From 2b4e832e231e167ef3d929f04d3bee17fd57d4c6 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 21 Sep 2020 21:11:46 +1000 Subject: [PATCH 0001/5916] Update all links to dev branch yamls --- yaml/index.yaml | 98 ++++++++++++++++++++++++------------------------- 1 file changed, 49 insertions(+), 49 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 9679e18a1..54b4a5912 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -2,201 +2,201 @@ Voice: Automatic Speech Recognition ENG (SG): title: Automatic Speech Recognition ENG (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/automatic_speech_recognition_eng_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_speech_recognition_eng_sg.yaml" Automatic Speech Recognition CHI (SG): title: Automatic Speech Recognition CHI (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/automatic_speech_recognition_chi_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_speech_recognition_chi_sg.yaml" Online Automatic Speech Recognition ENG (SG): title: Online Automatic Speech Recognition ENG (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/online_automatic_speech_recognition_eng_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/online_automatic_speech_recognition_eng_sg.yaml" Online Command Automatic Speech Recognition ENG (SG): title: Online Command Automatic Speech Recognition ENG (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/online_command_automatic_speech_recognition_eng_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/online_command_automatic_speech_recognition_eng_sg.yaml" Text-To-Speech ENG: title: Text-To-Speech ENG versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/text-to-speech_eng.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/text-to-speech_eng.yaml" Text-To-Speech CHI: title: Text-To-Speech CHI versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/text-to-speech_chi.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/text-to-speech_chi.yaml" ASR with Voice Activity Detection ENG (SG): title: ASR with Voice Activity Detection ENG (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/asr_with_vad_eng_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/asr_with_vad_eng_sg.yaml" Voice Activity Detection ENG: title: Voice Activity Detection ENG versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/voice_activity_detection_eng.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/voice_activity_detection_eng.yaml" NLP: Inverse Text Normalisation ENG: title: Inverse Text Normalisation ENG versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/inverse_text_normalisation_eng.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/inverse_text_normalisation_eng.yaml" Named-Entity Recognition ENG: title: Named-Entity Recognition ENG versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/named-entity_recognition_eng.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" Page Profiler ENG: title: Page Profiler ENG versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/page_profiler_eng.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" Taxonomy Matcher ENG: title: Taxonomy Matcher ENG versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/taxonomy_matcher_eng.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/taxonomy_matcher_eng.yaml" Word Sense Disambiguation ENG: title: Word Sense Disambiguation ENG versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/word_sense_disambiguation_eng.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/word_sense_disambiguation_eng.yaml" Named-Entity Recognition JAP: title: Named-Entity Recognition JAP versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/named-entity_recognition_jap.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_jap.yaml" Named Entity Recognition THAI: title: Named Entity Recognition THAI versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/named-entity_recognition_thai.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_thai.yaml" Script Alignment: title: Script Alignment versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/script_alignment.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/script_alignment.yaml" Computer Vision: Object Detection: title: Object Detection versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/object_detection.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/object_detection.yaml" Face Recognition Politicians (SG): title: Face Recognition Politicians (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/face_recognition_politicians_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/face_recognition_politicians_sg.yaml" People Counting: title: People Counting versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/people_counting.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/people_counting.yaml" Landmark Detection (SG): title: Landmark Detection (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/landmark_detection_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/landmark_detection_sg.yaml" Landmark Detection (JP): title: Landmark Detection (JP) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/landmark_detection_jp.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/landmark_detection_jp.yaml" Utility: Youtube Video Downloader: title: Youtube Video Downloader versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/youtube_video_downloader.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/youtube_video_downloader.yaml" Video-To-Audio Convertor: title: Video-To-Audio Convertor versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/video-to-audio_convertor.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/video-to-audio_convertor.yaml" Web Scraper: title: Web Scraper versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/web_scraper.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/web_scraper.yaml" Document Convertor ENG: title: Document Convertor ENG versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/document_convertor_eng.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/document_convertor_eng.yaml" PDF Extractor: title: PDF Extractor versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/pdf_extractor.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/pdf_extractor.yaml" PKI Key Generator: title: PKI Key Generator versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/pki_key_generator.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/pki_key_generator.yaml" Encryption using PKI Key: title: Encryption using PKI Key versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/encryption_using_pki_key.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/encryption_using_pki_key.yaml" Decryption using PKI Key: title: Decryption using PKI Key versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/decryption_using_pki_key.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/decryption_using_pki_key.yaml" Wikipedia Retrieval ENG: title: Wikipedia Retrieval ENG versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/wikipedia_retrieval_eng.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/wikipedia_retrieval_eng.yaml" JSON-CSV Convertor: title: JSON-CSV Convertor versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/json-csv_convertor.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/json-csv_convertor.yaml" CSV-JSON Convertor: title: CSV-JSON Convertor versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/csv-json_convertor.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/csv-json_convertor.yaml" Audio Format Convertor: title: Audio Format Convertor versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/audio_format_convertor.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/audio_format_convertor.yaml" Video-to-Image Convertor: title: Video-to-Image Convertor versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/video-to-image_convertor.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/video-to-image_convertor.yaml" Newspaper Article Scraper: title: Newspaper Article Scraper versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/newspaper_article_scraper.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/newspaper_article_scraper.yaml" URLs Retrieval: title: URLs Retrieval versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/urls_retrieval.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/urls_retrieval.yaml" Data: HDB Commercial Directories (SG): title: HDB Commercial Directories (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/commercial_directories_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/commercial_directories_hdb_sg.yaml" HDB Block Coordinates (SG): title: HDB Block Coordinates (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/building_addresses_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/building_addresses_hdb_sg.yaml" HDB Residential Occupancy Status (SG): title: HDB Residential Occupancy Status (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/residential_sales_and_rental_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/residential_sales_and_rental_hdb_sg.yaml" HDB Carpark Locations (SG): title: HDB Carpark Locations (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/carpark_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/carpark_hdb_sg.yaml" HDB Demographics (SG): title: HDB Demographics (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/demographics_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/demographics_hdb_sg.yaml" HDB Flat Ownership Duration (SG): title: HDB Flat Ownership Duration (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/flat_ownership_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/flat_ownership_hdb_sg.yaml" HDB Season Parking Availability (SG): title: HDB Season Parking Availability (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/season_parking_availability_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/season_parking_availability_hdb_sg.yaml" Directory of Singapore Startups: title: Directory of Singapore Startups versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/directory_of_singapore_startups.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/directory_of_singapore_startups.yaml" HDB Fitness Stations and Playgrounds (SG): title: HDB Fitness Stations and Playgrounds (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml" HDB Lamp Posts Locations (SG): title: HDB Lamp Posts Locations (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/amenities_lamp_posts_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/amenities_lamp_posts_hdb_sg.yaml" HDB Hardcourts Locations (SG): title: HDB Hardcourts Locations (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/amenities_hardcourts_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/amenities_hardcourts_hdb_sg.yaml" HDB Shelters Locations (SG): title: HDB Shelters Locations (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/amenities_shelters_hdb_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/amenities_shelters_hdb_sg.yaml" Data Alliance: Download Dataset API: title: Download Dataset API versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/download_dataset.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/download_dataset.yaml" From 58e8e57cc145973831ad03925ddd65f2bb4f0e7a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 21 Sep 2020 21:14:35 +1000 Subject: [PATCH 0002/5916] Add D&B microservices --- yaml/index.yaml | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 54b4a5912..42a1a64ba 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -195,7 +195,23 @@ Data: title: HDB Shelters Locations (SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/amenities_shelters_hdb_sg.yaml" -Data Alliance: + Business Check Plus Dun & Bradstreet (SG): + title: Business Check Plus Dun & Bradstreet (SG) + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml" + Basic Individual Search Dun & Bradstreet (SG): + title: Basic Individual Search Dun & Bradstreet (SG) + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml" + Business Check Dun & Bradstreet (SG): + title: Business Check Dun & Bradstreet (SG) + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BusinessCheckDun&Bradstreet(SG).yaml" + Brief Financial Extraction Dun & Bradstreet (SG): + title: Brief Financial Extraction Dun & Bradstreet (SG) + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml" +dataalliance: Download Dataset API: title: Download Dataset API versions: From 122947d032cefb3111d170daf7ce4b4b74b5968d Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 21 Sep 2020 21:15:56 +1000 Subject: [PATCH 0003/5916] Update index.yaml --- yaml/index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 42a1a64ba..9ed1a42fd 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -211,8 +211,8 @@ Data: title: Brief Financial Extraction Dun & Bradstreet (SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml" -dataalliance: - Download Dataset API: +Data Alliance: + download_dataset_api: title: Download Dataset API versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/download_dataset.yaml" From 4bb675aff5e9295ac502dcf6d53bc000f6dce661 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 21 Sep 2020 21:23:24 +1000 Subject: [PATCH 0004/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 9ed1a42fd..ef5acdb76 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -213,6 +213,6 @@ Data: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml" Data Alliance: download_dataset_api: - title: Download Dataset API + title: download_dataset_api versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/download_dataset.yaml" From a4e03723344fc6a822c61a10ff79f06a23aa7cba Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 21 Sep 2020 21:28:41 +1000 Subject: [PATCH 0005/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index ef5acdb76..617f588db 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -212,7 +212,7 @@ Data: versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml" Data Alliance: - download_dataset_api: + Download Dataset API: title: download_dataset_api versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/download_dataset.yaml" From bd28235cd44fcf0957614559a238377abbc92b69 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 21 Sep 2020 22:35:17 +1000 Subject: [PATCH 0006/5916] Update index.yaml --- yaml/index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 617f588db..4d03a5b16 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -213,6 +213,7 @@ Data: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml" Data Alliance: Download Dataset API: - title: download_dataset_api + title: Download Dataset API + urlkey: download_dataset_api versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/download_dataset.yaml" From 295a99642b7cfd06a21ac2b3efe6be7487569349 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Sep 2020 09:47:57 +0530 Subject: [PATCH 0007/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 74beee471..c5964e985 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -22,11 +22,7 @@ paths: examples: xml: summary: A sample XML response - value: ' - -1199707714C - - GPS INDUSTRIES PTE LTD' + value: '' responses: '200': description: success response @@ -427,4 +423,4 @@ components: type: apiKey name: x-api-key in: header - x-amazon-apigateway-authtype: custom \ No newline at end of file + x-amazon-apigateway-authtype: custom From a049abb5349376f3cca0b1184a528e54fdf88a37 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Sep 2020 09:53:47 +0530 Subject: [PATCH 0008/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 125 ++++++++++++++++++++++ 1 file changed, 125 insertions(+) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index c5964e985..f861b3a9c 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -30,6 +30,120 @@ paths: application/xml: schema: $ref: '#/components/schemas/success' + example: + success: + REPORT: + META_INFO: + SERVICE: string + SYSTEM_ID: string + CREATION_DATE: string + USER_ID: string + CLASS: string + REQ_SEARCH_INFO: + COMP_NAME: string + REG_NO: string + REQ_DATE: string + REQ_REG_NO: string + REQ_NAME: string + REQ_DATE_STR: string + REGISTRY_DETAIL: + COMP_NAME: string + RENEWAL_DATE: string + ADDRESS1: string + ADDRESS2: string + ADDRESS3: string + ADDRESS4: string + COMP_TYPE_CODE: string + REG_DATE: string + REG_ACTIVITY1: string + REG_ACTIVITY2: string + ACC_DATE: string + STATUS_EFFECT_DATE: string + NAME_EFFECT_DATE: string + EXPIRY_DATE: string + COMP_TYPE: string + CHANGE_ADDR_DATE: string + COMP_STATUS: string + REG_ACTIVITY_DESC1: string + REG_ACTIVITY_DESC2: string + AUDITOR: string + AUDITOR_APPMT_DATE: string + LAST_AR_DATE: string + LAST_AGM_DATE: string + COUNTRY_INCORP: string + EMPLOYEE_SIZE: + ELEMENTS: string + AMOUNT: string + LIST_BIZ_BRANCH: + BIZ_BRANCH: + ADDR_BUILDING: string + ADDR_POSTCODE: string + ADDR_ADDRESS1: string + LIST_REG_CHARGES: + REG_CHARGES: + CHARGE_NO: string + CHARGE_DATE: string + CHARGEE_COMP: string + CURRENCY: string + AMT_SECURED: string + STATUS_SATISFACTION: string + LIST_LIQUIDATOR: + LIQUIDATOR: + LIQ_NAME: string + LIQ_ID: string + LIQ_POSITION: string + LIQ_COMP: string + LIQ_ADDRESS1: string + LIQ_ADDRESS2: string + LIQ_ADDRESS3: string + LIQ_ADDRESS4: string + LIQ_APPOINTMENT_DATE: string + LIST_SALES_REVENUE_AMOUNT: + SALES_REVENUE_AMOUNT: + ELEMENTS: string + YEAR: string + CURRENCY: string + AMOUNT: 0 + LIST_SHAREHOLDER: + SHAREHOLDER: + ADDRESS: string + COMP_ID: string + NO_OF_SHARE: string + CURRENCY: string + SHAREHOLDER_TYPE: string + SHARE_TYPE: string + SHAREHOLDER_NAME: string + CHANGE_ADDR_DATE: string + ADDR_TYPE: string + NATIONALITY: string + LIST_SHARE_INTEREST_COMP: + SHARE_INTEREST_COMP: + COMP_NAME: string + SHARE_OWNED_UNIT: string + SHARE_OWNED_PERCENT: string + STATUS: string + LIST_OFFICER_OWNER: + OFFICER_OWNER: + ADDRESS: string + IDENTITY_ID: string + POSITION: string + ADDR_TYPE: string + CESSATION_DATE: string + OFFICER_NAME: string + CHANGE_ADDR_DATE: string + APPMT_DATE: string + NATIONALITY: string + LIST_CAPITAL: + CAPITAL: + CAPITAL_CATEGORY: string + CAPITAL_TYPE: string + CURRENCY: string + CAPITAL_AMT: string + NO_OF_SHARES: string + LIST_NAME_CHANGE: + NAME_CHANGE: + PREV_NAME: string + EFFECT_DATE: string '401': description: Unauthorized content: @@ -418,9 +532,20 @@ components: status: type: string example: Failure + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release securitySchemes: APIAuthorizer: type: apiKey name: x-api-key in: header x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 68fd61edb35bb408666f67c9fe2c2fe0253cc4c0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Sep 2020 15:36:41 +0530 Subject: [PATCH 0009/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index f861b3a9c..2e93b768d 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -456,7 +456,7 @@ components: EFFECT_DATE: type: string unauthorized: - type: array + type: object items: properties: message: @@ -466,7 +466,7 @@ components: type: string example: Failure forbidden: - type: array + type: object items: properties: message: @@ -476,7 +476,7 @@ components: type: string example: Failure paymentrequired: - type: array + type: object items: properties: message: @@ -486,7 +486,7 @@ components: type: string example: Failure notfound: - type: array + type: object items: properties: message: @@ -496,7 +496,7 @@ components: type: string example: Failure servererror: - type: array + type: object items: properties: message: From 89eb0039cf2ca2ffced8bff75417315c1b00c330 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Sep 2020 16:13:21 +0530 Subject: [PATCH 0010/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 75 +++++++++++------------ 1 file changed, 35 insertions(+), 40 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 2e93b768d..3535c5afa 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -457,54 +457,49 @@ components: type: string unauthorized: type: object - items: - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure forbidden: type: object - items: - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure paymentrequired: type: object - items: - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure notfound: type: object - items: - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure servererror: type: object - items: - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure gatewaytimeout: type: object properties: From ee173201bb024d6312b817ce057de9e49c83dbbd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Sep 2020 16:23:07 +0530 Subject: [PATCH 0011/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 3535c5afa..6ba19f999 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -527,6 +527,12 @@ components: status: type: string example: Failure + input: + type: object + properties: + status: + type: string + example: Input Limit Exceeded versions: type: object properties: From a1a10c4f4bf593bfec9ba4647732324d765cfbac Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Sep 2020 16:32:54 +0530 Subject: [PATCH 0012/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 251 ++++++++++++---------- 1 file changed, 138 insertions(+), 113 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 6ba19f999..a3720bd51 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -31,119 +31,144 @@ paths: schema: $ref: '#/components/schemas/success' example: - success: - REPORT: - META_INFO: - SERVICE: string - SYSTEM_ID: string - CREATION_DATE: string - USER_ID: string - CLASS: string - REQ_SEARCH_INFO: - COMP_NAME: string - REG_NO: string - REQ_DATE: string - REQ_REG_NO: string - REQ_NAME: string - REQ_DATE_STR: string - REGISTRY_DETAIL: - COMP_NAME: string - RENEWAL_DATE: string - ADDRESS1: string - ADDRESS2: string - ADDRESS3: string - ADDRESS4: string - COMP_TYPE_CODE: string - REG_DATE: string - REG_ACTIVITY1: string - REG_ACTIVITY2: string - ACC_DATE: string - STATUS_EFFECT_DATE: string - NAME_EFFECT_DATE: string - EXPIRY_DATE: string - COMP_TYPE: string - CHANGE_ADDR_DATE: string - COMP_STATUS: string - REG_ACTIVITY_DESC1: string - REG_ACTIVITY_DESC2: string - AUDITOR: string - AUDITOR_APPMT_DATE: string - LAST_AR_DATE: string - LAST_AGM_DATE: string - COUNTRY_INCORP: string - EMPLOYEE_SIZE: - ELEMENTS: string - AMOUNT: string - LIST_BIZ_BRANCH: - BIZ_BRANCH: - ADDR_BUILDING: string - ADDR_POSTCODE: string - ADDR_ADDRESS1: string - LIST_REG_CHARGES: - REG_CHARGES: - CHARGE_NO: string - CHARGE_DATE: string - CHARGEE_COMP: string - CURRENCY: string - AMT_SECURED: string - STATUS_SATISFACTION: string - LIST_LIQUIDATOR: - LIQUIDATOR: - LIQ_NAME: string - LIQ_ID: string - LIQ_POSITION: string - LIQ_COMP: string - LIQ_ADDRESS1: string - LIQ_ADDRESS2: string - LIQ_ADDRESS3: string - LIQ_ADDRESS4: string - LIQ_APPOINTMENT_DATE: string - LIST_SALES_REVENUE_AMOUNT: - SALES_REVENUE_AMOUNT: - ELEMENTS: string - YEAR: string - CURRENCY: string - AMOUNT: 0 - LIST_SHAREHOLDER: - SHAREHOLDER: - ADDRESS: string - COMP_ID: string - NO_OF_SHARE: string - CURRENCY: string - SHAREHOLDER_TYPE: string - SHARE_TYPE: string - SHAREHOLDER_NAME: string - CHANGE_ADDR_DATE: string - ADDR_TYPE: string - NATIONALITY: string - LIST_SHARE_INTEREST_COMP: - SHARE_INTEREST_COMP: - COMP_NAME: string - SHARE_OWNED_UNIT: string - SHARE_OWNED_PERCENT: string - STATUS: string - LIST_OFFICER_OWNER: - OFFICER_OWNER: - ADDRESS: string - IDENTITY_ID: string - POSITION: string - ADDR_TYPE: string - CESSATION_DATE: string - OFFICER_NAME: string - CHANGE_ADDR_DATE: string - APPMT_DATE: string - NATIONALITY: string - LIST_CAPITAL: - CAPITAL: - CAPITAL_CATEGORY: string - CAPITAL_TYPE: string - CURRENCY: string - CAPITAL_AMT: string - NO_OF_SHARES: string - LIST_NAME_CHANGE: - NAME_CHANGE: - PREV_NAME: string - EFFECT_DATE: string + + + + + string + string + string + string + string + + + string + string + string + string + string + string + + + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + + + string + string + + + + string + string + string + + + + + string + string + string + string + string + string + + + + + string + string + string + string + string + string + string + string + string + + + + + string + string + string + 0 + + + + +
string
+ string + string + string + string + string + string + string + string + string + + + + + string + string + string + string + + + + +
string
+ string + string + string + string + string + string + string + string + + + + + string + string + string + string + string + + + + + string + string + + + + '401': description: Unauthorized content: From 4799b3d2796c254fb74a6b3b716efb19b79c3549 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 08:57:24 +0530 Subject: [PATCH 0013/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 4d03a5b16..2de3ef288 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -206,7 +206,7 @@ Data: Business Check Dun & Bradstreet (SG): title: Business Check Dun & Bradstreet (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BusinessCheckDun&Bradstreet(SG).yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/BusinessCheckDun&Bradstreet(SG).yaml" Brief Financial Extraction Dun & Bradstreet (SG): title: Brief Financial Extraction Dun & Bradstreet (SG) versions: From 2263f2788e72cd782abed16ccf0037151b8ad63e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 09:01:18 +0530 Subject: [PATCH 0014/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 251 ++++++++++------------ 1 file changed, 113 insertions(+), 138 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index a3720bd51..6ba19f999 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -31,144 +31,119 @@ paths: schema: $ref: '#/components/schemas/success' example: - - - - - string - string - string - string - string - - - string - string - string - string - string - string - - - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - - - string - string - - - - string - string - string - - - - - string - string - string - string - string - string - - - - - string - string - string - string - string - string - string - string - string - - - - - string - string - string - 0 - - - - -
string
- string - string - string - string - string - string - string - string - string - - - - - string - string - string - string - - - - -
string
- string - string - string - string - string - string - string - string - - - - - string - string - string - string - string - - - - - string - string - - - - + success: + REPORT: + META_INFO: + SERVICE: string + SYSTEM_ID: string + CREATION_DATE: string + USER_ID: string + CLASS: string + REQ_SEARCH_INFO: + COMP_NAME: string + REG_NO: string + REQ_DATE: string + REQ_REG_NO: string + REQ_NAME: string + REQ_DATE_STR: string + REGISTRY_DETAIL: + COMP_NAME: string + RENEWAL_DATE: string + ADDRESS1: string + ADDRESS2: string + ADDRESS3: string + ADDRESS4: string + COMP_TYPE_CODE: string + REG_DATE: string + REG_ACTIVITY1: string + REG_ACTIVITY2: string + ACC_DATE: string + STATUS_EFFECT_DATE: string + NAME_EFFECT_DATE: string + EXPIRY_DATE: string + COMP_TYPE: string + CHANGE_ADDR_DATE: string + COMP_STATUS: string + REG_ACTIVITY_DESC1: string + REG_ACTIVITY_DESC2: string + AUDITOR: string + AUDITOR_APPMT_DATE: string + LAST_AR_DATE: string + LAST_AGM_DATE: string + COUNTRY_INCORP: string + EMPLOYEE_SIZE: + ELEMENTS: string + AMOUNT: string + LIST_BIZ_BRANCH: + BIZ_BRANCH: + ADDR_BUILDING: string + ADDR_POSTCODE: string + ADDR_ADDRESS1: string + LIST_REG_CHARGES: + REG_CHARGES: + CHARGE_NO: string + CHARGE_DATE: string + CHARGEE_COMP: string + CURRENCY: string + AMT_SECURED: string + STATUS_SATISFACTION: string + LIST_LIQUIDATOR: + LIQUIDATOR: + LIQ_NAME: string + LIQ_ID: string + LIQ_POSITION: string + LIQ_COMP: string + LIQ_ADDRESS1: string + LIQ_ADDRESS2: string + LIQ_ADDRESS3: string + LIQ_ADDRESS4: string + LIQ_APPOINTMENT_DATE: string + LIST_SALES_REVENUE_AMOUNT: + SALES_REVENUE_AMOUNT: + ELEMENTS: string + YEAR: string + CURRENCY: string + AMOUNT: 0 + LIST_SHAREHOLDER: + SHAREHOLDER: + ADDRESS: string + COMP_ID: string + NO_OF_SHARE: string + CURRENCY: string + SHAREHOLDER_TYPE: string + SHARE_TYPE: string + SHAREHOLDER_NAME: string + CHANGE_ADDR_DATE: string + ADDR_TYPE: string + NATIONALITY: string + LIST_SHARE_INTEREST_COMP: + SHARE_INTEREST_COMP: + COMP_NAME: string + SHARE_OWNED_UNIT: string + SHARE_OWNED_PERCENT: string + STATUS: string + LIST_OFFICER_OWNER: + OFFICER_OWNER: + ADDRESS: string + IDENTITY_ID: string + POSITION: string + ADDR_TYPE: string + CESSATION_DATE: string + OFFICER_NAME: string + CHANGE_ADDR_DATE: string + APPMT_DATE: string + NATIONALITY: string + LIST_CAPITAL: + CAPITAL: + CAPITAL_CATEGORY: string + CAPITAL_TYPE: string + CURRENCY: string + CAPITAL_AMT: string + NO_OF_SHARES: string + LIST_NAME_CHANGE: + NAME_CHANGE: + PREV_NAME: string + EFFECT_DATE: string '401': description: Unauthorized content: From 541a9ca375f1f39b0b0f88728025f128e4d4e62c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 09:45:03 +0530 Subject: [PATCH 0015/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 6ba19f999..3d0baa08c 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -18,11 +18,7 @@ paths: content: application/xml: schema: - type: string - examples: - xml: - summary: A sample XML response - value: '' + $ref: '#/components/schemas/success' responses: '200': description: success response From 02f0a1d33bddabcfccc018f67fa439a577f294c9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 10:04:29 +0530 Subject: [PATCH 0016/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 3d0baa08c..e5fcafb63 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -26,7 +26,7 @@ paths: application/xml: schema: $ref: '#/components/schemas/success' - example: + example: |+ success: REPORT: META_INFO: From 3da1b19940ce3b3506506c2afcedbb7e8ec95538 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 10:07:30 +0530 Subject: [PATCH 0017/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 105 ---------------------- 1 file changed, 105 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index e5fcafb63..a03c98966 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -35,111 +35,6 @@ paths: CREATION_DATE: string USER_ID: string CLASS: string - REQ_SEARCH_INFO: - COMP_NAME: string - REG_NO: string - REQ_DATE: string - REQ_REG_NO: string - REQ_NAME: string - REQ_DATE_STR: string - REGISTRY_DETAIL: - COMP_NAME: string - RENEWAL_DATE: string - ADDRESS1: string - ADDRESS2: string - ADDRESS3: string - ADDRESS4: string - COMP_TYPE_CODE: string - REG_DATE: string - REG_ACTIVITY1: string - REG_ACTIVITY2: string - ACC_DATE: string - STATUS_EFFECT_DATE: string - NAME_EFFECT_DATE: string - EXPIRY_DATE: string - COMP_TYPE: string - CHANGE_ADDR_DATE: string - COMP_STATUS: string - REG_ACTIVITY_DESC1: string - REG_ACTIVITY_DESC2: string - AUDITOR: string - AUDITOR_APPMT_DATE: string - LAST_AR_DATE: string - LAST_AGM_DATE: string - COUNTRY_INCORP: string - EMPLOYEE_SIZE: - ELEMENTS: string - AMOUNT: string - LIST_BIZ_BRANCH: - BIZ_BRANCH: - ADDR_BUILDING: string - ADDR_POSTCODE: string - ADDR_ADDRESS1: string - LIST_REG_CHARGES: - REG_CHARGES: - CHARGE_NO: string - CHARGE_DATE: string - CHARGEE_COMP: string - CURRENCY: string - AMT_SECURED: string - STATUS_SATISFACTION: string - LIST_LIQUIDATOR: - LIQUIDATOR: - LIQ_NAME: string - LIQ_ID: string - LIQ_POSITION: string - LIQ_COMP: string - LIQ_ADDRESS1: string - LIQ_ADDRESS2: string - LIQ_ADDRESS3: string - LIQ_ADDRESS4: string - LIQ_APPOINTMENT_DATE: string - LIST_SALES_REVENUE_AMOUNT: - SALES_REVENUE_AMOUNT: - ELEMENTS: string - YEAR: string - CURRENCY: string - AMOUNT: 0 - LIST_SHAREHOLDER: - SHAREHOLDER: - ADDRESS: string - COMP_ID: string - NO_OF_SHARE: string - CURRENCY: string - SHAREHOLDER_TYPE: string - SHARE_TYPE: string - SHAREHOLDER_NAME: string - CHANGE_ADDR_DATE: string - ADDR_TYPE: string - NATIONALITY: string - LIST_SHARE_INTEREST_COMP: - SHARE_INTEREST_COMP: - COMP_NAME: string - SHARE_OWNED_UNIT: string - SHARE_OWNED_PERCENT: string - STATUS: string - LIST_OFFICER_OWNER: - OFFICER_OWNER: - ADDRESS: string - IDENTITY_ID: string - POSITION: string - ADDR_TYPE: string - CESSATION_DATE: string - OFFICER_NAME: string - CHANGE_ADDR_DATE: string - APPMT_DATE: string - NATIONALITY: string - LIST_CAPITAL: - CAPITAL: - CAPITAL_CATEGORY: string - CAPITAL_TYPE: string - CURRENCY: string - CAPITAL_AMT: string - NO_OF_SHARES: string - LIST_NAME_CHANGE: - NAME_CHANGE: - PREV_NAME: string - EFFECT_DATE: string '401': description: Unauthorized content: From 85862983adb944b34b56aa6a1b1a9529e0276ef3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 10:08:09 +0530 Subject: [PATCH 0018/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 2de3ef288..4d03a5b16 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -206,7 +206,7 @@ Data: Business Check Dun & Bradstreet (SG): title: Business Check Dun & Bradstreet (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/master/yaml/BusinessCheckDun&Bradstreet(SG).yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BusinessCheckDun&Bradstreet(SG).yaml" Brief Financial Extraction Dun & Bradstreet (SG): title: Brief Financial Extraction Dun & Bradstreet (SG) versions: From fd0b1361e705180d9b9394261c642465806a4e97 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 10:11:03 +0530 Subject: [PATCH 0019/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 146 ++++++++++++++++++++-- 1 file changed, 138 insertions(+), 8 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index a03c98966..1cc4e01d1 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -27,14 +27,144 @@ paths: schema: $ref: '#/components/schemas/success' example: |+ - success: - REPORT: - META_INFO: - SERVICE: string - SYSTEM_ID: string - CREATION_DATE: string - USER_ID: string - CLASS: string + + + + + string + string + string + string + string + + + string + string + string + string + string + string + + + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + string + + + string + string + + + + string + string + string + + + + + string + string + string + string + string + string + + + + + string + string + string + string + string + string + string + string + string + + + + + string + string + string + 0 + + + + +
string
+ string + string + string + string + string + string + string + string + string + + + + + string + string + string + string + + + + +
string
+ string + string + string + string + string + string + string + string + + + + + string + string + string + string + string + + + + + string + string + + + + '401': description: Unauthorized content: From d24de1d3cc5a108084634bd8f0a4a94956bb9b53 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 10:16:48 +0530 Subject: [PATCH 0020/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 1cc4e01d1..08f81a575 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -28,24 +28,43 @@ paths: $ref: '#/components/schemas/success' example: |+ + + + + string + string + string + string + string + + + string + string + string + string + string + string + + + string string string From 0ee1f087ef3df9799d9b6a447d0e9ff6ad614fa7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 10:31:26 +0530 Subject: [PATCH 0021/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 19 ++++++++++++++----- 1 file changed, 14 insertions(+), 5 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 08f81a575..2e1a6566b 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -18,7 +18,7 @@ paths: content: application/xml: schema: - $ref: '#/components/schemas/success' + $ref: '#/components/schemas/REQUEST' responses: '200': description: success response @@ -567,12 +567,21 @@ components: status: type: string example: Failure - input: + REQUEST: type: object properties: - status: - type: string - example: Input Limit Exceeded + TOT_ITEMS: + type: number + example: 1 + ENQUIRY: + type: object + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD versions: type: object properties: From ee468b3c5dac7eade76ebbbf475d2003e7d1d69a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 11:49:55 +0530 Subject: [PATCH 0022/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 2e1a6566b..8986ce96b 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -573,15 +573,20 @@ components: TOT_ITEMS: type: number example: 1 + description: Number of subjects being enquired relating to the Run ENQUIRY: type: object + example: + description: Contains information of each request details properties: SUBJECT_IDNO: type: string example: 199707714C + description: Subject’s ID Number (individual) or Registration SUBJECT_NAME: type: string example: GPS INDUSTRIES PTE LTD + description: Subject’s Name as captured in DDP versions: type: object properties: From cb3ef28267932cba13530b1be89bea03771b5a87 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 15:44:03 +0530 Subject: [PATCH 0023/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 8986ce96b..ef840ff86 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -27,6 +27,7 @@ paths: schema: $ref: '#/components/schemas/success' example: |+ + ```xml @@ -184,6 +185,7 @@ paths: + ``` '401': description: Unauthorized content: From 82cb13148e9d5ed637e525653f377930ce2edbdc Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 15:53:15 +0530 Subject: [PATCH 0024/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 164 +--------------------- 1 file changed, 5 insertions(+), 159 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index ef840ff86..50a6361e6 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -27,165 +27,11 @@ paths: schema: $ref: '#/components/schemas/success' example: |+ - ```xml - - - - - - - - - string - - string - - string - - string - - string - - - - - - string - - string - - string - - string - - string - - string - - - - - - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - string - - - string - string - - - - string - string - string - - - - - string - string - string - string - string - string - - - - - string - string - string - string - string - string - string - string - string - - - - - string - string - string - 0 - - - - -
string
- string - string - string - string - string - string - string - string - string - - - - - string - string - string - string - - - - -
string
- string - string - string - string - string - string - string - string - - - - - string - string - string - string - string - - - - - string - string - - - - - ``` + string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string 0
string
+ + string string string string string string string string string string string string string
string
+ + string string string string string string string string string string string string string string string '401': description: Unauthorized content: From bf3b13c70199cbd7e16bc91dcb2798f50e6cd75d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 16:02:43 +0530 Subject: [PATCH 0025/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 50a6361e6..62e91c8ff 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -1,7 +1,8 @@ openapi: 3.0.1 info: title: Business Check Dun & Bradstreet (SG) - description: This Data microservice provides key business information of a Singapore-registered company includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily.

Authentication:

Authentication is done using the x-api-key in the request header.

+ description: |+ + This Data microservice provides key business information of a Singapore-registered company includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. version: '0.1' servers: - url: 'https://api.sentient.io' @@ -422,19 +423,23 @@ components: type: number example: 1 description: Number of subjects being enquired relating to the Run + default: false ENQUIRY: type: object example: description: Contains information of each request details + default: true properties: SUBJECT_IDNO: type: string example: 199707714C - description: Subject’s ID Number (individual) or Registration + description: Subjects ID Number (individual) or Registration + default: true SUBJECT_NAME: type: string example: GPS INDUSTRIES PTE LTD - description: Subject’s Name as captured in DDP + description: Subjects Name as captured in DDP + default: false versions: type: object properties: From cba7ecc239cfc38f7cdf13f07bb6831ba3314a20 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 16:05:23 +0530 Subject: [PATCH 0026/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 62e91c8ff..a5ffedfd2 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -433,7 +433,8 @@ components: SUBJECT_IDNO: type: string example: 199707714C - description: Subjects ID Number (individual) or Registration + description: |+ + Subjects ID Number (individual) or Registration default: true SUBJECT_NAME: type: string From 28efdafa09c78728f6d63640756bd752f3a93f68 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 16:06:49 +0530 Subject: [PATCH 0027/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index a5ffedfd2..dd1cbfec6 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -432,7 +432,7 @@ components: properties: SUBJECT_IDNO: type: string - example: 199707714C + example: "199707714C" description: |+ Subjects ID Number (individual) or Registration default: true From 4327e977dd9646833f0b2231280347f76b38a71c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 16:33:26 +0530 Subject: [PATCH 0028/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 152 ++++++++++++++++++++-- 1 file changed, 141 insertions(+), 11 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index dd1cbfec6..5e9da198f 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -90,20 +90,34 @@ components: properties: REPORT: type: object + example: "[META_INFO] [REGISTRY_DETAIL] [REQ_SEARCH_INFO] [EMPLOYEE_SIZE] [LIST_BIZ_BRANCH] [LIST_REG_CHARGES] [LIST_LIQUIDATOR] [LIST_WINDING_UP] [LIST_LITIGATION] [LIST_SHARE_INTEREST_COMP] [LIST_NAME_CHANGE] [LIST_SHAREHOLDER] [LIST_CAPITAL] [LIST_OFFICER_OWNER][LIST_SALES_REVENUE_AMOUNT]" + description: Object of Items properties: META_INFO: type: object + example: "SERVICE SYSTEM_ID,CREATION_DATE,USER_ID" + description: Object of Items properties: SERVICE: type: string + example: 10 BCP + description: Report requested SYSTEM_ID : type: string + example: DDP + description: System ID CREATION_DATE: type: string + description: Report request date + example: Date & time USER_ID : type: string + description: Valid user id in DDP system + example: Valid User ID CLASS : - type: string + type: string + description: Class location for metabean. + example: N/A REQ_SEARCH_INFO : type: object properties: @@ -121,134 +135,250 @@ components: type: string REGISTRY_DETAIL : type: object + example: "RENEWAL_DATE ADDRESS1 ADDRESS2 ADDRESS3 ADDRESS4 COMP_TYPE_CODE REG_DATE REG_ACTIVITY1 REG_ACTIVITY2 ACC_DATE STATUS_EFFECT_DATE NAME_EFFECT_DATE EXPIRY_DATE COMP_TYPE CHANGE_ADDR_DATE COMP_STATUS REG_ACTIVITY_DESC1 REG_ACTIVITY_DESC2 AUDITOR AUDITOR_APPMT_DATE LAST_AR_DATE LAST_AGM_DATE COUNTRY_INCORP" + description: Registry Details properties: COMP_NAME: type: string + example: + description: Company Name RENEWAL_DATE: type: string + example: DD/MM/YYYY + description: Renewal Date ADDRESS1 : type: string + example: + description: Address1 ADDRESS2 : type: string + example: + description: Address2 ADDRESS3 : type: string + example: + description: Address3 ADDRESS4: - type: string + type: string + example: + description: Address4 COMP_TYPE_CODE: type: string + example: + description: Report Code REG_DATE : type: string + example: + description: Registration Date REG_ACTIVITY1: type: string + example: + description: Registered Activities 1 REG_ACTIVITY2: type: string + example: + description: Registered Activities 2 ACC_DATE : type: string + example: + description: Account Date STATUS_EFFECT_DATE: - type: string + type: string + example: + description: Status Effective Date NAME_EFFECT_DATE: type: string + example: + description: Name Effective Date EXPIRY_DATE : type: string + example: + description: Expiry Date COMP_TYPE : type: string + example: + description: Company Type CHANGE_ADDR_DATE : type: string + example: + description: Change Address Date COMP_STATUS : type: string + example: + description: Company Status REG_ACTIVITY_DESC1 : - type: string + type: string + example: + description: Registered Activities Description REG_ACTIVITY_DESC2 : type: string + example: + description: Registered Activities Description AUDITOR : type: string + example: + description: Auditor Name AUDITOR_APPMT_DATE : type: string + example: + description: Auditor Appointment Date LAST_AR_DATE : type: string + example: + description: Date of Last AR LAST_AGM_DATE : type: string + example: + description: Date of Last AGM COUNTRY_INCORP: - type: string + type: string + example: + description: Country Incorporated EMPLOYEE_SIZE : type: object + example: + description: Employee Size Details properties: ELEMENTS: type: string + example: + description: Elements Description AMOUNT: type: string + example: + description: Number of employee LIST_BIZ_BRANCH : type: array + description: List of Business Branches + example: "[BIZ_BRANCH]" items: properties: BIZ_BRANCH : type: object + description: List of Branches + example: "ADDR_BUILDING ADDR_POSTCODE ADDR_ADDRESS1" properties: ADDR_BUILDING : type: string + description: Building Name + example: ADDR_POSTCODE : type: string + description: Postcode + example: ADDR_ADDRESS1 : type: string + description: Address + example: LIST_REG_CHARGES : type: array + description: List of Registered Charges + example: "[REG_CHARGES]" items: properties: REG_CHARGES : type: object + description: Registered Charges Details + example: "CHARGE_NO CHARGE_DATE CHARGEE_COMP CURRENCY AMT_SECURED STATUS_SATISFACTION" properties: CHARGE_NO : type: string + example: + description: Charge No CHARGE_DATE : type: string + example: + description: Charge Date CHARGEE_COMP : - type: string + type: string + example: + description: Charges Company CURRENCY : type: string + example: + description: Currency AMT_SECURED : type: string + example: + description: Amount Secured STATUS_SATISFACTION : - type: string + type: string + example: + description: Status of Satisfaction LIST_LIQUIDATOR : type: array + description: List of Liquidator / Receiver / Judicial Manager + example: "[LIQUIDATOR]" items: properties: LIQUIDATOR : type: object + description: Liquidator List + example: "LIQ_POSITION LIQ_ID LIQ_NAME LIQ_COMP LIQ_ADDRESS1 LIQ_ADDRESS2 LIQ_ADDRESS3 LIQ_ADDRESS4 LIQ_APPOINTMENT_DATE" properties: LIQ_NAME : type: string + description: Liquidator / Receiver / Judicial Manager Name + example: LIQ_ID : type: string + description: Liquidator / Receiver / Judicial Manager ID + example: LIQ_POSITION : - type: string + type: string + description: Liquidator / Receiver / Judicial Manager Position + example: LIQ_COMP: type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: LIQ_ADDRESS1 : type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: LIQ_ADDRESS2 : - type: string + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: LIQ_ADDRESS3: type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: LIQ_ADDRESS4 : type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: LIQ_APPOINTMENT_DATE : - type: string + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: LIST_SALES_REVENUE_AMOUNT : type: array + description: List of Sales Revenue Amount + example: "[SALES_REVENUE_AMOUNT]" items: properties: SALES_REVENUE_AMOUNT: type: object + description: Sales Revenue Amount Details + example: "ELEMENTS YEAR CURRENCY AMOUNT" properties: ELEMENTS : type: string + description: Description + example: YEAR : - type: string + type: string + description: Year + example: CURRENCY : type: string + description: Currency + example: AMOUNT: type: number + description: Amount + example: LIST_SHAREHOLDER: type: array items: From 5b33e138e37405c3acf3c58bb77992bba3ae20e8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 16:43:07 +0530 Subject: [PATCH 0029/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 22 +++++++++++++++++++++- 1 file changed, 21 insertions(+), 1 deletion(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 5e9da198f..22fc58aab 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -120,19 +120,33 @@ components: example: N/A REQ_SEARCH_INFO : type: object + description: Request criteria & search record + example: "COMP_NAME REG_NO REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR" properties: COMP_NAME : type: string + description: Company Name + example: REG_NO : type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: REQ_DATE : type: string + description: Report Requested Date + example: REQ_REG_NO : type: string + description: Request Registration Number + example: REQ_NAME : type: string + description: Request Name + example: REQ_DATE_STR : - type: string + type: string + description: Request Date String + example: REGISTRY_DETAIL : type: object example: "RENEWAL_DATE ADDRESS1 ADDRESS2 ADDRESS3 ADDRESS4 COMP_TYPE_CODE REG_DATE REG_ACTIVITY1 REG_ACTIVITY2 ACC_DATE STATUS_EFFECT_DATE NAME_EFFECT_DATE EXPIRY_DATE COMP_TYPE CHANGE_ADDR_DATE COMP_STATUS REG_ACTIVITY_DESC1 REG_ACTIVITY_DESC2 AUDITOR AUDITOR_APPMT_DATE LAST_AR_DATE LAST_AGM_DATE COUNTRY_INCORP" @@ -381,6 +395,8 @@ components: example: LIST_SHAREHOLDER: type: array + example: + description: List of Shareholders items: properties: SHAREHOLDER: @@ -408,6 +424,7 @@ components: type: string LIST_SHARE_INTEREST_COMP : type: array + description: List of share interest company items: properties: SHARE_INTEREST_COMP: @@ -423,6 +440,7 @@ components: type: string LIST_OFFICER_OWNER : type: array + description: List of office owner items: properties: OFFICER_OWNER: @@ -448,6 +466,7 @@ components: type: string LIST_CAPITAL: type: array + description: List of capital items: properties: CAPITAL: @@ -465,6 +484,7 @@ components: type: string LIST_NAME_CHANGE: type: array + description: List of name change items: properties: NAME_CHANGE: From 46956686c7cdceac725b603047c3c4294fe68486 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Sep 2020 19:59:04 +0530 Subject: [PATCH 0030/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 22fc58aab..94310f21c 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -489,11 +489,14 @@ components: properties: NAME_CHANGE: type: object + description: List of name change properties: PREV_NAME: type: string + description: Previous name EFFECT_DATE: - type: string + type: string + description: Effect Date unauthorized: type: object properties: From 2da114e55eb59db69124bc876acdf480ba501b45 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 25 Sep 2020 10:42:21 +0530 Subject: [PATCH 0031/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 138 +++++++++++------- 1 file changed, 82 insertions(+), 56 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 578a7a3b1..41f20d30e 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -1,7 +1,8 @@ openapi: 3.0.1 info: title: Basic Individual Search Dun & Bradstreet (SG) - description: This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily.

Authentication:

Authentication is done using the x-api-key in the request header. + description: |+ + This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily. version: '0.1' servers: - url: 'https://api.sentient.io' @@ -18,15 +19,7 @@ paths: content: application/xml: schema: - type: string - examples: - xml: - summary: A sample XML response - value: ' - -1197803191K - -' + $ref: '#/components/schemas/REQUEST' responses: '200': description: success response @@ -34,6 +27,8 @@ paths: application/xml: schema: $ref: '#/components/schemas/success' + example: |+ + string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string 0 0 0 0 0 0 0 0 0 0 0 0 0 0 '401': description: Unauthorized content: @@ -372,55 +367,50 @@ components: Rcsecflag: type: number unauthorized: - type: array - items: - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure forbidden: - type: array - items: - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure paymentrequired: - type: array - items: - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure notfound: - type: array - items: - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure servererror: - type: array - items: - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure gatewaytimeout: type: object properties: @@ -448,9 +438,45 @@ components: status: type: string example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: number + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: "199707714C" + description: |+ + Subjects ID Number (individual) or Registration + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release securitySchemes: APIAuthorizer: type: apiKey name: x-api-key in: header - x-amazon-apigateway-authtype: custom \ No newline at end of file + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From cf5721e3dc5b646df3118288f72b5643cc82148f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 25 Sep 2020 11:00:26 +0530 Subject: [PATCH 0032/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 84 ++++++++++++++++++- 1 file changed, 82 insertions(+), 2 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 41f20d30e..d946376b4 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -86,82 +86,154 @@ components: properties: REPORT: type: object + example: "[META_INFO] [BASIC_INFO] [LIT_SEARCH_INFO] [LIST_CURRENT_COMP] [LIST_PREVIOUS_COMP] [LIST_BANKRUPTCY] [LIST_LIT] [LIST_LIT_DTL]" + description: Report properties: META_INFO: type: object + example: "SERVICE SYSTEM_ID CREATION_DATE USER_ID" + description: Meta Information properties: SERVICE: type: string + example: + description: Report Requested SYSTEM_ID : type: string + example: + description: System ID CREATION_DATE: type: string + example: + description: Report Request Date USER_ID : type: string + example: + description: Valid user id in DDP system BASIC_INFO : type: object + description: Basic information + example: PA_REG_NO ADDRESS1 ADDRESS2 ADDRESS3 properties: PA_REG_NO : type: string + description: Public Accountant Registration No. + example: ADDRESS1: type: string + description: Address 1 + example: ADDRESS2: type: string + description: Address 2 + example: ADDRESS3: type: string + description: Address 3 + example: LIT_SEARCH_INFO : type: object + example: "COMP_NAME REG_NO REPORT_TYPE REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR" + description: Litigation search information properties: COMP_NAME: type: string + description: Company Name + example: REG_NO: type: string + description: Company Registration No + example: REPORT_TYPE: type: string + description: Report Type + example: REQ_DATE: type: string + description: Requested Date + example: REQ_REG_NO: type: string + description: Request Registration Number + example: REQ_NAME: type: string + description: Request Name + example: REQ_DATE_STR: - type: string + type: string + description: Request Date String + example: LIST_CURRENT_COMP : type: object + description: List of current companies + example: "[CURRENT_COMP]" properties: CURRENT_COMP : type: object + description: Current companies detail + example: "POSITION APPOINTMENT_DATE COMP_NAME SEQ_NO SHARE_VALUE1 COMP_STATUS PROFIT_VALUE SHARE_VALUE TEL FAX SIC SIC_DESC" properties: POSITION: type: string + description: Position + example: APPOINTMENT_DATE: type: string + description: Appointment Date + example: COMP_NAME: type: string + description: Company Name + example: SEQ_NO: type: string + description: Company Registration No. + example: SHARE_VALUE1: type: string + description: Share Percentage + example: COMP_STATUS: - type: string + type: string + description: Company Status + example: PROFIT_VALUE1: type: string + description: Profit Making 1 + example: PROFIT_VALUE2: type: string + description: Profit Making 2 + example: PROFIT_VALUE3: type: string + description: Profit Making 3 + example: SHARE_VALUE: type: string + description: Number Of Shares + example: TEL: type: string + description: Telephone Number + example: FAX: type: string + description: Fax Number + example: SIC: type: string + description: SIC Code + example: SIC_DESC: type: string + description: SIC Description + example: LIST_PREVIOUS_COMP: type: array + example: "[PREVIOUS_COMP]" + description: List of previous companies items: properties: PREVIOUS_COMP : @@ -193,6 +265,8 @@ components: type: string LIST_BANKRUPTCY: type: array + description: Bankruptcy/ Winding up + example: "[BANKRUPTCY]" items: properties: BANKRUPTCY : @@ -241,6 +315,8 @@ components: type: string LIST_LIT: type: array + description: List of litigation + example: "[LIT]" items: properties: LIT: @@ -254,6 +330,8 @@ components: type: string LIST_LIT_DTL: type: array + description: List of litigation detail + example: "[LIT_DTL]" items: properties: LIT_DTL: @@ -333,6 +411,8 @@ components: type: string LIST_Ddrptcount: type: array + description: List of Search By Financial Sectors and Search By Non-Financial Sectors + example: "[Ddrptcount]" items: properties: Ddrptcount: From 958d35fe77214b97d1a632d11fcef539bbcca595 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 25 Sep 2020 11:04:25 +0530 Subject: [PATCH 0033/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 30 +++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index d946376b4..22675ab1b 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -417,35 +417,65 @@ components: properties: Ddrptcount: type: object + description: 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) + example: Rcjan Rcfeb Rcmar Rcapr Rcmay Rcjun Rcjul Rcaug Rcsep Rcoct Rcnov Rcdec Rcyear Rcsecflag properties: Rcjan: type: number + description: Count for January + example: Rcfeb: type: number + description: Count for February + example: Rcmar: type: number + description: Count for March + example: Rcapr: type: number + description: Count for April + example: Rcmay: type: number + description: Count for May + example: Rcjun: type: number + description: Count for June + example: Rcjul: type: number + description: Count for July + example: Rcaug: type: number + description: Count for August + example: Rcsep: type: number + description: Count for September + example: Rcoct: type: number + description: Count for October + example: Rcnov: type: number + description: Count for November + example: Rcdec: type: number + description: Count for December + example: Rcyear: type: number + description: To show the year + example: Rcsecflag: type: number + description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors + example: unauthorized: type: object properties: From 498ab7973ca27cd5d71df0b0c51c7678acef72ff Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 25 Sep 2020 16:10:29 +0530 Subject: [PATCH 0034/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 320 +++++++++--------- 1 file changed, 153 insertions(+), 167 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index d2822200e..328210687 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: title: Business Check Plus Dun & Bradstreet (SG) - description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace of a company including the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily.

Authentication:

Authentication is done using the x-api-key in the request header. + description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace of a company including the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. version: '0.1' servers: - url: 'https://api.sentient.io' @@ -18,13 +18,7 @@ paths: content: application/xml: schema: - type: string - examples: - xml: - summary: A sample XML response - value: ' -1199707714C - GPS INDUSTRIES PTE LTD' + $ref: '#/components/schemas/REQUEST' responses: '200': description: success response @@ -32,6 +26,12 @@ paths: application/xml: schema: $ref: '#/components/schemas/success' + example: |+ + string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string
string
+ + string string string string string string string string string string string string string string
string
+ + string string string string string string string string string string string 0 string '401': description: Unauthorized content: @@ -89,105 +89,166 @@ components: properties: REPORT: type: object + example: "[META_INFO] [REGISTRY_DETAIL] [REQ_SEARCH_INFO] [EMPLOYEE_SIZE] [LIST_BIZ_BRANCH] [LIST_REG_CHARGES] [LIST_LIQUIDATOR] [LIST_WINDING_UP] [LIST_LITIGATION] [LIST_SHARE_INTEREST_COMP] [LIST_NAME_CHANGE] [LIST_SHAREHOLDER] [LIST_CAPITAL] [LIST_OFFICER_OWNER] [LIST_SALES_REVENUE_AMOUNT]" + description: Report properties: META_INFO: type: object + example: SERVICE SYSTEM_ID CREATION_DATE USER_ID CLASS + description: Meta Information properties: SERVICE: type: string + description: Report requested + example: SYSTEM_ID : type: string + description: System ID + example: CREATION_DATE: type: string + description: Report request date + example: USER_ID : type: string + description: Valid user id in DDP system CLASS type: type: string + description: Class location for metabean. It is for (For internal use) REGISTRY_DETAIL : type: object + description: Registry Details + example: "RENEWAL_DATE ADDRESS1 ADDRESS2 ADDRESS3 ADDRESS4 COMP_TYPE_CODE REG_DATE REG_ACTIVITY1 REG_ACTIVITY2 ACC_DATE STATUS_EFFECT_DATE NAME_EFFECT_DATE EXPIRY_DATE COMP_TYPE CHANGE_ADDR_DATE COMP_STATUS REG_ACTIVITY_DESC1 REG_ACTIVITY_DESC2 AUDITOR AUDITOR_APPMT_DATE LAST_AR_DATE LAST_AGM_DATE COUNTRY_INCORP" properties: RENEWAL_DATE: type: string + description: Renewal Date ADDRESS1: type: string + description: Address1 ADDRESS2: type: string + description: Address2 ADDRESS3: type: string + description: Address3 ADDRESS4: type: string + description: Address4 COMP_TYPE_CODE: type: string + description: Report Code REG_DATE: type: string + description: Registration Date REG_ACTIVITY1: type: string + description: Registered Activities 1 REG_ACTIVITY2: type: string + description: Registered Activities 2 ACC_DATE: type: string + description: Account Date STATUS_EFFECT_DATE: type: string + description: Status Effective Date NAME_EFFECT_DATE: type: string + description: Name Effective Date EXPIRY_DATE: type: string + description: Expiry Date COMP_TYPE: type: string + description: Company Type CHANGE_ADDR_DATE: type: string + description: Change Address Date COMP_STATUS: type: string + description: Company Status REG_ACTIVITY_DESC1: type: string + description: Registered Activities Description REG_ACTIVITY_DESC2: type: string + description: Registered Activities Description AUDITOR: type: string + description: Auditor Name AUDITOR_APPMT_DATE: type: string + description: Auditor Appointment Date LAST_AR_DATE: type: string + description: Date of Last AR LAST_AGM_DATE: - type: string + type: string + description: Date of Last AGM COUNTRY_INCORP: type: string + description: Country Incorporated REQ_SEARCH_INFO : type: object + example: "COMP_NAME REG_NO REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR" + description: Request criteria & search record properties: COMP_NAME: type: string + description: Company Name REG_NO: type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) REQ_DATE: type: string + description: Report Requested Date REQ_REG_NO: type: string + description: Request Registration Number REQ_NAME: type: string + description: Request Name REQ_DATE_STR: type: string + description: Request Date String EMPLOYEE_SIZE : type: object + description: Employee Size Details + example: ELEMENTS AMOUNT properties: ELEMENTS: type: string + description: Description AMOUNT: type: string + description: Number of employee LIST_BIZ_BRANCH : type: object + description: List of Business Branches + example: "[BIZ_BRANCH]" properties: BIZ_BRANCH : type: object + description: Business Branches + example: ADDR_BUILDING ADDR_POSTCODE ADDR_ADDRESS1 properties: REQADDR_BUILDING: type: string + description: Building Name + example: ADDR_POSTCODE: type: string + description: Postcode + example: ADDR_ADDRESS1: type: string + description: Address + example: LIST_REG_CHARGES: type: array + description: List of Registered Charges + example: "[REG_CHARGES]" items: properties: REG_CHARGES : @@ -207,6 +268,8 @@ components: type: string LIST_LIQUIDATOR: type: array + description: List of Liquidator / Receiver / Judicial Manager + example: "[LIQUIDATOR]" items: properties: LIQUIDATOR : @@ -232,6 +295,8 @@ components: type: string LIST_WINDING_UP : type: array + description: List of Winding Up + example: "[WINDING_UP]" items: properties: WINDING_UP : @@ -275,6 +340,8 @@ components: type: string LIST_LITIGATION : type: array + description: List of Winding Up + example: "[WINDING_UP]" items: properties: LITIGATION : @@ -337,169 +404,52 @@ components: PLA_STATUS: type: string PLA_STATUS_DATE : - type: string - LIST_SHARE_INTEREST_COMP : - type: array - items: - properties: - SHARE_INTEREST_COMP: - type: object - properties: - COMP_NAME: - type: string - SHARE_OWNED_UNIT: - type: string - SHARE_OWNED_PERCENT: - type: string - STATUS: - type: string - LIST_NAME_CHANGE: - type: array - items: - properties: - NAME_CHANGE: - type: object - properties: - PREV_NAME: - type: string - EFFECT_DATE: - type: string - LIST_SHAREHOLDER: - type: array - items: - properties: - SHAREHOLDER: - type: object - properties: - ADDRESS: - type: string - COMP_ID: - type: string - NO_OF_SHARE: - type: string - CURRENCY: - type: string - SHAREHOLDER_TYPE: - type: string - SHARE_TYPE: - type: string - SHAREHOLDER_NAME: - type: string - CHANGE_ADDR_DATE: - type: string - ADDR_TYPE: - type: string - NATIONALITY: - type: string - LIST_CAPITAL: - type: array - items: - properties: - CAPITAL: - type: object - properties: - CAPITAL_CATEGORY: - type: string - CAPITAL_TYPE: - type: string - CURRENCY: type: string - CAPITAL_AMT : - type: string - NO_OF_SHARES : - type: string - LIST_OFFICER_OWNER : - type: array - items: - properties: - OFFICER_OWNER: - type: object - properties: - ADDRESS : - type: string - IDENTITY_ID : - type: string - POSITION : - type: string - ADDR_TYPE: - type: string - CESSATION_DATE : - type: string - OFFICER_NAME : - type: string - CHANGE_ADDR_DATE : - type: string - APPMT_DATE: - type: string - NATIONALITY : - type: string - LIST_SALES_REVENUE_AMOUNT : - type: array - items: - properties: - SALES_REVENUE_AMOUNT: - type: object - properties: - ELEMENTS : - type: string - YEAR : - type: string - CURRENCY : - type: string - AMOUNT: - type: number - CESSATION_DATE : - type: string unauthorized: - type: array - items: - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure forbidden: - type: array - items: - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure paymentrequired: - type: array - items: - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure notfound: - type: array - items: - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure servererror: - type: array - items: - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure gatewaytimeout: type: object properties: @@ -527,9 +477,45 @@ components: status: type: string example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: number + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: "199707714C" + description: |+ + Subjects ID Number (individual) or Registration + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release securitySchemes: APIAuthorizer: type: apiKey name: x-api-key in: header - x-amazon-apigateway-authtype: custom \ No newline at end of file + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 6094deb5ae1c9f9fb7a86d57328511d7fc0cf23a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 25 Sep 2020 18:38:22 +0530 Subject: [PATCH 0035/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 453 ++++++++++++++---- 1 file changed, 353 insertions(+), 100 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index d77c87702..95a2554f0 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: title: Brief Financial Info Dun & Bradstreet (SG) - description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily.

Authentication:

Authentication is done using the x-api-key in the request header. + description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. version: '0.1' servers: - url: 'https://api.sentient.io' @@ -18,11 +18,7 @@ paths: content: application/xml: schema: - type: string - examples: - xml: - summary: A sample XML response - value: '1197803191K' + $ref: '#/components/schemas/REQUEST' responses: '200': description: success response @@ -30,6 +26,8 @@ paths: application/xml: schema: $ref: '#/components/schemas/success' + example: |+ + string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string '401': description: Unauthorized content: @@ -87,448 +85,672 @@ components: properties: REPORT: type: object + description: Report + example: "[META_INFO] [FH_SEARCH_INFO] [FH_DTL] [XBRL_DTL] [FH_RATIO_DTL] [LIST_FH_CHART_INFO]" properties: META_INFO: type: object + description: Information + example: SERVICE SYSTEM_ID CREATION_DATE USER_ID properties: SERVICE: type: string - SYSTEM_ID : + description: Report Requested + SYSTEM_ID : type: string + description: System ID CREATION_DATE: type: string + description: Report Request Date USER_ID : type: string + description: Valid user id in DDP system FH_SEARCH_INFO: type: object + description: FH search information + example: COMP_NAME REG_NO REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR FH_BEFORE_YR1 FH_BEFORE_YR2 FH_BEFORE_YR3 FH_BEFORE_YR4 FH_BEFORE_YR5 FH_AFTER_YR1 FH_AFTER_YR2 FH_AFTER_YR3 FH_AFTER_YR4 FH_AFTER_YR5 AC_RATIOS_YR1 AC_RATIOS_YR2 AC_RATIOS_YR3 AC_RATIOS_YR4 AC_RATIOS_YR5 properties: COMP_NAME : type: string + description: Company Name REG_NO : type: string + description: Company Registration No REQ_DATE : type: string + description: Requested Date REQ_REG_NO : type: string + description: Request Registration Number REQ_NAME : type: string + description: Request Name REQ_DATE_STR : type: string + description: Request Date String FH_BEFORE_YR1 : type: string + description: Financial Highlight filed before year 1 FH_BEFORE_YR2 : type: string + description: Financial Highlight filed before year 2 FH_BEFORE_YR3 : type: string + description: Financial Highlight filed before year 3 FH_AFTER_YR1: - type: string + type: string + description: Financial Highlight filed after year 1 FH_AFTER_YR2 : type: string + description: Financial Highlight filed after year 2 FH_AFTER_YR3 : type: string + description: Financial Highlight filed after year 3 FH_AFTER_YR4: type: string + description: Financial Highlight filed after year 4 FH_AFTER_YR5: - type: string + type: string + description: Financial Highlight filed after year 5 AC_RATIOS_YR1 : type: string + description: Account Ratio year 1 AC_RATIOS_YR2 : type: string + description: Account Ratio year 2 AC_RATIOS_YR3 : type: string + description: Account Ratio year 3 AC_RATIOS_YR4 : type: string + description: Account Ratio year 4 AC_RATIOS_YR5 : - type: string + type: string + description: Account Ratio year 5 FH_DTL: type: object + description: Financial Highlight properties: FH_YR1_CURR : type: string + description: Financial Highlight filed current year 1 FH_YR2_CURR : type: string + description: Financial Highlight filed current year 2 FH_YR3_CURR : type: string + description: Financial Highlight filed current year 3 TURNOVER1 : type: string + description: Turnover 1 TURNOVER2: type: string + description: Turnover 2 TURNOVER3 : - type: string + type: string + description: Turnover 3 PL_BEF_TAX1 : type: string + description: Profit / Loss Before Tax 1 PL_BEF_TAX2 : type: string + description: Profit / Loss Before Tax 2 PL_BEF_TAX3 : type: string + description: Profit / Loss Before Tax 3 PL_AFT_TAX1: - type: string + type: string + description: Profit / Loss After Tax 1 PL_AFT_TAX2 : type: string + description: Profit / Loss After Tax 2 PL_AFT_TAX3 : type: string + description: Profit / Loss After Tax 3 NETINC_NON_EXT1: type: string + description: Net Income / Loss From Extraordinary And Non- Operating Items 1 NETINC_NON_EXT2: - type: string + type: string + description: Net Income / Loss From Extraordinary And Non- Operating Items 2 NETINC_NON_EXT3 : type: string + description: Net Income / Loss From Extraordinary And Non- Operating Items 3 PL_AFT_TAX_EXT1 : type: string + description: Profit / Loss After Tax 1 PL_AFT_TAX_EXT2 : type: string + description: Profit / Loss After Tax 2 PL_AFT_TAX_EXT3 : - type: string + type: string + description: Profit / Loss After Tax 3 TOT_ASSETS1 : - type: string + type: string + description: Total Assets 1 TOT_ASSETS2 : type: string + description: Total Assets 2 TOT_ASSETS3: type: string + description: Total Assets 3 TA_CURRENT1 : - type: string + type: string + description: Total Assets - Current 1 TA_CURRENT2 : type: string + description: Total Assets - Current 2 TA_CURRENT3 : type: string + description: Total Assets - Current 3 TA_FIXED1 : type: string + description: Total Assets – Fixed and Others 1 TA_FIXED2: - type: string + type: string + description: Total Assets – Fixed and Others 1 TA_FIXED3 : type: string + description: Total Assets – Fixed and Others 1 TOT_LIABILITIES1 : type: string + description: Total Liabilities 1 TOT_LIABILITIES2: type: string + description: Total Liabilities 2 TOT_LIABILITIES3: - type: string + type: string + description: Total Liabilities 3 TL_CURRENT1 : type: string + description: Total Liabilities - Current 1 TL_CURRENT2 : type: string + description: Total Liabilities - Current 1 TL_CURRENT3 : type: string + description: Total Liabilities - Current 1 TL_NON_CURRENT1 : type: string + description: Total Liabilities - Current 1 TL_NON_CURRENT2 : - type: string + type: string + description: Total Liabilities - Current 1 TL_NON_CURRENT3 : type: string + description: Total Liabilities - Current 1 SH_FUNDS1: type: string + description: Shareholder’s Fund 1 SH_FUNDS2 : - type: string + type: string + description: Shareholder’s Fund 2 SH_FUNDS3 : type: string + description: Shareholder’s Fund 3 SH_PAIDUP_CAPITAL1 : type: string + description: Shareholder’s Fund – Paid Up Capital 1 SH_PAIDUP_CAPITAL2 : type: string + description: Shareholder’s Fund – Paid Up Capital 2 SH_PAIDUP_CAPITAL3: - type: string + type: string + description: Shareholder’s Fund – Paid Up Capital 3 SH_RESERVES1 : type: string + description: Shareholder’s Fund - Reserves 1 SH_RESERVES2 : type: string + description: Shareholder’s Fund - Reserves 2 SH_RESERVES3: type: string + description: Shareholder’s Fund - Reserves 3 SH_ACCUM_LOSS1: - type: string + type: string + description: Shareholder’s Fund – Accumulated Loss 1 SH_ACCUM_LOSS2 : type: string + description: Shareholder’s Fund – Accumulated Loss 2 SH_ACCUM_LOSS3 : type: string + description: Shareholder’s Fund – Accumulated Loss 3 GRP_TURNOVER1 : type: string + description: Group Turnover / Sales and Other Operating Revenues 1 GRP_TURNOVER2 : - type: string + type: string + description: Group Turnover / Sales and Other Operating Revenues 2 GRP_TURNOVER3 : - type: string + type: string + description: Group Turnover / Sales and Other Operating Revenues 3 GRP_PL_BEF_TAX1 : type: string + description: Group Profit / Loss Before Tax 1 GRP_PL_BEF_TAX2 : type: string + description: Group Profit / Loss Before Tax 2 GRP_PL_BEF_TAX3 : type: string + description: Group Profit / Loss Before Tax 3 GRP_PL_AFT_TAX1 : type: string + description: Group Profit / Loss After Tax 1 GRP_PL_AFT_TAX2: type: string + description: Group Profit / Loss After Tax 2 GRP_PL_AFT_TAX3 : - type: string + type: string + description: Group Profit / Loss After Tax 3 GRP_NETINC_NON_EXT1 : type: string + description: Group Net Income / Loss From Extraordinary and Non-Operating Items 1 GRP_NETINC_NON_EXT2 : type: string + description: Group Net Income / Loss From Extraordinary and Non-Operating Items 2 GRP_NETINC_NON_EXT3 : type: string + description: Group Net Income / Loss From Extraordinary and Non-Operating Items 3 GRP_PL_AFT_TAX_EXT1: - type: string + type: string + description: Group Profit / Loss After Tax and Extraordinary items 1 GRP_PL_AFT_TAX_EXT2 : type: string + description: Group Profit / Loss After Tax and Extraordinary items 2 GRP_PL_AFT_TAX_EXT3 : type: string + description: Group Profit / Loss After Tax and Extraordinary items 3 GRP_TOT_ASSETS1: type: string + description: Group Total Assets 1 GRP_TOT_ASSETS2: - type: string + type: string + description: Group Total Assets 2 GRP_TOT_ASSETS3 : type: string + description: Group Total Assets 3 GRP_TA_CURRENT1 : type: string + description: Group Total Assets – Current 1 GRP_TA_CURRENT2 : type: string + description: Group Total Assets – Current 2 GRP_TA_CURRENT3 : type: string + description: Group Total Assets – Current 3 GRP_TA_FIXED1 : - type: string + type: string + description: Group Total Assets – Fixed and Others 1 GRP_TA_FIXED2 : type: string + description: Group Total Assets – Fixed and Others 2 GRP_TA_FIXED3: type: string + description: Group Total Assets – Fixed and Others 3 GRP_TOT_LIABILITIES1 : - type: string + type: string + description: Group Total Liabilities 1 GRP_TOT_LIABILITIES2 : type: string + description: Group Total Liabilities 2 GRP_TOT_LIABILITIES3 : type: string + description: Group Total Liabilities 3 GRP_TL_CURRENT1 : type: string + description: Group Total Liabilities - Current 1 GRP_TL_CURRENT2: - type: string + type: string + description: Group Total Liabilities - Current 2 GRP_TL_CURRENT3 : type: string + description: Group Total Liabilities - Current 3 GRP_TL_NON_CURRENT1 : type: string + description: Group Total Liabilities – Non-Current & Long Term 1 GRP_TL_NON_CURRENT2: type: string + description: Group Total Liabilities – Non-Current & Long Term 2 GRP_TL_NON_CURRENT3: - type: string + type: string + description: Group Total Liabilities – Non-Current & Long Term 3 GRP_SH_FUNDS1 : type: string + description: Group Shareholder’s Fund 1 GRP_SH_FUNDS2 : type: string + description: Group Shareholder’s Fund 2 GRP_SH_FUNDS3 : type: string + description: Group Shareholder’s Fund 3 GRP_SH_PAIDUP_CAPITAL1 : - type: string + type: string + description: Group Shareholder’s Fund – Paid Up Capital 1 GRP_SH_PAIDUP_CAPITAL2 : - type: string + type: string + description: Group Shareholder’s Fund – Paid Up Capital 2 GRP_SH_PAIDUP_CAPITAL3 : type: string + description: Group Shareholder’s Fund – Paid Up Capital 3 GRP_SH_RESERVES1: type: string + description: Group Shareholder’s Fund - Reserves 1 GRP_SH_RESERVES2 : - type: string + type: string + description: Group Shareholder’s Fund - Reserves 2 GRP_SH_RESERVES3 : type: string + description: Group Shareholder’s Fund - Reserves 3 GRP_SH_ACCUM_LOSS1 : type: string + description: Group Shareholder’s Fund – Accumulated Loss 1 GRP_SH_ACCUM_LOSS2 : type: string + description: Group Shareholder’s Fund – Accumulated Loss 2 GRP_SH_ACCUM_LOSS3: - type: string + type: string + description: Group Shareholder’s Fund – Accumulated Loss 3 GRP_INDICATOR1 : type: string + description: Company Financial Highlights Group Indicator 1 GRP_INDICATOR2 : type: string + description: Company Financial Highlights Group Indicator 2 GRP_INDICATOR3: type: string + description: Company Financial Highlights Group Indicator 3 XBRL_DTL: type: object + description: XBRL filed after 1 Nov 2007. Note:Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. + example: "XBRL_YR1_CURR REVENUE1 PL_BEF_TAX1 PL_AFT_TAX1 TOT_ASSETS1 TA_CURRENT1 TA_NON_CURRENT1 TOT_LIABILITIES1 TL_CURRENT1 TL_NON_CURRENT1 TOT_EQUITY1 EQ_SH_CAPITAL1 EQ_RESERVES1 EQ_RETAINED_EARN1 GRP_REVENUE1 GRP_PL_BEF_TAX1 GRP_PL_AFT_TAX1 GRP_TOT_ASSETS1 GRP_TA_CURRENT1 GRP_TA_NON_CURRENT1 GRP_TOT_LIABILITIES1 GRP_TL_CURRENT1 GRP_TL_NON_CURRENT1 GRP_TOT_EQUITY1 GRP_SH_CAPITAL1 GRP_RESERVES1 GRP_RETAINED_EARN1 GRP_INDICATOR1" properties: XBRL_YR1_CURR : type: string + description: FH After Year 1 Currency XBRL_YR2_CURR : type: string + description: FH After Year 2 Currency REVENUE1 : type: string + description: Revenue Amount 1 REVENUE2 : type: string + description: Revenue Amount 2 PL_BEF_TAX1: type: string + description: Profit / Loss Before Tax from Continuing Operations 1 PL_BEF_TAX2 : - type: string + type: string + description: Profit / Loss Before Tax from Continuing Operations 2 PL_AFT_TAX1 : type: string + description: Profit / Loss After Tax from Continuing Operations 1 PL_AFT_TAX2 : type: string + description: Profit / Loss After Tax from Continuing Operations 2 PL_BEF_TAX3 : type: string + description: Profit / Loss After Tax from Continuing Operations 3 TOT_ASSETS1: - type: string + type: string + description: Total Assets 1 TOT_ASSETS2 : type: string + description: Total Assets 2 TA_CURRENT1 : type: string + description: Total Current Assets (Only for Balance Sheet by Current / Non-Current) 1 TA_CURRENT2: type: string + description: Total Current Assets (Only for Balance Sheet by Current / Non-Current) 2 TA_NON_CURRENT1: - type: string + type: string + description: Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) 1 TA_NON_CURRENT2 : type: string + description: Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) 2 TOT_LIABILITIES1 : type: string + description: Total Liabilities 1 TOT_LIABILITIES2 : type: string + description: Total Liabilities 2 TL_CURRENT1 : type: string + description: Total Current Assets (Only for Balance Sheet by Current / Non-Current) 1 TL_CURRENT2 : - type: string + type: string + description: Total Current Assets (Only for Balance Sheet by Current / Non-Current) 2 TL_NON_CURRENT1 : type: string + description: Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) 1 TL_NON_CURRENT2: type: string + description: Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) 1 TOT_EQUITY1 : - type: string + type: string + description: Total equity 1 TOT_EQUITY2 : type: string + description: Total equity 2 EQ_SH_CAPITAL1 : type: string + description: Equity Shareholders Capital 1 EQ_SH_CAPITAL2 : type: string + description: Equity Shareholders Capital 2 EQ_RESERVES1: - type: string + type: string + description: Equity Reserves 1 EQ_RESERVES2 : type: string + description: Equity Reserves 2 EQ_RETAINED_EARN1 : type: string + description: Equity Retained 1 EQ_RETAINED_EARN2: type: string + description: Equity Retained 2 GRP_REVENUE1: - type: string + type: string + description: GRP REVENUE 1 GRP_REVENUE2 : type: string + description: GRP REVENUE 1 GRP_PL_BEF_TAX1 : type: string + description: Group Profit / Loss Before Tax 1 GRP_PL_BEF_TAX2 : type: string + description: Group Profit / Loss Before Tax 2 GRP_PL_AFT_TAX1 : type: string + description: Group Profit / Loss After Tax 1 GRP_PL_AFT_TAX2 : - type: string + type: string + description: Group Profit / Loss After Tax 2 GRP_TOT_ASSETS1 : type: string + description: Group Total Assets 1 GRP_TOT_ASSETS2: type: string + description: Group Total Assets 2 GRP_TA_CURRENT1 : - type: string + type: string + description: Group Total Assets – Current 1 GRP_TA_CURRENT2 : type: string + description: Group Total Assets – Current 2 GRP_TA_NON_CURRENT1 : type: string + description: Group Total Non Assets – Current 1 GRP_TA_NON_CURRENT2 : type: string + description: Group Total Non Assets – Current 2 GRP_TOT_LIABILITIES1: - type: string + type: string + description: Group Total Liabilities 1 GRP_TOT_LIABILITIES2 : type: string + description: Group Total Liabilities 2 GRP_TL_CURRENT1 : type: string + description: Group Total Liabilities - Current 1 GRP_TL_CURRENT2: type: string + description: Group Total Liabilities - Current 2 GRP_TL_NON_CURRENT1: - type: string + type: string + description: Group Total Non Liabilities - Current 1 GRP_TL_NON_CURRENT2 : type: string + description: Group Total Non Liabilities - Current 2 GRP_TOT_EQUITY1 : type: string + description: Group Total Equity 1 GRP_TOT_EQUITY2 : type: string + description: Group Total Equity 2 GRP_SH_CAPITAL1 : type: string + description: Group Shareholders capital 1 GRP_SH_CAPITAL2 : - type: string + type: string + description: Group Shareholders capital 2 GRP_RESERVES1 : type: string + description: Group Reserves 1 GRP_RESERVES2 : type: string + description: Group Reserves 2 GRP_RETAINED_EARN1 : type: string + description: Group Rettained Earnings 1 GRP_RETAINED_EARN2 : type: string + description: Group Rettained Earnings 2 GRP_INDICATOR1: type: string + description: Group Indicator 1 GRP_INDICATOR2 : - type: string + type: string + description: Group Indicator 2 GRP_INDICATOR3 : type: string + description: Group Indicator 3 FH_RATIOS_DTL: type: object + description: Financial Ratio History properties: RATE_NET_PROFIT1 : type: string + description: Rate of Net Profit On Sales (%) 1 RATE_NET_PROFIT2 : type: string + description: Rate of Net Profit On Sales (%) 2 RATE_NET_PROFIT3 : type: string + description: Rate of Net Profit On Sales (%) 3 RATE_NET_PROFIT4 : type: string + description: Rate of Net Profit On Sales (%) 4 RATE_NET_PROFIT5: type: string + description: Rate of Net Profit On Sales (%) 5 RET_INVESTMENT1 : - type: string + type: string + description: Return of Investment (%) 1 RET_INVESTMENT2 : type: string + description: Return of Investment (%) 2 RET_INVESTMENT3 : type: string + description: Return of Investment (%) 3 RET_INVESTMENT4 : type: string + description: Return of Investment (%) 4 RET_INVESTMENT5: - type: string + type: string + description: Return of Investment (%) 5 RET_SH_FUNDS1 : type: string + description: Return of Shareholder’s Funds (%) 1 RET_SH_FUNDS2 : type: string + description: Return of Shareholder’s Funds (%) 2 RET_SH_FUNDS3: type: string + description: Return of Shareholder’s Funds (%) 3 RET_SH_FUNDS4: - type: string + type: string + description: Return of Shareholder’s Funds (%) 4 RET_SH_FUNDS5 : type: string + description: Return of Shareholder’s Funds (%) 5 TOT_ASSETS_TURNOVER1 : type: string + description: Total Assets Turnover (%) 1 TOT_ASSETS_TURNOVER2 : type: string + description: Total Assets Turnover (%) 2 TOT_ASSETS_TURNOVER3 : type: string + description: Total Assets Turnover (%) 3 TOT_ASSETS_TURNOVER4 : type: string + description: Total Assets Turnover (%) 4 TOT_ASSETS_TURNOVER5 : type: string + description: Total Assets Turnover (%) 5 CURR_CAPITAL_RATIO1: type: string + description: Current / Working Capital Ratio (%) 1 CURR_CAPITAL_RATIO2 : - type: string + type: string + description: Current / Working Capital Ratio (%) 2 CURR_CAPITAL_RATIO3 : type: string + description: Current / Working Capital Ratio (%) 3 CURR_CAPITAL_RATIO4 : type: string + description: Current / Working Capital Ratio (%) 4 CURR_CAPITAL_RATIO5 : type: string + description: Current / Working Capital Ratio (%) 5 PROPRIETARY_RATIO1: - type: string + type: string + description: Proprietary Ratio (%) 1 PROPRIETARY_RATIO2 : type: string + description: Proprietary Ratio (%) 2 PROPRIETARY_RATIO3 : type: string + description: Proprietary Ratio (%) 3 PROPRIETARY_RATIO4: type: string + description: Proprietary Ratio (%) 4 PROPRIETARY_RATIO5: - type: string + type: string + description: Proprietary Ratio (%) 5 TOTAL_DEBT_RATIO1 : type: string + description: Total Debt to Equity Ratio (%) 1 TOTAL_DEBT_RATIO2 : type: string + description: Total Debt to Equity Ratio (%) 2 TOTAL_DEBT_RATIO3 : type: string + description: Total Debt to Equity Ratio (%) 3 TOTAL_DEBT_RATIO4 : type: string + description: Total Debt to Equity Ratio (%) 4 TOTAL_DEBT_RATIO5 : type: string + description: Total Debt to Equity Ratio (%) 5 LIST_FH_CHART_INFO : type: array + example: "[FH_CHART_INFO]" + description: List of financial chart information items: properties: FH_CHART_INFO: @@ -541,55 +763,50 @@ components: YEAR: type: string unauthorized: - type: array - items: - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure forbidden: - type: array - items: - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure paymentrequired: - type: array - items: - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure notfound: - type: array - items: - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure servererror: - type: array - items: - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure gatewaytimeout: type: object properties: @@ -617,9 +834,45 @@ components: status: type: string example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: number + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: "199707714C" + description: |+ + Subjects ID Number (individual) or Registration + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release securitySchemes: APIAuthorizer: type: apiKey name: x-api-key in: header - x-amazon-apigateway-authtype: custom \ No newline at end of file + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 22b1cf4ee6dac1cf322dd10d91d2f6bf923df5a0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 14:51:48 +0530 Subject: [PATCH 0036/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 39 +++++++++++++++++-- 1 file changed, 36 insertions(+), 3 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 328210687..848fb0fc5 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -100,21 +100,23 @@ components: SERVICE: type: string description: Report requested - example: + example: "" SYSTEM_ID : type: string description: System ID - example: + example: "" CREATION_DATE: type: string description: Report request date - example: + example: "" USER_ID : type: string description: Valid user id in DDP system + example: "" CLASS type: type: string description: Class location for metabean. It is for (For internal use) + example: "" REGISTRY_DETAIL : type: object description: Registry Details @@ -123,72 +125,95 @@ components: RENEWAL_DATE: type: string description: Renewal Date + example: "" ADDRESS1: type: string description: Address1 + example: "" ADDRESS2: type: string description: Address2 + example: "" ADDRESS3: type: string description: Address3 + example: "" ADDRESS4: type: string description: Address4 + example: "" COMP_TYPE_CODE: type: string description: Report Code + example: "" REG_DATE: type: string description: Registration Date + example: "" REG_ACTIVITY1: type: string description: Registered Activities 1 + example: "" REG_ACTIVITY2: type: string description: Registered Activities 2 + example: "" ACC_DATE: type: string description: Account Date + example: "" STATUS_EFFECT_DATE: type: string description: Status Effective Date + example: "" NAME_EFFECT_DATE: type: string description: Name Effective Date + example: "" EXPIRY_DATE: type: string description: Expiry Date + example: "" COMP_TYPE: type: string description: Company Type + example: "" CHANGE_ADDR_DATE: type: string description: Change Address Date + example: "" COMP_STATUS: type: string description: Company Status + example: "" REG_ACTIVITY_DESC1: type: string description: Registered Activities Description + example: "" REG_ACTIVITY_DESC2: type: string description: Registered Activities Description + example: "" AUDITOR: type: string description: Auditor Name + example: "" AUDITOR_APPMT_DATE: type: string description: Auditor Appointment Date + example: "" LAST_AR_DATE: type: string description: Date of Last AR + example: "" LAST_AGM_DATE: type: string description: Date of Last AGM + example: "" COUNTRY_INCORP: type: string description: Country Incorporated + example: "" REQ_SEARCH_INFO : type: object example: "COMP_NAME REG_NO REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR" @@ -197,21 +222,27 @@ components: COMP_NAME: type: string description: Company Name + example: "" REG_NO: type: string description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "" REQ_DATE: type: string description: Report Requested Date + example: "" REQ_REG_NO: type: string description: Request Registration Number + example: "" REQ_NAME: type: string description: Request Name + example: "" REQ_DATE_STR: type: string description: Request Date String + example: "" EMPLOYEE_SIZE : type: object description: Employee Size Details @@ -220,9 +251,11 @@ components: ELEMENTS: type: string description: Description + example: "" AMOUNT: type: string description: Number of employee + example: "300" LIST_BIZ_BRANCH : type: object description: List of Business Branches From d5c8e76156f5af9951afb7ab3e09b368ed084116 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 14:58:42 +0530 Subject: [PATCH 0037/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 41 ++++++++++++++++--- 1 file changed, 36 insertions(+), 5 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 848fb0fc5..41655ded5 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -379,65 +379,96 @@ components: properties: LITIGATION : type: object + description: List of Winding Up + example: List properties: SUBJECT_NAME : type: string + example: "" NATURE_OF_CLAIM : type: string + example: "" STATUS_DATE : type: string + example: "" CASE_NO : type: string + example: "" DOC_REMARKS : type: string + example: "" CURRENCY1 : - type: string + type: string + example: "" CURRENCY2 : type: string + example: "" CURRENCY3 : type: string + example: "" CURRENCY4 : type: string + example: "" CURRENCY5 : type: string + example: "" DEF_SOLICITOR : type: string + example: "" DEF_SOLICITOR_ID : type: string + example: "" DEF_LAW_FIRM : type: string + example: "" DEF_FILE_REF : type: string + example: "" DATE_OF_WRIT : - type: string + type: string + example: "" STATUS : type: string + example: "" AMOUNT1 : type: string + example: "" AMOUNT2 : - type: string + type: string + example: "" AMOUNT3 : type: string + example: "" AMOUNT4 : - type: string + type: string + example: "" AMOUNT5 : type: string + example: "" PLAINTIFF : type: string + example: "" PLA_SOLICITOR: type: string + example: "" PLA_SOLICITOR_ID: type: string + example: "" PLA_LAW_FIRM : type: string + example: "" PLA_FILE_REF : - type: string + type: string + example: "" PLA_ID: type: string + example: "" PLA_STATUS: type: string + example: "" PLA_STATUS_DATE : type: string + example: "" unauthorized: type: object properties: From 9a58339f388cb847e24bff375c3bf42709c2d504 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:04:20 +0530 Subject: [PATCH 0038/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 31 ++++++++++++++++++- 1 file changed, 30 insertions(+), 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 41655ded5..7985d932b 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -380,95 +380,124 @@ components: LITIGATION : type: object description: List of Winding Up - example: List + example: "SUBJECT_NAME NATURE_OF_CLAIM STATUS_DATE CASE_NO DOC_REMARKS CURRENCY1 CURRENCY2 CURRENCY3 CURRENCY4 CURRENCY5 DEF_SOLICITOR DEF_SOLICITOR_ID DEF_LAW_FIRM DEF_FILE_REF DATE_OF_WRIT STATUS AMOUNT1 AMOUNT2 AMOUNT3 AMOUNT4 AMOUNT5 PLAINTIFF PLA_SOLICITOR PLA_SOLICITOR_ID PLA_LAW_FIRM PLA_FILE_REF PLA_ID PLA_STATUS PLA_STATUS_DATE" properties: SUBJECT_NAME : type: string + description: Subject Name example: "" NATURE_OF_CLAIM : type: string example: "" + description: Nature of Claim STATUS_DATE : type: string example: "" + description: Status Date CASE_NO : type: string example: "" + description: Case No DOC_REMARKS : type: string example: "" + description: Document Remark CURRENCY1 : type: string example: "" + description: Currency 1 CURRENCY2 : type: string example: "" + description: Currency 2 CURRENCY3 : type: string example: "" + description: Currency 3 CURRENCY4 : type: string example: "" + description: Currency 4 CURRENCY5 : type: string example: "" + description: Currency 5 DEF_SOLICITOR : type: string example: "" + description: Def. Solicitor DEF_SOLICITOR_ID : type: string example: "" + description: Def. Solicitor ID DEF_LAW_FIRM : type: string example: "" + description: Def. Law Firm DEF_FILE_REF : type: string example: "" + description: Def. File Ref. DATE_OF_WRIT : type: string example: "" + description: Date Writ STATUS : type: string example: "" + description: Status AMOUNT1 : type: string example: "" + description: Amount 1 AMOUNT2 : type: string example: "" + description: Amount 2 AMOUNT3 : type: string example: "" + description: Amount 3 AMOUNT4 : type: string example: "" + description: Amount 4 AMOUNT5 : type: string example: "" + description: Amount 5 PLAINTIFF : type: string example: "" + description: Plaintiff Name PLA_SOLICITOR: type: string example: "" + description: plantiff Solicitor PLA_SOLICITOR_ID: type: string example: "" + description: plantiff Solicitor ID PLA_LAW_FIRM : type: string example: "" + description: Pla. Law Firm PLA_FILE_REF : type: string example: "" + description: Pla. File Ref. PLA_ID: type: string example: "" + description: Plaintiff ID PLA_STATUS: type: string example: "" + description: Plaintiff Status PLA_STATUS_DATE : type: string example: "" + description: Plaintiff Status Date unauthorized: type: object properties: From 838a216a453816bec3932e48c31a13f5d9371606 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:05:35 +0530 Subject: [PATCH 0039/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 7985d932b..e7bd72f93 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -587,8 +587,7 @@ components: SUBJECT_IDNO: type: string example: "199707714C" - description: |+ - Subjects ID Number (individual) or Registration + description: Subjects ID Number (individual) or Registration default: true SUBJECT_NAME: type: string From 38a61fe499561b650dcd876c45ebf4b5834463f5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:07:34 +0530 Subject: [PATCH 0040/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- .../BasicIndividualSearchDun&Bradstreet(SG).yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 22675ab1b..bb3d8fb3e 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -96,19 +96,19 @@ components: properties: SERVICE: type: string - example: + example: "" description: Report Requested SYSTEM_ID : type: string - example: + example: "" description: System ID CREATION_DATE: type: string - example: + example: "25/02/2009 17:31:44.678" description: Report Request Date USER_ID : type: string - example: + example: "" description: Valid user id in DDP system BASIC_INFO : type: object @@ -118,19 +118,19 @@ components: PA_REG_NO : type: string description: Public Accountant Registration No. - example: + example: "" ADDRESS1: type: string description: Address 1 - example: + example: "" ADDRESS2: type: string description: Address 2 - example: + example: "" ADDRESS3: type: string description: Address 3 - example: + example: "" LIT_SEARCH_INFO : type: object example: "COMP_NAME REG_NO REPORT_TYPE REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR" From f060ef0f737bdfc0f5bfa5e0ab93796c74ea25e0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:11:54 +0530 Subject: [PATCH 0041/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 42 +++++++++---------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index bb3d8fb3e..90e776616 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -139,31 +139,31 @@ components: COMP_NAME: type: string description: Company Name - example: + example: "" REG_NO: type: string description: Company Registration No - example: + example: "" REPORT_TYPE: type: string description: Report Type - example: + example: "" REQ_DATE: type: string description: Requested Date - example: + example: "25/02/2009 17:31:44" REQ_REG_NO: type: string description: Request Registration Number - example: + example: "" REQ_NAME: type: string description: Request Name - example: + example: "" REQ_DATE_STR: type: string description: Request Date String - example: + example: "" LIST_CURRENT_COMP : type: object description: List of current companies @@ -177,59 +177,59 @@ components: POSITION: type: string description: Position - example: + example: "" APPOINTMENT_DATE: type: string description: Appointment Date - example: + example: "" COMP_NAME: type: string description: Company Name - example: + example: "" SEQ_NO: type: string description: Company Registration No. - example: + example: "" SHARE_VALUE1: type: string description: Share Percentage - example: + example: "" COMP_STATUS: type: string description: Company Status - example: + example: "" PROFIT_VALUE1: type: string description: Profit Making 1 - example: + example: "" PROFIT_VALUE2: type: string description: Profit Making 2 - example: + example: "" PROFIT_VALUE3: type: string description: Profit Making 3 - example: + example: "" SHARE_VALUE: type: string description: Number Of Shares - example: + example: "" TEL: type: string description: Telephone Number - example: + example: "" FAX: type: string description: Fax Number - example: + example: "" SIC: type: string description: SIC Code - example: + example: "" SIC_DESC: type: string description: SIC Description - example: + example: "" LIST_PREVIOUS_COMP: type: array example: "[PREVIOUS_COMP]" From d3a1211a73d04374960fa75be4971686136bc7cd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:15:43 +0530 Subject: [PATCH 0042/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 28 +++++++++---------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 90e776616..8d0d76220 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -423,59 +423,59 @@ components: Rcjan: type: number description: Count for January - example: + example: "1" Rcfeb: type: number description: Count for February - example: + example: "1" Rcmar: type: number description: Count for March - example: + example: "1" Rcapr: type: number description: Count for April - example: + example: "1" Rcmay: type: number description: Count for May - example: + example: "1" Rcjun: type: number description: Count for June - example: + example: "1" Rcjul: type: number description: Count for July - example: + example: "1" Rcaug: type: number description: Count for August - example: + example: "1" Rcsep: type: number description: Count for September - example: + example: "1" Rcoct: type: number description: Count for October - example: + example: "1" Rcnov: type: number description: Count for November - example: + example: "1" Rcdec: type: number description: Count for December - example: + example: "1" Rcyear: type: number description: To show the year - example: + example: "1" Rcsecflag: type: number description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors - example: + example: "1" unauthorized: type: object properties: From 90691ae74d926996b6167eb094a38632d39f706a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:21:24 +0530 Subject: [PATCH 0043/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 95a2554f0..d15cde3d2 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -96,15 +96,19 @@ components: SERVICE: type: string description: Report Requested + example: "" SYSTEM_ID : type: string description: System ID + example: "" CREATION_DATE: type: string description: Report Request Date + example: "25/02/2009 17:31:44" USER_ID : type: string description: Valid user id in DDP system + example: "" FH_SEARCH_INFO: type: object description: FH search information @@ -113,60 +117,79 @@ components: COMP_NAME : type: string description: Company Name + example: "" REG_NO : type: string description: Company Registration No + example: "" REQ_DATE : type: string description: Requested Date + example: "2009-04-21 10:56:06.716" REQ_REG_NO : type: string description: Request Registration Number + example: "" REQ_NAME : type: string description: Request Name + example: "" REQ_DATE_STR : type: string description: Request Date String + example: "" FH_BEFORE_YR1 : type: string description: Financial Highlight filed before year 1 + example: "2004" FH_BEFORE_YR2 : type: string description: Financial Highlight filed before year 2 + example: "2003" FH_BEFORE_YR3 : type: string description: Financial Highlight filed before year 3 + example: "2002" FH_AFTER_YR1: type: string description: Financial Highlight filed after year 1 + example: "2005" FH_AFTER_YR2 : type: string description: Financial Highlight filed after year 2 + example: "2006" FH_AFTER_YR3 : type: string description: Financial Highlight filed after year 3 + example: "2007" FH_AFTER_YR4: type: string description: Financial Highlight filed after year 4 + example: "2008" FH_AFTER_YR5: type: string description: Financial Highlight filed after year 5 + example: "2009" AC_RATIOS_YR1 : type: string description: Account Ratio year 1 + example: "2008" AC_RATIOS_YR2 : type: string description: Account Ratio year 2 + example: "2007" AC_RATIOS_YR3 : type: string description: Account Ratio year 3 + example: "2006" AC_RATIOS_YR4 : type: string description: Account Ratio year 4 + example: "2005" AC_RATIOS_YR5 : type: string description: Account Ratio year 5 + example: "2004" FH_DTL: type: object description: Financial Highlight From e113666cb27774464d78277b8a38a8571cfe8399 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:24:36 +0530 Subject: [PATCH 0044/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index d15cde3d2..76ede3e56 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -781,10 +781,16 @@ components: properties: PROFIT_LOSS: type: string + example: "1121483.0" + description: Profit / Loss Before Tax of the year REVENUE: type: string + example: "10877254" + description: Revenue Amount of the year YEAR: type: string + example: "2008" + description: Financial Year unauthorized: type: object properties: From 802be222f8db8b757cb9a0962652e710dff67d2b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:30:47 +0530 Subject: [PATCH 0045/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 72 +++++++++++------------ 1 file changed, 36 insertions(+), 36 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 94310f21c..5d87ede3a 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -100,24 +100,24 @@ components: properties: SERVICE: type: string - example: 10 BCP + example: "" description: Report requested SYSTEM_ID : type: string - example: DDP + example: "" description: System ID CREATION_DATE: type: string description: Report request date - example: Date & time + example: "" USER_ID : type: string description: Valid user id in DDP system - example: Valid User ID + example: "" CLASS : type: string description: Class location for metabean. - example: N/A + example: "" REQ_SEARCH_INFO : type: object description: Request criteria & search record @@ -126,27 +126,27 @@ components: COMP_NAME : type: string description: Company Name - example: + example: "" REG_NO : type: string description: Subject’s ID Number (individual) or Registration Number (company/business) - example: + example: "" REQ_DATE : type: string description: Report Requested Date - example: + example: "" REQ_REG_NO : type: string description: Request Registration Number - example: + example: "" REQ_NAME : type: string description: Request Name - example: + example: "" REQ_DATE_STR : type: string description: Request Date String - example: + example: "" REGISTRY_DETAIL : type: object example: "RENEWAL_DATE ADDRESS1 ADDRESS2 ADDRESS3 ADDRESS4 COMP_TYPE_CODE REG_DATE REG_ACTIVITY1 REG_ACTIVITY2 ACC_DATE STATUS_EFFECT_DATE NAME_EFFECT_DATE EXPIRY_DATE COMP_TYPE CHANGE_ADDR_DATE COMP_STATUS REG_ACTIVITY_DESC1 REG_ACTIVITY_DESC2 AUDITOR AUDITOR_APPMT_DATE LAST_AR_DATE LAST_AGM_DATE COUNTRY_INCORP" @@ -158,95 +158,95 @@ components: description: Company Name RENEWAL_DATE: type: string - example: DD/MM/YYYY + example: "" description: Renewal Date ADDRESS1 : type: string - example: + example: "" description: Address1 ADDRESS2 : type: string - example: + example: "" description: Address2 ADDRESS3 : type: string - example: + example: "" description: Address3 ADDRESS4: type: string - example: + example: "" description: Address4 COMP_TYPE_CODE: type: string - example: + example: "" description: Report Code REG_DATE : type: string - example: + example: "" description: Registration Date REG_ACTIVITY1: type: string - example: + example: "" description: Registered Activities 1 REG_ACTIVITY2: type: string - example: + example: "" description: Registered Activities 2 ACC_DATE : type: string - example: + example: "" description: Account Date STATUS_EFFECT_DATE: type: string - example: + example: "" description: Status Effective Date NAME_EFFECT_DATE: type: string - example: + example: "" description: Name Effective Date EXPIRY_DATE : type: string - example: + example: "" description: Expiry Date COMP_TYPE : type: string - example: + example: "" description: Company Type CHANGE_ADDR_DATE : type: string - example: + example: "" description: Change Address Date COMP_STATUS : type: string - example: + example: "" description: Company Status REG_ACTIVITY_DESC1 : type: string - example: + example: "" description: Registered Activities Description REG_ACTIVITY_DESC2 : type: string - example: + example: "" description: Registered Activities Description AUDITOR : type: string - example: + example: "" description: Auditor Name AUDITOR_APPMT_DATE : type: string - example: + example: "" description: Auditor Appointment Date LAST_AR_DATE : type: string - example: + example: "" description: Date of Last AR LAST_AGM_DATE : type: string - example: + example: "" description: Date of Last AGM COUNTRY_INCORP: type: string - example: + example: "" description: Country Incorporated EMPLOYEE_SIZE : type: object @@ -255,11 +255,11 @@ components: properties: ELEMENTS: type: string - example: + example: "" description: Elements Description AMOUNT: type: string - example: + example: 300 description: Number of employee LIST_BIZ_BRANCH : type: array From cc8670073a527fc1b8c8662aaff0c33a2bb17e63 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:32:49 +0530 Subject: [PATCH 0046/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 5d87ede3a..36fbe112c 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -485,18 +485,22 @@ components: LIST_NAME_CHANGE: type: array description: List of name change + example: "[NAME_CHANGE]" items: properties: NAME_CHANGE: type: object description: List of name change + example: "PREV_NAME EFFECT_DATE" properties: PREV_NAME: type: string description: Previous name + example: "" EFFECT_DATE: type: string description: Effect Date + example: "" unauthorized: type: object properties: From 5c31d39223b20e8ccc35af4b7f427cd29b8e19a5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Sat, 26 Sep 2020 15:35:26 +0530 Subject: [PATCH 0047/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 36fbe112c..9fc4db5c2 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -395,7 +395,7 @@ components: example: LIST_SHAREHOLDER: type: array - example: + example: "[SHAREHOLDER]" description: List of Shareholders items: properties: @@ -425,6 +425,7 @@ components: LIST_SHARE_INTEREST_COMP : type: array description: List of share interest company + example: "[SHARE_INTEREST_COMP]" items: properties: SHARE_INTEREST_COMP: @@ -441,6 +442,7 @@ components: LIST_OFFICER_OWNER : type: array description: List of office owner + example: "[OFFICER_OWNER]" items: properties: OFFICER_OWNER: @@ -467,6 +469,7 @@ components: LIST_CAPITAL: type: array description: List of capital + example: "[CAPITAL]" items: properties: CAPITAL: From 6a4db09eb9eff3c42af346e0c9e247e86f86274b Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 28 Sep 2020 13:22:51 +0800 Subject: [PATCH 0048/5916] added spacy ner yaml --- yaml/spacy_named-entity_recognition_eng.yaml | 297 +++++++++++++++++++ 1 file changed, 297 insertions(+) create mode 100644 yaml/spacy_named-entity_recognition_eng.yaml diff --git a/yaml/spacy_named-entity_recognition_eng.yaml b/yaml/spacy_named-entity_recognition_eng.yaml new file mode 100644 index 000000000..9f97de1d3 --- /dev/null +++ b/yaml/spacy_named-entity_recognition_eng.yaml @@ -0,0 +1,297 @@ +openapi: 3.0.1 +info: + title: Named-Entity Recognition ENG using SPACY + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured English text. + + The named-entity classes extracted are PERSON,NORP,FAC,ORG,GPE,LOC,PRODUCT,EVENT,WORK_OF_ART,LAW,LANGUAGE,DATE,TIME,PERCENT,MONEY,QUANTITY,ORDINAL,CARDINAL + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '0.1' +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1" + description: "Published Date - Sept 28, 2020" +paths: + /microservices/nlp/spacyner/v0.1/getpredictions: + post: + tags: + - v0.1 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message": "Successfully Processed","results": {"fac": ["Changi Airport","the first Airport"],"gpe": ["Changi","Singapore"],"loc": ["Marina Bay","Asia"],"org": ["WSSS","BOC Aviation","Jetstar Asia Airways","Changi Airport Group","FAA","Skytrax","ICAO","the World's Best Airport"],"quantity": ["5.0 sq mi","approximately 20 km"]},"status": "Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + person: + x-name: person + type: array + example: [DONALD TRUMP,Mike Pompeo] + description: People, including fictional. + norp: + x-name: norp + type: array + example: [Chinese,Singaporean,Malay] + description: Nationalities or religious or political groups. + fac: + x-name: fac + type: array + example: [Changi Airport, the first Airport] + description: Buildings, airports, highways, bridges, etc. + org: + x-name: org + type: array + example: [WSSS,BOC Aviation] + description: Companies, agencies, institutions, etc. + gpe: + x-name: gpe + type: array + example: [Changi,Singapore] + description: Countries, cities, states. + loc: + x-name: loc + type: array + example: [Marina Bay, Asia] + description: Non-GPE locations, mountain ranges, bodies of water. + product: + x-name: product + type: array + example: [Formula 1,Motorrad] + description: Objects, vehicles, foods, etc. (Not services.) + event: + x-name: event + type: array + example: [the Second World War] + description: Named hurricanes, battles, wars, sports events, etc. + work_of_art: + x-name: work_of_art + type: array + example: [Wizardry] + description: Titles of books, songs, etc. + law: + x-name: law + type: array + example: [the Penal Code,the Internal Security Act,the Constitution of the Republic of Singapore",the Evidence Act,the Societies Act] + description: Named documents made into laws. + language: + x-name: language + type: array + example: [English] + description: Any named language. + date: + x-name: date + type: array + example: [Tuesday] + description: Absolute or relative dates or periods. + time: + x-name: time + type: array + example: [twenty-four hours] + description: Times smaller than a day. + percent: + x-name: percent + type: array + example: [91%,25%,61%] + description: Percentage, including ”%“. + money: + x-name: money + type: array + example: [up to $1000] + description: Monetary values, including unit. + quantity: + x-name: quantity + type: array + example: [about one degree,85 miles,137 kilometres] + description: Measurements, as of weight or distance. + ordinal: + x-name: ordinal + type: array + example: [ninth,seventh,second] + description: “first”, “second”, etc. + cardinal: + x-name: cardinal + type: array + example: [four] + description: Numerals that do not fall under another type. + message: + x-name: message + type: string + example: Successfully Processed + description: Detail description on the API status + + status: + x-name: status + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sept 28,2020 + description: Initial version release + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From e54740bd77fdb8f611e1f66fabbcf915dc4de916 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 11:37:08 +0530 Subject: [PATCH 0049/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index e7bd72f93..c6f340f6d 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -580,7 +580,7 @@ components: default: false ENQUIRY: type: object - example: + example: SUBJECT_IDNO, SUBJECT_NAME description: Contains information of each request details default: true properties: From 4afa7d4ad3415278afe5102202d589ec10c615df Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 11:37:55 +0530 Subject: [PATCH 0050/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index c6f340f6d..8c38dcf19 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -587,7 +587,7 @@ components: SUBJECT_IDNO: type: string example: "199707714C" - description: Subjects ID Number (individual) or Registration + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" default: true SUBJECT_NAME: type: string From b612e2a59d9b017ed80df121a77d03eca41d5246 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 16:20:42 +1000 Subject: [PATCH 0051/5916] Update examples --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 21 ++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 8c38dcf19..7967507f9 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -89,12 +89,19 @@ components: properties: REPORT: type: object - example: "[META_INFO] [REGISTRY_DETAIL] [REQ_SEARCH_INFO] [EMPLOYEE_SIZE] [LIST_BIZ_BRANCH] [LIST_REG_CHARGES] [LIST_LIQUIDATOR] [LIST_WINDING_UP] [LIST_LITIGATION] [LIST_SHARE_INTEREST_COMP] [LIST_NAME_CHANGE] [LIST_SHAREHOLDER] [LIST_CAPITAL] [LIST_OFFICER_OWNER] [LIST_SALES_REVENUE_AMOUNT]" - description: Report + example: "" + description: |+ + Report Details with following childer: + [META_INFO] [REGISTRY_DETAIL] [REQ_SEARCH_INFO] [EMPLOYEE_SIZE] [LIST_BIZ_BRANCH] [LIST_REG_CHARGES] [LIST_LIQUIDATOR] [LIST_WINDING_UP] [LIST_LITIGATION] [LIST_SHARE_INTEREST_COMP] [LIST_NAME_CHANGE] [LIST_SHAREHOLDER] [LIST_CAPITAL] [LIST_OFFICER_OWNER] [LIST_SALES_REVENUE_AMOUNT] properties: META_INFO: type: object - example: SERVICE SYSTEM_ID CREATION_DATE USER_ID CLASS + example: |+ + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS description: Meta Information properties: SERVICE: @@ -113,7 +120,7 @@ components: type: string description: Valid user id in DDP system example: "" - CLASS type: + CLASS: type: string description: Class location for metabean. It is for (For internal use) example: "" @@ -580,7 +587,11 @@ components: default: false ENQUIRY: type: object - example: SUBJECT_IDNO, SUBJECT_NAME + example: |+ + + 197601887E + TRANSTAR TRAVEL PTE LTD + description: Contains information of each request details default: true properties: From 6b703155e66982f7e24cad4c3f355448f17156df Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 12:07:56 +0530 Subject: [PATCH 0052/5916] Update index.yaml --- yaml/index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/yaml/index.yaml b/yaml/index.yaml index 4d03a5b16..57698b9d6 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -40,6 +40,10 @@ NLP: title: Named-Entity Recognition ENG versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" + Named-Entity Recognition ENG using SPACY: + title: Named-Entity Recognition ENG using SPACY + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/spacy_named-entity_recognition_eng.yaml" Page Profiler ENG: title: Page Profiler ENG versions: From 86f073c1e9b509948e95fbc44406fc58695b64fb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 12:09:38 +0530 Subject: [PATCH 0053/5916] Update index.yaml --- yaml/index.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/yaml/index.yaml b/yaml/index.yaml index 57698b9d6..949bd3413 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -48,6 +48,7 @@ NLP: title: Page Profiler ENG versions: v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" + v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" Taxonomy Matcher ENG: title: Taxonomy Matcher ENG versions: From 7cad1f33a6705fe13f7494b2109ba4507272731c Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 16:45:26 +1000 Subject: [PATCH 0054/5916] update examples --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 284 ++++++++++++++++-- 1 file changed, 254 insertions(+), 30 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 7967507f9..4aede11df 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -27,11 +27,207 @@ paths: schema: $ref: '#/components/schemas/success' example: |+ - string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string
string
- - string string string string string string string string string string string string string string
string
- - string string string string string string string string string string string 0 string + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +300 + + + + + + + + + + + + + + + + + Scope of Work & FRS 16 Private & Confidential + +D&B - B2B Enquiry Technical Doc V2.28 + + + + + + +ABUTHAHIR ABDUL GAFOOR S1676216D +Liquidator +EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 +OUB CENTRE SINGAPORE 048616 30/03/2009 + +ANGELA ANG +S1633336D +Liquidator +KING FINANCIAL ADVISORY SERVICES LEVEL 17 MLC CENTRE 19029 MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA 18/02/2009 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Scope of Work & FRS 17 Private & Confidential + +D&B - B2B Enquiry Technical Doc V2.28 + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + + + + + + + + + + + + + + + Scope of Work & FRS 18 Private & Confidential + +D&B - B2B Enquiry Technical Doc V2.28 + + + + + + +
+ + + + + + +
+ + + + + + + + + 30000.00 + + 28000.00 + + 27,000.00 + + '401': description: Unauthorized content: @@ -91,12 +287,13 @@ components: type: object example: "" description: |+ - Report Details with following childer: + Report Details with following children: [META_INFO] [REGISTRY_DETAIL] [REQ_SEARCH_INFO] [EMPLOYEE_SIZE] [LIST_BIZ_BRANCH] [LIST_REG_CHARGES] [LIST_LIQUIDATOR] [LIST_WINDING_UP] [LIST_LITIGATION] [LIST_SHARE_INTEREST_COMP] [LIST_NAME_CHANGE] [LIST_SHAREHOLDER] [LIST_CAPITAL] [LIST_OFFICER_OWNER] [LIST_SALES_REVENUE_AMOUNT] properties: META_INFO: type: object example: |+ + Meta info Details with following children: SERVICE SYSTEM_ID CREATION_DATE @@ -107,80 +304,107 @@ components: SERVICE: type: string description: Report requested - example: "" + example: "BCP" SYSTEM_ID : type: string description: System ID - example: "" + example: "DDP" CREATION_DATE: type: string description: Report request date - example: "" + example: "Wed Apr 08 11:37:51 MYT 2009" USER_ID : type: string - description: Valid user id in DDP system - example: "" + description: Valid user id in DDP system. It is for (For internal use) + example: N/A CLASS: type: string description: Class location for metabean. It is for (For internal use) - example: "" + example: N/A REGISTRY_DETAIL : type: object description: Registry Details - example: "RENEWAL_DATE ADDRESS1 ADDRESS2 ADDRESS3 ADDRESS4 COMP_TYPE_CODE REG_DATE REG_ACTIVITY1 REG_ACTIVITY2 ACC_DATE STATUS_EFFECT_DATE NAME_EFFECT_DATE EXPIRY_DATE COMP_TYPE CHANGE_ADDR_DATE COMP_STATUS REG_ACTIVITY_DESC1 REG_ACTIVITY_DESC2 AUDITOR AUDITOR_APPMT_DATE LAST_AR_DATE LAST_AGM_DATE COUNTRY_INCORP" + example: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP properties: RENEWAL_DATE: type: string description: Renewal Date - example: "" + example: "23/12/2008" ADDRESS1: type: string - description: Address1 - example: "" + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" ADDRESS2: type: string - description: Address2 - example: "" + description: Address Line 2 + example: "KEPPEL BAY TOWER" ADDRESS3: type: string - description: Address3 - example: "" + description: Address Line 3 + example: "098632" ADDRESS4: type: string - description: Address4 - example: "" + description: Address Line 4 + example: "SINGAPORE" COMP_TYPE_CODE: type: string description: Report Code - example: "" + example: |+ + Available values are: + 1. CP Corporate + 2. SP Sole Proprietor REG_DATE: type: string description: Registration Date - example: "" + example: "14/10/1974" REG_ACTIVITY1: type: string description: Registered Activities 1 - example: "" + example: "OTHER INVESTMENT HOLDING COMPANIES" REG_ACTIVITY2: type: string description: Registered Activities 2 - example: "" + example: "SHIP MANAGEMENT SERVICES" ACC_DATE: type: string description: Account Date - example: "" + example: "31/12/2007" STATUS_EFFECT_DATE: type: string description: Status Effective Date - example: "" + example: "=14/10/1974" NAME_EFFECT_DATE: type: string description: Name Effective Date - example: "" + example: "14/10/1974" EXPIRY_DATE: type: string description: Expiry Date - example: "" + example: "25/10/2009" COMP_TYPE: type: string description: Company Type From 9a0bef6e97fd9899fcbb563a269e4e6c567b6615 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 12:17:00 +0530 Subject: [PATCH 0055/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 949bd3413..b395e05be 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -47,8 +47,8 @@ NLP: Page Profiler ENG: title: Page Profiler ENG versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" Taxonomy Matcher ENG: title: Taxonomy Matcher ENG versions: From e40a74b71da0b6d7b3a3e2d203b6d337f338ece8 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 16:50:16 +1000 Subject: [PATCH 0056/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 400 +++++++++--------- 1 file changed, 200 insertions(+), 200 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 4aede11df..2ca416b82 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -28,206 +28,206 @@ paths: $ref: '#/components/schemas/success' example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -300 - - - - - - - - - - - - - - - - - Scope of Work & FRS 16 Private & Confidential - -D&B - B2B Enquiry Technical Doc V2.28 - - - - - - -ABUTHAHIR ABDUL GAFOOR S1676216D -Liquidator -EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 -OUB CENTRE SINGAPORE 048616 30/03/2009 - -ANGELA ANG -S1633336D -Liquidator -KING FINANCIAL ADVISORY SERVICES LEVEL 17 MLC CENTRE 19029 MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA 18/02/2009 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Scope of Work & FRS 17 Private & Confidential - -D&B - B2B Enquiry Technical Doc V2.28 - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - -
- - - - - - - - - - - - - - - - Scope of Work & FRS 18 Private & Confidential - -D&B - B2B Enquiry Technical Doc V2.28 - - - - - - -
- - - - - - -
- - - - - - - - - 30000.00 - - 28000.00 - - 27,000.00 - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 300 + + + + + + + + + + + + + + + + + Scope of Work & FRS 16 Private & Confidential + + D&B - B2B Enquiry Technical Doc V2.28 + + + + + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + ANGELA ANG + S1633336D + Liquidator + KING FINANCIAL ADVISORY SERVICES LEVEL 17 MLC CENTRE 19029 MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA 18/02/2009 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Scope of Work & FRS 17 Private & Confidential + + D&B - B2B Enquiry Technical Doc V2.28 + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + + + + + + + + + + + + + + + Scope of Work & FRS 18 Private & Confidential + + D&B - B2B Enquiry Technical Doc V2.28 + + + + + + +
+ + + + + + +
+ + + + + + + + + 30000.00 + + 28000.00 + + 27,000.00 + + '401': description: Unauthorized content: From 8cd1dd0e113042ee1d4fcd69a4be64ac7c70e299 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 16:52:59 +1000 Subject: [PATCH 0057/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 202 +----------------- 1 file changed, 1 insertion(+), 201 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 2ca416b82..8f0ce17bf 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -27,207 +27,7 @@ paths: schema: $ref: '#/components/schemas/success' example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 300 - - - - - - - - - - - - - - - - - Scope of Work & FRS 16 Private & Confidential - - D&B - B2B Enquiry Technical Doc V2.28 - - - - - - - ABUTHAHIR ABDUL GAFOOR S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 - OUB CENTRE SINGAPORE 048616 30/03/2009 - - ANGELA ANG - S1633336D - Liquidator - KING FINANCIAL ADVISORY SERVICES LEVEL 17 MLC CENTRE 19029 MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA 18/02/2009 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Scope of Work & FRS 17 Private & Confidential - - D&B - B2B Enquiry Technical Doc V2.28 - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - -
- - - - - - - - - - - - - - - - Scope of Work & FRS 18 Private & Confidential - - D&B - B2B Enquiry Technical Doc V2.28 - - - - - - -
- - - - - - -
- - - - - - - - - 30000.00 - - 28000.00 - - 27,000.00 - - + example '401': description: Unauthorized content: From 8d77f06d6c8008bb7ec8da503becef3c1132a65c Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 17:04:45 +1000 Subject: [PATCH 0058/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 103 ++++++++++-------- 1 file changed, 55 insertions(+), 48 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 8f0ce17bf..dfaff322d 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -208,72 +208,79 @@ components: COMP_TYPE: type: string description: Company Type - example: "" + example: "LIMITED PRIVATE COMPANY" CHANGE_ADDR_DATE: type: string description: Change Address Date - example: "" + example: "09/05/2003" COMP_STATUS: type: string description: Company Status - example: "" + example: "Live Company" REG_ACTIVITY_DESC1: type: string description: Registered Activities Description - example: "" + example: REG_ACTIVITY_DESC2: type: string description: Registered Activities Description - example: "" + example: AUDITOR: type: string description: Auditor Name - example: "" + example: AUDITOR_APPMT_DATE: type: string description: Auditor Appointment Date - example: "" + example: "13/06/1990" LAST_AR_DATE: type: string description: Date of Last AR - example: "" + example: "30/06/2008" LAST_AGM_DATE: type: string description: Date of Last AGM - example: "" + example: "11/06/2008" COUNTRY_INCORP: type: string description: Country Incorporated - example: "" + example: "SINGAPORE" REQ_SEARCH_INFO : type: object - example: "COMP_NAME REG_NO REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR" - description: Request criteria & search record + example: "" + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR properties: COMP_NAME: type: string description: Company Name - example: "" + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" REG_NO: type: string description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "" + example: "197401835M" REQ_DATE: type: string description: Report Requested Date - example: "" + example: "2009-04-08 11:36:03.611" REQ_REG_NO: type: string description: Request Registration Number - example: "" + example: "197401835M" REQ_NAME: type: string description: Request Name - example: "" + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" REQ_DATE_STR: type: string description: Request Date String - example: "" + example: "08/04/2009 11:36:03" EMPLOYEE_SIZE : type: object description: Employee Size Details @@ -282,7 +289,7 @@ components: ELEMENTS: type: string description: Description - example: "" + example: "Employee Size" AMOUNT: type: string description: Number of employee @@ -416,118 +423,118 @@ components: SUBJECT_NAME : type: string description: Subject Name - example: "" + example: "SOON SOON SEAFOOD" NATURE_OF_CLAIM : type: string - example: "" + example: "CONTRACT 3" description: Nature of Claim STATUS_DATE : type: string - example: "" + example: "01/05/2008" description: Status Date CASE_NO : type: string - example: "" + example: "MC 40001 / 1999" description: Case No DOC_REMARKS : type: string - example: "" + example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" description: Document Remark CURRENCY1 : type: string - example: "" + example: "SGD" description: Currency 1 CURRENCY2 : type: string - example: "" + example: "MYR" description: Currency 2 CURRENCY3 : type: string - example: "" + example: "USD" description: Currency 3 CURRENCY4 : type: string - example: "" + example: "-" description: Currency 4 CURRENCY5 : type: string - example: "" + example: "-" description: Currency 5 DEF_SOLICITOR : type: string - example: "" + example: "SOL2" description: Def. Solicitor DEF_SOLICITOR_ID : type: string - example: "" + example: "20000000" description: Def. Solicitor ID DEF_LAW_FIRM : type: string - example: "" + example: "NAME2" description: Def. Law Firm DEF_FILE_REF : type: string - example: "" + example: "FILE2" description: Def. File Ref. DATE_OF_WRIT : type: string - example: "" + example: "01/01/2008" description: Date Writ STATUS : type: string - example: "" + example: "CONCLUDED 3" description: Status AMOUNT1 : type: string - example: "" + example: "100.00" description: Amount 1 AMOUNT2 : type: string - example: "" + example: "200.00" description: Amount 2 AMOUNT3 : type: string - example: "" + example: "0.00" description: Amount 3 AMOUNT4 : type: string - example: "" + example: "400.00" description: Amount 4 AMOUNT5 : type: string - example: "" + example: "0.00" description: Amount 5 PLAINTIFF : type: string - example: "" + example: "MC 40001" description: Plaintiff Name PLA_SOLICITOR: type: string - example: "" + example: "SOL2" description: plantiff Solicitor PLA_SOLICITOR_ID: type: string - example: "" + example: "20000000" description: plantiff Solicitor ID PLA_LAW_FIRM : type: string - example: "" + example: "NAME2" description: Pla. Law Firm PLA_FILE_REF : type: string - example: "" + example: "FILE2" description: Pla. File Ref. PLA_ID: type: string - example: "" + example: "S0739038F" description: Plaintiff ID PLA_STATUS: type: string - example: "" + example: "SETTLED - BEFORE SET DOWN" description: Plaintiff Status PLA_STATUS_DATE : type: string - example: "" + example: "17/10/2016" description: Plaintiff Status Date unauthorized: type: object From f90ec1bc3a2b5637b1edb9e008ca744d721f77bf Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 17:07:00 +1000 Subject: [PATCH 0059/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index dfaff322d..ea3a58977 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -249,13 +249,13 @@ components: type: object example: "" description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR properties: COMP_NAME: type: string From 01c288fcad843776688bc5c21966c0d2e45ca69b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 12:38:17 +0530 Subject: [PATCH 0060/5916] Add files via upload --- yaml/page_profiler_eng_v2.0.yaml | 263 +++++++++++++++++++++++++++++++ 1 file changed, 263 insertions(+) create mode 100644 yaml/page_profiler_eng_v2.0.yaml diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml new file mode 100644 index 000000000..fba85e823 --- /dev/null +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -0,0 +1,263 @@ + openapi: 3.0.1 + info: + title: Page Profiler ENG Updated + description: |+ + This NLP microservice retrieves web content in English from the input URL. + + From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '2.0' + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v2.0" + description: "Published Date - Apr 11, 2018" + paths: + /microservices/nlp/pageprofiler/v2.0/getpredictions: + post: + tags: + - v2.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + loc: + - Nat + - Sentient.io + - Home + - Inte + - CONTACT + - Join + misc: + - Sentient.io + - English + org: + - Our Clients + - AI + - APIs + - Sentient.io + - Our Technology Partners + - Named Entity Recognition + - Our Investors + per: + - Sentient.io + - Speech + - LinkedIn + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - Sentient.io + - English + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + -Our Clients + -AI + -APIs + -Sentient.io + -Our Technology Partners + -Named Entity Recognition + -Our Investors + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + -Sentient.io + -Speech + -LinkedIn + description: "name of persons names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.sentient.io/en/ + description: |+ + Input url + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 0773020bdbb311eb2eb3d1db05692d7cfe06c810 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 12:38:51 +0530 Subject: [PATCH 0061/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index b395e05be..cda276bd3 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -47,7 +47,7 @@ NLP: Page Profiler ENG: title: Page Profiler ENG versions: - v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" + v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng_v2.0.yaml" v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" Taxonomy Matcher ENG: title: Taxonomy Matcher ENG From ec75ada618fb7f299d57d4e03d08514ed232d4c5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 12:47:21 +0530 Subject: [PATCH 0062/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index fba85e823..319435a3f 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -1,5 +1,5 @@ - openapi: 3.0.1 - info: +openapi: 3.0.1 +info: title: Page Profiler ENG Updated description: |+ This NLP microservice retrieves web content in English from the input URL. @@ -8,12 +8,12 @@ The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '2.0' - servers: +servers: - url: 'https://apis.sentient.io' - tags: +tags: - name: "v2.0" description: "Published Date - Apr 11, 2018" - paths: +paths: /microservices/nlp/pageprofiler/v2.0/getpredictions: post: tags: @@ -107,7 +107,7 @@ schema: $ref: '#/components/schemas/input' required: true - components: +components: schemas: success: type: object From 3d2263c46cda8f25de6fbf85cbf7e4129bc35e19 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 17:17:29 +1000 Subject: [PATCH 0063/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index ea3a58977..fd6179e87 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -249,13 +249,7 @@ components: type: object example: "" description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR + test test properties: COMP_NAME: type: string From cf17c1df035af074783e757aa3b681eb23c4426c Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 17:18:45 +1000 Subject: [PATCH 0064/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index fd6179e87..e33238be8 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -249,7 +249,6 @@ components: type: object example: "" description: |+ - test test properties: COMP_NAME: type: string From 0585b0f14b981c4dcf5d5ef24f27ee86d4f1b478 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 12:51:46 +0530 Subject: [PATCH 0065/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 20 +++++++++----------- 1 file changed, 9 insertions(+), 11 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 319435a3f..8863ce442 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -1,15 +1,15 @@ openapi: 3.0.1 info: - title: Page Profiler ENG Updated - description: |+ - This NLP microservice retrieves web content in English from the input URL. - - From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - version: '2.0' + title: Page Profiler ENG Updated + description: |+ + This NLP microservice retrieves web content in English from the input URL. + + From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '2.0' servers: - - url: 'https://apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0" description: "Published Date - Apr 11, 2018" @@ -167,7 +167,6 @@ components: type: string example: Success description: The status of the API call success/failure - unauthorized: type: object properties: @@ -253,7 +252,6 @@ components: example: https://www.sentient.io/en/ description: |+ Input url - securitySchemes: APIAuthorizer: type: apiKey From 0b0a07828af81c5bb7a821ff68bc51fa5796bf1d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 12:53:31 +0530 Subject: [PATCH 0066/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 478 +++++++++++++++---------------- 1 file changed, 239 insertions(+), 239 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 8863ce442..2e5eb19dd 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -14,248 +14,248 @@ tags: - name: "v2.0" description: "Published Date - Apr 11, 2018" paths: - /microservices/nlp/pageprofiler/v2.0/getpredictions: - post: - tags: - - v2.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - loc: - - Nat - - Sentient.io - - Home - - Inte - - CONTACT - - Join - misc: - - Sentient.io - - English - org: - - Our Clients - - AI - - APIs - - Sentient.io - - Our Technology Partners - - Named Entity Recognition - - Our Investors - per: - - Sentient.io - - Speech - - LinkedIn - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: + /microservices/nlp/pageprofiler/v2.0/getpredictions: + post: + tags: + - v2.0 + responses: + '200': + description: success response content: application/json: schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + loc: + - Nat + - Sentient.io + - Home + - Inte + - CONTACT + - Join + misc: - Sentient.io - English - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - -Our Clients - -AI - -APIs - -Sentient.io - -Our Technology Partners - -Named Entity Recognition - -Our Investors - description: "name of organizations names found in the text string" - per: - type: array - items: - type: string - example: - -Sentient.io - -Speech - -LinkedIn - description: "name of persons names found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure + org: + - Our Clients + - AI + - APIs + - Sentient.io + - Our Technology Partners + - Named Entity Recognition + - Our Investors + per: + - Sentient.io + - Speech + - LinkedIn + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - Sentient.io + - English + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + -Our Clients + -AI + -APIs + -Sentient.io + -Our Technology Partners + -Named Entity Recognition + -Our Investors + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + -Sentient.io + -Speech + -LinkedIn + description: "name of persons names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure - input: - type: object - required: - - url - properties: - url: - x-name: url - type: string - default: true - example: https://www.sentient.io/en/ - description: |+ - Input url - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.sentient.io/en/ + description: |+ + Input url + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 7a80772e31ca640901a10fafc0de1ca0f44fe3b0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 13:03:13 +0530 Subject: [PATCH 0067/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 508 ++++++++++++++++--------------- 1 file changed, 255 insertions(+), 253 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 2e5eb19dd..fba85e823 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -1,261 +1,263 @@ -openapi: 3.0.1 -info: - title: Page Profiler ENG Updated - description: |+ - This NLP microservice retrieves web content in English from the input URL. - - From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - version: '2.0' -servers: - - url: 'https://apis.sentient.io' -tags: + openapi: 3.0.1 + info: + title: Page Profiler ENG Updated + description: |+ + This NLP microservice retrieves web content in English from the input URL. + + From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '2.0' + servers: + - url: 'https://apis.sentient.io' + tags: - name: "v2.0" description: "Published Date - Apr 11, 2018" -paths: - /microservices/nlp/pageprofiler/v2.0/getpredictions: - post: - tags: - - v2.0 - responses: - '200': - description: success response + paths: + /microservices/nlp/pageprofiler/v2.0/getpredictions: + post: + tags: + - v2.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + loc: + - Nat + - Sentient.io + - Home + - Inte + - CONTACT + - Join + misc: + - Sentient.io + - English + org: + - Our Clients + - AI + - APIs + - Sentient.io + - Our Technology Partners + - Named Entity Recognition + - Our Investors + per: + - Sentient.io + - Speech + - LinkedIn + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: content: application/json: schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - loc: - - Nat - - Sentient.io - - Home - - Inte - - CONTACT - - Join - misc: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: - Sentient.io - English - org: - - Our Clients - - AI - - APIs - - Sentient.io - - Our Technology Partners - - Named Entity Recognition - - Our Investors - per: - - Sentient.io - - Speech - - LinkedIn - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - Sentient.io - - English - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - -Our Clients - -AI - -APIs - -Sentient.io - -Our Technology Partners - -Named Entity Recognition - -Our Investors - description: "name of organizations names found in the text string" - per: - type: array - items: - type: string - example: - -Sentient.io - -Speech - -LinkedIn - description: "name of persons names found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + -Our Clients + -AI + -APIs + -Sentient.io + -Our Technology Partners + -Named Entity Recognition + -Our Investors + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + -Sentient.io + -Speech + -LinkedIn + description: "name of persons names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure - input: - type: object - required: - - url - properties: - url: - x-name: url - type: string - default: true - example: https://www.sentient.io/en/ - description: |+ - Input url - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.sentient.io/en/ + description: |+ + Input url + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 08cfe51b5c56a3b9ab5683120176c3811b5aaf29 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 13:04:12 +0530 Subject: [PATCH 0068/5916] Delete page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 263 ------------------------------- 1 file changed, 263 deletions(-) delete mode 100644 yaml/page_profiler_eng_v2.0.yaml diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml deleted file mode 100644 index fba85e823..000000000 --- a/yaml/page_profiler_eng_v2.0.yaml +++ /dev/null @@ -1,263 +0,0 @@ - openapi: 3.0.1 - info: - title: Page Profiler ENG Updated - description: |+ - This NLP microservice retrieves web content in English from the input URL. - - From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - version: '2.0' - servers: - - url: 'https://apis.sentient.io' - tags: - - name: "v2.0" - description: "Published Date - Apr 11, 2018" - paths: - /microservices/nlp/pageprofiler/v2.0/getpredictions: - post: - tags: - - v2.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - loc: - - Nat - - Sentient.io - - Home - - Inte - - CONTACT - - Join - misc: - - Sentient.io - - English - org: - - Our Clients - - AI - - APIs - - Sentient.io - - Our Technology Partners - - Named Entity Recognition - - Our Investors - per: - - Sentient.io - - Speech - - LinkedIn - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - Sentient.io - - English - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - -Our Clients - -AI - -APIs - -Sentient.io - -Our Technology Partners - -Named Entity Recognition - -Our Investors - description: "name of organizations names found in the text string" - per: - type: array - items: - type: string - example: - -Sentient.io - -Speech - -LinkedIn - description: "name of persons names found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - - input: - type: object - required: - - url - properties: - url: - x-name: url - type: string - default: true - example: https://www.sentient.io/en/ - description: |+ - Input url - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From ad8ab7fc562fe3e248ac15a96a1476b6580d5a03 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 13:04:38 +0530 Subject: [PATCH 0069/5916] Add files via upload --- yaml/page_profiler_eng_v2.0.yaml | 263 +++++++++++++++++++++++++++++++ 1 file changed, 263 insertions(+) create mode 100644 yaml/page_profiler_eng_v2.0.yaml diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml new file mode 100644 index 000000000..fba85e823 --- /dev/null +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -0,0 +1,263 @@ + openapi: 3.0.1 + info: + title: Page Profiler ENG Updated + description: |+ + This NLP microservice retrieves web content in English from the input URL. + + From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '2.0' + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v2.0" + description: "Published Date - Apr 11, 2018" + paths: + /microservices/nlp/pageprofiler/v2.0/getpredictions: + post: + tags: + - v2.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + loc: + - Nat + - Sentient.io + - Home + - Inte + - CONTACT + - Join + misc: + - Sentient.io + - English + org: + - Our Clients + - AI + - APIs + - Sentient.io + - Our Technology Partners + - Named Entity Recognition + - Our Investors + per: + - Sentient.io + - Speech + - LinkedIn + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - Sentient.io + - English + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + -Our Clients + -AI + -APIs + -Sentient.io + -Our Technology Partners + -Named Entity Recognition + -Our Investors + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + -Sentient.io + -Speech + -LinkedIn + description: "name of persons names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.sentient.io/en/ + description: |+ + Input url + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From ce2fd87e4f7a95e04743b67535638f8f955ad2d6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 13:06:21 +0530 Subject: [PATCH 0070/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index cda276bd3..b395e05be 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -47,7 +47,7 @@ NLP: Page Profiler ENG: title: Page Profiler ENG versions: - v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng_v2.0.yaml" + v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" Taxonomy Matcher ENG: title: Taxonomy Matcher ENG From 75b35cca07d4bd1edfc32fa1d07fa5a2caa7711d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 13:07:49 +0530 Subject: [PATCH 0071/5916] Update index.yaml --- yaml/index.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index b395e05be..57698b9d6 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -47,7 +47,6 @@ NLP: Page Profiler ENG: title: Page Profiler ENG versions: - v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" Taxonomy Matcher ENG: title: Taxonomy Matcher ENG From b19e198a2099d5aeab1760b3a21aa54835cf7049 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 13:21:21 +0530 Subject: [PATCH 0072/5916] Update index.yaml --- yaml/index.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/yaml/index.yaml b/yaml/index.yaml index 57698b9d6..b395e05be 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -47,6 +47,7 @@ NLP: Page Profiler ENG: title: Page Profiler ENG versions: + v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" Taxonomy Matcher ENG: title: Taxonomy Matcher ENG From 4e53160d302d590327282b12b6d83dcad81a0a73 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 18:19:02 +1000 Subject: [PATCH 0073/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index e33238be8..55963e2c0 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -85,21 +85,21 @@ components: properties: REPORT: type: object - example: "" + example: description: |+ - Report Details with following children: + Report details with following children: [META_INFO] [REGISTRY_DETAIL] [REQ_SEARCH_INFO] [EMPLOYEE_SIZE] [LIST_BIZ_BRANCH] [LIST_REG_CHARGES] [LIST_LIQUIDATOR] [LIST_WINDING_UP] [LIST_LITIGATION] [LIST_SHARE_INTEREST_COMP] [LIST_NAME_CHANGE] [LIST_SHAREHOLDER] [LIST_CAPITAL] [LIST_OFFICER_OWNER] [LIST_SALES_REVENUE_AMOUNT] properties: META_INFO: type: object - example: |+ - Meta info Details with following children: + example: + description: |+ + Meta Information details with following children: SERVICE SYSTEM_ID CREATION_DATE USER_ID CLASS - description: Meta Information properties: SERVICE: type: string @@ -123,8 +123,8 @@ components: example: N/A REGISTRY_DETAIL : type: object - description: Registry Details - example: |+ + example: + description: |+ Registry Details with following children: RENEWAL_DATE ADDRESS1 @@ -172,8 +172,8 @@ components: example: "SINGAPORE" COMP_TYPE_CODE: type: string - description: Report Code - example: |+ + example: CP + description: |+ Available values are: 1. CP Corporate 2. SP Sole Proprietor From 44e7760a16788327af220b7b3f8f81e72bcaf10a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 18:19:55 +1000 Subject: [PATCH 0074/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml From a79d496a456948cef828f67aa1e3184ccbd1bf25 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:07:16 +0530 Subject: [PATCH 0075/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index b395e05be..cda276bd3 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -47,7 +47,7 @@ NLP: Page Profiler ENG: title: Page Profiler ENG versions: - v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" + v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng_v2.0.yaml" v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" Taxonomy Matcher ENG: title: Taxonomy Matcher ENG From 12ccc3ef3b9b25b0f405f69ce5dcb616416733ea Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 18:38:42 +1000 Subject: [PATCH 0076/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 36 +++++++++++++++++-- 1 file changed, 33 insertions(+), 3 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 55963e2c0..f94ccf099 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -410,8 +410,38 @@ components: properties: LITIGATION : type: object - description: List of Winding Up - example: "SUBJECT_NAME NATURE_OF_CLAIM STATUS_DATE CASE_NO DOC_REMARKS CURRENCY1 CURRENCY2 CURRENCY3 CURRENCY4 CURRENCY5 DEF_SOLICITOR DEF_SOLICITOR_ID DEF_LAW_FIRM DEF_FILE_REF DATE_OF_WRIT STATUS AMOUNT1 AMOUNT2 AMOUNT3 AMOUNT4 AMOUNT5 PLAINTIFF PLA_SOLICITOR PLA_SOLICITOR_ID PLA_LAW_FIRM PLA_FILE_REF PLA_ID PLA_STATUS PLA_STATUS_DATE" + description: |+ + List of Winding Up with following children: + SUBJECT_NAME + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + DOC_REMARK + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + DATE_OF_WRIT + STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + PLAINTIFF + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_LAW_FIRM + PLA_FILE_REF + PLA_ID + PLA_STATUS + PLA_STATUS_DATE + example: "" properties: SUBJECT_NAME : type: string @@ -621,7 +651,7 @@ components: properties: SUBJECT_IDNO: type: string - example: "199707714C" + example: 199707714C description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" default: true SUBJECT_NAME: From b1eca17fafe57c992c491039d2c1974057ef8dfe Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 18:44:46 +1000 Subject: [PATCH 0077/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index f94ccf099..47ffd3d26 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -174,7 +174,7 @@ components: type: string example: CP description: |+ - Available values are: + Report Code. Available values are: 1. CP Corporate 2. SP Sole Proprietor REG_DATE: @@ -196,7 +196,7 @@ components: STATUS_EFFECT_DATE: type: string description: Status Effective Date - example: "=14/10/1974" + example: "14/10/1974" NAME_EFFECT_DATE: type: string description: Name Effective Date @@ -247,8 +247,10 @@ components: example: "SINGAPORE" REQ_SEARCH_INFO : type: object - example: "" + example: description: |+ + Request criteria & search record with following children: + COMP_NAME REG_NO REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR properties: COMP_NAME: type: string From 99e939543c9b8965abfd222c5d40fcdf114fc2fa Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:17:24 +0530 Subject: [PATCH 0078/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 102 ++++++------------------------- 1 file changed, 19 insertions(+), 83 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index fba85e823..c363fba50 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -1,4 +1,4 @@ - openapi: 3.0.1 +openapi: 3.0.1 info: title: Page Profiler ENG Updated description: |+ @@ -17,7 +17,7 @@ /microservices/nlp/pageprofiler/v2.0/getpredictions: post: tags: - - v2.0 + - v1.0 responses: '200': description: success response @@ -25,32 +25,7 @@ application/json: schema: $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - loc: - - Nat - - Sentient.io - - Home - - Inte - - CONTACT - - Join - misc: - - Sentient.io - - English - org: - - Our Clients - - AI - - APIs - - Sentient.io - - Our Technology Partners - - Named Entity Recognition - - Our Investors - per: - - Sentient.io - - Speech - - LinkedIn - status: Success + example: {"LOC": ["Beijing","Atlanta","Indonesia"], "MISC": [Twiight,Singaporean],"ORG": [CNA,Singapore Parliament],"PER": [Skip Navigation,Bookmarks]} '401': description: Unauthorized content: @@ -112,61 +87,22 @@ success: type: object properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - Sentient.io - - English - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - -Our Clients - -AI - -APIs - -Sentient.io - -Our Technology Partners - -Named Entity Recognition - -Our Investors - description: "name of organizations names found in the text string" - per: - type: array - items: - type: string - example: - -Sentient.io - -Speech - -LinkedIn - description: "name of persons names found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure + LOC: + type: array + example: ["Beijing","Atlanta","Indonesia"] + description: "name of location found in the text string" + MISC: + type: array + example: [Twiight,Singaporean] + description: "name of miscellaneous names found in the text string" + ORG: + type: array + example: [CNA,Singapore Parliament] + description: "name of organizations found in the text string" + PER: + type: array + example: [Skip Navigation,Bookmarks] + description: "name of persons found in the text string" unauthorized: type: object From 548606cf8d020a4b108ec7a702fb439a9f2992c0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:22:32 +0530 Subject: [PATCH 0079/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 388 ++++++++++++++++--------------- 1 file changed, 195 insertions(+), 193 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index c363fba50..fe1ea3d5c 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -1,199 +1,201 @@ openapi: 3.0.1 - info: - title: Page Profiler ENG Updated - description: |+ - This NLP microservice retrieves web content in English from the input URL. +info: + title: Page Profiler ENG Updated + description: |+ + This NLP microservice retrieves web content in English from the input URL. - From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - version: '2.0' - servers: - - url: 'https://apis.sentient.io' - tags: - - name: "v2.0" - description: "Published Date - Apr 11, 2018" - paths: - /microservices/nlp/pageprofiler/v2.0/getpredictions: - post: - tags: - - v1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"LOC": ["Beijing","Atlanta","Indonesia"], "MISC": [Twiight,Singaporean],"ORG": [CNA,Singapore Parliament],"PER": [Skip Navigation,Bookmarks]} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '2.0' +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v2.0" + description: "Published Date - Apr 11, 2018" +paths: + /microservices/nlp/pageprofiler/v2.0/getpredictions: + post: + tags: + - v2.0 + responses: + '200': + description: success response content: application/json: schema: - $ref: '#/components/schemas/input' - required: true - components: - schemas: - success: - type: object - properties: - LOC: - type: array - example: ["Beijing","Atlanta","Indonesia"] - description: "name of location found in the text string" - MISC: - type: array - example: [Twiight,Singaporean] - description: "name of miscellaneous names found in the text string" - ORG: - type: array - example: [CNA,Singapore Parliament] - description: "name of organizations found in the text string" - PER: - type: array - example: [Skip Navigation,Bookmarks] - description: "name of persons found in the text string" - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - - input: - type: object - required: - - url - properties: - url: - x-name: url - type: string - default: true - example: https://www.sentient.io/en/ - description: |+ - Input url - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + $ref: '#/components/schemas/success' + example: + message: "各位同学朋友老师教授大家好我叫墓园" + status: success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: 各位同学朋友老师教授大家好我叫墓园 + description: Converted Text + status: + type: string + example: success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - audio + properties: + audio: + x-name: audio + type: string + default: true + example: data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input file in base64 format and needs to be prefixed by the data type and encoding + data:audio/wav;base64, + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 18,2018 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From ca321638e48e0170fc53a748f1e71de37efc94b4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:26:01 +0530 Subject: [PATCH 0080/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 23 +++++++++++------------ 1 file changed, 11 insertions(+), 12 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index fe1ea3d5c..ce2f151e5 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -170,18 +170,17 @@ components: type: string example: Failure input: - type: object - required: - - audio - properties: - audio: - x-name: audio - type: string - default: true - example: data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input file in base64 format and needs to be prefixed by the data type and encoding - data:audio/wav;base64, + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.sentient.io/en/ + description: |+ + Input url versions: type: object properties: From c57749264606d72002bf1251b8358ee9d9f350a9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:30:51 +0530 Subject: [PATCH 0081/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 67 +++++++++++++++++++++++++++----- 1 file changed, 57 insertions(+), 10 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index ce2f151e5..07344c8f1 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -87,16 +87,63 @@ paths: components: schemas: success: - type: object - properties: - message: - type: string - example: 各位同学朋友老师教授大家好我叫墓园 - description: Converted Text - status: - type: string - example: success - description: The status of the API call success/failure + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - Sentient.io + - English + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + -Our Clients + -AI + -APIs + -Sentient.io + -Our Technology Partners + -Named Entity Recognition + -Our Investors + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + -Sentient.io + -Speech + -LinkedIn + description: "name of persons names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: From 110729fbfbfb15d4ef815a6a93f226f9649dd711 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:33:03 +0530 Subject: [PATCH 0082/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 29 ++++++++++++++++++++++++++--- 1 file changed, 26 insertions(+), 3 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 07344c8f1..e8e01b3fa 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -25,9 +25,32 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: - message: "各位同学朋友老师教授大家好我叫墓园" - status: success + example: + message: Successfully Processed + results: + loc: + - Nat + - Sentient.io + - Home + - Inte + - CONTACT + - Join + misc: + - Sentient.io + - English + org: + - Our Clients + - AI + - APIs + - Sentient.io + - Our Technology Partners + - Named Entity Recognition + - Our Investors + per: + - Sentient.io + - Speech + - LinkedIn + status: Success '401': description: Unauthorized content: From b5249bd8a008c589c1a4d40accfd2f7957840686 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:33:15 +0530 Subject: [PATCH 0083/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index e8e01b3fa..69f9304e2 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -6,7 +6,9 @@ info: From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '2.0' servers: - url: 'https://apis.sentient.io' From 03e19afb5d14da62a3bcd320d34ce5a9e639254b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:39:32 +0530 Subject: [PATCH 0084/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 108 +++++++------------------------ 1 file changed, 22 insertions(+), 86 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 69f9304e2..13c1c8738 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -6,9 +6,7 @@ info: From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - The named-entity classes extracted are persons, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '2.0' servers: - url: 'https://apis.sentient.io' @@ -27,32 +25,9 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - loc: - - Nat - - Sentient.io - - Home - - Inte - - CONTACT - - Join - misc: - - Sentient.io - - English - org: - - Our Clients - - AI - - APIs - - Sentient.io - - Our Technology Partners - - Named Entity Recognition - - Our Investors - per: - - Sentient.io - - Speech - - LinkedIn - status: Success + example: + message: "各位同学朋友老师教授大家好我叫墓园" + status: success '401': description: Unauthorized content: @@ -112,63 +87,24 @@ paths: components: schemas: success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - Sentient.io - - English - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - -Our Clients - -AI - -APIs - -Sentient.io - -Our Technology Partners - -Named Entity Recognition - -Our Investors - description: "name of organizations names found in the text string" - per: - type: array - items: - type: string - example: - -Sentient.io - -Speech - -LinkedIn - description: "name of persons names found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure + type: object + properties: + LOC: + type: array + example: ["Beijing","Atlanta","Indonesia"] + description: "name of location found in the text string" + MISC: + type: array + example: [Twiight,Singaporean] + description: "name of miscellaneous names found in the text string" + ORG: + type: array + example: [CNA,Singapore Parliament] + description: "name of organizations found in the text string" + PER: + type: array + example: [Skip Navigation,Bookmarks] + description: "name of persons found in the text string" unauthorized: type: object properties: From d6341d50007cecb27dd4163a5a2bcb18f156fdcf Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:40:11 +0530 Subject: [PATCH 0085/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 29 ++++++++++++++++++++++++++--- 1 file changed, 26 insertions(+), 3 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 13c1c8738..1a720f975 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -25,9 +25,32 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: - message: "各位同学朋友老师教授大家好我叫墓园" - status: success + example: + message: Successfully Processed + results: + loc: + - Nat + - Sentient.io + - Home + - Inte + - CONTACT + - Join + misc: + - Sentient.io + - English + org: + - Our Clients + - AI + - APIs + - Sentient.io + - Our Technology Partners + - Named Entity Recognition + - Our Investors + per: + - Sentient.io + - Speech + - LinkedIn + status: Success '401': description: Unauthorized content: From a318d17b0e3e078160d61f554c22ec273746299c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:42:53 +0530 Subject: [PATCH 0086/5916] Update index.yaml --- yaml/index.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/yaml/index.yaml b/yaml/index.yaml index cda276bd3..ffb4b85f2 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -39,6 +39,7 @@ NLP: Named-Entity Recognition ENG: title: Named-Entity Recognition ENG versions: + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" Named-Entity Recognition ENG using SPACY: title: Named-Entity Recognition ENG using SPACY @@ -60,10 +61,12 @@ NLP: Named-Entity Recognition JAP: title: Named-Entity Recognition JAP versions: + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_jap.yaml" Named Entity Recognition THAI: title: Named Entity Recognition THAI versions: + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_thai.yaml" Script Alignment: title: Script Alignment From 40279c94ef5562b6a0449f1cf1a996e260ec6ccf Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:43:16 +0530 Subject: [PATCH 0087/5916] Add files via upload --- yaml/named-entity_recognition_eng_v1.0.yaml | 246 ++++++++++++++++ yaml/named-entity_recognition_jap_v1.0.yaml | 288 +++++++++++++++++++ yaml/named-entity_recognition_thai_v1.0.yaml | 246 ++++++++++++++++ 3 files changed, 780 insertions(+) create mode 100644 yaml/named-entity_recognition_eng_v1.0.yaml create mode 100644 yaml/named-entity_recognition_jap_v1.0.yaml create mode 100644 yaml/named-entity_recognition_thai_v1.0.yaml diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml new file mode 100644 index 000000000..42a687dd9 --- /dev/null +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -0,0 +1,246 @@ +openapi: 3.0.1 +info: + title: Named-Entity Recognition ENG Updated + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured English text. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '1.0' +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0" + description: "Published Date - Nov 25, 2019" +paths: + /microservices/nlp/namedentityrecognition/v1.0/getpredictions: + post: + tags: + - v1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + loc: + - Hubei + - Singapore + - SINGAPORE + - China + - Immigration + misc: + - ICA.They + org: + - Immigration and Checkpoints Authority + - ICA + - LOA + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + - Hubei + - Singapore + - Hubei + - Hubei + - Immigration + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - ICA.They + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + - Immigration and Checkpoints Authority + - ICA + - LOA + description: "name of organizations names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + description: Initial version release + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: SINGAPORE - Immigration officers have issued 77 stay-home notices as of noon on Wednesday (Feb 19), 12 hours after the scheme kicked in.These notices were issued to Singapore residents, long-term pass holders and foreign workers who have travelled to mainland China in the last 14 days, said the Immigration and Checkpoints Authority (ICA) in response to queries on Thursday.Travellers from Hubei province are excluded from this scheme, as they are quarantined.Those who are issued the new notices, which took effect at 11.59pm on Tuesday, cannot leave their homes for 14 days./n This is stricter than the leave of absence (LOA), which allowed people to briefly leave their homes for necessities. LOA will no longer be issued.Those who do not observe the stay-home period can be prosecuted under the Infectious Diseases Act, warned the ICA.They could be fined up to $10,000 or jailed for up to six month, or both, for the first offence. For subsequent offences, this could go up to a maximum of $20,000 and up to a year. + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/yaml/named-entity_recognition_jap_v1.0.yaml b/yaml/named-entity_recognition_jap_v1.0.yaml new file mode 100644 index 000000000..d8a8e0d95 --- /dev/null +++ b/yaml/named-entity_recognition_jap_v1.0.yaml @@ -0,0 +1,288 @@ +openapi: 3.0.1 +info: + title: Named-Entity Recognition JAP Updated + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '1.0' +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0" + description: "Published Date - May 19, 2020" +paths: + /microservices/nlp/japanesener/v1.0/getpredictions: + post: + tags: + - v1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + age: + - '56' + countx_other: + - 2稿 + - 8口 + doctrine_method_other: + - 険所コホ特室りょ + n_event: + - 受1 + numex_other: + - 百経 + ordinal_number: + - 30弾 + person: + - くぼ + - 壮 + - 琢紫 + - ナユ + product_other: + - 都合ヘラアニ限 + - 議帳 + show_organization: + - 左成相態 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + age: + type: array + items: + type: string + example: + - 56 + countx_other: + type: array + items: + type: string + example: + - 2稿 + - 8口 + doctrine_method_other: + type: array + items: + type: string + example: + - 険所コホ特室りょ + n_event: + type: array + items: + type: string + example: + - 受1 + numex_other: + type: array + items: + type: string + example: + - 受1 + ordinal_number: + type: array + items: + type: string + example: + -30弾 + person: + type: array + items: + type: string + example: + - person + - 壮 + - 琢紫 + - ナユ + product_other: + type: array + items: + type: string + example: + - 都合ヘラアニ限 + - 議帳 + show_organization: + type: array + items: + type: string + example: + - 左成相態 + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 19,2020 + description: Initial version release + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: 30弾ソイキ昇機マ了映だ店原いひ険所コホ特室りょくぼ都合ヘラアニ限2稿タチケア迷芸歌セ利講ルねひ詳績めかをぶ観提メエ府木ホフタ分不写ひフ妹検らし器増壮憶クわ。8口アユ琢紫ヨ理特ゆほス見百経イス図退ナユ介精しぜ議帳モテ受1中コハ載北早ぎのりや載裁風力壌ひろふ。運56済ぞ下写報スや来際おっはの学要ヘ手米真社つみよや非央で野館き肉待づぜフ次睡ルをが左成相態万えやろ。 + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml new file mode 100644 index 000000000..915dbc36e --- /dev/null +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -0,0 +1,246 @@ +openapi: 3.0.1 +info: + title: Named-Entity Recognition THAI Updated + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '1.0' +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0" + description: "Published Date - Aug 28, 2020" +paths: + /microservices/nlp/thainer/v1.0/getpredictions: + post: + tags: + - v1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + law: + - รัฐธรรมนูญ + location: + - ประเทศไทย + - มาเลเซีย + - ทะเลอันดามัน + - กรุงเทพมหานคร + - อินโดนีเซีย + - ราชอาณาจักรไทย + - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + - ลาวทางทิศตะวันออกติดกับลาว + - เอเชียตะวันออกเฉียงใต้ + - เวียดนาม + - ประเทศพม่า + - กัมพูชาทางทิศใต้ติดกับอ่าวไทย + organization: + - รัฐสภา + status: Success์ + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + law: + type: array + items: + type: string + example: + -รัฐธรรมนูญ + location: + type: array + items: + type: string + example: + -ประเทศไทย + -มาเลเซีย + -ทะเลอันดามัน + -กรุงเทพมหานคร + -อินโดนีเซีย + -ราชอาณาจักรไทย + -อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + -ลาวทางทิศตะวันออกติดกับลาว + -เอเชียตะวันออกเฉียงใต้ + -เวียดนาม + -ประเทศพม่า + -กัมพูชาทางทิศใต้ติดกับอ่าว + organization: + type: array + items: + type: string + example: + - รัฐสภา + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 28,2020 + description: Initial version release + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: ประเทศไทย [a] ราชอาณาจักรไทยอย่างเป็นทางการและมีชื่อเดิมว่าสยาม [b] เป็นประเทศในเอเชียตะวันออกเฉียงใต้ ตั้งอยู่ที่ใจกลางคาบสมุทรอินโดจีนประกอบด้วย 76 จังหวัดและครอบคลุมพื้นที่ 513,120 ตารางกิโลเมตร (198,120 ตารางไมล์) และมีประชากรมากกว่า 66 ล้านคน [4] ประเทศไทยเป็นประเทศที่มีพื้นที่ทางบกมากเป็นอันดับที่ 50ของโลกและเป็นประเทศที่มีประชากรมากที่สุดเป็นอันดับที่ 22 ของโลก เมืองหลวงและเมืองที่ใหญ่ที่สุดคือกรุงเทพมหานครซึ่งเป็นเขตปกครองพิเศษ ประเทศไทยมีพรมแดนติดทางทิศเหนือติดกับเมียนมาร์และลาวทางทิศตะวันออกติดกับลาวและกัมพูชาทางทิศใต้ติดกับอ่าวไทยและมาเลเซียและทางทิศตะวันตกติดกับทะเลอันดามันและทางตอนใต้ของประเทศพม่า พรมแดนทางทะเล ได้แก่ เวียดนามในอ่าวไทยทางตะวันออกเฉียงใต้และอินโดนีเซียและอินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ ประเทศไทยเป็นระบอบรัฐธรรมนูญและประชาธิปไตยแบบรัฐสภา อย่างไรก็ตามในประวัติศาสตร์ที่ผ่านมารัฐบาลของตนต้องเผชิญกับการรัฐประหารหลายครั้งและช่วงเวลาแห่งการปกครองแบบเผด็จการทหารย เวลา + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 547946e84936a4363895fb410bd70f94ea7a9429 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:44:37 +0530 Subject: [PATCH 0088/5916] Update index.yaml --- yaml/index.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index ffb4b85f2..85d127b84 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -39,7 +39,7 @@ NLP: Named-Entity Recognition ENG: title: Named-Entity Recognition ENG versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng_v1.0.yaml" v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" Named-Entity Recognition ENG using SPACY: title: Named-Entity Recognition ENG using SPACY @@ -61,12 +61,12 @@ NLP: Named-Entity Recognition JAP: title: Named-Entity Recognition JAP versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_jap_v1.0.yaml" v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_jap.yaml" Named Entity Recognition THAI: title: Named Entity Recognition THAI versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_thai_v1.0.yaml" v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_thai.yaml" Script Alignment: title: Script Alignment From 3c1a00d7b989bf90ec6f832285e9a14bf3627538 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:46:54 +0530 Subject: [PATCH 0089/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 46 +++++--------------- 1 file changed, 11 insertions(+), 35 deletions(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index 915dbc36e..c125ef8e4 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -108,41 +108,17 @@ components: success: type: object properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - law: - type: array - items: - type: string - example: - -รัฐธรรมนูญ - location: - type: array - items: - type: string - example: - -ประเทศไทย - -มาเลเซีย - -ทะเลอันดามัน - -กรุงเทพมหานคร - -อินโดนีเซีย - -ราชอาณาจักรไทย - -อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ - -ลาวทางทิศตะวันออกติดกับลาว - -เอเชียตะวันออกเฉียงใต้ - -เวียดนาม - -ประเทศพม่า - -กัมพูชาทางทิศใต้ติดกับอ่าว - organization: - type: array - items: - type: string - example: - - รัฐสภา - + location: + x-name: location + type: array + example: [ สหรัฐอเมริ ] + description: name of location found in the text string + + person: + x-name: person + type: array + example: [ ประธานาธิบดีทร ] + description: name of person found in the text string unauthorized: type: object properties: From b981f421e194b23e7a1aee41295ab512ed106fa3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:48:18 +0530 Subject: [PATCH 0090/5916] Update named-entity_recognition_jap_v1.0.yaml --- yaml/named-entity_recognition_jap_v1.0.yaml | 84 +++++---------------- 1 file changed, 20 insertions(+), 64 deletions(-) diff --git a/yaml/named-entity_recognition_jap_v1.0.yaml b/yaml/named-entity_recognition_jap_v1.0.yaml index d8a8e0d95..3969e3ee2 100644 --- a/yaml/named-entity_recognition_jap_v1.0.yaml +++ b/yaml/named-entity_recognition_jap_v1.0.yaml @@ -113,70 +113,26 @@ components: success: type: object properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - age: - type: array - items: - type: string - example: - - 56 - countx_other: - type: array - items: - type: string - example: - - 2稿 - - 8口 - doctrine_method_other: - type: array - items: - type: string - example: - - 険所コホ特室りょ - n_event: - type: array - items: - type: string - example: - - 受1 - numex_other: - type: array - items: - type: string - example: - - 受1 - ordinal_number: - type: array - items: - type: string - example: - -30弾 - person: - type: array - items: - type: string - example: - - person - - 壮 - - 琢紫 - - ナユ - product_other: - type: array - items: - type: string - example: - - 都合ヘラアニ限 - - 議帳 - show_organization: - type: array - items: - type: string - example: - - 左成相態 + Company: + x-name: Company + type: array + example: [ 和歌山製鉄所 ] + description: name of Company found in the text string + Date: + x-name: Date + type: array + example: [ 7日,2023年9月,22年9月 ] + description: name of Date found in the text string + Domestic_Region: + x-name: Domestic_Region + type: array + example: [ 呉製鉄所 ] + description: name of Domestic_Region found in the text string + Material: + x-name: Material + type: array + example: [ 鉄鋼最大手 ] + description: name of Material found in the text string message: type: string example: Successfully Processed From 33c6a5f91943ca5b9503211385b6758b5c4d7a90 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:49:08 +0530 Subject: [PATCH 0091/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 60 +++++++-------------- 1 file changed, 20 insertions(+), 40 deletions(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index 42a687dd9..238887194 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -102,46 +102,26 @@ components: success: type: object properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - - Hubei - - Singapore - - Hubei - - Hubei - - Immigration - description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - ICA.They - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - - Immigration and Checkpoints Authority - - ICA - - LOA - description: "name of organizations names found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure + LOC: + x-name: LOC + type: array + example: [ America,Saudi Arabia,Yemen,Abqaiq ] + description: "name of location found in the text string" + MISC: + x-name: MISC + type: array + example: [ Arabian,American,Saudi ] + description: "name of miscellaneous names found in the text string" + ORG: + x-name: ORG + type: array + example: [ Houthi ] + description: "name of organizations found in the text string" + PER: + x-name: PER + type: array + example: [ DONALD TRUMP,Mike Pompeo ] + description: "name of persons found in the text string" unauthorized: type: object From 731ab17eef00c8061c3a2f7df29ad901d970570f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 14:51:34 +0530 Subject: [PATCH 0092/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index c125ef8e4..f21b68989 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -113,7 +113,6 @@ components: type: array example: [ สหรัฐอเมริ ] description: name of location found in the text string - person: x-name: person type: array From 2ed7814e4b6e38d68bdd17e977c47ef38a462bc8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 16:20:33 +0530 Subject: [PATCH 0093/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index 238887194..35e0734de 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -204,7 +204,14 @@ components: oneOf: - type: string example: Published Date - Nov 25,2019 - description: Initial version release + description: Updated version release v1.0 + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + description: Initial version release input: type: object required: From 5b94eb46fc637c67b643026d13ce96c97f92c2b6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 16:21:27 +0530 Subject: [PATCH 0094/5916] Update named-entity_recognition_jap_v1.0.yaml --- yaml/named-entity_recognition_jap_v1.0.yaml | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_jap_v1.0.yaml b/yaml/named-entity_recognition_jap_v1.0.yaml index 3969e3ee2..ecfafefd9 100644 --- a/yaml/named-entity_recognition_jap_v1.0.yaml +++ b/yaml/named-entity_recognition_jap_v1.0.yaml @@ -222,7 +222,14 @@ components: oneOf: - type: string example: Published Date - May 19,2020 - description: Initial version release + description: Updated version release v1.0 + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 19,2020 + description: Initial version release input: type: object required: From 9192215155ba97a3941ea639b3016cb736e70763 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 16:23:22 +0530 Subject: [PATCH 0095/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index f21b68989..cc42ea4fa 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -189,17 +189,24 @@ components: example: Input Limit Exceeded status: type: string - example: Failure + example: Failure versions: type: object properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 28,2020 + description: Updated version release v1.0 v0.1: type: array items: oneOf: - type: string example: Published Date - Aug 28,2020 - description: Initial version release + description: Initial version release input: type: object required: From 0238b05e0081e2d8a12c81151942bcf1c20f45c9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 16:24:31 +0530 Subject: [PATCH 0096/5916] Update named-entity_recognition_thai.yaml --- yaml/named-entity_recognition_thai.yaml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/yaml/named-entity_recognition_thai.yaml b/yaml/named-entity_recognition_thai.yaml index b8e738ccd..a520675c1 100644 --- a/yaml/named-entity_recognition_thai.yaml +++ b/yaml/named-entity_recognition_thai.yaml @@ -179,6 +179,13 @@ components: versions: type: object properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 28,2020 + description: Updated version release v1.0 v0.1: type: array items: From 20065825cf5cea27cd0117934990da64e1fb4a2d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 16:25:07 +0530 Subject: [PATCH 0097/5916] Update named-entity_recognition_jap.yaml --- yaml/named-entity_recognition_jap.yaml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/yaml/named-entity_recognition_jap.yaml b/yaml/named-entity_recognition_jap.yaml index 51006eeec..129c98a1a 100644 --- a/yaml/named-entity_recognition_jap.yaml +++ b/yaml/named-entity_recognition_jap.yaml @@ -197,6 +197,13 @@ components: versions: type: object properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 19,2020 + description: Updated version release v1.0 v0.1: type: array items: From 5dc3efeaf2726e319153e5e87c53293d0f552f58 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 16:25:52 +0530 Subject: [PATCH 0098/5916] Update named-entity_recognition_eng.yaml --- yaml/named-entity_recognition_eng.yaml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/yaml/named-entity_recognition_eng.yaml b/yaml/named-entity_recognition_eng.yaml index 260332ae5..285777746 100644 --- a/yaml/named-entity_recognition_eng.yaml +++ b/yaml/named-entity_recognition_eng.yaml @@ -202,6 +202,13 @@ components: versions: type: object properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + description: Updated version release v1.0 v0.1: type: array items: From ba88875ddd691d466c103aaa67c2af27bbd5601b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Sep 2020 16:26:48 +0530 Subject: [PATCH 0099/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 1a720f975..21a6dc328 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -215,13 +215,20 @@ components: versions: type: object properties: - v0.1: + v2.0: type: array items: oneOf: - type: string example: Published Date - Jun 18,2018 - description: Initial version release + description: Updated version release v1.0 + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 18,2018 + description: Initial version release securitySchemes: APIAuthorizer: type: apiKey From 6bd39b5e96cfbdaff037a15fd603b4f0ad0440cb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 17:25:27 +0530 Subject: [PATCH 0100/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 73 ++++++++++++++++++++++++-------- 1 file changed, 56 insertions(+), 17 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 21a6dc328..7df4faa0f 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -12,7 +12,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v2.0" - description: "Published Date - Apr 11, 2018" + description: "Published Date - Sep 30, 2020" paths: /microservices/nlp/pageprofiler/v2.0/getpredictions: post: @@ -112,22 +112,61 @@ components: success: type: object properties: - LOC: - type: array - example: ["Beijing","Atlanta","Indonesia"] - description: "name of location found in the text string" - MISC: - type: array - example: [Twiight,Singaporean] - description: "name of miscellaneous names found in the text string" - ORG: - type: array - example: [CNA,Singapore Parliament] - description: "name of organizations found in the text string" - PER: - type: array - example: [Skip Navigation,Bookmarks] - description: "name of persons found in the text string" + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - Sentient.io + - English + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + -Our Clients + -AI + -APIs + -Sentient.io + -Our Technology Partners + -Named Entity Recognition + -Our Investors + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + -Sentient.io + -Speech + -LinkedIn + description: "name of persons names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: From f3fa24ea9f0ce4e0f7526df64c6936530053d2df Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 17:28:41 +0530 Subject: [PATCH 0101/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 7df4faa0f..d962d25de 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -114,7 +114,7 @@ components: properties: results: type: object - example: { "" } + example: description: Json Object of returned results properties: loc: From cedc3e104a6bc09d0be5a3d3ccd2e3a98fb4cd11 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 17:33:08 +0530 Subject: [PATCH 0102/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 49 +------------------------------- 1 file changed, 1 insertion(+), 48 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index d962d25de..84027d75a 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -111,54 +111,7 @@ components: schemas: success: type: object - properties: - results: - type: object - example: - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - Sentient.io - - English - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - -Our Clients - -AI - -APIs - -Sentient.io - -Our Technology Partners - -Named Entity Recognition - -Our Investors - description: "name of organizations names found in the text string" - per: - type: array - items: - type: string - example: - -Sentient.io - -Speech - -LinkedIn - description: "name of persons names found in the text string" + properties: message: type: string example: Successfully Processed From 3c85dda3d9639cc640010d8c55e3c93ed8e4c360 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 17:35:56 +0530 Subject: [PATCH 0103/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 84027d75a..a4961c5da 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -111,7 +111,23 @@ components: schemas: success: type: object - properties: + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + - Hubei + - Singapore + - Hubei + - Hubei + - Immigration + description: "name of location found in the text string" message: type: string example: Successfully Processed From 8dddc47284ce9806661278df4f0327f1108a6380 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 17:39:54 +0530 Subject: [PATCH 0104/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index a4961c5da..5ed2fd1af 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -127,7 +127,23 @@ components: - Hubei - Hubei - Immigration - description: "name of location found in the text string" + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - ICA.They + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + - Immigration and Checkpoints Authority + - ICA + - LOA + description: "name of organizations names found in the text string" message: type: string example: Successfully Processed From 60519ab2077acfbf98d87fe9fe42f183267f313f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 17:53:41 +0530 Subject: [PATCH 0105/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 5ed2fd1af..aab9de249 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -244,7 +244,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 18,2018 + example: Published Date - Sep 30, 2020 description: Updated version release v1.0 v1.0: type: array From 2d7e9f25b85412aefde73a4620af40aca179781e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 17:54:50 +0530 Subject: [PATCH 0106/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index aab9de249..36cef57b0 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -245,7 +245,7 @@ components: oneOf: - type: string example: Published Date - Sep 30, 2020 - description: Updated version release v1.0 + description: Updated version release v2.0 v1.0: type: array items: From 833dc319193339b16590567b0a7cb62629f5f3d8 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 23:44:46 +1000 Subject: [PATCH 0107/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 47ffd3d26..7af9bcf3e 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -644,10 +644,7 @@ components: ENQUIRY: type: object example: |+ - - 197601887E - TRANSTAR TRAVEL PTE LTD - + 197601887ETRANSTAR TRAVEL PTE LTD description: Contains information of each request details default: true properties: From 9ad6823cc84bf956f3edd8ee10324fd399630375 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 19:22:32 +0530 Subject: [PATCH 0108/5916] Update spacy_named-entity_recognition_eng.yaml --- yaml/spacy_named-entity_recognition_eng.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/yaml/spacy_named-entity_recognition_eng.yaml b/yaml/spacy_named-entity_recognition_eng.yaml index 9f97de1d3..8aec255a0 100644 --- a/yaml/spacy_named-entity_recognition_eng.yaml +++ b/yaml/spacy_named-entity_recognition_eng.yaml @@ -4,7 +4,8 @@ info: description: |+ This NLP microservice locates and classifies the named-entities classes from input unstructured English text. - The named-entity classes extracted are PERSON,NORP,FAC,ORG,GPE,LOC,PRODUCT,EVENT,WORK_OF_ART,LAW,LANGUAGE,DATE,TIME,PERCENT,MONEY,QUANTITY,ORDINAL,CARDINAL + The named-entity classes extracted are + PERSON,NORP,FAC,ORG,GPE,LOC,PRODUCT,EVENT,WORK_OF_ART,LAW,LANGUAGE,DATE,TIME,PERCENT,MONEY,QUANTITY,ORDINAL,CARDINAL This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '0.1' From 7312a365756aac0694e8427a03cdb22fc39a35af Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Sep 2020 23:52:54 +1000 Subject: [PATCH 0109/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 7af9bcf3e..68eca0728 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -250,7 +250,12 @@ components: example: description: |+ Request criteria & search record with following children: - COMP_NAME REG_NO REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR properties: COMP_NAME: type: string From 0c3ce0c190a46d06a3dda131fd7967bcf5238e5e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 19:23:56 +0530 Subject: [PATCH 0110/5916] Update spacy_named-entity_recognition_eng.yaml --- yaml/spacy_named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/spacy_named-entity_recognition_eng.yaml b/yaml/spacy_named-entity_recognition_eng.yaml index 8aec255a0..cb1126044 100644 --- a/yaml/spacy_named-entity_recognition_eng.yaml +++ b/yaml/spacy_named-entity_recognition_eng.yaml @@ -5,7 +5,7 @@ info: This NLP microservice locates and classifies the named-entities classes from input unstructured English text. The named-entity classes extracted are - PERSON,NORP,FAC,ORG,GPE,LOC,PRODUCT,EVENT,WORK_OF_ART,LAW,LANGUAGE,DATE,TIME,PERCENT,MONEY,QUANTITY,ORDINAL,CARDINAL + PERSON, NORP, FAC, ORG, GPE, LOC, PRODUCT, EVENT, WORK_OF_ART, LAW, LANGUAGE, DATE, TIME, PERCENT, MONEY, QUANTITY, ORDINAL, CARDINAL This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '0.1' From 49a35e798d2e3509ae0e2b2c0fd599c12fb0b0a5 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 00:08:30 +1000 Subject: [PATCH 0111/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 52 +++++++++++++++---- 1 file changed, 43 insertions(+), 9 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 68eca0728..8f9bd8ce3 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -88,7 +88,21 @@ components: example: description: |+ Report details with following children: - [META_INFO] [REGISTRY_DETAIL] [REQ_SEARCH_INFO] [EMPLOYEE_SIZE] [LIST_BIZ_BRANCH] [LIST_REG_CHARGES] [LIST_LIQUIDATOR] [LIST_WINDING_UP] [LIST_LITIGATION] [LIST_SHARE_INTEREST_COMP] [LIST_NAME_CHANGE] [LIST_SHAREHOLDER] [LIST_CAPITAL] [LIST_OFFICER_OWNER] [LIST_SALES_REVENUE_AMOUNT] + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_WINDING_UP] + [LIST_LITIGATION] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] properties: META_INFO: type: object @@ -283,8 +297,11 @@ components: example: "08/04/2009 11:36:03" EMPLOYEE_SIZE : type: object - description: Employee Size Details - example: ELEMENTS AMOUNT + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: properties: ELEMENTS: type: string @@ -296,13 +313,19 @@ components: example: "300" LIST_BIZ_BRANCH : type: object - description: List of Business Branches - example: "[BIZ_BRANCH]" + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: properties: BIZ_BRANCH : type: object - description: Business Branches - example: ADDR_BUILDING ADDR_POSTCODE ADDR_ADDRESS1 + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: properties: REQADDR_BUILDING: type: string @@ -318,12 +341,23 @@ components: example: LIST_REG_CHARGES: type: array - description: List of Registered Charges - example: "[REG_CHARGES]" + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: items: properties: REG_CHARGES : type: object + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: properties: CHARGE_NO : type: string From bc6bddadfa97471f9507a6c0bf9d60b69c102683 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 19:47:05 +0530 Subject: [PATCH 0112/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 64 ++++++++++++++------- 1 file changed, 42 insertions(+), 22 deletions(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index 35e0734de..0c3d0c930 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -12,7 +12,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0" - description: "Published Date - Nov 25, 2019" + description: "Published Date - Sep 30, 2020" paths: /microservices/nlp/namedentityrecognition/v1.0/getpredictions: post: @@ -102,26 +102,46 @@ components: success: type: object properties: - LOC: - x-name: LOC - type: array - example: [ America,Saudi Arabia,Yemen,Abqaiq ] - description: "name of location found in the text string" - MISC: - x-name: MISC - type: array - example: [ Arabian,American,Saudi ] - description: "name of miscellaneous names found in the text string" - ORG: - x-name: ORG - type: array - example: [ Houthi ] - description: "name of organizations found in the text string" - PER: - x-name: PER - type: array - example: [ DONALD TRUMP,Mike Pompeo ] - description: "name of persons found in the text string" + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + - Hubei + - Singapore + - Hubei + - Hubei + - Immigration + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - ICA.They + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + - Immigration and Checkpoints Authority + - ICA + - LOA + description: "name of organizations names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object @@ -203,7 +223,7 @@ components: items: oneOf: - type: string - example: Published Date - Nov 25,2019 + example: Published Date - Sep 30, 2020 description: Updated version release v1.0 v0.1: type: array From dc06e93fcf330e4ad0f88e78838216b7cb63e34a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 00:47:38 +1000 Subject: [PATCH 0113/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 151 +++++++++++++++--- 1 file changed, 130 insertions(+), 21 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 8f9bd8ce3..3db85f537 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -327,7 +327,7 @@ components: ADDR_ADDRESS1 example: properties: - REQADDR_BUILDING: + ADDR_BUILDING: type: string description: Building Name example: @@ -361,92 +361,201 @@ components: properties: CHARGE_NO : type: string + description: Charge No. + example: CHARGE_DATE: type: string + description: Charge Date + example: CHARGEE_COMP: type: string + description: Charges Company + example: CURRENCY: type: string + description: Currency + example: AMT_SECURED: type: string + description: Amount Secured + example: STATUS_SATISFACTION: type: string + description: Status of Satisfaction + example: LIST_LIQUIDATOR: type: array - description: List of Liquidator / Receiver / Judicial Manager - example: "[LIQUIDATOR]" + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: items: properties: LIQUIDATOR : type: object + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE properties: - LIQ_NAME : + LIQ_POSITION: type: string + description: Liquidator / Receiver / Judicial Manager Position + example: LIQ_ID: type: string - LIQ_POSITION: + description: Liquidator / Receiver / Judicial Manager ID + example: + LIQ_NAME : type: string + description: Liquidator / Receiver / Judicial Manager Name + example: LIQ_COMP: type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: LIQ_ADDRESS1: type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: LIQ_ADDRESS2: - type: string + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: LIQ_ADDRESS3: type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: LIQ_ADDRESS4: type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: LIQ_APPOINTMENT_DATE: - type: string + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: LIST_WINDING_UP : type: array - description: List of Winding Up - example: "[WINDING_UP]" + description: |+ + List of Winding Up with following children: + [WINDING_UP] + example: items: properties: WINDING_UP : type: object + description: |+ + Winding Up details with following children: + CASE_CODE + CASE_YEAR + PLAINTIFF + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_LAW_FIRM + SUBJECT_NAME + COURT_CODE + CASE_TYPE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + PLA_SOLICITOR + example: properties: CASE_CODE : type: string + description: Case Code + example: CASE_YEAR : type: string + description: Case Year + example: PLAINTIFF : type: string + description: Plaintiff Name + example: PLA_SOLICITOR_ID : type: string + description: Pla. Solicitor ID + example: PLA_FILE_REF : type: string + description: Pla. File Ref. + example: + PLA_LAW_FIRM : + type: string + description: Pla. Law Firm + example: + SUBJECT_NAME : + type: string + description: Subject Name + example: COURT_CODE : - type: string + type: string + description: Court Code + example: CASE_TYPE : type: string + description: Case Type + example: CURRENCY1 : type: string + description: Currency 1 + example: + AMOUNT1 : + type: string + description: Amount 1 + example: CURRENCY2 : - type: string + type: string + description: Currency 2 + example: AMOUNT2 : type: string + description: Amount 2 + example: CURRENCY3 : type: string + description: Currency 3 + example: AMOUNT3 : type: string + description: Amount 3 + example: + ACTION_DATE : + type: string + description: Action Date + example: BANKRUPTCY_ACT : type: string + description: Act of Bankruptcy + example: HEARING_DATE : type: string - ACTION_DATE : - type: string - SUBJECT_NAME : - type: string - PLA_SOLICITOR : + description: Hearing Date + example: + PLA_SOLICITOR : type: string - PLA_LAW_FIRM : - type: string + description: Pla. Solicitor + example: LIST_LITIGATION : type: array - description: List of Winding Up - example: "[WINDING_UP]" + description: |+ + List of Winding Up with following children: + [LITIGATION] + example: items: properties: LITIGATION : @@ -482,7 +591,7 @@ components: PLA_ID PLA_STATUS PLA_STATUS_DATE - example: "" + example: properties: SUBJECT_NAME : type: string From 6afaad9db67cbb36527f7041508bf301e6940306 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 00:56:15 +1000 Subject: [PATCH 0114/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 58 +++++++++++++++++++ 1 file changed, 58 insertions(+) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 3db85f537..e25821275 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -709,6 +709,64 @@ components: type: string example: "17/10/2016" description: Plaintiff Status Date + LIST_SHARE_INTEREST_COMP : + type: array + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: + properties: + COMP_NAME : + type: string + description: Company Name + example: + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: + STATUS : + type: string + description: Status + example: + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: + properties: + PREV_NAME : + type: string + description: Previous Name + example: + EFFECT_DATE : + type: string + description: Effective Date + example: unauthorized: type: object properties: From fa36bf843db4bbdf1ba591a04b187c049677ab0d Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 01:05:28 +1000 Subject: [PATCH 0115/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 103 ++++++++++++++++++ 1 file changed, 103 insertions(+) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index e25821275..80cc947df 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -767,6 +767,109 @@ components: type: string description: Effective Date example: + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: + items: + properties: + SHAREHOLDER : + type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: + properties: + ADDRESS : + type: string + description: Address + example: + COMP_ID : + type: string + description: Company/ Identity No. + example: + NO_OF_SHARE : + type: string + description: No. of Shares + example: + CURRENCY : + type: string + description: Currency + example: + SHAREHOLDER_TYPE : + type: string + description: Indicator for Shareholder type + example: + SHARE_TYPE : + type: string + description: Share Type + example: + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: + NATIONALITY : + type: string + description: Nationality + example: + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: + CAPITAL_TYPE : + type: string + description: Capital Type + example: + CURRENCY : + type: string + description: Currency + example: + CAPITAL_AMT : + type: string + description: Capital Amount + example: + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: unauthorized: type: object properties: From 88e62ba801188deeb7868399fc0086afcc701851 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 20:40:40 +0530 Subject: [PATCH 0116/5916] Update named-entity_recognition_jap_v1.0.yaml --- yaml/named-entity_recognition_jap_v1.0.yaml | 90 +++++++++++++++------ 1 file changed, 67 insertions(+), 23 deletions(-) diff --git a/yaml/named-entity_recognition_jap_v1.0.yaml b/yaml/named-entity_recognition_jap_v1.0.yaml index ecfafefd9..8c466656d 100644 --- a/yaml/named-entity_recognition_jap_v1.0.yaml +++ b/yaml/named-entity_recognition_jap_v1.0.yaml @@ -12,7 +12,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0" - description: "Published Date - May 19, 2020" + description: "Published Date - Sep 30, 2020" paths: /microservices/nlp/japanesener/v1.0/getpredictions: post: @@ -113,26 +113,70 @@ components: success: type: object properties: - Company: - x-name: Company - type: array - example: [ 和歌山製鉄所 ] - description: name of Company found in the text string - Date: - x-name: Date - type: array - example: [ 7日,2023年9月,22年9月 ] - description: name of Date found in the text string - Domestic_Region: - x-name: Domestic_Region - type: array - example: [ 呉製鉄所 ] - description: name of Domestic_Region found in the text string - Material: - x-name: Material - type: array - example: [ 鉄鋼最大手 ] - description: name of Material found in the text string + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + age: + type: array + items: + type: string + example: + - 56 + countx_other: + type: array + items: + type: string + example: + - 2稿 + - 8口 + doctrine_method_other: + type: array + items: + type: string + example: + - 険所コホ特室りょ + n_event: + type: array + items: + type: string + example: + - 受1 + numex_other: + type: array + items: + type: string + example: + - 受1 + ordinal_number: + type: array + items: + type: string + example: + -30弾 + person: + type: array + items: + type: string + example: + - person + - 壮 + - 琢紫 + - ナユ + product_other: + type: array + items: + type: string + example: + - 都合ヘラアニ限 + - 議帳 + show_organization: + type: array + items: + type: string + example: + - 左成相態 message: type: string example: Successfully Processed @@ -140,7 +184,7 @@ components: status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call success/failure unauthorized: type: object properties: @@ -221,7 +265,7 @@ components: items: oneOf: - type: string - example: Published Date - May 19,2020 + example: Published Date - Sep 30,2020 description: Updated version release v1.0 v0.1: type: array From 312e4babba7cebfbb48fcc3279f5e3b16784a96a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 20:48:39 +0530 Subject: [PATCH 0117/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 56 +++++++++++++++----- 1 file changed, 44 insertions(+), 12 deletions(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index cc42ea4fa..6e02c73b6 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -12,7 +12,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0" - description: "Published Date - Aug 28, 2020" + description: "Published Date - Sep 30, 2020" paths: /microservices/nlp/thainer/v1.0/getpredictions: post: @@ -108,16 +108,48 @@ components: success: type: object properties: - location: - x-name: location - type: array - example: [ สหรัฐอเมริ ] - description: name of location found in the text string - person: - x-name: person - type: array - example: [ ประธานาธิบดีทร ] - description: name of person found in the text string + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + law: + type: array + items: + type: string + example: + -รัฐธรรมนูญ + location: + type: array + items: + type: string + example: + -ประเทศไทย + -มาเลเซีย + -ทะเลอันดามัน + -กรุงเทพมหานคร + -อินโดนีเซีย + -ราชอาณาจักรไทย + -อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + -ลาวทางทิศตะวันออกติดกับลาว + -เอเชียตะวันออกเฉียงใต้ + -เวียดนาม + -ประเทศพม่า + -กัมพูชาทางทิศใต้ติดกับอ่าว + organization: + type: array + items: + type: string + example: + - รัฐสภา + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -198,7 +230,7 @@ components: items: oneOf: - type: string - example: Published Date - Aug 28,2020 + example: Published Date - Sep 30,2020 description: Updated version release v1.0 v0.1: type: array From 70f2702b7582f59dc5236047d05315b15073f96e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 20:52:08 +0530 Subject: [PATCH 0118/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 26 ++++++++++---------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index 6e02c73b6..e145ef5b2 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -123,19 +123,19 @@ components: type: array items: type: string - example: - -ประเทศไทย - -มาเลเซีย - -ทะเลอันดามัน - -กรุงเทพมหานคร - -อินโดนีเซีย - -ราชอาณาจักรไทย - -อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ - -ลาวทางทิศตะวันออกติดกับลาว - -เอเชียตะวันออกเฉียงใต้ - -เวียดนาม - -ประเทศพม่า - -กัมพูชาทางทิศใต้ติดกับอ่าว + example: + -ประเทศไทย + -มาเลเซีย + -ทะเลอันดามัน + -กรุงเทพมหานคร + -อินโดนีเซีย + -ราชอาณาจักรไทย + -อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + -ลาวทางทิศตะวันออกติดกับลาว + -เอเชียตะวันออกเฉียงใต้ + -เวียดนาม + -ประเทศพม่า + -กัมพูชาทางทิศใต้ติดกับอ่าว organization: type: array items: From c7cae975acda1a8a3001cef35970ad2379f103f5 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 01:22:28 +1000 Subject: [PATCH 0119/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 208 ++++++++++++++++++ 1 file changed, 208 insertions(+) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 80cc947df..84ab1bb1c 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -870,6 +870,214 @@ components: type: string description: Nos. of Shares example: + LIST_OFFICER_OWNER : + type: array + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: + items: + properties: + OFFICER_OWNER : + type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: + properties: + ADDRESS : + type: string + description: Address + example: + IDENTITY_ID : + type: string + description: Identity No. + example: + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: + POSITION : + type: string + description: Position + example: + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: + CESSATION_DATE : + type: string + description: Cessation Date + example: + OFFICER_NAME : + type: string + description: Officer Name + example: + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: + APPMT_DATE : + type: string + description: Appointment Date + example: + NATIONALITY : + type: string + description: Nationality + example: + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: + properties: + ELEMENTS : + type: string + description: Description + example: + YEAR : + type: string + description: Year + example: + CURRENCY : + type: string + description: Currency + example: + AMOUNT : + type: string + description: Amount + example: + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: + RcFlag : + type: string + description: Internal database value + example: + Rcjan : + type: string + description: Count for January + example: + Rcfeb : + type: string + description: Count for February + example: + Rcmar : + type: string + description: Count for March + example: + Rcapr : + type: string + description: Count for April + example: + Rcmay : + type: string + description: Count for May + example: + Rcjun : + type: string + description: Count for June + example: + Rcjul : + type: string + description: Count for July + example: + Rcaug : + type: string + description: Count for August + example: + Rcsep : + type: string + description: Count for September + example: + Rcoct : + type: string + description: Count for October + example: + Rcnov : + type: string + description: Count for November + example: + Rcdec : + type: string + description: Count for December + example: + Rcid : + type: string + description: Internal database value + example: + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: Product Type + example: + Rcsecflag : + type: string + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: + LastUpdateDate : + type: string + description: Last update date + example: unauthorized: type: object properties: From aa347de55cbcecf81424d348a3494603f507b2ab Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 20:58:47 +0530 Subject: [PATCH 0120/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 32 +------------------- 1 file changed, 1 insertion(+), 31 deletions(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index e145ef5b2..fc52c2061 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -119,37 +119,7 @@ components: type: string example: -รัฐธรรมนูญ - location: - type: array - items: - type: string - example: - -ประเทศไทย - -มาเลเซีย - -ทะเลอันดามัน - -กรุงเทพมหานคร - -อินโดนีเซีย - -ราชอาณาจักรไทย - -อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ - -ลาวทางทิศตะวันออกติดกับลาว - -เอเชียตะวันออกเฉียงใต้ - -เวียดนาม - -ประเทศพม่า - -กัมพูชาทางทิศใต้ติดกับอ่าว - organization: - type: array - items: - type: string - example: - - รัฐสภา - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure + unauthorized: type: object properties: From e41a484153cfa82ee938b86321eff824537b369e Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 01:28:52 +1000 Subject: [PATCH 0121/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 193 +++++++++++++++++- 1 file changed, 192 insertions(+), 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 84ab1bb1c..a9d312c5f 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -27,7 +27,198 @@ paths: schema: $ref: '#/components/schemas/success' example: |+ - example + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 300 + + + + + + + + + + + + + + + + + + + + + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + ANGELA ANG + S1633336D + Liquidator + KING FINANCIAL ADVISORY SERVICES LEVEL 17 MLC CENTRE 19029 MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA 18/02/2009 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + + + + + + + + + + + + + + + + + + + + +
+ + + + + + +
+ + + + + + + + + 30000.00 + + 28000.00 + + 27,000.00 + + '401': description: Unauthorized content: From ffdb4a19fc77dd4fa94fddb64d0fb0b944fa2d04 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:00:44 +0530 Subject: [PATCH 0122/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index fc52c2061..650342b52 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -118,7 +118,7 @@ components: items: type: string example: - -รัฐธรรมนูญ + -รัฐธรรมนูญ unauthorized: type: object From 2cfa75c6335911702c611507e66e52a03b7b115e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:01:51 +0530 Subject: [PATCH 0123/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index 650342b52..fcd654cd9 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -118,7 +118,7 @@ components: items: type: string example: - -รัฐธรรมนูญ + -รัฐธรรมนูญ unauthorized: type: object From 52ce3ba4aacb8aed54124e31943f9b959c1f3046 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:02:42 +0530 Subject: [PATCH 0124/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 25 +++++++++++++++++++- 1 file changed, 24 insertions(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index fcd654cd9..a0649d226 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -118,7 +118,30 @@ components: items: type: string example: - -รัฐธรรมนูญ + -รัฐธรรมนูญ + location: + type: array + items: + type: string + example: + -ประเทศไทย + -มาเลเซีย + -ทะเลอันดามัน + -กรุงเทพมหานคร + -อินโดนีเซีย + -ราชอาณาจักรไทย + -อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + -ลาวทางทิศตะวันออกติดกับลาว + -เอเชียตะวันออกเฉียงใต้ + -เวียดนาม + -ประเทศพม่า + -กัมพูชาทางทิศใต้ติดกับอ่าว + organization: + type: array + items: + type: string + example: + - รัฐสภา unauthorized: type: object From e1d12164325e40c7f400d097e8b26032024c2b95 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:04:16 +0530 Subject: [PATCH 0125/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 30 ++++++++++---------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index a0649d226..d510b0a2a 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -47,7 +47,7 @@ paths: - รัฐสภา status: Success์ - '401': + '401':- รัฐสภา description: Unauthorized content: application/json: @@ -118,30 +118,30 @@ components: items: type: string example: - -รัฐธรรมนูญ + - รัฐธรรมนูญ location: type: array items: type: string example: - -ประเทศไทย - -มาเลเซีย - -ทะเลอันดามัน - -กรุงเทพมหานคร - -อินโดนีเซีย - -ราชอาณาจักรไทย - -อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ - -ลาวทางทิศตะวันออกติดกับลาว - -เอเชียตะวันออกเฉียงใต้ - -เวียดนาม - -ประเทศพม่า - -กัมพูชาทางทิศใต้ติดกับอ่าว + - ประเทศไทย + - มาเลเซีย + - ทะเลอันดามัน + - กรุงเทพมหานคร + - อินโดนีเซีย + - ราชอาณาจักรไทย + - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + - ลาวทางทิศตะวันออกติดกับลาว + - เอเชียตะวันออกเฉียงใต้ + - เวียดนาม + - ประเทศพม่า + - กัมพูชาทางทิศใต้ติดกับอ่าวไทย organization: type: array items: type: string example: - - รัฐสภา + - รัฐสภา unauthorized: type: object From 293176583b5971c7fbae8aaf5e62a3a5a306f5de Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 01:34:55 +1000 Subject: [PATCH 0126/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index a9d312c5f..0a11e7833 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -297,7 +297,13 @@ components: properties: META_INFO: type: object - example: + example: |+ + + + + + + description: |+ Meta Information details with following children: SERVICE From 07f46d6c71dcfc02bf7202c64bdf523f98e9a5f6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:08:28 +0530 Subject: [PATCH 0127/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index d510b0a2a..cbb39ffe2 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -45,9 +45,9 @@ paths: - กัมพูชาทางทิศใต้ติดกับอ่าวไทย organization: - รัฐสภา - status: Success์ + status: Success - '401':- รัฐสภา + '401': description: Unauthorized content: application/json: From 975a9e8f11b13cf626c2f8c96bccf78816311f86 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:09:54 +0530 Subject: [PATCH 0128/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index cbb39ffe2..9740e9caf 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -46,7 +46,6 @@ paths: organization: - รัฐสภา status: Success - '401': description: Unauthorized content: From b5ae92a32e703cbd2a3dfe9d9aa21fe2fd258199 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:12:31 +0530 Subject: [PATCH 0129/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index 9740e9caf..4d428dcab 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -141,7 +141,14 @@ components: type: string example: - รัฐสภา - + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: From f4e0f0861094bd1c58db337b3fead566a0e47fad Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 01:45:26 +1000 Subject: [PATCH 0130/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 129 ++++++++++++++---- 1 file changed, 104 insertions(+), 25 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 0a11e7833..74ead6f80 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -69,7 +69,7 @@ paths: - + @@ -334,7 +334,28 @@ components: example: N/A REGISTRY_DETAIL : type: object - example: + example: |+ + + + + + + + + + + + + + + + + + + + + + description: |+ Registry Details with following children: RENEWAL_DATE @@ -458,7 +479,13 @@ components: example: "SINGAPORE" REQ_SEARCH_INFO : type: object - example: + example: |+ + + + + + + description: |+ Request criteria & search record with following children: COMP_NAME @@ -498,7 +525,11 @@ components: Employee Size details with following children: ELEMENTS AMOUNT - example: + example: |+ + + + 300 + properties: ELEMENTS: type: string @@ -513,7 +544,13 @@ components: description: |+ List of Business Branches with following children: [BIZ_BRANCH] - example: + example: |+ + + + + + + properties: BIZ_BRANCH : type: object @@ -522,7 +559,12 @@ components: ADDR_BUILDING ADDR_POSTCODE ADDR_ADDRESS1 - example: + example: |+ + + + + + properties: ADDR_BUILDING: type: string @@ -531,17 +573,26 @@ components: ADDR_POSTCODE: type: string description: Postcode - example: + example: 289848 ADDR_ADDRESS1: type: string description: Address - example: + example: 251A ARCADIA ROAD LIST_REG_CHARGES: type: array description: |+ List of Registered Charges with following children: [REG_CHARGES] - example: + example: |+ + + + + + + + + + items: properties: REG_CHARGES : @@ -554,28 +605,36 @@ components: CURRENCY AMT_SECURED STATUS_SATISFACTION - example: + example: |+ + + + + + + + + properties: CHARGE_NO : type: string description: Charge No. - example: + example: 8205117 CHARGE_DATE: type: string description: Charge Date - example: + example: 26/11/1982 CHARGEE_COMP: type: string description: Charges Company - example: + example: UNITED OVERSEAS BANK LIMITED CURRENCY: type: string description: Currency - example: + example: AMT_SECURED: type: string description: Amount Secured - example: + example: 1000.00 STATUS_SATISFACTION: type: string description: Status of Satisfaction @@ -585,7 +644,15 @@ components: description: |+ List of Liquidator / Receiver / Judicial Manager with following children: [LIQUIDATOR] - example: + example: |+ + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + items: properties: LIQUIDATOR : @@ -601,43 +668,55 @@ components: LIQ_ADDRESS3 LIQ_ADDRESS4 LIQ_APPOINTMENT_DATE + example: |+ + + ABUTHAHIR ABDUL GAFOOR + S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + 1 RAFFLES PLACE + #20-01 + OUB CENTRE + SINGAPORE 048616 + 30/03/2009 + properties: LIQ_POSITION: type: string description: Liquidator / Receiver / Judicial Manager Position - example: + example: Liquidator LIQ_ID: type: string description: Liquidator / Receiver / Judicial Manager ID - example: + example: S1676216D LIQ_NAME : type: string description: Liquidator / Receiver / Judicial Manager Name - example: + example: ABUTHAHIR ABDUL GAFOOR LIQ_COMP: type: string description: Liquidator / Receiver / Judicial Manager Company Name - example: + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. LIQ_ADDRESS1: type: string description: Liquidator / Receiver / Judicial Manager Address 1 - example: + example: 1 RAFFLES PLACE LIQ_ADDRESS2: type: string description: Liquidator / Receiver / Judicial Manager Address 2 - example: + example: #20-01 LIQ_ADDRESS3: type: string description: Liquidator / Receiver / Judicial Manager Address 3 - example: + example: OUB CENTRE LIQ_ADDRESS4: type: string description: Liquidator / Receiver / Judicial Manager Address 4 - example: + example: SINGAPORE 048616 LIQ_APPOINTMENT_DATE: type: string description: Liquidator / Receiver / Judicial Manager Appointment Date - example: + example: 30/03/2009 LIST_WINDING_UP : type: array description: |+ From 2a1d88829a93f533082097c0cac6a3cb882fe83e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:20:24 +0530 Subject: [PATCH 0131/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 37 ++++++++++++++++++++++---------- 1 file changed, 26 insertions(+), 11 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 36cef57b0..97d666d84 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -122,28 +122,43 @@ components: items: type: string example: - - Hubei - - Singapore - - Hubei - - Hubei - - Immigration - description: "name of location found in the text string" + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" misc: type: array items: type: string example: - - ICA.They + - Sentient.io + - English description: "name of miscellaneous names found in the text string" org: type: array items: type: string example: - - Immigration and Checkpoints Authority - - ICA - - LOA - description: "name of organizations names found in the text string" + -Our Clients + -AI + -APIs + -Sentient.io + -Our Technology Partners + -Named Entity Recognition + -Our Investors + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + -Sentient.io + -Speech + -LinkedIn + description: "name of persons names found in the text string" message: type: string example: Successfully Processed From 8de969c0c66f80851501f0632af3bd3cab2812a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:27:33 +0530 Subject: [PATCH 0132/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 97d666d84..91ae9f3a4 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -149,7 +149,7 @@ components: -Our Technology Partners -Named Entity Recognition -Our Investors - description: "name of organizations names found in the text string" + description: "name of organizations names found in the text string" per: type: array items: @@ -158,7 +158,7 @@ components: -Sentient.io -Speech -LinkedIn - description: "name of persons names found in the text string" + description: "name of persons names found in the text string" message: type: string example: Successfully Processed From 770522474943316dd38471099b635bdf2a5f53d7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:29:57 +0530 Subject: [PATCH 0133/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 38 -------------------------------- 1 file changed, 38 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 91ae9f3a4..29befd938 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -129,44 +129,6 @@ components: -CONTACT -Join description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - Sentient.io - - English - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - -Our Clients - -AI - -APIs - -Sentient.io - -Our Technology Partners - -Named Entity Recognition - -Our Investors - description: "name of organizations names found in the text string" - per: - type: array - items: - type: string - example: - -Sentient.io - -Speech - -LinkedIn - description: "name of persons names found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure unauthorized: type: object properties: From 86d947a5184fda7f45403ae8e7268353c5f4a3d4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:33:00 +0530 Subject: [PATCH 0134/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 34 ++++++++++++++++---------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 29befd938..2936c9871 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -112,23 +112,23 @@ components: success: type: object properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" unauthorized: type: object properties: From 3cf07112cff2f817cf27c0b98bfcb60706c599ec Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:35:26 +0530 Subject: [PATCH 0135/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 39 ++++++++++++++++---------------- 1 file changed, 19 insertions(+), 20 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 2936c9871..83393e220 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -109,26 +109,25 @@ paths: required: true components: schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" + success: + type: object + properties: + LOC: + type: array + example: ["Beijing","Atlanta","Indonesia"] + description: "name of location found in the text string" + MISC: + type: array + example: [Twiight,Singaporean] + description: "name of miscellaneous names found in the text string" + ORG: + type: array + example: [CNA,Singapore Parliament] + description: "name of organizations found in the text string" + PER: + type: array + example: [Skip Navigation,Bookmarks] + description: "name of persons found in the text string" unauthorized: type: object properties: From 47845d302538828235a5ae92bd3c3ec59fe686af Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:39:51 +0530 Subject: [PATCH 0136/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 14 +------------- 1 file changed, 1 insertion(+), 13 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 83393e220..acd0a4762 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -108,7 +108,7 @@ paths: $ref: '#/components/schemas/input' required: true components: - schemas: + schemas: success: type: object properties: @@ -116,18 +116,6 @@ components: type: array example: ["Beijing","Atlanta","Indonesia"] description: "name of location found in the text string" - MISC: - type: array - example: [Twiight,Singaporean] - description: "name of miscellaneous names found in the text string" - ORG: - type: array - example: [CNA,Singapore Parliament] - description: "name of organizations found in the text string" - PER: - type: array - example: [Skip Navigation,Bookmarks] - description: "name of persons found in the text string" unauthorized: type: object properties: From 614989a187576919f5c07fdd419290b0578c9721 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:46:58 +0530 Subject: [PATCH 0137/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 401 +++++++++++++++++-------------- 1 file changed, 219 insertions(+), 182 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index acd0a4762..fba85e823 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -1,31 +1,31 @@ -openapi: 3.0.1 -info: - title: Page Profiler ENG Updated - description: |+ - This NLP microservice retrieves web content in English from the input URL. + openapi: 3.0.1 + info: + title: Page Profiler ENG Updated + description: |+ + This NLP microservice retrieves web content in English from the input URL. - From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - version: '2.0' -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v2.0" - description: "Published Date - Sep 30, 2020" -paths: - /microservices/nlp/pageprofiler/v2.0/getpredictions: - post: - tags: - - v2.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '2.0' + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v2.0" + description: "Published Date - Apr 11, 2018" + paths: + /microservices/nlp/pageprofiler/v2.0/getpredictions: + post: + tags: + - v2.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: message: Successfully Processed results: loc: @@ -50,145 +50,198 @@ paths: - Sentient.io - Speech - LinkedIn - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: content: application/json: schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: + $ref: '#/components/schemas/input' + required: true + components: schemas: success: type: object properties: - LOC: - type: array - example: ["Beijing","Atlanta","Indonesia"] - description: "name of location found in the text string" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - Sentient.io + - English + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + -Our Clients + -AI + -APIs + -Sentient.io + -Our Technology Partners + -Named Entity Recognition + -Our Investors + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + -Sentient.io + -Speech + -LinkedIn + description: "name of persons names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + + input: type: object required: - url @@ -200,27 +253,11 @@ components: example: https://www.sentient.io/en/ description: |+ Input url - versions: - type: object - properties: - v2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - description: Updated version release v2.0 - v1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 18,2018 - description: Initial version release - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 7bd2a625895ce9cf140b868580901aea985da9bf Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:49:45 +0530 Subject: [PATCH 0138/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index fba85e823..49e1d9882 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -167,7 +167,6 @@ type: string example: Success description: The status of the API call success/failure - unauthorized: type: object properties: From 87246f22401016a0779d7972a70dd021280eb210 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:52:21 +0530 Subject: [PATCH 0139/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 44 -------------------------------- 1 file changed, 44 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 49e1d9882..471bd8129 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -123,50 +123,6 @@ type: string example: -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - Sentient.io - - English - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - -Our Clients - -AI - -APIs - -Sentient.io - -Our Technology Partners - -Named Entity Recognition - -Our Investors - description: "name of organizations names found in the text string" - per: - type: array - items: - type: string - example: - -Sentient.io - -Speech - -LinkedIn - description: "name of persons names found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure unauthorized: type: object properties: From c6f6c35ec5ceca43ece3eaabd22f6ce4cd78be06 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Sep 2020 21:53:18 +0530 Subject: [PATCH 0140/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 471bd8129..074c2a96b 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -123,6 +123,12 @@ type: string example: -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" unauthorized: type: object properties: From 0c3e81e365dc03438f1d588f9f0eab0be6607fe1 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 02:30:44 +1000 Subject: [PATCH 0141/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 352 ++++++++++++++---- 1 file changed, 273 insertions(+), 79 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 74ead6f80..0c15822cd 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -722,7 +722,27 @@ components: description: |+ List of Winding Up with following children: [WINDING_UP] - example: + example: |+ + + + + + + + + + + + + + + + + + + + + items: properties: WINDING_UP : @@ -748,16 +768,35 @@ components: BANKRUPTCY_ACT HEARING_DATE PLA_SOLICITOR - example: + example: |+ + + + + + + + + + + + + + + + + + + + properties: CASE_CODE : type: string description: Case Code - example: + example: 40000 CASE_YEAR : type: string description: Case Year - example: + example: 1999 PLAINTIFF : type: string description: Plaintiff Name @@ -773,35 +812,35 @@ components: PLA_LAW_FIRM : type: string description: Pla. Law Firm - example: + example: NAME2 SUBJECT_NAME : type: string description: Subject Name - example: + example: PROACTIVE BUILDERS COURT_CODE : type: string description: Court Code - example: + example: CWU CASE_TYPE : type: string description: Case Type - example: + example: COMPANY WINDING UP PETITION CURRENCY1 : type: string description: Currency 1 - example: + example: SGD AMOUNT1 : type: string description: Amount 1 - example: + example: 41,424.52 CURRENCY2 : type: string description: Currency 2 - example: + example: MYR AMOUNT2 : type: string description: Amount 2 - example: + example: 0.00 CURRENCY3 : type: string description: Currency 3 @@ -809,19 +848,19 @@ components: AMOUNT3 : type: string description: Amount 3 - example: + example: 0.00 ACTION_DATE : type: string description: Action Date - example: + example: 11/05/2007 BANKRUPTCY_ACT : type: string description: Act of Bankruptcy - example: + example: Petition for Winding Up HEARING_DATE : type: string description: Hearing Date - example: + example: 15/12/2007 PLA_SOLICITOR : type: string description: Pla. Solicitor @@ -831,7 +870,36 @@ components: description: |+ List of Winding Up with following children: [LITIGATION] - example: + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + items: properties: LITIGATION : @@ -867,7 +935,34 @@ components: PLA_ID PLA_STATUS PLA_STATUS_DATE - example: + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + properties: SUBJECT_NAME : type: string @@ -990,7 +1085,15 @@ components: description: |+ List of Share Interest In Companies with following children: [SHARE_INTEREST_COMP] - example: + example: |+ + + + + + + + + items: properties: SHARE_INTEREST_COMP : @@ -1001,30 +1104,42 @@ components: SHARE_OWNED_UNIT SHARE_OWNED_PERCENT STATUS - example: + example: |+ + + + + + + properties: COMP_NAME : type: string description: Company Name - example: + example: ORCHID (HOLDINGS) PTE. LTD. SHARE_OWNED_UNIT : type: string description: Shares Owned Unit - example: + example: 500000 SHARE_OWNED_PERCENT : type: string description: Shares Owned Value (%) - example: + example: 100.00 STATUS : type: string description: Status - example: + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP LIST_NAME_CHANGE : type: array description: |+ List of Change of Company/Business Name(s) with following children: [NAME_CHANGE] - example: + example: |+ + + + + + + items: properties: NAME_CHANGE : @@ -1033,22 +1148,40 @@ components: Change of Company/Business Name(s) with following children: PREV_NAME EFFECT_DATE - example: + example: |+ + + + + properties: PREV_NAME : type: string description: Previous Name - example: + example: HUA XI EATING HOUSE EFFECT_DATE : type: string description: Effective Date - example: + example: 25/10/1997 00:00:00 LIST_SHAREHOLDER : type: array description: |+ List of Shareholders with following children: [SHAREHOLDER] - example: + example: |+ + + +
+ + + + + + + + + items: properties: SHAREHOLDER : @@ -1065,40 +1198,52 @@ components: CHANGE_ADDR_DATE ADDR_TYPE NATIONALITY - example: + example: |+ + +
+ + + + + + + + + + properties: ADDRESS : type: string description: Address - example: + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE COMP_ID : type: string description: Company/ Identity No. - example: + example: 198200406H NO_OF_SHARE : type: string description: No. of Shares - example: + example: 657 CURRENCY : type: string description: Currency - example: + example: UNITED STATES OF AMERICA, DOLLARS SHAREHOLDER_TYPE : type: string description: Indicator for Shareholder type - example: + example: 2 SHARE_TYPE : type: string description: Share Type - example: + example: Preference SHAREHOLDER_NAME : type: string description: Shareholder Name - example: + example: KEPPEL COMMUNICATIONS PTE LTD CHANGE_ADDR_DATE : type: string description: Change Address Date - example: + example: 09/05/2003 ADDR_TYPE : type: string description: Address Type, indicates if it is Singapore or foreign address. @@ -1106,13 +1251,22 @@ components: NATIONALITY : type: string description: Nationality - example: + example: SINGAPORE LIST_CAPITAL : type: array description: |+ List of Capital details with following children: [CAPITAL] - example: + example: |+ + + + + + + + + + items: properties: CAPITAL : @@ -1124,34 +1278,52 @@ components: CURRENCY CAPITAL_AMT NO_OF_SHARES - example: + example: |+ + + + + + + + properties: CAPITAL_CATEGORY : type: string description: Capital Category - example: + example: Issued CAPITAL_TYPE : type: string description: Capital Type - example: + example: Ordinary CURRENCY : type: string description: Currency - example: + example: SINGAPORE, DOLLARS CAPITAL_AMT : type: string description: Capital Amount - example: + example: 100,000.00 NO_OF_SHARES : type: string description: Nos. of Shares - example: + example: 100,000 LIST_OFFICER_OWNER : type: array description: |+ List of Officer(s) / Owner(s) with following children: [OFFICER_OWNER] - example: + example: |+ + + +
+ + + + + + + items: properties: OFFICER_OWNER : @@ -1168,54 +1340,70 @@ components: CHANGE_ADDR_DATE APPMT_DATE NATIONALITY - example: + example: |+ + +
+ + + + + + + + + properties: ADDRESS : type: string description: Address - example: + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE IDENTITY_ID : type: string description: Identity No. - example: + example: S1674174D PA_REG_NO : type: string description: Public Accountant Registration No. - example: + example: 00091 POSITION : type: string description: Position - example: + example: DIRECTOR ADDR_TYPE : type: string description: Address Type, indicates if it is Singapore or foreign address. - example: + example: S CESSATION_DATE : type: string description: Cessation Date - example: + example: 30/10/2003 OFFICER_NAME : type: string description: Officer Name - example: + example: HENRY GOH CHANGE_ADDR_DATE : type: string description: Change Address Date - example: + example: 30/10/2003 APPMT_DATE : type: string description: Appointment Date - example: + example: 30/10/2003 NATIONALITY : type: string description: Nationality - example: + example: SINGAPORE P.R. LIST_SALES_REVENUE_AMOUNT : type: array description: |+ List of Sales Revenue Amount with following children: [SALES_REVENUE_AMOUNT] - example: + example: |+ + + + 30000.00 + + items: properties: SALES_REVENUE_AMOUNT : @@ -1226,24 +1414,30 @@ components: YEAR CURRENCY AMOUNT - example: + example: |+ + + + + + 30000.00 + properties: ELEMENTS : type: string description: Description - example: + example: Sales Revenue Amount YEAR : type: string description: Year - example: + example: 2008 CURRENCY : type: string description: Currency - example: + example: SGD AMOUNT : type: string description: Amount - example: + example: 30000.00 LIST_Ddrptcount : type: array description: |+ @@ -1281,59 +1475,59 @@ components: Rcyear : type: string description: To show the year - example: + example: 2017 RcFlag : type: string description: Internal database value - example: + example: N/A Rcjan : type: string description: Count for January - example: + example: 1 Rcfeb : type: string description: Count for February - example: + example: 1 Rcmar : type: string description: Count for March - example: + example: 1 Rcapr : type: string description: Count for April - example: + example: 1 Rcmay : type: string description: Count for May - example: + example: 1 Rcjun : type: string description: Count for June - example: + example: 1 Rcjul : type: string description: Count for July - example: + example: 1 Rcaug : type: string description: Count for August - example: + example: 1 Rcsep : type: string description: Count for September example: - Rcoct : + Rcoct : 1 type: string description: Count for October example: - Rcnov : + Rcnov : 1 type: string description: Count for November - example: + example: 1 Rcdec : type: string description: Count for December - example: + example: 1 Rcid : type: string description: Internal database value @@ -1349,7 +1543,7 @@ components: Rcsecflag : type: string description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: + example: 1 LastUpdateDate : type: string description: Last update date From a85dc5974790ed7bdc7d6a616083152f87edbfb9 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 02:32:51 +1000 Subject: [PATCH 0142/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 0c15822cd..a905d4877 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -1515,12 +1515,12 @@ components: Rcsep : type: string description: Count for September - example: - Rcoct : 1 + example: 1 + Rcoct : type: string description: Count for October - example: - Rcnov : 1 + example: 1 + Rcnov : type: string description: Count for November example: 1 From a301f9bc3136e1984c442193df68452b64f57eca Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 10:47:25 +0530 Subject: [PATCH 0143/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 1336 +++++++++++++++++---- 1 file changed, 1097 insertions(+), 239 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 9fc4db5c2..3fc7930cc 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -90,420 +90,1278 @@ components: properties: REPORT: type: object - example: "[META_INFO] [REGISTRY_DETAIL] [REQ_SEARCH_INFO] [EMPLOYEE_SIZE] [LIST_BIZ_BRANCH] [LIST_REG_CHARGES] [LIST_LIQUIDATOR] [LIST_WINDING_UP] [LIST_LITIGATION] [LIST_SHARE_INTEREST_COMP] [LIST_NAME_CHANGE] [LIST_SHAREHOLDER] [LIST_CAPITAL] [LIST_OFFICER_OWNER][LIST_SALES_REVENUE_AMOUNT]" - description: Object of Items + example: + description: |+ + Report details with following children: + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_WINDING_UP] + [LIST_LITIGATION] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] properties: META_INFO: type: object - example: "SERVICE SYSTEM_ID,CREATION_DATE,USER_ID" - description: Object of Items + example: |+ + + + + + + + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS properties: SERVICE: type: string - example: "" description: Report requested + example: "BCP" SYSTEM_ID : type: string - example: "" description: System ID + example: "DDP" CREATION_DATE: type: string description: Report request date - example: "" + example: "Wed Apr 08 11:37:51 MYT 2009" USER_ID : type: string - description: Valid user id in DDP system - example: "" - CLASS : - type: string - description: Class location for metabean. - example: "" - REQ_SEARCH_INFO : - type: object - description: Request criteria & search record - example: "COMP_NAME REG_NO REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR" - properties: - COMP_NAME : - type: string - description: Company Name - example: "" - REG_NO : - type: string - description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "" - REQ_DATE : - type: string - description: Report Requested Date - example: "" - REQ_REG_NO : + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + CLASS: type: string - description: Request Registration Number - example: "" - REQ_NAME : - type: string - description: Request Name - example: "" - REQ_DATE_STR : - type: string - description: Request Date String - example: "" + description: Class location for metabean. It is for (For internal use) + example: N/A REGISTRY_DETAIL : type: object - example: "RENEWAL_DATE ADDRESS1 ADDRESS2 ADDRESS3 ADDRESS4 COMP_TYPE_CODE REG_DATE REG_ACTIVITY1 REG_ACTIVITY2 ACC_DATE STATUS_EFFECT_DATE NAME_EFFECT_DATE EXPIRY_DATE COMP_TYPE CHANGE_ADDR_DATE COMP_STATUS REG_ACTIVITY_DESC1 REG_ACTIVITY_DESC2 AUDITOR AUDITOR_APPMT_DATE LAST_AR_DATE LAST_AGM_DATE COUNTRY_INCORP" - description: Registry Details + example: |+ + + + + + + + + + + + + + + + + + + + + + + description: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP properties: - COMP_NAME: - type: string - example: - description: Company Name RENEWAL_DATE: type: string - example: "" description: Renewal Date - ADDRESS1 : + example: "23/12/2008" + ADDRESS1: type: string - example: "" - description: Address1 - ADDRESS2 : + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" + ADDRESS2: type: string - example: "" - description: Address2 - ADDRESS3 : + description: Address Line 2 + example: "KEPPEL BAY TOWER" + ADDRESS3: type: string - example: "" - description: Address3 + description: Address Line 3 + example: "098632" ADDRESS4: type: string - example: "" - description: Address4 + description: Address Line 4 + example: "SINGAPORE" COMP_TYPE_CODE: type: string - example: "" - description: Report Code - REG_DATE : + example: CP + description: |+ + Report Code. Available values are: + 1. CP Corporate + 2. SP Sole Proprietor + REG_DATE: type: string - example: "" description: Registration Date + example: "14/10/1974" REG_ACTIVITY1: type: string - example: "" description: Registered Activities 1 + example: "OTHER INVESTMENT HOLDING COMPANIES" REG_ACTIVITY2: type: string - example: "" description: Registered Activities 2 - ACC_DATE : + example: "SHIP MANAGEMENT SERVICES" + ACC_DATE: type: string - example: "" description: Account Date + example: "31/12/2007" STATUS_EFFECT_DATE: type: string - example: "" description: Status Effective Date + example: "14/10/1974" NAME_EFFECT_DATE: type: string - example: "" description: Name Effective Date - EXPIRY_DATE : + example: "14/10/1974" + EXPIRY_DATE: type: string - example: "" description: Expiry Date - COMP_TYPE : + example: "25/10/2009" + COMP_TYPE: type: string - example: "" description: Company Type - CHANGE_ADDR_DATE : + example: "LIMITED PRIVATE COMPANY" + CHANGE_ADDR_DATE: type: string - example: "" description: Change Address Date - COMP_STATUS : + example: "09/05/2003" + COMP_STATUS: type: string - example: "" description: Company Status - REG_ACTIVITY_DESC1 : + example: "Live Company" + REG_ACTIVITY_DESC1: type: string - example: "" description: Registered Activities Description - REG_ACTIVITY_DESC2 : + example: + REG_ACTIVITY_DESC2: type: string - example: "" description: Registered Activities Description - AUDITOR : + example: + AUDITOR: type: string - example: "" description: Auditor Name - AUDITOR_APPMT_DATE : + example: + AUDITOR_APPMT_DATE: type: string - example: "" description: Auditor Appointment Date - LAST_AR_DATE : + example: "13/06/1990" + LAST_AR_DATE: type: string - example: "" description: Date of Last AR - LAST_AGM_DATE : + example: "30/06/2008" + LAST_AGM_DATE: type: string - example: "" description: Date of Last AGM + example: "11/06/2008" COUNTRY_INCORP: type: string - example: "" description: Country Incorporated + example: "SINGAPORE" + REQ_SEARCH_INFO : + type: object + example: |+ + + + + + + + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REG_NO: + type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "197401835M" + REQ_DATE: + type: string + description: Report Requested Date + example: "2009-04-08 11:36:03.611" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197401835M" + REQ_NAME: + type: string + description: Request Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REQ_DATE_STR: + type: string + description: Request Date String + example: "08/04/2009 11:36:03" EMPLOYEE_SIZE : type: object - example: - description: Employee Size Details + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: |+ + + + 300 + properties: ELEMENTS: type: string - example: "" - description: Elements Description + description: Description + example: "Employee Size" AMOUNT: type: string - example: 300 description: Number of employee + example: "300" LIST_BIZ_BRANCH : + type: object + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: |+ + + + + + + + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: |+ + + + + + + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD + LIST_REG_CHARGES: type: array - description: List of Business Branches - example: "[BIZ_BRANCH]" - items: - properties: - BIZ_BRANCH : - type: object - description: List of Branches - example: "ADDR_BUILDING ADDR_POSTCODE ADDR_ADDRESS1" - properties: - ADDR_BUILDING : - type: string - description: Building Name - example: - ADDR_POSTCODE : - type: string - description: Postcode - example: - ADDR_ADDRESS1 : - type: string - description: Address - example: - LIST_REG_CHARGES : - type: array - description: List of Registered Charges - example: "[REG_CHARGES]" + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: |+ + + + + + + + + + items: properties: REG_CHARGES : type: object - description: Registered Charges Details - example: "CHARGE_NO CHARGE_DATE CHARGEE_COMP CURRENCY AMT_SECURED STATUS_SATISFACTION" + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: |+ + + + + + + + + properties: - CHARGE_NO : + CHARGE_NO : type: string - example: - description: Charge No - CHARGE_DATE : + description: Charge No. + example: 8205117 + CHARGE_DATE: type: string - example: description: Charge Date - CHARGEE_COMP : + example: 26/11/1982 + CHARGEE_COMP: type: string - example: description: Charges Company - CURRENCY : + example: UNITED OVERSEAS BANK LIMITED + CURRENCY: type: string - example: description: Currency - AMT_SECURED : + example: + AMT_SECURED: type: string - example: description: Amount Secured - STATUS_SATISFACTION : + example: 1000.00 + STATUS_SATISFACTION: type: string - example: description: Status of Satisfaction - LIST_LIQUIDATOR : + example: + LIST_LIQUIDATOR: type: array - description: List of Liquidator / Receiver / Judicial Manager - example: "[LIQUIDATOR]" + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: |+ + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + items: properties: LIQUIDATOR : type: object - description: Liquidator List - example: "LIQ_POSITION LIQ_ID LIQ_NAME LIQ_COMP LIQ_ADDRESS1 LIQ_ADDRESS2 LIQ_ADDRESS3 LIQ_ADDRESS4 LIQ_APPOINTMENT_DATE" + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE + example: |+ + + ABUTHAHIR ABDUL GAFOOR + S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + 1 RAFFLES PLACE + #20-01 + OUB CENTRE + SINGAPORE 048616 + 30/03/2009 + properties: - LIQ_NAME : + LIQ_POSITION: type: string - description: Liquidator / Receiver / Judicial Manager Name - example: - LIQ_ID : + description: Liquidator / Receiver / Judicial Manager Position + example: Liquidator + LIQ_ID: type: string description: Liquidator / Receiver / Judicial Manager ID - example: - LIQ_POSITION : + example: S1676216D + LIQ_NAME : type: string - description: Liquidator / Receiver / Judicial Manager Position - example: + description: Liquidator / Receiver / Judicial Manager Name + example: ABUTHAHIR ABDUL GAFOOR LIQ_COMP: type: string description: Liquidator / Receiver / Judicial Manager Company Name - example: - LIQ_ADDRESS1 : + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: type: string description: Liquidator / Receiver / Judicial Manager Address 1 - example: - LIQ_ADDRESS2 : + example: 1 RAFFLES PLACE + LIQ_ADDRESS2: type: string description: Liquidator / Receiver / Judicial Manager Address 2 - example: + example: #20-01 LIQ_ADDRESS3: type: string description: Liquidator / Receiver / Judicial Manager Address 3 - example: - LIQ_ADDRESS4 : + example: OUB CENTRE + LIQ_ADDRESS4: type: string description: Liquidator / Receiver / Judicial Manager Address 4 - example: - LIQ_APPOINTMENT_DATE : + example: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: type: string description: Liquidator / Receiver / Judicial Manager Appointment Date - example: - LIST_SALES_REVENUE_AMOUNT : + example: 30/03/2009 + LIST_WINDING_UP : type: array - description: List of Sales Revenue Amount - example: "[SALES_REVENUE_AMOUNT]" + description: |+ + List of Winding Up with following children: + [WINDING_UP] + example: |+ + + + + + + + + + + + + + + + + + + + + items: properties: - SALES_REVENUE_AMOUNT: + WINDING_UP : type: object - description: Sales Revenue Amount Details - example: "ELEMENTS YEAR CURRENCY AMOUNT" + description: |+ + Winding Up details with following children: + CASE_CODE + CASE_YEAR + PLAINTIFF + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_LAW_FIRM + SUBJECT_NAME + COURT_CODE + CASE_TYPE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + PLA_SOLICITOR + example: |+ + + + + + + + + + + + + + + + + + + + properties: - ELEMENTS : + CASE_CODE : type: string - description: Description - example: - YEAR : + description: Case Code + example: 40000 + CASE_YEAR : type: string - description: Year + description: Case Year + example: 1999 + PLAINTIFF : + type: string + description: Plaintiff Name example: - CURRENCY : + PLA_SOLICITOR_ID : type: string - description: Currency + description: Pla. Solicitor ID example: - AMOUNT: - type: number - description: Amount + PLA_FILE_REF : + type: string + description: Pla. File Ref. example: - LIST_SHAREHOLDER: + PLA_LAW_FIRM : + type: string + description: Pla. Law Firm + example: NAME2 + SUBJECT_NAME : + type: string + description: Subject Name + example: PROACTIVE BUILDERS + COURT_CODE : + type: string + description: Court Code + example: CWU + CASE_TYPE : + type: string + description: Case Type + example: COMPANY WINDING UP PETITION + CURRENCY1 : + type: string + description: Currency 1 + example: SGD + AMOUNT1 : + type: string + description: Amount 1 + example: 41,424.52 + CURRENCY2 : + type: string + description: Currency 2 + example: MYR + AMOUNT2 : + type: string + description: Amount 2 + example: 0.00 + CURRENCY3 : + type: string + description: Currency 3 + example: + AMOUNT3 : + type: string + description: Amount 3 + example: 0.00 + ACTION_DATE : + type: string + description: Action Date + example: 11/05/2007 + BANKRUPTCY_ACT : + type: string + description: Act of Bankruptcy + example: Petition for Winding Up + HEARING_DATE : + type: string + description: Hearing Date + example: 15/12/2007 + PLA_SOLICITOR : + type: string + description: Pla. Solicitor + example: + LIST_LITIGATION : type: array - example: "[SHAREHOLDER]" - description: List of Shareholders + description: |+ + List of Winding Up with following children: + [LITIGATION] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + items: properties: - SHAREHOLDER: + LITIGATION : type: object + description: |+ + List of Winding Up with following children: + SUBJECT_NAME + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + DOC_REMARK + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + DATE_OF_WRIT + STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + PLAINTIFF + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_LAW_FIRM + PLA_FILE_REF + PLA_ID + PLA_STATUS + PLA_STATUS_DATE + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + properties: - ADDRESS: + SUBJECT_NAME : type: string - COMP_ID: - type: string - NO_OF_SHARE: + description: Subject Name + example: "SOON SOON SEAFOOD" + NATURE_OF_CLAIM : type: string - CURRENCY: - type: string - SHAREHOLDER_TYPE: + example: "CONTRACT 3" + description: Nature of Claim + STATUS_DATE : type: string - SHARE_TYPE: - type: string - SHAREHOLDER_NAME: + example: "01/05/2008" + description: Status Date + CASE_NO : type: string - CHANGE_ADDR_DATE: + example: "MC 40001 / 1999" + description: Case No + DOC_REMARKS : type: string - ADDR_TYPE: - type: string - NATIONALITY: + example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" + description: Document Remark + CURRENCY1 : + type: string + example: "SGD" + description: Currency 1 + CURRENCY2 : + type: string + example: "MYR" + description: Currency 2 + CURRENCY3 : + type: string + example: "USD" + description: Currency 3 + CURRENCY4 : type: string + example: "-" + description: Currency 4 + CURRENCY5 : + type: string + example: "-" + description: Currency 5 + DEF_SOLICITOR : + type: string + example: "SOL2" + description: Def. Solicitor + DEF_SOLICITOR_ID : + type: string + example: "20000000" + description: Def. Solicitor ID + DEF_LAW_FIRM : + type: string + example: "NAME2" + description: Def. Law Firm + DEF_FILE_REF : + type: string + example: "FILE2" + description: Def. File Ref. + DATE_OF_WRIT : + type: string + example: "01/01/2008" + description: Date Writ + STATUS : + type: string + example: "CONCLUDED 3" + description: Status + AMOUNT1 : + type: string + example: "100.00" + description: Amount 1 + AMOUNT2 : + type: string + example: "200.00" + description: Amount 2 + AMOUNT3 : + type: string + example: "0.00" + description: Amount 3 + AMOUNT4 : + type: string + example: "400.00" + description: Amount 4 + AMOUNT5 : + type: string + example: "0.00" + description: Amount 5 + PLAINTIFF : + type: string + example: "MC 40001" + description: Plaintiff Name + PLA_SOLICITOR: + type: string + example: "SOL2" + description: plantiff Solicitor + PLA_SOLICITOR_ID: + type: string + example: "20000000" + description: plantiff Solicitor ID + PLA_LAW_FIRM : + type: string + example: "NAME2" + description: Pla. Law Firm + PLA_FILE_REF : + type: string + example: "FILE2" + description: Pla. File Ref. + PLA_ID: + type: string + example: "S0739038F" + description: Plaintiff ID + PLA_STATUS: + type: string + example: "SETTLED - BEFORE SET DOWN" + description: Plaintiff Status + PLA_STATUS_DATE : + type: string + example: "17/10/2016" + description: Plaintiff Status Date LIST_SHARE_INTEREST_COMP : type: array - description: List of share interest company - example: "[SHARE_INTEREST_COMP]" + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: |+ + + + + + + + + + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: |+ + + + + + + + properties: + COMP_NAME : + type: string + description: Company Name + example: ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: 500000 + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: 100.00 + STATUS : + type: string + description: Status + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: |+ + + + + + + + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: |+ + + + + + properties: + PREV_NAME : + type: string + description: Previous Name + example: HUA XI EATING HOUSE + EFFECT_DATE : + type: string + description: Effective Date + example: 25/10/1997 00:00:00 + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: |+ + + +
+ + + + + + + + + items: properties: - SHARE_INTEREST_COMP: + SHAREHOLDER : type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: |+ + +
+ + + + + + + + + + properties: - COMP_NAME: + ADDRESS : + type: string + description: Address + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID : type: string - SHARE_OWNED_UNIT: + description: Company/ Identity No. + example: 198200406H + NO_OF_SHARE : type: string - SHARE_OWNED_PERCENT: + description: No. of Shares + example: 657 + CURRENCY : + type: string + description: Currency + example: UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE : + type: string + description: Indicator for Shareholder type + example: 2 + SHARE_TYPE : + type: string + description: Share Type + example: Preference + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE : type: string - STATUS: + description: Change Address Date + example: 09/05/2003 + ADDR_TYPE : type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: |+ + + + + + + + + + + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: |+ + + + + + + + + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: Issued + CAPITAL_TYPE : + type: string + description: Capital Type + example: Ordinary + CURRENCY : + type: string + description: Currency + example: SINGAPORE, DOLLARS + CAPITAL_AMT : + type: string + description: Capital Amount + example: 100,000.00 + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: 100,000 LIST_OFFICER_OWNER : type: array - description: List of office owner - example: "[OFFICER_OWNER]" + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: |+ + + +
+ + + + + + + items: properties: - OFFICER_OWNER: + OFFICER_OWNER : type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: |+ + +
+ + + + + + + + + properties: ADDRESS : type: string + description: Address + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE IDENTITY_ID : - type: string + type: string + description: Identity No. + example: S1674174D + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: 00091 POSITION : type: string - ADDR_TYPE: - type: string + description: Position + example: DIRECTOR + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: S CESSATION_DATE : - type: string - OFFICER_NAME : - type: string + type: string + description: Cessation Date + example: 30/10/2003 + OFFICER_NAME : + type: string + description: Officer Name + example: HENRY GOH CHANGE_ADDR_DATE : type: string - APPMT_DATE: - type: string + description: Change Address Date + example: 30/10/2003 + APPMT_DATE : + type: string + description: Appointment Date + example: 30/10/2003 NATIONALITY : - type: string - LIST_CAPITAL: + type: string + description: Nationality + example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : type: array - description: List of capital - example: "[CAPITAL]" + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: |+ + + + 30000.00 + + items: properties: - CAPITAL: + SALES_REVENUE_AMOUNT : type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: |+ + + + + + 30000.00 + properties: - CAPITAL_CATEGORY: + ELEMENTS : type: string - CAPITAL_TYPE: - type: string - CURRENCY: + description: Description + example: Sales Revenue Amount + YEAR : type: string - CAPITAL_AMT : - type: string - NO_OF_SHARES : - type: string - LIST_NAME_CHANGE: + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: string + description: Amount + example: 30000.00 + LIST_Ddrptcount : type: array - description: List of name change - example: "[NAME_CHANGE]" + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: items: properties: - NAME_CHANGE: + Ddrptcount : type: object - description: List of name change - example: "PREV_NAME EFFECT_DATE" + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: properties: - PREV_NAME: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: string + description: Count for January + example: 1 + Rcfeb : + type: string + description: Count for February + example: 1 + Rcmar : + type: string + description: Count for March + example: 1 + Rcapr : + type: string + description: Count for April + example: 1 + Rcmay : + type: string + description: Count for May + example: 1 + Rcjun : + type: string + description: Count for June + example: 1 + Rcjul : + type: string + description: Count for July + example: 1 + Rcaug : type: string - description: Previous name - example: "" - EFFECT_DATE: + description: Count for August + example: 1 + Rcsep : type: string - description: Effect Date - example: "" + description: Count for September + example: 1 + Rcoct : + type: string + description: Count for October + example: 1 + Rcnov : + type: string + description: Count for November + example: 1 + Rcdec : + type: string + description: Count for December + example: 1 + Rcid : + type: string + description: Internal database value + example: + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: Product Type + example: + Rcsecflag : + type: string + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: string + description: Last update date + example: unauthorized: type: object properties: @@ -586,15 +1444,15 @@ components: default: false ENQUIRY: type: object - example: + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD description: Contains information of each request details default: true properties: SUBJECT_IDNO: type: string - example: "199707714C" - description: |+ - Subjects ID Number (individual) or Registration + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" default: true SUBJECT_NAME: type: string From 37d0e32d80cfebbae5a2846cdf9015c017975713 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 11:31:18 +0530 Subject: [PATCH 0144/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 367 +--------------------- 1 file changed, 1 insertion(+), 366 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 3fc7930cc..34ce6b121 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -100,8 +100,6 @@ components: [LIST_BIZ_BRANCH] [LIST_REG_CHARGES] [LIST_LIQUIDATOR] - [LIST_WINDING_UP] - [LIST_LITIGATION] [LIST_SHARE_INTEREST_COMP] [LIST_NAME_CHANGE] [LIST_SHAREHOLDER] @@ -135,7 +133,7 @@ components: description: System ID example: "DDP" CREATION_DATE: - type: string + type: datetime description: Report request date example: "Wed Apr 08 11:37:51 MYT 2009" USER_ID : @@ -531,369 +529,6 @@ components: type: string description: Liquidator / Receiver / Judicial Manager Appointment Date example: 30/03/2009 - LIST_WINDING_UP : - type: array - description: |+ - List of Winding Up with following children: - [WINDING_UP] - example: |+ - - - - - - - - - - - - - - - - - - - - - items: - properties: - WINDING_UP : - type: object - description: |+ - Winding Up details with following children: - CASE_CODE - CASE_YEAR - PLAINTIFF - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_LAW_FIRM - SUBJECT_NAME - COURT_CODE - CASE_TYPE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - PLA_SOLICITOR - example: |+ - - - - - - - - - - - - - - - - - - - - properties: - CASE_CODE : - type: string - description: Case Code - example: 40000 - CASE_YEAR : - type: string - description: Case Year - example: 1999 - PLAINTIFF : - type: string - description: Plaintiff Name - example: - PLA_SOLICITOR_ID : - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF : - type: string - description: Pla. File Ref. - example: - PLA_LAW_FIRM : - type: string - description: Pla. Law Firm - example: NAME2 - SUBJECT_NAME : - type: string - description: Subject Name - example: PROACTIVE BUILDERS - COURT_CODE : - type: string - description: Court Code - example: CWU - CASE_TYPE : - type: string - description: Case Type - example: COMPANY WINDING UP PETITION - CURRENCY1 : - type: string - description: Currency 1 - example: SGD - AMOUNT1 : - type: string - description: Amount 1 - example: 41,424.52 - CURRENCY2 : - type: string - description: Currency 2 - example: MYR - AMOUNT2 : - type: string - description: Amount 2 - example: 0.00 - CURRENCY3 : - type: string - description: Currency 3 - example: - AMOUNT3 : - type: string - description: Amount 3 - example: 0.00 - ACTION_DATE : - type: string - description: Action Date - example: 11/05/2007 - BANKRUPTCY_ACT : - type: string - description: Act of Bankruptcy - example: Petition for Winding Up - HEARING_DATE : - type: string - description: Hearing Date - example: 15/12/2007 - PLA_SOLICITOR : - type: string - description: Pla. Solicitor - example: - LIST_LITIGATION : - type: array - description: |+ - List of Winding Up with following children: - [LITIGATION] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - items: - properties: - LITIGATION : - type: object - description: |+ - List of Winding Up with following children: - SUBJECT_NAME - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - DOC_REMARK - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - DATE_OF_WRIT - STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - PLAINTIFF - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_LAW_FIRM - PLA_FILE_REF - PLA_ID - PLA_STATUS - PLA_STATUS_DATE - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: "SOON SOON SEAFOOD" - NATURE_OF_CLAIM : - type: string - example: "CONTRACT 3" - description: Nature of Claim - STATUS_DATE : - type: string - example: "01/05/2008" - description: Status Date - CASE_NO : - type: string - example: "MC 40001 / 1999" - description: Case No - DOC_REMARKS : - type: string - example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" - description: Document Remark - CURRENCY1 : - type: string - example: "SGD" - description: Currency 1 - CURRENCY2 : - type: string - example: "MYR" - description: Currency 2 - CURRENCY3 : - type: string - example: "USD" - description: Currency 3 - CURRENCY4 : - type: string - example: "-" - description: Currency 4 - CURRENCY5 : - type: string - example: "-" - description: Currency 5 - DEF_SOLICITOR : - type: string - example: "SOL2" - description: Def. Solicitor - DEF_SOLICITOR_ID : - type: string - example: "20000000" - description: Def. Solicitor ID - DEF_LAW_FIRM : - type: string - example: "NAME2" - description: Def. Law Firm - DEF_FILE_REF : - type: string - example: "FILE2" - description: Def. File Ref. - DATE_OF_WRIT : - type: string - example: "01/01/2008" - description: Date Writ - STATUS : - type: string - example: "CONCLUDED 3" - description: Status - AMOUNT1 : - type: string - example: "100.00" - description: Amount 1 - AMOUNT2 : - type: string - example: "200.00" - description: Amount 2 - AMOUNT3 : - type: string - example: "0.00" - description: Amount 3 - AMOUNT4 : - type: string - example: "400.00" - description: Amount 4 - AMOUNT5 : - type: string - example: "0.00" - description: Amount 5 - PLAINTIFF : - type: string - example: "MC 40001" - description: Plaintiff Name - PLA_SOLICITOR: - type: string - example: "SOL2" - description: plantiff Solicitor - PLA_SOLICITOR_ID: - type: string - example: "20000000" - description: plantiff Solicitor ID - PLA_LAW_FIRM : - type: string - example: "NAME2" - description: Pla. Law Firm - PLA_FILE_REF : - type: string - example: "FILE2" - description: Pla. File Ref. - PLA_ID: - type: string - example: "S0739038F" - description: Plaintiff ID - PLA_STATUS: - type: string - example: "SETTLED - BEFORE SET DOWN" - description: Plaintiff Status - PLA_STATUS_DATE : - type: string - example: "17/10/2016" - description: Plaintiff Status Date LIST_SHARE_INTEREST_COMP : type: array description: |+ From fbf035aafdad581417569d8a971150cd0e7f94ec Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 11:52:33 +0530 Subject: [PATCH 0145/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 32 +++++++++++------------ 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 34ce6b121..344b5981f 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -876,7 +876,7 @@ components: description: Description example: Sales Revenue Amount YEAR : - type: string + type: integer description: Year example: 2008 CURRENCY : @@ -884,7 +884,7 @@ components: description: Currency example: SGD AMOUNT : - type: string + type: float description: Amount example: 30000.00 LIST_Ddrptcount : @@ -930,55 +930,55 @@ components: description: Internal database value example: N/A Rcjan : - type: string + type: integer description: Count for January example: 1 Rcfeb : - type: string + type: integer description: Count for February example: 1 Rcmar : - type: string + type: integer description: Count for March example: 1 Rcapr : - type: string + type: integer description: Count for April example: 1 Rcmay : - type: string + type: integer description: Count for May example: 1 Rcjun : - type: string + type: integer description: Count for June example: 1 Rcjul : - type: string + type: integer description: Count for July example: 1 Rcaug : - type: string + type: integer description: Count for August example: 1 Rcsep : - type: string + type: integer description: Count for September example: 1 Rcoct : - type: string + type: integer description: Count for October example: 1 Rcnov : - type: string + type: integer description: Count for November example: 1 Rcdec : - type: string + type: integer description: Count for December example: 1 Rcid : - type: string + type: integer description: Internal database value example: Rcreg : @@ -990,7 +990,7 @@ components: description: Product Type example: Rcsecflag : - type: string + type: integer description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors example: 1 LastUpdateDate : From 314ff3b9eed7dfd37c0278c1773e609c5fff78be Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:04:18 +0530 Subject: [PATCH 0146/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index 4d428dcab..761d3c7dd 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -135,12 +135,14 @@ components: - เวียดนาม - ประเทศพม่า - กัมพูชาทางทิศใต้ติดกับอ่าวไทย + description: "location found in the text string" organization: type: array items: type: string example: - รัฐสภา + description: "organization found in the text string" message: type: string example: Successfully Processed From bd9d982e5f7fa290efcddd39294cf2a8f8e7b3ea Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:05:43 +0530 Subject: [PATCH 0147/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index 761d3c7dd..7fdd58dcc 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -118,6 +118,7 @@ components: type: string example: - รัฐธรรมนูญ + description: "law details found in the text string" location: type: array items: From 0c03a92662b61778d9b2d1b6e471ec4679c7313e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:09:18 +0530 Subject: [PATCH 0148/5916] Update named-entity_recognition_jap_v1.0.yaml --- yaml/named-entity_recognition_jap_v1.0.yaml | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_jap_v1.0.yaml b/yaml/named-entity_recognition_jap_v1.0.yaml index 8c466656d..8762caa31 100644 --- a/yaml/named-entity_recognition_jap_v1.0.yaml +++ b/yaml/named-entity_recognition_jap_v1.0.yaml @@ -124,6 +124,7 @@ components: type: string example: - 56 + description: "age details found in the text string" countx_other: type: array items: @@ -131,30 +132,35 @@ components: example: - 2稿 - 8口 + description: "countx other details found in the text string" doctrine_method_other: type: array items: type: string example: - 険所コホ特室りょ + description: "doctrine method in the text string" n_event: type: array items: type: string example: - 受1 + description: "n_event in the text string" numex_other: type: array items: type: string example: - 受1 + description: "numex_other details found in the text string" ordinal_number: type: array items: type: string example: -30弾 + description: "ordinal_number details in the text string" person: type: array items: @@ -164,6 +170,7 @@ components: - 壮 - 琢紫 - ナユ + description: "person details found in the text string" product_other: type: array items: @@ -171,12 +178,14 @@ components: example: - 都合ヘラアニ限 - 議帳 + description: "product found in the text string" show_organization: type: array items: type: string example: - - 左成相態 + - 左成相態 + description: "organization details found in the text string" message: type: string example: Successfully Processed From b1740d5de72cf157893b2b97890e59e79358b64c Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 16:53:47 +1000 Subject: [PATCH 0149/5916] Add new microservices --- yaml/page_profiler_jp.yaml | 420 +++++++++++++++++++++++++++++++++++ yaml/page_profiler_thai.yaml | 239 ++++++++++++++++++++ 2 files changed, 659 insertions(+) create mode 100644 yaml/page_profiler_jp.yaml create mode 100644 yaml/page_profiler_thai.yaml diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml new file mode 100644 index 000000000..04ba1f65c --- /dev/null +++ b/yaml/page_profiler_jp.yaml @@ -0,0 +1,420 @@ + openapi: 3.0.1 + info: + title: Page Profiler JP + description: |+ + This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '1.0' + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v0.1" + description: "Published Date - Sep 30, 2020" + paths: + /microservices/nlp/pageprofilerjp/v0.1/getpredictions: + post: + tags: + - v0.1 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + academic: + - リベラル派 + age: + - '64' + - 生後9カ月 + - 40歳 + animal_disease: + - 感染症COVID-19 + - 風邪 + animal_part: + - のど + - 脳 + city: + - 渋谷区 + - ロンドン + company: + - COVID + - COVID-19 + - ドナルド･トランプ + compound: + - 米フィンセン + continental_region: + - 南米ベネズエラ + - インド西部ムンバイ + corporation_other: + - TikTok + - スイス国民 + - ベラルーシ警察 + country: + - アメリカ + - イギリス + countx_other: + - ひとつ + - '1,3' + date: + - 2020年9月9日 + - 秋 + - 2020年9月4日 + - '1,55' + day_of_week: + - 週末 + doctrine_method_other: + - ホーム コロナウイルス + - WHO + domestic_region: + - 米ケンタッキー州 + event_other: + - 大統領選 + - 大統領選 + family: + - インフルエンザ + flora: + - 米 + - 米 + food_other: + - 米 + - 米 + - 米 + government: + - 米大統領選 日本 アジア イギリス アメリカ 解説・読み物 ビデオ ワールド + - 米大統領選 日本 アジア イギリス アメリカ 解説・読み物 ビデオ + international_organization: + - WHO 世界保健機関 + - COVID-19 + mammal: + - 犬 + - ゴンドウクジラ + - クジラ + money: + - '1,5' + - 8万円 + - 総額2兆ドル + n_animal: + - 270頭 + - 約270頭 + - 1頭 + n_country: + - 133カ国 + n_event: + - 2500件以上 + n_organization: + - 数百社 + n_person: + - 40以上 + - '3,1' + n_product: + - 5つ + - '1,4' + nationality: + - 黒人女性 + - アメリカ人女性 + numex_other: + - 米紙ニューヨーク･タイムズ + offense: + - 殺人 + - 強姦 + - 殺人罪 + - 投資詐欺 + ordinal_number: + - '3,11' + - '2,5' + organization_other: + - 中心部 + percent: + - 61.7% + - 賛成38% + - 6対3 + period_day: + - 50日目 + - '1,09' + period_time: + - 2時間前 30分 + - 2時間前 + period_year: + - 過去15年間 + - 数年 + - 過去15年間 + - 7週 + - 27年間 + person: + - トランプ + - トランプ + - ペロシ + plan: + - 国家安全保障上 + political_organization_other: + - 王立開業医学会 + position_vocation: + - 議長 + - 大統領 + - 警察幹部 + product_other: + - BBC News + - TikTok + - 新型コロナウイルス + - 新型コロナウイルス + - 新型コロナウイルス + - "-19" + - 新型コロナウイルス + - ジレンマ 新型ウイルス + - 新型コロナウイルス + - 連邦所得税 + - 米プロフットボールNFL + - 闘い 豪タスマニア + - 最高裁 + - Qアノン + - 投資銀行HSBC + - 新型コロナウイルス特集 + - 個人情報取り扱い方針 クッキー BBC + - AdChoices / Do Not Sell My Info + - 2020 BBC. + province: + - 東京 + public_institution: + - 米裁判所 + religious_festival: + - クリスマス休暇 + time: + - '3:11' + - '1:50' + - '1:31' + - '2:57' + - '2:36' + - '1:55' + - '4:19' + - 真夜中 + - '1:38' + - '0:50' + - '4:53' + - '1:40' + - '1:09' + - '2:47' + - '4:17' + - '0:48' + - '5:17' + - '3:16' + title_other: + - 氏 + - さん + - 氏 + - さん + - 氏 + - 氏 + - 氏 + - 氏 + - さん + - さん + - さん + - さん + - 氏 + - 氏 + - 氏 + status: Success + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + academic: + type: array + example: ["リベラル派"] + description: "academic found in the url content" + age: + type: array + example: [ + "64", + "生後9カ月", + "40歳", + "40歳", + "48歳女性", + "87歳", + "87歳" + ] + age: "age found in the url content" + animal_disease: + type: array + example: [ + "感染症COVID-19", + "風邪", + "インフルエンザ", + "風邪", + "感染症COVID-19", + "がん" + ] + description: "animal_disease found in the url content" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.bbc.com/japanese + description: |+ + Input url + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/yaml/page_profiler_thai.yaml b/yaml/page_profiler_thai.yaml new file mode 100644 index 000000000..91ce9f19e --- /dev/null +++ b/yaml/page_profiler_thai.yaml @@ -0,0 +1,239 @@ + openapi: 3.0.1 + info: + title: Page Profiler Thai + description: |+ + This NLP microservice retrieves web content in Thai from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + version: '1.0' + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v0.1" + description: "Published Date - Sep 30, 2020" + paths: + /microservices/nlp/pageprofilerthai/v0.1/getpredictions: + post: + tags: + - v0.1 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + law: + - รุ้ง" จัดกิจกรรม"ตามหานาย" หน้ากองพันทหารม้าที่ 4 กองพล 1 รอ.ทวงถามความรับผิดชอบ + 28 กันยายน 2563 + ติดต่อโฆษณาออนไลน์ Worarak + location: + - กทม. + - เมียนมา + - อินเดีย + - ไทย + money: + - 7หมื่นชิ้น + - 33 ล้าน + organization: + - ทัพเพื่อไทย + - กรมอุตุฯ + - รฟม. + - มหาดไทย + - ปธ.อำนวยการ + person: + - น้องวีจิ + - สักงูเขียว รับผิดขอโทษ + - บิ๊กตู่ + - มาดามเดียร์"ติงนโยบายยกเว้นภาษี เปิดช่องรร.ทำกำไร + - ชูศักดิ์ + - รร.สารสาสน์ + - บิ๊กบราเธอร์" + - ครูจุ๋ม' + - ครูจุ๋ม" + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + location: + x-name: location + type: array + example: [ สหรัฐอเมริ ] + description: name of location found in the text string + + person: + x-name: person + type: array + example: [ ประธานาธิบดีทร ] + description: name of person found in the text string + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.komchadluek.net/ + description: |+ + Input url + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 7e73e4b8870b81bdb5506525c8ce88b436e079eb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:24:25 +0530 Subject: [PATCH 0150/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 111 +----------------- 1 file changed, 1 insertion(+), 110 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index a905d4877..9cf2857fd 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -1438,116 +1438,7 @@ components: type: string description: Amount example: 30000.00 - LIST_Ddrptcount : - type: array - description: |+ - List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: - [Ddrptcount] - example: - items: - properties: - Ddrptcount : - type: object - description: |+ - 6 XML tags (open then close) displays - Search By Financial Sectors (counts for 3 recent years) - Search By Non- Financial Sectors (counts for 3 recent years) - Following children are: - Rcyear - RcFlag (only respond for the year exists) - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) - Rcsecflag - LastUpdateDate (only respond for the year exists) - example: - properties: - Rcyear : - type: string - description: To show the year - example: 2017 - RcFlag : - type: string - description: Internal database value - example: N/A - Rcjan : - type: string - description: Count for January - example: 1 - Rcfeb : - type: string - description: Count for February - example: 1 - Rcmar : - type: string - description: Count for March - example: 1 - Rcapr : - type: string - description: Count for April - example: 1 - Rcmay : - type: string - description: Count for May - example: 1 - Rcjun : - type: string - description: Count for June - example: 1 - Rcjul : - type: string - description: Count for July - example: 1 - Rcaug : - type: string - description: Count for August - example: 1 - Rcsep : - type: string - description: Count for September - example: 1 - Rcoct : - type: string - description: Count for October - example: 1 - Rcnov : - type: string - description: Count for November - example: 1 - Rcdec : - type: string - description: Count for December - example: 1 - Rcid : - type: string - description: Internal database value - example: - Rcreg : - type: string - description: Company Registration Number - example: - Rcrptyid : - type: string - description: Product Type - example: - Rcsecflag : - type: string - description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: 1 - LastUpdateDate : - type: string - description: Last update date - example: + unauthorized: type: object properties: From e30d444269a1692b6fc9c92a557b593b4fe2eb30 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 16:55:37 +1000 Subject: [PATCH 0151/5916] Add new PP microservices --- yaml/index.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/yaml/index.yaml b/yaml/index.yaml index 85d127b84..36b41090e 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -50,6 +50,14 @@ NLP: versions: v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng_v2.0.yaml" v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" + Page Profiler JAP: + title: Page Profiler JAP + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_jp.yaml" + Page Profiler THAI: + title: Page Profiler THAI + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_thai.yaml" Taxonomy Matcher ENG: title: Taxonomy Matcher ENG versions: From a5f3b04b8bef39b942770c892b60002f65767be9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:30:40 +0530 Subject: [PATCH 0152/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 074c2a96b..4fe04d2bf 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -123,11 +123,6 @@ type: string example: -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join description: "name of location found in the text string" unauthorized: type: object From e340271f7d0d2f1df268d8d6c51859ef80135377 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:32:33 +0530 Subject: [PATCH 0153/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 344b5981f..72856df4e 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -111,9 +111,10 @@ components: type: object example: |+ - + - + + description: |+ @@ -127,23 +128,23 @@ components: SERVICE: type: string description: Report requested - example: "BCP" + example: "" SYSTEM_ID : type: string description: System ID - example: "DDP" + example: "" CREATION_DATE: type: datetime description: Report request date - example: "Wed Apr 08 11:37:51 MYT 2009" + example: "" USER_ID : type: string description: Valid user id in DDP system. It is for (For internal use) - example: N/A + example: "" CLASS: type: string description: Class location for metabean. It is for (For internal use) - example: N/A + example: "" REGISTRY_DETAIL : type: object example: |+ From 0792e65b1d1707f7b3b9062ee8db61855d55fe2f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:34:43 +0530 Subject: [PATCH 0154/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 60 +++++++++++--------------------- 1 file changed, 20 insertions(+), 40 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 4fe04d2bf..dc53baef9 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Page Profiler ENG Updated + title: Page Profiler ENG description: |+ This NLP microservice retrieves web content in English from the input URL. @@ -12,7 +12,7 @@ - url: 'https://apis.sentient.io' tags: - name: "v2.0" - description: "Published Date - Apr 11, 2018" + description: "Published Date - Sep 30, 2020" paths: /microservices/nlp/pageprofiler/v2.0/getpredictions: post: @@ -25,32 +25,7 @@ application/json: schema: $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - loc: - - Nat - - Sentient.io - - Home - - Inte - - CONTACT - - Join - misc: - - Sentient.io - - English - org: - - Our Clients - - AI - - APIs - - Sentient.io - - Our Technology Partners - - Named Entity Recognition - - Our Investors - per: - - Sentient.io - - Speech - - LinkedIn - status: Success + example: {"LOC": ["Beijing","Atlanta","Indonesia"], "MISC": [Twiight,Singaporean],"ORG": [CNA,Singapore Parliament],"PER": [Skip Navigation,Bookmarks]} '401': description: Unauthorized content: @@ -112,18 +87,23 @@ success: type: object properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - -Nat - description: "name of location found in the text string" + LOC: + type: array + example: ["Beijing","Atlanta","Indonesia"] + description: "name of location found in the text string" + MISC: + type: array + example: [Twiight,Singaporean] + description: "name of miscellaneous names found in the text string" + ORG: + type: array + example: [CNA,Singapore Parliament] + description: "name of organizations found in the text string" + PER: + type: array + example: [Skip Navigation,Bookmarks] + description: "name of persons found in the text string" + unauthorized: type: object properties: From fc1f0b97942af63c4124828280fb2bbe5b3f41df Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:36:51 +0530 Subject: [PATCH 0155/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 27 ++++++++++++++++++++++++++- 1 file changed, 26 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index dc53baef9..4b4d4a4f4 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -25,7 +25,32 @@ application/json: schema: $ref: '#/components/schemas/success' - example: {"LOC": ["Beijing","Atlanta","Indonesia"], "MISC": [Twiight,Singaporean],"ORG": [CNA,Singapore Parliament],"PER": [Skip Navigation,Bookmarks]} + example: + message: Successfully Processed + results: + loc: + - Nat + - Sentient.io + - Home + - Inte + - CONTACT + - Join + misc: + - Sentient.io + - English + org: + - Our Clients + - AI + - APIs + - Sentient.io + - Our Technology Partners + - Named Entity Recognition + - Our Investors + per: + - Sentient.io + - Speech + - LinkedIn + status: Success '401': description: Unauthorized content: From 5662f343ea0922b030cb31804a6d2df6ffe46e9a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:48:47 +0530 Subject: [PATCH 0156/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 36 +++++++++++++++++--------------- 1 file changed, 19 insertions(+), 17 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 4b4d4a4f4..e00da3fef 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -112,23 +112,25 @@ success: type: object properties: - LOC: - type: array - example: ["Beijing","Atlanta","Indonesia"] - description: "name of location found in the text string" - MISC: - type: array - example: [Twiight,Singaporean] - description: "name of miscellaneous names found in the text string" - ORG: - type: array - example: [CNA,Singapore Parliament] - description: "name of organizations found in the text string" - PER: - type: array - example: [Skip Navigation,Bookmarks] - description: "name of persons found in the text string" - + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + -Nat + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: From e0e22453ea710d6b0c98a0595436cf375be894ae Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 12:49:58 +0530 Subject: [PATCH 0157/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index e00da3fef..90708f0c4 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -122,7 +122,13 @@ items: type: string example: - -Nat + -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join + description: "name of location found in the text string" message: type: string example: Successfully Processed From 6661ef710bf448085b3bb54f9d32b1aeaa9c4355 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:01:19 +0530 Subject: [PATCH 0158/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 90708f0c4..d38870a91 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -121,14 +121,9 @@ type: array items: type: string - example: + example: -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join - description: "name of location found in the text string" + description: "name of location found in the text string" message: type: string example: Successfully Processed @@ -136,7 +131,7 @@ status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call success/failure unauthorized: type: object properties: From 460728d690ee085797af601a0b87b20c43ed5884 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:07:08 +0530 Subject: [PATCH 0159/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index d38870a91..fb13cfee4 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -123,6 +123,11 @@ type: string example: -Nat + -Sentient.io + -Home + -Inte + -CONTACT + -Join description: "name of location found in the text string" message: type: string From 226f84784a0a6312bbdeb1150548fda2d10a7138 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:11:07 +0530 Subject: [PATCH 0160/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index fb13cfee4..5136a25f1 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -129,6 +129,14 @@ -CONTACT -Join description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - Sentient.io + - English + description: "name of miscellaneous names found in the text string" message: type: string example: Successfully Processed From 890c3ca251cd9f100a782473d32bbee3be717e81 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:11:52 +0530 Subject: [PATCH 0161/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 72856df4e..d08899f88 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -156,16 +156,21 @@ components: - + + - + + - + + - + + @@ -294,11 +299,13 @@ components: type: object example: |+ - + + - + + description: |+ Request criteria & search record with following children: COMP_NAME From 97cabd770bd06ea02a85a7744d66f29cdef5d465 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:11:58 +0530 Subject: [PATCH 0162/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 5136a25f1..43fbb8964 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -123,11 +123,6 @@ type: string example: -Nat - -Sentient.io - -Home - -Inte - -CONTACT - -Join description: "name of location found in the text string" misc: type: array From f440f9b73cfa8aaa5c28aad0be9bf21455559070 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:13:20 +0530 Subject: [PATCH 0163/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 8 -------- 1 file changed, 8 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 43fbb8964..d38870a91 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -124,14 +124,6 @@ example: -Nat description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - Sentient.io - - English - description: "name of miscellaneous names found in the text string" message: type: string example: Successfully Processed From 43a9c98bfd5d8cdb337f374e017ba1b12d0b9e6c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:15:47 +0530 Subject: [PATCH 0164/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index d38870a91..6ae515605 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -123,7 +123,6 @@ type: string example: -Nat - description: "name of location found in the text string" message: type: string example: Successfully Processed From 902ce9e179215694186c07a83465d164c12e93c2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:18:12 +0530 Subject: [PATCH 0165/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 6ae515605..ceff4c540 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -122,7 +122,12 @@ items: type: string example: - -Nat + - Nat + - Sentient.io + - Home + - Inte + - CONTACT + - Join message: type: string example: Successfully Processed From 143e22851b327d3baadf8031b01515d6a30b3557 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:22:12 +0530 Subject: [PATCH 0166/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 13 +++---------- 1 file changed, 3 insertions(+), 10 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index ceff4c540..307c1d276 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -118,16 +118,9 @@ description: Json Object of returned results properties: loc: - type: array - items: - type: string - example: - - Nat - - Sentient.io - - Home - - Inte - - CONTACT - - Join + type: array + example: ["Beijing","Atlanta","Indonesia"] + description: "name of location found in the text string" message: type: string example: Successfully Processed From f247ef10165034826037499a3fe16497553a5588 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:22:55 +0530 Subject: [PATCH 0167/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 307c1d276..7f202a033 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -119,7 +119,14 @@ properties: loc: type: array - example: ["Beijing","Atlanta","Indonesia"] + example: [ + "Nat", + "Sentient.io", + "Home", + "Inte", + "CONTACT", + "Join" + ] description: "name of location found in the text string" message: type: string From 816f700f8439ce6e1831266a0add3513de2e2d19 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:24:19 +0530 Subject: [PATCH 0168/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 7f202a033..67f4022df 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -119,14 +119,7 @@ properties: loc: type: array - example: [ - "Nat", - "Sentient.io", - "Home", - "Inte", - "CONTACT", - "Join" - ] + example: ["Nat","Sentient.io","Home","Inte","CONTACT","Join"] description: "name of location found in the text string" message: type: string From 0a812acacbaf00e781fc4158a93f0e637a5d4797 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:26:14 +0530 Subject: [PATCH 0169/5916] Update page_profiler_thai.yaml --- yaml/page_profiler_thai.yaml | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_thai.yaml b/yaml/page_profiler_thai.yaml index 91ce9f19e..449d58161 100644 --- a/yaml/page_profiler_thai.yaml +++ b/yaml/page_profiler_thai.yaml @@ -143,7 +143,14 @@ type: string example: Success description: The status of the API call success/failure - + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: From 733b5d61734fc58e04082ea2d86d0b20057303ed Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:27:04 +0530 Subject: [PATCH 0170/5916] Update page_profiler_thai.yaml --- yaml/page_profiler_thai.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_thai.yaml b/yaml/page_profiler_thai.yaml index 449d58161..80a3d69a3 100644 --- a/yaml/page_profiler_thai.yaml +++ b/yaml/page_profiler_thai.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Page Profiler Thai + title: Page Profiler THAI description: |+ This NLP microservice retrieves web content in Thai from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. From a0b50ca1ee7f055495b0d26f08e4dcca7cfc63d8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:29:08 +0530 Subject: [PATCH 0171/5916] Update page_profiler_jp.yaml --- yaml/page_profiler_jp.yaml | 47 ++++++++++++++++---------------------- 1 file changed, 20 insertions(+), 27 deletions(-) diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml index 04ba1f65c..b48eea570 100644 --- a/yaml/page_profiler_jp.yaml +++ b/yaml/page_profiler_jp.yaml @@ -289,33 +289,26 @@ example: { "" } description: Json Object of returned results properties: - academic: - type: array - example: ["リベラル派"] - description: "academic found in the url content" - age: - type: array - example: [ - "64", - "生後9カ月", - "40歳", - "40歳", - "48歳女性", - "87歳", - "87歳" - ] - age: "age found in the url content" - animal_disease: - type: array - example: [ - "感染症COVID-19", - "風邪", - "インフルエンザ", - "風邪", - "感染症COVID-19", - "がん" - ] - description: "animal_disease found in the url content" + Company: + x-name: Company + type: array + example: [ 和歌山製鉄所 ] + description: name of Company found in the text string + Date: + x-name: Date + type: array + example: [ 7日,2023年9月,22年9月 ] + description: name of Date found in the text string + Domestic_Region: + x-name: Domestic_Region + type: array + example: [ 呉製鉄所 ] + description: name of Domestic_Region found in the text string + Material: + x-name: Material + type: array + example: [ 鉄鋼最大手 ] + description: name of Material found in the text string message: type: string example: Successfully Processed From 660bfe9ca0de2180243cf486dbf974b67b07383a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:36:03 +0530 Subject: [PATCH 0172/5916] Update page_profiler_jp.yaml --- yaml/page_profiler_jp.yaml | 205 +++---------------------------------- 1 file changed, 13 insertions(+), 192 deletions(-) diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml index b48eea570..f85621573 100644 --- a/yaml/page_profiler_jp.yaml +++ b/yaml/page_profiler_jp.yaml @@ -28,201 +28,22 @@ example: message: Successfully Processed results: - academic: - - リベラル派 - age: - - '64' - - 生後9カ月 - - 40歳 - animal_disease: - - 感染症COVID-19 - - 風邪 - animal_part: - - のど - - 脳 - city: - - 渋谷区 - - ロンドン - company: - - COVID - - COVID-19 - - ドナルド･トランプ - compound: - - 米フィンセン - continental_region: - - 南米ベネズエラ - - インド西部ムンバイ - corporation_other: - - TikTok - - スイス国民 - - ベラルーシ警察 - country: - - アメリカ - - イギリス - countx_other: - - ひとつ - - '1,3' + company: + - 和歌山製鉄所 date: - - 2020年9月9日 - - 秋 - - 2020年9月4日 - - '1,55' - day_of_week: - - 週末 - doctrine_method_other: - - ホーム コロナウイルス - - WHO - domestic_region: - - 米ケンタッキー州 - event_other: - - 大統領選 - - 大統領選 - family: - - インフルエンザ - flora: - - 米 - - 米 - food_other: - - 米 - - 米 - - 米 - government: - - 米大統領選 日本 アジア イギリス アメリカ 解説・読み物 ビデオ ワールド - - 米大統領選 日本 アジア イギリス アメリカ 解説・読み物 ビデオ - international_organization: - - WHO 世界保健機関 - - COVID-19 - mammal: - - 犬 - - ゴンドウクジラ - - クジラ - money: - - '1,5' - - 8万円 - - 総額2兆ドル - n_animal: - - 270頭 - - 約270頭 - - 1頭 - n_country: - - 133カ国 - n_event: - - 2500件以上 - n_organization: - - 数百社 - n_person: - - 40以上 - - '3,1' - n_product: - - 5つ - - '1,4' - nationality: - - 黒人女性 - - アメリカ人女性 - numex_other: - - 米紙ニューヨーク･タイムズ - offense: - - 殺人 - - 強姦 - - 殺人罪 - - 投資詐欺 - ordinal_number: - - '3,11' - - '2,5' - organization_other: - - 中心部 - percent: - - 61.7% - - 賛成38% - - 6対3 - period_day: - - 50日目 - - '1,09' - period_time: - - 2時間前 30分 - - 2時間前 - period_year: - - 過去15年間 - - 数年 - - 過去15年間 - - 7週 - - 27年間 - person: - - トランプ - - トランプ - - ペロシ - plan: - - 国家安全保障上 - political_organization_other: - - 王立開業医学会 - position_vocation: - - 議長 - - 大統領 - - 警察幹部 - product_other: - - BBC News - - TikTok - - 新型コロナウイルス - - 新型コロナウイルス - - 新型コロナウイルス - - "-19" - - 新型コロナウイルス - - ジレンマ 新型ウイルス - - 新型コロナウイルス - - 連邦所得税 - - 米プロフットボールNFL - - 闘い 豪タスマニア - - 最高裁 - - Qアノン - - 投資銀行HSBC - - 新型コロナウイルス特集 - - 個人情報取り扱い方針 クッキー BBC - - AdChoices / Do Not Sell My Info - - 2020 BBC. + - 7日,2023年9月 + - 22年9月 + domestic_region: + - 呉製鉄所 + material: + - 鉄鋼最大手 + n_product: + - 高炉2基 + - 2基","1基 province: - - 東京 - public_institution: - - 米裁判所 - religious_festival: - - クリスマス休暇 - time: - - '3:11' - - '1:50' - - '1:31' - - '2:57' - - '2:36' - - '1:55' - - '4:19' - - 真夜中 - - '1:38' - - '0:50' - - '4:53' - - '1:40' - - '1:09' - - '2:47' - - '4:17' - - '0:48' - - '5:17' - - '3:16' - title_other: - - 氏 - - さん - - 氏 - - さん - - 氏 - - 氏 - - 氏 - - 氏 - - さん - - さん - - さん - - さん - - 氏 - - 氏 - - 氏 + - 広島県呉市 + - 和歌山市 status: Success - - '401': description: Unauthorized content: From c3b0247e630364d0e69082e06a80b07633c5fe1d Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:48:04 +0530 Subject: [PATCH 0173/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index d08899f88..27ed2cc4e 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -408,8 +408,9 @@ components: - - + + + @@ -431,7 +432,7 @@ components: - + properties: @@ -454,7 +455,7 @@ components: AMT_SECURED: type: string description: Amount Secured - example: 1000.00 + example: 0.00 STATUS_SATISFACTION: type: string description: Status of Satisfaction From 36825b9778d8cb23874c20d72e63646eed4e863c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 13:52:28 +0530 Subject: [PATCH 0174/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 110 ++++++++++++++++++ 1 file changed, 110 insertions(+) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 9cf2857fd..25881588b 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -1393,6 +1393,116 @@ components: type: string description: Nationality example: SINGAPORE P.R. + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: string + description: Count for January + example: 1 + Rcfeb : + type: string + description: Count for February + example: 1 + Rcmar : + type: string + description: Count for March + example: 1 + Rcapr : + type: string + description: Count for April + example: 1 + Rcmay : + type: string + description: Count for May + example: 1 + Rcjun : + type: string + description: Count for June + example: 1 + Rcjul : + type: string + description: Count for July + example: 1 + Rcaug : + type: string + description: Count for August + example: 1 + Rcsep : + type: string + description: Count for September + example: 1 + Rcoct : + type: string + description: Count for October + example: 1 + Rcnov : + type: string + description: Count for November + example: 1 + Rcdec : + type: string + description: Count for December + example: 1 + Rcid : + type: string + description: Internal database value + example: + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: Product Type + example: + Rcsecflag : + type: string + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: string + description: Last update date + example: LIST_SALES_REVENUE_AMOUNT : type: array description: |+ From da72825e3a3325b6b21ed4db6da158ff60af7c90 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 14:35:32 +0530 Subject: [PATCH 0175/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 95 ++++++++++--------- 1 file changed, 49 insertions(+), 46 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 25881588b..61bf5b282 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -1393,6 +1393,51 @@ components: type: string description: Nationality example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: |+ + + + 30000.00 + + + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: |+ + + + + + 30000.00 + + properties: + ELEMENTS : + type: string + description: Description + example: Sales Revenue Amount + YEAR : + type: string + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: string + description: Amount + example: 30000.00 LIST_Ddrptcount : type: array description: |+ @@ -1470,10 +1515,14 @@ components: Rcsep : type: string description: Count for September + example: + Rcoct : 1 example: 1 Rcoct : type: string description: Count for October + example: + Rcnov : 1 example: 1 Rcnov : type: string @@ -1503,52 +1552,6 @@ components: type: string description: Last update date example: - LIST_SALES_REVENUE_AMOUNT : - type: array - description: |+ - List of Sales Revenue Amount with following children: - [SALES_REVENUE_AMOUNT] - example: |+ - - - 30000.00 - - - items: - properties: - SALES_REVENUE_AMOUNT : - type: object - description: |+ - Sales Revenue Amount details with following children: - ELEMENTS - YEAR - CURRENCY - AMOUNT - example: |+ - - - - - 30000.00 - - properties: - ELEMENTS : - type: string - description: Description - example: Sales Revenue Amount - YEAR : - type: string - description: Year - example: 2008 - CURRENCY : - type: string - description: Currency - example: SGD - AMOUNT : - type: string - description: Amount - example: 30000.00 - unauthorized: type: object properties: From 289fbd39292429239747fc81214fae4e95309a3b Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 19:35:26 +1000 Subject: [PATCH 0176/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 61bf5b282..7f0f63f68 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -1515,15 +1515,11 @@ components: Rcsep : type: string description: Count for September - example: - Rcoct : 1 example: 1 Rcoct : type: string description: Count for October example: - Rcnov : 1 - example: 1 Rcnov : type: string description: Count for November From 0e77bdeb8dad3b7a92c150e056b2c6910fcd7147 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 15:06:39 +0530 Subject: [PATCH 0177/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 67f4022df..fea29af1c 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -121,6 +121,18 @@ type: array example: ["Nat","Sentient.io","Home","Inte","CONTACT","Join"] description: "name of location found in the text string" + misc: + type: array + example: ["Sentient.io","English"] + description: "name of misc found in the text string" + org: + type: array + example: ["Our Clients","AI","APIs","Sentient.io","Our Technology Partners","Named Entity Recognition","Our Investors"] + description: "name of org found in the text string" + per: + type: array + example: ["Sentient.io","Speech","LinkedIn"] + description: "name of persons found in the text string" message: type: string example: Successfully Processed From d63b353157f399dbcbf4138b8cd9d0c53b8fb5b8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 15:13:35 +0530 Subject: [PATCH 0178/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index 0c3d0c930..5978399b1 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -40,7 +40,7 @@ paths: - Immigration and Checkpoints Authority - ICA - LOA - status: Success + status: Success '401': description: Unauthorized content: From 2f6262caf7a9961b5c2fc7a4a4feb42e37887574 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 15:15:13 +0530 Subject: [PATCH 0179/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 34 ++++++++++++--------- 1 file changed, 19 insertions(+), 15 deletions(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index 5978399b1..0efc4c0e5 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -26,21 +26,25 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed - results: - loc: - - Hubei - - Singapore - - SINGAPORE - - China - - Immigration - misc: - - ICA.They - org: - - Immigration and Checkpoints Authority - - ICA - - LOA - status: Success + LOC: + - America + - Saudi Arabia + - Yemen + - Abqaiq + - Iraq + - Iran + - Khurais + MISC: + - Arabian + - American + - Saudi + - Iranian + - Shia + ORG: + - Houthi + PER: + - DONALD TRUMP + - Mike Pompeo '401': description: Unauthorized content: From 1a95c13bc6ff010f7ea463840093e88a651972f8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 15:18:30 +0530 Subject: [PATCH 0180/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 34 +++++++++------------ 1 file changed, 15 insertions(+), 19 deletions(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index 0efc4c0e5..0c3d0c930 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -26,25 +26,21 @@ paths: schema: $ref: '#/components/schemas/success' example: - LOC: - - America - - Saudi Arabia - - Yemen - - Abqaiq - - Iraq - - Iran - - Khurais - MISC: - - Arabian - - American - - Saudi - - Iranian - - Shia - ORG: - - Houthi - PER: - - DONALD TRUMP - - Mike Pompeo + message: Successfully Processed + results: + loc: + - Hubei + - Singapore + - SINGAPORE + - China + - Immigration + misc: + - ICA.They + org: + - Immigration and Checkpoints Authority + - ICA + - LOA + status: Success '401': description: Unauthorized content: From 2816f87c15bc61ac65f87763689d1ba1e0294f21 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 15:27:03 +0530 Subject: [PATCH 0181/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 27 +-------------------------- 1 file changed, 1 insertion(+), 26 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index fea29af1c..508af683d 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -25,32 +25,7 @@ application/json: schema: $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - loc: - - Nat - - Sentient.io - - Home - - Inte - - CONTACT - - Join - misc: - - Sentient.io - - English - org: - - Our Clients - - AI - - APIs - - Sentient.io - - Our Technology Partners - - Named Entity Recognition - - Our Investors - per: - - Sentient.io - - Speech - - LinkedIn - status: Success + example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} '401': description: Unauthorized content: From 02d9f73f78520ce87fe962a15e27f1fa64b101df Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 15:29:17 +0530 Subject: [PATCH 0182/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 17 +---------------- 1 file changed, 1 insertion(+), 16 deletions(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index 0c3d0c930..db929ced3 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -25,22 +25,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - loc: - - Hubei - - Singapore - - SINGAPORE - - China - - Immigration - misc: - - ICA.They - org: - - Immigration and Checkpoints Authority - - ICA - - LOA - status: Success + example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} '401': description: Unauthorized content: From 0f0825df323e15153776fcb92c9d3d4f8be50f2b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 15:31:11 +0530 Subject: [PATCH 0183/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index db929ced3..e109f5a37 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -127,7 +127,6 @@ components: type: string example: Success description: The status of the API call success/failure - unauthorized: type: object properties: From dd82abe0211308d643015344bc3ed38999aa23e0 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 15:58:00 +0530 Subject: [PATCH 0184/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index 27ed2cc4e..f168751a9 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -128,23 +128,23 @@ components: SERVICE: type: string description: Report requested - example: "" + example: "BC" SYSTEM_ID : type: string description: System ID - example: "" + example: "DDP" CREATION_DATE: type: datetime description: Report request date - example: "" + example: "Wed Apr 08 11:37:51 MYT 2009" USER_ID : type: string description: Valid user id in DDP system. It is for (For internal use) - example: "" + example: "N/A" CLASS: type: string description: Class location for metabean. It is for (For internal use) - example: "" + example: "N/A" REGISTRY_DETAIL : type: object example: |+ From a602dae9888a6cb8c568b5ed9265cf49c4abbb03 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:31:56 +0530 Subject: [PATCH 0185/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 7f0f63f68..bf675305f 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -1631,7 +1631,7 @@ components: ENQUIRY: type: object example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD + "197601887ETRANSTAR TRAVEL PTE LTD" description: Contains information of each request details default: true properties: From d5849a2315de482cde7f9fcdd42cc8c856d166e2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:33:18 +0530 Subject: [PATCH 0186/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index bf675305f..7f0f63f68 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -1631,7 +1631,7 @@ components: ENQUIRY: type: object example: |+ - "197601887ETRANSTAR TRAVEL PTE LTD" + 197601887ETRANSTAR TRAVEL PTE LTD description: Contains information of each request details default: true properties: From 68c5d2c50706ff88a72813f1263fc73b607e110f Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 21:06:46 +1000 Subject: [PATCH 0187/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index 7f0f63f68..aa857492e 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -540,7 +540,7 @@ components: description: Number of employee example: "300" LIST_BIZ_BRANCH : - type: object + type: array description: |+ List of Business Branches with following children: [BIZ_BRANCH] From 20f9bb63ca16b7f32d4eca54f6da400ef01c41dc Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 21:07:25 +1000 Subject: [PATCH 0188/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index f168751a9..f19d9a707 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -360,7 +360,7 @@ components: description: Number of employee example: "300" LIST_BIZ_BRANCH : - type: object + type: array description: |+ List of Business Branches with following children: [BIZ_BRANCH] From ba114a1aa40542c1ad9d93bcff248220401b8b4a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 21:09:33 +1000 Subject: [PATCH 0189/5916] Update page_profiler_jp.yaml --- yaml/page_profiler_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml index f85621573..68fc138e4 100644 --- a/yaml/page_profiler_jp.yaml +++ b/yaml/page_profiler_jp.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Page Profiler JP + title: Page Profiler JAP description: |+ This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. From 25f43d97e8b53a261350453e61eb18bf11f93739 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:45:52 +0530 Subject: [PATCH 0190/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 63 ++++++++++++++++--- 1 file changed, 53 insertions(+), 10 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 8d0d76220..c24c91310 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -86,13 +86,28 @@ components: properties: REPORT: type: object - example: "[META_INFO] [BASIC_INFO] [LIT_SEARCH_INFO] [LIST_CURRENT_COMP] [LIST_PREVIOUS_COMP] [LIST_BANKRUPTCY] [LIST_LIT] [LIST_LIT_DTL]" - description: Report + example: + description:|+ + Report details with following children: + [META_INFO] + [BASIC_INFO] + [LIT_SEARCH_INFO] + [LIST_CURRENT_COMP] + [LIST_PREVIOUS_COMP] + [LIST_BANKRUPTCY] + [LIST_LIT] + [LIST_LIT_DTL] properties: META_INFO: type: object - example: "SERVICE SYSTEM_ID CREATION_DATE USER_ID" - description: Meta Information + example: |+ + "SERVICE SYSTEM_ID CREATION_DATE USER_ID" + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID properties: SERVICE: type: string @@ -103,7 +118,7 @@ components: example: "" description: System ID CREATION_DATE: - type: string + type: datetime example: "25/02/2009 17:31:44.678" description: Report Request Date USER_ID : @@ -112,7 +127,12 @@ components: description: Valid user id in DDP system BASIC_INFO : type: object - description: Basic information + description: |+ + Basic Information with following children: + PA_REG_NO + ADDRESS1 + ADDRESS2 + ADDRESS3 example: PA_REG_NO ADDRESS1 ADDRESS2 ADDRESS3 properties: PA_REG_NO : @@ -134,7 +154,15 @@ components: LIT_SEARCH_INFO : type: object example: "COMP_NAME REG_NO REPORT_TYPE REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR" - description: Litigation search information + description: |+ + Litigation search information with following children: + COMP_NAME + REG_NO + REPORT_TYPE + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR properties: COMP_NAME: type: string @@ -149,7 +177,7 @@ components: description: Report Type example: "" REQ_DATE: - type: string + type: datetime description: Requested Date example: "25/02/2009 17:31:44" REQ_REG_NO: @@ -166,12 +194,27 @@ components: example: "" LIST_CURRENT_COMP : type: object - description: List of current companies + description: |+ + List of current companies with following children: + [CURRENT_COMP] example: "[CURRENT_COMP]" properties: CURRENT_COMP : type: object - description: Current companies detail + description: |+ + Current companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + PROFIT_VALUE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC example: "POSITION APPOINTMENT_DATE COMP_NAME SEQ_NO SHARE_VALUE1 COMP_STATUS PROFIT_VALUE SHARE_VALUE TEL FAX SIC SIC_DESC" properties: POSITION: From ed706279ba10e0efa73c49a2aa712482d71e047c Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:48:01 +0530 Subject: [PATCH 0191/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index c24c91310..cc92671ce 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -87,7 +87,7 @@ components: REPORT: type: object example: - description:|+ + description: |+ Report details with following children: [META_INFO] [BASIC_INFO] From edd5765a1d6e32f100b082517af3289dcd50b75f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:49:13 +0530 Subject: [PATCH 0192/5916] Update spacy_named-entity_recognition_eng.yaml --- yaml/spacy_named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/spacy_named-entity_recognition_eng.yaml b/yaml/spacy_named-entity_recognition_eng.yaml index cb1126044..9d2091663 100644 --- a/yaml/spacy_named-entity_recognition_eng.yaml +++ b/yaml/spacy_named-entity_recognition_eng.yaml @@ -5,7 +5,7 @@ info: This NLP microservice locates and classifies the named-entities classes from input unstructured English text. The named-entity classes extracted are - PERSON, NORP, FAC, ORG, GPE, LOC, PRODUCT, EVENT, WORK_OF_ART, LAW, LANGUAGE, DATE, TIME, PERCENT, MONEY, QUANTITY, ORDINAL, CARDINAL + person, norp, fac, org, gpe, loc, product, event, work_of_art, law, language, date, time, percent, money, quantity, ordinal, cardinal This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '0.1' From 1d9a54a5597cfec80a2f8d17f0b953b3d206bc61 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:49:58 +0530 Subject: [PATCH 0193/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index cc92671ce..85fbb577a 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -87,7 +87,7 @@ components: REPORT: type: object example: - description: |+ + description: Report details with following children: [META_INFO] [BASIC_INFO] From 27f8e562decac6283bd6f0757de188117cef6653 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:51:51 +0530 Subject: [PATCH 0194/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 85fbb577a..ead0288b6 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -86,8 +86,8 @@ components: properties: REPORT: type: object - example: - description: + example: + description: |+ Report details with following children: [META_INFO] [BASIC_INFO] From 3bb0dce532661a760e15e33a4678b5e4142435d7 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:53:16 +0530 Subject: [PATCH 0195/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index ead0288b6..b394426ee 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -100,9 +100,8 @@ components: properties: META_INFO: type: object - example: |+ - "SERVICE SYSTEM_ID CREATION_DATE USER_ID" - description: |+ + example: + description: |+ Meta Information details with following children: SERVICE SYSTEM_ID From e68ede3c7fdacdeb427c63eddcc42d839440e091 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:54:21 +0530 Subject: [PATCH 0196/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index b394426ee..42b8c4b82 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -102,11 +102,11 @@ components: type: object example: description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID properties: SERVICE: type: string From d7869ff30272f45d2e9e7a81a9209eabcfd79a69 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 21:27:34 +1000 Subject: [PATCH 0197/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 130 +++++++++++++----- 1 file changed, 99 insertions(+), 31 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 76ede3e56..e9ef6cb95 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Brief Financial Info Dun & Bradstreet (SG) + title: Brief Financial Extraction Dun & Bradstreet (SG) description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. version: '0.1' servers: @@ -85,114 +85,182 @@ components: properties: REPORT: type: object - description: Report - example: "[META_INFO] [FH_SEARCH_INFO] [FH_DTL] [XBRL_DTL] [FH_RATIO_DTL] [LIST_FH_CHART_INFO]" + description: |+ + Report details with following children: + [META_INFO] + [FH_SEARCH_INFO] + [FH_DTL] + [XBRL_DTL] + [FH_RATIO_DTL] + [LIST_FH_CHART_INFO] + example: properties: META_INFO: type: object - description: Information - example: SERVICE SYSTEM_ID CREATION_DATE USER_ID + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + example: properties: SERVICE: type: string description: Report Requested - example: "" + example: "BFE" SYSTEM_ID : type: string description: System ID - example: "" + example: "DDP" CREATION_DATE: type: string description: Report Request Date example: "25/02/2009 17:31:44" USER_ID : type: string - description: Valid user id in DDP system - example: "" + description: Valid user id in DDP system. It is for (For internal use) + example: N/A FH_SEARCH_INFO: type: object - description: FH search information - example: COMP_NAME REG_NO REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR FH_BEFORE_YR1 FH_BEFORE_YR2 FH_BEFORE_YR3 FH_BEFORE_YR4 FH_BEFORE_YR5 FH_AFTER_YR1 FH_AFTER_YR2 FH_AFTER_YR3 FH_AFTER_YR4 FH_AFTER_YR5 AC_RATIOS_YR1 AC_RATIOS_YR2 AC_RATIOS_YR3 AC_RATIOS_YR4 AC_RATIOS_YR5 + description: |+ + FH search information with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + FH_BEFORE_YR1 + FH_BEFORE_YR2 + FH_BEFORE_YR3 + FH_BEFORE_YR4 + FH_BEFORE_YR5 + FH_AFTER_YR1 + FH_AFTER_YR2 + FH_AFTER_YR3 + FH_AFTER_YR4 + FH_AFTER_YR5 + AC_RATIOS_YR1 + AC_RATIOS_YR2 + AC_RATIOS_YR3 + AC_RATIOS_YR4 + AC_RATIOS_YR5 + example: properties: COMP_NAME : type: string description: Company Name - example: "" + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." REG_NO : type: string description: Company Registration No - example: "" + example: "200003058W" REQ_DATE : - type: string + type: datetime description: Requested Date example: "2009-04-21 10:56:06.716" REQ_REG_NO : type: string description: Request Registration Number - example: "" + example: "200003058W" REQ_NAME : type: string description: Request Name - example: "" + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." REQ_DATE_STR : type: string description: Request Date String - example: "" + example: "21/04/2009 10:56:06" FH_BEFORE_YR1 : - type: string + type: integer description: Financial Highlight filed before year 1 example: "2004" FH_BEFORE_YR2 : - type: string + type: integer description: Financial Highlight filed before year 2 example: "2003" FH_BEFORE_YR3 : - type: string + type: integer description: Financial Highlight filed before year 3 example: "2002" FH_AFTER_YR1: - type: string + type: integer description: Financial Highlight filed after year 1 example: "2005" FH_AFTER_YR2 : - type: string + type: integer description: Financial Highlight filed after year 2 example: "2006" FH_AFTER_YR3 : - type: string + type: integer description: Financial Highlight filed after year 3 example: "2007" FH_AFTER_YR4: - type: string + type: integer description: Financial Highlight filed after year 4 example: "2008" FH_AFTER_YR5: - type: string + type: integer description: Financial Highlight filed after year 5 example: "2009" AC_RATIOS_YR1 : - type: string + type: integer description: Account Ratio year 1 example: "2008" AC_RATIOS_YR2 : - type: string + type: integer description: Account Ratio year 2 example: "2007" AC_RATIOS_YR3 : - type: string + type: integer description: Account Ratio year 3 example: "2006" AC_RATIOS_YR4 : - type: string + type: integer description: Account Ratio year 4 example: "2005" AC_RATIOS_YR5 : - type: string + type: integer description: Account Ratio year 5 example: "2004" FH_DTL: type: object - description: Financial Highlight + description: |+ + Financial Highlight with following children: + FH_YR1_CURR + TURNOVER1 + PL_BEF_TAX1 + PL_AFT_TAX1 + NETINC_NON_EXT1 + PL_AFT_TAX_EXT1 + TOT_ASSETS1 + TA_CURRENT1 + TA_FIXED1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + SH_FUNDS1 + SH_PAIDUP_CAPITAL1 + SH_RESERVES1 + SH_ACCUM_LOSS1 + GRP_TURNOVER1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_NETINC_NON_EXT1 + GRP_PL_AFT_TAX_EXT1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_FIXED1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_SH_FUNDS1 + GRP_SH_PAIDUP_CAPITAL1 + GRP_SH_RESERVES1 + GRP_SH_ACCUM_LOSS1 + GRP_INDICATOR1 + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. properties: FH_YR1_CURR : type: string From 70c7c8c556df9613b1276b6e6e564ee0392e126a Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:58:14 +0530 Subject: [PATCH 0198/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 42b8c4b82..a9c702454 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -100,7 +100,7 @@ components: properties: META_INFO: type: object - example: + example: description: |+ Meta Information details with following children: SERVICE From 00ba86b4727e8fd6572ec4fcae5e4200ad189b03 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 16:59:59 +0530 Subject: [PATCH 0199/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index a9c702454..f46224fcb 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -196,7 +196,7 @@ components: description: |+ List of current companies with following children: [CURRENT_COMP] - example: "[CURRENT_COMP]" + example: properties: CURRENT_COMP : type: object From a67565a3ac0275a66f584422da777e6a7a17d70a Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:01:00 +0530 Subject: [PATCH 0200/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index f46224fcb..35978e9ec 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -194,8 +194,8 @@ components: LIST_CURRENT_COMP : type: object description: |+ - List of current companies with following children: - [CURRENT_COMP] + List of current companies with following children: + [CURRENT_COMP] example: properties: CURRENT_COMP : From fb40a66a43c7964bcc69f9d6c43a20dde2aad28b Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:02:06 +0530 Subject: [PATCH 0201/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 35978e9ec..33e85e47a 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -193,12 +193,12 @@ components: example: "" LIST_CURRENT_COMP : type: object - description: |+ + description: |+ List of current companies with following children: [CURRENT_COMP] example: properties: - CURRENT_COMP : + CURRENT_COMP: type: object description: |+ Current companies detail with following children: From 3d4fb3dafb7125f49e1bb5deddd0dee732d2ff64 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 21:45:08 +1000 Subject: [PATCH 0202/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 266 +++++++++++------- 1 file changed, 170 insertions(+), 96 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index e9ef6cb95..50dbb6e79 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -260,296 +260,370 @@ components: GRP_SH_RESERVES1 GRP_SH_ACCUM_LOSS1 GRP_INDICATOR1 - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. + example: properties: FH_YR1_CURR : type: string - description: Financial Highlight filed current year 1 - FH_YR2_CURR : - type: string - description: Financial Highlight filed current year 2 - FH_YR3_CURR : - type: string - description: Financial Highlight filed current year 3 + description: |+ + FH Before Year 1 Currency + Subsequent Years: + FH_YR2_CURR + FH_YR3_CURR + FH_YR4_CURR + FH_YR5_CURR + example: TURNOVER1 : - type: string - description: Turnover 1 - TURNOVER2: - type: string - description: Turnover 2 - TURNOVER3 : - type: string - description: Turnover 3 + type: float + description: |+ + Turnover / Sales And Other Operating Revenues + Subsequent Years: + TURNOVER2 + TURNOVER3 + TURNOVER4 + TURNOVER5 + example: PL_BEF_TAX1 : - type: string - description: Profit / Loss Before Tax 1 - PL_BEF_TAX2 : - type: string - description: Profit / Loss Before Tax 2 - PL_BEF_TAX3 : - type: string - description: Profit / Loss Before Tax 3 + type: float + description: |+ + Profit / Loss Before Tax + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: PL_AFT_TAX1: - type: string - description: Profit / Loss After Tax 1 - PL_AFT_TAX2 : - type: string - description: Profit / Loss After Tax 2 - PL_AFT_TAX3 : - type: string - description: Profit / Loss After Tax 3 + type: float + description: |+ + Profit / Loss After Tax + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: NETINC_NON_EXT1: - type: string - description: Net Income / Loss From Extraordinary And Non- Operating Items 1 - NETINC_NON_EXT2: - type: string - description: Net Income / Loss From Extraordinary And Non- Operating Items 2 - NETINC_NON_EXT3 : - type: string - description: Net Income / Loss From Extraordinary And Non- Operating Items 3 + type: float + description: |+ + Net Income / Loss From Extraordinary And Non- Operating Items + Subsequent Years: + NETINC_NON_EXT2 + NETINC_NON_EXT3 + NETINC_NON_EXT4 + NETINC_NON_EXT5 + example: PL_AFT_TAX_EXT1 : - type: string - description: Profit / Loss After Tax 1 - PL_AFT_TAX_EXT2 : - type: string - description: Profit / Loss After Tax 2 - PL_AFT_TAX_EXT3 : - type: string - description: Profit / Loss After Tax 3 + type: float + description: |+ + Profit / Loss After Tax and Extraordinary Items + Subsequent Years: + PL_AFT_TAX_EXT2 + PL_AFT_TAX_EXT3 + PL_AFT_TAX_EXT4 + PL_AFT_TAX_EXT5 + example: TOT_ASSETS1 : - type: string - description: Total Assets 1 - TOT_ASSETS2 : - type: string - description: Total Assets 2 - TOT_ASSETS3: - type: string - description: Total Assets 3 + type: float + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: TA_CURRENT1 : - type: string - description: Total Assets - Current 1 - TA_CURRENT2 : - type: string - description: Total Assets - Current 2 - TA_CURRENT3 : - type: string - description: Total Assets - Current 3 + type: float + description: |+ + Total Assets - Current + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: TA_FIXED1 : - type: string - description: Total Assets – Fixed and Others 1 - TA_FIXED2: - type: string - description: Total Assets – Fixed and Others 1 - TA_FIXED3 : - type: string - description: Total Assets – Fixed and Others 1 + type: float + description: |+ + Total Assets – Fixed and Others + Subsequent Years: + TA_FIXED2 + TA_FIXED3 + TA_FIXED4 + TA_FIXED5 + example: TOT_LIABILITIES1 : - type: string - description: Total Liabilities 1 - TOT_LIABILITIES2: - type: string - description: Total Liabilities 2 - TOT_LIABILITIES3: - type: string - description: Total Liabilities 3 + type: float + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: TL_CURRENT1 : - type: string - description: Total Liabilities - Current 1 - TL_CURRENT2 : - type: string - description: Total Liabilities - Current 1 - TL_CURRENT3 : - type: string - description: Total Liabilities - Current 1 + type: float + description: |+ + Total Liabilities - Current + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: TL_NON_CURRENT1 : - type: string - description: Total Liabilities - Current 1 - TL_NON_CURRENT2 : - type: string - description: Total Liabilities - Current 1 - TL_NON_CURRENT3 : - type: string - description: Total Liabilities - Current 1 + type: float + description: |+ + Total Liabilities – Non- Current & Long Term + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: SH_FUNDS1: type: string description: Shareholder’s Fund 1 + example: SH_FUNDS2 : type: string description: Shareholder’s Fund 2 + example: SH_FUNDS3 : type: string description: Shareholder’s Fund 3 + example: SH_PAIDUP_CAPITAL1 : type: string description: Shareholder’s Fund – Paid Up Capital 1 + example: SH_PAIDUP_CAPITAL2 : type: string description: Shareholder’s Fund – Paid Up Capital 2 + example: SH_PAIDUP_CAPITAL3: type: string description: Shareholder’s Fund – Paid Up Capital 3 + example: SH_RESERVES1 : type: string description: Shareholder’s Fund - Reserves 1 + example: SH_RESERVES2 : type: string description: Shareholder’s Fund - Reserves 2 + example: SH_RESERVES3: type: string description: Shareholder’s Fund - Reserves 3 + example: SH_ACCUM_LOSS1: type: string description: Shareholder’s Fund – Accumulated Loss 1 + example: SH_ACCUM_LOSS2 : type: string description: Shareholder’s Fund – Accumulated Loss 2 + example: SH_ACCUM_LOSS3 : type: string description: Shareholder’s Fund – Accumulated Loss 3 + example: GRP_TURNOVER1 : type: string description: Group Turnover / Sales and Other Operating Revenues 1 + example: GRP_TURNOVER2 : type: string description: Group Turnover / Sales and Other Operating Revenues 2 + example: GRP_TURNOVER3 : type: string description: Group Turnover / Sales and Other Operating Revenues 3 + example: GRP_PL_BEF_TAX1 : type: string description: Group Profit / Loss Before Tax 1 + example: GRP_PL_BEF_TAX2 : type: string description: Group Profit / Loss Before Tax 2 + example: GRP_PL_BEF_TAX3 : type: string description: Group Profit / Loss Before Tax 3 + example: GRP_PL_AFT_TAX1 : type: string description: Group Profit / Loss After Tax 1 + example: GRP_PL_AFT_TAX2: type: string description: Group Profit / Loss After Tax 2 + example: GRP_PL_AFT_TAX3 : type: string description: Group Profit / Loss After Tax 3 + example: GRP_NETINC_NON_EXT1 : type: string description: Group Net Income / Loss From Extraordinary and Non-Operating Items 1 + example: GRP_NETINC_NON_EXT2 : type: string description: Group Net Income / Loss From Extraordinary and Non-Operating Items 2 + example: GRP_NETINC_NON_EXT3 : type: string description: Group Net Income / Loss From Extraordinary and Non-Operating Items 3 + example: GRP_PL_AFT_TAX_EXT1: type: string description: Group Profit / Loss After Tax and Extraordinary items 1 + example: GRP_PL_AFT_TAX_EXT2 : type: string description: Group Profit / Loss After Tax and Extraordinary items 2 + example: GRP_PL_AFT_TAX_EXT3 : type: string description: Group Profit / Loss After Tax and Extraordinary items 3 + example: GRP_TOT_ASSETS1: type: string description: Group Total Assets 1 + example: GRP_TOT_ASSETS2: type: string description: Group Total Assets 2 + example: GRP_TOT_ASSETS3 : type: string description: Group Total Assets 3 + example: GRP_TA_CURRENT1 : type: string description: Group Total Assets – Current 1 + example: GRP_TA_CURRENT2 : type: string description: Group Total Assets – Current 2 + example: GRP_TA_CURRENT3 : type: string description: Group Total Assets – Current 3 + example: GRP_TA_FIXED1 : type: string description: Group Total Assets – Fixed and Others 1 + example: GRP_TA_FIXED2 : type: string description: Group Total Assets – Fixed and Others 2 + example: GRP_TA_FIXED3: type: string description: Group Total Assets – Fixed and Others 3 + example: GRP_TOT_LIABILITIES1 : type: string description: Group Total Liabilities 1 + example: GRP_TOT_LIABILITIES2 : type: string description: Group Total Liabilities 2 + example: GRP_TOT_LIABILITIES3 : type: string description: Group Total Liabilities 3 + example: GRP_TL_CURRENT1 : type: string description: Group Total Liabilities - Current 1 + example: GRP_TL_CURRENT2: type: string description: Group Total Liabilities - Current 2 + example: GRP_TL_CURRENT3 : type: string description: Group Total Liabilities - Current 3 + example: GRP_TL_NON_CURRENT1 : type: string description: Group Total Liabilities – Non-Current & Long Term 1 + example: GRP_TL_NON_CURRENT2: type: string description: Group Total Liabilities – Non-Current & Long Term 2 + example: GRP_TL_NON_CURRENT3: type: string description: Group Total Liabilities – Non-Current & Long Term 3 + example: GRP_SH_FUNDS1 : type: string description: Group Shareholder’s Fund 1 + example: GRP_SH_FUNDS2 : type: string description: Group Shareholder’s Fund 2 + example: GRP_SH_FUNDS3 : type: string description: Group Shareholder’s Fund 3 + example: GRP_SH_PAIDUP_CAPITAL1 : type: string description: Group Shareholder’s Fund – Paid Up Capital 1 + example: GRP_SH_PAIDUP_CAPITAL2 : type: string description: Group Shareholder’s Fund – Paid Up Capital 2 + example: GRP_SH_PAIDUP_CAPITAL3 : type: string description: Group Shareholder’s Fund – Paid Up Capital 3 + example: GRP_SH_RESERVES1: type: string description: Group Shareholder’s Fund - Reserves 1 + example: GRP_SH_RESERVES2 : type: string description: Group Shareholder’s Fund - Reserves 2 + example: GRP_SH_RESERVES3 : type: string description: Group Shareholder’s Fund - Reserves 3 + example: GRP_SH_ACCUM_LOSS1 : type: string description: Group Shareholder’s Fund – Accumulated Loss 1 + example: GRP_SH_ACCUM_LOSS2 : type: string description: Group Shareholder’s Fund – Accumulated Loss 2 + example: GRP_SH_ACCUM_LOSS3: type: string description: Group Shareholder’s Fund – Accumulated Loss 3 + example: GRP_INDICATOR1 : type: string description: Company Financial Highlights Group Indicator 1 + example: GRP_INDICATOR2 : type: string description: Company Financial Highlights Group Indicator 2 + example: GRP_INDICATOR3: type: string description: Company Financial Highlights Group Indicator 3 + example: XBRL_DTL: type: object description: XBRL filed after 1 Nov 2007. Note:Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. From cca81f80fe3116241af068b9f96ee9700819f294 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:20:16 +0530 Subject: [PATCH 0203/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 26 +++++++++---------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 33e85e47a..f3029e68f 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -201,19 +201,19 @@ components: CURRENT_COMP: type: object description: |+ - Current companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - PROFIT_VALUE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC + Current companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + PROFIT_VALUE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC example: "POSITION APPOINTMENT_DATE COMP_NAME SEQ_NO SHARE_VALUE1 COMP_STATUS PROFIT_VALUE SHARE_VALUE TEL FAX SIC SIC_DESC" properties: POSITION: From 286efc997c7af1643236361ae1919bc592a414a8 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:21:43 +0530 Subject: [PATCH 0204/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index f3029e68f..cf2b5bf09 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -214,7 +214,8 @@ components: FAX SIC SIC_DESC - example: "POSITION APPOINTMENT_DATE COMP_NAME SEQ_NO SHARE_VALUE1 COMP_STATUS PROFIT_VALUE SHARE_VALUE TEL FAX SIC SIC_DESC" + example: |+ + "POSITION APPOINTMENT_DATE COMP_NAME SEQ_NO SHARE_VALUE1 COMP_STATUS PROFIT_VALUE SHARE_VALUE TEL FAX SIC SIC_DESC" properties: POSITION: type: string From 619ea74fcf06e1c3accb1b4fe41d354da5eed5fc Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:22:55 +0530 Subject: [PATCH 0205/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index cf2b5bf09..1433067e5 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -215,7 +215,6 @@ components: SIC SIC_DESC example: |+ - "POSITION APPOINTMENT_DATE COMP_NAME SEQ_NO SHARE_VALUE1 COMP_STATUS PROFIT_VALUE SHARE_VALUE TEL FAX SIC SIC_DESC" properties: POSITION: type: string From ec112df853037071bc353fb5c8c8a6ae12d8817d Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:24:53 +0530 Subject: [PATCH 0206/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 1433067e5..a8699746d 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -214,7 +214,7 @@ components: FAX SIC SIC_DESC - example: |+ + example: properties: POSITION: type: string From 157bc937237cabe7efae91e1a7747fc7c99d53d0 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:25:46 +0530 Subject: [PATCH 0207/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index a8699746d..353591d02 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -214,7 +214,7 @@ components: FAX SIC SIC_DESC - example: + example: properties: POSITION: type: string From bbc88854356508062350a3f649e1e08514d4d8d6 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:27:32 +0530 Subject: [PATCH 0208/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 353591d02..caf35cfba 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -214,7 +214,7 @@ components: FAX SIC SIC_DESC - example: + example: properties: POSITION: type: string From 56ed81990d22cb59aedeaae9965c2c007eeb2a95 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:30:10 +0530 Subject: [PATCH 0209/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index caf35cfba..1433067e5 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -214,7 +214,7 @@ components: FAX SIC SIC_DESC - example: + example: |+ properties: POSITION: type: string From d771969cdde07dc11f255ad0b6faebe9c5becaa9 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:49:25 +0530 Subject: [PATCH 0210/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 1433067e5..ab695c70c 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -275,7 +275,9 @@ components: LIST_PREVIOUS_COMP: type: array example: "[PREVIOUS_COMP]" - description: List of previous companies + description: |+ + List of previous companies with following children: + [PREVIOUS_COMP] items: properties: PREVIOUS_COMP : From 0bb6c4a320d07d9e1f5e4931035b7950899914c8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 17:55:54 +0530 Subject: [PATCH 0211/5916] Update BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 55 ++++++++++--------- 1 file changed, 28 insertions(+), 27 deletions(-) diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml index aa857492e..71dce2d07 100644 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml @@ -551,33 +551,34 @@ components: - properties: - BIZ_BRANCH : - type: object - description: |+ - Business Branches with following children: - ADDR_BUILDING - ADDR_POSTCODE - ADDR_ADDRESS1 - example: |+ - - - - - - properties: - ADDR_BUILDING: - type: string - description: Building Name - example: - ADDR_POSTCODE: - type: string - description: Postcode - example: 289848 - ADDR_ADDRESS1: - type: string - description: Address - example: 251A ARCADIA ROAD + items: + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: |+ + + + + + + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD LIST_REG_CHARGES: type: array description: |+ From 96323ff5608c0db8de6c539b5c241364e8512a53 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Tue, 29 Sep 2020 18:04:45 +0530 Subject: [PATCH 0212/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 107 +++++++++++++++++- 1 file changed, 102 insertions(+), 5 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index ab695c70c..e0f4f9d18 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -282,81 +282,178 @@ components: properties: PREVIOUS_COMP : type: object + description: |+ + Previous companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + CESSATION_DATE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: properties: POSITION : type: string + description: Position + example: APPOINTMENT_DATE: type: string + description: Appointment Date + example: COMP_NAME: type: string + description: Company Name + example: SEQ_NO: type: string + description: Company Registration No. + example: SHARE_VALUE1: type: string + description: Share Value Percentage + example: COMP_STATUS: type: string + description: Company Status + example: CESSATION_DATE : type: string + description: Cessation Date + example: SHARE_VALUE: type: string + description: Number Of Shares + example: TEL: type: string + description: Telephone Number + example: FAX: type: string + description: Fax Number + example: SIC: type: string + description: SIC Code + example: SIC_DESC: - type: string + type: string + description: SIC Description + example: LIST_BANKRUPTCY: type: array - description: Bankruptcy/ Winding up + description: |+ + Bankruptcy/ Winding up with following children: + [BANKRUPTCY] example: "[BANKRUPTCY]" items: properties: BANKRUPTCY : type: object + description: |+ + Bankruptcy/Winding up detail with following children: + SUBJECT_NAME + COURT_CODE + CASE_CODE + CASE_YEAR + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + BANKRUPTCY_TYPE + [LIST_PLAINTIFF] + example: properties: SUBJECT_NAME : type: string + description: + example: COURT_CODE: type: string + description: + example: CASE_CODE: type: string + description: + example: CASE_YEAR: type: string + description: + example: ACTION_DATE: type: string + description: + example: BANKRUPTCY_ACT: type: string + description: + example: HEARING_DATE : type: string + description: + example: CURRENCY1: type: string + description: + example: AMOUNT1: type: string + description: + example: CURRENCY2: type: string + description: + example: AMOUNT2: type: string + description: + example: CURRENCY3: - type: string + type: string + description: + example: BANKRUPTCY_TYPE: - type: string + type: string + description: + example: LIST_PLAINTIFF: type: array + description: + example: items: properties: PLAINTIFF: type: object + description: + example: properties: PLA_NAME: type: string + description: + example: PLA_SOLICITOR: type: string + description: + example: PLA_SOLICITOR_ID: type: string + description: + example: PLA_FILE_REF: - type: string + type: string + description: + example: LIST_LIT: type: array description: List of litigation From 023caf3c0187124354041f9015e4ebd0bed61495 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 22:50:38 +1000 Subject: [PATCH 0213/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 587 ++++++++---------- 1 file changed, 242 insertions(+), 345 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 50dbb6e79..a4c85771d 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -386,423 +386,320 @@ components: example: SH_FUNDS1: type: string - description: Shareholder’s Fund 1 - example: - SH_FUNDS2 : - type: string - description: Shareholder’s Fund 2 - example: - SH_FUNDS3 : - type: string - description: Shareholder’s Fund 3 + description: |+ + Shareholder’s Fund + Subsequent Years: + SH_FUNDS2 + SH_FUNDS3 + SH_FUNDS4 + SH_FUNDS5 example: SH_PAIDUP_CAPITAL1 : type: string - description: Shareholder’s Fund – Paid Up Capital 1 - example: - SH_PAIDUP_CAPITAL2 : - type: string - description: Shareholder’s Fund – Paid Up Capital 2 - example: - SH_PAIDUP_CAPITAL3: - type: string - description: Shareholder’s Fund – Paid Up Capital 3 + description: |+ + Shareholder’s Fund – Paid Up Capital + Subsequent Years: + SH_PAIDUP_CAPITAL2 + SH_PAIDUP_CAPITAL3 + SH_PAIDUP_CAPITAL4 + SH_PAIDUP_CAPITAL5 example: SH_RESERVES1 : type: string - description: Shareholder’s Fund - Reserves 1 - example: - SH_RESERVES2 : - type: string - description: Shareholder’s Fund - Reserves 2 - example: - SH_RESERVES3: - type: string - description: Shareholder’s Fund - Reserves 3 + description: |+ + Shareholder’s Fund - Reserves + Subsequent Years: + SH_RESERVES2 + SH_RESERVES3 + SH_RESERVES4 + SH_RESERVES5 example: SH_ACCUM_LOSS1: type: string - description: Shareholder’s Fund – Accumulated Loss 1 - example: - SH_ACCUM_LOSS2 : - type: string - description: Shareholder’s Fund – Accumulated Loss 2 - example: - SH_ACCUM_LOSS3 : - type: string - description: Shareholder’s Fund – Accumulated Loss 3 + description: |+ + Shareholder’s Fund – Accumulated Loss + Subsequent Years: + SH_ACCUM_LOSS2 + SH_ACCUM_LOSS3 + SH_ACCUM_LOSS4 + SH_ACCUM_LOSS5 example: GRP_TURNOVER1 : type: string - description: Group Turnover / Sales and Other Operating Revenues 1 - example: - GRP_TURNOVER2 : - type: string - description: Group Turnover / Sales and Other Operating Revenues 2 - example: - GRP_TURNOVER3 : - type: string - description: Group Turnover / Sales and Other Operating Revenues 3 + description: |+ + Group Turnover / Sales and Other Operating Revenues + Subsequent Years: + GRP_TURNOVER2 + GRP_TURNOVER3 + GRP_TURNOVER4 + GRP_TURNOVER5 example: GRP_PL_BEF_TAX1 : type: string - description: Group Profit / Loss Before Tax 1 - example: - GRP_PL_BEF_TAX2 : - type: string - description: Group Profit / Loss Before Tax 2 - example: - GRP_PL_BEF_TAX3 : - type: string - description: Group Profit / Loss Before Tax 3 + description: |+ + Group Profit / Loss Before Tax + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 example: GRP_PL_AFT_TAX1 : type: string - description: Group Profit / Loss After Tax 1 - example: - GRP_PL_AFT_TAX2: - type: string - description: Group Profit / Loss After Tax 2 - example: - GRP_PL_AFT_TAX3 : - type: string - description: Group Profit / Loss After Tax 3 + description: |+ + Group Profit / Loss After Tax + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 example: GRP_NETINC_NON_EXT1 : type: string - description: Group Net Income / Loss From Extraordinary and Non-Operating Items 1 - example: - GRP_NETINC_NON_EXT2 : - type: string - description: Group Net Income / Loss From Extraordinary and Non-Operating Items 2 - example: - GRP_NETINC_NON_EXT3 : - type: string - description: Group Net Income / Loss From Extraordinary and Non-Operating Items 3 + description: |+ + Group Net Income / Loss From Extraordinary and Non-Operating Items + Subsequent Years: + GRP_NETINC_NON_EXT2 + GRP_NETINC_NON_EXT3 + GRP_NETINC_NON_EXT4 + GRP_NETINC_NON_EXT5 example: GRP_PL_AFT_TAX_EXT1: type: string - description: Group Profit / Loss After Tax and Extraordinary items 1 - example: - GRP_PL_AFT_TAX_EXT2 : - type: string - description: Group Profit / Loss After Tax and Extraordinary items 2 - example: - GRP_PL_AFT_TAX_EXT3 : - type: string - description: Group Profit / Loss After Tax and Extraordinary items 3 + description: |+ + Group Profit / Loss After Tax and Extraordinary items + Subsequent Years: + GRP_ PL_AFT_TAX_EXT2 + GRP_ PL_AFT_TAX_EXT3 + GRP_ PL_AFT_TAX_EXT4 + GRP_ PL_AFT_TAX_EXT5 example: GRP_TOT_ASSETS1: type: string - description: Group Total Assets 1 - example: - GRP_TOT_ASSETS2: - type: string - description: Group Total Assets 2 - example: - GRP_TOT_ASSETS3 : - type: string - description: Group Total Assets 3 + description: |+ + Group Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 example: GRP_TA_CURRENT1 : type: string - description: Group Total Assets – Current 1 - example: - GRP_TA_CURRENT2 : - type: string - description: Group Total Assets – Current 2 - example: - GRP_TA_CURRENT3 : - type: string - description: Group Total Assets – Current 3 + description: |+ + Group Total Assets – Current + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT5 example: GRP_TA_FIXED1 : - type: string - description: Group Total Assets – Fixed and Others 1 - example: - GRP_TA_FIXED2 : - type: string - description: Group Total Assets – Fixed and Others 2 - example: - GRP_TA_FIXED3: type: string - description: Group Total Assets – Fixed and Others 3 + description: |+ + Group Total Assets – Fixed and Others + Subsequent Years: + GRP_TA_FIXED2 + GRP_TA_FIXED3 + GRP_TA_FIXED4 + GRP_TA_FIXED5 example: GRP_TOT_LIABILITIES1 : type: string - description: Group Total Liabilities 1 - example: - GRP_TOT_LIABILITIES2 : - type: string - description: Group Total Liabilities 2 - example: - GRP_TOT_LIABILITIES3 : - type: string - description: Group Total Liabilities 3 + description: |+ + Group Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 example: GRP_TL_CURRENT1 : type: string - description: Group Total Liabilities - Current 1 - example: - GRP_TL_CURRENT2: - type: string - description: Group Total Liabilities - Current 2 - example: - GRP_TL_CURRENT3 : - type: string - description: Group Total Liabilities - Current 3 + description: |+ + Group Total Liabilities - Current + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 example: GRP_TL_NON_CURRENT1 : type: string - description: Group Total Liabilities – Non-Current & Long Term 1 - example: - GRP_TL_NON_CURRENT2: - type: string - description: Group Total Liabilities – Non-Current & Long Term 2 - example: - GRP_TL_NON_CURRENT3: - type: string - description: Group Total Liabilities – Non-Current & Long Term 3 - example: + description: |+ + Group Total Liabilities – Non-Current & Long Term + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: GRP_SH_FUNDS1 : type: string - description: Group Shareholder’s Fund 1 - example: - GRP_SH_FUNDS2 : - type: string - description: Group Shareholder’s Fund 2 - example: - GRP_SH_FUNDS3 : - type: string - description: Group Shareholder’s Fund 3 + description: |+ + Group Shareholder’s Fund + Subsequent Years: + GRP_ SH_FUNDS2 + GRP_ SH_FUNDS3 + GRP_ SH_FUNDS4 + GRP_ SH_FUNDS5 example: GRP_SH_PAIDUP_CAPITAL1 : type: string - description: Group Shareholder’s Fund – Paid Up Capital 1 - example: - GRP_SH_PAIDUP_CAPITAL2 : - type: string - description: Group Shareholder’s Fund – Paid Up Capital 2 - example: - GRP_SH_PAIDUP_CAPITAL3 : - type: string - description: Group Shareholder’s Fund – Paid Up Capital 3 + description: |+ + Group Shareholder’s Fund – Paid Up Capital + Subsequent Years: + GRP_SH_PAIDUP_CAPITAL2 + GRP_SH_PAIDUP_CAPITAL3 + GRP_SH_PAIDUP_CAPITAL4 + GRP_SH_PAIDUP_CAPITAL5 example: GRP_SH_RESERVES1: type: string - description: Group Shareholder’s Fund - Reserves 1 - example: - GRP_SH_RESERVES2 : - type: string - description: Group Shareholder’s Fund - Reserves 2 - example: - GRP_SH_RESERVES3 : - type: string - description: Group Shareholder’s Fund - Reserves 3 + description: |+ + Group Shareholder’s Fund - Reserves + Subsequent Years: + GRP_SH_RESERVES2 + GRP_SH_RESERVES3 + GRP_SH_RESERVES4 + GRP_SH_RESERVES5 example: GRP_SH_ACCUM_LOSS1 : type: string - description: Group Shareholder’s Fund – Accumulated Loss 1 - example: - GRP_SH_ACCUM_LOSS2 : - type: string - description: Group Shareholder’s Fund – Accumulated Loss 2 - example: - GRP_SH_ACCUM_LOSS3: - type: string - description: Group Shareholder’s Fund – Accumulated Loss 3 + description: |+ + Group Shareholder’s Fund – Accumulated Loss + Subsequent Years: + GRP_SH_ACCUM_LOSS2 + GRP_SH_ACCUM_LOSS3 + GRP_SH_ACCUM_LOSS4 + GRP_SH_ACCUM_LOSS5 example: GRP_INDICATOR1 : type: string - description: Company Financial Highlights Group Indicator 1 - example: - GRP_INDICATOR2 : - type: string - description: Company Financial Highlights Group Indicator 2 - example: - GRP_INDICATOR3: - type: string - description: Company Financial Highlights Group Indicator 3 + description: |+ + Company Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 example: XBRL_DTL: type: object - description: XBRL filed after 1 Nov 2007. Note:Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. - example: "XBRL_YR1_CURR REVENUE1 PL_BEF_TAX1 PL_AFT_TAX1 TOT_ASSETS1 TA_CURRENT1 TA_NON_CURRENT1 TOT_LIABILITIES1 TL_CURRENT1 TL_NON_CURRENT1 TOT_EQUITY1 EQ_SH_CAPITAL1 EQ_RESERVES1 EQ_RETAINED_EARN1 GRP_REVENUE1 GRP_PL_BEF_TAX1 GRP_PL_AFT_TAX1 GRP_TOT_ASSETS1 GRP_TA_CURRENT1 GRP_TA_NON_CURRENT1 GRP_TOT_LIABILITIES1 GRP_TL_CURRENT1 GRP_TL_NON_CURRENT1 GRP_TOT_EQUITY1 GRP_SH_CAPITAL1 GRP_RESERVES1 GRP_RETAINED_EARN1 GRP_INDICATOR1" + description: |+ + XBRL filed after 1 Nov 2007 with following children: + XBRL_YR1_CURR + REVENUE1 + PL_BEF_TAX1 + PL_AFT_TAX1 + TOT_ASSETS1 + TA_CURRENT1 + TA_NON_CURRENT1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + TOT_EQUITY1 + EQ_SH_CAPITAL1 + EQ_RESERVES1 + EQ_RETAINED_EARN1 + GRP_REVENUE1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_NON_CURRENT1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_TOT_EQUITY1 + GRP_SH_CAPITAL1 + GRP_RESERVES1 + GRP_RETAINED_EARN1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. + example: "" properties: - XBRL_YR1_CURR : + XBRL_YR1_CURR: type: string - description: FH After Year 1 Currency - XBRL_YR2_CURR : - type: string - description: FH After Year 2 Currency + description: |+ + FH After Year 1 Currency + Subsequent Years: + XBRL_YR2_CURR + XBRL_YR3_CURR + XBRL_YR4_CURR + XBRL_YR5_CURR + example: REVENUE1 : type: string - description: Revenue Amount 1 - REVENUE2 : - type: string - description: Revenue Amount 2 - PL_BEF_TAX1: - type: string - description: Profit / Loss Before Tax from Continuing Operations 1 - PL_BEF_TAX2 : + description: |+ + Revenue Amount + Subsequent Years: + REVENUE2 + REVENUE3 + REVENUE4 + REVENUE5 + example: + PL_BEF_TAX1 : type: string - description: Profit / Loss Before Tax from Continuing Operations 2 + description: |+ + Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: PL_AFT_TAX1 : type: string - description: Profit / Loss After Tax from Continuing Operations 1 - PL_AFT_TAX2 : - type: string - description: Profit / Loss After Tax from Continuing Operations 2 - PL_BEF_TAX3 : - type: string - description: Profit / Loss After Tax from Continuing Operations 3 - TOT_ASSETS1: - type: string - description: Total Assets 1 - TOT_ASSETS2 : + description: |+ + Profit / Loss After Tax from Continuing Operations + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: + TOT_ASSETS1 : type: string - description: Total Assets 2 + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: TA_CURRENT1 : type: string - description: Total Current Assets (Only for Balance Sheet by Current / Non-Current) 1 - TA_CURRENT2: - type: string - description: Total Current Assets (Only for Balance Sheet by Current / Non-Current) 2 - TA_NON_CURRENT1: - type: string - description: Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) 1 - TA_NON_CURRENT2 : + description: |+ + Total Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: + TA_NON_CURRENT1 : type: string - description: Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) 2 + description: |+ + Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_NON_CURRENT2 + TA_NON_CURRENT3 + TA_NON_CURRENT4 + TA_NON_CURRENT5 + example: TOT_LIABILITIES1 : type: string - description: Total Liabilities 1 - TOT_LIABILITIES2 : - type: string - description: Total Liabilities 2 - TL_CURRENT1 : - type: string - description: Total Current Assets (Only for Balance Sheet by Current / Non-Current) 1 - TL_CURRENT2 : - type: string - description: Total Current Assets (Only for Balance Sheet by Current / Non-Current) 2 - TL_NON_CURRENT1 : - type: string - description: Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) 1 - TL_NON_CURRENT2: - type: string - description: Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) 1 - TOT_EQUITY1 : - type: string - description: Total equity 1 - TOT_EQUITY2 : - type: string - description: Total equity 2 - EQ_SH_CAPITAL1 : - type: string - description: Equity Shareholders Capital 1 - EQ_SH_CAPITAL2 : - type: string - description: Equity Shareholders Capital 2 - EQ_RESERVES1: - type: string - description: Equity Reserves 1 - EQ_RESERVES2 : - type: string - description: Equity Reserves 2 - EQ_RETAINED_EARN1 : - type: string - description: Equity Retained 1 - EQ_RETAINED_EARN2: - type: string - description: Equity Retained 2 - GRP_REVENUE1: - type: string - description: GRP REVENUE 1 - GRP_REVENUE2 : - type: string - description: GRP REVENUE 1 - GRP_PL_BEF_TAX1 : - type: string - description: Group Profit / Loss Before Tax 1 - GRP_PL_BEF_TAX2 : - type: string - description: Group Profit / Loss Before Tax 2 - GRP_PL_AFT_TAX1 : - type: string - description: Group Profit / Loss After Tax 1 - GRP_PL_AFT_TAX2 : - type: string - description: Group Profit / Loss After Tax 2 - GRP_TOT_ASSETS1 : - type: string - description: Group Total Assets 1 - GRP_TOT_ASSETS2: - type: string - description: Group Total Assets 2 - GRP_TA_CURRENT1 : - type: string - description: Group Total Assets – Current 1 - GRP_TA_CURRENT2 : - type: string - description: Group Total Assets – Current 2 - GRP_TA_NON_CURRENT1 : - type: string - description: Group Total Non Assets – Current 1 - GRP_TA_NON_CURRENT2 : - type: string - description: Group Total Non Assets – Current 2 - GRP_TOT_LIABILITIES1: - type: string - description: Group Total Liabilities 1 - GRP_TOT_LIABILITIES2 : - type: string - description: Group Total Liabilities 2 - GRP_TL_CURRENT1 : - type: string - description: Group Total Liabilities - Current 1 - GRP_TL_CURRENT2: - type: string - description: Group Total Liabilities - Current 2 - GRP_TL_NON_CURRENT1: - type: string - description: Group Total Non Liabilities - Current 1 - GRP_TL_NON_CURRENT2 : - type: string - description: Group Total Non Liabilities - Current 2 - GRP_TOT_EQUITY1 : - type: string - description: Group Total Equity 1 - GRP_TOT_EQUITY2 : - type: string - description: Group Total Equity 2 - GRP_SH_CAPITAL1 : - type: string - description: Group Shareholders capital 1 - GRP_SH_CAPITAL2 : - type: string - description: Group Shareholders capital 2 - GRP_RESERVES1 : - type: string - description: Group Reserves 1 - GRP_RESERVES2 : - type: string - description: Group Reserves 2 - GRP_RETAINED_EARN1 : - type: string - description: Group Rettained Earnings 1 - GRP_RETAINED_EARN2 : - type: string - description: Group Rettained Earnings 2 - GRP_INDICATOR1: - type: string - description: Group Indicator 1 - GRP_INDICATOR2 : - type: string - description: Group Indicator 2 - GRP_INDICATOR3 : - type: string - description: Group Indicator 3 + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: FH_RATIOS_DTL: type: object description: Financial Ratio History From 9b420b51bdea44a706a540f9f3319dbe6c3f0618 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 22:52:18 +1000 Subject: [PATCH 0214/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index a4c85771d..c1034a41a 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -399,10 +399,10 @@ components: description: |+ Shareholder’s Fund – Paid Up Capital Subsequent Years: - SH_PAIDUP_CAPITAL2 - SH_PAIDUP_CAPITAL3 - SH_PAIDUP_CAPITAL4 - SH_PAIDUP_CAPITAL5 + SH_PAIDUP_CAPITAL2 + SH_PAIDUP_CAPITAL3 + SH_PAIDUP_CAPITAL4 + SH_PAIDUP_CAPITAL5 example: SH_RESERVES1 : type: string From f9a2eab7f315e37af43d91e3efe0c1909146929d Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 23:12:00 +1000 Subject: [PATCH 0215/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 200 ++++++++++++++++++ 1 file changed, 200 insertions(+) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index c1034a41a..5472f0600 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -700,6 +700,206 @@ components: TOT_LIABILITIES4 TOT_LIABILITIES5 example: + TL_CURRENT1 : + type: string + description: |+ + Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: + TL_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: + TOT_EQUITY1 : + type: string + description: |+ + Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + TOT_EQUITY2 + TOT_EQUITY3 + TOT_EQUITY4 + TOT_EQUITY5 + example: + EQ_SH_CAPITAL1 : + type: string + description: |+ + Total Equity – Share Capital + Subsequent Years: + EQ_SH_CAPITAL2 + EQ_SH_CAPITAL3 + EQ_SH_CAPITAL4 + EQ_SH_CAPITAL5 + example: + EQ_RESERVES1 : + type: string + description: |+ + Total Equity – Other Reserves + Subsequent Years: + EQ_RESERVES2 + EQ_RESERVES3 + EQ_RESERVES4 + EQ_RESERVES5 + example: + EQ_RETAINED_EARN1 : + type: string + description: |+ + Total Equity – Retained Earnings (Accumulated Loss) + Subsequent Years: + EQ_RETAINED_EARN2 + EQ_RETAINED_EARN3 + EQ_RETAINED_EARN4 + EQ_RETAINED_EARN5 + example: + GRP_REVENUE1 : + type: string + description: |+ + Group’s Revenue Amount + Subsequent Years: + GRP_REVENUE2 + GRP_REVENUE3 + GRP_REVENUE4 + GRP_REVENUE5 + example: + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax from Continuing Operations + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: + GRP_TOT_ASSETS1 : + type: string + description: |+ + Group’s Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: + GRP_TA_CURRENT1 : + type: string + description: |+ + Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT4 + example: + GRP_TA_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_NON_CURRENT2 + GRP_TA_NON_CURRENT3 + GRP_TA_NON_CURRENT4 + GRP_TA_NON_CURRENT4 + example: + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group’s Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: + GRP_TL_CURRENT1 : + type: string + description: |+ + Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: + GRP_TOT_EQUITY1 : + type: string + description: |+ + Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + GRP_TOT_EQUITY2 + GRP_TOT_EQUITY3 + GRP_TOT_EQUITY4 + GRP_TOT_EQUITY5 + example: + GRP_SH_CAPITAL1 : + type: string + description: |+ + Group’s Share Capital + Subsequent Years: + GRP_SH_CAPITAL2 + GRP_SH_CAPITAL3 + GRP_SH_CAPITAL4 + GRP_SH_CAPITAL5 + example: + GRP_RESERVES1 : + type: string + description: |+ + Group’s Other Reserves + Subsequent Years: + GRP_RESERVES2 + GRP_RESERVES3 + GRP_RESERVES4 + GRP_RESERVES5 + example: + GRP_RETAINED_EARN1 : + type: string + description: |+ + Group’s – Retained Earnings (Accumulated Loss) + Subsequent Years: + GRP_RETAINED_EARN2 + GRP_RETAINED_EARN3 + GRP_RETAINED_EARN4 + GRP_RETAINED_EARN5 + example: + GRP_INDICATOR1 : + type: string + description: |+ + XBRL Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: FH_RATIOS_DTL: type: object description: Financial Ratio History From 3a63d4a9e7df0adedddf10cc5e453faf259ff605 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 23:17:05 +1000 Subject: [PATCH 0216/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 48 +++++++++---------- 1 file changed, 24 insertions(+), 24 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 5472f0600..c1a326b39 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -173,55 +173,55 @@ components: description: Request Date String example: "21/04/2009 10:56:06" FH_BEFORE_YR1 : - type: integer + type: string description: Financial Highlight filed before year 1 example: "2004" FH_BEFORE_YR2 : - type: integer + type: string description: Financial Highlight filed before year 2 example: "2003" FH_BEFORE_YR3 : - type: integer + type: string description: Financial Highlight filed before year 3 example: "2002" FH_AFTER_YR1: - type: integer + type: string description: Financial Highlight filed after year 1 example: "2005" FH_AFTER_YR2 : - type: integer + type: string description: Financial Highlight filed after year 2 example: "2006" FH_AFTER_YR3 : - type: integer + type: string description: Financial Highlight filed after year 3 example: "2007" FH_AFTER_YR4: - type: integer + type: string description: Financial Highlight filed after year 4 example: "2008" FH_AFTER_YR5: - type: integer + type: string description: Financial Highlight filed after year 5 example: "2009" AC_RATIOS_YR1 : - type: integer + type: string description: Account Ratio year 1 example: "2008" AC_RATIOS_YR2 : - type: integer + type: string description: Account Ratio year 2 example: "2007" AC_RATIOS_YR3 : - type: integer + type: string description: Account Ratio year 3 example: "2006" AC_RATIOS_YR4 : - type: integer + type: string description: Account Ratio year 4 example: "2005" AC_RATIOS_YR5 : - type: integer + type: string description: Account Ratio year 5 example: "2004" FH_DTL: @@ -275,7 +275,7 @@ components: FH_YR5_CURR example: TURNOVER1 : - type: float + type: string description: |+ Turnover / Sales And Other Operating Revenues Subsequent Years: @@ -285,7 +285,7 @@ components: TURNOVER5 example: PL_BEF_TAX1 : - type: float + type: string description: |+ Profit / Loss Before Tax Subsequent Years: @@ -295,7 +295,7 @@ components: PL_BEF_TAX5 example: PL_AFT_TAX1: - type: float + type: string description: |+ Profit / Loss After Tax Subsequent Years: @@ -305,7 +305,7 @@ components: PL_AFT_TAX5 example: NETINC_NON_EXT1: - type: float + type: string description: |+ Net Income / Loss From Extraordinary And Non- Operating Items Subsequent Years: @@ -315,7 +315,7 @@ components: NETINC_NON_EXT5 example: PL_AFT_TAX_EXT1 : - type: float + type: string description: |+ Profit / Loss After Tax and Extraordinary Items Subsequent Years: @@ -325,7 +325,7 @@ components: PL_AFT_TAX_EXT5 example: TOT_ASSETS1 : - type: float + type: string description: |+ Total Assets Subsequent Years: @@ -335,7 +335,7 @@ components: TOT_ASSETS5 example: TA_CURRENT1 : - type: float + type: string description: |+ Total Assets - Current Subsequent Years: @@ -345,7 +345,7 @@ components: TA_CURRENT5 example: TA_FIXED1 : - type: float + type: string description: |+ Total Assets – Fixed and Others Subsequent Years: @@ -355,7 +355,7 @@ components: TA_FIXED5 example: TOT_LIABILITIES1 : - type: float + type: string description: |+ Total Liabilities Subsequent Years: @@ -365,7 +365,7 @@ components: TOT_LIABILITIES5 example: TL_CURRENT1 : - type: float + type: string description: |+ Total Liabilities - Current Subsequent Years: @@ -375,7 +375,7 @@ components: TL_CURRENT5 example: TL_NON_CURRENT1 : - type: float + type: string description: |+ Total Liabilities – Non- Current & Long Term Subsequent Years: From 787f6e401ce602a286b981613572f071a8358e1c Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 23:25:09 +1000 Subject: [PATCH 0217/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 170 ++++++++---------- 1 file changed, 77 insertions(+), 93 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index c1a326b39..3e5113f3e 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -902,121 +902,105 @@ components: example: FH_RATIOS_DTL: type: object - description: Financial Ratio History + description: |+ + Accounting Ratios Details with following children: + RATE_NET_PROFIT1 + RET_INVESTMENT1 + RET_SH_FUNDS1 + TOT_ASSETS_TURNOVER1 + CURR_CAPITAL_RATIO1 + PROPRIETARY_RATIO1 + TOTAL_DEBT_RATIO1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. + example: properties: RATE_NET_PROFIT1 : type: string - description: Rate of Net Profit On Sales (%) 1 - RATE_NET_PROFIT2 : - type: string - description: Rate of Net Profit On Sales (%) 2 - RATE_NET_PROFIT3 : - type: string - description: Rate of Net Profit On Sales (%) 3 - RATE_NET_PROFIT4 : - type: string - description: Rate of Net Profit On Sales (%) 4 - RATE_NET_PROFIT5: - type: string - description: Rate of Net Profit On Sales (%) 5 + description: |+ + Rate of Net Profit On Sales (%) + Subsequent Years: + RATE_NET_PROFIT2 + RATE_NET_PROFIT3 + RATE_NET_PROFIT4 + RATE_NET_PROFIT5 + example: RET_INVESTMENT1 : type: string - description: Return of Investment (%) 1 - RET_INVESTMENT2 : - type: string - description: Return of Investment (%) 2 - RET_INVESTMENT3 : - type: string - description: Return of Investment (%) 3 - RET_INVESTMENT4 : - type: string - description: Return of Investment (%) 4 - RET_INVESTMENT5: - type: string - description: Return of Investment (%) 5 + description: |+ + Return of Investment (%) + Subsequent Years: + RET_INVESTMENT2 + RET_INVESTMENT3 + RET_INVESTMENT4 + RET_INVESTMENT5 + example: RET_SH_FUNDS1 : type: string - description: Return of Shareholder’s Funds (%) 1 - RET_SH_FUNDS2 : - type: string - description: Return of Shareholder’s Funds (%) 2 - RET_SH_FUNDS3: - type: string - description: Return of Shareholder’s Funds (%) 3 - RET_SH_FUNDS4: - type: string - description: Return of Shareholder’s Funds (%) 4 - RET_SH_FUNDS5 : - type: string - description: Return of Shareholder’s Funds (%) 5 + description: |+ + Return of Shareholder’s Funds (%) + Subsequent Years: + RET_SH_FUNDS2 + RET_SH_FUNDS3 + RET_SH_FUNDS4 + RET_SH_FUNDS4 + example: TOT_ASSETS_TURNOVER1 : type: string - description: Total Assets Turnover (%) 1 - TOT_ASSETS_TURNOVER2 : - type: string - description: Total Assets Turnover (%) 2 - TOT_ASSETS_TURNOVER3 : - type: string - description: Total Assets Turnover (%) 3 - TOT_ASSETS_TURNOVER4 : - type: string - description: Total Assets Turnover (%) 4 - TOT_ASSETS_TURNOVER5 : - type: string - description: Total Assets Turnover (%) 5 + description: |+ + Total Assets Turnover (%) + Subsequent Years: + TOT_ASSETS_TURNOVER2 + TOT_ASSETS_TURNOVER3 + TOT_ASSETS_TURNOVER4 + TOT_ASSETS_TURNOVER5 + example: CURR_CAPITAL_RATIO1: type: string - description: Current / Working Capital Ratio (%) 1 - CURR_CAPITAL_RATIO2 : - type: string - description: Current / Working Capital Ratio (%) 2 - CURR_CAPITAL_RATIO3 : - type: string - description: Current / Working Capital Ratio (%) 3 - CURR_CAPITAL_RATIO4 : - type: string - description: Current / Working Capital Ratio (%) 4 - CURR_CAPITAL_RATIO5 : - type: string - description: Current / Working Capital Ratio (%) 5 + description: |+ + Current / Working Capital Ratio (%) + Subsequent Years: + CURR_CAPITAL_RATIO2 + CURR_CAPITAL_RATIO3 + CURR_CAPITAL_RATIO4 + CURR_CAPITAL_RATIO5 + example: PROPRIETARY_RATIO1: type: string - description: Proprietary Ratio (%) 1 - PROPRIETARY_RATIO2 : - type: string - description: Proprietary Ratio (%) 2 - PROPRIETARY_RATIO3 : - type: string - description: Proprietary Ratio (%) 3 - PROPRIETARY_RATIO4: - type: string - description: Proprietary Ratio (%) 4 - PROPRIETARY_RATIO5: - type: string - description: Proprietary Ratio (%) 5 + description: |+ + Proprietary Ratio (%) 1 + Subsequent Years: + PROPRIETARY_RATIO2 + PROPRIETARY_RATIO3 + PROPRIETARY_RATIO4 + PROPRIETARY_RATIO5 + example: TOTAL_DEBT_RATIO1 : type: string - description: Total Debt to Equity Ratio (%) 1 - TOTAL_DEBT_RATIO2 : - type: string - description: Total Debt to Equity Ratio (%) 2 - TOTAL_DEBT_RATIO3 : - type: string - description: Total Debt to Equity Ratio (%) 3 - TOTAL_DEBT_RATIO4 : - type: string - description: Total Debt to Equity Ratio (%) 4 - TOTAL_DEBT_RATIO5 : - type: string - description: Total Debt to Equity Ratio (%) 5 + description: |+ + Total Debt to Equity Ratio (%) 1 + Subsequent Years: + TOTAL_DEBT_RATIO2 + TOTAL_DEBT_RATIO3 + TOTAL_DEBT_RATIO4 + TOTAL_DEBT_RATIO5 + example: LIST_FH_CHART_INFO : type: array example: "[FH_CHART_INFO]" - description: List of financial chart information + description: |+ + List of chart info with following children: + [FH_CHART_INFO] + example: items: properties: FH_CHART_INFO: type: object + description: |+ + Chart Info info with following children: + YEAR + REVENUE + PROFIT_LOSS properties: PROFIT_LOSS: type: string From daf90f92981a6fcd55d136cf0ca00f45ad65b4ce Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 19:02:50 +0530 Subject: [PATCH 0218/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 3e5113f3e..da6af304a 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -991,7 +991,6 @@ components: description: |+ List of chart info with following children: [FH_CHART_INFO] - example: items: properties: FH_CHART_INFO: From da816b294f7a893f406739d9d3c83111dd56b481 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Sep 2020 23:37:03 +1000 Subject: [PATCH 0219/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 36 ++++++++++++++++--- 1 file changed, 31 insertions(+), 5 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index da6af304a..d591434ad 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -27,7 +27,33 @@ paths: schema: $ref: '#/components/schemas/success' example: |+ - string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string + + 25/02/2009 17:31:44> + + + 2009-04-21 10:56:06.716 + 2004 2003 2002 2005 + 2006 2007 2008 2009 2008 2007 2006 2005 2004 + + 9403795.00 8617168.00 7807393.00 31467.00 162620.00 1281387.00 31467.00 162620.00 1281387.00 0.00 0.00 60318.00> 31467.00 162620.00 1341705.00 3889213.00 3395740.00 4374368.00 3359007.00 2855754.00 3546381.00 530206.00 539986.00 827987.00> 7370430.00 6845490.00 7661498.00 6739073.00 6157560.00 6435365.00 631357.00 687930.00 122133.00 -3481217.00 -3449750.00 -3287130.00 2000000.00 2000000.00 2000000.00 0.00 0.00 0.00 5481217.00 5449750.00 5287130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + + 10877254.00 9982533.00 1121483.00 262632.00 1347380.00 262632.00 6562990.00 5424551.00 6283449.00 4948821.00 279541.00 475730.00 8434195.00 8643136.00 8434195.00 7933013.00 0.00 710123.00 -1871205.00 -3218585.00 2000000.00 2000000.00 0.00 0.00 -3,871,205.00 -5,218,585.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 + + 12.39 2.63 0.00 0.00 0.00 20.53 4.84 0.00 0.00 0.00 -72.01 -8.16 -0.00 -0.00 -0.00 1.66 1.84 2.42 2.54 1.78 0.74 0.62 0.50 0.46 0.55 -28.51 -59.33 -89.51 -101.59 -75.15 128.51 168.27 189.51 201.59 175.15 + + 1121483.0 10877254 2008 + + 262632.0> 9982533 2007 + + -31467.0 9403795 2006 + + -162620.0 8617168 2005 + + -1281387.0 7807393 2004 + + '401': description: Unauthorized content: @@ -1095,15 +1121,15 @@ components: default: false ENQUIRY: type: object - example: + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD description: Contains information of each request details default: true properties: SUBJECT_IDNO: type: string - example: "199707714C" - description: |+ - Subjects ID Number (individual) or Registration + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" default: true SUBJECT_NAME: type: string From 898e6219d99918fca0ab494d955a85689c83b743 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 19:17:33 +0530 Subject: [PATCH 0220/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 791 +----------------- 1 file changed, 1 insertion(+), 790 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index d591434ad..286c2079a 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -197,7 +197,7 @@ components: REQ_DATE_STR : type: string description: Request Date String - example: "21/04/2009 10:56:06" + example: date FH_BEFORE_YR1 : type: string description: Financial Highlight filed before year 1 @@ -250,795 +250,6 @@ components: type: string description: Account Ratio year 5 example: "2004" - FH_DTL: - type: object - description: |+ - Financial Highlight with following children: - FH_YR1_CURR - TURNOVER1 - PL_BEF_TAX1 - PL_AFT_TAX1 - NETINC_NON_EXT1 - PL_AFT_TAX_EXT1 - TOT_ASSETS1 - TA_CURRENT1 - TA_FIXED1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - SH_FUNDS1 - SH_PAIDUP_CAPITAL1 - SH_RESERVES1 - SH_ACCUM_LOSS1 - GRP_TURNOVER1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_NETINC_NON_EXT1 - GRP_PL_AFT_TAX_EXT1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_FIXED1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_SH_FUNDS1 - GRP_SH_PAIDUP_CAPITAL1 - GRP_SH_RESERVES1 - GRP_SH_ACCUM_LOSS1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. - example: - properties: - FH_YR1_CURR : - type: string - description: |+ - FH Before Year 1 Currency - Subsequent Years: - FH_YR2_CURR - FH_YR3_CURR - FH_YR4_CURR - FH_YR5_CURR - example: - TURNOVER1 : - type: string - description: |+ - Turnover / Sales And Other Operating Revenues - Subsequent Years: - TURNOVER2 - TURNOVER3 - TURNOVER4 - TURNOVER5 - example: - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: - PL_AFT_TAX1: - type: string - description: |+ - Profit / Loss After Tax - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: - NETINC_NON_EXT1: - type: string - description: |+ - Net Income / Loss From Extraordinary And Non- Operating Items - Subsequent Years: - NETINC_NON_EXT2 - NETINC_NON_EXT3 - NETINC_NON_EXT4 - NETINC_NON_EXT5 - example: - PL_AFT_TAX_EXT1 : - type: string - description: |+ - Profit / Loss After Tax and Extraordinary Items - Subsequent Years: - PL_AFT_TAX_EXT2 - PL_AFT_TAX_EXT3 - PL_AFT_TAX_EXT4 - PL_AFT_TAX_EXT5 - example: - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: - TA_CURRENT1 : - type: string - description: |+ - Total Assets - Current - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: - TA_FIXED1 : - type: string - description: |+ - Total Assets – Fixed and Others - Subsequent Years: - TA_FIXED2 - TA_FIXED3 - TA_FIXED4 - TA_FIXED5 - example: - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: - TL_CURRENT1 : - type: string - description: |+ - Total Liabilities - Current - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: - TL_NON_CURRENT1 : - type: string - description: |+ - Total Liabilities – Non- Current & Long Term - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: - SH_FUNDS1: - type: string - description: |+ - Shareholder’s Fund - Subsequent Years: - SH_FUNDS2 - SH_FUNDS3 - SH_FUNDS4 - SH_FUNDS5 - example: - SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Shareholder’s Fund – Paid Up Capital - Subsequent Years: - SH_PAIDUP_CAPITAL2 - SH_PAIDUP_CAPITAL3 - SH_PAIDUP_CAPITAL4 - SH_PAIDUP_CAPITAL5 - example: - SH_RESERVES1 : - type: string - description: |+ - Shareholder’s Fund - Reserves - Subsequent Years: - SH_RESERVES2 - SH_RESERVES3 - SH_RESERVES4 - SH_RESERVES5 - example: - SH_ACCUM_LOSS1: - type: string - description: |+ - Shareholder’s Fund – Accumulated Loss - Subsequent Years: - SH_ACCUM_LOSS2 - SH_ACCUM_LOSS3 - SH_ACCUM_LOSS4 - SH_ACCUM_LOSS5 - example: - GRP_TURNOVER1 : - type: string - description: |+ - Group Turnover / Sales and Other Operating Revenues - Subsequent Years: - GRP_TURNOVER2 - GRP_TURNOVER3 - GRP_TURNOVER4 - GRP_TURNOVER5 - example: - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: - GRP_NETINC_NON_EXT1 : - type: string - description: |+ - Group Net Income / Loss From Extraordinary and Non-Operating Items - Subsequent Years: - GRP_NETINC_NON_EXT2 - GRP_NETINC_NON_EXT3 - GRP_NETINC_NON_EXT4 - GRP_NETINC_NON_EXT5 - example: - GRP_PL_AFT_TAX_EXT1: - type: string - description: |+ - Group Profit / Loss After Tax and Extraordinary items - Subsequent Years: - GRP_ PL_AFT_TAX_EXT2 - GRP_ PL_AFT_TAX_EXT3 - GRP_ PL_AFT_TAX_EXT4 - GRP_ PL_AFT_TAX_EXT5 - example: - GRP_TOT_ASSETS1: - type: string - description: |+ - Group Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: - GRP_TA_CURRENT1 : - type: string - description: |+ - Group Total Assets – Current - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT5 - example: - GRP_TA_FIXED1 : - type: string - description: |+ - Group Total Assets – Fixed and Others - Subsequent Years: - GRP_TA_FIXED2 - GRP_TA_FIXED3 - GRP_TA_FIXED4 - GRP_TA_FIXED5 - example: - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: - GRP_TL_CURRENT1 : - type: string - description: |+ - Group Total Liabilities - Current - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group Total Liabilities – Non-Current & Long Term - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: - GRP_SH_FUNDS1 : - type: string - description: |+ - Group Shareholder’s Fund - Subsequent Years: - GRP_ SH_FUNDS2 - GRP_ SH_FUNDS3 - GRP_ SH_FUNDS4 - GRP_ SH_FUNDS5 - example: - GRP_SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Group Shareholder’s Fund – Paid Up Capital - Subsequent Years: - GRP_SH_PAIDUP_CAPITAL2 - GRP_SH_PAIDUP_CAPITAL3 - GRP_SH_PAIDUP_CAPITAL4 - GRP_SH_PAIDUP_CAPITAL5 - example: - GRP_SH_RESERVES1: - type: string - description: |+ - Group Shareholder’s Fund - Reserves - Subsequent Years: - GRP_SH_RESERVES2 - GRP_SH_RESERVES3 - GRP_SH_RESERVES4 - GRP_SH_RESERVES5 - example: - GRP_SH_ACCUM_LOSS1 : - type: string - description: |+ - Group Shareholder’s Fund – Accumulated Loss - Subsequent Years: - GRP_SH_ACCUM_LOSS2 - GRP_SH_ACCUM_LOSS3 - GRP_SH_ACCUM_LOSS4 - GRP_SH_ACCUM_LOSS5 - example: - GRP_INDICATOR1 : - type: string - description: |+ - Company Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: - XBRL_DTL: - type: object - description: |+ - XBRL filed after 1 Nov 2007 with following children: - XBRL_YR1_CURR - REVENUE1 - PL_BEF_TAX1 - PL_AFT_TAX1 - TOT_ASSETS1 - TA_CURRENT1 - TA_NON_CURRENT1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - TOT_EQUITY1 - EQ_SH_CAPITAL1 - EQ_RESERVES1 - EQ_RETAINED_EARN1 - GRP_REVENUE1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_NON_CURRENT1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_TOT_EQUITY1 - GRP_SH_CAPITAL1 - GRP_RESERVES1 - GRP_RETAINED_EARN1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. - example: "" - properties: - XBRL_YR1_CURR: - type: string - description: |+ - FH After Year 1 Currency - Subsequent Years: - XBRL_YR2_CURR - XBRL_YR3_CURR - XBRL_YR4_CURR - XBRL_YR5_CURR - example: - REVENUE1 : - type: string - description: |+ - Revenue Amount - Subsequent Years: - REVENUE2 - REVENUE3 - REVENUE4 - REVENUE5 - example: - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: - PL_AFT_TAX1 : - type: string - description: |+ - Profit / Loss After Tax from Continuing Operations - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: - TA_CURRENT1 : - type: string - description: |+ - Total Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: - TA_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_NON_CURRENT2 - TA_NON_CURRENT3 - TA_NON_CURRENT4 - TA_NON_CURRENT5 - example: - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: - TL_CURRENT1 : - type: string - description: |+ - Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: - TL_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: - TOT_EQUITY1 : - type: string - description: |+ - Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - TOT_EQUITY2 - TOT_EQUITY3 - TOT_EQUITY4 - TOT_EQUITY5 - example: - EQ_SH_CAPITAL1 : - type: string - description: |+ - Total Equity – Share Capital - Subsequent Years: - EQ_SH_CAPITAL2 - EQ_SH_CAPITAL3 - EQ_SH_CAPITAL4 - EQ_SH_CAPITAL5 - example: - EQ_RESERVES1 : - type: string - description: |+ - Total Equity – Other Reserves - Subsequent Years: - EQ_RESERVES2 - EQ_RESERVES3 - EQ_RESERVES4 - EQ_RESERVES5 - example: - EQ_RETAINED_EARN1 : - type: string - description: |+ - Total Equity – Retained Earnings (Accumulated Loss) - Subsequent Years: - EQ_RETAINED_EARN2 - EQ_RETAINED_EARN3 - EQ_RETAINED_EARN4 - EQ_RETAINED_EARN5 - example: - GRP_REVENUE1 : - type: string - description: |+ - Group’s Revenue Amount - Subsequent Years: - GRP_REVENUE2 - GRP_REVENUE3 - GRP_REVENUE4 - GRP_REVENUE5 - example: - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax from Continuing Operations - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: - GRP_TOT_ASSETS1 : - type: string - description: |+ - Group’s Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: - GRP_TA_CURRENT1 : - type: string - description: |+ - Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT4 - example: - GRP_TA_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_NON_CURRENT2 - GRP_TA_NON_CURRENT3 - GRP_TA_NON_CURRENT4 - GRP_TA_NON_CURRENT4 - example: - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group’s Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: - GRP_TL_CURRENT1 : - type: string - description: |+ - Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: - GRP_TOT_EQUITY1 : - type: string - description: |+ - Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - GRP_TOT_EQUITY2 - GRP_TOT_EQUITY3 - GRP_TOT_EQUITY4 - GRP_TOT_EQUITY5 - example: - GRP_SH_CAPITAL1 : - type: string - description: |+ - Group’s Share Capital - Subsequent Years: - GRP_SH_CAPITAL2 - GRP_SH_CAPITAL3 - GRP_SH_CAPITAL4 - GRP_SH_CAPITAL5 - example: - GRP_RESERVES1 : - type: string - description: |+ - Group’s Other Reserves - Subsequent Years: - GRP_RESERVES2 - GRP_RESERVES3 - GRP_RESERVES4 - GRP_RESERVES5 - example: - GRP_RETAINED_EARN1 : - type: string - description: |+ - Group’s – Retained Earnings (Accumulated Loss) - Subsequent Years: - GRP_RETAINED_EARN2 - GRP_RETAINED_EARN3 - GRP_RETAINED_EARN4 - GRP_RETAINED_EARN5 - example: - GRP_INDICATOR1 : - type: string - description: |+ - XBRL Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: - FH_RATIOS_DTL: - type: object - description: |+ - Accounting Ratios Details with following children: - RATE_NET_PROFIT1 - RET_INVESTMENT1 - RET_SH_FUNDS1 - TOT_ASSETS_TURNOVER1 - CURR_CAPITAL_RATIO1 - PROPRIETARY_RATIO1 - TOTAL_DEBT_RATIO1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. - example: - properties: - RATE_NET_PROFIT1 : - type: string - description: |+ - Rate of Net Profit On Sales (%) - Subsequent Years: - RATE_NET_PROFIT2 - RATE_NET_PROFIT3 - RATE_NET_PROFIT4 - RATE_NET_PROFIT5 - example: - RET_INVESTMENT1 : - type: string - description: |+ - Return of Investment (%) - Subsequent Years: - RET_INVESTMENT2 - RET_INVESTMENT3 - RET_INVESTMENT4 - RET_INVESTMENT5 - example: - RET_SH_FUNDS1 : - type: string - description: |+ - Return of Shareholder’s Funds (%) - Subsequent Years: - RET_SH_FUNDS2 - RET_SH_FUNDS3 - RET_SH_FUNDS4 - RET_SH_FUNDS4 - example: - TOT_ASSETS_TURNOVER1 : - type: string - description: |+ - Total Assets Turnover (%) - Subsequent Years: - TOT_ASSETS_TURNOVER2 - TOT_ASSETS_TURNOVER3 - TOT_ASSETS_TURNOVER4 - TOT_ASSETS_TURNOVER5 - example: - CURR_CAPITAL_RATIO1: - type: string - description: |+ - Current / Working Capital Ratio (%) - Subsequent Years: - CURR_CAPITAL_RATIO2 - CURR_CAPITAL_RATIO3 - CURR_CAPITAL_RATIO4 - CURR_CAPITAL_RATIO5 - example: - PROPRIETARY_RATIO1: - type: string - description: |+ - Proprietary Ratio (%) 1 - Subsequent Years: - PROPRIETARY_RATIO2 - PROPRIETARY_RATIO3 - PROPRIETARY_RATIO4 - PROPRIETARY_RATIO5 - example: - TOTAL_DEBT_RATIO1 : - type: string - description: |+ - Total Debt to Equity Ratio (%) 1 - Subsequent Years: - TOTAL_DEBT_RATIO2 - TOTAL_DEBT_RATIO3 - TOTAL_DEBT_RATIO4 - TOTAL_DEBT_RATIO5 - example: - LIST_FH_CHART_INFO : - type: array - example: "[FH_CHART_INFO]" - description: |+ - List of chart info with following children: - [FH_CHART_INFO] - items: - properties: - FH_CHART_INFO: - type: object - description: |+ - Chart Info info with following children: - YEAR - REVENUE - PROFIT_LOSS - properties: - PROFIT_LOSS: - type: string - example: "1121483.0" - description: Profit / Loss Before Tax of the year - REVENUE: - type: string - example: "10877254" - description: Revenue Amount of the year - YEAR: - type: string - example: "2008" - description: Financial Year unauthorized: type: object properties: From b6272dc4fb088c5fc55fb7f3ef1c3e82ad26d0ab Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 19:19:23 +0530 Subject: [PATCH 0221/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 722 +++++++++--------- 1 file changed, 361 insertions(+), 361 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 286c2079a..93aa755e4 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -1,366 +1,366 @@ -openapi: 3.0.1 -info: - title: Brief Financial Extraction Dun & Bradstreet (SG) - description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. - version: '0.1' -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Jul 23, 2019" -paths: - /dnb/prod/sbfe: - post: - tags: - - v0.1 - summary: Adds a new user - requestBody: - content: - application/xml: - schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: success response + openapi: 3.0.1 + info: + title: Brief Financial Extraction Dun & Bradstreet (SG) + description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. + version: '0.1' + servers: + - url: 'https://api.sentient.io' + tags: + - name: "v0.1" + description: "Published Date - Jul 23, 2019" + paths: + /dnb/prod/sbfe: + post: + tags: + - v0.1 + summary: Adds a new user + requestBody: content: application/xml: schema: - $ref: '#/components/schemas/success' - example: |+ - - 25/02/2009 17:31:44> - - - 2009-04-21 10:56:06.716 - 2004 2003 2002 2005 - 2006 2007 2008 2009 2008 2007 2006 2005 2004 - - 9403795.00 8617168.00 7807393.00 31467.00 162620.00 1281387.00 31467.00 162620.00 1281387.00 0.00 0.00 60318.00> 31467.00 162620.00 1341705.00 3889213.00 3395740.00 4374368.00 3359007.00 2855754.00 3546381.00 530206.00 539986.00 827987.00> 7370430.00 6845490.00 7661498.00 6739073.00 6157560.00 6435365.00 631357.00 687930.00 122133.00 -3481217.00 -3449750.00 -3287130.00 2000000.00 2000000.00 2000000.00 0.00 0.00 0.00 5481217.00 5449750.00 5287130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - - 10877254.00 9982533.00 1121483.00 262632.00 1347380.00 262632.00 6562990.00 5424551.00 6283449.00 4948821.00 279541.00 475730.00 8434195.00 8643136.00 8434195.00 7933013.00 0.00 710123.00 -1871205.00 -3218585.00 2000000.00 2000000.00 0.00 0.00 -3,871,205.00 -5,218,585.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - 0.00 0.00 0.00 0.00 - - 12.39 2.63 0.00 0.00 0.00 20.53 4.84 0.00 0.00 0.00 -72.01 -8.16 -0.00 -0.00 -0.00 1.66 1.84 2.42 2.54 1.78 0.74 0.62 0.50 0.46 0.55 -28.51 -59.33 -89.51 -101.59 -75.15 128.51 168.27 189.51 201.59 175.15 - - 1121483.0 10877254 2008 - - 262632.0> 9982533 2007 - - -31467.0 9403795 2006 - - -162620.0 8617168 2005 - - -1281387.0 7807393 2004 - - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - description: |+ - Report details with following children: - [META_INFO] - [FH_SEARCH_INFO] - [FH_DTL] - [XBRL_DTL] - [FH_RATIO_DTL] - [LIST_FH_CHART_INFO] - example: - properties: - META_INFO: - type: object - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - example: - properties: - SERVICE: - type: string - description: Report Requested - example: "BFE" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: string - description: Report Request Date - example: "25/02/2009 17:31:44" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - FH_SEARCH_INFO: - type: object - description: |+ - FH search information with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - FH_BEFORE_YR1 - FH_BEFORE_YR2 - FH_BEFORE_YR3 - FH_BEFORE_YR4 - FH_BEFORE_YR5 - FH_AFTER_YR1 - FH_AFTER_YR2 - FH_AFTER_YR3 - FH_AFTER_YR4 - FH_AFTER_YR5 - AC_RATIOS_YR1 - AC_RATIOS_YR2 - AC_RATIOS_YR3 - AC_RATIOS_YR4 - AC_RATIOS_YR5 - example: - properties: - COMP_NAME : - type: string - description: Company Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REG_NO : - type: string - description: Company Registration No - example: "200003058W" - REQ_DATE : - type: datetime - description: Requested Date - example: "2009-04-21 10:56:06.716" - REQ_REG_NO : - type: string - description: Request Registration Number - example: "200003058W" - REQ_NAME : - type: string - description: Request Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REQ_DATE_STR : - type: string - description: Request Date String - example: date - FH_BEFORE_YR1 : - type: string - description: Financial Highlight filed before year 1 - example: "2004" - FH_BEFORE_YR2 : - type: string - description: Financial Highlight filed before year 2 - example: "2003" - FH_BEFORE_YR3 : - type: string - description: Financial Highlight filed before year 3 - example: "2002" - FH_AFTER_YR1: - type: string - description: Financial Highlight filed after year 1 - example: "2005" - FH_AFTER_YR2 : - type: string - description: Financial Highlight filed after year 2 - example: "2006" - FH_AFTER_YR3 : - type: string - description: Financial Highlight filed after year 3 - example: "2007" - FH_AFTER_YR4: - type: string - description: Financial Highlight filed after year 4 - example: "2008" - FH_AFTER_YR5: - type: string - description: Financial Highlight filed after year 5 - example: "2009" - AC_RATIOS_YR1 : - type: string - description: Account Ratio year 1 - example: "2008" - AC_RATIOS_YR2 : - type: string - description: Account Ratio year 2 - example: "2007" - AC_RATIOS_YR3 : - type: string - description: Account Ratio year 3 - example: "2006" - AC_RATIOS_YR4 : - type: string - description: Account Ratio year 4 - example: "2005" - AC_RATIOS_YR5 : - type: string - description: Account Ratio year 5 - example: "2004" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - REQUEST: - type: object - properties: - TOT_ITEMS: - type: number - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: success response + content: + application/xml: + schema: + $ref: '#/components/schemas/success' + example: |+ + + 25/02/2009 17:31:44> + + + 2009-04-21 10:56:06.716 + 2004 2003 2002 2005 + 2006 2007 2008 2009 2008 2007 2006 2005 2004 + + 9403795.00 8617168.00 7807393.00 31467.00 162620.00 1281387.00 31467.00 162620.00 1281387.00 0.00 0.00 60318.00> 31467.00 162620.00 1341705.00 3889213.00 3395740.00 4374368.00 3359007.00 2855754.00 3546381.00 530206.00 539986.00 827987.00> 7370430.00 6845490.00 7661498.00 6739073.00 6157560.00 6435365.00 631357.00 687930.00 122133.00 -3481217.00 -3449750.00 -3287130.00 2000000.00 2000000.00 2000000.00 0.00 0.00 0.00 5481217.00 5449750.00 5287130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + + 10877254.00 9982533.00 1121483.00 262632.00 1347380.00 262632.00 6562990.00 5424551.00 6283449.00 4948821.00 279541.00 475730.00 8434195.00 8643136.00 8434195.00 7933013.00 0.00 710123.00 -1871205.00 -3218585.00 2000000.00 2000000.00 0.00 0.00 -3,871,205.00 -5,218,585.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 + + 12.39 2.63 0.00 0.00 0.00 20.53 4.84 0.00 0.00 0.00 -72.01 -8.16 -0.00 -0.00 -0.00 1.66 1.84 2.42 2.54 1.78 0.74 0.62 0.50 0.46 0.55 -28.51 -59.33 -89.51 -101.59 -75.15 128.51 168.27 189.51 201.59 175.15 + + 1121483.0 10877254 2008 + + 262632.0> 9982533 2007 + + -31467.0 9403795 2006 + + -162620.0 8617168 2005 + + -1281387.0 7807393 2004 + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + components: + schemas: + success: type: object - example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD - description: Contains information of each request details - default: true properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 23, 2019 - description: Initial version release - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + REPORT: + type: object + description: |+ + Report details with following children: + [META_INFO] + [FH_SEARCH_INFO] + [FH_DTL] + [XBRL_DTL] + [FH_RATIO_DTL] + [LIST_FH_CHART_INFO] + example: + properties: + META_INFO: + type: object + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + example: + properties: + SERVICE: + type: string + description: Report Requested + example: "BFE" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: string + description: Report Request Date + example: "25/02/2009 17:31:44" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + FH_SEARCH_INFO: + type: object + description: |+ + FH search information with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + FH_BEFORE_YR1 + FH_BEFORE_YR2 + FH_BEFORE_YR3 + FH_BEFORE_YR4 + FH_BEFORE_YR5 + FH_AFTER_YR1 + FH_AFTER_YR2 + FH_AFTER_YR3 + FH_AFTER_YR4 + FH_AFTER_YR5 + AC_RATIOS_YR1 + AC_RATIOS_YR2 + AC_RATIOS_YR3 + AC_RATIOS_YR4 + AC_RATIOS_YR5 + example: + properties: + COMP_NAME : + type: string + description: Company Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REG_NO : + type: string + description: Company Registration No + example: "200003058W" + REQ_DATE : + type: string + description: Requested Date + example: "2009-04-21 10:56:06.716" + REQ_REG_NO : + type: string + description: Request Registration Number + example: "200003058W" + REQ_NAME : + type: string + description: Request Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REQ_DATE_STR : + type: string + description: Request Date String + example: "21/04/2009 10:56:06" + FH_BEFORE_YR1 : + type: string + description: Financial Highlight filed before year 1 + example: 2004 + FH_BEFORE_YR2 : + type: string + description: Financial Highlight filed before year 2 + example: "2003" + FH_BEFORE_YR3 : + type: string + description: Financial Highlight filed before year 3 + example: "2002" + FH_AFTER_YR1: + type: string + description: Financial Highlight filed after year 1 + example: "2005" + FH_AFTER_YR2 : + type: string + description: Financial Highlight filed after year 2 + example: "2006" + FH_AFTER_YR3 : + type: string + description: Financial Highlight filed after year 3 + example: "2007" + FH_AFTER_YR4: + type: string + description: Financial Highlight filed after year 4 + example: "2008" + FH_AFTER_YR5: + type: string + description: Financial Highlight filed after year 5 + example: "2009" + AC_RATIOS_YR1 : + type: string + description: Account Ratio year 1 + example: "2008" + AC_RATIOS_YR2 : + type: string + description: Account Ratio year 2 + example: "2007" + AC_RATIOS_YR3 : + type: string + description: Account Ratio year 3 + example: "2006" + AC_RATIOS_YR4 : + type: string + description: Account Ratio year 4 + example: "2005" + AC_RATIOS_YR5 : + type: string + description: Account Ratio year 5 + example: "2004" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: number + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From d853d7d234d6293c4ae2c6e8b23fab5492c3e650 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Sep 2020 19:28:43 +0530 Subject: [PATCH 0222/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 93aa755e4..13241a1f5 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -174,7 +174,7 @@ AC_RATIOS_YR5 example: properties: - COMP_NAME : + COMP_NAME : type: string description: Company Name example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." @@ -185,16 +185,16 @@ REQ_DATE : type: string description: Requested Date - example: "2009-04-21 10:56:06.716" + example: "2009-04-21" REQ_REG_NO : type: string description: Request Registration Number example: "200003058W" - REQ_NAME : + REQ_NAME : type: string description: Request Name example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REQ_DATE_STR : + REQ_DATE_STR : type: string description: Request Date String example: "21/04/2009 10:56:06" From 2e52a18e263e84bd8beae3136620f68bd3ffe069 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Wed, 30 Sep 2020 08:28:47 +0530 Subject: [PATCH 0223/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 67 +++++++++++++------ 1 file changed, 46 insertions(+), 21 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index e0f4f9d18..60db5e7d7 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -377,98 +377,123 @@ components: properties: SUBJECT_NAME : type: string - description: + description: Subject Name example: COURT_CODE: type: string - description: + description: Court Code example: CASE_CODE: type: string - description: + description: Case Code example: CASE_YEAR: type: string - description: + description: Case Year example: ACTION_DATE: type: string - description: + description: Action Date example: BANKRUPTCY_ACT: type: string - description: + description: Act of Bankruptcy example: HEARING_DATE : type: string - description: + description: Hearing Date example: CURRENCY1: type: string - description: + description: Currency example: AMOUNT1: type: string - description: + description: Amount example: CURRENCY2: type: string - description: + description: Currency example: AMOUNT2: type: string - description: + description: Amount example: CURRENCY3: type: string - description: + description: Currency example: + AMOUNT3: + type: string + description: Amount BANKRUPTCY_TYPE: type: string - description: + description: Bankruptcy Type example: LIST_PLAINTIFF: type: array - description: + description: |+ + List of Plaintiff with following children: + [PLAINTIFF] example: items: properties: PLAINTIFF: type: object - description: + description: |+ + Plaintiff detail with following children: + PLA_NAME + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF example: properties: PLA_NAME: type: string - description: + description: Pla. Name example: PLA_SOLICITOR: type: string - description: + description: Pla. Solicitor example: PLA_SOLICITOR_ID: type: string - description: + description: Pla. Solicitor ID example: PLA_FILE_REF: type: string - description: + description: Pla. File Ref. example: LIST_LIT: type: array - description: List of litigation + description: |+ + List of litigation with following children: + [LIT] example: "[LIT]" items: properties: LIT: type: object + description: |+ + Basic litigation info with following children: + SUBJECT_NAME + SEQ_NO + FORMATTED_ID + [LIST_LIT_DTL] + example: properties: SUBJECT_NAME: type: string + description: Name + example: SEQ_NO: - type: string + type: integer + description: Sequence No. + example: FORMATTED_ID: type: string + description: Formatted ID + example: LIST_LIT_DTL: type: array description: List of litigation detail From 3b531bfc6f590c8aab37be92c470b24e6c8e6aaf Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 30 Sep 2020 13:26:03 +1000 Subject: [PATCH 0224/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 36 +++++++++---------- 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 13241a1f5..504ae3297 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -135,7 +135,7 @@ type: string description: Report Requested example: "BFE" - SYSTEM_ID : + SYSTEM_ID: type: string description: System ID example: "DDP" @@ -143,7 +143,7 @@ type: string description: Report Request Date example: "25/02/2009 17:31:44" - USER_ID : + USER_ID: type: string description: Valid user id in DDP system. It is for (For internal use) example: N/A @@ -174,39 +174,39 @@ AC_RATIOS_YR5 example: properties: - COMP_NAME : + COMP_NAME: type: string description: Company Name example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REG_NO : + REG_NO: type: string description: Company Registration No example: "200003058W" - REQ_DATE : + REQ_DATE: type: string description: Requested Date example: "2009-04-21" - REQ_REG_NO : + REQ_REG_NO: type: string description: Request Registration Number example: "200003058W" - REQ_NAME : + REQ_NAME: type: string description: Request Name example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REQ_DATE_STR : + REQ_DATE_STR: type: string description: Request Date String example: "21/04/2009 10:56:06" - FH_BEFORE_YR1 : + FH_BEFORE_YR1: type: string description: Financial Highlight filed before year 1 example: 2004 - FH_BEFORE_YR2 : + FH_BEFORE_YR2: type: string description: Financial Highlight filed before year 2 example: "2003" - FH_BEFORE_YR3 : + FH_BEFORE_YR3: type: string description: Financial Highlight filed before year 3 example: "2002" @@ -214,11 +214,11 @@ type: string description: Financial Highlight filed after year 1 example: "2005" - FH_AFTER_YR2 : + FH_AFTER_YR2: type: string description: Financial Highlight filed after year 2 example: "2006" - FH_AFTER_YR3 : + FH_AFTER_YR3: type: string description: Financial Highlight filed after year 3 example: "2007" @@ -230,23 +230,23 @@ type: string description: Financial Highlight filed after year 5 example: "2009" - AC_RATIOS_YR1 : + AC_RATIOS_YR1: type: string description: Account Ratio year 1 example: "2008" - AC_RATIOS_YR2 : + AC_RATIOS_YR2: type: string description: Account Ratio year 2 example: "2007" - AC_RATIOS_YR3 : + AC_RATIOS_YR3: type: string description: Account Ratio year 3 example: "2006" - AC_RATIOS_YR4 : + AC_RATIOS_YR4: type: string description: Account Ratio year 4 example: "2005" - AC_RATIOS_YR5 : + AC_RATIOS_YR5: type: string description: Account Ratio year 5 example: "2004" From 158d1812dd33568e0aeef1f5c65e8c2fb949ebcd Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Wed, 30 Sep 2020 09:06:15 +0530 Subject: [PATCH 0225/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 126 ++++++++++++++++-- 1 file changed, 117 insertions(+), 9 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 60db5e7d7..0523c1bf6 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -496,85 +496,193 @@ components: example: LIST_LIT_DTL: type: array - description: List of litigation detail + description: |+ + List of litigation detail with following children: + [LIT_DTL] example: "[LIT_DTL]" items: properties: LIT_DTL: type: object + description: |+ + Litigation detail with following children: + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + FORMATTED_ID + DOC_REMARKS + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + CASE_STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + [LIST_PLAINTIFF] + [LIST_DEFENDANT] + example: properties: NATURE_OF_CLAIM: type: string + description: Nature of Claim + example: STATUS_DATE: type: string + description: Status Date + example: CASE_NO: type: string + description: Case No. + example: FORMATTED_ID: type: string + description: Formatted ID + example: DOC_REMARKS: type: string + description: Document Remark + example: CURRENCY1: - type: string + type: string + description: Currency 1 + example: CURRENCY2: type: string + description: Currency 2 + example: CURRENCY3: type: string + description: Currency 3 + example: CURRENCY4: - type: string + type: string + description: Currency 4 + example: CURRENCY5: type: string + description: Currency 5 + example: CASE_STATUS: type: string + description: Status + example: AMOUNT1: - type: string + type: string + description: Amount 1 + example: AMOUNT2: type: string + description: Amount 2 + example: AMOUNT3: type: string + description: Amount 3 + example: AMOUNT4: - type: string + type: string + description: Amount 4 + example: AMOUNT5: - type: string + type: string + description: Amount 5 + example: LIST_PLAINTIFF: type: array + description: |+ + List of plaintiff with following children: + [PLAINTIFF] + example: items: properties: PLAINTIFF: type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + LAW_FIRM + WRITE_DATE + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_STATUS + PLA_STATUS_DATE + PLA_ID + example: properties: PLA_NAME: type: string + description: Plaintiff Name + example: LAW_FIRM: type: string + description: Pla. Law Firm + example: WRITE_DATE: type: string + description: Writ date + example: PLA_SOLICITOR: - type: string + type: string + description: Plaintiff Solicitor + example: PLA_SOLICITOR_ID: type: string + description: Plaintiff Solicitor ID + example: PLA_FILE_REF: type: string + description: Pla. File Ref. + example: PLA_STATUS: type: string + description: Plaintiff Status + example: PLA_STATUS_DATE: - type: string + type: string + description: Plaintiff Status Date + example: PLA_ID: - type: string + type: string + description: Plaintiff ID + example: LIST_DEFENDANT: type: array + description: |+ + List of defendant with following children: + [DEFENDANT] + example: items: properties: DEFENDANT: type: object + description: |+ + Defendant detail with following children: + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + example: properties: DEF_SOLICITOR: type: string + description: Def. Solicitor + example: DEF_SOLICITOR_ID: type: string + description: Def. Solicitor ID + example: DEF_LAW_FIRM: type: string + description: Def. Law Firm + example: DEF_FILE_REF: type: string + description: Def. File Ref. + example: LIST_Ddrptcount: type: array description: List of Search By Financial Sectors and Search By Non-Financial Sectors From e78e38e5f21eb6132db3d4daefa73257c1c5b45a Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Wed, 30 Sep 2020 09:10:31 +0530 Subject: [PATCH 0226/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 49 +++++++++++++------ 1 file changed, 33 insertions(+), 16 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 0523c1bf6..63a35737a 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -685,69 +685,86 @@ components: example: LIST_Ddrptcount: type: array - description: List of Search By Financial Sectors and Search By Non-Financial Sectors + description: |+ + List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: + [Ddrptcount] example: "[Ddrptcount]" items: properties: Ddrptcount: type: object - description: 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) + description: |+ + 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcyear + Rcsecflag example: Rcjan Rcfeb Rcmar Rcapr Rcmay Rcjun Rcjul Rcaug Rcsep Rcoct Rcnov Rcdec Rcyear Rcsecflag properties: Rcjan: - type: number + type: integer description: Count for January example: "1" Rcfeb: - type: number + type: integer description: Count for February example: "1" Rcmar: - type: number + type: integer description: Count for March example: "1" Rcapr: - type: number + type: integer description: Count for April example: "1" Rcmay: - type: number + type: integer description: Count for May example: "1" Rcjun: - type: number + type: integer description: Count for June example: "1" Rcjul: - type: number + type: integer description: Count for July example: "1" Rcaug: - type: number + type: integer description: Count for August example: "1" Rcsep: - type: number + type: integer description: Count for September example: "1" Rcoct: - type: number + type: integer description: Count for October example: "1" Rcnov: - type: number + type: integer description: Count for November example: "1" Rcdec: - type: number + type: integer description: Count for December example: "1" Rcyear: - type: number + type: integer description: To show the year example: "1" Rcsecflag: - type: number + type: integer description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors example: "1" unauthorized: From 23b2e474dafe75f8d6c738c725b37842fb52bed0 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Wed, 30 Sep 2020 09:32:28 +0530 Subject: [PATCH 0227/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 177 +++++++++++++----- 1 file changed, 131 insertions(+), 46 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 63a35737a..51e670d93 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -100,7 +100,13 @@ components: properties: META_INFO: type: object - example: + example: |+ + + + + 25/02/2009 17:31:44.678 + + description: |+ Meta Information details with following children: SERVICE @@ -110,11 +116,11 @@ components: properties: SERVICE: type: string - example: "" + example: "BIS" description: Report Requested SYSTEM_ID : type: string - example: "" + example: "DDP" description: System ID CREATION_DATE: type: datetime @@ -122,8 +128,8 @@ components: description: Report Request Date USER_ID : type: string - example: "" - description: Valid user id in DDP system + example: N/A + description: Valid user id in DDP system. It is for (For internal use) BASIC_INFO : type: object description: |+ @@ -132,27 +138,42 @@ components: ADDRESS1 ADDRESS2 ADDRESS3 - example: PA_REG_NO ADDRESS1 ADDRESS2 ADDRESS3 + example: |+ + + + + + + properties: PA_REG_NO : type: string description: Public Accountant Registration No. - example: "" + example: "00091" ADDRESS1: type: string description: Address 1 - example: "" + example: "137, BEDOK RESERVOIR ROAD, 06 - 1451" ADDRESS2: type: string description: Address 2 - example: "" + example: ADDRESS3: type: string description: Address 3 - example: "" + example: "470137, SINGAPORE" LIT_SEARCH_INFO : type: object - example: "COMP_NAME REG_NO REPORT_TYPE REQ_DATE REQ_REG_NO REQ_NAME REQ_DATE_STR" + example: |+ + + + + + 25/02/2009 17:31:44 + + + + description: |+ Litigation search information with following children: COMP_NAME @@ -166,15 +187,15 @@ components: COMP_NAME: type: string description: Company Name - example: "" + example: "ENG YICK HOLDINGS PTE LTD" REG_NO: type: string description: Company Registration No - example: "" + example: "197803191K" REPORT_TYPE: type: string description: Report Type - example: "" + example: "BIS" REQ_DATE: type: datetime description: Requested Date @@ -182,21 +203,39 @@ components: REQ_REG_NO: type: string description: Request Registration Number - example: "" + example: "197803191K" REQ_NAME: type: string description: Request Name - example: "" + example: "LOY KOK TOON" REQ_DATE_STR: type: string description: Request Date String - example: "" + example: "25/02/2009 15:04:14" LIST_CURRENT_COMP : type: object description: |+ List of current companies with following children: [CURRENT_COMP] - example: + example: |+ + + + + + + + + + + + + + + + + + + properties: CURRENT_COMP: type: object @@ -215,66 +254,98 @@ components: SIC SIC_DESC example: |+ + + + + + + + + + + + + + + + + properties: POSITION: type: string description: Position - example: "" + example: "OWNER" APPOINTMENT_DATE: type: string description: Appointment Date - example: "" + example: "01/09/1971" COMP_NAME: type: string description: Company Name - example: "" + example: "BAN HOE LEONG COMPANY" SEQ_NO: type: string description: Company Registration No. - example: "" + example: "03647300J" SHARE_VALUE1: type: string description: Share Percentage - example: "" + example: "15.00" COMP_STATUS: type: string description: Company Status - example: "" + example: "LIVE" PROFIT_VALUE1: type: string description: Profit Making 1 - example: "" + example: "2008 = -" PROFIT_VALUE2: type: string description: Profit Making 2 - example: "" + example: "2007 = -" PROFIT_VALUE3: type: string description: Profit Making 3 - example: "" + example: "2006 = -" SHARE_VALUE: type: string description: Number Of Shares - example: "" + example: "150000" TEL: type: string description: Telephone Number - example: "" + example: "62994842" FAX: type: string description: Fax Number - example: "" + example: "62992797" SIC: type: string description: SIC Code - example: "" + example: "5012" SIC_DESC: type: string description: SIC Description - example: "" + example: "Automobiles and other Motor Vehicles" LIST_PREVIOUS_COMP: type: array - example: "[PREVIOUS_COMP]" + example: |+ + + + + + + + + + + + + + + + + description: |+ List of previous companies with following children: [PREVIOUS_COMP] @@ -296,56 +367,70 @@ components: FAX SIC SIC_DESC - example: + example: |+ + + + + + + + + + + + + + + properties: POSITION : type: string description: Position - example: + example: "SHAREHOLDER" APPOINTMENT_DATE: type: string description: Appointment Date - example: + example: "30/06/1988" COMP_NAME: type: string description: Company Name - example: + example: "ENG YICK INDUSTRIES PTE LTD" SEQ_NO: type: string description: Company Registration No. - example: + example: "198101820Z" SHARE_VALUE1: type: string description: Share Value Percentage - example: + example: "100.00" COMP_STATUS: type: string description: Company Status - example: + example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" CESSATION_DATE : type: string description: Cessation Date - example: + example: "22/09/1992" SHARE_VALUE: type: string description: Number Of Shares - example: + example: "390002" TEL: type: string description: Telephone Number - example: + example: "62994842" FAX: type: string description: Fax Number - example: + example: "67467646" SIC: type: string description: SIC Code - example: + example: "2325" SIC_DESC: type: string description: SIC Description - example: + example: "Men’s and Boys’ Separate Trousers and Slacks" LIST_BANKRUPTCY: type: array description: |+ From e9b30f53bfdcce01de6eee43125d8c90179043b3 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Wed, 30 Sep 2020 09:50:47 +0530 Subject: [PATCH 0228/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 349 +++++++++++++++--- 1 file changed, 300 insertions(+), 49 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 51e670d93..5551a784b 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -436,7 +436,33 @@ components: description: |+ Bankruptcy/ Winding up with following children: [BANKRUPTCY] - example: "[BANKRUPTCY]" + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + items: properties: BANKRUPTCY : @@ -458,7 +484,31 @@ components: AMOUNT3 BANKRUPTCY_TYPE [LIST_PLAINTIFF] - example: + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + properties: SUBJECT_NAME : type: string @@ -467,27 +517,27 @@ components: COURT_CODE: type: string description: Court Code - example: + example: "CWU" CASE_CODE: type: string description: Case Code - example: + example: "381" CASE_YEAR: type: string description: Case Year - example: + example: "2000" ACTION_DATE: type: string description: Action Date - example: + example: "22/12/2000" BANKRUPTCY_ACT: type: string description: Act of Bankruptcy - example: + example: "Petition for Winding Up" HEARING_DATE : type: string description: Hearing Date - example: + example: "26/03/2009" CURRENCY1: type: string description: Currency @@ -495,7 +545,7 @@ components: AMOUNT1: type: string description: Amount - example: + example: "334,616.00" CURRENCY2: type: string description: Currency @@ -503,7 +553,7 @@ components: AMOUNT2: type: string description: Amount - example: + example: "0.00" CURRENCY3: type: string description: Currency @@ -511,16 +561,25 @@ components: AMOUNT3: type: string description: Amount + example: "0.00" BANKRUPTCY_TYPE: type: string description: Bankruptcy Type - example: + example: "COMPANY WINDING UP PETITION" LIST_PLAINTIFF: type: array description: |+ List of Plaintiff with following children: [PLAINTIFF] - example: + example: |+ + + + + + + + + items: properties: PLAINTIFF: @@ -531,16 +590,22 @@ components: PLA_SOLICITOR PLA_SOLICITOR_ID PLA_FILE_REF - example: + example: |+ + + + + + + properties: PLA_NAME: type: string description: Pla. Name - example: + example: "B 2003 P1" PLA_SOLICITOR: type: string description: Pla. Solicitor - example: + example: "PATRICK KHOO ENG HOCK" PLA_SOLICITOR_ID: type: string description: Pla. Solicitor ID @@ -548,13 +613,20 @@ components: PLA_FILE_REF: type: string description: Pla. File Ref. - example: + example: "RSP/292668/1" LIST_LIT: type: array description: |+ List of litigation with following children: [LIT] - example: "[LIT]" + example: |+ + + + + + + + items: properties: LIT: @@ -565,26 +637,83 @@ components: SEQ_NO FORMATTED_ID [LIST_LIT_DTL] - example: + example: |+ + + + + + properties: SUBJECT_NAME: type: string description: Name - example: + example: "ENG YICK HOLDINGS PTE LTD" SEQ_NO: type: integer description: Sequence No. - example: + example: 1 FORMATTED_ID: type: string description: Formatted ID - example: + example: "197803191K" LIST_LIT_DTL: type: array description: |+ List of litigation detail with following children: [LIT_DTL] - example: "[LIT_DTL]" + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + S7250163B + + + + + + + + + - + - + S7250163B + + + + + + + + + + + + items: properties: LIT_DTL: @@ -609,32 +738,82 @@ components: AMOUNT5 [LIST_PLAINTIFF] [LIST_DEFENDANT] - example: + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + S7250163B + + + + + + + + + - + - + S7250163B + + + + + + + + + + + properties: NATURE_OF_CLAIM: type: string description: Nature of Claim - example: + example: "CONTRACTS-WORK DONE & SERVICES RENDERED" STATUS_DATE: type: string description: Status Date - example: + example: "13/08/2001" CASE_NO: type: string description: Case No. - example: + example: "MC 23631 / 2001" FORMATTED_ID: type: string description: Formatted ID - example: + example: "197803191K" DOC_REMARKS: type: string description: Document Remark - example: + example: "WRIT OF SUMMONS" CURRENCY1: type: string description: Currency 1 - example: + example: "SIN" CURRENCY2: type: string description: Currency 2 @@ -654,33 +833,46 @@ components: CASE_STATUS: type: string description: Status - example: + example: "PENDING AS AT STATUS DATE" AMOUNT1: type: string description: Amount 1 - example: + example: "36,196.00" AMOUNT2: type: string description: Amount 2 - example: + example: "0.00" AMOUNT3: type: string description: Amount 3 - example: + example: "0.00" AMOUNT4: type: string description: Amount 4 - example: + example: "0.00" AMOUNT5: type: string description: Amount 5 - example: + example: "0.00" LIST_PLAINTIFF: type: array description: |+ List of plaintiff with following children: [PLAINTIFF] - example: + example: |+ + + + + + + + + + - + - + S7250163B + + items: properties: PLAINTIFF: @@ -696,32 +888,43 @@ components: PLA_STATUS PLA_STATUS_DATE PLA_ID - example: + example: |+ + + + + + + + + - + - + S7250163B + properties: PLA_NAME: type: string description: Plaintiff Name - example: + example: "ROTARY PILING PTE LTD" LAW_FIRM: type: string description: Pla. Law Firm - example: + example: "JOSEPH HOO MORRIS & KUMAR" WRITE_DATE: type: string description: Writ date - example: + example: "13/08/2001" PLA_SOLICITOR: type: string description: Plaintiff Solicitor - example: + example: "HOO JOSEPH" PLA_SOLICITOR_ID: type: string description: Plaintiff Solicitor ID - example: + example: "ORS" PLA_FILE_REF: type: string description: Pla. File Ref. - example: + example: "CHH 6253 D27" PLA_STATUS: type: string description: Plaintiff Status @@ -733,13 +936,21 @@ components: PLA_ID: type: string description: Plaintiff ID - example: + example: "S7250163B" LIST_DEFENDANT: type: array description: |+ List of defendant with following children: [DEFENDANT] - example: + example: |+ + + + + + + + + items: properties: DEFENDANT: @@ -750,7 +961,13 @@ components: DEF_SOLICITOR_ID DEF_LAW_FIRM DEF_FILE_REF - example: + example: |+ + + + + + + properties: DEF_SOLICITOR: type: string @@ -759,7 +976,7 @@ components: DEF_SOLICITOR_ID: type: string description: Def. Solicitor ID - example: + example: N/A DEF_LAW_FIRM: type: string description: Def. Law Firm @@ -773,7 +990,25 @@ components: description: |+ List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: [Ddrptcount] - example: "[Ddrptcount]" + example: |+ + + + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 2017 + 1 + + items: properties: Ddrptcount: @@ -794,7 +1029,23 @@ components: Rcdec Rcyear Rcsecflag - example: Rcjan Rcfeb Rcmar Rcapr Rcmay Rcjun Rcjul Rcaug Rcsep Rcoct Rcnov Rcdec Rcyear Rcsecflag + example: |+ + + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 2017 + 1 + properties: Rcjan: type: integer From d0202d573448d3d93525818373d7e9311e827560 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 30 Sep 2020 14:55:50 +1000 Subject: [PATCH 0229/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 76 +++++++++++++++++-- 1 file changed, 71 insertions(+), 5 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 5551a784b..4e19162c4 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -28,7 +28,73 @@ paths: schema: $ref: '#/components/schemas/success' example: |+ - string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string 0 0 0 0 0 0 0 0 0 0 0 0 0 0 + + 25/02/2009 17:31:44.678 + + + + + + 25/02/2009 17:31:44 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - S7250163B + + + - - S7250163B + + + + + + 1 1 1 1 1 1 1 1 1 1 1 1 2017 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2016 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2015 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 + + 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 + + 0 0 0 0 0 0 0 0 0 0 0 + 0 2015 0 + + '401': description: Unauthorized content: @@ -1185,15 +1251,15 @@ components: default: false ENQUIRY: type: object - example: + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD description: Contains information of each request details default: true properties: SUBJECT_IDNO: type: string - example: "199707714C" - description: |+ - Subjects ID Number (individual) or Registration + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" default: true SUBJECT_NAME: type: string From 602da9abd00e14065e8657dabac03c383ec049a6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Sep 2020 11:02:47 +0530 Subject: [PATCH 0230/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...asicIndividualSearchDun&Bradstreet(SG).yaml | 18 +----------------- 1 file changed, 1 insertion(+), 17 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 4e19162c4..d915e7cc7 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -319,23 +319,7 @@ components: FAX SIC SIC_DESC - example: |+ - - - - - - - - - - - - - - - - + example: properties: POSITION: type: string From 8b2005195de180c135d43bb95e19a2caa52c44a5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Sep 2020 11:05:42 +0530 Subject: [PATCH 0231/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...asicIndividualSearchDun&Bradstreet(SG).yaml | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index d915e7cc7..63cd2ec54 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -319,7 +319,23 @@ components: FAX SIC SIC_DESC - example: + example: |+ + + + + + + + + + + + + + + + + properties: POSITION: type: string From b1f61da6cb85d9a4a6cf632089398a7a1f58dffe Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Sep 2020 11:31:40 +0530 Subject: [PATCH 0232/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 185 +++++++++--------- 1 file changed, 93 insertions(+), 92 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 63cd2ec54..110724dee 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -279,7 +279,7 @@ components: description: Request Date String example: "25/02/2009 15:04:14" LIST_CURRENT_COMP : - type: object + type: array description: |+ List of current companies with following children: [CURRENT_COMP] @@ -302,97 +302,98 @@ components: - properties: - CURRENT_COMP: - type: object - description: |+ - Current companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - PROFIT_VALUE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: |+ - - - - - - - - - - - - - - - - - properties: - POSITION: - type: string - description: Position - example: "OWNER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "01/09/1971" - COMP_NAME: - type: string - description: Company Name - example: "BAN HOE LEONG COMPANY" - SEQ_NO: - type: string - description: Company Registration No. - example: "03647300J" - SHARE_VALUE1: - type: string - description: Share Percentage - example: "15.00" - COMP_STATUS: - type: string - description: Company Status - example: "LIVE" - PROFIT_VALUE1: - type: string - description: Profit Making 1 - example: "2008 = -" - PROFIT_VALUE2: - type: string - description: Profit Making 2 - example: "2007 = -" - PROFIT_VALUE3: - type: string - description: Profit Making 3 - example: "2006 = -" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "150000" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "62992797" - SIC: - type: string - description: SIC Code - example: "5012" - SIC_DESC: - type: string - description: SIC Description - example: "Automobiles and other Motor Vehicles" + items: + properties: + CURRENT_COMP: + type: object + description: |+ + Current companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + PROFIT_VALUE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: |+ + + + + + + + + + + + + + + + + + properties: + POSITION: + type: string + description: Position + example: "OWNER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "01/09/1971" + COMP_NAME: + type: string + description: Company Name + example: "BAN HOE LEONG COMPANY" + SEQ_NO: + type: string + description: Company Registration No. + example: "03647300J" + SHARE_VALUE1: + type: string + description: Share Percentage + example: "15.00" + COMP_STATUS: + type: string + description: Company Status + example: "LIVE" + PROFIT_VALUE1: + type: string + description: Profit Making 1 + example: "2008 = -" + PROFIT_VALUE2: + type: string + description: Profit Making 2 + example: "2007 = -" + PROFIT_VALUE3: + type: string + description: Profit Making 3 + example: "2006 = -" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "150000" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "62992797" + SIC: + type: string + description: SIC Code + example: "5012" + SIC_DESC: + type: string + description: SIC Description + example: "Automobiles and other Motor Vehicles" LIST_PREVIOUS_COMP: type: array example: |+ From b39bce1a4a61e07f27a251f5e90a43a70241ac8c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:06:39 +0530 Subject: [PATCH 0233/5916] Update spacy_named-entity_recognition_eng.yaml --- yaml/spacy_named-entity_recognition_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/yaml/spacy_named-entity_recognition_eng.yaml b/yaml/spacy_named-entity_recognition_eng.yaml index 9d2091663..50fc2fbd1 100644 --- a/yaml/spacy_named-entity_recognition_eng.yaml +++ b/yaml/spacy_named-entity_recognition_eng.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Named-Entity Recognition ENG using SPACY + title: spaCy NER description: |+ This NLP microservice locates and classifies the named-entities classes from input unstructured English text. @@ -13,7 +13,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Sept 28, 2020" + description: "Published Date - Sep 30, 2020" paths: /microservices/nlp/spacyner/v0.1/getpredictions: post: @@ -275,7 +275,7 @@ components: items: oneOf: - type: string - example: Published Date - Sept 28,2020 + example: Published Date - Sep 30, 2020 description: Initial version release input: type: object From 6b7e723c6d0b291e386e7a213fa1686956a7f27a Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:09:53 +0530 Subject: [PATCH 0234/5916] Update BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml index f19d9a707..1d8950c0c 100644 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ b/yaml/BusinessCheckDun&Bradstreet(SG).yaml @@ -893,7 +893,7 @@ components: description: Currency example: SGD AMOUNT : - type: float + type: integer description: Amount example: 30000.00 LIST_Ddrptcount : From 82c0ad3035ee696e7c9f1ef0fc8a3135eb02bbd8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:15:01 +0530 Subject: [PATCH 0235/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 508af683d..ad5a72b08 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -188,6 +188,16 @@ status: type: string example: Failure + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + description: Updated version release input: type: object From a5a64375c8e5f4017f3468198dedd7a207c4d00b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:16:10 +0530 Subject: [PATCH 0236/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index ad5a72b08..e76a5d221 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -191,7 +191,7 @@ versions: type: object properties: - v0.1: + v2.0: type: array items: oneOf: From 98e58a0695ec302c25320f63755fd81482bb6576 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:20:47 +0530 Subject: [PATCH 0237/5916] Update page_profiler_jp.yaml --- yaml/page_profiler_jp.yaml | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml index 68fc138e4..c6edb94c4 100644 --- a/yaml/page_profiler_jp.yaml +++ b/yaml/page_profiler_jp.yaml @@ -211,7 +211,16 @@ status: type: string example: Failure - + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + description: Initial version release input: type: object required: From 8e02925a81613bd843f18f255acd8106cdc73000 Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:20:58 +0530 Subject: [PATCH 0238/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 33 +++++++++++++++++-- 1 file changed, 30 insertions(+), 3 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 504ae3297..f1c09cca8 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -129,7 +129,13 @@ SYSTEM_ID CREATION_DATE USER_ID - example: + example: |+ + + + + 25/02/2009 17:31:44> + + properties: SERVICE: type: string @@ -172,7 +178,28 @@ AC_RATIOS_YR3 AC_RATIOS_YR4 AC_RATIOS_YR5 - example: + example: |+ + + + + 2009-04-21 10:56:06.716 + + + + 2004 + 2003 + 2002 + 2005 + 2006 + 2007 + 2008 + 2009 + 2008 + 2007 + 2006 + 2005 + 2004 + properties: COMP_NAME: type: string @@ -201,7 +228,7 @@ FH_BEFORE_YR1: type: string description: Financial Highlight filed before year 1 - example: 2004 + example: "2004" FH_BEFORE_YR2: type: string description: Financial Highlight filed before year 2 From a083a0010a5263fad846c2132160fd400f5b3826 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:22:25 +0530 Subject: [PATCH 0239/5916] Update page_profiler_thai.yaml --- yaml/page_profiler_thai.yaml | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_thai.yaml b/yaml/page_profiler_thai.yaml index 80a3d69a3..b7c5b1566 100644 --- a/yaml/page_profiler_thai.yaml +++ b/yaml/page_profiler_thai.yaml @@ -223,7 +223,16 @@ status: type: string example: Failure - + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + description: Initial version release input: type: object required: From a5ab63917bf05c1320895de19cfa5cbb5576629c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:24:27 +0530 Subject: [PATCH 0240/5916] Update page_profiler_eng.yaml --- yaml/page_profiler_eng.yaml | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng.yaml b/yaml/page_profiler_eng.yaml index af0754cce..24cf3bdf8 100644 --- a/yaml/page_profiler_eng.yaml +++ b/yaml/page_profiler_eng.yaml @@ -176,7 +176,16 @@ status: type: string example: Failure - + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 11, 2018 + description: Initial version release input: type: object required: From 789d81bae5e0e62edd438985717d615e0033bcd9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:28:21 +0530 Subject: [PATCH 0241/5916] Update web_scraper.yaml --- yaml/web_scraper.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/web_scraper.yaml b/yaml/web_scraper.yaml index 0a82c02db..96b797f45 100644 --- a/yaml/web_scraper.yaml +++ b/yaml/web_scraper.yaml @@ -301,7 +301,7 @@ components: url: type: string default: true - example: https://www.bbc.co.uk + example: "The absolute input url, i.e exact, full address (URL) to the page" description: Web page URL queryList: type: array From 01da0b31e503dbba13aa052fbd1462305689be8d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:28:44 +0530 Subject: [PATCH 0242/5916] Update page_profiler_thai.yaml --- yaml/page_profiler_thai.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_thai.yaml b/yaml/page_profiler_thai.yaml index b7c5b1566..ac5ae9089 100644 --- a/yaml/page_profiler_thai.yaml +++ b/yaml/page_profiler_thai.yaml @@ -242,7 +242,7 @@ x-name: url type: string default: true - example: https://www.komchadluek.net/ + example: "The absolute input url, i.e exact, full address (URL) to the page" description: |+ Input url From 797b4ccc116515af70df6494d2c584546424494a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:28:58 +0530 Subject: [PATCH 0243/5916] Update page_profiler_eng.yaml --- yaml/page_profiler_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng.yaml b/yaml/page_profiler_eng.yaml index 24cf3bdf8..b8ae4255b 100644 --- a/yaml/page_profiler_eng.yaml +++ b/yaml/page_profiler_eng.yaml @@ -195,7 +195,7 @@ x-name: url type: string default: true - example: https://www.sentient.io/en/ + example: "The absolute input url, i.e exact, full address (URL) to the page" description: |+ Input url From 0afa90d17f07fd874d7d1bb1f6dbec9c6c8f4e9f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:29:11 +0530 Subject: [PATCH 0244/5916] Update page_profiler_jp.yaml --- yaml/page_profiler_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml index c6edb94c4..39a9d912e 100644 --- a/yaml/page_profiler_jp.yaml +++ b/yaml/page_profiler_jp.yaml @@ -230,7 +230,7 @@ x-name: url type: string default: true - example: https://www.bbc.com/japanese + example: "The absolute input url, i.e exact, full address (URL) to the page" description: |+ Input url From bed7249bab563785ecec67f1fd20b55fdc12570f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:29:46 +0530 Subject: [PATCH 0245/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index e76a5d221..f74cdfa25 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -208,7 +208,7 @@ x-name: url type: string default: true - example: https://www.sentient.io/en/ + example: "The absolute input url, i.e exact, full address (URL) to the page" description: |+ Input url From 58ee3da529275ca9cf2ce376b9c166af683cb7e0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:31:19 +0530 Subject: [PATCH 0246/5916] Update page_profiler_eng.yaml --- yaml/page_profiler_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng.yaml b/yaml/page_profiler_eng.yaml index b8ae4255b..dda40bb34 100644 --- a/yaml/page_profiler_eng.yaml +++ b/yaml/page_profiler_eng.yaml @@ -179,7 +179,7 @@ versions: type: object properties: - v0.1: + v1.0: type: array items: oneOf: From 193d774c0a7d4857014b8c82c5170e4cd53cfa76 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:32:18 +0530 Subject: [PATCH 0247/5916] Update page_profiler_jp.yaml --- yaml/page_profiler_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml index 39a9d912e..e82fbda49 100644 --- a/yaml/page_profiler_jp.yaml +++ b/yaml/page_profiler_jp.yaml @@ -7,7 +7,7 @@ The named-entity classes extracted are persons, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - version: '1.0' + version: '0.1' servers: - url: 'https://apis.sentient.io' tags: From 6089d6db5d00804eadd6eac8d4ea775ab469ed0f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 12:35:09 +0530 Subject: [PATCH 0248/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index f74cdfa25..b5962d497 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -198,7 +198,13 @@ - type: string example: Published Date - Sep 30, 2020 description: Updated version release - + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 11, 2018 + description: Initial version release input: type: object required: From 286274f515c8c06679ca8aabef8485bf6a7a7223 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 30 Sep 2020 17:17:49 +1000 Subject: [PATCH 0249/5916] Update index.yaml --- yaml/index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 36b41090e..4a14a1bca 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -41,8 +41,8 @@ NLP: versions: v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng_v1.0.yaml" v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_eng.yaml" - Named-Entity Recognition ENG using SPACY: - title: Named-Entity Recognition ENG using SPACY + spaCy NER: + title: spaCy NER versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/spacy_named-entity_recognition_eng.yaml" Page Profiler ENG: From 9a5b7173905a885e1d3ceb2e963267079808a173 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 13:05:31 +0530 Subject: [PATCH 0250/5916] Update newspaper_article_scraper.yaml --- yaml/newspaper_article_scraper.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/yaml/newspaper_article_scraper.yaml b/yaml/newspaper_article_scraper.yaml index 895356ff2..ae2e1b0af 100644 --- a/yaml/newspaper_article_scraper.yaml +++ b/yaml/newspaper_article_scraper.yaml @@ -41,7 +41,7 @@ paths: - worlds language: en link: https://www.bangkokpost.com/learning/news/1272315/study-and-work-in-australia-%E2%80%93-many-opportunities-ahead- - publish_date: [] + publish_date: 2020-09-30T07:11:15 summary: |- Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. @@ -168,7 +168,7 @@ components: description: Main article link url. publish_date: type: string - example: [] + example: 2020-09-30T07:11:15 description: Published date of news article. summary: type: string @@ -290,7 +290,7 @@ components: properties: url: type: string - example: https://www.bangkokpost.com/learning/news/1272315/study-and-work-in-australia-%E2%80%93-many-opportunities-ahead + example: "The absolute input url, i.e exact, full address (URL) to the page" default: true description: News article web URL. securitySchemes: From b477dcb8c1aea47dbf2c521622db1d16b6f8ad70 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 30 Sep 2020 15:38:11 +0800 Subject: [PATCH 0251/5916] Thai ner updated v1.0 --- yaml/named-entity_recognition_thai_v1.0.yaml | 60 +++++++++++++++++--- 1 file changed, 51 insertions(+), 9 deletions(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index 7fdd58dcc..3a4a4acae 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -113,16 +113,13 @@ components: description: Json Object of returned results properties: law: + x-name: law type: array - items: - type: string - example: - - รัฐธรรมนูญ + example: [พ.ร.บ.โรคระบาด พ.ศ.2499, รัฐธรรมนูญ] description: "law details found in the text string" location: + x-name: location type: array - items: - type: string example: - ประเทศไทย - มาเลเซีย @@ -138,12 +135,57 @@ components: - กัมพูชาทางทิศใต้ติดกับอ่าวไทย description: "location found in the text string" organization: + x-name: organization type: array - items: - type: string example: - รัฐสภา - description: "organization found in the text string" + description: "organization found in the text string" + date: + x-name: date + type: array + example: [2/21/2004, 16 ก.พ., จันทร์] + description: "date found in the text string" + money: + x-name: money + type: array + example: [2.7 ล้านบาท, 2,000 บาท] + description: "amount of currency found in the text string" + time: + x-name: time + type: array + example: [16.30 น., 5 วัน, 1-3 ปี] + description: "time found in the text string" + email: + x-name: email + type: array + example: [info@nrpsc.ac.th] + description: "email id found in the text string" + len: + x-name: len + type: array + example: [30 กิโลเมตร, 5 กม.] + description: "distance in km found in the text string" + person: + x-name: person + type: array + example: [น.พ.จรัล, นางประนอม ทองจันทร์] + description: "name of person found in the text string" + phone: + x-name: phone + type: array + example: [0 2670 8888] + description: "date found in the text string" + url: + x-name: url + type: array + example: [http://www.bangkokhealth.com/] + description: "url in the text string" + zip: + x-name: zip + type: array + example: [10400] + description: "zipcode found in the text string" + message: type: string example: Successfully Processed From 0f58514d0055887373fbbf85c0051cba3d7a37c1 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 30 Sep 2020 18:15:19 +1000 Subject: [PATCH 0252/5916] Add files via upload --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 1538 ++++++++++++----- 1 file changed, 1150 insertions(+), 388 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index f1c09cca8..d591434ad 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -1,393 +1,1155 @@ - openapi: 3.0.1 - info: - title: Brief Financial Extraction Dun & Bradstreet (SG) - description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. - version: '0.1' - servers: - - url: 'https://api.sentient.io' - tags: - - name: "v0.1" - description: "Published Date - Jul 23, 2019" - paths: - /dnb/prod/sbfe: - post: - tags: - - v0.1 - summary: Adds a new user - requestBody: +openapi: 3.0.1 +info: + title: Brief Financial Extraction Dun & Bradstreet (SG) + description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. + version: '0.1' +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1" + description: "Published Date - Jul 23, 2019" +paths: + /dnb/prod/sbfe: + post: + tags: + - v0.1 + summary: Adds a new user + requestBody: + content: + application/xml: + schema: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: success response content: application/xml: schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: success response - content: - application/xml: - schema: - $ref: '#/components/schemas/success' - example: |+ - - 25/02/2009 17:31:44> - - - 2009-04-21 10:56:06.716 - 2004 2003 2002 2005 - 2006 2007 2008 2009 2008 2007 2006 2005 2004 - - 9403795.00 8617168.00 7807393.00 31467.00 162620.00 1281387.00 31467.00 162620.00 1281387.00 0.00 0.00 60318.00> 31467.00 162620.00 1341705.00 3889213.00 3395740.00 4374368.00 3359007.00 2855754.00 3546381.00 530206.00 539986.00 827987.00> 7370430.00 6845490.00 7661498.00 6739073.00 6157560.00 6435365.00 631357.00 687930.00 122133.00 -3481217.00 -3449750.00 -3287130.00 2000000.00 2000000.00 2000000.00 0.00 0.00 0.00 5481217.00 5449750.00 5287130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - - 10877254.00 9982533.00 1121483.00 262632.00 1347380.00 262632.00 6562990.00 5424551.00 6283449.00 4948821.00 279541.00 475730.00 8434195.00 8643136.00 8434195.00 7933013.00 0.00 710123.00 -1871205.00 -3218585.00 2000000.00 2000000.00 0.00 0.00 -3,871,205.00 -5,218,585.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - 0.00 0.00 0.00 0.00 - - 12.39 2.63 0.00 0.00 0.00 20.53 4.84 0.00 0.00 0.00 -72.01 -8.16 -0.00 -0.00 -0.00 1.66 1.84 2.42 2.54 1.78 0.74 0.62 0.50 0.46 0.55 -28.51 -59.33 -89.51 -101.59 -75.15 128.51 168.27 189.51 201.59 175.15 - - 1121483.0 10877254 2008 - - 262632.0> 9982533 2007 - - -31467.0 9403795 2006 - - -162620.0 8617168 2005 - - -1281387.0 7807393 2004 - - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - components: - schemas: - success: - type: object - properties: - REPORT: - type: object - description: |+ - Report details with following children: - [META_INFO] - [FH_SEARCH_INFO] - [FH_DTL] - [XBRL_DTL] - [FH_RATIO_DTL] - [LIST_FH_CHART_INFO] - example: - properties: - META_INFO: - type: object - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - example: |+ - - - - 25/02/2009 17:31:44> - - - properties: - SERVICE: - type: string - description: Report Requested - example: "BFE" - SYSTEM_ID: - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: string - description: Report Request Date - example: "25/02/2009 17:31:44" - USER_ID: - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - FH_SEARCH_INFO: - type: object - description: |+ - FH search information with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - FH_BEFORE_YR1 - FH_BEFORE_YR2 - FH_BEFORE_YR3 - FH_BEFORE_YR4 - FH_BEFORE_YR5 - FH_AFTER_YR1 - FH_AFTER_YR2 - FH_AFTER_YR3 - FH_AFTER_YR4 - FH_AFTER_YR5 - AC_RATIOS_YR1 - AC_RATIOS_YR2 - AC_RATIOS_YR3 - AC_RATIOS_YR4 - AC_RATIOS_YR5 - example: |+ - - - - 2009-04-21 10:56:06.716 - - - - 2004 - 2003 - 2002 - 2005 - 2006 - 2007 - 2008 - 2009 - 2008 - 2007 - 2006 - 2005 - 2004 - - properties: - COMP_NAME: - type: string - description: Company Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REG_NO: - type: string - description: Company Registration No - example: "200003058W" - REQ_DATE: - type: string - description: Requested Date - example: "2009-04-21" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "200003058W" - REQ_NAME: - type: string - description: Request Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REQ_DATE_STR: - type: string - description: Request Date String - example: "21/04/2009 10:56:06" - FH_BEFORE_YR1: - type: string - description: Financial Highlight filed before year 1 - example: "2004" - FH_BEFORE_YR2: - type: string - description: Financial Highlight filed before year 2 - example: "2003" - FH_BEFORE_YR3: - type: string - description: Financial Highlight filed before year 3 - example: "2002" - FH_AFTER_YR1: - type: string - description: Financial Highlight filed after year 1 - example: "2005" - FH_AFTER_YR2: - type: string - description: Financial Highlight filed after year 2 - example: "2006" - FH_AFTER_YR3: - type: string - description: Financial Highlight filed after year 3 - example: "2007" - FH_AFTER_YR4: - type: string - description: Financial Highlight filed after year 4 - example: "2008" - FH_AFTER_YR5: - type: string - description: Financial Highlight filed after year 5 - example: "2009" - AC_RATIOS_YR1: - type: string - description: Account Ratio year 1 - example: "2008" - AC_RATIOS_YR2: - type: string - description: Account Ratio year 2 - example: "2007" - AC_RATIOS_YR3: - type: string - description: Account Ratio year 3 - example: "2006" - AC_RATIOS_YR4: - type: string - description: Account Ratio year 4 - example: "2005" - AC_RATIOS_YR5: - type: string - description: Account Ratio year 5 - example: "2004" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - REQUEST: + $ref: '#/components/schemas/success' + example: |+ + + 25/02/2009 17:31:44> + + + 2009-04-21 10:56:06.716 + 2004 2003 2002 2005 + 2006 2007 2008 2009 2008 2007 2006 2005 2004 + + 9403795.00 8617168.00 7807393.00 31467.00 162620.00 1281387.00 31467.00 162620.00 1281387.00 0.00 0.00 60318.00> 31467.00 162620.00 1341705.00 3889213.00 3395740.00 4374368.00 3359007.00 2855754.00 3546381.00 530206.00 539986.00 827987.00> 7370430.00 6845490.00 7661498.00 6739073.00 6157560.00 6435365.00 631357.00 687930.00 122133.00 -3481217.00 -3449750.00 -3287130.00 2000000.00 2000000.00 2000000.00 0.00 0.00 0.00 5481217.00 5449750.00 5287130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + + 10877254.00 9982533.00 1121483.00 262632.00 1347380.00 262632.00 6562990.00 5424551.00 6283449.00 4948821.00 279541.00 475730.00 8434195.00 8643136.00 8434195.00 7933013.00 0.00 710123.00 -1871205.00 -3218585.00 2000000.00 2000000.00 0.00 0.00 -3,871,205.00 -5,218,585.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 + + 12.39 2.63 0.00 0.00 0.00 20.53 4.84 0.00 0.00 0.00 -72.01 -8.16 -0.00 -0.00 -0.00 1.66 1.84 2.42 2.54 1.78 0.74 0.62 0.50 0.46 0.55 -28.51 -59.33 -89.51 -101.59 -75.15 128.51 168.27 189.51 201.59 175.15 + + 1121483.0 10877254 2008 + + 262632.0> 9982533 2007 + + -31467.0 9403795 2006 + + -162620.0 8617168 2005 + + -1281387.0 7807393 2004 + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: type: object properties: - TOT_ITEMS: - type: number - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: - type: object - example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD - description: Contains information of each request details - default: true - properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 23, 2019 - description: Initial version release - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + REPORT: + type: object + description: |+ + Report details with following children: + [META_INFO] + [FH_SEARCH_INFO] + [FH_DTL] + [XBRL_DTL] + [FH_RATIO_DTL] + [LIST_FH_CHART_INFO] + example: + properties: + META_INFO: + type: object + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + example: + properties: + SERVICE: + type: string + description: Report Requested + example: "BFE" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: string + description: Report Request Date + example: "25/02/2009 17:31:44" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + FH_SEARCH_INFO: + type: object + description: |+ + FH search information with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + FH_BEFORE_YR1 + FH_BEFORE_YR2 + FH_BEFORE_YR3 + FH_BEFORE_YR4 + FH_BEFORE_YR5 + FH_AFTER_YR1 + FH_AFTER_YR2 + FH_AFTER_YR3 + FH_AFTER_YR4 + FH_AFTER_YR5 + AC_RATIOS_YR1 + AC_RATIOS_YR2 + AC_RATIOS_YR3 + AC_RATIOS_YR4 + AC_RATIOS_YR5 + example: + properties: + COMP_NAME : + type: string + description: Company Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REG_NO : + type: string + description: Company Registration No + example: "200003058W" + REQ_DATE : + type: datetime + description: Requested Date + example: "2009-04-21 10:56:06.716" + REQ_REG_NO : + type: string + description: Request Registration Number + example: "200003058W" + REQ_NAME : + type: string + description: Request Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REQ_DATE_STR : + type: string + description: Request Date String + example: "21/04/2009 10:56:06" + FH_BEFORE_YR1 : + type: string + description: Financial Highlight filed before year 1 + example: "2004" + FH_BEFORE_YR2 : + type: string + description: Financial Highlight filed before year 2 + example: "2003" + FH_BEFORE_YR3 : + type: string + description: Financial Highlight filed before year 3 + example: "2002" + FH_AFTER_YR1: + type: string + description: Financial Highlight filed after year 1 + example: "2005" + FH_AFTER_YR2 : + type: string + description: Financial Highlight filed after year 2 + example: "2006" + FH_AFTER_YR3 : + type: string + description: Financial Highlight filed after year 3 + example: "2007" + FH_AFTER_YR4: + type: string + description: Financial Highlight filed after year 4 + example: "2008" + FH_AFTER_YR5: + type: string + description: Financial Highlight filed after year 5 + example: "2009" + AC_RATIOS_YR1 : + type: string + description: Account Ratio year 1 + example: "2008" + AC_RATIOS_YR2 : + type: string + description: Account Ratio year 2 + example: "2007" + AC_RATIOS_YR3 : + type: string + description: Account Ratio year 3 + example: "2006" + AC_RATIOS_YR4 : + type: string + description: Account Ratio year 4 + example: "2005" + AC_RATIOS_YR5 : + type: string + description: Account Ratio year 5 + example: "2004" + FH_DTL: + type: object + description: |+ + Financial Highlight with following children: + FH_YR1_CURR + TURNOVER1 + PL_BEF_TAX1 + PL_AFT_TAX1 + NETINC_NON_EXT1 + PL_AFT_TAX_EXT1 + TOT_ASSETS1 + TA_CURRENT1 + TA_FIXED1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + SH_FUNDS1 + SH_PAIDUP_CAPITAL1 + SH_RESERVES1 + SH_ACCUM_LOSS1 + GRP_TURNOVER1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_NETINC_NON_EXT1 + GRP_PL_AFT_TAX_EXT1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_FIXED1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_SH_FUNDS1 + GRP_SH_PAIDUP_CAPITAL1 + GRP_SH_RESERVES1 + GRP_SH_ACCUM_LOSS1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. + example: + properties: + FH_YR1_CURR : + type: string + description: |+ + FH Before Year 1 Currency + Subsequent Years: + FH_YR2_CURR + FH_YR3_CURR + FH_YR4_CURR + FH_YR5_CURR + example: + TURNOVER1 : + type: string + description: |+ + Turnover / Sales And Other Operating Revenues + Subsequent Years: + TURNOVER2 + TURNOVER3 + TURNOVER4 + TURNOVER5 + example: + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: + PL_AFT_TAX1: + type: string + description: |+ + Profit / Loss After Tax + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: + NETINC_NON_EXT1: + type: string + description: |+ + Net Income / Loss From Extraordinary And Non- Operating Items + Subsequent Years: + NETINC_NON_EXT2 + NETINC_NON_EXT3 + NETINC_NON_EXT4 + NETINC_NON_EXT5 + example: + PL_AFT_TAX_EXT1 : + type: string + description: |+ + Profit / Loss After Tax and Extraordinary Items + Subsequent Years: + PL_AFT_TAX_EXT2 + PL_AFT_TAX_EXT3 + PL_AFT_TAX_EXT4 + PL_AFT_TAX_EXT5 + example: + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: + TA_CURRENT1 : + type: string + description: |+ + Total Assets - Current + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: + TA_FIXED1 : + type: string + description: |+ + Total Assets – Fixed and Others + Subsequent Years: + TA_FIXED2 + TA_FIXED3 + TA_FIXED4 + TA_FIXED5 + example: + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: + TL_CURRENT1 : + type: string + description: |+ + Total Liabilities - Current + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: + TL_NON_CURRENT1 : + type: string + description: |+ + Total Liabilities – Non- Current & Long Term + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: + SH_FUNDS1: + type: string + description: |+ + Shareholder’s Fund + Subsequent Years: + SH_FUNDS2 + SH_FUNDS3 + SH_FUNDS4 + SH_FUNDS5 + example: + SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Shareholder’s Fund – Paid Up Capital + Subsequent Years: + SH_PAIDUP_CAPITAL2 + SH_PAIDUP_CAPITAL3 + SH_PAIDUP_CAPITAL4 + SH_PAIDUP_CAPITAL5 + example: + SH_RESERVES1 : + type: string + description: |+ + Shareholder’s Fund - Reserves + Subsequent Years: + SH_RESERVES2 + SH_RESERVES3 + SH_RESERVES4 + SH_RESERVES5 + example: + SH_ACCUM_LOSS1: + type: string + description: |+ + Shareholder’s Fund – Accumulated Loss + Subsequent Years: + SH_ACCUM_LOSS2 + SH_ACCUM_LOSS3 + SH_ACCUM_LOSS4 + SH_ACCUM_LOSS5 + example: + GRP_TURNOVER1 : + type: string + description: |+ + Group Turnover / Sales and Other Operating Revenues + Subsequent Years: + GRP_TURNOVER2 + GRP_TURNOVER3 + GRP_TURNOVER4 + GRP_TURNOVER5 + example: + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: + GRP_NETINC_NON_EXT1 : + type: string + description: |+ + Group Net Income / Loss From Extraordinary and Non-Operating Items + Subsequent Years: + GRP_NETINC_NON_EXT2 + GRP_NETINC_NON_EXT3 + GRP_NETINC_NON_EXT4 + GRP_NETINC_NON_EXT5 + example: + GRP_PL_AFT_TAX_EXT1: + type: string + description: |+ + Group Profit / Loss After Tax and Extraordinary items + Subsequent Years: + GRP_ PL_AFT_TAX_EXT2 + GRP_ PL_AFT_TAX_EXT3 + GRP_ PL_AFT_TAX_EXT4 + GRP_ PL_AFT_TAX_EXT5 + example: + GRP_TOT_ASSETS1: + type: string + description: |+ + Group Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: + GRP_TA_CURRENT1 : + type: string + description: |+ + Group Total Assets – Current + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT5 + example: + GRP_TA_FIXED1 : + type: string + description: |+ + Group Total Assets – Fixed and Others + Subsequent Years: + GRP_TA_FIXED2 + GRP_TA_FIXED3 + GRP_TA_FIXED4 + GRP_TA_FIXED5 + example: + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: + GRP_TL_CURRENT1 : + type: string + description: |+ + Group Total Liabilities - Current + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group Total Liabilities – Non-Current & Long Term + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: + GRP_SH_FUNDS1 : + type: string + description: |+ + Group Shareholder’s Fund + Subsequent Years: + GRP_ SH_FUNDS2 + GRP_ SH_FUNDS3 + GRP_ SH_FUNDS4 + GRP_ SH_FUNDS5 + example: + GRP_SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Group Shareholder’s Fund – Paid Up Capital + Subsequent Years: + GRP_SH_PAIDUP_CAPITAL2 + GRP_SH_PAIDUP_CAPITAL3 + GRP_SH_PAIDUP_CAPITAL4 + GRP_SH_PAIDUP_CAPITAL5 + example: + GRP_SH_RESERVES1: + type: string + description: |+ + Group Shareholder’s Fund - Reserves + Subsequent Years: + GRP_SH_RESERVES2 + GRP_SH_RESERVES3 + GRP_SH_RESERVES4 + GRP_SH_RESERVES5 + example: + GRP_SH_ACCUM_LOSS1 : + type: string + description: |+ + Group Shareholder’s Fund – Accumulated Loss + Subsequent Years: + GRP_SH_ACCUM_LOSS2 + GRP_SH_ACCUM_LOSS3 + GRP_SH_ACCUM_LOSS4 + GRP_SH_ACCUM_LOSS5 + example: + GRP_INDICATOR1 : + type: string + description: |+ + Company Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: + XBRL_DTL: + type: object + description: |+ + XBRL filed after 1 Nov 2007 with following children: + XBRL_YR1_CURR + REVENUE1 + PL_BEF_TAX1 + PL_AFT_TAX1 + TOT_ASSETS1 + TA_CURRENT1 + TA_NON_CURRENT1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + TOT_EQUITY1 + EQ_SH_CAPITAL1 + EQ_RESERVES1 + EQ_RETAINED_EARN1 + GRP_REVENUE1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_NON_CURRENT1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_TOT_EQUITY1 + GRP_SH_CAPITAL1 + GRP_RESERVES1 + GRP_RETAINED_EARN1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. + example: "" + properties: + XBRL_YR1_CURR: + type: string + description: |+ + FH After Year 1 Currency + Subsequent Years: + XBRL_YR2_CURR + XBRL_YR3_CURR + XBRL_YR4_CURR + XBRL_YR5_CURR + example: + REVENUE1 : + type: string + description: |+ + Revenue Amount + Subsequent Years: + REVENUE2 + REVENUE3 + REVENUE4 + REVENUE5 + example: + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: + PL_AFT_TAX1 : + type: string + description: |+ + Profit / Loss After Tax from Continuing Operations + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: + TA_CURRENT1 : + type: string + description: |+ + Total Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: + TA_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_NON_CURRENT2 + TA_NON_CURRENT3 + TA_NON_CURRENT4 + TA_NON_CURRENT5 + example: + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: + TL_CURRENT1 : + type: string + description: |+ + Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: + TL_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: + TOT_EQUITY1 : + type: string + description: |+ + Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + TOT_EQUITY2 + TOT_EQUITY3 + TOT_EQUITY4 + TOT_EQUITY5 + example: + EQ_SH_CAPITAL1 : + type: string + description: |+ + Total Equity – Share Capital + Subsequent Years: + EQ_SH_CAPITAL2 + EQ_SH_CAPITAL3 + EQ_SH_CAPITAL4 + EQ_SH_CAPITAL5 + example: + EQ_RESERVES1 : + type: string + description: |+ + Total Equity – Other Reserves + Subsequent Years: + EQ_RESERVES2 + EQ_RESERVES3 + EQ_RESERVES4 + EQ_RESERVES5 + example: + EQ_RETAINED_EARN1 : + type: string + description: |+ + Total Equity – Retained Earnings (Accumulated Loss) + Subsequent Years: + EQ_RETAINED_EARN2 + EQ_RETAINED_EARN3 + EQ_RETAINED_EARN4 + EQ_RETAINED_EARN5 + example: + GRP_REVENUE1 : + type: string + description: |+ + Group’s Revenue Amount + Subsequent Years: + GRP_REVENUE2 + GRP_REVENUE3 + GRP_REVENUE4 + GRP_REVENUE5 + example: + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax from Continuing Operations + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: + GRP_TOT_ASSETS1 : + type: string + description: |+ + Group’s Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: + GRP_TA_CURRENT1 : + type: string + description: |+ + Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT4 + example: + GRP_TA_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_NON_CURRENT2 + GRP_TA_NON_CURRENT3 + GRP_TA_NON_CURRENT4 + GRP_TA_NON_CURRENT4 + example: + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group’s Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: + GRP_TL_CURRENT1 : + type: string + description: |+ + Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: + GRP_TOT_EQUITY1 : + type: string + description: |+ + Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + GRP_TOT_EQUITY2 + GRP_TOT_EQUITY3 + GRP_TOT_EQUITY4 + GRP_TOT_EQUITY5 + example: + GRP_SH_CAPITAL1 : + type: string + description: |+ + Group’s Share Capital + Subsequent Years: + GRP_SH_CAPITAL2 + GRP_SH_CAPITAL3 + GRP_SH_CAPITAL4 + GRP_SH_CAPITAL5 + example: + GRP_RESERVES1 : + type: string + description: |+ + Group’s Other Reserves + Subsequent Years: + GRP_RESERVES2 + GRP_RESERVES3 + GRP_RESERVES4 + GRP_RESERVES5 + example: + GRP_RETAINED_EARN1 : + type: string + description: |+ + Group’s – Retained Earnings (Accumulated Loss) + Subsequent Years: + GRP_RETAINED_EARN2 + GRP_RETAINED_EARN3 + GRP_RETAINED_EARN4 + GRP_RETAINED_EARN5 + example: + GRP_INDICATOR1 : + type: string + description: |+ + XBRL Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: + FH_RATIOS_DTL: + type: object + description: |+ + Accounting Ratios Details with following children: + RATE_NET_PROFIT1 + RET_INVESTMENT1 + RET_SH_FUNDS1 + TOT_ASSETS_TURNOVER1 + CURR_CAPITAL_RATIO1 + PROPRIETARY_RATIO1 + TOTAL_DEBT_RATIO1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. + example: + properties: + RATE_NET_PROFIT1 : + type: string + description: |+ + Rate of Net Profit On Sales (%) + Subsequent Years: + RATE_NET_PROFIT2 + RATE_NET_PROFIT3 + RATE_NET_PROFIT4 + RATE_NET_PROFIT5 + example: + RET_INVESTMENT1 : + type: string + description: |+ + Return of Investment (%) + Subsequent Years: + RET_INVESTMENT2 + RET_INVESTMENT3 + RET_INVESTMENT4 + RET_INVESTMENT5 + example: + RET_SH_FUNDS1 : + type: string + description: |+ + Return of Shareholder’s Funds (%) + Subsequent Years: + RET_SH_FUNDS2 + RET_SH_FUNDS3 + RET_SH_FUNDS4 + RET_SH_FUNDS4 + example: + TOT_ASSETS_TURNOVER1 : + type: string + description: |+ + Total Assets Turnover (%) + Subsequent Years: + TOT_ASSETS_TURNOVER2 + TOT_ASSETS_TURNOVER3 + TOT_ASSETS_TURNOVER4 + TOT_ASSETS_TURNOVER5 + example: + CURR_CAPITAL_RATIO1: + type: string + description: |+ + Current / Working Capital Ratio (%) + Subsequent Years: + CURR_CAPITAL_RATIO2 + CURR_CAPITAL_RATIO3 + CURR_CAPITAL_RATIO4 + CURR_CAPITAL_RATIO5 + example: + PROPRIETARY_RATIO1: + type: string + description: |+ + Proprietary Ratio (%) 1 + Subsequent Years: + PROPRIETARY_RATIO2 + PROPRIETARY_RATIO3 + PROPRIETARY_RATIO4 + PROPRIETARY_RATIO5 + example: + TOTAL_DEBT_RATIO1 : + type: string + description: |+ + Total Debt to Equity Ratio (%) 1 + Subsequent Years: + TOTAL_DEBT_RATIO2 + TOTAL_DEBT_RATIO3 + TOTAL_DEBT_RATIO4 + TOTAL_DEBT_RATIO5 + example: + LIST_FH_CHART_INFO : + type: array + example: "[FH_CHART_INFO]" + description: |+ + List of chart info with following children: + [FH_CHART_INFO] + items: + properties: + FH_CHART_INFO: + type: object + description: |+ + Chart Info info with following children: + YEAR + REVENUE + PROFIT_LOSS + properties: + PROFIT_LOSS: + type: string + example: "1121483.0" + description: Profit / Loss Before Tax of the year + REVENUE: + type: string + example: "10877254" + description: Revenue Amount of the year + YEAR: + type: string + example: "2008" + description: Financial Year + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: number + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From b23ea1db58e50c05e6c504ecdd5eef6d8c859378 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 13:47:54 +0530 Subject: [PATCH 0253/5916] Update web_scraper.yaml --- yaml/web_scraper.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/web_scraper.yaml b/yaml/web_scraper.yaml index 96b797f45..8bf412b25 100644 --- a/yaml/web_scraper.yaml +++ b/yaml/web_scraper.yaml @@ -301,8 +301,8 @@ components: url: type: string default: true - example: "The absolute input url, i.e exact, full address (URL) to the page" - description: Web page URL + example: https://www.bbc.co.uk + description: The absolute input url, i.e exact, full address (URL) to the page queryList: type: array default: false From b319ddfee8bdfd3c32e50aa95516983d4d397f16 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 30 Sep 2020 18:23:27 +1000 Subject: [PATCH 0254/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 110724dee..a4eb784ce 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -204,7 +204,7 @@ components: ADDRESS1 ADDRESS2 ADDRESS3 - example: |+ + example: |+ @@ -212,18 +212,18 @@ components: properties: - PA_REG_NO : + PA_REG_NO: type: string description: Public Accountant Registration No. example: "00091" ADDRESS1: type: string description: Address 1 - example: "137, BEDOK RESERVOIR ROAD, 06 - 1451" + example: "137" ADDRESS2: type: string description: Address 2 - example: + example: "vvvvv" ADDRESS3: type: string description: Address 3 From f8e38fec15ebdf69644ea30cb30e3a7f1246046c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 14:03:44 +0530 Subject: [PATCH 0255/5916] Update page_profiler_jp.yaml --- yaml/page_profiler_jp.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml index e82fbda49..876e8df39 100644 --- a/yaml/page_profiler_jp.yaml +++ b/yaml/page_profiler_jp.yaml @@ -230,10 +230,9 @@ x-name: url type: string default: true - example: "The absolute input url, i.e exact, full address (URL) to the page" + example: https://www.bbc.com/japanese description: |+ - Input url - + The absolute input url, i.e exact, full address (URL) to the page securitySchemes: APIAuthorizer: type: apiKey From 93064038f7091fb13d2ed4a4f92f8270589115d8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 14:03:47 +0530 Subject: [PATCH 0256/5916] Update page_profiler_thai.yaml --- yaml/page_profiler_thai.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/page_profiler_thai.yaml b/yaml/page_profiler_thai.yaml index ac5ae9089..cb0fb7bb6 100644 --- a/yaml/page_profiler_thai.yaml +++ b/yaml/page_profiler_thai.yaml @@ -242,9 +242,9 @@ x-name: url type: string default: true - example: "The absolute input url, i.e exact, full address (URL) to the page" + example: https://www.komchadluek.net/ description: |+ - Input url + The absolute input url, i.e exact, full address (URL) to the page securitySchemes: APIAuthorizer: From b46caaad572edf21e7fa76ddbf49d5b75665d428 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 14:04:27 +0530 Subject: [PATCH 0257/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index b5962d497..0cadd52d6 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -214,9 +214,9 @@ x-name: url type: string default: true - example: "The absolute input url, i.e exact, full address (URL) to the page" + example: https://www.sentient.io/en/ description: |+ - Input url + The absolute input url, i.e exact, full address (URL) to the page securitySchemes: APIAuthorizer: From 0c0d6a65c4b52bd40bc3fae0271fc0a58ab81590 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 14:05:14 +0530 Subject: [PATCH 0258/5916] Update page_profiler_eng.yaml --- yaml/page_profiler_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/page_profiler_eng.yaml b/yaml/page_profiler_eng.yaml index dda40bb34..92acd5cec 100644 --- a/yaml/page_profiler_eng.yaml +++ b/yaml/page_profiler_eng.yaml @@ -195,9 +195,9 @@ x-name: url type: string default: true - example: "The absolute input url, i.e exact, full address (URL) to the page" + example: https://www.sentient.io/en/ description: |+ - Input url + The absolute input url, i.e exact, full address (URL) to the page securitySchemes: APIAuthorizer: From 1e0451b40b0b546eaeb3882dc61ef72a18d3d8e6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Sep 2020 14:06:44 +0530 Subject: [PATCH 0259/5916] Update newspaper_article_scraper.yaml --- yaml/newspaper_article_scraper.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/newspaper_article_scraper.yaml b/yaml/newspaper_article_scraper.yaml index ae2e1b0af..058fc1679 100644 --- a/yaml/newspaper_article_scraper.yaml +++ b/yaml/newspaper_article_scraper.yaml @@ -290,9 +290,9 @@ components: properties: url: type: string - example: "The absolute input url, i.e exact, full address (URL) to the page" + example: https://www.bangkokpost.com/learning/news/1272315/study-and-work-in-australia-%E2%80%93-many-opportunities-ahead default: true - description: News article web URL. + description: The absolute input url, i.e exact, full address (URL) to the page securitySchemes: APIAuthorizer: type: apiKey From 234f3a80c64fb62589d3eb82aceebf5ebe8f3dff Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Wed, 30 Sep 2020 14:14:21 +0530 Subject: [PATCH 0260/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 312 ++++++++++++++---- 1 file changed, 248 insertions(+), 64 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index d591434ad..c2663d803 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -129,7 +129,13 @@ components: SYSTEM_ID CREATION_DATE USER_ID - example: + example: |+ + + + + 25/02/2009 17:31:44> + + properties: SERVICE: type: string @@ -172,7 +178,28 @@ components: AC_RATIOS_YR3 AC_RATIOS_YR4 AC_RATIOS_YR5 - example: + example: |+ + + + + 2009-04-21 10:56:06.716 + + + + 2004 + 2003 + 2002 + 2005 + 2006 + 2007 + 2008 + 2009 + 2008 + 2007 + 2006 + 2005 + 2004 + properties: COMP_NAME : type: string @@ -288,7 +315,105 @@ components: GRP_INDICATOR1 Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. - example: + example: |+ + + + + + 9403795.00 + 8617168.00 + 7807393.00 + 31467.00 + 162620.00 + 1281387.00 + 31467.00 + 162620.00 + 1281387.00 + 0.00 + 0.00 + 60318.00> + 31467.00 + 162620.00 + 1341705.00 + 3889213.00 + 3395740.00 + 4374368.00 + 3359007.00 + 2855754.00 + 3546381.00 + 530206.00 + 539986.00 + 827987.00> + 7370430.00 + 6845490.00 + 7661498.00 + 6739073.00 + 6157560.00 + 6435365.00 + 631357.00 + 687930.00 + 122133.00 + -3481217.00 + -3449750.00 + -3287130.00 + 2000000.00 + 2000000.00 + 2000000.00 + 0.00 + 0.00 + 0.00 + 5481217.00 + 5449750.00 + 5287130.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + + + + properties: FH_YR1_CURR : type: string @@ -299,7 +424,7 @@ components: FH_YR3_CURR FH_YR4_CURR FH_YR5_CURR - example: + example: "(SGD)" TURNOVER1 : type: string description: |+ @@ -309,7 +434,7 @@ components: TURNOVER3 TURNOVER4 TURNOVER5 - example: + example: "9403795.00" PL_BEF_TAX1 : type: string description: |+ @@ -319,7 +444,7 @@ components: PL_BEF_TAX3 PL_BEF_TAX4 PL_BEF_TAX5 - example: + example: "31467.00" PL_AFT_TAX1: type: string description: |+ @@ -329,7 +454,7 @@ components: PL_AFT_TAX3 PL_AFT_TAX4 PL_AFT_TAX5 - example: + example: "31467.00" NETINC_NON_EXT1: type: string description: |+ @@ -339,7 +464,7 @@ components: NETINC_NON_EXT3 NETINC_NON_EXT4 NETINC_NON_EXT5 - example: + example: "0.00" PL_AFT_TAX_EXT1 : type: string description: |+ @@ -349,7 +474,7 @@ components: PL_AFT_TAX_EXT3 PL_AFT_TAX_EXT4 PL_AFT_TAX_EXT5 - example: + example: "31467.00" TOT_ASSETS1 : type: string description: |+ @@ -359,7 +484,7 @@ components: TOT_ASSETS3 TOT_ASSETS4 TOT_ASSETS5 - example: + example: "3889213.00" TA_CURRENT1 : type: string description: |+ @@ -369,7 +494,7 @@ components: TA_CURRENT3 TA_CURRENT4 TA_CURRENT5 - example: + example: "3359007.00" TA_FIXED1 : type: string description: |+ @@ -379,7 +504,7 @@ components: TA_FIXED3 TA_FIXED4 TA_FIXED5 - example: + example: "530206.00" TOT_LIABILITIES1 : type: string description: |+ @@ -389,7 +514,7 @@ components: TOT_LIABILITIES3 TOT_LIABILITIES4 TOT_LIABILITIES5 - example: + example: "7370430.00" TL_CURRENT1 : type: string description: |+ @@ -399,7 +524,7 @@ components: TL_CURRENT3 TL_CURRENT4 TL_CURRENT5 - example: + example: "6739073.00" TL_NON_CURRENT1 : type: string description: |+ @@ -409,7 +534,7 @@ components: TL_NON_CURRENT3 TL_NON_CURRENT4 TL_NON_CURRENT5 - example: + example: "631357.00" SH_FUNDS1: type: string description: |+ @@ -419,7 +544,7 @@ components: SH_FUNDS3 SH_FUNDS4 SH_FUNDS5 - example: + example: "-3481217.00" SH_PAIDUP_CAPITAL1 : type: string description: |+ @@ -429,7 +554,7 @@ components: SH_PAIDUP_CAPITAL3 SH_PAIDUP_CAPITAL4 SH_PAIDUP_CAPITAL5 - example: + example: "2000000.00" SH_RESERVES1 : type: string description: |+ @@ -439,7 +564,7 @@ components: SH_RESERVES3 SH_RESERVES4 SH_RESERVES5 - example: + example: "0.00" SH_ACCUM_LOSS1: type: string description: |+ @@ -449,7 +574,7 @@ components: SH_ACCUM_LOSS3 SH_ACCUM_LOSS4 SH_ACCUM_LOSS5 - example: + example: "5481217.00" GRP_TURNOVER1 : type: string description: |+ @@ -459,7 +584,7 @@ components: GRP_TURNOVER3 GRP_TURNOVER4 GRP_TURNOVER5 - example: + example: "0.00" GRP_PL_BEF_TAX1 : type: string description: |+ @@ -469,7 +594,7 @@ components: GRP_PL_BEF_TAX3 GRP_PL_BEF_TAX4 GRP_PL_BEF_TAX5 - example: + example: "0.00" GRP_PL_AFT_TAX1 : type: string description: |+ @@ -479,7 +604,7 @@ components: GRP_PL_AFT_TAX3 GRP_PL_AFT_TAX4 GRP_PL_AFT_TAX5 - example: + example: "0.00" GRP_NETINC_NON_EXT1 : type: string description: |+ @@ -489,7 +614,7 @@ components: GRP_NETINC_NON_EXT3 GRP_NETINC_NON_EXT4 GRP_NETINC_NON_EXT5 - example: + example: "0.00" GRP_PL_AFT_TAX_EXT1: type: string description: |+ @@ -499,7 +624,7 @@ components: GRP_ PL_AFT_TAX_EXT3 GRP_ PL_AFT_TAX_EXT4 GRP_ PL_AFT_TAX_EXT5 - example: + example: "0.00" GRP_TOT_ASSETS1: type: string description: |+ @@ -509,7 +634,7 @@ components: GRP_TOT_ASSETS3 GRP_TOT_ASSETS4 GRP_TOT_ASSETS5 - example: + example: "0.00" GRP_TA_CURRENT1 : type: string description: |+ @@ -519,7 +644,7 @@ components: GRP_TA_CURRENT3 GRP_TA_CURRENT4 GRP_TA_CURRENT5 - example: + example: "0.00" GRP_TA_FIXED1 : type: string description: |+ @@ -529,7 +654,7 @@ components: GRP_TA_FIXED3 GRP_TA_FIXED4 GRP_TA_FIXED5 - example: + example: "0.00" GRP_TOT_LIABILITIES1 : type: string description: |+ @@ -539,7 +664,7 @@ components: GRP_TOT_LIABILITIES3 GRP_TOT_LIABILITIES4 GRP_TOT_LIABILITIES5 - example: + example: "0.00" GRP_TL_CURRENT1 : type: string description: |+ @@ -549,7 +674,7 @@ components: GRP_TL_CURRENT3 GRP_TL_CURRENT4 GRP_TL_CURRENT5 - example: + example: "0.00" GRP_TL_NON_CURRENT1 : type: string description: |+ @@ -559,7 +684,7 @@ components: GRP_TL_NON_CURRENT3 GRP_TL_NON_CURRENT4 GRP_TL_NON_CURRENT5 - example: + example: "0.00" GRP_SH_FUNDS1 : type: string description: |+ @@ -569,7 +694,7 @@ components: GRP_ SH_FUNDS3 GRP_ SH_FUNDS4 GRP_ SH_FUNDS5 - example: + example: "0.00" GRP_SH_PAIDUP_CAPITAL1 : type: string description: |+ @@ -579,7 +704,7 @@ components: GRP_SH_PAIDUP_CAPITAL3 GRP_SH_PAIDUP_CAPITAL4 GRP_SH_PAIDUP_CAPITAL5 - example: + example: "0.00" GRP_SH_RESERVES1: type: string description: |+ @@ -589,7 +714,7 @@ components: GRP_SH_RESERVES3 GRP_SH_RESERVES4 GRP_SH_RESERVES5 - example: + example: "0.00" GRP_SH_ACCUM_LOSS1 : type: string description: |+ @@ -599,7 +724,7 @@ components: GRP_SH_ACCUM_LOSS3 GRP_SH_ACCUM_LOSS4 GRP_SH_ACCUM_LOSS5 - example: + example: "0.00" GRP_INDICATOR1 : type: string description: |+ @@ -609,7 +734,7 @@ components: GRP_INDICATOR3 GRP_INDICATOR4 GRP_INDICATOR5 - example: + example: "B" XBRL_DTL: type: object description: |+ @@ -644,7 +769,66 @@ components: GRP_INDICATOR1 Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. - example: "" + example: |+ + + + + 10877254.00 + 9982533.00 + 1121483.00 + 262632.00 + 1347380.00 + 262632.00 + 6562990.00 + 5424551.00 + 6283449.00 + 4948821.00 + 279541.00 + 475730.00 + 8434195.00 + 8643136.00 + 8434195.00 + 7933013.00 + 0.00 + 710123.00 + -1871205.00 + -3218585.00 + 2000000.00 + 2000000.00 + 0.00 + 0.00 + -3,871,205.00 + -5,218,585.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + + + + properties: XBRL_YR1_CURR: type: string @@ -655,7 +839,7 @@ components: XBRL_YR3_CURR XBRL_YR4_CURR XBRL_YR5_CURR - example: + example: "(SGD)" REVENUE1 : type: string description: |+ @@ -665,7 +849,7 @@ components: REVENUE3 REVENUE4 REVENUE5 - example: + example: "10877254.00" PL_BEF_TAX1 : type: string description: |+ @@ -675,7 +859,7 @@ components: PL_BEF_TAX3 PL_BEF_TAX4 PL_BEF_TAX5 - example: + example: "1121483.00" PL_AFT_TAX1 : type: string description: |+ @@ -685,7 +869,7 @@ components: PL_AFT_TAX3 PL_AFT_TAX4 PL_AFT_TAX5 - example: + example: "1347380.00" TOT_ASSETS1 : type: string description: |+ @@ -695,7 +879,7 @@ components: TOT_ASSETS3 TOT_ASSETS4 TOT_ASSETS5 - example: + example: "6562990.00" TA_CURRENT1 : type: string description: |+ @@ -705,7 +889,7 @@ components: TA_CURRENT3 TA_CURRENT4 TA_CURRENT5 - example: + example: "6283449.00" TA_NON_CURRENT1 : type: string description: |+ @@ -715,7 +899,7 @@ components: TA_NON_CURRENT3 TA_NON_CURRENT4 TA_NON_CURRENT5 - example: + example: "279541.00" TOT_LIABILITIES1 : type: string description: |+ @@ -725,7 +909,7 @@ components: TOT_LIABILITIES3 TOT_LIABILITIES4 TOT_LIABILITIES5 - example: + example: "8434195.00" TL_CURRENT1 : type: string description: |+ @@ -735,7 +919,7 @@ components: TL_CURRENT3 TL_CURRENT4 TL_CURRENT5 - example: + example: "8434195.00" TL_NON_CURRENT1 : type: string description: |+ @@ -745,7 +929,7 @@ components: TL_NON_CURRENT3 TL_NON_CURRENT4 TL_NON_CURRENT5 - example: + example: "0.00" TOT_EQUITY1 : type: string description: |+ @@ -755,7 +939,7 @@ components: TOT_EQUITY3 TOT_EQUITY4 TOT_EQUITY5 - example: + example: "-1871205.00" EQ_SH_CAPITAL1 : type: string description: |+ @@ -765,7 +949,7 @@ components: EQ_SH_CAPITAL3 EQ_SH_CAPITAL4 EQ_SH_CAPITAL5 - example: + example: "2000000.00" EQ_RESERVES1 : type: string description: |+ @@ -775,7 +959,7 @@ components: EQ_RESERVES3 EQ_RESERVES4 EQ_RESERVES5 - example: + example: "0.00" EQ_RETAINED_EARN1 : type: string description: |+ @@ -785,7 +969,7 @@ components: EQ_RETAINED_EARN3 EQ_RETAINED_EARN4 EQ_RETAINED_EARN5 - example: + example: "-3,871,205.00" GRP_REVENUE1 : type: string description: |+ @@ -795,7 +979,7 @@ components: GRP_REVENUE3 GRP_REVENUE4 GRP_REVENUE5 - example: + example: "0.00" GRP_PL_BEF_TAX1 : type: string description: |+ @@ -805,7 +989,7 @@ components: GRP_PL_BEF_TAX3 GRP_PL_BEF_TAX4 GRP_PL_BEF_TAX5 - example: + example: "0.00" GRP_PL_AFT_TAX1 : type: string description: |+ @@ -815,7 +999,7 @@ components: GRP_PL_AFT_TAX3 GRP_PL_AFT_TAX4 GRP_PL_AFT_TAX5 - example: + example: "0.00" GRP_TOT_ASSETS1 : type: string description: |+ @@ -825,7 +1009,7 @@ components: GRP_TOT_ASSETS3 GRP_TOT_ASSETS4 GRP_TOT_ASSETS5 - example: + example: "0.00" GRP_TA_CURRENT1 : type: string description: |+ @@ -835,7 +1019,7 @@ components: GRP_TA_CURRENT3 GRP_TA_CURRENT4 GRP_TA_CURRENT4 - example: + example: "0.00" GRP_TA_NON_CURRENT1 : type: string description: |+ @@ -845,7 +1029,7 @@ components: GRP_TA_NON_CURRENT3 GRP_TA_NON_CURRENT4 GRP_TA_NON_CURRENT4 - example: + example: "0.00" GRP_TOT_LIABILITIES1 : type: string description: |+ @@ -855,7 +1039,7 @@ components: GRP_TOT_LIABILITIES3 GRP_TOT_LIABILITIES4 GRP_TOT_LIABILITIES5 - example: + example: "0.00" GRP_TL_CURRENT1 : type: string description: |+ @@ -865,7 +1049,7 @@ components: GRP_TL_CURRENT3 GRP_TL_CURRENT4 GRP_TL_CURRENT5 - example: + example: "0.00" GRP_TL_NON_CURRENT1 : type: string description: |+ @@ -875,7 +1059,7 @@ components: GRP_TL_NON_CURRENT3 GRP_TL_NON_CURRENT4 GRP_TL_NON_CURRENT5 - example: + example: "0.00" GRP_TOT_EQUITY1 : type: string description: |+ @@ -885,7 +1069,7 @@ components: GRP_TOT_EQUITY3 GRP_TOT_EQUITY4 GRP_TOT_EQUITY5 - example: + example: "0.00" GRP_SH_CAPITAL1 : type: string description: |+ @@ -895,7 +1079,7 @@ components: GRP_SH_CAPITAL3 GRP_SH_CAPITAL4 GRP_SH_CAPITAL5 - example: + example: "0.00" GRP_RESERVES1 : type: string description: |+ @@ -905,7 +1089,7 @@ components: GRP_RESERVES3 GRP_RESERVES4 GRP_RESERVES5 - example: + example: "0.00" GRP_RETAINED_EARN1 : type: string description: |+ @@ -915,7 +1099,7 @@ components: GRP_RETAINED_EARN3 GRP_RETAINED_EARN4 GRP_RETAINED_EARN5 - example: + example: "0.00" GRP_INDICATOR1 : type: string description: |+ @@ -925,7 +1109,7 @@ components: GRP_INDICATOR3 GRP_INDICATOR4 GRP_INDICATOR5 - example: + example: "B" FH_RATIOS_DTL: type: object description: |+ From fb251ba238ec74d8626f4341ea4d0ec9418e7dfb Mon Sep 17 00:00:00 2001 From: Mohamed Luqman <57977684+mohamedSent@users.noreply.github.com> Date: Wed, 30 Sep 2020 14:20:44 +0530 Subject: [PATCH 0261/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 62 ++++++++++++++++--- 1 file changed, 53 insertions(+), 9 deletions(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index c2663d803..4d32f6888 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -1123,7 +1123,44 @@ components: TOTAL_DEBT_RATIO1 Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. - example: + example: |+ + + 12.39 + 2.63 + 0.00 + 0.00 + 0.00 + 20.53 + 4.84 + 0.00 + 0.00 + 0.00 + -72.01 + -8.16 + -0.00 + -0.00 + -0.00 + 1.66 + 1.84 + 2.42 + 2.54 + 1.78 + 0.74 + 0.62 + 0.50 + 0.46 + 0.55 + -28.51 + -59.33 + -89.51 + -101.59 + -75.15 + 128.51 + 168.27 + 189.51 + 201.59 + 175.15 + properties: RATE_NET_PROFIT1 : type: string @@ -1134,7 +1171,7 @@ components: RATE_NET_PROFIT3 RATE_NET_PROFIT4 RATE_NET_PROFIT5 - example: + example: "12.39" RET_INVESTMENT1 : type: string description: |+ @@ -1144,7 +1181,7 @@ components: RET_INVESTMENT3 RET_INVESTMENT4 RET_INVESTMENT5 - example: + example: "20.53" RET_SH_FUNDS1 : type: string description: |+ @@ -1154,7 +1191,7 @@ components: RET_SH_FUNDS3 RET_SH_FUNDS4 RET_SH_FUNDS4 - example: + example: "-72.01" TOT_ASSETS_TURNOVER1 : type: string description: |+ @@ -1164,7 +1201,7 @@ components: TOT_ASSETS_TURNOVER3 TOT_ASSETS_TURNOVER4 TOT_ASSETS_TURNOVER5 - example: + example: "1.66" CURR_CAPITAL_RATIO1: type: string description: |+ @@ -1174,7 +1211,7 @@ components: CURR_CAPITAL_RATIO3 CURR_CAPITAL_RATIO4 CURR_CAPITAL_RATIO5 - example: + example: "0.74" PROPRIETARY_RATIO1: type: string description: |+ @@ -1184,7 +1221,7 @@ components: PROPRIETARY_RATIO3 PROPRIETARY_RATIO4 PROPRIETARY_RATIO5 - example: + example: "-28.51" TOTAL_DEBT_RATIO1 : type: string description: |+ @@ -1194,10 +1231,17 @@ components: TOTAL_DEBT_RATIO3 TOTAL_DEBT_RATIO4 TOTAL_DEBT_RATIO5 - example: + example: "128.51" LIST_FH_CHART_INFO : type: array - example: "[FH_CHART_INFO]" + example: |+ + + + 1121483.0 + 10877254 + 2008 + + description: |+ List of chart info with following children: [FH_CHART_INFO] From 8932639d304bd50581b3a0e77899238791df233e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Sep 2020 16:42:06 +0530 Subject: [PATCH 0262/5916] Update page_profiler_eng.yaml --- yaml/page_profiler_eng.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng.yaml b/yaml/page_profiler_eng.yaml index 92acd5cec..77595cabe 100644 --- a/yaml/page_profiler_eng.yaml +++ b/yaml/page_profiler_eng.yaml @@ -6,7 +6,10 @@ From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + x-subscribelink: "page_profiler_eng" version: '1.0' servers: - url: 'https://apis.sentient.io' From 69068d073906c0a0e51f7f347d1504b65251cd35 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Sep 2020 16:49:58 +0530 Subject: [PATCH 0263/5916] Update page_profiler_eng.yaml --- yaml/page_profiler_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng.yaml b/yaml/page_profiler_eng.yaml index 77595cabe..614b83009 100644 --- a/yaml/page_profiler_eng.yaml +++ b/yaml/page_profiler_eng.yaml @@ -9,7 +9,7 @@ The named-entity classes extracted are persons, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - x-subscribelink: "page_profiler_eng" + x-subscribelink: page_profiler_eng version: '1.0' servers: - url: 'https://apis.sentient.io' From 78e871b43586e0ca315b4e7a67b03cdcf3ce743a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Sep 2020 16:54:05 +0530 Subject: [PATCH 0264/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 0cadd52d6..b031d9169 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -7,6 +7,7 @@ From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + x-subscribelink: page_profiler_eng version: '2.0' servers: - url: 'https://apis.sentient.io' From cf7f26d8ff5202a17c0d0fbb155dbb54203e8a6e Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 30 Sep 2020 23:35:29 +1000 Subject: [PATCH 0265/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index a4eb784ce..b8b275da5 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -216,10 +216,14 @@ components: type: string description: Public Accountant Registration No. example: "00091" - ADDRESS1: + PA_REG_NO222: type: string - description: Address 1 - example: "137" + description: Public Accountant Registration No. + example: "00091" + USER_ID : + type: string + example: N/A + description: Valid user id in DDP system. It is for (For internal use) ADDRESS2: type: string description: Address 2 From d4ca190a94c21b83dc6475c13986f185b6197f1a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 30 Sep 2020 23:38:59 +1000 Subject: [PATCH 0266/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index b8b275da5..1b30c6c87 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -195,7 +195,7 @@ components: USER_ID : type: string example: N/A - description: Valid user id in DDP system. It is for (For internal use) + description: Valid user id in DDP system. BASIC_INFO : type: object description: |+ @@ -212,10 +212,6 @@ components: properties: - PA_REG_NO: - type: string - description: Public Accountant Registration No. - example: "00091" PA_REG_NO222: type: string description: Public Accountant Registration No. From 5b6353773d68e57059647e7741ed54b8f0e48ff8 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 30 Sep 2020 23:46:18 +1000 Subject: [PATCH 0267/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 1b30c6c87..216c61798 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -195,7 +195,7 @@ components: USER_ID : type: string example: N/A - description: Valid user id in DDP system. + description: Valid user id in DDP system. It is for (For internal use) BASIC_INFO : type: object description: |+ @@ -212,7 +212,7 @@ components: properties: - PA_REG_NO222: + PA_REG_NO : type: string description: Public Accountant Registration No. example: "00091" @@ -220,7 +220,11 @@ components: type: string example: N/A description: Valid user id in DDP system. It is for (For internal use) - ADDRESS2: + USER_ID2 : + type: string + example: N/A + description: Valid user id in DDP system. It is for (For internal use) + ADDRESS2 : type: string description: Address 2 example: "vvvvv" From 844be55be9b3d487517d6d0400020de44ed7dbf8 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 30 Sep 2020 23:52:57 +1000 Subject: [PATCH 0268/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 216c61798..4e4270846 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -220,6 +220,10 @@ components: type: string example: N/A description: Valid user id in DDP system. It is for (For internal use) + ADDRESS1: + type: string + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" USER_ID2 : type: string example: N/A From d08dc1605390bdf8cb3b2310075df243214ed9ae Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 1 Oct 2020 00:01:26 +1000 Subject: [PATCH 0269/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 4e4270846..6c49f430c 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -220,7 +220,7 @@ components: type: string example: N/A description: Valid user id in DDP system. It is for (For internal use) - ADDRESS1: + ADD_ADDRESS1: type: string description: Address Line 1 example: "1 HARBOURFRONT AVENUE , 18 - 01" From f4ffe3f4fa03066914f4affd91abc2e35f06bdcf Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 1 Oct 2020 10:34:02 +0530 Subject: [PATCH 0270/5916] Update spacy_named-entity_recognition_eng.yaml --- yaml/spacy_named-entity_recognition_eng.yaml | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/yaml/spacy_named-entity_recognition_eng.yaml b/yaml/spacy_named-entity_recognition_eng.yaml index 50fc2fbd1..6af2c86e1 100644 --- a/yaml/spacy_named-entity_recognition_eng.yaml +++ b/yaml/spacy_named-entity_recognition_eng.yaml @@ -2,11 +2,10 @@ openapi: 3.0.1 info: title: spaCy NER description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text. - - The named-entity classes extracted are - person, norp, fac, org, gpe, loc, product, event, work_of_art, law, language, date, time, percent, money, quantity, ordinal, cardinal - + This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. + + The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '0.1' servers: From 9ee4b6e673a939d713145721577b5b501240ba57 Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Thu, 1 Oct 2020 18:36:03 +0800 Subject: [PATCH 0271/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml Add quotation marks for TOT_ITEMS example for testing --- yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index 4d32f6888..e120b8c02 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -1350,7 +1350,7 @@ components: ENQUIRY: type: object example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD + "197601887ETRANSTAR TRAVEL PTE LTD" description: Contains information of each request details default: true properties: From a7152f4cf73d57ce6edf83b58a0db75b6d1025c3 Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Thu, 1 Oct 2020 18:38:35 +0800 Subject: [PATCH 0272/5916] Update BriefFinancialExtractionDun&Bradstreet(SG).yaml Test to replace "<" with < to escape the HTML tag --- yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml index e120b8c02..13310d033 100644 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml @@ -1350,7 +1350,7 @@ components: ENQUIRY: type: object example: |+ - "197601887ETRANSTAR TRAVEL PTE LTD" + <ENQUIRY>197601887ETRANSTAR TRAVEL PTE LTD</ENQUIRY> description: Contains information of each request details default: true properties: From 9d5500649374764c7ee1693710bde0324ded2e62 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 1 Oct 2020 16:31:04 +0530 Subject: [PATCH 0273/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 974 ------------------ 1 file changed, 974 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 6c49f430c..cd330e34f 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -164,38 +164,6 @@ components: [LIST_LIT] [LIST_LIT_DTL] properties: - META_INFO: - type: object - example: |+ - - - - 25/02/2009 17:31:44.678 - - - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - properties: - SERVICE: - type: string - example: "BIS" - description: Report Requested - SYSTEM_ID : - type: string - example: "DDP" - description: System ID - CREATION_DATE: - type: datetime - example: "25/02/2009 17:31:44.678" - description: Report Request Date - USER_ID : - type: string - example: N/A - description: Valid user id in DDP system. It is for (For internal use) BASIC_INFO : type: object description: |+ @@ -236,948 +204,6 @@ components: type: string description: Address 3 example: "470137, SINGAPORE" - LIT_SEARCH_INFO : - type: object - example: |+ - - - - - 25/02/2009 17:31:44 - - - - - description: |+ - Litigation search information with following children: - COMP_NAME - REG_NO - REPORT_TYPE - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK HOLDINGS PTE LTD" - REG_NO: - type: string - description: Company Registration No - example: "197803191K" - REPORT_TYPE: - type: string - description: Report Type - example: "BIS" - REQ_DATE: - type: datetime - description: Requested Date - example: "25/02/2009 17:31:44" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197803191K" - REQ_NAME: - type: string - description: Request Name - example: "LOY KOK TOON" - REQ_DATE_STR: - type: string - description: Request Date String - example: "25/02/2009 15:04:14" - LIST_CURRENT_COMP : - type: array - description: |+ - List of current companies with following children: - [CURRENT_COMP] - example: |+ - - - - - - - - - - - - - - - - - - - items: - properties: - CURRENT_COMP: - type: object - description: |+ - Current companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - PROFIT_VALUE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: |+ - - - - - - - - - - - - - - - - - properties: - POSITION: - type: string - description: Position - example: "OWNER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "01/09/1971" - COMP_NAME: - type: string - description: Company Name - example: "BAN HOE LEONG COMPANY" - SEQ_NO: - type: string - description: Company Registration No. - example: "03647300J" - SHARE_VALUE1: - type: string - description: Share Percentage - example: "15.00" - COMP_STATUS: - type: string - description: Company Status - example: "LIVE" - PROFIT_VALUE1: - type: string - description: Profit Making 1 - example: "2008 = -" - PROFIT_VALUE2: - type: string - description: Profit Making 2 - example: "2007 = -" - PROFIT_VALUE3: - type: string - description: Profit Making 3 - example: "2006 = -" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "150000" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "62992797" - SIC: - type: string - description: SIC Code - example: "5012" - SIC_DESC: - type: string - description: SIC Description - example: "Automobiles and other Motor Vehicles" - LIST_PREVIOUS_COMP: - type: array - example: |+ - - - - - - - - - - - - - - - - - description: |+ - List of previous companies with following children: - [PREVIOUS_COMP] - items: - properties: - PREVIOUS_COMP : - type: object - description: |+ - Previous companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - CESSATION_DATE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: |+ - - - - - - - - - - - - - - - properties: - POSITION : - type: string - description: Position - example: "SHAREHOLDER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "30/06/1988" - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK INDUSTRIES PTE LTD" - SEQ_NO: - type: string - description: Company Registration No. - example: "198101820Z" - SHARE_VALUE1: - type: string - description: Share Value Percentage - example: "100.00" - COMP_STATUS: - type: string - description: Company Status - example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" - CESSATION_DATE : - type: string - description: Cessation Date - example: "22/09/1992" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "390002" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "67467646" - SIC: - type: string - description: SIC Code - example: "2325" - SIC_DESC: - type: string - description: SIC Description - example: "Men’s and Boys’ Separate Trousers and Slacks" - LIST_BANKRUPTCY: - type: array - description: |+ - Bankruptcy/ Winding up with following children: - [BANKRUPTCY] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - items: - properties: - BANKRUPTCY : - type: object - description: |+ - Bankruptcy/Winding up detail with following children: - SUBJECT_NAME - COURT_CODE - CASE_CODE - CASE_YEAR - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - BANKRUPTCY_TYPE - [LIST_PLAINTIFF] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: - COURT_CODE: - type: string - description: Court Code - example: "CWU" - CASE_CODE: - type: string - description: Case Code - example: "381" - CASE_YEAR: - type: string - description: Case Year - example: "2000" - ACTION_DATE: - type: string - description: Action Date - example: "22/12/2000" - BANKRUPTCY_ACT: - type: string - description: Act of Bankruptcy - example: "Petition for Winding Up" - HEARING_DATE : - type: string - description: Hearing Date - example: "26/03/2009" - CURRENCY1: - type: string - description: Currency - example: - AMOUNT1: - type: string - description: Amount - example: "334,616.00" - CURRENCY2: - type: string - description: Currency - example: - AMOUNT2: - type: string - description: Amount - example: "0.00" - CURRENCY3: - type: string - description: Currency - example: - AMOUNT3: - type: string - description: Amount - example: "0.00" - BANKRUPTCY_TYPE: - type: string - description: Bankruptcy Type - example: "COMPANY WINDING UP PETITION" - LIST_PLAINTIFF: - type: array - description: |+ - List of Plaintiff with following children: - [PLAINTIFF] - example: |+ - - - - - - - - - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - example: |+ - - - - - - - properties: - PLA_NAME: - type: string - description: Pla. Name - example: "B 2003 P1" - PLA_SOLICITOR: - type: string - description: Pla. Solicitor - example: "PATRICK KHOO ENG HOCK" - PLA_SOLICITOR_ID: - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "RSP/292668/1" - LIST_LIT: - type: array - description: |+ - List of litigation with following children: - [LIT] - example: |+ - - - - - - - - items: - properties: - LIT: - type: object - description: |+ - Basic litigation info with following children: - SUBJECT_NAME - SEQ_NO - FORMATTED_ID - [LIST_LIT_DTL] - example: |+ - - - - - - properties: - SUBJECT_NAME: - type: string - description: Name - example: "ENG YICK HOLDINGS PTE LTD" - SEQ_NO: - type: integer - description: Sequence No. - example: 1 - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - LIST_LIT_DTL: - type: array - description: |+ - List of litigation detail with following children: - [LIT_DTL] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - - items: - properties: - LIT_DTL: - type: object - description: |+ - Litigation detail with following children: - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - FORMATTED_ID - DOC_REMARKS - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - CASE_STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - [LIST_PLAINTIFF] - [LIST_DEFENDANT] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - properties: - NATURE_OF_CLAIM: - type: string - description: Nature of Claim - example: "CONTRACTS-WORK DONE & SERVICES RENDERED" - STATUS_DATE: - type: string - description: Status Date - example: "13/08/2001" - CASE_NO: - type: string - description: Case No. - example: "MC 23631 / 2001" - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - DOC_REMARKS: - type: string - description: Document Remark - example: "WRIT OF SUMMONS" - CURRENCY1: - type: string - description: Currency 1 - example: "SIN" - CURRENCY2: - type: string - description: Currency 2 - example: - CURRENCY3: - type: string - description: Currency 3 - example: - CURRENCY4: - type: string - description: Currency 4 - example: - CURRENCY5: - type: string - description: Currency 5 - example: - CASE_STATUS: - type: string - description: Status - example: "PENDING AS AT STATUS DATE" - AMOUNT1: - type: string - description: Amount 1 - example: "36,196.00" - AMOUNT2: - type: string - description: Amount 2 - example: "0.00" - AMOUNT3: - type: string - description: Amount 3 - example: "0.00" - AMOUNT4: - type: string - description: Amount 4 - example: "0.00" - AMOUNT5: - type: string - description: Amount 5 - example: "0.00" - LIST_PLAINTIFF: - type: array - description: |+ - List of plaintiff with following children: - [PLAINTIFF] - example: |+ - - - - - - - - - - - - - S7250163B - - - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - LAW_FIRM - WRITE_DATE - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_STATUS - PLA_STATUS_DATE - PLA_ID - example: |+ - - - - - - - - - - - - S7250163B - - properties: - PLA_NAME: - type: string - description: Plaintiff Name - example: "ROTARY PILING PTE LTD" - LAW_FIRM: - type: string - description: Pla. Law Firm - example: "JOSEPH HOO MORRIS & KUMAR" - WRITE_DATE: - type: string - description: Writ date - example: "13/08/2001" - PLA_SOLICITOR: - type: string - description: Plaintiff Solicitor - example: "HOO JOSEPH" - PLA_SOLICITOR_ID: - type: string - description: Plaintiff Solicitor ID - example: "ORS" - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "CHH 6253 D27" - PLA_STATUS: - type: string - description: Plaintiff Status - example: - PLA_STATUS_DATE: - type: string - description: Plaintiff Status Date - example: - PLA_ID: - type: string - description: Plaintiff ID - example: "S7250163B" - LIST_DEFENDANT: - type: array - description: |+ - List of defendant with following children: - [DEFENDANT] - example: |+ - - - - - - - - - items: - properties: - DEFENDANT: - type: object - description: |+ - Defendant detail with following children: - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - example: |+ - - - - - - - properties: - DEF_SOLICITOR: - type: string - description: Def. Solicitor - example: - DEF_SOLICITOR_ID: - type: string - description: Def. Solicitor ID - example: N/A - DEF_LAW_FIRM: - type: string - description: Def. Law Firm - example: - DEF_FILE_REF: - type: string - description: Def. File Ref. - example: - LIST_Ddrptcount: - type: array - description: |+ - List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: - [Ddrptcount] - example: |+ - - - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 2017 - 1 - - - items: - properties: - Ddrptcount: - type: object - description: |+ - 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcyear - Rcsecflag - example: |+ - - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 2017 - 1 - - properties: - Rcjan: - type: integer - description: Count for January - example: "1" - Rcfeb: - type: integer - description: Count for February - example: "1" - Rcmar: - type: integer - description: Count for March - example: "1" - Rcapr: - type: integer - description: Count for April - example: "1" - Rcmay: - type: integer - description: Count for May - example: "1" - Rcjun: - type: integer - description: Count for June - example: "1" - Rcjul: - type: integer - description: Count for July - example: "1" - Rcaug: - type: integer - description: Count for August - example: "1" - Rcsep: - type: integer - description: Count for September - example: "1" - Rcoct: - type: integer - description: Count for October - example: "1" - Rcnov: - type: integer - description: Count for November - example: "1" - Rcdec: - type: integer - description: Count for December - example: "1" - Rcyear: - type: integer - description: To show the year - example: "1" - Rcsecflag: - type: integer - description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors - example: "1" unauthorized: type: object properties: From 4a19eb618a55622b1ff2c5c4ea584ad643bd1ad9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 1 Oct 2020 16:36:37 +0530 Subject: [PATCH 0274/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 69 +------------------ 1 file changed, 1 insertion(+), 68 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index cd330e34f..b2f63d247 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -27,74 +27,7 @@ paths: application/xml: schema: $ref: '#/components/schemas/success' - example: |+ - - 25/02/2009 17:31:44.678 - - - - - - 25/02/2009 17:31:44 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - S7250163B - - - - - S7250163B - - - - - - 1 1 1 1 1 1 1 1 1 1 1 1 2017 1 - - 0 0 0 0 0 0 0 0 0 0 0 0 2016 1 - - 0 0 0 0 0 0 0 0 0 0 0 0 2015 1 - - 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 - - 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 - - 0 0 0 0 0 0 0 0 0 0 0 - 0 2015 0 - - + example: '401': description: Unauthorized content: From d6aa94a12899458985069302c98237e87f789060 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 1 Oct 2020 16:38:14 +0530 Subject: [PATCH 0275/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index b2f63d247..133e44444 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -105,13 +105,7 @@ components: ADDRESS1 ADDRESS2 ADDRESS3 - example: |+ - - - - - - + example: properties: PA_REG_NO : type: string From 0370017c28630a5d5a9a7fb33f14a8bf6cdd1d10 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 15:02:31 +1000 Subject: [PATCH 0276/5916] Update online_automatic_speech_recognition_eng_sg.yaml --- yaml/online_automatic_speech_recognition_eng_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/online_automatic_speech_recognition_eng_sg.yaml b/yaml/online_automatic_speech_recognition_eng_sg.yaml index cacf491eb..8511c1319 100644 --- a/yaml/online_automatic_speech_recognition_eng_sg.yaml +++ b/yaml/online_automatic_speech_recognition_eng_sg.yaml @@ -12,6 +12,6 @@ tags: description: " " html: |+
-
From 44d273cc3337c2edff03f3417fb752a7be0b3042 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 2 Oct 2020 12:29:33 +0530 Subject: [PATCH 0277/5916] Update BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 1051 ++++++++++++++++- 1 file changed, 1049 insertions(+), 2 deletions(-) diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml index 133e44444..6c49f430c 100644 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml @@ -27,7 +27,74 @@ paths: application/xml: schema: $ref: '#/components/schemas/success' - example: + example: |+ + + 25/02/2009 17:31:44.678 + + + + + + 25/02/2009 17:31:44 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - S7250163B + + + - - S7250163B + + + + + + 1 1 1 1 1 1 1 1 1 1 1 1 2017 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2016 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2015 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 + + 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 + + 0 0 0 0 0 0 0 0 0 0 0 + 0 2015 0 + + '401': description: Unauthorized content: @@ -97,6 +164,38 @@ components: [LIST_LIT] [LIST_LIT_DTL] properties: + META_INFO: + type: object + example: |+ + + + + 25/02/2009 17:31:44.678 + + + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + properties: + SERVICE: + type: string + example: "BIS" + description: Report Requested + SYSTEM_ID : + type: string + example: "DDP" + description: System ID + CREATION_DATE: + type: datetime + example: "25/02/2009 17:31:44.678" + description: Report Request Date + USER_ID : + type: string + example: N/A + description: Valid user id in DDP system. It is for (For internal use) BASIC_INFO : type: object description: |+ @@ -105,7 +204,13 @@ components: ADDRESS1 ADDRESS2 ADDRESS3 - example: + example: |+ + + + + + + properties: PA_REG_NO : type: string @@ -131,6 +236,948 @@ components: type: string description: Address 3 example: "470137, SINGAPORE" + LIT_SEARCH_INFO : + type: object + example: |+ + + + + + 25/02/2009 17:31:44 + + + + + description: |+ + Litigation search information with following children: + COMP_NAME + REG_NO + REPORT_TYPE + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK HOLDINGS PTE LTD" + REG_NO: + type: string + description: Company Registration No + example: "197803191K" + REPORT_TYPE: + type: string + description: Report Type + example: "BIS" + REQ_DATE: + type: datetime + description: Requested Date + example: "25/02/2009 17:31:44" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197803191K" + REQ_NAME: + type: string + description: Request Name + example: "LOY KOK TOON" + REQ_DATE_STR: + type: string + description: Request Date String + example: "25/02/2009 15:04:14" + LIST_CURRENT_COMP : + type: array + description: |+ + List of current companies with following children: + [CURRENT_COMP] + example: |+ + + + + + + + + + + + + + + + + + + + items: + properties: + CURRENT_COMP: + type: object + description: |+ + Current companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + PROFIT_VALUE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: |+ + + + + + + + + + + + + + + + + + properties: + POSITION: + type: string + description: Position + example: "OWNER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "01/09/1971" + COMP_NAME: + type: string + description: Company Name + example: "BAN HOE LEONG COMPANY" + SEQ_NO: + type: string + description: Company Registration No. + example: "03647300J" + SHARE_VALUE1: + type: string + description: Share Percentage + example: "15.00" + COMP_STATUS: + type: string + description: Company Status + example: "LIVE" + PROFIT_VALUE1: + type: string + description: Profit Making 1 + example: "2008 = -" + PROFIT_VALUE2: + type: string + description: Profit Making 2 + example: "2007 = -" + PROFIT_VALUE3: + type: string + description: Profit Making 3 + example: "2006 = -" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "150000" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "62992797" + SIC: + type: string + description: SIC Code + example: "5012" + SIC_DESC: + type: string + description: SIC Description + example: "Automobiles and other Motor Vehicles" + LIST_PREVIOUS_COMP: + type: array + example: |+ + + + + + + + + + + + + + + + + + description: |+ + List of previous companies with following children: + [PREVIOUS_COMP] + items: + properties: + PREVIOUS_COMP : + type: object + description: |+ + Previous companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + CESSATION_DATE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: |+ + + + + + + + + + + + + + + + properties: + POSITION : + type: string + description: Position + example: "SHAREHOLDER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "30/06/1988" + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK INDUSTRIES PTE LTD" + SEQ_NO: + type: string + description: Company Registration No. + example: "198101820Z" + SHARE_VALUE1: + type: string + description: Share Value Percentage + example: "100.00" + COMP_STATUS: + type: string + description: Company Status + example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" + CESSATION_DATE : + type: string + description: Cessation Date + example: "22/09/1992" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "390002" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "67467646" + SIC: + type: string + description: SIC Code + example: "2325" + SIC_DESC: + type: string + description: SIC Description + example: "Men’s and Boys’ Separate Trousers and Slacks" + LIST_BANKRUPTCY: + type: array + description: |+ + Bankruptcy/ Winding up with following children: + [BANKRUPTCY] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + items: + properties: + BANKRUPTCY : + type: object + description: |+ + Bankruptcy/Winding up detail with following children: + SUBJECT_NAME + COURT_CODE + CASE_CODE + CASE_YEAR + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + BANKRUPTCY_TYPE + [LIST_PLAINTIFF] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + properties: + SUBJECT_NAME : + type: string + description: Subject Name + example: + COURT_CODE: + type: string + description: Court Code + example: "CWU" + CASE_CODE: + type: string + description: Case Code + example: "381" + CASE_YEAR: + type: string + description: Case Year + example: "2000" + ACTION_DATE: + type: string + description: Action Date + example: "22/12/2000" + BANKRUPTCY_ACT: + type: string + description: Act of Bankruptcy + example: "Petition for Winding Up" + HEARING_DATE : + type: string + description: Hearing Date + example: "26/03/2009" + CURRENCY1: + type: string + description: Currency + example: + AMOUNT1: + type: string + description: Amount + example: "334,616.00" + CURRENCY2: + type: string + description: Currency + example: + AMOUNT2: + type: string + description: Amount + example: "0.00" + CURRENCY3: + type: string + description: Currency + example: + AMOUNT3: + type: string + description: Amount + example: "0.00" + BANKRUPTCY_TYPE: + type: string + description: Bankruptcy Type + example: "COMPANY WINDING UP PETITION" + LIST_PLAINTIFF: + type: array + description: |+ + List of Plaintiff with following children: + [PLAINTIFF] + example: |+ + + + + + + + + + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + example: |+ + + + + + + + properties: + PLA_NAME: + type: string + description: Pla. Name + example: "B 2003 P1" + PLA_SOLICITOR: + type: string + description: Pla. Solicitor + example: "PATRICK KHOO ENG HOCK" + PLA_SOLICITOR_ID: + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "RSP/292668/1" + LIST_LIT: + type: array + description: |+ + List of litigation with following children: + [LIT] + example: |+ + + + + + + + + items: + properties: + LIT: + type: object + description: |+ + Basic litigation info with following children: + SUBJECT_NAME + SEQ_NO + FORMATTED_ID + [LIST_LIT_DTL] + example: |+ + + + + + + properties: + SUBJECT_NAME: + type: string + description: Name + example: "ENG YICK HOLDINGS PTE LTD" + SEQ_NO: + type: integer + description: Sequence No. + example: 1 + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + LIST_LIT_DTL: + type: array + description: |+ + List of litigation detail with following children: + [LIT_DTL] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + S7250163B + + + + + + + + + - + - + S7250163B + + + + + + + + + + + + + items: + properties: + LIT_DTL: + type: object + description: |+ + Litigation detail with following children: + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + FORMATTED_ID + DOC_REMARKS + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + CASE_STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + [LIST_PLAINTIFF] + [LIST_DEFENDANT] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + S7250163B + + + + + + + + + - + - + S7250163B + + + + + + + + + + + + properties: + NATURE_OF_CLAIM: + type: string + description: Nature of Claim + example: "CONTRACTS-WORK DONE & SERVICES RENDERED" + STATUS_DATE: + type: string + description: Status Date + example: "13/08/2001" + CASE_NO: + type: string + description: Case No. + example: "MC 23631 / 2001" + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + DOC_REMARKS: + type: string + description: Document Remark + example: "WRIT OF SUMMONS" + CURRENCY1: + type: string + description: Currency 1 + example: "SIN" + CURRENCY2: + type: string + description: Currency 2 + example: + CURRENCY3: + type: string + description: Currency 3 + example: + CURRENCY4: + type: string + description: Currency 4 + example: + CURRENCY5: + type: string + description: Currency 5 + example: + CASE_STATUS: + type: string + description: Status + example: "PENDING AS AT STATUS DATE" + AMOUNT1: + type: string + description: Amount 1 + example: "36,196.00" + AMOUNT2: + type: string + description: Amount 2 + example: "0.00" + AMOUNT3: + type: string + description: Amount 3 + example: "0.00" + AMOUNT4: + type: string + description: Amount 4 + example: "0.00" + AMOUNT5: + type: string + description: Amount 5 + example: "0.00" + LIST_PLAINTIFF: + type: array + description: |+ + List of plaintiff with following children: + [PLAINTIFF] + example: |+ + + + + + + + + + - + - + S7250163B + + + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + LAW_FIRM + WRITE_DATE + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_STATUS + PLA_STATUS_DATE + PLA_ID + example: |+ + + + + + + + + - + - + S7250163B + + properties: + PLA_NAME: + type: string + description: Plaintiff Name + example: "ROTARY PILING PTE LTD" + LAW_FIRM: + type: string + description: Pla. Law Firm + example: "JOSEPH HOO MORRIS & KUMAR" + WRITE_DATE: + type: string + description: Writ date + example: "13/08/2001" + PLA_SOLICITOR: + type: string + description: Plaintiff Solicitor + example: "HOO JOSEPH" + PLA_SOLICITOR_ID: + type: string + description: Plaintiff Solicitor ID + example: "ORS" + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "CHH 6253 D27" + PLA_STATUS: + type: string + description: Plaintiff Status + example: + PLA_STATUS_DATE: + type: string + description: Plaintiff Status Date + example: + PLA_ID: + type: string + description: Plaintiff ID + example: "S7250163B" + LIST_DEFENDANT: + type: array + description: |+ + List of defendant with following children: + [DEFENDANT] + example: |+ + + + + + + + + + items: + properties: + DEFENDANT: + type: object + description: |+ + Defendant detail with following children: + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + example: |+ + + + + + + + properties: + DEF_SOLICITOR: + type: string + description: Def. Solicitor + example: + DEF_SOLICITOR_ID: + type: string + description: Def. Solicitor ID + example: N/A + DEF_LAW_FIRM: + type: string + description: Def. Law Firm + example: + DEF_FILE_REF: + type: string + description: Def. File Ref. + example: + LIST_Ddrptcount: + type: array + description: |+ + List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: + [Ddrptcount] + example: |+ + + + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 2017 + 1 + + + items: + properties: + Ddrptcount: + type: object + description: |+ + 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcyear + Rcsecflag + example: |+ + + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 2017 + 1 + + properties: + Rcjan: + type: integer + description: Count for January + example: "1" + Rcfeb: + type: integer + description: Count for February + example: "1" + Rcmar: + type: integer + description: Count for March + example: "1" + Rcapr: + type: integer + description: Count for April + example: "1" + Rcmay: + type: integer + description: Count for May + example: "1" + Rcjun: + type: integer + description: Count for June + example: "1" + Rcjul: + type: integer + description: Count for July + example: "1" + Rcaug: + type: integer + description: Count for August + example: "1" + Rcsep: + type: integer + description: Count for September + example: "1" + Rcoct: + type: integer + description: Count for October + example: "1" + Rcnov: + type: integer + description: Count for November + example: "1" + Rcdec: + type: integer + description: Count for December + example: "1" + Rcyear: + type: integer + description: To show the year + example: "1" + Rcsecflag: + type: integer + description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors + example: "1" unauthorized: type: object properties: From 3a49f2546124f60800a4a052cac44dc77b6a8ac9 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 17:56:53 +1000 Subject: [PATCH 0278/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index e109f5a37..834a61782 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Named-Entity Recognition ENG Updated + title: Named-Entity Recognition ENG description: |+ This NLP microservice locates and classifies the named-entities classes from input unstructured English text. From 5301e8a430479d0d5ecd79d2852de52377f56f0c Mon Sep 17 00:00:00 2001 From: Priyadharshini Date: Fri, 2 Oct 2020 15:15:29 +0530 Subject: [PATCH 0279/5916] latest yaml files from master branch --- yaml/amenities_hardcourts_hdb_sg.yaml | 1 + yaml/amenities_lamp_posts_hdb_sg.yaml | 1 + yaml/amenities_shelters_hdb_sg.yaml | 1 + yaml/asr_with_vad_eng_sg.yaml | 5 +++-- yaml/audio_format_convertor.yaml | 1 + yaml/automatic_speech_recognition_chi_sg.yaml | 9 +++++++++ yaml/automatic_speech_recognition_eng_sg.yaml | 9 ++++++--- yaml/building_addresses_hdb_sg.yaml | 1 + yaml/carpark_hdb_sg.yaml | 5 +++-- yaml/commercial_directories_hdb_sg.yaml | 1 + yaml/csv-json_convertor.yaml | 1 + yaml/decryption_using_pki_key.yaml | 1 + yaml/demographics_hdb_sg.yaml | 1 + yaml/directory_of_singapore_startups.yaml | 1 + yaml/document_convertor_eng.yaml | 1 + yaml/encryption_using_pki_key.yaml | 1 + yaml/face_recognition_politicians_sg.yaml | 1 + yaml/fitness_stations_and_playgrounds_hdb_sg.yaml | 1 + yaml/flat_ownership_hdb_sg.yaml | 1 + yaml/inverse_text_normalisation_eng.yaml | 1 + yaml/json-csv_convertor.yaml | 1 + yaml/landmark_detection_jp.yaml | 1 + yaml/landmark_detection_sg.yaml | 1 + yaml/named-entity_recognition_eng.yaml | 1 + yaml/named-entity_recognition_eng_v1.0.yaml | 1 + ...gnition_jap.yaml => named-entity_recognition_jp.yaml} | 3 ++- ...p_v1.0.yaml => named-entity_recognition_jp_v1.0.yaml} | 3 ++- yaml/named-entity_recognition_thai.yaml | 1 + yaml/named-entity_recognition_thai_v1.0.yaml | 3 ++- yaml/newspaper_article_scraper.yaml | 1 + yaml/object_detection.yaml | 1 + yaml/page_profiler_eng.yaml | 8 +++----- yaml/page_profiler_eng_v2.0.yaml | 4 ++-- yaml/page_profiler_jp.yaml | 5 +++-- yaml/page_profiler_thai.yaml | 4 ++-- yaml/pdf_extractor.yaml | 1 + yaml/people_counting.yaml | 1 + yaml/pki_key_generator.yaml | 1 + yaml/residential_sales_and_rental_hdb_sg.yaml | 1 + yaml/script_alignment.yaml | 1 + yaml/season_parking_availability_hdb_sg.yaml | 1 + yaml/spacy_named-entity_recognition_eng.yaml | 7 ++++--- yaml/taxonomy_matcher_eng.yaml | 1 + yaml/text-to-speech_chi.yaml | 1 + yaml/text-to-speech_eng.yaml | 1 + yaml/urls_retrieval.yaml | 1 + yaml/video-to-audio_convertor.yaml | 1 + yaml/video-to-image_convertor.yaml | 1 + yaml/voice_activity_detection_eng.yaml | 1 + yaml/web_scraper.yaml | 1 + yaml/wikipedia_retrieval_eng.yaml | 1 + yaml/word_sense_disambiguation_eng.yaml | 1 + yaml/youtube_video_downloader.yaml | 1 + 53 files changed, 82 insertions(+), 24 deletions(-) rename yaml/{named-entity_recognition_jap.yaml => named-entity_recognition_jp.yaml} (98%) rename yaml/{named-entity_recognition_jap_v1.0.yaml => named-entity_recognition_jp_v1.0.yaml} (99%) diff --git a/yaml/amenities_hardcourts_hdb_sg.yaml b/yaml/amenities_hardcourts_hdb_sg.yaml index fc748c982..48324a035 100644 --- a/yaml/amenities_hardcourts_hdb_sg.yaml +++ b/yaml/amenities_hardcourts_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Hardcourts Locations (SG) + x-subscribelink: amenities_hardcourts_hdb_sg description: |+ This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. diff --git a/yaml/amenities_lamp_posts_hdb_sg.yaml b/yaml/amenities_lamp_posts_hdb_sg.yaml index 777970c09..5c2a09439 100644 --- a/yaml/amenities_lamp_posts_hdb_sg.yaml +++ b/yaml/amenities_lamp_posts_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Lamp Posts Locations (SG) + x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. diff --git a/yaml/amenities_shelters_hdb_sg.yaml b/yaml/amenities_shelters_hdb_sg.yaml index 4ebea897a..fad46f2fe 100644 --- a/yaml/amenities_shelters_hdb_sg.yaml +++ b/yaml/amenities_shelters_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Shelters Locations (SG) + x-subscribelink: amenities_shelters_hdb_sg description: |+ This Data microservice returns the indicative outline of shelters for all HDB Towns and Estates and only on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from SLA (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. Precinct Pavilions are not included in this microservice. As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. diff --git a/yaml/asr_with_vad_eng_sg.yaml b/yaml/asr_with_vad_eng_sg.yaml index 77ace0fef..737dbc58e 100644 --- a/yaml/asr_with_vad_eng_sg.yaml +++ b/yaml/asr_with_vad_eng_sg.yaml @@ -6,6 +6,7 @@ info: This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k version: '0.1' + x-subscribelink: asr_with_vad_eng_sg servers: - url: 'https://apis.sentient.io' tags: @@ -204,7 +205,7 @@ components: file_type: x-name: file_type type: string - default: false + default: true example: wav description: |+ Input file extension. Only “wav” is supported at the moment. @@ -212,7 +213,7 @@ components: x-name: vad_threshold type: number format: float - default: false + default: true example: 0.4 description: |+ 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. diff --git a/yaml/audio_format_convertor.yaml b/yaml/audio_format_convertor.yaml index 4ac5633bf..c35493f54 100644 --- a/yaml/audio_format_convertor.yaml +++ b/yaml/audio_format_convertor.yaml @@ -4,6 +4,7 @@ info: description: >- This API is used to convert your audio like music(any format) to the WAV format. version: '0.1' + x-subscribelink: audio_format_convertor servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/automatic_speech_recognition_chi_sg.yaml b/yaml/automatic_speech_recognition_chi_sg.yaml index 00cf3e134..41cbac215 100644 --- a/yaml/automatic_speech_recognition_chi_sg.yaml +++ b/yaml/automatic_speech_recognition_chi_sg.yaml @@ -6,6 +6,7 @@ info: This microservice works best for if the audio file consists of mostly speech with no long pauses in between. version: '0.1' + x-subscribelink: automatic_speech_recognition_chi_sg servers: - url: 'https://apis.sentient.io' tags: @@ -180,6 +181,14 @@ components: description: |+ Input file in base64 format and needs to be prefixed by the data type and encoding data:audio/wav;base64, + language: + x-name: language + type: string + default: true + example: 1 + description: |+ + Language setting: + 1 Mandarin versions: type: object properties: diff --git a/yaml/automatic_speech_recognition_eng_sg.yaml b/yaml/automatic_speech_recognition_eng_sg.yaml index efa8277ee..e9640dfc8 100644 --- a/yaml/automatic_speech_recognition_eng_sg.yaml +++ b/yaml/automatic_speech_recognition_eng_sg.yaml @@ -6,6 +6,7 @@ info: This microservice performs well on Singaporean-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament and nscfull_8k. version: '0.1' + x-subscribelink: automatic_speech_recognition_eng_sg servers: - url: 'https://apis.sentient.io' tags: @@ -201,9 +202,11 @@ components: default: true example: nsc_parliament description: |+ - Model name: - 1. news_parliament. 16 kHz, mono channel. wav format. “news_parliament” is trained on Singapore news and parliament corpus. - 2. nsc_parliament. 16 kHz, mono channel. wav format. “nsc_parliament” is trained on National Speech Corpus and parliament corpus. + Model selection. For best performance, select the model which best matches the use-case: + + 1. news_parliament - 16 kHz, mono channel, .wav format. Trained on Singapore news and parliament corpus. + 2. nsc_parliament - 16 kHz, mono channel, .wav format. Trained on National Speech Corpus and parliament corpus. + 3. nscfull_8k - 8 kHz, mono channel, .wav format. Trained on National Speech Corpus. Trained on Full National Speech Corpus corpus. wav_base64: x-name: wav_base64 type: string diff --git a/yaml/building_addresses_hdb_sg.yaml b/yaml/building_addresses_hdb_sg.yaml index a78cd8895..04aa2400e 100644 --- a/yaml/building_addresses_hdb_sg.yaml +++ b/yaml/building_addresses_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Block Coordinates (SG) + x-subscribelink: building_addresses_hdb_sg description: |+ This Data microservice retrieves information on the Singapore Housing Development Board building blocks in Singapore that includes addresses, postal code, latitude and longitude coordinates. Updated monthly diff --git a/yaml/carpark_hdb_sg.yaml b/yaml/carpark_hdb_sg.yaml index d51736462..f117fc2f3 100644 --- a/yaml/carpark_hdb_sg.yaml +++ b/yaml/carpark_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Carpark Locations (SG) + x-subscribelink: carpark_hdb_sg description: |+ This Data microservice retrieves the Singapore Housing Development Board's carpark information within Singapore HDB estates that includes location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly. @@ -185,8 +186,8 @@ paths: _source: cpk_no: BE37 block: BLK 282 - street: BE37 BISHAN STREET 22 - address: BLK 282 BE37 BISHAN STREET 22 + street: BISHAN STREET 22 + address: BLK 282 BISHAN STREET 22 source: hdb xcoord: '29235.553' ycoord: '37787.1371' diff --git a/yaml/commercial_directories_hdb_sg.yaml b/yaml/commercial_directories_hdb_sg.yaml index c84ba0ba1..c0565dcfc 100644 --- a/yaml/commercial_directories_hdb_sg.yaml +++ b/yaml/commercial_directories_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Commercial Directories (SG) + x-subscribelink: commercial_directories_hdb_sg description: |+ This Data microservice retrieves the list of all retail shops in Singapore which allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates type of business. The resultant dataset offers useful information like the shop operating hours and contact number. Updated weekly. diff --git a/yaml/csv-json_convertor.yaml b/yaml/csv-json_convertor.yaml index a70e643ea..62b4eba79 100644 --- a/yaml/csv-json_convertor.yaml +++ b/yaml/csv-json_convertor.yaml @@ -4,6 +4,7 @@ info: description: |+ This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. version: '1.0' + x-subscribelink: csv-json_convertor servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/decryption_using_pki_key.yaml b/yaml/decryption_using_pki_key.yaml index eeba72ee5..707d6f5cd 100644 --- a/yaml/decryption_using_pki_key.yaml +++ b/yaml/decryption_using_pki_key.yaml @@ -6,6 +6,7 @@ info: This can be use with PKI Key Generator. version: '0.1' + x-subscribelink: decryption_using_pki_key servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/demographics_hdb_sg.yaml b/yaml/demographics_hdb_sg.yaml index e87aae00c..b701ec6c3 100644 --- a/yaml/demographics_hdb_sg.yaml +++ b/yaml/demographics_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Demographics (SG) + x-subscribelink: demographics_hdb_sg description: |+ This Data microservice returns information on Housing Development Board of Singapore (HDB) estates that includes location address, postal code, gender and age groups, down to block-level granularity. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. diff --git a/yaml/directory_of_singapore_startups.yaml b/yaml/directory_of_singapore_startups.yaml index 219b63d44..0039eb943 100644 --- a/yaml/directory_of_singapore_startups.yaml +++ b/yaml/directory_of_singapore_startups.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: Directory of Singapore Startups + x-subscribelink: directory_of_singapore_startups description: |+ This Data microservice retrieves the list of all Singapore startup companies found on the internet through web scraping. Updated quarterly. x-additionalinfo: |+ diff --git a/yaml/document_convertor_eng.yaml b/yaml/document_convertor_eng.yaml index a7d1f8b08..6001c2bcc 100644 --- a/yaml/document_convertor_eng.yaml +++ b/yaml/document_convertor_eng.yaml @@ -4,6 +4,7 @@ info: description: |+ This Utility microservice extracts the English text content of singular input Microsoft Word, HTML or PDF documents and outputs into plain text format. version: '1.0' + x-subscribelink: document_convertor_eng servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/encryption_using_pki_key.yaml b/yaml/encryption_using_pki_key.yaml index d6f4b9bc7..b0ca468ad 100644 --- a/yaml/encryption_using_pki_key.yaml +++ b/yaml/encryption_using_pki_key.yaml @@ -6,6 +6,7 @@ info: This can be use with PKI Key Generator. version: '0.1' + x-subscribelink: encryption_using_pki_key servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/face_recognition_politicians_sg.yaml b/yaml/face_recognition_politicians_sg.yaml index 8e4e5998f..85643aec1 100644 --- a/yaml/face_recognition_politicians_sg.yaml +++ b/yaml/face_recognition_politicians_sg.yaml @@ -6,6 +6,7 @@ info: This microservice returns the identity of the person, the bounding box in image coordinates, and the confidence of the prediction. version: '0.1' + x-subscribelink: face_recognition_politicians_sg servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml b/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml index 3d7ca3e8e..5e457fa6c 100644 --- a/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Fitness Stations and Playgrounds (SG) + x-subscribelink: fitness_stations_and_playgrounds_hdb_sg description: |+ This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. diff --git a/yaml/flat_ownership_hdb_sg.yaml b/yaml/flat_ownership_hdb_sg.yaml index c51acf96b..e4843f424 100644 --- a/yaml/flat_ownership_hdb_sg.yaml +++ b/yaml/flat_ownership_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Flat Ownership Duration (SG) + x-subscribelink: flat_ownership_hdb_sg description: |+ This Data microservice returns information on flat ownership within Housing Development Board of Singapore (HDB) estates that includes location address, postal code, length of ownership and their quantity in units. diff --git a/yaml/inverse_text_normalisation_eng.yaml b/yaml/inverse_text_normalisation_eng.yaml index 481567b22..6239e3bcc 100644 --- a/yaml/inverse_text_normalisation_eng.yaml +++ b/yaml/inverse_text_normalisation_eng.yaml @@ -6,6 +6,7 @@ info: It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. version: '0.1' + x-subscribelink: inverse_text_normalisation_eng servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/json-csv_convertor.yaml b/yaml/json-csv_convertor.yaml index 11d65615d..1313b6731 100644 --- a/yaml/json-csv_convertor.yaml +++ b/yaml/json-csv_convertor.yaml @@ -4,6 +4,7 @@ info: description: |+ This Utility microservice converts the input JSON (json string or json file) to CSV format. version: '1.0' + x-subscribelink: json-csv_convertor servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/landmark_detection_jp.yaml b/yaml/landmark_detection_jp.yaml index 2cfeca636..7a6dbcc7b 100644 --- a/yaml/landmark_detection_jp.yaml +++ b/yaml/landmark_detection_jp.yaml @@ -6,6 +6,7 @@ info: The microservice returns the detected landmark and confidence score. version: '0.1' + x-subscribelink: landmark_detection_jp servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/landmark_detection_sg.yaml b/yaml/landmark_detection_sg.yaml index 5b238fd93..f2f844388 100644 --- a/yaml/landmark_detection_sg.yaml +++ b/yaml/landmark_detection_sg.yaml @@ -6,6 +6,7 @@ info: This microservice returns the detected landmark and confidence score. version: '0.1' + x-subscribelink: landmark_detection_sg servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/named-entity_recognition_eng.yaml b/yaml/named-entity_recognition_eng.yaml index 285777746..b0ead574d 100644 --- a/yaml/named-entity_recognition_eng.yaml +++ b/yaml/named-entity_recognition_eng.yaml @@ -8,6 +8,7 @@ info: This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '0.1' + x-subscribelink: named-entity_recognition_eng servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index 834a61782..ac9469650 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -8,6 +8,7 @@ info: This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '1.0' + x-subscribelink: named-entity_recognition_eng servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/named-entity_recognition_jap.yaml b/yaml/named-entity_recognition_jp.yaml similarity index 98% rename from yaml/named-entity_recognition_jap.yaml rename to yaml/named-entity_recognition_jp.yaml index 129c98a1a..1955a651b 100644 --- a/yaml/named-entity_recognition_jap.yaml +++ b/yaml/named-entity_recognition_jp.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Named-Entity Recognition JAP + title: Named-Entity Recognition JP description: |+ This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. @@ -8,6 +8,7 @@ info: This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '0.1' + x-subscribelink: named-entity_recognition_jp servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/named-entity_recognition_jap_v1.0.yaml b/yaml/named-entity_recognition_jp_v1.0.yaml similarity index 99% rename from yaml/named-entity_recognition_jap_v1.0.yaml rename to yaml/named-entity_recognition_jp_v1.0.yaml index 8762caa31..fa12fa81f 100644 --- a/yaml/named-entity_recognition_jap_v1.0.yaml +++ b/yaml/named-entity_recognition_jp_v1.0.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Named-Entity Recognition JAP Updated + title: Named-Entity Recognition JP description: |+ This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. @@ -8,6 +8,7 @@ info: This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '1.0' + x-subscribelink: named-entity_recognition_jp servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/named-entity_recognition_thai.yaml b/yaml/named-entity_recognition_thai.yaml index a520675c1..ff1fc568a 100644 --- a/yaml/named-entity_recognition_thai.yaml +++ b/yaml/named-entity_recognition_thai.yaml @@ -8,6 +8,7 @@ info: This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '0.1' + x-subscribelink: named-entity_recognition_thai servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index 3a4a4acae..a517d65af 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Named-Entity Recognition THAI Updated + title: Named-Entity Recognition THAI description: |+ This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text. @@ -8,6 +8,7 @@ info: This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '1.0' + x-subscribelink: named-entity_recognition_thai servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/newspaper_article_scraper.yaml b/yaml/newspaper_article_scraper.yaml index 058fc1679..5b93a0816 100644 --- a/yaml/newspaper_article_scraper.yaml +++ b/yaml/newspaper_article_scraper.yaml @@ -4,6 +4,7 @@ info: description: |+ This api allows to extracting & curating articles and delivers Instapaper style article extraction. Current supported languages: Arabic, Russian, Dutch, German, English, Spanish, French, Hebrew, Italian, Korean, Norwegian, Persian, Polish, Portuguese, Swedish, Hungarian, Finnish, Danish, Chinese, Indonesian, Vietnamese, Swahili, Turkish, Greek, Ukrainian. Supports automatic languages detection. version: '0.1' + x-subscribelink: newspaper_article_scraper servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/object_detection.yaml b/yaml/object_detection.yaml index caca64189..766987c6c 100644 --- a/yaml/object_detection.yaml +++ b/yaml/object_detection.yaml @@ -8,6 +8,7 @@ info: The classes are: person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hot dog, pizza, donut, cake, chair, sofa, pottedplant, bed, diningtable, toilet, tvmonitor, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair drier, toothbrush version: '0.1' + x-subscribelink: object_detection servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/page_profiler_eng.yaml b/yaml/page_profiler_eng.yaml index 614b83009..c2934f291 100644 --- a/yaml/page_profiler_eng.yaml +++ b/yaml/page_profiler_eng.yaml @@ -6,11 +6,9 @@ From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - The named-entity classes extracted are persons, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - x-subscribelink: page_profiler_eng + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '1.0' + x-subscribelink: page_profiler_eng servers: - url: 'https://apis.sentient.io' tags: @@ -200,7 +198,7 @@ default: true example: https://www.sentient.io/en/ description: |+ - The absolute input url, i.e exact, full address (URL) to the page + The URL of the page to be profile. Kindly note that the URL has to be spelt in full, including "https://www." securitySchemes: APIAuthorizer: diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index b031d9169..2fc13f92b 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -7,7 +7,7 @@ From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - x-subscribelink: page_profiler_eng + x-subscribelink: page_profiler_eng version: '2.0' servers: - url: 'https://apis.sentient.io' @@ -217,7 +217,7 @@ default: true example: https://www.sentient.io/en/ description: |+ - The absolute input url, i.e exact, full address (URL) to the page + The URL of the page to be profile. Kindly note that the URL has to be spelt in full, including "https://www." securitySchemes: APIAuthorizer: diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml index 876e8df39..642262c7d 100644 --- a/yaml/page_profiler_jp.yaml +++ b/yaml/page_profiler_jp.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Page Profiler JAP + title: Page Profiler JP description: |+ This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. @@ -8,6 +8,7 @@ This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '0.1' + x-subscribelink: page_profiler_jp servers: - url: 'https://apis.sentient.io' tags: @@ -232,7 +233,7 @@ default: true example: https://www.bbc.com/japanese description: |+ - The absolute input url, i.e exact, full address (URL) to the page + The URL of the page to be profile. Kindly note that the URL has to be spelt in full, including "https://www." securitySchemes: APIAuthorizer: type: apiKey diff --git a/yaml/page_profiler_thai.yaml b/yaml/page_profiler_thai.yaml index cb0fb7bb6..7203caf44 100644 --- a/yaml/page_profiler_thai.yaml +++ b/yaml/page_profiler_thai.yaml @@ -8,6 +8,7 @@ This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '1.0' + x-subscribelink: page_profiler_thai servers: - url: 'https://apis.sentient.io' tags: @@ -244,8 +245,7 @@ default: true example: https://www.komchadluek.net/ description: |+ - The absolute input url, i.e exact, full address (URL) to the page - + The URL of the page to be profile. Kindly note that the URL has to be spelt in full, including "https://www." securitySchemes: APIAuthorizer: type: apiKey diff --git a/yaml/pdf_extractor.yaml b/yaml/pdf_extractor.yaml index 9f3e582fa..8fac40640 100644 --- a/yaml/pdf_extractor.yaml +++ b/yaml/pdf_extractor.yaml @@ -10,6 +10,7 @@ info: Supported languages: Hindi, German, Spanish, Portuguese, French, Turkish, Italian, Russian, Arabic, Indonesian, Chinese, Japanese and Korean. version: '1.0' + x-subscribelink: pdf_extractor servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/people_counting.yaml b/yaml/people_counting.yaml index 62d2e7380..486b55b30 100644 --- a/yaml/people_counting.yaml +++ b/yaml/people_counting.yaml @@ -6,6 +6,7 @@ info: This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance and the duration and confidence of each person detected. version: '0.1' + x-subscribelink: people_counting servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/pki_key_generator.yaml b/yaml/pki_key_generator.yaml index c80778b49..f2207c0c7 100644 --- a/yaml/pki_key_generator.yaml +++ b/yaml/pki_key_generator.yaml @@ -4,6 +4,7 @@ info: description: |+ This Utiltiy microservice generates Public key and Private key pair, useful for encryption purposes. version: '0.1' + x-subscribelink: pki_key_generator servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/residential_sales_and_rental_hdb_sg.yaml b/yaml/residential_sales_and_rental_hdb_sg.yaml index d5ff2487d..344740535 100644 --- a/yaml/residential_sales_and_rental_hdb_sg.yaml +++ b/yaml/residential_sales_and_rental_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Residential Occupancy Status (SG) + x-subscribelink: residential_sales_and_rental_hdb_sg description: |+ This Data microservice retreives comprehensive details of each HDB block in Singapore including the number of units for each type of flats and whether they were sold or leased. Queries based on keywords and proximity to particular locations can be performed. Updated weekly. diff --git a/yaml/script_alignment.yaml b/yaml/script_alignment.yaml index 5dfa38490..8a372a043 100644 --- a/yaml/script_alignment.yaml +++ b/yaml/script_alignment.yaml @@ -6,6 +6,7 @@ info: The output is the time-coded high-quality script. version: '0.1' + x-subscribelink: script_alignment servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/season_parking_availability_hdb_sg.yaml b/yaml/season_parking_availability_hdb_sg.yaml index 08fa0f339..1a3fc09db 100644 --- a/yaml/season_parking_availability_hdb_sg.yaml +++ b/yaml/season_parking_availability_hdb_sg.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: HDB Season Parking Availability (SG) + x-subscribelink: season_parking_availability_hdb_sg description: |+ This Data microservice returns season car park availability information within Housing Development Board of Singapore (HDB) estates that includes location address, postal code, branch office, vehicle type and parking lot availability for different types of vehicle by carpark location. diff --git a/yaml/spacy_named-entity_recognition_eng.yaml b/yaml/spacy_named-entity_recognition_eng.yaml index 6af2c86e1..6d8bd26f9 100644 --- a/yaml/spacy_named-entity_recognition_eng.yaml +++ b/yaml/spacy_named-entity_recognition_eng.yaml @@ -2,12 +2,13 @@ openapi: 3.0.1 info: title: spaCy NER description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. + This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. - The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. - This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '0.1' + x-subscribelink: spacy_ner servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/taxonomy_matcher_eng.yaml b/yaml/taxonomy_matcher_eng.yaml index 6a2931b91..fb11e1218 100644 --- a/yaml/taxonomy_matcher_eng.yaml +++ b/yaml/taxonomy_matcher_eng.yaml @@ -8,6 +8,7 @@ info: This microservice can help identify the types of concept that are frequently mentioned in an article. version: '0.1' + x-subscribelink: taxonomy_matcher_eng servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/text-to-speech_chi.yaml b/yaml/text-to-speech_chi.yaml index ce0e901f1..13ff270e0 100644 --- a/yaml/text-to-speech_chi.yaml +++ b/yaml/text-to-speech_chi.yaml @@ -6,6 +6,7 @@ info: The Text-to-Speech AI generated synthesized voice speaks with native Mandarin accent. version: '0.1' + x-subscribelink: text-to-speech_chi servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/text-to-speech_eng.yaml b/yaml/text-to-speech_eng.yaml index 643f94929..cbac86510 100644 --- a/yaml/text-to-speech_eng.yaml +++ b/yaml/text-to-speech_eng.yaml @@ -6,6 +6,7 @@ info: The Text-to-Speech AI generated synthesized voice speaks with Singapore English accent. version: '0.1' + x-subscribelink: text-to-speech_eng servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/urls_retrieval.yaml b/yaml/urls_retrieval.yaml index c82491bd2..cd624ac65 100644 --- a/yaml/urls_retrieval.yaml +++ b/yaml/urls_retrieval.yaml @@ -4,6 +4,7 @@ info: description: |+ This Utility microservice crawls and retrieves their content from the input URLs, up to the specified depth. version: '0.1' + x-subscribelink: urls_retrieval servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/video-to-audio_convertor.yaml b/yaml/video-to-audio_convertor.yaml index 70116a57e..d370865ad 100644 --- a/yaml/video-to-audio_convertor.yaml +++ b/yaml/video-to-audio_convertor.yaml @@ -4,6 +4,7 @@ info: description: |+ This API is used to extract the sound from a video file and save it in an audio file. version: '0.1' + x-subscribelink: video-to-audio_convertor servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/video-to-image_convertor.yaml b/yaml/video-to-image_convertor.yaml index 4a87e7959..18a180761 100644 --- a/yaml/video-to-image_convertor.yaml +++ b/yaml/video-to-image_convertor.yaml @@ -6,6 +6,7 @@ info: Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. version: '0.1' + x-subscribelink: video-to-image_convertor servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/voice_activity_detection_eng.yaml b/yaml/voice_activity_detection_eng.yaml index 8528d9370..75f463579 100644 --- a/yaml/voice_activity_detection_eng.yaml +++ b/yaml/voice_activity_detection_eng.yaml @@ -6,6 +6,7 @@ info: An utterance is the smallest unit of speech. It is a continuous piece of speech beginning and ending with a clear pause. version: '0.1' + x-subscribelink: voice_activity_detection_eng servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/web_scraper.yaml b/yaml/web_scraper.yaml index 8bf412b25..f6ab43322 100644 --- a/yaml/web_scraper.yaml +++ b/yaml/web_scraper.yaml @@ -1,6 +1,7 @@ openapi: 3.0.1 info: title: Web Scraper + x-subscribelink: web_scraper description: |+ This API is used to extract content or specific HTML elements from web pages. Supports both HTML and Text output. The web scraper can be instructed to extract HTML elements that match the criteria given in the queryList HTTP request parameter, it can even do navigate down the html tree like get all p tag inside a div class "class":"class_name p" x-description2: |+ diff --git a/yaml/wikipedia_retrieval_eng.yaml b/yaml/wikipedia_retrieval_eng.yaml index ac6dd5395..3b5b907c2 100644 --- a/yaml/wikipedia_retrieval_eng.yaml +++ b/yaml/wikipedia_retrieval_eng.yaml @@ -4,6 +4,7 @@ info: description: |+ It is an API that provides the user with a Wikipedia article based on the input keyword. Refer to this link for the full list of Wikipedias - https://meta.wikimedia.org/wiki/List_of_Wikipedias version: '0.1' + x-subscribelink: wikipedia_retrieval_eng servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/word_sense_disambiguation_eng.yaml b/yaml/word_sense_disambiguation_eng.yaml index 4ab185d58..f97f55e47 100644 --- a/yaml/word_sense_disambiguation_eng.yaml +++ b/yaml/word_sense_disambiguation_eng.yaml @@ -6,6 +6,7 @@ info: If the word is determined to be a noun within the sentence context, the microservice returns the potential hypernym, definition, and score. Otherwise, no result will be returned for that context. version: '0.1' + x-subscribelink: word_sense_disambiguation_eng servers: - url: 'https://apis.sentient.io' tags: diff --git a/yaml/youtube_video_downloader.yaml b/yaml/youtube_video_downloader.yaml index 17e126f2b..173dceba2 100644 --- a/yaml/youtube_video_downloader.yaml +++ b/yaml/youtube_video_downloader.yaml @@ -4,6 +4,7 @@ info: description: |+ This Utility microservice retrieves the Youtube video of the input URL and output a download link. version: '0.1' + x-subscribelink: youtube_video_downloader servers: - url: 'https://apis.sentient.io' tags: From f3272931bb73d5d956af7c8e9dcbe9c55be11370 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 20:56:18 +1000 Subject: [PATCH 0280/5916] Update index.yaml --- yaml/index.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 4a14a1bca..c017fe261 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -50,8 +50,8 @@ NLP: versions: v2.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng_v2.0.yaml" v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_eng.yaml" - Page Profiler JAP: - title: Page Profiler JAP + Page Profiler JP: + title: Page Profiler JP versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/page_profiler_jp.yaml" Page Profiler THAI: @@ -66,11 +66,11 @@ NLP: title: Word Sense Disambiguation ENG versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/word_sense_disambiguation_eng.yaml" - Named-Entity Recognition JAP: - title: Named-Entity Recognition JAP + Named-Entity Recognition JP: + title: Named-Entity Recognition JP versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_jap_v1.0.yaml" - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_jap.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_jp_v1.0.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/named-entity_recognition_jp.yaml" Named Entity Recognition THAI: title: Named Entity Recognition THAI versions: From ace29d056c091d6e21e4817930f379ad08e2d727 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 21:01:22 +1000 Subject: [PATCH 0281/5916] Remove wrong parameters --- yaml/inverse_text_normalisation_eng.yaml | 21 --------------------- 1 file changed, 21 deletions(-) diff --git a/yaml/inverse_text_normalisation_eng.yaml b/yaml/inverse_text_normalisation_eng.yaml index 6239e3bcc..fb305c322 100644 --- a/yaml/inverse_text_normalisation_eng.yaml +++ b/yaml/inverse_text_normalisation_eng.yaml @@ -200,27 +200,6 @@ components: example: Apple said the project-financing fund was the first of its kind Real estate developers often secure bonds for affordable housing development but must service the debt during construction until the houses are built and start to generate revenue Apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders description: |+ Input text - start: - x-name: start - type: string - default: true - example: "20.44" - description: |+ - Start time - end: - x-name: end - type: string - default: true - example: "28.4" - description: |+ - End time - seqNum: - x-name: seqNum - type: string - default: true - example: "4" - description: |+ - text order id securitySchemes: APIAuthorizer: type: apiKey From d1b873a95d6071800df81477916aa60f90ab51d0 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 21:02:02 +1000 Subject: [PATCH 0282/5916] Update inverse_text_normalisation_eng.yaml --- yaml/inverse_text_normalisation_eng.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/yaml/inverse_text_normalisation_eng.yaml b/yaml/inverse_text_normalisation_eng.yaml index fb305c322..e9608478b 100644 --- a/yaml/inverse_text_normalisation_eng.yaml +++ b/yaml/inverse_text_normalisation_eng.yaml @@ -187,9 +187,6 @@ components: type: array required: - text - - start - - end - - seqNum items: type: object properties: From d467eb8cd239168e617afe335d3d5238e10f94d8 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 21:47:49 +1000 Subject: [PATCH 0283/5916] Add files via upload --- yaml/d&b_basic_individual_search_sg.yaml | 1286 ++++++++++++++ yaml/d&b_brief_financial_information_sg.yaml | 1383 +++++++++++++++ yaml/d&b_business_check_plus_sg.yaml | 1665 ++++++++++++++++++ yaml/d&b_business_check_sg.yaml | 1122 ++++++++++++ 4 files changed, 5456 insertions(+) create mode 100644 yaml/d&b_basic_individual_search_sg.yaml create mode 100644 yaml/d&b_brief_financial_information_sg.yaml create mode 100644 yaml/d&b_business_check_plus_sg.yaml create mode 100644 yaml/d&b_business_check_sg.yaml diff --git a/yaml/d&b_basic_individual_search_sg.yaml b/yaml/d&b_basic_individual_search_sg.yaml new file mode 100644 index 000000000..bdd751a03 --- /dev/null +++ b/yaml/d&b_basic_individual_search_sg.yaml @@ -0,0 +1,1286 @@ +openapi: 3.0.1 +info: + title: D&B Basic Individual Search (SG) + description: |+ + This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily. + version: '0.1' +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1" + description: "Published Date - Jul 23, 2019" +paths: + /dnb/prod/sbis: + post: + tags: + - v0.1 + summary: Adds a new user + requestBody: + content: + application/xml: + schema: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: success response + content: + application/xml: + schema: + $ref: '#/components/schemas/success' + example: |+ + + 25/02/2009 17:31:44.678 + + + + + + 25/02/2009 17:31:44 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - S7250163B + + + - - S7250163B + + + + + + 1 1 1 1 1 1 1 1 1 1 1 1 2017 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2016 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2015 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 + + 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 + + 0 0 0 0 0 0 0 0 0 0 0 + 0 2015 0 + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [BASIC_INFO] + [LIT_SEARCH_INFO] + [LIST_CURRENT_COMP] + [LIST_PREVIOUS_COMP] + [LIST_BANKRUPTCY] + [LIST_LIT] + [LIST_LIT_DTL] + properties: + META_INFO: + type: object + example: |+ + + + + 25/02/2009 17:31:44.678 + + + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + properties: + SERVICE: + type: string + example: "BIS" + description: Report Requested + SYSTEM_ID : + type: string + example: "DDP" + description: System ID + CREATION_DATE: + type: datetime + example: "25/02/2009 17:31:44.678" + description: Report Request Date + USER_ID : + type: string + example: N/A + description: Valid user id in DDP system. It is for (For internal use) + BASIC_INFO : + type: object + description: |+ + Basic Information with following children: + PA_REG_NO + ADDRESS1 + ADDRESS2 + ADDRESS3 + example: |+ + + + + + + + properties: + PA_REG_NO: + type: string + description: Public Accountant Registration No. + example: "00091" + ADDRESS1: + type: string + description: Address 1 + example: "137" + ADDRESS2: + type: string + description: Address 2 + example: "vvvvv" + ADDRESS3: + type: string + description: Address 3 + example: "470137, SINGAPORE" + LIT_SEARCH_INFO : + type: object + example: |+ + + + + + 25/02/2009 17:31:44 + + + + + description: |+ + Litigation search information with following children: + COMP_NAME + REG_NO + REPORT_TYPE + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK HOLDINGS PTE LTD" + REG_NO: + type: string + description: Company Registration No + example: "197803191K" + REPORT_TYPE: + type: string + description: Report Type + example: "BIS" + REQ_DATE: + type: datetime + description: Requested Date + example: "25/02/2009 17:31:44" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197803191K" + REQ_NAME: + type: string + description: Request Name + example: "LOY KOK TOON" + REQ_DATE_STR: + type: string + description: Request Date String + example: "25/02/2009 15:04:14" + LIST_CURRENT_COMP : + type: array + description: |+ + List of current companies with following children: + [CURRENT_COMP] + example: |+ + + + + + + + + + + + + + + + + + + + items: + properties: + CURRENT_COMP: + type: object + description: |+ + Current companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + PROFIT_VALUE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: |+ + + + + + + + + + + + + + + + + + properties: + POSITION: + type: string + description: Position + example: "OWNER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "01/09/1971" + COMP_NAME: + type: string + description: Company Name + example: "BAN HOE LEONG COMPANY" + SEQ_NO: + type: string + description: Company Registration No. + example: "03647300J" + SHARE_VALUE1: + type: string + description: Share Percentage + example: "15.00" + COMP_STATUS: + type: string + description: Company Status + example: "LIVE" + PROFIT_VALUE1: + type: string + description: Profit Making 1 + example: "2008 = -" + PROFIT_VALUE2: + type: string + description: Profit Making 2 + example: "2007 = -" + PROFIT_VALUE3: + type: string + description: Profit Making 3 + example: "2006 = -" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "150000" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "62992797" + SIC: + type: string + description: SIC Code + example: "5012" + SIC_DESC: + type: string + description: SIC Description + example: "Automobiles and other Motor Vehicles" + LIST_PREVIOUS_COMP: + type: array + example: |+ + + + + + + + + + + + + + + + + + description: |+ + List of previous companies with following children: + [PREVIOUS_COMP] + items: + properties: + PREVIOUS_COMP : + type: object + description: |+ + Previous companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + CESSATION_DATE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: |+ + + + + + + + + + + + + + + + properties: + POSITION : + type: string + description: Position + example: "SHAREHOLDER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "30/06/1988" + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK INDUSTRIES PTE LTD" + SEQ_NO: + type: string + description: Company Registration No. + example: "198101820Z" + SHARE_VALUE1: + type: string + description: Share Value Percentage + example: "100.00" + COMP_STATUS: + type: string + description: Company Status + example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" + CESSATION_DATE : + type: string + description: Cessation Date + example: "22/09/1992" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "390002" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "67467646" + SIC: + type: string + description: SIC Code + example: "2325" + SIC_DESC: + type: string + description: SIC Description + example: "Men’s and Boys’ Separate Trousers and Slacks" + LIST_BANKRUPTCY: + type: array + description: |+ + Bankruptcy/ Winding up with following children: + [BANKRUPTCY] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + items: + properties: + BANKRUPTCY : + type: object + description: |+ + Bankruptcy/Winding up detail with following children: + SUBJECT_NAME + COURT_CODE + CASE_CODE + CASE_YEAR + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + BANKRUPTCY_TYPE + [LIST_PLAINTIFF] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + properties: + SUBJECT_NAME : + type: string + description: Subject Name + example: + COURT_CODE: + type: string + description: Court Code + example: "CWU" + CASE_CODE: + type: string + description: Case Code + example: "381" + CASE_YEAR: + type: string + description: Case Year + example: "2000" + ACTION_DATE: + type: string + description: Action Date + example: "22/12/2000" + BANKRUPTCY_ACT: + type: string + description: Act of Bankruptcy + example: "Petition for Winding Up" + HEARING_DATE : + type: string + description: Hearing Date + example: "26/03/2009" + CURRENCY1: + type: string + description: Currency + example: + AMOUNT1: + type: string + description: Amount + example: "334,616.00" + CURRENCY2: + type: string + description: Currency + example: + AMOUNT2: + type: string + description: Amount + example: "0.00" + CURRENCY3: + type: string + description: Currency + example: + AMOUNT3: + type: string + description: Amount + example: "0.00" + BANKRUPTCY_TYPE: + type: string + description: Bankruptcy Type + example: "COMPANY WINDING UP PETITION" + LIST_PLAINTIFF: + type: array + description: |+ + List of Plaintiff with following children: + [PLAINTIFF] + example: |+ + + + + + + + + + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + example: |+ + + + + + + + properties: + PLA_NAME: + type: string + description: Pla. Name + example: "B 2003 P1" + PLA_SOLICITOR: + type: string + description: Pla. Solicitor + example: "PATRICK KHOO ENG HOCK" + PLA_SOLICITOR_ID: + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "RSP/292668/1" + LIST_LIT: + type: array + description: |+ + List of litigation with following children: + [LIT] + example: |+ + + + + + + + + items: + properties: + LIT: + type: object + description: |+ + Basic litigation info with following children: + SUBJECT_NAME + SEQ_NO + FORMATTED_ID + [LIST_LIT_DTL] + example: |+ + + + + + + properties: + SUBJECT_NAME: + type: string + description: Name + example: "ENG YICK HOLDINGS PTE LTD" + SEQ_NO: + type: integer + description: Sequence No. + example: 1 + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + LIST_LIT_DTL: + type: array + description: |+ + List of litigation detail with following children: + [LIT_DTL] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + S7250163B + + + + + + + + + - + - + S7250163B + + + + + + + + + + + + + items: + properties: + LIT_DTL: + type: object + description: |+ + Litigation detail with following children: + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + FORMATTED_ID + DOC_REMARKS + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + CASE_STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + [LIST_PLAINTIFF] + [LIST_DEFENDANT] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + S7250163B + + + + + + + + + - + - + S7250163B + + + + + + + + + + + + properties: + NATURE_OF_CLAIM: + type: string + description: Nature of Claim + example: "CONTRACTS-WORK DONE & SERVICES RENDERED" + STATUS_DATE: + type: string + description: Status Date + example: "13/08/2001" + CASE_NO: + type: string + description: Case No. + example: "MC 23631 / 2001" + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + DOC_REMARKS: + type: string + description: Document Remark + example: "WRIT OF SUMMONS" + CURRENCY1: + type: string + description: Currency 1 + example: "SIN" + CURRENCY2: + type: string + description: Currency 2 + example: + CURRENCY3: + type: string + description: Currency 3 + example: + CURRENCY4: + type: string + description: Currency 4 + example: + CURRENCY5: + type: string + description: Currency 5 + example: + CASE_STATUS: + type: string + description: Status + example: "PENDING AS AT STATUS DATE" + AMOUNT1: + type: string + description: Amount 1 + example: "36,196.00" + AMOUNT2: + type: string + description: Amount 2 + example: "0.00" + AMOUNT3: + type: string + description: Amount 3 + example: "0.00" + AMOUNT4: + type: string + description: Amount 4 + example: "0.00" + AMOUNT5: + type: string + description: Amount 5 + example: "0.00" + LIST_PLAINTIFF: + type: array + description: |+ + List of plaintiff with following children: + [PLAINTIFF] + example: |+ + + + + + + + + + - + - + S7250163B + + + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + LAW_FIRM + WRITE_DATE + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_STATUS + PLA_STATUS_DATE + PLA_ID + example: |+ + + + + + + + + - + - + S7250163B + + properties: + PLA_NAME: + type: string + description: Plaintiff Name + example: "ROTARY PILING PTE LTD" + LAW_FIRM: + type: string + description: Pla. Law Firm + example: "JOSEPH HOO MORRIS & KUMAR" + WRITE_DATE: + type: string + description: Writ date + example: "13/08/2001" + PLA_SOLICITOR: + type: string + description: Plaintiff Solicitor + example: "HOO JOSEPH" + PLA_SOLICITOR_ID: + type: string + description: Plaintiff Solicitor ID + example: "ORS" + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "CHH 6253 D27" + PLA_STATUS: + type: string + description: Plaintiff Status + example: + PLA_STATUS_DATE: + type: string + description: Plaintiff Status Date + example: + PLA_ID: + type: string + description: Plaintiff ID + example: "S7250163B" + LIST_DEFENDANT: + type: array + description: |+ + List of defendant with following children: + [DEFENDANT] + example: |+ + + + + + + + + + items: + properties: + DEFENDANT: + type: object + description: |+ + Defendant detail with following children: + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + example: |+ + + + + + + + properties: + DEF_SOLICITOR: + type: string + description: Def. Solicitor + example: + DEF_SOLICITOR_ID: + type: string + description: Def. Solicitor ID + example: N/A + DEF_LAW_FIRM: + type: string + description: Def. Law Firm + example: + DEF_FILE_REF: + type: string + description: Def. File Ref. + example: + LIST_Ddrptcount: + type: array + description: |+ + List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: + [Ddrptcount] + example: |+ + + + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 2017 + 1 + + + items: + properties: + Ddrptcount: + type: object + description: |+ + 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcyear + Rcsecflag + example: |+ + + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 2017 + 1 + + properties: + Rcjan: + type: integer + description: Count for January + example: "1" + Rcfeb: + type: integer + description: Count for February + example: "1" + Rcmar: + type: integer + description: Count for March + example: "1" + Rcapr: + type: integer + description: Count for April + example: "1" + Rcmay: + type: integer + description: Count for May + example: "1" + Rcjun: + type: integer + description: Count for June + example: "1" + Rcjul: + type: integer + description: Count for July + example: "1" + Rcaug: + type: integer + description: Count for August + example: "1" + Rcsep: + type: integer + description: Count for September + example: "1" + Rcoct: + type: integer + description: Count for October + example: "1" + Rcnov: + type: integer + description: Count for November + example: "1" + Rcdec: + type: integer + description: Count for December + example: "1" + Rcyear: + type: integer + description: To show the year + example: "1" + Rcsecflag: + type: integer + description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors + example: "1" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: number + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/yaml/d&b_brief_financial_information_sg.yaml b/yaml/d&b_brief_financial_information_sg.yaml new file mode 100644 index 000000000..a9ed9eeda --- /dev/null +++ b/yaml/d&b_brief_financial_information_sg.yaml @@ -0,0 +1,1383 @@ +openapi: 3.0.1 +info: + title: D&B Brief Financial Information (SG) + description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. + version: '0.1' +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1" + description: "Published Date - Jul 23, 2019" +paths: + /dnb/prod/sbfe: + post: + tags: + - v0.1 + summary: Adds a new user + requestBody: + content: + application/xml: + schema: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: success response + content: + application/xml: + schema: + $ref: '#/components/schemas/success' + example: |+ + + 25/02/2009 17:31:44> + + + 2009-04-21 10:56:06.716 + 2004 2003 2002 2005 + 2006 2007 2008 2009 2008 2007 2006 2005 2004 + + 9403795.00 8617168.00 7807393.00 31467.00 162620.00 1281387.00 31467.00 162620.00 1281387.00 0.00 0.00 60318.00> 31467.00 162620.00 1341705.00 3889213.00 3395740.00 4374368.00 3359007.00 2855754.00 3546381.00 530206.00 539986.00 827987.00> 7370430.00 6845490.00 7661498.00 6739073.00 6157560.00 6435365.00 631357.00 687930.00 122133.00 -3481217.00 -3449750.00 -3287130.00 2000000.00 2000000.00 2000000.00 0.00 0.00 0.00 5481217.00 5449750.00 5287130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + + 10877254.00 9982533.00 1121483.00 262632.00 1347380.00 262632.00 6562990.00 5424551.00 6283449.00 4948821.00 279541.00 475730.00 8434195.00 8643136.00 8434195.00 7933013.00 0.00 710123.00 -1871205.00 -3218585.00 2000000.00 2000000.00 0.00 0.00 -3,871,205.00 -5,218,585.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 + + 12.39 2.63 0.00 0.00 0.00 20.53 4.84 0.00 0.00 0.00 -72.01 -8.16 -0.00 -0.00 -0.00 1.66 1.84 2.42 2.54 1.78 0.74 0.62 0.50 0.46 0.55 -28.51 -59.33 -89.51 -101.59 -75.15 128.51 168.27 189.51 201.59 175.15 + + 1121483.0 10877254 2008 + + 262632.0> 9982533 2007 + + -31467.0 9403795 2006 + + -162620.0 8617168 2005 + + -1281387.0 7807393 2004 + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + description: |+ + Report details with following children: + [META_INFO] + [FH_SEARCH_INFO] + [FH_DTL] + [XBRL_DTL] + [FH_RATIO_DTL] + [LIST_FH_CHART_INFO] + example: + properties: + META_INFO: + type: object + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + example: |+ + + + + 25/02/2009 17:31:44> + + + properties: + SERVICE: + type: string + description: Report Requested + example: "BFE" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: string + description: Report Request Date + example: "25/02/2009 17:31:44" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + FH_SEARCH_INFO: + type: object + description: |+ + FH search information with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + FH_BEFORE_YR1 + FH_BEFORE_YR2 + FH_BEFORE_YR3 + FH_BEFORE_YR4 + FH_BEFORE_YR5 + FH_AFTER_YR1 + FH_AFTER_YR2 + FH_AFTER_YR3 + FH_AFTER_YR4 + FH_AFTER_YR5 + AC_RATIOS_YR1 + AC_RATIOS_YR2 + AC_RATIOS_YR3 + AC_RATIOS_YR4 + AC_RATIOS_YR5 + example: |+ + + + + 2009-04-21 10:56:06.716 + + + + 2004 + 2003 + 2002 + 2005 + 2006 + 2007 + 2008 + 2009 + 2008 + 2007 + 2006 + 2005 + 2004 + + properties: + COMP_NAME : + type: string + description: Company Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REG_NO : + type: string + description: Company Registration No + example: "200003058W" + REQ_DATE : + type: datetime + description: Requested Date + example: "2009-04-21 10:56:06.716" + REQ_REG_NO : + type: string + description: Request Registration Number + example: "200003058W" + REQ_NAME : + type: string + description: Request Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REQ_DATE_STR : + type: string + description: Request Date String + example: "21/04/2009 10:56:06" + FH_BEFORE_YR1 : + type: string + description: Financial Highlight filed before year 1 + example: "2004" + FH_BEFORE_YR2 : + type: string + description: Financial Highlight filed before year 2 + example: "2003" + FH_BEFORE_YR3 : + type: string + description: Financial Highlight filed before year 3 + example: "2002" + FH_AFTER_YR1: + type: string + description: Financial Highlight filed after year 1 + example: "2005" + FH_AFTER_YR2 : + type: string + description: Financial Highlight filed after year 2 + example: "2006" + FH_AFTER_YR3 : + type: string + description: Financial Highlight filed after year 3 + example: "2007" + FH_AFTER_YR4: + type: string + description: Financial Highlight filed after year 4 + example: "2008" + FH_AFTER_YR5: + type: string + description: Financial Highlight filed after year 5 + example: "2009" + AC_RATIOS_YR1 : + type: string + description: Account Ratio year 1 + example: "2008" + AC_RATIOS_YR2 : + type: string + description: Account Ratio year 2 + example: "2007" + AC_RATIOS_YR3 : + type: string + description: Account Ratio year 3 + example: "2006" + AC_RATIOS_YR4 : + type: string + description: Account Ratio year 4 + example: "2005" + AC_RATIOS_YR5 : + type: string + description: Account Ratio year 5 + example: "2004" + FH_DTL: + type: object + description: |+ + Financial Highlight with following children: + FH_YR1_CURR + TURNOVER1 + PL_BEF_TAX1 + PL_AFT_TAX1 + NETINC_NON_EXT1 + PL_AFT_TAX_EXT1 + TOT_ASSETS1 + TA_CURRENT1 + TA_FIXED1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + SH_FUNDS1 + SH_PAIDUP_CAPITAL1 + SH_RESERVES1 + SH_ACCUM_LOSS1 + GRP_TURNOVER1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_NETINC_NON_EXT1 + GRP_PL_AFT_TAX_EXT1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_FIXED1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_SH_FUNDS1 + GRP_SH_PAIDUP_CAPITAL1 + GRP_SH_RESERVES1 + GRP_SH_ACCUM_LOSS1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. + example: |+ + + + + + 9403795.00 + 8617168.00 + 7807393.00 + 31467.00 + 162620.00 + 1281387.00 + 31467.00 + 162620.00 + 1281387.00 + 0.00 + 0.00 + 60318.00> + 31467.00 + 162620.00 + 1341705.00 + 3889213.00 + 3395740.00 + 4374368.00 + 3359007.00 + 2855754.00 + 3546381.00 + 530206.00 + 539986.00 + 827987.00> + 7370430.00 + 6845490.00 + 7661498.00 + 6739073.00 + 6157560.00 + 6435365.00 + 631357.00 + 687930.00 + 122133.00 + -3481217.00 + -3449750.00 + -3287130.00 + 2000000.00 + 2000000.00 + 2000000.00 + 0.00 + 0.00 + 0.00 + 5481217.00 + 5449750.00 + 5287130.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + + + + + properties: + FH_YR1_CURR : + type: string + description: |+ + FH Before Year 1 Currency + Subsequent Years: + FH_YR2_CURR + FH_YR3_CURR + FH_YR4_CURR + FH_YR5_CURR + example: "(SGD)" + TURNOVER1 : + type: string + description: |+ + Turnover / Sales And Other Operating Revenues + Subsequent Years: + TURNOVER2 + TURNOVER3 + TURNOVER4 + TURNOVER5 + example: "9403795.00" + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: "31467.00" + PL_AFT_TAX1: + type: string + description: |+ + Profit / Loss After Tax + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: "31467.00" + NETINC_NON_EXT1: + type: string + description: |+ + Net Income / Loss From Extraordinary And Non- Operating Items + Subsequent Years: + NETINC_NON_EXT2 + NETINC_NON_EXT3 + NETINC_NON_EXT4 + NETINC_NON_EXT5 + example: "0.00" + PL_AFT_TAX_EXT1 : + type: string + description: |+ + Profit / Loss After Tax and Extraordinary Items + Subsequent Years: + PL_AFT_TAX_EXT2 + PL_AFT_TAX_EXT3 + PL_AFT_TAX_EXT4 + PL_AFT_TAX_EXT5 + example: "31467.00" + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: "3889213.00" + TA_CURRENT1 : + type: string + description: |+ + Total Assets - Current + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: "3359007.00" + TA_FIXED1 : + type: string + description: |+ + Total Assets – Fixed and Others + Subsequent Years: + TA_FIXED2 + TA_FIXED3 + TA_FIXED4 + TA_FIXED5 + example: "530206.00" + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: "7370430.00" + TL_CURRENT1 : + type: string + description: |+ + Total Liabilities - Current + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: "6739073.00" + TL_NON_CURRENT1 : + type: string + description: |+ + Total Liabilities – Non- Current & Long Term + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: "631357.00" + SH_FUNDS1: + type: string + description: |+ + Shareholder’s Fund + Subsequent Years: + SH_FUNDS2 + SH_FUNDS3 + SH_FUNDS4 + SH_FUNDS5 + example: "-3481217.00" + SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Shareholder’s Fund – Paid Up Capital + Subsequent Years: + SH_PAIDUP_CAPITAL2 + SH_PAIDUP_CAPITAL3 + SH_PAIDUP_CAPITAL4 + SH_PAIDUP_CAPITAL5 + example: "2000000.00" + SH_RESERVES1 : + type: string + description: |+ + Shareholder’s Fund - Reserves + Subsequent Years: + SH_RESERVES2 + SH_RESERVES3 + SH_RESERVES4 + SH_RESERVES5 + example: "0.00" + SH_ACCUM_LOSS1: + type: string + description: |+ + Shareholder’s Fund – Accumulated Loss + Subsequent Years: + SH_ACCUM_LOSS2 + SH_ACCUM_LOSS3 + SH_ACCUM_LOSS4 + SH_ACCUM_LOSS5 + example: "5481217.00" + GRP_TURNOVER1 : + type: string + description: |+ + Group Turnover / Sales and Other Operating Revenues + Subsequent Years: + GRP_TURNOVER2 + GRP_TURNOVER3 + GRP_TURNOVER4 + GRP_TURNOVER5 + example: "0.00" + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: "0.00" + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: "0.00" + GRP_NETINC_NON_EXT1 : + type: string + description: |+ + Group Net Income / Loss From Extraordinary and Non-Operating Items + Subsequent Years: + GRP_NETINC_NON_EXT2 + GRP_NETINC_NON_EXT3 + GRP_NETINC_NON_EXT4 + GRP_NETINC_NON_EXT5 + example: "0.00" + GRP_PL_AFT_TAX_EXT1: + type: string + description: |+ + Group Profit / Loss After Tax and Extraordinary items + Subsequent Years: + GRP_ PL_AFT_TAX_EXT2 + GRP_ PL_AFT_TAX_EXT3 + GRP_ PL_AFT_TAX_EXT4 + GRP_ PL_AFT_TAX_EXT5 + example: "0.00" + GRP_TOT_ASSETS1: + type: string + description: |+ + Group Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: "0.00" + GRP_TA_CURRENT1 : + type: string + description: |+ + Group Total Assets – Current + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT5 + example: "0.00" + GRP_TA_FIXED1 : + type: string + description: |+ + Group Total Assets – Fixed and Others + Subsequent Years: + GRP_TA_FIXED2 + GRP_TA_FIXED3 + GRP_TA_FIXED4 + GRP_TA_FIXED5 + example: "0.00" + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: "0.00" + GRP_TL_CURRENT1 : + type: string + description: |+ + Group Total Liabilities - Current + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: "0.00" + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group Total Liabilities – Non-Current & Long Term + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: "0.00" + GRP_SH_FUNDS1 : + type: string + description: |+ + Group Shareholder’s Fund + Subsequent Years: + GRP_ SH_FUNDS2 + GRP_ SH_FUNDS3 + GRP_ SH_FUNDS4 + GRP_ SH_FUNDS5 + example: "0.00" + GRP_SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Group Shareholder’s Fund – Paid Up Capital + Subsequent Years: + GRP_SH_PAIDUP_CAPITAL2 + GRP_SH_PAIDUP_CAPITAL3 + GRP_SH_PAIDUP_CAPITAL4 + GRP_SH_PAIDUP_CAPITAL5 + example: "0.00" + GRP_SH_RESERVES1: + type: string + description: |+ + Group Shareholder’s Fund - Reserves + Subsequent Years: + GRP_SH_RESERVES2 + GRP_SH_RESERVES3 + GRP_SH_RESERVES4 + GRP_SH_RESERVES5 + example: "0.00" + GRP_SH_ACCUM_LOSS1 : + type: string + description: |+ + Group Shareholder’s Fund – Accumulated Loss + Subsequent Years: + GRP_SH_ACCUM_LOSS2 + GRP_SH_ACCUM_LOSS3 + GRP_SH_ACCUM_LOSS4 + GRP_SH_ACCUM_LOSS5 + example: "0.00" + GRP_INDICATOR1 : + type: string + description: |+ + Company Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: "B" + XBRL_DTL: + type: object + description: |+ + XBRL filed after 1 Nov 2007 with following children: + XBRL_YR1_CURR + REVENUE1 + PL_BEF_TAX1 + PL_AFT_TAX1 + TOT_ASSETS1 + TA_CURRENT1 + TA_NON_CURRENT1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + TOT_EQUITY1 + EQ_SH_CAPITAL1 + EQ_RESERVES1 + EQ_RETAINED_EARN1 + GRP_REVENUE1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_NON_CURRENT1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_TOT_EQUITY1 + GRP_SH_CAPITAL1 + GRP_RESERVES1 + GRP_RETAINED_EARN1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. + example: |+ + + + + 10877254.00 + 9982533.00 + 1121483.00 + 262632.00 + 1347380.00 + 262632.00 + 6562990.00 + 5424551.00 + 6283449.00 + 4948821.00 + 279541.00 + 475730.00 + 8434195.00 + 8643136.00 + 8434195.00 + 7933013.00 + 0.00 + 710123.00 + -1871205.00 + -3218585.00 + 2000000.00 + 2000000.00 + 0.00 + 0.00 + -3,871,205.00 + -5,218,585.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + + + + + properties: + XBRL_YR1_CURR: + type: string + description: |+ + FH After Year 1 Currency + Subsequent Years: + XBRL_YR2_CURR + XBRL_YR3_CURR + XBRL_YR4_CURR + XBRL_YR5_CURR + example: "(SGD)" + REVENUE1 : + type: string + description: |+ + Revenue Amount + Subsequent Years: + REVENUE2 + REVENUE3 + REVENUE4 + REVENUE5 + example: "10877254.00" + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: "1121483.00" + PL_AFT_TAX1 : + type: string + description: |+ + Profit / Loss After Tax from Continuing Operations + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: "1347380.00" + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: "6562990.00" + TA_CURRENT1 : + type: string + description: |+ + Total Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: "6283449.00" + TA_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_NON_CURRENT2 + TA_NON_CURRENT3 + TA_NON_CURRENT4 + TA_NON_CURRENT5 + example: "279541.00" + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: "8434195.00" + TL_CURRENT1 : + type: string + description: |+ + Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: "8434195.00" + TL_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: "0.00" + TOT_EQUITY1 : + type: string + description: |+ + Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + TOT_EQUITY2 + TOT_EQUITY3 + TOT_EQUITY4 + TOT_EQUITY5 + example: "-1871205.00" + EQ_SH_CAPITAL1 : + type: string + description: |+ + Total Equity – Share Capital + Subsequent Years: + EQ_SH_CAPITAL2 + EQ_SH_CAPITAL3 + EQ_SH_CAPITAL4 + EQ_SH_CAPITAL5 + example: "2000000.00" + EQ_RESERVES1 : + type: string + description: |+ + Total Equity – Other Reserves + Subsequent Years: + EQ_RESERVES2 + EQ_RESERVES3 + EQ_RESERVES4 + EQ_RESERVES5 + example: "0.00" + EQ_RETAINED_EARN1 : + type: string + description: |+ + Total Equity – Retained Earnings (Accumulated Loss) + Subsequent Years: + EQ_RETAINED_EARN2 + EQ_RETAINED_EARN3 + EQ_RETAINED_EARN4 + EQ_RETAINED_EARN5 + example: "-3,871,205.00" + GRP_REVENUE1 : + type: string + description: |+ + Group’s Revenue Amount + Subsequent Years: + GRP_REVENUE2 + GRP_REVENUE3 + GRP_REVENUE4 + GRP_REVENUE5 + example: "0.00" + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: "0.00" + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax from Continuing Operations + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: "0.00" + GRP_TOT_ASSETS1 : + type: string + description: |+ + Group’s Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: "0.00" + GRP_TA_CURRENT1 : + type: string + description: |+ + Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT4 + example: "0.00" + GRP_TA_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_NON_CURRENT2 + GRP_TA_NON_CURRENT3 + GRP_TA_NON_CURRENT4 + GRP_TA_NON_CURRENT4 + example: "0.00" + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group’s Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: "0.00" + GRP_TL_CURRENT1 : + type: string + description: |+ + Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: "0.00" + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: "0.00" + GRP_TOT_EQUITY1 : + type: string + description: |+ + Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + GRP_TOT_EQUITY2 + GRP_TOT_EQUITY3 + GRP_TOT_EQUITY4 + GRP_TOT_EQUITY5 + example: "0.00" + GRP_SH_CAPITAL1 : + type: string + description: |+ + Group’s Share Capital + Subsequent Years: + GRP_SH_CAPITAL2 + GRP_SH_CAPITAL3 + GRP_SH_CAPITAL4 + GRP_SH_CAPITAL5 + example: "0.00" + GRP_RESERVES1 : + type: string + description: |+ + Group’s Other Reserves + Subsequent Years: + GRP_RESERVES2 + GRP_RESERVES3 + GRP_RESERVES4 + GRP_RESERVES5 + example: "0.00" + GRP_RETAINED_EARN1 : + type: string + description: |+ + Group’s – Retained Earnings (Accumulated Loss) + Subsequent Years: + GRP_RETAINED_EARN2 + GRP_RETAINED_EARN3 + GRP_RETAINED_EARN4 + GRP_RETAINED_EARN5 + example: "0.00" + GRP_INDICATOR1 : + type: string + description: |+ + XBRL Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: "B" + FH_RATIOS_DTL: + type: object + description: |+ + Accounting Ratios Details with following children: + RATE_NET_PROFIT1 + RET_INVESTMENT1 + RET_SH_FUNDS1 + TOT_ASSETS_TURNOVER1 + CURR_CAPITAL_RATIO1 + PROPRIETARY_RATIO1 + TOTAL_DEBT_RATIO1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. + example: |+ + + 12.39 + 2.63 + 0.00 + 0.00 + 0.00 + 20.53 + 4.84 + 0.00 + 0.00 + 0.00 + -72.01 + -8.16 + -0.00 + -0.00 + -0.00 + 1.66 + 1.84 + 2.42 + 2.54 + 1.78 + 0.74 + 0.62 + 0.50 + 0.46 + 0.55 + -28.51 + -59.33 + -89.51 + -101.59 + -75.15 + 128.51 + 168.27 + 189.51 + 201.59 + 175.15 + + properties: + RATE_NET_PROFIT1 : + type: string + description: |+ + Rate of Net Profit On Sales (%) + Subsequent Years: + RATE_NET_PROFIT2 + RATE_NET_PROFIT3 + RATE_NET_PROFIT4 + RATE_NET_PROFIT5 + example: "12.39" + RET_INVESTMENT1 : + type: string + description: |+ + Return of Investment (%) + Subsequent Years: + RET_INVESTMENT2 + RET_INVESTMENT3 + RET_INVESTMENT4 + RET_INVESTMENT5 + example: "20.53" + RET_SH_FUNDS1 : + type: string + description: |+ + Return of Shareholder’s Funds (%) + Subsequent Years: + RET_SH_FUNDS2 + RET_SH_FUNDS3 + RET_SH_FUNDS4 + RET_SH_FUNDS4 + example: "-72.01" + TOT_ASSETS_TURNOVER1 : + type: string + description: |+ + Total Assets Turnover (%) + Subsequent Years: + TOT_ASSETS_TURNOVER2 + TOT_ASSETS_TURNOVER3 + TOT_ASSETS_TURNOVER4 + TOT_ASSETS_TURNOVER5 + example: "1.66" + CURR_CAPITAL_RATIO1: + type: string + description: |+ + Current / Working Capital Ratio (%) + Subsequent Years: + CURR_CAPITAL_RATIO2 + CURR_CAPITAL_RATIO3 + CURR_CAPITAL_RATIO4 + CURR_CAPITAL_RATIO5 + example: "0.74" + PROPRIETARY_RATIO1: + type: string + description: |+ + Proprietary Ratio (%) 1 + Subsequent Years: + PROPRIETARY_RATIO2 + PROPRIETARY_RATIO3 + PROPRIETARY_RATIO4 + PROPRIETARY_RATIO5 + example: "-28.51" + TOTAL_DEBT_RATIO1 : + type: string + description: |+ + Total Debt to Equity Ratio (%) 1 + Subsequent Years: + TOTAL_DEBT_RATIO2 + TOTAL_DEBT_RATIO3 + TOTAL_DEBT_RATIO4 + TOTAL_DEBT_RATIO5 + example: "128.51" + LIST_FH_CHART_INFO : + type: array + example: |+ + + + 1121483.0 + 10877254 + 2008 + + + description: |+ + List of chart info with following children: + [FH_CHART_INFO] + items: + properties: + FH_CHART_INFO: + type: object + description: |+ + Chart Info info with following children: + YEAR + REVENUE + PROFIT_LOSS + properties: + PROFIT_LOSS: + type: string + example: "1121483.0" + description: Profit / Loss Before Tax of the year + REVENUE: + type: string + example: "10877254" + description: Revenue Amount of the year + YEAR: + type: string + example: "2008" + description: Financial Year + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: number + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + "197601887ETRANSTAR TRAVEL PTE LTD" + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/yaml/d&b_business_check_plus_sg.yaml b/yaml/d&b_business_check_plus_sg.yaml new file mode 100644 index 000000000..b144b933a --- /dev/null +++ b/yaml/d&b_business_check_plus_sg.yaml @@ -0,0 +1,1665 @@ +openapi: 3.0.1 +info: + title: D&B Business Check Plus (SG) + description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace of a company including the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. + version: '0.1' +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1" + description: "Published Date - Jul 23, 2019" +paths: + /dnb/prod/sbcp: + post: + tags: + - v0.1 + summary: Adds a new user + requestBody: + content: + application/xml: + schema: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: success response + content: + application/xml: + schema: + $ref: '#/components/schemas/success' + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 300 + + + + + + + + + + + + + + + + + + + + + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + ANGELA ANG + S1633336D + Liquidator + KING FINANCIAL ADVISORY SERVICES LEVEL 17 MLC CENTRE 19029 MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA 18/02/2009 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + + + + + + + + + + + + + + + + + + + + +
+ + + + + + +
+ + + + + + + + + 30000.00 + + 28000.00 + + 27,000.00 + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_WINDING_UP] + [LIST_LITIGATION] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] + properties: + META_INFO: + type: object + example: |+ + + + + + + + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS + properties: + SERVICE: + type: string + description: Report requested + example: "BCP" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: string + description: Report request date + example: "Wed Apr 08 11:37:51 MYT 2009" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + CLASS: + type: string + description: Class location for metabean. It is for (For internal use) + example: N/A + REGISTRY_DETAIL : + type: object + example: |+ + + + + + + + + + + + + + + + + + + + + + + description: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP + properties: + RENEWAL_DATE: + type: string + description: Renewal Date + example: "23/12/2008" + ADDRESS1: + type: string + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" + ADDRESS2: + type: string + description: Address Line 2 + example: "KEPPEL BAY TOWER" + ADDRESS3: + type: string + description: Address Line 3 + example: "098632" + ADDRESS4: + type: string + description: Address Line 4 + example: "SINGAPORE" + COMP_TYPE_CODE: + type: string + example: CP + description: |+ + Report Code. Available values are: + 1. CP Corporate + 2. SP Sole Proprietor + REG_DATE: + type: string + description: Registration Date + example: "14/10/1974" + REG_ACTIVITY1: + type: string + description: Registered Activities 1 + example: "OTHER INVESTMENT HOLDING COMPANIES" + REG_ACTIVITY2: + type: string + description: Registered Activities 2 + example: "SHIP MANAGEMENT SERVICES" + ACC_DATE: + type: string + description: Account Date + example: "31/12/2007" + STATUS_EFFECT_DATE: + type: string + description: Status Effective Date + example: "14/10/1974" + NAME_EFFECT_DATE: + type: string + description: Name Effective Date + example: "14/10/1974" + EXPIRY_DATE: + type: string + description: Expiry Date + example: "25/10/2009" + COMP_TYPE: + type: string + description: Company Type + example: "LIMITED PRIVATE COMPANY" + CHANGE_ADDR_DATE: + type: string + description: Change Address Date + example: "09/05/2003" + COMP_STATUS: + type: string + description: Company Status + example: "Live Company" + REG_ACTIVITY_DESC1: + type: string + description: Registered Activities Description + example: + REG_ACTIVITY_DESC2: + type: string + description: Registered Activities Description + example: + AUDITOR: + type: string + description: Auditor Name + example: + AUDITOR_APPMT_DATE: + type: string + description: Auditor Appointment Date + example: "13/06/1990" + LAST_AR_DATE: + type: string + description: Date of Last AR + example: "30/06/2008" + LAST_AGM_DATE: + type: string + description: Date of Last AGM + example: "11/06/2008" + COUNTRY_INCORP: + type: string + description: Country Incorporated + example: "SINGAPORE" + REQ_SEARCH_INFO : + type: object + example: |+ + + + + + + + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REG_NO: + type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "197401835M" + REQ_DATE: + type: string + description: Report Requested Date + example: "2009-04-08 11:36:03.611" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197401835M" + REQ_NAME: + type: string + description: Request Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REQ_DATE_STR: + type: string + description: Request Date String + example: "08/04/2009 11:36:03" + EMPLOYEE_SIZE : + type: object + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: |+ + + + 300 + + properties: + ELEMENTS: + type: string + description: Description + example: "Employee Size" + AMOUNT: + type: string + description: Number of employee + example: "300" + LIST_BIZ_BRANCH : + type: array + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: |+ + + + + + + + items: + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: |+ + + + + + + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD + LIST_REG_CHARGES: + type: array + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: |+ + + + + + + + + + + items: + properties: + REG_CHARGES : + type: object + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: |+ + + + + + + + + + properties: + CHARGE_NO : + type: string + description: Charge No. + example: 8205117 + CHARGE_DATE: + type: string + description: Charge Date + example: 26/11/1982 + CHARGEE_COMP: + type: string + description: Charges Company + example: UNITED OVERSEAS BANK LIMITED + CURRENCY: + type: string + description: Currency + example: + AMT_SECURED: + type: string + description: Amount Secured + example: 1000.00 + STATUS_SATISFACTION: + type: string + description: Status of Satisfaction + example: + LIST_LIQUIDATOR: + type: array + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: |+ + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + + items: + properties: + LIQUIDATOR : + type: object + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE + example: |+ + + ABUTHAHIR ABDUL GAFOOR + S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + 1 RAFFLES PLACE + #20-01 + OUB CENTRE + SINGAPORE 048616 + 30/03/2009 + + properties: + LIQ_POSITION: + type: string + description: Liquidator / Receiver / Judicial Manager Position + example: Liquidator + LIQ_ID: + type: string + description: Liquidator / Receiver / Judicial Manager ID + example: S1676216D + LIQ_NAME : + type: string + description: Liquidator / Receiver / Judicial Manager Name + example: ABUTHAHIR ABDUL GAFOOR + LIQ_COMP: + type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: + type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: 1 RAFFLES PLACE + LIQ_ADDRESS2: + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: #20-01 + LIQ_ADDRESS3: + type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: OUB CENTRE + LIQ_ADDRESS4: + type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: 30/03/2009 + LIST_WINDING_UP : + type: array + description: |+ + List of Winding Up with following children: + [WINDING_UP] + example: |+ + + + + + + + + + + + + + + + + + + + + + items: + properties: + WINDING_UP : + type: object + description: |+ + Winding Up details with following children: + CASE_CODE + CASE_YEAR + PLAINTIFF + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_LAW_FIRM + SUBJECT_NAME + COURT_CODE + CASE_TYPE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + PLA_SOLICITOR + example: |+ + + + + + + + + + + + + + + + + + + + + properties: + CASE_CODE : + type: string + description: Case Code + example: 40000 + CASE_YEAR : + type: string + description: Case Year + example: 1999 + PLAINTIFF : + type: string + description: Plaintiff Name + example: + PLA_SOLICITOR_ID : + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF : + type: string + description: Pla. File Ref. + example: + PLA_LAW_FIRM : + type: string + description: Pla. Law Firm + example: NAME2 + SUBJECT_NAME : + type: string + description: Subject Name + example: PROACTIVE BUILDERS + COURT_CODE : + type: string + description: Court Code + example: CWU + CASE_TYPE : + type: string + description: Case Type + example: COMPANY WINDING UP PETITION + CURRENCY1 : + type: string + description: Currency 1 + example: SGD + AMOUNT1 : + type: string + description: Amount 1 + example: 41,424.52 + CURRENCY2 : + type: string + description: Currency 2 + example: MYR + AMOUNT2 : + type: string + description: Amount 2 + example: 0.00 + CURRENCY3 : + type: string + description: Currency 3 + example: + AMOUNT3 : + type: string + description: Amount 3 + example: 0.00 + ACTION_DATE : + type: string + description: Action Date + example: 11/05/2007 + BANKRUPTCY_ACT : + type: string + description: Act of Bankruptcy + example: Petition for Winding Up + HEARING_DATE : + type: string + description: Hearing Date + example: 15/12/2007 + PLA_SOLICITOR : + type: string + description: Pla. Solicitor + example: + LIST_LITIGATION : + type: array + description: |+ + List of Winding Up with following children: + [LITIGATION] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + items: + properties: + LITIGATION : + type: object + description: |+ + List of Winding Up with following children: + SUBJECT_NAME + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + DOC_REMARK + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + DATE_OF_WRIT + STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + PLAINTIFF + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_LAW_FIRM + PLA_FILE_REF + PLA_ID + PLA_STATUS + PLA_STATUS_DATE + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + properties: + SUBJECT_NAME : + type: string + description: Subject Name + example: "SOON SOON SEAFOOD" + NATURE_OF_CLAIM : + type: string + example: "CONTRACT 3" + description: Nature of Claim + STATUS_DATE : + type: string + example: "01/05/2008" + description: Status Date + CASE_NO : + type: string + example: "MC 40001 / 1999" + description: Case No + DOC_REMARKS : + type: string + example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" + description: Document Remark + CURRENCY1 : + type: string + example: "SGD" + description: Currency 1 + CURRENCY2 : + type: string + example: "MYR" + description: Currency 2 + CURRENCY3 : + type: string + example: "USD" + description: Currency 3 + CURRENCY4 : + type: string + example: "-" + description: Currency 4 + CURRENCY5 : + type: string + example: "-" + description: Currency 5 + DEF_SOLICITOR : + type: string + example: "SOL2" + description: Def. Solicitor + DEF_SOLICITOR_ID : + type: string + example: "20000000" + description: Def. Solicitor ID + DEF_LAW_FIRM : + type: string + example: "NAME2" + description: Def. Law Firm + DEF_FILE_REF : + type: string + example: "FILE2" + description: Def. File Ref. + DATE_OF_WRIT : + type: string + example: "01/01/2008" + description: Date Writ + STATUS : + type: string + example: "CONCLUDED 3" + description: Status + AMOUNT1 : + type: string + example: "100.00" + description: Amount 1 + AMOUNT2 : + type: string + example: "200.00" + description: Amount 2 + AMOUNT3 : + type: string + example: "0.00" + description: Amount 3 + AMOUNT4 : + type: string + example: "400.00" + description: Amount 4 + AMOUNT5 : + type: string + example: "0.00" + description: Amount 5 + PLAINTIFF : + type: string + example: "MC 40001" + description: Plaintiff Name + PLA_SOLICITOR: + type: string + example: "SOL2" + description: plantiff Solicitor + PLA_SOLICITOR_ID: + type: string + example: "20000000" + description: plantiff Solicitor ID + PLA_LAW_FIRM : + type: string + example: "NAME2" + description: Pla. Law Firm + PLA_FILE_REF : + type: string + example: "FILE2" + description: Pla. File Ref. + PLA_ID: + type: string + example: "S0739038F" + description: Plaintiff ID + PLA_STATUS: + type: string + example: "SETTLED - BEFORE SET DOWN" + description: Plaintiff Status + PLA_STATUS_DATE : + type: string + example: "17/10/2016" + description: Plaintiff Status Date + LIST_SHARE_INTEREST_COMP : + type: array + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: |+ + + + + + + + + + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: |+ + + + + + + + properties: + COMP_NAME : + type: string + description: Company Name + example: ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: 500000 + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: 100.00 + STATUS : + type: string + description: Status + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: |+ + + + + + + + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: |+ + + + + + properties: + PREV_NAME : + type: string + description: Previous Name + example: HUA XI EATING HOUSE + EFFECT_DATE : + type: string + description: Effective Date + example: 25/10/1997 00:00:00 + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: |+ + + +
+ + + + + + + + + + items: + properties: + SHAREHOLDER : + type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: |+ + +
+ + + + + + + + + + + properties: + ADDRESS : + type: string + description: Address + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID : + type: string + description: Company/ Identity No. + example: 198200406H + NO_OF_SHARE : + type: string + description: No. of Shares + example: 657 + CURRENCY : + type: string + description: Currency + example: UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE : + type: string + description: Indicator for Shareholder type + example: 2 + SHARE_TYPE : + type: string + description: Share Type + example: Preference + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 09/05/2003 + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: |+ + + + + + + + + + + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: |+ + + + + + + + + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: Issued + CAPITAL_TYPE : + type: string + description: Capital Type + example: Ordinary + CURRENCY : + type: string + description: Currency + example: SINGAPORE, DOLLARS + CAPITAL_AMT : + type: string + description: Capital Amount + example: 100,000.00 + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: 100,000 + LIST_OFFICER_OWNER : + type: array + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: |+ + + +
+ + + + + + + + items: + properties: + OFFICER_OWNER : + type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: |+ + +
+ + + + + + + + + + properties: + ADDRESS : + type: string + description: Address + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE + IDENTITY_ID : + type: string + description: Identity No. + example: S1674174D + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: 00091 + POSITION : + type: string + description: Position + example: DIRECTOR + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: S + CESSATION_DATE : + type: string + description: Cessation Date + example: 30/10/2003 + OFFICER_NAME : + type: string + description: Officer Name + example: HENRY GOH + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 30/10/2003 + APPMT_DATE : + type: string + description: Appointment Date + example: 30/10/2003 + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: |+ + + + 30000.00 + + + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: |+ + + + + + 30000.00 + + properties: + ELEMENTS : + type: string + description: Description + example: Sales Revenue Amount + YEAR : + type: string + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: string + description: Amount + example: 30000.00 + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: string + description: Count for January + example: 1 + Rcfeb : + type: string + description: Count for February + example: 1 + Rcmar : + type: string + description: Count for March + example: 1 + Rcapr : + type: string + description: Count for April + example: 1 + Rcmay : + type: string + description: Count for May + example: 1 + Rcjun : + type: string + description: Count for June + example: 1 + Rcjul : + type: string + description: Count for July + example: 1 + Rcaug : + type: string + description: Count for August + example: 1 + Rcsep : + type: string + description: Count for September + example: 1 + Rcoct : + type: string + description: Count for October + example: + Rcnov : + type: string + description: Count for November + example: 1 + Rcdec : + type: string + description: Count for December + example: 1 + Rcid : + type: string + description: Internal database value + example: + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: Product Type + example: + Rcsecflag : + type: string + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: string + description: Last update date + example: + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: number + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/yaml/d&b_business_check_sg.yaml b/yaml/d&b_business_check_sg.yaml new file mode 100644 index 000000000..f21fa7b75 --- /dev/null +++ b/yaml/d&b_business_check_sg.yaml @@ -0,0 +1,1122 @@ +openapi: 3.0.1 +info: + title: D&B Business Check (SG) + description: |+ + This Data microservice provides key business information of a Singapore-registered company includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. + version: '0.1' +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1" + description: "Published Date - Jul 23, 2019" +paths: + /dnb/prod/sbc: + post: + tags: + - v0.1 + summary: Adds a new user + requestBody: + content: + application/xml: + schema: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: success response + content: + application/xml: + schema: + $ref: '#/components/schemas/success' + example: |+ + string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string 0
string
+ + string string string string string string string string string string string string string
string
+ + string string string string string string string string string string string string string string string + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] + properties: + META_INFO: + type: object + example: |+ + + + + + + + + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS + properties: + SERVICE: + type: string + description: Report requested + example: "BC" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: datetime + description: Report request date + example: "Wed Apr 08 11:37:51 MYT 2009" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: "N/A" + CLASS: + type: string + description: Class location for metabean. It is for (For internal use) + example: "N/A" + REGISTRY_DETAIL : + type: object + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + description: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP + properties: + RENEWAL_DATE: + type: string + description: Renewal Date + example: "23/12/2008" + ADDRESS1: + type: string + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" + ADDRESS2: + type: string + description: Address Line 2 + example: "KEPPEL BAY TOWER" + ADDRESS3: + type: string + description: Address Line 3 + example: "098632" + ADDRESS4: + type: string + description: Address Line 4 + example: "SINGAPORE" + COMP_TYPE_CODE: + type: string + example: CP + description: |+ + Report Code. Available values are: + 1. CP Corporate + 2. SP Sole Proprietor + REG_DATE: + type: string + description: Registration Date + example: "14/10/1974" + REG_ACTIVITY1: + type: string + description: Registered Activities 1 + example: "OTHER INVESTMENT HOLDING COMPANIES" + REG_ACTIVITY2: + type: string + description: Registered Activities 2 + example: "SHIP MANAGEMENT SERVICES" + ACC_DATE: + type: string + description: Account Date + example: "31/12/2007" + STATUS_EFFECT_DATE: + type: string + description: Status Effective Date + example: "14/10/1974" + NAME_EFFECT_DATE: + type: string + description: Name Effective Date + example: "14/10/1974" + EXPIRY_DATE: + type: string + description: Expiry Date + example: "25/10/2009" + COMP_TYPE: + type: string + description: Company Type + example: "LIMITED PRIVATE COMPANY" + CHANGE_ADDR_DATE: + type: string + description: Change Address Date + example: "09/05/2003" + COMP_STATUS: + type: string + description: Company Status + example: "Live Company" + REG_ACTIVITY_DESC1: + type: string + description: Registered Activities Description + example: + REG_ACTIVITY_DESC2: + type: string + description: Registered Activities Description + example: + AUDITOR: + type: string + description: Auditor Name + example: + AUDITOR_APPMT_DATE: + type: string + description: Auditor Appointment Date + example: "13/06/1990" + LAST_AR_DATE: + type: string + description: Date of Last AR + example: "30/06/2008" + LAST_AGM_DATE: + type: string + description: Date of Last AGM + example: "11/06/2008" + COUNTRY_INCORP: + type: string + description: Country Incorporated + example: "SINGAPORE" + REQ_SEARCH_INFO : + type: object + example: |+ + + + + + + + + + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REG_NO: + type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "197401835M" + REQ_DATE: + type: string + description: Report Requested Date + example: "2009-04-08 11:36:03.611" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197401835M" + REQ_NAME: + type: string + description: Request Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REQ_DATE_STR: + type: string + description: Request Date String + example: "08/04/2009 11:36:03" + EMPLOYEE_SIZE : + type: object + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: |+ + + + 300 + + properties: + ELEMENTS: + type: string + description: Description + example: "Employee Size" + AMOUNT: + type: string + description: Number of employee + example: "300" + LIST_BIZ_BRANCH : + type: array + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: |+ + + + + + + + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: |+ + + + + + + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD + LIST_REG_CHARGES: + type: array + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: |+ + + + + + + + + + + + items: + properties: + REG_CHARGES : + type: object + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: |+ + + + + + + + + + properties: + CHARGE_NO : + type: string + description: Charge No. + example: 8205117 + CHARGE_DATE: + type: string + description: Charge Date + example: 26/11/1982 + CHARGEE_COMP: + type: string + description: Charges Company + example: UNITED OVERSEAS BANK LIMITED + CURRENCY: + type: string + description: Currency + example: + AMT_SECURED: + type: string + description: Amount Secured + example: 0.00 + STATUS_SATISFACTION: + type: string + description: Status of Satisfaction + example: + LIST_LIQUIDATOR: + type: array + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: |+ + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + + items: + properties: + LIQUIDATOR : + type: object + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE + example: |+ + + ABUTHAHIR ABDUL GAFOOR + S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + 1 RAFFLES PLACE + #20-01 + OUB CENTRE + SINGAPORE 048616 + 30/03/2009 + + properties: + LIQ_POSITION: + type: string + description: Liquidator / Receiver / Judicial Manager Position + example: Liquidator + LIQ_ID: + type: string + description: Liquidator / Receiver / Judicial Manager ID + example: S1676216D + LIQ_NAME : + type: string + description: Liquidator / Receiver / Judicial Manager Name + example: ABUTHAHIR ABDUL GAFOOR + LIQ_COMP: + type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: + type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: 1 RAFFLES PLACE + LIQ_ADDRESS2: + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: #20-01 + LIQ_ADDRESS3: + type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: OUB CENTRE + LIQ_ADDRESS4: + type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: 30/03/2009 + LIST_SHARE_INTEREST_COMP : + type: array + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: |+ + + + + + + + + + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: |+ + + + + + + + properties: + COMP_NAME : + type: string + description: Company Name + example: ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: 500000 + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: 100.00 + STATUS : + type: string + description: Status + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: |+ + + + + + + + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: |+ + + + + + properties: + PREV_NAME : + type: string + description: Previous Name + example: HUA XI EATING HOUSE + EFFECT_DATE : + type: string + description: Effective Date + example: 25/10/1997 00:00:00 + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: |+ + + +
+ + + + + + + + + + items: + properties: + SHAREHOLDER : + type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: |+ + +
+ + + + + + + + + + + properties: + ADDRESS : + type: string + description: Address + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID : + type: string + description: Company/ Identity No. + example: 198200406H + NO_OF_SHARE : + type: string + description: No. of Shares + example: 657 + CURRENCY : + type: string + description: Currency + example: UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE : + type: string + description: Indicator for Shareholder type + example: 2 + SHARE_TYPE : + type: string + description: Share Type + example: Preference + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 09/05/2003 + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: |+ + + + + + + + + + + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: |+ + + + + + + + + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: Issued + CAPITAL_TYPE : + type: string + description: Capital Type + example: Ordinary + CURRENCY : + type: string + description: Currency + example: SINGAPORE, DOLLARS + CAPITAL_AMT : + type: string + description: Capital Amount + example: 100,000.00 + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: 100,000 + LIST_OFFICER_OWNER : + type: array + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: |+ + + +
+ + + + + + + + items: + properties: + OFFICER_OWNER : + type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: |+ + +
+ + + + + + + + + + properties: + ADDRESS : + type: string + description: Address + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE + IDENTITY_ID : + type: string + description: Identity No. + example: S1674174D + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: 00091 + POSITION : + type: string + description: Position + example: DIRECTOR + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: S + CESSATION_DATE : + type: string + description: Cessation Date + example: 30/10/2003 + OFFICER_NAME : + type: string + description: Officer Name + example: HENRY GOH + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 30/10/2003 + APPMT_DATE : + type: string + description: Appointment Date + example: 30/10/2003 + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: |+ + + + 30000.00 + + + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: |+ + + + + + 30000.00 + + properties: + ELEMENTS : + type: string + description: Description + example: Sales Revenue Amount + YEAR : + type: integer + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: integer + description: Amount + example: 30000.00 + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: integer + description: Count for January + example: 1 + Rcfeb : + type: integer + description: Count for February + example: 1 + Rcmar : + type: integer + description: Count for March + example: 1 + Rcapr : + type: integer + description: Count for April + example: 1 + Rcmay : + type: integer + description: Count for May + example: 1 + Rcjun : + type: integer + description: Count for June + example: 1 + Rcjul : + type: integer + description: Count for July + example: 1 + Rcaug : + type: integer + description: Count for August + example: 1 + Rcsep : + type: integer + description: Count for September + example: 1 + Rcoct : + type: integer + description: Count for October + example: 1 + Rcnov : + type: integer + description: Count for November + example: 1 + Rcdec : + type: integer + description: Count for December + example: 1 + Rcid : + type: integer + description: Internal database value + example: + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: Product Type + example: + Rcsecflag : + type: integer + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: string + description: Last update date + example: + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: number + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 23, 2019 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From d8eb070cad6c3e93bb771efaf8bb90fba5172ff0 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 21:48:58 +1000 Subject: [PATCH 0284/5916] Update index.yaml --- yaml/index.yaml | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index c017fe261..8f924a35c 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -211,22 +211,22 @@ Data: title: HDB Shelters Locations (SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/amenities_shelters_hdb_sg.yaml" - Business Check Plus Dun & Bradstreet (SG): - title: Business Check Plus Dun & Bradstreet (SG) + D&B Business Check Plus (SG): + title: D&B Business Check Plus (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml" - Basic Individual Search Dun & Bradstreet (SG): - title: Basic Individual Search Dun & Bradstreet (SG) + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_business_check_plus_sg.yaml" + D&B Basic Individual Search (SG): + title: D&B Basic Individual Search (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml" - Business Check Dun & Bradstreet (SG): - title: Business Check Dun & Bradstreet (SG) + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_basic_individual_search_sg.yaml" + D&B Business Check (SG): + title: D&B Business Check (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BusinessCheckDun&Bradstreet(SG).yaml" - Brief Financial Extraction Dun & Bradstreet (SG): - title: Brief Financial Extraction Dun & Bradstreet (SG) + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_business_check_sg.yaml" + D&B Brief Financial Information (SG): + title: D&B Brief Financial Information (SG) versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_brief_financial_information_sg.yaml" Data Alliance: Download Dataset API: title: Download Dataset API From 330e49a8fa6652ec13aa24208ea7886149269598 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 2 Oct 2020 17:39:39 +0530 Subject: [PATCH 0285/5916] Update d&b_basic_individual_search_sg.yaml --- yaml/d&b_basic_individual_search_sg.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/yaml/d&b_basic_individual_search_sg.yaml b/yaml/d&b_basic_individual_search_sg.yaml index bdd751a03..1883755f4 100644 --- a/yaml/d&b_basic_individual_search_sg.yaml +++ b/yaml/d&b_basic_individual_search_sg.yaml @@ -4,6 +4,7 @@ info: description: |+ This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily. version: '0.1' + x-subscribelink: d&b_basic_individual_search_sg servers: - url: 'https://api.sentient.io' tags: From c4e062767516274e6c41837113658da05c89c9a6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 2 Oct 2020 17:46:01 +0530 Subject: [PATCH 0286/5916] Update d&b_brief_financial_information_sg.yaml --- yaml/d&b_brief_financial_information_sg.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/yaml/d&b_brief_financial_information_sg.yaml b/yaml/d&b_brief_financial_information_sg.yaml index a9ed9eeda..8f9d5869c 100644 --- a/yaml/d&b_brief_financial_information_sg.yaml +++ b/yaml/d&b_brief_financial_information_sg.yaml @@ -3,6 +3,7 @@ info: title: D&B Brief Financial Information (SG) description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. version: '0.1' + x-subscribelink: d&b_brief_financial_information_sg servers: - url: 'https://api.sentient.io' tags: From 18931202cf6bb1218d86b3f35d403d84d4c09200 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 2 Oct 2020 17:46:38 +0530 Subject: [PATCH 0287/5916] Update d&b_business_check_plus_sg.yaml --- yaml/d&b_business_check_plus_sg.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/yaml/d&b_business_check_plus_sg.yaml b/yaml/d&b_business_check_plus_sg.yaml index b144b933a..7d221b019 100644 --- a/yaml/d&b_business_check_plus_sg.yaml +++ b/yaml/d&b_business_check_plus_sg.yaml @@ -3,6 +3,7 @@ info: title: D&B Business Check Plus (SG) description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace of a company including the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. version: '0.1' + x-subscribelink: d&b_business_check_plus_sg servers: - url: 'https://api.sentient.io' tags: From 80f5c3643eaf17dcd99a43a3c08530ebd9a9fd4a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 2 Oct 2020 17:47:45 +0530 Subject: [PATCH 0288/5916] Update d&b_business_check_sg.yaml --- yaml/d&b_business_check_sg.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/yaml/d&b_business_check_sg.yaml b/yaml/d&b_business_check_sg.yaml index f21fa7b75..ef145fd1a 100644 --- a/yaml/d&b_business_check_sg.yaml +++ b/yaml/d&b_business_check_sg.yaml @@ -4,6 +4,7 @@ info: description: |+ This Data microservice provides key business information of a Singapore-registered company includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. version: '0.1' + x-subscribelink: d&b_business_check_sg servers: - url: 'https://api.sentient.io' tags: From ae228c03a14f0e02e6e15770d155b5f9cd7ffca7 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 23:20:43 +1000 Subject: [PATCH 0289/5916] Delete BasicIndividualSearchDun&Bradstreet(SG).yaml --- ...sicIndividualSearchDun&Bradstreet(SG).yaml | 1294 ----------------- 1 file changed, 1294 deletions(-) delete mode 100644 yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml diff --git a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml b/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml deleted file mode 100644 index 6c49f430c..000000000 --- a/yaml/BasicIndividualSearchDun&Bradstreet(SG).yaml +++ /dev/null @@ -1,1294 +0,0 @@ -openapi: 3.0.1 -info: - title: Basic Individual Search Dun & Bradstreet (SG) - description: |+ - This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily. - version: '0.1' -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Jul 23, 2019" -paths: - /dnb/prod/sbis: - post: - tags: - - v0.1 - summary: Adds a new user - requestBody: - content: - application/xml: - schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: success response - content: - application/xml: - schema: - $ref: '#/components/schemas/success' - example: |+ - - 25/02/2009 17:31:44.678 - - - - - - 25/02/2009 17:31:44 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - S7250163B - - - - - S7250163B - - - - - - 1 1 1 1 1 1 1 1 1 1 1 1 2017 1 - - 0 0 0 0 0 0 0 0 0 0 0 0 2016 1 - - 0 0 0 0 0 0 0 0 0 0 0 0 2015 1 - - 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 - - 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 - - 0 0 0 0 0 0 0 0 0 0 0 - 0 2015 0 - - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [BASIC_INFO] - [LIT_SEARCH_INFO] - [LIST_CURRENT_COMP] - [LIST_PREVIOUS_COMP] - [LIST_BANKRUPTCY] - [LIST_LIT] - [LIST_LIT_DTL] - properties: - META_INFO: - type: object - example: |+ - - - - 25/02/2009 17:31:44.678 - - - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - properties: - SERVICE: - type: string - example: "BIS" - description: Report Requested - SYSTEM_ID : - type: string - example: "DDP" - description: System ID - CREATION_DATE: - type: datetime - example: "25/02/2009 17:31:44.678" - description: Report Request Date - USER_ID : - type: string - example: N/A - description: Valid user id in DDP system. It is for (For internal use) - BASIC_INFO : - type: object - description: |+ - Basic Information with following children: - PA_REG_NO - ADDRESS1 - ADDRESS2 - ADDRESS3 - example: |+ - - - - - - - properties: - PA_REG_NO : - type: string - description: Public Accountant Registration No. - example: "00091" - USER_ID : - type: string - example: N/A - description: Valid user id in DDP system. It is for (For internal use) - ADD_ADDRESS1: - type: string - description: Address Line 1 - example: "1 HARBOURFRONT AVENUE , 18 - 01" - USER_ID2 : - type: string - example: N/A - description: Valid user id in DDP system. It is for (For internal use) - ADDRESS2 : - type: string - description: Address 2 - example: "vvvvv" - ADDRESS3: - type: string - description: Address 3 - example: "470137, SINGAPORE" - LIT_SEARCH_INFO : - type: object - example: |+ - - - - - 25/02/2009 17:31:44 - - - - - description: |+ - Litigation search information with following children: - COMP_NAME - REG_NO - REPORT_TYPE - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK HOLDINGS PTE LTD" - REG_NO: - type: string - description: Company Registration No - example: "197803191K" - REPORT_TYPE: - type: string - description: Report Type - example: "BIS" - REQ_DATE: - type: datetime - description: Requested Date - example: "25/02/2009 17:31:44" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197803191K" - REQ_NAME: - type: string - description: Request Name - example: "LOY KOK TOON" - REQ_DATE_STR: - type: string - description: Request Date String - example: "25/02/2009 15:04:14" - LIST_CURRENT_COMP : - type: array - description: |+ - List of current companies with following children: - [CURRENT_COMP] - example: |+ - - - - - - - - - - - - - - - - - - - items: - properties: - CURRENT_COMP: - type: object - description: |+ - Current companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - PROFIT_VALUE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: |+ - - - - - - - - - - - - - - - - - properties: - POSITION: - type: string - description: Position - example: "OWNER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "01/09/1971" - COMP_NAME: - type: string - description: Company Name - example: "BAN HOE LEONG COMPANY" - SEQ_NO: - type: string - description: Company Registration No. - example: "03647300J" - SHARE_VALUE1: - type: string - description: Share Percentage - example: "15.00" - COMP_STATUS: - type: string - description: Company Status - example: "LIVE" - PROFIT_VALUE1: - type: string - description: Profit Making 1 - example: "2008 = -" - PROFIT_VALUE2: - type: string - description: Profit Making 2 - example: "2007 = -" - PROFIT_VALUE3: - type: string - description: Profit Making 3 - example: "2006 = -" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "150000" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "62992797" - SIC: - type: string - description: SIC Code - example: "5012" - SIC_DESC: - type: string - description: SIC Description - example: "Automobiles and other Motor Vehicles" - LIST_PREVIOUS_COMP: - type: array - example: |+ - - - - - - - - - - - - - - - - - description: |+ - List of previous companies with following children: - [PREVIOUS_COMP] - items: - properties: - PREVIOUS_COMP : - type: object - description: |+ - Previous companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - CESSATION_DATE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: |+ - - - - - - - - - - - - - - - properties: - POSITION : - type: string - description: Position - example: "SHAREHOLDER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "30/06/1988" - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK INDUSTRIES PTE LTD" - SEQ_NO: - type: string - description: Company Registration No. - example: "198101820Z" - SHARE_VALUE1: - type: string - description: Share Value Percentage - example: "100.00" - COMP_STATUS: - type: string - description: Company Status - example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" - CESSATION_DATE : - type: string - description: Cessation Date - example: "22/09/1992" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "390002" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "67467646" - SIC: - type: string - description: SIC Code - example: "2325" - SIC_DESC: - type: string - description: SIC Description - example: "Men’s and Boys’ Separate Trousers and Slacks" - LIST_BANKRUPTCY: - type: array - description: |+ - Bankruptcy/ Winding up with following children: - [BANKRUPTCY] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - items: - properties: - BANKRUPTCY : - type: object - description: |+ - Bankruptcy/Winding up detail with following children: - SUBJECT_NAME - COURT_CODE - CASE_CODE - CASE_YEAR - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - BANKRUPTCY_TYPE - [LIST_PLAINTIFF] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: - COURT_CODE: - type: string - description: Court Code - example: "CWU" - CASE_CODE: - type: string - description: Case Code - example: "381" - CASE_YEAR: - type: string - description: Case Year - example: "2000" - ACTION_DATE: - type: string - description: Action Date - example: "22/12/2000" - BANKRUPTCY_ACT: - type: string - description: Act of Bankruptcy - example: "Petition for Winding Up" - HEARING_DATE : - type: string - description: Hearing Date - example: "26/03/2009" - CURRENCY1: - type: string - description: Currency - example: - AMOUNT1: - type: string - description: Amount - example: "334,616.00" - CURRENCY2: - type: string - description: Currency - example: - AMOUNT2: - type: string - description: Amount - example: "0.00" - CURRENCY3: - type: string - description: Currency - example: - AMOUNT3: - type: string - description: Amount - example: "0.00" - BANKRUPTCY_TYPE: - type: string - description: Bankruptcy Type - example: "COMPANY WINDING UP PETITION" - LIST_PLAINTIFF: - type: array - description: |+ - List of Plaintiff with following children: - [PLAINTIFF] - example: |+ - - - - - - - - - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - example: |+ - - - - - - - properties: - PLA_NAME: - type: string - description: Pla. Name - example: "B 2003 P1" - PLA_SOLICITOR: - type: string - description: Pla. Solicitor - example: "PATRICK KHOO ENG HOCK" - PLA_SOLICITOR_ID: - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "RSP/292668/1" - LIST_LIT: - type: array - description: |+ - List of litigation with following children: - [LIT] - example: |+ - - - - - - - - items: - properties: - LIT: - type: object - description: |+ - Basic litigation info with following children: - SUBJECT_NAME - SEQ_NO - FORMATTED_ID - [LIST_LIT_DTL] - example: |+ - - - - - - properties: - SUBJECT_NAME: - type: string - description: Name - example: "ENG YICK HOLDINGS PTE LTD" - SEQ_NO: - type: integer - description: Sequence No. - example: 1 - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - LIST_LIT_DTL: - type: array - description: |+ - List of litigation detail with following children: - [LIT_DTL] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - - items: - properties: - LIT_DTL: - type: object - description: |+ - Litigation detail with following children: - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - FORMATTED_ID - DOC_REMARKS - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - CASE_STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - [LIST_PLAINTIFF] - [LIST_DEFENDANT] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - properties: - NATURE_OF_CLAIM: - type: string - description: Nature of Claim - example: "CONTRACTS-WORK DONE & SERVICES RENDERED" - STATUS_DATE: - type: string - description: Status Date - example: "13/08/2001" - CASE_NO: - type: string - description: Case No. - example: "MC 23631 / 2001" - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - DOC_REMARKS: - type: string - description: Document Remark - example: "WRIT OF SUMMONS" - CURRENCY1: - type: string - description: Currency 1 - example: "SIN" - CURRENCY2: - type: string - description: Currency 2 - example: - CURRENCY3: - type: string - description: Currency 3 - example: - CURRENCY4: - type: string - description: Currency 4 - example: - CURRENCY5: - type: string - description: Currency 5 - example: - CASE_STATUS: - type: string - description: Status - example: "PENDING AS AT STATUS DATE" - AMOUNT1: - type: string - description: Amount 1 - example: "36,196.00" - AMOUNT2: - type: string - description: Amount 2 - example: "0.00" - AMOUNT3: - type: string - description: Amount 3 - example: "0.00" - AMOUNT4: - type: string - description: Amount 4 - example: "0.00" - AMOUNT5: - type: string - description: Amount 5 - example: "0.00" - LIST_PLAINTIFF: - type: array - description: |+ - List of plaintiff with following children: - [PLAINTIFF] - example: |+ - - - - - - - - - - - - - S7250163B - - - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - LAW_FIRM - WRITE_DATE - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_STATUS - PLA_STATUS_DATE - PLA_ID - example: |+ - - - - - - - - - - - - S7250163B - - properties: - PLA_NAME: - type: string - description: Plaintiff Name - example: "ROTARY PILING PTE LTD" - LAW_FIRM: - type: string - description: Pla. Law Firm - example: "JOSEPH HOO MORRIS & KUMAR" - WRITE_DATE: - type: string - description: Writ date - example: "13/08/2001" - PLA_SOLICITOR: - type: string - description: Plaintiff Solicitor - example: "HOO JOSEPH" - PLA_SOLICITOR_ID: - type: string - description: Plaintiff Solicitor ID - example: "ORS" - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "CHH 6253 D27" - PLA_STATUS: - type: string - description: Plaintiff Status - example: - PLA_STATUS_DATE: - type: string - description: Plaintiff Status Date - example: - PLA_ID: - type: string - description: Plaintiff ID - example: "S7250163B" - LIST_DEFENDANT: - type: array - description: |+ - List of defendant with following children: - [DEFENDANT] - example: |+ - - - - - - - - - items: - properties: - DEFENDANT: - type: object - description: |+ - Defendant detail with following children: - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - example: |+ - - - - - - - properties: - DEF_SOLICITOR: - type: string - description: Def. Solicitor - example: - DEF_SOLICITOR_ID: - type: string - description: Def. Solicitor ID - example: N/A - DEF_LAW_FIRM: - type: string - description: Def. Law Firm - example: - DEF_FILE_REF: - type: string - description: Def. File Ref. - example: - LIST_Ddrptcount: - type: array - description: |+ - List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: - [Ddrptcount] - example: |+ - - - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 2017 - 1 - - - items: - properties: - Ddrptcount: - type: object - description: |+ - 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcyear - Rcsecflag - example: |+ - - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 2017 - 1 - - properties: - Rcjan: - type: integer - description: Count for January - example: "1" - Rcfeb: - type: integer - description: Count for February - example: "1" - Rcmar: - type: integer - description: Count for March - example: "1" - Rcapr: - type: integer - description: Count for April - example: "1" - Rcmay: - type: integer - description: Count for May - example: "1" - Rcjun: - type: integer - description: Count for June - example: "1" - Rcjul: - type: integer - description: Count for July - example: "1" - Rcaug: - type: integer - description: Count for August - example: "1" - Rcsep: - type: integer - description: Count for September - example: "1" - Rcoct: - type: integer - description: Count for October - example: "1" - Rcnov: - type: integer - description: Count for November - example: "1" - Rcdec: - type: integer - description: Count for December - example: "1" - Rcyear: - type: integer - description: To show the year - example: "1" - Rcsecflag: - type: integer - description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors - example: "1" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - REQUEST: - type: object - properties: - TOT_ITEMS: - type: number - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: - type: object - example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD - description: Contains information of each request details - default: true - properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 23, 2019 - description: Initial version release - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 7b4cbc53612ad78ddac7e230d18676d9fd91bf63 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 23:20:53 +1000 Subject: [PATCH 0290/5916] Delete BriefFinancialExtractionDun&Bradstreet(SG).yaml --- ...FinancialExtractionDun&Bradstreet(SG).yaml | 1383 ----------------- 1 file changed, 1383 deletions(-) delete mode 100644 yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml diff --git a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml b/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml deleted file mode 100644 index 13310d033..000000000 --- a/yaml/BriefFinancialExtractionDun&Bradstreet(SG).yaml +++ /dev/null @@ -1,1383 +0,0 @@ -openapi: 3.0.1 -info: - title: Brief Financial Extraction Dun & Bradstreet (SG) - description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. - version: '0.1' -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Jul 23, 2019" -paths: - /dnb/prod/sbfe: - post: - tags: - - v0.1 - summary: Adds a new user - requestBody: - content: - application/xml: - schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: success response - content: - application/xml: - schema: - $ref: '#/components/schemas/success' - example: |+ - - 25/02/2009 17:31:44> - - - 2009-04-21 10:56:06.716 - 2004 2003 2002 2005 - 2006 2007 2008 2009 2008 2007 2006 2005 2004 - - 9403795.00 8617168.00 7807393.00 31467.00 162620.00 1281387.00 31467.00 162620.00 1281387.00 0.00 0.00 60318.00> 31467.00 162620.00 1341705.00 3889213.00 3395740.00 4374368.00 3359007.00 2855754.00 3546381.00 530206.00 539986.00 827987.00> 7370430.00 6845490.00 7661498.00 6739073.00 6157560.00 6435365.00 631357.00 687930.00 122133.00 -3481217.00 -3449750.00 -3287130.00 2000000.00 2000000.00 2000000.00 0.00 0.00 0.00 5481217.00 5449750.00 5287130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - - 10877254.00 9982533.00 1121483.00 262632.00 1347380.00 262632.00 6562990.00 5424551.00 6283449.00 4948821.00 279541.00 475730.00 8434195.00 8643136.00 8434195.00 7933013.00 0.00 710123.00 -1871205.00 -3218585.00 2000000.00 2000000.00 0.00 0.00 -3,871,205.00 -5,218,585.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - 0.00 0.00 0.00 0.00 - - 12.39 2.63 0.00 0.00 0.00 20.53 4.84 0.00 0.00 0.00 -72.01 -8.16 -0.00 -0.00 -0.00 1.66 1.84 2.42 2.54 1.78 0.74 0.62 0.50 0.46 0.55 -28.51 -59.33 -89.51 -101.59 -75.15 128.51 168.27 189.51 201.59 175.15 - - 1121483.0 10877254 2008 - - 262632.0> 9982533 2007 - - -31467.0 9403795 2006 - - -162620.0 8617168 2005 - - -1281387.0 7807393 2004 - - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - description: |+ - Report details with following children: - [META_INFO] - [FH_SEARCH_INFO] - [FH_DTL] - [XBRL_DTL] - [FH_RATIO_DTL] - [LIST_FH_CHART_INFO] - example: - properties: - META_INFO: - type: object - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - example: |+ - - - - 25/02/2009 17:31:44> - - - properties: - SERVICE: - type: string - description: Report Requested - example: "BFE" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: string - description: Report Request Date - example: "25/02/2009 17:31:44" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - FH_SEARCH_INFO: - type: object - description: |+ - FH search information with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - FH_BEFORE_YR1 - FH_BEFORE_YR2 - FH_BEFORE_YR3 - FH_BEFORE_YR4 - FH_BEFORE_YR5 - FH_AFTER_YR1 - FH_AFTER_YR2 - FH_AFTER_YR3 - FH_AFTER_YR4 - FH_AFTER_YR5 - AC_RATIOS_YR1 - AC_RATIOS_YR2 - AC_RATIOS_YR3 - AC_RATIOS_YR4 - AC_RATIOS_YR5 - example: |+ - - - - 2009-04-21 10:56:06.716 - - - - 2004 - 2003 - 2002 - 2005 - 2006 - 2007 - 2008 - 2009 - 2008 - 2007 - 2006 - 2005 - 2004 - - properties: - COMP_NAME : - type: string - description: Company Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REG_NO : - type: string - description: Company Registration No - example: "200003058W" - REQ_DATE : - type: datetime - description: Requested Date - example: "2009-04-21 10:56:06.716" - REQ_REG_NO : - type: string - description: Request Registration Number - example: "200003058W" - REQ_NAME : - type: string - description: Request Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REQ_DATE_STR : - type: string - description: Request Date String - example: "21/04/2009 10:56:06" - FH_BEFORE_YR1 : - type: string - description: Financial Highlight filed before year 1 - example: "2004" - FH_BEFORE_YR2 : - type: string - description: Financial Highlight filed before year 2 - example: "2003" - FH_BEFORE_YR3 : - type: string - description: Financial Highlight filed before year 3 - example: "2002" - FH_AFTER_YR1: - type: string - description: Financial Highlight filed after year 1 - example: "2005" - FH_AFTER_YR2 : - type: string - description: Financial Highlight filed after year 2 - example: "2006" - FH_AFTER_YR3 : - type: string - description: Financial Highlight filed after year 3 - example: "2007" - FH_AFTER_YR4: - type: string - description: Financial Highlight filed after year 4 - example: "2008" - FH_AFTER_YR5: - type: string - description: Financial Highlight filed after year 5 - example: "2009" - AC_RATIOS_YR1 : - type: string - description: Account Ratio year 1 - example: "2008" - AC_RATIOS_YR2 : - type: string - description: Account Ratio year 2 - example: "2007" - AC_RATIOS_YR3 : - type: string - description: Account Ratio year 3 - example: "2006" - AC_RATIOS_YR4 : - type: string - description: Account Ratio year 4 - example: "2005" - AC_RATIOS_YR5 : - type: string - description: Account Ratio year 5 - example: "2004" - FH_DTL: - type: object - description: |+ - Financial Highlight with following children: - FH_YR1_CURR - TURNOVER1 - PL_BEF_TAX1 - PL_AFT_TAX1 - NETINC_NON_EXT1 - PL_AFT_TAX_EXT1 - TOT_ASSETS1 - TA_CURRENT1 - TA_FIXED1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - SH_FUNDS1 - SH_PAIDUP_CAPITAL1 - SH_RESERVES1 - SH_ACCUM_LOSS1 - GRP_TURNOVER1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_NETINC_NON_EXT1 - GRP_PL_AFT_TAX_EXT1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_FIXED1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_SH_FUNDS1 - GRP_SH_PAIDUP_CAPITAL1 - GRP_SH_RESERVES1 - GRP_SH_ACCUM_LOSS1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. - example: |+ - - - - - 9403795.00 - 8617168.00 - 7807393.00 - 31467.00 - 162620.00 - 1281387.00 - 31467.00 - 162620.00 - 1281387.00 - 0.00 - 0.00 - 60318.00> - 31467.00 - 162620.00 - 1341705.00 - 3889213.00 - 3395740.00 - 4374368.00 - 3359007.00 - 2855754.00 - 3546381.00 - 530206.00 - 539986.00 - 827987.00> - 7370430.00 - 6845490.00 - 7661498.00 - 6739073.00 - 6157560.00 - 6435365.00 - 631357.00 - 687930.00 - 122133.00 - -3481217.00 - -3449750.00 - -3287130.00 - 2000000.00 - 2000000.00 - 2000000.00 - 0.00 - 0.00 - 0.00 - 5481217.00 - 5449750.00 - 5287130.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - - - - - properties: - FH_YR1_CURR : - type: string - description: |+ - FH Before Year 1 Currency - Subsequent Years: - FH_YR2_CURR - FH_YR3_CURR - FH_YR4_CURR - FH_YR5_CURR - example: "(SGD)" - TURNOVER1 : - type: string - description: |+ - Turnover / Sales And Other Operating Revenues - Subsequent Years: - TURNOVER2 - TURNOVER3 - TURNOVER4 - TURNOVER5 - example: "9403795.00" - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: "31467.00" - PL_AFT_TAX1: - type: string - description: |+ - Profit / Loss After Tax - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: "31467.00" - NETINC_NON_EXT1: - type: string - description: |+ - Net Income / Loss From Extraordinary And Non- Operating Items - Subsequent Years: - NETINC_NON_EXT2 - NETINC_NON_EXT3 - NETINC_NON_EXT4 - NETINC_NON_EXT5 - example: "0.00" - PL_AFT_TAX_EXT1 : - type: string - description: |+ - Profit / Loss After Tax and Extraordinary Items - Subsequent Years: - PL_AFT_TAX_EXT2 - PL_AFT_TAX_EXT3 - PL_AFT_TAX_EXT4 - PL_AFT_TAX_EXT5 - example: "31467.00" - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: "3889213.00" - TA_CURRENT1 : - type: string - description: |+ - Total Assets - Current - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: "3359007.00" - TA_FIXED1 : - type: string - description: |+ - Total Assets – Fixed and Others - Subsequent Years: - TA_FIXED2 - TA_FIXED3 - TA_FIXED4 - TA_FIXED5 - example: "530206.00" - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: "7370430.00" - TL_CURRENT1 : - type: string - description: |+ - Total Liabilities - Current - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: "6739073.00" - TL_NON_CURRENT1 : - type: string - description: |+ - Total Liabilities – Non- Current & Long Term - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: "631357.00" - SH_FUNDS1: - type: string - description: |+ - Shareholder’s Fund - Subsequent Years: - SH_FUNDS2 - SH_FUNDS3 - SH_FUNDS4 - SH_FUNDS5 - example: "-3481217.00" - SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Shareholder’s Fund – Paid Up Capital - Subsequent Years: - SH_PAIDUP_CAPITAL2 - SH_PAIDUP_CAPITAL3 - SH_PAIDUP_CAPITAL4 - SH_PAIDUP_CAPITAL5 - example: "2000000.00" - SH_RESERVES1 : - type: string - description: |+ - Shareholder’s Fund - Reserves - Subsequent Years: - SH_RESERVES2 - SH_RESERVES3 - SH_RESERVES4 - SH_RESERVES5 - example: "0.00" - SH_ACCUM_LOSS1: - type: string - description: |+ - Shareholder’s Fund – Accumulated Loss - Subsequent Years: - SH_ACCUM_LOSS2 - SH_ACCUM_LOSS3 - SH_ACCUM_LOSS4 - SH_ACCUM_LOSS5 - example: "5481217.00" - GRP_TURNOVER1 : - type: string - description: |+ - Group Turnover / Sales and Other Operating Revenues - Subsequent Years: - GRP_TURNOVER2 - GRP_TURNOVER3 - GRP_TURNOVER4 - GRP_TURNOVER5 - example: "0.00" - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: "0.00" - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: "0.00" - GRP_NETINC_NON_EXT1 : - type: string - description: |+ - Group Net Income / Loss From Extraordinary and Non-Operating Items - Subsequent Years: - GRP_NETINC_NON_EXT2 - GRP_NETINC_NON_EXT3 - GRP_NETINC_NON_EXT4 - GRP_NETINC_NON_EXT5 - example: "0.00" - GRP_PL_AFT_TAX_EXT1: - type: string - description: |+ - Group Profit / Loss After Tax and Extraordinary items - Subsequent Years: - GRP_ PL_AFT_TAX_EXT2 - GRP_ PL_AFT_TAX_EXT3 - GRP_ PL_AFT_TAX_EXT4 - GRP_ PL_AFT_TAX_EXT5 - example: "0.00" - GRP_TOT_ASSETS1: - type: string - description: |+ - Group Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: "0.00" - GRP_TA_CURRENT1 : - type: string - description: |+ - Group Total Assets – Current - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT5 - example: "0.00" - GRP_TA_FIXED1 : - type: string - description: |+ - Group Total Assets – Fixed and Others - Subsequent Years: - GRP_TA_FIXED2 - GRP_TA_FIXED3 - GRP_TA_FIXED4 - GRP_TA_FIXED5 - example: "0.00" - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: "0.00" - GRP_TL_CURRENT1 : - type: string - description: |+ - Group Total Liabilities - Current - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: "0.00" - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group Total Liabilities – Non-Current & Long Term - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: "0.00" - GRP_SH_FUNDS1 : - type: string - description: |+ - Group Shareholder’s Fund - Subsequent Years: - GRP_ SH_FUNDS2 - GRP_ SH_FUNDS3 - GRP_ SH_FUNDS4 - GRP_ SH_FUNDS5 - example: "0.00" - GRP_SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Group Shareholder’s Fund – Paid Up Capital - Subsequent Years: - GRP_SH_PAIDUP_CAPITAL2 - GRP_SH_PAIDUP_CAPITAL3 - GRP_SH_PAIDUP_CAPITAL4 - GRP_SH_PAIDUP_CAPITAL5 - example: "0.00" - GRP_SH_RESERVES1: - type: string - description: |+ - Group Shareholder’s Fund - Reserves - Subsequent Years: - GRP_SH_RESERVES2 - GRP_SH_RESERVES3 - GRP_SH_RESERVES4 - GRP_SH_RESERVES5 - example: "0.00" - GRP_SH_ACCUM_LOSS1 : - type: string - description: |+ - Group Shareholder’s Fund – Accumulated Loss - Subsequent Years: - GRP_SH_ACCUM_LOSS2 - GRP_SH_ACCUM_LOSS3 - GRP_SH_ACCUM_LOSS4 - GRP_SH_ACCUM_LOSS5 - example: "0.00" - GRP_INDICATOR1 : - type: string - description: |+ - Company Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: "B" - XBRL_DTL: - type: object - description: |+ - XBRL filed after 1 Nov 2007 with following children: - XBRL_YR1_CURR - REVENUE1 - PL_BEF_TAX1 - PL_AFT_TAX1 - TOT_ASSETS1 - TA_CURRENT1 - TA_NON_CURRENT1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - TOT_EQUITY1 - EQ_SH_CAPITAL1 - EQ_RESERVES1 - EQ_RETAINED_EARN1 - GRP_REVENUE1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_NON_CURRENT1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_TOT_EQUITY1 - GRP_SH_CAPITAL1 - GRP_RESERVES1 - GRP_RETAINED_EARN1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. - example: |+ - - - - 10877254.00 - 9982533.00 - 1121483.00 - 262632.00 - 1347380.00 - 262632.00 - 6562990.00 - 5424551.00 - 6283449.00 - 4948821.00 - 279541.00 - 475730.00 - 8434195.00 - 8643136.00 - 8434195.00 - 7933013.00 - 0.00 - 710123.00 - -1871205.00 - -3218585.00 - 2000000.00 - 2000000.00 - 0.00 - 0.00 - -3,871,205.00 - -5,218,585.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - - - - - properties: - XBRL_YR1_CURR: - type: string - description: |+ - FH After Year 1 Currency - Subsequent Years: - XBRL_YR2_CURR - XBRL_YR3_CURR - XBRL_YR4_CURR - XBRL_YR5_CURR - example: "(SGD)" - REVENUE1 : - type: string - description: |+ - Revenue Amount - Subsequent Years: - REVENUE2 - REVENUE3 - REVENUE4 - REVENUE5 - example: "10877254.00" - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: "1121483.00" - PL_AFT_TAX1 : - type: string - description: |+ - Profit / Loss After Tax from Continuing Operations - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: "1347380.00" - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: "6562990.00" - TA_CURRENT1 : - type: string - description: |+ - Total Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: "6283449.00" - TA_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_NON_CURRENT2 - TA_NON_CURRENT3 - TA_NON_CURRENT4 - TA_NON_CURRENT5 - example: "279541.00" - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: "8434195.00" - TL_CURRENT1 : - type: string - description: |+ - Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: "8434195.00" - TL_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: "0.00" - TOT_EQUITY1 : - type: string - description: |+ - Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - TOT_EQUITY2 - TOT_EQUITY3 - TOT_EQUITY4 - TOT_EQUITY5 - example: "-1871205.00" - EQ_SH_CAPITAL1 : - type: string - description: |+ - Total Equity – Share Capital - Subsequent Years: - EQ_SH_CAPITAL2 - EQ_SH_CAPITAL3 - EQ_SH_CAPITAL4 - EQ_SH_CAPITAL5 - example: "2000000.00" - EQ_RESERVES1 : - type: string - description: |+ - Total Equity – Other Reserves - Subsequent Years: - EQ_RESERVES2 - EQ_RESERVES3 - EQ_RESERVES4 - EQ_RESERVES5 - example: "0.00" - EQ_RETAINED_EARN1 : - type: string - description: |+ - Total Equity – Retained Earnings (Accumulated Loss) - Subsequent Years: - EQ_RETAINED_EARN2 - EQ_RETAINED_EARN3 - EQ_RETAINED_EARN4 - EQ_RETAINED_EARN5 - example: "-3,871,205.00" - GRP_REVENUE1 : - type: string - description: |+ - Group’s Revenue Amount - Subsequent Years: - GRP_REVENUE2 - GRP_REVENUE3 - GRP_REVENUE4 - GRP_REVENUE5 - example: "0.00" - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: "0.00" - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax from Continuing Operations - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: "0.00" - GRP_TOT_ASSETS1 : - type: string - description: |+ - Group’s Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: "0.00" - GRP_TA_CURRENT1 : - type: string - description: |+ - Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT4 - example: "0.00" - GRP_TA_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_NON_CURRENT2 - GRP_TA_NON_CURRENT3 - GRP_TA_NON_CURRENT4 - GRP_TA_NON_CURRENT4 - example: "0.00" - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group’s Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: "0.00" - GRP_TL_CURRENT1 : - type: string - description: |+ - Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: "0.00" - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: "0.00" - GRP_TOT_EQUITY1 : - type: string - description: |+ - Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - GRP_TOT_EQUITY2 - GRP_TOT_EQUITY3 - GRP_TOT_EQUITY4 - GRP_TOT_EQUITY5 - example: "0.00" - GRP_SH_CAPITAL1 : - type: string - description: |+ - Group’s Share Capital - Subsequent Years: - GRP_SH_CAPITAL2 - GRP_SH_CAPITAL3 - GRP_SH_CAPITAL4 - GRP_SH_CAPITAL5 - example: "0.00" - GRP_RESERVES1 : - type: string - description: |+ - Group’s Other Reserves - Subsequent Years: - GRP_RESERVES2 - GRP_RESERVES3 - GRP_RESERVES4 - GRP_RESERVES5 - example: "0.00" - GRP_RETAINED_EARN1 : - type: string - description: |+ - Group’s – Retained Earnings (Accumulated Loss) - Subsequent Years: - GRP_RETAINED_EARN2 - GRP_RETAINED_EARN3 - GRP_RETAINED_EARN4 - GRP_RETAINED_EARN5 - example: "0.00" - GRP_INDICATOR1 : - type: string - description: |+ - XBRL Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: "B" - FH_RATIOS_DTL: - type: object - description: |+ - Accounting Ratios Details with following children: - RATE_NET_PROFIT1 - RET_INVESTMENT1 - RET_SH_FUNDS1 - TOT_ASSETS_TURNOVER1 - CURR_CAPITAL_RATIO1 - PROPRIETARY_RATIO1 - TOTAL_DEBT_RATIO1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. - example: |+ - - 12.39 - 2.63 - 0.00 - 0.00 - 0.00 - 20.53 - 4.84 - 0.00 - 0.00 - 0.00 - -72.01 - -8.16 - -0.00 - -0.00 - -0.00 - 1.66 - 1.84 - 2.42 - 2.54 - 1.78 - 0.74 - 0.62 - 0.50 - 0.46 - 0.55 - -28.51 - -59.33 - -89.51 - -101.59 - -75.15 - 128.51 - 168.27 - 189.51 - 201.59 - 175.15 - - properties: - RATE_NET_PROFIT1 : - type: string - description: |+ - Rate of Net Profit On Sales (%) - Subsequent Years: - RATE_NET_PROFIT2 - RATE_NET_PROFIT3 - RATE_NET_PROFIT4 - RATE_NET_PROFIT5 - example: "12.39" - RET_INVESTMENT1 : - type: string - description: |+ - Return of Investment (%) - Subsequent Years: - RET_INVESTMENT2 - RET_INVESTMENT3 - RET_INVESTMENT4 - RET_INVESTMENT5 - example: "20.53" - RET_SH_FUNDS1 : - type: string - description: |+ - Return of Shareholder’s Funds (%) - Subsequent Years: - RET_SH_FUNDS2 - RET_SH_FUNDS3 - RET_SH_FUNDS4 - RET_SH_FUNDS4 - example: "-72.01" - TOT_ASSETS_TURNOVER1 : - type: string - description: |+ - Total Assets Turnover (%) - Subsequent Years: - TOT_ASSETS_TURNOVER2 - TOT_ASSETS_TURNOVER3 - TOT_ASSETS_TURNOVER4 - TOT_ASSETS_TURNOVER5 - example: "1.66" - CURR_CAPITAL_RATIO1: - type: string - description: |+ - Current / Working Capital Ratio (%) - Subsequent Years: - CURR_CAPITAL_RATIO2 - CURR_CAPITAL_RATIO3 - CURR_CAPITAL_RATIO4 - CURR_CAPITAL_RATIO5 - example: "0.74" - PROPRIETARY_RATIO1: - type: string - description: |+ - Proprietary Ratio (%) 1 - Subsequent Years: - PROPRIETARY_RATIO2 - PROPRIETARY_RATIO3 - PROPRIETARY_RATIO4 - PROPRIETARY_RATIO5 - example: "-28.51" - TOTAL_DEBT_RATIO1 : - type: string - description: |+ - Total Debt to Equity Ratio (%) 1 - Subsequent Years: - TOTAL_DEBT_RATIO2 - TOTAL_DEBT_RATIO3 - TOTAL_DEBT_RATIO4 - TOTAL_DEBT_RATIO5 - example: "128.51" - LIST_FH_CHART_INFO : - type: array - example: |+ - - - 1121483.0 - 10877254 - 2008 - - - description: |+ - List of chart info with following children: - [FH_CHART_INFO] - items: - properties: - FH_CHART_INFO: - type: object - description: |+ - Chart Info info with following children: - YEAR - REVENUE - PROFIT_LOSS - properties: - PROFIT_LOSS: - type: string - example: "1121483.0" - description: Profit / Loss Before Tax of the year - REVENUE: - type: string - example: "10877254" - description: Revenue Amount of the year - YEAR: - type: string - example: "2008" - description: Financial Year - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - REQUEST: - type: object - properties: - TOT_ITEMS: - type: number - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: - type: object - example: |+ - <ENQUIRY>197601887ETRANSTAR TRAVEL PTE LTD</ENQUIRY> - description: Contains information of each request details - default: true - properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 23, 2019 - description: Initial version release - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 22148ad7dee9a8cc28569207ecd26120aba96737 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 23:21:04 +1000 Subject: [PATCH 0291/5916] Delete BusinessCheckDun&Bradstreet(SG).yaml --- yaml/BusinessCheckDun&Bradstreet(SG).yaml | 1122 --------------------- 1 file changed, 1122 deletions(-) delete mode 100644 yaml/BusinessCheckDun&Bradstreet(SG).yaml diff --git a/yaml/BusinessCheckDun&Bradstreet(SG).yaml b/yaml/BusinessCheckDun&Bradstreet(SG).yaml deleted file mode 100644 index 1d8950c0c..000000000 --- a/yaml/BusinessCheckDun&Bradstreet(SG).yaml +++ /dev/null @@ -1,1122 +0,0 @@ -openapi: 3.0.1 -info: - title: Business Check Dun & Bradstreet (SG) - description: |+ - This Data microservice provides key business information of a Singapore-registered company includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. - version: '0.1' -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Jul 23, 2019" -paths: - /dnb/prod/sbc: - post: - tags: - - v0.1 - summary: Adds a new user - requestBody: - content: - application/xml: - schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: success response - content: - application/xml: - schema: - $ref: '#/components/schemas/success' - example: |+ - string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string 0
string
- - string string string string string string string string string string string string string
string
- - string string string string string string string string string string string string string string string - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [REGISTRY_DETAIL] - [REQ_SEARCH_INFO] - [EMPLOYEE_SIZE] - [LIST_BIZ_BRANCH] - [LIST_REG_CHARGES] - [LIST_LIQUIDATOR] - [LIST_SHARE_INTEREST_COMP] - [LIST_NAME_CHANGE] - [LIST_SHAREHOLDER] - [LIST_CAPITAL] - [LIST_OFFICER_OWNER] - [LIST_SALES_REVENUE_AMOUNT] - properties: - META_INFO: - type: object - example: |+ - - - - - - - - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - CLASS - properties: - SERVICE: - type: string - description: Report requested - example: "BC" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: datetime - description: Report request date - example: "Wed Apr 08 11:37:51 MYT 2009" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: "N/A" - CLASS: - type: string - description: Class location for metabean. It is for (For internal use) - example: "N/A" - REGISTRY_DETAIL : - type: object - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - description: |+ - Registry Details with following children: - RENEWAL_DATE - ADDRESS1 - ADDRESS2 - ADDRESS3 - ADDRESS4 - COMP_TYPE_CODE - REG_DATE - REG_ACTIVITY1 - REG_ACTIVITY2 - ACC_DATE - STATUS_EFFECT_DATE - NAME_EFFECT_DATE - EXPIRY_DATE - COMP_TYPE - CHANGE_ADDR_DATE - COMP_STATUS - REG_ACTIVITY_DESC1 - REG_ACTIVITY_DESC2 - AUDITOR - AUDITOR_APPMT_DATE - LAST_AR_DATE - LAST_AGM_DATE - COUNTRY_INCORP - properties: - RENEWAL_DATE: - type: string - description: Renewal Date - example: "23/12/2008" - ADDRESS1: - type: string - description: Address Line 1 - example: "1 HARBOURFRONT AVENUE , 18 - 01" - ADDRESS2: - type: string - description: Address Line 2 - example: "KEPPEL BAY TOWER" - ADDRESS3: - type: string - description: Address Line 3 - example: "098632" - ADDRESS4: - type: string - description: Address Line 4 - example: "SINGAPORE" - COMP_TYPE_CODE: - type: string - example: CP - description: |+ - Report Code. Available values are: - 1. CP Corporate - 2. SP Sole Proprietor - REG_DATE: - type: string - description: Registration Date - example: "14/10/1974" - REG_ACTIVITY1: - type: string - description: Registered Activities 1 - example: "OTHER INVESTMENT HOLDING COMPANIES" - REG_ACTIVITY2: - type: string - description: Registered Activities 2 - example: "SHIP MANAGEMENT SERVICES" - ACC_DATE: - type: string - description: Account Date - example: "31/12/2007" - STATUS_EFFECT_DATE: - type: string - description: Status Effective Date - example: "14/10/1974" - NAME_EFFECT_DATE: - type: string - description: Name Effective Date - example: "14/10/1974" - EXPIRY_DATE: - type: string - description: Expiry Date - example: "25/10/2009" - COMP_TYPE: - type: string - description: Company Type - example: "LIMITED PRIVATE COMPANY" - CHANGE_ADDR_DATE: - type: string - description: Change Address Date - example: "09/05/2003" - COMP_STATUS: - type: string - description: Company Status - example: "Live Company" - REG_ACTIVITY_DESC1: - type: string - description: Registered Activities Description - example: - REG_ACTIVITY_DESC2: - type: string - description: Registered Activities Description - example: - AUDITOR: - type: string - description: Auditor Name - example: - AUDITOR_APPMT_DATE: - type: string - description: Auditor Appointment Date - example: "13/06/1990" - LAST_AR_DATE: - type: string - description: Date of Last AR - example: "30/06/2008" - LAST_AGM_DATE: - type: string - description: Date of Last AGM - example: "11/06/2008" - COUNTRY_INCORP: - type: string - description: Country Incorporated - example: "SINGAPORE" - REQ_SEARCH_INFO : - type: object - example: |+ - - - - - - - - - description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REG_NO: - type: string - description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "197401835M" - REQ_DATE: - type: string - description: Report Requested Date - example: "2009-04-08 11:36:03.611" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197401835M" - REQ_NAME: - type: string - description: Request Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REQ_DATE_STR: - type: string - description: Request Date String - example: "08/04/2009 11:36:03" - EMPLOYEE_SIZE : - type: object - description: |+ - Employee Size details with following children: - ELEMENTS - AMOUNT - example: |+ - - - 300 - - properties: - ELEMENTS: - type: string - description: Description - example: "Employee Size" - AMOUNT: - type: string - description: Number of employee - example: "300" - LIST_BIZ_BRANCH : - type: array - description: |+ - List of Business Branches with following children: - [BIZ_BRANCH] - example: |+ - - - - - - - properties: - BIZ_BRANCH : - type: object - description: |+ - Business Branches with following children: - ADDR_BUILDING - ADDR_POSTCODE - ADDR_ADDRESS1 - example: |+ - - - - - - properties: - ADDR_BUILDING: - type: string - description: Building Name - example: - ADDR_POSTCODE: - type: string - description: Postcode - example: 289848 - ADDR_ADDRESS1: - type: string - description: Address - example: 251A ARCADIA ROAD - LIST_REG_CHARGES: - type: array - description: |+ - List of Registered Charges with following children: - [REG_CHARGES] - example: |+ - - - - - - - - - - - items: - properties: - REG_CHARGES : - type: object - description: |+ - Registered Charges details with following children: - CHARGE_NO - CHARGE_DATE - CHARGEE_COMP - CURRENCY - AMT_SECURED - STATUS_SATISFACTION - example: |+ - - - - - - - - - properties: - CHARGE_NO : - type: string - description: Charge No. - example: 8205117 - CHARGE_DATE: - type: string - description: Charge Date - example: 26/11/1982 - CHARGEE_COMP: - type: string - description: Charges Company - example: UNITED OVERSEAS BANK LIMITED - CURRENCY: - type: string - description: Currency - example: - AMT_SECURED: - type: string - description: Amount Secured - example: 0.00 - STATUS_SATISFACTION: - type: string - description: Status of Satisfaction - example: - LIST_LIQUIDATOR: - type: array - description: |+ - List of Liquidator / Receiver / Judicial Manager with following children: - [LIQUIDATOR] - example: |+ - - - ABUTHAHIR ABDUL GAFOOR S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 - OUB CENTRE SINGAPORE 048616 30/03/2009 - - - items: - properties: - LIQUIDATOR : - type: object - description: |+ - Liquidator details with following children: - LIQ_POSITION - LIQ_ID - LIQ_NAME - LIQ_COMP - LIQ_ADDRESS1 - LIQ_ADDRESS2 - LIQ_ADDRESS3 - LIQ_ADDRESS4 - LIQ_APPOINTMENT_DATE - example: |+ - - ABUTHAHIR ABDUL GAFOOR - S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - 1 RAFFLES PLACE - #20-01 - OUB CENTRE - SINGAPORE 048616 - 30/03/2009 - - properties: - LIQ_POSITION: - type: string - description: Liquidator / Receiver / Judicial Manager Position - example: Liquidator - LIQ_ID: - type: string - description: Liquidator / Receiver / Judicial Manager ID - example: S1676216D - LIQ_NAME : - type: string - description: Liquidator / Receiver / Judicial Manager Name - example: ABUTHAHIR ABDUL GAFOOR - LIQ_COMP: - type: string - description: Liquidator / Receiver / Judicial Manager Company Name - example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: - type: string - description: Liquidator / Receiver / Judicial Manager Address 1 - example: 1 RAFFLES PLACE - LIQ_ADDRESS2: - type: string - description: Liquidator / Receiver / Judicial Manager Address 2 - example: #20-01 - LIQ_ADDRESS3: - type: string - description: Liquidator / Receiver / Judicial Manager Address 3 - example: OUB CENTRE - LIQ_ADDRESS4: - type: string - description: Liquidator / Receiver / Judicial Manager Address 4 - example: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: - type: string - description: Liquidator / Receiver / Judicial Manager Appointment Date - example: 30/03/2009 - LIST_SHARE_INTEREST_COMP : - type: array - description: |+ - List of Share Interest In Companies with following children: - [SHARE_INTEREST_COMP] - example: |+ - - - - - - - - - items: - properties: - SHARE_INTEREST_COMP : - type: object - description: |+ - Share Interest In Companies details with following children: - COMP_NAME - SHARE_OWNED_UNIT - SHARE_OWNED_PERCENT - STATUS - example: |+ - - - - - - - properties: - COMP_NAME : - type: string - description: Company Name - example: ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT : - type: string - description: Shares Owned Unit - example: 500000 - SHARE_OWNED_PERCENT : - type: string - description: Shares Owned Value (%) - example: 100.00 - STATUS : - type: string - description: Status - example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE : - type: array - description: |+ - List of Change of Company/Business Name(s) with following children: - [NAME_CHANGE] - example: |+ - - - - - - - items: - properties: - NAME_CHANGE : - type: object - description: |+ - Change of Company/Business Name(s) with following children: - PREV_NAME - EFFECT_DATE - example: |+ - - - - - properties: - PREV_NAME : - type: string - description: Previous Name - example: HUA XI EATING HOUSE - EFFECT_DATE : - type: string - description: Effective Date - example: 25/10/1997 00:00:00 - LIST_SHAREHOLDER : - type: array - description: |+ - List of Shareholders with following children: - [SHAREHOLDER] - example: |+ - - -
- - - - - - - - - - items: - properties: - SHAREHOLDER : - type: object - description: |+ - Shareholders details with following children: - ADDRESS - COMP_ID - NO_OF_SHARE - CURRENCY - SHAREHOLDER_TYPE - SHARE_TYPE - SHAREHOLDER_NAME - CHANGE_ADDR_DATE - ADDR_TYPE - NATIONALITY - example: |+ - -
- - - - - - - - - - - properties: - ADDRESS : - type: string - description: Address - example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID : - type: string - description: Company/ Identity No. - example: 198200406H - NO_OF_SHARE : - type: string - description: No. of Shares - example: 657 - CURRENCY : - type: string - description: Currency - example: UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE : - type: string - description: Indicator for Shareholder type - example: 2 - SHARE_TYPE : - type: string - description: Share Type - example: Preference - SHAREHOLDER_NAME : - type: string - description: Shareholder Name - example: KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 09/05/2003 - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE - LIST_CAPITAL : - type: array - description: |+ - List of Capital details with following children: - [CAPITAL] - example: |+ - - - - - - - - - - items: - properties: - CAPITAL : - type: object - description: |+ - Capital details with following children: - CAPITAL_CATEGORY - CAPITAL_TYPE - CURRENCY - CAPITAL_AMT - NO_OF_SHARES - example: |+ - - - - - - - - properties: - CAPITAL_CATEGORY : - type: string - description: Capital Category - example: Issued - CAPITAL_TYPE : - type: string - description: Capital Type - example: Ordinary - CURRENCY : - type: string - description: Currency - example: SINGAPORE, DOLLARS - CAPITAL_AMT : - type: string - description: Capital Amount - example: 100,000.00 - NO_OF_SHARES : - type: string - description: Nos. of Shares - example: 100,000 - LIST_OFFICER_OWNER : - type: array - description: |+ - List of Officer(s) / Owner(s) with following children: - [OFFICER_OWNER] - example: |+ - - -
- - - - - - - - items: - properties: - OFFICER_OWNER : - type: object - description: |+ - Officer(s) / Owner(s) details with following children: - ADDRESS - IDENTITY_ID - PA_REG_NO - POSITION - ADDR_TYPE - CESSATION_DATE - OFFICER_NAME - CHANGE_ADDR_DATE - APPMT_DATE - NATIONALITY - example: |+ - -
- - - - - - - - - - properties: - ADDRESS : - type: string - description: Address - example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE - IDENTITY_ID : - type: string - description: Identity No. - example: S1674174D - PA_REG_NO : - type: string - description: Public Accountant Registration No. - example: 00091 - POSITION : - type: string - description: Position - example: DIRECTOR - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: S - CESSATION_DATE : - type: string - description: Cessation Date - example: 30/10/2003 - OFFICER_NAME : - type: string - description: Officer Name - example: HENRY GOH - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 30/10/2003 - APPMT_DATE : - type: string - description: Appointment Date - example: 30/10/2003 - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT : - type: array - description: |+ - List of Sales Revenue Amount with following children: - [SALES_REVENUE_AMOUNT] - example: |+ - - - 30000.00 - - - items: - properties: - SALES_REVENUE_AMOUNT : - type: object - description: |+ - Sales Revenue Amount details with following children: - ELEMENTS - YEAR - CURRENCY - AMOUNT - example: |+ - - - - - 30000.00 - - properties: - ELEMENTS : - type: string - description: Description - example: Sales Revenue Amount - YEAR : - type: integer - description: Year - example: 2008 - CURRENCY : - type: string - description: Currency - example: SGD - AMOUNT : - type: integer - description: Amount - example: 30000.00 - LIST_Ddrptcount : - type: array - description: |+ - List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: - [Ddrptcount] - example: - items: - properties: - Ddrptcount : - type: object - description: |+ - 6 XML tags (open then close) displays - Search By Financial Sectors (counts for 3 recent years) - Search By Non- Financial Sectors (counts for 3 recent years) - Following children are: - Rcyear - RcFlag (only respond for the year exists) - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) - Rcsecflag - LastUpdateDate (only respond for the year exists) - example: - properties: - Rcyear : - type: string - description: To show the year - example: 2017 - RcFlag : - type: string - description: Internal database value - example: N/A - Rcjan : - type: integer - description: Count for January - example: 1 - Rcfeb : - type: integer - description: Count for February - example: 1 - Rcmar : - type: integer - description: Count for March - example: 1 - Rcapr : - type: integer - description: Count for April - example: 1 - Rcmay : - type: integer - description: Count for May - example: 1 - Rcjun : - type: integer - description: Count for June - example: 1 - Rcjul : - type: integer - description: Count for July - example: 1 - Rcaug : - type: integer - description: Count for August - example: 1 - Rcsep : - type: integer - description: Count for September - example: 1 - Rcoct : - type: integer - description: Count for October - example: 1 - Rcnov : - type: integer - description: Count for November - example: 1 - Rcdec : - type: integer - description: Count for December - example: 1 - Rcid : - type: integer - description: Internal database value - example: - Rcreg : - type: string - description: Company Registration Number - example: - Rcrptyid : - type: string - description: Product Type - example: - Rcsecflag : - type: integer - description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: 1 - LastUpdateDate : - type: string - description: Last update date - example: - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - REQUEST: - type: object - properties: - TOT_ITEMS: - type: number - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: - type: object - example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD - description: Contains information of each request details - default: true - properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 23, 2019 - description: Initial version release - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 5704876118279cee12907277ab29cd7a22853c59 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 23:21:14 +1000 Subject: [PATCH 0292/5916] Delete BusinessCheckPlusDun&Bradstreet(SG).yaml --- yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml | 1665 ----------------- 1 file changed, 1665 deletions(-) delete mode 100644 yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml diff --git a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml b/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml deleted file mode 100644 index 71dce2d07..000000000 --- a/yaml/BusinessCheckPlusDun&Bradstreet(SG).yaml +++ /dev/null @@ -1,1665 +0,0 @@ -openapi: 3.0.1 -info: - title: Business Check Plus Dun & Bradstreet (SG) - description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace of a company including the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. - version: '0.1' -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Jul 23, 2019" -paths: - /dnb/prod/sbcp: - post: - tags: - - v0.1 - summary: Adds a new user - requestBody: - content: - application/xml: - schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: success response - content: - application/xml: - schema: - $ref: '#/components/schemas/success' - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 300 - - - - - - - - - - - - - - - - - - - - - - - ABUTHAHIR ABDUL GAFOOR S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 - OUB CENTRE SINGAPORE 048616 30/03/2009 - - ANGELA ANG - S1633336D - Liquidator - KING FINANCIAL ADVISORY SERVICES LEVEL 17 MLC CENTRE 19029 MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA 18/02/2009 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - -
- - - - - - -
- - - - - - - - - 30000.00 - - 28000.00 - - 27,000.00 - - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [REGISTRY_DETAIL] - [REQ_SEARCH_INFO] - [EMPLOYEE_SIZE] - [LIST_BIZ_BRANCH] - [LIST_REG_CHARGES] - [LIST_LIQUIDATOR] - [LIST_WINDING_UP] - [LIST_LITIGATION] - [LIST_SHARE_INTEREST_COMP] - [LIST_NAME_CHANGE] - [LIST_SHAREHOLDER] - [LIST_CAPITAL] - [LIST_OFFICER_OWNER] - [LIST_SALES_REVENUE_AMOUNT] - properties: - META_INFO: - type: object - example: |+ - - - - - - - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - CLASS - properties: - SERVICE: - type: string - description: Report requested - example: "BCP" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: string - description: Report request date - example: "Wed Apr 08 11:37:51 MYT 2009" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - CLASS: - type: string - description: Class location for metabean. It is for (For internal use) - example: N/A - REGISTRY_DETAIL : - type: object - example: |+ - - - - - - - - - - - - - - - - - - - - - - description: |+ - Registry Details with following children: - RENEWAL_DATE - ADDRESS1 - ADDRESS2 - ADDRESS3 - ADDRESS4 - COMP_TYPE_CODE - REG_DATE - REG_ACTIVITY1 - REG_ACTIVITY2 - ACC_DATE - STATUS_EFFECT_DATE - NAME_EFFECT_DATE - EXPIRY_DATE - COMP_TYPE - CHANGE_ADDR_DATE - COMP_STATUS - REG_ACTIVITY_DESC1 - REG_ACTIVITY_DESC2 - AUDITOR - AUDITOR_APPMT_DATE - LAST_AR_DATE - LAST_AGM_DATE - COUNTRY_INCORP - properties: - RENEWAL_DATE: - type: string - description: Renewal Date - example: "23/12/2008" - ADDRESS1: - type: string - description: Address Line 1 - example: "1 HARBOURFRONT AVENUE , 18 - 01" - ADDRESS2: - type: string - description: Address Line 2 - example: "KEPPEL BAY TOWER" - ADDRESS3: - type: string - description: Address Line 3 - example: "098632" - ADDRESS4: - type: string - description: Address Line 4 - example: "SINGAPORE" - COMP_TYPE_CODE: - type: string - example: CP - description: |+ - Report Code. Available values are: - 1. CP Corporate - 2. SP Sole Proprietor - REG_DATE: - type: string - description: Registration Date - example: "14/10/1974" - REG_ACTIVITY1: - type: string - description: Registered Activities 1 - example: "OTHER INVESTMENT HOLDING COMPANIES" - REG_ACTIVITY2: - type: string - description: Registered Activities 2 - example: "SHIP MANAGEMENT SERVICES" - ACC_DATE: - type: string - description: Account Date - example: "31/12/2007" - STATUS_EFFECT_DATE: - type: string - description: Status Effective Date - example: "14/10/1974" - NAME_EFFECT_DATE: - type: string - description: Name Effective Date - example: "14/10/1974" - EXPIRY_DATE: - type: string - description: Expiry Date - example: "25/10/2009" - COMP_TYPE: - type: string - description: Company Type - example: "LIMITED PRIVATE COMPANY" - CHANGE_ADDR_DATE: - type: string - description: Change Address Date - example: "09/05/2003" - COMP_STATUS: - type: string - description: Company Status - example: "Live Company" - REG_ACTIVITY_DESC1: - type: string - description: Registered Activities Description - example: - REG_ACTIVITY_DESC2: - type: string - description: Registered Activities Description - example: - AUDITOR: - type: string - description: Auditor Name - example: - AUDITOR_APPMT_DATE: - type: string - description: Auditor Appointment Date - example: "13/06/1990" - LAST_AR_DATE: - type: string - description: Date of Last AR - example: "30/06/2008" - LAST_AGM_DATE: - type: string - description: Date of Last AGM - example: "11/06/2008" - COUNTRY_INCORP: - type: string - description: Country Incorporated - example: "SINGAPORE" - REQ_SEARCH_INFO : - type: object - example: |+ - - - - - - - description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REG_NO: - type: string - description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "197401835M" - REQ_DATE: - type: string - description: Report Requested Date - example: "2009-04-08 11:36:03.611" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197401835M" - REQ_NAME: - type: string - description: Request Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REQ_DATE_STR: - type: string - description: Request Date String - example: "08/04/2009 11:36:03" - EMPLOYEE_SIZE : - type: object - description: |+ - Employee Size details with following children: - ELEMENTS - AMOUNT - example: |+ - - - 300 - - properties: - ELEMENTS: - type: string - description: Description - example: "Employee Size" - AMOUNT: - type: string - description: Number of employee - example: "300" - LIST_BIZ_BRANCH : - type: array - description: |+ - List of Business Branches with following children: - [BIZ_BRANCH] - example: |+ - - - - - - - items: - properties: - BIZ_BRANCH : - type: object - description: |+ - Business Branches with following children: - ADDR_BUILDING - ADDR_POSTCODE - ADDR_ADDRESS1 - example: |+ - - - - - - properties: - ADDR_BUILDING: - type: string - description: Building Name - example: - ADDR_POSTCODE: - type: string - description: Postcode - example: 289848 - ADDR_ADDRESS1: - type: string - description: Address - example: 251A ARCADIA ROAD - LIST_REG_CHARGES: - type: array - description: |+ - List of Registered Charges with following children: - [REG_CHARGES] - example: |+ - - - - - - - - - - items: - properties: - REG_CHARGES : - type: object - description: |+ - Registered Charges details with following children: - CHARGE_NO - CHARGE_DATE - CHARGEE_COMP - CURRENCY - AMT_SECURED - STATUS_SATISFACTION - example: |+ - - - - - - - - - properties: - CHARGE_NO : - type: string - description: Charge No. - example: 8205117 - CHARGE_DATE: - type: string - description: Charge Date - example: 26/11/1982 - CHARGEE_COMP: - type: string - description: Charges Company - example: UNITED OVERSEAS BANK LIMITED - CURRENCY: - type: string - description: Currency - example: - AMT_SECURED: - type: string - description: Amount Secured - example: 1000.00 - STATUS_SATISFACTION: - type: string - description: Status of Satisfaction - example: - LIST_LIQUIDATOR: - type: array - description: |+ - List of Liquidator / Receiver / Judicial Manager with following children: - [LIQUIDATOR] - example: |+ - - - ABUTHAHIR ABDUL GAFOOR S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 - OUB CENTRE SINGAPORE 048616 30/03/2009 - - - items: - properties: - LIQUIDATOR : - type: object - description: |+ - Liquidator details with following children: - LIQ_POSITION - LIQ_ID - LIQ_NAME - LIQ_COMP - LIQ_ADDRESS1 - LIQ_ADDRESS2 - LIQ_ADDRESS3 - LIQ_ADDRESS4 - LIQ_APPOINTMENT_DATE - example: |+ - - ABUTHAHIR ABDUL GAFOOR - S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - 1 RAFFLES PLACE - #20-01 - OUB CENTRE - SINGAPORE 048616 - 30/03/2009 - - properties: - LIQ_POSITION: - type: string - description: Liquidator / Receiver / Judicial Manager Position - example: Liquidator - LIQ_ID: - type: string - description: Liquidator / Receiver / Judicial Manager ID - example: S1676216D - LIQ_NAME : - type: string - description: Liquidator / Receiver / Judicial Manager Name - example: ABUTHAHIR ABDUL GAFOOR - LIQ_COMP: - type: string - description: Liquidator / Receiver / Judicial Manager Company Name - example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: - type: string - description: Liquidator / Receiver / Judicial Manager Address 1 - example: 1 RAFFLES PLACE - LIQ_ADDRESS2: - type: string - description: Liquidator / Receiver / Judicial Manager Address 2 - example: #20-01 - LIQ_ADDRESS3: - type: string - description: Liquidator / Receiver / Judicial Manager Address 3 - example: OUB CENTRE - LIQ_ADDRESS4: - type: string - description: Liquidator / Receiver / Judicial Manager Address 4 - example: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: - type: string - description: Liquidator / Receiver / Judicial Manager Appointment Date - example: 30/03/2009 - LIST_WINDING_UP : - type: array - description: |+ - List of Winding Up with following children: - [WINDING_UP] - example: |+ - - - - - - - - - - - - - - - - - - - - - items: - properties: - WINDING_UP : - type: object - description: |+ - Winding Up details with following children: - CASE_CODE - CASE_YEAR - PLAINTIFF - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_LAW_FIRM - SUBJECT_NAME - COURT_CODE - CASE_TYPE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - PLA_SOLICITOR - example: |+ - - - - - - - - - - - - - - - - - - - - properties: - CASE_CODE : - type: string - description: Case Code - example: 40000 - CASE_YEAR : - type: string - description: Case Year - example: 1999 - PLAINTIFF : - type: string - description: Plaintiff Name - example: - PLA_SOLICITOR_ID : - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF : - type: string - description: Pla. File Ref. - example: - PLA_LAW_FIRM : - type: string - description: Pla. Law Firm - example: NAME2 - SUBJECT_NAME : - type: string - description: Subject Name - example: PROACTIVE BUILDERS - COURT_CODE : - type: string - description: Court Code - example: CWU - CASE_TYPE : - type: string - description: Case Type - example: COMPANY WINDING UP PETITION - CURRENCY1 : - type: string - description: Currency 1 - example: SGD - AMOUNT1 : - type: string - description: Amount 1 - example: 41,424.52 - CURRENCY2 : - type: string - description: Currency 2 - example: MYR - AMOUNT2 : - type: string - description: Amount 2 - example: 0.00 - CURRENCY3 : - type: string - description: Currency 3 - example: - AMOUNT3 : - type: string - description: Amount 3 - example: 0.00 - ACTION_DATE : - type: string - description: Action Date - example: 11/05/2007 - BANKRUPTCY_ACT : - type: string - description: Act of Bankruptcy - example: Petition for Winding Up - HEARING_DATE : - type: string - description: Hearing Date - example: 15/12/2007 - PLA_SOLICITOR : - type: string - description: Pla. Solicitor - example: - LIST_LITIGATION : - type: array - description: |+ - List of Winding Up with following children: - [LITIGATION] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - items: - properties: - LITIGATION : - type: object - description: |+ - List of Winding Up with following children: - SUBJECT_NAME - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - DOC_REMARK - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - DATE_OF_WRIT - STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - PLAINTIFF - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_LAW_FIRM - PLA_FILE_REF - PLA_ID - PLA_STATUS - PLA_STATUS_DATE - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: "SOON SOON SEAFOOD" - NATURE_OF_CLAIM : - type: string - example: "CONTRACT 3" - description: Nature of Claim - STATUS_DATE : - type: string - example: "01/05/2008" - description: Status Date - CASE_NO : - type: string - example: "MC 40001 / 1999" - description: Case No - DOC_REMARKS : - type: string - example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" - description: Document Remark - CURRENCY1 : - type: string - example: "SGD" - description: Currency 1 - CURRENCY2 : - type: string - example: "MYR" - description: Currency 2 - CURRENCY3 : - type: string - example: "USD" - description: Currency 3 - CURRENCY4 : - type: string - example: "-" - description: Currency 4 - CURRENCY5 : - type: string - example: "-" - description: Currency 5 - DEF_SOLICITOR : - type: string - example: "SOL2" - description: Def. Solicitor - DEF_SOLICITOR_ID : - type: string - example: "20000000" - description: Def. Solicitor ID - DEF_LAW_FIRM : - type: string - example: "NAME2" - description: Def. Law Firm - DEF_FILE_REF : - type: string - example: "FILE2" - description: Def. File Ref. - DATE_OF_WRIT : - type: string - example: "01/01/2008" - description: Date Writ - STATUS : - type: string - example: "CONCLUDED 3" - description: Status - AMOUNT1 : - type: string - example: "100.00" - description: Amount 1 - AMOUNT2 : - type: string - example: "200.00" - description: Amount 2 - AMOUNT3 : - type: string - example: "0.00" - description: Amount 3 - AMOUNT4 : - type: string - example: "400.00" - description: Amount 4 - AMOUNT5 : - type: string - example: "0.00" - description: Amount 5 - PLAINTIFF : - type: string - example: "MC 40001" - description: Plaintiff Name - PLA_SOLICITOR: - type: string - example: "SOL2" - description: plantiff Solicitor - PLA_SOLICITOR_ID: - type: string - example: "20000000" - description: plantiff Solicitor ID - PLA_LAW_FIRM : - type: string - example: "NAME2" - description: Pla. Law Firm - PLA_FILE_REF : - type: string - example: "FILE2" - description: Pla. File Ref. - PLA_ID: - type: string - example: "S0739038F" - description: Plaintiff ID - PLA_STATUS: - type: string - example: "SETTLED - BEFORE SET DOWN" - description: Plaintiff Status - PLA_STATUS_DATE : - type: string - example: "17/10/2016" - description: Plaintiff Status Date - LIST_SHARE_INTEREST_COMP : - type: array - description: |+ - List of Share Interest In Companies with following children: - [SHARE_INTEREST_COMP] - example: |+ - - - - - - - - - items: - properties: - SHARE_INTEREST_COMP : - type: object - description: |+ - Share Interest In Companies details with following children: - COMP_NAME - SHARE_OWNED_UNIT - SHARE_OWNED_PERCENT - STATUS - example: |+ - - - - - - - properties: - COMP_NAME : - type: string - description: Company Name - example: ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT : - type: string - description: Shares Owned Unit - example: 500000 - SHARE_OWNED_PERCENT : - type: string - description: Shares Owned Value (%) - example: 100.00 - STATUS : - type: string - description: Status - example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE : - type: array - description: |+ - List of Change of Company/Business Name(s) with following children: - [NAME_CHANGE] - example: |+ - - - - - - - items: - properties: - NAME_CHANGE : - type: object - description: |+ - Change of Company/Business Name(s) with following children: - PREV_NAME - EFFECT_DATE - example: |+ - - - - - properties: - PREV_NAME : - type: string - description: Previous Name - example: HUA XI EATING HOUSE - EFFECT_DATE : - type: string - description: Effective Date - example: 25/10/1997 00:00:00 - LIST_SHAREHOLDER : - type: array - description: |+ - List of Shareholders with following children: - [SHAREHOLDER] - example: |+ - - -
- - - - - - - - - - items: - properties: - SHAREHOLDER : - type: object - description: |+ - Shareholders details with following children: - ADDRESS - COMP_ID - NO_OF_SHARE - CURRENCY - SHAREHOLDER_TYPE - SHARE_TYPE - SHAREHOLDER_NAME - CHANGE_ADDR_DATE - ADDR_TYPE - NATIONALITY - example: |+ - -
- - - - - - - - - - - properties: - ADDRESS : - type: string - description: Address - example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID : - type: string - description: Company/ Identity No. - example: 198200406H - NO_OF_SHARE : - type: string - description: No. of Shares - example: 657 - CURRENCY : - type: string - description: Currency - example: UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE : - type: string - description: Indicator for Shareholder type - example: 2 - SHARE_TYPE : - type: string - description: Share Type - example: Preference - SHAREHOLDER_NAME : - type: string - description: Shareholder Name - example: KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 09/05/2003 - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE - LIST_CAPITAL : - type: array - description: |+ - List of Capital details with following children: - [CAPITAL] - example: |+ - - - - - - - - - - items: - properties: - CAPITAL : - type: object - description: |+ - Capital details with following children: - CAPITAL_CATEGORY - CAPITAL_TYPE - CURRENCY - CAPITAL_AMT - NO_OF_SHARES - example: |+ - - - - - - - - properties: - CAPITAL_CATEGORY : - type: string - description: Capital Category - example: Issued - CAPITAL_TYPE : - type: string - description: Capital Type - example: Ordinary - CURRENCY : - type: string - description: Currency - example: SINGAPORE, DOLLARS - CAPITAL_AMT : - type: string - description: Capital Amount - example: 100,000.00 - NO_OF_SHARES : - type: string - description: Nos. of Shares - example: 100,000 - LIST_OFFICER_OWNER : - type: array - description: |+ - List of Officer(s) / Owner(s) with following children: - [OFFICER_OWNER] - example: |+ - - -
- - - - - - - - items: - properties: - OFFICER_OWNER : - type: object - description: |+ - Officer(s) / Owner(s) details with following children: - ADDRESS - IDENTITY_ID - PA_REG_NO - POSITION - ADDR_TYPE - CESSATION_DATE - OFFICER_NAME - CHANGE_ADDR_DATE - APPMT_DATE - NATIONALITY - example: |+ - -
- - - - - - - - - - properties: - ADDRESS : - type: string - description: Address - example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE - IDENTITY_ID : - type: string - description: Identity No. - example: S1674174D - PA_REG_NO : - type: string - description: Public Accountant Registration No. - example: 00091 - POSITION : - type: string - description: Position - example: DIRECTOR - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: S - CESSATION_DATE : - type: string - description: Cessation Date - example: 30/10/2003 - OFFICER_NAME : - type: string - description: Officer Name - example: HENRY GOH - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 30/10/2003 - APPMT_DATE : - type: string - description: Appointment Date - example: 30/10/2003 - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT : - type: array - description: |+ - List of Sales Revenue Amount with following children: - [SALES_REVENUE_AMOUNT] - example: |+ - - - 30000.00 - - - items: - properties: - SALES_REVENUE_AMOUNT : - type: object - description: |+ - Sales Revenue Amount details with following children: - ELEMENTS - YEAR - CURRENCY - AMOUNT - example: |+ - - - - - 30000.00 - - properties: - ELEMENTS : - type: string - description: Description - example: Sales Revenue Amount - YEAR : - type: string - description: Year - example: 2008 - CURRENCY : - type: string - description: Currency - example: SGD - AMOUNT : - type: string - description: Amount - example: 30000.00 - LIST_Ddrptcount : - type: array - description: |+ - List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: - [Ddrptcount] - example: - items: - properties: - Ddrptcount : - type: object - description: |+ - 6 XML tags (open then close) displays - Search By Financial Sectors (counts for 3 recent years) - Search By Non- Financial Sectors (counts for 3 recent years) - Following children are: - Rcyear - RcFlag (only respond for the year exists) - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) - Rcsecflag - LastUpdateDate (only respond for the year exists) - example: - properties: - Rcyear : - type: string - description: To show the year - example: 2017 - RcFlag : - type: string - description: Internal database value - example: N/A - Rcjan : - type: string - description: Count for January - example: 1 - Rcfeb : - type: string - description: Count for February - example: 1 - Rcmar : - type: string - description: Count for March - example: 1 - Rcapr : - type: string - description: Count for April - example: 1 - Rcmay : - type: string - description: Count for May - example: 1 - Rcjun : - type: string - description: Count for June - example: 1 - Rcjul : - type: string - description: Count for July - example: 1 - Rcaug : - type: string - description: Count for August - example: 1 - Rcsep : - type: string - description: Count for September - example: 1 - Rcoct : - type: string - description: Count for October - example: - Rcnov : - type: string - description: Count for November - example: 1 - Rcdec : - type: string - description: Count for December - example: 1 - Rcid : - type: string - description: Internal database value - example: - Rcreg : - type: string - description: Company Registration Number - example: - Rcrptyid : - type: string - description: Product Type - example: - Rcsecflag : - type: string - description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: 1 - LastUpdateDate : - type: string - description: Last update date - example: - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - REQUEST: - type: object - properties: - TOT_ITEMS: - type: number - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: - type: object - example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD - description: Contains information of each request details - default: true - properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 23, 2019 - description: Initial version release - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 54aada6ef6d7c338186eb888d632d4ab143400e3 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 23:21:49 +1000 Subject: [PATCH 0293/5916] Delete Automatic-Speech-Recognition-CHI.yaml --- yaml/Automatic-Speech-Recognition-CHI.yaml | 182 --------------------- 1 file changed, 182 deletions(-) delete mode 100644 yaml/Automatic-Speech-Recognition-CHI.yaml diff --git a/yaml/Automatic-Speech-Recognition-CHI.yaml b/yaml/Automatic-Speech-Recognition-CHI.yaml deleted file mode 100644 index 4f0d859a2..000000000 --- a/yaml/Automatic-Speech-Recognition-CHI.yaml +++ /dev/null @@ -1,182 +0,0 @@ -openapi: 3.0.1 -info: - title: Automatic Speech Recognition CHI (SG) - description: >- - This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text.

This microservice works best for if the audio file consists of mostly speech with no long pauses in between."

This microservice works best for if the audio file consists of mostly speech with no long pauses in between. - version: '0.1' -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Jun 18, 2018" -paths: - /microservices/voice/asrsch/v0.1/getpredictions: - post: - tags: - - v0.1 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - headers: - Set-Cookie: - schema: - type: string - example: x-api-key=abcde12345; Path=/; - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: 各位 同学 朋友 老师 教授 大家好 我叫 墓园 - description: Converted Text - status: - type: string - example: success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - properties: - audio: - type: string - example: data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA... - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. From d32976df97a9f8d32952e69bd0bf0f285444da1d Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 23:22:50 +1000 Subject: [PATCH 0294/5916] Add files via upload --- yaml/d&b_basic_individual_search_sg.yaml | 96 ++++++++++++------------ yaml/d&b_business_check_plus_sg.yaml | 81 ++++++++++++-------- 2 files changed, 98 insertions(+), 79 deletions(-) diff --git a/yaml/d&b_basic_individual_search_sg.yaml b/yaml/d&b_basic_individual_search_sg.yaml index 1883755f4..ed01a5760 100644 --- a/yaml/d&b_basic_individual_search_sg.yaml +++ b/yaml/d&b_basic_individual_search_sg.yaml @@ -634,54 +634,54 @@ components: type: string description: Bankruptcy Type example: "COMPANY WINDING UP PETITION" - LIST_PLAINTIFF: - type: array - description: |+ - List of Plaintiff with following children: - [PLAINTIFF] - example: |+ - - - - - - - - - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - example: |+ - - - - - - - properties: - PLA_NAME: - type: string - description: Pla. Name - example: "B 2003 P1" - PLA_SOLICITOR: - type: string - description: Pla. Solicitor - example: "PATRICK KHOO ENG HOCK" - PLA_SOLICITOR_ID: - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "RSP/292668/1" + LIST_PLAINTIFF: + type: array + description: |+ + List of Plaintiff with following children: + [PLAINTIFF] + example: |+ + + + + + + + + + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + example: |+ + + + + + + + properties: + PLA_NAME: + type: string + description: Pla. Name + example: "B 2003 P1" + PLA_SOLICITOR: + type: string + description: Pla. Solicitor + example: "PATRICK KHOO ENG HOCK" + PLA_SOLICITOR_ID: + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "RSP/292668/1" LIST_LIT: type: array description: |+ diff --git a/yaml/d&b_business_check_plus_sg.yaml b/yaml/d&b_business_check_plus_sg.yaml index 7d221b019..3318a8cb1 100644 --- a/yaml/d&b_business_check_plus_sg.yaml +++ b/yaml/d&b_business_check_plus_sg.yaml @@ -322,9 +322,9 @@ components: description: System ID example: "DDP" CREATION_DATE: - type: string + type: datetime description: Report request date - example: "Wed Apr 08 11:37:51 MYT 2009" + example: Wed Apr 08 11:37:51 MYT 2009 USER_ID : type: string description: Valid user id in DDP system. It is for (For internal use) @@ -505,9 +505,9 @@ components: description: Subject’s ID Number (individual) or Registration Number (company/business) example: "197401835M" REQ_DATE: - type: string + type: datetime description: Report Requested Date - example: "2009-04-08 11:36:03.611" + example: 2009-04-08 11:36:03.611 REQ_REG_NO: type: string description: Request Registration Number @@ -537,9 +537,9 @@ components: description: Description example: "Employee Size" AMOUNT: - type: string + type: integer description: Number of employee - example: "300" + example: 300 LIST_BIZ_BRANCH : type: array description: |+ @@ -1232,7 +1232,13 @@ components: example: UNITED STATES OF AMERICA, DOLLARS SHAREHOLDER_TYPE : type: string - description: Indicator for Shareholder type + description: |+ + Indicator for Shareholder type. + Possible values are: + 1 Individual + 2 Company + 3 Unregistered foreign company + 4 Unregistered local company example: 2 SHARE_TYPE : type: string @@ -1248,8 +1254,12 @@ components: example: 09/05/2003 ADDR_TYPE : type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: + description: |+ + Address Type, indicates if it is Singapore or foreign address. + Possible values are: + S Indicates Singapore address + - Indicates foreign address + example: S NATIONALITY : type: string description: Nationality @@ -1373,7 +1383,11 @@ components: example: DIRECTOR ADDR_TYPE : type: string - description: Address Type, indicates if it is Singapore or foreign address. + description: |+ + Address Type, indicates if it is Singapore or foreign address. + Possible values are: + S Indicates Singapore address + - Indicates foreign address example: S CESSATION_DATE : type: string @@ -1438,7 +1452,7 @@ components: example: SGD AMOUNT : type: string - description: Amount + description: Amount. Amount values that higher than 1000 have a comma to delimit every 3 digits of the amount value. example: 30000.00 LIST_Ddrptcount : type: array @@ -1483,73 +1497,78 @@ components: description: Internal database value example: N/A Rcjan : - type: string + type: integer description: Count for January example: 1 Rcfeb : - type: string + type: integer description: Count for February example: 1 Rcmar : - type: string + type: integer description: Count for March example: 1 Rcapr : - type: string + type: integer description: Count for April example: 1 Rcmay : - type: string + type: integer description: Count for May example: 1 Rcjun : - type: string + type: integer description: Count for June example: 1 Rcjul : - type: string + type: integer description: Count for July example: 1 Rcaug : - type: string + type: integer description: Count for August example: 1 Rcsep : - type: string + type: integer description: Count for September example: 1 Rcoct : - type: string + type: integer description: Count for October - example: + example: 1 Rcnov : - type: string + type: integer description: Count for November example: 1 Rcdec : - type: string + type: integer description: Count for December example: 1 Rcid : type: string - description: Internal database value - example: + description: |+ + Internal database value, respond value from table Primary Key ID + It is for (For internal use) + example: N/A Rcreg : type: string description: Company Registration Number example: Rcrptyid : type: string - description: Product Type - example: + description: |+ + Product Type. Possible values are: + 1. Biz Check: 0001 + 2. Biz Check Plus: 0002 + example: 0001 Rcsecflag : - type: string + type: integer description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors example: 1 LastUpdateDate : - type: string + type: datetime description: Last update date - example: + example: YYYY-MM-DD 00:00:00.0 unauthorized: type: object properties: From 722087e70df9c5b84864e98fab7b038b5e19f9c1 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 23:23:45 +1000 Subject: [PATCH 0295/5916] Delete HDBFlatOwnership(SG).yaml --- yaml/HDBFlatOwnership(SG).yaml | 292 --------------------------------- 1 file changed, 292 deletions(-) delete mode 100644 yaml/HDBFlatOwnership(SG).yaml diff --git a/yaml/HDBFlatOwnership(SG).yaml b/yaml/HDBFlatOwnership(SG).yaml deleted file mode 100644 index 41412b1ce..000000000 --- a/yaml/HDBFlatOwnership(SG).yaml +++ /dev/null @@ -1,292 +0,0 @@ -openapi: 3.0.1 -info: - title: Flat Ownership HDB (SG) - description: This Data microservice returns information on flat ownership within Housing Development Board of Singapore (HDB) estates that includes location address, postal code, length of ownership and their quantity in units.

Authentication:

Authentication is done using the x-api-key in the request header.

Search Types


*All values have to be URL encoded

Keyword search

      Keyword search; search for all searchable fields

      Using querystring:

ang mo kio

      Filter search

      Example 1: Get all results except ang mo kio

      Using fiterdata:

{"must_not":[{"match_phrase":{"street":"ang mo kio"}}]}

      Or

      Using querystring:

      name:"ang mo kio"

      Example 2: Filter results with len_of_ownership t <= 10

      Using fiterdata:

{"filter":[{"match":{"len_of_ownership":"t <= 10"}}]}

Geo search

      Example 1: Geo search; distance in km and lat/lon.

      Using fiterdata:

{"filter":[{"geo_distance":{"distance":"1km","location":"1.3492463819999998,103.7511959"}}]}

      Example 2: Geo search; distance in km and lat/lon and trade type supermarket

      Using fiterdata:

{"filter":[{"geo_distance":{"distance":"1km","location":"1.3492463819999998,103.7511959"}},{"match":{"street":"bukit batok"}}]}

Supported Filter Types:


      must - All of these clauses must match. The equivalent of AND.

      must_not - All of these clauses must not match. The equivalent of NOT.

      should - At least one of these clauses must match. The equivalent of OR.

      filter - Clauses that must match, but are run in non-scoring, filtering mode.

Supported Match Types:


      match - is to search within a full-text field for a single word

      { "match":{"street":"bishan"}}

      match_phrase - is to search a full text field

      { "match_phrase":{ "street":bishan street 24"}}

      match_phrase_prefix - is to search a full text field with prefix

      {"match_phrase_prefix":{"street":"bishan"}}

      term - returns documents that contain one or more exact terms in a provided field.

      {"term":{"street":"bishan"}}

      terms - The terms query is the same as the term query, except you can search for multiple values.

      {"terms":{"street":["bishan","and mo kio"]}}

Sample filterdata JSON:


      {
      "must":[{"match_phrase":{"street":"ang+mo+kio+street+21"}}],
      "filter":[{"match":{"tags.type":"source"}}] ,
      "should":[{"match":{"source":"hdb"}}],
      "must_not":[{"match":{"len_of_ownership":"30 < t <= 40"}}
      } - - version: '0.1' -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Apr 24, 2020" -paths: - /DaaS/prod/hdb/ownership: - get: - tags: - - v0.1 - parameters: - - in: query - name: querystring - schema: - type: string - description: keyword match to all searchable fields - required: true - - in: query - name: offset - schema: - type: integer - example: "0" - description: The offset of the record list ie the starting index - required: false - - in: query - name: limit - schema: - type: integer - example: 10 - description: The max records to return for the request - required: false - - in: query - name: filterdata - schema: - type: string - description: Additional filter {"must":[ ],"should":[ ],"must_not":[ ],"filter":[ ]} - required: false - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - properties: - total: - type: number - example: 986 - description: Total number of records - max_score: - type: number - example: 17.995623 - description: The highest score value - hits: - type: array - items: - type: object - properties: - _index: - type: string - description: Index group of the document - example: "sentient_durationofownership_hdb_index" - _type: - type: string - description: Content type of the document - example: "dir_doc" - _id: - type: number - description: Document ID - example: "050533/40 Date: Fri, 2 Oct 2020 23:24:44 +1000 Subject: [PATCH 0296/5916] Delete Audio convertor.yaml --- yaml/Audio convertor.yaml | 232 -------------------------------------- 1 file changed, 232 deletions(-) delete mode 100644 yaml/Audio convertor.yaml diff --git a/yaml/Audio convertor.yaml b/yaml/Audio convertor.yaml deleted file mode 100644 index 4ac5633bf..000000000 --- a/yaml/Audio convertor.yaml +++ /dev/null @@ -1,232 +0,0 @@ -openapi: 3.0.1 -info: - title: Audio convertor - description: >- - This API is used to convert your audio like music(any format) to the WAV format. - version: '0.1' -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Feb 10, 2020" -paths: - /microservices/utility/audioprocessing/v0.1/getresults: - post: - tags: - - v0.1 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - AudioContent: actual base64 string of input wav - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: string - example: - AudioContent: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................. - description: Audio wav file convert to base64 encode string - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Feb 10, 2020 - description: Initial version release - input: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: upload file - description: Maximum file size up to 10MB - samplerate: - type: string - default: false - example: '16000' - description: Sample rate of the audio file in Hz - channel: - type: string - default: false - example: '1' - description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) - bitrate: - type: string - default: false - example: '4' - description: Indicates the bit resolution. Value must be 1(8bit) or 2 (16 bit) or 4(32bit) - normalize: - type: string - default: false - example: yes or no - description: A boolean value that indicates whether to normalize the audio or not. Values must be either “yes” or “no” - trim_start_time: - type: string - default: false - example: '1' - description: Indicates the start in seconds between which the audio is extracted - trim_stop_time: - type: string - default: false - example: '5' - description: Indicates the end time in seconds between which the audio is extracted - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From d0af6599fbada3f3ea50f2e66e201531e8d432f3 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 23:24:54 +1000 Subject: [PATCH 0297/5916] Delete DataAllianceDownloadDatasetAPI.yaml --- yaml/DataAllianceDownloadDatasetAPI.yaml | 178 ----------------------- 1 file changed, 178 deletions(-) delete mode 100644 yaml/DataAllianceDownloadDatasetAPI.yaml diff --git a/yaml/DataAllianceDownloadDatasetAPI.yaml b/yaml/DataAllianceDownloadDatasetAPI.yaml deleted file mode 100644 index e3f87c4d3..000000000 --- a/yaml/DataAllianceDownloadDatasetAPI.yaml +++ /dev/null @@ -1,178 +0,0 @@ -openapi: 3.0.1 -info: - title: Data Alliance - Download Dataset API - description: >- - Data Alliance API to download the complete dataset using pre-signed URL. It's a two steps process

Pre-request:

1. Get the organization "API-KEY" from the organization detail page
2. Decrypted the API endpoint shared in the contract using your private key corresponding to the public key set in the organization detail page. - version: '1.0' -servers: - - url: 'https://api.sentient.io' -paths: - /DaaS/prod/v1/{storagelocation}/{filetype}/{filename}/{proxy}: - get: - tags: - - v0.1 - parameters: - - name: "filename" - in: "path" - required: true - schema: - type: "string" - - name: "proxy" - in: "path" - required: true - schema: - type: "string" - - name: "filetype" - in: "path" - required: true - schema: - type: "string" - - name: "storagelocation" - in: "path" - required: true - schema: - type: "string" - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: string - example: url: - status: - type: string - example: success - message: - type: string - example: successfully processed - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - input: - type: object - properties: - model: - type: string - wav_base64: - type: string - file_type: - type: string - vad_threshold: - type: string - inputwav: - type: object - properties: - model: - type: string - wav_url: - type: string - wav_base64: - type: string - file_type: - type: string - vad_threshold: - type: string - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom \ No newline at end of file From 97123eb9313ccdc8aa1d0167439ee5f0aff233a9 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 2 Oct 2020 23:28:25 +1000 Subject: [PATCH 0298/5916] Add a x-depreciated key --- yaml/page_profiler_eng.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/yaml/page_profiler_eng.yaml b/yaml/page_profiler_eng.yaml index c2934f291..3fb7a29c7 100644 --- a/yaml/page_profiler_eng.yaml +++ b/yaml/page_profiler_eng.yaml @@ -9,6 +9,7 @@ The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. version: '1.0' x-subscribelink: page_profiler_eng + x-depreciated: "Oct 15, 2020" servers: - url: 'https://apis.sentient.io' tags: From 3b293994cddb890a676816583556daba730117bf Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 6 Oct 2020 18:14:12 +1100 Subject: [PATCH 0299/5916] Update and rename automatic_speech_recognition_eng.yaml to automatic_voice_recognition_eng.yaml --- ...ecognition_eng.yaml => automatic_voice_recognition_eng.yaml} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename yaml/{automatic_speech_recognition_eng.yaml => automatic_voice_recognition_eng.yaml} (99%) diff --git a/yaml/automatic_speech_recognition_eng.yaml b/yaml/automatic_voice_recognition_eng.yaml similarity index 99% rename from yaml/automatic_speech_recognition_eng.yaml rename to yaml/automatic_voice_recognition_eng.yaml index 8e447ccfe..5be907509 100644 --- a/yaml/automatic_speech_recognition_eng.yaml +++ b/yaml/automatic_voice_recognition_eng.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Automatic Speech Recognition ENG + title: Automatic Voice Recognition ENG description: |+ This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. From 5771a2b19b76943ef97be247c5398c5f8b227a9a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 6 Oct 2020 18:14:59 +1100 Subject: [PATCH 0300/5916] Update index.yaml --- yaml/index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/yaml/index.yaml b/yaml/index.yaml index 8f924a35c..fb9a7200d 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -1,4 +1,8 @@ Voice: + Automatic Voice Recognition ENG (SG): + title: Automatic Voice Recognition ENG (SG) + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_voice_recognition_eng.yaml" Automatic Speech Recognition ENG (SG): title: Automatic Speech Recognition ENG (SG) versions: From 38930b328a0bcc2c059ef1fe222ecd2f37c37780 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 6 Oct 2020 18:17:00 +1100 Subject: [PATCH 0301/5916] Update index.yaml --- yaml/index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index fb9a7200d..df1fe0ca1 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -1,6 +1,6 @@ Voice: - Automatic Voice Recognition ENG (SG): - title: Automatic Voice Recognition ENG (SG) + Automatic Voice Recognition ENG: + title: Automatic Voice Recognition ENG versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_voice_recognition_eng.yaml" Automatic Speech Recognition ENG (SG): From 302427a39118254bc9f1b80b9374ef81546bd926 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 6 Oct 2020 18:17:43 +1100 Subject: [PATCH 0302/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index df1fe0ca1..36cf3a546 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -1,5 +1,5 @@ Voice: - Automatic Voice Recognition ENG: + Automatic Voice Recognition ENG: title: Automatic Voice Recognition ENG versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_voice_recognition_eng.yaml" From ad644b518ec98589b35a53add6fa25bedee79cbb Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Wed, 7 Oct 2020 14:43:17 +0800 Subject: [PATCH 0303/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 36cf3a546..bf82dc11d 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -1,5 +1,5 @@ Voice: - Automatic Voice Recognition ENG: + Automatic-Voice-Recognition-ENG: title: Automatic Voice Recognition ENG versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_voice_recognition_eng.yaml" From 2b8e7e9f309f940f96426dc7a6ecbbab512c607f Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Wed, 7 Oct 2020 14:44:54 +0800 Subject: [PATCH 0304/5916] Update index.yaml --- yaml/index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index bf82dc11d..5302b3088 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -1,6 +1,6 @@ Voice: - Automatic-Voice-Recognition-ENG: - title: Automatic Voice Recognition ENG + Automatic Voice Recognition ENG: + title: Automatic-Voice-Recognition-ENG versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_voice_recognition_eng.yaml" Automatic Speech Recognition ENG (SG): From 8551e7dde3820517956f3ba4beea9a2c090089e8 Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Wed, 7 Oct 2020 15:23:54 +0800 Subject: [PATCH 0305/5916] Update index.yaml Replace space with "-" on voice section. Replace "&" with "& " on D&B Brief Finical Information to test "&" character --- yaml/index.yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 5302b3088..df343752e 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -4,35 +4,35 @@ Voice: versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_voice_recognition_eng.yaml" Automatic Speech Recognition ENG (SG): - title: Automatic Speech Recognition ENG (SG) + title: Automatic-Speech-Recognition-ENG-(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_speech_recognition_eng_sg.yaml" Automatic Speech Recognition CHI (SG): - title: Automatic Speech Recognition CHI (SG) + title: Automatic-Speech-Recognition-CHI-(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_speech_recognition_chi_sg.yaml" Online Automatic Speech Recognition ENG (SG): - title: Online Automatic Speech Recognition ENG (SG) + title: Online-Automatic-Speech-Recognition-ENG-(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/online_automatic_speech_recognition_eng_sg.yaml" Online Command Automatic Speech Recognition ENG (SG): - title: Online Command Automatic Speech Recognition ENG (SG) + title: Online-Command-Automatic-Speech-Recognition-ENG-(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/online_command_automatic_speech_recognition_eng_sg.yaml" Text-To-Speech ENG: - title: Text-To-Speech ENG + title: Text-To-Speech-ENG versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/text-to-speech_eng.yaml" Text-To-Speech CHI: - title: Text-To-Speech CHI + title: Text-To-Speech-CHI versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/text-to-speech_chi.yaml" ASR with Voice Activity Detection ENG (SG): - title: ASR with Voice Activity Detection ENG (SG) + title: ASR-with-Voice-Activity-Detection-ENG-(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/asr_with_vad_eng_sg.yaml" Voice Activity Detection ENG: - title: Voice Activity Detection ENG + title: Voice-Activity-Detection-ENG versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/voice_activity_detection_eng.yaml" NLP: @@ -228,7 +228,7 @@ Data: versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_business_check_sg.yaml" D&B Brief Financial Information (SG): - title: D&B Brief Financial Information (SG) + title: D&B-Brief-Financial-Information-(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_brief_financial_information_sg.yaml" Data Alliance: From fb8dc94210eaa40ae1527da14982f1a34596bd26 Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Wed, 7 Oct 2020 15:28:51 +0800 Subject: [PATCH 0306/5916] Update index.yaml test title "D%26B-Brief-Financial-Information-(SG)" --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index df343752e..c1775b298 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -228,7 +228,7 @@ Data: versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_business_check_sg.yaml" D&B Brief Financial Information (SG): - title: D&B-Brief-Financial-Information-(SG) + title: D%26B-Brief-Financial-Information-(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_brief_financial_information_sg.yaml" Data Alliance: From 63ef929e85740addcbd9128541b2436550cd134f Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Wed, 7 Oct 2020 15:35:15 +0800 Subject: [PATCH 0307/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index c1775b298..97ebe2b07 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -228,7 +228,7 @@ Data: versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_business_check_sg.yaml" D&B Brief Financial Information (SG): - title: D%26B-Brief-Financial-Information-(SG) + title: D&B-Brief-Financial-Information-(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_brief_financial_information_sg.yaml" Data Alliance: From 96b0935adee1edac97d6aa942ea8fa6be6ea7853 Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Wed, 7 Oct 2020 15:55:44 +0800 Subject: [PATCH 0308/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 97ebe2b07..5849bd0cf 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -228,7 +228,7 @@ Data: versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_business_check_sg.yaml" D&B Brief Financial Information (SG): - title: D&B-Brief-Financial-Information-(SG) + title: "D&B-Brief-Financial-Information-(SG)" versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_brief_financial_information_sg.yaml" Data Alliance: From 5e01bb0d9ba04db9427688ef1157306fc0add03a Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Wed, 7 Oct 2020 16:23:12 +0800 Subject: [PATCH 0309/5916] Update index.yaml test add quotation mark on title --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 5849bd0cf..c34f62897 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -224,7 +224,7 @@ Data: versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_basic_individual_search_sg.yaml" D&B Business Check (SG): - title: D&B Business Check (SG) + title: "D&B Business Check (SG)" versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_business_check_sg.yaml" D&B Brief Financial Information (SG): From 7f882626d6ff8d7290e02561dfec36d7e9a850c0 Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Wed, 7 Oct 2020 16:23:48 +0800 Subject: [PATCH 0310/5916] Update index.yaml --- yaml/index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index c34f62897..40e2aa702 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -228,7 +228,7 @@ Data: versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_business_check_sg.yaml" D&B Brief Financial Information (SG): - title: "D&B-Brief-Financial-Information-(SG)" + title: D&B-Brief-Financial-Information-(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/d&b_brief_financial_information_sg.yaml" Data Alliance: From 2613bef66ceea022b7837766cb4ef282da147a82 Mon Sep 17 00:00:00 2001 From: Zhang Qiao <61284893+zqTheDesigner@users.noreply.github.com> Date: Wed, 7 Oct 2020 17:26:56 +0800 Subject: [PATCH 0311/5916] Update index.yaml change "-" to "_" --- yaml/index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 40e2aa702..fd1e9c29d 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -1,10 +1,10 @@ Voice: Automatic Voice Recognition ENG: - title: Automatic-Voice-Recognition-ENG + title: Automatic_Voice_Recognition_ENG versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_voice_recognition_eng.yaml" Automatic Speech Recognition ENG (SG): - title: Automatic-Speech-Recognition-ENG-(SG) + title: Automatic_Speech_Recognition_ENG_(SG) versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_speech_recognition_eng_sg.yaml" Automatic Speech Recognition CHI (SG): From c65df592918ed444845ae8219193527b3daa7b4d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 8 Oct 2020 17:34:39 +0530 Subject: [PATCH 0312/5916] Update online_automatic_speech_recognition_eng_sg.yaml --- yaml/online_automatic_speech_recognition_eng_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/online_automatic_speech_recognition_eng_sg.yaml b/yaml/online_automatic_speech_recognition_eng_sg.yaml index 8511c1319..b416e3dc0 100644 --- a/yaml/online_automatic_speech_recognition_eng_sg.yaml +++ b/yaml/online_automatic_speech_recognition_eng_sg.yaml @@ -9,7 +9,7 @@ info: # tags must include in to the documentation, to read the description text for published date tags: - name: "v0.1" - description: " " + description: "Published Date - Sep 07, 2020" html: |+
From ef555dc95697047e007f9de11c7b10fc28796812 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 8 Oct 2020 23:15:54 +1100 Subject: [PATCH 0314/5916] Update wikipedia_retrieval_eng.yaml --- yaml/wikipedia_retrieval_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/wikipedia_retrieval_eng.yaml b/yaml/wikipedia_retrieval_eng.yaml index 3b5b907c2..ceea86ec0 100644 --- a/yaml/wikipedia_retrieval_eng.yaml +++ b/yaml/wikipedia_retrieval_eng.yaml @@ -1,10 +1,10 @@ openapi: 3.0.1 info: - title: Wikipedia Retrieval ENG + title: Wikipedia Retrieval description: |+ It is an API that provides the user with a Wikipedia article based on the input keyword. Refer to this link for the full list of Wikipedias - https://meta.wikimedia.org/wiki/List_of_Wikipedias version: '0.1' - x-subscribelink: wikipedia_retrieval_eng + x-subscribelink: wikipedia_retrieval servers: - url: 'https://apis.sentient.io' tags: From 563a0e215a91a196f29925b219257ec78eb07a7c Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 8 Oct 2020 23:16:33 +1100 Subject: [PATCH 0315/5916] Rename wikipedia_retrieval_eng.yaml to wikipedia_retrieval.yaml --- yaml/{wikipedia_retrieval_eng.yaml => wikipedia_retrieval.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename yaml/{wikipedia_retrieval_eng.yaml => wikipedia_retrieval.yaml} (100%) diff --git a/yaml/wikipedia_retrieval_eng.yaml b/yaml/wikipedia_retrieval.yaml similarity index 100% rename from yaml/wikipedia_retrieval_eng.yaml rename to yaml/wikipedia_retrieval.yaml From ae2e5ebfdf2f1cab7bee4ee1cf0762f15c5aac35 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 8 Oct 2020 23:17:12 +1100 Subject: [PATCH 0316/5916] Update audio_format_convertor.yaml --- yaml/audio_format_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/audio_format_convertor.yaml b/yaml/audio_format_convertor.yaml index c35493f54..8f1408991 100644 --- a/yaml/audio_format_convertor.yaml +++ b/yaml/audio_format_convertor.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Audio convertor + title: Audio Format Convertor description: >- This API is used to convert your audio like music(any format) to the WAV format. version: '0.1' From 8ece7433f2713146e5d1065463141dd5be93b4e8 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 8 Oct 2020 23:20:00 +1100 Subject: [PATCH 0317/5916] Update index.yaml --- yaml/index.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index fd1e9c29d..b0a5e0cfa 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -138,10 +138,10 @@ Utility: title: Decryption using PKI Key versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/decryption_using_pki_key.yaml" - Wikipedia Retrieval ENG: - title: Wikipedia Retrieval ENG + Wikipedia Retrieval: + title: Wikipedia Retrieval versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/wikipedia_retrieval_eng.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/wikipedia_retrieval.yaml" JSON-CSV Convertor: title: JSON-CSV Convertor versions: From 2664d896bb94e17a8962b5c366f1039b819fbefa Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 09:26:12 +0530 Subject: [PATCH 0318/5916] Update face_recognition_politicians_sg.yaml --- yaml/face_recognition_politicians_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/face_recognition_politicians_sg.yaml b/yaml/face_recognition_politicians_sg.yaml index 85643aec1..ba432f649 100644 --- a/yaml/face_recognition_politicians_sg.yaml +++ b/yaml/face_recognition_politicians_sg.yaml @@ -214,9 +214,9 @@ components: x-name: model type: string default: true - example: sg_parliament_2019 + example: sg-parliament-2019 description: |+ - Model name. “sg_parliament_2019” is trained on Singapore Members of Parliament - 2019. + Model name. “sg-parliament-2019” is trained on Singapore Members of Parliament - 2019. img_base64: x-name: img_base64 type: string From d0b7aaa8839d8158d2a55dc60a6d02e0be471da0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 09:35:40 +0530 Subject: [PATCH 0319/5916] Update face_recognition_politicians_sg.yaml --- yaml/face_recognition_politicians_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/face_recognition_politicians_sg.yaml b/yaml/face_recognition_politicians_sg.yaml index ba432f649..17ae58867 100644 --- a/yaml/face_recognition_politicians_sg.yaml +++ b/yaml/face_recognition_politicians_sg.yaml @@ -236,7 +236,7 @@ components: type: number format: float default: false - example: 1.0 + example: 0.5 description: |+ 0.0 to 1.0. Default is 0.4. Higher threshold will return results with higher confidence. From a071c54fd65ccc1e08f46465b5a941da9405d445 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 09:40:01 +0530 Subject: [PATCH 0320/5916] Update face_recognition_politicians_sg.yaml --- yaml/face_recognition_politicians_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/face_recognition_politicians_sg.yaml b/yaml/face_recognition_politicians_sg.yaml index 17ae58867..b951698f7 100644 --- a/yaml/face_recognition_politicians_sg.yaml +++ b/yaml/face_recognition_politicians_sg.yaml @@ -233,7 +233,7 @@ components: Type of image file. If not specified, the type of file is detected and processed.Refers to Python Imaging Library (PIL) for supported formats: bmp, gif, jpg/jpeg, png. threshold: x-name: threshold - type: number + type: float format: float default: false example: 0.5 From d25a2435101dacd392b0c4e8bf3e168640bf8220 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 09:46:08 +0530 Subject: [PATCH 0321/5916] Update json-csv_convertor.yaml --- yaml/json-csv_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/json-csv_convertor.yaml b/yaml/json-csv_convertor.yaml index 1313b6731..8c351fa0c 100644 --- a/yaml/json-csv_convertor.yaml +++ b/yaml/json-csv_convertor.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0" - description: "Published Date - Apr 16, 2020" + description: "Published Date - May 21, 2020" paths: /microservices/utility/jsontocsv/v1.0/getresults: post: @@ -204,7 +204,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 16, 2020 + example: Published Date - May 21, 2020 description: Initial version release securitySchemes: APIAuthorizer: From 60cfac16e93f86643b9f73168ffe1276f14ee027 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 09:46:53 +0530 Subject: [PATCH 0322/5916] Update csv-json_convertor.yaml --- yaml/csv-json_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/csv-json_convertor.yaml b/yaml/csv-json_convertor.yaml index 62b4eba79..af00c6474 100644 --- a/yaml/csv-json_convertor.yaml +++ b/yaml/csv-json_convertor.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0" - description: "Published Date - May 07, 2020" + description: "Published Date - May 21, 2020" paths: /microservices/utility/csvtojson/v1.0/getresults: post: @@ -190,7 +190,7 @@ components: items: oneOf: - type: string - example: Published Date - May 07, 2020 + example: Published Date - May 21, 2020 description: Initial version release input: type: object From 87c3229abbeebb424645d19c8bae2e440cb8e82a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 09:53:17 +0530 Subject: [PATCH 0323/5916] Update page_profiler_eng.yaml --- yaml/page_profiler_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/page_profiler_eng.yaml b/yaml/page_profiler_eng.yaml index 3fb7a29c7..055b1af57 100644 --- a/yaml/page_profiler_eng.yaml +++ b/yaml/page_profiler_eng.yaml @@ -14,7 +14,7 @@ - url: 'https://apis.sentient.io' tags: - name: "v1.0" - description: "Published Date - Apr 11, 2018" + description: "Published Date - May 15, 2020" paths: /microservices/nlp/pageprofiler/v1.0/getpredictions: post: @@ -186,7 +186,7 @@ items: oneOf: - type: string - example: Published Date - Apr 11, 2018 + example: Published Date - May 15, 2020 description: Initial version release input: type: object From 03aa362b543e0ae61538d01517c143d260341f16 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 10:23:15 +0530 Subject: [PATCH 0324/5916] Update page_profiler_eng_v2.0.yaml --- yaml/page_profiler_eng_v2.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_eng_v2.0.yaml b/yaml/page_profiler_eng_v2.0.yaml index 2fc13f92b..d36399d65 100644 --- a/yaml/page_profiler_eng_v2.0.yaml +++ b/yaml/page_profiler_eng_v2.0.yaml @@ -15,7 +15,7 @@ - name: "v2.0" description: "Published Date - Sep 30, 2020" paths: - /microservices/nlp/pageprofiler/v2.0/getpredictions: + /microservices/nlp/pageprofiler/v2/getpredictions: post: tags: - v2.0 From 354277024e79c4b5c7447192d11c8d692ee3a943 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 10:39:53 +0530 Subject: [PATCH 0325/5916] Update named-entity_recognition_eng_v1.0.yaml --- yaml/named-entity_recognition_eng_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_eng_v1.0.yaml b/yaml/named-entity_recognition_eng_v1.0.yaml index ac9469650..c8cd570c3 100644 --- a/yaml/named-entity_recognition_eng_v1.0.yaml +++ b/yaml/named-entity_recognition_eng_v1.0.yaml @@ -15,7 +15,7 @@ tags: - name: "v1.0" description: "Published Date - Sep 30, 2020" paths: - /microservices/nlp/namedentityrecognition/v1.0/getpredictions: + /microservices/nlp/namedentityrecognition/v1/getpredictions: post: tags: - v1.0 From 8c5d174f8ef62b8f3ab721ee189f301de22fdf1d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 12:37:07 +0530 Subject: [PATCH 0326/5916] Update pki_key_generator.yaml --- yaml/pki_key_generator.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/pki_key_generator.yaml b/yaml/pki_key_generator.yaml index f2207c0c7..cdc6ce57f 100644 --- a/yaml/pki_key_generator.yaml +++ b/yaml/pki_key_generator.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Mar 13, 2020" + description: "Published Date - Aug 30, 2019" paths: /microservices/utility/rsa_getkeys/v0.1/getresults: post: @@ -179,7 +179,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 13, 2020 + example: Published Date - Aug 30, 2019 description: Initial version release input: type: object From dfa8382f910738f1339bca0633a2f9a21d4ccfde Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 12:39:20 +0530 Subject: [PATCH 0327/5916] Update encryption_using_pki_key.yaml --- yaml/encryption_using_pki_key.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/encryption_using_pki_key.yaml b/yaml/encryption_using_pki_key.yaml index b0ca468ad..8de36d739 100644 --- a/yaml/encryption_using_pki_key.yaml +++ b/yaml/encryption_using_pki_key.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Mar 13, 2020" + description: "Published Date - Aug 30, 2019" paths: /microservices/utility/rsa_encode/v0.1/getresults: post: @@ -194,7 +194,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 13, 2020 + example: Published Date - Aug 30, 2019 description: Initial version release securitySchemes: APIAuthorizer: From 7bc69441b12656317d953dc8efaf4110b5c8ef01 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 12:40:45 +0530 Subject: [PATCH 0328/5916] Update decryption_using_pki_key.yaml --- yaml/decryption_using_pki_key.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/decryption_using_pki_key.yaml b/yaml/decryption_using_pki_key.yaml index 707d6f5cd..bab372aa9 100644 --- a/yaml/decryption_using_pki_key.yaml +++ b/yaml/decryption_using_pki_key.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Mar 13, 2020" + description: "Published Date - Aug 30, 2019" paths: /microservices/utility/rsa_decode/v0.1/getresults: post: @@ -181,7 +181,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 13, 2020 + example: Published Date - Aug 30, 2019 description: Initial version release input: type: object From 71981c54f699531e3ab596ee3a9f6572071b2dff Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 12:44:10 +0530 Subject: [PATCH 0329/5916] Update named-entity_recognition_jp_v1.0.yaml --- yaml/named-entity_recognition_jp_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_jp_v1.0.yaml b/yaml/named-entity_recognition_jp_v1.0.yaml index fa12fa81f..fdd6079ad 100644 --- a/yaml/named-entity_recognition_jp_v1.0.yaml +++ b/yaml/named-entity_recognition_jp_v1.0.yaml @@ -15,7 +15,7 @@ tags: - name: "v1.0" description: "Published Date - Sep 30, 2020" paths: - /microservices/nlp/japanesener/v1.0/getpredictions: + /microservices/nlp/japanesener/v1/getpredictions: post: tags: - v1.0 From b1fc26e1766296d1d9cae1be5579a9c3b19953dc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 12:58:39 +0530 Subject: [PATCH 0330/5916] Update named-entity_recognition_thai_v1.0.yaml --- yaml/named-entity_recognition_thai_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_thai_v1.0.yaml b/yaml/named-entity_recognition_thai_v1.0.yaml index a517d65af..0926c28db 100644 --- a/yaml/named-entity_recognition_thai_v1.0.yaml +++ b/yaml/named-entity_recognition_thai_v1.0.yaml @@ -15,7 +15,7 @@ tags: - name: "v1.0" description: "Published Date - Sep 30, 2020" paths: - /microservices/nlp/thainer/v1.0/getpredictions: + /microservices/nlp/thainer/v1/getpredictions: post: tags: - v1.0 From bd0ef1c0b4e5f35b90794029256e46f08260829e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 15:05:26 +0530 Subject: [PATCH 0331/5916] Update spacy_named-entity_recognition_eng.yaml --- yaml/spacy_named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/spacy_named-entity_recognition_eng.yaml b/yaml/spacy_named-entity_recognition_eng.yaml index 6d8bd26f9..22df577fc 100644 --- a/yaml/spacy_named-entity_recognition_eng.yaml +++ b/yaml/spacy_named-entity_recognition_eng.yaml @@ -15,7 +15,7 @@ tags: - name: "v0.1" description: "Published Date - Sep 30, 2020" paths: - /microservices/nlp/spacyner/v0.1/getpredictions: + /microservices/nlp/spacyner/v1/getpredictions: post: tags: - v0.1 From 0284755229d251476d7ed00df7a85b39a30a8a31 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 15:27:25 +0530 Subject: [PATCH 0332/5916] Update page_profiler_jp.yaml --- yaml/page_profiler_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_jp.yaml b/yaml/page_profiler_jp.yaml index 642262c7d..d8e159466 100644 --- a/yaml/page_profiler_jp.yaml +++ b/yaml/page_profiler_jp.yaml @@ -15,7 +15,7 @@ - name: "v0.1" description: "Published Date - Sep 30, 2020" paths: - /microservices/nlp/pageprofilerjp/v0.1/getpredictions: + /microservices/nlp/pageprofilerjp/v1/getpredictions: post: tags: - v0.1 From 9e713d27156e37023a0e04292a05fb51eee806ff Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Oct 2020 15:45:22 +0530 Subject: [PATCH 0333/5916] Update page_profiler_thai.yaml --- yaml/page_profiler_thai.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/page_profiler_thai.yaml b/yaml/page_profiler_thai.yaml index 7203caf44..e777d3bda 100644 --- a/yaml/page_profiler_thai.yaml +++ b/yaml/page_profiler_thai.yaml @@ -15,7 +15,7 @@ - name: "v0.1" description: "Published Date - Sep 30, 2020" paths: - /microservices/nlp/pageprofilerthai/v0.1/getpredictions: + /microservices/nlp/pageprofilerthai/v1/getpredictions: post: tags: - v0.1 From 7d52cb5cf6c05384c25ca84a96fba494ff8b5592 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 12 Oct 2020 11:45:42 +0530 Subject: [PATCH 0334/5916] Update online_command_automatic_speech_recognition_eng_sg.yaml --- yaml/online_command_automatic_speech_recognition_eng_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/online_command_automatic_speech_recognition_eng_sg.yaml b/yaml/online_command_automatic_speech_recognition_eng_sg.yaml index f43a87200..82532e0e2 100644 --- a/yaml/online_command_automatic_speech_recognition_eng_sg.yaml +++ b/yaml/online_command_automatic_speech_recognition_eng_sg.yaml @@ -4,7 +4,7 @@ info: # tags must include in to the documentation, to read the description text for published date tags: - name: "v0.1" - description: "Published Date - Sep 07, 2020" + description: "Published Date - August 31, 2020" html: |+ From bd620a2bba589c24b5f0e0a9f457128ea2289394 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 12 Oct 2020 11:47:01 +0530 Subject: [PATCH 0335/5916] Update online_automatic_speech_recognition_eng_sg.yaml --- yaml/online_automatic_speech_recognition_eng_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/online_automatic_speech_recognition_eng_sg.yaml b/yaml/online_automatic_speech_recognition_eng_sg.yaml index b416e3dc0..c6880dbe0 100644 --- a/yaml/online_automatic_speech_recognition_eng_sg.yaml +++ b/yaml/online_automatic_speech_recognition_eng_sg.yaml @@ -9,7 +9,7 @@ info: # tags must include in to the documentation, to read the description text for published date tags: - name: "v0.1" - description: "Published Date - Sep 07, 2020" + description: "Published Date - Apr 17, 2020" html: |+
From 1f0cb7d8e91154c390f538220ad48ba61b65f03b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 12 Oct 2020 15:21:44 +0530 Subject: [PATCH 0337/5916] Update urls_retrieval.yaml --- yaml/urls_retrieval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/urls_retrieval.yaml b/yaml/urls_retrieval.yaml index cd624ac65..080ed3035 100644 --- a/yaml/urls_retrieval.yaml +++ b/yaml/urls_retrieval.yaml @@ -6,7 +6,7 @@ info: version: '0.1' x-subscribelink: urls_retrieval servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io/' tags: - name: "v0.1" description: "Published Date - Jun 18, 2018" From 5ee27a9209b10eeed8d9557fff656608ca23ee89 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 12 Oct 2020 15:25:30 +0530 Subject: [PATCH 0338/5916] Update urls_retrieval.yaml --- yaml/urls_retrieval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/urls_retrieval.yaml b/yaml/urls_retrieval.yaml index 080ed3035..c539ec160 100644 --- a/yaml/urls_retrieval.yaml +++ b/yaml/urls_retrieval.yaml @@ -6,7 +6,7 @@ info: version: '0.1' x-subscribelink: urls_retrieval servers: - - url: 'https://dev-apis.sentient.io/' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1" description: "Published Date - Jun 18, 2018" From 9ecf83400f617274f08ea26ffb45e3cce841de63 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 13 Oct 2020 11:19:35 +0530 Subject: [PATCH 0339/5916] Update text-to-speech_eng.yaml --- yaml/text-to-speech_eng.yaml | 153 +++++++++++++++++++++++++++++++++++ 1 file changed, 153 insertions(+) diff --git a/yaml/text-to-speech_eng.yaml b/yaml/text-to-speech_eng.yaml index cbac86510..b8619e277 100644 --- a/yaml/text-to-speech_eng.yaml +++ b/yaml/text-to-speech_eng.yaml @@ -7,6 +7,159 @@ info: The Text-to-Speech AI generated synthesized voice speaks with Singapore English accent. version: '0.1' x-subscribelink: text-to-speech_eng + x-codeSamples: + - lang: Node + Request + source: | + const request = require('request'); + + const options = { + method: 'POST', + url: 'https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions', + headers: {'content-type': 'application/json', 'x-api-key': 'REPLACE_KEY_VALUE'}, + body: {audio: 'data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA...'}, + json: true + }; + + request(options, function (error, response, body) { + if (error) throw new Error(error); + + console.log(body); + }); + - lang: Shell + Curl + source: |- + curl --request POST \ + --url https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions \ + --header 'content-type: application/json' \ + --header 'x-api-key: REPLACE_KEY_VALUE' \ + --data '{"audio":"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA..."}' + - lang: Shell + Httpie + source: >- + echo + '{"audio":"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA..."}' + | \ + http POST https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions \ + content-type:application/json \ + x-api-key:REPLACE_KEY_VALUE + - lang: Python + Python3 + source: >- + import http.client + + + conn = http.client.HTTPSConnection("apis.sentient.io") + + + payload = + "{\"audio\":\"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA...\"}" + + + headers = { + 'content-type': "application/json", + 'x-api-key': "REPLACE_KEY_VALUE" + } + + conn.request("POST", + "/microservices/voice/asreng/v0.1/getpredictions", payload, headers) + + + res = conn.getresponse() + + data = res.read() + + + print(data.decode("utf-8")) + - lang: Php + Curl + source: |- + "https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions", + CURLOPT_RETURNTRANSFER => true, + CURLOPT_ENCODING => "", + CURLOPT_MAXREDIRS => 10, + CURLOPT_TIMEOUT => 30, + CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, + CURLOPT_CUSTOMREQUEST => "POST", + CURLOPT_POSTFIELDS => "{\"audio\":\"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA...\"}", + CURLOPT_HTTPHEADER => [ + "content-type: application/json", + "x-api-key: REPLACE_KEY_VALUE" + ], + ]); + + $response = curl_exec($curl); + $err = curl_error($curl); + + curl_close($curl); + + if ($err) { + echo "cURL Error #:" . $err; + } else { + echo $response; + } + - lang: Php + Http1 + source: >- + setUrl('https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions'); + + $request->setMethod(HTTP_METH_POST); + + + $request->setHeaders([ + 'content-type' => 'application/json', + 'x-api-key' => 'REPLACE_KEY_VALUE' + ]); + + + $request->setBody('{"audio":"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA..."}'); + + + try { + $response = $request->send(); + + echo $response->getBody(); + } catch (HttpException $ex) { + echo $ex; + } + - lang: Php + Http2 + source: >- + append('{"audio":"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA..."}'); + + + $request->setRequestUrl('https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions'); + + $request->setRequestMethod('POST'); + + $request->setBody($body); + + + $request->setHeaders([ + 'content-type' => 'application/json', + 'x-api-key' => 'REPLACE_KEY_VALUE' + ]); + + + $client->enqueue($request)->send(); + + $response = $client->getResponse(); + + + echo $response->getBody(); servers: - url: 'https://apis.sentient.io' tags: From 59004bf34d887372c309defa5748d95b1246bed0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 13 Oct 2020 11:50:10 +0530 Subject: [PATCH 0340/5916] Update text-to-speech_eng.yaml --- yaml/text-to-speech_eng.yaml | 156 +++++++++++++++++------------------ 1 file changed, 78 insertions(+), 78 deletions(-) diff --git a/yaml/text-to-speech_eng.yaml b/yaml/text-to-speech_eng.yaml index b8619e277..ddab98ed6 100644 --- a/yaml/text-to-speech_eng.yaml +++ b/yaml/text-to-speech_eng.yaml @@ -7,7 +7,84 @@ info: The Text-to-Speech AI generated synthesized voice speaks with Singapore English accent. version: '0.1' x-subscribelink: text-to-speech_eng - x-codeSamples: +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1" + description: "Published Date - Oct 01, 2018" +paths: + /microservices/voice/ttseng/v0.1/getpredictions: + post: + tags: + - v0.1 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + audioContent: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + x-codeSamples: - lang: Node + Request source: | const request = require('request'); @@ -160,83 +237,6 @@ info: echo $response->getBody(); -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Oct 01, 2018" -paths: - /microservices/voice/ttseng/v0.1/getpredictions: - post: - tags: - - v0.1 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - audioContent: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true components: schemas: success: From aa287e3104d754cc430eba4330790337d7898ca5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 13 Oct 2020 16:24:09 +0530 Subject: [PATCH 0341/5916] Update text-to-speech_eng.yaml --- yaml/text-to-speech_eng.yaml | 200 ++++++++++++++--------------------- 1 file changed, 82 insertions(+), 118 deletions(-) diff --git a/yaml/text-to-speech_eng.yaml b/yaml/text-to-speech_eng.yaml index ddab98ed6..59b695cfe 100644 --- a/yaml/text-to-speech_eng.yaml +++ b/yaml/text-to-speech_eng.yaml @@ -1,17 +1,17 @@ openapi: 3.0.1 info: title: Text-To-Speech ENG - description: |+ + description: | "This Voice microservice converts English text into speech in a female voice. - + The Text-to-Speech AI generated synthesized voice speaks with Singapore English accent. version: '0.1' x-subscribelink: text-to-speech_eng servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1" - description: "Published Date - Oct 01, 2018" + - name: v0.1 + description: 'Published Date - Oct 01, 2018' paths: /microservices/voice/ttseng/v0.1/getpredictions: post: @@ -24,7 +24,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: + example: audioContent: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= message: Successfully Processed status: Success @@ -63,7 +63,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/inputlimitexceeded' + $ref: '#/components/schemas/inputlimitexceeded' '500': description: Internal Server Error content: @@ -85,65 +85,72 @@ paths: $ref: '#/components/schemas/input' required: true x-codeSamples: - - lang: Node + Request - source: | - const request = require('request'); - - const options = { - method: 'POST', - url: 'https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions', - headers: {'content-type': 'application/json', 'x-api-key': 'REPLACE_KEY_VALUE'}, - body: {audio: 'data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA...'}, - json: true - }; - - request(options, function (error, response, body) { - if (error) throw new Error(error); - - console.log(body); - }); - - lang: Shell + Curl - source: |- - curl --request POST \ - --url https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions \ - --header 'content-type: application/json' \ - --header 'x-api-key: REPLACE_KEY_VALUE' \ - --data '{"audio":"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA..."}' - - lang: Shell + Httpie - source: >- - echo - '{"audio":"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA..."}' - | \ - http POST https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions \ - content-type:application/json \ - x-api-key:REPLACE_KEY_VALUE - lang: Python + Python3 - source: >- + source: |- import http.client - conn = http.client.HTTPSConnection("apis.sentient.io") - - payload = - "{\"audio\":\"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA...\"}" - + payload = "{\"text\":\"Testing microservice\"}" headers = { 'content-type': "application/json", 'x-api-key': "REPLACE_KEY_VALUE" } - conn.request("POST", - "/microservices/voice/asreng/v0.1/getpredictions", payload, headers) - + conn.request("POST", "/microservices/voice/ttseng/v0.1/getpredictions", payload, headers) res = conn.getresponse() - data = res.read() - print(data.decode("utf-8")) + - lang: Csharp + Restsharp + source: |- + var client = new RestClient("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions"); + var request = new RestRequest(Method.POST); + request.AddHeader("content-type", "application/json"); + request.AddHeader("x-api-key", "REPLACE_KEY_VALUE"); + request.AddParameter("application/json", "{\"text\":\"Testing microservice\"}", ParameterType.RequestBody); + IRestResponse response = client.Execute(request); + - lang: Go + Native + source: "package main\n\nimport (\n\t\"fmt\"\n\t\"strings\"\n\t\"net/http\"\n\t\"io/ioutil\"\n)\n\nfunc main() {\n\n\turl := \"https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions\"\n\n\tpayload := strings.NewReader(\"{\\\"text\\\":\\\"Testing microservice\\\"}\")\n\n\treq, _ := http.NewRequest(\"POST\", url, payload)\n\n\treq.Header.Add(\"content-type\", \"application/json\")\n\treq.Header.Add(\"x-api-key\", \"REPLACE_KEY_VALUE\")\n\n\tres, _ := http.DefaultClient.Do(req)\n\n\tdefer res.Body.Close()\n\tbody, _ := ioutil.ReadAll(res.Body)\n\n\tfmt.Println(res)\n\tfmt.Println(string(body))\n\n}" + - lang: Java + Unirest + source: |- + HttpResponse response = Unirest.post("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") + .header("content-type", "application/json") + .header("x-api-key", "REPLACE_KEY_VALUE") + .body("{\"text\":\"Testing microservice\"}") + .asString(); + - lang: Node + Native + source: |- + const http = require("https"); + + const options = { + "method": "POST", + "hostname": "apis.sentient.io", + "port": null, + "path": "/microservices/voice/ttseng/v0.1/getpredictions", + "headers": { + "content-type": "application/json", + "x-api-key": "REPLACE_KEY_VALUE" + } + }; + + const req = http.request(options, function (res) { + const chunks = []; + + res.on("data", function (chunk) { + chunks.push(chunk); + }); + + res.on("end", function () { + const body = Buffer.concat(chunks); + console.log(body.toString()); + }); + }); + + req.write(JSON.stringify({text: 'Testing microservice'})); + req.end(); - lang: Php + Curl source: |- "https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions", + CURLOPT_URL => "https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions", CURLOPT_RETURNTRANSFER => true, CURLOPT_ENCODING => "", CURLOPT_MAXREDIRS => 10, CURLOPT_TIMEOUT => 30, CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, CURLOPT_CUSTOMREQUEST => "POST", - CURLOPT_POSTFIELDS => "{\"audio\":\"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA...\"}", + CURLOPT_POSTFIELDS => "{\"text\":\"Testing microservice\"}", CURLOPT_HTTPHEADER => [ "content-type: application/json", "x-api-key: REPLACE_KEY_VALUE" @@ -175,68 +182,25 @@ paths: } else { echo $response; } - - lang: Php + Http1 - source: >- - setUrl('https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions'); - - $request->setMethod(HTTP_METH_POST); - - - $request->setHeaders([ - 'content-type' => 'application/json', - 'x-api-key' => 'REPLACE_KEY_VALUE' - ]); - - - $request->setBody('{"audio":"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA..."}'); - - - try { - $response = $request->send(); - - echo $response->getBody(); - } catch (HttpException $ex) { - echo $ex; - } - - lang: Php + Http2 - source: >- - append('{"audio":"data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA..."}'); - - - $request->setRequestUrl('https://apis.sentient.io/microservices/voice/asreng/v0.1/getpredictions'); - - $request->setRequestMethod('POST'); - - $request->setBody($body); - - - $request->setHeaders([ - 'content-type' => 'application/json', - 'x-api-key' => 'REPLACE_KEY_VALUE' - ]); - + - lang: Ruby + Native + source: |- + require 'uri' + require 'net/http' + require 'openssl' - $client->enqueue($request)->send(); + url = URI("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") - $response = $client->getResponse(); + http = Net::HTTP.new(url.host, url.port) + http.use_ssl = true + http.verify_mode = OpenSSL::SSL::VERIFY_NONE + request = Net::HTTP::Post.new(url) + request["content-type"] = 'application/json' + request["x-api-key"] = 'REPLACE_KEY_VALUE' + request.body = "{\"text\":\"Testing microservice\"}" - echo $response->getBody(); + response = http.request(request) + puts response.read_body components: schemas: success: @@ -325,17 +289,17 @@ components: example: Input Limit Exceeded status: type: string - example: Failure + example: Failure versions: type: object - properties: + properties: v0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 01,2018 - description: Initial version release + type: array + items: + oneOf: + - type: string + example: 'Published Date - Oct 01,2018' + description: Initial version release input: type: object required: @@ -346,7 +310,7 @@ components: type: string default: true example: Testing microservice - description: |+ + description: | Input text securitySchemes: APIAuthorizer: From f54f0f227e0495b41643fe136b1e72db899cb6c6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 13 Oct 2020 16:25:02 +0530 Subject: [PATCH 0342/5916] Update text-to-speech_eng.yaml --- yaml/text-to-speech_eng.yaml | 117 +++++++++++++++++++++++++++++++++++ 1 file changed, 117 insertions(+) diff --git a/yaml/text-to-speech_eng.yaml b/yaml/text-to-speech_eng.yaml index 59b695cfe..8570b110b 100644 --- a/yaml/text-to-speech_eng.yaml +++ b/yaml/text-to-speech_eng.yaml @@ -7,6 +7,123 @@ info: The Text-to-Speech AI generated synthesized voice speaks with Singapore English accent. version: '0.1' x-subscribelink: text-to-speech_eng + x-codeSamples: + - lang: Python + Python3 + source: |- + import http.client + + conn = http.client.HTTPSConnection("apis.sentient.io") + + payload = "{\"text\":\"Testing microservice\"}" + + headers = { + 'content-type': "application/json", + 'x-api-key': "REPLACE_KEY_VALUE" + } + + conn.request("POST", "/microservices/voice/ttseng/v0.1/getpredictions", payload, headers) + + res = conn.getresponse() + data = res.read() + + print(data.decode("utf-8")) + - lang: Csharp + Restsharp + source: |- + var client = new RestClient("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions"); + var request = new RestRequest(Method.POST); + request.AddHeader("content-type", "application/json"); + request.AddHeader("x-api-key", "REPLACE_KEY_VALUE"); + request.AddParameter("application/json", "{\"text\":\"Testing microservice\"}", ParameterType.RequestBody); + IRestResponse response = client.Execute(request); + - lang: Go + Native + source: "package main\n\nimport (\n\t\"fmt\"\n\t\"strings\"\n\t\"net/http\"\n\t\"io/ioutil\"\n)\n\nfunc main() {\n\n\turl := \"https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions\"\n\n\tpayload := strings.NewReader(\"{\\\"text\\\":\\\"Testing microservice\\\"}\")\n\n\treq, _ := http.NewRequest(\"POST\", url, payload)\n\n\treq.Header.Add(\"content-type\", \"application/json\")\n\treq.Header.Add(\"x-api-key\", \"REPLACE_KEY_VALUE\")\n\n\tres, _ := http.DefaultClient.Do(req)\n\n\tdefer res.Body.Close()\n\tbody, _ := ioutil.ReadAll(res.Body)\n\n\tfmt.Println(res)\n\tfmt.Println(string(body))\n\n}" + - lang: Java + Unirest + source: |- + HttpResponse response = Unirest.post("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") + .header("content-type", "application/json") + .header("x-api-key", "REPLACE_KEY_VALUE") + .body("{\"text\":\"Testing microservice\"}") + .asString(); + - lang: Node + Native + source: |- + const http = require("https"); + + const options = { + "method": "POST", + "hostname": "apis.sentient.io", + "port": null, + "path": "/microservices/voice/ttseng/v0.1/getpredictions", + "headers": { + "content-type": "application/json", + "x-api-key": "REPLACE_KEY_VALUE" + } + }; + + const req = http.request(options, function (res) { + const chunks = []; + + res.on("data", function (chunk) { + chunks.push(chunk); + }); + + res.on("end", function () { + const body = Buffer.concat(chunks); + console.log(body.toString()); + }); + }); + + req.write(JSON.stringify({text: 'Testing microservice'})); + req.end(); + - lang: Php + Curl + source: |- + "https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions", + CURLOPT_RETURNTRANSFER => true, + CURLOPT_ENCODING => "", + CURLOPT_MAXREDIRS => 10, + CURLOPT_TIMEOUT => 30, + CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, + CURLOPT_CUSTOMREQUEST => "POST", + CURLOPT_POSTFIELDS => "{\"text\":\"Testing microservice\"}", + CURLOPT_HTTPHEADER => [ + "content-type: application/json", + "x-api-key: REPLACE_KEY_VALUE" + ], + ]); + + $response = curl_exec($curl); + $err = curl_error($curl); + + curl_close($curl); + + if ($err) { + echo "cURL Error #:" . $err; + } else { + echo $response; + } + - lang: Ruby + Native + source: |- + require 'uri' + require 'net/http' + require 'openssl' + + url = URI("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") + + http = Net::HTTP.new(url.host, url.port) + http.use_ssl = true + http.verify_mode = OpenSSL::SSL::VERIFY_NONE + + request = Net::HTTP::Post.new(url) + request["content-type"] = 'application/json' + request["x-api-key"] = 'REPLACE_KEY_VALUE' + request.body = "{\"text\":\"Testing microservice\"}" + + response = http.request(request) + puts response.read_body servers: - url: 'https://apis.sentient.io' tags: From 4a7b0bb707b7090dc8b4ae40892db0ffefceb498 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 13 Oct 2020 16:29:21 +0530 Subject: [PATCH 0343/5916] Update text-to-speech_eng.yaml --- yaml/text-to-speech_eng.yaml | 117 ----------------------------------- 1 file changed, 117 deletions(-) diff --git a/yaml/text-to-speech_eng.yaml b/yaml/text-to-speech_eng.yaml index 8570b110b..59b695cfe 100644 --- a/yaml/text-to-speech_eng.yaml +++ b/yaml/text-to-speech_eng.yaml @@ -7,123 +7,6 @@ info: The Text-to-Speech AI generated synthesized voice speaks with Singapore English accent. version: '0.1' x-subscribelink: text-to-speech_eng - x-codeSamples: - - lang: Python + Python3 - source: |- - import http.client - - conn = http.client.HTTPSConnection("apis.sentient.io") - - payload = "{\"text\":\"Testing microservice\"}" - - headers = { - 'content-type': "application/json", - 'x-api-key': "REPLACE_KEY_VALUE" - } - - conn.request("POST", "/microservices/voice/ttseng/v0.1/getpredictions", payload, headers) - - res = conn.getresponse() - data = res.read() - - print(data.decode("utf-8")) - - lang: Csharp + Restsharp - source: |- - var client = new RestClient("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions"); - var request = new RestRequest(Method.POST); - request.AddHeader("content-type", "application/json"); - request.AddHeader("x-api-key", "REPLACE_KEY_VALUE"); - request.AddParameter("application/json", "{\"text\":\"Testing microservice\"}", ParameterType.RequestBody); - IRestResponse response = client.Execute(request); - - lang: Go + Native - source: "package main\n\nimport (\n\t\"fmt\"\n\t\"strings\"\n\t\"net/http\"\n\t\"io/ioutil\"\n)\n\nfunc main() {\n\n\turl := \"https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions\"\n\n\tpayload := strings.NewReader(\"{\\\"text\\\":\\\"Testing microservice\\\"}\")\n\n\treq, _ := http.NewRequest(\"POST\", url, payload)\n\n\treq.Header.Add(\"content-type\", \"application/json\")\n\treq.Header.Add(\"x-api-key\", \"REPLACE_KEY_VALUE\")\n\n\tres, _ := http.DefaultClient.Do(req)\n\n\tdefer res.Body.Close()\n\tbody, _ := ioutil.ReadAll(res.Body)\n\n\tfmt.Println(res)\n\tfmt.Println(string(body))\n\n}" - - lang: Java + Unirest - source: |- - HttpResponse response = Unirest.post("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") - .header("content-type", "application/json") - .header("x-api-key", "REPLACE_KEY_VALUE") - .body("{\"text\":\"Testing microservice\"}") - .asString(); - - lang: Node + Native - source: |- - const http = require("https"); - - const options = { - "method": "POST", - "hostname": "apis.sentient.io", - "port": null, - "path": "/microservices/voice/ttseng/v0.1/getpredictions", - "headers": { - "content-type": "application/json", - "x-api-key": "REPLACE_KEY_VALUE" - } - }; - - const req = http.request(options, function (res) { - const chunks = []; - - res.on("data", function (chunk) { - chunks.push(chunk); - }); - - res.on("end", function () { - const body = Buffer.concat(chunks); - console.log(body.toString()); - }); - }); - - req.write(JSON.stringify({text: 'Testing microservice'})); - req.end(); - - lang: Php + Curl - source: |- - "https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions", - CURLOPT_RETURNTRANSFER => true, - CURLOPT_ENCODING => "", - CURLOPT_MAXREDIRS => 10, - CURLOPT_TIMEOUT => 30, - CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, - CURLOPT_CUSTOMREQUEST => "POST", - CURLOPT_POSTFIELDS => "{\"text\":\"Testing microservice\"}", - CURLOPT_HTTPHEADER => [ - "content-type: application/json", - "x-api-key: REPLACE_KEY_VALUE" - ], - ]); - - $response = curl_exec($curl); - $err = curl_error($curl); - - curl_close($curl); - - if ($err) { - echo "cURL Error #:" . $err; - } else { - echo $response; - } - - lang: Ruby + Native - source: |- - require 'uri' - require 'net/http' - require 'openssl' - - url = URI("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") - - http = Net::HTTP.new(url.host, url.port) - http.use_ssl = true - http.verify_mode = OpenSSL::SSL::VERIFY_NONE - - request = Net::HTTP::Post.new(url) - request["content-type"] = 'application/json' - request["x-api-key"] = 'REPLACE_KEY_VALUE' - request.body = "{\"text\":\"Testing microservice\"}" - - response = http.request(request) - puts response.read_body servers: - url: 'https://apis.sentient.io' tags: From cc0768deac178f10f7facb85c6da584ec815abc6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 15 Oct 2020 16:14:03 +0530 Subject: [PATCH 0344/5916] Add files via upload --- yaml/base64-file-decode.yaml | 202 +++++++++++++++++++++++++++++++++ yaml/base64-file-encode.yaml | 213 +++++++++++++++++++++++++++++++++++ 2 files changed, 415 insertions(+) create mode 100644 yaml/base64-file-decode.yaml create mode 100644 yaml/base64-file-encode.yaml diff --git a/yaml/base64-file-decode.yaml b/yaml/base64-file-decode.yaml new file mode 100644 index 000000000..ace3cd311 --- /dev/null +++ b/yaml/base64-file-decode.yaml @@ -0,0 +1,202 @@ +openapi: 3.0.1 +info: + title: Base64 File Decode + description: |+ + This microservice converts base64 string in to file + version: '1.0' + x-subscribelink: base64_file_decode +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0" + description: "Published Date - Oct 31, 2020" +paths: + /microservices/utility/base64decode/v1/getresults: + post: + tags: + - "1.0" + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + data: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the api status + status: + type: string + example: Success + description: The status of the API call success/failure + audioContent: + type: string + example: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= + description: Audio wav file convert to base64 encode string + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 31,2020 + description: Initial version release + input: + type: object + required: + - text + properties: + data: + x-name: text + type: string + default: true + example: Testing microservice + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml new file mode 100644 index 000000000..dedb2791b --- /dev/null +++ b/yaml/base64-file-encode.yaml @@ -0,0 +1,213 @@ +openapi: 3.0.1 +info: + title: Base64 File Encode + description: |+ + This API is used to encode the file and save it in encoded string format. + version: '1.0' + x-subscribelink: base64_file_encode +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0" + description: "Published Date - Oct 31, 2020" +paths: + /microservices/utility/base64encode/v1/getresults: + post: + tags: + - v1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + data: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + description: Input parameters

FieldType Description
filePathFileRequired. The file object
typeStringOptional. type of return data as xml/hyperlink/json/datauri/plaintext


+ content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + # required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + data: + type: string + description: File convert to base64 encode string + example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + example: upload file + default: true + description: The file object. + type: + type: string + example: "xml" + default: false + description: sample type return data + versions: + type: object + properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 31, 2020 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From d723c5681c5e80fb8cad276ee2553fbb6bca53b5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 15 Oct 2020 16:16:00 +0530 Subject: [PATCH 0345/5916] Update index.yaml --- yaml/index.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/yaml/index.yaml b/yaml/index.yaml index b0a5e0cfa..aa67d9e6a 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -166,6 +166,14 @@ Utility: title: URLs Retrieval versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/urls_retrieval.yaml" + Base64 File Encode: + title: Base64 File Encode + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-encode.yaml" + Base64 File Decode: + title: Base64 File Decode + versions: + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-decode.yaml" Data: HDB Commercial Directories (SG): title: HDB Commercial Directories (SG) From 51dd10a4622d20f2a500c906489c5fdc98a0ca43 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 10:53:00 +1100 Subject: [PATCH 0346/5916] Update index.yaml --- yaml/index.yaml | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index aa67d9e6a..051a09c88 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -1,38 +1,38 @@ Voice: Automatic Voice Recognition ENG: - title: Automatic_Voice_Recognition_ENG + title: automatic_voice_recognition_eng versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_voice_recognition_eng.yaml" Automatic Speech Recognition ENG (SG): - title: Automatic_Speech_Recognition_ENG_(SG) + title: automatic_speech_recognition_eng_sg versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_speech_recognition_eng_sg.yaml" Automatic Speech Recognition CHI (SG): - title: Automatic-Speech-Recognition-CHI-(SG) + title: automatic_speech_recognition_chi_sg versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/automatic_speech_recognition_chi_sg.yaml" Online Automatic Speech Recognition ENG (SG): - title: Online-Automatic-Speech-Recognition-ENG-(SG) + title: online_automatic_speech_recognition_eng_sg versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/online_automatic_speech_recognition_eng_sg.yaml" Online Command Automatic Speech Recognition ENG (SG): - title: Online-Command-Automatic-Speech-Recognition-ENG-(SG) + title: online_command_automatic_speech_recognition_eng_sg versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/online_command_automatic_speech_recognition_eng_sg.yaml" Text-To-Speech ENG: - title: Text-To-Speech-ENG + title: text-to-speech_eng versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/text-to-speech_eng.yaml" Text-To-Speech CHI: - title: Text-To-Speech-CHI + title: text-to-speech_chi versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/text-to-speech_chi.yaml" ASR with Voice Activity Detection ENG (SG): - title: ASR-with-Voice-Activity-Detection-ENG-(SG) + title: asr_with_voice_activity_detection_eng_sg versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/asr_with_vad_eng_sg.yaml" + v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/asr_with_voice_activity_detection_eng_sg.yaml" Voice Activity Detection ENG: - title: Voice-Activity-Detection-ENG + title: voice_activity_detection_eng versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/voice_activity_detection_eng.yaml" NLP: From d77ac8db4e320164d16b63efb03cfda48e338cf9 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 10:53:30 +1100 Subject: [PATCH 0347/5916] Update and rename asr_with_vad_eng_sg.yaml to asr_with_voice_activity_detection_eng_sg.yaml --- ...ng_sg.yaml => asr_with_voice_activity_detection_eng_sg.yaml} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename yaml/{asr_with_vad_eng_sg.yaml => asr_with_voice_activity_detection_eng_sg.yaml} (99%) diff --git a/yaml/asr_with_vad_eng_sg.yaml b/yaml/asr_with_voice_activity_detection_eng_sg.yaml similarity index 99% rename from yaml/asr_with_vad_eng_sg.yaml rename to yaml/asr_with_voice_activity_detection_eng_sg.yaml index 737dbc58e..0a85ca85c 100644 --- a/yaml/asr_with_vad_eng_sg.yaml +++ b/yaml/asr_with_voice_activity_detection_eng_sg.yaml @@ -6,7 +6,7 @@ info: This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k version: '0.1' - x-subscribelink: asr_with_vad_eng_sg + x-subscribelink: asr_with_voice_activity_detection_eng_sg servers: - url: 'https://apis.sentient.io' tags: From 7e3894dae454983de5b0b3f5ee543f9b6439a5f4 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 10:55:01 +1100 Subject: [PATCH 0348/5916] Not in use --- yaml/asr-sg.yaml | 180 ----------------------------------------------- 1 file changed, 180 deletions(-) delete mode 100644 yaml/asr-sg.yaml diff --git a/yaml/asr-sg.yaml b/yaml/asr-sg.yaml deleted file mode 100644 index 35f63e465..000000000 --- a/yaml/asr-sg.yaml +++ /dev/null @@ -1,180 +0,0 @@ -openapi: 3.0.1 -info: - title: Automatic Speech Recognition ENG - description: >- - "This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.

The Automatic Speech Recognition (ASR) AI model is employed to understand the mapping of sound features to actual words in English.

Use this microservice if the audio file consists of mostly speech with no long pauses in between.

Use this microservice if the audio file consists of mostly speech with no long pauses in between.

Authentication:

Authentication is done using the x-api-key in the request header. - version: '0.1' -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Jun 18, 2018" -paths: - /microservices/voice/asreng/v0.1/getpredictions: - post: - tags: - - v0.1 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - description: Input parameters

FieldTypeDescription
audioStringRequired. Input file in base64 format and needs to be prefixed by the data type and encoding.
E.g. "data:audio/wav;base64,<wav in base64 string>"

Audio file should be:
Channel Type mono
Sample Rate 16kHz


- content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Hi there - description: Converted Text - status: - type: string - example: success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - properties: - audio: - type: string - example: - required: true - example: data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA... - description: Required. Input file in base64 format and needs to be prefixed by the data type and encoding.
E.g. "data:audio/wav;base64," - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom From 078bcf497a3735df3dc131895672e6ca7a1273ea Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 16 Oct 2020 09:04:24 +0530 Subject: [PATCH 0349/5916] Update base64-file-encode.yaml --- yaml/base64-file-encode.yaml | 73 +++++++++++++++--------------------- 1 file changed, 31 insertions(+), 42 deletions(-) diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml index dedb2791b..7d4bef26c 100644 --- a/yaml/base64-file-encode.yaml +++ b/yaml/base64-file-encode.yaml @@ -1,20 +1,20 @@ openapi: 3.0.1 info: - title: Base64 File Encode + title: Base64 File Decode description: |+ - This API is used to encode the file and save it in encoded string format. + The Base64 decode algorithm converts plain text into original data. Technically, it can be said that it converts six-bit bytes into eight-bit bytes. The encoded data usually consist of continuous text, even newlines are converted into their base64 encoded forms. Prior decoding all non-encoded whitespaces are stripped from the input to take care of its integrity. version: '1.0' - x-subscribelink: base64_file_encode + x-subscribelink: base64_file_decode servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0" description: "Published Date - Oct 31, 2020" paths: - /microservices/utility/base64encode/v1/getresults: + /microservices/utility/base64decode/v1/getresults: post: tags: - - v1.0 + - "1.0" responses: '200': description: success response @@ -22,11 +22,10 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: - results: - data: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... - message: Successfully Processed - status: Success + example: + url: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fa... + message: Successfully Processed + status: Success '401': description: Unauthorized content: @@ -78,34 +77,28 @@ paths: security: - APIAuthorizer: [] requestBody: - description: Input parameters

FieldType Description
filePathFileRequired. The file object
typeStringOptional. type of return data as xml/hyperlink/json/datauri/plaintext


content: - multipart/form-data: + application/json: schema: $ref: '#/components/schemas/input' - # required: true + required: true components: schemas: success: type: object properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - data: - type: string - description: File convert to base64 encode string - example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... message: type: string example: Successfully Processed - description: Detail description on the API status + description: Detail description on the api status status: type: string example: Success description: The status of the API call success/failure + url: + type: string + example: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fauto%2Fstora... + description: Base64 converted to file and returned as url to download unauthorized: type: object properties: @@ -177,23 +170,7 @@ components: example: Input Limit Exceeded status: type: string - example: Failure - input: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - example: upload file - default: true - description: The file object. - type: - type: string - example: "xml" - default: false - description: sample type return data + example: Failure versions: type: object properties: @@ -202,8 +179,20 @@ components: items: oneOf: - type: string - example: Published Date - Oct 31, 2020 - description: Initial version release + example: Published Date - Oct 31,2020 + description: Initial version release + input: + type: object + required: + - text + properties: + data: + x-name: text + type: string + default: true + example: Test base64 encoded string + description: |+ + Input text securitySchemes: APIAuthorizer: type: apiKey From d22b4437b711107fa60b2458107ad88a42b64f26 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 16 Oct 2020 09:06:29 +0530 Subject: [PATCH 0350/5916] Update base64-file-encode.yaml --- yaml/base64-file-encode.yaml | 73 +++++++++++++++++++++--------------- 1 file changed, 42 insertions(+), 31 deletions(-) diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml index 7d4bef26c..c8e31f35a 100644 --- a/yaml/base64-file-encode.yaml +++ b/yaml/base64-file-encode.yaml @@ -1,20 +1,20 @@ openapi: 3.0.1 info: - title: Base64 File Decode + title: Base64 File Encode description: |+ - The Base64 decode algorithm converts plain text into original data. Technically, it can be said that it converts six-bit bytes into eight-bit bytes. The encoded data usually consist of continuous text, even newlines are converted into their base64 encoded forms. Prior decoding all non-encoded whitespaces are stripped from the input to take care of its integrity. + Base64 encoding schemes are commonly used when there is a need to encode binary data that needs be stored and transferred over media that are designed to deal with textual data.This is to ensure that the data remains intact without modification during transport. Encode file such as HTML, JSON, IMAGE or XML to Base64. version: '1.0' - x-subscribelink: base64_file_decode + x-subscribelink: base64_file_encode servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0" description: "Published Date - Oct 31, 2020" paths: - /microservices/utility/base64decode/v1/getresults: + /microservices/utility/base64encode/v1/getresults: post: tags: - - "1.0" + - v1.0 responses: '200': description: success response @@ -22,10 +22,11 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: - url: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fa... - message: Successfully Processed - status: Success + example: + results: + base64: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... + message: Successfully Processed + status: Success '401': description: Unauthorized content: @@ -77,28 +78,34 @@ paths: security: - APIAuthorizer: [] requestBody: + description: Input parameters

FieldType Description
filePathFileRequired. The file object
typeStringOptional. type of return data as xml/hyperlink/json/datauri/plaintext. plaintext is default if none selected


content: - application/json: + multipart/form-data: schema: $ref: '#/components/schemas/input' - required: true + # required: true components: schemas: success: type: object properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + base64: + type: string + description: File convert to base64 encode string + example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... message: type: string example: Successfully Processed - description: Detail description on the api status + description: Detail description on the API status status: type: string example: Success description: The status of the API call success/failure - url: - type: string - example: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fauto%2Fstora... - description: Base64 converted to file and returned as url to download unauthorized: type: object properties: @@ -170,7 +177,23 @@ components: example: Input Limit Exceeded status: type: string - example: Failure + example: Failure + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + example: upload file + default: true + description: The file object. + type: + type: string + example: "xml" + default: false + description: can choose the return type as plaintext/json/hyperlink/datauri/xml. plaintext is default if none selected versions: type: object properties: @@ -179,20 +202,8 @@ components: items: oneOf: - type: string - example: Published Date - Oct 31,2020 - description: Initial version release - input: - type: object - required: - - text - properties: - data: - x-name: text - type: string - default: true - example: Test base64 encoded string - description: |+ - Input text + example: Published Date - Oct 31, 2020 + description: Initial version release securitySchemes: APIAuthorizer: type: apiKey From e1cd2fd13ec2cff3aa390bedd199883071e342a8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 16 Oct 2020 09:41:23 +0530 Subject: [PATCH 0351/5916] Update base64-file-decode.yaml --- yaml/base64-file-decode.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/yaml/base64-file-decode.yaml b/yaml/base64-file-decode.yaml index ace3cd311..7d4bef26c 100644 --- a/yaml/base64-file-decode.yaml +++ b/yaml/base64-file-decode.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Base64 File Decode description: |+ - This microservice converts base64 string in to file + The Base64 decode algorithm converts plain text into original data. Technically, it can be said that it converts six-bit bytes into eight-bit bytes. The encoded data usually consist of continuous text, even newlines are converted into their base64 encoded forms. Prior decoding all non-encoded whitespaces are stripped from the input to take care of its integrity. version: '1.0' x-subscribelink: base64_file_decode servers: @@ -23,7 +23,7 @@ paths: schema: $ref: '#/components/schemas/success' example: - data: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= + url: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fa... message: Successfully Processed status: Success '401': @@ -95,10 +95,10 @@ components: type: string example: Success description: The status of the API call success/failure - audioContent: + url: type: string - example: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= - description: Audio wav file convert to base64 encode string + example: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fauto%2Fstora... + description: Base64 converted to file and returned as url to download unauthorized: type: object properties: @@ -190,7 +190,7 @@ components: x-name: text type: string default: true - example: Testing microservice + example: Test base64 encoded string description: |+ Input text securitySchemes: From 422c8911d595f1484e621be745685f6e77ba0789 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 17:02:44 +1100 Subject: [PATCH 0352/5916] Update base64-file-encode.yaml --- yaml/base64-file-encode.yaml | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml index c8e31f35a..8aab4ea32 100644 --- a/yaml/base64-file-encode.yaml +++ b/yaml/base64-file-encode.yaml @@ -2,7 +2,14 @@ openapi: 3.0.1 info: title: Base64 File Encode description: |+ - Base64 encoding schemes are commonly used when there is a need to encode binary data that needs be stored and transferred over media that are designed to deal with textual data.This is to ensure that the data remains intact without modification during transport. Encode file such as HTML, JSON, IMAGE or XML to Base64. + This Utility microservice converts given file to Base64 encoded text. This is also known as a binary to text converter. If you are looking for the reverse process, check Base64 File Decode. + Suuported formats are: + Text File - TXT, HTML, CSS, PDF, Excel and Docs + Image File - JPG, PNG, GIF, TIFF, ICO, SVG and WEBP + Audio File - AAC, OGG and WAV + Video File - AVI, M4V, MOV, MP4, MPEG, MPG, VOB, WEBM and WMV + Archive File - TAR and ZIP + Font File - TTF version: '1.0' x-subscribelink: base64_file_encode servers: From 1fd99bbc20baa5e70893d9cc705bf081fac36ff6 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 17:03:08 +1100 Subject: [PATCH 0353/5916] Update base64-file-encode.yaml --- yaml/base64-file-encode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml index 8aab4ea32..cbedf7ff9 100644 --- a/yaml/base64-file-encode.yaml +++ b/yaml/base64-file-encode.yaml @@ -3,7 +3,7 @@ info: title: Base64 File Encode description: |+ This Utility microservice converts given file to Base64 encoded text. This is also known as a binary to text converter. If you are looking for the reverse process, check Base64 File Decode. - Suuported formats are: + Supported formats are: Text File - TXT, HTML, CSS, PDF, Excel and Docs Image File - JPG, PNG, GIF, TIFF, ICO, SVG and WEBP Audio File - AAC, OGG and WAV From 51904c565ed57c3fc350b7f6af0185630dcc929e Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 17:03:36 +1100 Subject: [PATCH 0354/5916] Update base64-file-encode.yaml From 8b4ca798aef948276e11270c4fa24e2ae4a396c8 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 17:10:27 +1100 Subject: [PATCH 0355/5916] Update base64-file-encode.yaml --- yaml/base64-file-encode.yaml | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml index cbedf7ff9..5dc05bfd9 100644 --- a/yaml/base64-file-encode.yaml +++ b/yaml/base64-file-encode.yaml @@ -3,6 +3,7 @@ info: title: Base64 File Encode description: |+ This Utility microservice converts given file to Base64 encoded text. This is also known as a binary to text converter. If you are looking for the reverse process, check Base64 File Decode. + Supported formats are: Text File - TXT, HTML, CSS, PDF, Excel and Docs Image File - JPG, PNG, GIF, TIFF, ICO, SVG and WEBP @@ -103,7 +104,7 @@ components: properties: base64: type: string - description: File convert to base64 encode string + description: Converted base64 encode string example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... message: type: string @@ -200,7 +201,13 @@ components: type: string example: "xml" default: false - description: can choose the return type as plaintext/json/hyperlink/datauri/xml. plaintext is default if none selected + description: |+ + The output type. Possible values are: + 1. plaintext (default) + 2. json + 3. hyperlink + 4. datauri + 5. xml versions: type: object properties: From a61d71173112466a1e5ef154eae04a9ddbf81260 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 17:49:57 +1100 Subject: [PATCH 0356/5916] Update base64-file-decode.yaml --- yaml/base64-file-decode.yaml | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/yaml/base64-file-decode.yaml b/yaml/base64-file-decode.yaml index 7d4bef26c..e2371c7b0 100644 --- a/yaml/base64-file-decode.yaml +++ b/yaml/base64-file-decode.yaml @@ -2,7 +2,8 @@ openapi: 3.0.1 info: title: Base64 File Decode description: |+ - The Base64 decode algorithm converts plain text into original data. Technically, it can be said that it converts six-bit bytes into eight-bit bytes. The encoded data usually consist of continuous text, even newlines are converted into their base64 encoded forms. Prior decoding all non-encoded whitespaces are stripped from the input to take care of its integrity. + This Utility microservice converts base64 string to file. Prior decoding all non-encoded whitespaces are stripped from the input to take care of its integrity. + If you are looking for the reverse process, check Base64 File Encode. version: '1.0' x-subscribelink: base64_file_decode servers: @@ -97,8 +98,8 @@ components: description: The status of the API call success/failure url: type: string - example: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fauto%2Fstora... - description: Base64 converted to file and returned as url to download + example: https://storage.googleapis.com/base64decode/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fauto%2Fstora... + description: Pre-signed URL to download the file unauthorized: type: object properties: @@ -184,15 +185,15 @@ components: input: type: object required: - - text + - base64 properties: - data: + base64: x-name: text type: string default: true - example: Test base64 encoded string + example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAA... description: |+ - Input text + Input base64 encode string securitySchemes: APIAuthorizer: type: apiKey From 7fb8a13146603f6fa1a1307072858a4cee6395c1 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 17:56:35 +1100 Subject: [PATCH 0357/5916] Update index.yaml --- yaml/index.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 051a09c88..c2e7f9bd5 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -167,13 +167,13 @@ Utility: versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/urls_retrieval.yaml" Base64 File Encode: - title: Base64 File Encode + title: base64_file_encode versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-encode.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-encode.yaml" Base64 File Decode: - title: Base64 File Decode + title: base64_file_decode versions: - v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-decode.yaml" + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-decode.yaml" Data: HDB Commercial Directories (SG): title: HDB Commercial Directories (SG) From ac76972f8ed53f365f85ef71550426d59ed59a74 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 18:14:41 +1100 Subject: [PATCH 0358/5916] Update base64-file-decode.yaml --- yaml/base64-file-decode.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/yaml/base64-file-decode.yaml b/yaml/base64-file-decode.yaml index e2371c7b0..7d1ba2e13 100644 --- a/yaml/base64-file-decode.yaml +++ b/yaml/base64-file-decode.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Base64 File Decode description: |+ - This Utility microservice converts base64 string to file. Prior decoding all non-encoded whitespaces are stripped from the input to take care of its integrity. + This Utility microservice converts base64 string to file. If you are looking for the reverse process, check Base64 File Encode. version: '1.0' x-subscribelink: base64_file_decode @@ -188,12 +188,12 @@ components: - base64 properties: base64: - x-name: text + x-name: base64 type: string default: true example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAA... description: |+ - Input base64 encode string + Input base64 encoded string securitySchemes: APIAuthorizer: type: apiKey From 3f1db345a6b4edef41516fbae0266a80caef1fbe Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 18:18:21 +1100 Subject: [PATCH 0359/5916] Update base64-file-encode.yaml --- yaml/base64-file-encode.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml index 5dc05bfd9..2dfb029e8 100644 --- a/yaml/base64-file-encode.yaml +++ b/yaml/base64-file-encode.yaml @@ -197,12 +197,12 @@ components: example: upload file default: true description: The file object. - type: + format: type: string example: "xml" default: false description: |+ - The output type. Possible values are: + The output format. Possible values are: 1. plaintext (default) 2. json 3. hyperlink From 0d667b596fc3e31f09439aad48cd6b40387db165 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 18:20:13 +1100 Subject: [PATCH 0360/5916] Update base64-file-encode.yaml --- yaml/base64-file-encode.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml index 2dfb029e8..1afb3ce8e 100644 --- a/yaml/base64-file-encode.yaml +++ b/yaml/base64-file-encode.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Base64 File Encode description: |+ - This Utility microservice converts given file to Base64 encoded text. This is also known as a binary to text converter. If you are looking for the reverse process, check Base64 File Decode. + This Utility microservice converts uploaded file to Base64 encoded text. This is also known as a binary to text converter. If you are looking for the reverse process, check Base64 File Decode. Supported formats are: Text File - TXT, HTML, CSS, PDF, Excel and Docs @@ -104,7 +104,7 @@ components: properties: base64: type: string - description: Converted base64 encode string + description: Converted base64 encoded text example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... message: type: string From b72193a1a61aed5a03c4be9be6550b987588e05f Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 18:21:20 +1100 Subject: [PATCH 0361/5916] Update base64-file-decode.yaml --- yaml/base64-file-decode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/base64-file-decode.yaml b/yaml/base64-file-decode.yaml index 7d1ba2e13..6e99065d3 100644 --- a/yaml/base64-file-decode.yaml +++ b/yaml/base64-file-decode.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Base64 File Decode description: |+ - This Utility microservice converts base64 string to file. + This Utility microservice converts base64 encoded text to file. If you are looking for the reverse process, check Base64 File Encode. version: '1.0' x-subscribelink: base64_file_decode From e22aa48b636fb0b930cb95e6403e82d7ab0f4895 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 16 Oct 2020 21:39:59 +1100 Subject: [PATCH 0362/5916] Update base64-file-encode.yaml --- yaml/base64-file-encode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml index 1afb3ce8e..2f40ab7a8 100644 --- a/yaml/base64-file-encode.yaml +++ b/yaml/base64-file-encode.yaml @@ -104,7 +104,7 @@ components: properties: base64: type: string - description: Converted base64 encoded text + description: Converted base64 encoded text in the requested output format example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... message: type: string From c4bde15ed36f5c0e2b559c504db3fe10e6d15a4d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 21 Oct 2020 13:04:18 +0530 Subject: [PATCH 0363/5916] Add files via upload --- staple_invoice.yaml | 1589 +++++++++++++++++++++++++++++++++++++++++++ staple_receipt.yaml | 1546 +++++++++++++++++++++++++++++++++++++++++ 2 files changed, 3135 insertions(+) create mode 100644 staple_invoice.yaml create mode 100644 staple_receipt.yaml diff --git a/staple_invoice.yaml b/staple_invoice.yaml new file mode 100644 index 000000000..d5195987e --- /dev/null +++ b/staple_invoice.yaml @@ -0,0 +1,1589 @@ +openapi: 3.0.1 +info: + title: Staple Invoice + description: |+ + Scan the invoice document from file and explore the data by catagorywise. + version: '1.0' + x-subscribelink: staple_invoice +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0" + description: "Published Date - Oct 30, 2020" +paths: + /microservices/utility/stapleinvoice/v1/getresults: + post: + tags: + - v1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + scanDocuments: + data: + BigBoxes: + - box: + - 904 + - 118 + - 1315 + - 189 + - 1109.5 + - 153.5 + - 'sentient.io' + - 'sentient.io' + page: 0 + - box: + - 903 + - 210 + - 1312 + - 229 + - 1107.5 + - 219.5 + - | + NATURALLY + INTELLIGENT + - | + NATURALLY + INTELLIGENT + page: 0 + - box: + - 186 + - 346 + - 366 + - 386 + - 276 + - 366 + - 'INVOICE + + ' + - 'INVOICE + + ' + page: 0 + - box: + - 683 + - 333 + - 798 + - 382 + - 740.5 + - 357.5 + - | + Invoice Date + 02 Oct 2020 + - | + Invoice Date + 02 Oct 2020 + page: 0 + - box: + - 1022 + - 335 + - 1207 + - 466 + - 1114.5 + - 400.5 + - | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + - | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + page: 0 + - box: + - 683 + - 419 + - 841 + - 466 + - 762 + - 442.5 + - | + Account Number + 495 + - | + Account Number + 495 + page: 0 + - box: + - 211 + - 419 + - 376 + - 521 + - 293.5 + - 470 + - | + Al org test + 123 Thomson Rd + 308123 + SINGAPORE + - | + Al org test + 123 Thomson Rd + 308123 + SINGAPORE + page: 0 + - box: + - 683 + - 502 + - 830 + - 548 + - 756.5 + - 525 + - | + Invoice Number + INV-0019 + - | + Invoice Number + INV-0019 + page: 0 + - box: + - 683 + - 585 + - 775 + - 603 + - 729 + - 594 + - 'Reference + + ' + - 'Reference + + ' + page: 0 + - box: + - 170 + - 731 + - 286 + - 757 + - 228 + - 744 + - 'Description + + ' + - 'Description + + ' + page: 0 + - box: + - 578 + - 731 + - 668 + - 757 + - 623 + - 744 + - 'Quantity + + ' + - 'Quantity + + ' + page: 0 + - box: + - 711 + - 731 + - 810 + - 752 + - 760.5 + - 741.5 + - 'Unit Price + + ' + - 'Unit Price + + ' + page: 0 + - box: + - 874 + - 733 + - 954 + - 751 + - 914 + - 742 + - 'Discount + + ' + - 'Discount + + ' + page: 0 + - box: + - 1126 + - 734 + - 1160 + - 752 + - 1143 + - 743 + - 'Tax + + ' + - 'Tax + + ' + page: 0 + - box: + - 1219 + - 733 + - 1347 + - 752 + - 1283 + - 742.5 + - 'Amount USD + + ' + - 'Amount USD + + ' + page: 0 + - box: + - 167 + - 794 + - 397 + - 814 + - 282 + - 804 + - 'Top up of Sentient Credit + + ' + - 'Top up of Sentient Credit + + ' + page: 0 + - box: + - 588 + - 795 + - 667 + - 815 + - 627.5 + - 805 + - '5,000.00 + + ' + - '5,000.00 + + ' + page: 0 + - box: + - 773 + - 794 + - 809 + - 814 + - 791 + - 804 + - '0.01 + + ' + - '0.01 + + ' + page: 0 + - box: + - 904 + - 794 + - 953 + - 812 + - 928.5 + - 803 + - '10.00 + + ' + - '10.00 + + ' + page: 0 + - box: + - 1134 + - 794 + - 1160 + - 812 + - 1147 + - 803 + - '7% + + ' + - '7% + + ' + page: 0 + - box: + - 1298 + - 795 + - 1348 + - 813 + - 1323 + - 804 + - '40.00 + + ' + - '40.00 + + ' + page: 0 + - box: + - 825 + - 836 + - 1169 + - 859 + - 997 + - 847.5 + - 'Subtotal ( includes discount of $ 10.00 ) + + ' + - 'Subtotal ( includes discount of $ 10.00 ) + + ' + page: 0 + - box: + - 1299 + - 838 + - 1348 + - 856 + - 1323.5 + - 847 + - '40.00 + + ' + - '40.00 + + ' + page: 0 + - box: + - 770 + - 877 + - 1169 + - 900 + - 969.5 + - 888.5 + - 'Total Local supply of goods and services 7% + + ' + - 'Total Local supply of goods and services 7% + + ' + page: 0 + - box: + - 1309 + - 879 + - 1348 + - 896 + - 1328.5 + - 887.5 + - '2.80 + + ' + - '2.80 + + ' + page: 0 + - box: + - 1080 + - 921 + - 1169 + - 940 + - 1124.5 + - 930.5 + - 'Total USD + + ' + - 'Total USD + + ' + page: 0 + - box: + - 1299 + - 922 + - 1348 + - 939 + - 1323.5 + - 930.5 + - '42.80 + + ' + - '42.80 + + ' + page: 0 + - box: + - 989 + - 960 + - 1169 + - 986 + - 1079 + - 973 + - 'Total Net Payments + + ' + - 'Total Net Payments + + ' + page: 0 + - box: + - 1309 + - 963 + - 1347 + - 980 + - 1328 + - 971.5 + - '0.00 + + ' + - '0.00 + + ' + page: 0 + - box: + - 1006 + - 1006 + - 1169 + - 1025 + - 1087.5 + - 1015.5 + - 'Amount Due USD + + ' + - 'Amount Due USD + + ' + page: 0 + - box: + - 1298 + - 1006 + - 1349 + - 1025 + - 1323.5 + - 1015.5 + - '42.80 + + ' + - '42.80 + + ' + page: 0 + - box: + - 183 + - 1103 + - 504 + - 1181 + - 343.5 + - 1142 + - | + For GST reporting purposes + * Total Tax equivalent to SGD 3.82 + 1 SGD = 0.732767 USD + - | + For GST reporting purposes + * Total Tax equivalent to SGD 3.82 + 1 SGD = 0.732767 USD + page: 0 + - box: + - 183 + - 1311 + - 1349 + - 1371 + - 766 + - 1341 + - | + Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above Please write your invoice number + at the back of your check Alternatively you may perform a telegraphic transfer to our bank account below + - | + Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above Please write your invoice number + at the back of your check Alternatively you may perform a telegraphic transfer to our bank account below + page: 0 + - box: + - 181 + - 1405 + - 1317 + - 1548 + - 749 + - 1476.5 + - | + Bank DBS Limited + Swift code DBSSSGSG + Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre Tower 3 Singapore 018982 + A/C Name SENTIENT.IO PTE LTD + A/C No.: 003-948675-8 + - | + Bank DBS Limited + Swift code DBSSSGSG + Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre Tower 3 Singapore 018982 + A/C Name SENTIENT.IO PTE LTD + A/C No.: 003-948675-8 + page: 0 + - box: + - 183 + - 1623 + - 415 + - 1642 + - 299 + - 1632.5 + - 'Due Date: 02 Oct 2020 + + ' + - 'Due Date: 02 Oct 2020 + + ' + page: 0 + - box: + - 183 + - 1950 + - 829 + - 1970 + - 506 + - 1960 + - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 + SINGAPORE + + ' + - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 + SINGAPORE + + ' + page: 0 + Currency: + UICategory: VAT & Amounts + UIName: Currency + UIType: Text + matches: + - keyword: + - 1080 + - 921 + - 1169 + - 940 + - 1124.5 + - 930.5 + - Total USD + - Total USD + match: USD + matchmulti: Total USD + page: 0 + value: + - 1080 + - 921 + - 1169 + - 940 + - 1124.5 + - 930.5 + - Total USD + - Total USD + - keyword: + - 1006 + - 1006 + - 1169 + - 1025 + - 1087.5 + - 1015.5 + - Amount Due USD + - Amount Due USD + match: USD + matchmulti: Amount Due USD + page: 0 + value: + - 1006 + - 1006 + - 1169 + - 1025 + - 1087.5 + - 1015.5 + - Amount Due USD + - Amount Due USD + - keyword: + - 183 + - 1131 + - 504 + - 1155 + - 343.5 + - 1143 + - "* Total Tax equivalent to SGD 3.82" + - "* Total Tax equivalent to SGD 3.82" + match: SGD + matchmulti: "* Total Tax equivalent to SGD 3.82" + page: 0 + value: + - 183 + - 1131 + - 504 + - 1155 + - 343.5 + - 1143 + - "* Total Tax equivalent to SGD 3.82" + - "* Total Tax equivalent to SGD 3.82" + Customer: + DetectedText: 'sentient.io NATURALLY INTELLIGENT INVOICE Invoice Date 02 Oct + 2020 Sentient_Mohamed 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 + SINGAPORE Account Number 495 Al org test 123 Thomson Rd 308123 SINGAPORE Invoice + Number INV-0019 Reference Description Quantity Unit Price Discount Tax Amount + USD Top up of Sentient Credit 5,000.00 0.01 10.00 7% 40.00 Subtotal ( includes + discount of $ 10.00 ) 40.00 Total Local supply of goods and services 7% 2.80 + Total USD 42.80 Total Net Payments 0.00 Amount Due USD 42.80 For GST reporting + purposes * Total Tax equivalent to SGD 3.82 1 SGD = 0.732767 USD Make all + checks payable to SENTIENT.IO PTE LTD and mail to our address above Please + write your invoice number at the back of your check Alternatively you may + perform a telegraphic transfer to our bank account below Bank DBS Limited + Swift code DBSSSGSG Bank address 12 Marina Boulevard DBS Asia Central Marina + Bay Financial Centre Tower 3 Singapore 018982 A/C Name SENTIENT.IO PTE LTD + A/C No.: 003-948675-8 Due Date: 02 Oct 2020 Registered Office 3 Fusionopolis + Place # 03-56 GALAXIS WORK LOFT 138523 SINGAPORE ' + DocSize: + - - 2000 + - 1546 + Email: + UICategory: Vendor & Customer + UIName: Email + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + GSTNumber: + UICategory: Vendor & Customer + UIName: GST Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + LineItems: + - - Amount: + - 40 + Description: + - Top up of Sentient Credit + - '5,000.00' + - '0.01' + - '10.00' + - 7% + - Amount: + - 40 + Description: + - Subtotal ( includes discount of $ 10.00 ) + - Amount: + - 2.8 + Description: + - Total Local supply of goods and services 7% + LineItems_standardHeader: + - - Description: Top up of Sentient Credit 5,000.00 0.01 10.00 7% + LineAmount: 40 + Quantity: 1 + UnitAmount: 40 + - Description: Subtotal ( includes discount of $ 10.00 ) + LineAmount: 40 + Quantity: 1 + UnitAmount: 40 + - Description: Total Local supply of goods and services 7% + LineAmount: 2.8 + Quantity: 1 + UnitAmount: 2.8 + OtherDate: + UICategory: Basic Information + UIName: Other Date + UIType: Date + matches: + - keyword: + match: '2020-10-02' + matchmulti: 'Due Date: 02 Oct 2020' + page: 0 + value: + - 183 + - 1623 + - 415 + - 1642 + - 299 + - 1632 + - 'Due Date: 02 Oct 2020' + SenderAddress: + UICategory: Vendor & Customer + UIName: Vendor Address + UIType: Text + matches: + - keyword: + - 904 + - 118 + - 1315 + - 189 + - 1109.5 + - 153.5 + - 'sentient.io + + ' + - 'sentient.io + + ' + match: | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + matchmulti: 'Sentient_Mohamed 3 Fusionopolis Place # 03-56 GALAXIS WORK + LOFT 138523 SINGAPORE' + page: 0 + value: + - 1022 + - 335 + - 1207 + - 466 + - 1114.5 + - 400.5 + - | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + - | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + ServiceCharge: + UICategory: VAT & Amounts + UIName: Service Charge + UIType: Amount + matches: + - keyword: + match: + matchmulti: + page: + value: + SmallBoxes: + - box: + - 904 + - 118 + - 1315 + - 189 + - 1109.5 + - 153.5 + - sentient.io + - sentient.io + page: 0 + - box: + - 903 + - 210 + - 1080 + - 229 + - 991.5 + - 219.5 + - NATURALLY + - NATURALLY + page: 0 + - box: + - 1104 + - 210 + - 1312 + - 229 + - 1208 + - 219.5 + - INTELLIGENT + - INTELLIGENT + page: 0 + - box: + - 186 + - 346 + - 366 + - 386 + - 276 + - 366 + - INVOICE + - INVOICE + page: 0 + - box: + - 684 + - 333 + - 799 + - 355 + - 741.5 + - 344 + - Invoice Date + - Invoice Date + page: 0 + - box: + - 683 + - 363 + - 793 + - 382 + - 738 + - 372.5 + - 02 Oct 2020 + - 02 Oct 2020 + page: 0 + - box: + - 1023 + - 335 + - 1204 + - 355 + - 1113.5 + - 345 + - Sentient_Mohamed + - Sentient_Mohamed + page: 0 + - box: + - 1023 + - 362 + - 1206 + - 385 + - 1114.5 + - 373.5 + - 3 Fusionopolis Place + - 3 Fusionopolis Place + page: 0 + - box: + - 1024 + - 393 + - 1169 + - 411 + - 1096.5 + - 402 + - "# 03-56 GALAXIS" + - "# 03-56 GALAXIS" + page: 0 + - box: + - 1023 + - 419 + - 1204 + - 436 + - 1113.5 + - 427.5 + - WORK LOFT 138523 + - WORK LOFT 138523 + page: 0 + - box: + - 1024 + - 447 + - 1129 + - 466 + - 1076.5 + - 456.5 + - SINGAPORE + - SINGAPORE + page: 0 + - box: + - 683 + - 419 + - 841 + - 438 + - 762 + - 428.5 + - Account Number + - Account Number + page: 0 + - box: + - 683 + - 447 + - 715 + - 466 + - 699 + - 456.5 + - '495' + - '495' + page: 0 + - box: + - 211 + - 419 + - 305 + - 440 + - 258 + - 429.5 + - Al org test + - Al org test + page: 0 + - box: + - 214 + - 445 + - 364 + - 468 + - 289 + - 456.5 + - 123 Thomson Rd + - 123 Thomson Rd + page: 0 + - box: + - 212 + - 474 + - 278 + - 492 + - 245 + - 483 + - '308123' + - '308123' + page: 0 + - box: + - 213 + - 502 + - 318 + - 521 + - 265.5 + - 511.5 + - SINGAPORE + - SINGAPORE + page: 0 + - box: + - 683 + - 501 + - 830 + - 520 + - 756.5 + - 510.5 + - Invoice Number + - Invoice Number + page: 0 + - box: + - 685 + - 530 + - 767 + - 548 + - 726 + - 539 + - INV-0019 + - INV-0019 + page: 0 + - box: + - 683 + - 585 + - 775 + - 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box: + - 183 + - 1343 + - 1277 + - 1371 + - 730 + - 1357 + - at the back of your check Alternatively you may perform a telegraphic transfer + to our bank account below + - at the back of your check Alternatively you may perform a telegraphic transfer + to our bank account below + page: 0 + - box: + - 183 + - 1405 + - 364 + - 1426 + - 273.5 + - 1415.5 + - Bank DBS Limited + - Bank DBS Limited + page: 0 + - box: + - 183 + - 1438 + - 406 + - 1459 + - 294.5 + - 1448.5 + - Swift code DBSSSGSG + - Swift code DBSSSGSG + page: 0 + - box: + - 184 + - 1467 + - 1310 + - 1494 + - 747 + - 1480.5 + - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre + Tower 3 Singapore 018982 + - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre + Tower 3 Singapore 018982 + page: 0 + - box: + - 181 + - 1497 + - 513 + - 1522 + - 347 + - 1509.5 + - A/C Name SENTIENT.IO PTE LTD + - A/C Name SENTIENT.IO PTE LTD + page: 0 + - box: + - 182 + - 1528 + - 415 + - 1552 + - 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APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + properties: + scanDocuments: + type: object + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + description: Initial version release + input: + type: object + required: + - file + - endpointUrl + properties: + file: + type: string + format: binary + default: true + example: upload file + description: The invoice document + endpointUrl: + type: string + default: staple url + description: The staple endpoint url + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/staple_receipt.yaml b/staple_receipt.yaml new file mode 100644 index 000000000..6d47504d6 --- /dev/null +++ b/staple_receipt.yaml @@ -0,0 +1,1546 @@ +openapi: 3.0.1 +info: + title: Staple Receipt + description: |+ + Scan the Receipt document from file and explore the data by catagorywise. + version: '1.0' + x-subscribelink: staple_receipt +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0" + description: "Published Date - Oct 30, 2020" +paths: + /microservices/utility/staplereceipt/v1/getresults: + post: + tags: + - v1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + scanDocuments: + data: + AccountName: + UICategory: Payment Instructions + UIName: Account Name + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + AccountNumber: + UICategory: Payment Instructions + UIName: Account Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + BigBoxes: + - box: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + page: 0 + - box: + - 1148 + - 129 + - 1308 + - 171 + - 1228 + - 150 + - RECEIPT + - RECEIPT + page: 0 + - box: + - 102 + - 208 + - 322 + - 273 + - 212 + - 240.5 + - |- + 1912 Harvest Lane + New York, NY 12210 + - |- + 1912 Harvest Lane + New York , NY 12210 + page: 0 + - 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box: + - 1244 + - 1042 + - 1289 + - 1065 + - 1266.5 + - 1053.5 + - '9.06' + - '9.06' + page: 0 + - box: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + page: 0 + - box: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + page: 0 + - box: + - 102 + - 1728 + - 422 + - 1801 + - 262 + - 1764.5 + - |- + Terms & Conditions + Payment is due within 15 days + - |- + Terms & Conditions + Payment is due within 15 days + page: 0 + - box: + - 104 + - 1841 + - 616 + - 1871 + - 360 + - 1856 + - 'Please make checks payable to: East Repair Inc.' + - 'Please make checks payable to: East Repair Inc.' + page: 0 + BillingAddress: + UICategory: Vendor & Customer + UIName: Billing Address + UIType: Text + matches: + - keyword: + - 102 + - 452 + - 322 + - 591 + - 212 + - 521.5 + - |- + Bill To + John Smith + 2 Court Square + New York, NY 12210 + - |- + Bill To + John Smith + 2 Court Square + New York , NY 12210 + match: |- + John Smith + 2 Court Square + New York, NY 12210 + matchmulti: Bill To John Smith 2 Court Square New York , NY 12210 + page: 0 + value: + - 102 + - 452 + - 322 + - 591 + - 212 + - 521.5 + - |- + Bill To + John Smith + 2 Court Square + New York, NY 12210 + - |- + Bill To + John Smith + 2 Court Square + New York , NY 12210 + CompanyName: + UICategory: Vendor & Customer + UIName: Vendor Name + UIType: Text + matches: + - keyword: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + match: East Repair Inc. + matchmulti: East Repair Inc. + page: 0 + value: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + Currency: + UICategory: VAT & Amounts + UIName: Currency + UIType: Text + matches: + - keyword: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + match: "$" + matchmulti: "$ 154.06" + page: 0 + value: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + Customer: + DetectedText: 'East Repair Inc. RECEIPT 1912 Harvest Lane New York, NY 12210 + US-001 Bill To John Smith 2 Court Square New York, NY 12210 Ship To John Smith + 3787 Pineview Drive Cambridge, MA 12210 Receipt # Receipt Date 11/02/2019 + PO # 2312/2019 Due Date 26/02/2019 QTY DESCRIPTION UNIT PRICE AMOUNT 1 Front + and rear brake cables 100.00 100.00 2 New set of pedal arms 15.00 30.00 3 + Labor 3hrs 5.00 15.00 Subtotal 145.00 Sales Tax 6.25% 9.06 TOTAL $ 154.06 + Terms & Conditions Payment is due within 15 days Please make checks payable + to: East Repair Inc. ' + DocSize: + - - 2000 + - 1413 + Email: + UICategory: Vendor & Customer + UIName: Email + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + Freight: + UICategory: VAT & Amounts + UIName: Freight + UIType: Amount + matches: + - keyword: + match: + matchmulti: + page: + value: + IBAN: + UICategory: Payment Instructions + UIName: IBAN + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + InvoiceDate: + UICategory: Basic Information + UIName: Invoice Date + UIType: Date + matches: + - keyword: + - 972 + - 499 + - 1113 + - 531 + - 1042.5 + - 515 + - Receipt Date + - Receipt Date + match: '2019-11-02' + matchmulti: 11/02/2019 + page: 0 + value: + - 1193 + - 500 + - 1309 + - 527 + - 1251 + - 513.5 + - 11/02/2019 + - 11/02/2019 + InvoiceNumber: + UICategory: Basic Information + UIName: Invoice Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + LineItems: + - - 'AMOUNT ': + - '100.00' + 'DESCRIPTION ': + - Front and rear brake cables + 'QTY ': + - '1' + 'UNIT PRICE ': + - '100.00' + - 'AMOUNT ': + - '30.00' + 'DESCRIPTION ': + - New set of pedal arms + 'QTY ': + - '2' + 'UNIT PRICE ': + - '15.00' + - 'AMOUNT ': + - '15.00' + 'DESCRIPTION ': + - Labor 3hrs + 'QTY ': + - '3' + 'UNIT PRICE ': + - '5.00' + LineItems_standardHeader: + - - Description: Front and rear brake cables + LineAmount: 100 + Quantity: 1 + UnitAmount: 100 + - Description: New set of pedal arms + LineAmount: 30 + Quantity: 2 + UnitAmount: 15 + - Description: Labor 3hrs + LineAmount: 15 + Quantity: 3 + UnitAmount: 5 + OtherAddress: + UICategory: Vendor & Customer + UIName: Other Address + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + OtherDate: + UICategory: Basic Information + UIName: Other Date + UIType: Date + matches: + - keyword: + match: + matchmulti: + page: + value: + PONumber: + UICategory: Vendor & Customer + UIName: PO Number + UIType: Text + matches: + - keyword: + - 1055 + - 553 + - 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keyword: + - 529 + - 454 + - 766 + - 595 + - 647.5 + - 524.5 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge , MA 12210 + match: |- + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + matchmulti: Ship To John Smith 3787 Pineview Drive Cambridge , MA 12210 + page: 0 + value: + - 529 + - 454 + - 766 + - 595 + - 647.5 + - 524.5 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge , MA 12210 + SmallBoxes: + - box: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + page: 0 + - box: + - 1148 + - 129 + - 1308 + - 171 + - 1228 + - 150 + - RECEIPT + - RECEIPT + page: 0 + - box: + - 105 + - 208 + - 302 + - 241 + - 203.5 + - 224.5 + - 1912 Harvest Lane + - 1912 Harvest Lane + page: 0 + - box: + - 102 + - 242 + - 322 + - 273 + - 212 + - 257.5 + - New York, NY 12210 + - New York , NY 12210 + page: 0 + - 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936 + - 920 + - 980 + - 940 + - 958 + - 930 + - '5.00' + - '5.00' + page: 0 + - box: + - 1233 + - 920 + - 1289 + - 941 + - 1261 + - 930.5 + - '15.00' + - '15.00' + page: 0 + - box: + - 897 + - 981 + - 981 + - 1003 + - 939 + - 992 + - Subtotal + - Subtotal + page: 0 + - box: + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' + page: 0 + - box: + - 803 + - 1042 + - 980 + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + page: 0 + - box: + - 1244 + - 1042 + - 1289 + - 1065 + - 1266.5 + - 1053.5 + - '9.06' + - '9.06' + page: 0 + - box: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + page: 0 + - box: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + page: 0 + - box: + - 102 + - 1728 + - 327 + - 1760 + - 214.5 + - 1744 + - Terms & Conditions + - Terms & Conditions + page: 0 + - box: + - 104 + - 1767 + - 422 + - 1801 + - 263 + - 1784 + - Payment is due within 15 days + - Payment is due within 15 days + page: 0 + - box: + - 104 + - 1841 + - 616 + - 1871 + - 360 + - 1856 + - 'Please make checks payable to: East Repair Inc.' + - 'Please make checks payable to: East Repair Inc.' + page: 0 + Subtotal: + UICategory: VAT & Amounts + UIName: Subtotal + UIType: Amount + matches: + - keyword: + - 897 + - 775 + - 981 + - 797 + - 939 + - 992 + - Subtotal + - Subtotal + match: 145 + matchmulti: '145.00' + page: 0 + value: + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' + Supplier: + SwiftCode: + UICategory: Payment Instructions + UIName: Swift Code + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + TableDetected: true + Tables: + - GridX: + - 106 + - 212 + - 797 + - 1002 + - 1309 + GridY: + - 775 + - 833 + - 895 + - 958 + GridYPages: + - 0 + - 0 + - 0 + - 0 + HeaderPage: 0 + header: + - 120 + - 720 + - 1293 + - 761 + headernum: 4 + TaxTotal: + UICategory: VAT & Amounts + UIName: Tax Total + UIType: Amount + matches: + - keyword: + - 803 + - 836 + - 980 + - 857 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + match: 6.2 + matchmulti: Sales Tax 6.25% + page: 0 + value: + - 803 + - 1042 + - 980 + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + Total: + UICategory: VAT & Amounts + UIName: Total + UIType: Amount + matches: + - keyword: + - 872 + - 898 + - 981 + - 931 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + match: 154.06 + matchmulti: "$ 154.06" + page: 0 + value: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + Type: invoice_image + URL: + UICategory: Vendor & Customer + UIName: URL + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + num_pages: 1 + docId: 7650 + status: COMPLETED + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + properties: + scanDocuments: + type: object + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + description: Initial version release + input: + type: object + required: + - file + - endpointUrl + properties: + file: + type: string + format: binary + default: true + example: upload file + description: The receipt document + endpointUrl: + type: string + default: staple url + description: The staple endpoint url + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 92e360fc14e81490b247084c1cf140d12fa152b3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 21 Oct 2020 13:04:30 +0530 Subject: [PATCH 0364/5916] Delete staple_invoice.yaml --- staple_invoice.yaml | 1589 ------------------------------------------- 1 file changed, 1589 deletions(-) delete mode 100644 staple_invoice.yaml diff --git a/staple_invoice.yaml b/staple_invoice.yaml deleted file mode 100644 index d5195987e..000000000 --- a/staple_invoice.yaml +++ /dev/null @@ -1,1589 +0,0 @@ -openapi: 3.0.1 -info: - title: Staple Invoice - description: |+ - Scan the invoice document from file and explore the data by catagorywise. - version: '1.0' - x-subscribelink: staple_invoice -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v1.0" - description: "Published Date - Oct 30, 2020" -paths: - /microservices/utility/stapleinvoice/v1/getresults: - post: - tags: - - v1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - scanDocuments: - data: - BigBoxes: - - box: - - 904 - - 118 - - 1315 - - 189 - - 1109.5 - - 153.5 - - 'sentient.io' - - 'sentient.io' - page: 0 - - box: - - 903 - - 210 - - 1312 - - 229 - - 1107.5 - - 219.5 - - | - NATURALLY - INTELLIGENT - - | - NATURALLY - INTELLIGENT - page: 0 - - box: - - 186 - - 346 - - 366 - - 386 - - 276 - - 366 - - 'INVOICE - - ' - - 'INVOICE - - ' - page: 0 - - box: - - 683 - - 333 - - 798 - - 382 - - 740.5 - - 357.5 - - | - Invoice Date - 02 Oct 2020 - - | - Invoice Date - 02 Oct 2020 - page: 0 - - box: - - 1022 - - 335 - - 1207 - - 466 - - 1114.5 - - 400.5 - - | - Sentient_Mohamed - 3 Fusionopolis Place - # 03-56 GALAXIS - WORK LOFT 138523 - SINGAPORE - - | - Sentient_Mohamed - 3 Fusionopolis Place - # 03-56 GALAXIS - WORK LOFT 138523 - SINGAPORE - page: 0 - - box: - - 683 - - 419 - - 841 - - 466 - - 762 - - 442.5 - - | - Account Number - 495 - - | - Account Number - 495 - page: 0 - - box: - - 211 - - 419 - - 376 - - 521 - - 293.5 - - 470 - - | - Al org test - 123 Thomson Rd - 308123 - SINGAPORE - - | - Al org test - 123 Thomson Rd - 308123 - SINGAPORE - page: 0 - - box: - - 683 - - 502 - - 830 - - 548 - - 756.5 - - 525 - - | - Invoice Number - INV-0019 - - | - Invoice Number - INV-0019 - page: 0 - - box: - - 683 - - 585 - - 775 - - 603 - - 729 - - 594 - - 'Reference - - ' - - 'Reference - - ' - page: 0 - - box: - - 170 - - 731 - - 286 - - 757 - - 228 - - 744 - - 'Description - - ' - - 'Description - - ' - page: 0 - - box: - - 578 - - 731 - - 668 - - 757 - - 623 - - 744 - - 'Quantity - - ' - - 'Quantity - - ' - page: 0 - - box: - - 711 - - 731 - - 810 - - 752 - - 760.5 - - 741.5 - - 'Unit Price - - ' - - 'Unit Price - - ' - page: 0 - - box: - - 874 - - 733 - - 954 - - 751 - - 914 - - 742 - - 'Discount - - ' - - 'Discount - - ' - page: 0 - - box: - - 1126 - - 734 - - 1160 - - 752 - - 1143 - - 743 - - 'Tax - - ' - - 'Tax - - ' - page: 0 - - box: - - 1219 - - 733 - - 1347 - - 752 - - 1283 - - 742.5 - - 'Amount USD - - ' - - 'Amount USD - - ' - page: 0 - - box: - - 167 - - 794 - - 397 - - 814 - - 282 - - 804 - - 'Top up of Sentient Credit - - ' - - 'Top up of Sentient Credit - - ' - page: 0 - - box: - - 588 - - 795 - - 667 - - 815 - - 627.5 - - 805 - - '5,000.00 - - ' - - '5,000.00 - - ' - page: 0 - - box: - - 773 - - 794 - - 809 - - 814 - - 791 - - 804 - - '0.01 - - ' - - '0.01 - - ' - page: 0 - - box: - - 904 - - 794 - - 953 - - 812 - - 928.5 - - 803 - - '10.00 - - ' - - '10.00 - - ' - page: 0 - - box: - - 1134 - - 794 - - 1160 - - 812 - - 1147 - - 803 - - '7% - - ' - - '7% - - ' - page: 0 - - box: - - 1298 - - 795 - - 1348 - - 813 - - 1323 - - 804 - - '40.00 - - ' - - '40.00 - - ' - page: 0 - - box: - - 825 - - 836 - - 1169 - - 859 - - 997 - - 847.5 - - 'Subtotal ( includes discount of $ 10.00 ) - - ' - - 'Subtotal ( includes discount of $ 10.00 ) - - ' - page: 0 - - box: - - 1299 - - 838 - - 1348 - - 856 - - 1323.5 - - 847 - - '40.00 - - ' - - '40.00 - - ' - page: 0 - - box: - - 770 - - 877 - - 1169 - - 900 - - 969.5 - - 888.5 - - 'Total Local supply of goods and services 7% - - ' - - 'Total Local supply of goods and services 7% - - ' - page: 0 - - box: - - 1309 - - 879 - - 1348 - - 896 - - 1328.5 - - 887.5 - - '2.80 - - ' - - '2.80 - - ' - page: 0 - - box: - - 1080 - - 921 - - 1169 - - 940 - - 1124.5 - - 930.5 - - 'Total USD - - ' - - 'Total USD - - ' - page: 0 - - box: - - 1299 - - 922 - - 1348 - - 939 - - 1323.5 - - 930.5 - - '42.80 - - ' - - '42.80 - - ' - page: 0 - - box: - - 989 - - 960 - - 1169 - - 986 - - 1079 - - 973 - - 'Total Net Payments - - ' - - 'Total Net Payments - - ' - page: 0 - - box: - - 1309 - - 963 - - 1347 - - 980 - - 1328 - - 971.5 - - '0.00 - - ' - - '0.00 - - ' - page: 0 - - box: - - 1006 - - 1006 - - 1169 - - 1025 - - 1087.5 - - 1015.5 - - 'Amount Due USD - - ' - - 'Amount Due USD - - ' - page: 0 - - box: - - 1298 - - 1006 - - 1349 - - 1025 - - 1323.5 - - 1015.5 - - '42.80 - - ' - - '42.80 - - ' - page: 0 - - box: - - 183 - - 1103 - - 504 - - 1181 - - 343.5 - - 1142 - - | - For GST reporting purposes - * Total Tax equivalent to SGD 3.82 - 1 SGD = 0.732767 USD - - | - For GST reporting purposes - * Total Tax equivalent to SGD 3.82 - 1 SGD = 0.732767 USD - page: 0 - - box: - - 183 - - 1311 - - 1349 - - 1371 - - 766 - - 1341 - - | - Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above Please write your invoice number - at the back of your check Alternatively you may perform a telegraphic transfer to our bank account below - - | - Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above Please write your invoice number - at the back of your check Alternatively you may perform a telegraphic transfer to our bank account below - page: 0 - - box: - - 181 - - 1405 - - 1317 - - 1548 - - 749 - - 1476.5 - - | - Bank DBS Limited - Swift code DBSSSGSG - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre Tower 3 Singapore 018982 - A/C Name SENTIENT.IO PTE LTD - A/C No.: 003-948675-8 - - | - Bank DBS Limited - Swift code DBSSSGSG - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre Tower 3 Singapore 018982 - A/C Name SENTIENT.IO PTE LTD - A/C No.: 003-948675-8 - page: 0 - - box: - - 183 - - 1623 - - 415 - - 1642 - - 299 - - 1632.5 - - 'Due Date: 02 Oct 2020 - - ' - - 'Due Date: 02 Oct 2020 - - ' - page: 0 - - box: - - 183 - - 1950 - - 829 - - 1970 - - 506 - - 1960 - - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 - SINGAPORE - - ' - - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 - SINGAPORE - - ' - page: 0 - Currency: - UICategory: VAT & Amounts - UIName: Currency - UIType: Text - matches: - - keyword: - - 1080 - - 921 - - 1169 - - 940 - - 1124.5 - - 930.5 - - Total USD - - Total USD - match: USD - matchmulti: Total USD - page: 0 - value: - - 1080 - - 921 - - 1169 - - 940 - - 1124.5 - - 930.5 - - Total USD - - Total USD - - keyword: - - 1006 - - 1006 - - 1169 - - 1025 - - 1087.5 - - 1015.5 - - Amount Due USD - - Amount Due USD - match: USD - matchmulti: Amount Due USD - page: 0 - value: - - 1006 - - 1006 - - 1169 - - 1025 - - 1087.5 - - 1015.5 - - Amount Due USD - - Amount Due USD - - keyword: - - 183 - - 1131 - - 504 - - 1155 - - 343.5 - - 1143 - - "* Total Tax equivalent to SGD 3.82" - - "* Total Tax equivalent to SGD 3.82" - match: SGD - matchmulti: "* Total Tax equivalent to SGD 3.82" - page: 0 - value: - - 183 - - 1131 - - 504 - - 1155 - - 343.5 - - 1143 - - "* Total Tax equivalent to SGD 3.82" - - "* Total Tax equivalent to SGD 3.82" - Customer: - DetectedText: 'sentient.io NATURALLY INTELLIGENT INVOICE Invoice Date 02 Oct - 2020 Sentient_Mohamed 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 - SINGAPORE Account Number 495 Al org test 123 Thomson Rd 308123 SINGAPORE Invoice - Number INV-0019 Reference Description Quantity Unit Price Discount Tax Amount - USD Top up of Sentient Credit 5,000.00 0.01 10.00 7% 40.00 Subtotal ( includes - discount of $ 10.00 ) 40.00 Total Local supply of goods and services 7% 2.80 - Total USD 42.80 Total Net Payments 0.00 Amount Due USD 42.80 For GST reporting - purposes * Total Tax equivalent to SGD 3.82 1 SGD = 0.732767 USD Make all - checks payable to SENTIENT.IO PTE LTD and mail to our address above Please - write your invoice number at the back of your check Alternatively you may - perform a telegraphic transfer to our bank account below Bank DBS Limited - Swift code DBSSSGSG Bank address 12 Marina Boulevard DBS Asia Central Marina - Bay Financial Centre Tower 3 Singapore 018982 A/C Name SENTIENT.IO PTE LTD - A/C No.: 003-948675-8 Due Date: 02 Oct 2020 Registered Office 3 Fusionopolis - Place # 03-56 GALAXIS WORK LOFT 138523 SINGAPORE ' - DocSize: - - - 2000 - - 1546 - Email: - UICategory: Vendor & Customer - UIName: Email - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - GSTNumber: - UICategory: Vendor & Customer - UIName: GST Number - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - LineItems: - - - Amount: - - 40 - Description: - - Top up of Sentient Credit - - '5,000.00' - - '0.01' - - '10.00' - - 7% - - Amount: - - 40 - Description: - - Subtotal ( includes discount of $ 10.00 ) - - Amount: - - 2.8 - Description: - - Total Local supply of goods and services 7% - LineItems_standardHeader: - - - Description: Top up of Sentient Credit 5,000.00 0.01 10.00 7% - LineAmount: 40 - Quantity: 1 - UnitAmount: 40 - - Description: Subtotal ( includes discount of $ 10.00 ) - LineAmount: 40 - Quantity: 1 - UnitAmount: 40 - - Description: Total Local supply of goods and services 7% - 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Please write your invoice number - - Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above - Please write your invoice number - page: 0 - - box: - - 183 - - 1343 - - 1277 - - 1371 - - 730 - - 1357 - - at the back of your check Alternatively you may perform a telegraphic transfer - to our bank account below - - at the back of your check Alternatively you may perform a telegraphic transfer - to our bank account below - page: 0 - - box: - - 183 - - 1405 - - 364 - - 1426 - - 273.5 - - 1415.5 - - Bank DBS Limited - - Bank DBS Limited - page: 0 - - box: - - 183 - - 1438 - - 406 - - 1459 - - 294.5 - - 1448.5 - - Swift code DBSSSGSG - - Swift code DBSSSGSG - page: 0 - - box: - - 184 - - 1467 - - 1310 - - 1494 - - 747 - - 1480.5 - - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre - Tower 3 Singapore 018982 - - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre - Tower 3 Singapore 018982 - page: 0 - - box: - - 181 - 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content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - properties: - scanDocuments: - type: object - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - description: Initial version release - input: - type: object - required: - - file - - endpointUrl - properties: - file: - type: string - format: binary - default: true - example: upload file - description: The invoice document - endpointUrl: - type: string - default: staple url - description: The staple endpoint url - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 82b7dd3b174970c36bc7c0804604bf7cd7eea826 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 21 Oct 2020 13:04:38 +0530 Subject: [PATCH 0365/5916] Delete staple_receipt.yaml --- staple_receipt.yaml | 1546 ------------------------------------------- 1 file changed, 1546 deletions(-) delete mode 100644 staple_receipt.yaml diff --git a/staple_receipt.yaml b/staple_receipt.yaml deleted file mode 100644 index 6d47504d6..000000000 --- a/staple_receipt.yaml +++ /dev/null @@ -1,1546 +0,0 @@ -openapi: 3.0.1 -info: - title: Staple Receipt - description: |+ - Scan the Receipt document from file and explore the data by catagorywise. - version: '1.0' - x-subscribelink: staple_receipt -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v1.0" - 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RECEIPT 1912 Harvest Lane New York, NY 12210 - US-001 Bill To John Smith 2 Court Square New York, NY 12210 Ship To John Smith - 3787 Pineview Drive Cambridge, MA 12210 Receipt # Receipt Date 11/02/2019 - PO # 2312/2019 Due Date 26/02/2019 QTY DESCRIPTION UNIT PRICE AMOUNT 1 Front - and rear brake cables 100.00 100.00 2 New set of pedal arms 15.00 30.00 3 - Labor 3hrs 5.00 15.00 Subtotal 145.00 Sales Tax 6.25% 9.06 TOTAL $ 154.06 - Terms & Conditions Payment is due within 15 days Please make checks payable - to: East Repair Inc. 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content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - properties: - scanDocuments: - type: object - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - description: Initial version release - input: - type: object - required: - - file - - endpointUrl - properties: - file: - type: string - format: binary - default: true - example: upload file - description: The receipt document - endpointUrl: - type: string - default: staple url - description: The staple endpoint url - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From f34cb46144b363c2bcde0f7202ad58352e398f94 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 21 Oct 2020 13:04:55 +0530 Subject: [PATCH 0366/5916] Add files via upload --- yaml/staple_invoice.yaml | 1589 ++++++++++++++++++++++++++++++++++++++ yaml/staple_receipt.yaml | 1546 ++++++++++++++++++++++++++++++++++++ 2 files changed, 3135 insertions(+) create mode 100644 yaml/staple_invoice.yaml create mode 100644 yaml/staple_receipt.yaml diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml new file mode 100644 index 000000000..d5195987e --- /dev/null +++ b/yaml/staple_invoice.yaml @@ -0,0 +1,1589 @@ +openapi: 3.0.1 +info: + title: Staple Invoice + description: |+ + Scan the invoice document from file and explore the data by catagorywise. + version: '1.0' + x-subscribelink: staple_invoice +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0" + description: "Published Date - Oct 30, 2020" +paths: + /microservices/utility/stapleinvoice/v1/getresults: + post: + tags: + - v1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + scanDocuments: + data: + BigBoxes: + - box: + - 904 + - 118 + - 1315 + - 189 + - 1109.5 + - 153.5 + - 'sentient.io' + - 'sentient.io' + page: 0 + - box: + - 903 + - 210 + - 1312 + - 229 + - 1107.5 + - 219.5 + - | + NATURALLY + INTELLIGENT + - | + NATURALLY + INTELLIGENT + page: 0 + - box: + - 186 + - 346 + - 366 + - 386 + - 276 + - 366 + - 'INVOICE + + ' + - 'INVOICE + + ' + page: 0 + - box: + - 683 + - 333 + - 798 + - 382 + - 740.5 + - 357.5 + - | + Invoice Date + 02 Oct 2020 + - | + Invoice Date + 02 Oct 2020 + page: 0 + - box: + - 1022 + - 335 + - 1207 + - 466 + - 1114.5 + - 400.5 + - | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + - | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + page: 0 + - box: + - 683 + - 419 + - 841 + - 466 + - 762 + - 442.5 + - | + Account Number + 495 + - | + Account Number + 495 + page: 0 + - box: + - 211 + - 419 + - 376 + - 521 + - 293.5 + - 470 + - | + Al org test + 123 Thomson Rd + 308123 + SINGAPORE + - | + Al org test + 123 Thomson Rd + 308123 + SINGAPORE + page: 0 + - box: + - 683 + - 502 + - 830 + - 548 + - 756.5 + - 525 + - | + Invoice Number + INV-0019 + - | + Invoice Number + INV-0019 + page: 0 + - box: + - 683 + - 585 + - 775 + - 603 + - 729 + - 594 + - 'Reference + + ' + - 'Reference + + ' + page: 0 + - box: + - 170 + - 731 + - 286 + - 757 + - 228 + - 744 + - 'Description + + ' + - 'Description + + ' + page: 0 + - box: + - 578 + - 731 + - 668 + - 757 + - 623 + - 744 + - 'Quantity + + ' + - 'Quantity + + ' + page: 0 + - box: + - 711 + - 731 + - 810 + - 752 + - 760.5 + - 741.5 + - 'Unit Price + + ' + - 'Unit Price + + ' + page: 0 + - box: + - 874 + - 733 + - 954 + - 751 + - 914 + - 742 + - 'Discount + + ' + - 'Discount + + ' + page: 0 + - box: + - 1126 + - 734 + - 1160 + - 752 + - 1143 + - 743 + - 'Tax + + ' + - 'Tax + + ' + page: 0 + - box: + - 1219 + - 733 + - 1347 + - 752 + - 1283 + - 742.5 + - 'Amount USD + + ' + - 'Amount USD + + ' + page: 0 + - box: + - 167 + - 794 + - 397 + - 814 + - 282 + - 804 + - 'Top up of Sentient Credit + + ' + - 'Top up of Sentient Credit + + ' + page: 0 + - box: + - 588 + - 795 + - 667 + - 815 + - 627.5 + - 805 + - '5,000.00 + + ' + - '5,000.00 + + ' + page: 0 + - box: + - 773 + - 794 + - 809 + - 814 + - 791 + - 804 + - '0.01 + + ' + - '0.01 + + ' + page: 0 + - box: + - 904 + - 794 + - 953 + - 812 + - 928.5 + - 803 + - '10.00 + + ' + - '10.00 + + ' + page: 0 + - box: + - 1134 + - 794 + - 1160 + - 812 + - 1147 + - 803 + - '7% + + ' + - '7% + + ' + page: 0 + - box: + - 1298 + - 795 + - 1348 + - 813 + - 1323 + - 804 + - '40.00 + + ' + - '40.00 + + ' + page: 0 + - box: + - 825 + - 836 + - 1169 + - 859 + - 997 + - 847.5 + - 'Subtotal ( includes discount of $ 10.00 ) + + ' + - 'Subtotal ( includes discount of $ 10.00 ) + + ' + page: 0 + - box: + - 1299 + - 838 + - 1348 + - 856 + - 1323.5 + - 847 + - '40.00 + + ' + - '40.00 + + ' + page: 0 + - box: + - 770 + - 877 + - 1169 + - 900 + - 969.5 + - 888.5 + - 'Total Local supply of goods and services 7% + + ' + - 'Total Local supply of goods and services 7% + + ' + page: 0 + - box: + - 1309 + - 879 + - 1348 + - 896 + - 1328.5 + - 887.5 + - '2.80 + + ' + - '2.80 + + ' + page: 0 + - box: + - 1080 + - 921 + - 1169 + - 940 + - 1124.5 + - 930.5 + - 'Total USD + + ' + - 'Total USD + + ' + page: 0 + - box: + - 1299 + - 922 + - 1348 + - 939 + - 1323.5 + - 930.5 + - '42.80 + + ' + - '42.80 + + ' + page: 0 + - box: + - 989 + - 960 + - 1169 + - 986 + - 1079 + - 973 + - 'Total Net Payments + + ' + - 'Total Net Payments + + ' + page: 0 + - box: + - 1309 + - 963 + - 1347 + - 980 + - 1328 + - 971.5 + - '0.00 + + ' + - '0.00 + + ' + page: 0 + - box: + - 1006 + - 1006 + - 1169 + - 1025 + - 1087.5 + - 1015.5 + - 'Amount Due USD + + ' + - 'Amount Due USD + + ' + page: 0 + - box: + - 1298 + - 1006 + - 1349 + - 1025 + - 1323.5 + - 1015.5 + - '42.80 + + ' + - '42.80 + + ' + page: 0 + - box: + - 183 + - 1103 + - 504 + - 1181 + - 343.5 + - 1142 + - | + For GST reporting purposes + * Total Tax equivalent to SGD 3.82 + 1 SGD = 0.732767 USD + - | + For GST reporting purposes + * Total Tax equivalent to SGD 3.82 + 1 SGD = 0.732767 USD + page: 0 + - box: + - 183 + - 1311 + - 1349 + - 1371 + - 766 + - 1341 + - | + Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above Please write your invoice number + at the back of your check Alternatively you may perform a telegraphic transfer to our bank account below + - | + Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above Please write your invoice number + at the back of your check Alternatively you may perform a telegraphic transfer to our bank account below + page: 0 + - box: + - 181 + - 1405 + - 1317 + - 1548 + - 749 + - 1476.5 + - | + Bank DBS Limited + Swift code DBSSSGSG + Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre Tower 3 Singapore 018982 + A/C Name SENTIENT.IO PTE LTD + A/C No.: 003-948675-8 + - | + Bank DBS Limited + Swift code DBSSSGSG + Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre Tower 3 Singapore 018982 + A/C Name SENTIENT.IO PTE LTD + A/C No.: 003-948675-8 + page: 0 + - box: + - 183 + - 1623 + - 415 + - 1642 + - 299 + - 1632.5 + - 'Due Date: 02 Oct 2020 + + ' + - 'Due Date: 02 Oct 2020 + + ' + page: 0 + - box: + - 183 + - 1950 + - 829 + - 1970 + - 506 + - 1960 + - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 + SINGAPORE + + ' + - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 + SINGAPORE + + ' + page: 0 + Currency: + UICategory: VAT & Amounts + UIName: Currency + UIType: Text + matches: + - keyword: + - 1080 + - 921 + - 1169 + - 940 + - 1124.5 + - 930.5 + - Total USD + - Total USD + match: USD + matchmulti: Total USD + page: 0 + value: + - 1080 + - 921 + - 1169 + - 940 + - 1124.5 + - 930.5 + - Total USD + - Total USD + - keyword: + - 1006 + - 1006 + - 1169 + - 1025 + - 1087.5 + - 1015.5 + - Amount Due USD + - Amount Due USD + match: USD + matchmulti: Amount Due USD + page: 0 + value: + - 1006 + - 1006 + - 1169 + - 1025 + - 1087.5 + - 1015.5 + - Amount Due USD + - Amount Due USD + - keyword: + - 183 + - 1131 + - 504 + - 1155 + - 343.5 + - 1143 + - "* Total Tax equivalent to SGD 3.82" + - "* Total Tax equivalent to SGD 3.82" + match: SGD + matchmulti: "* Total Tax equivalent to SGD 3.82" + page: 0 + value: + - 183 + - 1131 + - 504 + - 1155 + - 343.5 + - 1143 + - "* Total Tax equivalent to SGD 3.82" + - "* Total Tax equivalent to SGD 3.82" + Customer: + DetectedText: 'sentient.io NATURALLY INTELLIGENT INVOICE Invoice Date 02 Oct + 2020 Sentient_Mohamed 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 + SINGAPORE Account Number 495 Al org test 123 Thomson Rd 308123 SINGAPORE Invoice + Number INV-0019 Reference Description Quantity Unit Price Discount Tax Amount + USD Top up of Sentient Credit 5,000.00 0.01 10.00 7% 40.00 Subtotal ( includes + discount of $ 10.00 ) 40.00 Total Local supply of goods and services 7% 2.80 + Total USD 42.80 Total Net Payments 0.00 Amount Due USD 42.80 For GST reporting + purposes * Total Tax equivalent to SGD 3.82 1 SGD = 0.732767 USD Make all + checks payable to SENTIENT.IO PTE LTD and mail to our address above Please + write your invoice number at the back of your check Alternatively you may + perform a telegraphic transfer to our bank account below Bank DBS Limited + Swift code DBSSSGSG Bank address 12 Marina Boulevard DBS Asia Central Marina + Bay Financial Centre Tower 3 Singapore 018982 A/C Name SENTIENT.IO PTE LTD + A/C No.: 003-948675-8 Due Date: 02 Oct 2020 Registered Office 3 Fusionopolis + Place # 03-56 GALAXIS WORK LOFT 138523 SINGAPORE ' + DocSize: + - - 2000 + - 1546 + Email: + UICategory: Vendor & Customer + UIName: Email + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + GSTNumber: + UICategory: Vendor & Customer + UIName: GST Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + LineItems: + - - Amount: + - 40 + Description: + - Top up of Sentient Credit + - '5,000.00' + - '0.01' + - '10.00' + - 7% + - Amount: + - 40 + Description: + - Subtotal ( includes discount of $ 10.00 ) + - Amount: + - 2.8 + Description: + - Total Local supply of goods and services 7% + LineItems_standardHeader: + - - Description: Top up of Sentient Credit 5,000.00 0.01 10.00 7% + LineAmount: 40 + Quantity: 1 + UnitAmount: 40 + - Description: Subtotal ( includes discount of $ 10.00 ) + LineAmount: 40 + Quantity: 1 + UnitAmount: 40 + - Description: Total Local supply of goods and services 7% + LineAmount: 2.8 + Quantity: 1 + UnitAmount: 2.8 + OtherDate: + UICategory: Basic Information + UIName: Other Date + UIType: Date + matches: + - keyword: + match: '2020-10-02' + matchmulti: 'Due Date: 02 Oct 2020' + page: 0 + value: + - 183 + - 1623 + - 415 + - 1642 + - 299 + - 1632 + - 'Due Date: 02 Oct 2020' + SenderAddress: + UICategory: Vendor & Customer + UIName: Vendor Address + UIType: Text + matches: + - keyword: + - 904 + - 118 + - 1315 + - 189 + - 1109.5 + - 153.5 + - 'sentient.io + + ' + - 'sentient.io + + ' + match: | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + matchmulti: 'Sentient_Mohamed 3 Fusionopolis Place # 03-56 GALAXIS WORK + LOFT 138523 SINGAPORE' + page: 0 + value: + - 1022 + - 335 + - 1207 + - 466 + - 1114.5 + - 400.5 + - | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + - | + Sentient_Mohamed + 3 Fusionopolis Place + # 03-56 GALAXIS + WORK LOFT 138523 + SINGAPORE + ServiceCharge: + UICategory: VAT & Amounts + UIName: Service Charge + UIType: Amount + matches: + - keyword: + match: + matchmulti: + page: + value: + SmallBoxes: + - box: + - 904 + - 118 + - 1315 + - 189 + - 1109.5 + - 153.5 + - sentient.io + - sentient.io + page: 0 + - box: + - 903 + - 210 + - 1080 + - 229 + - 991.5 + - 219.5 + - NATURALLY + - NATURALLY + page: 0 + - box: + - 1104 + - 210 + - 1312 + - 229 + - 1208 + - 219.5 + - INTELLIGENT + - INTELLIGENT + page: 0 + - box: + - 186 + - 346 + - 366 + - 386 + - 276 + - 366 + - INVOICE + - INVOICE + page: 0 + - box: + - 684 + - 333 + - 799 + - 355 + - 741.5 + - 344 + - Invoice Date + - Invoice Date + page: 0 + - box: + - 683 + - 363 + - 793 + - 382 + - 738 + - 372.5 + - 02 Oct 2020 + - 02 Oct 2020 + page: 0 + - box: + - 1023 + - 335 + - 1204 + - 355 + - 1113.5 + - 345 + - Sentient_Mohamed + - Sentient_Mohamed + page: 0 + - box: + - 1023 + - 362 + - 1206 + - 385 + - 1114.5 + - 373.5 + - 3 Fusionopolis Place + - 3 Fusionopolis Place + page: 0 + - box: + - 1024 + - 393 + - 1169 + - 411 + - 1096.5 + - 402 + - "# 03-56 GALAXIS" + - "# 03-56 GALAXIS" + page: 0 + - box: + - 1023 + - 419 + - 1204 + - 436 + - 1113.5 + - 427.5 + - WORK LOFT 138523 + - WORK LOFT 138523 + page: 0 + - box: + - 1024 + - 447 + - 1129 + - 466 + - 1076.5 + - 456.5 + - SINGAPORE + - SINGAPORE + page: 0 + - box: + - 683 + - 419 + - 841 + - 438 + - 762 + - 428.5 + - Account Number + - Account Number + page: 0 + - box: + - 683 + - 447 + - 715 + - 466 + - 699 + - 456.5 + - '495' + - '495' + page: 0 + - box: + - 211 + - 419 + - 305 + - 440 + - 258 + - 429.5 + - Al org test + - Al org test + page: 0 + - box: + - 214 + - 445 + - 364 + - 468 + - 289 + - 456.5 + - 123 Thomson Rd + - 123 Thomson Rd + page: 0 + - box: + - 212 + - 474 + - 278 + - 492 + - 245 + - 483 + - '308123' + - '308123' + page: 0 + - box: + - 213 + - 502 + - 318 + - 521 + - 265.5 + - 511.5 + - SINGAPORE + - SINGAPORE + page: 0 + - box: + - 683 + - 501 + - 830 + - 520 + - 756.5 + - 510.5 + - Invoice Number + - Invoice Number + page: 0 + - box: + - 685 + - 530 + - 767 + - 548 + - 726 + - 539 + - INV-0019 + - INV-0019 + page: 0 + - box: + - 683 + - 585 + - 775 + - 603 + - 729 + - 594 + - Reference + - Reference + page: 0 + - box: + - 170 + - 731 + - 286 + - 757 + - 228 + - 744 + - Description + - Description + page: 0 + - box: + - 578 + - 731 + - 668 + - 757 + - 623 + - 744 + - Quantity + - Quantity + page: 0 + - box: + - 711 + - 732 + - 810 + - 753 + - 760.5 + - 742.5 + - Unit Price + - Unit Price + page: 0 + - box: + - 874 + - 733 + - 954 + - 751 + - 914 + - 742 + - Discount + - Discount + page: 0 + - box: + - 1126 + - 734 + - 1160 + - 752 + - 1143 + - 743 + - Tax + - Tax + page: 0 + - box: + - 1219 + - 733 + - 1347 + - 752 + - 1283 + - 742.5 + - AmountUSD + - Amount USD + page: 0 + - box: + - 167 + - 793 + - 397 + - 815 + - 282 + - 804 + - Top up of Sentient Credit + - Top up of Sentient Credit + page: 0 + - box: + - 588 + - 795 + - 667 + - 815 + - 627.5 + - 805 + - '5,000.00' + - '5,000.00' + page: 0 + - box: + - 773 + - 794 + - 809 + - 814 + - 791 + - 804 + - '0.01' + - '0.01' + page: 0 + - box: + - 904 + - 794 + - 953 + - 812 + - 928.5 + - 803 + - '10.00' + - '10.00' + page: 0 + - box: + - 1134 + - 794 + - 1160 + - 813 + - 1147 + - 803.5 + - 7% + - 7% + page: 0 + - box: + - 1298 + - 795 + - 1348 + - 813 + - 1323 + - 804 + - '40.00' + - '40.00' + page: 0 + - box: + - 825 + - 836 + - 1169 + - 859 + - 997 + - 847.5 + - Subtotal ( includes discount of $ 10.00 ) + - Subtotal ( includes discount of $ 10.00 ) + page: 0 + - box: + - 1299 + - 838 + - 1348 + - 856 + - 1323.5 + - 847 + - '40.00' + - '40.00' + page: 0 + - box: + - 770 + - 877 + - 1169 + - 900 + - 969.5 + - 888.5 + - Total Local supply of goods and services 7% + - Total Local supply of goods and services 7% + page: 0 + - box: + - 1309 + - 879 + - 1348 + - 896 + - 1328.5 + - 887.5 + - '2.80' + - '2.80' + page: 0 + - box: + - 1080 + - 921 + - 1169 + - 940 + - 1124.5 + - 930.5 + - Total USD + - Total USD + page: 0 + - box: + - 1299 + - 922 + - 1348 + - 939 + - 1323.5 + - 930.5 + - '42.80' + - '42.80' + page: 0 + - box: + - 989 + - 960 + - 1169 + - 986 + - 1079 + - 973 + - Total Net Payments + - Total Net Payments + page: 0 + - box: + - 1309 + - 963 + - 1347 + - 980 + - 1328 + - 971.5 + - '0.00' + - '0.00' + page: 0 + - box: + - 1006 + - 1006 + - 1169 + - 1025 + - 1087.5 + - 1015.5 + - Amount Due USD + - Amount Due USD + page: 0 + - box: + - 1298 + - 1006 + - 1349 + - 1025 + - 1323.5 + - 1015.5 + - '42.80' + - '42.80' + page: 0 + - box: + - 183 + - 1103 + - 437 + - 1128 + - 310 + - 1115.5 + - For GST reporting purposes + - For GST reporting purposes + page: 0 + - box: + - 183 + - 1131 + - 504 + - 1155 + - 343.5 + - 1143 + - "* Total Tax equivalent to SGD 3.82" + - "* Total Tax equivalent to SGD 3.82" + page: 0 + - box: + - 184 + - 1158 + - 387 + - 1177 + - 285.5 + - 1167.5 + - 1 SGD = 0.732767 USD + - 1 SGD = 0.732767 USD + page: 0 + - box: + - 184 + - 1311 + - 1349 + - 1338 + - 766.5 + - 1324.5 + - Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above + Please write your invoice number + - Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above + Please write your invoice number + page: 0 + - box: + - 183 + - 1343 + - 1277 + - 1371 + - 730 + - 1357 + - at the back of your check Alternatively you may perform a telegraphic transfer + to our bank account below + - at the back of your check Alternatively you may perform a telegraphic transfer + to our bank account below + page: 0 + - box: + - 183 + - 1405 + - 364 + - 1426 + - 273.5 + - 1415.5 + - Bank DBS Limited + - Bank DBS Limited + page: 0 + - box: + - 183 + - 1438 + - 406 + - 1459 + - 294.5 + - 1448.5 + - Swift code DBSSSGSG + - Swift code DBSSSGSG + page: 0 + - box: + - 184 + - 1467 + - 1310 + - 1494 + - 747 + - 1480.5 + - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre + Tower 3 Singapore 018982 + - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre + Tower 3 Singapore 018982 + page: 0 + - box: + - 181 + - 1497 + - 513 + - 1522 + - 347 + - 1509.5 + - A/C Name SENTIENT.IO PTE LTD + - A/C Name SENTIENT.IO PTE LTD + page: 0 + - box: + - 182 + - 1528 + - 415 + - 1552 + - 298.5 + - 1540 + - 'A/C No.: 003-948675-8' + - 'A/C No.: 003-948675-8' + page: 0 + - box: + - 183 + - 1623 + - 415 + - 1642 + - 299 + - 1632.5 + - 'Due Date: 02 Oct 2020' + - 'Due Date: 02 Oct 2020' + page: 0 + - box: + - 183 + - 1950 + - 829 + - 1970 + - 506 + - 1960 + - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 + SINGAPORE' + - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 + SINGAPORE' + page: 0 + Subtotal: + UICategory: VAT & Amounts + UIName: Subtotal + UIType: Amount + matches: + - keyword: + match: + matchmulti: + page: + value: + Supplier: + TableDetected: true + Tables: + - GridX: + - 167 + - 1288 + - 1358 + GridY: + - 795 + - 838 + - 879 + - 916 + GridYPages: + - 0 + - 0 + - 0 + - 0 + HeaderPage: 0 + header: [] + headernum: 2 + TaxTotal: + UICategory: VAT & Amounts + UIName: Tax Total + UIType: Amount + matches: + - keyword: + - 183 + - 1131 + - 504 + - 1155 + - 343.5 + - 1143 + - "* Total Tax equivalent to SGD 3.82" + - "* Total Tax equivalent to SGD 3.82" + match: 3.82 + matchmulti: "* Total Tax equivalent to SGD 3.82" + page: 0 + value: + - 183 + - 1131 + - 504 + - 1155 + - 343.5 + - 1143 + - "* Total Tax equivalent to SGD 3.82" + - "* Total Tax equivalent to SGD 3.82" + Total: + UICategory: VAT & Amounts + UIName: Total + UIType: Amount + matches: + - keyword: + - 1006 + - 1006 + - 1169 + - 1025 + - 1087.5 + - 1015.5 + - Amount Due USD + - Amount Due USD + match: 42.8 + matchmulti: '42.80' + page: 0 + value: + - 1298 + - 1006 + - 1349 + - 1025 + - 1323.5 + - 1015.5 + - '42.80' + - '42.80' + Type: receipt + UENNumber: + UICategory: Vendor & Customer + UIName: UEN Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + URL: + UICategory: Vendor & Customer + UIName: URL + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + num_pages: 1 + docId: 7658 + status: COMPLETED + status: Success + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + properties: + scanDocuments: + type: object + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + description: Initial version release + input: + type: object + required: + - file + - endpointUrl + properties: + file: + type: string + format: binary + default: true + example: upload file + description: The invoice document + endpointUrl: + type: string + default: staple url + description: The staple endpoint url + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/yaml/staple_receipt.yaml b/yaml/staple_receipt.yaml new file mode 100644 index 000000000..6d47504d6 --- /dev/null +++ b/yaml/staple_receipt.yaml @@ -0,0 +1,1546 @@ +openapi: 3.0.1 +info: + title: Staple Receipt + description: |+ + Scan the Receipt document from file and explore the data by catagorywise. + version: '1.0' + x-subscribelink: staple_receipt +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0" + description: "Published Date - Oct 30, 2020" +paths: + /microservices/utility/staplereceipt/v1/getresults: + post: + tags: + - v1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + scanDocuments: + data: + AccountName: + UICategory: Payment Instructions + UIName: Account Name + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + AccountNumber: + UICategory: Payment Instructions + UIName: Account Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + BigBoxes: + - box: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + page: 0 + - box: + - 1148 + - 129 + - 1308 + - 171 + - 1228 + - 150 + - RECEIPT + - RECEIPT + page: 0 + - box: + - 102 + - 208 + - 322 + - 273 + - 212 + - 240.5 + - |- + 1912 Harvest Lane + New York, NY 12210 + - |- + 1912 Harvest Lane + New York , NY 12210 + page: 0 + - box: + - 1232 + - 455 + - 1307 + - 479 + - 1269.5 + - 467 + - US-001 + - US-001 + page: 0 + - box: + - 102 + - 452 + - 322 + - 591 + - 212 + - 521.5 + - |- + Bill To + John Smith + 2 Court Square + New York, NY 12210 + - |- + Bill To + John Smith + 2 Court Square + New York , NY 12210 + page: 0 + - box: + - 529 + - 454 + - 766 + - 595 + - 647.5 + - 524.5 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge , MA 12210 + page: 0 + - box: + - 972 + - 452 + - 1113 + - 531 + - 1042.5 + - 491.5 + - |- + Receipt # + Receipt Date + - |- + Receipt # + Receipt Date + page: 0 + - box: + - 1193 + - 500 + - 1309 + - 527 + - 1251 + - 513.5 + - 11/02/2019 + - 11/02/2019 + page: 0 + - box: + - 1055 + - 553 + - 1114 + - 575 + - 1084.5 + - 564 + - 'PO #' + - 'P.O. #' + page: 0 + - box: + - 1200 + - 553 + - 1310 + - 576 + - 1255 + - 564.5 + - 2312/2019 + - 2312/2019 + page: 0 + - box: + - 1012 + - 600 + - 1112 + - 622 + - 1062 + - 611 + - Due Date + - Due Date + page: 0 + - box: + - 1193 + - 600 + - 1310 + - 623 + - 1251.5 + - 611.5 + - 26/02/2019 + - 26/02/2019 + page: 0 + - box: + - 130 + - 732 + - 178 + - 751 + - 154 + - 741.5 + - QTY + - QTY + page: 0 + - box: + - 422 + - 731 + - 580 + - 752 + - 501 + - 741.5 + - DESCRIPTION + - DESCRIPTION + page: 0 + - box: + - 831 + - 722 + - 962 + - 759 + - 896.5 + - 740.5 + - UNIT PRICE + - UNIT PRICE + page: 0 + - box: + - 1102 + - 730 + - 1205 + - 752 + - 1153.5 + - 741 + - AMOUNT + - AMOUNT + page: 0 + - box: + - 149 + - 793 + - 155 + - 813 + - 152 + - 803 + - '1' + - '1' + page: 0 + - box: + - 229 + - 793 + - 518 + - 816 + - 373.5 + - 804.5 + - Front and rear brake cables + - Front and rear brake cables + page: 0 + - box: + - 911 + - 793 + - 981 + - 814 + - 946 + - 803.5 + - '100.00' + - '100.00' + page: 0 + - box: + - 1220 + - 793 + - 1289 + - 816 + - 1254.5 + - 804.5 + - '100.00' + - '100.00' + page: 0 + - box: + - 148 + - 857 + - 159 + - 876 + - 153.5 + - 866.5 + - '2' + - '2' + page: 0 + - box: + - 229 + - 852 + - 463 + - 884 + - 346 + - 868 + - New set of pedal arms + - New set of pedal arms + page: 0 + - box: + - 925 + - 857 + - 981 + - 879 + - 953 + - 868 + - '15.00' + - '15.00' + page: 0 + - box: + - 1231 + - 856 + - 1290 + - 879 + - 1260.5 + - 867.5 + - '30.00' + - '30.00' + page: 0 + - box: + - 149 + - 920 + - 160 + - 939 + - 154.5 + - 929.5 + - '3' + - '3' + page: 0 + - box: + - 229 + - 918 + - 340 + - 939 + - 284.5 + - 928.5 + - Labor 3hrs + - Labor 3hrs + page: 0 + - box: + - 936 + - 920 + - 980 + - 940 + - 958 + - 930 + - '5.00' + - '5.00' + page: 0 + - box: + - 1233 + - 920 + - 1289 + - 941 + - 1261 + - 930.5 + - '15.00' + - '15.00' + page: 0 + - box: + - 897 + - 981 + - 981 + - 1003 + - 939 + - 992 + - Subtotal + - Subtotal + page: 0 + - box: + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' + page: 0 + - box: + - 803 + - 1042 + - 980 + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + page: 0 + - box: + - 1244 + - 1042 + - 1289 + - 1065 + - 1266.5 + - 1053.5 + - '9.06' + - '9.06' + page: 0 + - box: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + page: 0 + - box: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + page: 0 + - box: + - 102 + - 1728 + - 422 + - 1801 + - 262 + - 1764.5 + - |- + Terms & Conditions + Payment is due within 15 days + - |- + Terms & Conditions + Payment is due within 15 days + page: 0 + - box: + - 104 + - 1841 + - 616 + - 1871 + - 360 + - 1856 + - 'Please make checks payable to: East Repair Inc.' + - 'Please make checks payable to: East Repair Inc.' + page: 0 + BillingAddress: + UICategory: Vendor & Customer + UIName: Billing Address + UIType: Text + matches: + - keyword: + - 102 + - 452 + - 322 + - 591 + - 212 + - 521.5 + - |- + Bill To + John Smith + 2 Court Square + New York, NY 12210 + - |- + Bill To + John Smith + 2 Court Square + New York , NY 12210 + match: |- + John Smith + 2 Court Square + New York, NY 12210 + matchmulti: Bill To John Smith 2 Court Square New York , NY 12210 + page: 0 + value: + - 102 + - 452 + - 322 + - 591 + - 212 + - 521.5 + - |- + Bill To + John Smith + 2 Court Square + New York, NY 12210 + - |- + Bill To + John Smith + 2 Court Square + New York , NY 12210 + CompanyName: + UICategory: Vendor & Customer + UIName: Vendor Name + UIType: Text + matches: + - keyword: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + match: East Repair Inc. + matchmulti: East Repair Inc. + page: 0 + value: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + Currency: + UICategory: VAT & Amounts + UIName: Currency + UIType: Text + matches: + - keyword: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + match: "$" + matchmulti: "$ 154.06" + page: 0 + value: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + Customer: + DetectedText: 'East Repair Inc. RECEIPT 1912 Harvest Lane New York, NY 12210 + US-001 Bill To John Smith 2 Court Square New York, NY 12210 Ship To John Smith + 3787 Pineview Drive Cambridge, MA 12210 Receipt # Receipt Date 11/02/2019 + PO # 2312/2019 Due Date 26/02/2019 QTY DESCRIPTION UNIT PRICE AMOUNT 1 Front + and rear brake cables 100.00 100.00 2 New set of pedal arms 15.00 30.00 3 + Labor 3hrs 5.00 15.00 Subtotal 145.00 Sales Tax 6.25% 9.06 TOTAL $ 154.06 + Terms & Conditions Payment is due within 15 days Please make checks payable + to: East Repair Inc. ' + DocSize: + - - 2000 + - 1413 + Email: + UICategory: Vendor & Customer + UIName: Email + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + Freight: + UICategory: VAT & Amounts + UIName: Freight + UIType: Amount + matches: + - keyword: + match: + matchmulti: + page: + value: + IBAN: + UICategory: Payment Instructions + UIName: IBAN + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + InvoiceDate: + UICategory: Basic Information + UIName: Invoice Date + UIType: Date + matches: + - keyword: + - 972 + - 499 + - 1113 + - 531 + - 1042.5 + - 515 + - Receipt Date + - Receipt Date + match: '2019-11-02' + matchmulti: 11/02/2019 + page: 0 + value: + - 1193 + - 500 + - 1309 + - 527 + - 1251 + - 513.5 + - 11/02/2019 + - 11/02/2019 + InvoiceNumber: + UICategory: Basic Information + UIName: Invoice Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + LineItems: + - - 'AMOUNT ': + - '100.00' + 'DESCRIPTION ': + - Front and rear brake cables + 'QTY ': + - '1' + 'UNIT PRICE ': + - '100.00' + - 'AMOUNT ': + - '30.00' + 'DESCRIPTION ': + - New set of pedal arms + 'QTY ': + - '2' + 'UNIT PRICE ': + - '15.00' + - 'AMOUNT ': + - '15.00' + 'DESCRIPTION ': + - Labor 3hrs + 'QTY ': + - '3' + 'UNIT PRICE ': + - '5.00' + LineItems_standardHeader: + - - Description: Front and rear brake cables + LineAmount: 100 + Quantity: 1 + UnitAmount: 100 + - Description: New set of pedal arms + LineAmount: 30 + Quantity: 2 + UnitAmount: 15 + - Description: Labor 3hrs + LineAmount: 15 + Quantity: 3 + UnitAmount: 5 + OtherAddress: + UICategory: Vendor & Customer + UIName: Other Address + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + OtherDate: + UICategory: Basic Information + UIName: Other Date + UIType: Date + matches: + - keyword: + match: + matchmulti: + page: + value: + PONumber: + UICategory: Vendor & Customer + UIName: PO Number + UIType: Text + matches: + - keyword: + - 1055 + - 553 + - 1114 + - 575 + - 1084.5 + - 564 + - 'PO #' + - 'P.O. #' + match: 2312/2019 + matchmulti: 2312/2019 + page: 0 + value: + - 1200 + - 553 + - 1310 + - 576 + - 1255 + - 564.5 + - 2312/2019 + - 2312/2019 + PaymentDate: + UICategory: Basic Information + UIName: Payment Date + UIType: Date + matches: + - keyword: + - 1012 + - 600 + - 1112 + - 622 + - 1062 + - 611 + - Due Date + - Due Date + match: '2019-02-26' + matchmulti: 26/02/2019 + page: 0 + value: + - 1193 + - 600 + - 1310 + - 623 + - 1251.5 + - 611.5 + - 26/02/2019 + - 26/02/2019 + SenderAddress: + UICategory: Vendor & Customer + UIName: Vendor Address + UIType: Text + matches: + - keyword: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + match: East Repair Inc. + matchmulti: East Repair Inc. + page: 0 + value: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + ShippingAddress: + UICategory: Vendor & Customer + UIName: Shipping Address + UIType: Text + matches: + - keyword: + - 529 + - 454 + - 766 + - 595 + - 647.5 + - 524.5 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge , MA 12210 + match: |- + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + matchmulti: Ship To John Smith 3787 Pineview Drive Cambridge , MA 12210 + page: 0 + value: + - 529 + - 454 + - 766 + - 595 + - 647.5 + - 524.5 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge , MA 12210 + SmallBoxes: + - box: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + page: 0 + - box: + - 1148 + - 129 + - 1308 + - 171 + - 1228 + - 150 + - RECEIPT + - RECEIPT + page: 0 + - box: + - 105 + - 208 + - 302 + - 241 + - 203.5 + - 224.5 + - 1912 Harvest Lane + - 1912 Harvest Lane + page: 0 + - box: + - 102 + - 242 + - 322 + - 273 + - 212 + - 257.5 + - New York, NY 12210 + - New York , NY 12210 + page: 0 + - box: + - 1232 + - 455 + - 1307 + - 479 + - 1269.5 + - 467 + - US-001 + - US-001 + page: 0 + - box: + - 104 + - 452 + - 174 + - 481 + - 139 + - 466.5 + - Bill To + - Bill To + page: 0 + - box: + - 103 + - 492 + - 220 + - 524 + - 161.5 + - 508 + - John Smith + - John Smith + page: 0 + - box: + - 103 + - 527 + - 262 + - 559 + - 182.5 + - 543 + - 2 Court Square + - 2 Court Square + page: 0 + - box: + - 102 + - 560 + - 322 + - 591 + - 212 + - 575.5 + - New York, NY 12210 + - New York , NY 12210 + page: 0 + - box: + - 529 + - 454 + - 616 + - 482 + - 572.5 + - 468 + - Ship To + - Ship To + page: 0 + - box: + - 530 + - 494 + - 647 + - 523 + - 588.5 + - 508.5 + - John Smith + - John Smith + page: 0 + - box: + - 530 + - 527 + - 744 + - 555 + - 637 + - 541 + - 3787 Pineview Drive + - 3787 Pineview Drive + page: 0 + - box: + - 529 + - 559 + - 766 + - 595 + - 647.5 + - 577 + - Cambridge, MA 12210 + - Cambridge , MA 12210 + page: 0 + - box: + - 1009 + - 452 + - 1113 + - 483 + - 1061 + - 467.5 + - 'Receipt #' + - 'Receipt #' + page: 0 + - box: + - 972 + - 499 + - 1113 + - 531 + - 1042.5 + - 515 + - Receipt Date + - Receipt Date + page: 0 + - box: + - 1193 + - 500 + - 1309 + - 527 + - 1251 + - 513.5 + - 11/02/2019 + - 11/02/2019 + page: 0 + - box: + - 1055 + - 553 + - 1114 + - 575 + - 1084.5 + - 564 + - 'PO #' + - 'P.O. #' + page: 0 + - box: + - 1200 + - 553 + - 1310 + - 576 + - 1255 + - 564.5 + - 2312/2019 + - 2312/2019 + page: 0 + - box: + - 1012 + - 600 + - 1112 + - 622 + - 1062 + - 611 + - Due Date + - Due Date + page: 0 + - box: + - 1193 + - 600 + - 1310 + - 623 + - 1251.5 + - 611.5 + - 26/02/2019 + - 26/02/2019 + page: 0 + - box: + - 130 + - 732 + - 178 + - 751 + - 154 + - 741.5 + - QTY + - QTY + page: 0 + - box: + - 422 + - 731 + - 580 + - 752 + - 501 + - 741.5 + - DESCRIPTION + - DESCRIPTION + page: 0 + - box: + - 831 + - 722 + - 962 + - 759 + - 896.5 + - 740.5 + - UNIT PRICE + - UNIT PRICE + page: 0 + - box: + - 1102 + - 730 + - 1205 + - 752 + - 1153.5 + - 741 + - AMOUNT + - AMOUNT + page: 0 + - box: + - 149 + - 793 + - 155 + - 813 + - 152 + - 803 + - '1' + - '1' + page: 0 + - box: + - 229 + - 793 + - 518 + - 816 + - 373.5 + - 804.5 + - Front and rear brake cables + - Front and rear brake cables + page: 0 + - box: + - 911 + - 793 + - 981 + - 814 + - 946 + - 803.5 + - '100.00' + - '100.00' + page: 0 + - box: + - 1220 + - 793 + - 1289 + - 816 + - 1254.5 + - 804.5 + - '100.00' + - '100.00' + page: 0 + - box: + - 148 + - 857 + - 159 + - 876 + - 153.5 + - 866.5 + - '2' + - '2' + page: 0 + - box: + - 229 + - 852 + - 463 + - 884 + - 346 + - 868 + - New set of pedal arms + - New set of pedal arms + page: 0 + - box: + - 925 + - 857 + - 981 + - 879 + - 953 + - 868 + - '15.00' + - '15.00' + page: 0 + - box: + - 1231 + - 856 + - 1290 + - 879 + - 1260.5 + - 867.5 + - '30.00' + - '30.00' + page: 0 + - box: + - 149 + - 920 + - 160 + - 939 + - 154.5 + - 929.5 + - '3' + - '3' + page: 0 + - box: + - 229 + - 918 + - 340 + - 939 + - 284.5 + - 928.5 + - Labor 3hrs + - Labor 3hrs + page: 0 + - box: + - 936 + - 920 + - 980 + - 940 + - 958 + - 930 + - '5.00' + - '5.00' + page: 0 + - box: + - 1233 + - 920 + - 1289 + - 941 + - 1261 + - 930.5 + - '15.00' + - '15.00' + page: 0 + - box: + - 897 + - 981 + - 981 + - 1003 + - 939 + - 992 + - Subtotal + - Subtotal + page: 0 + - box: + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' + page: 0 + - box: + - 803 + - 1042 + - 980 + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + page: 0 + - box: + - 1244 + - 1042 + - 1289 + - 1065 + - 1266.5 + - 1053.5 + - '9.06' + - '9.06' + page: 0 + - box: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + page: 0 + - box: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + page: 0 + - box: + - 102 + - 1728 + - 327 + - 1760 + - 214.5 + - 1744 + - Terms & Conditions + - Terms & Conditions + page: 0 + - box: + - 104 + - 1767 + - 422 + - 1801 + - 263 + - 1784 + - Payment is due within 15 days + - Payment is due within 15 days + page: 0 + - box: + - 104 + - 1841 + - 616 + - 1871 + - 360 + - 1856 + - 'Please make checks payable to: East Repair Inc.' + - 'Please make checks payable to: East Repair Inc.' + page: 0 + Subtotal: + UICategory: VAT & Amounts + UIName: Subtotal + UIType: Amount + matches: + - keyword: + - 897 + - 775 + - 981 + - 797 + - 939 + - 992 + - Subtotal + - Subtotal + match: 145 + matchmulti: '145.00' + page: 0 + value: + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' + Supplier: + SwiftCode: + UICategory: Payment Instructions + UIName: Swift Code + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + TableDetected: true + Tables: + - GridX: + - 106 + - 212 + - 797 + - 1002 + - 1309 + GridY: + - 775 + - 833 + - 895 + - 958 + GridYPages: + - 0 + - 0 + - 0 + - 0 + HeaderPage: 0 + header: + - 120 + - 720 + - 1293 + - 761 + headernum: 4 + TaxTotal: + UICategory: VAT & Amounts + UIName: Tax Total + UIType: Amount + matches: + - keyword: + - 803 + - 836 + - 980 + - 857 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + match: 6.2 + matchmulti: Sales Tax 6.25% + page: 0 + value: + - 803 + - 1042 + - 980 + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + Total: + UICategory: VAT & Amounts + UIName: Total + UIType: Amount + matches: + - keyword: + - 872 + - 898 + - 981 + - 931 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + match: 154.06 + matchmulti: "$ 154.06" + page: 0 + value: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + Type: invoice_image + URL: + UICategory: Vendor & Customer + UIName: URL + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + num_pages: 1 + docId: 7650 + status: COMPLETED + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + properties: + scanDocuments: + type: object + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + description: Initial version release + input: + type: object + required: + - file + - endpointUrl + properties: + file: + type: string + format: binary + default: true + example: upload file + description: The receipt document + endpointUrl: + type: string + default: staple url + description: The staple endpoint url + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From e48739839b37fde925eec5fdeca0cbb62287ea0f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 21 Oct 2020 13:06:11 +0530 Subject: [PATCH 0367/5916] Update index.yaml --- yaml/index.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/yaml/index.yaml b/yaml/index.yaml index c2e7f9bd5..680646eb1 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -174,6 +174,14 @@ Utility: title: base64_file_decode versions: v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-decode.yaml" + Staple Invoice: + title: Staple Invoice + versions: + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/staple_invoice.yaml" + Staple Receipt: + title: Staple Receipt + versions: + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/staple_receipt.yaml" Data: HDB Commercial Directories (SG): title: HDB Commercial Directories (SG) From 799657de4635f73032aa016e89997ee4bcf181ca Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 13:58:41 +0530 Subject: [PATCH 0368/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 2331 +++++++++++++++++++------------------- 1 file changed, 1144 insertions(+), 1187 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index d5195987e..7f1f60765 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: Staple Invoice description: |+ - Scan the invoice document from file and explore the data by catagorywise. + Scan the Invoice document from file and explore the data by catagorywise. version: '1.0' - x-subscribelink: staple_invoice + x-subscribelink: staple_receipt servers: - url: 'https://dev-apis.sentient.io' tags: @@ -27,614 +27,524 @@ paths: results: scanDocuments: data: + AccountName: + UICategory: Payment Instructions + UIName: Account Name + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + AccountNumber: + UICategory: Payment Instructions + UIName: Account Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: BigBoxes: - box: - - 904 - - 118 - - 1315 - - 189 - - 1109.5 - - 153.5 - - 'sentient.io' - - 'sentient.io' + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + page: 0 + - box: + - 1148 + - 129 + - 1308 + - 171 + - 1228 + - 150 + - RECEIPT + - RECEIPT + page: 0 + - box: + - 102 + - 208 + - 322 + - 273 + - 212 + - 240.5 + - |- + 1912 Harvest Lane + New York, NY 12210 + - |- + 1912 Harvest Lane + New York , NY 12210 + page: 0 + - box: + - 1232 + - 455 + - 1307 + - 479 + - 1269.5 + - 467 + - US-001 + - US-001 + page: 0 + - box: + - 102 + - 452 + - 322 + - 591 + - 212 + - 521.5 + - |- + Bill To + John Smith + 2 Court Square + New York, NY 12210 + - |- + Bill To + John Smith + 2 Court Square + New York , NY 12210 + page: 0 + - box: + - 529 + - 454 + - 766 + - 595 + - 647.5 + - 524.5 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge , MA 12210 + page: 0 + - box: + - 972 + - 452 + - 1113 + - 531 + - 1042.5 + - 491.5 + - |- + Receipt # + Receipt Date + - |- + Receipt # + Receipt Date + page: 0 + - box: + - 1193 + - 500 + - 1309 + - 527 + - 1251 + - 513.5 + - 11/02/2019 + - 11/02/2019 page: 0 - box: - - 903 - - 210 - - 1312 - - 229 - - 1107.5 - - 219.5 - - | - NATURALLY - INTELLIGENT - - | - NATURALLY - INTELLIGENT + - 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box: - - 711 + - 130 - 732 - - 810 - - 753 - - 760.5 - - 742.5 - - Unit Price - - Unit Price - page: 0 - - box: - - 874 - - 733 - - 954 + - 178 - 751 - - 914 - - 742 - - Discount - - Discount + - 154 + - 741.5 + - QTY + - QTY page: 0 - box: - - 1126 - - 734 - - 1160 + - 422 + - 731 + - 580 - 752 - - 1143 - - 743 - - Tax - - Tax + - 501 + - 741.5 + - DESCRIPTION + - DESCRIPTION page: 0 - box: - - 1219 - - 733 - - 1347 + - 831 + - 722 + - 962 + - 759 + - 896.5 + - 740.5 + - UNIT PRICE + - UNIT PRICE + page: 0 + - box: + - 1102 + - 730 + - 1205 - 752 - - 1283 - - 742.5 - - AmountUSD - - Amount USD + - 1153.5 + - 741 + - AMOUNT + - AMOUNT page: 0 - box: - - 167 + - 149 - 793 - - 397 - - 815 - - 282 - - 804 - - Top up of Sentient Credit - - Top up of Sentient Credit - page: 0 - - box: - - 588 - - 795 - - 667 - - 815 - - 627.5 - - 805 - - '5,000.00' - - '5,000.00' - page: 0 - - box: - - 773 - - 794 - - 809 - - 814 - - 791 - - 804 - - '0.01' - - '0.01' + - 155 + - 813 + - 152 + - 803 + - '1' + - '1' page: 0 - box: - - 904 - - 794 - - 953 - - 812 - - 928.5 - - 803 - - '10.00' - - '10.00' + - 229 + - 793 + - 518 + - 816 + - 373.5 + - 804.5 + - Front and rear brake cables + - Front and rear brake cables page: 0 - box: - - 1134 - - 794 - - 1160 - - 813 - - 1147 + - 911 + - 793 + - 981 + - 814 + - 946 - 803.5 - - 7% - - 7% + - '100.00' + - '100.00' page: 0 - box: - - 1298 - - 795 - - 1348 - - 813 - - 1323 - - 804 - - '40.00' - - '40.00' + - 1220 + - 793 + - 1289 + - 816 + - 1254.5 + - 804.5 + - '100.00' + - '100.00' + page: 0 + - box: + - 148 + - 857 + - 159 + - 876 + - 153.5 + - 866.5 + - '2' + - '2' page: 0 - box: - - 825 - - 836 - - 1169 - - 859 - - 997 - - 847.5 - - Subtotal ( includes discount of $ 10.00 ) - - Subtotal ( includes discount of $ 10.00 ) + - 229 + - 852 + - 463 + - 884 + - 346 + - 868 + - New set of pedal arms + - New set of pedal arms page: 0 - box: - - 1299 - - 838 - - 1348 + - 925 + - 857 + - 981 + - 879 + - 953 + - 868 + - '15.00' + - '15.00' + page: 0 + - box: + - 1231 - 856 - - 1323.5 - - 847 - - '40.00' - - '40.00' + - 1290 + - 879 + - 1260.5 + - 867.5 + - '30.00' + - '30.00' page: 0 - box: - - 770 - - 877 - - 1169 - - 900 - - 969.5 - - 888.5 - - Total Local supply of goods and services 7% - - Total Local supply of goods and services 7% + - 149 + - 920 + - 160 + - 939 + - 154.5 + - 929.5 + - '3' + - '3' page: 0 - box: - - 1309 - - 879 - - 1348 - - 896 - - 1328.5 - - 887.5 - - '2.80' - - '2.80' + - 229 + - 918 + - 340 + - 939 + - 284.5 + - 928.5 + - Labor 3hrs + - Labor 3hrs page: 0 - box: - - 1080 - - 921 - - 1169 + - 936 + - 920 + - 980 - 940 - - 1124.5 + - 958 + - 930 + - '5.00' + - '5.00' + page: 0 + - box: + - 1233 + - 920 + - 1289 + - 941 + - 1261 - 930.5 - - Total USD - - Total USD + - '15.00' + - '15.00' page: 0 - box: - - 1299 - - 922 - - 1348 + - 897 + - 981 + - 981 + - 1003 - 939 - - 1323.5 - - 930.5 - - '42.80' - - '42.80' + - 992 + - Subtotal + - Subtotal page: 0 - box: - - 989 - - 960 - - 1169 - - 986 - - 1079 - - 973 - - Total Net Payments - - Total Net Payments + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' page: 0 - box: - - 1309 - - 963 - - 1347 + - 803 + - 1042 - 980 - - 1328 - - 971.5 - - '0.00' - - '0.00' - page: 0 - - box: - - 1006 - - 1006 - - 1169 - - 1025 - - 1087.5 - - 1015.5 - - Amount Due USD - - Amount Due USD - page: 0 - - box: - - 1298 - - 1006 - - 1349 - - 1025 - - 1323.5 - - 1015.5 - - '42.80' - - '42.80' - page: 0 - - box: - - 183 - - 1103 - - 437 - - 1128 - - 310 - - 1115.5 - - For GST reporting purposes - - For GST reporting purposes - page: 0 - - box: - - 183 - - 1131 - - 504 - - 1155 - - 343.5 - - 1143 - - "* Total Tax equivalent to SGD 3.82" - - "* Total Tax equivalent to SGD 3.82" - page: 0 - - box: - - 184 - - 1158 - - 387 - - 1177 - - 285.5 - - 1167.5 - - 1 SGD = 0.732767 USD - - 1 SGD = 0.732767 USD - page: 0 - - box: - - 184 - - 1311 - - 1349 - - 1338 - - 766.5 - - 1324.5 - - Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above - Please write your invoice number - - Make all checks payable to SENTIENT.IO PTE LTD and mail to our address above - Please write your invoice number - page: 0 - - box: - - 183 - - 1343 - - 1277 - - 1371 - - 730 - - 1357 - - at the back of your check Alternatively you may perform a telegraphic transfer - to our bank account below - - at the back of your check Alternatively you may perform a telegraphic transfer - to our bank account below - page: 0 - - box: - - 183 - - 1405 - - 364 - - 1426 - - 273.5 - - 1415.5 - - Bank DBS Limited - - Bank DBS Limited - page: 0 - - box: - - 183 - - 1438 - - 406 - - 1459 - - 294.5 - - 1448.5 - - Swift code DBSSSGSG - - Swift code DBSSSGSG - page: 0 - - box: - - 184 - - 1467 - - 1310 - - 1494 - - 747 - - 1480.5 - - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre - Tower 3 Singapore 018982 - - Bank address 12 Marina Boulevard DBS Asia Central Marina Bay Financial Centre - Tower 3 Singapore 018982 - page: 0 - - box: - - 181 - - 1497 - - 513 - - 1522 - - 347 - - 1509.5 - - A/C Name SENTIENT.IO PTE LTD - - A/C Name SENTIENT.IO PTE LTD - page: 0 - - box: - - 182 - - 1528 - - 415 - - 1552 - - 298.5 - - 1540 - - 'A/C No.: 003-948675-8' - - 'A/C No.: 003-948675-8' - page: 0 - - box: - - 183 - - 1623 - - 415 - - 1642 - - 299 - - 1632.5 - - 'Due Date: 02 Oct 2020' - - 'Due Date: 02 Oct 2020' - page: 0 - - box: - - 183 - - 1950 - - 829 - - 1970 - - 506 - - 1960 - - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 - SINGAPORE' - - 'Registered Office 3 Fusionopolis Place # 03-56 GALAXIS WORK LOFT 138523 - SINGAPORE' + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + page: 0 + - box: + - 1244 + - 1042 + - 1289 + - 1065 + - 1266.5 + - 1053.5 + - '9.06' + - '9.06' + page: 0 + - box: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + page: 0 + - box: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + page: 0 + - box: + - 102 + - 1728 + - 327 + - 1760 + - 214.5 + - 1744 + - Terms & Conditions + - Terms & Conditions + page: 0 + - box: + - 104 + - 1767 + - 422 + - 1801 + - 263 + - 1784 + - Payment is due within 15 days + - Payment is due within 15 days + page: 0 + - box: + - 104 + - 1841 + - 616 + - 1871 + - 360 + - 1856 + - 'Please make checks payable to: East Repair Inc.' + - 'Please make checks payable to: East Repair Inc.' page: 0 Subtotal: UICategory: VAT & Amounts UIName: Subtotal UIType: Amount matches: + - keyword: + - 897 + - 775 + - 981 + - 797 + - 939 + - 992 + - Subtotal + - Subtotal + match: 145 + matchmulti: '145.00' + page: 0 + value: + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' + Supplier: + SwiftCode: + UICategory: Payment Instructions + UIName: Swift Code + UIType: Text + matches: - keyword: match: matchmulti: page: value: - Supplier: TableDetected: true Tables: - GridX: - - 167 - - 1288 - - 1358 + - 106 + - 212 + - 797 + - 1002 + - 1309 GridY: - - 795 - - 838 - - 879 - - 916 + - 775 + - 833 + - 895 + - 958 GridYPages: - 0 - 0 - 0 - 0 HeaderPage: 0 - header: [] - headernum: 2 + header: + - 120 + - 720 + - 1293 + - 761 + headernum: 4 TaxTotal: UICategory: VAT & Amounts UIName: Tax Total UIType: Amount matches: - keyword: - - 183 - - 1131 - - 504 - - 1155 - - 343.5 - - 1143 - - "* Total Tax equivalent to SGD 3.82" - - "* Total Tax equivalent to SGD 3.82" - match: 3.82 - matchmulti: "* Total Tax equivalent to SGD 3.82" + - 803 + - 836 + - 980 + - 857 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + match: 6.2 + matchmulti: Sales Tax 6.25% page: 0 value: - - 183 - - 1131 - - 504 - - 1155 - - 343.5 - - 1143 - - "* Total Tax equivalent to SGD 3.82" - - "* Total Tax equivalent to SGD 3.82" + - 803 + - 1042 + - 980 + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% Total: UICategory: VAT & Amounts UIName: Total UIType: Amount matches: - keyword: - - 1006 - - 1006 - - 1169 - - 1025 - - 1087.5 - - 1015.5 - - Amount Due USD - - Amount Due USD - match: 42.8 - matchmulti: '42.80' + - 872 + - 898 + - 981 + - 931 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + match: 154.06 + matchmulti: "$ 154.06" page: 0 value: - - 1298 - - 1006 - - 1349 - - 1025 - - 1323.5 - - 1015.5 - - '42.80' - - '42.80' - Type: receipt - UENNumber: - UICategory: Vendor & Customer - UIName: UEN Number - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + Type: invoice_image URL: UICategory: Vendor & Customer UIName: URL @@ -1411,11 +1369,10 @@ paths: page: value: num_pages: 1 - docId: 7658 + docId: 7650 status: COMPLETED status: Success - '401': description: Unauthorized content: @@ -1575,7 +1532,7 @@ components: format: binary default: true example: upload file - description: The invoice document + description: The receipt document endpointUrl: type: string default: staple url From 6d7773171c7684a1aaae6b1af7aa85a772223387 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 15:04:35 +0530 Subject: [PATCH 0369/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 23 ++++++++++++++++++----- 1 file changed, 18 insertions(+), 5 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 7f1f60765..d19178b32 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -1435,10 +1435,23 @@ components: type: object properties: results: - type: object - properties: - scanDocuments: - type: object + type: object + example: {} + description: Json Object of returned results + properties: + scanDocuments: + type: object + example: + description: + properties: + data: + type: object + example: + description: + properties: + BigBoxes: + type: array + example: [{"box": [904,118,1315,189,1109.5,153.5,"sentient.io\n","sentient.io\n"],"page": 0}] unauthorized: type: object properties: @@ -1535,7 +1548,7 @@ components: description: The receipt document endpointUrl: type: string - default: staple url + default: true description: The staple endpoint url securitySchemes: APIAuthorizer: From 7852d10d595f108b3fa0e8f376104f634af6eae2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 15:23:55 +0530 Subject: [PATCH 0370/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 26 +++++++++----------------- 1 file changed, 9 insertions(+), 17 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index d19178b32..7fef953d4 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -1434,24 +1434,16 @@ components: success: type: object properties: - results: + results: + scanDocuments: + type: object + properties: + data: type: object - example: {} - description: Json Object of returned results - properties: - scanDocuments: - type: object - example: - description: - properties: - data: - type: object - example: - description: - properties: - BigBoxes: - type: array - example: [{"box": [904,118,1315,189,1109.5,153.5,"sentient.io\n","sentient.io\n"],"page": 0}] + properties: + BigBoxes: + type: array + example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] unauthorized: type: object properties: From cc788925466647311a17192f545f1a4d9ef590d0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 17:41:25 +0530 Subject: [PATCH 0371/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 7fef953d4..e970c1b99 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -1442,8 +1442,8 @@ components: type: object properties: BigBoxes: - type: array - example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] + type: array + example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] unauthorized: type: object properties: From ac50e6a3f1ac31bf5d26f341681767c400bb8e2f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 17:44:46 +0530 Subject: [PATCH 0372/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index e970c1b99..117a3cebc 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -1442,8 +1442,8 @@ components: type: object properties: BigBoxes: - type: array - example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] + type: string + example: "tet" unauthorized: type: object properties: From 74ab6615c0f369e1a9e33e95f02246e1624b88f1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 17:46:26 +0530 Subject: [PATCH 0373/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 117a3cebc..f4814f9f2 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -1439,11 +1439,8 @@ components: type: object properties: data: - type: object - properties: - BigBoxes: - type: string - example: "tet" + type: string + example: "tet" unauthorized: type: object properties: From 3ddeaf86e1a25732c5a9801cba0ac91ab6a1e84d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 18:37:12 +0530 Subject: [PATCH 0374/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index f4814f9f2..abdec07f5 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -1439,8 +1439,11 @@ components: type: object properties: data: - type: string - example: "tet" + type: object + properties: + BigBoxes: + type: string + example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] unauthorized: type: object properties: From 3274db6e9346eb6dbd958d99abc2d762c07d411a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 18:53:36 +0530 Subject: [PATCH 0375/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 100 ++++++++++++++++++++++++++++++++++----- 1 file changed, 88 insertions(+), 12 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index abdec07f5..1d08b37da 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -1432,18 +1432,94 @@ paths: components: schemas: success: - type: object - properties: - results: - scanDocuments: - type: object - properties: - data: - type: object - properties: - BigBoxes: - type: string - example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] +type: object +properties: + results: + scanDocuments: + type: object + properties: + data: + type: object + properties: + BigBoxes: + type: array + example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] + Currency: + type: object + properties: + UICategory: + type: string + example: VAT & Amounts + UIName: + type: string + example: Currency + UIType: + type: string + example: Text + matches: + type: array + example: [1160,1594,1171] + match: + type: string + example: "$" + matchmulti: + type: string + example: "$" + page: + type: string + example: 0 + value: + type: array + example: [1160,1594,1171] + Customer: + type: string + example: null + DetectedText: + type: string + example: GSSA INVOICE Thank you c/o Greg Derderian Treasurer 32 TinkerRoad Nashua NH 03064 Phone 603-595-4357 fax none DATE: INVOICE # FOR: May 2 2009 100 Annual Dues Bill To: GSSA Member 2009 Phone DESCRIPTION AMOUNT Annual Dues per team 2009 summer swim season $ 100.00 TOTAL $ 100.00 Make + DocSize: + type: array + example: [1160,1594,1171] + Email: + UICategory: + type: string + example: Vendor & Customer + UIName: + type: string + example: Email + UIType: + type: string + example: Text + matches: + type: array + example: [{"keyword": null,"match": null}] + LineItems: + type: object + properties: + Amount: + type: string + example: 22009 + Description: + type: array + example: [{"32 Tinker Road","DATE:"}] + num_pages: + type: string + example: 1 + docId: + type: string + example: 7905 + status: + type: string + example: COMPLETED + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: type: object properties: From 0bac45823c852e9b9e31e52d7ac83bac1fb20dc9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 18:55:09 +0530 Subject: [PATCH 0376/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 1615 +++++++------------------------------- 1 file changed, 266 insertions(+), 1349 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 1d08b37da..625a9b388 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -23,1355 +23,272 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed - results: - scanDocuments: - data: - AccountName: - UICategory: Payment Instructions - UIName: Account Name - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - AccountNumber: - UICategory: Payment Instructions - UIName: Account Number - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - BigBoxes: - - box: - - 106 - - 134 - - 385 - - 174 - - 245.5 - - 154 - - East Repair Inc. - - East Repair Inc. - page: 0 - - box: - - 1148 - - 129 - - 1308 - - 171 - - 1228 - - 150 - - RECEIPT - - RECEIPT - page: 0 - - box: - - 102 - - 208 - - 322 - - 273 - - 212 - - 240.5 - - |- - 1912 Harvest Lane - New York, NY 12210 - - |- - 1912 Harvest Lane - New York , NY 12210 - page: 0 - - box: - - 1232 - - 455 - - 1307 - - 479 - - 1269.5 - - 467 - - US-001 - - US-001 - page: 0 - - box: - - 102 - - 452 - - 322 - - 591 - - 212 - - 521.5 - - |- - Bill To - John Smith - 2 Court Square - New York, NY 12210 - - |- - Bill To - John Smith - 2 Court Square - New York , NY 12210 - page: 0 - - box: - - 529 - - 454 - - 766 - - 595 - - 647.5 - - 524.5 - - |- - Ship To - John Smith - 3787 Pineview Drive - Cambridge, MA 12210 - - |- - Ship To - John Smith - 3787 Pineview Drive - Cambridge , MA 12210 - page: 0 - - box: - - 972 - - 452 - - 1113 - - 531 - - 1042.5 - - 491.5 - - |- - Receipt # - Receipt Date - - |- - Receipt # - Receipt Date - page: 0 - - box: - - 1193 - - 500 - - 1309 - - 527 - - 1251 - - 513.5 - - 11/02/2019 - - 11/02/2019 - page: 0 - - box: - - 1055 - - 553 - - 1114 - - 575 - - 1084.5 - - 564 - - 'PO #' - - 'P.O. #' - page: 0 - - box: - - 1200 - - 553 - - 1310 - - 576 - - 1255 - - 564.5 - - 2312/2019 - - 2312/2019 - page: 0 - - box: - - 1012 - - 600 - - 1112 - - 622 - - 1062 - - 611 - - Due Date - - Due Date - page: 0 - - box: - - 1193 - - 600 - - 1310 - - 623 - - 1251.5 - - 611.5 - - 26/02/2019 - - 26/02/2019 - page: 0 - - box: - - 130 - - 732 - - 178 - - 751 - - 154 - - 741.5 - - QTY - - QTY - page: 0 - - box: - 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UIName: Tax Total - UIType: Amount - matches: - - keyword: - - 803 - - 836 - - 980 - - 857 - - 891.5 - - 1052.5 - - Sales Tax 6.25% - - Sales Tax 6.25% - match: 6.2 - matchmulti: Sales Tax 6.25% - page: 0 - value: - - 803 - - 1042 - - 980 - - 1063 - - 891.5 - - 1052.5 - - Sales Tax 6.25% - - Sales Tax 6.25% - Total: - UICategory: VAT & Amounts - UIName: Total - UIType: Amount - matches: - - keyword: - - 872 - - 898 - - 981 - - 931 - - 926.5 - - 1120.5 - - TOTAL - - TOTAL - match: 154.06 - matchmulti: "$ 154.06" - page: 0 - value: - - 1172 - - 1101 - - 1289 - - 1140 - - 1230.5 - - 1120.5 - - "$ 154.06" - - "$ 154.06" - Type: invoice_image - URL: - UICategory: Vendor & Customer - UIName: URL - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - num_pages: 1 - docId: 7650 - status: COMPLETED - status: Success + message: Successfully Processed + results: + scanDocuments: + data: + BigBoxes: + - box: + - 102 + - 131 + - 227 + - 166 + - 164.5 + - 148.5 + - 'GSSA' + - 'GSSA' + page: 0 + Currency: + UICategory: VAT & Amounts + UIName: Currency + UIType: Text + matches: + - keyword: + - 1160 + - 1594 + - 1171 + - 1616 + - 1165.5 + - 1605 + - "$" + - "$" + match: "$" + matchmulti: "$" + page: 0 + value: + - 1160 + - 1594 + - 1171 + - 1616 + - 1165.5 + - 1605 + - "$" + - "$" + Customer: + DetectedText: 'GSSA INVOICE Thank you c/o Greg Derderian Treasurer 32 Tinker + Road Nashua NH 03064 Phone 603-595-4357 fax none DATE: INVOICE # FOR: May + 2 2009 100 Annual Dues Bill To: GSSA Member 2009 Phone DESCRIPTION AMOUNT + Annual Dues per team 2009 summer swim season $ 100.00 TOTAL $ 100.00 Make + all checks payable to GSSA If you have any questions concerning this invoice + contact Na Greg Derderian Treasurer THANK YOU FOR YOUR MEMBERSHIP ! ' + DocSize: + - - 2000 + - 1545 + Email: + UICategory: Vendor & Customer + UIName: Email + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + GSTNumber: + UICategory: Vendor & Customer + UIName: GST Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + LineItems: + - - Amount: + - 22009 + Description: + - 32 Tinker Road + - 'DATE:' + LineItems_standardHeader: + - - Description: '32 Tinker Road DATE:' + LineAmount: 22009 + Quantity: 1 + UnitAmount: 22009 + - Description: 'Nashua NH 03064 Phone 603-595-4357 fax none INVOICE # FOR: + Bill To: GSSA Member 2009 Phone DESCRIPTION' + LineAmount: 100 + Quantity: 1 + UnitAmount: 100 + - Description: Annual Dues per team 2009 summer swim season $ + LineAmount: 100 + Quantity: 1 + UnitAmount: 100 + OtherDate: + UICategory: Basic Information + UIName: Other Date + UIType: Date + matches: + - keyword: + match: '2009-05-02' + matchmulti: May 2 2009 + page: 0 + value: + - 1232 + - 260 + - 1367 + - 289 + - 1299 + - 274 + - May 2 2009 + SenderAddress: + UICategory: Vendor & Customer + UIName: Vendor Address + UIType: Text + matches: + - keyword: + - 102 + - 131 + - 227 + - 166 + - 164.5 + - 148.5 + - 'GSSA' + - 'GSSA' + match: | + c/o Greg Derderian Treasurer + 32 Tinker Road + Nashua + NH 03064 + Phone 603-595-4357 + fax none + matchmulti: c/o Greg Derderian Treasurer 32 Tinker Road Nashua NH 03064 + Phone 603-595-4357 Fax none + page: 0 + value: + - 97 + - 231 + - 457 + - 349 + - 277 + - 290 + - | + c/o Greg Derderian Treasurer + 32 Tinker Road + Nashua + NH 03064 + Phone 603-595-4357 + fax none + - | + c/o Greg Derderian Treasurer + 32 Tinker Road + Nashua + NH 03064 + Phone 603-595-4357 + Fax none + ServiceCharge: + UICategory: VAT & Amounts + UIName: Service Charge + UIType: Amount + matches: + - keyword: + match: + matchmulti: + page: + value: + SmallBoxes: + - box: + - 102 + - 131 + - 227 + - 166 + - 164.5 + - 148.5 + - GSSA + - GSSA + page: 0 + Subtotal: + UICategory: VAT & Amounts + UIName: Subtotal + UIType: Amount + matches: + - keyword: + match: + matchmulti: + page: + value: + Supplier: + TableDetected: true + Tables: + - GridX: + - 91 + - 1222 + - 1377 + GridY: + - 260 + - 292 + - 758 + - 778 + GridYPages: + - 0 + - 0 + - 0 + - 0 + HeaderPage: 0 + header: [] + headernum: 2 + TaxTotal: + UICategory: VAT & Amounts + UIName: Tax Total + UIType: Amount + matches: + - keyword: + match: + matchmulti: + page: + value: + Total: + UICategory: VAT & Amounts + UIName: Total + UIType: Amount + matches: + - keyword: + - 1041 + - 1591 + - 1123 + - 1616 + - 1082 + - 1603.5 + - TOTAL + - TOTAL + match: 100 + matchmulti: '100.00' + page: 0 + value: + - 1286 + - 1592 + - 1359 + - 1615 + - 1322.5 + - 1603.5 + - '100.00' + - '100.00' + Type: receipt + UENNumber: + UICategory: Vendor & Customer + UIName: UEN Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + URL: + UICategory: Vendor & Customer + UIName: URL + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + num_pages: 1 + docId: 7905 + status: COMPLETED + status: Success + '401': description: Unauthorized From 38a6fe1cdcc9e49b0de59cd8941487ab8a596d1b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 18:58:10 +0530 Subject: [PATCH 0377/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 269 +-------------------------------------- 1 file changed, 1 insertion(+), 268 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 625a9b388..3d26d332c 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -22,274 +22,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - scanDocuments: - data: - BigBoxes: - - box: - - 102 - - 131 - - 227 - - 166 - - 164.5 - - 148.5 - - 'GSSA' - - 'GSSA' - page: 0 - Currency: - UICategory: VAT & Amounts - UIName: Currency - UIType: Text - matches: - - keyword: - - 1160 - - 1594 - - 1171 - - 1616 - - 1165.5 - - 1605 - - "$" - - "$" - match: "$" - matchmulti: "$" - page: 0 - value: - - 1160 - - 1594 - - 1171 - - 1616 - - 1165.5 - - 1605 - - "$" - - "$" - Customer: - DetectedText: 'GSSA INVOICE Thank you c/o Greg Derderian Treasurer 32 Tinker - Road Nashua NH 03064 Phone 603-595-4357 fax none DATE: INVOICE # FOR: May - 2 2009 100 Annual Dues Bill To: GSSA Member 2009 Phone DESCRIPTION AMOUNT - Annual Dues per team 2009 summer swim season $ 100.00 TOTAL $ 100.00 Make - all checks payable to GSSA If you have any questions concerning this invoice - contact Na Greg Derderian Treasurer THANK YOU FOR YOUR MEMBERSHIP ! ' - DocSize: - - - 2000 - - 1545 - Email: - UICategory: Vendor & Customer - UIName: Email - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - GSTNumber: - UICategory: Vendor & Customer - UIName: GST Number - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - LineItems: - - - Amount: - - 22009 - Description: - - 32 Tinker Road - - 'DATE:' - LineItems_standardHeader: - - - Description: '32 Tinker Road DATE:' - LineAmount: 22009 - Quantity: 1 - UnitAmount: 22009 - - Description: 'Nashua NH 03064 Phone 603-595-4357 fax none INVOICE # FOR: - Bill To: GSSA Member 2009 Phone DESCRIPTION' - LineAmount: 100 - Quantity: 1 - UnitAmount: 100 - - Description: Annual Dues per team 2009 summer swim season $ - LineAmount: 100 - Quantity: 1 - UnitAmount: 100 - OtherDate: - UICategory: Basic Information - UIName: Other Date - UIType: Date - matches: - - keyword: - match: '2009-05-02' - matchmulti: May 2 2009 - page: 0 - value: - - 1232 - - 260 - - 1367 - - 289 - - 1299 - - 274 - - May 2 2009 - SenderAddress: - UICategory: Vendor & Customer - UIName: Vendor Address - UIType: Text - matches: - - keyword: - - 102 - - 131 - - 227 - - 166 - - 164.5 - - 148.5 - - 'GSSA' - - 'GSSA' - match: | - c/o Greg Derderian Treasurer - 32 Tinker Road - Nashua - NH 03064 - Phone 603-595-4357 - fax none - matchmulti: c/o Greg Derderian Treasurer 32 Tinker Road Nashua NH 03064 - Phone 603-595-4357 Fax none - page: 0 - value: - - 97 - - 231 - - 457 - - 349 - - 277 - - 290 - - | - c/o Greg Derderian Treasurer - 32 Tinker Road - Nashua - NH 03064 - Phone 603-595-4357 - fax none - - | - c/o Greg Derderian Treasurer - 32 Tinker Road - Nashua - NH 03064 - Phone 603-595-4357 - Fax none - ServiceCharge: - UICategory: VAT & Amounts - UIName: Service Charge - UIType: Amount - matches: - - keyword: - match: - matchmulti: - page: - value: - SmallBoxes: - - box: - - 102 - - 131 - - 227 - - 166 - - 164.5 - - 148.5 - - GSSA - - GSSA - page: 0 - Subtotal: - UICategory: VAT & Amounts - UIName: Subtotal - UIType: Amount - matches: - - keyword: - match: - matchmulti: - page: - value: - Supplier: - TableDetected: true - Tables: - - GridX: - - 91 - - 1222 - - 1377 - GridY: - - 260 - - 292 - - 758 - - 778 - GridYPages: - - 0 - - 0 - - 0 - - 0 - HeaderPage: 0 - header: [] - headernum: 2 - TaxTotal: - UICategory: VAT & Amounts - UIName: Tax Total - UIType: Amount - matches: - - keyword: - match: - matchmulti: - page: - value: - Total: - UICategory: VAT & Amounts - UIName: Total - UIType: Amount - matches: - - keyword: - - 1041 - - 1591 - - 1123 - - 1616 - - 1082 - - 1603.5 - - TOTAL - - TOTAL - match: 100 - matchmulti: '100.00' - page: 0 - value: - - 1286 - - 1592 - - 1359 - - 1615 - - 1322.5 - - 1603.5 - - '100.00' - - '100.00' - Type: receipt - UENNumber: - UICategory: Vendor & Customer - UIName: UEN Number - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - URL: - UICategory: Vendor & Customer - UIName: URL - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - num_pages: 1 - docId: 7905 - status: COMPLETED - status: Success - - + example:{"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]}"docId":7905,"status":"COMPLETED"}},"status":"Success"} '401': description: Unauthorized content: From c880dc226badfece526d5e2502772a3bbb7157e1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 19:06:49 +0530 Subject: [PATCH 0378/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 111 ++++++++------------------------------- 1 file changed, 22 insertions(+), 89 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 3d26d332c..bed67f3b6 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -81,95 +81,28 @@ paths: required: true components: schemas: - success: -type: object -properties: - results: - scanDocuments: - type: object - properties: - data: - type: object - properties: - BigBoxes: - type: array - example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] - Currency: - type: object - properties: - UICategory: - type: string - example: VAT & Amounts - UIName: - type: string - example: Currency - UIType: - type: string - example: Text - matches: - type: array - example: [1160,1594,1171] - match: - type: string - example: "$" - matchmulti: - type: string - example: "$" - page: - type: string - example: 0 - value: - type: array - example: [1160,1594,1171] - Customer: - type: string - example: null - DetectedText: - type: string - example: GSSA INVOICE Thank you c/o Greg Derderian Treasurer 32 TinkerRoad Nashua NH 03064 Phone 603-595-4357 fax none DATE: INVOICE # FOR: May 2 2009 100 Annual Dues Bill To: GSSA Member 2009 Phone DESCRIPTION AMOUNT Annual Dues per team 2009 summer swim season $ 100.00 TOTAL $ 100.00 Make - DocSize: - type: array - example: [1160,1594,1171] - Email: - UICategory: - type: string - example: Vendor & Customer - UIName: - type: string - example: Email - UIType: - type: string - example: Text - matches: - type: array - example: [{"keyword": null,"match": null}] - LineItems: - type: object - properties: - Amount: - type: string - example: 22009 - Description: - type: array - example: [{"32 Tinker Road","DATE:"}] - num_pages: - type: string - example: 1 - docId: - type: string - example: 7905 - status: - type: string - example: COMPLETED - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + scanDocuments: + type: object + properties: + BigBoxes: + type: array + example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: From 826de0d07cd4032ef2e141e319481cdc500349fd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 19:08:03 +0530 Subject: [PATCH 0379/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index bed67f3b6..4193707d3 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -22,7 +22,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example:{"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]}"docId":7905,"status":"COMPLETED"}},"status":"Success"} + example: {"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]}"docId":7905,"status":"COMPLETED"}},"status":"Success"} '401': description: Unauthorized content: From 0c4c734140d2ad03f7551840d60cb48bb755532c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 19:10:53 +0530 Subject: [PATCH 0380/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 4193707d3..4917a9b07 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -19,10 +19,10 @@ paths: '200': description: success response content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]}"docId":7905,"status":"COMPLETED"}},"status":"Success"} + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} '401': description: Unauthorized content: From a72e40201636e065631bf7c3bca9515db98e5a33 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 19:13:49 +0530 Subject: [PATCH 0381/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 4917a9b07..50ae77687 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -81,7 +81,7 @@ paths: required: true components: schemas: - success: + success: type: object properties: results: From 98b06bf208e26b49dfc1eeb1837f9ed69b19bc43 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 19:17:54 +0530 Subject: [PATCH 0382/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 54 ++++++++++++++++++++++++---------------- 1 file changed, 32 insertions(+), 22 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 50ae77687..4924e3b08 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -22,7 +22,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} + example: {"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]}"docId":7905,"status":"COMPLETED"}},"status":"Success"} '401': description: Unauthorized content: @@ -82,27 +82,37 @@ paths: components: schemas: success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - scanDocuments: - type: object - properties: - BigBoxes: - type: array - example: [{"box": [102,131,227,166,164.5,148.5],"page": 0}] - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + example: ["Nat","Sentient.io","Home","Inte","CONTACT","Join"] + description: "name of location found in the text string" + misc: + type: array + example: ["Sentient.io","English"] + description: "name of misc found in the text string" + org: + type: array + example: ["Our Clients","AI","APIs","Sentient.io","Our Technology Partners","Named Entity Recognition","Our Investors"] + description: "name of org found in the text string" + per: + type: array + example: ["Sentient.io","Speech","LinkedIn"] + description: "name of persons found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: From 3df031f385103495f95c6cd58d3917c121ef951b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 19:23:39 +0530 Subject: [PATCH 0383/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 4924e3b08..b9660b950 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -22,7 +22,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]}"docId":7905,"status":"COMPLETED"}},"status":"Success"} + example: {"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"docId":7905,"status":"COMPLETED"}},"status":"Success"}} '401': description: Unauthorized content: From 0875ceffcb252e4dc07c4fc4f6e053828e3931e1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 19:27:57 +0530 Subject: [PATCH 0384/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index b9660b950..726d84383 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -22,7 +22,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"docId":7905,"status":"COMPLETED"}},"status":"Success"}} + example: {"message": "Successfully Processed.","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"docId":7905,"status":"COMPLETED"}},"status":"Success"}} '401': description: Unauthorized content: From 517d68d0fefc4c87b586a59df43a6257418f7a29 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 19:29:44 +0530 Subject: [PATCH 0385/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 726d84383..5419d0d54 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -19,10 +19,10 @@ paths: '200': description: success response content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed.","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"docId":7905,"status":"COMPLETED"}},"status":"Success"}} + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} '401': description: Unauthorized content: From 61fc0fc7c371cd9a8a48792f1193bfb5b9e1b780 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Oct 2020 19:30:31 +0530 Subject: [PATCH 0386/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 5419d0d54..0b26cc12a 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -22,7 +22,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} + example: {"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"docId":7905,"status":"COMPLETED"}},"status":"Success"}} '401': description: Unauthorized content: From 2a06d44969557eaee01057ae0b37c7ff7f71cd7f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 12:56:11 +0530 Subject: [PATCH 0387/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 36 +++++++++++++----------------------- 1 file changed, 13 insertions(+), 23 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 0b26cc12a..e7cfb2600 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -82,29 +82,19 @@ paths: components: schemas: success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - example: ["Nat","Sentient.io","Home","Inte","CONTACT","Join"] - description: "name of location found in the text string" - misc: - type: array - example: ["Sentient.io","English"] - description: "name of misc found in the text string" - org: - type: array - example: ["Our Clients","AI","APIs","Sentient.io","Our Technology Partners","Named Entity Recognition","Our Investors"] - description: "name of org found in the text string" - per: - type: array - example: ["Sentient.io","Speech","LinkedIn"] - description: "name of persons found in the text string" + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + scanDocuments: + type: object + properties: + BigBoxes: + type: string + example: "test" message: type: string example: Successfully Processed From fed54352601028986acbfb21d30bfbda6aee13f3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 13:02:47 +0530 Subject: [PATCH 0388/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index e7cfb2600..00c55303b 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -89,7 +89,7 @@ components: example: { "" } description: Json Object of returned results properties: - scanDocuments: + scanDocuments: type: object properties: BigBoxes: From 7c5e8aefb806269de42ace3a71aca2f7bd01f57f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 14:03:36 +0530 Subject: [PATCH 0389/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 00c55303b..a357e4604 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -91,10 +91,11 @@ components: properties: scanDocuments: type: object + example: { "" } properties: BigBoxes: type: string - example: "test" + example: test message: type: string example: Successfully Processed From 727bf781f6a3f37abbaa35603b8f0e897de43f01 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 14:11:04 +0530 Subject: [PATCH 0390/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index a357e4604..b0a049fc6 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -87,15 +87,11 @@ components: results: type: object example: { "" } - description: Json Object of returned results + description: The result of the API call properties: - scanDocuments: + scanDocuments: type: object - example: { "" } - properties: - BigBoxes: - type: string - example: test + example: { "" } message: type: string example: Successfully Processed From 68c75c3053e5f67f2979206855ca3227e7058c28 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 14:14:10 +0530 Subject: [PATCH 0391/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index b0a049fc6..7107a6fe0 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -91,7 +91,11 @@ components: properties: scanDocuments: type: object - example: { "" } + example: { "" } + properties: + data: + type: object + example: { "" } message: type: string example: Successfully Processed From 1599878dc5da3faf5c4f914192b199418300220b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 14:16:13 +0530 Subject: [PATCH 0392/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 7107a6fe0..5c5063284 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -91,11 +91,11 @@ components: properties: scanDocuments: type: object - example: { "" } + example: details of documents properties: data: type: object - example: { "" } + example: data categories message: type: string example: Successfully Processed From 1c22e3b3a84ec66b337dc43c90c2b8cd0bed503d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 14:23:11 +0530 Subject: [PATCH 0393/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 5c5063284..4b7c910ef 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -91,11 +91,11 @@ components: properties: scanDocuments: type: object - example: details of documents + description: The result of the API call properties: data: type: object - example: data categories + example: {"BigBoxes": [{"box": [904,118,1315,189,1109.5,153.5,"sentient.io\n","sentient.io\n"],"page": 0}]} message: type: string example: Successfully Processed From 0002b8e98c37122f7c14e9859d9073073f6303cc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 14:26:51 +0530 Subject: [PATCH 0394/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 4b7c910ef..47e921f1a 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -91,11 +91,8 @@ components: properties: scanDocuments: type: object + example: {"data":{"BigBoxes": [{"box": [904,118,1315,189,1109.5,153.5,"sentient.io\n","sentient.io\n"],"page": 0}]}} description: The result of the API call - properties: - data: - type: object - example: {"BigBoxes": [{"box": [904,118,1315,189,1109.5,153.5,"sentient.io\n","sentient.io\n"],"page": 0}]} message: type: string example: Successfully Processed From c182c138aa4d95d88f262a1336f840f240e11505 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 14:43:29 +0530 Subject: [PATCH 0395/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 47e921f1a..13a636bb7 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -90,7 +90,7 @@ components: description: The result of the API call properties: scanDocuments: - type: object + type: string example: {"data":{"BigBoxes": [{"box": [904,118,1315,189,1109.5,153.5,"sentient.io\n","sentient.io\n"],"page": 0}]}} description: The result of the API call message: From 436d981218f41369c49a4ce1ee941093a8042249 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 14:48:08 +0530 Subject: [PATCH 0396/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 13a636bb7..117a9c24d 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -91,7 +91,7 @@ components: properties: scanDocuments: type: string - example: {"data":{"BigBoxes": [{"box": [904,118,1315,189,1109.5,153.5,"sentient.io\n","sentient.io\n"],"page": 0}]}} + example: "{"data":{"BigBoxes": [{"box": [904,118,1315,189,1109.5,153.5,"sentient.io\n","sentient.io\n"],"page": 0}]}}" description: The result of the API call message: type: string From bb58f422a9e544802ce0d3f7cf71c336d0265082 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 14:51:13 +0530 Subject: [PATCH 0397/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 117a9c24d..787ef5d30 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -90,9 +90,13 @@ components: description: The result of the API call properties: scanDocuments: - type: string - example: "{"data":{"BigBoxes": [{"box": [904,118,1315,189,1109.5,153.5,"sentient.io\n","sentient.io\n"],"page": 0}]}}" + type: object + example: { "" } description: The result of the API call + properties: + data: + type: string + exapmle: test message: type: string example: Successfully Processed From f758d192b9ce419934abf833dc24bcde705142a8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Oct 2020 15:08:52 +0530 Subject: [PATCH 0398/5916] Update staple_invoice.yaml --- yaml/staple_invoice.yaml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/yaml/staple_invoice.yaml b/yaml/staple_invoice.yaml index 787ef5d30..aaf1130de 100644 --- a/yaml/staple_invoice.yaml +++ b/yaml/staple_invoice.yaml @@ -91,12 +91,13 @@ components: properties: scanDocuments: type: object - example: { "" } - description: The result of the API call + example: + description: The details of documents properties: data: - type: string - exapmle: test + type: object + exapmle: test + description: The data of scan copy message: type: string example: Successfully Processed From 86e10b970fb7f85ac6d15215be2b2c649931d9bb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 23 Oct 2020 09:31:13 +0530 Subject: [PATCH 0399/5916] Update index.yaml --- yaml/index.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 680646eb1..95d432136 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -84,6 +84,14 @@ NLP: title: Script Alignment versions: v0.1: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/script_alignment.yaml" + Staple Invoice: + title: Staple Invoice + versions: + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/staple_invoice.yaml" + Staple Receipt: + title: Staple Receipt + versions: + v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/staple_receipt.yaml" Computer Vision: Object Detection: title: Object Detection @@ -174,14 +182,6 @@ Utility: title: base64_file_decode versions: v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-decode.yaml" - Staple Invoice: - title: Staple Invoice - versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/staple_invoice.yaml" - Staple Receipt: - title: Staple Receipt - versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/staple_receipt.yaml" Data: HDB Commercial Directories (SG): title: HDB Commercial Directories (SG) From 08c425698d36befa8766a939d3b0d9dda2dd1355 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 23 Oct 2020 14:48:28 +0530 Subject: [PATCH 0400/5916] Update taxonomy_matcher_eng.yaml --- yaml/taxonomy_matcher_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/taxonomy_matcher_eng.yaml b/yaml/taxonomy_matcher_eng.yaml index fb11e1218..2450f6fa8 100644 --- a/yaml/taxonomy_matcher_eng.yaml +++ b/yaml/taxonomy_matcher_eng.yaml @@ -13,7 +13,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Dec 27, 2019" + description: "Published Date - Jan 24, 2020" paths: /microservices/nlp/taxonomy/v0.1/getpredictions: post: @@ -181,7 +181,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 27, 2019 + example: Published Date - Jan 24, 2020 description: Initial version release input: type: object From 50aef29798c79b1b837f827e1c00e98f2bbe7a2d Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:10:56 +0530 Subject: [PATCH 0401/5916] Update automatic_speech_recognition_chi_sg.yaml --- yaml/automatic_speech_recognition_chi_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/automatic_speech_recognition_chi_sg.yaml b/yaml/automatic_speech_recognition_chi_sg.yaml index 41cbac215..879d794ef 100644 --- a/yaml/automatic_speech_recognition_chi_sg.yaml +++ b/yaml/automatic_speech_recognition_chi_sg.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Jun 18, 2018" + description: "Published Date - Jun 21, 2018" paths: /microservices/voice/asrsch/v0.1/getpredictions: post: @@ -197,7 +197,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 18,2018 + example: Published Date - Jun 21,2018 description: Initial version release securitySchemes: APIAuthorizer: From 62d25d982504ebecbbb8eb9e320fbf21f46300cc Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:13:43 +0530 Subject: [PATCH 0402/5916] Update text-to-speech_eng.yaml --- yaml/text-to-speech_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/text-to-speech_eng.yaml b/yaml/text-to-speech_eng.yaml index 59b695cfe..871ed788d 100644 --- a/yaml/text-to-speech_eng.yaml +++ b/yaml/text-to-speech_eng.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: v0.1 - description: 'Published Date - Oct 01, 2018' + description: 'Published Date - Sep 28, 2018' paths: /microservices/voice/ttseng/v0.1/getpredictions: post: @@ -298,7 +298,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Oct 01,2018' + example: 'Published Date - Sep 28,2018' description: Initial version release input: type: object From dc9925897b7262f3c07d75a4c2e02283acc43f71 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:15:23 +0530 Subject: [PATCH 0403/5916] Update text-to-speech_chi.yaml --- yaml/text-to-speech_chi.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/text-to-speech_chi.yaml b/yaml/text-to-speech_chi.yaml index 13ff270e0..4cc4d9293 100644 --- a/yaml/text-to-speech_chi.yaml +++ b/yaml/text-to-speech_chi.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Oct 01, 2018" + description: "Published Date - Sep 28, 2018" paths: /microservices/voice/ttssch/v0.1/getpredictions: post: @@ -181,7 +181,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 01,2018 + example: Published Date - Sep 28,2018 description: Initial version release input: type: object From 1145c46787a0ab131949bdbd955ee7120e861fd4 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:17:13 +0530 Subject: [PATCH 0404/5916] Update asr_with_voice_activity_detection_eng_sg.yaml --- yaml/asr_with_voice_activity_detection_eng_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/asr_with_voice_activity_detection_eng_sg.yaml b/yaml/asr_with_voice_activity_detection_eng_sg.yaml index 0a85ca85c..6305d082c 100644 --- a/yaml/asr_with_voice_activity_detection_eng_sg.yaml +++ b/yaml/asr_with_voice_activity_detection_eng_sg.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Sep 30, 2019" + description: "Published Date - Dec 14, 2019" paths: /microservices/voice/vadasr/v0.1/getpredictions: post: @@ -225,7 +225,7 @@ components: items: oneOf: - type: string - example: Published Date - Sept 30,2019 + example: Published Date - Dec 14,2019 description: Initial version release securitySchemes: From be4c71dda90197b9c96bda575d8cdd6c8a50c41b Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:19:39 +0530 Subject: [PATCH 0405/5916] Update automatic_speech_recognition_eng_sg.yaml --- yaml/automatic_speech_recognition_eng_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/automatic_speech_recognition_eng_sg.yaml b/yaml/automatic_speech_recognition_eng_sg.yaml index e9640dfc8..ce3112394 100644 --- a/yaml/automatic_speech_recognition_eng_sg.yaml +++ b/yaml/automatic_speech_recognition_eng_sg.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - July 3, 2020" + description: "Published Date - Jul 03, 2020" paths: /microservices/voice/asr/v0.1/getpredictions: post: @@ -256,7 +256,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 03,2020 + example: Published Date - Jul 03,2020 description: Initial version release securitySchemes: APIAuthorizer: From b87daf5f85f0be5d562830e5fc8aea9be6b57eec Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:20:42 +0530 Subject: [PATCH 0406/5916] Update voice_activity_detection_eng.yaml --- yaml/voice_activity_detection_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/voice_activity_detection_eng.yaml b/yaml/voice_activity_detection_eng.yaml index 75f463579..de123b200 100644 --- a/yaml/voice_activity_detection_eng.yaml +++ b/yaml/voice_activity_detection_eng.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - July 3, 2020" + description: "Published Date - Jul 03, 2020" paths: /microservices/voice/vad/v0.1/getpredictions: post: From e9787be0158da40220873ee96583c738424b2f08 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:21:53 +0530 Subject: [PATCH 0407/5916] Update inverse_text_normalisation_eng.yaml --- yaml/inverse_text_normalisation_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/inverse_text_normalisation_eng.yaml b/yaml/inverse_text_normalisation_eng.yaml index e9608478b..72a40aea1 100644 --- a/yaml/inverse_text_normalisation_eng.yaml +++ b/yaml/inverse_text_normalisation_eng.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Mar 02, 2020" + description: "Published Date - Mar 24, 2020" paths: /microservices/nlp/inversenorm/v0.1/getpredictions: post: @@ -181,7 +181,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 02, 2020 + example: Published Date - Mar 24, 2020 description: Initial version release input: type: array From 704b4540afdb0ac424d8d96c7d2022744d344430 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:28:02 +0530 Subject: [PATCH 0408/5916] Update word_sense_disambiguation_eng.yaml --- yaml/word_sense_disambiguation_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/word_sense_disambiguation_eng.yaml b/yaml/word_sense_disambiguation_eng.yaml index f97f55e47..91e486e0a 100644 --- a/yaml/word_sense_disambiguation_eng.yaml +++ b/yaml/word_sense_disambiguation_eng.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Feb 12, 2020" + description: "Published Date - Mar 06, 2020" paths: /microservices/nlp/wordsensedisambiguation/v0.1/getpredictions: post: @@ -271,7 +271,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 12,2020 + example: Published Date - Mar 06, 2020 description: Initial version release securitySchemes: APIAuthorizer: From 5f3923f33401d58b5348bcc8212acf48cbdc94f7 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:29:44 +0530 Subject: [PATCH 0409/5916] Update named-entity_recognition_jp.yaml --- yaml/named-entity_recognition_jp.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/named-entity_recognition_jp.yaml b/yaml/named-entity_recognition_jp.yaml index 1955a651b..73a3bf558 100644 --- a/yaml/named-entity_recognition_jp.yaml +++ b/yaml/named-entity_recognition_jp.yaml @@ -13,7 +13,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - May 19, 2020" + description: "Published Date - May 15, 2020" paths: /microservices/nlp/japanesener/v0.1/getpredictions: post: @@ -210,7 +210,7 @@ components: items: oneOf: - type: string - example: Published Date - May 19,2020 + example: Published Date - May 15,2020 description: Initial version release input: type: object From 099a64385ef8d1d60d58638576a9b1ae5399aa50 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:38:32 +0530 Subject: [PATCH 0410/5916] Update named-entity_recognition_jp.yaml --- yaml/named-entity_recognition_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_jp.yaml b/yaml/named-entity_recognition_jp.yaml index 73a3bf558..34e9ab261 100644 --- a/yaml/named-entity_recognition_jp.yaml +++ b/yaml/named-entity_recognition_jp.yaml @@ -203,7 +203,7 @@ components: items: oneOf: - type: string - example: Published Date - May 19,2020 + example: Published Date - May 15,2020 description: Updated version release v1.0 v0.1: type: array From 634cab1e18d4bf16393f8a603ee509611181cb84 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:40:24 +0530 Subject: [PATCH 0411/5916] Update named-entity_recognition_jp_v1.0.yaml --- yaml/named-entity_recognition_jp_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_jp_v1.0.yaml b/yaml/named-entity_recognition_jp_v1.0.yaml index fdd6079ad..5b301eb59 100644 --- a/yaml/named-entity_recognition_jp_v1.0.yaml +++ b/yaml/named-entity_recognition_jp_v1.0.yaml @@ -282,7 +282,7 @@ components: items: oneOf: - type: string - example: Published Date - May 19,2020 + example: Published Date - May 15,2020 description: Initial version release input: type: object From d9ba953238d9fcd8db683ae3a3c544288a951f42 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:42:05 +0530 Subject: [PATCH 0412/5916] Update named-entity_recognition_jp.yaml --- yaml/named-entity_recognition_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/yaml/named-entity_recognition_jp.yaml b/yaml/named-entity_recognition_jp.yaml index 34e9ab261..eb1780155 100644 --- a/yaml/named-entity_recognition_jp.yaml +++ b/yaml/named-entity_recognition_jp.yaml @@ -203,7 +203,7 @@ components: items: oneOf: - type: string - example: Published Date - May 15,2020 + example: Published Date - Sep 30,2020 description: Updated version release v1.0 v0.1: type: array From e40f20d8344f67df53c660c253ed1d40a10582f0 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:45:33 +0530 Subject: [PATCH 0413/5916] Update script_alignment.yaml --- yaml/script_alignment.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/script_alignment.yaml b/yaml/script_alignment.yaml index 8a372a043..81f7042aa 100644 --- a/yaml/script_alignment.yaml +++ b/yaml/script_alignment.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Jun 18, 2020" + description: "Published Date - Jun 05, 2020" paths: /microservices/nlp/scriptalignment/v0.1/getpredictions: post: @@ -190,7 +190,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 18, 2020 + example: Published Date - Jun 05, 2020 description: Initial version release input: type: object From eea8b881522036d1db2b19745908f13c5a7d93e1 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:46:49 +0530 Subject: [PATCH 0414/5916] Update object_detection.yaml --- yaml/object_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/object_detection.yaml b/yaml/object_detection.yaml index 766987c6c..635df2a83 100644 --- a/yaml/object_detection.yaml +++ b/yaml/object_detection.yaml @@ -13,7 +13,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - May 19, 2020" + description: "Published Date - May 15, 2020" paths: /microservices/cv/objectdetection/v0.1/getpredictions: post: @@ -201,7 +201,7 @@ components: items: oneOf: - type: string - example: Published Date - May 19,2020 + example: Published Date - May 15,2020 description: Initial version release input: type: object From ee279e843d364d30bc723c46a62629c2e5830cec Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 23 Oct 2020 21:19:52 +1100 Subject: [PATCH 0415/5916] Update version number --- yaml/base64-file-decode.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/yaml/base64-file-decode.yaml b/yaml/base64-file-decode.yaml index 6e99065d3..018e5c351 100644 --- a/yaml/base64-file-decode.yaml +++ b/yaml/base64-file-decode.yaml @@ -4,18 +4,18 @@ info: description: |+ This Utility microservice converts base64 encoded text to file. If you are looking for the reverse process, check Base64 File Encode. - version: '1.0' + version: '0.1.0' x-subscribelink: base64_file_decode servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0" +- name: "v0.1.0" description: "Published Date - Oct 31, 2020" paths: - /microservices/utility/base64decode/v1/getresults: + /microservices/utility/base64decode/v0/getresults: post: tags: - - "1.0" + - "0.1.0" responses: '200': description: success response @@ -175,7 +175,7 @@ components: versions: type: object properties: - v1.0: + v0.1.0: type: array items: oneOf: From 2c3e17958f7c5aa4815b28dc8ade1a0a94310d01 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 15:50:21 +0530 Subject: [PATCH 0416/5916] Update youtube_video_downloader.yaml --- yaml/youtube_video_downloader.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/youtube_video_downloader.yaml b/yaml/youtube_video_downloader.yaml index 173dceba2..add873b6a 100644 --- a/yaml/youtube_video_downloader.yaml +++ b/yaml/youtube_video_downloader.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Oct 22, 2019" + description: "Published Date - Nov 25, 2019" paths: /microservices/utility/downloadyoutubevideos/v0.1/getresults: post: @@ -194,7 +194,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 22, 2019 + example: Published Date - Nov 25, 2019 description: Initial version release securitySchemes: APIAuthorizer: From 90917ae7ea8821804151d52b72820307e5e98646 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 23 Oct 2020 21:20:50 +1100 Subject: [PATCH 0417/5916] Update version details --- yaml/base64-file-encode.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/yaml/base64-file-encode.yaml b/yaml/base64-file-encode.yaml index 2f40ab7a8..4f9220393 100644 --- a/yaml/base64-file-encode.yaml +++ b/yaml/base64-file-encode.yaml @@ -11,18 +11,18 @@ info: Video File - AVI, M4V, MOV, MP4, MPEG, MPG, VOB, WEBM and WMV Archive File - TAR and ZIP Font File - TTF - version: '1.0' + version: '0.1.0' x-subscribelink: base64_file_encode servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0" +- name: "v0.1.0" description: "Published Date - Oct 31, 2020" paths: - /microservices/utility/base64encode/v1/getresults: + /microservices/utility/base64encode/v0/getresults: post: tags: - - v1.0 + - v0.1.0 responses: '200': description: success response @@ -211,7 +211,7 @@ components: versions: type: object properties: - v1.0: + v0.1.0: type: array items: oneOf: From c455bef88fba2f08e2686cad86bc2d44afbbad44 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 23 Oct 2020 21:22:57 +1100 Subject: [PATCH 0418/5916] update version for Base64 MS --- yaml/index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/index.yaml b/yaml/index.yaml index 95d432136..03792413f 100644 --- a/yaml/index.yaml +++ b/yaml/index.yaml @@ -177,11 +177,11 @@ Utility: Base64 File Encode: title: base64_file_encode versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-encode.yaml" + v0.1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-encode.yaml" Base64 File Decode: title: base64_file_decode versions: - v1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-decode.yaml" + v0.1.0: "https://raw.githubusercontent.com/sentient-io/microservice-docs/dev/yaml/base64-file-decode.yaml" Data: HDB Commercial Directories (SG): title: HDB Commercial Directories (SG) From 98eb6b441d813af8de9751f1c72cbe602e88e4a3 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:01:16 +0530 Subject: [PATCH 0419/5916] Update video-to-audio_convertor.yaml --- yaml/video-to-audio_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/video-to-audio_convertor.yaml b/yaml/video-to-audio_convertor.yaml index d370865ad..80f1e52d1 100644 --- a/yaml/video-to-audio_convertor.yaml +++ b/yaml/video-to-audio_convertor.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Feb 10, 2020" + description: "Published Date - Mar 06, 2020" paths: /microservices/utility/videotoaudio/v0.1/getresults: post: @@ -207,7 +207,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 10, 2020 + example: Published Date - Mar 06, 2020 description: Initial version release securitySchemes: APIAuthorizer: From 5b9e708c8724d8d811b96771ebf67ee2270fdc56 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:09:50 +0530 Subject: [PATCH 0420/5916] Update wikipedia_retrieval.yaml --- yaml/wikipedia_retrieval.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/wikipedia_retrieval.yaml b/yaml/wikipedia_retrieval.yaml index ceea86ec0..bdda5640e 100644 --- a/yaml/wikipedia_retrieval.yaml +++ b/yaml/wikipedia_retrieval.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Mar 27, 2020" + description: "Published Date - Apr 23, 2020" paths: /microservices/utility/wikipedia/v0.1/getresults: post: @@ -260,7 +260,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 27, 2020 + example: Published Date - Apr 23, 2020 description: Initial version release input: type: object From 86e9504594fc20423d811fbf47c518a69763c4cb Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:10:56 +0530 Subject: [PATCH 0421/5916] Update json-csv_convertor.yaml --- yaml/json-csv_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/json-csv_convertor.yaml b/yaml/json-csv_convertor.yaml index 8c351fa0c..d6057b2c6 100644 --- a/yaml/json-csv_convertor.yaml +++ b/yaml/json-csv_convertor.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0" - description: "Published Date - May 21, 2020" + description: "Published Date - May 15, 2020" paths: /microservices/utility/jsontocsv/v1.0/getresults: post: @@ -204,7 +204,7 @@ components: items: oneOf: - type: string - example: Published Date - May 21, 2020 + example: Published Date - May 15, 2020 description: Initial version release securitySchemes: APIAuthorizer: From 9d79b73950f4f070c6589871f6750f52007fb669 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:11:56 +0530 Subject: [PATCH 0422/5916] Update csv-json_convertor.yaml --- yaml/csv-json_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/csv-json_convertor.yaml b/yaml/csv-json_convertor.yaml index af00c6474..02b6b22d8 100644 --- a/yaml/csv-json_convertor.yaml +++ b/yaml/csv-json_convertor.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0" - description: "Published Date - May 21, 2020" + description: "Published Date - May 15, 2020" paths: /microservices/utility/csvtojson/v1.0/getresults: post: @@ -190,7 +190,7 @@ components: items: oneOf: - type: string - example: Published Date - May 21, 2020 + example: Published Date - May 15, 2020 description: Initial version release input: type: object From bba88a7dcd9dbbb7f459a9cce993982389acc83e Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:13:36 +0530 Subject: [PATCH 0423/5916] Update audio_format_convertor.yaml --- yaml/audio_format_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/audio_format_convertor.yaml b/yaml/audio_format_convertor.yaml index 8f1408991..c21c8a807 100644 --- a/yaml/audio_format_convertor.yaml +++ b/yaml/audio_format_convertor.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Feb 10, 2020" + description: "Published Date - Mar 24, 2020" paths: /microservices/utility/audioprocessing/v0.1/getresults: post: @@ -181,7 +181,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 10, 2020 + example: Published Date - Mar 24, 2020 description: Initial version release input: type: object From e7ba01d1c8ab52327998f5286648c555e4846b33 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:15:17 +0530 Subject: [PATCH 0424/5916] Update video-to-image_convertor.yaml --- yaml/video-to-image_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/video-to-image_convertor.yaml b/yaml/video-to-image_convertor.yaml index 18a180761..e33d1e8b4 100644 --- a/yaml/video-to-image_convertor.yaml +++ b/yaml/video-to-image_convertor.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Aug 04, 2020" + description: "Published Date - Aug 07, 2020" paths: /microservices/utility/videotoimage/v0.1/getresults: post: @@ -198,7 +198,7 @@ components: items: oneOf: - type: string - example: Published Date - Aug 04, 2020 + example: Published Date - Aug 07, 2020 description: Initial version release input: type: object From 1be57034f7c519cc597f7f79750312d4da4d2d7e Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:16:14 +0530 Subject: [PATCH 0425/5916] Update newspaper_article_scraper.yaml --- yaml/newspaper_article_scraper.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/newspaper_article_scraper.yaml b/yaml/newspaper_article_scraper.yaml index 5b93a0816..2f1f956f8 100644 --- a/yaml/newspaper_article_scraper.yaml +++ b/yaml/newspaper_article_scraper.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1" - description: "Published Date - Aug 04, 2020" + description: "Published Date - Aug 07, 2020" paths: /microservices/utility/newsarticle/v0.1/getresults: post: @@ -282,7 +282,7 @@ components: items: oneOf: - type: string - example: Published Date - Aug 04, 2020 + example: Published Date - Aug 07, 2020 description: Initial version release input: type: object From 671ff9fc62d8f970ebd87da8769fad6c2302a841 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:18:57 +0530 Subject: [PATCH 0426/5916] Update commercial_directories_hdb_sg.yaml --- yaml/commercial_directories_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/commercial_directories_hdb_sg.yaml b/yaml/commercial_directories_hdb_sg.yaml index c0565dcfc..75b4102e9 100644 --- a/yaml/commercial_directories_hdb_sg.yaml +++ b/yaml/commercial_directories_hdb_sg.yaml @@ -112,7 +112,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Oct 31, 2018" + description: "Published Date - Dec 26, 2018" paths: /DaaS/prod/directories/hdb/searchdir: get: @@ -492,7 +492,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 31,2018 + example: Published Date - Dec 26,2018 description: Initial version release securitySchemes: APIAuthorizer: From 225391931d4a84842448415a168e2f2a39b7dd78 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:20:39 +0530 Subject: [PATCH 0427/5916] Update web_scraper.yaml --- yaml/web_scraper.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/yaml/web_scraper.yaml b/yaml/web_scraper.yaml index f6ab43322..8fddb96db 100644 --- a/yaml/web_scraper.yaml +++ b/yaml/web_scraper.yaml @@ -52,14 +52,14 @@ info: **return type is not supported alone with attribute. The results are returned in JSON format and allow for developers to rapidly retrieve website elements like tables, images, etc. from URL - version: '1.0' + version: '1.1' servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0" - description: "Published Date - Feb 10, 2020" +- name: "v1.1" + description: "Published Date - Jul 03, 2020" paths: - /microservices/utility/webscraping/v1.0/getresults: + /microservices/utility/webscraping/v1/getresults: post: tags: - v1.0 @@ -294,7 +294,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 10, 2020 + example: Published Date - Jul 03, 2020 description: Initial version release input: type: object From b166499f6a14031e3e534650fcd9cb1fb8b7c641 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:23:36 +0530 Subject: [PATCH 0428/5916] Update carpark_hdb_sg.yaml --- yaml/carpark_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/carpark_hdb_sg.yaml b/yaml/carpark_hdb_sg.yaml index f117fc2f3..e04b7e830 100644 --- a/yaml/carpark_hdb_sg.yaml +++ b/yaml/carpark_hdb_sg.yaml @@ -120,7 +120,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Oct 10, 2019" + description: "Published Date - Nov 25, 2019" paths: /DaaS/prod/hdb/carpark: get: @@ -465,7 +465,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 10,2019 + example: Published Date - Nov 25,2019 description: Initial version release securitySchemes: APIAuthorizer: From fe5a3a967843f472d29eb6c564b913b8bcbaec70 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:24:53 +0530 Subject: [PATCH 0429/5916] Update demographics_hdb_sg.yaml --- yaml/demographics_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/demographics_hdb_sg.yaml b/yaml/demographics_hdb_sg.yaml index b701ec6c3..c34d86e7f 100644 --- a/yaml/demographics_hdb_sg.yaml +++ b/yaml/demographics_hdb_sg.yaml @@ -82,7 +82,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Apr 24, 2020" + description: "Published Date - May 15, 2020" paths: /DaaS/prod/hdb/demographics: get: @@ -420,7 +420,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 24,2020 + example: Published Date - May 15,2020 description: Initial version release securitySchemes: APIAuthorizer: From 4ae1b216bf083a7e48faf616300a9049bdc1421e Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:26:02 +0530 Subject: [PATCH 0430/5916] Update flat_ownership_hdb_sg.yaml --- yaml/flat_ownership_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/flat_ownership_hdb_sg.yaml b/yaml/flat_ownership_hdb_sg.yaml index e4843f424..b17802d52 100644 --- a/yaml/flat_ownership_hdb_sg.yaml +++ b/yaml/flat_ownership_hdb_sg.yaml @@ -89,7 +89,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Apr 24, 2020" + description: "Published Date - May 15, 2020" paths: /DaaS/prod/hdb/ownership: get: @@ -421,7 +421,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 24,2020 + example: Published Date - May 15,2020 description: Initial version release securitySchemes: APIAuthorizer: From 28433e90be314f1bf743e92223bfed0923d6b78d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:26:32 +0530 Subject: [PATCH 0431/5916] Update web_scraper.yaml --- yaml/web_scraper.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/web_scraper.yaml b/yaml/web_scraper.yaml index 8fddb96db..68bc36763 100644 --- a/yaml/web_scraper.yaml +++ b/yaml/web_scraper.yaml @@ -52,17 +52,17 @@ info: **return type is not supported alone with attribute. The results are returned in JSON format and allow for developers to rapidly retrieve website elements like tables, images, etc. from URL - version: '1.1' + version: '0.1.1' servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.1" +- name: "v0.1.1" description: "Published Date - Jul 03, 2020" paths: /microservices/utility/webscraping/v1/getresults: post: tags: - - v1.0 + - v0.1.1 responses: '200': description: success response @@ -289,7 +289,7 @@ components: versions: type: object properties: - v0.1: + v0.1.1: type: array items: oneOf: From 800dd6ef4475bcf533287a9d564fb54434533735 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:27:48 +0530 Subject: [PATCH 0432/5916] Update season_parking_availability_hdb_sg.yaml --- yaml/season_parking_availability_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/season_parking_availability_hdb_sg.yaml b/yaml/season_parking_availability_hdb_sg.yaml index 1a3fc09db..713dc0d13 100644 --- a/yaml/season_parking_availability_hdb_sg.yaml +++ b/yaml/season_parking_availability_hdb_sg.yaml @@ -94,7 +94,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Oct 10, 2019" + description: "Published Date - May 15, 2020" paths: /DaaS/prod/hdb/carparkavailability: get: @@ -425,7 +425,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 10,2019 + example: Published Date - May 15,2020 description: Initial version release securitySchemes: APIAuthorizer: From 197098b18066232a8fc4edea078dbf5b2ad4ded8 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:30:02 +0530 Subject: [PATCH 0433/5916] Update directory_of_singapore_startups.yaml --- yaml/directory_of_singapore_startups.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/directory_of_singapore_startups.yaml b/yaml/directory_of_singapore_startups.yaml index 0039eb943..60739c85b 100644 --- a/yaml/directory_of_singapore_startups.yaml +++ b/yaml/directory_of_singapore_startups.yaml @@ -79,7 +79,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Nov 15, 2019" + description: "Published Date - Dec 26, 2018" paths: /DaaS/prod/directories/searchdir: get: @@ -519,7 +519,7 @@ components: items: oneOf: - type: string - example: Published Date - Nov 15, 2019 + example: Published Date - Dec 26, 2018 description: Initial version release securitySchemes: APIAuthorizer: From 4cf30143fd2f57fd80c47f4271b1cc7a1e7929ec Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:31:50 +0530 Subject: [PATCH 0434/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- yaml/fitness_stations_and_playgrounds_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml b/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml index 5e457fa6c..9e7797742 100644 --- a/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/yaml/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -38,7 +38,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Feb 07, 2020" + description: "Published Date - Mar 24, 2020" paths: /DaaS/prod/hdb/amenities/gs/csv/fitnessstationplaygrnd/hdb: get: @@ -208,7 +208,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 07, 2020 + example: Published Date - Mar 24, 2020 description: Initial version release securitySchemes: APIAuthorizer: From e636b33cb8e97c7d3f8a50409af39126fdb2e49e Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:34:14 +0530 Subject: [PATCH 0435/5916] Update amenities_hardcourts_hdb_sg.yaml --- yaml/amenities_hardcourts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/amenities_hardcourts_hdb_sg.yaml b/yaml/amenities_hardcourts_hdb_sg.yaml index 48324a035..e8c07a00b 100644 --- a/yaml/amenities_hardcourts_hdb_sg.yaml +++ b/yaml/amenities_hardcourts_hdb_sg.yaml @@ -37,7 +37,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Feb 07, 2020" + description: "Published Date - Mar 24, 2020" paths: /DaaS/prod/hdb/amenities/gs/csv/hardcourt/hdb: get: @@ -207,7 +207,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 07, 2020 + example: Published Date - Mar 24, 2020 description: Initial version release securitySchemes: APIAuthorizer: From f27ba1b27e5fdd6614bfd8d2c5caf158875c09e9 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:35:21 +0530 Subject: [PATCH 0436/5916] Update amenities_shelters_hdb_sg.yaml --- yaml/amenities_shelters_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/amenities_shelters_hdb_sg.yaml b/yaml/amenities_shelters_hdb_sg.yaml index fad46f2fe..75c2f833b 100644 --- a/yaml/amenities_shelters_hdb_sg.yaml +++ b/yaml/amenities_shelters_hdb_sg.yaml @@ -38,7 +38,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Feb 07, 2020" + description: "Published Date - Mar 24, 2020" paths: /DaaS/prod/hdb/amenities/gs/csv/shelter/hdb: get: @@ -208,7 +208,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 07, 2020 + example: Published Date - Mar 24, 2020 description: Initial version release securitySchemes: APIAuthorizer: From c70cf3567b21989eea8f95d48b8d3e415c2fc4d6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:36:19 +0530 Subject: [PATCH 0437/5916] Update web_scraper.yaml --- yaml/web_scraper.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/web_scraper.yaml b/yaml/web_scraper.yaml index 68bc36763..83aeced34 100644 --- a/yaml/web_scraper.yaml +++ b/yaml/web_scraper.yaml @@ -52,17 +52,17 @@ info: **return type is not supported alone with attribute. The results are returned in JSON format and allow for developers to rapidly retrieve website elements like tables, images, etc. from URL - version: '0.1.1' + version: '1.1.0' servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" +- name: "v1.1.0" description: "Published Date - Jul 03, 2020" paths: /microservices/utility/webscraping/v1/getresults: post: tags: - - v0.1.1 + - v1.1.0 responses: '200': description: success response @@ -289,7 +289,7 @@ components: versions: type: object properties: - v0.1.1: + v1.1.0: type: array items: oneOf: From 2a425a294265ff4e3d743f9aa7827339d8ea52cd Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:36:49 +0530 Subject: [PATCH 0438/5916] Update d&b_business_check_plus_sg.yaml --- yaml/d&b_business_check_plus_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/d&b_business_check_plus_sg.yaml b/yaml/d&b_business_check_plus_sg.yaml index 3318a8cb1..e2828fa9e 100644 --- a/yaml/d&b_business_check_plus_sg.yaml +++ b/yaml/d&b_business_check_plus_sg.yaml @@ -8,7 +8,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Jul 23, 2019" + description: "Published Date - Aug 15, 2019" paths: /dnb/prod/sbcp: post: @@ -1674,7 +1674,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 23, 2019 + example: Published Date - Aug 15, 2019 description: Initial version release securitySchemes: APIAuthorizer: From d7d9f6bd9d8a05b1d8840ff156142c4b23c23fe1 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:38:03 +0530 Subject: [PATCH 0439/5916] Update d&b_basic_individual_search_sg.yaml --- yaml/d&b_basic_individual_search_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/d&b_basic_individual_search_sg.yaml b/yaml/d&b_basic_individual_search_sg.yaml index ed01a5760..e77b9b41c 100644 --- a/yaml/d&b_basic_individual_search_sg.yaml +++ b/yaml/d&b_basic_individual_search_sg.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Jul 23, 2019" + description: "Published Date - Aug 15, 2019" paths: /dnb/prod/sbis: post: @@ -1276,7 +1276,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 23, 2019 + example: Published Date - Aug 15, 2019 description: Initial version release securitySchemes: APIAuthorizer: From d7d34153a53042deac389f7d3d98641c54adf3a7 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:39:19 +0530 Subject: [PATCH 0440/5916] Update d&b_business_check_sg.yaml --- yaml/d&b_business_check_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/d&b_business_check_sg.yaml b/yaml/d&b_business_check_sg.yaml index ef145fd1a..243a3e8ce 100644 --- a/yaml/d&b_business_check_sg.yaml +++ b/yaml/d&b_business_check_sg.yaml @@ -9,7 +9,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Jul 23, 2019" + description: "Published Date - Aug 15, 2019" paths: /dnb/prod/sbc: post: @@ -1112,7 +1112,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 23, 2019 + example: Published Date - Aug 15, 2019 description: Initial version release securitySchemes: APIAuthorizer: From 8ed99b7462dfc6f62ae54a7468cb75cda7031a54 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 16:40:43 +0530 Subject: [PATCH 0441/5916] Update d&b_brief_financial_information_sg.yaml --- yaml/d&b_brief_financial_information_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/d&b_brief_financial_information_sg.yaml b/yaml/d&b_brief_financial_information_sg.yaml index 8f9d5869c..fc37bbd9a 100644 --- a/yaml/d&b_brief_financial_information_sg.yaml +++ b/yaml/d&b_brief_financial_information_sg.yaml @@ -8,7 +8,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v0.1" - description: "Published Date - Jul 23, 2019" + description: "Published Date - Aug 15, 2019" paths: /dnb/prod/sbfe: post: @@ -1373,7 +1373,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 23, 2019 + example: Published Date - Aug 15, 2019 description: Initial version release securitySchemes: APIAuthorizer: From f33aaedb73fc1bd7bd1c82698616cc8aabbe1229 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:07:16 +0530 Subject: [PATCH 0442/5916] Update amenities_hardcourts_hdb_sg.yaml --- yaml/amenities_hardcourts_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/amenities_hardcourts_hdb_sg.yaml b/yaml/amenities_hardcourts_hdb_sg.yaml index e8c07a00b..41faaa918 100644 --- a/yaml/amenities_hardcourts_hdb_sg.yaml +++ b/yaml/amenities_hardcourts_hdb_sg.yaml @@ -32,17 +32,17 @@ info: | INC_CRC | Varchar | 50 | Sub Location Id | | FMEL_UPD_D | Datetime | N/A | Area of the feature | | Shape__Length | Float | N/A | Length of the feature | - version: '0.1' + version: '0.1.0' servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Mar 24, 2020" paths: /DaaS/prod/hdb/amenities/gs/csv/hardcourt/hdb: get: tags: - - v0.1 + - v0.1.0 responses: '200': description: success response @@ -202,7 +202,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From 6f057cf4d8107039583a32e3644d2bf29c179560 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:09:08 +0530 Subject: [PATCH 0443/5916] Update amenities_lamp_posts_hdb_sg.yaml --- yaml/amenities_lamp_posts_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/amenities_lamp_posts_hdb_sg.yaml b/yaml/amenities_lamp_posts_hdb_sg.yaml index 5c2a09439..547a6e28b 100644 --- a/yaml/amenities_lamp_posts_hdb_sg.yaml +++ b/yaml/amenities_lamp_posts_hdb_sg.yaml @@ -33,18 +33,18 @@ info: | FMEL_UPD_D | Datetime | N/A | Area of the feature | | x | Float | N/A | ESRI x coordinate | | y | Float | N/A | ESRI y coordinate | - version: '0.1' + version: '0.1.0' servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Feb 07, 2020" paths: /DaaS/prod/hdb/amenities/gs/csv/lamppost/hdb: get: tags: - - v0.1 + - v0.1.0 responses: '200': description: success response @@ -204,7 +204,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From f9cea3febb51d93f71d68035e688d5694da98876 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:10:07 +0530 Subject: [PATCH 0444/5916] Update amenities_shelters_hdb_sg.yaml --- yaml/amenities_shelters_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/amenities_shelters_hdb_sg.yaml b/yaml/amenities_shelters_hdb_sg.yaml index 75c2f833b..d41b3f772 100644 --- a/yaml/amenities_shelters_hdb_sg.yaml +++ b/yaml/amenities_shelters_hdb_sg.yaml @@ -33,17 +33,17 @@ info: | FMEL_UPD_D | Datetime | N/A | Area of the feature | | Shape__Area | Float | N/A | Area of the feature | | Shape__Length | Float | N/A | Length of the feature | - version: '0.1' + version: '0.1.0' servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Mar 24, 2020" paths: /DaaS/prod/hdb/amenities/gs/csv/shelter/hdb: get: tags: - - v0.1 + - v0.1.0 responses: '200': description: success response @@ -203,7 +203,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From 53441d73d492d2109c414c318064eca85b20c671 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:11:33 +0530 Subject: [PATCH 0445/5916] Update asr_with_voice_activity_detection_eng_sg.yaml --- yaml/asr_with_voice_activity_detection_eng_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/asr_with_voice_activity_detection_eng_sg.yaml b/yaml/asr_with_voice_activity_detection_eng_sg.yaml index 6305d082c..f299043fe 100644 --- a/yaml/asr_with_voice_activity_detection_eng_sg.yaml +++ b/yaml/asr_with_voice_activity_detection_eng_sg.yaml @@ -5,18 +5,18 @@ info: This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k - version: '0.1' + version: '0.1.0' x-subscribelink: asr_with_voice_activity_detection_eng_sg servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Dec 14, 2019" paths: /microservices/voice/vadasr/v0.1/getpredictions: post: tags: - - v0.1 + - v0.1.0 responses: '200': description: success response @@ -220,7 +220,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From 2a2502e2fe7f573a515070de723a45f1d2b182f3 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:13:37 +0530 Subject: [PATCH 0446/5916] Update audio_format_convertor.yaml --- yaml/audio_format_convertor.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/audio_format_convertor.yaml b/yaml/audio_format_convertor.yaml index c21c8a807..1b99a23c9 100644 --- a/yaml/audio_format_convertor.yaml +++ b/yaml/audio_format_convertor.yaml @@ -3,18 +3,18 @@ info: title: Audio Format Convertor description: >- This API is used to convert your audio like music(any format) to the WAV format. - version: '0.1' + version: '0.1.0' x-subscribelink: audio_format_convertor servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Mar 24, 2020" paths: /microservices/utility/audioprocessing/v0.1/getresults: post: tags: - - v0.1 + - v0.1.0 responses: '200': description: success response @@ -176,7 +176,7 @@ components: versions: type: object properties: - v1.0: + v0.1.0: type: array items: oneOf: From 1747f694ff6e91aa916f6f7b7372abb0282132f9 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:14:25 +0530 Subject: [PATCH 0447/5916] Update automatic_speech_recognition_chi_sg.yaml --- yaml/automatic_speech_recognition_chi_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/automatic_speech_recognition_chi_sg.yaml b/yaml/automatic_speech_recognition_chi_sg.yaml index 879d794ef..65b3c0b71 100644 --- a/yaml/automatic_speech_recognition_chi_sg.yaml +++ b/yaml/automatic_speech_recognition_chi_sg.yaml @@ -5,18 +5,18 @@ info: This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text. This microservice works best for if the audio file consists of mostly speech with no long pauses in between. - version: '0.1' + version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi_sg servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Jun 21, 2018" paths: /microservices/voice/asrsch/v0.1/getpredictions: post: tags: - - v0.1 + - v0.1.0 responses: '200': description: success response @@ -192,7 +192,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From 5798dc7953c341594061c2aa90a80c95997a8598 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:15:20 +0530 Subject: [PATCH 0448/5916] Update automatic_speech_recognition_eng_sg.yaml --- yaml/automatic_speech_recognition_eng_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/automatic_speech_recognition_eng_sg.yaml b/yaml/automatic_speech_recognition_eng_sg.yaml index ce3112394..932f19a73 100644 --- a/yaml/automatic_speech_recognition_eng_sg.yaml +++ b/yaml/automatic_speech_recognition_eng_sg.yaml @@ -5,18 +5,18 @@ info: This Voice microservice transcribes the input audio stream into text. This microservice performs well on Singaporean-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament and nscfull_8k. - version: '0.1' + version: '0.1.0' x-subscribelink: automatic_speech_recognition_eng_sg servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Jul 03, 2020" paths: /microservices/voice/asr/v0.1/getpredictions: post: tags: - - v0.1 + - v0.1.0 responses: '200': description: success response @@ -251,7 +251,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From d716c37689f89bf985ce56048694658a344054f4 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:16:05 +0530 Subject: [PATCH 0449/5916] Update automatic_voice_recognition_eng.yaml --- yaml/automatic_voice_recognition_eng.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/automatic_voice_recognition_eng.yaml b/yaml/automatic_voice_recognition_eng.yaml index 5be907509..9a3645a81 100644 --- a/yaml/automatic_voice_recognition_eng.yaml +++ b/yaml/automatic_voice_recognition_eng.yaml @@ -7,17 +7,17 @@ info: The Automatic Speech Recognition (ASR) AI model is employed to understand the mapping of sound features to actual words in English. Use this microservice if the audio file consists of mostly speech with no long pauses in between. - version: '0.1' + version: '0.1.0' servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Jun 18, 2018" paths: /microservices/voice/asreng/v0.1/getpredictions: post: tags: - - v0.1 + - v0.1.0 responses: '200': description: success response @@ -187,7 +187,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From e91948010e402a3bc6be1a04d6c62c5e752917e9 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:17:28 +0530 Subject: [PATCH 0450/5916] Update building_addresses_hdb_sg.yaml --- yaml/building_addresses_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/building_addresses_hdb_sg.yaml b/yaml/building_addresses_hdb_sg.yaml index 04aa2400e..9260a8afa 100644 --- a/yaml/building_addresses_hdb_sg.yaml +++ b/yaml/building_addresses_hdb_sg.yaml @@ -87,17 +87,17 @@ info: Using a filterdata only: > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - version: '0.1' + version: '0.1.0' servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Oct 10, 2019" paths: /DaaS/prod/directories/searchbranch: get: tags: - - v0.1 + - v0.1.0 parameters: - in: query name: querystring @@ -381,7 +381,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From 161349e850e16980775d630e1213ce05bf687031 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:18:21 +0530 Subject: [PATCH 0451/5916] Update carpark_hdb_sg.yaml --- yaml/carpark_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/carpark_hdb_sg.yaml b/yaml/carpark_hdb_sg.yaml index e04b7e830..509c92790 100644 --- a/yaml/carpark_hdb_sg.yaml +++ b/yaml/carpark_hdb_sg.yaml @@ -115,17 +115,17 @@ info: > querystring = "bishan street 22" > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} - version: '0.1' + version: '0.1.0' servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Nov 25, 2019" paths: /DaaS/prod/hdb/carpark: get: tags: - - v0.1 + - v0.1.0 parameters: - in: query name: querystring @@ -460,7 +460,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From e46f48f253fc8c3695ef586119f0956e52669989 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:19:00 +0530 Subject: [PATCH 0452/5916] Update commercial_directories_hdb_sg.yaml --- yaml/commercial_directories_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/commercial_directories_hdb_sg.yaml b/yaml/commercial_directories_hdb_sg.yaml index 75b4102e9..df9b6e5e1 100644 --- a/yaml/commercial_directories_hdb_sg.yaml +++ b/yaml/commercial_directories_hdb_sg.yaml @@ -107,17 +107,17 @@ info: > filterdata = {"filter":[{"match_phrase": {"trade":"cake shop"}},{"match": {"block":"122"}},{"match_phrase": {"street":"bukit merah lane 1"}}]} - version: '0.1' + version: '0.1.0' servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Dec 26, 2018" paths: /DaaS/prod/directories/hdb/searchdir: get: tags: - - v0.1 + - v0.1.0 parameters: - in: query name: querystring @@ -487,7 +487,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From fd18eb677a6e6db5ff5daa848c422e7b2e6bb53e Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:20:11 +0530 Subject: [PATCH 0453/5916] Update csv-json_convertor.yaml --- yaml/csv-json_convertor.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/csv-json_convertor.yaml b/yaml/csv-json_convertor.yaml index 02b6b22d8..504c41f9c 100644 --- a/yaml/csv-json_convertor.yaml +++ b/yaml/csv-json_convertor.yaml @@ -3,18 +3,18 @@ info: title: CSV-JSON Convertor description: |+ This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - version: '1.0' + version: '1.0.0' x-subscribelink: csv-json_convertor servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.0" +- name: "v1.0.0" description: "Published Date - May 15, 2020" paths: /microservices/utility/csvtojson/v1.0/getresults: post: tags: - - v1.0 + - v1.0.0 responses: '200': description: success response @@ -185,7 +185,7 @@ components: versions: type: object properties: - v1.0: + v1.0.0: type: array items: oneOf: From defb91296e78446519743fd5b2ea3e883f557b75 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:21:29 +0530 Subject: [PATCH 0454/5916] Update d&b_basic_individual_search_sg.yaml --- yaml/d&b_basic_individual_search_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/d&b_basic_individual_search_sg.yaml b/yaml/d&b_basic_individual_search_sg.yaml index e77b9b41c..d9cf0ef93 100644 --- a/yaml/d&b_basic_individual_search_sg.yaml +++ b/yaml/d&b_basic_individual_search_sg.yaml @@ -3,18 +3,18 @@ info: title: D&B Basic Individual Search (SG) description: |+ This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily. - version: '0.1' + version: '0.1.0' x-subscribelink: d&b_basic_individual_search_sg servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Aug 15, 2019" paths: /dnb/prod/sbis: post: tags: - - v0.1 + - v0.1.0 summary: Adds a new user requestBody: content: @@ -1271,7 +1271,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From 0f8ae6b2c54c68b170371094eb4064af0c726e3d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:21:51 +0530 Subject: [PATCH 0455/5916] Update urls_retrieval.yaml --- yaml/urls_retrieval.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/yaml/urls_retrieval.yaml b/yaml/urls_retrieval.yaml index c539ec160..d6218e507 100644 --- a/yaml/urls_retrieval.yaml +++ b/yaml/urls_retrieval.yaml @@ -3,18 +3,18 @@ info: title: URLs Retrieval description: |+ This Utility microservice crawls and retrieves their content from the input URLs, up to the specified depth. - version: '0.1' + version: '0.2.0' x-subscribelink: urls_retrieval servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1" - description: "Published Date - Jun 18, 2018" +- name: "v0.2.0" + description: "Published Date - Sep 1, 2020" paths: - /microservices/utility/crawlurls/v0.1/getresults: + /microservices/utility/crawlurls/v0/getresults: post: tags: - - v0.1 + - v0.2.0 responses: '200': description: success response @@ -203,12 +203,12 @@ components: versions: type: object properties: - v0.1: + v0.2.0: type: array items: oneOf: - type: string - example: Published Date - Jun 18, 2018 + example: Published Date - Sep 1, 2020 description: Initial version release input: type: object From 893ff2a219d86c454f4d2707b53df84b721a1123 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:22:11 +0530 Subject: [PATCH 0456/5916] Update d&b_brief_financial_information_sg.yaml --- yaml/d&b_brief_financial_information_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/d&b_brief_financial_information_sg.yaml b/yaml/d&b_brief_financial_information_sg.yaml index fc37bbd9a..e921954c9 100644 --- a/yaml/d&b_brief_financial_information_sg.yaml +++ b/yaml/d&b_brief_financial_information_sg.yaml @@ -2,18 +2,18 @@ openapi: 3.0.1 info: title: D&B Brief Financial Information (SG) description: This Data microservice provides the annual financial information of the Singapore-registered business, inclusive of annual profit and loss and financial ratios. Updated daily. - version: '0.1' + version: '0.1.0' x-subscribelink: d&b_brief_financial_information_sg servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Aug 15, 2019" paths: /dnb/prod/sbfe: post: tags: - - v0.1 + - v0.1.0 summary: Adds a new user requestBody: content: @@ -1368,7 +1368,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From d7eaec9e05f5eb1c6445cc8fb2051c237b202cd3 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:22:50 +0530 Subject: [PATCH 0457/5916] Update d&b_business_check_plus_sg.yaml --- yaml/d&b_business_check_plus_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/d&b_business_check_plus_sg.yaml b/yaml/d&b_business_check_plus_sg.yaml index e2828fa9e..abd4f3e57 100644 --- a/yaml/d&b_business_check_plus_sg.yaml +++ b/yaml/d&b_business_check_plus_sg.yaml @@ -2,18 +2,18 @@ openapi: 3.0.1 info: title: D&B Business Check Plus (SG) description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace of a company including the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. - version: '0.1' + version: '0.1.0' x-subscribelink: d&b_business_check_plus_sg servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Aug 15, 2019" paths: /dnb/prod/sbcp: post: tags: - - v0.1 + - v0.1.0 summary: Adds a new user requestBody: content: @@ -1669,7 +1669,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From d82de0aa7cc9abaf3aced3c94e104e68bd38f2f7 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:23:28 +0530 Subject: [PATCH 0458/5916] Update d&b_business_check_sg.yaml --- yaml/d&b_business_check_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/d&b_business_check_sg.yaml b/yaml/d&b_business_check_sg.yaml index 243a3e8ce..b18197d15 100644 --- a/yaml/d&b_business_check_sg.yaml +++ b/yaml/d&b_business_check_sg.yaml @@ -3,18 +3,18 @@ info: title: D&B Business Check (SG) description: |+ This Data microservice provides key business information of a Singapore-registered company includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. - version: '0.1' + version: '0.1.0' x-subscribelink: d&b_business_check_sg servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Aug 15, 2019" paths: /dnb/prod/sbc: post: tags: - - v0.1 + - v0.1.0 summary: Adds a new user requestBody: content: @@ -1107,7 +1107,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From afc4c9136b584521e5b4239fb55a80d83359a6cf Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:24:05 +0530 Subject: [PATCH 0459/5916] Update decryption_using_pki_key.yaml --- yaml/decryption_using_pki_key.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/decryption_using_pki_key.yaml b/yaml/decryption_using_pki_key.yaml index bab372aa9..01dfa2547 100644 --- a/yaml/decryption_using_pki_key.yaml +++ b/yaml/decryption_using_pki_key.yaml @@ -5,18 +5,18 @@ info: This Utiltiy microservice decrypts the input text using the input key string. This can be use with PKI Key Generator. - version: '0.1' + version: '0.1.0' x-subscribelink: decryption_using_pki_key servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Aug 30, 2019" paths: /microservices/utility/rsa_decode/v0.1/getresults: post: tags: - - v0.1 + - v0.1.0 responses: '200': description: success response @@ -176,7 +176,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From c2067e609614bd734d21d2df0dd197cd5947861f Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:25:00 +0530 Subject: [PATCH 0460/5916] Update demographics_hdb_sg.yaml --- yaml/demographics_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/demographics_hdb_sg.yaml b/yaml/demographics_hdb_sg.yaml index c34d86e7f..b33449416 100644 --- a/yaml/demographics_hdb_sg.yaml +++ b/yaml/demographics_hdb_sg.yaml @@ -77,17 +77,17 @@ info: Using a filterdata only: > {"filter":[{"terms":{"postalcode":["050034","050532"]}},{"match":{"gender":"female"}},{"terms":{"age_group_id":[6]}}]} - version: '0.1' + version: '0.1.0' servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - May 15, 2020" paths: /DaaS/prod/hdb/demographics: get: tags: - - v0.1 + - v0.1.0 parameters: - in: query name: querystring @@ -415,7 +415,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From f76a79a6831b1993ea9322f97f9c4d09e811730b Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:25:48 +0530 Subject: [PATCH 0461/5916] Update directory_of_singapore_startups.yaml --- yaml/directory_of_singapore_startups.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/directory_of_singapore_startups.yaml b/yaml/directory_of_singapore_startups.yaml index 60739c85b..84f758f9f 100644 --- a/yaml/directory_of_singapore_startups.yaml +++ b/yaml/directory_of_singapore_startups.yaml @@ -74,17 +74,17 @@ info: > "should":[{"match":{"status.e27":"active"}}], > "must_not":[{"match":{"yearestablished.e27":"2016"}}] > } - version: '0.1' + version: '0.1.0' servers: - url: 'https://api.sentient.io' tags: -- name: "v0.1" +- name: "v0.1.0" description: "Published Date - Dec 26, 2018" paths: /DaaS/prod/directories/searchdir: get: tags: - - v0.1 + - v0.1.0 parameters: - in: query name: querystring @@ -514,7 +514,7 @@ components: versions: type: object properties: - v0.1: + v0.1.0: type: array items: oneOf: From 11f079d7b6cd220351a69d28d5dbdc6ffa7f4d59 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:26:44 +0530 Subject: [PATCH 0462/5916] Update document_convertor_eng.yaml --- yaml/document_convertor_eng.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/yaml/document_convertor_eng.yaml b/yaml/document_convertor_eng.yaml index 6001c2bcc..5a691934b 100644 --- a/yaml/document_convertor_eng.yaml +++ b/yaml/document_convertor_eng.yaml @@ -3,18 +3,18 @@ info: title: Document Convertor ENG description: |+ This Utility microservice extracts the English text content of singular input Microsoft Word, HTML or PDF documents and outputs into plain text format. - version: '1.0' + version: '1.0.0' x-subscribelink: document_convertor_eng servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.0" +- name: "v1.0.0" description: "Published Date - Jul 30, 2020" paths: /microservices/utility/docconversion/v1.0/getresults: post: tags: - - v1.0 + - v1.0.0 responses: '200': description: success response @@ -177,7 +177,7 @@ components: versions: type: object properties: - v1.0: + v1.0.0: type: array items: oneOf: From cb7ec5946a0d39775b87a5a4aaa6e76c926e5dd4 Mon Sep 17 00:00:00 2001 From: Mohan Palanisamy <51600193+mohanpalanisamy92@users.noreply.github.com> Date: Fri, 23 Oct 2020 17:27:15 +0530 Subject: [PATCH 0463/5916] Update download_dataset.yaml --- yaml/download_dataset.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/yaml/download_dataset.yaml b/yaml/download_dataset.yaml index 39d123a41..34c1dc112 100644 --- a/yaml/download_dataset.yaml +++ b/yaml/download_dataset.yaml @@ -1,9 +1,9 @@ info: title: Data Alliance - Download Dataset API - version: '0.1' + version: '0.1.0' # tags must include in to the documentation, to read the description text for published date tags: -- name: "v0.1" +- name: "v0.1.0" description: " " html: |+
+paths: + /microservices/voice/vadasr/v1/getpredictions: + post: + tags: + - v0.1.1 +components: + schemas: + versions: + type: object + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 7, 2021 + x-details: Initial version release + description: Latest Version From 9975437c76b5bef50f2327f85556536518e81645 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 10:34:31 +0530 Subject: [PATCH 3068/5916] Update online_automatic_speech_recognition_eng_streaming.yaml --- voice/online_automatic_speech_recognition_eng_streaming.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/voice/online_automatic_speech_recognition_eng_streaming.yaml b/voice/online_automatic_speech_recognition_eng_streaming.yaml index fa46c8f13..d959f7484 100644 --- a/voice/online_automatic_speech_recognition_eng_streaming.yaml +++ b/voice/online_automatic_speech_recognition_eng_streaming.yaml @@ -178,4 +178,3 @@ components: format: float description: Confidence score, 0.0 to 1.0. example: 1 - From 7accfe1940e63fa354cd88143e95a922ff83d3d2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 10:35:43 +0530 Subject: [PATCH 3069/5916] Update online_command_automatic_speech_recognition_eng.yaml --- ...mand_automatic_speech_recognition_eng.yaml | 20 +++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/voice/online_command_automatic_speech_recognition_eng.yaml b/voice/online_command_automatic_speech_recognition_eng.yaml index 9a2f8e82e..ccec17744 100644 --- a/voice/online_command_automatic_speech_recognition_eng.yaml +++ b/voice/online_command_automatic_speech_recognition_eng.yaml @@ -11,6 +11,8 @@ info: The API is billed by the amount of data transferred. x-notes: |+ Payload cannot exceed 10 MB. + servers: + - url: 'https://apis.sentient.io' # tags must include in to the documentation, to read the description text for published date tags: - name: "v0.1.0" @@ -18,3 +20,21 @@ tags: html: |+ +paths: + /microservices/voice/vadasr/v1/getpredictions: + post: + tags: + - v0.1.0 +components: + schemas: + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 31, 2020 + x-details: Initial version release + description: Latest Version From 71ef83fb9c0091564bce096e28f95c2eda661285 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 17 Dec 2021 16:32:20 +1100 Subject: [PATCH 3070/5916] Update online_automatic_speech_recognition_eng.yaml --- voice/online_automatic_speech_recognition_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/online_automatic_speech_recognition_eng.yaml b/voice/online_automatic_speech_recognition_eng.yaml index 76d49e2a7..fda022af3 100644 --- a/voice/online_automatic_speech_recognition_eng.yaml +++ b/voice/online_automatic_speech_recognition_eng.yaml @@ -17,7 +17,7 @@ info: x-notes: |+ Payload cannot exceed 10 MB. servers: - - url: 'https://apis.sentient.io' + - url: 'wss://onlineasr.sentient.io' # tags must include in to the documentation, to read the description text for published date tags: - name: "v0.1.1" @@ -28,7 +28,7 @@ html: |+
paths: - /microservices/voice/vadasr/v1/getpredictions: + /: post: tags: - v0.1.1 From 0e71b307ee6f9ee74751c52f4a8e9e4654938b0d Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 17 Dec 2021 16:36:38 +1100 Subject: [PATCH 3071/5916] Update online_command_automatic_speech_recognition_eng.yaml --- voice/online_command_automatic_speech_recognition_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/online_command_automatic_speech_recognition_eng.yaml b/voice/online_command_automatic_speech_recognition_eng.yaml index ccec17744..a0e3f411c 100644 --- a/voice/online_command_automatic_speech_recognition_eng.yaml +++ b/voice/online_command_automatic_speech_recognition_eng.yaml @@ -12,7 +12,7 @@ info: x-notes: |+ Payload cannot exceed 10 MB. servers: - - url: 'https://apis.sentient.io' + - url: 'wss://onlinecommandasr.sentient.io' # tags must include in to the documentation, to read the description text for published date tags: - name: "v0.1.0" @@ -21,7 +21,7 @@ html: |+ paths: - /microservices/voice/vadasr/v1/getpredictions: + /: post: tags: - v0.1.0 From b50b36ad7ade4b34a61242c37723b0aa404b7528 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 11:35:25 +0530 Subject: [PATCH 3072/5916] Update text_summarization_largefile.yaml --- nlp/text_summarization_largefile.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization_largefile.yaml b/nlp/text_summarization_largefile.yaml index c3ed0fa7b..446bf032c 100644 --- a/nlp/text_summarization_largefile.yaml +++ b/nlp/text_summarization_largefile.yaml @@ -140,10 +140,11 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: 'July 06, 2021' - message: File Processing Successfully Started + last_updated: 'Dec 17, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-peoplecounting/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.086 - status: Processing + status: Success '401': description: Unauthorized content: From b26d143548785e33f046d1cccaf548582db9d6f8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 11:39:56 +0530 Subject: [PATCH 3073/5916] Update text_summarization_largefile.yaml --- nlp/text_summarization_largefile.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization_largefile.yaml b/nlp/text_summarization_largefile.yaml index 446bf032c..b0905fc30 100644 --- a/nlp/text_summarization_largefile.yaml +++ b/nlp/text_summarization_largefile.yaml @@ -208,11 +208,11 @@ components: properties: last_updated: type: string - example: July 06, 2021 + example: Dec 17, 2021 description: Last updated message: type: string - example: File Processing Successfully Started + example: Successfully Processed description: Detail description on the API status request_cost: type: string @@ -220,7 +220,7 @@ components: description: Detail description on the API status status: type: string - example: Processing + example: Success description: Detail description on the API status success: type: object From 2e46dd6b4371acad95e5c2ab3dc4c021145c41de Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 11:47:31 +0530 Subject: [PATCH 3074/5916] Create asr_with_voice_activity_detection_eng_largefile.yaml --- ...oice_activity_detection_eng_largefile.yaml | 468 ++++++++++++++++++ 1 file changed, 468 insertions(+) create mode 100644 voice/asr_with_voice_activity_detection_eng_largefile.yaml diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml new file mode 100644 index 000000000..aba6cae90 --- /dev/null +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -0,0 +1,468 @@ +openapi: 3.0.1 +info: + title: ASR with Voice Activity Detection ENG + description: |+ + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + + This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. + + The length of your audio should be **upto 60 seconds**. + + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + version: '1.2.1' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". + x-subscribelink: asr_with_voice_activity_detection_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 60 seconds. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.2.1" + description: "Published Date - Nov 09, 2021" +paths: + /async/microservices/voice/vadasr/v0/getuploadurl: + post: + tags: + - v1.2.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: text/plain + key: >- + 309/495/lp-vadasr/input/113test_7c949f4a2cdd4cfc87de9a66cbe53eea.mp3 + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211217/auto/storage/goog4_request + x-goog-date: 20211217T054423Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: '0bb7339b0c4e476c9b6475e09034e233' + x-goog-meta-uuid: 7c949f4a2cdd4cfc87de9a66cbe53eea + x-goog-signature: >- + 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 + jid: 7c949f4a2cdd4cfc87de9a66cbe53eea + request_cost: 7.9361 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /async/microservices/voice/vadasr/v0/getstatus: + get: + tags: + - v0.2.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 17, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-peoplecounting/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.0298 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: Dec 17, 2021 + description: Last updated + message: + type: string + example: Successfully Processed + description: Detail description on the API status + request_cost: + type: string + example: 0.0298 + description: Detail description on the API status + status: + type: string + example: Success + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: + + description: Json Object of returned results + properties: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211217T054423Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: 0bb7339b0c4e476c9b6475e09034e233 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 7c949f4a2cdd4cfc87de9a66cbe53eea + description: Google algorithm + x-goog-signature: + type: string + example: 9d5387492104addd79296abe2feb38bbe9947092de7f32c44e85... + description: Google algorithm + jid: + type: string + example: 7c949f4a2cdd4cfc87de9a66cbe53eea + description: Google algorithm + request_cost: + type: string + example: 7.9361 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.2.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 09, 2021 + x-details: Vad bug fix + description: Latest Version + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Depreciating on Nov 08, 2021 + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 14, 2019 + x-details: Initial version release + description: Archived + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: | + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: test.mp3 + description: | + File name + content_type: + x-name: content_type + type: string + default: true + example: audio/mpeg + description: | + Content type + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From fd9918dc9009d1b653cdff5ff9f90cc3a4d61f54 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 11:49:59 +0530 Subject: [PATCH 3075/5916] Update text_summarization_largefile.yaml --- nlp/text_summarization_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_largefile.yaml b/nlp/text_summarization_largefile.yaml index b0905fc30..692f9ac2b 100644 --- a/nlp/text_summarization_largefile.yaml +++ b/nlp/text_summarization_largefile.yaml @@ -142,7 +142,7 @@ paths: example: last_updated: 'Dec 17, 2021' message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-peoplecounting/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=8b88cfac70c9b5402a97777fe630264ed493ec43607aaee434f51d4efda397262cb9f40f0f526a60c8633fd9b5dbc74307ad56f93455a617f401b98d233f53cdac0ab6488e962d2984df08811d57de5a99b53ddf7cb617df68f138df965f99bff5858e02f7c2270f13cd8f0d8a5499fad1736db6371c27f74942e95750b499dcbdc84df0a6f8abd4f43c6030d8daeb426e5b1dccb2abda5a43307caec0bb105d1b828a8749ab03edf7fb69915befd9147e345974d96d1d4c4814fe5edd3516e51c1401a935bd8599ecc297c4daf82e67d1e59b80f20432181815a37096e526fad1b0b7c198076a55fa92a653f7e9683a0feebbe78f2e7658938be9f6052e013e + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-extsummarisation/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.086 status: Success '401': From ffa40fbeee9422aa9d57617a3dd724f390fc7f5e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 11:53:48 +0530 Subject: [PATCH 3076/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- voice/asr_with_voice_activity_detection_eng_largefile.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index aba6cae90..7d308b0eb 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -14,9 +14,9 @@ info: Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". x-subscribelink: asr_with_voice_activity_detection_eng - x-apitype: small file + x-apitype: large file x-apitypedescription: |+ - Fast | Single-Call | 60sec/Call + Asyncronous | Batch | 10GB/File x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ From a15bc6ff997a49d9b4eb45e8368b824694b68f2a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 11:55:26 +0530 Subject: [PATCH 3077/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- voice/asr_with_voice_activity_detection_eng_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index 7d308b0eb..316b4bd6e 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -46,7 +46,7 @@ paths: message: Successfully Processed results: fields: - content-type: text/plain + content-type: audio/mpeg key: >- 309/495/lp-vadasr/input/113test_7c949f4a2cdd4cfc87de9a66cbe53eea.mp3 policy: >- From 5ded94405a02b1ed2fa8e0bf09e1c967e887f5af Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 12:02:55 +0530 Subject: [PATCH 3078/5916] Create people_counting_largefile --- computer_vision/people_counting_largefile | 451 ++++++++++++++++++++++ 1 file changed, 451 insertions(+) create mode 100644 computer_vision/people_counting_largefile diff --git a/computer_vision/people_counting_largefile b/computer_vision/people_counting_largefile new file mode 100644 index 000000000..4951a6c76 --- /dev/null +++ b/computer_vision/people_counting_largefile @@ -0,0 +1,451 @@ +openapi: 3.0.1 +info: + title: People Counting + description: |+ + This Computer Vision microservice tracks and counts people appearing in the input video. + + This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. + + The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. + + For larger image, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective appearance and confidence of each person detected. + x-additionalinfo: |+ + Suggested Use Cases: + - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. + version: '1.0.1' + x-subscribelink: people_counting + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 10GB/File + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size of image file should not exceed 10 MB. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.1" + description: "Published Date - Sep 09, 2021" +paths: + /async/microservices/cv/peoplecounting/v0/getuploadurl: + post: + tags: + - v1.0.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: video/mp4 + key: >- + 309/495/lp-peoplecounting/input/415KB_e7fe34e9c21c4d75bc94051e476141c5.mp4 + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211217/auto/storage/goog4_request + x-goog-date: 20211217T054758Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: '4f206b27f65d4ef2b78f894d967b2d39' + x-goog-meta-uuid: e7fe34e9c21c4d75bc94051e476141c5 + x-goog-signature: >- + 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 + jid: e7fe34e9c21c4d75bc94051e476141c5 + request_cost: 0.0298 + url: 'https://storage.googleapis.com/user_space_dev' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /async/microservices/cv/peoplecounting/v0/getstatus: + get: + tags: + - v0.2.0 + parameters: + - in: query + name: jid + schema: + type: string + example: e7fe34e9c21c4d75bc94051e476141c5 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 17, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-peoplecounting/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.0298 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: Dec 17, 2021 + description: Last updated + message: + type: string + example: Successfully Processed + description: Detail description on the API status + request_cost: + type: string + example: 0.0298 + description: Detail description on the API status + status: + type: string + example: Success + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: + + description: Json Object of returned results + properties: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211217T054758Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: 4f206b27f65d4ef2b78f894d967b2d39 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: e7fe34e9c21c4d75bc94051e476141c5 + description: Google algorithm + x-goog-signature: + type: string + example: 79a52d6b4417e3505fdee766d4ccf4976cbd1f4f95... + description: Google algorithm + jid: + type: string + example: e7fe34e9c21c4d75bc94051e476141c5 + description: Google algorithm + request_cost: + type: string + example: 0.0298 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 09, 2021 + x-details: Bug Fix - Frame Reading + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 25, 2021 + x-details: Standardizing Output JSON + description: Depreciating on Sep 08, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: | + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: test.mp4 + description: | + File name + content_type: + x-name: content_type + type: string + default: true + example: video/mp4 + description: | + Content type + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From df3863b10cf3f3f23798c63e87304bfae5e0752b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 17 Dec 2021 12:03:13 +0530 Subject: [PATCH 3079/5916] Rename people_counting_largefile to people_counting_largefile.yaml --- .../{people_counting_largefile => people_counting_largefile.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename computer_vision/{people_counting_largefile => people_counting_largefile.yaml} (100%) diff --git a/computer_vision/people_counting_largefile b/computer_vision/people_counting_largefile.yaml similarity index 100% rename from computer_vision/people_counting_largefile rename to computer_vision/people_counting_largefile.yaml From 7f1f4f60c2eef9f460a358d61129af4722407863 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Fri, 17 Dec 2021 12:09:06 +0530 Subject: [PATCH 3080/5916] Update online_automatic_speech_recognition_eng.yaml --- voice/online_automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/online_automatic_speech_recognition_eng.yaml b/voice/online_automatic_speech_recognition_eng.yaml index fda022af3..5db1e73f1 100644 --- a/voice/online_automatic_speech_recognition_eng.yaml +++ b/voice/online_automatic_speech_recognition_eng.yaml @@ -16,7 +16,7 @@ info: The API is billed by the amount of data transferred. x-notes: |+ Payload cannot exceed 10 MB. - servers: +servers: - url: 'wss://onlineasr.sentient.io' # tags must include in to the documentation, to read the description text for published date tags: From e47cba3b6090d4310de637bb1dfd16d156d3b670 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Fri, 17 Dec 2021 12:19:27 +0530 Subject: [PATCH 3081/5916] Update online_command_automatic_speech_recognition_eng.yaml --- voice/online_command_automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/online_command_automatic_speech_recognition_eng.yaml b/voice/online_command_automatic_speech_recognition_eng.yaml index a0e3f411c..ec74e22b8 100644 --- a/voice/online_command_automatic_speech_recognition_eng.yaml +++ b/voice/online_command_automatic_speech_recognition_eng.yaml @@ -11,7 +11,7 @@ info: The API is billed by the amount of data transferred. x-notes: |+ Payload cannot exceed 10 MB. - servers: +servers: - url: 'wss://onlinecommandasr.sentient.io' # tags must include in to the documentation, to read the description text for published date tags: From e696b4e3225af6acca5e82f72a9d87ac8c35bcc6 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 17 Dec 2021 15:54:18 +0800 Subject: [PATCH 3082/5916] Modified tts eng yaml --- voice/text-to-speech_eng.yaml | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 08aabe1b4..1f78e45c1 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -8,7 +8,7 @@ info: The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. The input text should not exceed **3000 characters**. - version: 1.1.1 + version: 1.2.1 x-subscribelink: text-to-speech_eng x-apitype: small file x-apitypedescription: |+ @@ -22,10 +22,10 @@ info: x-notes: |+ Size cannot exceed 3000 characters. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.1" - description: "Published Date - Nov 09, 2021" + description: "Published Date - Dec 25, 2021" paths: /microservices/voice/ttseng/v1/getpredictions: post: @@ -218,14 +218,22 @@ components: versions: type: object properties: - v1.1.1: + v1.2.1: type: array items: oneOf: - type: string - example: 'Published Date - Nov 09,2021' - x-details: Model improvement with improved enunciation of acronyms. + example: 'Published Date - Dec 25,2021' + x-details: Model update description: Latest Version + v1.1.1: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Nov 09,2021' + x-details: Model improvement with improved enunciation of acronyms. + description: Latest Version v1.0.1: type: array items: From 8fa6bcce2006e19113bff21cb0ac47800aa8b8bc Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 17 Dec 2021 15:56:18 +0800 Subject: [PATCH 3083/5916] Modified tts eng yaml --- voice/text-to-speech_eng.yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 1f78e45c1..7df49febb 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -24,13 +24,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.1.1" +- name: "v1.2.1" description: "Published Date - Dec 25, 2021" paths: /microservices/voice/ttseng/v1/getpredictions: post: tags: - - v1.1.1 + - v1.2.1 responses: '200': description: success response @@ -219,13 +219,13 @@ components: type: object properties: v1.2.1: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Dec 25,2021' - x-details: Model update - description: Latest Version + type: array + items: + oneOf: + - type: string + example: 'Published Date - Dec 25,2021' + x-details: Model update + description: Latest Version v1.1.1: type: array items: From 276f70d7fd0aefd81ad129d18aa3ba6c63395f18 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 17 Dec 2021 16:42:42 +0800 Subject: [PATCH 3084/5916] modified tts eng yaml --- voice/text-to-speech_eng.yaml | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 7df49febb..2118fb68d 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -218,22 +218,22 @@ components: versions: type: object properties: - v1.2.1: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Dec 25,2021' - x-details: Model update - description: Latest Version - v1.1.1: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Nov 09,2021' - x-details: Model improvement with improved enunciation of acronyms. - description: Latest Version + v1.2.1: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Dec 25,2021' + x-details: Model update + description: Latest Version + v1.1.1: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Nov 09,2021' + x-details: Model improvement with improved enunciation of acronyms. + description: Latest Version v1.0.1: type: array items: From 9131a50b9a39da51501ab4596c3142a7af7b7a7e Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 17 Dec 2021 23:25:42 +1100 Subject: [PATCH 3085/5916] Update text_summarization_largefile.yaml --- nlp/text_summarization_largefile.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/nlp/text_summarization_largefile.yaml b/nlp/text_summarization_largefile.yaml index 692f9ac2b..ffd8d4be6 100644 --- a/nlp/text_summarization_largefile.yaml +++ b/nlp/text_summarization_largefile.yaml @@ -27,6 +27,8 @@ tags: description: 'Published Date - Aug 11, 2021' paths: /async/microservices/nlp/textsummarisation/v0/getuploadurl: + description: |+ + Upload your file to start processing post: tags: - v0.2.0 From 4d4930f91994a43325710de03fe96b77c37e8f32 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 17 Dec 2021 23:28:15 +1100 Subject: [PATCH 3086/5916] Update text_summarization_largefile.yaml --- nlp/text_summarization_largefile.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/nlp/text_summarization_largefile.yaml b/nlp/text_summarization_largefile.yaml index ffd8d4be6..56aff88d7 100644 --- a/nlp/text_summarization_largefile.yaml +++ b/nlp/text_summarization_largefile.yaml @@ -125,6 +125,8 @@ paths: $ref: '#/components/schemas/input' required: true /async/microservices/voice/asr/v0/getstatus: + description: |+ + Query for processing status get: tags: - v0.2.0 From 47dbe0e0e081c061813213da606f0963b53cd471 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 09:43:25 +0530 Subject: [PATCH 3087/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- ...oice_activity_detection_eng_largefile.yaml | 45 +++---------------- 1 file changed, 6 insertions(+), 39 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index 316b4bd6e..4328dd914 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -9,7 +9,7 @@ info: The length of your audio should be **upto 60 seconds**. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. - version: '1.2.1' + version: '0.1.0' x-additionalinfo: |+ Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". @@ -28,13 +28,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.2.1" +- name: "v0.1.0" description: "Published Date - Nov 09, 2021" paths: /async/microservices/voice/vadasr/v0/getuploadurl: post: tags: - - v1.2.1 + - v0.1.0 responses: '200': description: Ok @@ -131,7 +131,7 @@ paths: /async/microservices/voice/vadasr/v0/getstatus: get: tags: - - v0.2.0 + - v0.1.0 parameters: - in: query name: jid @@ -391,47 +391,14 @@ components: versions: type: object properties: - v1.2.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 09, 2021 - x-details: Vad bug fix - description: Latest Version - v1.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: Depreciating on Nov 08, 2021 - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 - v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Dec 14, 2019 + example: Published Date - Dec 17, 2021 x-details: Initial version release - description: Archived + description: Latest Version input: type: object required: From 2897641fb8dbb7b87864dbf0080bb86ae14a5624 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 09:45:00 +0530 Subject: [PATCH 3088/5916] Update people_counting_largefile.yaml --- .../people_counting_largefile.yaml | 26 ++++--------------- 1 file changed, 5 insertions(+), 21 deletions(-) diff --git a/computer_vision/people_counting_largefile.yaml b/computer_vision/people_counting_largefile.yaml index 4951a6c76..4fe6cc3a1 100644 --- a/computer_vision/people_counting_largefile.yaml +++ b/computer_vision/people_counting_largefile.yaml @@ -12,7 +12,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. - version: '1.0.1' + version: '0.1.0' x-subscribelink: people_counting x-apitype: large file x-apitypedescription: |+ @@ -28,13 +28,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.0.1" +- name: "v0.1.0" description: "Published Date - Sep 09, 2021" paths: /async/microservices/cv/peoplecounting/v0/getuploadurl: post: tags: - - v1.0.1 + - v0.1.0 responses: '200': description: Ok @@ -391,30 +391,14 @@ components: versions: type: object properties: - v1.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 09, 2021 - x-details: Bug Fix - Frame Reading - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 25, 2021 - x-details: Standardizing Output JSON - description: Depreciating on Sep 08, 2021 v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Jul 30, 2020 + example: Published Date - Dec 17, 2021 x-details: Initial version release - description: Archived + description: Latest Version input: type: object required: From 9258953d0b839a1df792ca609f45364df147fdcd Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 10:43:08 +0530 Subject: [PATCH 3089/5916] Create google_asr_largefile.yaml --- voice/google_asr_largefile.yaml | 433 ++++++++++++++++++++++++++++++++ 1 file changed, 433 insertions(+) create mode 100644 voice/google_asr_largefile.yaml diff --git a/voice/google_asr_largefile.yaml b/voice/google_asr_largefile.yaml new file mode 100644 index 000000000..731f710cf --- /dev/null +++ b/voice/google_asr_largefile.yaml @@ -0,0 +1,433 @@ +openapi: 3.0.1 +info: + title: Alibaba Chinese A + description: |+ + This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. + The server returns the recognition result in a JSON format as a response. + + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + x-additionalinfo: |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files, mp3. + - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. + version: '0.1.0' + x-subscribelink: automatic_speech_recognition_chi + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 10GB/File + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 60 seconds. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 20, 2021" +paths: + /async/microservices/voice/googleasr/v0/getuploadurl: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T044135Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 + x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f + x-goog-signature: >- + 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 + jid: e4ff367c93664fb9acfa40d9a4c6e43f + request_cost: 0.3323 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /async/microservices/voice/alibabachiasr/v0/getstatus: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 20, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=2f0c7f17542780ba14c1b384ff5f82f27c5b3cf71eaa7abc0c720dbde37ab16123be9e9e42c16eaa6ac7390df9e98cd94884759622c78a7b85f06103220cff40ff8f1af74671e3aa9ee281fabfa7cf1f7a20acd598a488a0e6ad1d58f5a96b950671a7e685329f7f6b365e2c908fa77480515bcecc5624e611f41a41362bb81c5cb8c9649fdea0a427e30675266dd667d3805b4516d1eb1e80ead107ce521555d166a0688b3682336dcb1103a8125cabf92c30fdd111de9f5944832e3d6aa4a9f695b6fc6aa6dc342ac573f1c9c44064e2fe75618b5df25b82c43d27bb55027c9f4cdf09f340980d118851e005aca354fa8410584cc004d9bd621e41c0bf260c + request_cost: 0.3323 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: Dec 20, 2021 + description: Last updated + message: + type: string + example: Successfully Processed + description: Detail description on the API status + request_cost: + type: string + example: :0.3323 + description: Detail description on the API status + status: + type: string + example: Success + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: + + description: Json Object of returned results + properties: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb25... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T044135Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: 4b82151d31e0429ba28f3ad1525c3aa6 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + x-goog-signature: + type: string + example: 53976156d99fe7521e373c45d9e5056a420d25... + description: Google algorithm + jid: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + request_cost: + type: string + example: 0.3323 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 20, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: | + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: test.wav + description: | + File name + content_type: + x-name: content_type + type: string + default: true + example: audio/wav + description: | + Content type + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From cf61e04a85c42e0db004ea232dd244e994d59a20 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 10:44:01 +0530 Subject: [PATCH 3090/5916] Create alibaba_chi_asr_largefile.yaml --- voice/alibaba_chi_asr_largefile.yaml | 434 +++++++++++++++++++++++++++ 1 file changed, 434 insertions(+) create mode 100644 voice/alibaba_chi_asr_largefile.yaml diff --git a/voice/alibaba_chi_asr_largefile.yaml b/voice/alibaba_chi_asr_largefile.yaml new file mode 100644 index 000000000..bd8e21885 --- /dev/null +++ b/voice/alibaba_chi_asr_largefile.yaml @@ -0,0 +1,434 @@ +openapi: 3.0.1 +info: + title: Alibaba Chinese ASR + description: |+ + This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. + The server returns the recognition result in a JSON format as a response. + + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + x-additionalinfo: |+ + Suggested Use Cases: + - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. + - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. + - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. + version: '0.1.0' + x-subscribelink: automatic_speech_recognition_chi + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 10GB/File + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 60 seconds. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 20, 2021" +paths: + /async/microservices/voice/alibabachiasr/v0/getuploadurl: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-alibabachiasr/input/chinetest_4f079ca05c614d789252db1d574664d8.wav + policy: >- + eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhdWRpby93YXYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDQ2Mzc1Ml0seyJjb250ZW50LXR5cGUiOiJhdWRpby93YXYifSx7IngtZ29vZy1tZXRhLWFkZGl0aW9uYWxfcGFyYW0iOiJOb25lIn0seyJ4LWdvb2ctbWV0YS1vaWQiOiIzMDkifSx7IngtZ29vZy1tZXRhLXVpZCI6IjQ5NSJ9LHsieC1nb29nLW1ldGEtdXBsb2FkZXIiOiJmMzYzN2UwN2JjM2I0NWNkYmM3NDY4NjM5NWRmNDNmYSJ9LHsieC1nb29nLW1ldGEtdXVpZCI6IjRmMDc5Y2EwNWM2MTRkNzg5MjUyZGIxZDU3NDY2NGQ4In0seyJidWNrZXQiOiJ1c2VyX3NwYWNlX2RldiJ9LHsia2V5IjoiMzA5LzQ5NS9scC1hbGliYWJhY2hpYXNyL2lucHV0L2NoaW5ldGVzdF80ZjA3OWNhMDVjNjE0ZDc4OTI1MmRiMWQ1NzQ2NjRkOC53YXYifSx7IngtZ29vZy1kYXRlIjoiMjAyMTEyMjBUMDQyOTQwWiJ9LHsieC1nb29nLWNyZWRlbnRpYWwiOiJzZW50aWVudC1kZXYtYmlncXVlcnlAc2VudGllbnQtMjA3MzEwLmlhbS5nc2VydmljZWFjY291bnQuY29tLzIwMjExMjIwL2F1dG8vc3RvcmFnZS9nb29nNF9yZXF1ZXN0In0seyJ4LWdvb2ctYWxnb3JpdGhtIjoiR09PRzQtUlNBLVNIQTI1NiJ9XSwiZXhwaXJhdGlvbiI6IjIwMjEtMTItMjBUMDU6Mjk6NDAuNDM3NTk2WiJ9 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T042940Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: f3637e07bc3b45cdbc74686395df43fa + x-goog-meta-uuid: 4f079ca05c614d789252db1d574664d8 + x-goog-signature: >- + 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 + jid: e7fe34e9c21c4d75bc94051e476141c5 + request_cost: 0.0319 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /async/microservices/voice/alibabachiasr/v0/getstatus: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: e7fe34e9c21c4d75bc94051e476141c5 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 20, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-alibabachiasr/output/chinetest_4f079ca05c614d789252db1d574664d8.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T043649Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.0319 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: Dec 20, 2021 + description: Last updated + message: + type: string + example: Successfully Processed + description: Detail description on the API status + request_cost: + type: string + example: 0.0319 + description: Detail description on the API status + status: + type: string + example: Success + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: + + description: Json Object of returned results + properties: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T042940Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: f3637e07bc3b45cdbc74686395df43fa + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 4f079ca05c614d789252db1d574664d8 + description: Google algorithm + x-goog-signature: + type: string + example: 304d7e52afcea3d6e41818b7c3c71973f275... + description: Google algorithm + jid: + type: string + example: e7fe34e9c21c4d75bc94051e476141c5 + description: Google algorithm + request_cost: + type: string + example: 0.0298 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 20, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: | + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: test.wav + description: | + File name + content_type: + x-name: content_type + type: string + default: true + example: audio/wav + description: | + Content type + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 12ef3b57b1c7301a68c6443021a1da905138abfe Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Mon, 20 Dec 2021 10:50:20 +0530 Subject: [PATCH 3091/5916] Update text_summarization_largefile.yaml --- nlp/text_summarization_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_largefile.yaml b/nlp/text_summarization_largefile.yaml index 56aff88d7..bdda8d7f8 100644 --- a/nlp/text_summarization_largefile.yaml +++ b/nlp/text_summarization_largefile.yaml @@ -126,7 +126,7 @@ paths: required: true /async/microservices/voice/asr/v0/getstatus: description: |+ - Query for processing status + Query for processing status get: tags: - v0.2.0 From 6ce5ecb7edcf1d9b993ce115c23bbf7fd2c94426 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 11:07:45 +0530 Subject: [PATCH 3092/5916] Update demographics_classification.yaml --- computer_vision/demographics_classification.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/demographics_classification.yaml b/computer_vision/demographics_classification.yaml index 2e128ab26..0774d4d63 100644 --- a/computer_vision/demographics_classification.yaml +++ b/computer_vision/demographics_classification.yaml @@ -18,7 +18,7 @@ info: The response rate is slower than the small file API due to large data x-billingmethod: |+ The API is billed by the amount of data transferred. - x-notes: |+ + x-notes: |+ Size of image file should not exceed 10 MB. servers: - url: 'https://apis.sentient.io' From b064a68ce53d192db53fec29bd97b075b5e418c5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 11:09:35 +0530 Subject: [PATCH 3093/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- voice/asr_with_voice_activity_detection_eng_largefile.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index 4328dd914..1011cbd85 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -32,6 +32,8 @@ tags: description: "Published Date - Nov 09, 2021" paths: /async/microservices/voice/vadasr/v0/getuploadurl: + description: |+ + Upload your file to start processing post: tags: - v0.1.0 @@ -129,6 +131,8 @@ paths: $ref: '#/components/schemas/input' required: true /async/microservices/voice/vadasr/v0/getstatus: + description: |+ + Query for processing status get: tags: - v0.1.0 From 93dfd56977dfebf12807b00bc161f28c6bee65e9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 11:10:30 +0530 Subject: [PATCH 3094/5916] Update alibaba_chi_asr_largefile.yaml --- voice/alibaba_chi_asr_largefile.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/voice/alibaba_chi_asr_largefile.yaml b/voice/alibaba_chi_asr_largefile.yaml index bd8e21885..ad37045f6 100644 --- a/voice/alibaba_chi_asr_largefile.yaml +++ b/voice/alibaba_chi_asr_largefile.yaml @@ -4,7 +4,6 @@ info: description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. The server returns the recognition result in a JSON format as a response. - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Suggested Use Cases: @@ -31,6 +30,8 @@ tags: description: "Published Date - Dec 20, 2021" paths: /async/microservices/voice/alibabachiasr/v0/getuploadurl: + description: |+ + Upload your file to start processing post: tags: - v0.1.0 @@ -128,6 +129,8 @@ paths: $ref: '#/components/schemas/input' required: true /async/microservices/voice/alibabachiasr/v0/getstatus: + description: |+ + Query for processing status get: tags: - v0.1.0 From 129214e69c3fad4adb392c429bf4cea44f94a358 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 11:11:30 +0530 Subject: [PATCH 3095/5916] Update google_asr_largefile.yaml --- voice/google_asr_largefile.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/voice/google_asr_largefile.yaml b/voice/google_asr_largefile.yaml index 731f710cf..068aff765 100644 --- a/voice/google_asr_largefile.yaml +++ b/voice/google_asr_largefile.yaml @@ -30,6 +30,8 @@ tags: description: "Published Date - Dec 20, 2021" paths: /async/microservices/voice/googleasr/v0/getuploadurl: + description: |+ + Upload your file to start processing post: tags: - v0.1.0 @@ -127,6 +129,8 @@ paths: $ref: '#/components/schemas/input' required: true /async/microservices/voice/alibabachiasr/v0/getstatus: + description: |+ + Query for processing status get: tags: - v0.1.0 From 01d6b90d2801fd26958feaccb71303d814f21e25 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 11:12:24 +0530 Subject: [PATCH 3096/5916] Update people_counting_largefile.yaml --- computer_vision/people_counting_largefile.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/computer_vision/people_counting_largefile.yaml b/computer_vision/people_counting_largefile.yaml index 4fe6cc3a1..5aacd306e 100644 --- a/computer_vision/people_counting_largefile.yaml +++ b/computer_vision/people_counting_largefile.yaml @@ -32,6 +32,8 @@ tags: description: "Published Date - Sep 09, 2021" paths: /async/microservices/cv/peoplecounting/v0/getuploadurl: + description: |+ + Upload your file to start processing post: tags: - v0.1.0 @@ -129,6 +131,8 @@ paths: $ref: '#/components/schemas/input' required: true /async/microservices/cv/peoplecounting/v0/getstatus: + description: |+ + Query for processing status get: tags: - v0.2.0 From 160621fa8a9a1eb303297f0606af54edfa1df75e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 11:22:53 +0530 Subject: [PATCH 3097/5916] Update google_asr_largefile.yaml --- voice/google_asr_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_largefile.yaml b/voice/google_asr_largefile.yaml index 068aff765..0a78b025c 100644 --- a/voice/google_asr_largefile.yaml +++ b/voice/google_asr_largefile.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Alibaba Chinese A + title: Google Asr description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. The server returns the recognition result in a JSON format as a response. From 522c3f2dc8e7129182c4c3cba5f4fc329c9c2ab7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 11:23:18 +0530 Subject: [PATCH 3098/5916] Update google_asr_largefile.yaml --- voice/google_asr_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_largefile.yaml b/voice/google_asr_largefile.yaml index 0a78b025c..dace68141 100644 --- a/voice/google_asr_largefile.yaml +++ b/voice/google_asr_largefile.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Google Asr + title: Google ASR description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. The server returns the recognition result in a JSON format as a response. From ef4b32ce71ac4fb58c17cd2ba10c1e463b677861 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 11:24:46 +0530 Subject: [PATCH 3099/5916] Update google_asr_largefile.yaml --- voice/google_asr_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_largefile.yaml b/voice/google_asr_largefile.yaml index dace68141..29f9b6dec 100644 --- a/voice/google_asr_largefile.yaml +++ b/voice/google_asr_largefile.yaml @@ -128,7 +128,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /async/microservices/voice/alibabachiasr/v0/getstatus: + /async/microservices/voice/googleasr/v0/getstatus: description: |+ Query for processing status get: From e37b32909f49eb05e7c9fcdfead5cf76dfd1cadb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Dec 2021 12:16:16 +0530 Subject: [PATCH 3100/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 92ce87c8e..61f4a04e1 100644 --- a/index.yaml +++ b/index.yaml @@ -43,7 +43,7 @@ voice: text-to-speech_eng: title: Text-To-Speech ENG versions: - 1.1.1: 'text-to-speech_eng.yaml' + 1.2.1: 'text-to-speech_eng.yaml' text-to-speech_chi: title: Text-To-Speech CHI versions: From 9d64517f7505e8a6bccbba9d0f26e5614a7324cb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Dec 2021 12:56:02 +0530 Subject: [PATCH 3101/5916] Update alibaba_chi_asr.yaml --- voice/alibaba_chi_asr.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index e6ac084bf..5b5cf2f66 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -241,19 +241,19 @@ components: description: |+ The audio sampling rate, in Hz. Valid values: 16000 and 8000. Default value: 16000. punctuation_prediction: - type: string + type: boolean default: false example: false description: |+ Specifies whether to add punctuation marks during post-processing. Valid values: True and False. Default value: False. inverse_text_normalization: - type: string + type: boolean default: false example: false description: |+ Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values: True and False. Default value: False. voice_detection: - type: string + type: boolean default: false example: false description: |+ From d4d634f550f5f800c883ce2869f8518712e21b6c Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Mon, 20 Dec 2021 17:20:57 +0800 Subject: [PATCH 3102/5916] line break --- voice/asr_with_voice_activity_detection_eng.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 37087c6f9..cf166994c 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -3,8 +3,9 @@ info: title: ASR with Voice Activity Detection ENG description: |+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + \n This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - + \n The length of your audio should be **up to 60 seconds**. version: '1.2.1' x-additionalinfo: |+ From 6825bb759c46b14970b77f81516adb7842b29fd1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 20 Dec 2021 16:52:40 +0530 Subject: [PATCH 3103/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 139 ++++++++------------------------ 1 file changed, 33 insertions(+), 106 deletions(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index e24cfb8c3..9327b5807 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -195,120 +195,16 @@ components: _id: type: string description: Document ID - example: "64406c95#64291" - _score: - type: number - description: The document score for the search request - example: 1.0 + example: "1220020162716353" _source: type: object example: {} description: Json Object of returned hits properties: - 1x: - type: number - description: X direction central top position of target - example: 682 - 1y: - type: number - description: Y direction central top position of target - example: 6210 - 2x: - type: number - description: X direction central tail position of target - example: 782 - 2y: - type: number - description: Y direction central tail position of target - example: 6210 - dataclass: - type: string - description: Type of Data - example: "SD" - datalen: - type: number - description: Lenght of the information - example: 936 - datanumlow: - type: number - description: Lower data number - example: 24 - datanumup: - type: number - description: Upper data number - example: 0 - detecttime: - type: string - description: Target detected time - example: "2020-7-7T18:28:48.671Z" - height: - type: number - description: Height of target - example: 47 - identify: - type: number - description: Target vehicle type - example: 12 - jamlane: - type: number - description: Jam lane number - example: 0 - length: - type: number - description: Length of target - example: 100 - originid: - type: string - description: Origin Id - example: "0x145D" - sendtime: - type: string - description: Target send time - example: "2020-7-7T18:28:48.792Z" - createddate: - type: string - description: Record first release date on sentient - example: "2021-03-04T03:29:14.930Z" lastupdated: type: string description: Record last updated date on sentient - example: "2021-03-04T03:29:14.930Z" - seqno: - type: number - description: Sequence number of target - example: 64406 - situation: - type: string - description: Situation of target - example: "0x02" - targetid: - type: string - description: Target Id - example: "c95#64291" - targetidx: - type: string - description: Target Idx - example: "0x1451" - width: - type: number - description: Width of target - example: 100 - xspeed: - type: number - description: xspeed of target - example: 12 - yspeed: - type: number - description: yspeed of target - example: 14 - xcoord: - type: string - description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: "357844.6167091789" - ycoord: - type: string - description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: "148684.80620664736" + example: "2021-02-05T12:28:29.723" location: type: object description: WGS84 (World Geodetic System) lat/long coordinates. This is the standard coordinate system used Global Positioning System (GPS). @@ -322,6 +218,37 @@ components: type: string description: WGS84 (GPS) longitude example: "103.72224233670825" + lat: + type: string + description: WGS84 (GPS) latitude + example: "1.3448589781787064" + lng: + type: string + description: WGS84 (GPS) longitude + example: "103.72224233670825" + angel: + type: float + description: angel + example: 5.7 + id: + type: string + description: id + example: 122002_01627 + timestamp: + description: Recods the time and date on sentient + example: "2021-02-05T12:28:29.723" + type: + type: integer + description: type + example: 11 + unique_id: + type: integer + description: uniqueid + example: 1220020162716353 + sort: + type: array + description: sort + example: 1640025797876 unauthorized: type: object properties: From 2ae15afe21cf2b125dfe960ad97537782106f0aa Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 10:02:09 +0800 Subject: [PATCH 3104/5916] line break --- voice/alibaba_chi_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index 5b5cf2f66..e8cc73c6b 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -3,7 +3,7 @@ info: title: Alibaba Chinese ASR description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. - +
The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ Suggested Use Cases: From c3593528bad4f81e127d2e6148adacbcccbf9345 Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 10:05:44 +0800 Subject: [PATCH 3105/5916] test --- voice/alibaba_chi_asr.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index e8cc73c6b..ff54ea51f 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -4,6 +4,7 @@ info: description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute.
+ Paul The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ Suggested Use Cases: From 4ef4e30f302ad1f46edf005396a6d887fb282923 Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 10:08:53 +0800 Subject: [PATCH 3106/5916] line break --- voice/alibaba_chi_asr.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index ff54ea51f..e8cc73c6b 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -4,7 +4,6 @@ info: description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute.
- Paul The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ Suggested Use Cases: From 42a23b2505ee9e7823bd5788853c5b15a9be36b8 Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 11:04:55 +0800 Subject: [PATCH 3107/5916] line break --- voice/asr_with_voice_activity_detection_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index cf166994c..33f54a514 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -3,9 +3,9 @@ info: title: ASR with Voice Activity Detection ENG description: |+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - \n + /n This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - \n + /n The length of your audio should be **up to 60 seconds**. version: '1.2.1' x-additionalinfo: |+ From 7b8773e338c8d455658d3d30152b3014f1878c23 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 09:44:30 +0530 Subject: [PATCH 3108/5916] Update sentiment_analysis_and_sarcasm_detection.yaml --- nlp/sentiment_analysis_and_sarcasm_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/sentiment_analysis_and_sarcasm_detection.yaml b/nlp/sentiment_analysis_and_sarcasm_detection.yaml index b543e02e8..c907a7630 100644 --- a/nlp/sentiment_analysis_and_sarcasm_detection.yaml +++ b/nlp/sentiment_analysis_and_sarcasm_detection.yaml @@ -19,7 +19,7 @@ info: x-notes: |+ Size cannot exceed 5000 characters. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Sep 08, 2021" From 7f2b3cdae42b89e0565bddbc022619079b66aa09 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 11:04:19 +0530 Subject: [PATCH 3109/5916] Update people_counting_largefile.yaml --- computer_vision/people_counting_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_largefile.yaml b/computer_vision/people_counting_largefile.yaml index 5aacd306e..39e294c1c 100644 --- a/computer_vision/people_counting_largefile.yaml +++ b/computer_vision/people_counting_largefile.yaml @@ -26,7 +26,7 @@ info: x-notes: |+ Size of image file should not exceed 10 MB. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Sep 09, 2021" From 296bd478ec55e6dede92d602bf21e79503cc51fa Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 14:29:07 +0800 Subject: [PATCH 3110/5916] line break| --- voice/alibaba_chi_asr.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index e8cc73c6b..38779b17b 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -1,9 +1,8 @@ openapi: 3.0.1 info: title: Alibaba Chinese ASR - description: |+ + description:| This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. -
The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ Suggested Use Cases: From 78943c938e851422df361e1d5b306fecb093d173 Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 14:33:04 +0800 Subject: [PATCH 3111/5916] line break --- voice/asr_with_voice_activity_detection_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 33f54a514..6a3da8179 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG - description: |+ + description: | This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. /n This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case From 749afdad1ea0d9bf72cedf9cb2e520b61faa232d Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 14:33:28 +0800 Subject: [PATCH 3112/5916] line break --- voice/asr_with_voice_activity_detection_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 6a3da8179..aee80b4fc 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG - description: | + description:| This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. /n This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case From 47f56f552a57231fe86c52d6ffd5deaa43b43e6d Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 14:37:00 +0800 Subject: [PATCH 3113/5916] line break --- voice/alibaba_chi_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index 38779b17b..cd430ff30 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: title: Alibaba Chinese ASR - description:| + description: This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ From 60e700c0a458168958dc157cc381fd4141e819ad Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 21 Dec 2021 12:59:42 +0530 Subject: [PATCH 3114/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- voice/asr_with_voice_activity_detection_eng_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index 1011cbd85..602e4679e 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -26,7 +26,7 @@ info: x-notes: |+ Size cannot exceed 60 seconds. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Nov 09, 2021" From 98e225341f6f3830f694cae73f708a9cb5d6b6a3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 21 Dec 2021 13:08:48 +0530 Subject: [PATCH 3115/5916] Update alibaba_chi_asr.yaml --- voice/alibaba_chi_asr.yaml | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index cd430ff30..7c0a4b173 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -225,38 +225,38 @@ components: type: string default: true example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: |+ + description: Input audio wav file in base64 format. audio_encoding: type: string default: false example: pcm - description: |+ - The audio coding format. Valid values: pcm, opus. Default value: pcm. + description: + The audio coding format. Valid values - pcm, opus. Default value - pcm. sample_rate: type: number default: false example: 16000 - description: |+ - The audio sampling rate, in Hz. Valid values: 16000 and 8000. Default value: 16000. + description: + The audio sampling rate, in Hz. Valid values - 16000 and 8000. Default value - 16000. punctuation_prediction: type: boolean default: false example: false - description: |+ - Specifies whether to add punctuation marks during post-processing. Valid values: True and False. Default value: False. + description: + Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. inverse_text_normalization: type: boolean default: false example: false - description: |+ - Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values: True and False. Default value: False. + description: + Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values - True and False. Default value - False. voice_detection: type: boolean default: false example: false - description: |+ - Specifies whether to enable voice detection. Valid values: True and False. Default value: False. Note: If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. + description: + Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. versions: type: object properties: From 3c735b55004611c01c5a7b3b469d7b5cd53f8c20 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 21 Dec 2021 18:41:38 +1100 Subject: [PATCH 3116/5916] Update alibaba_chi_asr.yaml --- voice/alibaba_chi_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index 7c0a4b173..dc9d5412f 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: title: Alibaba Chinese ASR - description: + description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ From cf387fcf9ab5bc5b765edc6de1d9233186c88012 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 13:18:36 +0530 Subject: [PATCH 3117/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index aee80b4fc..2df694600 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG - description:| + description:|+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. /n This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case From 7216c8fdc658ec73210e5b71fe47620febcc9541 Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 15:49:24 +0800 Subject: [PATCH 3118/5916] line break --- voice/asr_with_voice_activity_detection_eng.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 2df694600..930c5d9d0 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -3,9 +3,7 @@ info: title: ASR with Voice Activity Detection ENG description:|+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - /n This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - /n The length of your audio should be **up to 60 seconds**. version: '1.2.1' x-additionalinfo: |+ From b7cfd93fe3d336287be3da46b883972d37ac37a1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 14:34:10 +0530 Subject: [PATCH 3119/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 9d9e81f8d..79ef4cf4b 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 03, 2021" + description: "Published Date - Dec 21, 2021" paths: /microservices/nlp/googletranslate/v0/getpredictions: post: @@ -226,7 +226,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 03, 2021 + example: Published Date - Dec 21, 2021 x-details: Initial version release description: Latest Version input: From 6a9acab6445ad25f1e7b221d3e2d24372c979846 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 14:36:22 +0530 Subject: [PATCH 3120/5916] Update alibaba_chi_asr_largefile.yaml --- voice/alibaba_chi_asr_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chi_asr_largefile.yaml b/voice/alibaba_chi_asr_largefile.yaml index ad37045f6..4e8a96322 100644 --- a/voice/alibaba_chi_asr_largefile.yaml +++ b/voice/alibaba_chi_asr_largefile.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Alibaba Chinese ASR description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. + This Voice microservice takes in the input audio file and supports recognizing a speech. The server returns the recognition result in a JSON format as a response. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ From 11c92544e9d4ad402216f0f70a4398fb4ba2cf1b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 21 Dec 2021 14:40:17 +0530 Subject: [PATCH 3121/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- voice/asr_with_voice_activity_detection_eng_largefile.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index 602e4679e..b46437e58 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -6,8 +6,6 @@ info: This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. - The length of your audio should be **upto 60 seconds**. - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. version: '0.1.0' x-additionalinfo: |+ From e49cbc82c69c9bb25355cbcdd9f957d10179cd7f Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Wed, 22 Dec 2021 10:29:20 +0800 Subject: [PATCH 3122/5916] line break --- voice/alibaba_chi_asr.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index dc9d5412f..718aace3f 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -3,6 +3,7 @@ info: title: Alibaba Chinese ASR description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. + new Lind The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ Suggested Use Cases: From b74ad8604897cad6b1c5e70bef3ab779531106ff Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Wed, 22 Dec 2021 10:29:50 +0800 Subject: [PATCH 3123/5916] line break --- voice/alibaba_chi_asr.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index 718aace3f..8521760ff 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: Alibaba Chinese ASR description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. - new Lind + This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. new Lind The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ Suggested Use Cases: From f5e168f0e14ad229b5e5c203ca2fd636a006735d Mon Sep 17 00:00:00 2001 From: paulsentient <95895482+paulsentient@users.noreply.github.com> Date: Wed, 22 Dec 2021 10:45:42 +0800 Subject: [PATCH 3124/5916] Update alibaba_chi_asr.yaml --- voice/alibaba_chi_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chi_asr.yaml index 8521760ff..70b93bf83 100644 --- a/voice/alibaba_chi_asr.yaml +++ b/voice/alibaba_chi_asr.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Alibaba Chinese ASR description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. new Lind + This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ Suggested Use Cases: From 7278180e2b74a288b563375b38cba3f4c7b776e5 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 22 Dec 2021 14:56:28 +1100 Subject: [PATCH 3125/5916] Rename asr_with_voice_activity_detection_eng_largefile.yaml to asr_with_voice_activity_detection_eng_largefile-oapispec.yaml --- ...asr_with_voice_activity_detection_eng_largefile-oapispec.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{asr_with_voice_activity_detection_eng_largefile.yaml => asr_with_voice_activity_detection_eng_largefile-oapispec.yaml} (100%) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile-oapispec.yaml similarity index 100% rename from voice/asr_with_voice_activity_detection_eng_largefile.yaml rename to voice/asr_with_voice_activity_detection_eng_largefile-oapispec.yaml From 9bb19e1683d34542c12017cf0b0f92b3c28551e1 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 22 Dec 2021 14:56:52 +1100 Subject: [PATCH 3126/5916] Create asr_with_voice_activity_detection_eng_largefile --- voice/asr_with_voice_activity_detection_eng_largefile | 1 + 1 file changed, 1 insertion(+) create mode 100644 voice/asr_with_voice_activity_detection_eng_largefile diff --git a/voice/asr_with_voice_activity_detection_eng_largefile b/voice/asr_with_voice_activity_detection_eng_largefile new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/voice/asr_with_voice_activity_detection_eng_largefile @@ -0,0 +1 @@ + From 1689c718a4485249b9bcea19e2238ff252edca6a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 22 Dec 2021 14:58:10 +1100 Subject: [PATCH 3127/5916] Update asr_with_voice_activity_detection_eng_largefile --- ...ith_voice_activity_detection_eng_largefile | 47 ++++++++++++++++++- 1 file changed, 46 insertions(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile b/voice/asr_with_voice_activity_detection_eng_largefile index 8b1378917..16a5680a6 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile +++ b/voice/asr_with_voice_activity_detection_eng_largefile @@ -1 +1,46 @@ - +# API Documentation Platfrom will check if the yaml file has a "html" key +# If have "html", will read HTML content and hide all other API documentation element +info: + title: Online Automatic Speech Recognition ENG + description: >- + This Utility microservice converts audio format to the WAV format.

The encoding scheme, bitrate, sample rate of the output WAV are to be specified.

Authentication:

Authentication is done using the x-api-key in the request header. + version: '0.1.1' + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Payload cannot exceed 10 MB. +servers: + - url: 'wss://onlineasr.sentient.io' +# tags must include in to the documentation, to read the description text for published date +tags: +- name: "v0.1.1" + description: "Published Date - Apr 7, 2021" +html: |+ +
+ +
+paths: + /: + post: + tags: + - v0.1.1 +components: + schemas: + versions: + type: object + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 7, 2021 + x-details: Initial version release + description: Latest Version From ecbd8cfc25479785511c784e469651c6dd39c022 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 22 Dec 2021 14:59:55 +1100 Subject: [PATCH 3128/5916] Update asr_with_voice_activity_detection_eng_largefile --- ...ith_voice_activity_detection_eng_largefile | 29 ++++++++++++------- 1 file changed, 19 insertions(+), 10 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile b/voice/asr_with_voice_activity_detection_eng_largefile index 16a5680a6..a3bd19919 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile +++ b/voice/asr_with_voice_activity_detection_eng_largefile @@ -1,12 +1,22 @@ # API Documentation Platfrom will check if the yaml file has a "html" key # If have "html", will read HTML content and hide all other API documentation element +openapi: 3.0.1 info: - title: Online Automatic Speech Recognition ENG - description: >- - This Utility microservice converts audio format to the WAV format.

The encoding scheme, bitrate, sample rate of the output WAV are to be specified.

Authentication:

Authentication is done using the x-api-key in the request header. - version: '0.1.1' + title: ASR with Voice Activity Detection ENG + description: |+ + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + + This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. + + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + version: '0.1.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". + x-subscribelink: asr_with_voice_activity_detection_eng + x-apitype: large file x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call + Asyncronous | Batch | 10GB/File x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ @@ -14,13 +24,12 @@ info: x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ - Payload cannot exceed 10 MB. + Size cannot exceed 60 seconds. servers: - - url: 'wss://onlineasr.sentient.io' -# tags must include in to the documentation, to read the description text for published date + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - Apr 7, 2021" +- name: "v0.1.0" + description: "Published Date - Nov 09, 2021" html: |+
paths: /: post: tags: - - v0.1.1 + - v0.1.0 components: schemas: versions: type: object properties: - v0.1.1: + v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Apr 7, 2021 + example: Published Date - Dec 12, 2021 x-details: Initial version release description: Latest Version From c3da26304d21613b20741dfd5a93a2218208ad90 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 22 Dec 2021 15:50:58 +0530 Subject: [PATCH 3134/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index 61f4a04e1..67b201cbe 100644 --- a/index.yaml +++ b/index.yaml @@ -61,6 +61,10 @@ voice: versions: 1.2.1: 'asr_with_voice_activity_detection_eng.yaml' 0.1.0: 'asr_with_voice_activity_detection_eng_v0.1.yaml' + asr_with_voice_activity_detection_eng_largefile: + title: ASR with Voice Activity Detection ENG Large + versions: + 0.1.0: 'asr_with_voice_activity_detection_eng_largefile.yaml' voice_activity_detection_eng: title: Voice Activity Detection ENG versions: From 08b01e73a8bbbe2f3557ccb0ff5e5db7390a2d14 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 22 Dec 2021 15:51:08 +0530 Subject: [PATCH 3135/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- voice/asr_with_voice_activity_detection_eng_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index 735fe6178..322001f7f 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -2,7 +2,7 @@ # If have "html", will read HTML content and hide all other API documentation element openapi: 3.0.1 info: - title: ASR with Voice Activity Detection ENG + title: ASR with Voice Activity Detection ENG Large description: |+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. From fa281f4725d68d4622cc69d60bc1b0f0bf038cdc Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 22 Dec 2021 16:16:05 +0530 Subject: [PATCH 3136/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- voice/asr_with_voice_activity_detection_eng_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index 322001f7f..1dca5a785 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -32,7 +32,7 @@ tags: description: "Published Date - Nov 09, 2021" html: |+
-
paths: From bb33f70b3a9cccd3a9048ea7f61539f2c5cf3696 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 22 Dec 2021 16:23:28 +0530 Subject: [PATCH 3137/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- voice/asr_with_voice_activity_detection_eng_largefile.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index 1dca5a785..d74da31c8 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -1,6 +1,5 @@ # API Documentation Platfrom will check if the yaml file has a "html" key # If have "html", will read HTML content and hide all other API documentation element -openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG Large description: |+ @@ -29,7 +28,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Nov 09, 2021" + description: "Published Date - Dec 12, 2021" html: |+
-
paths: /: post: From c99c08533f7407fb57916ffe6307f9ae75dcc3a8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 22 Dec 2021 16:27:47 +0530 Subject: [PATCH 3139/5916] Update asr_with_voice_activity_detection_eng_largefile.yaml --- voice/asr_with_voice_activity_detection_eng_largefile.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml index 01b788d46..37a6fbda4 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ b/voice/asr_with_voice_activity_detection_eng_largefile.yaml @@ -21,8 +21,9 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Nov 09, 2021" + description: "Published Date - Dec 12, 2021" html: |+ + paths: From a906c8594a6367806b6ff994182f07ac79aed78c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 11:35:59 +0530 Subject: [PATCH 3140/5916] Update text_summarization_larger_payload.yaml --- nlp/text_summarization_larger_payload.yaml | 1042 ++++++++++---------- 1 file changed, 520 insertions(+), 522 deletions(-) diff --git a/nlp/text_summarization_larger_payload.yaml b/nlp/text_summarization_larger_payload.yaml index bbdc67a8a..0a96d1388 100644 --- a/nlp/text_summarization_larger_payload.yaml +++ b/nlp/text_summarization_larger_payload.yaml @@ -1,529 +1,527 @@ - openapi: 3.0.1 - info: - title: Text Summarization (Large File) - description: |+ - This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. - - The input text should be a minimum of 100 words and a maximum of 512 words. - - For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. - version: '0.2.0' - x-subscribelink: text_summarization - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 0MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 512 words. - servers: - - url: 'https://dev-apis.sentient.io' - tags: - - name: "v0.2.0" - description: "Published Date - Aug 11, 2021" - paths: - /async/microservices/nlp/textsummarisation/v0/getuploadurl: - post: - tags: - - v0.2.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - fields: - content-type: text/plain - key: 1/2/lp-textsummarisation/input/test_1991d4936ddb4728afaa06cb260b0253.txt - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request - x-goog-date: 20211123T105846Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '1' - x-goog-meta-uid: '2' - x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 - x-goog-signature: >- - 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 - jid: 1991d4936ddb4728afaa06cb260b0253 - request_cost: 0 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: +openapi: 3.0.1 +info: + title: Text Summarization (Large File) + description: |+ + This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. + The input text should be a minimum of 100 words and a maximum of 512 words. + For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. + version: '0.1.0' + x-subscribelink: text_summarization + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 0MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed more than 512 words. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 11, 2021" +paths: + /async/microservices/nlp/textsummarisation/v0/getuploadurl: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: text/plain + key: 1/2/lp-textsummarisation/input/test_1991d4936ddb4728afaa06cb260b0253.txt + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request + x-goog-date: 20211123T105846Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '1' + x-goog-meta-uid: '2' + x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 + x-goog-signature: >- + 3d882f0762743e39146aae926435bf0b15e844836db9a0913fddfc04e786b939a8f3d1bcf187883c3c1dec913d1aa8eca4e8e08d7a8fcdf138bfac621f28ed9ef30c842b6a7ad9c7b7fa8a0ee60d4f1b05f7a0322a5bb404d7ce69410a494b1a5848d49ac96cd59c538dc522b21e579979b5d53b9d413e766662f65596ca22bde2f625d349392c04e13ce27d98e0d73a229f50dfc5fdb18873218f97eac6e83a8d088c6c66e49d120d21757d04ab5763565da5594eeafd31d5cc1e68f0f5933f8b2f517db16fa962be6f9c59fc5564fc909fe226c14dddbfdfd1bfc46aa21b72aec3db576b34e73cfb7acfdbca8d5cb14da998fe5c0b7f050c3656bb1d6d6052 + jid: 1991d4936ddb4728afaa06cb260b0253 + request_cost: 0 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found content: application/json: schema: - $ref: '#/components/schemas/input' - required: true - /upload: - post: - servers: - - url: 'https://storage.googleapis.com/user_space_dev/' - description: Override base path for the GET /ping operation - tags: - - v0.2.0 - requestBody: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing content: - multipart/form-data: + application/json: schema: - $ref: '#/components/schemas/uploadinput' - required: true - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - /async/microservices/nlp/textsummarisation/v0/getstatus: - get: - tags: - - v0.2.0 - parameters: - - in: query - name: jid + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 - status: Processing + $ref: '#/components/schemas/input' + required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/nlp/textsummarisation/v0/getstatus: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - components: - schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated - message: - type: string - example: File Processing Successfully Started - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Processing - description: Detail description on the API status - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - fields: - type: object - example: { "" } - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 11, 2021 - x-details: Model Upgrade - description: Latest version - v0.1.2: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 07, 2021 - x-details: Deeper Postprocessing of Summarised text - description: Depreciating on Aug 10,2021 - v0.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - May 12, 2021 - x-details: Postprocessing of Summarised text - description: Depreciating on Jun 07,2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: Initial version release - description: Archived - input: - type: object - required: - - file_name - properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size - file_name: - x-name: file_name - type: string - default: true - format: binary - example: 'test.txt' - description: |+ - File name - content_type: - x-name: content_type - type: string - default: true - example: 'text/plain' - description: |+ - Content type - uploadinput: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: sample.wav - description: file - content-type: - type: string - default: false - example: application/pdf - description: Fields - key: - type: string - default: false - example: 1/2/lp-textsummarisation/input/Pdf_6mb_cf3d329bd9df4cef91966c336386eea3.pdf - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: {\"password\": \"fffff\"} - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 1 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 2 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 - description: Fields - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 11, 2021 + x-details: Model Upgrade + description: Latest version + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 07, 2021 + x-details: Deeper Postprocessing of Summarised text + description: Depreciating on Aug 10,2021 + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 12, 2021 + x-details: Postprocessing of Summarised text + description: Depreciating on Jun 07,2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Initial version release + description: Archived + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: |+ + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: 'test.txt' + description: |+ + File name + content_type: + x-name: content_type + type: string + default: true + example: 'text/plain' + description: |+ + Content type + uploadinput: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: application/pdf + description: Fields + key: + type: string + default: false + example: 1/2/lp-textsummarisation/input/Pdf_6mb_cf3d329bd9df4cef91966c336386eea3.pdf + description: Fields + policy: + type: string + default: false + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhcHBsaWNhdGlvbi9wZGYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDE0MDczMjYxXSx7ImNvbnRlbnQtdHlwZSI6ImFwcGxpY2F0aW9uL3BkZiJ9LHsieC1nb29nLW1ldGEtYWRkaXRpb25hbF9wYXJhbSI6IntcInBhc3N3b3JkXCI6IFwiZmZmZmZcIn0ifSx7IngtZ29vZy1tZXRhLW9pZCI6IjEifSx7IngtZ29vZy1tZXRhLXVpZCI6IjIifSx7IngtZ29vZy1tZXRhLXV1aWQiOiJjZjNkMzI5YmQ5ZGY0Y2VmOTE5NjZjMzM2Mzg2ZWVhMyJ9LHsiYnVja2V0IjoidXNlcl9zcGFjZV9kZXYifSx7ImtleSI6IjEvMi9scC10ZXh0c3VtbWFyaXNhdGlvbi9pbnB1dC9QZGZfNm1iX2NmM2QzMjliZDlkZjRjZWY5MTk2NmMzMzYzODZlZWEzLnBkZiJ9LHsieC1nb29nLWRhdGUiOiIyMDIxMTIwOVQwOTU1MDdaIn0seyJ4LWdvb2ctY3JlZGVudGlhbCI6InNlbnRpZW50LWRldi1iaWdxdWVyeUBzZW50aWVudC0yMDczMTAuaWFtLmdzZXJ2aWNlYWNjb3VudC5jb20vMjAyMTEyMDkvYXV0by9zdG9yYWdlL2dvb2c0X3JlcXVlc3QifSx7IngtZ29vZy1hbGdvcml0aG0iOiJHT09HNC1SU0EtU0hBMjU2In1dLCJleHBpcmF0aW9uIjoiMjAyMS0xMi0wOVQxMDo1NTowNy41MDYwNDBaIn0= + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: {\"password\": \"fffff\"} + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 1 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 2 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From ab842f3b981ec30fef3c1869049dc5a2a3c6cc76 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 11:53:33 +0530 Subject: [PATCH 3141/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 67b201cbe..aa6a5055e 100644 --- a/index.yaml +++ b/index.yaml @@ -139,7 +139,7 @@ nlp: text_summarization_larger_payload: title: Text Summarization Larger Payload versions: - 0.2.0: 'text_summarization_larger_payload.yaml' + 0.1.0: 'text_summarization_larger_payload.yaml' sentiment_analysis_and_sarcasm_detection: title: Sentiment Analysis and Sarcasm Detection versions: From 50626d48dbf342ce5f4084d0dad553c9bc107203 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 11:53:34 +0530 Subject: [PATCH 3142/5916] Update text_summarization_larger_payload.yaml --- nlp/text_summarization_larger_payload.yaml | 26 +--------------------- 1 file changed, 1 insertion(+), 25 deletions(-) diff --git a/nlp/text_summarization_larger_payload.yaml b/nlp/text_summarization_larger_payload.yaml index 0a96d1388..f5c0503ae 100644 --- a/nlp/text_summarization_larger_payload.yaml +++ b/nlp/text_summarization_larger_payload.yaml @@ -398,36 +398,12 @@ components: versions: type: object properties: - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 11, 2021 - x-details: Model Upgrade - description: Latest version - v0.1.2: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 07, 2021 - x-details: Deeper Postprocessing of Summarised text - description: Depreciating on Aug 10,2021 - v0.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - May 12, 2021 - x-details: Postprocessing of Summarised text - description: Depreciating on Jun 07,2021 v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Apr 07, 2021 + example: Published Date - Dec 23, 2021 x-details: Initial version release description: Archived input: From 2dacbd3239ce88afdf1ae693a5edd1eea2d70342 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 12:18:26 +0530 Subject: [PATCH 3143/5916] Update and rename text_summarization_larger_payload.yaml to text_summarization_large_file.yaml --- ...n_larger_payload.yaml => text_summarization_large_file.yaml} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename nlp/{text_summarization_larger_payload.yaml => text_summarization_large_file.yaml} (99%) diff --git a/nlp/text_summarization_larger_payload.yaml b/nlp/text_summarization_large_file.yaml similarity index 99% rename from nlp/text_summarization_larger_payload.yaml rename to nlp/text_summarization_large_file.yaml index f5c0503ae..7193e369b 100644 --- a/nlp/text_summarization_larger_payload.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -6,7 +6,7 @@ info: The input text should be a minimum of 100 words and a maximum of 512 words. For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. version: '0.1.0' - x-subscribelink: text_summarization + x-subscribelink: text_summarization_large_file x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 0MB/Call From a246f443be1162d79df8913acdaf0e797080d0d1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 12:18:43 +0530 Subject: [PATCH 3144/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index aa6a5055e..81d201422 100644 --- a/index.yaml +++ b/index.yaml @@ -136,10 +136,10 @@ nlp: title: Text Summarization versions: 0.2.0: 'text_summarization.yaml' - text_summarization_larger_payload: + text_summarization_large_file: title: Text Summarization Larger Payload versions: - 0.1.0: 'text_summarization_larger_payload.yaml' + 0.1.0: 'text_summarization_large_file.yaml' sentiment_analysis_and_sarcasm_detection: title: Sentiment Analysis and Sarcasm Detection versions: From da3a8f1d5c343de8ddbb2ff6aa540bf135a4f32e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 12:19:25 +0530 Subject: [PATCH 3145/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 81d201422..14a7c353e 100644 --- a/index.yaml +++ b/index.yaml @@ -137,7 +137,7 @@ nlp: versions: 0.2.0: 'text_summarization.yaml' text_summarization_large_file: - title: Text Summarization Larger Payload + title: Text Summarization Large File versions: 0.1.0: 'text_summarization_large_file.yaml' sentiment_analysis_and_sarcasm_detection: From 195761aaa4df2d560a4fc0caf4d462697173e048 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 12:51:41 +0530 Subject: [PATCH 3146/5916] Update and rename asr_with_voice_activity_detection_eng_largefile-oapispec.yaml to asr_with_voice_activity_detection_eng_large_file.yaml --- ...ce_activity_detection_eng_large_file.yaml} | 116 +++++++++++++++++- 1 file changed, 110 insertions(+), 6 deletions(-) rename voice/{asr_with_voice_activity_detection_eng_largefile-oapispec.yaml => asr_with_voice_activity_detection_eng_large_file.yaml} (76%) diff --git a/voice/asr_with_voice_activity_detection_eng_largefile-oapispec.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml similarity index 76% rename from voice/asr_with_voice_activity_detection_eng_largefile-oapispec.yaml rename to voice/asr_with_voice_activity_detection_eng_large_file.yaml index b46437e58..9259cac37 100644 --- a/voice/asr_with_voice_activity_detection_eng_largefile-oapispec.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: ASR with Voice Activity Detection ENG + title: ASR with Voice Activity Detection ENG (Large)) description: |+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. @@ -128,6 +128,28 @@ paths: schema: $ref: '#/components/schemas/input' required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed /async/microservices/voice/vadasr/v0/getstatus: description: |+ Query for processing status @@ -411,23 +433,105 @@ components: type: integer default: true example: 1227936 - description: | + description: |+ File Size file_name: x-name: file_name type: string default: true format: binary - example: test.mp3 - description: | + example: 'test.txt' + description: |+ File name content_type: x-name: content_type type: string default: true - example: audio/mpeg - description: | + example: 'text/plain' + description: |+ Content type + additional_param: + x-name: additional_param + type: object + properties: + model: + x-name: model + type: string + default: true + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. + threshold: + x-name: threshold + type: number + default: true + example: 1.0 + description: |+ + 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + uploadinput: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: application/pdf + description: Fields + key: + type: string + default: false + example: 1757/2531/lp-vadasr/input/4test_61c2cadaaae5479fa24494a8a073b86c.wav + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: {\"password\": \"fffff\"} + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 1 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 2 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields securitySchemes: APIAuthorizer: type: apiKey From 3f6213ad38fb565330d3f5c49c9faacc55aaacd5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 12:55:19 +0530 Subject: [PATCH 3147/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 14a7c353e..21552d522 100644 --- a/index.yaml +++ b/index.yaml @@ -62,7 +62,7 @@ voice: 1.2.1: 'asr_with_voice_activity_detection_eng.yaml' 0.1.0: 'asr_with_voice_activity_detection_eng_v0.1.yaml' asr_with_voice_activity_detection_eng_largefile: - title: ASR with Voice Activity Detection ENG Large + title: ASR with Voice Activity Detection ENG Large File versions: 0.1.0: 'asr_with_voice_activity_detection_eng_largefile.yaml' voice_activity_detection_eng: From f5c3cf68f6cdf3901acfa542c69882f981c37e7e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 12:58:41 +0530 Subject: [PATCH 3148/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 21552d522..160920ac1 100644 --- a/index.yaml +++ b/index.yaml @@ -61,10 +61,10 @@ voice: versions: 1.2.1: 'asr_with_voice_activity_detection_eng.yaml' 0.1.0: 'asr_with_voice_activity_detection_eng_v0.1.yaml' - asr_with_voice_activity_detection_eng_largefile: + asr_with_voice_activity_detection_eng_large_file: title: ASR with Voice Activity Detection ENG Large File versions: - 0.1.0: 'asr_with_voice_activity_detection_eng_largefile.yaml' + 0.1.0: 'asr_with_voice_activity_detection_eng_large_file.yaml' voice_activity_detection_eng: title: Voice Activity Detection ENG versions: From d0c2eaacc83f4b32136eb05092fc761e1d226991 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 13:10:48 +0530 Subject: [PATCH 3149/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 9259cac37..23e230578 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Nov 09, 2021" + description: "Published Date - Dec 23, 2021" paths: /async/microservices/voice/vadasr/v0/getuploadurl: description: |+ @@ -420,7 +420,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 17, 2021 + example: Published Date - Dec 23, 2021 x-details: Initial version release description: Latest Version input: From 5304573cc75091c1d630a266f9239ced80adc240 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 14:36:14 +0530 Subject: [PATCH 3150/5916] Update people_counting_largefile.yaml --- .../people_counting_largefile.yaml | 89 ++++++++++++++++++- 1 file changed, 85 insertions(+), 4 deletions(-) diff --git a/computer_vision/people_counting_largefile.yaml b/computer_vision/people_counting_largefile.yaml index 39e294c1c..61c9e8e40 100644 --- a/computer_vision/people_counting_largefile.yaml +++ b/computer_vision/people_counting_largefile.yaml @@ -7,7 +7,6 @@ info: This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. - For larger image, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective appearance and confidence of each person detected. x-additionalinfo: |+ Suggested Use Cases: @@ -29,7 +28,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Sep 09, 2021" + description: "Published Date - Dec 23, 2021" paths: /async/microservices/cv/peoplecounting/v0/getuploadurl: description: |+ @@ -130,12 +129,34 @@ paths: schema: $ref: '#/components/schemas/input' required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed /async/microservices/cv/peoplecounting/v0/getstatus: description: |+ Query for processing status get: tags: - - v0.2.0 + - v0.1.0 parameters: - in: query name: jid @@ -400,7 +421,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 17, 2021 + example: Published Date - Dec 23, 2021 x-details: Initial version release description: Latest Version input: @@ -430,6 +451,66 @@ components: example: video/mp4 description: | Content type + uploadinput: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: application/pdf + description: Fields + key: + type: string + default: false + example: 309/495/lp-peoplecounting/input/415KB_e7fe34e9c21c4d75bc94051e476141c5.mp4 + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-meta-additional_param: + type: string + default: false + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 1 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 2 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields securitySchemes: APIAuthorizer: type: apiKey From bea639d93366a3bcfd47241e9241c9de05d93222 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 14:38:15 +0530 Subject: [PATCH 3151/5916] Update index.yaml --- index.yaml | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/index.yaml b/index.yaml index 160920ac1..ea3b3f05c 100644 --- a/index.yaml +++ b/index.yaml @@ -168,6 +168,15 @@ computer vision: versions: 1.0.1: 'people_counting.yaml' 0.1.0: 'people_counting_v0.1.yaml' + people_counting: + title: People Counting + versions: + 1.0.1: 'people_counting.yaml' + 0.1.0: 'people_counting_v0.1.yaml' + people_counting_large_file: + title: People Counting (Large File) + versions: + 0.1.0: 'people_counting_large_file.yaml' person_reidentification: title: Person Reidentification versions: From 79bb06c467c234247a3da9741528684dc6c460e9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 14:38:19 +0530 Subject: [PATCH 3152/5916] Update and rename people_counting_largefile.yaml to people_counting_large_file.yaml --- ...ounting_largefile.yaml => people_counting_large_file.yaml} | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) rename computer_vision/{people_counting_largefile.yaml => people_counting_large_file.yaml} (99%) diff --git a/computer_vision/people_counting_largefile.yaml b/computer_vision/people_counting_large_file.yaml similarity index 99% rename from computer_vision/people_counting_largefile.yaml rename to computer_vision/people_counting_large_file.yaml index 61c9e8e40..2784031d9 100644 --- a/computer_vision/people_counting_largefile.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: People Counting + title: People Counting (Large File) description: |+ This Computer Vision microservice tracks and counts people appearing in the input video. @@ -12,7 +12,7 @@ info: Suggested Use Cases: - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. version: '0.1.0' - x-subscribelink: people_counting + x-subscribelink: people_counting_large_file x-apitype: large file x-apitypedescription: |+ Asyncronous | Batch | 10GB/File From 901ba5fb55cdb48fdc9e17d48fc4c374c857b014 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 14:43:08 +0530 Subject: [PATCH 3153/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 2784031d9..ad626712d 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -475,13 +475,18 @@ components: policy: type: string default: false - example: 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 + example: 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 description: Fields x-goog-algorithm: type: string default: false example: GOOG4-RSA-SHA256 description: Fields + x-goog-date: + type: string + default: false + example: 20211217T054758Z + description: Fields x-goog-credential: type: string default: false @@ -506,6 +511,11 @@ components: default: false example: cf3d329bd9df4cef91966c336386eea3 description: Fields + x-goog-meta-uploader: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields x-goog-signature: type: string default: false From 147d2105f86b0ca149a3aecae184b5fa1212fd65 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 14:44:19 +0530 Subject: [PATCH 3154/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index ad626712d..36c4cf04e 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -434,22 +434,22 @@ components: type: integer default: true example: 1227936 - description: | + description: |+ File Size file_name: x-name: file_name type: string default: true format: binary - example: test.mp4 - description: | + example: 'test.txt' + description: |+ File name content_type: x-name: content_type type: string default: true - example: video/mp4 - description: | + example: 'text/plain' + description: |+ Content type uploadinput: type: object From f9e8cabec57cda298e9ffc891e0e7d05e9f9b205 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 14:58:07 +0530 Subject: [PATCH 3155/5916] Update and rename alibaba_chi_asr_largefile.yaml to alibaba_chi_asr_large_file.yaml --- ...e.yaml => alibaba_chi_asr_large_file.yaml} | 201 +++++++++++++----- 1 file changed, 142 insertions(+), 59 deletions(-) rename voice/{alibaba_chi_asr_largefile.yaml => alibaba_chi_asr_large_file.yaml} (76%) diff --git a/voice/alibaba_chi_asr_largefile.yaml b/voice/alibaba_chi_asr_large_file.yaml similarity index 76% rename from voice/alibaba_chi_asr_largefile.yaml rename to voice/alibaba_chi_asr_large_file.yaml index 4e8a96322..17d65094c 100644 --- a/voice/alibaba_chi_asr_largefile.yaml +++ b/voice/alibaba_chi_asr_large_file.yaml @@ -27,11 +27,9 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 20, 2021" + description: "Published Date - Dec 23, 2021" paths: /async/microservices/voice/alibabachiasr/v0/getuploadurl: - description: |+ - Upload your file to start processing post: tags: - v0.1.0 @@ -90,6 +88,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' '413': description: Payload Too Large content: @@ -102,12 +106,6 @@ paths: application/json: schema: $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' '500': description: Internal Server Error content: @@ -128,9 +126,29 @@ paths: schema: $ref: '#/components/schemas/input' required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed /async/microservices/voice/alibabachiasr/v0/getstatus: - description: |+ - Query for processing status get: tags: - v0.1.0 @@ -139,7 +157,7 @@ paths: name: jid schema: type: string - example: e7fe34e9c21c4d75bc94051e476141c5 + example: 36d075917dcd481e9daf858a2549f3b1 responses: '200': description: Ok @@ -147,12 +165,12 @@ paths: application/json: schema: $ref: '#/components/schemas/getsuccess' - example: - last_updated: 'Dec 20, 2021' - message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-alibabachiasr/output/chinetest_4f079ca05c614d789252db1d574664d8.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T043649Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.0319 - status: Success + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing + '401': description: Unauthorized content: @@ -177,6 +195,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' '413': description: Payload Too Large content: @@ -189,12 +213,6 @@ paths: application/json: schema: $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' '500': description: Internal Server Error content: @@ -216,19 +234,19 @@ components: properties: last_updated: type: string - example: Dec 20, 2021 + example: 2021-07-06 12:50:30 description: Last updated message: type: string - example: Successfully Processed + example: File Processing Successfully Started description: Detail description on the API status request_cost: type: string - example: 0.0319 + example: 0.086 description: Detail description on the API status status: type: string - example: Success + example: Processing description: Detail description on the API status success: type: object @@ -239,14 +257,12 @@ components: description: Detail description on the API status results: type: object - example: - + example: { "" } description: Json Object of returned results - properties: + properties: fields: type: object - example: - + example: { "" } description: Json Object of returned results properties: content-type: @@ -255,7 +271,7 @@ components: description: Content type of the document policy: type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... description: Content type of the document x-goog-algorithm: type: string @@ -267,7 +283,7 @@ components: description: Google algorithm x-goog-date: type: string - example: 20211220T042940Z + example: 20211123T105846Z description: Google algorithm x-goog-meta-additional_param: type: string @@ -275,40 +291,36 @@ components: description: Google algorithm x-goog-meta-oid: type: string - example: 309 + example: 1 description: Google algorithm x-goog-meta-uid: type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: f3637e07bc3b45cdbc74686395df43fa + example: 2 description: Google algorithm x-goog-meta-uuid: type: string - example: 4f079ca05c614d789252db1d574664d8 + example: 1991d4936ddb4728afaa06cb260b0253 description: Google algorithm x-goog-signature: type: string - example: 304d7e52afcea3d6e41818b7c3c71973f275... + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... description: Google algorithm jid: type: string - example: e7fe34e9c21c4d75bc94051e476141c5 - description: Google algorithm + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm request_cost: type: string - example: 0.0298 - description: Google algorithm + example: 0 + description: Google algorithm url: type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call success/failure unauthorized: type: object properties: @@ -389,7 +401,7 @@ components: example: Input Limit Exceeded status: type: string - example: Failure + example: Failure versions: type: object properties: @@ -398,9 +410,9 @@ components: items: oneOf: - type: string - example: Published Date - Dec 20, 2021 - x-details: Initial version release - description: Latest Version + example: Published Date - Dec 23, 2021 + x-details: Initial version release + description: Archived input: type: object required: @@ -411,23 +423,94 @@ components: type: integer default: true example: 1227936 - description: | + description: |+ File Size file_name: x-name: file_name type: string default: true format: binary - example: test.wav - description: | + example: 'test.txt' + description: |+ File name content_type: x-name: content_type type: string default: true - example: audio/wav - description: | + example: 'text/plain' + description: |+ Content type + uploadinput: + type: object + required: + - filePath + properties: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T042940Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: f3637e07bc3b45cdbc74686395df43fa + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 4f079ca05c614d789252db1d574664d8 + description: Google algorithm + x-goog-signature: + type: string + example: 304d7e52afcea3d6e41818b7c3c71973f275... + description: Google algorithm + jid: + type: string + example: e7fe34e9c21c4d75bc94051e476141c5 + description: Google algorithm + request_cost: + type: string + example: 0.0298 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure securitySchemes: APIAuthorizer: type: apiKey From 12ea183b2ac11c93be899fde1f3575505f21c634 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 14:59:27 +0530 Subject: [PATCH 3156/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index ea3b3f05c..7b42b74bf 100644 --- a/index.yaml +++ b/index.yaml @@ -74,6 +74,10 @@ voice: title: Alibaba Chinese ASR versions: 0.1.0: 'alibaba_chi_asr.yaml' + alibaba_chi_asr_large_file: + title: Alibaba Chinese ASR Large File + versions: + 0.1.0: 'alibaba_chi_asr_large_file.yaml' speaker_diarization: title: Speaker Diarization versions: From 9bb9ec980be099613b58ada727aee678e3ccf7d4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 15:00:21 +0530 Subject: [PATCH 3157/5916] Update alibaba_chi_asr_large_file.yaml --- voice/alibaba_chi_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chi_asr_large_file.yaml b/voice/alibaba_chi_asr_large_file.yaml index 17d65094c..0da440ae9 100644 --- a/voice/alibaba_chi_asr_large_file.yaml +++ b/voice/alibaba_chi_asr_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Alibaba Chinese ASR + title: Alibaba Chinese ASR (Large File) description: |+ This Voice microservice takes in the input audio file and supports recognizing a speech. The server returns the recognition result in a JSON format as a response. From 62acb14e022167d5d612c6cdccc7ca528f44fafd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 15:10:44 +0530 Subject: [PATCH 3158/5916] Update and rename google_asr_largefile.yaml to google_asr_large_file.yaml --- ...gefile.yaml => google_asr_large_file.yaml} | 194 +++++++++++++----- 1 file changed, 139 insertions(+), 55 deletions(-) rename voice/{google_asr_largefile.yaml => google_asr_large_file.yaml} (77%) diff --git a/voice/google_asr_largefile.yaml b/voice/google_asr_large_file.yaml similarity index 77% rename from voice/google_asr_largefile.yaml rename to voice/google_asr_large_file.yaml index 29f9b6dec..e939d1cf4 100644 --- a/voice/google_asr_largefile.yaml +++ b/voice/google_asr_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Google ASR + title: Google ASR Large File description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. The server returns the recognition result in a JSON format as a response. @@ -27,11 +27,9 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 20, 2021" + description: "Published Date - Aug 11, 2021" paths: - /async/microservices/voice/googleasr/v0/getuploadurl: - description: |+ - Upload your file to start processing + /async/microservices/voice/alibabachiasr/v0/getuploadurl: post: tags: - v0.1.0 @@ -90,6 +88,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' '413': description: Payload Too Large content: @@ -102,12 +106,6 @@ paths: application/json: schema: $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' '500': description: Internal Server Error content: @@ -128,9 +126,29 @@ paths: schema: $ref: '#/components/schemas/input' required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed /async/microservices/voice/googleasr/v0/getstatus: - description: |+ - Query for processing status get: tags: - v0.1.0 @@ -139,7 +157,7 @@ paths: name: jid schema: type: string - example: e4ff367c93664fb9acfa40d9a4c6e43f + example: 36d075917dcd481e9daf858a2549f3b1 responses: '200': description: Ok @@ -153,6 +171,7 @@ paths: output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.3323 status: Success + '401': description: Unauthorized content: @@ -177,6 +196,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' '413': description: Payload Too Large content: @@ -189,12 +214,6 @@ paths: application/json: schema: $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' '500': description: Internal Server Error content: @@ -216,19 +235,19 @@ components: properties: last_updated: type: string - example: Dec 20, 2021 + example: 2021-07-06 12:50:30 description: Last updated message: type: string - example: Successfully Processed + example: File Processing Successfully Started description: Detail description on the API status request_cost: type: string - example: :0.3323 + example: 0.086 description: Detail description on the API status status: type: string - example: Success + example: Processing description: Detail description on the API status success: type: object @@ -239,14 +258,12 @@ components: description: Detail description on the API status results: type: object - example: - + example: { "" } description: Json Object of returned results - properties: + properties: fields: type: object - example: - + example: { "" } description: Json Object of returned results properties: content-type: @@ -255,7 +272,7 @@ components: description: Content type of the document policy: type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb25... + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... description: Content type of the document x-goog-algorithm: type: string @@ -267,7 +284,7 @@ components: description: Google algorithm x-goog-date: type: string - example: 20211220T044135Z + example: 20211123T105846Z description: Google algorithm x-goog-meta-additional_param: type: string @@ -275,40 +292,36 @@ components: description: Google algorithm x-goog-meta-oid: type: string - example: 309 + example: 1 description: Google algorithm x-goog-meta-uid: type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: 4b82151d31e0429ba28f3ad1525c3aa6 + example: 2 description: Google algorithm x-goog-meta-uuid: type: string - example: e4ff367c93664fb9acfa40d9a4c6e43f + example: 1991d4936ddb4728afaa06cb260b0253 description: Google algorithm x-goog-signature: type: string - example: 53976156d99fe7521e373c45d9e5056a420d25... + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... description: Google algorithm jid: type: string - example: e4ff367c93664fb9acfa40d9a4c6e43f - description: Google algorithm + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm request_cost: type: string - example: 0.3323 - description: Google algorithm + example: 0 + description: Google algorithm url: type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call success/failure unauthorized: type: object properties: @@ -389,7 +402,7 @@ components: example: Input Limit Exceeded status: type: string - example: Failure + example: Failure versions: type: object properties: @@ -398,9 +411,9 @@ components: items: oneOf: - type: string - example: Published Date - Dec 20, 2021 - x-details: Initial version release - description: Latest Version + example: Published Date - Dec 23, 2021 + x-details: Initial version release + description: Archived input: type: object required: @@ -411,23 +424,94 @@ components: type: integer default: true example: 1227936 - description: | + description: |+ File Size file_name: x-name: file_name type: string default: true format: binary - example: test.wav - description: | + example: 'test.txt' + description: |+ File name content_type: x-name: content_type type: string default: true - example: audio/wav - description: | + example: 'text/plain' + description: |+ Content type + uploadinput: + type: object + required: + - filePath + properties: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb25... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T044135Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: 4b82151d31e0429ba28f3ad1525c3aa6 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + x-goog-signature: + type: string + example: 53976156d99fe7521e373c45d9e5056a420d25... + description: Google algorithm + jid: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + request_cost: + type: string + example: 0.3323 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure securitySchemes: APIAuthorizer: type: apiKey From df5f9fbe3c2d43f22e3523ca419fe80288e1d63a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 15:16:45 +0530 Subject: [PATCH 3159/5916] Update index.yaml --- index.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 7b42b74bf..49e9baaa7 100644 --- a/index.yaml +++ b/index.yaml @@ -77,7 +77,11 @@ voice: alibaba_chi_asr_large_file: title: Alibaba Chinese ASR Large File versions: - 0.1.0: 'alibaba_chi_asr_large_file.yaml' + 0.1.0: 'alibaba_chi_asr_large_file.yaml' + google_asr_large_file: + title: Google ASR (Large File) + versions: + 0.1.0: 'google_asr_large_file.yaml' speaker_diarization: title: Speaker Diarization versions: From 073078257ac31fef10f6af706edae6306da47228 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 15:18:09 +0530 Subject: [PATCH 3160/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 49e9baaa7..18514ce99 100644 --- a/index.yaml +++ b/index.yaml @@ -79,7 +79,7 @@ voice: versions: 0.1.0: 'alibaba_chi_asr_large_file.yaml' google_asr_large_file: - title: Google ASR (Large File) + title: Google ASR Large File versions: 0.1.0: 'google_asr_large_file.yaml' speaker_diarization: From b2bec839bcdf86cc979b32b4d76019072794bff4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 16:24:18 +0530 Subject: [PATCH 3161/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- ...ice_activity_detection_eng_large_file.yaml | 118 +++++++----------- 1 file changed, 44 insertions(+), 74 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 23e230578..d6c14b71f 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -27,11 +27,9 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 23, 2021" + description: "Published Date - Aug 11, 2021" paths: /async/microservices/voice/vadasr/v0/getuploadurl: - description: |+ - Upload your file to start processing post: tags: - v0.1.0 @@ -42,7 +40,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: + example: message: Successfully Processed results: fields: @@ -90,6 +88,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' '413': description: Payload Too Large content: @@ -102,12 +106,6 @@ paths: application/json: schema: $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' '500': description: Internal Server Error content: @@ -150,9 +148,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/voice/vadasr/v0/getstatus: - description: |+ - Query for processing status + /async/microservices/nlp/textsummarisation/v0/getstatus: get: tags: - v0.1.0 @@ -172,9 +168,10 @@ paths: example: last_updated: 'Dec 17, 2021' message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-peoplecounting/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-vadasr/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.0298 status: Success + '401': description: Unauthorized content: @@ -199,6 +196,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' '413': description: Payload Too Large content: @@ -211,12 +214,6 @@ paths: application/json: schema: $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' '500': description: Internal Server Error content: @@ -238,19 +235,19 @@ components: properties: last_updated: type: string - example: Dec 17, 2021 + example: 2021-07-06 12:50:30 description: Last updated message: type: string - example: Successfully Processed + example: File Processing Successfully Started description: Detail description on the API status request_cost: type: string - example: 0.0298 + example: 0.086 description: Detail description on the API status status: type: string - example: Success + example: Processing description: Detail description on the API status success: type: object @@ -261,14 +258,12 @@ components: description: Detail description on the API status results: type: object - example: - + example: { "" } description: Json Object of returned results - properties: + properties: fields: type: object - example: - + example: { "" } description: Json Object of returned results properties: content-type: @@ -289,7 +284,7 @@ components: description: Google algorithm x-goog-date: type: string - example: 20211217T054423Z + example: 20211123T105846Z description: Google algorithm x-goog-meta-additional_param: type: string @@ -297,40 +292,36 @@ components: description: Google algorithm x-goog-meta-oid: type: string - example: 309 + example: 1 description: Google algorithm x-goog-meta-uid: type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: 0bb7339b0c4e476c9b6475e09034e233 + example: 2 description: Google algorithm x-goog-meta-uuid: type: string - example: 7c949f4a2cdd4cfc87de9a66cbe53eea + example: 1991d4936ddb4728afaa06cb260b0253 description: Google algorithm x-goog-signature: type: string - example: 9d5387492104addd79296abe2feb38bbe9947092de7f32c44e85... + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... description: Google algorithm jid: type: string - example: 7c949f4a2cdd4cfc87de9a66cbe53eea - description: Google algorithm + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm request_cost: type: string - example: 7.9361 - description: Google algorithm + example: 0 + description: Google algorithm url: type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call success/failure unauthorized: type: object properties: @@ -411,18 +402,18 @@ components: example: Input Limit Exceeded status: type: string - example: Failure + example: Failure versions: type: object - properties: + properties: v0.1.0: - type: array - items: - oneOf: + type: array + items: + oneOf: - type: string example: Published Date - Dec 23, 2021 - x-details: Initial version release - description: Latest Version + x-details: Initial version release + description: Archived input: type: object required: @@ -450,27 +441,6 @@ components: example: 'text/plain' description: |+ Content type - additional_param: - x-name: additional_param - type: object - properties: - model: - x-name: model - type: string - default: true - example: generic - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz - prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. - telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. - threshold: - x-name: threshold - type: number - default: true - example: 1.0 - description: |+ - 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. uploadinput: type: object required: @@ -531,7 +501,7 @@ components: type: string default: false example: 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 - description: Fields + description: Fields securitySchemes: APIAuthorizer: type: apiKey From 07c3c50504cd192c89ebe7a06ab92a206ae958df Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 16:28:38 +0530 Subject: [PATCH 3162/5916] Update people_counting_large_file.yaml --- .../people_counting_large_file.yaml | 57 +++++++++---------- 1 file changed, 28 insertions(+), 29 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 36c4cf04e..6f4f0e9c4 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -28,11 +28,9 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 23, 2021" + description: "Published Date - Aug 11, 2021" paths: /async/microservices/cv/peoplecounting/v0/getuploadurl: - description: |+ - Upload your file to start processing post: tags: - v0.1.0 @@ -43,7 +41,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: + example: message: Successfully Processed results: fields: @@ -91,6 +89,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' '413': description: Payload Too Large content: @@ -103,12 +107,6 @@ paths: application/json: schema: $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' '500': description: Internal Server Error content: @@ -150,7 +148,7 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + message: Successfully Processed /async/microservices/cv/peoplecounting/v0/getstatus: description: |+ Query for processing status @@ -176,6 +174,7 @@ paths: output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-peoplecounting/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.0298 status: Success + '401': description: Unauthorized content: @@ -200,6 +199,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' '413': description: Payload Too Large content: @@ -212,12 +217,6 @@ paths: application/json: schema: $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' '500': description: Internal Server Error content: @@ -239,19 +238,19 @@ components: properties: last_updated: type: string - example: Dec 17, 2021 + example: 2021-07-06 12:50:30 description: Last updated message: type: string - example: Successfully Processed + example: File Processing Successfully Started description: Detail description on the API status request_cost: type: string - example: 0.0298 + example: 0.086 description: Detail description on the API status status: type: string - example: Success + example: Processing description: Detail description on the API status success: type: object @@ -331,7 +330,7 @@ components: status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call success/failure unauthorized: type: object properties: @@ -412,18 +411,18 @@ components: example: Input Limit Exceeded status: type: string - example: Failure + example: Failure versions: type: object properties: v0.1.0: - type: array - items: - oneOf: + type: array + items: + oneOf: - type: string example: Published Date - Dec 23, 2021 - x-details: Initial version release - description: Latest Version + x-details: Initial version release + description: Archived input: type: object required: @@ -520,7 +519,7 @@ components: type: string default: false example: 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 - description: Fields + description: Fields securitySchemes: APIAuthorizer: type: apiKey From e730181fce4d1091ecca94a908c463534f98af7a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 16:44:38 +0530 Subject: [PATCH 3163/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 7193e369b..cd00b807b 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -433,6 +433,17 @@ components: example: 'text/plain' description: |+ Content type + additional_param: + x-name: additional_param + type: object + properties: + password: + x-name: password + type: string + default: false + example: ****** + description: |+ + If password required for PDF. uploadinput: type: object required: From 93c19bf628293e66fd8520fbc616f8ed3b2975cc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Dec 2021 17:03:45 +0530 Subject: [PATCH 3164/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index cd00b807b..21fb38a2f 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -441,7 +441,7 @@ components: x-name: password type: string default: false - example: ****** + example: 123 description: |+ If password required for PDF. uploadinput: From 818b4c8c063ab7cd7cf8888a8fcb6092786bc128 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 23 Dec 2021 22:49:23 +1100 Subject: [PATCH 3165/5916] Rename alibaba_chi_asr.yaml to alibaba_chinese_asr.yaml --- voice/{alibaba_chi_asr.yaml => alibaba_chinese_asr.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{alibaba_chi_asr.yaml => alibaba_chinese_asr.yaml} (100%) diff --git a/voice/alibaba_chi_asr.yaml b/voice/alibaba_chinese_asr.yaml similarity index 100% rename from voice/alibaba_chi_asr.yaml rename to voice/alibaba_chinese_asr.yaml From 7e46ad61cc0f12558a946ce4f02a64e676f5d0cc Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 23 Dec 2021 22:50:03 +1100 Subject: [PATCH 3166/5916] Rename alibaba_chi_asr_large_file.yaml to alibaba_chinese_asr_large_file.yaml --- ...hi_asr_large_file.yaml => alibaba_chinese_asr_large_file.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{alibaba_chi_asr_large_file.yaml => alibaba_chinese_asr_large_file.yaml} (100%) diff --git a/voice/alibaba_chi_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml similarity index 100% rename from voice/alibaba_chi_asr_large_file.yaml rename to voice/alibaba_chinese_asr_large_file.yaml From ed3645501a44faee36686e9d8e9b0f278cf92d36 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 23 Dec 2021 22:50:41 +1100 Subject: [PATCH 3167/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 18514ce99..0afc65f43 100644 --- a/index.yaml +++ b/index.yaml @@ -73,11 +73,11 @@ voice: alibaba_chi_asr: title: Alibaba Chinese ASR versions: - 0.1.0: 'alibaba_chi_asr.yaml' + 0.1.0: 'alibaba_chinese_asr.yaml' alibaba_chi_asr_large_file: title: Alibaba Chinese ASR Large File versions: - 0.1.0: 'alibaba_chi_asr_large_file.yaml' + 0.1.0: 'alibaba_chinese_asr_large_file.yaml' google_asr_large_file: title: Google ASR Large File versions: From fb60d54cb75b08e1e8b23b2ffe373c571369243c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 24 Dec 2021 09:43:49 +0530 Subject: [PATCH 3168/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index e939d1cf4..b1de10fce 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -29,7 +29,7 @@ tags: - name: "v0.1.0" description: "Published Date - Aug 11, 2021" paths: - /async/microservices/voice/alibabachiasr/v0/getuploadurl: + /async/microservices/voice/googleasr/v0/getuploadurl: post: tags: - v0.1.0 From 7bc5f9f8680320c867401a444a13d71ce0ef6c56 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 24 Dec 2021 15:49:48 +1100 Subject: [PATCH 3169/5916] Update text_to_speech_jp.yaml --- voice/text_to_speech_jp.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index b628eb838..0610e81d7 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -237,7 +237,7 @@ components: type: float format: float default: False - example: 1 + example: 0.5 description: |+ The pitch factor for the synthesized voice. It ranges between 0.5 and 1.5 and default is 1. 1 means default pitch, 0.5 means half pitch, 2 means twice the pitch @@ -246,7 +246,7 @@ components: type: float format: float default: False - example: 1 + example: 0.5 description: |+ The speed factor for the synthesized voice. It ranges between 0.5 and 2 and default is 1. 1 means default speed, 0.5 is half speed, 2 is twice the speed From 28ec9a8ea05a89a2c46321f4081d5306848657d7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 24 Dec 2021 12:15:08 +0530 Subject: [PATCH 3170/5916] Update people_counting_large_file.yaml --- .../people_counting_large_file.yaml | 38 ++++++++----------- 1 file changed, 16 insertions(+), 22 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 6f4f0e9c4..dbcfb6524 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -261,14 +261,12 @@ components: description: Detail description on the API status results: type: object - example: - + example: { "" } description: Json Object of returned results - properties: + properties: fields: type: object - example: - + example: { "" } description: Json Object of returned results properties: content-type: @@ -277,7 +275,7 @@ components: description: Content type of the document policy: type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... description: Content type of the document x-goog-algorithm: type: string @@ -289,7 +287,7 @@ components: description: Google algorithm x-goog-date: type: string - example: 20211217T054758Z + example: 20211123T105846Z description: Google algorithm x-goog-meta-additional_param: type: string @@ -297,40 +295,36 @@ components: description: Google algorithm x-goog-meta-oid: type: string - example: 309 + example: 1 description: Google algorithm x-goog-meta-uid: type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: 4f206b27f65d4ef2b78f894d967b2d39 + example: 2 description: Google algorithm x-goog-meta-uuid: type: string - example: e7fe34e9c21c4d75bc94051e476141c5 + example: 1991d4936ddb4728afaa06cb260b0253 description: Google algorithm x-goog-signature: type: string - example: 79a52d6b4417e3505fdee766d4ccf4976cbd1f4f95... + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... description: Google algorithm jid: type: string - example: e7fe34e9c21c4d75bc94051e476141c5 - description: Google algorithm + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm request_cost: type: string - example: 0.0298 - description: Google algorithm + example: 0 + description: Google algorithm url: type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call success/failure unauthorized: type: object properties: From 7700b21a1120896b5694a6d33dd4bc57d1ae5ada Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 24 Dec 2021 12:18:27 +0530 Subject: [PATCH 3171/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index dbcfb6524..c79435447 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -171,7 +171,7 @@ paths: example: last_updated: 'Dec 17, 2021' message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-peoplecounting/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + output_url: presigned URL request_cost: 0.0298 status: Success From 1f2c8c2ff36f075dcb8c0455c3296118cec1a90c Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Fri, 24 Dec 2021 12:29:52 +0530 Subject: [PATCH 3172/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index c79435447..537333680 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -53,7 +53,6 @@ paths: x-goog-algorithm: GOOG4-RSA-SHA256 x-goog-credential: >- sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211217/auto/storage/goog4_request - x-goog-date: 20211217T054758Z x-goog-meta-additional_param: None x-goog-meta-oid: '309' x-goog-meta-uid: '495' @@ -287,7 +286,6 @@ components: description: Google algorithm x-goog-date: type: string - example: 20211123T105846Z description: Google algorithm x-goog-meta-additional_param: type: string @@ -478,7 +476,6 @@ components: x-goog-date: type: string default: false - example: 20211217T054758Z description: Fields x-goog-credential: type: string From b4f7afb1c95253460a3e1fc42938ee54803c39b8 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Fri, 24 Dec 2021 12:32:15 +0530 Subject: [PATCH 3173/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 537333680..ccdeb3e35 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -51,8 +51,6 @@ paths: policy: >- 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 x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211217/auto/storage/goog4_request x-goog-meta-additional_param: None x-goog-meta-oid: '309' x-goog-meta-uid: '495' @@ -480,7 +478,6 @@ components: x-goog-credential: type: string default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request description: Fields x-goog-meta-additional_param: type: string From 00fce14783d5199a6f8978201dfdf7b6bff8adca Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 24 Dec 2021 12:35:34 +0530 Subject: [PATCH 3174/5916] Update people_counting_large_file.yaml --- .../people_counting_large_file.yaml | 75 ++++++++++--------- 1 file changed, 39 insertions(+), 36 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index ccdeb3e35..b2e6bb7e0 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -23,7 +23,7 @@ info: x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ - Size of image file should not exceed 10 MB. + Size of image file should not exceed 10 MB servers: - url: 'https://dev-apis.sentient.io' tags: @@ -45,22 +45,23 @@ paths: message: Successfully Processed results: fields: - content-type: video/mp4 - key: >- - 309/495/lp-peoplecounting/input/415KB_e7fe34e9c21c4d75bc94051e476141c5.mp4 + content-type: text/plain + key: 1/2/lp-peoplecounting/input/test_1991d4936ddb4728afaa06cb260b0253.txt policy: >- - 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 + 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 x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request + x-goog-date: 20211123T105846Z x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: '4f206b27f65d4ef2b78f894d967b2d39' - x-goog-meta-uuid: e7fe34e9c21c4d75bc94051e476141c5 + x-goog-meta-oid: '1' + x-goog-meta-uid: '2' + x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 x-goog-signature: >- - 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 - jid: e7fe34e9c21c4d75bc94051e476141c5 - request_cost: 0.0298 - url: 'https://storage.googleapis.com/user_space_dev' + 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 + jid: 1991d4936ddb4728afaa06cb260b0253 + request_cost: 0 + url: 'https://storage.googleapis.com/user_space_dev/' status: Success '401': description: Unauthorized @@ -146,9 +147,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/cv/peoplecounting/v0/getstatus: - description: |+ - Query for processing status + /async/microservices/nlp/peoplecounting/v0/getstatus: get: tags: - v0.1.0 @@ -157,7 +156,7 @@ paths: name: jid schema: type: string - example: e7fe34e9c21c4d75bc94051e476141c5 + example: 36d075917dcd481e9daf858a2549f3b1 responses: '200': description: Ok @@ -165,12 +164,11 @@ paths: application/json: schema: $ref: '#/components/schemas/getsuccess' - example: - last_updated: 'Dec 17, 2021' - message: Successfully Processed - output_url: presigned URL - request_cost: 0.0298 - status: Success + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing '401': description: Unauthorized @@ -284,6 +282,7 @@ components: description: Google algorithm x-goog-date: type: string + example: 20211123T105846Z description: Google algorithm x-goog-meta-additional_param: type: string @@ -320,7 +319,7 @@ components: status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call success/failure unauthorized: type: object properties: @@ -440,6 +439,17 @@ components: example: 'text/plain' description: |+ Content type + additional_param: + x-name: additional_param + type: object + properties: + password: + x-name: password + type: string + default: false + example: 123 + description: |+ + If password required for PDF. uploadinput: type: object required: @@ -459,29 +469,27 @@ components: key: type: string default: false - example: 309/495/lp-peoplecounting/input/415KB_e7fe34e9c21c4d75bc94051e476141c5.mp4 + example: 1/2/lp-textsummarisation/input/Pdf_6mb_cf3d329bd9df4cef91966c336386eea3.pdf description: Fields policy: type: string default: false - example: 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 + example: 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 description: Fields x-goog-algorithm: type: string default: false example: GOOG4-RSA-SHA256 description: Fields - x-goog-date: - type: string - default: false - description: Fields x-goog-credential: type: string default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request description: Fields x-goog-meta-additional_param: type: string - default: false + default: false + example: {\"password\": \"fffff\"} description: Fields x-goog-meta-oid: type: string @@ -498,11 +506,6 @@ components: default: false example: cf3d329bd9df4cef91966c336386eea3 description: Fields - x-goog-meta-uploader: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields x-goog-signature: type: string default: false From d003dcccae558fe310a2f5c04370f430b8a415cd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 24 Dec 2021 12:40:38 +0530 Subject: [PATCH 3175/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index b2e6bb7e0..b9419b0a5 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -233,7 +233,7 @@ components: properties: last_updated: type: string - example: 2021-07-06 12:50:30 + example: '2021-07-06 12:50:30' description: Last updated message: type: string From da15523f94ac60898d94e271004b3a7de5e53e5f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 24 Dec 2021 12:46:15 +0530 Subject: [PATCH 3176/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 13 +------------ 1 file changed, 1 insertion(+), 12 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index b9419b0a5..e76a79556 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -233,7 +233,7 @@ components: properties: last_updated: type: string - example: '2021-07-06 12:50:30' + example: 2021-07-06 12:50:30 description: Last updated message: type: string @@ -439,17 +439,6 @@ components: example: 'text/plain' description: |+ Content type - additional_param: - x-name: additional_param - type: object - properties: - password: - x-name: password - type: string - default: false - example: 123 - description: |+ - If password required for PDF. uploadinput: type: object required: From 2d98ea286d9a7a1dd52c7dd65416badd762365dd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 27 Dec 2021 16:31:08 +0530 Subject: [PATCH 3177/5916] Add files via upload --- .../demographics_classification.yaml | 612 +-- computer_vision/face_recognition.yaml | 744 ++-- computer_vision/face_recognition_v0.1.yaml | 601 +-- computer_vision/invoice_scanner.yaml | 718 ++-- computer_vision/landmark_recognition_jp.yaml | 557 +-- .../landmark_recognition_jp_v0.1.yaml | 524 +-- computer_vision/landmark_recognition_sg.yaml | 564 +-- .../landmark_recognition_sg_v0.1.yaml | 532 +-- computer_vision/masked_face_recognition.yaml | 602 +-- computer_vision/object_detection.yaml | 600 +-- computer_vision/object_detection_v0.1.yaml | 562 +-- computer_vision/people_counting.yaml | 558 +-- .../people_counting_large_file.yaml | 1020 ++--- computer_vision/people_counting_v0.1.yaml | 551 +-- computer_vision/person_reidentification.yaml | 580 +-- computer_vision/receipt_scanner.yaml | 3338 +++++++++-------- 16 files changed, 6346 insertions(+), 6317 deletions(-) diff --git a/computer_vision/demographics_classification.yaml b/computer_vision/demographics_classification.yaml index 0774d4d63..2e517dde4 100644 --- a/computer_vision/demographics_classification.yaml +++ b/computer_vision/demographics_classification.yaml @@ -1,305 +1,307 @@ -openapi: 3.0.1 -info: - title: Demographics Classification - description: |+ - This Computer Vision microservice identifies faces within an input image and predicts the demographics of each face (age, gender and race). The image is processed as an input encoded using base64. The results will then be returned back to the user as a JSON output together with bounding box coordinates for each face. Races include: Asian, Indian, White, Black, Middle Eastern and Latino Hispanic - The size of your image file should **not exceed 10 MB**, and the image dimension should be **at least 416x416 pixels**. - x-additionalinfo: |+ - Suggested Use Cases: - - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to improve visitor experience and optimize operations in retail, leisure, and other sectors by identifying the type of demogrpahic that frequents a certain place the most. It can also be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. - version: v0.1.0 - x-subscribelink: demographics_classification - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 09, 2020" -paths: - /microservices/cv/democlass/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - persons: - - age: 33.21062944528088 - bbox: - bottom: 459 - left: 82 - right: 393 - top: 0 - gender: Man - race: white - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - - -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - persons: - description: Demographic details of the detected person - example: - age: 33.21062944528088 - bbox: - bottom: 459 - left: 82 - right: 393 - top: 0 - gender: Man - race: white - items: - properties: - description: Demographic details of the detected person - example: ' ' - properties: - age: - description: Age of the detected person in the input image - example: 33.21062944528088 - type: float - bbox: - description: Bounding box of the detected person in the input image - example: ' ' - properties: - bottom: - description: Bottom coordinate of the box - example: 459 - type: integer - left: - description: Left coordinate of the box - example: 82 - type: integer - right: - description: Right coordinate of the box - example: 393 - type: integer - top: - description: Top coordinate of the box - example: 0 - type: integer - type: object - gender: - description: Gender of the detected person in the input image - example: Man - type: string - race: - description: Race of the detected person in the input image - example: white - type: string - type: object - type: object - type: array - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - image_base64 - - properties: - image_base64: - x-name: image_base64 - type: string - default: True - example: /9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUG... - description: |+ - Input image file in base64 format. - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Demographics Classification + description: |+ + This Computer Vision microservice identifies faces within an input image and predicts the demographics of each face (age, gender and race). The image is processed as an input encoded using base64. The results will then be returned back to the user as a JSON output together with bounding box coordinates for each face. Races include: Asian, Indian, White, Black, Middle Eastern and Latino Hispanic + The size of your image file should **not exceed 10 MB**, and the image dimension should be **at least 416x416 pixels**. + x-additionalinfo: |+ + Suggested Use Cases: + - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to improve visitor experience and optimize operations in retail, leisure, and other sectors by identifying the type of demogrpahic that frequents a certain place the most. It can also be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. + version: v0.1.0 + x-subscribelink: demographics_classification + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Identifies faces within an input image and predicts the demographics. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 09, 2020" +paths: + /microservices/cv/democlass/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + persons: + - age: 33.21062944528088 + bbox: + bottom: 459 + left: 82 + right: 393 + top: 0 + gender: Man + race: white + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + + +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + persons: + description: Demographic details of the detected person + example: + age: 33.21062944528088 + bbox: + bottom: 459 + left: 82 + right: 393 + top: 0 + gender: Man + race: white + items: + properties: + description: Demographic details of the detected person + example: ' ' + properties: + age: + description: Age of the detected person in the input image + example: 33.21062944528088 + type: float + bbox: + description: Bounding box of the detected person in the input image + example: ' ' + properties: + bottom: + description: Bottom coordinate of the box + example: 459 + type: integer + left: + description: Left coordinate of the box + example: 82 + type: integer + right: + description: Right coordinate of the box + example: 393 + type: integer + top: + description: Top coordinate of the box + example: 0 + type: integer + type: object + gender: + description: Gender of the detected person in the input image + example: Man + type: string + race: + description: Race of the detected person in the input image + example: white + type: string + type: object + type: object + type: array + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - image_base64 + + properties: + image_base64: + x-name: image_base64 + type: string + default: True + example: /9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUG... + description: |+ + Input image file in base64 format. + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index 2c5e728bd..12a501f19 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -1,371 +1,373 @@ -openapi: 3.0.1 -info: - title: Face Recognition - description: |+ - This Computer Vision microservice recognises faces of Singaporean and Japanese public figures (e.g. athletes, business leaders, celebrities, politicians, TV personalities, etc). - - This microservice returns the identity of the person, the bounding box in image coordinates, and the confidence of the prediction. Users can further filter the results by countries, profession or even down to the individual names. - - Help us grow this microservice! [Let us know](https://www.sentient.io/contact) which other public figures you would like this microservice to recognise (e.g. a new country or a new category). We will expand the capability of this microservices based on user feedback and demand. - The size of your image file should **not exceed 10 MB** - version: '1.0.1' - x-additionalinfo: |+ - **Full List of Filters** - Users may choose to filter the output using any of these filters below. - - 1. Countries: - - Japan - - Singapore - - 2. Categories: - - Olympic_medalist - - Paralympic_competitors - - Paralympic_medalist - - athletes - - bloggers - - broadcast_news_analysts - - business_executives - - business_leaders - - celebrities - - chairmen_of_corporations - - chief_executives - - columnists - - female_pop_singers - - female_singers - - film_actors - - film_actresses - - film_directors - - film_people - - film_producers - - journalists - - male_pop_singers - - male_singers - - participants_in_reality_television_series - - people_of_interest - - photojournalists - - politicians - - pop_singers - - radio_people - - screenwriters - - singer-songwriters - - social_media_personalities - - sportsman - - television_actors - - television_actresses - - television_personalities - - television_presenters - - 3. Individual Names - If you happen to know the individual names of the faces you hope to recognise, you may also put in the individual names as a filter. - - **Suggested Use Cases** - - For solutions related to identifying the speaker for auto-tagging, or matching the transcription to a person that is a Singaporean politician, or a Singaporean/Japanese public figure. - - - x-subscribelink: face_recognition - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.1" - description: "Published Date - Jan 11, 2021" -paths: - /microservices/cv/facerecognition/v1/getpredictions: - post: - tags: - - v1.0.1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - output: {conf: 0.6588699206768599,identity: "Lee Hsien Loong",location: [67,339,196,210]} - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - output: - type: array - example: {conf: 0.6588699206768599,identity: "Lee Hsien Loong",location: [67,339,196,210]} - description: Details of the face recognised from the image - items: - oneOf: - - type: object - properties: - conf: - type: float - example: 0.6588699206768599 - description: 0.0 to 1.0. Confidence score of identification. Higher is more confidence. - identity: - type: string - example: Lee Hsien Loong - description: Person's formal name. If identity is not known, "UNKNOWN" is returned - location: - type: array - example: [67,339,196,210] - description: bounding box of the face in pixel coordinates of top, right, bottom, left. - items: - oneOf: - - type: integer - example: 67 - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 11, 2021 - x-details: Bug fix - Threshold value - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON and model update - description: Depreciating on Jan 10, 2021 - - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 03, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - model - - image_base64 - properties: - image_base64: - x-name: image_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input image file in base64 format. - file_type: - x-name: file_type - type: string - default: false - example: jpg - description: |+ - Type of image file. If not specified, the type of file is detected and processed. - - Refer to Python Imaging Library (PIL) for supported formats: bmp, gif, jpg/jpeg, png. - threshold: - x-name: threshold - type: float - default: false - example: 0.5 - description: |+ - 0.0 to 1.0. Default is 0.4. Higher threshold will return results with higher confidence. - filter: - x-name: filter - type: array - default: false - example: ["japan", "television_actors"] - description: |+ - Optional filters that allows the user to refine the output. There are 3 types of filters: - - 1. Countries - e.g. "Singapore", "Japan" - 2. Professions - e.g. "atheletes", "pop_singers" - 3. Individual person names - e.g. "Lee Hsien Loong". Useful if the user only wants to detect for specific people. - - See "Additional Information" section for full list of available filters - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Face Recognition + description: |+ + This Computer Vision microservice recognises faces of Singaporean and Japanese public figures (e.g. athletes, business leaders, celebrities, politicians, TV personalities, etc). + + This microservice returns the identity of the person, the bounding box in image coordinates, and the confidence of the prediction. Users can further filter the results by countries, profession or even down to the individual names. + + Help us grow this microservice! [Let us know](https://www.sentient.io/contact) which other public figures you would like this microservice to recognise (e.g. a new country or a new category). We will expand the capability of this microservices based on user feedback and demand. + The size of your image file should **not exceed 10 MB** + version: '1.0.1' + x-additionalinfo: |+ + **Full List of Filters** + Users may choose to filter the output using any of these filters below. + + 1. Countries: + - Japan + - Singapore + + 2. Categories: + - Olympic_medalist + - Paralympic_competitors + - Paralympic_medalist + - athletes + - bloggers + - broadcast_news_analysts + - business_executives + - business_leaders + - celebrities + - chairmen_of_corporations + - chief_executives + - columnists + - female_pop_singers + - female_singers + - film_actors + - film_actresses + - film_directors + - film_people + - film_producers + - journalists + - male_pop_singers + - male_singers + - participants_in_reality_television_series + - people_of_interest + - photojournalists + - politicians + - pop_singers + - radio_people + - screenwriters + - singer-songwriters + - social_media_personalities + - sportsman + - television_actors + - television_actresses + - television_personalities + - television_presenters + + 3. Individual Names + If you happen to know the individual names of the faces you hope to recognise, you may also put in the individual names as a filter. + + **Suggested Use Cases** + - For solutions related to identifying the speaker for auto-tagging, or matching the transcription to a person that is a Singaporean politician, or a Singaporean/Japanese public figure. + + + x-subscribelink: face_recognition + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Recognises faces of Singaporean and Japanese public figures. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.1" + description: "Published Date - Jan 11, 2021" +paths: + /microservices/cv/facerecognition/v1/getpredictions: + post: + tags: + - v1.0.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: {conf: 0.6588699206768599,identity: "Lee Hsien Loong",location: [67,339,196,210]} + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: {conf: 0.6588699206768599,identity: "Lee Hsien Loong",location: [67,339,196,210]} + description: Details of the face recognised from the image + items: + oneOf: + - type: object + properties: + conf: + type: float + example: 0.6588699206768599 + description: 0.0 to 1.0. Confidence score of identification. Higher is more confidence. + identity: + type: string + example: Lee Hsien Loong + description: Person's formal name. If identity is not known, "UNKNOWN" is returned + location: + type: array + example: [67,339,196,210] + description: bounding box of the face in pixel coordinates of top, right, bottom, left. + items: + oneOf: + - type: integer + example: 67 + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 11, 2021 + x-details: Bug fix - Threshold value + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON and model update + description: Depreciating on Jan 10, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - model + - image_base64 + properties: + image_base64: + x-name: image_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input image file in base64 format. + file_type: + x-name: file_type + type: string + default: false + example: jpg + description: |+ + Type of image file. If not specified, the type of file is detected and processed. + + Refer to Python Imaging Library (PIL) for supported formats: bmp, gif, jpg/jpeg, png. + threshold: + x-name: threshold + type: float + default: false + example: 0.5 + description: |+ + 0.0 to 1.0. Default is 0.4. Higher threshold will return results with higher confidence. + filter: + x-name: filter + type: array + default: false + example: ["japan", "television_actors"] + description: |+ + Optional filters that allows the user to refine the output. There are 3 types of filters: + + 1. Countries - e.g. "Singapore", "Japan" + 2. Professions - e.g. "atheletes", "pop_singers" + 3. Individual person names - e.g. "Lee Hsien Loong". Useful if the user only wants to detect for specific people. + + See "Additional Information" section for full list of available filters + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/face_recognition_v0.1.yaml b/computer_vision/face_recognition_v0.1.yaml index c8267eb03..364009621 100644 --- a/computer_vision/face_recognition_v0.1.yaml +++ b/computer_vision/face_recognition_v0.1.yaml @@ -1,300 +1,301 @@ -openapi: 3.0.1 -info: - title: Face Recognition - description: |+ - This Computer Vision microservice recognises faces of Singaporean and Japanese public figures (e.g. athletes, business leaders, celebrities, politicians, TV personalities, etc). - - This microservice returns the identity of the person, the bounding box in image coordinates, and the confidence of the prediction. Users can further filter - - Help us grow this microservice! [Let us know](https://www.sentient.io/contact) which other public figures you would like us this microservice to also recognise (e.g. a new country or a new category). We will expand the capability of this microservices based on user feedback and demand. - The size of your image file should **not exceed 10 MB** - x-additionalinfo: |+ - Suggested Use Cases: - - For solutions related to identifying the speaker for auto-tagging, or matching the transcription to a person that is a Singaporean politician, or a Singaporean/Japanese public figure. - version: '0.1.0' - x-subscribelink: face_recognition - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 10 MB. - -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 03, 2020" -paths: - /microservices/cv/facerecognition/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: {conf: 0.6588699206768599,identity: "Lee Hsien Loong",location: [67,339,196,210]} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: array - example: {conf: 0.6588699206768599,identity: "Lee Hsien Loong",location: [67,339,196,210]} - description: Details of the face recognised from the image - items: - oneOf: - - type: object - properties: - conf: - type: float - example: 0.6588699206768599 - description: 0.0 to 1.0. Confidence score of identification. Higher is more confidence. - identity: - type: string - example: Lee Hsien Loong - description: Person's formal name. If identity is not known, "UNKNOWN" is returned - location: - type: array - example: [67,339,196,210] - description: bounding box of the face in pixel coordinates of top, right, bottom, left. - items: - oneOf: - - type: integer - example: 67 - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 11, 2021 - x-details: Bug fix - Threshold value - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON and model update - description: Depreciating on Jan 10, 2021 - - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 03, 2020 - x-details: Initial version release - description: Archived - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - model - - img_base64 - properties: - model: - x-name: model - type: string - default: true - example: sg-parliament-2019 - description: |+ - Model name. “sg-parliament-2019” is trained on Singapore Members of Parliament - 2019. - img_base64: - x-name: img_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input image file in base64 format - file_type: - x-name: file_type - type: string - default: false - example: jpg - description: |+ - Type of image file. If not specified, the type of file is detected and processed. - - Refer to Python Imaging Library (PIL) for supported formats: bmp, gif, jpg/jpeg, png. - threshold: - x-name: threshold - type: float - default: false - example: 0.5 - description: |+ - 0.0 to 1.0. Default is 0.4. Higher threshold will return results with higher confidence. - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Face Recognition + description: |+ + This Computer Vision microservice recognises faces of Singaporean and Japanese public figures (e.g. athletes, business leaders, celebrities, politicians, TV personalities, etc). + + This microservice returns the identity of the person, the bounding box in image coordinates, and the confidence of the prediction. Users can further filter + + Help us grow this microservice! [Let us know](https://www.sentient.io/contact) which other public figures you would like us this microservice to also recognise (e.g. a new country or a new category). We will expand the capability of this microservices based on user feedback and demand. + The size of your image file should **not exceed 10 MB** + x-additionalinfo: |+ + Suggested Use Cases: + - For solutions related to identifying the speaker for auto-tagging, or matching the transcription to a person that is a Singaporean politician, or a Singaporean/Japanese public figure. + version: '0.1.0' + x-subscribelink: face_recognition + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Recognises faces of Singaporean and Japanese public figures. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 03, 2020" +paths: + /microservices/cv/facerecognition/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: {conf: 0.6588699206768599,identity: "Lee Hsien Loong",location: [67,339,196,210]} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: array + example: {conf: 0.6588699206768599,identity: "Lee Hsien Loong",location: [67,339,196,210]} + description: Details of the face recognised from the image + items: + oneOf: + - type: object + properties: + conf: + type: float + example: 0.6588699206768599 + description: 0.0 to 1.0. Confidence score of identification. Higher is more confidence. + identity: + type: string + example: Lee Hsien Loong + description: Person's formal name. If identity is not known, "UNKNOWN" is returned + location: + type: array + example: [67,339,196,210] + description: bounding box of the face in pixel coordinates of top, right, bottom, left. + items: + oneOf: + - type: integer + example: 67 + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 11, 2021 + x-details: Bug fix - Threshold value + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON and model update + description: Depreciating on Jan 10, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - model + - img_base64 + properties: + model: + x-name: model + type: string + default: true + example: sg-parliament-2019 + description: |+ + Model name. “sg-parliament-2019” is trained on Singapore Members of Parliament - 2019. + img_base64: + x-name: img_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input image file in base64 format + file_type: + x-name: file_type + type: string + default: false + example: jpg + description: |+ + Type of image file. If not specified, the type of file is detected and processed. + + Refer to Python Imaging Library (PIL) for supported formats: bmp, gif, jpg/jpeg, png. + threshold: + x-name: threshold + type: float + default: false + example: 0.5 + description: |+ + 0.0 to 1.0. Default is 0.4. Higher threshold will return results with higher confidence. + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index 07fe96a47..6c76343ef 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -1,358 +1,360 @@ -openapi: 3.0.1 -info: - title: Invoice Scanner - description: |+ - This Computer Vision microservice takes in invoices and extracts meaningful and structured data, including the total amount, tax amount, date and merchant name. - - The API will return a JSON containing all data that could be extracted, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. - version: '0.1.0' - x-subscribelink: invoice_scanner - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10MB of payload. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 11, 2021" -paths: - /microservices/cv/scaninvoice/v0/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"docId":7905,"status":"COMPLETED"}},"status":"Success"}} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: The result of the API call - properties: - scandocuments: - type: object - example: { "" } - description: The details of documents - properties: - docId: - type: number - example: 102581 - description: Document ID - status: - type: string - example: COMPLETED - description: Status of staple API - data: - type: object - example: { "" } - description: The details scan document data - properties: - docsize: - type: array - example: [[1990,1490]] - description: An array contain the size info of tempalte - items: - oneOf: - - type: number - example: 1990 - - type: number - example: 1490 - num_pages: - type: number - example: 1 - description: Total pages - customer: - type: string - example: XYZ Buyer - description: Customer name - supplier: - type: string - example: ABC Supplier - description: Supplier name - type: - type: string - example: invoice - description: Type of document - invoicenumber: - type: string - example: INV-4412 - description: Invoice number - tabledetected: - type: boolean - example: True - description: True if table detected - total: - type: object - example: { "" } - description: Invoice Total amount - subtotal: - type: object - example: { "" } - description: Sub-Total - taxtotal: - type: object - example: { "" } - description: Tax Total - servicecharge: - type: object - example: { "" } - description: ServiceCharge - currency: - type: object - example: { "" } - description: Currency - billingdddress: - type: object - example: { "" } - description: Billing to Address - email: - type: object - example: { "" } - description: Email - url: - type: object - example: { "" } - description: URL - ponumber: - type: object - example: { "" } - description: PONumber - accountnumber: - type: object - example: { "" } - description: AccountNumber - accountname: - type: object - example: { "" } - description: AccountName - swiftcode: - type: object - example: { "" } - description: SwiftCode - iban: - type: object - example: { "" } - description: IBAN - freight: - type: object - example: { "" } - description: Freight - shippingaddress: - type: object - example: { "" } - description: ShippingAddress - companyname: - type: object - example: { "" } - description: CompanyName - senderaddress: - type: object - example: { "" } - description: SenderAddress - otheraddress: - type: object - example: { "" } - description: OtherAddress - invoicedate: - type: object - example: { "" } - description: InvoiceDate - paymentdate: - type: object - example: { "" } - description: PaymentDate - otherdate: - type: object - example: { "" } - description: OtherDate - lineitems_standardheader: - type: object - example: { "" } - description: LineItems_standardHeader - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 11, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - file - - endpointUrl - properties: - file: - type: string - format: binary - default: true - example: upload file - description: The receipt document - handwritten: - type: string - example: 'false' - description: Specify handwritten true or false. Default is false - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Invoice Scanner + description: |+ + This Computer Vision microservice takes in invoices and extracts meaningful and structured data, including the total amount, tax amount, date and merchant name. + + The API will return a JSON containing all data that could be extracted, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. + version: '0.1.0' + x-subscribelink: invoice_scanner + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Extracts to meaningful and structured data from Invoice docs. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 11, 2021" +paths: + /microservices/cv/scaninvoice/v0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message": "Successfully Processed","results":{"scanDocuments":{"data":{"BigBoxes":[{"box":[102,131,227,166,164.5,148.5],"page":0}],"Currency":{"UICategory":"VAT&Amounts","UIName":"Currency","UIType":"Text","matches":[{"keyword":[1160,1594,1171,1616,1165.5,1605,"$","$"],"match":"$","matchmulti":"$","page":0,"value":[1160,1594,1171,1616,1165.5,1605,"$","$"]}]},"Customer":null,"DetectedText":"GSSAINVOICEThankyouc/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357faxnoneDATE:INVOICE#FOR:May22009100AnnualDuesBillTo:GSSAMember2009PhoneDESCRIPTIONAMOUNTAnnualDuesperteam2009summerswimseason$100.00TOTAL$100.00MakeallcheckspayabletoGSSAIfyouhaveanyquestionsconcerningthisinvoicecontactNaGregDerderianTreasurerTHANKYOUFORYOURMEMBERSHIP!","DocSize":[[2000,1545]],"Email":{"UICategory":"Vendor&Customer","UIName":"Email","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"GSTNumber":{"UICategory":"Vendor&Customer","UIName":"GSTNumber","UIType":"Text","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"LineItems":[[{"Amount":[22009],"Description":["32TinkerRoad","DATE:"]}]],"LineItems_standardHeader":[[{"Description":"32TinkerRoadDATE:","LineAmount":22009,"Quantity":1,"UnitAmount":22009}]],"OtherDate":{"UICategory":"BasicInformation","UIName":"OtherDate","UIType":"Date","matches":[{"keyword":null,"match":"2009-05-02","matchmulti":"May22009","page":0,"value":[1232,260]}]},"SenderAddress":{"UICategory":"Vendor&Customer","UIName":"VendorAddress","UIType":"Text","matches":[{"keyword":[102,131,227,166,164.5,148.5,"GSSA\n","GSSA\n"],"match":"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","matchmulti":"c/oGregDerderianTreasurer32TinkerRoadNashuaNH03064Phone603-595-4357Faxnone","page":0,"value":[97,231,457,349,277,290,"c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nfaxnone\n","c/oGregDerderianTreasurer\n32TinkerRoad\nNashua\nNH03064\nPhone603-595-4357\nFaxnone\n"]}]},"ServiceCharge":{"UICategory":"VAT&Amounts","UIName":"ServiceCharge","UIType":"Amount","matches":[{"keyword":null,"match":null,"matchmulti":null,"page":null,"value":null}]},"docId":7905,"status":"COMPLETED"}},"status":"Success"}} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: The result of the API call + properties: + scandocuments: + type: object + example: { "" } + description: The details of documents + properties: + docId: + type: number + example: 102581 + description: Document ID + status: + type: string + example: COMPLETED + description: Status of staple API + data: + type: object + example: { "" } + description: The details scan document data + properties: + docsize: + type: array + example: [[1990,1490]] + description: An array contain the size info of tempalte + items: + oneOf: + - type: number + example: 1990 + - type: number + example: 1490 + num_pages: + type: number + example: 1 + description: Total pages + customer: + type: string + example: XYZ Buyer + description: Customer name + supplier: + type: string + example: ABC Supplier + description: Supplier name + type: + type: string + example: invoice + description: Type of document + invoicenumber: + type: string + example: INV-4412 + description: Invoice number + tabledetected: + type: boolean + example: True + description: True if table detected + total: + type: object + example: { "" } + description: Invoice Total amount + subtotal: + type: object + example: { "" } + description: Sub-Total + taxtotal: + type: object + example: { "" } + description: Tax Total + servicecharge: + type: object + example: { "" } + description: ServiceCharge + currency: + type: object + example: { "" } + description: Currency + billingdddress: + type: object + example: { "" } + description: Billing to Address + email: + type: object + example: { "" } + description: Email + url: + type: object + example: { "" } + description: URL + ponumber: + type: object + example: { "" } + description: PONumber + accountnumber: + type: object + example: { "" } + description: AccountNumber + accountname: + type: object + example: { "" } + description: AccountName + swiftcode: + type: object + example: { "" } + description: SwiftCode + iban: + type: object + example: { "" } + description: IBAN + freight: + type: object + example: { "" } + description: Freight + shippingaddress: + type: object + example: { "" } + description: ShippingAddress + companyname: + type: object + example: { "" } + description: CompanyName + senderaddress: + type: object + example: { "" } + description: SenderAddress + otheraddress: + type: object + example: { "" } + description: OtherAddress + invoicedate: + type: object + example: { "" } + description: InvoiceDate + paymentdate: + type: object + example: { "" } + description: PaymentDate + otherdate: + type: object + example: { "" } + description: OtherDate + lineitems_standardheader: + type: object + example: { "" } + description: LineItems_standardHeader + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 11, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file + - endpointUrl + properties: + file: + type: string + format: binary + default: true + example: upload file + description: The receipt document + handwritten: + type: string + example: 'false' + description: Specify handwritten true or false. Default is false + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/landmark_recognition_jp.yaml b/computer_vision/landmark_recognition_jp.yaml index 28c6b42dd..6230f9590 100644 --- a/computer_vision/landmark_recognition_jp.yaml +++ b/computer_vision/landmark_recognition_jp.yaml @@ -1,278 +1,279 @@ -openapi: 3.0.1 -info: - title: Landmark Detection (JP) - description: |+ - This Computer Vision microservice identifies Japan landmarks from multiple input images. - - The microservice returns the detected landmark and confidence score. - - The size of your image file should **not exceed 5 MB**. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used for geo-targeting apps with map feature or property development planning resource apps. - version: '1.0.0' - x-subscribelink: landmark_detection_jp - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 5 MB. - -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Mar 05, 2021" -paths: - /microservices/cv/landmarkjp/v1/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - confidence: 100% - landmark: Gion - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - - -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - confidence: - x-name: confidence - type: string - example: 100% - description: Confidence score of identification. Higher is more confidence. - landmark: - x-name: landmark - type: string - example: Gion - description: Name of the landmark - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 05, 2021 - x-details: |+ - 1. Standardizing Output JSON - 2. Overall model accuracy improvements - 3. Better accuracy in detecting non-landmarks - 4. Fix bug in the confidence score computation - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2020 - x-details: Initial version release - description: Archived - input: - type: object - properties: - image_base64: - x-name: image_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input image file in base64 format. - - Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Landmark Detection (JP) + description: |+ + This Computer Vision microservice identifies Japan landmarks from multiple input images. + + The microservice returns the detected landmark and confidence score. + + The size of your image file should **not exceed 5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used for geo-targeting apps with map feature or property development planning resource apps. + version: '1.0.0' + x-subscribelink: landmark_detection_jp + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + x-apidetailsdesc: |+ + Identifies Japan landmarks from multiple input images. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Mar 05, 2021" +paths: + /microservices/cv/landmarkjp/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + confidence: 100% + landmark: Gion + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + + +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + confidence: + x-name: confidence + type: string + example: 100% + description: Confidence score of identification. Higher is more confidence. + landmark: + x-name: landmark + type: string + example: Gion + description: Name of the landmark + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 05, 2021 + x-details: |+ + 1. Standardizing Output JSON + 2. Overall model accuracy improvements + 3. Better accuracy in detecting non-landmarks + 4. Fix bug in the confidence score computation + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + image_base64: + x-name: image_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input image file in base64 format. + + Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/landmark_recognition_jp_v0.1.yaml b/computer_vision/landmark_recognition_jp_v0.1.yaml index 98fbc6572..8c3137efd 100644 --- a/computer_vision/landmark_recognition_jp_v0.1.yaml +++ b/computer_vision/landmark_recognition_jp_v0.1.yaml @@ -1,261 +1,263 @@ -openapi: 3.0.1 -info: - title: Landmark Detection (JP) - description: |+ - This Computer Vision microservice identifies Japan landmarks from multiple input images. - - The microservice returns the detected landmark and confidence score. - - The size of your image file should **not exceed 5 MB**. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used for geo-targeting apps with map feature or property development planning resource apps. - version: '0.1.0' - x-subscribelink: landmark_detection_jp - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 5 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 30, 2020" -paths: - /microservices/cv/landmarkjp/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - confidence: 100% - landmark: Gion - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - - -components: - schemas: - success: - type: object - properties: - confidence: - x-name: confidence - type: string - example: 100% - description: Confidence score of identification. Higher is more confidence. - landmark: - x-name: landmark - type: string - example: Gion - description: Name of the landmark - - - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 05, 2021 - x-details: |+ - 1. Standardizing Output JSON - 2. Overall model accuracy improvements - 3. Better accuracy in detecting non-landmarks - 4. Fix bug in the confidence score computation - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2020 - x-details: Initial version release - description: Archived - input: - type: object - properties: - image_base64: - x-name: image_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input image in base64 format. - - Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Landmark Detection (JP) + description: |+ + This Computer Vision microservice identifies Japan landmarks from multiple input images. + + The microservice returns the detected landmark and confidence score. + + The size of your image file should **not exceed 5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used for geo-targeting apps with map feature or property development planning resource apps. + version: '0.1.0' + x-subscribelink: landmark_detection_jp + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + x-apidetailsdesc: |+ + Identifies Japan landmarks from multiple input images. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 30, 2020" +paths: + /microservices/cv/landmarkjp/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + confidence: 100% + landmark: Gion + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + + +components: + schemas: + success: + type: object + properties: + confidence: + x-name: confidence + type: string + example: 100% + description: Confidence score of identification. Higher is more confidence. + landmark: + x-name: landmark + type: string + example: Gion + description: Name of the landmark + + + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 05, 2021 + x-details: |+ + 1. Standardizing Output JSON + 2. Overall model accuracy improvements + 3. Better accuracy in detecting non-landmarks + 4. Fix bug in the confidence score computation + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + image_base64: + x-name: image_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input image in base64 format. + + Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/landmark_recognition_sg.yaml b/computer_vision/landmark_recognition_sg.yaml index 579ad5ccc..c31b278da 100644 --- a/computer_vision/landmark_recognition_sg.yaml +++ b/computer_vision/landmark_recognition_sg.yaml @@ -1,281 +1,283 @@ -openapi: 3.0.1 -info: - title: Landmark Detection (SG) - description: |+ - This Computer Vision microservice identifies Singapore landmarks from multiple input images. - - This microservice returns the detected landmark and confidence score. - - The size of your image file should **not exceed 5 MB**. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used for geo-targeting apps with map feature or property development planning resource apps. - version: '1.0.0' - x-subscribelink: landmark_detection_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 5 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Mar 05, 2021" -paths: - /microservices/cv/landmarksg/v1/getpredictions: - post: - tags: - - v1.0.0 - - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - confidence: 100% - landmark: Artscience Museum - message: Successfully Processed - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - - -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - confidence: - x-name: confidence - type: string - example: 100% - description: Confidence score of identification. Higher is more confidence. - landmark: - x-name: landmark - type: string - example: Artscience Museum - description: Name of the landmark - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 05, 2021 - x-details: |+ - 1. Standardizing Output JSON - 2. Overall model accuracy improvements - 3. Better accuracy in detecting non-landmarks - 4. Fix bug in the confidence score computation - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - image_base64 - properties: - image_base64: - x-name: image_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input image file in base64 format. - - Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Landmark Detection (SG) + description: |+ + This Computer Vision microservice identifies Singapore landmarks from multiple input images. + + This microservice returns the detected landmark and confidence score. + + The size of your image file should **not exceed 5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used for geo-targeting apps with map feature or property development planning resource apps. + version: '1.0.0' + x-subscribelink: landmark_detection_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + x-apidetailsdesc: |+ + Identifies Singapore landmarks from multiple input images. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Mar 05, 2021" +paths: + /microservices/cv/landmarksg/v1/getpredictions: + post: + tags: + - v1.0.0 + + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + confidence: 100% + landmark: Artscience Museum + message: Successfully Processed + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + + +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + confidence: + x-name: confidence + type: string + example: 100% + description: Confidence score of identification. Higher is more confidence. + landmark: + x-name: landmark + type: string + example: Artscience Museum + description: Name of the landmark + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 05, 2021 + x-details: |+ + 1. Standardizing Output JSON + 2. Overall model accuracy improvements + 3. Better accuracy in detecting non-landmarks + 4. Fix bug in the confidence score computation + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - image_base64 + properties: + image_base64: + x-name: image_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input image file in base64 format. + + Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/landmark_recognition_sg_v0.1.yaml b/computer_vision/landmark_recognition_sg_v0.1.yaml index 993687e91..38a2528e7 100644 --- a/computer_vision/landmark_recognition_sg_v0.1.yaml +++ b/computer_vision/landmark_recognition_sg_v0.1.yaml @@ -1,265 +1,267 @@ -openapi: 3.0.1 -info: - title: Landmark Detection (SG) - description: |+ - This Computer Vision microservice identifies Singapore landmarks from multiple input images. - - This microservice returns the detected landmark and confidence score. - - The size of your image file should **not exceed 5 MB**. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used for geo-targeting apps with map feature or property development planning resource apps. - version: '0.1.0' - x-subscribelink: landmark_detection_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 5 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 30, 2020" -paths: - /microservices/cv/landmarksg/v0.1/getpredictions: - post: - tags: - - v0.1.0 - - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - confidence: 100% - landmark: Artscience Museum - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - - -components: - schemas: - success: - type: object - properties: - confidence: - x-name: confidence - type: string - example: 100% - description: Confidence score of identification. Higher is more confidence. - landmark: - x-name: landmark - type: string - example: Artscience Museum - description: Name of the landmark - - - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 05, 2021 - x-details: |+ - 1. Standardizing Output JSON - 2. Overall model accuracy improvements - 3. Better accuracy in detecting non-landmarks - 4. Fix bug in the confidence score computation - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - image_base64 - properties: - image_base64: - x-name: image_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input image in base64 format. - - Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Landmark Detection (SG) + description: |+ + This Computer Vision microservice identifies Singapore landmarks from multiple input images. + + This microservice returns the detected landmark and confidence score. + + The size of your image file should **not exceed 5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used for geo-targeting apps with map feature or property development planning resource apps. + version: '0.1.0' + x-subscribelink: landmark_detection_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + x-apidetailsdesc: |+ + Identifies Singapore landmarks from multiple input images. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 30, 2020" +paths: + /microservices/cv/landmarksg/v0.1/getpredictions: + post: + tags: + - v0.1.0 + + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + confidence: 100% + landmark: Artscience Museum + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + + +components: + schemas: + success: + type: object + properties: + confidence: + x-name: confidence + type: string + example: 100% + description: Confidence score of identification. Higher is more confidence. + landmark: + x-name: landmark + type: string + example: Artscience Museum + description: Name of the landmark + + + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 05, 2021 + x-details: |+ + 1. Standardizing Output JSON + 2. Overall model accuracy improvements + 3. Better accuracy in detecting non-landmarks + 4. Fix bug in the confidence score computation + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - image_base64 + properties: + image_base64: + x-name: image_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input image in base64 format. + + Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/masked_face_recognition.yaml b/computer_vision/masked_face_recognition.yaml index f693c1503..c28aabc62 100644 --- a/computer_vision/masked_face_recognition.yaml +++ b/computer_vision/masked_face_recognition.yaml @@ -1,300 +1,302 @@ -openapi: 3.0.1 -info: - title: Masked Face Recognition - description: |+ - This microservice is used to recognise faces of identities behind a mask. The model has been trained on Singapore Politicians Data. - The size of your image file should **not exceed 5 MB**. Minimum image resolution for a perfect face detectiona and recognition should be 250X250 pixels. - The model works well for frontal masked faces. - version: v0.1.0 - x-additionalinfo: |+ - Supported File Formats - - .blp - - .bmp - - .bufr - - .cur - - .dcx - - .dds - - .dib - - .eps - - .ps - - .fit - - .fits - - .flc - - .fli - - .fpx - - .ftc - - .ftu - - .gbr - - .gif - - .grib - - .h5 - - .hd5 - - .icns - - .ico - - .im - - .iim - - .jpeg - - .jp2 - - .mic - - .mpeg - - .msp - - .pcd - - .pcx - - .pxr - - .png - - .ppm - - .psd - - .sgi - - .ras - - .tga - - .tiff - - .wmf - - .xbm - - .xpm - x-subscribelink: masked_face_recognition - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 5 MB. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 30, 2021" -paths: - /microservices/cv/maskedfacerecognition/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - output: {conf: 0.5590788722038269,identity: Teo Chee Hean,location:[71,19,118,82]} - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - output: - type: array - example: {conf: 0.5590788722038269,identity: Teo Chee Hean,location:[71,19,118,82]} - description: Details of the masked face recognised from the image - items: - oneOf: - - type: object - properties: - conf: - description: Confidence score for recognition - example: 0.5590788722038269 - type: float - identity: - description: Name of the identity recognised behind the mask - example: Teo Chee Hean - type: string - location: - description: bounding box of the face in pixel coordinates of left, top, right, bottom. - example: [71,19,118,82] - items: - oneOf: - - type: integer - example: 71 - type: array - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 30, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - image_base64 - - properties: - image_base64: - x-name: image_base64 - type: string - default: True - example: 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 - description: |+ - Input image file in base64 format. - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Masked Face Recognition + description: |+ + This microservice is used to recognise faces of identities behind a mask. The model has been trained on Singapore Politicians Data. + The size of your image file should **not exceed 5 MB**. Minimum image resolution for a perfect face detectiona and recognition should be 250X250 pixels. + The model works well for frontal masked faces. + version: v0.1.0 + x-additionalinfo: |+ + Supported File Formats + - .blp + - .bmp + - .bufr + - .cur + - .dcx + - .dds + - .dib + - .eps + - .ps + - .fit + - .fits + - .flc + - .fli + - .fpx + - .ftc + - .ftu + - .gbr + - .gif + - .grib + - .h5 + - .hd5 + - .icns + - .ico + - .im + - .iim + - .jpeg + - .jp2 + - .mic + - .mpeg + - .msp + - .pcd + - .pcx + - .pxr + - .png + - .ppm + - .psd + - .sgi + - .ras + - .tga + - .tiff + - .wmf + - .xbm + - .xpm + x-subscribelink: masked_face_recognition + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + x-apidetailsdesc: |+ + Recognise faces of identities behind a mask. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 30, 2021" +paths: + /microservices/cv/maskedfacerecognition/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: {conf: 0.5590788722038269,identity: Teo Chee Hean,location:[71,19,118,82]} + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: {conf: 0.5590788722038269,identity: Teo Chee Hean,location:[71,19,118,82]} + description: Details of the masked face recognised from the image + items: + oneOf: + - type: object + properties: + conf: + description: Confidence score for recognition + example: 0.5590788722038269 + type: float + identity: + description: Name of the identity recognised behind the mask + example: Teo Chee Hean + type: string + location: + description: bounding box of the face in pixel coordinates of left, top, right, bottom. + example: [71,19,118,82] + items: + oneOf: + - type: integer + example: 71 + type: array + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 30, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - image_base64 + + properties: + image_base64: + x-name: image_base64 + type: string + default: True + example: 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 + description: |+ + Input image file in base64 format. + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/object_detection.yaml b/computer_vision/object_detection.yaml index 480e12c12..437000263 100644 --- a/computer_vision/object_detection.yaml +++ b/computer_vision/object_detection.yaml @@ -1,299 +1,301 @@ -openapi: 3.0.1 -info: - title: Object Detection - description: |+ - This Computer Vision microservice detects objects in the input image. - - The microservice returns detected objects with their classes and their bounding boxes in the image coordinates. - - The classes are: person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hotdog, pizza, donut, cake, chair, sofa, potted plant, bed, dining table, toilet, tv monitor, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair dryer, toothbrush. - - The size of your image file should **not exceed 5 MB**, and the image dimension should be **at least 416x416 pixels**. - x-additionalinfo: |+ - Suggested Use Cases: - - Industrial inspection - use Object Detection to automate the quality control process in manufacturing by enabling edge devices to identify defects. - - Product search - build a product search app to find products of interest within images and visually search product catalogs. - - Build an object detection app for the visually-impaired - help users identify daily objects that they may need aid in recognising - version: '1.1.0' - x-subscribelink: object_detection - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 5 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.1.0" - description: "Published Date - Oct 08, 2021" -paths: - /microservices/cv/objectdetection/v1/getpredictions: - post: - tags: - - v1.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"results":{"objects": [{"bounding box": {"bottom": 742,"left": 19,"right": 1019,"top": 73},"class": "person","confidence": 1,"object id": 0}]},"message": "Successfully Processed","status": "Success"} - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - objects: - type: array - example: [{"bounding box": {"bottom": 742,"left": 19,"right": 1019,"top": 73},"class": "person","confidence": 1,"object id": 0}] - description: "Details of the detected object" - items: - oneOf: - - type: object - properties: - bounding box: - type: object - example: {"bottom": 742,"left": 19,"right": 1019,"top": 73} - description: Bounding box of the image - properties: - bottom: - type: integer - example: 742 - description: Bottom coordinate of the box - left: - type: integer - example: 19 - description: Left coordinate of the box - right: - type: integer - example: 1019 - description: Right coordinate of the box - top: - type: integer - example: 73 - description: Top coordinate of the box - class: - type: string - example: person - description: Detected object - confidence: - type: integer - example: 1 - description: Confidence of the detected object. Higher confidence, more accurate the detected object. - object id: - type: integer - example: 0 - description: Detected object id - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - - versions: - type: object - properties: - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 08, 2021 - x-details: Model upgrade - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 25, 2021 - x-details: Standardizing Output JSON - description: Depreciating on Oct 07, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - image_base64 - properties: - image_base64: - x-name: image_base64 - type: string - default: true - example: /9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUG... - description: |+ - Input image file in base64 format. - - Supported formats: bmp, dib, exr, hdr, jpeg, jpg, jpe, jp2, png, pic, pbm, pgm, ppm, pxm, pnm, ras, sr, tiff, tif, webp. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Object Detection + description: |+ + This Computer Vision microservice detects objects in the input image. + + The microservice returns detected objects with their classes and their bounding boxes in the image coordinates. + + The classes are: person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hotdog, pizza, donut, cake, chair, sofa, potted plant, bed, dining table, toilet, tv monitor, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair dryer, toothbrush. + + The size of your image file should **not exceed 5 MB**, and the image dimension should be **at least 416x416 pixels**. + x-additionalinfo: |+ + Suggested Use Cases: + - Industrial inspection - use Object Detection to automate the quality control process in manufacturing by enabling edge devices to identify defects. + - Product search - build a product search app to find products of interest within images and visually search product catalogs. + - Build an object detection app for the visually-impaired - help users identify daily objects that they may need aid in recognising + version: '1.1.0' + x-subscribelink: object_detection + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + x-apidetailsdesc: |+ + Detects objects in the input image. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.1.0" + description: "Published Date - Oct 08, 2021" +paths: + /microservices/cv/objectdetection/v1/getpredictions: + post: + tags: + - v1.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"results":{"objects": [{"bounding box": {"bottom": 742,"left": 19,"right": 1019,"top": 73},"class": "person","confidence": 1,"object id": 0}]},"message": "Successfully Processed","status": "Success"} + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + objects: + type: array + example: [{"bounding box": {"bottom": 742,"left": 19,"right": 1019,"top": 73},"class": "person","confidence": 1,"object id": 0}] + description: "Details of the detected object" + items: + oneOf: + - type: object + properties: + bounding box: + type: object + example: {"bottom": 742,"left": 19,"right": 1019,"top": 73} + description: Bounding box of the image + properties: + bottom: + type: integer + example: 742 + description: Bottom coordinate of the box + left: + type: integer + example: 19 + description: Left coordinate of the box + right: + type: integer + example: 1019 + description: Right coordinate of the box + top: + type: integer + example: 73 + description: Top coordinate of the box + class: + type: string + example: person + description: Detected object + confidence: + type: integer + example: 1 + description: Confidence of the detected object. Higher confidence, more accurate the detected object. + object id: + type: integer + example: 0 + description: Detected object id + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + + versions: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 08, 2021 + x-details: Model upgrade + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 25, 2021 + x-details: Standardizing Output JSON + description: Depreciating on Oct 07, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - image_base64 + properties: + image_base64: + x-name: image_base64 + type: string + default: true + example: /9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUG... + description: |+ + Input image file in base64 format. + + Supported formats: bmp, dib, exr, hdr, jpeg, jpg, jpe, jp2, png, pic, pbm, pgm, ppm, pxm, pnm, ras, sr, tiff, tif, webp. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/object_detection_v0.1.yaml b/computer_vision/object_detection_v0.1.yaml index 25c30b24e..9765f314d 100644 --- a/computer_vision/object_detection_v0.1.yaml +++ b/computer_vision/object_detection_v0.1.yaml @@ -1,280 +1,282 @@ -openapi: 3.0.1 -info: - title: Object Detection - description: |+ - This Computer Vision microservice detects objects in the input image. - - The microservice returns detected objects with their classes and their bounding boxes in the image coordinates. - - The classes are: person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hot dog, pizza, donut, cake, chair, sofa, pottedplant, bed, diningtable, toilet, tvmonitor, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair drier, toothbrush. - - The size of your image file should **not exceed 5 MB**, and the image dimension should be **at least 416x416 pixels**. - x-additionalinfo: |+ - Suggested Use Cases: - - Industrial inspection - use Object Detection to automate the quality control process in manufacturing by enabling edge devices to identify defects. - - - Product search - build a product search app to find products of interest within images and visually search product catalogs. - - - Build an object detection app for the visually-impaired - help users identify daily objects that they may need aid in recognising - version: '0.1.0' - x-subscribelink: object_detection - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 5 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - May 15, 2020" -paths: - /microservices/cv/objectdetection/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"Object 1": ["person : 100%",{"Bounding Box": {"Bot": 742,"Left": 19,"Right": 1019,"Top": 73}}],"Object 2": ["tie : 100%",{"Bounding Box": {"Bot": 783,"Left": 411,"Right": 595,"Top": 520}}]} - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - : - type: array - example: ["person : 100%",{"Bounding Box": {"Bot": 742,"Left": 19,"Right": 1019,"Top": 73}}] - description: "Details of the detected object" - items: - properties: - person: - type: string - example: 100% - description: people - Bounding Box: - type: object - example: {"Bot": 742,"Left": 19,"Right": 1019,"Top": 73} - description: Bounding box of the image - properties: - Bot: - type: integer - example: 742 - description: Bottom coordinate of the box - Left: - type: integer - example: 19 - description: Left coordinate of the box - Right: - type: integer - example: 1019 - description: Right coordinate of the box - Top: - type: integer - example: 73 - description: Top coordinate of the box - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - - versions: - type: object - properties: - type: object - properties: - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 06, 2021 - x-details: Model upgrade - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 25, 2021 - x-details: Standardizing Output JSON - description: Depreciating on Oct 05, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - image_base64 - properties: - image_base64: - x-name: image_base64 - type: string - default: true - example: /9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUG... - description: |+ - Input image file in base64 format. - - Supported formats: bmp, dib, exr, hdr, jpeg, jpg, jpe, jp2, png, pic, pbm, pgm, ppm, pxm, pnm, ras, sr, tiff, tif, webp. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Object Detection + description: |+ + This Computer Vision microservice detects objects in the input image. + + The microservice returns detected objects with their classes and their bounding boxes in the image coordinates. + + The classes are: person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hot dog, pizza, donut, cake, chair, sofa, pottedplant, bed, diningtable, toilet, tvmonitor, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair drier, toothbrush. + + The size of your image file should **not exceed 5 MB**, and the image dimension should be **at least 416x416 pixels**. + x-additionalinfo: |+ + Suggested Use Cases: + - Industrial inspection - use Object Detection to automate the quality control process in manufacturing by enabling edge devices to identify defects. + + - Product search - build a product search app to find products of interest within images and visually search product catalogs. + + - Build an object detection app for the visually-impaired - help users identify daily objects that they may need aid in recognising + version: '0.1.0' + x-subscribelink: object_detection + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + x-apidetailsdesc: |+ + Detects objects in the input image. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 15, 2020" +paths: + /microservices/cv/objectdetection/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"Object 1": ["person : 100%",{"Bounding Box": {"Bot": 742,"Left": 19,"Right": 1019,"Top": 73}}],"Object 2": ["tie : 100%",{"Bounding Box": {"Bot": 783,"Left": 411,"Right": 595,"Top": 520}}]} + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + : + type: array + example: ["person : 100%",{"Bounding Box": {"Bot": 742,"Left": 19,"Right": 1019,"Top": 73}}] + description: "Details of the detected object" + items: + properties: + person: + type: string + example: 100% + description: people + Bounding Box: + type: object + example: {"Bot": 742,"Left": 19,"Right": 1019,"Top": 73} + description: Bounding box of the image + properties: + Bot: + type: integer + example: 742 + description: Bottom coordinate of the box + Left: + type: integer + example: 19 + description: Left coordinate of the box + Right: + type: integer + example: 1019 + description: Right coordinate of the box + Top: + type: integer + example: 73 + description: Top coordinate of the box + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + + versions: + type: object + properties: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 06, 2021 + x-details: Model upgrade + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 25, 2021 + x-details: Standardizing Output JSON + description: Depreciating on Oct 05, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - image_base64 + properties: + image_base64: + x-name: image_base64 + type: string + default: true + example: /9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUG... + description: |+ + Input image file in base64 format. + + Supported formats: bmp, dib, exr, hdr, jpeg, jpg, jpe, jp2, png, pic, pbm, pgm, ppm, pxm, pnm, ras, sr, tiff, tif, webp. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/people_counting.yaml b/computer_vision/people_counting.yaml index f000c25ca..a81f1ae00 100644 --- a/computer_vision/people_counting.yaml +++ b/computer_vision/people_counting.yaml @@ -1,278 +1,280 @@ -openapi: 3.0.1 -info: - title: People Counting - description: |+ - This Computer Vision microservice tracks and counts people appearing in the input video. - - This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. - - The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. - x-additionalinfo: |+ - Suggested Use Cases: - - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. - version: '1.0.1' - x-subscribelink: people_counting - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.1" - description: "Published Date - Sep 09, 2021" -paths: - /microservices/cv/peoplecounting/v1/getpredictions: - post: - tags: - - v1.0.1 - - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"results": {"counter": 11, "likelihood of overestimation": 0.76,"likelihood of underestimation": 0.39,"people": [{"assigning confidence": 1,"bounding boxes": {"frame": {"294": {"bottom": 420,"left": 249,"right": 417,"top": 207},"300": {"bottom": 420,"left": 249,"right": 417,"top": 207}}},"detection confidence": 0.76,"duration appeared": 0.20689655172413793,"first appearance": 10.137931034482758,"person id": "011"}]},"message": "Successfully Processed","status": "Success"} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - - -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - counter: - type: integer - example: 11 - description: Number of people detected in video - likelihood of overestimation: - type: float - example: 0.76 - description: How likely would there be ID spikes causing counter to increase People - likelihood of underestimation: - type: float - example: 0.39 - description: How likely the model might miss out detecting people in the video - people: - type: array - example: [{'person id': "001",'first appearance': 1.28, 'duration appeared': 7.66, 'detection confidence': 0.77, 'assigning confidence': 1,"bounding boxes": {"frame": {"294": {"bottom": 420,"left": 249,"right": 417,"top": 207},"300": {"bottom": 420,"left": 249,"right": 417,"top": 207}}}}] - description: Contains a list of individual Persons and their metadata. - items: - oneOf: - - type: object - example: {'person id': "001",'first appearance': 1.28, 'duration appeared': 7.66, 'detection confidence': 0.77, 'assigning confidence': 1,"bounding boxes": {"frame": {"294": {"bottom": 420,"left": 249,"right": 417,"top": 207},"300": {"bottom": 420,"left": 249,"right": 417,"top": 207}}}} - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 09, 2021 - x-details: Bug Fix - Frame Reading - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 25, 2021 - x-details: Standardizing Output JSON - description: Depreciating on Sep 08, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - video_base64 - properties: - video_base64: - x-name: video_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input video file in base64 format. - - Supported formats: acm, anm, apc, au, avi, bfi, bmp_pipe, bmv, codec2, dsf, dss, dvd, fifo, genh, gif, gxf, hls, iff, ifv, ipod, jpeg_pipe, jv, m4v, mjpeg, mlp, mlv, mov, mp2, mp3, mp4, pbm_pipe, pmp, png_pipe, psd_pipe, psp, rawvideo, sdp, sds, sdx, tmv, uncodedframecrc, vcd, vidc, vmd, voc, vpk, wav, webm, wsd, wsvqa, wtv, xmv, xpm_pipe. - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: People Counting + description: |+ + This Computer Vision microservice tracks and counts people appearing in the input video. + + This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. + + The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. + x-additionalinfo: |+ + Suggested Use Cases: + - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. + version: '1.0.1' + x-subscribelink: people_counting + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10 MB/Call + x-inputfilelimit: |+ + Process up to 10 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Track and counts people appearing in video. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.1" + description: "Published Date - Sep 09, 2021" +paths: + /microservices/cv/peoplecounting/v1/getpredictions: + post: + tags: + - v1.0.1 + + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"results": {"counter": 11, "likelihood of overestimation": 0.76,"likelihood of underestimation": 0.39,"people": [{"assigning confidence": 1,"bounding boxes": {"frame": {"294": {"bottom": 420,"left": 249,"right": 417,"top": 207},"300": {"bottom": 420,"left": 249,"right": 417,"top": 207}}},"detection confidence": 0.76,"duration appeared": 0.20689655172413793,"first appearance": 10.137931034482758,"person id": "011"}]},"message": "Successfully Processed","status": "Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + + +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + counter: + type: integer + example: 11 + description: Number of people detected in video + likelihood of overestimation: + type: float + example: 0.76 + description: How likely would there be ID spikes causing counter to increase People + likelihood of underestimation: + type: float + example: 0.39 + description: How likely the model might miss out detecting people in the video + people: + type: array + example: [{'person id': "001",'first appearance': 1.28, 'duration appeared': 7.66, 'detection confidence': 0.77, 'assigning confidence': 1,"bounding boxes": {"frame": {"294": {"bottom": 420,"left": 249,"right": 417,"top": 207},"300": {"bottom": 420,"left": 249,"right": 417,"top": 207}}}}] + description: Contains a list of individual Persons and their metadata. + items: + oneOf: + - type: object + example: {'person id': "001",'first appearance': 1.28, 'duration appeared': 7.66, 'detection confidence': 0.77, 'assigning confidence': 1,"bounding boxes": {"frame": {"294": {"bottom": 420,"left": 249,"right": 417,"top": 207},"300": {"bottom": 420,"left": 249,"right": 417,"top": 207}}}} + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 09, 2021 + x-details: Bug Fix - Frame Reading + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 25, 2021 + x-details: Standardizing Output JSON + description: Depreciating on Sep 08, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - video_base64 + properties: + video_base64: + x-name: video_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input video file in base64 format. + + Supported formats: acm, anm, apc, au, avi, bfi, bmp_pipe, bmv, codec2, dsf, dss, dvd, fifo, genh, gif, gxf, hls, iff, ifv, ipod, jpeg_pipe, jv, m4v, mjpeg, mlp, mlv, mov, mp2, mp3, mp4, pbm_pipe, pmp, png_pipe, psd_pipe, psp, rawvideo, sdp, sds, sdx, tmv, uncodedframecrc, vcd, vidc, vmd, voc, vpk, wav, webm, wsd, wsvqa, wtv, xmv, xpm_pipe. + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index e76a79556..3e28110af 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -1,509 +1,511 @@ -openapi: 3.0.1 -info: - title: People Counting (Large File) - description: |+ - This Computer Vision microservice tracks and counts people appearing in the input video. - - This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. - - The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. - For larger image, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective appearance and confidence of each person detected. - x-additionalinfo: |+ - Suggested Use Cases: - - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. - version: '0.1.0' - x-subscribelink: people_counting_large_file - x-apitype: large file - x-apitypedescription: |+ - Asyncronous | Batch | 10GB/File - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 10 MB -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 11, 2021" -paths: - /async/microservices/cv/peoplecounting/v0/getuploadurl: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - fields: - content-type: text/plain - key: 1/2/lp-peoplecounting/input/test_1991d4936ddb4728afaa06cb260b0253.txt - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request - x-goog-date: 20211123T105846Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '1' - x-goog-meta-uid: '2' - x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 - x-goog-signature: >- - 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 - jid: 1991d4936ddb4728afaa06cb260b0253 - request_cost: 0 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - /upload: - post: - servers: - - url: 'https://storage.googleapis.com/user_space_dev/' - description: Override base path for the GET /ping operation - tags: - - v0.1.0 - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/uploadinput' - required: true - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - /async/microservices/nlp/peoplecounting/v0/getstatus: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: jid - schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 - status: Processing - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated - message: - type: string - example: File Processing Successfully Started - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Processing - description: Detail description on the API status - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - fields: - type: object - example: { "" } - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 23, 2021 - x-details: Initial version release - description: Archived - input: - type: object - required: - - file_name - properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size - file_name: - x-name: file_name - type: string - default: true - format: binary - example: 'test.txt' - description: |+ - File name - content_type: - x-name: content_type - type: string - default: true - example: 'text/plain' - description: |+ - Content type - uploadinput: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: sample.wav - description: file - content-type: - type: string - default: false - example: application/pdf - description: Fields - key: - type: string - default: false - example: 1/2/lp-textsummarisation/input/Pdf_6mb_cf3d329bd9df4cef91966c336386eea3.pdf - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: {\"password\": \"fffff\"} - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 1 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 2 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 - description: Fields - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: People Counting (Large File) + description: |+ + This Computer Vision microservice tracks and counts people appearing in the input video. + + This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. + + The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. + For larger image, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective appearance and confidence of each person detected. + x-additionalinfo: |+ + Suggested Use Cases: + - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. + version: '0.1.0' + x-subscribelink: people_counting_large_file + x-apitype: large file + x-apitypedescription: |+ + Fast | Single-Call | 10 MB/Call + x-inputfilelimit: |+ + Process up to 10 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Track and counts people appearing in video. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 11, 2021" +paths: + /async/microservices/cv/peoplecounting/v0/getuploadurl: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: text/plain + key: 1/2/lp-peoplecounting/input/test_1991d4936ddb4728afaa06cb260b0253.txt + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request + x-goog-date: 20211123T105846Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '1' + x-goog-meta-uid: '2' + x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 + x-goog-signature: >- + 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 + jid: 1991d4936ddb4728afaa06cb260b0253 + request_cost: 0 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/nlp/peoplecounting/v0/getstatus: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 23, 2021 + x-details: Initial version release + description: Archived + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: |+ + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: 'test.txt' + description: |+ + File name + content_type: + x-name: content_type + type: string + default: true + example: 'text/plain' + description: |+ + Content type + uploadinput: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: application/pdf + description: Fields + key: + type: string + default: false + example: 1/2/lp-textsummarisation/input/Pdf_6mb_cf3d329bd9df4cef91966c336386eea3.pdf + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: {\"password\": \"fffff\"} + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 1 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 2 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/people_counting_v0.1.yaml b/computer_vision/people_counting_v0.1.yaml index dee501aba..9a9626034 100644 --- a/computer_vision/people_counting_v0.1.yaml +++ b/computer_vision/people_counting_v0.1.yaml @@ -1,275 +1,276 @@ -openapi: 3.0.1 -info: - title: People Counting - description: |+ - This Computer Vision microservice tracks and counts people appearing in the input video. - - This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance and the duration and confidence of each person detected. - - The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. - x-additionalinfo: |+ - Suggested Use Cases: - - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. - version: '0.1.0' - x-subscribelink: people_counting - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 30, 2020" -paths: - /microservices/cv/peoplecounting/v0.1/getpredictions: - post: - tags: - - v0.1.0 - - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {'counter': '11 people', 'likelihood of overestimation': '76.0%', 'likelihood of underestimation': '39.0%', 'people': [{'person id: 001': ['first appearance: 1.28s', 'duration appeared: 7.66s', 'detection confidence: 77%', 'assigning confidence: 100%']}, {'person id: 002': ['first appearance: 3.34s', 'duration appeared: 7.03s', 'detection confidence: 73%', 'assigning confidence: 82.0%']}]} - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - - -components: - schemas: - success: - type: object - example: {'counter': '11 people', 'likelihood of overestimation': '76.0%', 'likelihood of underestimation': '39.0%', 'people': [{'person id: 001': ['first appearance: 1.28s', 'duration appeared: 7.66s', 'detection confidence: 77%', 'assigning confidence: 100%']}, {'person id: 002': ['first appearance: 3.34s', 'duration appeared: 7.03s', 'detection confidence: 73%', 'assigning confidence: 82.0%']}]} - properties: - counter: - type: string - example: 11 people - description: Number of people detected in video - likelihood of overestimation: - type: string - example: 76.0% - description: How likely would there be ID spikes causing counter to increase People - likelihood of underestimation: - type: string - example: 39.0% - description: How likely the model might miss out detecting people in the video - people: - type: array - example: [{'person ID: 001': ['first appearance: 1.28s', 'duration appeared: 7.66s', 'detection confidence: 77%', 'assigning confidence: 100%']}, {'person ID: 002': ['first appearance: 3.34s', 'duration appeared: 7.03s', 'detection confidence: 73%', 'assigning confidence: 82.0%']}] - description: Contains a list of individual Persons and their metadata. - items: - oneOf: - - type: object - example: {'person ID: 001': ['first appearance: 1.28s', 'duration appeared: 7.66s', 'detection confidence: 77%', 'assigning confidence: 100%']} - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 09, 2021 - x-details: Bug Fix - Frame Reading - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 25, 2021 - x-details: Standardizing Output JSON - description: Depreciating on Sep 08, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - video_base64 - properties: - video_base64: - x-name: video_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input video in base64 format. - - Supported formats: acm, anm, apc, au, avi, bfi, bmp_pipe, bmv, codec2, dsf, dss, dvd, fifo, genh, gif, gxf, hls, iff, ifv, ipod, jpeg_pipe, jv, m4v, mjpeg, mlp, mlv, mov, mp2, mp3, mp4, pbm_pipe, pmp, png_pipe, psd_pipe, psp, rawvideo, sdp, sds, sdx, tmv, uncodedframecrc, vcd, vidc, vmd, voc, vpk, wav, webm, wsd, wsvqa, wtv, xmv, xpm_pipe. - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: People Counting + description: |+ + This Computer Vision microservice tracks and counts people appearing in the input video. + + This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance and the duration and confidence of each person detected. + + The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. + x-additionalinfo: |+ + Suggested Use Cases: + - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. + version: '0.1.0' + x-subscribelink: people_counting + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10 MB/Call + x-inputfilelimit: |+ + Process up to 10 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Track and counts people appearing in video.servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 30, 2020" +paths: + /microservices/cv/peoplecounting/v0.1/getpredictions: + post: + tags: + - v0.1.0 + + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {'counter': '11 people', 'likelihood of overestimation': '76.0%', 'likelihood of underestimation': '39.0%', 'people': [{'person id: 001': ['first appearance: 1.28s', 'duration appeared: 7.66s', 'detection confidence: 77%', 'assigning confidence: 100%']}, {'person id: 002': ['first appearance: 3.34s', 'duration appeared: 7.03s', 'detection confidence: 73%', 'assigning confidence: 82.0%']}]} + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + + +components: + schemas: + success: + type: object + example: {'counter': '11 people', 'likelihood of overestimation': '76.0%', 'likelihood of underestimation': '39.0%', 'people': [{'person id: 001': ['first appearance: 1.28s', 'duration appeared: 7.66s', 'detection confidence: 77%', 'assigning confidence: 100%']}, {'person id: 002': ['first appearance: 3.34s', 'duration appeared: 7.03s', 'detection confidence: 73%', 'assigning confidence: 82.0%']}]} + properties: + counter: + type: string + example: 11 people + description: Number of people detected in video + likelihood of overestimation: + type: string + example: 76.0% + description: How likely would there be ID spikes causing counter to increase People + likelihood of underestimation: + type: string + example: 39.0% + description: How likely the model might miss out detecting people in the video + people: + type: array + example: [{'person ID: 001': ['first appearance: 1.28s', 'duration appeared: 7.66s', 'detection confidence: 77%', 'assigning confidence: 100%']}, {'person ID: 002': ['first appearance: 3.34s', 'duration appeared: 7.03s', 'detection confidence: 73%', 'assigning confidence: 82.0%']}] + description: Contains a list of individual Persons and their metadata. + items: + oneOf: + - type: object + example: {'person ID: 001': ['first appearance: 1.28s', 'duration appeared: 7.66s', 'detection confidence: 77%', 'assigning confidence: 100%']} + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 09, 2021 + x-details: Bug Fix - Frame Reading + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 25, 2021 + x-details: Standardizing Output JSON + description: Depreciating on Sep 08, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - video_base64 + properties: + video_base64: + x-name: video_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input video in base64 format. + + Supported formats: acm, anm, apc, au, avi, bfi, bmp_pipe, bmv, codec2, dsf, dss, dvd, fifo, genh, gif, gxf, hls, iff, ifv, ipod, jpeg_pipe, jv, m4v, mjpeg, mlp, mlv, mov, mp2, mp3, mp4, pbm_pipe, pmp, png_pipe, psd_pipe, psp, rawvideo, sdp, sds, sdx, tmv, uncodedframecrc, vcd, vidc, vmd, voc, vpk, wav, webm, wsd, wsvqa, wtv, xmv, xpm_pipe. + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/person_reidentification.yaml b/computer_vision/person_reidentification.yaml index 04ec99860..87b366475 100644 --- a/computer_vision/person_reidentification.yaml +++ b/computer_vision/person_reidentification.yaml @@ -1,289 +1,291 @@ - -openapi: 3.0.1 -info: - title: Person Reidentification - description: |+ - This Computer Vision microservice returns a similarity score (confidence) between two cropped images of people in the same scene. The images are captured across different camera views in a multi-camera system, or across different time in a single camera system. The size of your image should not exceed 5MB. - x-additionalinfo: |+ - The algorithm is tested on varying conditions with single and multiple surveillance camera setups. However, external conditions like lighting, occlusions, and unexpected change of appearance (e.g. removal of jacket, hatwear) may result in lower confidence than expected. A threshold of 0.8 confidence has been experimentally tested as a good value for many scenarios for determining if the two input images are of the same person. - Supported File Formats - - .blp - - .bmp - - .bufr - - .cur - - .dcx - - .dds - - .dib - - .eps - - .ps - - .fit - - .fits - - .flc - - .fli - - .fpx - - .ftc - - .ftu - - .gbr - - .gif - - .grib - - .h5 - - .hd5 - - .icns - - .ico - - .im - - .iim - - .jpeg - - .jp2 - - .mic - - .mpeg - - .msp - - .pcd - - .pcx - - .pxr - - .png - - .ppm - - .psd - - .sgi - - .ras - - .tga - - .tiff - - .wmf - - .xbm - - .xpm - version: v0.1.0 - x-subscribelink: person_reidentification - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size of image file should not exceed 5 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - November 26, 2021" -paths: - /microservices/cv/personreidentification/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - confidence: 1.0 - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - confidence: - description: The confidence score if the 2 input images are of the same person. Range = [0.0 to 1.0] - example: 1.0 - type: float - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - November 26, 2021 - x-details: Initial Version - description: Latest Version - input: - type: object - required: - - - image1_base64 - - - image2_base64 - - properties: - image1_base64: - x-name: image1_base64 - type: string - default: True - example: 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 - description: |+ - Cropped Image of the 1st Person in base64 format. - image2_base64: - x-name: image2_base64 - type: string - default: True - example: 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 - description: |+ - Cropped Image of the 2nd Person in base64 format. - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Person Reidentification + description: |+ + This Computer Vision microservice returns a similarity score (confidence) between two cropped images of people in the same scene. The images are captured across different camera views in a multi-camera system, or across different time in a single camera system. The size of your image should not exceed 5MB. + x-additionalinfo: |+ + The algorithm is tested on varying conditions with single and multiple surveillance camera setups. However, external conditions like lighting, occlusions, and unexpected change of appearance (e.g. removal of jacket, hatwear) may result in lower confidence than expected. A threshold of 0.8 confidence has been experimentally tested as a good value for many scenarios for determining if the two input images are of the same person. + Supported File Formats + - .blp + - .bmp + - .bufr + - .cur + - .dcx + - .dds + - .dib + - .eps + - .ps + - .fit + - .fits + - .flc + - .fli + - .fpx + - .ftc + - .ftu + - .gbr + - .gif + - .grib + - .h5 + - .hd5 + - .icns + - .ico + - .im + - .iim + - .jpeg + - .jp2 + - .mic + - .mpeg + - .msp + - .pcd + - .pcx + - .pxr + - .png + - .ppm + - .psd + - .sgi + - .ras + - .tga + - .tiff + - .wmf + - .xbm + - .xpm + version: v0.1.0 + x-subscribelink: person_reidentification + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + x-apidetailsdesc: |+ + Return similarity score (confidence) between two cropped images of people. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - November 26, 2021" +paths: + /microservices/cv/personreidentification/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + confidence: 1.0 + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + confidence: + description: The confidence score if the 2 input images are of the same person. Range = [0.0 to 1.0] + example: 1.0 + type: float + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - November 26, 2021 + x-details: Initial Version + description: Latest Version + input: + type: object + required: + + - image1_base64 + + - image2_base64 + + properties: + image1_base64: + x-name: image1_base64 + type: string + default: True + example: 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 + description: |+ + Cropped Image of the 1st Person in base64 format. + image2_base64: + x-name: image2_base64 + type: string + default: True + example: 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 + description: |+ + Cropped Image of the 2nd Person in base64 format. + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index c7d6c9b1a..8268532df 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -1,1668 +1,1670 @@ -openapi: 3.0.1 -info: - title: Receipt Scanner - description: |+ - This Computer Vision microservice takes in receipts and extracts meaningful and structured data, including the total amount, tax amount, date and merchant name. - - The API will return a JSON containing all data the could be extracted, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. - version: '0.1.0' - x-subscribelink: receipt_scanner - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10MB of payload -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 11, 2021" -paths: - /microservices/cv/scanreceipt/v0/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - scanDocuments: - data: - AccountName: - UICategory: Payment Instructions - UIName: Account Name - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - AccountNumber: - UICategory: Payment Instructions - UIName: Account Number - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - BigBoxes: - - box: - - 106 - - 134 - - 385 - - 174 - - 245.5 - - 154 - - East Repair Inc. - - East Repair Inc. - page: 0 - - box: - - 1148 - - 129 - - 1308 - - 171 - - 1228 - - 150 - - RECEIPT - - RECEIPT - page: 0 - - box: - - 102 - - 208 - - 322 - - 273 - - 212 - - 240.5 - - |- - 1912 Harvest Lane - New York, NY 12210 - - |- - 1912 Harvest Lane - New York , NY 12210 - page: 0 - - box: - - 1232 - - 455 - - 1307 - - 479 - - 1269.5 - - 467 - - US-001 - - US-001 - page: 0 - - box: - - 102 - - 452 - - 322 - - 591 - - 212 - - 521.5 - - |- - Bill To - John Smith - 2 Court Square - New York, NY 12210 - - |- - Bill To - John Smith - 2 Court Square - New York , NY 12210 - page: 0 - - box: - - 529 - - 454 - - 766 - - 595 - - 647.5 - - 524.5 - - |- - Ship To - John Smith - 3787 Pineview Drive - Cambridge, MA 12210 - - |- - Ship To - John Smith - 3787 Pineview Drive - Cambridge , MA 12210 - page: 0 - - box: - - 972 - - 452 - - 1113 - - 531 - - 1042.5 - - 491.5 - - |- - Receipt # - Receipt Date - - |- - Receipt # - Receipt Date - page: 0 - - box: - - 1193 - - 500 - - 1309 - - 527 - - 1251 - - 513.5 - - 11/02/2019 - - 11/02/2019 - page: 0 - - box: - - 1055 - - 553 - - 1114 - - 575 - - 1084.5 - - 564 - - 'PO #' - - 'P.O. #' - page: 0 - - box: - - 1200 - - 553 - - 1310 - - 576 - - 1255 - - 564.5 - - 2312/2019 - - 2312/2019 - page: 0 - - box: - - 1012 - - 600 - - 1112 - - 622 - - 1062 - - 611 - - Due Date - - Due Date - page: 0 - - box: - - 1193 - - 600 - - 1310 - - 623 - - 1251.5 - - 611.5 - - 26/02/2019 - - 26/02/2019 - page: 0 - - box: - - 130 - - 732 - - 178 - - 751 - - 154 - - 741.5 - - QTY - - QTY - page: 0 - - box: - - 422 - - 731 - - 580 - - 752 - - 501 - - 741.5 - - DESCRIPTION - - DESCRIPTION - page: 0 - - box: - - 831 - - 722 - - 962 - - 759 - - 896.5 - - 740.5 - - UNIT PRICE - - UNIT PRICE - page: 0 - - box: - - 1102 - - 730 - - 1205 - - 752 - - 1153.5 - - 741 - - AMOUNT - - AMOUNT - page: 0 - - box: - - 149 - - 793 - - 155 - - 813 - - 152 - - 803 - - '1' - - '1' - page: 0 - - box: - - 229 - - 793 - - 518 - - 816 - - 373.5 - - 804.5 - - Front and rear brake cables - - Front and rear brake cables - page: 0 - - box: - - 911 - - 793 - - 981 - - 814 - - 946 - - 803.5 - - '100.00' - - '100.00' - page: 0 - - box: - - 1220 - - 793 - - 1289 - - 816 - - 1254.5 - - 804.5 - - '100.00' - - '100.00' - page: 0 - - box: - - 148 - - 857 - - 159 - - 876 - - 153.5 - - 866.5 - - '2' - - '2' - page: 0 - - box: - - 229 - - 852 - - 463 - - 884 - - 346 - - 868 - - New set of pedal arms - - New set of pedal arms - page: 0 - - box: - - 925 - - 857 - - 981 - - 879 - - 953 - - 868 - - '15.00' - - '15.00' - page: 0 - - box: - - 1231 - - 856 - - 1290 - - 879 - - 1260.5 - - 867.5 - - '30.00' - - '30.00' - page: 0 - - box: - - 149 - - 920 - - 160 - - 939 - - 154.5 - - 929.5 - - '3' - - '3' - page: 0 - - box: - - 229 - - 918 - - 340 - - 939 - - 284.5 - - 928.5 - - Labor 3hrs - - Labor 3hrs - page: 0 - - box: - - 936 - - 920 - - 980 - - 940 - - 958 - - 930 - - '5.00' - - '5.00' - page: 0 - - box: - - 1233 - - 920 - - 1289 - - 941 - - 1261 - - 930.5 - - '15.00' - - '15.00' - page: 0 - - box: - - 897 - - 981 - - 981 - - 1003 - - 939 - - 992 - - Subtotal - - Subtotal - page: 0 - - box: - - 1219 - - 980 - - 1288 - - 1002 - - 1253.5 - - 991 - - '145.00' - - '145.00' - page: 0 - - box: - - 803 - - 1042 - - 980 - - 1063 - - 891.5 - - 1052.5 - - Sales Tax 6.25% - - Sales Tax 6.25% - page: 0 - - box: - - 1244 - - 1042 - - 1289 - - 1065 - - 1266.5 - - 1053.5 - - '9.06' - - '9.06' - page: 0 - - box: - - 872 - - 1104 - - 981 - - 1137 - - 926.5 - - 1120.5 - - TOTAL - - TOTAL - page: 0 - - box: - - 1172 - - 1101 - - 1289 - - 1140 - - 1230.5 - - 1120.5 - - "$ 154.06" - - "$ 154.06" - page: 0 - - box: - - 102 - - 1728 - - 422 - - 1801 - - 262 - - 1764.5 - - |- - Terms & Conditions - Payment is due within 15 days - - |- - Terms & Conditions - Payment is due within 15 days - page: 0 - - box: - - 104 - - 1841 - - 616 - - 1871 - - 360 - - 1856 - - 'Please make checks payable to: East Repair Inc.' - - 'Please make checks payable to: East Repair Inc.' - page: 0 - BillingAddress: - UICategory: Vendor & Customer - UIName: Billing Address - UIType: Text - matches: - - keyword: - - 102 - - 452 - - 322 - - 591 - - 212 - - 521.5 - - |- - Bill To - John Smith - 2 Court Square - New York, NY 12210 - - |- - Bill To - John Smith - 2 Court Square - New York , NY 12210 - match: |- - John Smith - 2 Court Square - New York, NY 12210 - matchmulti: Bill To John Smith 2 Court Square New York , NY 12210 - page: 0 - value: - - 102 - - 452 - - 322 - - 591 - - 212 - - 521.5 - - |- - Bill To - John Smith - 2 Court Square - New York, NY 12210 - - |- - Bill To - John Smith - 2 Court Square - New York , NY 12210 - CompanyName: - UICategory: Vendor & Customer - UIName: Vendor Name - UIType: Text - matches: - - keyword: - - 106 - - 134 - - 385 - - 174 - - 245.5 - - 154 - - East Repair Inc. - - East Repair Inc. - match: East Repair Inc. - matchmulti: East Repair Inc. - page: 0 - value: - - 106 - - 134 - - 385 - - 174 - - 245.5 - - 154 - - East Repair Inc. - - East Repair Inc. - Currency: - UICategory: VAT & Amounts - UIName: Currency - UIType: Text - matches: - - keyword: - - 872 - - 1104 - - 981 - - 1137 - - 926.5 - - 1120.5 - - TOTAL - - TOTAL - match: "$" - matchmulti: "$ 154.06" - page: 0 - value: - - 1172 - - 1101 - - 1289 - - 1140 - - 1230.5 - - 1120.5 - - "$ 154.06" - - "$ 154.06" - Customer: - DetectedText: 'East Repair Inc. RECEIPT 1912 Harvest Lane New York, NY 12210 - US-001 Bill To John Smith 2 Court Square New York, NY 12210 Ship To John Smith - 3787 Pineview Drive Cambridge, MA 12210 Receipt # Receipt Date 11/02/2019 - PO # 2312/2019 Due Date 26/02/2019 QTY DESCRIPTION UNIT PRICE AMOUNT 1 Front - and rear brake cables 100.00 100.00 2 New set of pedal arms 15.00 30.00 3 - Labor 3hrs 5.00 15.00 Subtotal 145.00 Sales Tax 6.25% 9.06 TOTAL $ 154.06 - Terms & Conditions Payment is due within 15 days Please make checks payable - to: East Repair Inc. ' - DocSize: - - - 2000 - - 1413 - Email: - UICategory: Vendor & Customer - UIName: Email - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - Freight: - UICategory: VAT & Amounts - UIName: Freight - UIType: Amount - matches: - - keyword: - match: - matchmulti: - page: - value: - IBAN: - UICategory: Payment Instructions - UIName: IBAN - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - InvoiceDate: - UICategory: Basic Information - UIName: Invoice Date - UIType: Date - matches: - - keyword: - - 972 - - 499 - - 1113 - - 531 - - 1042.5 - - 515 - - Receipt Date - - Receipt Date - match: '2019-11-02' - matchmulti: 11/02/2019 - page: 0 - value: - - 1193 - - 500 - - 1309 - - 527 - - 1251 - - 513.5 - - 11/02/2019 - - 11/02/2019 - InvoiceNumber: - UICategory: Basic Information - UIName: Invoice Number - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - LineItems: - - - 'AMOUNT ': - - '100.00' - 'DESCRIPTION ': - - Front and rear brake cables - 'QTY ': - - '1' - 'UNIT PRICE ': - - '100.00' - - 'AMOUNT ': - - '30.00' - 'DESCRIPTION ': - - New set of pedal arms - 'QTY ': - - '2' - 'UNIT PRICE ': - - '15.00' - - 'AMOUNT ': - - '15.00' - 'DESCRIPTION ': - - Labor 3hrs - 'QTY ': - - '3' - 'UNIT PRICE ': - - '5.00' - LineItems_standardHeader: - - - Description: Front and rear brake cables - LineAmount: 100 - Quantity: 1 - UnitAmount: 100 - - Description: New set of pedal arms - LineAmount: 30 - Quantity: 2 - UnitAmount: 15 - - Description: Labor 3hrs - LineAmount: 15 - Quantity: 3 - UnitAmount: 5 - OtherAddress: - UICategory: Vendor & Customer - UIName: Other Address - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - OtherDate: - UICategory: Basic Information - UIName: Other Date - UIType: Date - matches: - - keyword: - match: - matchmulti: - page: - value: - PONumber: - UICategory: Vendor & Customer - UIName: PO Number - UIType: Text - matches: - - keyword: - - 1055 - - 553 - - 1114 - - 575 - - 1084.5 - - 564 - - 'PO #' - - 'P.O. #' - match: 2312/2019 - matchmulti: 2312/2019 - page: 0 - value: - - 1200 - - 553 - - 1310 - - 576 - - 1255 - - 564.5 - - 2312/2019 - - 2312/2019 - PaymentDate: - UICategory: Basic Information - UIName: Payment Date - UIType: Date - matches: - - keyword: - - 1012 - - 600 - - 1112 - - 622 - - 1062 - - 611 - - Due Date - - Due Date - match: '2019-02-26' - matchmulti: 26/02/2019 - page: 0 - value: - - 1193 - - 600 - - 1310 - - 623 - - 1251.5 - - 611.5 - - 26/02/2019 - - 26/02/2019 - SenderAddress: - UICategory: Vendor & Customer - UIName: Vendor Address - UIType: Text - matches: - - keyword: - - 106 - - 134 - - 385 - - 174 - - 245.5 - - 154 - - East Repair Inc. - - East Repair Inc. - match: East Repair Inc. - matchmulti: East Repair Inc. - page: 0 - value: - - 106 - - 134 - - 385 - - 174 - - 245.5 - - 154 - - East Repair Inc. - - East Repair Inc. - ShippingAddress: - UICategory: Vendor & Customer - UIName: Shipping Address - UIType: Text - matches: - - keyword: - - 529 - - 454 - - 766 - - 595 - - 647.5 - - 524.5 - - |- - Ship To - John Smith - 3787 Pineview Drive - Cambridge, MA 12210 - - |- - Ship To - John Smith - 3787 Pineview Drive - Cambridge , MA 12210 - match: |- - John Smith - 3787 Pineview Drive - Cambridge, MA 12210 - matchmulti: Ship To John Smith 3787 Pineview Drive Cambridge , MA 12210 - page: 0 - value: - - 529 - - 454 - - 766 - - 595 - - 647.5 - - 524.5 - - |- - Ship To - John Smith - 3787 Pineview Drive - Cambridge, MA 12210 - - |- - Ship To - John Smith - 3787 Pineview Drive - Cambridge , MA 12210 - SmallBoxes: - - box: - - 106 - - 134 - - 385 - - 174 - - 245.5 - - 154 - - East Repair Inc. - - East Repair Inc. - page: 0 - - box: - - 1148 - - 129 - - 1308 - - 171 - - 1228 - - 150 - - RECEIPT - - RECEIPT - page: 0 - - box: - - 105 - - 208 - - 302 - - 241 - - 203.5 - - 224.5 - - 1912 Harvest Lane - - 1912 Harvest Lane - page: 0 - - box: - - 102 - - 242 - - 322 - - 273 - - 212 - - 257.5 - - New York, NY 12210 - - New York , NY 12210 - page: 0 - - box: - - 1232 - - 455 - - 1307 - - 479 - - 1269.5 - - 467 - - US-001 - - US-001 - page: 0 - - box: - - 104 - - 452 - - 174 - - 481 - - 139 - - 466.5 - - Bill To - - Bill To - page: 0 - - box: - - 103 - - 492 - - 220 - - 524 - - 161.5 - - 508 - - John Smith - - John Smith - page: 0 - - box: - - 103 - - 527 - - 262 - - 559 - - 182.5 - - 543 - - 2 Court Square - - 2 Court Square - page: 0 - - box: - - 102 - - 560 - - 322 - - 591 - - 212 - - 575.5 - - New York, NY 12210 - - New York , NY 12210 - page: 0 - - box: - - 529 - - 454 - - 616 - - 482 - - 572.5 - - 468 - - Ship To - - Ship To - page: 0 - - box: - - 530 - - 494 - - 647 - - 523 - - 588.5 - - 508.5 - - John Smith - - John Smith - page: 0 - - box: - - 530 - - 527 - - 744 - - 555 - - 637 - - 541 - - 3787 Pineview Drive - - 3787 Pineview Drive - page: 0 - - box: - - 529 - - 559 - - 766 - - 595 - - 647.5 - - 577 - - Cambridge, MA 12210 - - Cambridge , MA 12210 - page: 0 - - box: - - 1009 - - 452 - - 1113 - - 483 - - 1061 - - 467.5 - - 'Receipt #' - - 'Receipt #' - page: 0 - - box: - - 972 - - 499 - - 1113 - - 531 - - 1042.5 - - 515 - - Receipt Date - - Receipt Date - page: 0 - - box: - - 1193 - - 500 - - 1309 - - 527 - - 1251 - - 513.5 - - 11/02/2019 - - 11/02/2019 - page: 0 - - box: - - 1055 - - 553 - - 1114 - - 575 - - 1084.5 - - 564 - - 'PO #' - - 'P.O. #' - page: 0 - - box: - - 1200 - - 553 - - 1310 - - 576 - - 1255 - - 564.5 - - 2312/2019 - - 2312/2019 - page: 0 - - box: - - 1012 - - 600 - - 1112 - - 622 - - 1062 - - 611 - - Due Date - - Due Date - page: 0 - - box: - - 1193 - - 600 - - 1310 - - 623 - - 1251.5 - - 611.5 - - 26/02/2019 - - 26/02/2019 - page: 0 - - box: - - 130 - - 732 - - 178 - - 751 - - 154 - - 741.5 - - QTY - - QTY - page: 0 - - box: - - 422 - - 731 - - 580 - - 752 - - 501 - - 741.5 - - DESCRIPTION - - DESCRIPTION - page: 0 - - box: - - 831 - - 722 - - 962 - - 759 - - 896.5 - - 740.5 - - UNIT PRICE - - UNIT PRICE - page: 0 - - box: - - 1102 - - 730 - - 1205 - - 752 - - 1153.5 - - 741 - - AMOUNT - - AMOUNT - page: 0 - - box: - - 149 - - 793 - - 155 - - 813 - - 152 - - 803 - - '1' - - '1' - page: 0 - - box: - - 229 - - 793 - - 518 - - 816 - - 373.5 - - 804.5 - - Front and rear brake cables - - Front and rear brake cables - page: 0 - - box: - - 911 - - 793 - - 981 - - 814 - - 946 - - 803.5 - - '100.00' - - '100.00' - page: 0 - - box: - - 1220 - - 793 - - 1289 - - 816 - - 1254.5 - - 804.5 - - '100.00' - - '100.00' - page: 0 - - box: - - 148 - - 857 - - 159 - - 876 - - 153.5 - - 866.5 - - '2' - - '2' - page: 0 - - box: - - 229 - - 852 - - 463 - - 884 - - 346 - - 868 - - New set of pedal arms - - New set of pedal arms - page: 0 - - box: - - 925 - - 857 - - 981 - - 879 - - 953 - - 868 - - '15.00' - - '15.00' - page: 0 - - box: - - 1231 - - 856 - - 1290 - - 879 - - 1260.5 - - 867.5 - - '30.00' - - '30.00' - page: 0 - - box: - - 149 - - 920 - - 160 - - 939 - - 154.5 - - 929.5 - - '3' - - '3' - page: 0 - - box: - - 229 - - 918 - - 340 - - 939 - - 284.5 - - 928.5 - - Labor 3hrs - - Labor 3hrs - page: 0 - - box: - - 936 - - 920 - - 980 - - 940 - - 958 - - 930 - - '5.00' - - '5.00' - page: 0 - - box: - - 1233 - - 920 - - 1289 - - 941 - - 1261 - - 930.5 - - '15.00' - - '15.00' - page: 0 - - box: - - 897 - - 981 - - 981 - - 1003 - - 939 - - 992 - - Subtotal - - Subtotal - page: 0 - - box: - - 1219 - - 980 - - 1288 - - 1002 - - 1253.5 - - 991 - - '145.00' - - '145.00' - page: 0 - - box: - - 803 - - 1042 - - 980 - - 1063 - - 891.5 - - 1052.5 - - Sales Tax 6.25% - - Sales Tax 6.25% - page: 0 - - box: - - 1244 - - 1042 - - 1289 - - 1065 - - 1266.5 - - 1053.5 - - '9.06' - - '9.06' - page: 0 - - box: - - 872 - - 1104 - - 981 - - 1137 - - 926.5 - - 1120.5 - - TOTAL - - TOTAL - page: 0 - - box: - - 1172 - - 1101 - - 1289 - - 1140 - - 1230.5 - - 1120.5 - - "$ 154.06" - - "$ 154.06" - page: 0 - - box: - - 102 - - 1728 - - 327 - - 1760 - - 214.5 - - 1744 - - Terms & Conditions - - Terms & Conditions - page: 0 - - box: - - 104 - - 1767 - - 422 - - 1801 - - 263 - - 1784 - - Payment is due within 15 days - - Payment is due within 15 days - page: 0 - - box: - - 104 - - 1841 - - 616 - - 1871 - - 360 - - 1856 - - 'Please make checks payable to: East Repair Inc.' - - 'Please make checks payable to: East Repair Inc.' - page: 0 - Subtotal: - UICategory: VAT & Amounts - UIName: Subtotal - UIType: Amount - matches: - - keyword: - - 897 - - 775 - - 981 - - 797 - - 939 - - 992 - - Subtotal - - Subtotal - match: 145 - matchmulti: '145.00' - page: 0 - value: - - 1219 - - 980 - - 1288 - - 1002 - - 1253.5 - - 991 - - '145.00' - - '145.00' - Supplier: - SwiftCode: - UICategory: Payment Instructions - UIName: Swift Code - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - TableDetected: true - Tables: - - GridX: - - 106 - - 212 - - 797 - - 1002 - - 1309 - GridY: - - 775 - - 833 - - 895 - - 958 - GridYPages: - - 0 - - 0 - - 0 - - 0 - HeaderPage: 0 - header: - - 120 - - 720 - - 1293 - - 761 - headernum: 4 - TaxTotal: - UICategory: VAT & Amounts - UIName: Tax Total - UIType: Amount - matches: - - keyword: - - 803 - - 836 - - 980 - - 857 - - 891.5 - - 1052.5 - - Sales Tax 6.25% - - Sales Tax 6.25% - match: 6.2 - matchmulti: Sales Tax 6.25% - page: 0 - value: - - 803 - - 1042 - - 980 - - 1063 - - 891.5 - - 1052.5 - - Sales Tax 6.25% - - Sales Tax 6.25% - Total: - UICategory: VAT & Amounts - UIName: Total - UIType: Amount - matches: - - keyword: - - 872 - - 898 - - 981 - - 931 - - 926.5 - - 1120.5 - - TOTAL - - TOTAL - match: 154.06 - matchmulti: "$ 154.06" - page: 0 - value: - - 1172 - - 1101 - - 1289 - - 1140 - - 1230.5 - - 1120.5 - - "$ 154.06" - - "$ 154.06" - Type: invoice_image - URL: - UICategory: Vendor & Customer - UIName: URL - UIType: Text - matches: - - keyword: - match: - matchmulti: - page: - value: - num_pages: 1 - docId: 7650 - status: COMPLETED - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: The result of the API call - properties: - scandocuments: - type: object - example: { "" } - description: The details of documents - properties: - docId: - type: number - example: 102581 - description: Document ID - status: - type: string - example: COMPLETED - description: Status of staple API - data: - type: object - example: { "" } - description: The details scan document data - properties: - docsize: - type: array - example: [[1990,1490]] - description: An array contain the size info of tempalte - items: - oneOf: - - type: number - example: 1990 - - type: number - example: 1490 - num_pages: - type: number - example: 1 - description: Total pages - customer: - type: string - example: XYZ Buyer - description: Customer name - supplier: - type: string - example: ABC Supplier - description: Supplier name - type: - type: string - example: receipt - description: Type of document - tabledetected: - type: boolean - example: True - description: True if table detected - total: - type: object - example: { "" } - description: Invoice Total amount - subtotal: - type: object - example: { "" } - description: Sub-Total - taxtotal: - type: object - example: { "" } - description: Tax Total - servicecharge: - type: object - example: { "" } - description: ServiceCharge - currency: - type: object - example: { "" } - description: Currency - billingdddress: - type: object - example: { "" } - description: Billing to Address - email: - type: object - example: { "" } - description: Email - url: - type: object - example: { "" } - description: URL - uennumber: - type: object - example: { "" } - description: UENNumber - gstnumber: - type: object - example: { "" } - description: GSTNumber - senderaddress: - type: object - example: { "" } - description: SenderAddress - otherdate: - type: object - example: { "" } - description: OtherDate - lineitems_standardheader: - type: object - example: { "" } - description: LineItems_standardHeader - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 11, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - file - - endpointUrl - properties: - file: - type: string - format: binary - default: true - example: upload file - description: The receipt document - handwritten: - type: string - example: 'false' - description: Specify handwritten true or false. Default is false - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Receipt Scanner + description: |+ + This Computer Vision microservice takes in receipts and extracts meaningful and structured data, including the total amount, tax amount, date and merchant name. + + The API will return a JSON containing all data the could be extracted, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. + version: '0.1.0' + x-subscribelink: receipt_scanner + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Extracts to meaningful and structured data from Receipt docs. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 11, 2021" +paths: + /microservices/cv/scanreceipt/v0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + scanDocuments: + data: + AccountName: + UICategory: Payment Instructions + UIName: Account Name + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + AccountNumber: + UICategory: Payment Instructions + UIName: Account Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + BigBoxes: + - box: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + page: 0 + - box: + - 1148 + - 129 + - 1308 + - 171 + - 1228 + - 150 + - RECEIPT + - RECEIPT + page: 0 + - box: + - 102 + - 208 + - 322 + - 273 + - 212 + - 240.5 + - |- + 1912 Harvest Lane + New York, NY 12210 + - |- + 1912 Harvest Lane + New York , NY 12210 + page: 0 + - box: + - 1232 + - 455 + - 1307 + - 479 + - 1269.5 + - 467 + - US-001 + - US-001 + page: 0 + - box: + - 102 + - 452 + - 322 + - 591 + - 212 + - 521.5 + - |- + Bill To + John Smith + 2 Court Square + New York, NY 12210 + - |- + Bill To + John Smith + 2 Court Square + New York , NY 12210 + page: 0 + - box: + - 529 + - 454 + - 766 + - 595 + - 647.5 + - 524.5 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge , MA 12210 + page: 0 + - box: + - 972 + - 452 + - 1113 + - 531 + - 1042.5 + - 491.5 + - |- + Receipt # + Receipt Date + - |- + Receipt # + Receipt Date + page: 0 + - box: + - 1193 + - 500 + - 1309 + - 527 + - 1251 + - 513.5 + - 11/02/2019 + - 11/02/2019 + page: 0 + - box: + - 1055 + - 553 + - 1114 + - 575 + - 1084.5 + - 564 + - 'PO #' + - 'P.O. #' + page: 0 + - box: + - 1200 + - 553 + - 1310 + - 576 + - 1255 + - 564.5 + - 2312/2019 + - 2312/2019 + page: 0 + - box: + - 1012 + - 600 + - 1112 + - 622 + - 1062 + - 611 + - Due Date + - Due Date + page: 0 + - box: + - 1193 + - 600 + - 1310 + - 623 + - 1251.5 + - 611.5 + - 26/02/2019 + - 26/02/2019 + page: 0 + - box: + - 130 + - 732 + - 178 + - 751 + - 154 + - 741.5 + - QTY + - QTY + page: 0 + - box: + - 422 + - 731 + - 580 + - 752 + - 501 + - 741.5 + - DESCRIPTION + - DESCRIPTION + page: 0 + - box: + - 831 + - 722 + - 962 + - 759 + - 896.5 + - 740.5 + - UNIT PRICE + - UNIT PRICE + page: 0 + - box: + - 1102 + - 730 + - 1205 + - 752 + - 1153.5 + - 741 + - AMOUNT + - AMOUNT + page: 0 + - box: + - 149 + - 793 + - 155 + - 813 + - 152 + - 803 + - '1' + - '1' + page: 0 + - box: + - 229 + - 793 + - 518 + - 816 + - 373.5 + - 804.5 + - Front and rear brake cables + - Front and rear brake cables + page: 0 + - box: + - 911 + - 793 + - 981 + - 814 + - 946 + - 803.5 + - '100.00' + - '100.00' + page: 0 + - box: + - 1220 + - 793 + - 1289 + - 816 + - 1254.5 + - 804.5 + - '100.00' + - '100.00' + page: 0 + - box: + - 148 + - 857 + - 159 + - 876 + - 153.5 + - 866.5 + - '2' + - '2' + page: 0 + - box: + - 229 + - 852 + - 463 + - 884 + - 346 + - 868 + - New set of pedal arms + - New set of pedal arms + page: 0 + - box: + - 925 + - 857 + - 981 + - 879 + - 953 + - 868 + - '15.00' + - '15.00' + page: 0 + - box: + - 1231 + - 856 + - 1290 + - 879 + - 1260.5 + - 867.5 + - '30.00' + - '30.00' + page: 0 + - box: + - 149 + - 920 + - 160 + - 939 + - 154.5 + - 929.5 + - '3' + - '3' + page: 0 + - box: + - 229 + - 918 + - 340 + - 939 + - 284.5 + - 928.5 + - Labor 3hrs + - Labor 3hrs + page: 0 + - box: + - 936 + - 920 + - 980 + - 940 + - 958 + - 930 + - '5.00' + - '5.00' + page: 0 + - box: + - 1233 + - 920 + - 1289 + - 941 + - 1261 + - 930.5 + - '15.00' + - '15.00' + page: 0 + - box: + - 897 + - 981 + - 981 + - 1003 + - 939 + - 992 + - Subtotal + - Subtotal + page: 0 + - box: + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' + page: 0 + - box: + - 803 + - 1042 + - 980 + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + page: 0 + - box: + - 1244 + - 1042 + - 1289 + - 1065 + - 1266.5 + - 1053.5 + - '9.06' + - '9.06' + page: 0 + - box: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + page: 0 + - box: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + page: 0 + - box: + - 102 + - 1728 + - 422 + - 1801 + - 262 + - 1764.5 + - |- + Terms & Conditions + Payment is due within 15 days + - |- + Terms & Conditions + Payment is due within 15 days + page: 0 + - box: + - 104 + - 1841 + - 616 + - 1871 + - 360 + - 1856 + - 'Please make checks payable to: East Repair Inc.' + - 'Please make checks payable to: East Repair Inc.' + page: 0 + BillingAddress: + UICategory: Vendor & Customer + UIName: Billing Address + UIType: Text + matches: + - keyword: + - 102 + - 452 + - 322 + - 591 + - 212 + - 521.5 + - |- + Bill To + John Smith + 2 Court Square + New York, NY 12210 + - |- + Bill To + John Smith + 2 Court Square + New York , NY 12210 + match: |- + John Smith + 2 Court Square + New York, NY 12210 + matchmulti: Bill To John Smith 2 Court Square New York , NY 12210 + page: 0 + value: + - 102 + - 452 + - 322 + - 591 + - 212 + - 521.5 + - |- + Bill To + John Smith + 2 Court Square + New York, NY 12210 + - |- + Bill To + John Smith + 2 Court Square + New York , NY 12210 + CompanyName: + UICategory: Vendor & Customer + UIName: Vendor Name + UIType: Text + matches: + - keyword: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + match: East Repair Inc. + matchmulti: East Repair Inc. + page: 0 + value: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + Currency: + UICategory: VAT & Amounts + UIName: Currency + UIType: Text + matches: + - keyword: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + match: "$" + matchmulti: "$ 154.06" + page: 0 + value: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + Customer: + DetectedText: 'East Repair Inc. RECEIPT 1912 Harvest Lane New York, NY 12210 + US-001 Bill To John Smith 2 Court Square New York, NY 12210 Ship To John Smith + 3787 Pineview Drive Cambridge, MA 12210 Receipt # Receipt Date 11/02/2019 + PO # 2312/2019 Due Date 26/02/2019 QTY DESCRIPTION UNIT PRICE AMOUNT 1 Front + and rear brake cables 100.00 100.00 2 New set of pedal arms 15.00 30.00 3 + Labor 3hrs 5.00 15.00 Subtotal 145.00 Sales Tax 6.25% 9.06 TOTAL $ 154.06 + Terms & Conditions Payment is due within 15 days Please make checks payable + to: East Repair Inc. ' + DocSize: + - - 2000 + - 1413 + Email: + UICategory: Vendor & Customer + UIName: Email + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + Freight: + UICategory: VAT & Amounts + UIName: Freight + UIType: Amount + matches: + - keyword: + match: + matchmulti: + page: + value: + IBAN: + UICategory: Payment Instructions + UIName: IBAN + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + InvoiceDate: + UICategory: Basic Information + UIName: Invoice Date + UIType: Date + matches: + - keyword: + - 972 + - 499 + - 1113 + - 531 + - 1042.5 + - 515 + - Receipt Date + - Receipt Date + match: '2019-11-02' + matchmulti: 11/02/2019 + page: 0 + value: + - 1193 + - 500 + - 1309 + - 527 + - 1251 + - 513.5 + - 11/02/2019 + - 11/02/2019 + InvoiceNumber: + UICategory: Basic Information + UIName: Invoice Number + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + LineItems: + - - 'AMOUNT ': + - '100.00' + 'DESCRIPTION ': + - Front and rear brake cables + 'QTY ': + - '1' + 'UNIT PRICE ': + - '100.00' + - 'AMOUNT ': + - '30.00' + 'DESCRIPTION ': + - New set of pedal arms + 'QTY ': + - '2' + 'UNIT PRICE ': + - '15.00' + - 'AMOUNT ': + - '15.00' + 'DESCRIPTION ': + - Labor 3hrs + 'QTY ': + - '3' + 'UNIT PRICE ': + - '5.00' + LineItems_standardHeader: + - - Description: Front and rear brake cables + LineAmount: 100 + Quantity: 1 + UnitAmount: 100 + - Description: New set of pedal arms + LineAmount: 30 + Quantity: 2 + UnitAmount: 15 + - Description: Labor 3hrs + LineAmount: 15 + Quantity: 3 + UnitAmount: 5 + OtherAddress: + UICategory: Vendor & Customer + UIName: Other Address + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + OtherDate: + UICategory: Basic Information + UIName: Other Date + UIType: Date + matches: + - keyword: + match: + matchmulti: + page: + value: + PONumber: + UICategory: Vendor & Customer + UIName: PO Number + UIType: Text + matches: + - keyword: + - 1055 + - 553 + - 1114 + - 575 + - 1084.5 + - 564 + - 'PO #' + - 'P.O. #' + match: 2312/2019 + matchmulti: 2312/2019 + page: 0 + value: + - 1200 + - 553 + - 1310 + - 576 + - 1255 + - 564.5 + - 2312/2019 + - 2312/2019 + PaymentDate: + UICategory: Basic Information + UIName: Payment Date + UIType: Date + matches: + - keyword: + - 1012 + - 600 + - 1112 + - 622 + - 1062 + - 611 + - Due Date + - Due Date + match: '2019-02-26' + matchmulti: 26/02/2019 + page: 0 + value: + - 1193 + - 600 + - 1310 + - 623 + - 1251.5 + - 611.5 + - 26/02/2019 + - 26/02/2019 + SenderAddress: + UICategory: Vendor & Customer + UIName: Vendor Address + UIType: Text + matches: + - keyword: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + match: East Repair Inc. + matchmulti: East Repair Inc. + page: 0 + value: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + ShippingAddress: + UICategory: Vendor & Customer + UIName: Shipping Address + UIType: Text + matches: + - keyword: + - 529 + - 454 + - 766 + - 595 + - 647.5 + - 524.5 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge , MA 12210 + match: |- + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + matchmulti: Ship To John Smith 3787 Pineview Drive Cambridge , MA 12210 + page: 0 + value: + - 529 + - 454 + - 766 + - 595 + - 647.5 + - 524.5 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge, MA 12210 + - |- + Ship To + John Smith + 3787 Pineview Drive + Cambridge , MA 12210 + SmallBoxes: + - box: + - 106 + - 134 + - 385 + - 174 + - 245.5 + - 154 + - East Repair Inc. + - East Repair Inc. + page: 0 + - box: + - 1148 + - 129 + - 1308 + - 171 + - 1228 + - 150 + - RECEIPT + - RECEIPT + page: 0 + - box: + - 105 + - 208 + - 302 + - 241 + - 203.5 + - 224.5 + - 1912 Harvest Lane + - 1912 Harvest Lane + page: 0 + - box: + - 102 + - 242 + - 322 + - 273 + - 212 + - 257.5 + - New York, NY 12210 + - New York , NY 12210 + page: 0 + - box: + - 1232 + - 455 + - 1307 + - 479 + - 1269.5 + - 467 + - US-001 + - US-001 + page: 0 + - box: + - 104 + - 452 + - 174 + - 481 + - 139 + - 466.5 + - Bill To + - Bill To + page: 0 + - box: + - 103 + - 492 + - 220 + - 524 + - 161.5 + - 508 + - John Smith + - John Smith + page: 0 + - box: + - 103 + - 527 + - 262 + - 559 + - 182.5 + - 543 + - 2 Court Square + - 2 Court Square + page: 0 + - box: + - 102 + - 560 + - 322 + - 591 + - 212 + - 575.5 + - New York, NY 12210 + - New York , NY 12210 + page: 0 + - box: + - 529 + - 454 + - 616 + - 482 + - 572.5 + - 468 + - Ship To + - Ship To + page: 0 + - box: + - 530 + - 494 + - 647 + - 523 + - 588.5 + - 508.5 + - John Smith + - John Smith + page: 0 + - box: + - 530 + - 527 + - 744 + - 555 + - 637 + - 541 + - 3787 Pineview Drive + - 3787 Pineview Drive + page: 0 + - box: + - 529 + - 559 + - 766 + - 595 + - 647.5 + - 577 + - Cambridge, MA 12210 + - Cambridge , MA 12210 + page: 0 + - box: + - 1009 + - 452 + - 1113 + - 483 + - 1061 + - 467.5 + - 'Receipt #' + - 'Receipt #' + page: 0 + - box: + - 972 + - 499 + - 1113 + - 531 + - 1042.5 + - 515 + - Receipt Date + - Receipt Date + page: 0 + - box: + - 1193 + - 500 + - 1309 + - 527 + - 1251 + - 513.5 + - 11/02/2019 + - 11/02/2019 + page: 0 + - box: + - 1055 + - 553 + - 1114 + - 575 + - 1084.5 + - 564 + - 'PO #' + - 'P.O. #' + page: 0 + - box: + - 1200 + - 553 + - 1310 + - 576 + - 1255 + - 564.5 + - 2312/2019 + - 2312/2019 + page: 0 + - box: + - 1012 + - 600 + - 1112 + - 622 + - 1062 + - 611 + - Due Date + - Due Date + page: 0 + - box: + - 1193 + - 600 + - 1310 + - 623 + - 1251.5 + - 611.5 + - 26/02/2019 + - 26/02/2019 + page: 0 + - box: + - 130 + - 732 + - 178 + - 751 + - 154 + - 741.5 + - QTY + - QTY + page: 0 + - box: + - 422 + - 731 + - 580 + - 752 + - 501 + - 741.5 + - DESCRIPTION + - DESCRIPTION + page: 0 + - box: + - 831 + - 722 + - 962 + - 759 + - 896.5 + - 740.5 + - UNIT PRICE + - UNIT PRICE + page: 0 + - box: + - 1102 + - 730 + - 1205 + - 752 + - 1153.5 + - 741 + - AMOUNT + - AMOUNT + page: 0 + - box: + - 149 + - 793 + - 155 + - 813 + - 152 + - 803 + - '1' + - '1' + page: 0 + - box: + - 229 + - 793 + - 518 + - 816 + - 373.5 + - 804.5 + - Front and rear brake cables + - Front and rear brake cables + page: 0 + - box: + - 911 + - 793 + - 981 + - 814 + - 946 + - 803.5 + - '100.00' + - '100.00' + page: 0 + - box: + - 1220 + - 793 + - 1289 + - 816 + - 1254.5 + - 804.5 + - '100.00' + - '100.00' + page: 0 + - box: + - 148 + - 857 + - 159 + - 876 + - 153.5 + - 866.5 + - '2' + - '2' + page: 0 + - box: + - 229 + - 852 + - 463 + - 884 + - 346 + - 868 + - New set of pedal arms + - New set of pedal arms + page: 0 + - box: + - 925 + - 857 + - 981 + - 879 + - 953 + - 868 + - '15.00' + - '15.00' + page: 0 + - box: + - 1231 + - 856 + - 1290 + - 879 + - 1260.5 + - 867.5 + - '30.00' + - '30.00' + page: 0 + - box: + - 149 + - 920 + - 160 + - 939 + - 154.5 + - 929.5 + - '3' + - '3' + page: 0 + - box: + - 229 + - 918 + - 340 + - 939 + - 284.5 + - 928.5 + - Labor 3hrs + - Labor 3hrs + page: 0 + - box: + - 936 + - 920 + - 980 + - 940 + - 958 + - 930 + - '5.00' + - '5.00' + page: 0 + - box: + - 1233 + - 920 + - 1289 + - 941 + - 1261 + - 930.5 + - '15.00' + - '15.00' + page: 0 + - box: + - 897 + - 981 + - 981 + - 1003 + - 939 + - 992 + - Subtotal + - Subtotal + page: 0 + - box: + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' + page: 0 + - box: + - 803 + - 1042 + - 980 + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + page: 0 + - box: + - 1244 + - 1042 + - 1289 + - 1065 + - 1266.5 + - 1053.5 + - '9.06' + - '9.06' + page: 0 + - box: + - 872 + - 1104 + - 981 + - 1137 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + page: 0 + - box: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + page: 0 + - box: + - 102 + - 1728 + - 327 + - 1760 + - 214.5 + - 1744 + - Terms & Conditions + - Terms & Conditions + page: 0 + - box: + - 104 + - 1767 + - 422 + - 1801 + - 263 + - 1784 + - Payment is due within 15 days + - Payment is due within 15 days + page: 0 + - box: + - 104 + - 1841 + - 616 + - 1871 + - 360 + - 1856 + - 'Please make checks payable to: East Repair Inc.' + - 'Please make checks payable to: East Repair Inc.' + page: 0 + Subtotal: + UICategory: VAT & Amounts + UIName: Subtotal + UIType: Amount + matches: + - keyword: + - 897 + - 775 + - 981 + - 797 + - 939 + - 992 + - Subtotal + - Subtotal + match: 145 + matchmulti: '145.00' + page: 0 + value: + - 1219 + - 980 + - 1288 + - 1002 + - 1253.5 + - 991 + - '145.00' + - '145.00' + Supplier: + SwiftCode: + UICategory: Payment Instructions + UIName: Swift Code + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + TableDetected: true + Tables: + - GridX: + - 106 + - 212 + - 797 + - 1002 + - 1309 + GridY: + - 775 + - 833 + - 895 + - 958 + GridYPages: + - 0 + - 0 + - 0 + - 0 + HeaderPage: 0 + header: + - 120 + - 720 + - 1293 + - 761 + headernum: 4 + TaxTotal: + UICategory: VAT & Amounts + UIName: Tax Total + UIType: Amount + matches: + - keyword: + - 803 + - 836 + - 980 + - 857 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + match: 6.2 + matchmulti: Sales Tax 6.25% + page: 0 + value: + - 803 + - 1042 + - 980 + - 1063 + - 891.5 + - 1052.5 + - Sales Tax 6.25% + - Sales Tax 6.25% + Total: + UICategory: VAT & Amounts + UIName: Total + UIType: Amount + matches: + - keyword: + - 872 + - 898 + - 981 + - 931 + - 926.5 + - 1120.5 + - TOTAL + - TOTAL + match: 154.06 + matchmulti: "$ 154.06" + page: 0 + value: + - 1172 + - 1101 + - 1289 + - 1140 + - 1230.5 + - 1120.5 + - "$ 154.06" + - "$ 154.06" + Type: invoice_image + URL: + UICategory: Vendor & Customer + UIName: URL + UIType: Text + matches: + - keyword: + match: + matchmulti: + page: + value: + num_pages: 1 + docId: 7650 + status: COMPLETED + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: The result of the API call + properties: + scandocuments: + type: object + example: { "" } + description: The details of documents + properties: + docId: + type: number + example: 102581 + description: Document ID + status: + type: string + example: COMPLETED + description: Status of staple API + data: + type: object + example: { "" } + description: The details scan document data + properties: + docsize: + type: array + example: [[1990,1490]] + description: An array contain the size info of tempalte + items: + oneOf: + - type: number + example: 1990 + - type: number + example: 1490 + num_pages: + type: number + example: 1 + description: Total pages + customer: + type: string + example: XYZ Buyer + description: Customer name + supplier: + type: string + example: ABC Supplier + description: Supplier name + type: + type: string + example: receipt + description: Type of document + tabledetected: + type: boolean + example: True + description: True if table detected + total: + type: object + example: { "" } + description: Invoice Total amount + subtotal: + type: object + example: { "" } + description: Sub-Total + taxtotal: + type: object + example: { "" } + description: Tax Total + servicecharge: + type: object + example: { "" } + description: ServiceCharge + currency: + type: object + example: { "" } + description: Currency + billingdddress: + type: object + example: { "" } + description: Billing to Address + email: + type: object + example: { "" } + description: Email + url: + type: object + example: { "" } + description: URL + uennumber: + type: object + example: { "" } + description: UENNumber + gstnumber: + type: object + example: { "" } + description: GSTNumber + senderaddress: + type: object + example: { "" } + description: SenderAddress + otherdate: + type: object + example: { "" } + description: OtherDate + lineitems_standardheader: + type: object + example: { "" } + description: LineItems_standardHeader + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 11, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file + - endpointUrl + properties: + file: + type: string + format: binary + default: true + example: upload file + description: The receipt document + handwritten: + type: string + example: 'false' + description: Specify handwritten true or false. Default is false + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 59abd1a21c066e5c373d0c708508041870277e58 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 27 Dec 2021 16:35:08 +0530 Subject: [PATCH 3178/5916] Add files via upload --- data/amenities_hardcourts_hdb_sg.yaml | 514 +- data/amenities_hardcourts_hdb_sg_v0.1.yaml | 514 +- data/amenities_lamp_posts_hdb_sg.yaml | 518 +- data/amenities_lamp_posts_hdb_sg_v0.1.yaml | 518 +- data/amenities_shelters_hdb_sg.yaml | 844 +-- data/amenities_shelters_hdb_sg_v0.1.yaml | 872 +-- data/building_addresses_hdb_sg.yaml | 844 +-- data/building_addresses_hdb_sg_v0.1.yaml | 872 +-- data/carpark_hdb_sg.yaml | 980 ++-- data/carpark_hdb_sg_v0.1.yaml | 1056 ++-- data/commercial_directories_hdb_sg.yaml | 1022 ++-- data/commercial_directories_hdb_sg_v0.1.yaml | 1082 ++-- data/d&b_basic_individual_search_sg.yaml | 2834 +++++----- data/d&b_basic_individual_search_sg_v0.1.yaml | 2654 ++++----- data/d&b_brief_financial_information_sg.yaml | 3228 +++++------ ...b_brief_financial_information_sg_v0.1.yaml | 2846 +++++----- data/d&b_business_check_plus_sg.yaml | 5000 +++++++++-------- data/d&b_business_check_plus_sg_v0.1.yaml | 3450 ++++++------ data/d&b_business_check_sg.yaml | 2974 +++++----- data/d&b_business_check_sg_v0.1.yaml | 2330 ++++---- data/demographics_hdb_sg.yaml | 938 ++-- data/demographics_hdb_sg_v0.1.yaml | 938 ++-- data/directory_of_singapore_startups.yaml | 1120 ++-- .../directory_of_singapore_startups_v0.1.yaml | 1138 ++-- ...tness_stations_and_playgrounds_hdb_sg.yaml | 516 +- ..._stations_and_playgrounds_hdb_sg_v0.1.yaml | 516 +- data/flat_ownership_hdb_sg.yaml | 920 +-- data/flat_ownership_hdb_sg_v0.1.yaml | 940 ++-- data/hdb_amenities_score.yaml | 606 +- data/lidar_trajectory_data.yaml | 754 +-- data/lta_car_park_availability.yaml | 754 +-- .../lta_car_park_availability_historical.yaml | 926 +-- data/lta_faulty_traffic_lights.yaml | 688 +-- data/lta_pv_bus.yaml | 706 +-- data/lta_road_works.yaml | 698 +-- data/lta_traffic_images.yaml | 732 +-- data/lta_traffic_incidents.yaml | 806 +-- data/lta_traffic_speed_bands.yaml | 802 +-- data/lta_traffic_speed_bands_historical.yaml | 972 ++-- data/lta_vms.yaml | 686 +-- data/realtime_weather.yaml | 818 +-- data/residential_sales_and_rental_hdb_sg.yaml | 1022 ++-- ...idential_sales_and_rental_hdb_sg_v0.1.yaml | 1034 ++-- data/season_parking_availability_hdb_sg.yaml | 922 +-- ...ason_parking_availability_hdb_sg_v0.1.yaml | 922 +-- data/train_stations_sg.yaml | 718 +-- data/trajectory_clustering.yaml | 592 +- 47 files changed, 28615 insertions(+), 28521 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index ce9f5242e..48f1cc27b 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -1,256 +1,258 @@ -openapi: 3.0.1 -info: - title: HDB Hardcourts Locations (SG) - x-subscribelink: amenities_hardcourts_hdb_sg - description: |+ - This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - x-additionalinfo: |+ - Suggested Use Cases: - - Real estate services - can be used as a solution to extract information related to the types and number of hardcourts present in an area for people buying or renting a HDB home. - - Download the complete dataset using a pre-signed URL. It's a two steps process - - **Step 1:** Get the pre-signed URL - - Replace the correct x-api-key, and API endpoint - - > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" <\>** - - **Step 2:** Download file - - Using the results.url (i.e) the pre-signed URL to download the dataset - - > **curl --request GET "results.url" >> "FILE_NAME"** - - **Data schema** - - | Name | Type | Size | Description | - |---|---|---|---|---| - | FEATID | Integer | N/A | Feature ID. Unique running number. | - | TYPE | Char | N/A | Captures the type of object. | - | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | - | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | - | INC_CRC | Varchar | 50 | Sub Location Id | - | FMEL_UPD_D | Datetime | N/A | Area of the feature | - | Shape__Length | Float | N/A | Length of the feature | - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/hardcourt/v1/getdata: - get: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - url: "" - status: Success - message: Successfully Processed - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - url: - type: string - description: pre-signed URL to download the file - example: "" - status: - type: string - example: Success - description: The status of the API call. success/failure - message: - type: string - example: Successfully Processed - description: Detail description on the api status - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Hardcourts Locations (SG) + x-subscribelink: amenities_hardcourts_hdb_sg + description: |+ + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. + A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + x-additionalinfo: |+ + Suggested Use Cases: + - Real estate services - can be used as a solution to extract information related to the types and number of hardcourts present in an area for people buying or renting a HDB home. + + Download the complete dataset using a pre-signed URL. It's a two steps process + + **Step 1:** Get the pre-signed URL + + Replace the correct x-api-key, and API endpoint + + > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" <\>** + + **Step 2:** Download file + + Using the results.url (i.e) the pre-signed URL to download the dataset + + > **curl --request GET "results.url" >> "FILE_NAME"** + + **Data schema** + + | Name | Type | Size | Description | + |---|---|---|---|---| + | FEATID | Integer | N/A | Feature ID. Unique running number. | + | TYPE | Char | N/A | Captures the type of object. | + | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | + | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | + | INC_CRC | Varchar | 50 | Sub Location Id | + | FMEL_UPD_D | Datetime | N/A | Area of the feature | + | Shape__Length | Float | N/A | Length of the feature | + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Returns the indicative outline of hardcourts for all Housing Development Board of Singapore. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 15, 2021" +paths: + /microservices/data/hardcourt/v1/getdata: + get: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + url: "" + status: Success + message: Successfully Processed + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + url: + type: string + description: pre-signed URL to download the file + example: "" + status: + type: string + example: Success + description: The status of the API call. success/failure + message: + type: string + example: Successfully Processed + description: Detail description on the api status + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/amenities_hardcourts_hdb_sg_v0.1.yaml b/data/amenities_hardcourts_hdb_sg_v0.1.yaml index 6ac1ad150..f3a573e1e 100644 --- a/data/amenities_hardcourts_hdb_sg_v0.1.yaml +++ b/data/amenities_hardcourts_hdb_sg_v0.1.yaml @@ -1,256 +1,258 @@ -openapi: 3.0.1 -info: - title: HDB Hardcourts Locations (SG) - x-subscribelink: amenities_hardcourts_hdb_sg - description: |+ - This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. - As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - x-additionalinfo: |+ - Suggested Use Cases: - - Real estate services - can be used as a solution to extract information related to the types and number of hardcourts present in an area for people buying or renting a HDB home. - - Download the complete dataset using a pre-signed URL. It's a two steps process - - **Step 1:** Get the pre-signed URL - - Replace the correct x-api-key, and API endpoint - - > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" <\>** - - **Step 2:** Download file - - Using the results.url (i.e) the pre-signed URL to download the dataset - - > **curl --request GET "results.url" >> "FILE_NAME"** - - **Data schema** - - | Name | Type | Size | Description | - |---|---|---|---|---| - | FEATID | Integer | N/A | Feature ID. Unique running number. | - | TYPE | Char | N/A | Captures the type of object. | - | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | - | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | - | INC_CRC | Varchar | 50 | Sub Location Id | - | FMEL_UPD_D | Datetime | N/A | Area of the feature | - | Shape__Length | Float | N/A | Length of the feature | - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Mar 24, 2020" -paths: - /DaaS/prod/hdb/amenities/gs/csv/hardcourt/hdb: - get: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - url: "" - status: Success - message: Successfully Processed - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - url: - type: string - description: pre-signed URL to download the file - example: "" - status: - type: string - example: Success - description: The status of the API call. success/failure - message: - type: string - example: Successfully Processed - description: Detail description on the api status - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Hardcourts Locations (SG) + x-subscribelink: amenities_hardcourts_hdb_sg + description: |+ + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. + As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + x-additionalinfo: |+ + Suggested Use Cases: + - Real estate services - can be used as a solution to extract information related to the types and number of hardcourts present in an area for people buying or renting a HDB home. + + Download the complete dataset using a pre-signed URL. It's a two steps process + + **Step 1:** Get the pre-signed URL + + Replace the correct x-api-key, and API endpoint + + > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" <\>** + + **Step 2:** Download file + + Using the results.url (i.e) the pre-signed URL to download the dataset + + > **curl --request GET "results.url" >> "FILE_NAME"** + + **Data schema** + + | Name | Type | Size | Description | + |---|---|---|---|---| + | FEATID | Integer | N/A | Feature ID. Unique running number. | + | TYPE | Char | N/A | Captures the type of object. | + | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | + | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | + | INC_CRC | Varchar | 50 | Sub Location Id | + | FMEL_UPD_D | Datetime | N/A | Area of the feature | + | Shape__Length | Float | N/A | Length of the feature | + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Returns the indicative outline of hardcourts for all Housing Development Board of Singapore. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 24, 2020" +paths: + /DaaS/prod/hdb/amenities/gs/csv/hardcourt/hdb: + get: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + url: "" + status: Success + message: Successfully Processed + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + url: + type: string + description: pre-signed URL to download the file + example: "" + status: + type: string + example: Success + description: The status of the API call. success/failure + message: + type: string + example: Successfully Processed + description: Detail description on the api status + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index e0f2132f0..7376e5749 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -1,258 +1,260 @@ -openapi: 3.0.1 -info: - title: HDB Lamp Posts Locations (SG) - x-subscribelink: amenities_lamp_posts_hdb_sg - description: |+ - This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - x-additionalinfo: |+ - Suggested Use Cases: - - Real estate services or social service solutions - can be used as a background check solution to extract information related to lampposts present in an area for people with certain preferences when buying or renting a HDB home. For example, the elderly may prefer HDB homes surrounded with more lampposts as they require more aid in terms of lighting when walking home. - - Download the complete dataset using a pre-signed URL. It's a two steps process - - **Step 1:** Get the pre-signed URL - - Replace the correct x-api-key, and API endpoint - - > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" ** - - **Step 2:** Download file - - Using the results.url (i.e) the pre-signed URL to download the dataset - - > **curl --request GET "results.url" >> "FILE_NAME"** - - **Data schema** - - | Name | Type | Size | Description | - |---|---|---|---|---| - | FEATID | Integer | N/A | Feature ID. Unique running number. | - | TYPE | Char | N/A | Captures the type of object. | - | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | - | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | - | INC_CRC | Varchar | 50 | Sub Location Id | - | FMEL_UPD_D | Datetime | N/A | Area of the feature | - | x | Float | N/A | ESRI x coordinate | - | y | Float | N/A | ESRI y coordinate | - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" - -paths: - /microservices/data/lamppost/v1/getdata: - get: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - url: "" - status: Success - message: Successfully Processed - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - url: - type: string - description: pre-signed URL to download the file - example: "" - status: - type: string - example: Success - description: The status of the API call. success/failure - message: - type: string - example: Successfully Processed - description: Detail description on the api status - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Lamp Posts Locations (SG) + x-subscribelink: amenities_lamp_posts_hdb_sg + description: |+ + This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. + A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + x-additionalinfo: |+ + Suggested Use Cases: + - Real estate services or social service solutions - can be used as a background check solution to extract information related to lampposts present in an area for people with certain preferences when buying or renting a HDB home. For example, the elderly may prefer HDB homes surrounded with more lampposts as they require more aid in terms of lighting when walking home. + + Download the complete dataset using a pre-signed URL. It's a two steps process + + **Step 1:** Get the pre-signed URL + + Replace the correct x-api-key, and API endpoint + + > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" ** + + **Step 2:** Download file + + Using the results.url (i.e) the pre-signed URL to download the dataset + + > **curl --request GET "results.url" >> "FILE_NAME"** + + **Data schema** + + | Name | Type | Size | Description | + |---|---|---|---|---| + | FEATID | Integer | N/A | Feature ID. Unique running number. | + | TYPE | Char | N/A | Captures the type of object. | + | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | + | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | + | INC_CRC | Varchar | 50 | Sub Location Id | + | FMEL_UPD_D | Datetime | N/A | Area of the feature | + | x | Float | N/A | ESRI x coordinate | + | y | Float | N/A | ESRI y coordinate | + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Returns the indicative outline of lamp posts for all Housing Development Board of Singapore. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 15, 2021" + +paths: + /microservices/data/lamppost/v1/getdata: + get: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + url: "" + status: Success + message: Successfully Processed + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + url: + type: string + description: pre-signed URL to download the file + example: "" + status: + type: string + example: Success + description: The status of the API call. success/failure + message: + type: string + example: Successfully Processed + description: Detail description on the api status + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/amenities_lamp_posts_hdb_sg_v0.1.yaml b/data/amenities_lamp_posts_hdb_sg_v0.1.yaml index b8f4f8dfc..6a43b29a6 100644 --- a/data/amenities_lamp_posts_hdb_sg_v0.1.yaml +++ b/data/amenities_lamp_posts_hdb_sg_v0.1.yaml @@ -1,258 +1,260 @@ -openapi: 3.0.1 -info: - title: HDB Lamp Posts Locations (SG) - x-subscribelink: amenities_lamp_posts_hdb_sg - description: |+ - This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. - As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - x-additionalinfo: |+ - Suggested Use Cases: - - Real estate services or social service solutions - can be used as a background check solution to extract information related to lampposts present in an area for people with certain preferences when buying or renting a HDB home. For example, the elderly may prefer HDB homes surrounded with more lampposts as they require more aid in terms of lighting when walking home. - - Download the complete dataset using a pre-signed URL. It's a two steps process - - **Step 1:** Get the pre-signed URL - - Replace the correct x-api-key, and API endpoint - - > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" ** - - **Step 2:** Download file - - Using the results.url (i.e) the pre-signed URL to download the dataset - - > **curl --request GET "results.url" >> "FILE_NAME"** - - **Data schema** - - | Name | Type | Size | Description | - |---|---|---|---|---| - | FEATID | Integer | N/A | Feature ID. Unique running number. | - | TYPE | Char | N/A | Captures the type of object. | - | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | - | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | - | INC_CRC | Varchar | 50 | Sub Location Id | - | FMEL_UPD_D | Datetime | N/A | Area of the feature | - | x | Float | N/A | ESRI x coordinate | - | y | Float | N/A | ESRI y coordinate | - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Mar 24, 2020" - -paths: - /DaaS/prod/hdb/amenities/gs/csv/lamppost/hdb: - get: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - url: "" - status: Success - message: Successfully Processed - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - url: - type: string - description: pre-signed URL to download the file - example: "" - status: - type: string - example: Success - description: The status of the API call. success/failure - message: - type: string - example: Successfully Processed - description: Detail description on the api status - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Lamp Posts Locations (SG) + x-subscribelink: amenities_lamp_posts_hdb_sg + description: |+ + This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. + As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + x-additionalinfo: |+ + Suggested Use Cases: + - Real estate services or social service solutions - can be used as a background check solution to extract information related to lampposts present in an area for people with certain preferences when buying or renting a HDB home. For example, the elderly may prefer HDB homes surrounded with more lampposts as they require more aid in terms of lighting when walking home. + + Download the complete dataset using a pre-signed URL. It's a two steps process + + **Step 1:** Get the pre-signed URL + + Replace the correct x-api-key, and API endpoint + + > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" ** + + **Step 2:** Download file + + Using the results.url (i.e) the pre-signed URL to download the dataset + + > **curl --request GET "results.url" >> "FILE_NAME"** + + **Data schema** + + | Name | Type | Size | Description | + |---|---|---|---|---| + | FEATID | Integer | N/A | Feature ID. Unique running number. | + | TYPE | Char | N/A | Captures the type of object. | + | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | + | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | + | INC_CRC | Varchar | 50 | Sub Location Id | + | FMEL_UPD_D | Datetime | N/A | Area of the feature | + | x | Float | N/A | ESRI x coordinate | + | y | Float | N/A | ESRI y coordinate | + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Returns the indicative outline of lamp posts for all Housing Development Board of Singapore. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 24, 2020" + +paths: + /DaaS/prod/hdb/amenities/gs/csv/lamppost/hdb: + get: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + url: "" + status: Success + message: Successfully Processed + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + url: + type: string + description: pre-signed URL to download the file + example: "" + status: + type: string + example: Success + description: The status of the API call. success/failure + message: + type: string + example: Successfully Processed + description: Detail description on the api status + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 7ea3c24bc..651a6350b 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -1,421 +1,423 @@ -openapi: 3.0.1 -info: - title: HDB Block Coordinates (SG) - x-subscribelink: building_addresses_hdb_sg - description: |+ - This Data microservice retrieves information on the Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. Updated monthly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Information from this microservice can be used to build a geo-targeting app with precise map features. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"range":{"block":{"gte":100}}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"street":"avenue 3"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"range":{"block":{"lte":200}}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"ang mo kio street"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"ang mo kio"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":550151}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":[550151,550152]}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"postalcode":{"lte":650347}}} - > {"range":{"postalcode":{"gte":650347}}} - > {"range":{"postalcode":{"gte":650347,"lte":760415}}} - - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"range":{"block":{"gte":100}}}], - > "should":[{"range":{"block":{"lte":200}}}], - > "filter":[{"match_phrase":{"street":"ang mo kio"}}], - > "must_not":[{"match":{"street":"avenue 3"}}] - > } - **Sample Queries Based on Use Cases** - 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** - - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/directories_searchbranch/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":500}}}],"filter":[{"match_phrase":{"street":"serangoon central"}}],"must_not":[{"match":{"postalcode":343534}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 12.08503 - hits: - - _index: sentient_building_directory_index - _type: dir_doc - _id: uLxcqWgBv3dNEHq2Dznn - _score: 12.08503 - _source: - buildingname: nex - postalcode: 556083 - block: '23' - street: serangoon central - location: - lat: 1.350748 - lon: 103.872798 - source: starhub - createddate: '2019-02-01' - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - buildingname: - type: string - description: Building Name - example: "nex" - street: - type: string - description: Street Name of Building - example: "serangoon central" - postalcode: - type: integer - description: Postal code - example: 556083 - block: - type: string - description: Block Number - example: "23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.350748,"lon":103.872798} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.350748 - lon: - type: string - description: WGS84 longitude - example: 103.872798 - source: - type: string - description: Dataset source - example: "hdb" - createddate: - type: string - description: Record first released date on Sentient.io - example: "2019-02-01" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Block Coordinates (SG) + x-subscribelink: building_addresses_hdb_sg + description: |+ + This Data microservice retrieves information on the Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. Updated monthly. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Information from this microservice can be used to build a geo-targeting app with precise map features. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"range":{"block":{"gte":100}}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"street":"avenue 3"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"range":{"block":{"lte":200}}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"ang mo kio street"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"ang mo kio"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":550151}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":[550151,550152]}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"postalcode":{"lte":650347}}} + > {"range":{"postalcode":{"gte":650347}}} + > {"range":{"postalcode":{"gte":650347,"lte":760415}}} + + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{ "field": "postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"range":{"block":{"gte":100}}}], + > "should":[{"range":{"block":{"lte":200}}}], + > "filter":[{"match_phrase":{"street":"ang mo kio"}}], + > "must_not":[{"match":{"street":"avenue 3"}}] + > } + **Sample Queries Based on Use Cases** + 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** + + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} + + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 21, 2021" +paths: + /microservices/data/directories_searchbranch/v1/getdata: + get: + tags: + - v1.0.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "serangoon" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":500}}}],"filter":[{"match_phrase":{"street":"serangoon central"}}],"must_not":[{"match":{"postalcode":343534}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 12.08503 + hits: + - _index: sentient_building_directory_index + _type: dir_doc + _id: uLxcqWgBv3dNEHq2Dznn + _score: 12.08503 + _source: + buildingname: nex + postalcode: 556083 + block: '23' + street: serangoon central + location: + lat: 1.350748 + lon: 103.872798 + source: starhub + createddate: '2019-02-01' + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + buildingname: + type: string + description: Building Name + example: "nex" + street: + type: string + description: Street Name of Building + example: "serangoon central" + postalcode: + type: integer + description: Postal code + example: 556083 + block: + type: string + description: Block Number + example: "23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.350748,"lon":103.872798} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.350748 + lon: + type: string + description: WGS84 longitude + example: 103.872798 + source: + type: string + description: Dataset source + example: "hdb" + createddate: + type: string + description: Record first released date on Sentient.io + example: "2019-02-01" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/amenities_shelters_hdb_sg_v0.1.yaml b/data/amenities_shelters_hdb_sg_v0.1.yaml index fa1ecd895..8b7c7e9a4 100644 --- a/data/amenities_shelters_hdb_sg_v0.1.yaml +++ b/data/amenities_shelters_hdb_sg_v0.1.yaml @@ -1,435 +1,437 @@ -openapi: 3.0.1 -info: - title: HDB Block Coordinates (SG) - x-subscribelink: building_addresses_hdb_sg - description: |+ - This Data microservice retrieves information on the Singapore Housing Development Board building blocks in Singapore that includes addresses, postal code, latitude and longitude coordinates. Updated monthly - - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Information from this microservice can be used to build a geo-targeting app with precise map features. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"range":{"block":{"gte":100}}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"street":"avenue 3"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"range":{"block":{"lte":200}}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - - > {"match":{"street":"serangoon"}} - - * **match_phrase** - Search within a full text field - - > {"match_phrase":{"street":"ang mo kio street"}} - - * **match_phrase_prefix** - Search within a full text field with prefix - - > {"match_phrase_prefix":{"street":"ang mo kio"}} - - * **term** - Returns results that contain an exact term in a provided field - - > {"term":{"postalcode":"550151"}} - - * **terms** - Returns results that contain one or more exact terms in a provided field - - > {"terms":{"postalcode":["550151","550152"]}} - - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"postalcode":{"lte":650347}}} - > {"range":{"postalcode":{"gte":650347}}} - > {"range":{"postalcode":{"gte":650347,"lte":760415}}} - - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postalcode"}} - - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"range":{"block":{"gte":100}}}], - > "should":[{"range":{"block":{"lte":200}}}], - > "filter":[{"match_phrase":{"street":"ang mo kio"}}], - > "must_not":[{"match":{"street":"avenue 3"}}] - > } - - - **Sample Queries Based on Use Cases** - 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** - - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Nov 25, 2019" -paths: - /DaaS/prod/directories/searchbranch: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":200}}}],"filter":[{"match_phrase":{"street":"ang mo kio"}}],"must_not":[{"match":{"street":"avenue 3"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 12.08503 - hits: - - _index: sentient_directory_building_index - _type: dir_doc - _id: uLxcqWgBv3dNEHq2Dznn - _score: 12.08503 - _source: - buildingname: nex - postalcode: '556083' - block: '23' - street: serangoon central - location: - lat: 1.350748 - lon: 103.872798 - source: starhub - createddate: '2019-02-01' - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: integer - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - buildingname: - type: string - description: Building Name - example: "nex" - street: - type: string - description: Street Name of Building - example: "serangoon central" - postalcode: - type: string - description: Postal code - example: "556083" - block: - type: string - description: Block Number - example: "23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.350748,"lon":103.872798} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.350748 - lon: - type: string - description: WGS84 longitude - example: 103.872798 - source: - type: string - description: Dataset source - example: "hdb" - createddate: - type: string - description: Record first released date on Sentient.io - example: "2019-02-01" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Block Coordinates (SG) + x-subscribelink: building_addresses_hdb_sg + description: |+ + This Data microservice retrieves information on the Singapore Housing Development Board building blocks in Singapore that includes addresses, postal code, latitude and longitude coordinates. Updated monthly + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Information from this microservice can be used to build a geo-targeting app with precise map features. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"range":{"block":{"gte":100}}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"street":"avenue 3"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"range":{"block":{"lte":200}}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + + > {"match":{"street":"serangoon"}} + + * **match_phrase** - Search within a full text field + + > {"match_phrase":{"street":"ang mo kio street"}} + + * **match_phrase_prefix** - Search within a full text field with prefix + + > {"match_phrase_prefix":{"street":"ang mo kio"}} + + * **term** - Returns results that contain an exact term in a provided field + + > {"term":{"postalcode":"550151"}} + + * **terms** - Returns results that contain one or more exact terms in a provided field + + > {"terms":{"postalcode":["550151","550152"]}} + + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"postalcode":{"lte":650347}}} + > {"range":{"postalcode":{"gte":650347}}} + > {"range":{"postalcode":{"gte":650347,"lte":760415}}} + + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{ "field": "postalcode"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"range":{"block":{"gte":100}}}], + > "should":[{"range":{"block":{"lte":200}}}], + > "filter":[{"match_phrase":{"street":"ang mo kio"}}], + > "must_not":[{"match":{"street":"avenue 3"}}] + > } + + + **Sample Queries Based on Use Cases** + 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** + + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Nov 25, 2019" +paths: + /DaaS/prod/directories/searchbranch: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "serangoon" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":200}}}],"filter":[{"match_phrase":{"street":"ang mo kio"}}],"must_not":[{"match":{"street":"avenue 3"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 12.08503 + hits: + - _index: sentient_directory_building_index + _type: dir_doc + _id: uLxcqWgBv3dNEHq2Dznn + _score: 12.08503 + _source: + buildingname: nex + postalcode: '556083' + block: '23' + street: serangoon central + location: + lat: 1.350748 + lon: 103.872798 + source: starhub + createddate: '2019-02-01' + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: integer + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + buildingname: + type: string + description: Building Name + example: "nex" + street: + type: string + description: Street Name of Building + example: "serangoon central" + postalcode: + type: string + description: Postal code + example: "556083" + block: + type: string + description: Block Number + example: "23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.350748,"lon":103.872798} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.350748 + lon: + type: string + description: WGS84 longitude + example: 103.872798 + source: + type: string + description: Dataset source + example: "hdb" + createddate: + type: string + description: Record first released date on Sentient.io + example: "2019-02-01" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 63e05c427..d7f33ae95 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -1,421 +1,423 @@ -openapi: 3.0.1 -info: - title: HDB Block Coordinates (SG) - x-subscribelink: building_addresses_hdb_sg - description: |+ - This Data microservice retrieves information on the Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. Updated monthly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Information from this microservice can be used to build a geo-targeting app with precise map features. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"range":{"block":{"gte":100}}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"street":"avenue 3"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"range":{"block":{"lte":200}}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"ang mo kio street"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"ang mo kio"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":550151}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":[550151,550152]}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"postalcode":{"lte":650347}}} - > {"range":{"postalcode":{"gte":650347}}} - > {"range":{"postalcode":{"gte":650347,"lte":760415}}} - - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"range":{"block":{"gte":100}}}], - > "should":[{"range":{"block":{"lte":200}}}], - > "filter":[{"match_phrase":{"street":"ang mo kio"}}], - > "must_not":[{"match":{"street":"avenue 3"}}] - > } - **Sample Queries Based on Use Cases** - 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** - - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 20000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/directories_searchbranch/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":500}}}],"filter":[{"match_phrase":{"street":"serangoon central"}}],"must_not":[{"match":{"postalcode":343534}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 12.08503 - hits: - - _index: sentient_building_directory_index - _type: dir_doc - _id: uLxcqWgBv3dNEHq2Dznn - _score: 12.08503 - _source: - buildingname: nex - postalcode: 556083 - block: '23' - street: serangoon central - location: - lat: 1.350748 - lon: 103.872798 - source: starhub - createddate: 'Feb 01, 2019' - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - buildingname: - type: string - description: Building Name - example: "nex" - street: - type: string - description: Street Name of Building - example: "serangoon central" - postalcode: - type: integer - description: Postal code - example: 556083 - block: - type: string - description: Block Number - example: "23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.350748,"lon":103.872798} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.350748 - lon: - type: string - description: WGS84 longitude - example: 103.872798 - source: - type: string - description: Dataset source - example: "hdb" - createddate: - type: string - description: Record first released date on Sentient.io - example: "Feb 01, 2019" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Block Coordinates (SG) + x-subscribelink: building_addresses_hdb_sg + description: |+ + This Data microservice retrieves information on the Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. Updated monthly. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Information from this microservice can be used to build a geo-targeting app with precise map features. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"range":{"block":{"gte":100}}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"street":"avenue 3"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"range":{"block":{"lte":200}}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"ang mo kio street"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"ang mo kio"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":550151}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":[550151,550152]}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"postalcode":{"lte":650347}}} + > {"range":{"postalcode":{"gte":650347}}} + > {"range":{"postalcode":{"gte":650347,"lte":760415}}} + + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{ "field": "postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"range":{"block":{"gte":100}}}], + > "should":[{"range":{"block":{"lte":200}}}], + > "filter":[{"match_phrase":{"street":"ang mo kio"}}], + > "must_not":[{"match":{"street":"avenue 3"}}] + > } + **Sample Queries Based on Use Cases** + 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** + + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} + + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 21, 2021" +paths: + /microservices/data/directories_searchbranch/v1/getdata: + get: + tags: + - v1.0.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "serangoon" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":500}}}],"filter":[{"match_phrase":{"street":"serangoon central"}}],"must_not":[{"match":{"postalcode":343534}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 12.08503 + hits: + - _index: sentient_building_directory_index + _type: dir_doc + _id: uLxcqWgBv3dNEHq2Dznn + _score: 12.08503 + _source: + buildingname: nex + postalcode: 556083 + block: '23' + street: serangoon central + location: + lat: 1.350748 + lon: 103.872798 + source: starhub + createddate: 'Feb 01, 2019' + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + buildingname: + type: string + description: Building Name + example: "nex" + street: + type: string + description: Street Name of Building + example: "serangoon central" + postalcode: + type: integer + description: Postal code + example: 556083 + block: + type: string + description: Block Number + example: "23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.350748,"lon":103.872798} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.350748 + lon: + type: string + description: WGS84 longitude + example: 103.872798 + source: + type: string + description: Dataset source + example: "hdb" + createddate: + type: string + description: Record first released date on Sentient.io + example: "Feb 01, 2019" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/building_addresses_hdb_sg_v0.1.yaml b/data/building_addresses_hdb_sg_v0.1.yaml index 480ee4bf9..1ac815cc6 100644 --- a/data/building_addresses_hdb_sg_v0.1.yaml +++ b/data/building_addresses_hdb_sg_v0.1.yaml @@ -1,435 +1,437 @@ -openapi: 3.0.1 -info: - title: HDB Block Coordinates (SG) - x-subscribelink: building_addresses_hdb_sg - description: |+ - This Data microservice retrieves information on the Singapore Housing Development Board building blocks in Singapore that includes addresses, postal code, latitude and longitude coordinates. Updated monthly - - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Information from this microservice can be used to build a geo-targeting app with precise map features. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"range":{"block":{"gte":100}}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"street":"avenue 3"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"range":{"block":{"lte":200}}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - - > {"match":{"street":"serangoon"}} - - * **match_phrase** - Search within a full text field - - > {"match_phrase":{"street":"ang mo kio street"}} - - * **match_phrase_prefix** - Search within a full text field with prefix - - > {"match_phrase_prefix":{"street":"ang mo kio"}} - - * **term** - Returns results that contain an exact term in a provided field - - > {"term":{"postalcode":"550151"}} - - * **terms** - Returns results that contain one or more exact terms in a provided field - - > {"terms":{"postalcode":["550151","550152"]}} - - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"postalcode":{"lte":650347}}} - > {"range":{"postalcode":{"gte":650347}}} - > {"range":{"postalcode":{"gte":650347,"lte":760415}}} - - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postalcode"}} - - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"range":{"block":{"gte":100}}}], - > "should":[{"range":{"block":{"lte":200}}}], - > "filter":[{"match_phrase":{"street":"ang mo kio"}}], - > "must_not":[{"match":{"street":"avenue 3"}}] - > } - - - **Sample Queries Based on Use Cases** - 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** - - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Nov 25, 2019" -paths: - /DaaS/prod/directories/searchbranch: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":200}}}],"filter":[{"match_phrase":{"street":"ang mo kio"}}],"must_not":[{"match":{"street":"avenue 3"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 12.08503 - hits: - - _index: sentient_directory_building_index - _type: dir_doc - _id: uLxcqWgBv3dNEHq2Dznn - _score: 12.08503 - _source: - buildingname: nex - postalcode: '556083' - block: '23' - street: serangoon central - location: - lat: 1.350748 - lon: 103.872798 - source: starhub - createddate: 'Feb 01, 2019' - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: integer - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - buildingname: - type: string - description: Building Name - example: "nex" - street: - type: string - description: Street Name of Building - example: "serangoon central" - postalcode: - type: string - description: Postal code - example: "556083" - block: - type: string - description: Block Number - example: "23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.350748,"lon":103.872798} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.350748 - lon: - type: string - description: WGS84 longitude - example: 103.872798 - source: - type: string - description: Dataset source - example: "hdb" - createddate: - type: string - description: Record first released date on Sentient.io - example: "Feb 01, 2019" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Block Coordinates (SG) + x-subscribelink: building_addresses_hdb_sg + description: |+ + This Data microservice retrieves information on the Singapore Housing Development Board building blocks in Singapore that includes addresses, postal code, latitude and longitude coordinates. Updated monthly + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Information from this microservice can be used to build a geo-targeting app with precise map features. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"range":{"block":{"gte":100}}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"street":"avenue 3"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"range":{"block":{"lte":200}}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + + > {"match":{"street":"serangoon"}} + + * **match_phrase** - Search within a full text field + + > {"match_phrase":{"street":"ang mo kio street"}} + + * **match_phrase_prefix** - Search within a full text field with prefix + + > {"match_phrase_prefix":{"street":"ang mo kio"}} + + * **term** - Returns results that contain an exact term in a provided field + + > {"term":{"postalcode":"550151"}} + + * **terms** - Returns results that contain one or more exact terms in a provided field + + > {"terms":{"postalcode":["550151","550152"]}} + + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"postalcode":{"lte":650347}}} + > {"range":{"postalcode":{"gte":650347}}} + > {"range":{"postalcode":{"gte":650347,"lte":760415}}} + + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{ "field": "postalcode"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"range":{"block":{"gte":100}}}], + > "should":[{"range":{"block":{"lte":200}}}], + > "filter":[{"match_phrase":{"street":"ang mo kio"}}], + > "must_not":[{"match":{"street":"avenue 3"}}] + > } + + + **Sample Queries Based on Use Cases** + 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** + + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Nov 25, 2019" +paths: + /DaaS/prod/directories/searchbranch: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "serangoon" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":200}}}],"filter":[{"match_phrase":{"street":"ang mo kio"}}],"must_not":[{"match":{"street":"avenue 3"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 12.08503 + hits: + - _index: sentient_directory_building_index + _type: dir_doc + _id: uLxcqWgBv3dNEHq2Dznn + _score: 12.08503 + _source: + buildingname: nex + postalcode: '556083' + block: '23' + street: serangoon central + location: + lat: 1.350748 + lon: 103.872798 + source: starhub + createddate: 'Feb 01, 2019' + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: integer + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + buildingname: + type: string + description: Building Name + example: "nex" + street: + type: string + description: Street Name of Building + example: "serangoon central" + postalcode: + type: string + description: Postal code + example: "556083" + block: + type: string + description: Block Number + example: "23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.350748,"lon":103.872798} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.350748 + lon: + type: string + description: WGS84 longitude + example: 103.872798 + source: + type: string + description: Dataset source + example: "hdb" + createddate: + type: string + description: Record first released date on Sentient.io + example: "Feb 01, 2019" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 9dc9c1b5e..2d23d0e11 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -1,489 +1,491 @@ -openapi: 3.0.1 -info: - title: HDB Carpark Locations (SG) - x-subscribelink: carpark_hdb_sg - description: |+ - This Data microservice retrieves the Housing Development Board (HDB) carpark information within HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Geo-targeting app with map feature, property development planning resource, or planning for vehicle-sharing app. - - Real estate services - can be used as a background check solution to extract information related to the types and number of carparks present in an area for people with certain preferences when buying or renting a HDB home. - - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - > {"must":[{"match":{"mc":0}}]} - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":570251}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"ang mo kio"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"street":"bishan"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - **Match Types:** - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"bishan"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"bishan street 24"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"bishan street 24"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"cpk_no":"ak19"}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"cpk_no":["ak19","be33"]}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"car":{"gte":100}}} - > {"range":{"car":{"lte":500}}} - > {"range":{"car":{"gte":100,"lte":500}}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match":{"mc":0}}], - > "filter":[{"match":{"street":"bishan"}}], - > "should":[{"match_phrase":{"street":"ang mo kio"}}], - > "must_not":[{"match":{"postalcode":570251}}] - > } - **Sample Queries Based on Use Cases** - 1. **Search for all carparks around 414 Bedok North Road** - Using a querystring only: - - > querystring = "414 bedok north road" - 2. **Search for all carparks within a 1KM radius from Tampines Mall** - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} - - 3. **Search for all carparks around Tampines with motorcycle parking** - Using both querystring + filterdata: - - > querystring = tampines - > filterdata = {"filter":[ {"range":{"mc":{"gte":1}}} ]} - - 4. **Search for all lorry parking lots for Bishan Street 22** - - Using both querystring + filterdata: - - > querystring = "bishan street 22" - > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/carpark/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: BE33 - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match":{"mc":0}}],"filter":[{"match":{"street":"BISHAN STREET 22"}}],"should":[{"match_phrase":{"street":"BISHAN"}}],"must_not":[{"match":{"postalcode":456454}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 7.510164 - hits: - - _index: sentient_hdb_carpark_index - _type: dir_doc - _id: BE37 - _score: 7.510164 - _source: - cpk_no: BE37 - block: BLK 282 - street: BISHAN STREET 22 - address: BLK 282 BISHAN STREET 22 - source: hdb - xcoord: '29235.553' - ycoord: '37787.1371' - car: 402 - lorry: 40 - mc: 0 - createddate: '2020-09-11' - lastupdated: '2020-09-11' - location: - lat: 1.3580079412271227 - lon: 103.84442083770412 - postalcode: - - 570278 - - 570279 - - 570280 - - 570281 - - 570282 - - 570283 - - 570284 - - 570285 - - 570286 - - 570287 - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - cpk_no: - type: string - description: Carpark Number - example: AK19 - block: - type: string - description: Address block no - example: "BLOCK 253" - street: - type: string - description: Address street or building name - example: "ANG MO KIO STREET 21" - address: - type: string - description: Address full address - example: "BLOCK 253 ANG MO KIO STREET 21" - source: - type: string - description: Dataset source - example: "hdb" - postalcode: - type: array - description: List of postal code - example: [570253, 570254] - items: - type: integer - description: postal code - example: 570253 - xcoord: - type: string - description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: 28185.4359 - ycoord: - type: string - description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: 39012.6664 - location: - type: object - description: WGS84 (World Geodetic System) lat/long coordinates. This is the standard coordinate system used Global Positioning System (GPS). - example: {"lat":1.364299477060462,"lon":103.8350609414261} - properties: - lat: - type: string - description: WGS84 (GPS) latitude - example: 1.37179535 - lon: - type: string - description: WGS84 (GPS) longitude - example: 103.8469821 - car: - type: integer - description: Number of car parking lots - example: 18 - lorry: - type: integer - description: Number of lorry parking lots - example: 6 - mc: - type: integer - description: Number of motorcycle parking lots - example: 0 - createddate: - type: string - description: Record first release date on sentient - example: "2019-10-17" - lastupdated: - type: string - description: Record last updated date on sentient - example: "2019-10-17" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 15,2020 - x-details: |+ - The following additional fields are added: - 1. postalcode - list of postal code - 2. location - lat / log of the carpark park - description: Depreciating on May 20, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Carpark Locations (SG) + x-subscribelink: carpark_hdb_sg + description: |+ + This Data microservice retrieves the Housing Development Board (HDB) carpark information within HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Geo-targeting app with map feature, property development planning resource, or planning for vehicle-sharing app. + - Real estate services - can be used as a background check solution to extract information related to the types and number of carparks present in an area for people with certain preferences when buying or renting a HDB home. + - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + > {"must":[{"match":{"mc":0}}]} + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":570251}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"ang mo kio"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match":{"street":"bishan"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + **Match Types:** + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"bishan"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"bishan street 24"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"bishan street 24"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"cpk_no":"ak19"}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"cpk_no":["ak19","be33"]}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"car":{"gte":100}}} + > {"range":{"car":{"lte":500}}} + > {"range":{"car":{"gte":100,"lte":500}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{ "field": "postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match":{"mc":0}}], + > "filter":[{"match":{"street":"bishan"}}], + > "should":[{"match_phrase":{"street":"ang mo kio"}}], + > "must_not":[{"match":{"postalcode":570251}}] + > } + **Sample Queries Based on Use Cases** + 1. **Search for all carparks around 414 Bedok North Road** + Using a querystring only: + + > querystring = "414 bedok north road" + 2. **Search for all carparks within a 1KM radius from Tampines Mall** + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} + + 3. **Search for all carparks around Tampines with motorcycle parking** + Using both querystring + filterdata: + + > querystring = tampines + > filterdata = {"filter":[ {"range":{"mc":{"gte":1}}} ]} + + 4. **Search for all lorry parking lots for Bishan Street 22** + + Using both querystring + filterdata: + + > querystring = "bishan street 22" + > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves Housing Development Board (HDB) carpark information. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 21, 2021" +paths: + /microservices/data/carpark/v1/getdata: + get: + tags: + - v1.0.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: BE33 + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match":{"mc":0}}],"filter":[{"match":{"street":"BISHAN STREET 22"}}],"should":[{"match_phrase":{"street":"BISHAN"}}],"must_not":[{"match":{"postalcode":456454}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 7.510164 + hits: + - _index: sentient_hdb_carpark_index + _type: dir_doc + _id: BE37 + _score: 7.510164 + _source: + cpk_no: BE37 + block: BLK 282 + street: BISHAN STREET 22 + address: BLK 282 BISHAN STREET 22 + source: hdb + xcoord: '29235.553' + ycoord: '37787.1371' + car: 402 + lorry: 40 + mc: 0 + createddate: '2020-09-11' + lastupdated: '2020-09-11' + location: + lat: 1.3580079412271227 + lon: 103.84442083770412 + postalcode: + - 570278 + - 570279 + - 570280 + - 570281 + - 570282 + - 570283 + - 570284 + - 570285 + - 570286 + - 570287 + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + cpk_no: + type: string + description: Carpark Number + example: AK19 + block: + type: string + description: Address block no + example: "BLOCK 253" + street: + type: string + description: Address street or building name + example: "ANG MO KIO STREET 21" + address: + type: string + description: Address full address + example: "BLOCK 253 ANG MO KIO STREET 21" + source: + type: string + description: Dataset source + example: "hdb" + postalcode: + type: array + description: List of postal code + example: [570253, 570254] + items: + type: integer + description: postal code + example: 570253 + xcoord: + type: string + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) + example: 28185.4359 + ycoord: + type: string + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) + example: 39012.6664 + location: + type: object + description: WGS84 (World Geodetic System) lat/long coordinates. This is the standard coordinate system used Global Positioning System (GPS). + example: {"lat":1.364299477060462,"lon":103.8350609414261} + properties: + lat: + type: string + description: WGS84 (GPS) latitude + example: 1.37179535 + lon: + type: string + description: WGS84 (GPS) longitude + example: 103.8469821 + car: + type: integer + description: Number of car parking lots + example: 18 + lorry: + type: integer + description: Number of lorry parking lots + example: 6 + mc: + type: integer + description: Number of motorcycle parking lots + example: 0 + createddate: + type: string + description: Record first release date on sentient + example: "2019-10-17" + lastupdated: + type: string + description: Record last updated date on sentient + example: "2019-10-17" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 15,2020 + x-details: |+ + The following additional fields are added: + 1. postalcode - list of postal code + 2. location - lat / log of the carpark park + description: Depreciating on May 20, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/carpark_hdb_sg_v0.1.yaml b/data/carpark_hdb_sg_v0.1.yaml index 1be47bff9..fa53da4b5 100644 --- a/data/carpark_hdb_sg_v0.1.yaml +++ b/data/carpark_hdb_sg_v0.1.yaml @@ -1,527 +1,529 @@ -openapi: 3.0.1 -info: - title: HDB Carpark Locations (SG) - x-subscribelink: carpark_hdb_sg - description: |+ - This Data microservice retrieves the Singapore Housing Development Board's carpark information within Singapore HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly. - - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Geo-targeting app with map feature, property development planning resource, or planning for vehicle-sharing app. - - - Real estate services - can be used as a background check solution to extract information related to the types and number of carparks present in an area for people with certain preferences when buying or renting a HDB home. - - - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match":{"mc":0}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - - > {"must_not":[{"match":{"postalcode":"570251"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - - > {"should":[{"match_phrase":{"street":"ang mo kio"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - - > {"filter":[{"match":{"street":"bishan"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - - > {"match":{"street":"bishan"}} - - * **match_phrase** - Search within a full text field - - > {"match_phrase":{"street":"bishan street 24"}} - - * **match_phrase_prefix** - Search within a full text field with prefix - - > {"match_phrase_prefix":{"street":"bishan street 24"}} - - * **term** - Returns results that contain an exact term in a provided field - - > {"term":{"cpk_no":"ak19"}} - - * **terms** - Returns results that contain one or more exact terms in a provided field - - > {"terms":{"cpk_no":["ak19","be33"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"car":{"gte":100}}} - > {"range":{"car":{"lte":500}}} - > {"range":{"car":{"gte":100,"lte":500}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field": "postalcode"}} - - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match":{"mc":0}}], - > "filter":[{"match":{"street":"bishan"}}], - > "should":[{"match_phrase":{"street":"ang mo kio"}}], - > "must_not":[{"match":{"postalcode":"570251"}}] - > } - - **Sample Queries Based on Use Cases** - - 1. **Search for all carparks around 414 Bedok North Road** - - Using a querystring only: - - > querystring = "414 bedok north road" - - 2. **Search for all carparks within a 1KM radius from Tampines Mall** - - Using a filterdata only: - - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} - - 3. **Search for all carparks around Tampines with motorcycle parking** - - Using both querystring + filterdata: - - > querystring = tampines - > filterdata = {"filter":[ {"range":{"mc":{"gte":1}}} ]} - - 4. **Search for all lorry parking lots for Bishan Street 22** - - Using both querystring + filterdata: - - > querystring = "bishan street 22" - > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} - - version: '0.2.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.2.0" - description: "Published Date - Sep 15, 2020" -paths: - /DaaS/prod/hdb/carpark: - get: - tags: - - v0.2.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: BE33 - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - - * must - * must_not - * should - * filter - - default: false - example: |+ - {"must":[{"match":{"mc":0}}],"filter":[{"match":{"street":"bishan"}}],"should":[{"match_phrase":{"street":"ang mo kio"}}],"must_not":[{"match":{"postalcode":"570251"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 7.510164 - hits: - - _index: sentient_carpark_hdb_index - _type: dir_doc - _id: BE37 - _score: 7.510164 - _source: - cpk_no: BE37 - block: BLK 282 - street: BISHAN STREET 22 - address: BLK 282 BISHAN STREET 22 - source: hdb - xcoord: '29235.553' - ycoord: '37787.1371' - car: 402 - lorry: 40 - mc: 0 - createddate: '2020-09-11' - lastupdated: '2020-09-11' - location: - lat: 1.3580079412271227 - lon: 103.84442083770412 - postalcode: - - '570278' - - '570279' - - '570280' - - '570281' - - '570282' - - '570283' - - '570284' - - '570285' - - '570286' - - '570287' - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - cpk_no: - type: string - description: Carpark Number - example: AK19 - block: - type: string - description: Address block no - example: "BLOCK 253" - street: - type: string - description: Address street or building name - example: "ANG MO KIO STREET 21" - address: - type: string - description: Address full address - example: "BLOCK 253 ANG MO KIO STREET 21" - source: - type: string - description: Dataset source - example: "hdb" - postalcode: - type: array - description: List of postal code - example: ["570253", "570254"] - items: - type: string - description: postal code - example: "570253" - xcoord: - type: string - description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: 28185.4359 - ycoord: - type: string - description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: 39012.6664 - location: - type: object - description: WGS84 (World Geodetic System) lat/long coordinates. This is the standard coordinate system used Global Positioning System (GPS). - example: {"lat":1.364299477060462,"lon":103.8350609414261} - properties: - lat: - type: string - description: WGS84 (GPS) latitude - example: 1.37179535 - lon: - type: string - description: WGS84 (GPS) longitude - example: 103.8469821 - car: - type: integer - description: Number of car parking lots - example: 18 - lorry: - type: integer - description: Number of lorry parking lots - example: 6 - mc: - type: integer - description: Number of motorcycle parking lots - example: 0 - createddate: - type: string - description: Record first release date on sentient - example: "2019-10-17" - lastupdated: - type: string - description: Record last updated date on sentient - example: "2019-10-17" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: optimized release - description: Latest Version - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 15,2020 - x-details: |+ - The following additional fields are added: - 1. postalcode - list of postal code - 2. location - lat / log of the carpark park - description: Depreciating on May 20, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Carpark Locations (SG) + x-subscribelink: carpark_hdb_sg + description: |+ + This Data microservice retrieves the Singapore Housing Development Board's carpark information within Singapore HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Geo-targeting app with map feature, property development planning resource, or planning for vehicle-sharing app. + + - Real estate services - can be used as a background check solution to extract information related to the types and number of carparks present in an area for people with certain preferences when buying or renting a HDB home. + + - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match":{"mc":0}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + + > {"must_not":[{"match":{"postalcode":"570251"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + + > {"should":[{"match_phrase":{"street":"ang mo kio"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + + > {"filter":[{"match":{"street":"bishan"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + + > {"match":{"street":"bishan"}} + + * **match_phrase** - Search within a full text field + + > {"match_phrase":{"street":"bishan street 24"}} + + * **match_phrase_prefix** - Search within a full text field with prefix + + > {"match_phrase_prefix":{"street":"bishan street 24"}} + + * **term** - Returns results that contain an exact term in a provided field + + > {"term":{"cpk_no":"ak19"}} + + * **terms** - Returns results that contain one or more exact terms in a provided field + + > {"terms":{"cpk_no":["ak19","be33"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"car":{"gte":100}}} + > {"range":{"car":{"lte":500}}} + > {"range":{"car":{"gte":100,"lte":500}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postalcode"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match":{"mc":0}}], + > "filter":[{"match":{"street":"bishan"}}], + > "should":[{"match_phrase":{"street":"ang mo kio"}}], + > "must_not":[{"match":{"postalcode":"570251"}}] + > } + + **Sample Queries Based on Use Cases** + + 1. **Search for all carparks around 414 Bedok North Road** + + Using a querystring only: + + > querystring = "414 bedok north road" + + 2. **Search for all carparks within a 1KM radius from Tampines Mall** + + Using a filterdata only: + + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} + + 3. **Search for all carparks around Tampines with motorcycle parking** + + Using both querystring + filterdata: + + > querystring = tampines + > filterdata = {"filter":[ {"range":{"mc":{"gte":1}}} ]} + + 4. **Search for all lorry parking lots for Bishan Street 22** + + Using both querystring + filterdata: + + > querystring = "bishan street 22" + > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} + + version: '0.2.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves Housing Development Board (HDB) carpark information. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.2.0" + description: "Published Date - Sep 15, 2020" +paths: + /DaaS/prod/hdb/carpark: + get: + tags: + - v0.2.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: BE33 + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + + * must + * must_not + * should + * filter + + default: false + example: |+ + {"must":[{"match":{"mc":0}}],"filter":[{"match":{"street":"bishan"}}],"should":[{"match_phrase":{"street":"ang mo kio"}}],"must_not":[{"match":{"postalcode":"570251"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 7.510164 + hits: + - _index: sentient_carpark_hdb_index + _type: dir_doc + _id: BE37 + _score: 7.510164 + _source: + cpk_no: BE37 + block: BLK 282 + street: BISHAN STREET 22 + address: BLK 282 BISHAN STREET 22 + source: hdb + xcoord: '29235.553' + ycoord: '37787.1371' + car: 402 + lorry: 40 + mc: 0 + createddate: '2020-09-11' + lastupdated: '2020-09-11' + location: + lat: 1.3580079412271227 + lon: 103.84442083770412 + postalcode: + - '570278' + - '570279' + - '570280' + - '570281' + - '570282' + - '570283' + - '570284' + - '570285' + - '570286' + - '570287' + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + cpk_no: + type: string + description: Carpark Number + example: AK19 + block: + type: string + description: Address block no + example: "BLOCK 253" + street: + type: string + description: Address street or building name + example: "ANG MO KIO STREET 21" + address: + type: string + description: Address full address + example: "BLOCK 253 ANG MO KIO STREET 21" + source: + type: string + description: Dataset source + example: "hdb" + postalcode: + type: array + description: List of postal code + example: ["570253", "570254"] + items: + type: string + description: postal code + example: "570253" + xcoord: + type: string + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) + example: 28185.4359 + ycoord: + type: string + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) + example: 39012.6664 + location: + type: object + description: WGS84 (World Geodetic System) lat/long coordinates. This is the standard coordinate system used Global Positioning System (GPS). + example: {"lat":1.364299477060462,"lon":103.8350609414261} + properties: + lat: + type: string + description: WGS84 (GPS) latitude + example: 1.37179535 + lon: + type: string + description: WGS84 (GPS) longitude + example: 103.8469821 + car: + type: integer + description: Number of car parking lots + example: 18 + lorry: + type: integer + description: Number of lorry parking lots + example: 6 + mc: + type: integer + description: Number of motorcycle parking lots + example: 0 + createddate: + type: string + description: Record first release date on sentient + example: "2019-10-17" + lastupdated: + type: string + description: Record last updated date on sentient + example: "2019-10-17" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: optimized release + description: Latest Version + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 15,2020 + x-details: |+ + The following additional fields are added: + 1. postalcode - list of postal code + 2. location - lat / log of the carpark park + description: Depreciating on May 20, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index 6e70eba73..3cc376cfc 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -1,510 +1,512 @@ -openapi: 3.0.1 -info: - title: HDB Commercial Directories (SG) - x-subscribelink: commercial_directories_hdb_sg - description: |+ - This Data microservice retrieves the list of all retail shops within Housing Development Board (HDB) and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates and type of business. The returned dataset offers useful information like the shop operating hours and contact number. Updated weekly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: - Name retail shops in HDBs based on their GPS location. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - > {"must":[{"match_phrase":{"name":"ang mo kio"}}]} - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - - > {"must_not":[{"match":{"trade":"shop"}}]} - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - - > {"should":[{"match":{"postalcode":650633}}]} - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - - > {"filter":[{"match":{"trade":"retail"}}]} - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - * **match** - Search within a full text field for a single word - > {"match":{"street":"bishan"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{ "street":bishan street 24"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"bishan street"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":560720}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":[560720,560721]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"postalcode":{"lte":650347}}} - > {"range":{"postalcode":{"gte":650347}}} - > {"range":{"postalcode":{"gte":650347,"lte":760415}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field": "postalcode"}} - - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - > { - > "must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}], - > "filter":[{"match":{"trade":"shop"}}], - > "should":[{"match":{"postalcode":650633}}], - > "must_not":[{"match":{"trade":"betting"}}] - > } - **Sample Queries Based on Use Cases** - - 1. **Search for all commercial directories around ang mo kio street 21** - Using a querystring only: - > querystring = "ang mo kio street 21" - 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} - - 3. **Search for all cake shop shops at Blk 122, Bukit Merah Lane 1** - Using a filterdata only: - - > filterdata = {"filter":[{"match_phrase": {"trade":"cake shop"}},{"match": {"block":"122"}},{"match_phrase": {"street":"bukit merah lane 1"}}]} - - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/hdb_searchdir/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all retail shops (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "school" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match_phrase":{"name":"school"}}],"filter":[{"match":{"trade":"schools & centres"}}],"should":[{"match":{"postalcode":530202}}],"must_not":[{"match":{"trade":"betting"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 3735 - max_score: 17.995623 - hits: - - _index: sentient_hdb_directory_index - _type: dir_doc - _id: pet_specialist - _score: 1.0 - _source: - postalcode: 560720 - unit: '4102' - level: '01' - source: hdb - name: pet_specialist - phonenumber: 63553000 - email: '' - operatinghours: mon - fri 8am - 4.30pm sat 8am - 12.30pm - trade: pets - lastupdated: '2019-02-01' - type: shop - block: '720' - street: ang mo kio avenue 6 - xcoord: 29520.58 - ycoord: 39311.68 - location: - lat: 1.37179535 - lon: 103.8469821 - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: float - example: 1.0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - id: - type: string - description: Unique Id - example: "pet_specialist" - postalcode: - type: integer - description: Postal code of a block - example: 560720 - unit: - type: string - description: Unit number - example: "4102" - level: - type: string - description: Floor level - example: "01" - source: - type: string - description: Dataset source - example: "hdb" - name: - type: string - description: Business name - example: "Pets" - phonenumber: - type: string - description: Contact number - example: "63553000" - email: - type: string - description: Email address - example: "amk128@renalteam.org" - operatinghours: - type: string - description: Business operating hours. Multiple values are separated using ‘;’ - example: "mon - fri 8am - 4.30pm sat 8am - 12.30pm" - trade: - type: string - description: |+ - Business trade type. Trade List are: - commercial school - shop/retail - childcare centre - confectionery - office - betting - eating house/fast food restaurant/food court - family restaurant - health centre and amusement ctr - laundry shop - showroom - pet shop - social com - supermarket - specific use - health & fitness - home - fashion & accessories - groceries - schools & centres - business - pets - dining - food products - beauty - cake shop - shopping - finance - entertainment & leisure - hobbies & interests - travel and tourism - light industrial - sports and recreation building - others - example: "shop/retail" - lastupdated: - type: string - description: Record created date - example: "2019-02-01" - type: - type: string - description: Record type - example: "shop" - block: - type: string - description: Block number - example: "720" - street: - type: string - description: Full street name - example: "ang mo kio avenue 6" - xcoord: - type: string - description: SVY21 X coordinates - example: 29520.58 - ycoord: - type: string - description: SVY21 Y coordinates - example: 39311.68 - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.364299477060462,"lon":103.8350609414261} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37179535 - lon: - type: string - description: WGS84 longitude - example: 103.8469821 - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 26,2018 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Commercial Directories (SG) + x-subscribelink: commercial_directories_hdb_sg + description: |+ + This Data microservice retrieves the list of all retail shops within Housing Development Board (HDB) and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates and type of business. The returned dataset offers useful information like the shop operating hours and contact number. Updated weekly. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: + Name retail shops in HDBs based on their GPS location. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + > {"must":[{"match_phrase":{"name":"ang mo kio"}}]} + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + + > {"must_not":[{"match":{"trade":"shop"}}]} + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + + > {"should":[{"match":{"postalcode":650633}}]} + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + + > {"filter":[{"match":{"trade":"retail"}}]} + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + * **match** - Search within a full text field for a single word + > {"match":{"street":"bishan"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{ "street":bishan street 24"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"bishan street"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":560720}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":[560720,560721]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"postalcode":{"lte":650347}}} + > {"range":{"postalcode":{"gte":650347}}} + > {"range":{"postalcode":{"gte":650347,"lte":760415}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postalcode"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + > { + > "must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}], + > "filter":[{"match":{"trade":"shop"}}], + > "should":[{"match":{"postalcode":650633}}], + > "must_not":[{"match":{"trade":"betting"}}] + > } + **Sample Queries Based on Use Cases** + + 1. **Search for all commercial directories around ang mo kio street 21** + Using a querystring only: + > querystring = "ang mo kio street 21" + 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} + + 3. **Search for all cake shop shops at Blk 122, Bukit Merah Lane 1** + Using a filterdata only: + + > filterdata = {"filter":[{"match_phrase": {"trade":"cake shop"}},{"match": {"block":"122"}},{"match_phrase": {"street":"bukit merah lane 1"}}]} + + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves the list of all retail shops within Housing Development Board. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 21, 2021" +paths: + /microservices/data/hdb_searchdir/v1/getdata: + get: + tags: + - v1.0.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all retail shops (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "school" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match_phrase":{"name":"school"}}],"filter":[{"match":{"trade":"schools & centres"}}],"should":[{"match":{"postalcode":530202}}],"must_not":[{"match":{"trade":"betting"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 3735 + max_score: 17.995623 + hits: + - _index: sentient_hdb_directory_index + _type: dir_doc + _id: pet_specialist + _score: 1.0 + _source: + postalcode: 560720 + unit: '4102' + level: '01' + source: hdb + name: pet_specialist + phonenumber: 63553000 + email: '' + operatinghours: mon - fri 8am - 4.30pm sat 8am - 12.30pm + trade: pets + lastupdated: '2019-02-01' + type: shop + block: '720' + street: ang mo kio avenue 6 + xcoord: 29520.58 + ycoord: 39311.68 + location: + lat: 1.37179535 + lon: 103.8469821 + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: float + example: 1.0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + id: + type: string + description: Unique Id + example: "pet_specialist" + postalcode: + type: integer + description: Postal code of a block + example: 560720 + unit: + type: string + description: Unit number + example: "4102" + level: + type: string + description: Floor level + example: "01" + source: + type: string + description: Dataset source + example: "hdb" + name: + type: string + description: Business name + example: "Pets" + phonenumber: + type: string + description: Contact number + example: "63553000" + email: + type: string + description: Email address + example: "amk128@renalteam.org" + operatinghours: + type: string + description: Business operating hours. Multiple values are separated using ‘;’ + example: "mon - fri 8am - 4.30pm sat 8am - 12.30pm" + trade: + type: string + description: |+ + Business trade type. Trade List are: + commercial school + shop/retail + childcare centre + confectionery + office + betting + eating house/fast food restaurant/food court + family restaurant + health centre and amusement ctr + laundry shop + showroom + pet shop + social com + supermarket + specific use + health & fitness + home + fashion & accessories + groceries + schools & centres + business + pets + dining + food products + beauty + cake shop + shopping + finance + entertainment & leisure + hobbies & interests + travel and tourism + light industrial + sports and recreation building + others + example: "shop/retail" + lastupdated: + type: string + description: Record created date + example: "2019-02-01" + type: + type: string + description: Record type + example: "shop" + block: + type: string + description: Block number + example: "720" + street: + type: string + description: Full street name + example: "ang mo kio avenue 6" + xcoord: + type: string + description: SVY21 X coordinates + example: 29520.58 + ycoord: + type: string + description: SVY21 Y coordinates + example: 39311.68 + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.364299477060462,"lon":103.8350609414261} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37179535 + lon: + type: string + description: WGS84 longitude + example: 103.8469821 + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 26,2018 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/commercial_directories_hdb_sg_v0.1.yaml b/data/commercial_directories_hdb_sg_v0.1.yaml index 98e7b4921..d085072b5 100644 --- a/data/commercial_directories_hdb_sg_v0.1.yaml +++ b/data/commercial_directories_hdb_sg_v0.1.yaml @@ -1,540 +1,542 @@ -openapi: 3.0.1 -info: - title: HDB Commercial Directories (SG) - x-subscribelink: commercial_directories_hdb_sg - description: |+ - This Data microservice retrieves the list of all retail shops within Singapore HDBs and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates type of business. The resultant dataset offers useful information like the shop operating hours and contact number. Updated weekly. - - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: - Name retail shops in HDBs based on their GPS location. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"name":"ang mo kio"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - - > {"must_not":[{"match":{"trade":"shop"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - - > {"should":[{"match":{"postalcode":"650633"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - - > {"filter":[{"match":{"trade":"retail"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - - > {"match":{"street":"bishan"}} - - * **match_phrase** - Search within a full text field - - > {"match_phrase":{ "street":bishan street 24"}} - - * **match_phrase_prefix** - Search within a full text field with prefix - - > {"match_phrase_prefix":{"street":"bishan street"}} - - * **term** - Returns results that contain an exact term in a provided field - - > {"term":{"postalcode":"560720"}} - - * **terms** - Returns results that contain one or more exact terms in a provided field - - > {"terms":{"postalcode":["560720","560721"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"postalcode":{"lte":650347}}} - > {"range":{"postalcode":{"gte":650347}}} - > {"range":{"postalcode":{"gte":650347,"lte":760415}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field": "postalcode"}} - - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}], - > "filter":[{"match":{"trade":"shop"}}], - > "should":[{"match":{"postalcode":"650633"}}], - > "must_not":[{"match":{"trade":"betting"}}] - > } - - **Sample Queries Based on Use Cases** - - 1. **Search for all commercial directories around ang mo kio street 21** - - Using a querystring only: - - > querystring = "ang mo kio street 21" - - 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** - - Using a filterdata only: - - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} - - 3. **Search for all cake shop shops at Blk 122, Bukit Merah Lane 1** - - Using a filterdata only: - - > filterdata = {"filter":[{"match_phrase": {"trade":"cake shop"}},{"match": {"block":"122"}},{"match_phrase": {"street":"bukit merah lane 1"}}]} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 26, 2018" -paths: - /DaaS/prod/directories/hdb/searchdir: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all retail shops (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "retail" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}],"filter":[{"match":{"trade":"shop"}}],"should":[{"match":{"postalcode":"650633"}}],"must_not":[{"match":{"trade":"betting"}}]} - - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 3735 - max_score: 17.995623 - hits: - - _index: sentient_directory_hdb_index - _type: dir_doc - _id: K7scqWgBv3dNEHq2WvMo - _score: 17.995623 - _source: - id: '201902011250341437360' - postalcode: '560720' - unit: '4102' - level: '01' - source: hdb - name: Ang Mo Kio Polyclinic - phonenumber: '63553000' - email: '' - operatinghours: mon - fri 8am - 4.30pm sat 8am - 12.30pm - trade: shop/retail - createddate: '2019-02-01' - type: shop - block: '720' - street: ang mo kio avenue 6 - xcoord: 29520.58 - ycoord: 39311.68 - location: - lat: 1.37179535 - lon: 103.8469821 - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - id: - type: string - description: Unique Id - example: "201902011250341437360" - postalcode: - type: string - description: Postal code of a block - example: "560720" - unit: - type: string - description: Unit number - example: "4102" - level: - type: string - description: Floor level - example: "01" - source: - type: string - description: Dataset source - example: "hdb" - name: - type: string - description: Business name - example: "Ang Mo Kio Polyclinic" - phonenumber: - type: string - description: Contact number - example: "63553000" - email: - type: string - description: Email address - example: "amk128@renalteam.org" - operatinghours: - type: string - description: Business operating hours. Multiple values are separated using ‘;’ - example: "mon - fri 8am - 4.30pm sat 8am - 12.30pm" - trade: - type: string - description: |+ - Business trade type. Trade List are: - commercial school - shop/retail - childcare centre - confectionery - office - betting - eating house/fast food restaurant/food court - family restaurant - health centre and amusement ctr - laundry shop - showroom - pet shop - social com - supermarket - specific use - health & fitness - home - fashion & accessories - groceries - schools & centres - business - pets - dining - food products - beauty - cake shop - shopping - finance - entertainment & leisure - hobbies & interests - travel and tourism - light industrial - sports and recreation building - others - example: "shop/retail" - createddate: - type: string - description: Record created date - example: "2019-02-01" - type: - type: string - description: Record type - example: "shop" - block: - type: string - description: Block number - example: "720" - street: - type: string - description: Full street name - example: "ang mo kio avenue 6" - xcoord: - type: string - description: SVY21 X coordinates - example: 29520.58 - ycoord: - type: string - description: SVY21 Y coordinates - example: 39311.68 - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.364299477060462,"lon":103.8350609414261} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37179535 - lon: - type: string - description: WGS84 longitude - example: 103.8469821 - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 26,2018 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Commercial Directories (SG) + x-subscribelink: commercial_directories_hdb_sg + description: |+ + This Data microservice retrieves the list of all retail shops within Singapore HDBs and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates type of business. The resultant dataset offers useful information like the shop operating hours and contact number. Updated weekly. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: + Name retail shops in HDBs based on their GPS location. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"name":"ang mo kio"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + + > {"must_not":[{"match":{"trade":"shop"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + + > {"should":[{"match":{"postalcode":"650633"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + + > {"filter":[{"match":{"trade":"retail"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + + > {"match":{"street":"bishan"}} + + * **match_phrase** - Search within a full text field + + > {"match_phrase":{ "street":bishan street 24"}} + + * **match_phrase_prefix** - Search within a full text field with prefix + + > {"match_phrase_prefix":{"street":"bishan street"}} + + * **term** - Returns results that contain an exact term in a provided field + + > {"term":{"postalcode":"560720"}} + + * **terms** - Returns results that contain one or more exact terms in a provided field + + > {"terms":{"postalcode":["560720","560721"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"postalcode":{"lte":650347}}} + > {"range":{"postalcode":{"gte":650347}}} + > {"range":{"postalcode":{"gte":650347,"lte":760415}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postalcode"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}], + > "filter":[{"match":{"trade":"shop"}}], + > "should":[{"match":{"postalcode":"650633"}}], + > "must_not":[{"match":{"trade":"betting"}}] + > } + + **Sample Queries Based on Use Cases** + + 1. **Search for all commercial directories around ang mo kio street 21** + + Using a querystring only: + + > querystring = "ang mo kio street 21" + + 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** + + Using a filterdata only: + + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} + + 3. **Search for all cake shop shops at Blk 122, Bukit Merah Lane 1** + + Using a filterdata only: + + > filterdata = {"filter":[{"match_phrase": {"trade":"cake shop"}},{"match": {"block":"122"}},{"match_phrase": {"street":"bukit merah lane 1"}}]} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves the list of all retail shops within Housing Development Board. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 26, 2018" +paths: + /DaaS/prod/directories/hdb/searchdir: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all retail shops (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "retail" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}],"filter":[{"match":{"trade":"shop"}}],"should":[{"match":{"postalcode":"650633"}}],"must_not":[{"match":{"trade":"betting"}}]} + + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 3735 + max_score: 17.995623 + hits: + - _index: sentient_directory_hdb_index + _type: dir_doc + _id: K7scqWgBv3dNEHq2WvMo + _score: 17.995623 + _source: + id: '201902011250341437360' + postalcode: '560720' + unit: '4102' + level: '01' + source: hdb + name: Ang Mo Kio Polyclinic + phonenumber: '63553000' + email: '' + operatinghours: mon - fri 8am - 4.30pm sat 8am - 12.30pm + trade: shop/retail + createddate: '2019-02-01' + type: shop + block: '720' + street: ang mo kio avenue 6 + xcoord: 29520.58 + ycoord: 39311.68 + location: + lat: 1.37179535 + lon: 103.8469821 + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + id: + type: string + description: Unique Id + example: "201902011250341437360" + postalcode: + type: string + description: Postal code of a block + example: "560720" + unit: + type: string + description: Unit number + example: "4102" + level: + type: string + description: Floor level + example: "01" + source: + type: string + description: Dataset source + example: "hdb" + name: + type: string + description: Business name + example: "Ang Mo Kio Polyclinic" + phonenumber: + type: string + description: Contact number + example: "63553000" + email: + type: string + description: Email address + example: "amk128@renalteam.org" + operatinghours: + type: string + description: Business operating hours. Multiple values are separated using ‘;’ + example: "mon - fri 8am - 4.30pm sat 8am - 12.30pm" + trade: + type: string + description: |+ + Business trade type. Trade List are: + commercial school + shop/retail + childcare centre + confectionery + office + betting + eating house/fast food restaurant/food court + family restaurant + health centre and amusement ctr + laundry shop + showroom + pet shop + social com + supermarket + specific use + health & fitness + home + fashion & accessories + groceries + schools & centres + business + pets + dining + food products + beauty + cake shop + shopping + finance + entertainment & leisure + hobbies & interests + travel and tourism + light industrial + sports and recreation building + others + example: "shop/retail" + createddate: + type: string + description: Record created date + example: "2019-02-01" + type: + type: string + description: Record type + example: "shop" + block: + type: string + description: Block number + example: "720" + street: + type: string + description: Full street name + example: "ang mo kio avenue 6" + xcoord: + type: string + description: SVY21 X coordinates + example: 29520.58 + ycoord: + type: string + description: SVY21 Y coordinates + example: 39311.68 + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.364299477060462,"lon":103.8350609414261} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37179535 + lon: + type: string + description: WGS84 longitude + example: 103.8469821 + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 26,2018 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/d&b_basic_individual_search_sg.yaml b/data/d&b_basic_individual_search_sg.yaml index b19cd9fa2..743b07b42 100644 --- a/data/d&b_basic_individual_search_sg.yaml +++ b/data/d&b_basic_individual_search_sg.yaml @@ -1,1416 +1,1418 @@ -openapi: 3.0.1 -info: - title: D&B Basic Individual Search (SG) - description: |+ - This Data microservice provides the information on the business interest and involvement of an individual residing in Singapore. It includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and number of times this individual has been searched on. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation. - - Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. - version: '1.0.0' - x-subscribelink: d&b_basic_individual_search_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/sbis/v1/getdata: - post: - tags: - - v1 - summary: Adds a new user - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - REPORT: - META_INFO: - SERVICE: BIS - SYSTEM_ID: DDP - CREATION_DATE: 25/02/2009 17:31:44.678 - USER_ID: plcust102 - BASIC_INFO: - PA_REG_NO: - "@type": String - "#text": '00091' - ADDRESS1: 137, BEDOK RESERVOIR ROAD, 06 - 1451 - ADDRESS2: "-" - ADDRESS3: 470137, SINGAPORE - LIT_SEARCH_INFO: - COMP_NAME: ENG YICK HOLDINGS PTE LTD - REG_NO: 197803191K - REPORT_TYPE: BIS - REQ_DATE: 25/02/2009 17:31:44 - REQ_REG_NO: 197803191K - REQ_NAME: LOY KOK TOON - REQ_DATE_STR: 25/02/2009 15:04:14 - LIST_CURRENT_COMP: - CURRENT_COMP: - POSITION: OWNER - APPOINTMENT_DATE: 01/09/1971 - COMP_NAME: BAN HOE LEONG COMPANY - SEQ_NO: 03647300J - SHARE_VALUE1: '15.00' - COMP_STATUS: LIVE - PROFIT_VALUE1: 2008 = - - PROFIT_VALUE2: 2007 = - - PROFIT_VALUE3: 2006 = - - SHARE_VALUE: '150000' - TEL: '62994842' - FAX: '62992797' - SIC: '5012' - SIC_DESC: Automobiles and other Motor Vehicles - LIST_PREVIOUS_COMP: - PREVIOUS_COMP: - POSITION: SHAREHOLDER - APPOINTMENT_DATE: 30/06/1988 - COMP_NAME: ENG YICK INDUSTRIES PTE LTD - SEQ_NO: 198101820Z - SHARE_VALUE1: '100.00' - COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) - CESSATION_DATE: 22/09/1992 - SHARE_VALUE: '390002' - TEL: '62994842' - FAX: '67467646' - SIC: '2325' - SIC_DESC: Menâ€TMs and Boysâ€TM Separate Trousers and Slacks - LIST_BANKRUPTCY: - BANKRUPTCY: - SUBJECT_NAME: "-" - COURT_CODE: CWU - CASE_CODE: '381' - CASE_YEAR: '2000' - ACTION_DATE: 22/12/2000 - BANKRUPTCY_ACT: Petition for Winding Up - HEARING_DATE: 26/03/2009 - CURRENCY1: "-" - AMOUNT1: '334,616.00' - CURRENCY2: "-" - AMOUNT2: '0.00' - CURRENCY3: "-" - AMOUNT3: '0.00' - BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - LIST_LIT: - LIT: - SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD - SEQ_NO: '1' - FORMATTED_ID: 197803191K - LIST_LIT_DTL: - LIT_DTL: - NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED - STATUS_DATE: 13/08/2001 - CASE_NO: MC 23631 / 2001 - FORMATTED_ID: 197803191K - DOC_REMARKS: WRIT OF SUMMONS - CURRENCY1: SIN - CURRENCY2: "-" - CURRENCY3: "-" - CURRENCY4: "-" - CURRENCY5: "-" - CASE_STATUS: PENDING AS AT STATUS DATE - AMOUNT1: '36,196.00' - AMOUNT2: '0.00' - AMOUNT3: '0.00' - AMOUNT4: '0.00' - AMOUNT5: '0.00' - LIST_PLAINTIFF: - PLAINTIFF: - - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - - PLA_NAME: ABC PTE LTD - LAW_FIRM: JAMES & JOE - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: KHOO JAMES - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 X10 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - LIST_DEFENDANT: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - LIST_Ddrptcount: - Ddrptcount: - - Rcjan: '1' - Rcfeb: '1' - Rcmar: '1' - Rcapr: '1' - Rcmay: '1' - Rcjun: '1' - Rcjul: '1' - Rcaug: '1' - Rcsep: '1' - Rcoct: '1' - Rcnov: '1' - Rcdec: '1' - Rcyear: '2017' - Rcsecflag: '1' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2016' - Rcsecflag: '1' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2015' - Rcsecflag: '1' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2017' - Rcsecflag: '0' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2016' - Rcsecflag: '0' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2015' - Rcsecflag: '0' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [BASIC_INFO] - [LIT_SEARCH_INFO] - [LIST_CURRENT_COMP] - [LIST_PREVIOUS_COMP] - [LIST_BANKRUPTCY] - [LIST_LIT] - [LIST_LIT_DTL] - properties: - META_INFO: - type: object - example: - META_INFO: - SERVICE: BIS - SYSTEM_ID: DDP - CREATION_DATE: 25/02/2009 17:31:44.678 - USER_ID: plcust102 - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - properties: - SERVICE: - type: string - example: "BIS" - description: Report Requested - SYSTEM_ID : - type: string - example: "DDP" - description: System ID - CREATION_DATE: - type: datetime - example: "25/02/2009 17:31:44.678" - description: Report Request Date - USER_ID : - type: string - example: N/A - description: Valid user id in DDP system. It is for (For internal use) - BASIC_INFO : - type: object - description: |+ - Basic Information with following children: - PA_REG_NO - ADDRESS1 - ADDRESS2 - ADDRESS3 - example: - BASIC_INFO: - PA_REG_NO: - "@type": String - "#text": '00091' - ADDRESS1: 137, BEDOK RESERVOIR ROAD, 06 - 1451 - ADDRESS2: "-" - ADDRESS3: 470137, SINGAPORE - properties: - PA_REG_NO: - type: string - description: Public Accountant Registration No. - example: "00091" - ADDRESS1: - type: string - description: Address 1 - example: "137" - ADDRESS2: - type: string - description: Address 2 - example: "vvvvv" - ADDRESS3: - type: string - description: Address 3 - example: "470137, SINGAPORE" - LIT_SEARCH_INFO : - type: object - example: - LIT_SEARCH_INFO: - COMP_NAME: ENG YICK HOLDINGS PTE LTD - REG_NO: 197803191K - REPORT_TYPE: BIS - REQ_DATE: 25/02/2009 17:31:44 - REQ_REG_NO: 197803191K - REQ_NAME: LOY KOK TOON - REQ_DATE_STR: 25/02/2009 15:04:14 - description: |+ - Litigation search information with following children: - COMP_NAME - REG_NO - REPORT_TYPE - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK HOLDINGS PTE LTD" - REG_NO: - type: string - description: Company Registration No - example: "197803191K" - REPORT_TYPE: - type: string - description: Report Type - example: "BIS" - REQ_DATE: - type: datetime - description: Requested Date - example: "25/02/2009 17:31:44" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197803191K" - REQ_NAME: - type: string - description: Request Name - example: "LOY KOK TOON" - REQ_DATE_STR: - type: string - description: Request Date String - example: "25/02/2009 15:04:14" - LIST_CURRENT_COMP : - type: array - description: |+ - List of current companies with following children: - [CURRENT_COMP] - example: - LIST_CURRENT_COMP: - CURRENT_COMP: - POSITION: OWNER - APPOINTMENT_DATE: 01/09/1971 - COMP_NAME: BAN HOE LEONG COMPANY - SEQ_NO: 03647300J - SHARE_VALUE1: '15.00' - COMP_STATUS: LIVE - PROFIT_VALUE1: 2008 = - - PROFIT_VALUE2: 2007 = - - PROFIT_VALUE3: 2006 = - - SHARE_VALUE: '150000' - TEL: '62994842' - FAX: '62992797' - SIC: '5012' - SIC_DESC: Automobiles and other Motor Vehicles - items: - properties: - CURRENT_COMP: - type: object - description: |+ - Current companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - PROFIT_VALUE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: - CURRENT_COMP: - POSITION: OWNER - APPOINTMENT_DATE: 01/09/1971 - COMP_NAME: BAN HOE LEONG COMPANY - SEQ_NO: 03647300J - SHARE_VALUE1: '15.00' - COMP_STATUS: LIVE - PROFIT_VALUE1: 2008 = - - PROFIT_VALUE2: 2007 = - - PROFIT_VALUE3: 2006 = - - SHARE_VALUE: '150000' - TEL: '62994842' - FAX: '62992797' - SIC: '5012' - SIC_DESC: Automobiles and other Motor Vehicles - properties: - POSITION: - type: string - description: Position - example: "OWNER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "01/09/1971" - COMP_NAME: - type: string - description: Company Name - example: "BAN HOE LEONG COMPANY" - SEQ_NO: - type: string - description: Company Registration No. - example: "03647300J" - SHARE_VALUE1: - type: string - description: Share Percentage - example: "15.00" - COMP_STATUS: - type: string - description: Company Status - example: "LIVE" - PROFIT_VALUE1: - type: string - description: Profit Making 1 - example: "2008 = -" - PROFIT_VALUE2: - type: string - description: Profit Making 2 - example: "2007 = -" - PROFIT_VALUE3: - type: string - description: Profit Making 3 - example: "2006 = -" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "150000" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "62992797" - SIC: - type: string - description: SIC Code - example: "5012" - SIC_DESC: - type: string - description: SIC Description - example: "Automobiles and other Motor Vehicles" - LIST_PREVIOUS_COMP: - type: array - example: - LIST_PREVIOUS_COMP: - PREVIOUS_COMP: - POSITION: SHAREHOLDER - APPOINTMENT_DATE: 30/06/1988 - COMP_NAME: ENG YICK INDUSTRIES PTE LTD - SEQ_NO: 198101820Z - SHARE_VALUE1: '100.00' - COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) - CESSATION_DATE: 22/09/1992 - SHARE_VALUE: '390002' - TEL: '62994842' - FAX: '67467646' - SIC: '2325' - SIC_DESC: Men’s and Boys’ Separate Trousers and Slacks - description: |+ - List of previous companies with following children: - [PREVIOUS_COMP] - items: - properties: - PREVIOUS_COMP : - type: object - description: |+ - Previous companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - CESSATION_DATE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: - PREVIOUS_COMP: - POSITION: SHAREHOLDER - APPOINTMENT_DATE: 30/06/1988 - COMP_NAME: ENG YICK INDUSTRIES PTE LTD - SEQ_NO: 198101820Z - SHARE_VALUE1: '100.00' - COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) - CESSATION_DATE: 22/09/1992 - SHARE_VALUE: '390002' - TEL: '62994842' - FAX: '67467646' - SIC: '2325' - SIC_DESC: Men’s and Boys’ Separate Trousers and Slacks - properties: - POSITION : - type: string - description: Position - example: "SHAREHOLDER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "30/06/1988" - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK INDUSTRIES PTE LTD" - SEQ_NO: - type: string - description: Company Registration No. - example: "198101820Z" - SHARE_VALUE1: - type: string - description: Share Value Percentage - example: "100.00" - COMP_STATUS: - type: string - description: Company Status - example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" - CESSATION_DATE : - type: string - description: Cessation Date - example: "22/09/1992" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "390002" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "67467646" - SIC: - type: string - description: SIC Code - example: "2325" - SIC_DESC: - type: string - description: SIC Description - example: "Men’s and Boys’ Separate Trousers and Slacks" - LIST_BANKRUPTCY: - type: array - description: |+ - Bankruptcy/ Winding up with following children: - [BANKRUPTCY] - example: - LIST_BANKRUPTCY: - BANKRUPTCY: - SUBJECT_NAME: "-" - COURT_CODE: CWU - CASE_CODE: '381' - CASE_YEAR: '2000' - ACTION_DATE: 22/12/2000 - BANKRUPTCY_ACT: Petition for Winding Up - HEARING_DATE: 26/03/2009 - CURRENCY1: "-" - AMOUNT1: '334,616.00' - CURRENCY2: "-" - AMOUNT2: '0.00' - CURRENCY3: "-" - AMOUNT3: '0.00' - BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - items: - properties: - BANKRUPTCY : - type: object - description: |+ - Bankruptcy/Winding up detail with following children: - SUBJECT_NAME - COURT_CODE - CASE_CODE - CASE_YEAR - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - BANKRUPTCY_TYPE - [LIST_PLAINTIFF] - example: - BANKRUPTCY: - SUBJECT_NAME: "-" - COURT_CODE: CWU - CASE_CODE: '381' - CASE_YEAR: '2000' - ACTION_DATE: 22/12/2000 - BANKRUPTCY_ACT: Petition for Winding Up - HEARING_DATE: 26/03/2009 - CURRENCY1: "-" - AMOUNT1: '334,616.00' - CURRENCY2: "-" - AMOUNT2: '0.00' - CURRENCY3: "-" - AMOUNT3: '0.00' - BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: - COURT_CODE: - type: string - description: Court Code - example: "CWU" - CASE_CODE: - type: string - description: Case Code - example: "381" - CASE_YEAR: - type: string - description: Case Year - example: "2000" - ACTION_DATE: - type: string - description: Action Date - example: "22/12/2000" - BANKRUPTCY_ACT: - type: string - description: Act of Bankruptcy - example: "Petition for Winding Up" - HEARING_DATE : - type: string - description: Hearing Date - example: "26/03/2009" - CURRENCY1: - type: string - description: Currency - example: - AMOUNT1: - type: string - description: Amount - example: "334,616.00" - CURRENCY2: - type: string - description: Currency - example: - AMOUNT2: - type: string - description: Amount - example: "0.00" - CURRENCY3: - type: string - description: Currency - example: - AMOUNT3: - type: string - description: Amount - example: "0.00" - BANKRUPTCY_TYPE: - type: string - description: Bankruptcy Type - example: "COMPANY WINDING UP PETITION" - LIST_PLAINTIFF: - type: array - description: |+ - List of Plaintiff with following children: - [PLAINTIFF] - example: - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - example: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - properties: - PLA_NAME: - type: string - description: Pla. Name - example: "B 2003 P1" - PLA_SOLICITOR: - type: string - description: Pla. Solicitor - example: "PATRICK KHOO ENG HOCK" - PLA_SOLICITOR_ID: - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "RSP/292668/1" - LIST_LIT: - type: array - description: |+ - List of litigation with following children: - [LIT] - example: - LIST_LIT: - LIT: - SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD - SEQ_NO: '1' - FORMATTED_ID: 197803191K - items: - properties: - LIT: - type: object - description: |+ - Basic litigation info with following children: - SUBJECT_NAME - SEQ_NO - FORMATTED_ID - [LIST_LIT_DTL] - example: - LIT: - SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD - SEQ_NO: '1' - FORMATTED_ID: 197803191K - properties: - SUBJECT_NAME: - type: string - description: Name - example: "ENG YICK HOLDINGS PTE LTD" - SEQ_NO: - type: integer - description: Sequence No. - example: 1 - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - LIST_LIT_DTL: - type: array - description: |+ - List of litigation detail with following children: - [LIT_DTL] - example: - LIST_LIT_DTL: - LIT_DTL: - NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED - STATUS_DATE: 13/08/2001 - CASE_NO: MC 23631 / 2001 - FORMATTED_ID: 197803191K - DOC_REMARKS: WRIT OF SUMMONS - CURRENCY1: SIN - CURRENCY2: "-" - CURRENCY3: "-" - CURRENCY4: "-" - CURRENCY5: "-" - CASE_STATUS: PENDING AS AT STATUS DATE - AMOUNT1: '36,196.00' - AMOUNT2: '0.00' - AMOUNT3: '0.00' - AMOUNT4: '0.00' - AMOUNT5: '0.00' - LIST_PLAINTIFF: - PLAINTIFF: - - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - - PLA_NAME: ABC PTE LTD - LAW_FIRM: JAMES & JOE - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: KHOO JAMES - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 X10 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - LIST_DEFENDANT: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - items: - properties: - LIT_DTL: - type: object - description: |+ - Litigation detail with following children: - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - FORMATTED_ID - DOC_REMARKS - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - CASE_STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - [LIST_PLAINTIFF] - [LIST_DEFENDANT] - example: - LIT_DTL: - NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED - STATUS_DATE: 13/08/2001 - CASE_NO: MC 23631 / 2001 - FORMATTED_ID: 197803191K - DOC_REMARKS: WRIT OF SUMMONS - CURRENCY1: SIN - CURRENCY2: "-" - CURRENCY3: "-" - CURRENCY4: "-" - CURRENCY5: "-" - CASE_STATUS: PENDING AS AT STATUS DATE - AMOUNT1: '36,196.00' - AMOUNT2: '0.00' - AMOUNT3: '0.00' - AMOUNT4: '0.00' - AMOUNT5: '0.00' - LIST_PLAINTIFF: - PLAINTIFF: - - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - - PLA_NAME: ABC PTE LTD - LAW_FIRM: JAMES & JOE - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: KHOO JAMES - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 X10 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - LIST_DEFENDANT: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - properties: - NATURE_OF_CLAIM: - type: string - description: Nature of Claim - example: "CONTRACTS-WORK DONE & SERVICES RENDERED" - STATUS_DATE: - type: string - description: Status Date - example: "13/08/2001" - CASE_NO: - type: string - description: Case No. - example: "MC 23631 / 2001" - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - DOC_REMARKS: - type: string - description: Document Remark - example: "WRIT OF SUMMONS" - CURRENCY1: - type: string - description: Currency 1 - example: "SIN" - CURRENCY2: - type: string - description: Currency 2 - example: - CURRENCY3: - type: string - description: Currency 3 - example: - CURRENCY4: - type: string - description: Currency 4 - example: - CURRENCY5: - type: string - description: Currency 5 - example: - CASE_STATUS: - type: string - description: Status - example: "PENDING AS AT STATUS DATE" - AMOUNT1: - type: string - description: Amount 1 - example: "36,196.00" - AMOUNT2: - type: string - description: Amount 2 - example: "0.00" - AMOUNT3: - type: string - description: Amount 3 - example: "0.00" - AMOUNT4: - type: string - description: Amount 4 - example: "0.00" - AMOUNT5: - type: string - description: Amount 5 - example: "0.00" - LIST_PLAINTIFF: - type: array - description: |+ - List of plaintiff with following children: - [PLAINTIFF] - example: - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - LAW_FIRM - WRITE_DATE - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_STATUS - PLA_STATUS_DATE - PLA_ID - example: - PLAINTIFF: - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - properties: - PLA_NAME: - type: string - description: Plaintiff Name - example: "ROTARY PILING PTE LTD" - LAW_FIRM: - type: string - description: Pla. Law Firm - example: "JOSEPH HOO MORRIS & KUMAR" - WRITE_DATE: - type: string - description: Writ date - example: "13/08/2001" - PLA_SOLICITOR: - type: string - description: Plaintiff Solicitor - example: "HOO JOSEPH" - PLA_SOLICITOR_ID: - type: string - description: Plaintiff Solicitor ID - example: "ORS" - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "CHH 6253 D27" - PLA_STATUS: - type: string - description: Plaintiff Status - example: - PLA_STATUS_DATE: - type: string - description: Plaintiff Status Date - example: - PLA_ID: - type: string - description: Plaintiff ID - example: "S7250163B" - LIST_DEFENDANT: - type: array - description: |+ - List of defendant with following children: - [DEFENDANT] - example: - LIST_DEFENDANT: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - items: - properties: - DEFENDANT: - type: object - description: |+ - Defendant detail with following children: - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - example: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - properties: - DEF_SOLICITOR: - type: string - description: Def. Solicitor - example: - DEF_SOLICITOR_ID: - type: string - description: Def. Solicitor ID - example: N/A - DEF_LAW_FIRM: - type: string - description: Def. Law Firm - example: - DEF_FILE_REF: - type: string - description: Def. File Ref. - example: - LIST_Ddrptcount: - type: array - description: |+ - List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: - [Ddrptcount] - example: - LIST_Ddrptcount: - Ddrptcount: - Rcjan: '1' - Rcfeb: '1' - Rcmar: '1' - Rcapr: '1' - Rcmay: '1' - Rcjun: '1' - Rcjul: '1' - Rcaug: '1' - Rcsep: '1' - Rcoct: '1' - Rcnov: '1' - Rcdec: '1' - Rcyear: '2017' - Rcsecflag: '1' - items: - properties: - Ddrptcount: - type: object - description: |+ - 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcyear - Rcsecflag - example: - Ddrptcount: - Rcjan: '1' - Rcfeb: '1' - Rcmar: '1' - Rcapr: '1' - Rcmay: '1' - Rcjun: '1' - Rcjul: '1' - Rcaug: '1' - Rcsep: '1' - Rcoct: '1' - Rcnov: '1' - Rcdec: '1' - Rcyear: '2017' - Rcsecflag: '1' - properties: - Rcjan: - type: integer - description: Count for January - example: "1" - Rcfeb: - type: integer - description: Count for February - example: "1" - Rcmar: - type: integer - description: Count for March - example: "1" - Rcapr: - type: integer - description: Count for April - example: "1" - Rcmay: - type: integer - description: Count for May - example: "1" - Rcjun: - type: integer - description: Count for June - example: "1" - Rcjul: - type: integer - description: Count for July - example: "1" - Rcaug: - type: integer - description: Count for August - example: "1" - Rcsep: - type: integer - description: Count for September - example: "1" - Rcoct: - type: integer - description: Count for October - example: "1" - Rcnov: - type: integer - description: Count for November - example: "1" - Rcdec: - type: integer - description: Count for December - example: "1" - Rcyear: - type: integer - description: To show the year - example: "1" - Rcsecflag: - type: integer - description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors - example: "1" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: - total_items: - type: integer - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - subject_idno: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - subject_name: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json Format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: D&B Basic Individual Search (SG) + description: |+ + This Data microservice provides the information on the business interest and involvement of an individual residing in Singapore. It includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and number of times this individual has been searched on. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation. + - Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. + version: '1.0.0' + x-subscribelink: d&b_basic_individual_search_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves information on the business interest and involvement of an individual residing in Singapore. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 15, 2021" +paths: + /microservices/data/sbis/v1/getdata: + post: + tags: + - v1 + summary: Adds a new user + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + REPORT: + META_INFO: + SERVICE: BIS + SYSTEM_ID: DDP + CREATION_DATE: 25/02/2009 17:31:44.678 + USER_ID: plcust102 + BASIC_INFO: + PA_REG_NO: + "@type": String + "#text": '00091' + ADDRESS1: 137, BEDOK RESERVOIR ROAD, 06 - 1451 + ADDRESS2: "-" + ADDRESS3: 470137, SINGAPORE + LIT_SEARCH_INFO: + COMP_NAME: ENG YICK HOLDINGS PTE LTD + REG_NO: 197803191K + REPORT_TYPE: BIS + REQ_DATE: 25/02/2009 17:31:44 + REQ_REG_NO: 197803191K + REQ_NAME: LOY KOK TOON + REQ_DATE_STR: 25/02/2009 15:04:14 + LIST_CURRENT_COMP: + CURRENT_COMP: + POSITION: OWNER + APPOINTMENT_DATE: 01/09/1971 + COMP_NAME: BAN HOE LEONG COMPANY + SEQ_NO: 03647300J + SHARE_VALUE1: '15.00' + COMP_STATUS: LIVE + PROFIT_VALUE1: 2008 = - + PROFIT_VALUE2: 2007 = - + PROFIT_VALUE3: 2006 = - + SHARE_VALUE: '150000' + TEL: '62994842' + FAX: '62992797' + SIC: '5012' + SIC_DESC: Automobiles and other Motor Vehicles + LIST_PREVIOUS_COMP: + PREVIOUS_COMP: + POSITION: SHAREHOLDER + APPOINTMENT_DATE: 30/06/1988 + COMP_NAME: ENG YICK INDUSTRIES PTE LTD + SEQ_NO: 198101820Z + SHARE_VALUE1: '100.00' + COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) + CESSATION_DATE: 22/09/1992 + SHARE_VALUE: '390002' + TEL: '62994842' + FAX: '67467646' + SIC: '2325' + SIC_DESC: Menâ€TMs and Boysâ€TM Separate Trousers and Slacks + LIST_BANKRUPTCY: + BANKRUPTCY: + SUBJECT_NAME: "-" + COURT_CODE: CWU + CASE_CODE: '381' + CASE_YEAR: '2000' + ACTION_DATE: 22/12/2000 + BANKRUPTCY_ACT: Petition for Winding Up + HEARING_DATE: 26/03/2009 + CURRENCY1: "-" + AMOUNT1: '334,616.00' + CURRENCY2: "-" + AMOUNT2: '0.00' + CURRENCY3: "-" + AMOUNT3: '0.00' + BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + LIST_LIT: + LIT: + SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD + SEQ_NO: '1' + FORMATTED_ID: 197803191K + LIST_LIT_DTL: + LIT_DTL: + NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED + STATUS_DATE: 13/08/2001 + CASE_NO: MC 23631 / 2001 + FORMATTED_ID: 197803191K + DOC_REMARKS: WRIT OF SUMMONS + CURRENCY1: SIN + CURRENCY2: "-" + CURRENCY3: "-" + CURRENCY4: "-" + CURRENCY5: "-" + CASE_STATUS: PENDING AS AT STATUS DATE + AMOUNT1: '36,196.00' + AMOUNT2: '0.00' + AMOUNT3: '0.00' + AMOUNT4: '0.00' + AMOUNT5: '0.00' + LIST_PLAINTIFF: + PLAINTIFF: + - PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + - PLA_NAME: ABC PTE LTD + LAW_FIRM: JAMES & JOE + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: KHOO JAMES + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 X10 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + LIST_DEFENDANT: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + LIST_Ddrptcount: + Ddrptcount: + - Rcjan: '1' + Rcfeb: '1' + Rcmar: '1' + Rcapr: '1' + Rcmay: '1' + Rcjun: '1' + Rcjul: '1' + Rcaug: '1' + Rcsep: '1' + Rcoct: '1' + Rcnov: '1' + Rcdec: '1' + Rcyear: '2017' + Rcsecflag: '1' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2016' + Rcsecflag: '1' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2015' + Rcsecflag: '1' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2017' + Rcsecflag: '0' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2016' + Rcsecflag: '0' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2015' + Rcsecflag: '0' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [BASIC_INFO] + [LIT_SEARCH_INFO] + [LIST_CURRENT_COMP] + [LIST_PREVIOUS_COMP] + [LIST_BANKRUPTCY] + [LIST_LIT] + [LIST_LIT_DTL] + properties: + META_INFO: + type: object + example: + META_INFO: + SERVICE: BIS + SYSTEM_ID: DDP + CREATION_DATE: 25/02/2009 17:31:44.678 + USER_ID: plcust102 + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + properties: + SERVICE: + type: string + example: "BIS" + description: Report Requested + SYSTEM_ID : + type: string + example: "DDP" + description: System ID + CREATION_DATE: + type: datetime + example: "25/02/2009 17:31:44.678" + description: Report Request Date + USER_ID : + type: string + example: N/A + description: Valid user id in DDP system. It is for (For internal use) + BASIC_INFO : + type: object + description: |+ + Basic Information with following children: + PA_REG_NO + ADDRESS1 + ADDRESS2 + ADDRESS3 + example: + BASIC_INFO: + PA_REG_NO: + "@type": String + "#text": '00091' + ADDRESS1: 137, BEDOK RESERVOIR ROAD, 06 - 1451 + ADDRESS2: "-" + ADDRESS3: 470137, SINGAPORE + properties: + PA_REG_NO: + type: string + description: Public Accountant Registration No. + example: "00091" + ADDRESS1: + type: string + description: Address 1 + example: "137" + ADDRESS2: + type: string + description: Address 2 + example: "vvvvv" + ADDRESS3: + type: string + description: Address 3 + example: "470137, SINGAPORE" + LIT_SEARCH_INFO : + type: object + example: + LIT_SEARCH_INFO: + COMP_NAME: ENG YICK HOLDINGS PTE LTD + REG_NO: 197803191K + REPORT_TYPE: BIS + REQ_DATE: 25/02/2009 17:31:44 + REQ_REG_NO: 197803191K + REQ_NAME: LOY KOK TOON + REQ_DATE_STR: 25/02/2009 15:04:14 + description: |+ + Litigation search information with following children: + COMP_NAME + REG_NO + REPORT_TYPE + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK HOLDINGS PTE LTD" + REG_NO: + type: string + description: Company Registration No + example: "197803191K" + REPORT_TYPE: + type: string + description: Report Type + example: "BIS" + REQ_DATE: + type: datetime + description: Requested Date + example: "25/02/2009 17:31:44" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197803191K" + REQ_NAME: + type: string + description: Request Name + example: "LOY KOK TOON" + REQ_DATE_STR: + type: string + description: Request Date String + example: "25/02/2009 15:04:14" + LIST_CURRENT_COMP : + type: array + description: |+ + List of current companies with following children: + [CURRENT_COMP] + example: + LIST_CURRENT_COMP: + CURRENT_COMP: + POSITION: OWNER + APPOINTMENT_DATE: 01/09/1971 + COMP_NAME: BAN HOE LEONG COMPANY + SEQ_NO: 03647300J + SHARE_VALUE1: '15.00' + COMP_STATUS: LIVE + PROFIT_VALUE1: 2008 = - + PROFIT_VALUE2: 2007 = - + PROFIT_VALUE3: 2006 = - + SHARE_VALUE: '150000' + TEL: '62994842' + FAX: '62992797' + SIC: '5012' + SIC_DESC: Automobiles and other Motor Vehicles + items: + properties: + CURRENT_COMP: + type: object + description: |+ + Current companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + PROFIT_VALUE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: + CURRENT_COMP: + POSITION: OWNER + APPOINTMENT_DATE: 01/09/1971 + COMP_NAME: BAN HOE LEONG COMPANY + SEQ_NO: 03647300J + SHARE_VALUE1: '15.00' + COMP_STATUS: LIVE + PROFIT_VALUE1: 2008 = - + PROFIT_VALUE2: 2007 = - + PROFIT_VALUE3: 2006 = - + SHARE_VALUE: '150000' + TEL: '62994842' + FAX: '62992797' + SIC: '5012' + SIC_DESC: Automobiles and other Motor Vehicles + properties: + POSITION: + type: string + description: Position + example: "OWNER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "01/09/1971" + COMP_NAME: + type: string + description: Company Name + example: "BAN HOE LEONG COMPANY" + SEQ_NO: + type: string + description: Company Registration No. + example: "03647300J" + SHARE_VALUE1: + type: string + description: Share Percentage + example: "15.00" + COMP_STATUS: + type: string + description: Company Status + example: "LIVE" + PROFIT_VALUE1: + type: string + description: Profit Making 1 + example: "2008 = -" + PROFIT_VALUE2: + type: string + description: Profit Making 2 + example: "2007 = -" + PROFIT_VALUE3: + type: string + description: Profit Making 3 + example: "2006 = -" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "150000" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "62992797" + SIC: + type: string + description: SIC Code + example: "5012" + SIC_DESC: + type: string + description: SIC Description + example: "Automobiles and other Motor Vehicles" + LIST_PREVIOUS_COMP: + type: array + example: + LIST_PREVIOUS_COMP: + PREVIOUS_COMP: + POSITION: SHAREHOLDER + APPOINTMENT_DATE: 30/06/1988 + COMP_NAME: ENG YICK INDUSTRIES PTE LTD + SEQ_NO: 198101820Z + SHARE_VALUE1: '100.00' + COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) + CESSATION_DATE: 22/09/1992 + SHARE_VALUE: '390002' + TEL: '62994842' + FAX: '67467646' + SIC: '2325' + SIC_DESC: Men’s and Boys’ Separate Trousers and Slacks + description: |+ + List of previous companies with following children: + [PREVIOUS_COMP] + items: + properties: + PREVIOUS_COMP : + type: object + description: |+ + Previous companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + CESSATION_DATE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: + PREVIOUS_COMP: + POSITION: SHAREHOLDER + APPOINTMENT_DATE: 30/06/1988 + COMP_NAME: ENG YICK INDUSTRIES PTE LTD + SEQ_NO: 198101820Z + SHARE_VALUE1: '100.00' + COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) + CESSATION_DATE: 22/09/1992 + SHARE_VALUE: '390002' + TEL: '62994842' + FAX: '67467646' + SIC: '2325' + SIC_DESC: Men’s and Boys’ Separate Trousers and Slacks + properties: + POSITION : + type: string + description: Position + example: "SHAREHOLDER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "30/06/1988" + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK INDUSTRIES PTE LTD" + SEQ_NO: + type: string + description: Company Registration No. + example: "198101820Z" + SHARE_VALUE1: + type: string + description: Share Value Percentage + example: "100.00" + COMP_STATUS: + type: string + description: Company Status + example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" + CESSATION_DATE : + type: string + description: Cessation Date + example: "22/09/1992" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "390002" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "67467646" + SIC: + type: string + description: SIC Code + example: "2325" + SIC_DESC: + type: string + description: SIC Description + example: "Men’s and Boys’ Separate Trousers and Slacks" + LIST_BANKRUPTCY: + type: array + description: |+ + Bankruptcy/ Winding up with following children: + [BANKRUPTCY] + example: + LIST_BANKRUPTCY: + BANKRUPTCY: + SUBJECT_NAME: "-" + COURT_CODE: CWU + CASE_CODE: '381' + CASE_YEAR: '2000' + ACTION_DATE: 22/12/2000 + BANKRUPTCY_ACT: Petition for Winding Up + HEARING_DATE: 26/03/2009 + CURRENCY1: "-" + AMOUNT1: '334,616.00' + CURRENCY2: "-" + AMOUNT2: '0.00' + CURRENCY3: "-" + AMOUNT3: '0.00' + BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + items: + properties: + BANKRUPTCY : + type: object + description: |+ + Bankruptcy/Winding up detail with following children: + SUBJECT_NAME + COURT_CODE + CASE_CODE + CASE_YEAR + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + BANKRUPTCY_TYPE + [LIST_PLAINTIFF] + example: + BANKRUPTCY: + SUBJECT_NAME: "-" + COURT_CODE: CWU + CASE_CODE: '381' + CASE_YEAR: '2000' + ACTION_DATE: 22/12/2000 + BANKRUPTCY_ACT: Petition for Winding Up + HEARING_DATE: 26/03/2009 + CURRENCY1: "-" + AMOUNT1: '334,616.00' + CURRENCY2: "-" + AMOUNT2: '0.00' + CURRENCY3: "-" + AMOUNT3: '0.00' + BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + properties: + SUBJECT_NAME : + type: string + description: Subject Name + example: + COURT_CODE: + type: string + description: Court Code + example: "CWU" + CASE_CODE: + type: string + description: Case Code + example: "381" + CASE_YEAR: + type: string + description: Case Year + example: "2000" + ACTION_DATE: + type: string + description: Action Date + example: "22/12/2000" + BANKRUPTCY_ACT: + type: string + description: Act of Bankruptcy + example: "Petition for Winding Up" + HEARING_DATE : + type: string + description: Hearing Date + example: "26/03/2009" + CURRENCY1: + type: string + description: Currency + example: + AMOUNT1: + type: string + description: Amount + example: "334,616.00" + CURRENCY2: + type: string + description: Currency + example: + AMOUNT2: + type: string + description: Amount + example: "0.00" + CURRENCY3: + type: string + description: Currency + example: + AMOUNT3: + type: string + description: Amount + example: "0.00" + BANKRUPTCY_TYPE: + type: string + description: Bankruptcy Type + example: "COMPANY WINDING UP PETITION" + LIST_PLAINTIFF: + type: array + description: |+ + List of Plaintiff with following children: + [PLAINTIFF] + example: + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + example: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + properties: + PLA_NAME: + type: string + description: Pla. Name + example: "B 2003 P1" + PLA_SOLICITOR: + type: string + description: Pla. Solicitor + example: "PATRICK KHOO ENG HOCK" + PLA_SOLICITOR_ID: + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "RSP/292668/1" + LIST_LIT: + type: array + description: |+ + List of litigation with following children: + [LIT] + example: + LIST_LIT: + LIT: + SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD + SEQ_NO: '1' + FORMATTED_ID: 197803191K + items: + properties: + LIT: + type: object + description: |+ + Basic litigation info with following children: + SUBJECT_NAME + SEQ_NO + FORMATTED_ID + [LIST_LIT_DTL] + example: + LIT: + SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD + SEQ_NO: '1' + FORMATTED_ID: 197803191K + properties: + SUBJECT_NAME: + type: string + description: Name + example: "ENG YICK HOLDINGS PTE LTD" + SEQ_NO: + type: integer + description: Sequence No. + example: 1 + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + LIST_LIT_DTL: + type: array + description: |+ + List of litigation detail with following children: + [LIT_DTL] + example: + LIST_LIT_DTL: + LIT_DTL: + NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED + STATUS_DATE: 13/08/2001 + CASE_NO: MC 23631 / 2001 + FORMATTED_ID: 197803191K + DOC_REMARKS: WRIT OF SUMMONS + CURRENCY1: SIN + CURRENCY2: "-" + CURRENCY3: "-" + CURRENCY4: "-" + CURRENCY5: "-" + CASE_STATUS: PENDING AS AT STATUS DATE + AMOUNT1: '36,196.00' + AMOUNT2: '0.00' + AMOUNT3: '0.00' + AMOUNT4: '0.00' + AMOUNT5: '0.00' + LIST_PLAINTIFF: + PLAINTIFF: + - PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + - PLA_NAME: ABC PTE LTD + LAW_FIRM: JAMES & JOE + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: KHOO JAMES + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 X10 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + LIST_DEFENDANT: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + items: + properties: + LIT_DTL: + type: object + description: |+ + Litigation detail with following children: + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + FORMATTED_ID + DOC_REMARKS + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + CASE_STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + [LIST_PLAINTIFF] + [LIST_DEFENDANT] + example: + LIT_DTL: + NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED + STATUS_DATE: 13/08/2001 + CASE_NO: MC 23631 / 2001 + FORMATTED_ID: 197803191K + DOC_REMARKS: WRIT OF SUMMONS + CURRENCY1: SIN + CURRENCY2: "-" + CURRENCY3: "-" + CURRENCY4: "-" + CURRENCY5: "-" + CASE_STATUS: PENDING AS AT STATUS DATE + AMOUNT1: '36,196.00' + AMOUNT2: '0.00' + AMOUNT3: '0.00' + AMOUNT4: '0.00' + AMOUNT5: '0.00' + LIST_PLAINTIFF: + PLAINTIFF: + - PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + - PLA_NAME: ABC PTE LTD + LAW_FIRM: JAMES & JOE + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: KHOO JAMES + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 X10 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + LIST_DEFENDANT: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + properties: + NATURE_OF_CLAIM: + type: string + description: Nature of Claim + example: "CONTRACTS-WORK DONE & SERVICES RENDERED" + STATUS_DATE: + type: string + description: Status Date + example: "13/08/2001" + CASE_NO: + type: string + description: Case No. + example: "MC 23631 / 2001" + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + DOC_REMARKS: + type: string + description: Document Remark + example: "WRIT OF SUMMONS" + CURRENCY1: + type: string + description: Currency 1 + example: "SIN" + CURRENCY2: + type: string + description: Currency 2 + example: + CURRENCY3: + type: string + description: Currency 3 + example: + CURRENCY4: + type: string + description: Currency 4 + example: + CURRENCY5: + type: string + description: Currency 5 + example: + CASE_STATUS: + type: string + description: Status + example: "PENDING AS AT STATUS DATE" + AMOUNT1: + type: string + description: Amount 1 + example: "36,196.00" + AMOUNT2: + type: string + description: Amount 2 + example: "0.00" + AMOUNT3: + type: string + description: Amount 3 + example: "0.00" + AMOUNT4: + type: string + description: Amount 4 + example: "0.00" + AMOUNT5: + type: string + description: Amount 5 + example: "0.00" + LIST_PLAINTIFF: + type: array + description: |+ + List of plaintiff with following children: + [PLAINTIFF] + example: + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + LAW_FIRM + WRITE_DATE + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_STATUS + PLA_STATUS_DATE + PLA_ID + example: + PLAINTIFF: + PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + properties: + PLA_NAME: + type: string + description: Plaintiff Name + example: "ROTARY PILING PTE LTD" + LAW_FIRM: + type: string + description: Pla. Law Firm + example: "JOSEPH HOO MORRIS & KUMAR" + WRITE_DATE: + type: string + description: Writ date + example: "13/08/2001" + PLA_SOLICITOR: + type: string + description: Plaintiff Solicitor + example: "HOO JOSEPH" + PLA_SOLICITOR_ID: + type: string + description: Plaintiff Solicitor ID + example: "ORS" + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "CHH 6253 D27" + PLA_STATUS: + type: string + description: Plaintiff Status + example: + PLA_STATUS_DATE: + type: string + description: Plaintiff Status Date + example: + PLA_ID: + type: string + description: Plaintiff ID + example: "S7250163B" + LIST_DEFENDANT: + type: array + description: |+ + List of defendant with following children: + [DEFENDANT] + example: + LIST_DEFENDANT: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + items: + properties: + DEFENDANT: + type: object + description: |+ + Defendant detail with following children: + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + example: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + properties: + DEF_SOLICITOR: + type: string + description: Def. Solicitor + example: + DEF_SOLICITOR_ID: + type: string + description: Def. Solicitor ID + example: N/A + DEF_LAW_FIRM: + type: string + description: Def. Law Firm + example: + DEF_FILE_REF: + type: string + description: Def. File Ref. + example: + LIST_Ddrptcount: + type: array + description: |+ + List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: + [Ddrptcount] + example: + LIST_Ddrptcount: + Ddrptcount: + Rcjan: '1' + Rcfeb: '1' + Rcmar: '1' + Rcapr: '1' + Rcmay: '1' + Rcjun: '1' + Rcjul: '1' + Rcaug: '1' + Rcsep: '1' + Rcoct: '1' + Rcnov: '1' + Rcdec: '1' + Rcyear: '2017' + Rcsecflag: '1' + items: + properties: + Ddrptcount: + type: object + description: |+ + 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcyear + Rcsecflag + example: + Ddrptcount: + Rcjan: '1' + Rcfeb: '1' + Rcmar: '1' + Rcapr: '1' + Rcmay: '1' + Rcjun: '1' + Rcjul: '1' + Rcaug: '1' + Rcsep: '1' + Rcoct: '1' + Rcnov: '1' + Rcdec: '1' + Rcyear: '2017' + Rcsecflag: '1' + properties: + Rcjan: + type: integer + description: Count for January + example: "1" + Rcfeb: + type: integer + description: Count for February + example: "1" + Rcmar: + type: integer + description: Count for March + example: "1" + Rcapr: + type: integer + description: Count for April + example: "1" + Rcmay: + type: integer + description: Count for May + example: "1" + Rcjun: + type: integer + description: Count for June + example: "1" + Rcjul: + type: integer + description: Count for July + example: "1" + Rcaug: + type: integer + description: Count for August + example: "1" + Rcsep: + type: integer + description: Count for September + example: "1" + Rcoct: + type: integer + description: Count for October + example: "1" + Rcnov: + type: integer + description: Count for November + example: "1" + Rcdec: + type: integer + description: Count for December + example: "1" + Rcyear: + type: integer + description: To show the year + example: "1" + Rcsecflag: + type: integer + description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors + example: "1" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + total_items: + type: integer + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + subject_idno: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + subject_name: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json Format + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/d&b_basic_individual_search_sg_v0.1.yaml b/data/d&b_basic_individual_search_sg_v0.1.yaml index d78bf0b54..e60238a68 100644 --- a/data/d&b_basic_individual_search_sg_v0.1.yaml +++ b/data/d&b_basic_individual_search_sg_v0.1.yaml @@ -1,1326 +1,1328 @@ -openapi: 3.0.1 -info: - title: D&B Basic Individual Search (SG) - description: |+ - This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation. - - Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. - version: '0.1.0' - x-subscribelink: d&b_basic_individual_search_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 15, 2019" -paths: - /dnb/prod/sbis: - post: - tags: - - v0.1.0 - summary: Adds a new user - requestBody: - content: - application/xml: - schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: Ok - content: - application/xml: - schema: - $ref: '#/components/schemas/success' - example: |+ - - 25/02/2009 17:31:44.678 - - - - - - 25/02/2009 17:31:44 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - S7250163B - - - - - S7250163B - - - - - - 1 1 1 1 1 1 1 1 1 1 1 1 2017 1 - - 0 0 0 0 0 0 0 0 0 0 0 0 2016 1 - - 0 0 0 0 0 0 0 0 0 0 0 0 2015 1 - - 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 - - 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 - - 0 0 0 0 0 0 0 0 0 0 0 - 0 2015 0 - - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [BASIC_INFO] - [LIT_SEARCH_INFO] - [LIST_CURRENT_COMP] - [LIST_PREVIOUS_COMP] - [LIST_BANKRUPTCY] - [LIST_LIT] - [LIST_LIT_DTL] - properties: - META_INFO: - type: object - example: |+ - - - - 25/02/2009 17:31:44.678 - - - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - properties: - SERVICE: - type: string - example: "BIS" - description: Report Requested - SYSTEM_ID : - type: string - example: "DDP" - description: System ID - CREATION_DATE: - type: datetime - example: "25/02/2009 17:31:44.678" - description: Report Request Date - USER_ID : - type: string - example: N/A - description: Valid user id in DDP system. It is for (For internal use) - BASIC_INFO : - type: object - description: |+ - Basic Information with following children: - PA_REG_NO - ADDRESS1 - ADDRESS2 - ADDRESS3 - example: |+ - - - - - - - properties: - PA_REG_NO: - type: string - description: Public Accountant Registration No. - example: "00091" - ADDRESS1: - type: string - description: Address 1 - example: "137" - ADDRESS2: - type: string - description: Address 2 - example: "vvvvv" - ADDRESS3: - type: string - description: Address 3 - example: "470137, SINGAPORE" - LIT_SEARCH_INFO : - type: object - example: |+ - - - - - 25/02/2009 17:31:44 - - - - - description: |+ - Litigation search information with following children: - COMP_NAME - REG_NO - REPORT_TYPE - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK HOLDINGS PTE LTD" - REG_NO: - type: string - description: Company Registration No - example: "197803191K" - REPORT_TYPE: - type: string - description: Report Type - example: "BIS" - REQ_DATE: - type: datetime - description: Requested Date - example: "25/02/2009 17:31:44" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197803191K" - REQ_NAME: - type: string - description: Request Name - example: "LOY KOK TOON" - REQ_DATE_STR: - type: string - description: Request Date String - example: "25/02/2009 15:04:14" - LIST_CURRENT_COMP : - type: array - description: |+ - List of current companies with following children: - [CURRENT_COMP] - example: |+ - - - - - - - - - - - - - - - - - - - items: - properties: - CURRENT_COMP: - type: object - description: |+ - Current companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - PROFIT_VALUE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: |+ - - - - - - - - - - - - - - - - - properties: - POSITION: - type: string - description: Position - example: "OWNER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "01/09/1971" - COMP_NAME: - type: string - description: Company Name - example: "BAN HOE LEONG COMPANY" - SEQ_NO: - type: string - description: Company Registration No. - example: "03647300J" - SHARE_VALUE1: - type: string - description: Share Percentage - example: "15.00" - COMP_STATUS: - type: string - description: Company Status - example: "LIVE" - PROFIT_VALUE1: - type: string - description: Profit Making 1 - example: "2008 = -" - PROFIT_VALUE2: - type: string - description: Profit Making 2 - example: "2007 = -" - PROFIT_VALUE3: - type: string - description: Profit Making 3 - example: "2006 = -" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "150000" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "62992797" - SIC: - type: string - description: SIC Code - example: "5012" - SIC_DESC: - type: string - description: SIC Description - example: "Automobiles and other Motor Vehicles" - LIST_PREVIOUS_COMP: - type: array - example: |+ - - - - - - - - - - - - - - - - - description: |+ - List of previous companies with following children: - [PREVIOUS_COMP] - items: - properties: - PREVIOUS_COMP : - type: object - description: |+ - Previous companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - CESSATION_DATE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: |+ - - - - - - - - - - - - - - - properties: - POSITION : - type: string - description: Position - example: "SHAREHOLDER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "30/06/1988" - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK INDUSTRIES PTE LTD" - SEQ_NO: - type: string - description: Company Registration No. - example: "198101820Z" - SHARE_VALUE1: - type: string - description: Share Value Percentage - example: "100.00" - COMP_STATUS: - type: string - description: Company Status - example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" - CESSATION_DATE : - type: string - description: Cessation Date - example: "22/09/1992" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "390002" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "67467646" - SIC: - type: string - description: SIC Code - example: "2325" - SIC_DESC: - type: string - description: SIC Description - example: "Men’s and Boys’ Separate Trousers and Slacks" - LIST_BANKRUPTCY: - type: array - description: |+ - Bankruptcy/ Winding up with following children: - [BANKRUPTCY] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - items: - properties: - BANKRUPTCY : - type: object - description: |+ - Bankruptcy/Winding up detail with following children: - SUBJECT_NAME - COURT_CODE - CASE_CODE - CASE_YEAR - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - BANKRUPTCY_TYPE - [LIST_PLAINTIFF] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: - COURT_CODE: - type: string - description: Court Code - example: "CWU" - CASE_CODE: - type: string - description: Case Code - example: "381" - CASE_YEAR: - type: string - description: Case Year - example: "2000" - ACTION_DATE: - type: string - description: Action Date - example: "22/12/2000" - BANKRUPTCY_ACT: - type: string - description: Act of Bankruptcy - example: "Petition for Winding Up" - HEARING_DATE : - type: string - description: Hearing Date - example: "26/03/2009" - CURRENCY1: - type: string - description: Currency - example: - AMOUNT1: - type: string - description: Amount - example: "334,616.00" - CURRENCY2: - type: string - description: Currency - example: - AMOUNT2: - type: string - description: Amount - example: "0.00" - CURRENCY3: - type: string - description: Currency - example: - AMOUNT3: - type: string - description: Amount - example: "0.00" - BANKRUPTCY_TYPE: - type: string - description: Bankruptcy Type - example: "COMPANY WINDING UP PETITION" - LIST_PLAINTIFF: - type: array - description: |+ - List of Plaintiff with following children: - [PLAINTIFF] - example: |+ - - - - - - - - - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - example: |+ - - - - - - - properties: - PLA_NAME: - type: string - description: Pla. Name - example: "B 2003 P1" - PLA_SOLICITOR: - type: string - description: Pla. Solicitor - example: "PATRICK KHOO ENG HOCK" - PLA_SOLICITOR_ID: - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "RSP/292668/1" - LIST_LIT: - type: array - description: |+ - List of litigation with following children: - [LIT] - example: |+ - - - - - - - - items: - properties: - LIT: - type: object - description: |+ - Basic litigation info with following children: - SUBJECT_NAME - SEQ_NO - FORMATTED_ID - [LIST_LIT_DTL] - example: |+ - - - - - - properties: - SUBJECT_NAME: - type: string - description: Name - example: "ENG YICK HOLDINGS PTE LTD" - SEQ_NO: - type: integer - description: Sequence No. - example: 1 - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - LIST_LIT_DTL: - type: array - description: |+ - List of litigation detail with following children: - [LIT_DTL] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - - items: - properties: - LIT_DTL: - type: object - description: |+ - Litigation detail with following children: - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - FORMATTED_ID - DOC_REMARKS - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - CASE_STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - [LIST_PLAINTIFF] - [LIST_DEFENDANT] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - - S7250163B - - - - - - - - - - - - properties: - NATURE_OF_CLAIM: - type: string - description: Nature of Claim - example: "CONTRACTS-WORK DONE & SERVICES RENDERED" - STATUS_DATE: - type: string - description: Status Date - example: "13/08/2001" - CASE_NO: - type: string - description: Case No. - example: "MC 23631 / 2001" - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - DOC_REMARKS: - type: string - description: Document Remark - example: "WRIT OF SUMMONS" - CURRENCY1: - type: string - description: Currency 1 - example: "SIN" - CURRENCY2: - type: string - description: Currency 2 - example: - CURRENCY3: - type: string - description: Currency 3 - example: - CURRENCY4: - type: string - description: Currency 4 - example: - CURRENCY5: - type: string - description: Currency 5 - example: - CASE_STATUS: - type: string - description: Status - example: "PENDING AS AT STATUS DATE" - AMOUNT1: - type: string - description: Amount 1 - example: "36,196.00" - AMOUNT2: - type: string - description: Amount 2 - example: "0.00" - AMOUNT3: - type: string - description: Amount 3 - example: "0.00" - AMOUNT4: - type: string - description: Amount 4 - example: "0.00" - AMOUNT5: - type: string - description: Amount 5 - example: "0.00" - LIST_PLAINTIFF: - type: array - description: |+ - List of plaintiff with following children: - [PLAINTIFF] - example: |+ - - - - - - - - - - - - - S7250163B - - - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - LAW_FIRM - WRITE_DATE - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_STATUS - PLA_STATUS_DATE - PLA_ID - example: |+ - - - - - - - - - - - - S7250163B - - properties: - PLA_NAME: - type: string - description: Plaintiff Name - example: "ROTARY PILING PTE LTD" - LAW_FIRM: - type: string - description: Pla. Law Firm - example: "JOSEPH HOO MORRIS & KUMAR" - WRITE_DATE: - type: string - description: Writ date - example: "13/08/2001" - PLA_SOLICITOR: - type: string - description: Plaintiff Solicitor - example: "HOO JOSEPH" - PLA_SOLICITOR_ID: - type: string - description: Plaintiff Solicitor ID - example: "ORS" - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "CHH 6253 D27" - PLA_STATUS: - type: string - description: Plaintiff Status - example: - PLA_STATUS_DATE: - type: string - description: Plaintiff Status Date - example: - PLA_ID: - type: string - description: Plaintiff ID - example: "S7250163B" - LIST_DEFENDANT: - type: array - description: |+ - List of defendant with following children: - [DEFENDANT] - example: |+ - - - - - - - - - items: - properties: - DEFENDANT: - type: object - description: |+ - Defendant detail with following children: - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - example: |+ - - - - - - - properties: - DEF_SOLICITOR: - type: string - description: Def. Solicitor - example: - DEF_SOLICITOR_ID: - type: string - description: Def. Solicitor ID - example: N/A - DEF_LAW_FIRM: - type: string - description: Def. Law Firm - example: - DEF_FILE_REF: - type: string - description: Def. File Ref. - example: - LIST_Ddrptcount: - type: array - description: |+ - List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: - [Ddrptcount] - example: |+ - - - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 2017 - 1 - - - items: - properties: - Ddrptcount: - type: object - description: |+ - 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcyear - Rcsecflag - example: |+ - - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 2017 - 1 - - properties: - Rcjan: - type: integer - description: Count for January - example: "1" - Rcfeb: - type: integer - description: Count for February - example: "1" - Rcmar: - type: integer - description: Count for March - example: "1" - Rcapr: - type: integer - description: Count for April - example: "1" - Rcmay: - type: integer - description: Count for May - example: "1" - Rcjun: - type: integer - description: Count for June - example: "1" - Rcjul: - type: integer - description: Count for July - example: "1" - Rcaug: - type: integer - description: Count for August - example: "1" - Rcsep: - type: integer - description: Count for September - example: "1" - Rcoct: - type: integer - description: Count for October - example: "1" - Rcnov: - type: integer - description: Count for November - example: "1" - Rcdec: - type: integer - description: Count for December - example: "1" - Rcyear: - type: integer - description: To show the year - example: "1" - Rcsecflag: - type: integer - description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors - example: "1" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - REQUEST: - type: object - properties: - TOT_ITEMS: - type: integer - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: - type: object - example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD - description: Contains information of each request details - default: true - properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json Format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: D&B Basic Individual Search (SG) + description: |+ + This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation. + - Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. + version: '0.1.0' + x-subscribelink: d&b_basic_individual_search_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves information on the business interest and involvement of an individual residing in Singapore. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 15, 2019" +paths: + /dnb/prod/sbis: + post: + tags: + - v0.1.0 + summary: Adds a new user + requestBody: + content: + application/xml: + schema: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: Ok + content: + application/xml: + schema: + $ref: '#/components/schemas/success' + example: |+ + + 25/02/2009 17:31:44.678 + + + + + + 25/02/2009 17:31:44 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - S7250163B + + + - - S7250163B + + + + + + 1 1 1 1 1 1 1 1 1 1 1 1 2017 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2016 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2015 1 + + 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 + + 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 + + 0 0 0 0 0 0 0 0 0 0 0 + 0 2015 0 + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [BASIC_INFO] + [LIT_SEARCH_INFO] + [LIST_CURRENT_COMP] + [LIST_PREVIOUS_COMP] + [LIST_BANKRUPTCY] + [LIST_LIT] + [LIST_LIT_DTL] + properties: + META_INFO: + type: object + example: |+ + + + + 25/02/2009 17:31:44.678 + + + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + properties: + SERVICE: + type: string + example: "BIS" + description: Report Requested + SYSTEM_ID : + type: string + example: "DDP" + description: System ID + CREATION_DATE: + type: datetime + example: "25/02/2009 17:31:44.678" + description: Report Request Date + USER_ID : + type: string + example: N/A + description: Valid user id in DDP system. It is for (For internal use) + BASIC_INFO : + type: object + description: |+ + Basic Information with following children: + PA_REG_NO + ADDRESS1 + ADDRESS2 + ADDRESS3 + example: |+ + + + + + + + properties: + PA_REG_NO: + type: string + description: Public Accountant Registration No. + example: "00091" + ADDRESS1: + type: string + description: Address 1 + example: "137" + ADDRESS2: + type: string + description: Address 2 + example: "vvvvv" + ADDRESS3: + type: string + description: Address 3 + example: "470137, SINGAPORE" + LIT_SEARCH_INFO : + type: object + example: |+ + + + + + 25/02/2009 17:31:44 + + + + + description: |+ + Litigation search information with following children: + COMP_NAME + REG_NO + REPORT_TYPE + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK HOLDINGS PTE LTD" + REG_NO: + type: string + description: Company Registration No + example: "197803191K" + REPORT_TYPE: + type: string + description: Report Type + example: "BIS" + REQ_DATE: + type: datetime + description: Requested Date + example: "25/02/2009 17:31:44" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197803191K" + REQ_NAME: + type: string + description: Request Name + example: "LOY KOK TOON" + REQ_DATE_STR: + type: string + description: Request Date String + example: "25/02/2009 15:04:14" + LIST_CURRENT_COMP : + type: array + description: |+ + List of current companies with following children: + [CURRENT_COMP] + example: |+ + + + + + + + + + + + + + + + + + + + items: + properties: + CURRENT_COMP: + type: object + description: |+ + Current companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + PROFIT_VALUE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: |+ + + + + + + + + + + + + + + + + + properties: + POSITION: + type: string + description: Position + example: "OWNER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "01/09/1971" + COMP_NAME: + type: string + description: Company Name + example: "BAN HOE LEONG COMPANY" + SEQ_NO: + type: string + description: Company Registration No. + example: "03647300J" + SHARE_VALUE1: + type: string + description: Share Percentage + example: "15.00" + COMP_STATUS: + type: string + description: Company Status + example: "LIVE" + PROFIT_VALUE1: + type: string + description: Profit Making 1 + example: "2008 = -" + PROFIT_VALUE2: + type: string + description: Profit Making 2 + example: "2007 = -" + PROFIT_VALUE3: + type: string + description: Profit Making 3 + example: "2006 = -" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "150000" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "62992797" + SIC: + type: string + description: SIC Code + example: "5012" + SIC_DESC: + type: string + description: SIC Description + example: "Automobiles and other Motor Vehicles" + LIST_PREVIOUS_COMP: + type: array + example: |+ + + + + + + + + + + + + + + + + + description: |+ + List of previous companies with following children: + [PREVIOUS_COMP] + items: + properties: + PREVIOUS_COMP : + type: object + description: |+ + Previous companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + CESSATION_DATE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: |+ + + + + + + + + + + + + + + + properties: + POSITION : + type: string + description: Position + example: "SHAREHOLDER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "30/06/1988" + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK INDUSTRIES PTE LTD" + SEQ_NO: + type: string + description: Company Registration No. + example: "198101820Z" + SHARE_VALUE1: + type: string + description: Share Value Percentage + example: "100.00" + COMP_STATUS: + type: string + description: Company Status + example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" + CESSATION_DATE : + type: string + description: Cessation Date + example: "22/09/1992" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "390002" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "67467646" + SIC: + type: string + description: SIC Code + example: "2325" + SIC_DESC: + type: string + description: SIC Description + example: "Men’s and Boys’ Separate Trousers and Slacks" + LIST_BANKRUPTCY: + type: array + description: |+ + Bankruptcy/ Winding up with following children: + [BANKRUPTCY] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + items: + properties: + BANKRUPTCY : + type: object + description: |+ + Bankruptcy/Winding up detail with following children: + SUBJECT_NAME + COURT_CODE + CASE_CODE + CASE_YEAR + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + BANKRUPTCY_TYPE + [LIST_PLAINTIFF] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + properties: + SUBJECT_NAME : + type: string + description: Subject Name + example: + COURT_CODE: + type: string + description: Court Code + example: "CWU" + CASE_CODE: + type: string + description: Case Code + example: "381" + CASE_YEAR: + type: string + description: Case Year + example: "2000" + ACTION_DATE: + type: string + description: Action Date + example: "22/12/2000" + BANKRUPTCY_ACT: + type: string + description: Act of Bankruptcy + example: "Petition for Winding Up" + HEARING_DATE : + type: string + description: Hearing Date + example: "26/03/2009" + CURRENCY1: + type: string + description: Currency + example: + AMOUNT1: + type: string + description: Amount + example: "334,616.00" + CURRENCY2: + type: string + description: Currency + example: + AMOUNT2: + type: string + description: Amount + example: "0.00" + CURRENCY3: + type: string + description: Currency + example: + AMOUNT3: + type: string + description: Amount + example: "0.00" + BANKRUPTCY_TYPE: + type: string + description: Bankruptcy Type + example: "COMPANY WINDING UP PETITION" + LIST_PLAINTIFF: + type: array + description: |+ + List of Plaintiff with following children: + [PLAINTIFF] + example: |+ + + + + + + + + + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + example: |+ + + + + + + + properties: + PLA_NAME: + type: string + description: Pla. Name + example: "B 2003 P1" + PLA_SOLICITOR: + type: string + description: Pla. Solicitor + example: "PATRICK KHOO ENG HOCK" + PLA_SOLICITOR_ID: + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "RSP/292668/1" + LIST_LIT: + type: array + description: |+ + List of litigation with following children: + [LIT] + example: |+ + + + + + + + + items: + properties: + LIT: + type: object + description: |+ + Basic litigation info with following children: + SUBJECT_NAME + SEQ_NO + FORMATTED_ID + [LIST_LIT_DTL] + example: |+ + + + + + + properties: + SUBJECT_NAME: + type: string + description: Name + example: "ENG YICK HOLDINGS PTE LTD" + SEQ_NO: + type: integer + description: Sequence No. + example: 1 + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + LIST_LIT_DTL: + type: array + description: |+ + List of litigation detail with following children: + [LIT_DTL] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + S7250163B + + + + + + + + + - + - + S7250163B + + + + + + + + + + + + + items: + properties: + LIT_DTL: + type: object + description: |+ + Litigation detail with following children: + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + FORMATTED_ID + DOC_REMARKS + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + CASE_STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + [LIST_PLAINTIFF] + [LIST_DEFENDANT] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + S7250163B + + + + + + + + + - + - + S7250163B + + + + + + + + + + + + properties: + NATURE_OF_CLAIM: + type: string + description: Nature of Claim + example: "CONTRACTS-WORK DONE & SERVICES RENDERED" + STATUS_DATE: + type: string + description: Status Date + example: "13/08/2001" + CASE_NO: + type: string + description: Case No. + example: "MC 23631 / 2001" + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + DOC_REMARKS: + type: string + description: Document Remark + example: "WRIT OF SUMMONS" + CURRENCY1: + type: string + description: Currency 1 + example: "SIN" + CURRENCY2: + type: string + description: Currency 2 + example: + CURRENCY3: + type: string + description: Currency 3 + example: + CURRENCY4: + type: string + description: Currency 4 + example: + CURRENCY5: + type: string + description: Currency 5 + example: + CASE_STATUS: + type: string + description: Status + example: "PENDING AS AT STATUS DATE" + AMOUNT1: + type: string + description: Amount 1 + example: "36,196.00" + AMOUNT2: + type: string + description: Amount 2 + example: "0.00" + AMOUNT3: + type: string + description: Amount 3 + example: "0.00" + AMOUNT4: + type: string + description: Amount 4 + example: "0.00" + AMOUNT5: + type: string + description: Amount 5 + example: "0.00" + LIST_PLAINTIFF: + type: array + description: |+ + List of plaintiff with following children: + [PLAINTIFF] + example: |+ + + + + + + + + + - + - + S7250163B + + + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + LAW_FIRM + WRITE_DATE + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_STATUS + PLA_STATUS_DATE + PLA_ID + example: |+ + + + + + + + + - + - + S7250163B + + properties: + PLA_NAME: + type: string + description: Plaintiff Name + example: "ROTARY PILING PTE LTD" + LAW_FIRM: + type: string + description: Pla. Law Firm + example: "JOSEPH HOO MORRIS & KUMAR" + WRITE_DATE: + type: string + description: Writ date + example: "13/08/2001" + PLA_SOLICITOR: + type: string + description: Plaintiff Solicitor + example: "HOO JOSEPH" + PLA_SOLICITOR_ID: + type: string + description: Plaintiff Solicitor ID + example: "ORS" + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "CHH 6253 D27" + PLA_STATUS: + type: string + description: Plaintiff Status + example: + PLA_STATUS_DATE: + type: string + description: Plaintiff Status Date + example: + PLA_ID: + type: string + description: Plaintiff ID + example: "S7250163B" + LIST_DEFENDANT: + type: array + description: |+ + List of defendant with following children: + [DEFENDANT] + example: |+ + + + + + + + + + items: + properties: + DEFENDANT: + type: object + description: |+ + Defendant detail with following children: + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + example: |+ + + + + + + + properties: + DEF_SOLICITOR: + type: string + description: Def. Solicitor + example: + DEF_SOLICITOR_ID: + type: string + description: Def. Solicitor ID + example: N/A + DEF_LAW_FIRM: + type: string + description: Def. Law Firm + example: + DEF_FILE_REF: + type: string + description: Def. File Ref. + example: + LIST_Ddrptcount: + type: array + description: |+ + List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: + [Ddrptcount] + example: |+ + + + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 2017 + 1 + + + items: + properties: + Ddrptcount: + type: object + description: |+ + 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcyear + Rcsecflag + example: |+ + + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 2017 + 1 + + properties: + Rcjan: + type: integer + description: Count for January + example: "1" + Rcfeb: + type: integer + description: Count for February + example: "1" + Rcmar: + type: integer + description: Count for March + example: "1" + Rcapr: + type: integer + description: Count for April + example: "1" + Rcmay: + type: integer + description: Count for May + example: "1" + Rcjun: + type: integer + description: Count for June + example: "1" + Rcjul: + type: integer + description: Count for July + example: "1" + Rcaug: + type: integer + description: Count for August + example: "1" + Rcsep: + type: integer + description: Count for September + example: "1" + Rcoct: + type: integer + description: Count for October + example: "1" + Rcnov: + type: integer + description: Count for November + example: "1" + Rcdec: + type: integer + description: Count for December + example: "1" + Rcyear: + type: integer + description: To show the year + example: "1" + Rcsecflag: + type: integer + description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors + example: "1" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: integer + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json Format + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index eebade41d..35599bd4d 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -1,1613 +1,1615 @@ -openapi: 3.0.1 -info: - title: D&B Brief Financial Information (SG) - description: This Data microservice provides an annual financial information of Singapore-registered businesses which includes profit and loss and financial ratios. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios. - - Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. - version: '1.0.0' - x-subscribelink: d&b_brief_financial_information_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/sbfe/v1/getdata: - post: - tags: - - v1.0.0 - summary: Adds a new user - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - META_INFO: - SERVICE: BFE - SYSTEM_ID: DDP - CREATION_DATE: 25/02/2009 17:31:44> - USER_ID: plcust102 - FH_SEARCH_INFO: - COMP_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. - REG_NO: 200003058W - REQ_DATE: '2009-04-21 10:56:06.716' - REQ_REG_NO: 200003058W - REQ_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. - REQ_DATE_STR: 21/04/2009 10:56:06 - FH_BEFORE_YR1: '2004' - FH_BEFORE_YR2: '2003' - FH_BEFORE_YR3: '2002' - FH_AFTER_YR1: '2005' - FH_AFTER_YR2: '2006' - FH_AFTER_YR3: '2007' - FH_AFTER_YR4: '2008' - FH_AFTER_YR5: '2009' - AC_RATIOS_YR1: '2008' - AC_RATIOS_YR2: '2007' - AC_RATIOS_YR3: '2006' - AC_RATIOS_YR4: '2005' - AC_RATIOS_YR5: '2004' - FH_DTL: - FH_YR1_CURR: "(SGD)" - FH_YR2_CURR: "(SGD)" - FH_YR3_CURR: "(SGD)" - TURNOVER1: '9403795.00' - TURNOVER2: '8617168.00' - TURNOVER3: '7807393.00' - PL_BEF_TAX1: '31467.00' - PL_BEF_TAX2: '162620.00' - PL_BEF_TAX3: '1281387.00' - PL_AFT_TAX1: '31467.00' - PL_AFT_TAX2: '162620.00' - PL_AFT_TAX3: '1281387.00' - NETINC_NON_EXT1: '0.00' - NETINC_NON_EXT2: '0.00' - NETINC_NON_EXT3: 60318.00> - PL_AFT_TAX_EXT1: '31467.00' - PL_AFT_TAX_EXT2: '162620.00' - PL_AFT_TAX_EXT3: '1341705.00' - TOT_ASSETS1: '3889213.00' - TOT_ASSETS2: '3395740.00' - TOT_ASSETS3: '4374368.00' - TA_CURRENT1: '3359007.00' - TA_CURRENT2: '2855754.00' - TA_CURRENT3: '3546381.00' - TA_FIXED1: '530206.00' - TA_FIXED2: '539986.00' - TA_FIXED3: 827987.00> - TOT_LIABILITIES1: '7370430.00' - TOT_LIABILITIES2: '6845490.00' - TOT_LIABILITIES3: '7661498.00' - TL_CURRENT1: '6739073.00' - TL_CURRENT2: '6157560.00' - TL_CURRENT3: '6435365.00' - TL_NON_CURRENT1: '631357.00' - TL_NON_CURRENT2: '687930.00' - TL_NON_CURRENT3: '122133.00' - SH_FUNDS1: "-3481217.00" - SH_FUNDS2: "-3449750.00" - SH_FUNDS3: "-3287130.00" - SH_PAIDUP_CAPITAL1: '2000000.00' - SH_PAIDUP_CAPITAL2: '2000000.00' - SH_PAIDUP_CAPITAL3: '2000000.00' - SH_RESERVES1: '0.00' - SH_RESERVES2: '0.00' - SH_RESERVES3: '0.00' - SH_ACCUM_LOSS1: '5481217.00' - SH_ACCUM_LOSS2: '5449750.00' - SH_ACCUM_LOSS3: '5287130.00' - GRP_TURNOVER1: '0.00' - GRP_TURNOVER2: '0.00' - GRP_TURNOVER3: '0.00' - GRP_PL_BEF_TAX1: '0.00' - GRP_PL_BEF_TAX2: '0.00' - GRP_PL_BEF_TAX3: '0.00' - GRP_PL_AFT_TAX1: '0.00' - GRP_PL_AFT_TAX2: '0.00' - GRP_PL_AFT_TAX3: '0.00' - GRP_NETINC_NON_EXT1: '0.00' - GRP_NETINC_NON_EXT2: '0.00' - GRP_NETINC_NON_EXT3: '0.00' - GRP_PL_AFT_TAX_EXT1: '0.00' - GRP_PL_AFT_TAX_EXT2: '0.00' - GRP_PL_AFT_TAX_EXT3: '0.00' - GRP_TOT_ASSETS1: '0.00' - GRP_TOT_ASSETS2: '0.00' - GRP_TOT_ASSETS3: '0.00' - GRP_TA_CURRENT1: '0.00' - GRP_TA_CURRENT2: '0.00' - GRP_TA_CURRENT3: '0.00' - GRP_TA_FIXED1: '0.00' - GRP_TA_FIXED2: '0.00' - GRP_TA_FIXED3: '0.00' - GRP_TOT_LIABILITIES1: '0.00' - GRP_TOT_LIABILITIES2: '0.00' - GRP_TOT_LIABILITIES3: '0.00' - GRP_TL_CURRENT1: '0.00' - GRP_TL_CURRENT2: '0.00' - GRP_TL_CURRENT3: '0.00' - GRP_TL_NON_CURRENT1: '0.00' - GRP_TL_NON_CURRENT2: '0.00' - GRP_TL_NON_CURRENT3: '0.00' - GRP_SH_FUNDS1: '0.00' - GRP_SH_FUNDS2: '0.00' - GRP_SH_FUNDS3: '0.00' - GRP_SH_PAIDUP_CAPITAL1: '0.00' - GRP_SH_PAIDUP_CAPITAL2: '0.00' - GRP_SH_PAIDUP_CAPITAL3: '0.00' - GRP_SH_RESERVES1: '0.00' - GRP_SH_RESERVES2: '0.00' - GRP_SH_RESERVES3: '0.00' - GRP_SH_ACCUM_LOSS1: '0.00' - GRP_SH_ACCUM_LOSS2: '0.00' - GRP_SH_ACCUM_LOSS3: '0.00' - GRP_INDICATOR1: B - GRP_INDICATOR2: B - GRP_INDICATOR3: B - XBRL_DTL: - XBRL_YR1_CURR: "(SGD)" - XBRL_YR2_CURR: "(SGD)" - REVENUE1: '10877254.00' - REVENUE2: '9982533.00' - PL_BEF_TAX1: '1121483.00' - PL_BEF_TAX2: '262632.00' - PL_AFT_TAX1: '1347380.00' - PL_AFT_TAX2: '262632.00' - TOT_ASSETS1: '6562990.00' - TOT_ASSETS2: '5424551.00' - TA_CURRENT1: '6283449.00' - TA_CURRENT2: '4948821.00' - TA_NON_CURRENT1: '279541.00' - TA_NON_CURRENT2: '475730.00' - TOT_LIABILITIES1: '8434195.00' - TOT_LIABILITIES2: '8643136.00' - TL_CURRENT1: '8434195.00' - TL_CURRENT2: '7933013.00' - TL_NON_CURRENT1: '0.00' - TL_NON_CURRENT2: '710123.00' - TOT_EQUITY1: "-1871205.00" - TOT_EQUITY2: "-3218585.00" - EQ_SH_CAPITAL1: '2000000.00' - EQ_SH_CAPITAL2: '2000000.00' - EQ_RESERVES1: '0.00' - EQ_RESERVES2: '0.00' - EQ_RETAINED_EARN1: "-3,871,205.00" - EQ_RETAINED_EARN2: "-5,218,585.00" - GRP_REVENUE1: '0.00' - GRP_REVENUE2: '0.00' - GRP_PL_BEF_TAX1: '0.00' - GRP_PL_BEF_TAX2: '0.00' - GRP_PL_AFT_TAX1: '0.00' - GRP_PL_AFT_TAX2: '0.00' - GRP_TOT_ASSETS1: '0.00' - GRP_TOT_ASSETS2: '0.00' - GRP_TA_CURRENT1: '0.00' - GRP_TA_CURRENT2: '0.00' - GRP_TA_NON_CURRENT1: '0.00' - GRP_TA_NON_CURRENT2: '0.00' - GRP_TOT_LIABILITIES1: '0.00' - GRP_TOT_LIABILITIES2: '0.00' - GRP_TL_CURRENT1: '0.00' - GRP_TL_CURRENT2: '0.00' - GRP_TL_NON_CURRENT1: '0.00' - GRP_TL_NON_CURRENT2: '0.00' - GRP_TOT_EQUITY1: '0.00' - GRP_TOT_EQUITY2: '0.00' - GRP_SH_CAPITAL1: '0.00' - GRP_SH_CAPITAL2: '0.00' - GRP_RESERVES1: '0.00' - GRP_RESERVES2: '0.00' - GRP_RETAINED_EARN1: '0.00' - GRP_RETAINED_EARN2: '0.00' - GRP_INDICATOR1: B - GRP_INDICATOR2: B - GRP_INDICATOR3: B - FH_RATIOS_DTL: - RATE_NET_PROFIT1: '12.39' - RATE_NET_PROFIT2: '2.63' - RATE_NET_PROFIT3: '0.00' - RATE_NET_PROFIT4: '0.00' - RATE_NET_PROFIT5: '0.00' - RET_INVESTMENT1: '20.53' - RET_INVESTMENT2: '4.84' - RET_INVESTMENT3: '0.00' - RET_INVESTMENT4: '0.00' - RET_INVESTMENT5: '0.00' - RET_SH_FUNDS1: "-72.01" - RET_SH_FUNDS2: "-8.16" - RET_SH_FUNDS3: "-0.00" - RET_SH_FUNDS4: "-0.00" - RET_SH_FUNDS5: "-0.00" - TOT_ASSETS_TURNOVER1: '1.66' - TOT_ASSETS_TURNOVER2: '1.84' - TOT_ASSETS_TURNOVER3: '2.42' - TOT_ASSETS_TURNOVER4: '2.54' - TOT_ASSETS_TURNOVER5: '1.78' - CURR_CAPITAL_RATIO1: '0.74' - CURR_CAPITAL_RATIO2: '0.62' - CURR_CAPITAL_RATIO3: '0.50' - CURR_CAPITAL_RATIO4: '0.46' - CURR_CAPITAL_RATIO5: '0.55' - PROPRIETARY_RATIO1: "-28.51" - PROPRIETARY_RATIO2: "-59.33" - PROPRIETARY_RATIO3: "-89.51" - PROPRIETARY_RATIO4: "-101.59" - PROPRIETARY_RATIO5: "-75.15" - TOTAL_DEBT_RATIO1: '128.51' - TOTAL_DEBT_RATIO2: '168.27' - TOTAL_DEBT_RATIO3: '189.51' - TOTAL_DEBT_RATIO4: '201.59' - TOTAL_DEBT_RATIO5: '175.15' - LIST_FH_CHART_INFO: - - PROFIT_LOSS: '1121483.0' - REVENUE: '10877254' - YEAR: '2008' - - PROFIT_LOSS: 262632.0> - REVENUE: '9982533' - YEAR: '2007' - - PROFIT_LOSS: "-31467.0" - REVENUE: '9403795' - YEAR: '2006' - - PROFIT_LOSS: "-162620.0" - REVENUE: '8617168' - YEAR: '2005' - - PROFIT_LOSS: "-1281387.0" - REVENUE: '7807393' - YEAR: '2004' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - description: |+ - Report details with following children: - [META_INFO] - [FH_SEARCH_INFO] - [FH_DTL] - [XBRL_DTL] - [FH_RATIO_DTL] - [LIST_FH_CHART_INFO] - example: - properties: - META_INFO: - type: object - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - example: - META_INFO: - SERVICE: BFE - SYSTEM_ID: DDP - CREATION_DATE: 25/02/2009 17:31:44> - USER_ID: plcust102 - properties: - SERVICE: - type: string - description: Report Requested - example: "BFE" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: string - description: Report Request Date - example: "25/02/2009 17:31:44" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - FH_SEARCH_INFO: - type: object - description: |+ - FH search information with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - FH_BEFORE_YR1 - FH_BEFORE_YR2 - FH_BEFORE_YR3 - FH_BEFORE_YR4 - FH_BEFORE_YR5 - FH_AFTER_YR1 - FH_AFTER_YR2 - FH_AFTER_YR3 - FH_AFTER_YR4 - FH_AFTER_YR5 - AC_RATIOS_YR1 - AC_RATIOS_YR2 - AC_RATIOS_YR3 - AC_RATIOS_YR4 - AC_RATIOS_YR5 - example: - FH_SEARCH_INFO: - COMP_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. - REG_NO: 200003058W - REQ_DATE: '2009-04-21 10:56:06.716' - REQ_REG_NO: 200003058W - REQ_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. - REQ_DATE_STR: 21/04/2009 10:56:06 - FH_BEFORE_YR1: '2004' - FH_BEFORE_YR2: '2003' - FH_BEFORE_YR3: '2002' - FH_AFTER_YR1: '2005' - FH_AFTER_YR2: '2006' - FH_AFTER_YR3: '2007' - FH_AFTER_YR4: '2008' - FH_AFTER_YR5: '2009' - AC_RATIOS_YR1: '2008' - AC_RATIOS_YR2: '2007' - AC_RATIOS_YR3: '2006' - AC_RATIOS_YR4: '2005' - AC_RATIOS_YR5: '2004' - properties: - COMP_NAME : - type: string - description: Company Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REG_NO : - type: string - description: Company Registration No - example: "200003058W" - REQ_DATE : - type: datetime - description: Requested Date - example: "2009-04-21 10:56:06.716" - REQ_REG_NO : - type: string - description: Request Registration Number - example: "200003058W" - REQ_NAME : - type: string - description: Request Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REQ_DATE_STR : - type: string - description: Request Date String - example: "21/04/2009 10:56:06" - FH_BEFORE_YR1 : - type: string - description: Financial Highlight filed before year 1 - example: "2004" - FH_BEFORE_YR2 : - type: string - description: Financial Highlight filed before year 2 - example: "2003" - FH_BEFORE_YR3 : - type: string - description: Financial Highlight filed before year 3 - example: "2002" - FH_AFTER_YR1: - type: string - description: Financial Highlight filed after year 1 - example: "2005" - FH_AFTER_YR2 : - type: string - description: Financial Highlight filed after year 2 - example: "2006" - FH_AFTER_YR3 : - type: string - description: Financial Highlight filed after year 3 - example: "2007" - FH_AFTER_YR4: - type: string - description: Financial Highlight filed after year 4 - example: "2008" - FH_AFTER_YR5: - type: string - description: Financial Highlight filed after year 5 - example: "2009" - AC_RATIOS_YR1 : - type: string - description: Account Ratio year 1 - example: "2008" - AC_RATIOS_YR2 : - type: string - description: Account Ratio year 2 - example: "2007" - AC_RATIOS_YR3 : - type: string - description: Account Ratio year 3 - example: "2006" - AC_RATIOS_YR4 : - type: string - description: Account Ratio year 4 - example: "2005" - AC_RATIOS_YR5 : - type: string - description: Account Ratio year 5 - example: "2004" - FH_DTL: - type: object - description: |+ - Financial Highlight with following children: - FH_YR1_CURR - TURNOVER1 - PL_BEF_TAX1 - PL_AFT_TAX1 - NETINC_NON_EXT1 - PL_AFT_TAX_EXT1 - TOT_ASSETS1 - TA_CURRENT1 - TA_FIXED1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - SH_FUNDS1 - SH_PAIDUP_CAPITAL1 - SH_RESERVES1 - SH_ACCUM_LOSS1 - GRP_TURNOVER1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_NETINC_NON_EXT1 - GRP_PL_AFT_TAX_EXT1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_FIXED1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_SH_FUNDS1 - GRP_SH_PAIDUP_CAPITAL1 - GRP_SH_RESERVES1 - GRP_SH_ACCUM_LOSS1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. - example: - FH_DTL: - FH_YR1_CURR: "(SGD)" - FH_YR2_CURR: "(SGD)" - FH_YR3_CURR: "(SGD)" - TURNOVER1: '9403795.00' - TURNOVER2: '8617168.00' - TURNOVER3: '7807393.00' - PL_BEF_TAX1: '31467.00' - PL_BEF_TAX2: '162620.00' - PL_BEF_TAX3: '1281387.00' - PL_AFT_TAX1: '31467.00' - PL_AFT_TAX2: '162620.00' - PL_AFT_TAX3: '1281387.00' - NETINC_NON_EXT1: '0.00' - NETINC_NON_EXT2: '0.00' - NETINC_NON_EXT3: 60318.00> - PL_AFT_TAX_EXT1: '31467.00' - PL_AFT_TAX_EXT2: '162620.00' - PL_AFT_TAX_EXT3: '1341705.00' - TOT_ASSETS1: '3889213.00' - TOT_ASSETS2: '3395740.00' - TOT_ASSETS3: '4374368.00' - TA_CURRENT1: '3359007.00' - TA_CURRENT2: '2855754.00' - TA_CURRENT3: '3546381.00' - TA_FIXED1: '530206.00' - TA_FIXED2: '539986.00' - TA_FIXED3: 827987.00> - TOT_LIABILITIES1: '7370430.00' - TOT_LIABILITIES2: '6845490.00' - TOT_LIABILITIES3: '7661498.00' - TL_CURRENT1: '6739073.00' - TL_CURRENT2: '6157560.00' - TL_CURRENT3: '6435365.00' - TL_NON_CURRENT1: '631357.00' - TL_NON_CURRENT2: '687930.00' - TL_NON_CURRENT3: '122133.00' - SH_FUNDS1: "-3481217.00" - SH_FUNDS2: "-3449750.00" - SH_FUNDS3: "-3287130.00" - SH_PAIDUP_CAPITAL1: '2000000.00' - SH_PAIDUP_CAPITAL2: '2000000.00' - SH_PAIDUP_CAPITAL3: '2000000.00' - SH_RESERVES1: '0.00' - SH_RESERVES2: '0.00' - SH_RESERVES3: '0.00' - SH_ACCUM_LOSS1: '5481217.00' - SH_ACCUM_LOSS2: '5449750.00' - SH_ACCUM_LOSS3: '5287130.00' - GRP_TURNOVER1: '0.00' - GRP_TURNOVER2: '0.00' - GRP_TURNOVER3: '0.00' - GRP_PL_BEF_TAX1: '0.00' - GRP_PL_BEF_TAX2: '0.00' - GRP_PL_BEF_TAX3: '0.00' - GRP_PL_AFT_TAX1: '0.00' - GRP_PL_AFT_TAX2: '0.00' - GRP_PL_AFT_TAX3: '0.00' - GRP_NETINC_NON_EXT1: '0.00' - GRP_NETINC_NON_EXT2: '0.00' - GRP_NETINC_NON_EXT3: '0.00' - GRP_PL_AFT_TAX_EXT1: '0.00' - GRP_PL_AFT_TAX_EXT2: '0.00' - GRP_PL_AFT_TAX_EXT3: '0.00' - GRP_TOT_ASSETS1: '0.00' - GRP_TOT_ASSETS2: '0.00' - GRP_TOT_ASSETS3: '0.00' - GRP_TA_CURRENT1: '0.00' - GRP_TA_CURRENT2: '0.00' - GRP_TA_CURRENT3: '0.00' - GRP_TA_FIXED1: '0.00' - GRP_TA_FIXED2: '0.00' - GRP_TA_FIXED3: '0.00' - GRP_TOT_LIABILITIES1: '0.00' - GRP_TOT_LIABILITIES2: '0.00' - GRP_TOT_LIABILITIES3: '0.00' - GRP_TL_CURRENT1: '0.00' - GRP_TL_CURRENT2: '0.00' - GRP_TL_CURRENT3: '0.00' - GRP_TL_NON_CURRENT1: '0.00' - GRP_TL_NON_CURRENT2: '0.00' - GRP_TL_NON_CURRENT3: '0.00' - GRP_SH_FUNDS1: '0.00' - GRP_SH_FUNDS2: '0.00' - GRP_SH_FUNDS3: '0.00' - GRP_SH_PAIDUP_CAPITAL1: '0.00' - GRP_SH_PAIDUP_CAPITAL2: '0.00' - GRP_SH_PAIDUP_CAPITAL3: '0.00' - GRP_SH_RESERVES1: '0.00' - GRP_SH_RESERVES2: '0.00' - GRP_SH_RESERVES3: '0.00' - GRP_SH_ACCUM_LOSS1: '0.00' - GRP_SH_ACCUM_LOSS2: '0.00' - GRP_SH_ACCUM_LOSS3: '0.00' - GRP_INDICATOR1: B - GRP_INDICATOR2: B - GRP_INDICATOR3: B - properties: - FH_YR1_CURR : - type: string - description: |+ - FH Before Year 1 Currency - Subsequent Years: - FH_YR2_CURR - FH_YR3_CURR - FH_YR4_CURR - FH_YR5_CURR - example: "(SGD)" - TURNOVER1 : - type: string - description: |+ - Turnover / Sales And Other Operating Revenues - Subsequent Years: - TURNOVER2 - TURNOVER3 - TURNOVER4 - TURNOVER5 - example: "9403795.00" - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: "31467.00" - PL_AFT_TAX1: - type: string - description: |+ - Profit / Loss After Tax - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: "31467.00" - NETINC_NON_EXT1: - type: string - description: |+ - Net Income / Loss From Extraordinary And Non- Operating Items - Subsequent Years: - NETINC_NON_EXT2 - NETINC_NON_EXT3 - NETINC_NON_EXT4 - NETINC_NON_EXT5 - example: "0.00" - PL_AFT_TAX_EXT1 : - type: string - description: |+ - Profit / Loss After Tax and Extraordinary Items - Subsequent Years: - PL_AFT_TAX_EXT2 - PL_AFT_TAX_EXT3 - PL_AFT_TAX_EXT4 - PL_AFT_TAX_EXT5 - example: "31467.00" - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: "3889213.00" - TA_CURRENT1 : - type: string - description: |+ - Total Assets - Current - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: "3359007.00" - TA_FIXED1 : - type: string - description: |+ - Total Assets – Fixed and Others - Subsequent Years: - TA_FIXED2 - TA_FIXED3 - TA_FIXED4 - TA_FIXED5 - example: "530206.00" - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: "7370430.00" - TL_CURRENT1 : - type: string - description: |+ - Total Liabilities - Current - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: "6739073.00" - TL_NON_CURRENT1 : - type: string - description: |+ - Total Liabilities – Non- Current & Long Term - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: "631357.00" - SH_FUNDS1: - type: string - description: |+ - Shareholder’s Fund - Subsequent Years: - SH_FUNDS2 - SH_FUNDS3 - SH_FUNDS4 - SH_FUNDS5 - example: "-3481217.00" - SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Shareholder’s Fund – Paid Up Capital - Subsequent Years: - SH_PAIDUP_CAPITAL2 - SH_PAIDUP_CAPITAL3 - SH_PAIDUP_CAPITAL4 - SH_PAIDUP_CAPITAL5 - example: "2000000.00" - SH_RESERVES1 : - type: string - description: |+ - Shareholder’s Fund - Reserves - Subsequent Years: - SH_RESERVES2 - SH_RESERVES3 - SH_RESERVES4 - SH_RESERVES5 - example: "0.00" - SH_ACCUM_LOSS1: - type: string - description: |+ - Shareholder’s Fund – Accumulated Loss - Subsequent Years: - SH_ACCUM_LOSS2 - SH_ACCUM_LOSS3 - SH_ACCUM_LOSS4 - SH_ACCUM_LOSS5 - example: "5481217.00" - GRP_TURNOVER1 : - type: string - description: |+ - Group Turnover / Sales and Other Operating Revenues - Subsequent Years: - GRP_TURNOVER2 - GRP_TURNOVER3 - GRP_TURNOVER4 - GRP_TURNOVER5 - example: "0.00" - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: "0.00" - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: "0.00" - GRP_NETINC_NON_EXT1 : - type: string - description: |+ - Group Net Income / Loss From Extraordinary and Non-Operating Items - Subsequent Years: - GRP_NETINC_NON_EXT2 - GRP_NETINC_NON_EXT3 - GRP_NETINC_NON_EXT4 - GRP_NETINC_NON_EXT5 - example: "0.00" - GRP_PL_AFT_TAX_EXT1: - type: string - description: |+ - Group Profit / Loss After Tax and Extraordinary items - Subsequent Years: - GRP_ PL_AFT_TAX_EXT2 - GRP_ PL_AFT_TAX_EXT3 - GRP_ PL_AFT_TAX_EXT4 - GRP_ PL_AFT_TAX_EXT5 - example: "0.00" - GRP_TOT_ASSETS1: - type: string - description: |+ - Group Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: "0.00" - GRP_TA_CURRENT1 : - type: string - description: |+ - Group Total Assets – Current - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT5 - example: "0.00" - GRP_TA_FIXED1 : - type: string - description: |+ - Group Total Assets – Fixed and Others - Subsequent Years: - GRP_TA_FIXED2 - GRP_TA_FIXED3 - GRP_TA_FIXED4 - GRP_TA_FIXED5 - example: "0.00" - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: "0.00" - GRP_TL_CURRENT1 : - type: string - description: |+ - Group Total Liabilities - Current - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: "0.00" - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group Total Liabilities – Non-Current & Long Term - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: "0.00" - GRP_SH_FUNDS1 : - type: string - description: |+ - Group Shareholder’s Fund - Subsequent Years: - GRP_ SH_FUNDS2 - GRP_ SH_FUNDS3 - GRP_ SH_FUNDS4 - GRP_ SH_FUNDS5 - example: "0.00" - GRP_SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Group Shareholder’s Fund – Paid Up Capital - Subsequent Years: - GRP_SH_PAIDUP_CAPITAL2 - GRP_SH_PAIDUP_CAPITAL3 - GRP_SH_PAIDUP_CAPITAL4 - GRP_SH_PAIDUP_CAPITAL5 - example: "0.00" - GRP_SH_RESERVES1: - type: string - description: |+ - Group Shareholder’s Fund - Reserves - Subsequent Years: - GRP_SH_RESERVES2 - GRP_SH_RESERVES3 - GRP_SH_RESERVES4 - GRP_SH_RESERVES5 - example: "0.00" - GRP_SH_ACCUM_LOSS1 : - type: string - description: |+ - Group Shareholder’s Fund – Accumulated Loss - Subsequent Years: - GRP_SH_ACCUM_LOSS2 - GRP_SH_ACCUM_LOSS3 - GRP_SH_ACCUM_LOSS4 - GRP_SH_ACCUM_LOSS5 - example: "0.00" - GRP_INDICATOR1 : - type: string - description: |+ - Company Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: "B" - XBRL_DTL: - type: object - description: |+ - XBRL filed after 1 Nov 2007 with following children: - XBRL_YR1_CURR - REVENUE1 - PL_BEF_TAX1 - PL_AFT_TAX1 - TOT_ASSETS1 - TA_CURRENT1 - TA_NON_CURRENT1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - TOT_EQUITY1 - EQ_SH_CAPITAL1 - EQ_RESERVES1 - EQ_RETAINED_EARN1 - GRP_REVENUE1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_NON_CURRENT1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_TOT_EQUITY1 - GRP_SH_CAPITAL1 - GRP_RESERVES1 - GRP_RETAINED_EARN1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. - example: - XBRL_DTL: - XBRL_YR1_CURR: "(SGD)" - XBRL_YR2_CURR: "(SGD)" - REVENUE1: '10877254.00' - REVENUE2: '9982533.00' - PL_BEF_TAX1: '1121483.00' - PL_BEF_TAX2: '262632.00' - PL_AFT_TAX1: '1347380.00' - PL_AFT_TAX2: '262632.00' - TOT_ASSETS1: '6562990.00' - TOT_ASSETS2: '5424551.00' - TA_CURRENT1: '6283449.00' - TA_CURRENT2: '4948821.00' - TA_NON_CURRENT1: '279541.00' - TA_NON_CURRENT2: '475730.00' - TOT_LIABILITIES1: '8434195.00' - TOT_LIABILITIES2: '8643136.00' - TL_CURRENT1: '8434195.00' - TL_CURRENT2: '7933013.00' - TL_NON_CURRENT1: '0.00' - TL_NON_CURRENT2: '710123.00' - TOT_EQUITY1: "-1871205.00" - TOT_EQUITY2: "-3218585.00" - EQ_SH_CAPITAL1: '2000000.00' - EQ_SH_CAPITAL2: '2000000.00' - EQ_RESERVES1: '0.00' - EQ_RESERVES2: '0.00' - EQ_RETAINED_EARN1: "-3,871,205.00" - EQ_RETAINED_EARN2: "-5,218,585.00" - GRP_REVENUE1: '0.00' - GRP_REVENUE2: '0.00' - GRP_PL_BEF_TAX1: '0.00' - GRP_PL_BEF_TAX2: '0.00' - GRP_PL_AFT_TAX1: '0.00' - GRP_PL_AFT_TAX2: '0.00' - GRP_TOT_ASSETS1: '0.00' - GRP_TOT_ASSETS2: '0.00' - GRP_TA_CURRENT1: '0.00' - GRP_TA_CURRENT2: '0.00' - GRP_TA_NON_CURRENT1: '0.00' - GRP_TA_NON_CURRENT2: '0.00' - GRP_TOT_LIABILITIES1: '0.00' - GRP_TOT_LIABILITIES2: '0.00' - GRP_TL_CURRENT1: '0.00' - GRP_TL_CURRENT2: '0.00' - GRP_TL_NON_CURRENT1: '0.00' - GRP_TL_NON_CURRENT2: '0.00' - GRP_TOT_EQUITY1: '0.00' - GRP_TOT_EQUITY2: '0.00' - GRP_SH_CAPITAL1: '0.00' - GRP_SH_CAPITAL2: '0.00' - GRP_RESERVES1: '0.00' - GRP_RESERVES2: '0.00' - GRP_RETAINED_EARN1: '0.00' - GRP_RETAINED_EARN2: '0.00' - GRP_INDICATOR1: B - GRP_INDICATOR2: B - GRP_INDICATOR3: B - properties: - XBRL_YR1_CURR: - type: string - description: |+ - FH After Year 1 Currency - Subsequent Years: - XBRL_YR2_CURR - XBRL_YR3_CURR - XBRL_YR4_CURR - XBRL_YR5_CURR - example: "(SGD)" - REVENUE1 : - type: string - description: |+ - Revenue Amount - Subsequent Years: - REVENUE2 - REVENUE3 - REVENUE4 - REVENUE5 - example: "10877254.00" - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: "1121483.00" - PL_AFT_TAX1 : - type: string - description: |+ - Profit / Loss After Tax from Continuing Operations - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: "1347380.00" - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: "6562990.00" - TA_CURRENT1 : - type: string - description: |+ - Total Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: "6283449.00" - TA_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_NON_CURRENT2 - TA_NON_CURRENT3 - TA_NON_CURRENT4 - TA_NON_CURRENT5 - example: "279541.00" - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: "8434195.00" - TL_CURRENT1 : - type: string - description: |+ - Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: "8434195.00" - TL_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: "0.00" - TOT_EQUITY1 : - type: string - description: |+ - Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - TOT_EQUITY2 - TOT_EQUITY3 - TOT_EQUITY4 - TOT_EQUITY5 - example: "-1871205.00" - EQ_SH_CAPITAL1 : - type: string - description: |+ - Total Equity – Share Capital - Subsequent Years: - EQ_SH_CAPITAL2 - EQ_SH_CAPITAL3 - EQ_SH_CAPITAL4 - EQ_SH_CAPITAL5 - example: "2000000.00" - EQ_RESERVES1 : - type: string - description: |+ - Total Equity – Other Reserves - Subsequent Years: - EQ_RESERVES2 - EQ_RESERVES3 - EQ_RESERVES4 - EQ_RESERVES5 - example: "0.00" - EQ_RETAINED_EARN1 : - type: string - description: |+ - Total Equity – Retained Earnings (Accumulated Loss) - Subsequent Years: - EQ_RETAINED_EARN2 - EQ_RETAINED_EARN3 - EQ_RETAINED_EARN4 - EQ_RETAINED_EARN5 - example: "-3,871,205.00" - GRP_REVENUE1 : - type: string - description: |+ - Group’s Revenue Amount - Subsequent Years: - GRP_REVENUE2 - GRP_REVENUE3 - GRP_REVENUE4 - GRP_REVENUE5 - example: "0.00" - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: "0.00" - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax from Continuing Operations - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: "0.00" - GRP_TOT_ASSETS1 : - type: string - description: |+ - Group’s Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: "0.00" - GRP_TA_CURRENT1 : - type: string - description: |+ - Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT4 - example: "0.00" - GRP_TA_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_NON_CURRENT2 - GRP_TA_NON_CURRENT3 - GRP_TA_NON_CURRENT4 - GRP_TA_NON_CURRENT4 - example: "0.00" - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group’s Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: "0.00" - GRP_TL_CURRENT1 : - type: string - description: |+ - Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: "0.00" - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: "0.00" - GRP_TOT_EQUITY1 : - type: string - description: |+ - Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - GRP_TOT_EQUITY2 - GRP_TOT_EQUITY3 - GRP_TOT_EQUITY4 - GRP_TOT_EQUITY5 - example: "0.00" - GRP_SH_CAPITAL1 : - type: string - description: |+ - Group’s Share Capital - Subsequent Years: - GRP_SH_CAPITAL2 - GRP_SH_CAPITAL3 - GRP_SH_CAPITAL4 - GRP_SH_CAPITAL5 - example: "0.00" - GRP_RESERVES1 : - type: string - description: |+ - Group’s Other Reserves - Subsequent Years: - GRP_RESERVES2 - GRP_RESERVES3 - GRP_RESERVES4 - GRP_RESERVES5 - example: "0.00" - GRP_RETAINED_EARN1 : - type: string - description: |+ - Group’s – Retained Earnings (Accumulated Loss) - Subsequent Years: - GRP_RETAINED_EARN2 - GRP_RETAINED_EARN3 - GRP_RETAINED_EARN4 - GRP_RETAINED_EARN5 - example: "0.00" - GRP_INDICATOR1 : - type: string - description: |+ - XBRL Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: "B" - FH_RATIOS_DTL: - type: object - description: |+ - Accounting Ratios Details with following children: - RATE_NET_PROFIT1 - RET_INVESTMENT1 - RET_SH_FUNDS1 - TOT_ASSETS_TURNOVER1 - CURR_CAPITAL_RATIO1 - PROPRIETARY_RATIO1 - TOTAL_DEBT_RATIO1 - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. - example: - FH_RATIOS_DTL: - RATE_NET_PROFIT1: '12.39' - RATE_NET_PROFIT2: '2.63' - RATE_NET_PROFIT3: '0.00' - RATE_NET_PROFIT4: '0.00' - RATE_NET_PROFIT5: '0.00' - RET_INVESTMENT1: '20.53' - RET_INVESTMENT2: '4.84' - RET_INVESTMENT3: '0.00' - RET_INVESTMENT4: '0.00' - RET_INVESTMENT5: '0.00' - RET_SH_FUNDS1: "-72.01" - RET_SH_FUNDS2: "-8.16" - RET_SH_FUNDS3: "-0.00" - RET_SH_FUNDS4: "-0.00" - RET_SH_FUNDS5: "-0.00" - TOT_ASSETS_TURNOVER1: '1.66' - TOT_ASSETS_TURNOVER2: '1.84' - TOT_ASSETS_TURNOVER3: '2.42' - TOT_ASSETS_TURNOVER4: '2.54' - TOT_ASSETS_TURNOVER5: '1.78' - CURR_CAPITAL_RATIO1: '0.74' - CURR_CAPITAL_RATIO2: '0.62' - CURR_CAPITAL_RATIO3: '0.50' - CURR_CAPITAL_RATIO4: '0.46' - CURR_CAPITAL_RATIO5: '0.55' - PROPRIETARY_RATIO1: "-28.51" - PROPRIETARY_RATIO2: "-59.33" - PROPRIETARY_RATIO3: "-89.51" - PROPRIETARY_RATIO4: "-101.59" - PROPRIETARY_RATIO5: "-75.15" - TOTAL_DEBT_RATIO1: '128.51' - TOTAL_DEBT_RATIO2: '168.27' - TOTAL_DEBT_RATIO3: '189.51' - TOTAL_DEBT_RATIO4: '201.59' - TOTAL_DEBT_RATIO5: '175.15' - properties: - RATE_NET_PROFIT1 : - type: string - description: |+ - Rate of Net Profit On Sales (%) - Subsequent Years: - RATE_NET_PROFIT2 - RATE_NET_PROFIT3 - RATE_NET_PROFIT4 - RATE_NET_PROFIT5 - example: "12.39" - RET_INVESTMENT1 : - type: string - description: |+ - Return of Investment (%) - Subsequent Years: - RET_INVESTMENT2 - RET_INVESTMENT3 - RET_INVESTMENT4 - RET_INVESTMENT5 - example: "20.53" - RET_SH_FUNDS1 : - type: string - description: |+ - Return of Shareholder’s Funds (%) - Subsequent Years: - RET_SH_FUNDS2 - RET_SH_FUNDS3 - RET_SH_FUNDS4 - RET_SH_FUNDS4 - example: "-72.01" - TOT_ASSETS_TURNOVER1 : - type: string - description: |+ - Total Assets Turnover (%) - Subsequent Years: - TOT_ASSETS_TURNOVER2 - TOT_ASSETS_TURNOVER3 - TOT_ASSETS_TURNOVER4 - TOT_ASSETS_TURNOVER5 - example: "1.66" - CURR_CAPITAL_RATIO1: - type: string - description: |+ - Current / Working Capital Ratio (%) - Subsequent Years: - CURR_CAPITAL_RATIO2 - CURR_CAPITAL_RATIO3 - CURR_CAPITAL_RATIO4 - CURR_CAPITAL_RATIO5 - example: "0.74" - PROPRIETARY_RATIO1: - type: string - description: |+ - Proprietary Ratio (%) 1 - Subsequent Years: - PROPRIETARY_RATIO2 - PROPRIETARY_RATIO3 - PROPRIETARY_RATIO4 - PROPRIETARY_RATIO5 - example: "-28.51" - TOTAL_DEBT_RATIO1 : - type: string - description: |+ - Total Debt to Equity Ratio (%) 1 - Subsequent Years: - TOTAL_DEBT_RATIO2 - TOTAL_DEBT_RATIO3 - TOTAL_DEBT_RATIO4 - TOTAL_DEBT_RATIO5 - example: "128.51" - LIST_FH_CHART_INFO : - type: array - example: - LIST_FH_CHART_INFO: - FH_CHART_INFO: - PROFIT_LOSS: '1121483.0' - REVENUE: '10877254' - YEAR: '2008' - description: |+ - List of chart info with following children: - [FH_CHART_INFO] - items: - properties: - FH_CHART_INFO: - type: object - description: |+ - Chart Info info with following children: - YEAR - REVENUE - PROFIT_LOSS - properties: - PROFIT_LOSS: - type: string - example: "1121483.0" - description: Profit / Loss Before Tax of the year - REVENUE: - type: string - example: "10877254" - description: Revenue Amount of the year - YEAR: - type: string - example: "2008" - description: Financial Year - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: - total_items: - type: integer - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - subject_idno: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - subject_name: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: D&B Brief Financial Information (SG) + description: This Data microservice provides an annual financial information of Singapore-registered businesses which includes profit and loss and financial ratios. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios. + - Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. + version: '1.0.0' + x-subscribelink: d&b_brief_financial_information_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides an annual financial information of Singapore-registered businesses. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 15, 2021" +paths: + /microservices/data/sbfe/v1/getdata: + post: + tags: + - v1.0.0 + summary: Adds a new user + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + META_INFO: + SERVICE: BFE + SYSTEM_ID: DDP + CREATION_DATE: 25/02/2009 17:31:44> + USER_ID: plcust102 + FH_SEARCH_INFO: + COMP_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. + REG_NO: 200003058W + REQ_DATE: '2009-04-21 10:56:06.716' + REQ_REG_NO: 200003058W + REQ_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. + REQ_DATE_STR: 21/04/2009 10:56:06 + FH_BEFORE_YR1: '2004' + FH_BEFORE_YR2: '2003' + FH_BEFORE_YR3: '2002' + FH_AFTER_YR1: '2005' + FH_AFTER_YR2: '2006' + FH_AFTER_YR3: '2007' + FH_AFTER_YR4: '2008' + FH_AFTER_YR5: '2009' + AC_RATIOS_YR1: '2008' + AC_RATIOS_YR2: '2007' + AC_RATIOS_YR3: '2006' + AC_RATIOS_YR4: '2005' + AC_RATIOS_YR5: '2004' + FH_DTL: + FH_YR1_CURR: "(SGD)" + FH_YR2_CURR: "(SGD)" + FH_YR3_CURR: "(SGD)" + TURNOVER1: '9403795.00' + TURNOVER2: '8617168.00' + TURNOVER3: '7807393.00' + PL_BEF_TAX1: '31467.00' + PL_BEF_TAX2: '162620.00' + PL_BEF_TAX3: '1281387.00' + PL_AFT_TAX1: '31467.00' + PL_AFT_TAX2: '162620.00' + PL_AFT_TAX3: '1281387.00' + NETINC_NON_EXT1: '0.00' + NETINC_NON_EXT2: '0.00' + NETINC_NON_EXT3: 60318.00> + PL_AFT_TAX_EXT1: '31467.00' + PL_AFT_TAX_EXT2: '162620.00' + PL_AFT_TAX_EXT3: '1341705.00' + TOT_ASSETS1: '3889213.00' + TOT_ASSETS2: '3395740.00' + TOT_ASSETS3: '4374368.00' + TA_CURRENT1: '3359007.00' + TA_CURRENT2: '2855754.00' + TA_CURRENT3: '3546381.00' + TA_FIXED1: '530206.00' + TA_FIXED2: '539986.00' + TA_FIXED3: 827987.00> + TOT_LIABILITIES1: '7370430.00' + TOT_LIABILITIES2: '6845490.00' + TOT_LIABILITIES3: '7661498.00' + TL_CURRENT1: '6739073.00' + TL_CURRENT2: '6157560.00' + TL_CURRENT3: '6435365.00' + TL_NON_CURRENT1: '631357.00' + TL_NON_CURRENT2: '687930.00' + TL_NON_CURRENT3: '122133.00' + SH_FUNDS1: "-3481217.00" + SH_FUNDS2: "-3449750.00" + SH_FUNDS3: "-3287130.00" + SH_PAIDUP_CAPITAL1: '2000000.00' + SH_PAIDUP_CAPITAL2: '2000000.00' + SH_PAIDUP_CAPITAL3: '2000000.00' + SH_RESERVES1: '0.00' + SH_RESERVES2: '0.00' + SH_RESERVES3: '0.00' + SH_ACCUM_LOSS1: '5481217.00' + SH_ACCUM_LOSS2: '5449750.00' + SH_ACCUM_LOSS3: '5287130.00' + GRP_TURNOVER1: '0.00' + GRP_TURNOVER2: '0.00' + GRP_TURNOVER3: '0.00' + GRP_PL_BEF_TAX1: '0.00' + GRP_PL_BEF_TAX2: '0.00' + GRP_PL_BEF_TAX3: '0.00' + GRP_PL_AFT_TAX1: '0.00' + GRP_PL_AFT_TAX2: '0.00' + GRP_PL_AFT_TAX3: '0.00' + GRP_NETINC_NON_EXT1: '0.00' + GRP_NETINC_NON_EXT2: '0.00' + GRP_NETINC_NON_EXT3: '0.00' + GRP_PL_AFT_TAX_EXT1: '0.00' + GRP_PL_AFT_TAX_EXT2: '0.00' + GRP_PL_AFT_TAX_EXT3: '0.00' + GRP_TOT_ASSETS1: '0.00' + GRP_TOT_ASSETS2: '0.00' + GRP_TOT_ASSETS3: '0.00' + GRP_TA_CURRENT1: '0.00' + GRP_TA_CURRENT2: '0.00' + GRP_TA_CURRENT3: '0.00' + GRP_TA_FIXED1: '0.00' + GRP_TA_FIXED2: '0.00' + GRP_TA_FIXED3: '0.00' + GRP_TOT_LIABILITIES1: '0.00' + GRP_TOT_LIABILITIES2: '0.00' + GRP_TOT_LIABILITIES3: '0.00' + GRP_TL_CURRENT1: '0.00' + GRP_TL_CURRENT2: '0.00' + GRP_TL_CURRENT3: '0.00' + GRP_TL_NON_CURRENT1: '0.00' + GRP_TL_NON_CURRENT2: '0.00' + GRP_TL_NON_CURRENT3: '0.00' + GRP_SH_FUNDS1: '0.00' + GRP_SH_FUNDS2: '0.00' + GRP_SH_FUNDS3: '0.00' + GRP_SH_PAIDUP_CAPITAL1: '0.00' + GRP_SH_PAIDUP_CAPITAL2: '0.00' + GRP_SH_PAIDUP_CAPITAL3: '0.00' + GRP_SH_RESERVES1: '0.00' + GRP_SH_RESERVES2: '0.00' + GRP_SH_RESERVES3: '0.00' + GRP_SH_ACCUM_LOSS1: '0.00' + GRP_SH_ACCUM_LOSS2: '0.00' + GRP_SH_ACCUM_LOSS3: '0.00' + GRP_INDICATOR1: B + GRP_INDICATOR2: B + GRP_INDICATOR3: B + XBRL_DTL: + XBRL_YR1_CURR: "(SGD)" + XBRL_YR2_CURR: "(SGD)" + REVENUE1: '10877254.00' + REVENUE2: '9982533.00' + PL_BEF_TAX1: '1121483.00' + PL_BEF_TAX2: '262632.00' + PL_AFT_TAX1: '1347380.00' + PL_AFT_TAX2: '262632.00' + TOT_ASSETS1: '6562990.00' + TOT_ASSETS2: '5424551.00' + TA_CURRENT1: '6283449.00' + TA_CURRENT2: '4948821.00' + TA_NON_CURRENT1: '279541.00' + TA_NON_CURRENT2: '475730.00' + TOT_LIABILITIES1: '8434195.00' + TOT_LIABILITIES2: '8643136.00' + TL_CURRENT1: '8434195.00' + TL_CURRENT2: '7933013.00' + TL_NON_CURRENT1: '0.00' + TL_NON_CURRENT2: '710123.00' + TOT_EQUITY1: "-1871205.00" + TOT_EQUITY2: "-3218585.00" + EQ_SH_CAPITAL1: '2000000.00' + EQ_SH_CAPITAL2: '2000000.00' + EQ_RESERVES1: '0.00' + EQ_RESERVES2: '0.00' + EQ_RETAINED_EARN1: "-3,871,205.00" + EQ_RETAINED_EARN2: "-5,218,585.00" + GRP_REVENUE1: '0.00' + GRP_REVENUE2: '0.00' + GRP_PL_BEF_TAX1: '0.00' + GRP_PL_BEF_TAX2: '0.00' + GRP_PL_AFT_TAX1: '0.00' + GRP_PL_AFT_TAX2: '0.00' + GRP_TOT_ASSETS1: '0.00' + GRP_TOT_ASSETS2: '0.00' + GRP_TA_CURRENT1: '0.00' + GRP_TA_CURRENT2: '0.00' + GRP_TA_NON_CURRENT1: '0.00' + GRP_TA_NON_CURRENT2: '0.00' + GRP_TOT_LIABILITIES1: '0.00' + GRP_TOT_LIABILITIES2: '0.00' + GRP_TL_CURRENT1: '0.00' + GRP_TL_CURRENT2: '0.00' + GRP_TL_NON_CURRENT1: '0.00' + GRP_TL_NON_CURRENT2: '0.00' + GRP_TOT_EQUITY1: '0.00' + GRP_TOT_EQUITY2: '0.00' + GRP_SH_CAPITAL1: '0.00' + GRP_SH_CAPITAL2: '0.00' + GRP_RESERVES1: '0.00' + GRP_RESERVES2: '0.00' + GRP_RETAINED_EARN1: '0.00' + GRP_RETAINED_EARN2: '0.00' + GRP_INDICATOR1: B + GRP_INDICATOR2: B + GRP_INDICATOR3: B + FH_RATIOS_DTL: + RATE_NET_PROFIT1: '12.39' + RATE_NET_PROFIT2: '2.63' + RATE_NET_PROFIT3: '0.00' + RATE_NET_PROFIT4: '0.00' + RATE_NET_PROFIT5: '0.00' + RET_INVESTMENT1: '20.53' + RET_INVESTMENT2: '4.84' + RET_INVESTMENT3: '0.00' + RET_INVESTMENT4: '0.00' + RET_INVESTMENT5: '0.00' + RET_SH_FUNDS1: "-72.01" + RET_SH_FUNDS2: "-8.16" + RET_SH_FUNDS3: "-0.00" + RET_SH_FUNDS4: "-0.00" + RET_SH_FUNDS5: "-0.00" + TOT_ASSETS_TURNOVER1: '1.66' + TOT_ASSETS_TURNOVER2: '1.84' + TOT_ASSETS_TURNOVER3: '2.42' + TOT_ASSETS_TURNOVER4: '2.54' + TOT_ASSETS_TURNOVER5: '1.78' + CURR_CAPITAL_RATIO1: '0.74' + CURR_CAPITAL_RATIO2: '0.62' + CURR_CAPITAL_RATIO3: '0.50' + CURR_CAPITAL_RATIO4: '0.46' + CURR_CAPITAL_RATIO5: '0.55' + PROPRIETARY_RATIO1: "-28.51" + PROPRIETARY_RATIO2: "-59.33" + PROPRIETARY_RATIO3: "-89.51" + PROPRIETARY_RATIO4: "-101.59" + PROPRIETARY_RATIO5: "-75.15" + TOTAL_DEBT_RATIO1: '128.51' + TOTAL_DEBT_RATIO2: '168.27' + TOTAL_DEBT_RATIO3: '189.51' + TOTAL_DEBT_RATIO4: '201.59' + TOTAL_DEBT_RATIO5: '175.15' + LIST_FH_CHART_INFO: + - PROFIT_LOSS: '1121483.0' + REVENUE: '10877254' + YEAR: '2008' + - PROFIT_LOSS: 262632.0> + REVENUE: '9982533' + YEAR: '2007' + - PROFIT_LOSS: "-31467.0" + REVENUE: '9403795' + YEAR: '2006' + - PROFIT_LOSS: "-162620.0" + REVENUE: '8617168' + YEAR: '2005' + - PROFIT_LOSS: "-1281387.0" + REVENUE: '7807393' + YEAR: '2004' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + description: |+ + Report details with following children: + [META_INFO] + [FH_SEARCH_INFO] + [FH_DTL] + [XBRL_DTL] + [FH_RATIO_DTL] + [LIST_FH_CHART_INFO] + example: + properties: + META_INFO: + type: object + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + example: + META_INFO: + SERVICE: BFE + SYSTEM_ID: DDP + CREATION_DATE: 25/02/2009 17:31:44> + USER_ID: plcust102 + properties: + SERVICE: + type: string + description: Report Requested + example: "BFE" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: string + description: Report Request Date + example: "25/02/2009 17:31:44" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + FH_SEARCH_INFO: + type: object + description: |+ + FH search information with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + FH_BEFORE_YR1 + FH_BEFORE_YR2 + FH_BEFORE_YR3 + FH_BEFORE_YR4 + FH_BEFORE_YR5 + FH_AFTER_YR1 + FH_AFTER_YR2 + FH_AFTER_YR3 + FH_AFTER_YR4 + FH_AFTER_YR5 + AC_RATIOS_YR1 + AC_RATIOS_YR2 + AC_RATIOS_YR3 + AC_RATIOS_YR4 + AC_RATIOS_YR5 + example: + FH_SEARCH_INFO: + COMP_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. + REG_NO: 200003058W + REQ_DATE: '2009-04-21 10:56:06.716' + REQ_REG_NO: 200003058W + REQ_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. + REQ_DATE_STR: 21/04/2009 10:56:06 + FH_BEFORE_YR1: '2004' + FH_BEFORE_YR2: '2003' + FH_BEFORE_YR3: '2002' + FH_AFTER_YR1: '2005' + FH_AFTER_YR2: '2006' + FH_AFTER_YR3: '2007' + FH_AFTER_YR4: '2008' + FH_AFTER_YR5: '2009' + AC_RATIOS_YR1: '2008' + AC_RATIOS_YR2: '2007' + AC_RATIOS_YR3: '2006' + AC_RATIOS_YR4: '2005' + AC_RATIOS_YR5: '2004' + properties: + COMP_NAME : + type: string + description: Company Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REG_NO : + type: string + description: Company Registration No + example: "200003058W" + REQ_DATE : + type: datetime + description: Requested Date + example: "2009-04-21 10:56:06.716" + REQ_REG_NO : + type: string + description: Request Registration Number + example: "200003058W" + REQ_NAME : + type: string + description: Request Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REQ_DATE_STR : + type: string + description: Request Date String + example: "21/04/2009 10:56:06" + FH_BEFORE_YR1 : + type: string + description: Financial Highlight filed before year 1 + example: "2004" + FH_BEFORE_YR2 : + type: string + description: Financial Highlight filed before year 2 + example: "2003" + FH_BEFORE_YR3 : + type: string + description: Financial Highlight filed before year 3 + example: "2002" + FH_AFTER_YR1: + type: string + description: Financial Highlight filed after year 1 + example: "2005" + FH_AFTER_YR2 : + type: string + description: Financial Highlight filed after year 2 + example: "2006" + FH_AFTER_YR3 : + type: string + description: Financial Highlight filed after year 3 + example: "2007" + FH_AFTER_YR4: + type: string + description: Financial Highlight filed after year 4 + example: "2008" + FH_AFTER_YR5: + type: string + description: Financial Highlight filed after year 5 + example: "2009" + AC_RATIOS_YR1 : + type: string + description: Account Ratio year 1 + example: "2008" + AC_RATIOS_YR2 : + type: string + description: Account Ratio year 2 + example: "2007" + AC_RATIOS_YR3 : + type: string + description: Account Ratio year 3 + example: "2006" + AC_RATIOS_YR4 : + type: string + description: Account Ratio year 4 + example: "2005" + AC_RATIOS_YR5 : + type: string + description: Account Ratio year 5 + example: "2004" + FH_DTL: + type: object + description: |+ + Financial Highlight with following children: + FH_YR1_CURR + TURNOVER1 + PL_BEF_TAX1 + PL_AFT_TAX1 + NETINC_NON_EXT1 + PL_AFT_TAX_EXT1 + TOT_ASSETS1 + TA_CURRENT1 + TA_FIXED1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + SH_FUNDS1 + SH_PAIDUP_CAPITAL1 + SH_RESERVES1 + SH_ACCUM_LOSS1 + GRP_TURNOVER1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_NETINC_NON_EXT1 + GRP_PL_AFT_TAX_EXT1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_FIXED1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_SH_FUNDS1 + GRP_SH_PAIDUP_CAPITAL1 + GRP_SH_RESERVES1 + GRP_SH_ACCUM_LOSS1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. + example: + FH_DTL: + FH_YR1_CURR: "(SGD)" + FH_YR2_CURR: "(SGD)" + FH_YR3_CURR: "(SGD)" + TURNOVER1: '9403795.00' + TURNOVER2: '8617168.00' + TURNOVER3: '7807393.00' + PL_BEF_TAX1: '31467.00' + PL_BEF_TAX2: '162620.00' + PL_BEF_TAX3: '1281387.00' + PL_AFT_TAX1: '31467.00' + PL_AFT_TAX2: '162620.00' + PL_AFT_TAX3: '1281387.00' + NETINC_NON_EXT1: '0.00' + NETINC_NON_EXT2: '0.00' + NETINC_NON_EXT3: 60318.00> + PL_AFT_TAX_EXT1: '31467.00' + PL_AFT_TAX_EXT2: '162620.00' + PL_AFT_TAX_EXT3: '1341705.00' + TOT_ASSETS1: '3889213.00' + TOT_ASSETS2: '3395740.00' + TOT_ASSETS3: '4374368.00' + TA_CURRENT1: '3359007.00' + TA_CURRENT2: '2855754.00' + TA_CURRENT3: '3546381.00' + TA_FIXED1: '530206.00' + TA_FIXED2: '539986.00' + TA_FIXED3: 827987.00> + TOT_LIABILITIES1: '7370430.00' + TOT_LIABILITIES2: '6845490.00' + TOT_LIABILITIES3: '7661498.00' + TL_CURRENT1: '6739073.00' + TL_CURRENT2: '6157560.00' + TL_CURRENT3: '6435365.00' + TL_NON_CURRENT1: '631357.00' + TL_NON_CURRENT2: '687930.00' + TL_NON_CURRENT3: '122133.00' + SH_FUNDS1: "-3481217.00" + SH_FUNDS2: "-3449750.00" + SH_FUNDS3: "-3287130.00" + SH_PAIDUP_CAPITAL1: '2000000.00' + SH_PAIDUP_CAPITAL2: '2000000.00' + SH_PAIDUP_CAPITAL3: '2000000.00' + SH_RESERVES1: '0.00' + SH_RESERVES2: '0.00' + SH_RESERVES3: '0.00' + SH_ACCUM_LOSS1: '5481217.00' + SH_ACCUM_LOSS2: '5449750.00' + SH_ACCUM_LOSS3: '5287130.00' + GRP_TURNOVER1: '0.00' + GRP_TURNOVER2: '0.00' + GRP_TURNOVER3: '0.00' + GRP_PL_BEF_TAX1: '0.00' + GRP_PL_BEF_TAX2: '0.00' + GRP_PL_BEF_TAX3: '0.00' + GRP_PL_AFT_TAX1: '0.00' + GRP_PL_AFT_TAX2: '0.00' + GRP_PL_AFT_TAX3: '0.00' + GRP_NETINC_NON_EXT1: '0.00' + GRP_NETINC_NON_EXT2: '0.00' + GRP_NETINC_NON_EXT3: '0.00' + GRP_PL_AFT_TAX_EXT1: '0.00' + GRP_PL_AFT_TAX_EXT2: '0.00' + GRP_PL_AFT_TAX_EXT3: '0.00' + GRP_TOT_ASSETS1: '0.00' + GRP_TOT_ASSETS2: '0.00' + GRP_TOT_ASSETS3: '0.00' + GRP_TA_CURRENT1: '0.00' + GRP_TA_CURRENT2: '0.00' + GRP_TA_CURRENT3: '0.00' + GRP_TA_FIXED1: '0.00' + GRP_TA_FIXED2: '0.00' + GRP_TA_FIXED3: '0.00' + GRP_TOT_LIABILITIES1: '0.00' + GRP_TOT_LIABILITIES2: '0.00' + GRP_TOT_LIABILITIES3: '0.00' + GRP_TL_CURRENT1: '0.00' + GRP_TL_CURRENT2: '0.00' + GRP_TL_CURRENT3: '0.00' + GRP_TL_NON_CURRENT1: '0.00' + GRP_TL_NON_CURRENT2: '0.00' + GRP_TL_NON_CURRENT3: '0.00' + GRP_SH_FUNDS1: '0.00' + GRP_SH_FUNDS2: '0.00' + GRP_SH_FUNDS3: '0.00' + GRP_SH_PAIDUP_CAPITAL1: '0.00' + GRP_SH_PAIDUP_CAPITAL2: '0.00' + GRP_SH_PAIDUP_CAPITAL3: '0.00' + GRP_SH_RESERVES1: '0.00' + GRP_SH_RESERVES2: '0.00' + GRP_SH_RESERVES3: '0.00' + GRP_SH_ACCUM_LOSS1: '0.00' + GRP_SH_ACCUM_LOSS2: '0.00' + GRP_SH_ACCUM_LOSS3: '0.00' + GRP_INDICATOR1: B + GRP_INDICATOR2: B + GRP_INDICATOR3: B + properties: + FH_YR1_CURR : + type: string + description: |+ + FH Before Year 1 Currency + Subsequent Years: + FH_YR2_CURR + FH_YR3_CURR + FH_YR4_CURR + FH_YR5_CURR + example: "(SGD)" + TURNOVER1 : + type: string + description: |+ + Turnover / Sales And Other Operating Revenues + Subsequent Years: + TURNOVER2 + TURNOVER3 + TURNOVER4 + TURNOVER5 + example: "9403795.00" + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: "31467.00" + PL_AFT_TAX1: + type: string + description: |+ + Profit / Loss After Tax + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: "31467.00" + NETINC_NON_EXT1: + type: string + description: |+ + Net Income / Loss From Extraordinary And Non- Operating Items + Subsequent Years: + NETINC_NON_EXT2 + NETINC_NON_EXT3 + NETINC_NON_EXT4 + NETINC_NON_EXT5 + example: "0.00" + PL_AFT_TAX_EXT1 : + type: string + description: |+ + Profit / Loss After Tax and Extraordinary Items + Subsequent Years: + PL_AFT_TAX_EXT2 + PL_AFT_TAX_EXT3 + PL_AFT_TAX_EXT4 + PL_AFT_TAX_EXT5 + example: "31467.00" + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: "3889213.00" + TA_CURRENT1 : + type: string + description: |+ + Total Assets - Current + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: "3359007.00" + TA_FIXED1 : + type: string + description: |+ + Total Assets – Fixed and Others + Subsequent Years: + TA_FIXED2 + TA_FIXED3 + TA_FIXED4 + TA_FIXED5 + example: "530206.00" + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: "7370430.00" + TL_CURRENT1 : + type: string + description: |+ + Total Liabilities - Current + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: "6739073.00" + TL_NON_CURRENT1 : + type: string + description: |+ + Total Liabilities – Non- Current & Long Term + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: "631357.00" + SH_FUNDS1: + type: string + description: |+ + Shareholder’s Fund + Subsequent Years: + SH_FUNDS2 + SH_FUNDS3 + SH_FUNDS4 + SH_FUNDS5 + example: "-3481217.00" + SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Shareholder’s Fund – Paid Up Capital + Subsequent Years: + SH_PAIDUP_CAPITAL2 + SH_PAIDUP_CAPITAL3 + SH_PAIDUP_CAPITAL4 + SH_PAIDUP_CAPITAL5 + example: "2000000.00" + SH_RESERVES1 : + type: string + description: |+ + Shareholder’s Fund - Reserves + Subsequent Years: + SH_RESERVES2 + SH_RESERVES3 + SH_RESERVES4 + SH_RESERVES5 + example: "0.00" + SH_ACCUM_LOSS1: + type: string + description: |+ + Shareholder’s Fund – Accumulated Loss + Subsequent Years: + SH_ACCUM_LOSS2 + SH_ACCUM_LOSS3 + SH_ACCUM_LOSS4 + SH_ACCUM_LOSS5 + example: "5481217.00" + GRP_TURNOVER1 : + type: string + description: |+ + Group Turnover / Sales and Other Operating Revenues + Subsequent Years: + GRP_TURNOVER2 + GRP_TURNOVER3 + GRP_TURNOVER4 + GRP_TURNOVER5 + example: "0.00" + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: "0.00" + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: "0.00" + GRP_NETINC_NON_EXT1 : + type: string + description: |+ + Group Net Income / Loss From Extraordinary and Non-Operating Items + Subsequent Years: + GRP_NETINC_NON_EXT2 + GRP_NETINC_NON_EXT3 + GRP_NETINC_NON_EXT4 + GRP_NETINC_NON_EXT5 + example: "0.00" + GRP_PL_AFT_TAX_EXT1: + type: string + description: |+ + Group Profit / Loss After Tax and Extraordinary items + Subsequent Years: + GRP_ PL_AFT_TAX_EXT2 + GRP_ PL_AFT_TAX_EXT3 + GRP_ PL_AFT_TAX_EXT4 + GRP_ PL_AFT_TAX_EXT5 + example: "0.00" + GRP_TOT_ASSETS1: + type: string + description: |+ + Group Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: "0.00" + GRP_TA_CURRENT1 : + type: string + description: |+ + Group Total Assets – Current + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT5 + example: "0.00" + GRP_TA_FIXED1 : + type: string + description: |+ + Group Total Assets – Fixed and Others + Subsequent Years: + GRP_TA_FIXED2 + GRP_TA_FIXED3 + GRP_TA_FIXED4 + GRP_TA_FIXED5 + example: "0.00" + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: "0.00" + GRP_TL_CURRENT1 : + type: string + description: |+ + Group Total Liabilities - Current + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: "0.00" + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group Total Liabilities – Non-Current & Long Term + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: "0.00" + GRP_SH_FUNDS1 : + type: string + description: |+ + Group Shareholder’s Fund + Subsequent Years: + GRP_ SH_FUNDS2 + GRP_ SH_FUNDS3 + GRP_ SH_FUNDS4 + GRP_ SH_FUNDS5 + example: "0.00" + GRP_SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Group Shareholder’s Fund – Paid Up Capital + Subsequent Years: + GRP_SH_PAIDUP_CAPITAL2 + GRP_SH_PAIDUP_CAPITAL3 + GRP_SH_PAIDUP_CAPITAL4 + GRP_SH_PAIDUP_CAPITAL5 + example: "0.00" + GRP_SH_RESERVES1: + type: string + description: |+ + Group Shareholder’s Fund - Reserves + Subsequent Years: + GRP_SH_RESERVES2 + GRP_SH_RESERVES3 + GRP_SH_RESERVES4 + GRP_SH_RESERVES5 + example: "0.00" + GRP_SH_ACCUM_LOSS1 : + type: string + description: |+ + Group Shareholder’s Fund – Accumulated Loss + Subsequent Years: + GRP_SH_ACCUM_LOSS2 + GRP_SH_ACCUM_LOSS3 + GRP_SH_ACCUM_LOSS4 + GRP_SH_ACCUM_LOSS5 + example: "0.00" + GRP_INDICATOR1 : + type: string + description: |+ + Company Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: "B" + XBRL_DTL: + type: object + description: |+ + XBRL filed after 1 Nov 2007 with following children: + XBRL_YR1_CURR + REVENUE1 + PL_BEF_TAX1 + PL_AFT_TAX1 + TOT_ASSETS1 + TA_CURRENT1 + TA_NON_CURRENT1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + TOT_EQUITY1 + EQ_SH_CAPITAL1 + EQ_RESERVES1 + EQ_RETAINED_EARN1 + GRP_REVENUE1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_NON_CURRENT1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_TOT_EQUITY1 + GRP_SH_CAPITAL1 + GRP_RESERVES1 + GRP_RETAINED_EARN1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. + example: + XBRL_DTL: + XBRL_YR1_CURR: "(SGD)" + XBRL_YR2_CURR: "(SGD)" + REVENUE1: '10877254.00' + REVENUE2: '9982533.00' + PL_BEF_TAX1: '1121483.00' + PL_BEF_TAX2: '262632.00' + PL_AFT_TAX1: '1347380.00' + PL_AFT_TAX2: '262632.00' + TOT_ASSETS1: '6562990.00' + TOT_ASSETS2: '5424551.00' + TA_CURRENT1: '6283449.00' + TA_CURRENT2: '4948821.00' + TA_NON_CURRENT1: '279541.00' + TA_NON_CURRENT2: '475730.00' + TOT_LIABILITIES1: '8434195.00' + TOT_LIABILITIES2: '8643136.00' + TL_CURRENT1: '8434195.00' + TL_CURRENT2: '7933013.00' + TL_NON_CURRENT1: '0.00' + TL_NON_CURRENT2: '710123.00' + TOT_EQUITY1: "-1871205.00" + TOT_EQUITY2: "-3218585.00" + EQ_SH_CAPITAL1: '2000000.00' + EQ_SH_CAPITAL2: '2000000.00' + EQ_RESERVES1: '0.00' + EQ_RESERVES2: '0.00' + EQ_RETAINED_EARN1: "-3,871,205.00" + EQ_RETAINED_EARN2: "-5,218,585.00" + GRP_REVENUE1: '0.00' + GRP_REVENUE2: '0.00' + GRP_PL_BEF_TAX1: '0.00' + GRP_PL_BEF_TAX2: '0.00' + GRP_PL_AFT_TAX1: '0.00' + GRP_PL_AFT_TAX2: '0.00' + GRP_TOT_ASSETS1: '0.00' + GRP_TOT_ASSETS2: '0.00' + GRP_TA_CURRENT1: '0.00' + GRP_TA_CURRENT2: '0.00' + GRP_TA_NON_CURRENT1: '0.00' + GRP_TA_NON_CURRENT2: '0.00' + GRP_TOT_LIABILITIES1: '0.00' + GRP_TOT_LIABILITIES2: '0.00' + GRP_TL_CURRENT1: '0.00' + GRP_TL_CURRENT2: '0.00' + GRP_TL_NON_CURRENT1: '0.00' + GRP_TL_NON_CURRENT2: '0.00' + GRP_TOT_EQUITY1: '0.00' + GRP_TOT_EQUITY2: '0.00' + GRP_SH_CAPITAL1: '0.00' + GRP_SH_CAPITAL2: '0.00' + GRP_RESERVES1: '0.00' + GRP_RESERVES2: '0.00' + GRP_RETAINED_EARN1: '0.00' + GRP_RETAINED_EARN2: '0.00' + GRP_INDICATOR1: B + GRP_INDICATOR2: B + GRP_INDICATOR3: B + properties: + XBRL_YR1_CURR: + type: string + description: |+ + FH After Year 1 Currency + Subsequent Years: + XBRL_YR2_CURR + XBRL_YR3_CURR + XBRL_YR4_CURR + XBRL_YR5_CURR + example: "(SGD)" + REVENUE1 : + type: string + description: |+ + Revenue Amount + Subsequent Years: + REVENUE2 + REVENUE3 + REVENUE4 + REVENUE5 + example: "10877254.00" + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: "1121483.00" + PL_AFT_TAX1 : + type: string + description: |+ + Profit / Loss After Tax from Continuing Operations + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: "1347380.00" + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: "6562990.00" + TA_CURRENT1 : + type: string + description: |+ + Total Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: "6283449.00" + TA_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_NON_CURRENT2 + TA_NON_CURRENT3 + TA_NON_CURRENT4 + TA_NON_CURRENT5 + example: "279541.00" + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: "8434195.00" + TL_CURRENT1 : + type: string + description: |+ + Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: "8434195.00" + TL_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: "0.00" + TOT_EQUITY1 : + type: string + description: |+ + Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + TOT_EQUITY2 + TOT_EQUITY3 + TOT_EQUITY4 + TOT_EQUITY5 + example: "-1871205.00" + EQ_SH_CAPITAL1 : + type: string + description: |+ + Total Equity – Share Capital + Subsequent Years: + EQ_SH_CAPITAL2 + EQ_SH_CAPITAL3 + EQ_SH_CAPITAL4 + EQ_SH_CAPITAL5 + example: "2000000.00" + EQ_RESERVES1 : + type: string + description: |+ + Total Equity – Other Reserves + Subsequent Years: + EQ_RESERVES2 + EQ_RESERVES3 + EQ_RESERVES4 + EQ_RESERVES5 + example: "0.00" + EQ_RETAINED_EARN1 : + type: string + description: |+ + Total Equity – Retained Earnings (Accumulated Loss) + Subsequent Years: + EQ_RETAINED_EARN2 + EQ_RETAINED_EARN3 + EQ_RETAINED_EARN4 + EQ_RETAINED_EARN5 + example: "-3,871,205.00" + GRP_REVENUE1 : + type: string + description: |+ + Group’s Revenue Amount + Subsequent Years: + GRP_REVENUE2 + GRP_REVENUE3 + GRP_REVENUE4 + GRP_REVENUE5 + example: "0.00" + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: "0.00" + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax from Continuing Operations + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: "0.00" + GRP_TOT_ASSETS1 : + type: string + description: |+ + Group’s Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: "0.00" + GRP_TA_CURRENT1 : + type: string + description: |+ + Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT4 + example: "0.00" + GRP_TA_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_NON_CURRENT2 + GRP_TA_NON_CURRENT3 + GRP_TA_NON_CURRENT4 + GRP_TA_NON_CURRENT4 + example: "0.00" + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group’s Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: "0.00" + GRP_TL_CURRENT1 : + type: string + description: |+ + Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: "0.00" + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: "0.00" + GRP_TOT_EQUITY1 : + type: string + description: |+ + Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + GRP_TOT_EQUITY2 + GRP_TOT_EQUITY3 + GRP_TOT_EQUITY4 + GRP_TOT_EQUITY5 + example: "0.00" + GRP_SH_CAPITAL1 : + type: string + description: |+ + Group’s Share Capital + Subsequent Years: + GRP_SH_CAPITAL2 + GRP_SH_CAPITAL3 + GRP_SH_CAPITAL4 + GRP_SH_CAPITAL5 + example: "0.00" + GRP_RESERVES1 : + type: string + description: |+ + Group’s Other Reserves + Subsequent Years: + GRP_RESERVES2 + GRP_RESERVES3 + GRP_RESERVES4 + GRP_RESERVES5 + example: "0.00" + GRP_RETAINED_EARN1 : + type: string + description: |+ + Group’s – Retained Earnings (Accumulated Loss) + Subsequent Years: + GRP_RETAINED_EARN2 + GRP_RETAINED_EARN3 + GRP_RETAINED_EARN4 + GRP_RETAINED_EARN5 + example: "0.00" + GRP_INDICATOR1 : + type: string + description: |+ + XBRL Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: "B" + FH_RATIOS_DTL: + type: object + description: |+ + Accounting Ratios Details with following children: + RATE_NET_PROFIT1 + RET_INVESTMENT1 + RET_SH_FUNDS1 + TOT_ASSETS_TURNOVER1 + CURR_CAPITAL_RATIO1 + PROPRIETARY_RATIO1 + TOTAL_DEBT_RATIO1 + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. + example: + FH_RATIOS_DTL: + RATE_NET_PROFIT1: '12.39' + RATE_NET_PROFIT2: '2.63' + RATE_NET_PROFIT3: '0.00' + RATE_NET_PROFIT4: '0.00' + RATE_NET_PROFIT5: '0.00' + RET_INVESTMENT1: '20.53' + RET_INVESTMENT2: '4.84' + RET_INVESTMENT3: '0.00' + RET_INVESTMENT4: '0.00' + RET_INVESTMENT5: '0.00' + RET_SH_FUNDS1: "-72.01" + RET_SH_FUNDS2: "-8.16" + RET_SH_FUNDS3: "-0.00" + RET_SH_FUNDS4: "-0.00" + RET_SH_FUNDS5: "-0.00" + TOT_ASSETS_TURNOVER1: '1.66' + TOT_ASSETS_TURNOVER2: '1.84' + TOT_ASSETS_TURNOVER3: '2.42' + TOT_ASSETS_TURNOVER4: '2.54' + TOT_ASSETS_TURNOVER5: '1.78' + CURR_CAPITAL_RATIO1: '0.74' + CURR_CAPITAL_RATIO2: '0.62' + CURR_CAPITAL_RATIO3: '0.50' + CURR_CAPITAL_RATIO4: '0.46' + CURR_CAPITAL_RATIO5: '0.55' + PROPRIETARY_RATIO1: "-28.51" + PROPRIETARY_RATIO2: "-59.33" + PROPRIETARY_RATIO3: "-89.51" + PROPRIETARY_RATIO4: "-101.59" + PROPRIETARY_RATIO5: "-75.15" + TOTAL_DEBT_RATIO1: '128.51' + TOTAL_DEBT_RATIO2: '168.27' + TOTAL_DEBT_RATIO3: '189.51' + TOTAL_DEBT_RATIO4: '201.59' + TOTAL_DEBT_RATIO5: '175.15' + properties: + RATE_NET_PROFIT1 : + type: string + description: |+ + Rate of Net Profit On Sales (%) + Subsequent Years: + RATE_NET_PROFIT2 + RATE_NET_PROFIT3 + RATE_NET_PROFIT4 + RATE_NET_PROFIT5 + example: "12.39" + RET_INVESTMENT1 : + type: string + description: |+ + Return of Investment (%) + Subsequent Years: + RET_INVESTMENT2 + RET_INVESTMENT3 + RET_INVESTMENT4 + RET_INVESTMENT5 + example: "20.53" + RET_SH_FUNDS1 : + type: string + description: |+ + Return of Shareholder’s Funds (%) + Subsequent Years: + RET_SH_FUNDS2 + RET_SH_FUNDS3 + RET_SH_FUNDS4 + RET_SH_FUNDS4 + example: "-72.01" + TOT_ASSETS_TURNOVER1 : + type: string + description: |+ + Total Assets Turnover (%) + Subsequent Years: + TOT_ASSETS_TURNOVER2 + TOT_ASSETS_TURNOVER3 + TOT_ASSETS_TURNOVER4 + TOT_ASSETS_TURNOVER5 + example: "1.66" + CURR_CAPITAL_RATIO1: + type: string + description: |+ + Current / Working Capital Ratio (%) + Subsequent Years: + CURR_CAPITAL_RATIO2 + CURR_CAPITAL_RATIO3 + CURR_CAPITAL_RATIO4 + CURR_CAPITAL_RATIO5 + example: "0.74" + PROPRIETARY_RATIO1: + type: string + description: |+ + Proprietary Ratio (%) 1 + Subsequent Years: + PROPRIETARY_RATIO2 + PROPRIETARY_RATIO3 + PROPRIETARY_RATIO4 + PROPRIETARY_RATIO5 + example: "-28.51" + TOTAL_DEBT_RATIO1 : + type: string + description: |+ + Total Debt to Equity Ratio (%) 1 + Subsequent Years: + TOTAL_DEBT_RATIO2 + TOTAL_DEBT_RATIO3 + TOTAL_DEBT_RATIO4 + TOTAL_DEBT_RATIO5 + example: "128.51" + LIST_FH_CHART_INFO : + type: array + example: + LIST_FH_CHART_INFO: + FH_CHART_INFO: + PROFIT_LOSS: '1121483.0' + REVENUE: '10877254' + YEAR: '2008' + description: |+ + List of chart info with following children: + [FH_CHART_INFO] + items: + properties: + FH_CHART_INFO: + type: object + description: |+ + Chart Info info with following children: + YEAR + REVENUE + PROFIT_LOSS + properties: + PROFIT_LOSS: + type: string + example: "1121483.0" + description: Profit / Loss Before Tax of the year + REVENUE: + type: string + example: "10877254" + description: Revenue Amount of the year + YEAR: + type: string + example: "2008" + description: Financial Year + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + total_items: + type: integer + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + subject_idno: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + subject_name: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json format + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/d&b_brief_financial_information_sg_v0.1.yaml b/data/d&b_brief_financial_information_sg_v0.1.yaml index dbd571b92..4c2621fa0 100644 --- a/data/d&b_brief_financial_information_sg_v0.1.yaml +++ b/data/d&b_brief_financial_information_sg_v0.1.yaml @@ -1,1422 +1,1424 @@ -openapi: 3.0.1 -info: - title: D&B Brief Financial Information (SG) - description: This Data microservice provides the annual financial information of Singapore-registered businesses, inclusive of annual profit and loss and financial ratios. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios. - - Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. - version: '0.1.0' - x-subscribelink: d&b_brief_financial_information_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 15, 2019" -paths: - /dnb/prod/sbfe: - post: - tags: - - v0.1.0 - summary: Adds a new user - requestBody: - content: - application/xml: - schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: Ok - content: - application/xml: - schema: - $ref: '#/components/schemas/success' - example: |+ - - 25/02/2009 17:31:44> - - - 2009-04-21 10:56:06.716 - 2004 2003 2002 2005 - 2006 2007 2008 2009 2008 2007 2006 2005 2004 - - 9403795.00 8617168.00 7807393.00 31467.00 162620.00 1281387.00 31467.00 162620.00 1281387.00 0.00 0.00 60318.00> 31467.00 162620.00 1341705.00 3889213.00 3395740.00 4374368.00 3359007.00 2855754.00 3546381.00 530206.00 539986.00 827987.00> 7370430.00 6845490.00 7661498.00 6739073.00 6157560.00 6435365.00 631357.00 687930.00 122133.00 -3481217.00 -3449750.00 -3287130.00 2000000.00 2000000.00 2000000.00 0.00 0.00 0.00 5481217.00 5449750.00 5287130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - - 10877254.00 9982533.00 1121483.00 262632.00 1347380.00 262632.00 6562990.00 5424551.00 6283449.00 4948821.00 279541.00 475730.00 8434195.00 8643136.00 8434195.00 7933013.00 0.00 710123.00 -1871205.00 -3218585.00 2000000.00 2000000.00 0.00 0.00 -3,871,205.00 -5,218,585.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 - 0.00 0.00 0.00 0.00 - - 12.39 2.63 0.00 0.00 0.00 20.53 4.84 0.00 0.00 0.00 -72.01 -8.16 -0.00 -0.00 -0.00 1.66 1.84 2.42 2.54 1.78 0.74 0.62 0.50 0.46 0.55 -28.51 -59.33 -89.51 -101.59 -75.15 128.51 168.27 189.51 201.59 175.15 - - 1121483.0 10877254 2008 - - 262632.0> 9982533 2007 - - -31467.0 9403795 2006 - - -162620.0 8617168 2005 - - -1281387.0 7807393 2004 - - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - description: |+ - Report details with following children: - [META_INFO] - [FH_SEARCH_INFO] - [FH_DTL] - [XBRL_DTL] - [FH_RATIO_DTL] - [LIST_FH_CHART_INFO] - example: - properties: - META_INFO: - type: object - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - example: |+ - - - - 25/02/2009 17:31:44> - - - properties: - SERVICE: - type: string - description: Report Requested - example: "BFE" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: string - description: Report Request Date - example: "25/02/2009 17:31:44" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - FH_SEARCH_INFO: - type: object - description: |+ - FH search information with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - FH_BEFORE_YR1 - FH_BEFORE_YR2 - FH_BEFORE_YR3 - FH_BEFORE_YR4 - FH_BEFORE_YR5 - FH_AFTER_YR1 - FH_AFTER_YR2 - FH_AFTER_YR3 - FH_AFTER_YR4 - FH_AFTER_YR5 - AC_RATIOS_YR1 - AC_RATIOS_YR2 - AC_RATIOS_YR3 - AC_RATIOS_YR4 - AC_RATIOS_YR5 - example: |+ - - - - 2009-04-21 10:56:06.716 - - - - 2004 - 2003 - 2002 - 2005 - 2006 - 2007 - 2008 - 2009 - 2008 - 2007 - 2006 - 2005 - 2004 - - properties: - COMP_NAME : - type: string - description: Company Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REG_NO : - type: string - description: Company Registration No - example: "200003058W" - REQ_DATE : - type: datetime - description: Requested Date - example: "2009-04-21 10:56:06.716" - REQ_REG_NO : - type: string - description: Request Registration Number - example: "200003058W" - REQ_NAME : - type: string - description: Request Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REQ_DATE_STR : - type: string - description: Request Date String - example: "21/04/2009 10:56:06" - FH_BEFORE_YR1 : - type: string - description: Financial Highlight filed before year 1 - example: "2004" - FH_BEFORE_YR2 : - type: string - description: Financial Highlight filed before year 2 - example: "2003" - FH_BEFORE_YR3 : - type: string - description: Financial Highlight filed before year 3 - example: "2002" - FH_AFTER_YR1: - type: string - description: Financial Highlight filed after year 1 - example: "2005" - FH_AFTER_YR2 : - type: string - description: Financial Highlight filed after year 2 - example: "2006" - FH_AFTER_YR3 : - type: string - description: Financial Highlight filed after year 3 - example: "2007" - FH_AFTER_YR4: - type: string - description: Financial Highlight filed after year 4 - example: "2008" - FH_AFTER_YR5: - type: string - description: Financial Highlight filed after year 5 - example: "2009" - AC_RATIOS_YR1 : - type: string - description: Account Ratio year 1 - example: "2008" - AC_RATIOS_YR2 : - type: string - description: Account Ratio year 2 - example: "2007" - AC_RATIOS_YR3 : - type: string - description: Account Ratio year 3 - example: "2006" - AC_RATIOS_YR4 : - type: string - description: Account Ratio year 4 - example: "2005" - AC_RATIOS_YR5 : - type: string - description: Account Ratio year 5 - example: "2004" - FH_DTL: - type: object - description: |+ - Financial Highlight with following children: - FH_YR1_CURR - TURNOVER1 - PL_BEF_TAX1 - PL_AFT_TAX1 - NETINC_NON_EXT1 - PL_AFT_TAX_EXT1 - TOT_ASSETS1 - TA_CURRENT1 - TA_FIXED1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - SH_FUNDS1 - SH_PAIDUP_CAPITAL1 - SH_RESERVES1 - SH_ACCUM_LOSS1 - GRP_TURNOVER1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_NETINC_NON_EXT1 - GRP_PL_AFT_TAX_EXT1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_FIXED1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_SH_FUNDS1 - GRP_SH_PAIDUP_CAPITAL1 - GRP_SH_RESERVES1 - GRP_SH_ACCUM_LOSS1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. - example: |+ - - - - - 9403795.00 - 8617168.00 - 7807393.00 - 31467.00 - 162620.00 - 1281387.00 - 31467.00 - 162620.00 - 1281387.00 - 0.00 - 0.00 - 60318.00> - 31467.00 - 162620.00 - 1341705.00 - 3889213.00 - 3395740.00 - 4374368.00 - 3359007.00 - 2855754.00 - 3546381.00 - 530206.00 - 539986.00 - 827987.00> - 7370430.00 - 6845490.00 - 7661498.00 - 6739073.00 - 6157560.00 - 6435365.00 - 631357.00 - 687930.00 - 122133.00 - -3481217.00 - -3449750.00 - -3287130.00 - 2000000.00 - 2000000.00 - 2000000.00 - 0.00 - 0.00 - 0.00 - 5481217.00 - 5449750.00 - 5287130.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - - - - - properties: - FH_YR1_CURR : - type: string - description: |+ - FH Before Year 1 Currency - Subsequent Years: - FH_YR2_CURR - FH_YR3_CURR - FH_YR4_CURR - FH_YR5_CURR - example: "(SGD)" - TURNOVER1 : - type: string - description: |+ - Turnover / Sales And Other Operating Revenues - Subsequent Years: - TURNOVER2 - TURNOVER3 - TURNOVER4 - TURNOVER5 - example: "9403795.00" - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: "31467.00" - PL_AFT_TAX1: - type: string - description: |+ - Profit / Loss After Tax - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: "31467.00" - NETINC_NON_EXT1: - type: string - description: |+ - Net Income / Loss From Extraordinary And Non- Operating Items - Subsequent Years: - NETINC_NON_EXT2 - NETINC_NON_EXT3 - NETINC_NON_EXT4 - NETINC_NON_EXT5 - example: "0.00" - PL_AFT_TAX_EXT1 : - type: string - description: |+ - Profit / Loss After Tax and Extraordinary Items - Subsequent Years: - PL_AFT_TAX_EXT2 - PL_AFT_TAX_EXT3 - PL_AFT_TAX_EXT4 - PL_AFT_TAX_EXT5 - example: "31467.00" - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: "3889213.00" - TA_CURRENT1 : - type: string - description: |+ - Total Assets - Current - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: "3359007.00" - TA_FIXED1 : - type: string - description: |+ - Total Assets – Fixed and Others - Subsequent Years: - TA_FIXED2 - TA_FIXED3 - TA_FIXED4 - TA_FIXED5 - example: "530206.00" - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: "7370430.00" - TL_CURRENT1 : - type: string - description: |+ - Total Liabilities - Current - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: "6739073.00" - TL_NON_CURRENT1 : - type: string - description: |+ - Total Liabilities – Non- Current & Long Term - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: "631357.00" - SH_FUNDS1: - type: string - description: |+ - Shareholder’s Fund - Subsequent Years: - SH_FUNDS2 - SH_FUNDS3 - SH_FUNDS4 - SH_FUNDS5 - example: "-3481217.00" - SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Shareholder’s Fund – Paid Up Capital - Subsequent Years: - SH_PAIDUP_CAPITAL2 - SH_PAIDUP_CAPITAL3 - SH_PAIDUP_CAPITAL4 - SH_PAIDUP_CAPITAL5 - example: "2000000.00" - SH_RESERVES1 : - type: string - description: |+ - Shareholder’s Fund - Reserves - Subsequent Years: - SH_RESERVES2 - SH_RESERVES3 - SH_RESERVES4 - SH_RESERVES5 - example: "0.00" - SH_ACCUM_LOSS1: - type: string - description: |+ - Shareholder’s Fund – Accumulated Loss - Subsequent Years: - SH_ACCUM_LOSS2 - SH_ACCUM_LOSS3 - SH_ACCUM_LOSS4 - SH_ACCUM_LOSS5 - example: "5481217.00" - GRP_TURNOVER1 : - type: string - description: |+ - Group Turnover / Sales and Other Operating Revenues - Subsequent Years: - GRP_TURNOVER2 - GRP_TURNOVER3 - GRP_TURNOVER4 - GRP_TURNOVER5 - example: "0.00" - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: "0.00" - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: "0.00" - GRP_NETINC_NON_EXT1 : - type: string - description: |+ - Group Net Income / Loss From Extraordinary and Non-Operating Items - Subsequent Years: - GRP_NETINC_NON_EXT2 - GRP_NETINC_NON_EXT3 - GRP_NETINC_NON_EXT4 - GRP_NETINC_NON_EXT5 - example: "0.00" - GRP_PL_AFT_TAX_EXT1: - type: string - description: |+ - Group Profit / Loss After Tax and Extraordinary items - Subsequent Years: - GRP_ PL_AFT_TAX_EXT2 - GRP_ PL_AFT_TAX_EXT3 - GRP_ PL_AFT_TAX_EXT4 - GRP_ PL_AFT_TAX_EXT5 - example: "0.00" - GRP_TOT_ASSETS1: - type: string - description: |+ - Group Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: "0.00" - GRP_TA_CURRENT1 : - type: string - description: |+ - Group Total Assets – Current - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT5 - example: "0.00" - GRP_TA_FIXED1 : - type: string - description: |+ - Group Total Assets – Fixed and Others - Subsequent Years: - GRP_TA_FIXED2 - GRP_TA_FIXED3 - GRP_TA_FIXED4 - GRP_TA_FIXED5 - example: "0.00" - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: "0.00" - GRP_TL_CURRENT1 : - type: string - description: |+ - Group Total Liabilities - Current - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: "0.00" - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group Total Liabilities – Non-Current & Long Term - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: "0.00" - GRP_SH_FUNDS1 : - type: string - description: |+ - Group Shareholder’s Fund - Subsequent Years: - GRP_ SH_FUNDS2 - GRP_ SH_FUNDS3 - GRP_ SH_FUNDS4 - GRP_ SH_FUNDS5 - example: "0.00" - GRP_SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Group Shareholder’s Fund – Paid Up Capital - Subsequent Years: - GRP_SH_PAIDUP_CAPITAL2 - GRP_SH_PAIDUP_CAPITAL3 - GRP_SH_PAIDUP_CAPITAL4 - GRP_SH_PAIDUP_CAPITAL5 - example: "0.00" - GRP_SH_RESERVES1: - type: string - description: |+ - Group Shareholder’s Fund - Reserves - Subsequent Years: - GRP_SH_RESERVES2 - GRP_SH_RESERVES3 - GRP_SH_RESERVES4 - GRP_SH_RESERVES5 - example: "0.00" - GRP_SH_ACCUM_LOSS1 : - type: string - description: |+ - Group Shareholder’s Fund – Accumulated Loss - Subsequent Years: - GRP_SH_ACCUM_LOSS2 - GRP_SH_ACCUM_LOSS3 - GRP_SH_ACCUM_LOSS4 - GRP_SH_ACCUM_LOSS5 - example: "0.00" - GRP_INDICATOR1 : - type: string - description: |+ - Company Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: "B" - XBRL_DTL: - type: object - description: |+ - XBRL filed after 1 Nov 2007 with following children: - XBRL_YR1_CURR - REVENUE1 - PL_BEF_TAX1 - PL_AFT_TAX1 - TOT_ASSETS1 - TA_CURRENT1 - TA_NON_CURRENT1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - TOT_EQUITY1 - EQ_SH_CAPITAL1 - EQ_RESERVES1 - EQ_RETAINED_EARN1 - GRP_REVENUE1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_NON_CURRENT1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_TOT_EQUITY1 - GRP_SH_CAPITAL1 - GRP_RESERVES1 - GRP_RETAINED_EARN1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. - example: |+ - - - - 10877254.00 - 9982533.00 - 1121483.00 - 262632.00 - 1347380.00 - 262632.00 - 6562990.00 - 5424551.00 - 6283449.00 - 4948821.00 - 279541.00 - 475730.00 - 8434195.00 - 8643136.00 - 8434195.00 - 7933013.00 - 0.00 - 710123.00 - -1871205.00 - -3218585.00 - 2000000.00 - 2000000.00 - 0.00 - 0.00 - -3,871,205.00 - -5,218,585.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - 0.00 - - - - - properties: - XBRL_YR1_CURR: - type: string - description: |+ - FH After Year 1 Currency - Subsequent Years: - XBRL_YR2_CURR - XBRL_YR3_CURR - XBRL_YR4_CURR - XBRL_YR5_CURR - example: "(SGD)" - REVENUE1 : - type: string - description: |+ - Revenue Amount - Subsequent Years: - REVENUE2 - REVENUE3 - REVENUE4 - REVENUE5 - example: "10877254.00" - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: "1121483.00" - PL_AFT_TAX1 : - type: string - description: |+ - Profit / Loss After Tax from Continuing Operations - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: "1347380.00" - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: "6562990.00" - TA_CURRENT1 : - type: string - description: |+ - Total Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: "6283449.00" - TA_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_NON_CURRENT2 - TA_NON_CURRENT3 - TA_NON_CURRENT4 - TA_NON_CURRENT5 - example: "279541.00" - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: "8434195.00" - TL_CURRENT1 : - type: string - description: |+ - Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: "8434195.00" - TL_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: "0.00" - TOT_EQUITY1 : - type: string - description: |+ - Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - TOT_EQUITY2 - TOT_EQUITY3 - TOT_EQUITY4 - TOT_EQUITY5 - example: "-1871205.00" - EQ_SH_CAPITAL1 : - type: string - description: |+ - Total Equity – Share Capital - Subsequent Years: - EQ_SH_CAPITAL2 - EQ_SH_CAPITAL3 - EQ_SH_CAPITAL4 - EQ_SH_CAPITAL5 - example: "2000000.00" - EQ_RESERVES1 : - type: string - description: |+ - Total Equity – Other Reserves - Subsequent Years: - EQ_RESERVES2 - EQ_RESERVES3 - EQ_RESERVES4 - EQ_RESERVES5 - example: "0.00" - EQ_RETAINED_EARN1 : - type: string - description: |+ - Total Equity – Retained Earnings (Accumulated Loss) - Subsequent Years: - EQ_RETAINED_EARN2 - EQ_RETAINED_EARN3 - EQ_RETAINED_EARN4 - EQ_RETAINED_EARN5 - example: "-3,871,205.00" - GRP_REVENUE1 : - type: string - description: |+ - Group’s Revenue Amount - Subsequent Years: - GRP_REVENUE2 - GRP_REVENUE3 - GRP_REVENUE4 - GRP_REVENUE5 - example: "0.00" - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: "0.00" - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax from Continuing Operations - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: "0.00" - GRP_TOT_ASSETS1 : - type: string - description: |+ - Group’s Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: "0.00" - GRP_TA_CURRENT1 : - type: string - description: |+ - Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT4 - example: "0.00" - GRP_TA_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_NON_CURRENT2 - GRP_TA_NON_CURRENT3 - GRP_TA_NON_CURRENT4 - GRP_TA_NON_CURRENT4 - example: "0.00" - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group’s Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: "0.00" - GRP_TL_CURRENT1 : - type: string - description: |+ - Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: "0.00" - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: "0.00" - GRP_TOT_EQUITY1 : - type: string - description: |+ - Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - GRP_TOT_EQUITY2 - GRP_TOT_EQUITY3 - GRP_TOT_EQUITY4 - GRP_TOT_EQUITY5 - example: "0.00" - GRP_SH_CAPITAL1 : - type: string - description: |+ - Group’s Share Capital - Subsequent Years: - GRP_SH_CAPITAL2 - GRP_SH_CAPITAL3 - GRP_SH_CAPITAL4 - GRP_SH_CAPITAL5 - example: "0.00" - GRP_RESERVES1 : - type: string - description: |+ - Group’s Other Reserves - Subsequent Years: - GRP_RESERVES2 - GRP_RESERVES3 - GRP_RESERVES4 - GRP_RESERVES5 - example: "0.00" - GRP_RETAINED_EARN1 : - type: string - description: |+ - Group’s – Retained Earnings (Accumulated Loss) - Subsequent Years: - GRP_RETAINED_EARN2 - GRP_RETAINED_EARN3 - GRP_RETAINED_EARN4 - GRP_RETAINED_EARN5 - example: "0.00" - GRP_INDICATOR1 : - type: string - description: |+ - XBRL Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: "B" - FH_RATIOS_DTL: - type: object - description: |+ - Accounting Ratios Details with following children: - RATE_NET_PROFIT1 - RET_INVESTMENT1 - RET_SH_FUNDS1 - TOT_ASSETS_TURNOVER1 - CURR_CAPITAL_RATIO1 - PROPRIETARY_RATIO1 - TOTAL_DEBT_RATIO1 - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. - example: |+ - - 12.39 - 2.63 - 0.00 - 0.00 - 0.00 - 20.53 - 4.84 - 0.00 - 0.00 - 0.00 - -72.01 - -8.16 - -0.00 - -0.00 - -0.00 - 1.66 - 1.84 - 2.42 - 2.54 - 1.78 - 0.74 - 0.62 - 0.50 - 0.46 - 0.55 - -28.51 - -59.33 - -89.51 - -101.59 - -75.15 - 128.51 - 168.27 - 189.51 - 201.59 - 175.15 - - properties: - RATE_NET_PROFIT1 : - type: string - description: |+ - Rate of Net Profit On Sales (%) - Subsequent Years: - RATE_NET_PROFIT2 - RATE_NET_PROFIT3 - RATE_NET_PROFIT4 - RATE_NET_PROFIT5 - example: "12.39" - RET_INVESTMENT1 : - type: string - description: |+ - Return of Investment (%) - Subsequent Years: - RET_INVESTMENT2 - RET_INVESTMENT3 - RET_INVESTMENT4 - RET_INVESTMENT5 - example: "20.53" - RET_SH_FUNDS1 : - type: string - description: |+ - Return of Shareholder’s Funds (%) - Subsequent Years: - RET_SH_FUNDS2 - RET_SH_FUNDS3 - RET_SH_FUNDS4 - RET_SH_FUNDS4 - example: "-72.01" - TOT_ASSETS_TURNOVER1 : - type: string - description: |+ - Total Assets Turnover (%) - Subsequent Years: - TOT_ASSETS_TURNOVER2 - TOT_ASSETS_TURNOVER3 - TOT_ASSETS_TURNOVER4 - TOT_ASSETS_TURNOVER5 - example: "1.66" - CURR_CAPITAL_RATIO1: - type: string - description: |+ - Current / Working Capital Ratio (%) - Subsequent Years: - CURR_CAPITAL_RATIO2 - CURR_CAPITAL_RATIO3 - CURR_CAPITAL_RATIO4 - CURR_CAPITAL_RATIO5 - example: "0.74" - PROPRIETARY_RATIO1: - type: string - description: |+ - Proprietary Ratio (%) 1 - Subsequent Years: - PROPRIETARY_RATIO2 - PROPRIETARY_RATIO3 - PROPRIETARY_RATIO4 - PROPRIETARY_RATIO5 - example: "-28.51" - TOTAL_DEBT_RATIO1 : - type: string - description: |+ - Total Debt to Equity Ratio (%) 1 - Subsequent Years: - TOTAL_DEBT_RATIO2 - TOTAL_DEBT_RATIO3 - TOTAL_DEBT_RATIO4 - TOTAL_DEBT_RATIO5 - example: "128.51" - LIST_FH_CHART_INFO : - type: array - example: |+ - - - 1121483.0 - 10877254 - 2008 - - - description: |+ - List of chart info with following children: - [FH_CHART_INFO] - items: - properties: - FH_CHART_INFO: - type: object - description: |+ - Chart Info info with following children: - YEAR - REVENUE - PROFIT_LOSS - properties: - PROFIT_LOSS: - type: string - example: "1121483.0" - description: Profit / Loss Before Tax of the year - REVENUE: - type: string - example: "10877254" - description: Revenue Amount of the year - YEAR: - type: string - example: "2008" - description: Financial Year - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - REQUEST: - type: object - properties: - TOT_ITEMS: - type: integer - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: - type: object - example: |+ - "197601887ETRANSTAR TRAVEL PTE LTD" - description: Contains information of each request details - default: true - properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: D&B Brief Financial Information (SG) + description: This Data microservice provides the annual financial information of Singapore-registered businesses, inclusive of annual profit and loss and financial ratios. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios. + - Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. + version: '0.1.0' + x-subscribelink: d&b_brief_financial_information_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides an annual financial information of Singapore-registered businesses. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 15, 2019" +paths: + /dnb/prod/sbfe: + post: + tags: + - v0.1.0 + summary: Adds a new user + requestBody: + content: + application/xml: + schema: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: Ok + content: + application/xml: + schema: + $ref: '#/components/schemas/success' + example: |+ + + 25/02/2009 17:31:44> + + + 2009-04-21 10:56:06.716 + 2004 2003 2002 2005 + 2006 2007 2008 2009 2008 2007 2006 2005 2004 + + 9403795.00 8617168.00 7807393.00 31467.00 162620.00 1281387.00 31467.00 162620.00 1281387.00 0.00 0.00 60318.00> 31467.00 162620.00 1341705.00 3889213.00 3395740.00 4374368.00 3359007.00 2855754.00 3546381.00 530206.00 539986.00 827987.00> 7370430.00 6845490.00 7661498.00 6739073.00 6157560.00 6435365.00 631357.00 687930.00 122133.00 -3481217.00 -3449750.00 -3287130.00 2000000.00 2000000.00 2000000.00 0.00 0.00 0.00 5481217.00 5449750.00 5287130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + + 10877254.00 9982533.00 1121483.00 262632.00 1347380.00 262632.00 6562990.00 5424551.00 6283449.00 4948821.00 279541.00 475730.00 8434195.00 8643136.00 8434195.00 7933013.00 0.00 710123.00 -1871205.00 -3218585.00 2000000.00 2000000.00 0.00 0.00 -3,871,205.00 -5,218,585.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 0.00 0.00 0.00 0.00 + + 12.39 2.63 0.00 0.00 0.00 20.53 4.84 0.00 0.00 0.00 -72.01 -8.16 -0.00 -0.00 -0.00 1.66 1.84 2.42 2.54 1.78 0.74 0.62 0.50 0.46 0.55 -28.51 -59.33 -89.51 -101.59 -75.15 128.51 168.27 189.51 201.59 175.15 + + 1121483.0 10877254 2008 + + 262632.0> 9982533 2007 + + -31467.0 9403795 2006 + + -162620.0 8617168 2005 + + -1281387.0 7807393 2004 + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + description: |+ + Report details with following children: + [META_INFO] + [FH_SEARCH_INFO] + [FH_DTL] + [XBRL_DTL] + [FH_RATIO_DTL] + [LIST_FH_CHART_INFO] + example: + properties: + META_INFO: + type: object + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + example: |+ + + + + 25/02/2009 17:31:44> + + + properties: + SERVICE: + type: string + description: Report Requested + example: "BFE" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: string + description: Report Request Date + example: "25/02/2009 17:31:44" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + FH_SEARCH_INFO: + type: object + description: |+ + FH search information with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + FH_BEFORE_YR1 + FH_BEFORE_YR2 + FH_BEFORE_YR3 + FH_BEFORE_YR4 + FH_BEFORE_YR5 + FH_AFTER_YR1 + FH_AFTER_YR2 + FH_AFTER_YR3 + FH_AFTER_YR4 + FH_AFTER_YR5 + AC_RATIOS_YR1 + AC_RATIOS_YR2 + AC_RATIOS_YR3 + AC_RATIOS_YR4 + AC_RATIOS_YR5 + example: |+ + + + + 2009-04-21 10:56:06.716 + + + + 2004 + 2003 + 2002 + 2005 + 2006 + 2007 + 2008 + 2009 + 2008 + 2007 + 2006 + 2005 + 2004 + + properties: + COMP_NAME : + type: string + description: Company Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REG_NO : + type: string + description: Company Registration No + example: "200003058W" + REQ_DATE : + type: datetime + description: Requested Date + example: "2009-04-21 10:56:06.716" + REQ_REG_NO : + type: string + description: Request Registration Number + example: "200003058W" + REQ_NAME : + type: string + description: Request Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REQ_DATE_STR : + type: string + description: Request Date String + example: "21/04/2009 10:56:06" + FH_BEFORE_YR1 : + type: string + description: Financial Highlight filed before year 1 + example: "2004" + FH_BEFORE_YR2 : + type: string + description: Financial Highlight filed before year 2 + example: "2003" + FH_BEFORE_YR3 : + type: string + description: Financial Highlight filed before year 3 + example: "2002" + FH_AFTER_YR1: + type: string + description: Financial Highlight filed after year 1 + example: "2005" + FH_AFTER_YR2 : + type: string + description: Financial Highlight filed after year 2 + example: "2006" + FH_AFTER_YR3 : + type: string + description: Financial Highlight filed after year 3 + example: "2007" + FH_AFTER_YR4: + type: string + description: Financial Highlight filed after year 4 + example: "2008" + FH_AFTER_YR5: + type: string + description: Financial Highlight filed after year 5 + example: "2009" + AC_RATIOS_YR1 : + type: string + description: Account Ratio year 1 + example: "2008" + AC_RATIOS_YR2 : + type: string + description: Account Ratio year 2 + example: "2007" + AC_RATIOS_YR3 : + type: string + description: Account Ratio year 3 + example: "2006" + AC_RATIOS_YR4 : + type: string + description: Account Ratio year 4 + example: "2005" + AC_RATIOS_YR5 : + type: string + description: Account Ratio year 5 + example: "2004" + FH_DTL: + type: object + description: |+ + Financial Highlight with following children: + FH_YR1_CURR + TURNOVER1 + PL_BEF_TAX1 + PL_AFT_TAX1 + NETINC_NON_EXT1 + PL_AFT_TAX_EXT1 + TOT_ASSETS1 + TA_CURRENT1 + TA_FIXED1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + SH_FUNDS1 + SH_PAIDUP_CAPITAL1 + SH_RESERVES1 + SH_ACCUM_LOSS1 + GRP_TURNOVER1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_NETINC_NON_EXT1 + GRP_PL_AFT_TAX_EXT1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_FIXED1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_SH_FUNDS1 + GRP_SH_PAIDUP_CAPITAL1 + GRP_SH_RESERVES1 + GRP_SH_ACCUM_LOSS1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. + example: |+ + + + + + 9403795.00 + 8617168.00 + 7807393.00 + 31467.00 + 162620.00 + 1281387.00 + 31467.00 + 162620.00 + 1281387.00 + 0.00 + 0.00 + 60318.00> + 31467.00 + 162620.00 + 1341705.00 + 3889213.00 + 3395740.00 + 4374368.00 + 3359007.00 + 2855754.00 + 3546381.00 + 530206.00 + 539986.00 + 827987.00> + 7370430.00 + 6845490.00 + 7661498.00 + 6739073.00 + 6157560.00 + 6435365.00 + 631357.00 + 687930.00 + 122133.00 + -3481217.00 + -3449750.00 + -3287130.00 + 2000000.00 + 2000000.00 + 2000000.00 + 0.00 + 0.00 + 0.00 + 5481217.00 + 5449750.00 + 5287130.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + + + + + properties: + FH_YR1_CURR : + type: string + description: |+ + FH Before Year 1 Currency + Subsequent Years: + FH_YR2_CURR + FH_YR3_CURR + FH_YR4_CURR + FH_YR5_CURR + example: "(SGD)" + TURNOVER1 : + type: string + description: |+ + Turnover / Sales And Other Operating Revenues + Subsequent Years: + TURNOVER2 + TURNOVER3 + TURNOVER4 + TURNOVER5 + example: "9403795.00" + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: "31467.00" + PL_AFT_TAX1: + type: string + description: |+ + Profit / Loss After Tax + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: "31467.00" + NETINC_NON_EXT1: + type: string + description: |+ + Net Income / Loss From Extraordinary And Non- Operating Items + Subsequent Years: + NETINC_NON_EXT2 + NETINC_NON_EXT3 + NETINC_NON_EXT4 + NETINC_NON_EXT5 + example: "0.00" + PL_AFT_TAX_EXT1 : + type: string + description: |+ + Profit / Loss After Tax and Extraordinary Items + Subsequent Years: + PL_AFT_TAX_EXT2 + PL_AFT_TAX_EXT3 + PL_AFT_TAX_EXT4 + PL_AFT_TAX_EXT5 + example: "31467.00" + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: "3889213.00" + TA_CURRENT1 : + type: string + description: |+ + Total Assets - Current + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: "3359007.00" + TA_FIXED1 : + type: string + description: |+ + Total Assets – Fixed and Others + Subsequent Years: + TA_FIXED2 + TA_FIXED3 + TA_FIXED4 + TA_FIXED5 + example: "530206.00" + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: "7370430.00" + TL_CURRENT1 : + type: string + description: |+ + Total Liabilities - Current + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: "6739073.00" + TL_NON_CURRENT1 : + type: string + description: |+ + Total Liabilities – Non- Current & Long Term + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: "631357.00" + SH_FUNDS1: + type: string + description: |+ + Shareholder’s Fund + Subsequent Years: + SH_FUNDS2 + SH_FUNDS3 + SH_FUNDS4 + SH_FUNDS5 + example: "-3481217.00" + SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Shareholder’s Fund – Paid Up Capital + Subsequent Years: + SH_PAIDUP_CAPITAL2 + SH_PAIDUP_CAPITAL3 + SH_PAIDUP_CAPITAL4 + SH_PAIDUP_CAPITAL5 + example: "2000000.00" + SH_RESERVES1 : + type: string + description: |+ + Shareholder’s Fund - Reserves + Subsequent Years: + SH_RESERVES2 + SH_RESERVES3 + SH_RESERVES4 + SH_RESERVES5 + example: "0.00" + SH_ACCUM_LOSS1: + type: string + description: |+ + Shareholder’s Fund – Accumulated Loss + Subsequent Years: + SH_ACCUM_LOSS2 + SH_ACCUM_LOSS3 + SH_ACCUM_LOSS4 + SH_ACCUM_LOSS5 + example: "5481217.00" + GRP_TURNOVER1 : + type: string + description: |+ + Group Turnover / Sales and Other Operating Revenues + Subsequent Years: + GRP_TURNOVER2 + GRP_TURNOVER3 + GRP_TURNOVER4 + GRP_TURNOVER5 + example: "0.00" + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: "0.00" + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: "0.00" + GRP_NETINC_NON_EXT1 : + type: string + description: |+ + Group Net Income / Loss From Extraordinary and Non-Operating Items + Subsequent Years: + GRP_NETINC_NON_EXT2 + GRP_NETINC_NON_EXT3 + GRP_NETINC_NON_EXT4 + GRP_NETINC_NON_EXT5 + example: "0.00" + GRP_PL_AFT_TAX_EXT1: + type: string + description: |+ + Group Profit / Loss After Tax and Extraordinary items + Subsequent Years: + GRP_ PL_AFT_TAX_EXT2 + GRP_ PL_AFT_TAX_EXT3 + GRP_ PL_AFT_TAX_EXT4 + GRP_ PL_AFT_TAX_EXT5 + example: "0.00" + GRP_TOT_ASSETS1: + type: string + description: |+ + Group Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: "0.00" + GRP_TA_CURRENT1 : + type: string + description: |+ + Group Total Assets – Current + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT5 + example: "0.00" + GRP_TA_FIXED1 : + type: string + description: |+ + Group Total Assets – Fixed and Others + Subsequent Years: + GRP_TA_FIXED2 + GRP_TA_FIXED3 + GRP_TA_FIXED4 + GRP_TA_FIXED5 + example: "0.00" + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: "0.00" + GRP_TL_CURRENT1 : + type: string + description: |+ + Group Total Liabilities - Current + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: "0.00" + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group Total Liabilities – Non-Current & Long Term + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: "0.00" + GRP_SH_FUNDS1 : + type: string + description: |+ + Group Shareholder’s Fund + Subsequent Years: + GRP_ SH_FUNDS2 + GRP_ SH_FUNDS3 + GRP_ SH_FUNDS4 + GRP_ SH_FUNDS5 + example: "0.00" + GRP_SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Group Shareholder’s Fund – Paid Up Capital + Subsequent Years: + GRP_SH_PAIDUP_CAPITAL2 + GRP_SH_PAIDUP_CAPITAL3 + GRP_SH_PAIDUP_CAPITAL4 + GRP_SH_PAIDUP_CAPITAL5 + example: "0.00" + GRP_SH_RESERVES1: + type: string + description: |+ + Group Shareholder’s Fund - Reserves + Subsequent Years: + GRP_SH_RESERVES2 + GRP_SH_RESERVES3 + GRP_SH_RESERVES4 + GRP_SH_RESERVES5 + example: "0.00" + GRP_SH_ACCUM_LOSS1 : + type: string + description: |+ + Group Shareholder’s Fund – Accumulated Loss + Subsequent Years: + GRP_SH_ACCUM_LOSS2 + GRP_SH_ACCUM_LOSS3 + GRP_SH_ACCUM_LOSS4 + GRP_SH_ACCUM_LOSS5 + example: "0.00" + GRP_INDICATOR1 : + type: string + description: |+ + Company Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: "B" + XBRL_DTL: + type: object + description: |+ + XBRL filed after 1 Nov 2007 with following children: + XBRL_YR1_CURR + REVENUE1 + PL_BEF_TAX1 + PL_AFT_TAX1 + TOT_ASSETS1 + TA_CURRENT1 + TA_NON_CURRENT1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + TOT_EQUITY1 + EQ_SH_CAPITAL1 + EQ_RESERVES1 + EQ_RETAINED_EARN1 + GRP_REVENUE1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_NON_CURRENT1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_TOT_EQUITY1 + GRP_SH_CAPITAL1 + GRP_RESERVES1 + GRP_RETAINED_EARN1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. + example: |+ + + + + 10877254.00 + 9982533.00 + 1121483.00 + 262632.00 + 1347380.00 + 262632.00 + 6562990.00 + 5424551.00 + 6283449.00 + 4948821.00 + 279541.00 + 475730.00 + 8434195.00 + 8643136.00 + 8434195.00 + 7933013.00 + 0.00 + 710123.00 + -1871205.00 + -3218585.00 + 2000000.00 + 2000000.00 + 0.00 + 0.00 + -3,871,205.00 + -5,218,585.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + 0.00 + + + + + properties: + XBRL_YR1_CURR: + type: string + description: |+ + FH After Year 1 Currency + Subsequent Years: + XBRL_YR2_CURR + XBRL_YR3_CURR + XBRL_YR4_CURR + XBRL_YR5_CURR + example: "(SGD)" + REVENUE1 : + type: string + description: |+ + Revenue Amount + Subsequent Years: + REVENUE2 + REVENUE3 + REVENUE4 + REVENUE5 + example: "10877254.00" + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: "1121483.00" + PL_AFT_TAX1 : + type: string + description: |+ + Profit / Loss After Tax from Continuing Operations + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: "1347380.00" + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: "6562990.00" + TA_CURRENT1 : + type: string + description: |+ + Total Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: "6283449.00" + TA_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_NON_CURRENT2 + TA_NON_CURRENT3 + TA_NON_CURRENT4 + TA_NON_CURRENT5 + example: "279541.00" + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: "8434195.00" + TL_CURRENT1 : + type: string + description: |+ + Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: "8434195.00" + TL_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: "0.00" + TOT_EQUITY1 : + type: string + description: |+ + Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + TOT_EQUITY2 + TOT_EQUITY3 + TOT_EQUITY4 + TOT_EQUITY5 + example: "-1871205.00" + EQ_SH_CAPITAL1 : + type: string + description: |+ + Total Equity – Share Capital + Subsequent Years: + EQ_SH_CAPITAL2 + EQ_SH_CAPITAL3 + EQ_SH_CAPITAL4 + EQ_SH_CAPITAL5 + example: "2000000.00" + EQ_RESERVES1 : + type: string + description: |+ + Total Equity – Other Reserves + Subsequent Years: + EQ_RESERVES2 + EQ_RESERVES3 + EQ_RESERVES4 + EQ_RESERVES5 + example: "0.00" + EQ_RETAINED_EARN1 : + type: string + description: |+ + Total Equity – Retained Earnings (Accumulated Loss) + Subsequent Years: + EQ_RETAINED_EARN2 + EQ_RETAINED_EARN3 + EQ_RETAINED_EARN4 + EQ_RETAINED_EARN5 + example: "-3,871,205.00" + GRP_REVENUE1 : + type: string + description: |+ + Group’s Revenue Amount + Subsequent Years: + GRP_REVENUE2 + GRP_REVENUE3 + GRP_REVENUE4 + GRP_REVENUE5 + example: "0.00" + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: "0.00" + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax from Continuing Operations + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: "0.00" + GRP_TOT_ASSETS1 : + type: string + description: |+ + Group’s Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: "0.00" + GRP_TA_CURRENT1 : + type: string + description: |+ + Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT4 + example: "0.00" + GRP_TA_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_NON_CURRENT2 + GRP_TA_NON_CURRENT3 + GRP_TA_NON_CURRENT4 + GRP_TA_NON_CURRENT4 + example: "0.00" + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group’s Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: "0.00" + GRP_TL_CURRENT1 : + type: string + description: |+ + Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: "0.00" + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: "0.00" + GRP_TOT_EQUITY1 : + type: string + description: |+ + Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + GRP_TOT_EQUITY2 + GRP_TOT_EQUITY3 + GRP_TOT_EQUITY4 + GRP_TOT_EQUITY5 + example: "0.00" + GRP_SH_CAPITAL1 : + type: string + description: |+ + Group’s Share Capital + Subsequent Years: + GRP_SH_CAPITAL2 + GRP_SH_CAPITAL3 + GRP_SH_CAPITAL4 + GRP_SH_CAPITAL5 + example: "0.00" + GRP_RESERVES1 : + type: string + description: |+ + Group’s Other Reserves + Subsequent Years: + GRP_RESERVES2 + GRP_RESERVES3 + GRP_RESERVES4 + GRP_RESERVES5 + example: "0.00" + GRP_RETAINED_EARN1 : + type: string + description: |+ + Group’s – Retained Earnings (Accumulated Loss) + Subsequent Years: + GRP_RETAINED_EARN2 + GRP_RETAINED_EARN3 + GRP_RETAINED_EARN4 + GRP_RETAINED_EARN5 + example: "0.00" + GRP_INDICATOR1 : + type: string + description: |+ + XBRL Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: "B" + FH_RATIOS_DTL: + type: object + description: |+ + Accounting Ratios Details with following children: + RATE_NET_PROFIT1 + RET_INVESTMENT1 + RET_SH_FUNDS1 + TOT_ASSETS_TURNOVER1 + CURR_CAPITAL_RATIO1 + PROPRIETARY_RATIO1 + TOTAL_DEBT_RATIO1 + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. + example: |+ + + 12.39 + 2.63 + 0.00 + 0.00 + 0.00 + 20.53 + 4.84 + 0.00 + 0.00 + 0.00 + -72.01 + -8.16 + -0.00 + -0.00 + -0.00 + 1.66 + 1.84 + 2.42 + 2.54 + 1.78 + 0.74 + 0.62 + 0.50 + 0.46 + 0.55 + -28.51 + -59.33 + -89.51 + -101.59 + -75.15 + 128.51 + 168.27 + 189.51 + 201.59 + 175.15 + + properties: + RATE_NET_PROFIT1 : + type: string + description: |+ + Rate of Net Profit On Sales (%) + Subsequent Years: + RATE_NET_PROFIT2 + RATE_NET_PROFIT3 + RATE_NET_PROFIT4 + RATE_NET_PROFIT5 + example: "12.39" + RET_INVESTMENT1 : + type: string + description: |+ + Return of Investment (%) + Subsequent Years: + RET_INVESTMENT2 + RET_INVESTMENT3 + RET_INVESTMENT4 + RET_INVESTMENT5 + example: "20.53" + RET_SH_FUNDS1 : + type: string + description: |+ + Return of Shareholder’s Funds (%) + Subsequent Years: + RET_SH_FUNDS2 + RET_SH_FUNDS3 + RET_SH_FUNDS4 + RET_SH_FUNDS4 + example: "-72.01" + TOT_ASSETS_TURNOVER1 : + type: string + description: |+ + Total Assets Turnover (%) + Subsequent Years: + TOT_ASSETS_TURNOVER2 + TOT_ASSETS_TURNOVER3 + TOT_ASSETS_TURNOVER4 + TOT_ASSETS_TURNOVER5 + example: "1.66" + CURR_CAPITAL_RATIO1: + type: string + description: |+ + Current / Working Capital Ratio (%) + Subsequent Years: + CURR_CAPITAL_RATIO2 + CURR_CAPITAL_RATIO3 + CURR_CAPITAL_RATIO4 + CURR_CAPITAL_RATIO5 + example: "0.74" + PROPRIETARY_RATIO1: + type: string + description: |+ + Proprietary Ratio (%) 1 + Subsequent Years: + PROPRIETARY_RATIO2 + PROPRIETARY_RATIO3 + PROPRIETARY_RATIO4 + PROPRIETARY_RATIO5 + example: "-28.51" + TOTAL_DEBT_RATIO1 : + type: string + description: |+ + Total Debt to Equity Ratio (%) 1 + Subsequent Years: + TOTAL_DEBT_RATIO2 + TOTAL_DEBT_RATIO3 + TOTAL_DEBT_RATIO4 + TOTAL_DEBT_RATIO5 + example: "128.51" + LIST_FH_CHART_INFO : + type: array + example: |+ + + + 1121483.0 + 10877254 + 2008 + + + description: |+ + List of chart info with following children: + [FH_CHART_INFO] + items: + properties: + FH_CHART_INFO: + type: object + description: |+ + Chart Info info with following children: + YEAR + REVENUE + PROFIT_LOSS + properties: + PROFIT_LOSS: + type: string + example: "1121483.0" + description: Profit / Loss Before Tax of the year + REVENUE: + type: string + example: "10877254" + description: Revenue Amount of the year + YEAR: + type: string + example: "2008" + description: Financial Year + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: integer + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + "197601887ETRANSTAR TRAVEL PTE LTD" + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json format + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index a98bc0afb..bc1b35ce8 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -1,2499 +1,2501 @@ -openapi: 3.0.1 -info: - title: D&B Business Check Plus (SG) - description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace (winding up records) of a company which includes the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships. - - Aside from being able to protect your business via litigation checks to safeguard against reputational risk by avoiding companies potentially involved in financial crimes, the information from this microservice can serve as a quick solution for analysts or lawyers in a company whom are looking to draft documents related to cooperate finance or legal domains with one quick search. - version: '1.0.0' - x-subscribelink: d&b_business_check_plus_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/sbcp/v1/getdata: - post: - tags: - - v1.0.0 - summary: Adds a new user - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - REPORT: - META_INFO: - SERVICE: - "@type": String - "#text": BCP - SYSTEM_ID: - "@type": String - "#text": DDP - CREATION_DATE: - "@type": Date - "#text": Wed Apr 08 11:37:51 MYT 2009 - USER_ID: - "@type": String - CLASS: - "@type": String - "#text": class com.technodex.ddp.xmlbean.MetaBean - REGISTRY_DETAIL: - "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean - RENEWAL_DATE: - "@type": String - "#text": 23/12/2008 - ADDRESS1: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01 - ADDRESS2: - "@type": String - "#text": KEPPEL BAY TOWER - ADDRESS3: - "@type": String - "#text": '098632' - ADDRESS4: - "@type": String - "#text": SINGAPORE - COMP_TYPE_CODE: - "@type": String - "#text": CP - REG_DATE: - "@type": String - "#text": 14/10/1974 - REG_ACTIVITY1: - "@type": String - "#text": OTHER INVESTMENT HOLDING COMPANIES - REG_ACTIVITY2: - "@type": String - "#text": SHIP MANAGEMENT SERVICES - ACC_DATE: - "@type": String - "#text": 31/12/2007 - STATUS_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - NAME_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - EXPIRY_DATE: - "@type": String - "#text": 25/10/2009 - COMP_TYPE: - "@type": String - "#text": LIMITED PRIVATE COMPANY - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - COMP_STATUS: - "@type": String - "#text": Live Company - REG_ACTIVITY_DESC1: - "@type": String - "#text": "-" - REG_ACTIVITY_DESC2: - "@type": String - "#text": "-" - AUDITOR: - "@type": String - "#text": "-" - AUDITOR_APPMT_DATE: - "@type": String - "#text": 13/06/1990 - LAST_AR_DATE: - "@type": String - "#text": 30/06/2008 - LAST_AGM_DATE: - "@type": String - "#text": 11/06/2008 - COUNTRY_INCORP: - "@type": String - "#text": SINGAPORE - REQ_SEARCH_INFO: - "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean - COMP_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REG_NO: - "@type": String - "#text": 197401835M - REQ_DATE: - "@type": Date - "#text": '2009-04-08 11:36:03.611' - REQ_REG_NO: - "@type": String - "#text": 197401835M - REQ_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REQ_DATE_STR: - "@type": String - "#text": '08/04/2009 11:36:03' - EMPLOYEE_SIZE: - ELEMENTS: Employee Size - AMOUNT: '300' - LIST_BIZ_BRANCH: - "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - LIST_REG_CHARGES: - "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean - REG_CHARGES: - - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '1000.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - - CHARGE_NO: - "@type": String - "#text": '8000976' - CHARGE_DATE: - "@type": String - "#text": 21/04/1980 - CHARGEE_COMP: - "@type": String - "#text": THE DEVELOPMENT BANK OF SINGAPORE LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": All Monies - STATUS_SATISFACTION: - "@type": String - "#text": "-" - LIST_LIQUIDATOR: - LIQUIDATOR: - - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - - LIQ_NAME: ANGELA ANG - LIQ_ID: S1633336D - LIQ_POSITION: Liquidator - LIQ_COMP: KING FINANCIAL ADVISORY SERVICES - LIQ_ADDRESS1: LEVEL 17 MLC CENTRE 19029 - LIQ_ADDRESS2: MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA - LIQ_APPOINTMENT_DATE: 18/02/2009 - LIST_WINDING_UP: - "@className": com.technodex.ddp.report.bean.CommercialBizWindingupBean - WINDING_UP: - CASE_CODE: - "@type": String - "#text": '40000' - CASE_YEAR: - "@type": String - "#text": '1999' - PLAINTIFF: - "@type": String - "#text": "-" - PLA_SOLICITOR_ID: - "@type": String - "#text": "-" - PLA_FILE_REF: - "@type": String - "#text": "-" - COURT_CODE: - "@type": String - "#text": CWU - CASE_TYPE: - "@type": String - "#text": COMPANY WINDING UP PETITION - CURRENCY1: - "@type": String - "#text": SGD - AMOUNT1: - "@type": String - "#text": '41,424.52' - CURRENCY2: - "@type": String - "#text": MYR - AMOUNT2: - "@type": String - "#text": '0.00' - CURRENCY3: - "@type": String - "#text": "-" - AMOUNT3: - "@type": String - "#text": '0.00' - BANKRUPTCY_ACT: - "@type": String - "#text": Petition for Winding Up - HEARING_DATE: - "@type": String - "#text": 15/12/2007 - ACTION_DATE: - "@type": String - "#text": 11/05/2007 - SUBJECT_NAME: - "@type": String - "#text": PROACTIVE BUILDERS - PLA_SOLICITOR: - "@type": String - "#text": "-" - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - LIST_LITIGATION: - "@className": com.technodex.ddp.report.bean.CommercialBizLitigationBean - LITIGATION: - SUBJECT_NAME: - "@type": String - "#text": SOON SOON SEAFOOD - NATURE_OF_CLAIM: - "@type": String - "#text": CONTRACT 3 - STATUS_DATE: - "@type": String - "#text": 01/05/2008 - CASE_NO: - "@type": String - "#text": MC 40001 / 1999 - DOC_REMARKS: - "@type": String - "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 - CURRENCY1: - "@type": String - "#text": SGD - CURRENCY2: - "@type": String - "#text": MYR - CURRENCY3: - "@type": String - "#text": USD - CURRENCY4: - "@type": String - "#text": "-" - CURRENCY5: - "@type": String - "#text": "-" - DEF_SOLICITOR: - "@type": String - "#text": SOL2 - DEF_SOLICITOR_ID: - "@type": String - "#text": '20000000' - DEF_LAW_FIRM: - "@type": String - "#text": NAME2 - DEF_FILE_REF: - "@type": String - "#text": FILE2 - DATE_OF_WRIT: - "@type": String - "#text": 01/01/2008 - STATUS: - "@type": String - "#text": CONCLUDED 3 - AMOUNT1: - "@type": String - "#text": '100.00' - AMOUNT2: - "@type": String - "#text": '200.00' - AMOUNT3: - "@type": String - "#text": '0.00' - AMOUNT4: - "@type": String - "#text": '400.00' - AMOUNT5: - "@type": String - "#text": '0.00' - PLAINTIFF: - "@type": String - "#text": MC 40001 - PLA_SOLICITOR: - "@type": String - "#text": SOL2 - PLA_SOLICITOR_ID: - "@type": String - "#text": '20000000' - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - PLA_FILE_REF: - "@type": String - "#text": FILE2 - PLA_ID: - "@type": String - "#text": S0739038F - PLA_STATUS: - "@type": String - "#text": SETTLED - BEFORE SET DOWN - PLA_STATUS_DATE: - "@type": String - "#text": 17/10/2016 - LIST_SHARE_INTEREST_COMP: - "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean - SHARE_INTEREST_COMP: - - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '436' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE: - "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean - NAME_CHANGE: - - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - - PREV_NAME: - "@type": String - "#text": SOON-SOON FISH-HEAD CURRY - EFFECT_DATE: - "@type": String - "#text": 10/06/1991 00:00:00 - LIST_SHAREHOLDER: - "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean - SHAREHOLDER: - - ADDRESS: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01; KEPPEL BAY TOWER; 098632,SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - - ADDRESS: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID: - "@type": String - "#text": 196500115G - NO_OF_SHARE: - "@type": String - "#text": '100,000' - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Ordinary - SHAREHOLDER_NAME: - "@type": String - "#text": KEPPEL TELECOMMUNICATIONS & TRANSPORTATION LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - LIST_CAPITAL: - "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean - CAPITAL: - - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Preference - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '14,600,511.00' - NO_OF_SHARES: - "@type": String - "#text": '657' - LIST_OFFICER_OWNER: - "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean - OFFICER_OWNER: - - ADDRESS: - "@type": String - "#text": 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742,SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - - ADDRESS: - "@type": String - "#text": 52 HUME AVENUE, 05 - 10 ; SUMMERHILL; 596230, SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S2504825C - PA_REG_NO: - "@type": String - "#text": '00091' - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": HENRY GOH - CHANGE_ADDR_DATE: - "@type": String - "#text": 30/10/2003 - APPMT_DATE: - "@type": String - "#text": 07/03/2006 - NATIONALITY: - "@type": String - "#text": SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT: - SALES_REVENUE_AMOUNT: - - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - - ELEMENTS: Sales Revenue Amount - YEAR: '2007' - CURRENCY: SGD - AMOUNT: '28000.00' - - ELEMENTS: Sales Revenue Amount - YEAR: '2006' - CURRENCY: SGD - AMOUNT: '27,000.00' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [REGISTRY_DETAIL] - [REQ_SEARCH_INFO] - [EMPLOYEE_SIZE] - [LIST_BIZ_BRANCH] - [LIST_REG_CHARGES] - [LIST_LIQUIDATOR] - [LIST_WINDING_UP] - [LIST_LITIGATION] - [LIST_SHARE_INTEREST_COMP] - [LIST_NAME_CHANGE] - [LIST_SHAREHOLDER] - [LIST_CAPITAL] - [LIST_OFFICER_OWNER] - [LIST_SALES_REVENUE_AMOUNT] - properties: - META_INFO: - type: object - example: - META_INFO: - SERVICE: - "@type": String - "#text": BCP - SYSTEM_ID: - "@type": String - "#text": DDP - CREATION_DATE: - "@type": Date - "#text": Wed Apr 08 11:37:51 MYT 2009 - USER_ID: - "@type": String - CLASS: - "@type": String - "#text": class com.technodex.ddp.xmlbean.MetaBean - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - CLASS - properties: - SERVICE: - type: string - description: Report requested - example: "BCP" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: datetime - description: Report request date - example: Wed Apr 08 11:37:51 MYT 2009 - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - CLASS: - type: string - description: Class location for metabean. It is for (For internal use) - example: N/A - REGISTRY_DETAIL : - type: object - example: - REGISTRY_DETAIL: - "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean - RENEWAL_DATE: - "@type": String - "#text": 23/12/2008 - ADDRESS1: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01 - ADDRESS2: - "@type": String - "#text": KEPPEL BAY TOWER - ADDRESS3: - "@type": String - "#text": '098632' - ADDRESS4: - "@type": String - "#text": SINGAPORE - COMP_TYPE_CODE: - "@type": String - "#text": CP - REG_DATE: - "@type": String - "#text": 14/10/1974 - REG_ACTIVITY1: - "@type": String - "#text": OTHER INVESTMENT HOLDING COMPANIES - REG_ACTIVITY2: - "@type": String - "#text": SHIP MANAGEMENT SERVICES - ACC_DATE: - "@type": String - "#text": 31/12/2007 - STATUS_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - NAME_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - EXPIRY_DATE: - "@type": String - "#text": 25/10/2009 - COMP_TYPE: - "@type": String - "#text": LIMITED PRIVATE COMPANY - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - COMP_STATUS: - "@type": String - "#text": Live Company - REG_ACTIVITY_DESC1: - "@type": String - "#text": "-" - REG_ACTIVITY_DESC2: - "@type": String - "#text": "-" - AUDITOR: - "@type": String - "#text": "-" - AUDITOR_APPMT_DATE: - "@type": String - "#text": 13/06/1990 - LAST_AR_DATE: - "@type": String - "#text": 30/06/2008 - LAST_AGM_DATE: - "@type": String - "#text": 11/06/2008 - COUNTRY_INCORP: - "@type": String - "#text": SINGAPORE - description: |+ - Registry Details with following children: - RENEWAL_DATE - ADDRESS1 - ADDRESS2 - ADDRESS3 - ADDRESS4 - COMP_TYPE_CODE - REG_DATE - REG_ACTIVITY1 - REG_ACTIVITY2 - ACC_DATE - STATUS_EFFECT_DATE - NAME_EFFECT_DATE - EXPIRY_DATE - COMP_TYPE - CHANGE_ADDR_DATE - COMP_STATUS - REG_ACTIVITY_DESC1 - REG_ACTIVITY_DESC2 - AUDITOR - AUDITOR_APPMT_DATE - LAST_AR_DATE - LAST_AGM_DATE - COUNTRY_INCORP - properties: - RENEWAL_DATE: - type: string - description: Renewal Date - example: "23/12/2008" - ADDRESS1: - type: string - description: Address Line 1 - example: "1 HARBOURFRONT AVENUE , 18 - 01" - ADDRESS2: - type: string - description: Address Line 2 - example: "KEPPEL BAY TOWER" - ADDRESS3: - type: string - description: Address Line 3 - example: "098632" - ADDRESS4: - type: string - description: Address Line 4 - example: "SINGAPORE" - COMP_TYPE_CODE: - type: string - example: CP - description: |+ - Report Code. Available values are: - 1. CP Corporate - 2. SP Sole Proprietor - REG_DATE: - type: string - description: Registration Date - example: "14/10/1974" - REG_ACTIVITY1: - type: string - description: Registered Activities 1 - example: "OTHER INVESTMENT HOLDING COMPANIES" - REG_ACTIVITY2: - type: string - description: Registered Activities 2 - example: "SHIP MANAGEMENT SERVICES" - ACC_DATE: - type: string - description: Account Date - example: "31/12/2007" - STATUS_EFFECT_DATE: - type: string - description: Status Effective Date - example: "14/10/1974" - NAME_EFFECT_DATE: - type: string - description: Name Effective Date - example: "14/10/1974" - EXPIRY_DATE: - type: string - description: Expiry Date - example: "25/10/2009" - COMP_TYPE: - type: string - description: Company Type - example: "LIMITED PRIVATE COMPANY" - CHANGE_ADDR_DATE: - type: string - description: Change Address Date - example: "09/05/2003" - COMP_STATUS: - type: string - description: Company Status - example: "Live Company" - REG_ACTIVITY_DESC1: - type: string - description: Registered Activities Description - example: - REG_ACTIVITY_DESC2: - type: string - description: Registered Activities Description - example: - AUDITOR: - type: string - description: Auditor Name - example: - AUDITOR_APPMT_DATE: - type: string - description: Auditor Appointment Date - example: "13/06/1990" - LAST_AR_DATE: - type: string - description: Date of Last AR - example: "30/06/2008" - LAST_AGM_DATE: - type: string - description: Date of Last AGM - example: "11/06/2008" - COUNTRY_INCORP: - type: string - description: Country Incorporated - example: "SINGAPORE" - REQ_SEARCH_INFO : - type: object - example: - REQ_SEARCH_INFO: - "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean - COMP_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REG_NO: - "@type": String - "#text": 197401835M - REQ_DATE: - "@type": Date - "#text": '2009-04-08 11:36:03.611' - REQ_REG_NO: - "@type": String - "#text": 197401835M - REQ_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REQ_DATE_STR: - "@type": String - "#text": '08/04/2009 11:36:03' - description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REG_NO: - type: string - description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "197401835M" - REQ_DATE: - type: datetime - description: Report Requested Date - example: 2009-04-08 11:36:03.611 - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197401835M" - REQ_NAME: - type: string - description: Request Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REQ_DATE_STR: - type: string - description: Request Date String - example: "08/04/2009 11:36:03" - EMPLOYEE_SIZE : - type: object - description: |+ - Employee Size details with following children: - ELEMENTS - AMOUNT - example: - EMPLOYEE_SIZE: - ELEMENTS: Employee Size - AMOUNT: '300' - properties: - ELEMENTS: - type: string - description: Description - example: "Employee Size" - AMOUNT: - type: integer - description: Number of employee - example: 300 - LIST_BIZ_BRANCH : - type: array - description: |+ - List of Business Branches with following children: - [BIZ_BRANCH] - example: - LIST_BIZ_BRANCH: - "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - items: - properties: - BIZ_BRANCH : - type: object - description: |+ - Business Branches with following children: - ADDR_BUILDING - ADDR_POSTCODE - ADDR_ADDRESS1 - example: - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - properties: - ADDR_BUILDING: - type: string - description: Building Name - example: - ADDR_POSTCODE: - type: string - description: Postcode - example: 289848 - ADDR_ADDRESS1: - type: string - description: Address - example: 251A ARCADIA ROAD - LIST_REG_CHARGES: - type: array - description: |+ - List of Registered Charges with following children: - [REG_CHARGES] - example: - LIST_REG_CHARGES: - "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean - REG_CHARGES: - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '1000.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - items: - properties: - REG_CHARGES : - type: object - description: |+ - Registered Charges details with following children: - CHARGE_NO - CHARGE_DATE - CHARGEE_COMP - CURRENCY - AMT_SECURED - STATUS_SATISFACTION - example: - REG_CHARGES: - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '1000.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - properties: - CHARGE_NO : - type: string - description: Charge No. - example: 8205117 - CHARGE_DATE: - type: string - description: Charge Date - example: 26/11/1982 - CHARGEE_COMP: - type: string - description: Charges Company - example: UNITED OVERSEAS BANK LIMITED - CURRENCY: - type: string - description: Currency - example: - AMT_SECURED: - type: string - description: Amount Secured - example: 1000.00 - STATUS_SATISFACTION: - type: string - description: Status of Satisfaction - example: - LIST_LIQUIDATOR: - type: array - description: |+ - List of Liquidator / Receiver / Judicial Manager with following children: - [LIQUIDATOR] - example: - LIST_LIQUIDATOR: - LIQUIDATOR: - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - items: - properties: - LIQUIDATOR : - type: object - description: |+ - Liquidator details with following children: - LIQ_POSITION - LIQ_ID - LIQ_NAME - LIQ_COMP - LIQ_ADDRESS1 - LIQ_ADDRESS2 - LIQ_ADDRESS3 - LIQ_ADDRESS4 - LIQ_APPOINTMENT_DATE - example: - LIQUIDATOR: - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - properties: - LIQ_POSITION: - type: string - description: Liquidator / Receiver / Judicial Manager Position - example: Liquidator - LIQ_ID: - type: string - description: Liquidator / Receiver / Judicial Manager ID - example: S1676216D - LIQ_NAME : - type: string - description: Liquidator / Receiver / Judicial Manager Name - example: ABUTHAHIR ABDUL GAFOOR - LIQ_COMP: - type: string - description: Liquidator / Receiver / Judicial Manager Company Name - example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: - type: string - description: Liquidator / Receiver / Judicial Manager Address 1 - example: 1 RAFFLES PLACE - LIQ_ADDRESS2: - type: string - description: Liquidator / Receiver / Judicial Manager Address 2 - example: #20-01 - LIQ_ADDRESS3: - type: string - description: Liquidator / Receiver / Judicial Manager Address 3 - example: OUB CENTRE - LIQ_ADDRESS4: - type: string - description: Liquidator / Receiver / Judicial Manager Address 4 - example: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: - type: string - description: Liquidator / Receiver / Judicial Manager Appointment Date - example: 30/03/2009 - LIST_WINDING_UP : - type: array - description: |+ - List of Winding Up with following children: - [WINDING_UP] - example: - LIST_WINDING_UP: - "@className": com.technodex.ddp.report.bean.CommercialBizWindingupBean - WINDING_UP: - CASE_CODE: - "@type": String - "#text": '40000' - CASE_YEAR: - "@type": String - "#text": '1999' - PLAINTIFF: - "@type": String - "#text": "-" - PLA_SOLICITOR_ID: - "@type": String - "#text": "-" - PLA_FILE_REF: - "@type": String - "#text": "-" - COURT_CODE: - "@type": String - "#text": CWU - CASE_TYPE: - "@type": String - "#text": COMPANY WINDING UP PETITION - CURRENCY1: - "@type": String - "#text": SGD - AMOUNT1: - "@type": String - "#text": '41,424.52' - CURRENCY2: - "@type": String - "#text": MYR - AMOUNT2: - "@type": String - "#text": '0.00' - CURRENCY3: - "@type": String - "#text": "-" - AMOUNT3: - "@type": String - "#text": '0.00' - BANKRUPTCY_ACT: - "@type": String - "#text": Petition for Winding Up - HEARING_DATE: - "@type": String - "#text": 15/12/2007 - ACTION_DATE: - "@type": String - "#text": 11/05/2007 - SUBJECT_NAME: - "@type": String - "#text": PROACTIVE BUILDERS - PLA_SOLICITOR: - "@type": String - "#text": "-" - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - items: - properties: - WINDING_UP : - type: object - description: |+ - Winding Up details with following children: - CASE_CODE - CASE_YEAR - PLAINTIFF - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_LAW_FIRM - SUBJECT_NAME - COURT_CODE - CASE_TYPE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - PLA_SOLICITOR - example: - WINDING_UP: - CASE_CODE: - "@type": String - "#text": '40000' - CASE_YEAR: - "@type": String - "#text": '1999' - PLAINTIFF: - "@type": String - "#text": "-" - PLA_SOLICITOR_ID: - "@type": String - "#text": "-" - PLA_FILE_REF: - "@type": String - "#text": "-" - COURT_CODE: - "@type": String - "#text": CWU - CASE_TYPE: - "@type": String - "#text": COMPANY WINDING UP PETITION - CURRENCY1: - "@type": String - "#text": SGD - AMOUNT1: - "@type": String - "#text": '41,424.52' - CURRENCY2: - "@type": String - "#text": MYR - AMOUNT2: - "@type": String - "#text": '0.00' - CURRENCY3: - "@type": String - "#text": "-" - AMOUNT3: - "@type": String - "#text": '0.00' - BANKRUPTCY_ACT: - "@type": String - "#text": Petition for Winding Up - HEARING_DATE: - "@type": String - "#text": 15/12/2007 - ACTION_DATE: - "@type": String - "#text": 11/05/2007 - SUBJECT_NAME: - "@type": String - "#text": PROACTIVE BUILDERS - PLA_SOLICITOR: - "@type": String - "#text": "-" - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - properties: - CASE_CODE : - type: string - description: Case Code - example: 40000 - CASE_YEAR : - type: string - description: Case Year - example: 1999 - PLAINTIFF : - type: string - description: Plaintiff Name - example: - PLA_SOLICITOR_ID : - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF : - type: string - description: Pla. File Ref. - example: - PLA_LAW_FIRM : - type: string - description: Pla. Law Firm - example: NAME2 - SUBJECT_NAME : - type: string - description: Subject Name - example: PROACTIVE BUILDERS - COURT_CODE : - type: string - description: Court Code - example: CWU - CASE_TYPE : - type: string - description: Case Type - example: COMPANY WINDING UP PETITION - CURRENCY1 : - type: string - description: Currency 1 - example: SGD - AMOUNT1 : - type: string - description: Amount 1 - example: 41,424.52 - CURRENCY2 : - type: string - description: Currency 2 - example: MYR - AMOUNT2 : - type: string - description: Amount 2 - example: 0.00 - CURRENCY3 : - type: string - description: Currency 3 - example: - AMOUNT3 : - type: string - description: Amount 3 - example: 0.00 - ACTION_DATE : - type: string - description: Action Date - example: 11/05/2007 - BANKRUPTCY_ACT : - type: string - description: Act of Bankruptcy - example: Petition for Winding Up - HEARING_DATE : - type: string - description: Hearing Date - example: 15/12/2007 - PLA_SOLICITOR : - type: string - description: Pla. Solicitor - example: - LIST_LITIGATION : - type: array - description: |+ - List of Winding Up with following children: - [LITIGATION] - example: - LIST_LITIGATION: - "@className": com.technodex.ddp.report.bean.CommercialBizLitigationBean - LITIGATION: - SUBJECT_NAME: - "@type": String - "#text": SOON SOON SEAFOOD - NATURE_OF_CLAIM: - "@type": String - "#text": CONTRACT 3 - STATUS_DATE: - "@type": String - "#text": 01/05/2008 - CASE_NO: - "@type": String - "#text": MC 40001 / 1999 - DOC_REMARKS: - "@type": String - "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 - CURRENCY1: - "@type": String - "#text": SGD - CURRENCY2: - "@type": String - "#text": MYR - CURRENCY3: - "@type": String - "#text": USD - CURRENCY4: - "@type": String - "#text": "-" - CURRENCY5: - "@type": String - "#text": "-" - DEF_SOLICITOR: - "@type": String - "#text": SOL2 - DEF_SOLICITOR_ID: - "@type": String - "#text": '20000000' - DEF_LAW_FIRM: - "@type": String - "#text": NAME2 - DEF_FILE_REF: - "@type": String - "#text": FILE2 - DATE_OF_WRIT: - "@type": String - "#text": 01/01/2008 - STATUS: - "@type": String - "#text": CONCLUDED 3 - AMOUNT1: - "@type": String - "#text": '100.00' - AMOUNT2: - "@type": String - "#text": '200.00' - AMOUNT3: - "@type": String - "#text": '0.00' - AMOUNT4: - "@type": String - "#text": '400.00' - AMOUNT5: - "@type": String - "#text": '0.00' - PLAINTIFF: - "@type": String - "#text": MC 40001 - PLA_SOLICITOR: - "@type": String - "#text": SOL2 - PLA_SOLICITOR_ID: - "@type": String - "#text": '20000000' - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - PLA_FILE_REF: - "@type": String - "#text": FILE2 - PLA_ID: - "@type": String - "#text": S0739038F - PLA_STATUS: - "@type": String - "#text": SETTLED - BEFORE SET DOWN - PLA_STATUS_DATE: - "@type": String - "#text": 17/10/2016 - items: - properties: - LITIGATION : - type: object - description: |+ - List of Winding Up with following children: - SUBJECT_NAME - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - DOC_REMARK - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - DATE_OF_WRIT - STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - PLAINTIFF - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_LAW_FIRM - PLA_FILE_REF - PLA_ID - PLA_STATUS - PLA_STATUS_DATE - example: - LITIGATION: - SUBJECT_NAME: - "@type": String - "#text": SOON SOON SEAFOOD - NATURE_OF_CLAIM: - "@type": String - "#text": CONTRACT 3 - STATUS_DATE: - "@type": String - "#text": 01/05/2008 - CASE_NO: - "@type": String - "#text": MC 40001 / 1999 - DOC_REMARKS: - "@type": String - "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 - CURRENCY1: - "@type": String - "#text": SGD - CURRENCY2: - "@type": String - "#text": MYR - CURRENCY3: - "@type": String - "#text": USD - CURRENCY4: - "@type": String - "#text": "-" - CURRENCY5: - "@type": String - "#text": "-" - DEF_SOLICITOR: - "@type": String - "#text": SOL2 - DEF_SOLICITOR_ID: - "@type": String - "#text": '20000000' - DEF_LAW_FIRM: - "@type": String - "#text": NAME2 - DEF_FILE_REF: - "@type": String - "#text": FILE2 - DATE_OF_WRIT: - "@type": String - "#text": 01/01/2008 - STATUS: - "@type": String - "#text": CONCLUDED 3 - AMOUNT1: - "@type": String - "#text": '100.00' - AMOUNT2: - "@type": String - "#text": '200.00' - AMOUNT3: - "@type": String - "#text": '0.00' - AMOUNT4: - "@type": String - "#text": '400.00' - AMOUNT5: - "@type": String - "#text": '0.00' - PLAINTIFF: - "@type": String - "#text": MC 40001 - PLA_SOLICITOR: - "@type": String - "#text": SOL2 - PLA_SOLICITOR_ID: - "@type": String - "#text": '20000000' - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - PLA_FILE_REF: - "@type": String - "#text": FILE2 - PLA_ID: - "@type": String - "#text": S0739038F - PLA_STATUS: - "@type": String - "#text": SETTLED - BEFORE SET DOWN - PLA_STATUS_DATE: - "@type": String - "#text": 17/10/2016 - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: "SOON SOON SEAFOOD" - NATURE_OF_CLAIM : - type: string - example: "CONTRACT 3" - description: Nature of Claim - STATUS_DATE : - type: string - example: "01/05/2008" - description: Status Date - CASE_NO : - type: string - example: "MC 40001 / 1999" - description: Case No - DOC_REMARKS : - type: string - example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" - description: Document Remark - CURRENCY1 : - type: string - example: "SGD" - description: Currency 1 - CURRENCY2 : - type: string - example: "MYR" - description: Currency 2 - CURRENCY3 : - type: string - example: "USD" - description: Currency 3 - CURRENCY4 : - type: string - example: "-" - description: Currency 4 - CURRENCY5 : - type: string - example: "-" - description: Currency 5 - DEF_SOLICITOR : - type: string - example: "SOL2" - description: Def. Solicitor - DEF_SOLICITOR_ID : - type: string - example: "20000000" - description: Def. Solicitor ID - DEF_LAW_FIRM : - type: string - example: "NAME2" - description: Def. Law Firm - DEF_FILE_REF : - type: string - example: "FILE2" - description: Def. File Ref. - DATE_OF_WRIT : - type: string - example: "01/01/2008" - description: Date Writ - STATUS : - type: string - example: "CONCLUDED 3" - description: Status - AMOUNT1 : - type: string - example: "100.00" - description: Amount 1 - AMOUNT2 : - type: string - example: "200.00" - description: Amount 2 - AMOUNT3 : - type: string - example: "0.00" - description: Amount 3 - AMOUNT4 : - type: string - example: "400.00" - description: Amount 4 - AMOUNT5 : - type: string - example: "0.00" - description: Amount 5 - PLAINTIFF : - type: string - example: "MC 40001" - description: Plaintiff Name - PLA_SOLICITOR: - type: string - example: "SOL2" - description: plantiff Solicitor - PLA_SOLICITOR_ID: - type: string - example: "20000000" - description: plantiff Solicitor ID - PLA_LAW_FIRM : - type: string - example: "NAME2" - description: Pla. Law Firm - PLA_FILE_REF : - type: string - example: "FILE2" - description: Pla. File Ref. - PLA_ID: - type: string - example: "S0739038F" - description: Plaintiff ID - PLA_STATUS: - type: string - example: "SETTLED - BEFORE SET DOWN" - description: Plaintiff Status - PLA_STATUS_DATE : - type: string - example: "17/10/2016" - description: Plaintiff Status Date - LIST_SHARE_INTEREST_COMP : - type: array - description: |+ - List of Share Interest In Companies with following children: - [SHARE_INTEREST_COMP] - example: - LIST_SHARE_INTEREST_COMP: - "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean - SHARE_INTEREST_COMP: - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - items: - properties: - SHARE_INTEREST_COMP : - type: object - description: |+ - Share Interest In Companies details with following children: - COMP_NAME - SHARE_OWNED_UNIT - SHARE_OWNED_PERCENT - STATUS - example: - SHARE_INTEREST_COMP: - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - properties: - COMP_NAME : - type: string - description: Company Name - example: ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT : - type: string - description: Shares Owned Unit - example: 500000 - SHARE_OWNED_PERCENT : - type: string - description: Shares Owned Value (%) - example: 100.00 - STATUS : - type: string - description: Status - example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE : - type: array - description: |+ - List of Change of Company/Business Name(s) with following children: - [NAME_CHANGE] - example: - LIST_NAME_CHANGE: - "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean - NAME_CHANGE: - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - items: - properties: - NAME_CHANGE : - type: object - description: |+ - Change of Company/Business Name(s) with following children: - PREV_NAME - EFFECT_DATE - example: - NAME_CHANGE: - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - properties: - PREV_NAME : - type: string - description: Previous Name - example: HUA XI EATING HOUSE - EFFECT_DATE : - type: string - description: Effective Date - example: 25/10/1997 00:00:00 - LIST_SHAREHOLDER : - type: array - description: |+ - List of Shareholders with following children: - [SHAREHOLDER] - example: - LIST_SHAREHOLDER: - "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean - SHAREHOLDER: - ADDRESS: - "@type": String - "#text": |- - 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, - SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": |- - KEPPEL COMMUNICATIONS PTE - LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - items: - properties: - SHAREHOLDER : - type: object - description: |+ - Shareholders details with following children: - ADDRESS - COMP_ID - NO_OF_SHARE - CURRENCY - SHAREHOLDER_TYPE - SHARE_TYPE - SHAREHOLDER_NAME - CHANGE_ADDR_DATE - ADDR_TYPE - NATIONALITY - example: - SHAREHOLDER: - ADDRESS: - "@type": String - "#text": |- - 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, - SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": |- - KEPPEL COMMUNICATIONS PTE - LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - properties: - ADDRESS : - type: string - description: Address - example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID : - type: string - description: Company/ Identity No. - example: 198200406H - NO_OF_SHARE : - type: string - description: No. of Shares - example: 657 - CURRENCY : - type: string - description: Currency - example: UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE : - type: string - description: |+ - Indicator for Shareholder type. - Possible values are: - 1 Individual - 2 Company - 3 Unregistered foreign company - 4 Unregistered local company - example: 2 - SHARE_TYPE : - type: string - description: Share Type - example: Preference - SHAREHOLDER_NAME : - type: string - description: Shareholder Name - example: KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 09/05/2003 - ADDR_TYPE : - type: string - description: |+ - Address Type, indicates if it is Singapore or foreign address. - Possible values are: - S Indicates Singapore address - - Indicates foreign address - example: S - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE - LIST_CAPITAL : - type: array - description: |+ - List of Capital details with following children: - [CAPITAL] - example: - LIST_CAPITAL: - "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean - CAPITAL: - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - items: - properties: - CAPITAL : - type: object - description: |+ - Capital details with following children: - CAPITAL_CATEGORY - CAPITAL_TYPE - CURRENCY - CAPITAL_AMT - NO_OF_SHARES - example: - CAPITAL: - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - properties: - CAPITAL_CATEGORY : - type: string - description: Capital Category - example: Issued - CAPITAL_TYPE : - type: string - description: Capital Type - example: Ordinary - CURRENCY : - type: string - description: Currency - example: SINGAPORE, DOLLARS - CAPITAL_AMT : - type: string - description: Capital Amount - example: 100,000.00 - NO_OF_SHARES : - type: string - description: Nos. of Shares - example: 100,000 - LIST_OFFICER_OWNER : - type: array - description: |+ - List of Officer(s) / Owner(s) with following children: - [OFFICER_OWNER] - example: - LIST_OFFICER_OWNER: - "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean - OFFICER_OWNER: - ADDRESS: - "@type": String - "#text": |- - 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, - SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - items: - properties: - OFFICER_OWNER : - type: object - description: |+ - Officer(s) / Owner(s) details with following children: - ADDRESS - IDENTITY_ID - PA_REG_NO - POSITION - ADDR_TYPE - CESSATION_DATE - OFFICER_NAME - CHANGE_ADDR_DATE - APPMT_DATE - NATIONALITY - example: - OFFICER_OWNER: - ADDRESS: - "@type": String - "#text": |- - 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, - SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - properties: - ADDRESS : - type: string - description: Address - example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE - IDENTITY_ID : - type: string - description: Identity No. - example: S1674174D - PA_REG_NO : - type: string - description: Public Accountant Registration No. - example: 00091 - POSITION : - type: string - description: Position - example: DIRECTOR - ADDR_TYPE : - type: string - description: |+ - Address Type, indicates if it is Singapore or foreign address. - Possible values are: - S Indicates Singapore address - - Indicates foreign address - example: S - CESSATION_DATE : - type: string - description: Cessation Date - example: 30/10/2003 - OFFICER_NAME : - type: string - description: Officer Name - example: HENRY GOH - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 30/10/2003 - APPMT_DATE : - type: string - description: Appointment Date - example: 30/10/2003 - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT : - type: array - description: |+ - List of Sales Revenue Amount with following children: - [SALES_REVENUE_AMOUNT] - example: - LIST_SALES_REVENUE_AMOUNT: - SALES_REVENUE_AMOUNT: - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - items: - properties: - SALES_REVENUE_AMOUNT : - type: object - description: |+ - Sales Revenue Amount details with following children: - ELEMENTS - YEAR - CURRENCY - AMOUNT - example: - SALES_REVENUE_AMOUNT: - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - properties: - ELEMENTS : - type: string - description: Description - example: Sales Revenue Amount - YEAR : - type: string - description: Year - example: 2008 - CURRENCY : - type: string - description: Currency - example: SGD - AMOUNT : - type: string - description: Amount. Amount values that higher than 1000 have a comma to delimit every 3 digits of the amount value. - example: 30000.00 - LIST_Ddrptcount : - type: array - description: |+ - List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: - [Ddrptcount] - example: - items: - properties: - Ddrptcount : - type: object - description: |+ - 6 XML tags (open then close) displays - Search By Financial Sectors (counts for 3 recent years) - Search By Non- Financial Sectors (counts for 3 recent years) - Following children are: - Rcyear - RcFlag (only respond for the year exists) - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) - Rcsecflag - LastUpdateDate (only respond for the year exists) - example: - properties: - Rcyear : - type: string - description: To show the year - example: 2017 - RcFlag : - type: string - description: Internal database value - example: N/A - Rcjan : - type: integer - description: Count for January - example: 1 - Rcfeb : - type: integer - description: Count for February - example: 1 - Rcmar : - type: integer - description: Count for March - example: 1 - Rcapr : - type: integer - description: Count for April - example: 1 - Rcmay : - type: integer - description: Count for May - example: 1 - Rcjun : - type: integer - description: Count for June - example: 1 - Rcjul : - type: integer - description: Count for July - example: 1 - Rcaug : - type: integer - description: Count for August - example: 1 - Rcsep : - type: integer - description: Count for September - example: 1 - Rcoct : - type: integer - description: Count for October - example: 1 - Rcnov : - type: integer - description: Count for November - example: 1 - Rcdec : - type: integer - description: Count for December - example: 1 - Rcid : - type: string - description: |+ - Internal database value, respond value from table Primary Key ID - It is for (For internal use) - example: N/A - Rcreg : - type: string - description: Company Registration Number - example: - Rcrptyid : - type: string - description: |+ - Product Type. Possible values are: - 1. Biz Check: 0001 - 2. Biz Check Plus: 0002 - example: 0001 - Rcsecflag : - type: integer - description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: 1 - LastUpdateDate : - type: datetime - description: Last update date - example: YYYY-MM-DD 00:00:00.0 - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: - total_items: - type: integer - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - subject_idno: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - subject_name: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json Format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: D&B Business Check Plus (SG) + description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace (winding up records) of a company which includes the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships. + - Aside from being able to protect your business via litigation checks to safeguard against reputational risk by avoiding companies potentially involved in financial crimes, the information from this microservice can serve as a quick solution for analysts or lawyers in a company whom are looking to draft documents related to cooperate finance or legal domains with one quick search. + version: '1.0.0' + x-subscribelink: d&b_business_check_plus_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides key business information, litigation information and and Winding Up Trace of a company. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 15, 2021" +paths: + /microservices/data/sbcp/v1/getdata: + post: + tags: + - v1.0.0 + summary: Adds a new user + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + REPORT: + META_INFO: + SERVICE: + "@type": String + "#text": BCP + SYSTEM_ID: + "@type": String + "#text": DDP + CREATION_DATE: + "@type": Date + "#text": Wed Apr 08 11:37:51 MYT 2009 + USER_ID: + "@type": String + CLASS: + "@type": String + "#text": class com.technodex.ddp.xmlbean.MetaBean + REGISTRY_DETAIL: + "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean + RENEWAL_DATE: + "@type": String + "#text": 23/12/2008 + ADDRESS1: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01 + ADDRESS2: + "@type": String + "#text": KEPPEL BAY TOWER + ADDRESS3: + "@type": String + "#text": '098632' + ADDRESS4: + "@type": String + "#text": SINGAPORE + COMP_TYPE_CODE: + "@type": String + "#text": CP + REG_DATE: + "@type": String + "#text": 14/10/1974 + REG_ACTIVITY1: + "@type": String + "#text": OTHER INVESTMENT HOLDING COMPANIES + REG_ACTIVITY2: + "@type": String + "#text": SHIP MANAGEMENT SERVICES + ACC_DATE: + "@type": String + "#text": 31/12/2007 + STATUS_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + NAME_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + EXPIRY_DATE: + "@type": String + "#text": 25/10/2009 + COMP_TYPE: + "@type": String + "#text": LIMITED PRIVATE COMPANY + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + COMP_STATUS: + "@type": String + "#text": Live Company + REG_ACTIVITY_DESC1: + "@type": String + "#text": "-" + REG_ACTIVITY_DESC2: + "@type": String + "#text": "-" + AUDITOR: + "@type": String + "#text": "-" + AUDITOR_APPMT_DATE: + "@type": String + "#text": 13/06/1990 + LAST_AR_DATE: + "@type": String + "#text": 30/06/2008 + LAST_AGM_DATE: + "@type": String + "#text": 11/06/2008 + COUNTRY_INCORP: + "@type": String + "#text": SINGAPORE + REQ_SEARCH_INFO: + "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean + COMP_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REG_NO: + "@type": String + "#text": 197401835M + REQ_DATE: + "@type": Date + "#text": '2009-04-08 11:36:03.611' + REQ_REG_NO: + "@type": String + "#text": 197401835M + REQ_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REQ_DATE_STR: + "@type": String + "#text": '08/04/2009 11:36:03' + EMPLOYEE_SIZE: + ELEMENTS: Employee Size + AMOUNT: '300' + LIST_BIZ_BRANCH: + "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + LIST_REG_CHARGES: + "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean + REG_CHARGES: + - CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '1000.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + - CHARGE_NO: + "@type": String + "#text": '8000976' + CHARGE_DATE: + "@type": String + "#text": 21/04/1980 + CHARGEE_COMP: + "@type": String + "#text": THE DEVELOPMENT BANK OF SINGAPORE LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": All Monies + STATUS_SATISFACTION: + "@type": String + "#text": "-" + LIST_LIQUIDATOR: + LIQUIDATOR: + - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + - LIQ_NAME: ANGELA ANG + LIQ_ID: S1633336D + LIQ_POSITION: Liquidator + LIQ_COMP: KING FINANCIAL ADVISORY SERVICES + LIQ_ADDRESS1: LEVEL 17 MLC CENTRE 19029 + LIQ_ADDRESS2: MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA + LIQ_APPOINTMENT_DATE: 18/02/2009 + LIST_WINDING_UP: + "@className": com.technodex.ddp.report.bean.CommercialBizWindingupBean + WINDING_UP: + CASE_CODE: + "@type": String + "#text": '40000' + CASE_YEAR: + "@type": String + "#text": '1999' + PLAINTIFF: + "@type": String + "#text": "-" + PLA_SOLICITOR_ID: + "@type": String + "#text": "-" + PLA_FILE_REF: + "@type": String + "#text": "-" + COURT_CODE: + "@type": String + "#text": CWU + CASE_TYPE: + "@type": String + "#text": COMPANY WINDING UP PETITION + CURRENCY1: + "@type": String + "#text": SGD + AMOUNT1: + "@type": String + "#text": '41,424.52' + CURRENCY2: + "@type": String + "#text": MYR + AMOUNT2: + "@type": String + "#text": '0.00' + CURRENCY3: + "@type": String + "#text": "-" + AMOUNT3: + "@type": String + "#text": '0.00' + BANKRUPTCY_ACT: + "@type": String + "#text": Petition for Winding Up + HEARING_DATE: + "@type": String + "#text": 15/12/2007 + ACTION_DATE: + "@type": String + "#text": 11/05/2007 + SUBJECT_NAME: + "@type": String + "#text": PROACTIVE BUILDERS + PLA_SOLICITOR: + "@type": String + "#text": "-" + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + LIST_LITIGATION: + "@className": com.technodex.ddp.report.bean.CommercialBizLitigationBean + LITIGATION: + SUBJECT_NAME: + "@type": String + "#text": SOON SOON SEAFOOD + NATURE_OF_CLAIM: + "@type": String + "#text": CONTRACT 3 + STATUS_DATE: + "@type": String + "#text": 01/05/2008 + CASE_NO: + "@type": String + "#text": MC 40001 / 1999 + DOC_REMARKS: + "@type": String + "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 + CURRENCY1: + "@type": String + "#text": SGD + CURRENCY2: + "@type": String + "#text": MYR + CURRENCY3: + "@type": String + "#text": USD + CURRENCY4: + "@type": String + "#text": "-" + CURRENCY5: + "@type": String + "#text": "-" + DEF_SOLICITOR: + "@type": String + "#text": SOL2 + DEF_SOLICITOR_ID: + "@type": String + "#text": '20000000' + DEF_LAW_FIRM: + "@type": String + "#text": NAME2 + DEF_FILE_REF: + "@type": String + "#text": FILE2 + DATE_OF_WRIT: + "@type": String + "#text": 01/01/2008 + STATUS: + "@type": String + "#text": CONCLUDED 3 + AMOUNT1: + "@type": String + "#text": '100.00' + AMOUNT2: + "@type": String + "#text": '200.00' + AMOUNT3: + "@type": String + "#text": '0.00' + AMOUNT4: + "@type": String + "#text": '400.00' + AMOUNT5: + "@type": String + "#text": '0.00' + PLAINTIFF: + "@type": String + "#text": MC 40001 + PLA_SOLICITOR: + "@type": String + "#text": SOL2 + PLA_SOLICITOR_ID: + "@type": String + "#text": '20000000' + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + PLA_FILE_REF: + "@type": String + "#text": FILE2 + PLA_ID: + "@type": String + "#text": S0739038F + PLA_STATUS: + "@type": String + "#text": SETTLED - BEFORE SET DOWN + PLA_STATUS_DATE: + "@type": String + "#text": 17/10/2016 + LIST_SHARE_INTEREST_COMP: + "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean + SHARE_INTEREST_COMP: + - COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + - COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '436' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE: + "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean + NAME_CHANGE: + - PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + - PREV_NAME: + "@type": String + "#text": SOON-SOON FISH-HEAD CURRY + EFFECT_DATE: + "@type": String + "#text": 10/06/1991 00:00:00 + LIST_SHAREHOLDER: + "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean + SHAREHOLDER: + - ADDRESS: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01; KEPPEL BAY TOWER; 098632,SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + - ADDRESS: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID: + "@type": String + "#text": 196500115G + NO_OF_SHARE: + "@type": String + "#text": '100,000' + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Ordinary + SHAREHOLDER_NAME: + "@type": String + "#text": KEPPEL TELECOMMUNICATIONS & TRANSPORTATION LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + LIST_CAPITAL: + "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean + CAPITAL: + - CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + - CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Preference + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '14,600,511.00' + NO_OF_SHARES: + "@type": String + "#text": '657' + LIST_OFFICER_OWNER: + "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean + OFFICER_OWNER: + - ADDRESS: + "@type": String + "#text": 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742,SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + - ADDRESS: + "@type": String + "#text": 52 HUME AVENUE, 05 - 10 ; SUMMERHILL; 596230, SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S2504825C + PA_REG_NO: + "@type": String + "#text": '00091' + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": HENRY GOH + CHANGE_ADDR_DATE: + "@type": String + "#text": 30/10/2003 + APPMT_DATE: + "@type": String + "#text": 07/03/2006 + NATIONALITY: + "@type": String + "#text": SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT: + SALES_REVENUE_AMOUNT: + - ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + - ELEMENTS: Sales Revenue Amount + YEAR: '2007' + CURRENCY: SGD + AMOUNT: '28000.00' + - ELEMENTS: Sales Revenue Amount + YEAR: '2006' + CURRENCY: SGD + AMOUNT: '27,000.00' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_WINDING_UP] + [LIST_LITIGATION] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] + properties: + META_INFO: + type: object + example: + META_INFO: + SERVICE: + "@type": String + "#text": BCP + SYSTEM_ID: + "@type": String + "#text": DDP + CREATION_DATE: + "@type": Date + "#text": Wed Apr 08 11:37:51 MYT 2009 + USER_ID: + "@type": String + CLASS: + "@type": String + "#text": class com.technodex.ddp.xmlbean.MetaBean + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS + properties: + SERVICE: + type: string + description: Report requested + example: "BCP" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: datetime + description: Report request date + example: Wed Apr 08 11:37:51 MYT 2009 + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + CLASS: + type: string + description: Class location for metabean. It is for (For internal use) + example: N/A + REGISTRY_DETAIL : + type: object + example: + REGISTRY_DETAIL: + "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean + RENEWAL_DATE: + "@type": String + "#text": 23/12/2008 + ADDRESS1: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01 + ADDRESS2: + "@type": String + "#text": KEPPEL BAY TOWER + ADDRESS3: + "@type": String + "#text": '098632' + ADDRESS4: + "@type": String + "#text": SINGAPORE + COMP_TYPE_CODE: + "@type": String + "#text": CP + REG_DATE: + "@type": String + "#text": 14/10/1974 + REG_ACTIVITY1: + "@type": String + "#text": OTHER INVESTMENT HOLDING COMPANIES + REG_ACTIVITY2: + "@type": String + "#text": SHIP MANAGEMENT SERVICES + ACC_DATE: + "@type": String + "#text": 31/12/2007 + STATUS_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + NAME_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + EXPIRY_DATE: + "@type": String + "#text": 25/10/2009 + COMP_TYPE: + "@type": String + "#text": LIMITED PRIVATE COMPANY + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + COMP_STATUS: + "@type": String + "#text": Live Company + REG_ACTIVITY_DESC1: + "@type": String + "#text": "-" + REG_ACTIVITY_DESC2: + "@type": String + "#text": "-" + AUDITOR: + "@type": String + "#text": "-" + AUDITOR_APPMT_DATE: + "@type": String + "#text": 13/06/1990 + LAST_AR_DATE: + "@type": String + "#text": 30/06/2008 + LAST_AGM_DATE: + "@type": String + "#text": 11/06/2008 + COUNTRY_INCORP: + "@type": String + "#text": SINGAPORE + description: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP + properties: + RENEWAL_DATE: + type: string + description: Renewal Date + example: "23/12/2008" + ADDRESS1: + type: string + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" + ADDRESS2: + type: string + description: Address Line 2 + example: "KEPPEL BAY TOWER" + ADDRESS3: + type: string + description: Address Line 3 + example: "098632" + ADDRESS4: + type: string + description: Address Line 4 + example: "SINGAPORE" + COMP_TYPE_CODE: + type: string + example: CP + description: |+ + Report Code. Available values are: + 1. CP Corporate + 2. SP Sole Proprietor + REG_DATE: + type: string + description: Registration Date + example: "14/10/1974" + REG_ACTIVITY1: + type: string + description: Registered Activities 1 + example: "OTHER INVESTMENT HOLDING COMPANIES" + REG_ACTIVITY2: + type: string + description: Registered Activities 2 + example: "SHIP MANAGEMENT SERVICES" + ACC_DATE: + type: string + description: Account Date + example: "31/12/2007" + STATUS_EFFECT_DATE: + type: string + description: Status Effective Date + example: "14/10/1974" + NAME_EFFECT_DATE: + type: string + description: Name Effective Date + example: "14/10/1974" + EXPIRY_DATE: + type: string + description: Expiry Date + example: "25/10/2009" + COMP_TYPE: + type: string + description: Company Type + example: "LIMITED PRIVATE COMPANY" + CHANGE_ADDR_DATE: + type: string + description: Change Address Date + example: "09/05/2003" + COMP_STATUS: + type: string + description: Company Status + example: "Live Company" + REG_ACTIVITY_DESC1: + type: string + description: Registered Activities Description + example: + REG_ACTIVITY_DESC2: + type: string + description: Registered Activities Description + example: + AUDITOR: + type: string + description: Auditor Name + example: + AUDITOR_APPMT_DATE: + type: string + description: Auditor Appointment Date + example: "13/06/1990" + LAST_AR_DATE: + type: string + description: Date of Last AR + example: "30/06/2008" + LAST_AGM_DATE: + type: string + description: Date of Last AGM + example: "11/06/2008" + COUNTRY_INCORP: + type: string + description: Country Incorporated + example: "SINGAPORE" + REQ_SEARCH_INFO : + type: object + example: + REQ_SEARCH_INFO: + "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean + COMP_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REG_NO: + "@type": String + "#text": 197401835M + REQ_DATE: + "@type": Date + "#text": '2009-04-08 11:36:03.611' + REQ_REG_NO: + "@type": String + "#text": 197401835M + REQ_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REQ_DATE_STR: + "@type": String + "#text": '08/04/2009 11:36:03' + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REG_NO: + type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "197401835M" + REQ_DATE: + type: datetime + description: Report Requested Date + example: 2009-04-08 11:36:03.611 + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197401835M" + REQ_NAME: + type: string + description: Request Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REQ_DATE_STR: + type: string + description: Request Date String + example: "08/04/2009 11:36:03" + EMPLOYEE_SIZE : + type: object + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: + EMPLOYEE_SIZE: + ELEMENTS: Employee Size + AMOUNT: '300' + properties: + ELEMENTS: + type: string + description: Description + example: "Employee Size" + AMOUNT: + type: integer + description: Number of employee + example: 300 + LIST_BIZ_BRANCH : + type: array + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: + LIST_BIZ_BRANCH: + "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + items: + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD + LIST_REG_CHARGES: + type: array + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: + LIST_REG_CHARGES: + "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean + REG_CHARGES: + CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '1000.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + items: + properties: + REG_CHARGES : + type: object + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: + REG_CHARGES: + CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '1000.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + properties: + CHARGE_NO : + type: string + description: Charge No. + example: 8205117 + CHARGE_DATE: + type: string + description: Charge Date + example: 26/11/1982 + CHARGEE_COMP: + type: string + description: Charges Company + example: UNITED OVERSEAS BANK LIMITED + CURRENCY: + type: string + description: Currency + example: + AMT_SECURED: + type: string + description: Amount Secured + example: 1000.00 + STATUS_SATISFACTION: + type: string + description: Status of Satisfaction + example: + LIST_LIQUIDATOR: + type: array + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: + LIST_LIQUIDATOR: + LIQUIDATOR: + LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + items: + properties: + LIQUIDATOR : + type: object + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE + example: + LIQUIDATOR: + LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + properties: + LIQ_POSITION: + type: string + description: Liquidator / Receiver / Judicial Manager Position + example: Liquidator + LIQ_ID: + type: string + description: Liquidator / Receiver / Judicial Manager ID + example: S1676216D + LIQ_NAME : + type: string + description: Liquidator / Receiver / Judicial Manager Name + example: ABUTHAHIR ABDUL GAFOOR + LIQ_COMP: + type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: + type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: 1 RAFFLES PLACE + LIQ_ADDRESS2: + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: #20-01 + LIQ_ADDRESS3: + type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: OUB CENTRE + LIQ_ADDRESS4: + type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: 30/03/2009 + LIST_WINDING_UP : + type: array + description: |+ + List of Winding Up with following children: + [WINDING_UP] + example: + LIST_WINDING_UP: + "@className": com.technodex.ddp.report.bean.CommercialBizWindingupBean + WINDING_UP: + CASE_CODE: + "@type": String + "#text": '40000' + CASE_YEAR: + "@type": String + "#text": '1999' + PLAINTIFF: + "@type": String + "#text": "-" + PLA_SOLICITOR_ID: + "@type": String + "#text": "-" + PLA_FILE_REF: + "@type": String + "#text": "-" + COURT_CODE: + "@type": String + "#text": CWU + CASE_TYPE: + "@type": String + "#text": COMPANY WINDING UP PETITION + CURRENCY1: + "@type": String + "#text": SGD + AMOUNT1: + "@type": String + "#text": '41,424.52' + CURRENCY2: + "@type": String + "#text": MYR + AMOUNT2: + "@type": String + "#text": '0.00' + CURRENCY3: + "@type": String + "#text": "-" + AMOUNT3: + "@type": String + "#text": '0.00' + BANKRUPTCY_ACT: + "@type": String + "#text": Petition for Winding Up + HEARING_DATE: + "@type": String + "#text": 15/12/2007 + ACTION_DATE: + "@type": String + "#text": 11/05/2007 + SUBJECT_NAME: + "@type": String + "#text": PROACTIVE BUILDERS + PLA_SOLICITOR: + "@type": String + "#text": "-" + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + items: + properties: + WINDING_UP : + type: object + description: |+ + Winding Up details with following children: + CASE_CODE + CASE_YEAR + PLAINTIFF + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_LAW_FIRM + SUBJECT_NAME + COURT_CODE + CASE_TYPE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + PLA_SOLICITOR + example: + WINDING_UP: + CASE_CODE: + "@type": String + "#text": '40000' + CASE_YEAR: + "@type": String + "#text": '1999' + PLAINTIFF: + "@type": String + "#text": "-" + PLA_SOLICITOR_ID: + "@type": String + "#text": "-" + PLA_FILE_REF: + "@type": String + "#text": "-" + COURT_CODE: + "@type": String + "#text": CWU + CASE_TYPE: + "@type": String + "#text": COMPANY WINDING UP PETITION + CURRENCY1: + "@type": String + "#text": SGD + AMOUNT1: + "@type": String + "#text": '41,424.52' + CURRENCY2: + "@type": String + "#text": MYR + AMOUNT2: + "@type": String + "#text": '0.00' + CURRENCY3: + "@type": String + "#text": "-" + AMOUNT3: + "@type": String + "#text": '0.00' + BANKRUPTCY_ACT: + "@type": String + "#text": Petition for Winding Up + HEARING_DATE: + "@type": String + "#text": 15/12/2007 + ACTION_DATE: + "@type": String + "#text": 11/05/2007 + SUBJECT_NAME: + "@type": String + "#text": PROACTIVE BUILDERS + PLA_SOLICITOR: + "@type": String + "#text": "-" + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + properties: + CASE_CODE : + type: string + description: Case Code + example: 40000 + CASE_YEAR : + type: string + description: Case Year + example: 1999 + PLAINTIFF : + type: string + description: Plaintiff Name + example: + PLA_SOLICITOR_ID : + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF : + type: string + description: Pla. File Ref. + example: + PLA_LAW_FIRM : + type: string + description: Pla. Law Firm + example: NAME2 + SUBJECT_NAME : + type: string + description: Subject Name + example: PROACTIVE BUILDERS + COURT_CODE : + type: string + description: Court Code + example: CWU + CASE_TYPE : + type: string + description: Case Type + example: COMPANY WINDING UP PETITION + CURRENCY1 : + type: string + description: Currency 1 + example: SGD + AMOUNT1 : + type: string + description: Amount 1 + example: 41,424.52 + CURRENCY2 : + type: string + description: Currency 2 + example: MYR + AMOUNT2 : + type: string + description: Amount 2 + example: 0.00 + CURRENCY3 : + type: string + description: Currency 3 + example: + AMOUNT3 : + type: string + description: Amount 3 + example: 0.00 + ACTION_DATE : + type: string + description: Action Date + example: 11/05/2007 + BANKRUPTCY_ACT : + type: string + description: Act of Bankruptcy + example: Petition for Winding Up + HEARING_DATE : + type: string + description: Hearing Date + example: 15/12/2007 + PLA_SOLICITOR : + type: string + description: Pla. Solicitor + example: + LIST_LITIGATION : + type: array + description: |+ + List of Winding Up with following children: + [LITIGATION] + example: + LIST_LITIGATION: + "@className": com.technodex.ddp.report.bean.CommercialBizLitigationBean + LITIGATION: + SUBJECT_NAME: + "@type": String + "#text": SOON SOON SEAFOOD + NATURE_OF_CLAIM: + "@type": String + "#text": CONTRACT 3 + STATUS_DATE: + "@type": String + "#text": 01/05/2008 + CASE_NO: + "@type": String + "#text": MC 40001 / 1999 + DOC_REMARKS: + "@type": String + "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 + CURRENCY1: + "@type": String + "#text": SGD + CURRENCY2: + "@type": String + "#text": MYR + CURRENCY3: + "@type": String + "#text": USD + CURRENCY4: + "@type": String + "#text": "-" + CURRENCY5: + "@type": String + "#text": "-" + DEF_SOLICITOR: + "@type": String + "#text": SOL2 + DEF_SOLICITOR_ID: + "@type": String + "#text": '20000000' + DEF_LAW_FIRM: + "@type": String + "#text": NAME2 + DEF_FILE_REF: + "@type": String + "#text": FILE2 + DATE_OF_WRIT: + "@type": String + "#text": 01/01/2008 + STATUS: + "@type": String + "#text": CONCLUDED 3 + AMOUNT1: + "@type": String + "#text": '100.00' + AMOUNT2: + "@type": String + "#text": '200.00' + AMOUNT3: + "@type": String + "#text": '0.00' + AMOUNT4: + "@type": String + "#text": '400.00' + AMOUNT5: + "@type": String + "#text": '0.00' + PLAINTIFF: + "@type": String + "#text": MC 40001 + PLA_SOLICITOR: + "@type": String + "#text": SOL2 + PLA_SOLICITOR_ID: + "@type": String + "#text": '20000000' + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + PLA_FILE_REF: + "@type": String + "#text": FILE2 + PLA_ID: + "@type": String + "#text": S0739038F + PLA_STATUS: + "@type": String + "#text": SETTLED - BEFORE SET DOWN + PLA_STATUS_DATE: + "@type": String + "#text": 17/10/2016 + items: + properties: + LITIGATION : + type: object + description: |+ + List of Winding Up with following children: + SUBJECT_NAME + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + DOC_REMARK + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + DATE_OF_WRIT + STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + PLAINTIFF + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_LAW_FIRM + PLA_FILE_REF + PLA_ID + PLA_STATUS + PLA_STATUS_DATE + example: + LITIGATION: + SUBJECT_NAME: + "@type": String + "#text": SOON SOON SEAFOOD + NATURE_OF_CLAIM: + "@type": String + "#text": CONTRACT 3 + STATUS_DATE: + "@type": String + "#text": 01/05/2008 + CASE_NO: + "@type": String + "#text": MC 40001 / 1999 + DOC_REMARKS: + "@type": String + "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 + CURRENCY1: + "@type": String + "#text": SGD + CURRENCY2: + "@type": String + "#text": MYR + CURRENCY3: + "@type": String + "#text": USD + CURRENCY4: + "@type": String + "#text": "-" + CURRENCY5: + "@type": String + "#text": "-" + DEF_SOLICITOR: + "@type": String + "#text": SOL2 + DEF_SOLICITOR_ID: + "@type": String + "#text": '20000000' + DEF_LAW_FIRM: + "@type": String + "#text": NAME2 + DEF_FILE_REF: + "@type": String + "#text": FILE2 + DATE_OF_WRIT: + "@type": String + "#text": 01/01/2008 + STATUS: + "@type": String + "#text": CONCLUDED 3 + AMOUNT1: + "@type": String + "#text": '100.00' + AMOUNT2: + "@type": String + "#text": '200.00' + AMOUNT3: + "@type": String + "#text": '0.00' + AMOUNT4: + "@type": String + "#text": '400.00' + AMOUNT5: + "@type": String + "#text": '0.00' + PLAINTIFF: + "@type": String + "#text": MC 40001 + PLA_SOLICITOR: + "@type": String + "#text": SOL2 + PLA_SOLICITOR_ID: + "@type": String + "#text": '20000000' + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + PLA_FILE_REF: + "@type": String + "#text": FILE2 + PLA_ID: + "@type": String + "#text": S0739038F + PLA_STATUS: + "@type": String + "#text": SETTLED - BEFORE SET DOWN + PLA_STATUS_DATE: + "@type": String + "#text": 17/10/2016 + properties: + SUBJECT_NAME : + type: string + description: Subject Name + example: "SOON SOON SEAFOOD" + NATURE_OF_CLAIM : + type: string + example: "CONTRACT 3" + description: Nature of Claim + STATUS_DATE : + type: string + example: "01/05/2008" + description: Status Date + CASE_NO : + type: string + example: "MC 40001 / 1999" + description: Case No + DOC_REMARKS : + type: string + example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" + description: Document Remark + CURRENCY1 : + type: string + example: "SGD" + description: Currency 1 + CURRENCY2 : + type: string + example: "MYR" + description: Currency 2 + CURRENCY3 : + type: string + example: "USD" + description: Currency 3 + CURRENCY4 : + type: string + example: "-" + description: Currency 4 + CURRENCY5 : + type: string + example: "-" + description: Currency 5 + DEF_SOLICITOR : + type: string + example: "SOL2" + description: Def. Solicitor + DEF_SOLICITOR_ID : + type: string + example: "20000000" + description: Def. Solicitor ID + DEF_LAW_FIRM : + type: string + example: "NAME2" + description: Def. Law Firm + DEF_FILE_REF : + type: string + example: "FILE2" + description: Def. File Ref. + DATE_OF_WRIT : + type: string + example: "01/01/2008" + description: Date Writ + STATUS : + type: string + example: "CONCLUDED 3" + description: Status + AMOUNT1 : + type: string + example: "100.00" + description: Amount 1 + AMOUNT2 : + type: string + example: "200.00" + description: Amount 2 + AMOUNT3 : + type: string + example: "0.00" + description: Amount 3 + AMOUNT4 : + type: string + example: "400.00" + description: Amount 4 + AMOUNT5 : + type: string + example: "0.00" + description: Amount 5 + PLAINTIFF : + type: string + example: "MC 40001" + description: Plaintiff Name + PLA_SOLICITOR: + type: string + example: "SOL2" + description: plantiff Solicitor + PLA_SOLICITOR_ID: + type: string + example: "20000000" + description: plantiff Solicitor ID + PLA_LAW_FIRM : + type: string + example: "NAME2" + description: Pla. Law Firm + PLA_FILE_REF : + type: string + example: "FILE2" + description: Pla. File Ref. + PLA_ID: + type: string + example: "S0739038F" + description: Plaintiff ID + PLA_STATUS: + type: string + example: "SETTLED - BEFORE SET DOWN" + description: Plaintiff Status + PLA_STATUS_DATE : + type: string + example: "17/10/2016" + description: Plaintiff Status Date + LIST_SHARE_INTEREST_COMP : + type: array + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: + LIST_SHARE_INTEREST_COMP: + "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean + SHARE_INTEREST_COMP: + COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: + SHARE_INTEREST_COMP: + COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + properties: + COMP_NAME : + type: string + description: Company Name + example: ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: 500000 + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: 100.00 + STATUS : + type: string + description: Status + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: + LIST_NAME_CHANGE: + "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean + NAME_CHANGE: + PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: + NAME_CHANGE: + PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + properties: + PREV_NAME : + type: string + description: Previous Name + example: HUA XI EATING HOUSE + EFFECT_DATE : + type: string + description: Effective Date + example: 25/10/1997 00:00:00 + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: + LIST_SHAREHOLDER: + "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean + SHAREHOLDER: + ADDRESS: + "@type": String + "#text": |- + 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, + SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": |- + KEPPEL COMMUNICATIONS PTE + LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + items: + properties: + SHAREHOLDER : + type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: + SHAREHOLDER: + ADDRESS: + "@type": String + "#text": |- + 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, + SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": |- + KEPPEL COMMUNICATIONS PTE + LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + properties: + ADDRESS : + type: string + description: Address + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID : + type: string + description: Company/ Identity No. + example: 198200406H + NO_OF_SHARE : + type: string + description: No. of Shares + example: 657 + CURRENCY : + type: string + description: Currency + example: UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE : + type: string + description: |+ + Indicator for Shareholder type. + Possible values are: + 1 Individual + 2 Company + 3 Unregistered foreign company + 4 Unregistered local company + example: 2 + SHARE_TYPE : + type: string + description: Share Type + example: Preference + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 09/05/2003 + ADDR_TYPE : + type: string + description: |+ + Address Type, indicates if it is Singapore or foreign address. + Possible values are: + S Indicates Singapore address + - Indicates foreign address + example: S + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: + LIST_CAPITAL: + "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean + CAPITAL: + CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: + CAPITAL: + CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: Issued + CAPITAL_TYPE : + type: string + description: Capital Type + example: Ordinary + CURRENCY : + type: string + description: Currency + example: SINGAPORE, DOLLARS + CAPITAL_AMT : + type: string + description: Capital Amount + example: 100,000.00 + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: 100,000 + LIST_OFFICER_OWNER : + type: array + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: + LIST_OFFICER_OWNER: + "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean + OFFICER_OWNER: + ADDRESS: + "@type": String + "#text": |- + 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, + SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + items: + properties: + OFFICER_OWNER : + type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: + OFFICER_OWNER: + ADDRESS: + "@type": String + "#text": |- + 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, + SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + properties: + ADDRESS : + type: string + description: Address + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE + IDENTITY_ID : + type: string + description: Identity No. + example: S1674174D + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: 00091 + POSITION : + type: string + description: Position + example: DIRECTOR + ADDR_TYPE : + type: string + description: |+ + Address Type, indicates if it is Singapore or foreign address. + Possible values are: + S Indicates Singapore address + - Indicates foreign address + example: S + CESSATION_DATE : + type: string + description: Cessation Date + example: 30/10/2003 + OFFICER_NAME : + type: string + description: Officer Name + example: HENRY GOH + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 30/10/2003 + APPMT_DATE : + type: string + description: Appointment Date + example: 30/10/2003 + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: + LIST_SALES_REVENUE_AMOUNT: + SALES_REVENUE_AMOUNT: + ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: + SALES_REVENUE_AMOUNT: + ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + properties: + ELEMENTS : + type: string + description: Description + example: Sales Revenue Amount + YEAR : + type: string + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: string + description: Amount. Amount values that higher than 1000 have a comma to delimit every 3 digits of the amount value. + example: 30000.00 + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: integer + description: Count for January + example: 1 + Rcfeb : + type: integer + description: Count for February + example: 1 + Rcmar : + type: integer + description: Count for March + example: 1 + Rcapr : + type: integer + description: Count for April + example: 1 + Rcmay : + type: integer + description: Count for May + example: 1 + Rcjun : + type: integer + description: Count for June + example: 1 + Rcjul : + type: integer + description: Count for July + example: 1 + Rcaug : + type: integer + description: Count for August + example: 1 + Rcsep : + type: integer + description: Count for September + example: 1 + Rcoct : + type: integer + description: Count for October + example: 1 + Rcnov : + type: integer + description: Count for November + example: 1 + Rcdec : + type: integer + description: Count for December + example: 1 + Rcid : + type: string + description: |+ + Internal database value, respond value from table Primary Key ID + It is for (For internal use) + example: N/A + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: |+ + Product Type. Possible values are: + 1. Biz Check: 0001 + 2. Biz Check Plus: 0002 + example: 0001 + Rcsecflag : + type: integer + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: datetime + description: Last update date + example: YYYY-MM-DD 00:00:00.0 + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + total_items: + type: integer + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + subject_idno: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + subject_name: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json Format + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/d&b_business_check_plus_sg_v0.1.yaml b/data/d&b_business_check_plus_sg_v0.1.yaml index 320d26313..1cfe721df 100644 --- a/data/d&b_business_check_plus_sg_v0.1.yaml +++ b/data/d&b_business_check_plus_sg_v0.1.yaml @@ -1,1724 +1,1726 @@ -openapi: 3.0.1 -info: - title: D&B Business Check Plus (SG) - description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace of a company including the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships. - - Aside from being able to protect your business via litigation checks to safeguard against reputational risk by avoiding companies potentially involved in financial crimes, the information from this microservice can serve as a quick solution for analysts or lawyers in a company whom are looking to draft documents related to cooperate finance or legal domains with one quick search. - version: '0.1.0' - x-subscribelink: d&b_business_check_plus_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 15, 2019" -paths: - /dnb/prod/sbcp: - post: - tags: - - v0.1.0 - summary: Adds a new user - requestBody: - content: - application/xml: - schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: Ok - content: - application/xml: - schema: - $ref: '#/components/schemas/success' - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 300 - - - - - - - - - - - - - - - - - - - - - - - ABUTHAHIR ABDUL GAFOOR S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 - OUB CENTRE SINGAPORE 048616 30/03/2009 - - ANGELA ANG - S1633336D - Liquidator - KING FINANCIAL ADVISORY SERVICES LEVEL 17 MLC CENTRE 19029 MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA 18/02/2009 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - - - - - - - - 30000.00 - - 28000.00 - - 27,000.00 - - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [REGISTRY_DETAIL] - [REQ_SEARCH_INFO] - [EMPLOYEE_SIZE] - [LIST_BIZ_BRANCH] - [LIST_REG_CHARGES] - [LIST_LIQUIDATOR] - [LIST_WINDING_UP] - [LIST_LITIGATION] - [LIST_SHARE_INTEREST_COMP] - [LIST_NAME_CHANGE] - [LIST_SHAREHOLDER] - [LIST_CAPITAL] - [LIST_OFFICER_OWNER] - [LIST_SALES_REVENUE_AMOUNT] - properties: - META_INFO: - type: object - example: |+ - - - - - - - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - CLASS - properties: - SERVICE: - type: string - description: Report requested - example: "BCP" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: datetime - description: Report request date - example: Wed Apr 08 11:37:51 MYT 2009 - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - CLASS: - type: string - description: Class location for metabean. It is for (For internal use) - example: N/A - REGISTRY_DETAIL : - type: object - example: |+ - - - - - - - - - - - - - - - - - - - - - - description: |+ - Registry Details with following children: - RENEWAL_DATE - ADDRESS1 - ADDRESS2 - ADDRESS3 - ADDRESS4 - COMP_TYPE_CODE - REG_DATE - REG_ACTIVITY1 - REG_ACTIVITY2 - ACC_DATE - STATUS_EFFECT_DATE - NAME_EFFECT_DATE - EXPIRY_DATE - COMP_TYPE - CHANGE_ADDR_DATE - COMP_STATUS - REG_ACTIVITY_DESC1 - REG_ACTIVITY_DESC2 - AUDITOR - AUDITOR_APPMT_DATE - LAST_AR_DATE - LAST_AGM_DATE - COUNTRY_INCORP - properties: - RENEWAL_DATE: - type: string - description: Renewal Date - example: "23/12/2008" - ADDRESS1: - type: string - description: Address Line 1 - example: "1 HARBOURFRONT AVENUE , 18 - 01" - ADDRESS2: - type: string - description: Address Line 2 - example: "KEPPEL BAY TOWER" - ADDRESS3: - type: string - description: Address Line 3 - example: "098632" - ADDRESS4: - type: string - description: Address Line 4 - example: "SINGAPORE" - COMP_TYPE_CODE: - type: string - example: CP - description: |+ - Report Code. Available values are: - 1. CP Corporate - 2. SP Sole Proprietor - REG_DATE: - type: string - description: Registration Date - example: "14/10/1974" - REG_ACTIVITY1: - type: string - description: Registered Activities 1 - example: "OTHER INVESTMENT HOLDING COMPANIES" - REG_ACTIVITY2: - type: string - description: Registered Activities 2 - example: "SHIP MANAGEMENT SERVICES" - ACC_DATE: - type: string - description: Account Date - example: "31/12/2007" - STATUS_EFFECT_DATE: - type: string - description: Status Effective Date - example: "14/10/1974" - NAME_EFFECT_DATE: - type: string - description: Name Effective Date - example: "14/10/1974" - EXPIRY_DATE: - type: string - description: Expiry Date - example: "25/10/2009" - COMP_TYPE: - type: string - description: Company Type - example: "LIMITED PRIVATE COMPANY" - CHANGE_ADDR_DATE: - type: string - description: Change Address Date - example: "09/05/2003" - COMP_STATUS: - type: string - description: Company Status - example: "Live Company" - REG_ACTIVITY_DESC1: - type: string - description: Registered Activities Description - example: - REG_ACTIVITY_DESC2: - type: string - description: Registered Activities Description - example: - AUDITOR: - type: string - description: Auditor Name - example: - AUDITOR_APPMT_DATE: - type: string - description: Auditor Appointment Date - example: "13/06/1990" - LAST_AR_DATE: - type: string - description: Date of Last AR - example: "30/06/2008" - LAST_AGM_DATE: - type: string - description: Date of Last AGM - example: "11/06/2008" - COUNTRY_INCORP: - type: string - description: Country Incorporated - example: "SINGAPORE" - REQ_SEARCH_INFO : - type: object - example: |+ - - - - - - - description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REG_NO: - type: string - description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "197401835M" - REQ_DATE: - type: datetime - description: Report Requested Date - example: 2009-04-08 11:36:03.611 - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197401835M" - REQ_NAME: - type: string - description: Request Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REQ_DATE_STR: - type: string - description: Request Date String - example: "08/04/2009 11:36:03" - EMPLOYEE_SIZE : - type: object - description: |+ - Employee Size details with following children: - ELEMENTS - AMOUNT - example: |+ - - - 300 - - properties: - ELEMENTS: - type: string - description: Description - example: "Employee Size" - AMOUNT: - type: integer - description: Number of employee - example: 300 - LIST_BIZ_BRANCH : - type: array - description: |+ - List of Business Branches with following children: - [BIZ_BRANCH] - example: |+ - - - - - - - items: - properties: - BIZ_BRANCH : - type: object - description: |+ - Business Branches with following children: - ADDR_BUILDING - ADDR_POSTCODE - ADDR_ADDRESS1 - example: |+ - - - - - - properties: - ADDR_BUILDING: - type: string - description: Building Name - example: - ADDR_POSTCODE: - type: string - description: Postcode - example: 289848 - ADDR_ADDRESS1: - type: string - description: Address - example: 251A ARCADIA ROAD - LIST_REG_CHARGES: - type: array - description: |+ - List of Registered Charges with following children: - [REG_CHARGES] - example: |+ - - - - - - - - - - items: - properties: - REG_CHARGES : - type: object - description: |+ - Registered Charges details with following children: - CHARGE_NO - CHARGE_DATE - CHARGEE_COMP - CURRENCY - AMT_SECURED - STATUS_SATISFACTION - example: |+ - - - - - - - - - properties: - CHARGE_NO : - type: string - description: Charge No. - example: 8205117 - CHARGE_DATE: - type: string - description: Charge Date - example: 26/11/1982 - CHARGEE_COMP: - type: string - description: Charges Company - example: UNITED OVERSEAS BANK LIMITED - CURRENCY: - type: string - description: Currency - example: - AMT_SECURED: - type: string - description: Amount Secured - example: 1000.00 - STATUS_SATISFACTION: - type: string - description: Status of Satisfaction - example: - LIST_LIQUIDATOR: - type: array - description: |+ - List of Liquidator / Receiver / Judicial Manager with following children: - [LIQUIDATOR] - example: |+ - - - ABUTHAHIR ABDUL GAFOOR S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 - OUB CENTRE SINGAPORE 048616 30/03/2009 - - - items: - properties: - LIQUIDATOR : - type: object - description: |+ - Liquidator details with following children: - LIQ_POSITION - LIQ_ID - LIQ_NAME - LIQ_COMP - LIQ_ADDRESS1 - LIQ_ADDRESS2 - LIQ_ADDRESS3 - LIQ_ADDRESS4 - LIQ_APPOINTMENT_DATE - example: |+ - - ABUTHAHIR ABDUL GAFOOR - S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - 1 RAFFLES PLACE - #20-01 - OUB CENTRE - SINGAPORE 048616 - 30/03/2009 - - properties: - LIQ_POSITION: - type: string - description: Liquidator / Receiver / Judicial Manager Position - example: Liquidator - LIQ_ID: - type: string - description: Liquidator / Receiver / Judicial Manager ID - example: S1676216D - LIQ_NAME : - type: string - description: Liquidator / Receiver / Judicial Manager Name - example: ABUTHAHIR ABDUL GAFOOR - LIQ_COMP: - type: string - description: Liquidator / Receiver / Judicial Manager Company Name - example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: - type: string - description: Liquidator / Receiver / Judicial Manager Address 1 - example: 1 RAFFLES PLACE - LIQ_ADDRESS2: - type: string - description: Liquidator / Receiver / Judicial Manager Address 2 - example: #20-01 - LIQ_ADDRESS3: - type: string - description: Liquidator / Receiver / Judicial Manager Address 3 - example: OUB CENTRE - LIQ_ADDRESS4: - type: string - description: Liquidator / Receiver / Judicial Manager Address 4 - example: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: - type: string - description: Liquidator / Receiver / Judicial Manager Appointment Date - example: 30/03/2009 - LIST_WINDING_UP : - type: array - description: |+ - List of Winding Up with following children: - [WINDING_UP] - example: |+ - - - - - - - - - - - - - - - - - - - - - items: - properties: - WINDING_UP : - type: object - description: |+ - Winding Up details with following children: - CASE_CODE - CASE_YEAR - PLAINTIFF - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_LAW_FIRM - SUBJECT_NAME - COURT_CODE - CASE_TYPE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - PLA_SOLICITOR - example: |+ - - - - - - - - - - - - - - - - - - - - properties: - CASE_CODE : - type: string - description: Case Code - example: 40000 - CASE_YEAR : - type: string - description: Case Year - example: 1999 - PLAINTIFF : - type: string - description: Plaintiff Name - example: - PLA_SOLICITOR_ID : - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF : - type: string - description: Pla. File Ref. - example: - PLA_LAW_FIRM : - type: string - description: Pla. Law Firm - example: NAME2 - SUBJECT_NAME : - type: string - description: Subject Name - example: PROACTIVE BUILDERS - COURT_CODE : - type: string - description: Court Code - example: CWU - CASE_TYPE : - type: string - description: Case Type - example: COMPANY WINDING UP PETITION - CURRENCY1 : - type: string - description: Currency 1 - example: SGD - AMOUNT1 : - type: string - description: Amount 1 - example: 41,424.52 - CURRENCY2 : - type: string - description: Currency 2 - example: MYR - AMOUNT2 : - type: string - description: Amount 2 - example: 0.00 - CURRENCY3 : - type: string - description: Currency 3 - example: - AMOUNT3 : - type: string - description: Amount 3 - example: 0.00 - ACTION_DATE : - type: string - description: Action Date - example: 11/05/2007 - BANKRUPTCY_ACT : - type: string - description: Act of Bankruptcy - example: Petition for Winding Up - HEARING_DATE : - type: string - description: Hearing Date - example: 15/12/2007 - PLA_SOLICITOR : - type: string - description: Pla. Solicitor - example: - LIST_LITIGATION : - type: array - description: |+ - List of Winding Up with following children: - [LITIGATION] - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - items: - properties: - LITIGATION : - type: object - description: |+ - List of Winding Up with following children: - SUBJECT_NAME - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - DOC_REMARK - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - DATE_OF_WRIT - STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - PLAINTIFF - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_LAW_FIRM - PLA_FILE_REF - PLA_ID - PLA_STATUS - PLA_STATUS_DATE - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - - - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: "SOON SOON SEAFOOD" - NATURE_OF_CLAIM : - type: string - example: "CONTRACT 3" - description: Nature of Claim - STATUS_DATE : - type: string - example: "01/05/2008" - description: Status Date - CASE_NO : - type: string - example: "MC 40001 / 1999" - description: Case No - DOC_REMARKS : - type: string - example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" - description: Document Remark - CURRENCY1 : - type: string - example: "SGD" - description: Currency 1 - CURRENCY2 : - type: string - example: "MYR" - description: Currency 2 - CURRENCY3 : - type: string - example: "USD" - description: Currency 3 - CURRENCY4 : - type: string - example: "-" - description: Currency 4 - CURRENCY5 : - type: string - example: "-" - description: Currency 5 - DEF_SOLICITOR : - type: string - example: "SOL2" - description: Def. Solicitor - DEF_SOLICITOR_ID : - type: string - example: "20000000" - description: Def. Solicitor ID - DEF_LAW_FIRM : - type: string - example: "NAME2" - description: Def. Law Firm - DEF_FILE_REF : - type: string - example: "FILE2" - description: Def. File Ref. - DATE_OF_WRIT : - type: string - example: "01/01/2008" - description: Date Writ - STATUS : - type: string - example: "CONCLUDED 3" - description: Status - AMOUNT1 : - type: string - example: "100.00" - description: Amount 1 - AMOUNT2 : - type: string - example: "200.00" - description: Amount 2 - AMOUNT3 : - type: string - example: "0.00" - description: Amount 3 - AMOUNT4 : - type: string - example: "400.00" - description: Amount 4 - AMOUNT5 : - type: string - example: "0.00" - description: Amount 5 - PLAINTIFF : - type: string - example: "MC 40001" - description: Plaintiff Name - PLA_SOLICITOR: - type: string - example: "SOL2" - description: plantiff Solicitor - PLA_SOLICITOR_ID: - type: string - example: "20000000" - description: plantiff Solicitor ID - PLA_LAW_FIRM : - type: string - example: "NAME2" - description: Pla. Law Firm - PLA_FILE_REF : - type: string - example: "FILE2" - description: Pla. File Ref. - PLA_ID: - type: string - example: "S0739038F" - description: Plaintiff ID - PLA_STATUS: - type: string - example: "SETTLED - BEFORE SET DOWN" - description: Plaintiff Status - PLA_STATUS_DATE : - type: string - example: "17/10/2016" - description: Plaintiff Status Date - LIST_SHARE_INTEREST_COMP : - type: array - description: |+ - List of Share Interest In Companies with following children: - [SHARE_INTEREST_COMP] - example: |+ - - - - - - - - - items: - properties: - SHARE_INTEREST_COMP : - type: object - description: |+ - Share Interest In Companies details with following children: - COMP_NAME - SHARE_OWNED_UNIT - SHARE_OWNED_PERCENT - STATUS - example: |+ - - - - - - - properties: - COMP_NAME : - type: string - description: Company Name - example: ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT : - type: string - description: Shares Owned Unit - example: 500000 - SHARE_OWNED_PERCENT : - type: string - description: Shares Owned Value (%) - example: 100.00 - STATUS : - type: string - description: Status - example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE : - type: array - description: |+ - List of Change of Company/Business Name(s) with following children: - [NAME_CHANGE] - example: |+ - - - - - - - items: - properties: - NAME_CHANGE : - type: object - description: |+ - Change of Company/Business Name(s) with following children: - PREV_NAME - EFFECT_DATE - example: |+ - - - - - properties: - PREV_NAME : - type: string - description: Previous Name - example: HUA XI EATING HOUSE - EFFECT_DATE : - type: string - description: Effective Date - example: 25/10/1997 00:00:00 - LIST_SHAREHOLDER : - type: array - description: |+ - List of Shareholders with following children: - [SHAREHOLDER] - example: |+ - - -
- - - - - - - - - - items: - properties: - SHAREHOLDER : - type: object - description: |+ - Shareholders details with following children: - ADDRESS - COMP_ID - NO_OF_SHARE - CURRENCY - SHAREHOLDER_TYPE - SHARE_TYPE - SHAREHOLDER_NAME - CHANGE_ADDR_DATE - ADDR_TYPE - NATIONALITY - example: |+ - -
- - - - - - - - - - - properties: - ADDRESS : - type: string - description: Address - example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID : - type: string - description: Company/ Identity No. - example: 198200406H - NO_OF_SHARE : - type: string - description: No. of Shares - example: 657 - CURRENCY : - type: string - description: Currency - example: UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE : - type: string - description: |+ - Indicator for Shareholder type. - Possible values are: - 1 Individual - 2 Company - 3 Unregistered foreign company - 4 Unregistered local company - example: 2 - SHARE_TYPE : - type: string - description: Share Type - example: Preference - SHAREHOLDER_NAME : - type: string - description: Shareholder Name - example: KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 09/05/2003 - ADDR_TYPE : - type: string - description: |+ - Address Type, indicates if it is Singapore or foreign address. - Possible values are: - S Indicates Singapore address - - Indicates foreign address - example: S - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE - LIST_CAPITAL : - type: array - description: |+ - List of Capital details with following children: - [CAPITAL] - example: |+ - - - - - - - - - - items: - properties: - CAPITAL : - type: object - description: |+ - Capital details with following children: - CAPITAL_CATEGORY - CAPITAL_TYPE - CURRENCY - CAPITAL_AMT - NO_OF_SHARES - example: |+ - - - - - - - - properties: - CAPITAL_CATEGORY : - type: string - description: Capital Category - example: Issued - CAPITAL_TYPE : - type: string - description: Capital Type - example: Ordinary - CURRENCY : - type: string - description: Currency - example: SINGAPORE, DOLLARS - CAPITAL_AMT : - type: string - description: Capital Amount - example: 100,000.00 - NO_OF_SHARES : - type: string - description: Nos. of Shares - example: 100,000 - LIST_OFFICER_OWNER : - type: array - description: |+ - List of Officer(s) / Owner(s) with following children: - [OFFICER_OWNER] - example: |+ - - -
- - - - - - - - items: - properties: - OFFICER_OWNER : - type: object - description: |+ - Officer(s) / Owner(s) details with following children: - ADDRESS - IDENTITY_ID - PA_REG_NO - POSITION - ADDR_TYPE - CESSATION_DATE - OFFICER_NAME - CHANGE_ADDR_DATE - APPMT_DATE - NATIONALITY - example: |+ - -
- - - - - - - - - - properties: - ADDRESS : - type: string - description: Address - example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE - IDENTITY_ID : - type: string - description: Identity No. - example: S1674174D - PA_REG_NO : - type: string - description: Public Accountant Registration No. - example: 00091 - POSITION : - type: string - description: Position - example: DIRECTOR - ADDR_TYPE : - type: string - description: |+ - Address Type, indicates if it is Singapore or foreign address. - Possible values are: - S Indicates Singapore address - - Indicates foreign address - example: S - CESSATION_DATE : - type: string - description: Cessation Date - example: 30/10/2003 - OFFICER_NAME : - type: string - description: Officer Name - example: HENRY GOH - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 30/10/2003 - APPMT_DATE : - type: string - description: Appointment Date - example: 30/10/2003 - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT : - type: array - description: |+ - List of Sales Revenue Amount with following children: - [SALES_REVENUE_AMOUNT] - example: |+ - - - 30000.00 - - - items: - properties: - SALES_REVENUE_AMOUNT : - type: object - description: |+ - Sales Revenue Amount details with following children: - ELEMENTS - YEAR - CURRENCY - AMOUNT - example: |+ - - - - - 30000.00 - - properties: - ELEMENTS : - type: string - description: Description - example: Sales Revenue Amount - YEAR : - type: string - description: Year - example: 2008 - CURRENCY : - type: string - description: Currency - example: SGD - AMOUNT : - type: string - description: Amount. Amount values that higher than 1000 have a comma to delimit every 3 digits of the amount value. - example: 30000.00 - LIST_Ddrptcount : - type: array - description: |+ - List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: - [Ddrptcount] - example: - items: - properties: - Ddrptcount : - type: object - description: |+ - 6 XML tags (open then close) displays - Search By Financial Sectors (counts for 3 recent years) - Search By Non- Financial Sectors (counts for 3 recent years) - Following children are: - Rcyear - RcFlag (only respond for the year exists) - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) - Rcsecflag - LastUpdateDate (only respond for the year exists) - example: - properties: - Rcyear : - type: string - description: To show the year - example: 2017 - RcFlag : - type: string - description: Internal database value - example: N/A - Rcjan : - type: integer - description: Count for January - example: 1 - Rcfeb : - type: integer - description: Count for February - example: 1 - Rcmar : - type: integer - description: Count for March - example: 1 - Rcapr : - type: integer - description: Count for April - example: 1 - Rcmay : - type: integer - description: Count for May - example: 1 - Rcjun : - type: integer - description: Count for June - example: 1 - Rcjul : - type: integer - description: Count for July - example: 1 - Rcaug : - type: integer - description: Count for August - example: 1 - Rcsep : - type: integer - description: Count for September - example: 1 - Rcoct : - type: integer - description: Count for October - example: 1 - Rcnov : - type: integer - description: Count for November - example: 1 - Rcdec : - type: integer - description: Count for December - example: 1 - Rcid : - type: string - description: |+ - Internal database value, respond value from table Primary Key ID - It is for (For internal use) - example: N/A - Rcreg : - type: string - description: Company Registration Number - example: - Rcrptyid : - type: string - description: |+ - Product Type. Possible values are: - 1. Biz Check: 0001 - 2. Biz Check Plus: 0002 - example: 0001 - Rcsecflag : - type: integer - description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: 1 - LastUpdateDate : - type: datetime - description: Last update date - example: YYYY-MM-DD 00:00:00.0 - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - REQUEST: - type: object - properties: - TOT_ITEMS: - type: integer - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: - type: object - example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD - description: Contains information of each request details - default: true - properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json Format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: D&B Business Check Plus (SG) + description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace of a company including the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships. + - Aside from being able to protect your business via litigation checks to safeguard against reputational risk by avoiding companies potentially involved in financial crimes, the information from this microservice can serve as a quick solution for analysts or lawyers in a company whom are looking to draft documents related to cooperate finance or legal domains with one quick search. + version: '0.1.0' + x-subscribelink: d&b_business_check_plus_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides key business information, litigation information and and Winding Up Trace of a company. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 15, 2019" +paths: + /dnb/prod/sbcp: + post: + tags: + - v0.1.0 + summary: Adds a new user + requestBody: + content: + application/xml: + schema: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: Ok + content: + application/xml: + schema: + $ref: '#/components/schemas/success' + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 300 + + + + + + + + + + + + + + + + + + + + + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + ANGELA ANG + S1633336D + Liquidator + KING FINANCIAL ADVISORY SERVICES LEVEL 17 MLC CENTRE 19029 MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA 18/02/2009 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + + + + + + + + + + + + + + + + + + + + +
+ + + + + + +
+ + + + + + + + + 30000.00 + + 28000.00 + + 27,000.00 + + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_WINDING_UP] + [LIST_LITIGATION] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] + properties: + META_INFO: + type: object + example: |+ + + + + + + + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS + properties: + SERVICE: + type: string + description: Report requested + example: "BCP" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: datetime + description: Report request date + example: Wed Apr 08 11:37:51 MYT 2009 + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + CLASS: + type: string + description: Class location for metabean. It is for (For internal use) + example: N/A + REGISTRY_DETAIL : + type: object + example: |+ + + + + + + + + + + + + + + + + + + + + + + description: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP + properties: + RENEWAL_DATE: + type: string + description: Renewal Date + example: "23/12/2008" + ADDRESS1: + type: string + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" + ADDRESS2: + type: string + description: Address Line 2 + example: "KEPPEL BAY TOWER" + ADDRESS3: + type: string + description: Address Line 3 + example: "098632" + ADDRESS4: + type: string + description: Address Line 4 + example: "SINGAPORE" + COMP_TYPE_CODE: + type: string + example: CP + description: |+ + Report Code. Available values are: + 1. CP Corporate + 2. SP Sole Proprietor + REG_DATE: + type: string + description: Registration Date + example: "14/10/1974" + REG_ACTIVITY1: + type: string + description: Registered Activities 1 + example: "OTHER INVESTMENT HOLDING COMPANIES" + REG_ACTIVITY2: + type: string + description: Registered Activities 2 + example: "SHIP MANAGEMENT SERVICES" + ACC_DATE: + type: string + description: Account Date + example: "31/12/2007" + STATUS_EFFECT_DATE: + type: string + description: Status Effective Date + example: "14/10/1974" + NAME_EFFECT_DATE: + type: string + description: Name Effective Date + example: "14/10/1974" + EXPIRY_DATE: + type: string + description: Expiry Date + example: "25/10/2009" + COMP_TYPE: + type: string + description: Company Type + example: "LIMITED PRIVATE COMPANY" + CHANGE_ADDR_DATE: + type: string + description: Change Address Date + example: "09/05/2003" + COMP_STATUS: + type: string + description: Company Status + example: "Live Company" + REG_ACTIVITY_DESC1: + type: string + description: Registered Activities Description + example: + REG_ACTIVITY_DESC2: + type: string + description: Registered Activities Description + example: + AUDITOR: + type: string + description: Auditor Name + example: + AUDITOR_APPMT_DATE: + type: string + description: Auditor Appointment Date + example: "13/06/1990" + LAST_AR_DATE: + type: string + description: Date of Last AR + example: "30/06/2008" + LAST_AGM_DATE: + type: string + description: Date of Last AGM + example: "11/06/2008" + COUNTRY_INCORP: + type: string + description: Country Incorporated + example: "SINGAPORE" + REQ_SEARCH_INFO : + type: object + example: |+ + + + + + + + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REG_NO: + type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "197401835M" + REQ_DATE: + type: datetime + description: Report Requested Date + example: 2009-04-08 11:36:03.611 + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197401835M" + REQ_NAME: + type: string + description: Request Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REQ_DATE_STR: + type: string + description: Request Date String + example: "08/04/2009 11:36:03" + EMPLOYEE_SIZE : + type: object + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: |+ + + + 300 + + properties: + ELEMENTS: + type: string + description: Description + example: "Employee Size" + AMOUNT: + type: integer + description: Number of employee + example: 300 + LIST_BIZ_BRANCH : + type: array + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: |+ + + + + + + + items: + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: |+ + + + + + + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD + LIST_REG_CHARGES: + type: array + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: |+ + + + + + + + + + + items: + properties: + REG_CHARGES : + type: object + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: |+ + + + + + + + + + properties: + CHARGE_NO : + type: string + description: Charge No. + example: 8205117 + CHARGE_DATE: + type: string + description: Charge Date + example: 26/11/1982 + CHARGEE_COMP: + type: string + description: Charges Company + example: UNITED OVERSEAS BANK LIMITED + CURRENCY: + type: string + description: Currency + example: + AMT_SECURED: + type: string + description: Amount Secured + example: 1000.00 + STATUS_SATISFACTION: + type: string + description: Status of Satisfaction + example: + LIST_LIQUIDATOR: + type: array + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: |+ + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + + items: + properties: + LIQUIDATOR : + type: object + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE + example: |+ + + ABUTHAHIR ABDUL GAFOOR + S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + 1 RAFFLES PLACE + #20-01 + OUB CENTRE + SINGAPORE 048616 + 30/03/2009 + + properties: + LIQ_POSITION: + type: string + description: Liquidator / Receiver / Judicial Manager Position + example: Liquidator + LIQ_ID: + type: string + description: Liquidator / Receiver / Judicial Manager ID + example: S1676216D + LIQ_NAME : + type: string + description: Liquidator / Receiver / Judicial Manager Name + example: ABUTHAHIR ABDUL GAFOOR + LIQ_COMP: + type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: + type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: 1 RAFFLES PLACE + LIQ_ADDRESS2: + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: #20-01 + LIQ_ADDRESS3: + type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: OUB CENTRE + LIQ_ADDRESS4: + type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: 30/03/2009 + LIST_WINDING_UP : + type: array + description: |+ + List of Winding Up with following children: + [WINDING_UP] + example: |+ + + + + + + + + + + + + + + + + + + + + + items: + properties: + WINDING_UP : + type: object + description: |+ + Winding Up details with following children: + CASE_CODE + CASE_YEAR + PLAINTIFF + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_LAW_FIRM + SUBJECT_NAME + COURT_CODE + CASE_TYPE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + PLA_SOLICITOR + example: |+ + + + + + + + + + + + + + + + + + + + + properties: + CASE_CODE : + type: string + description: Case Code + example: 40000 + CASE_YEAR : + type: string + description: Case Year + example: 1999 + PLAINTIFF : + type: string + description: Plaintiff Name + example: + PLA_SOLICITOR_ID : + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF : + type: string + description: Pla. File Ref. + example: + PLA_LAW_FIRM : + type: string + description: Pla. Law Firm + example: NAME2 + SUBJECT_NAME : + type: string + description: Subject Name + example: PROACTIVE BUILDERS + COURT_CODE : + type: string + description: Court Code + example: CWU + CASE_TYPE : + type: string + description: Case Type + example: COMPANY WINDING UP PETITION + CURRENCY1 : + type: string + description: Currency 1 + example: SGD + AMOUNT1 : + type: string + description: Amount 1 + example: 41,424.52 + CURRENCY2 : + type: string + description: Currency 2 + example: MYR + AMOUNT2 : + type: string + description: Amount 2 + example: 0.00 + CURRENCY3 : + type: string + description: Currency 3 + example: + AMOUNT3 : + type: string + description: Amount 3 + example: 0.00 + ACTION_DATE : + type: string + description: Action Date + example: 11/05/2007 + BANKRUPTCY_ACT : + type: string + description: Act of Bankruptcy + example: Petition for Winding Up + HEARING_DATE : + type: string + description: Hearing Date + example: 15/12/2007 + PLA_SOLICITOR : + type: string + description: Pla. Solicitor + example: + LIST_LITIGATION : + type: array + description: |+ + List of Winding Up with following children: + [LITIGATION] + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + items: + properties: + LITIGATION : + type: object + description: |+ + List of Winding Up with following children: + SUBJECT_NAME + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + DOC_REMARK + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + DATE_OF_WRIT + STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + PLAINTIFF + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_LAW_FIRM + PLA_FILE_REF + PLA_ID + PLA_STATUS + PLA_STATUS_DATE + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + properties: + SUBJECT_NAME : + type: string + description: Subject Name + example: "SOON SOON SEAFOOD" + NATURE_OF_CLAIM : + type: string + example: "CONTRACT 3" + description: Nature of Claim + STATUS_DATE : + type: string + example: "01/05/2008" + description: Status Date + CASE_NO : + type: string + example: "MC 40001 / 1999" + description: Case No + DOC_REMARKS : + type: string + example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" + description: Document Remark + CURRENCY1 : + type: string + example: "SGD" + description: Currency 1 + CURRENCY2 : + type: string + example: "MYR" + description: Currency 2 + CURRENCY3 : + type: string + example: "USD" + description: Currency 3 + CURRENCY4 : + type: string + example: "-" + description: Currency 4 + CURRENCY5 : + type: string + example: "-" + description: Currency 5 + DEF_SOLICITOR : + type: string + example: "SOL2" + description: Def. Solicitor + DEF_SOLICITOR_ID : + type: string + example: "20000000" + description: Def. Solicitor ID + DEF_LAW_FIRM : + type: string + example: "NAME2" + description: Def. Law Firm + DEF_FILE_REF : + type: string + example: "FILE2" + description: Def. File Ref. + DATE_OF_WRIT : + type: string + example: "01/01/2008" + description: Date Writ + STATUS : + type: string + example: "CONCLUDED 3" + description: Status + AMOUNT1 : + type: string + example: "100.00" + description: Amount 1 + AMOUNT2 : + type: string + example: "200.00" + description: Amount 2 + AMOUNT3 : + type: string + example: "0.00" + description: Amount 3 + AMOUNT4 : + type: string + example: "400.00" + description: Amount 4 + AMOUNT5 : + type: string + example: "0.00" + description: Amount 5 + PLAINTIFF : + type: string + example: "MC 40001" + description: Plaintiff Name + PLA_SOLICITOR: + type: string + example: "SOL2" + description: plantiff Solicitor + PLA_SOLICITOR_ID: + type: string + example: "20000000" + description: plantiff Solicitor ID + PLA_LAW_FIRM : + type: string + example: "NAME2" + description: Pla. Law Firm + PLA_FILE_REF : + type: string + example: "FILE2" + description: Pla. File Ref. + PLA_ID: + type: string + example: "S0739038F" + description: Plaintiff ID + PLA_STATUS: + type: string + example: "SETTLED - BEFORE SET DOWN" + description: Plaintiff Status + PLA_STATUS_DATE : + type: string + example: "17/10/2016" + description: Plaintiff Status Date + LIST_SHARE_INTEREST_COMP : + type: array + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: |+ + + + + + + + + + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: |+ + + + + + + + properties: + COMP_NAME : + type: string + description: Company Name + example: ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: 500000 + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: 100.00 + STATUS : + type: string + description: Status + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: |+ + + + + + + + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: |+ + + + + + properties: + PREV_NAME : + type: string + description: Previous Name + example: HUA XI EATING HOUSE + EFFECT_DATE : + type: string + description: Effective Date + example: 25/10/1997 00:00:00 + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: |+ + + +
+ + + + + + + + + + items: + properties: + SHAREHOLDER : + type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: |+ + +
+ + + + + + + + + + + properties: + ADDRESS : + type: string + description: Address + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID : + type: string + description: Company/ Identity No. + example: 198200406H + NO_OF_SHARE : + type: string + description: No. of Shares + example: 657 + CURRENCY : + type: string + description: Currency + example: UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE : + type: string + description: |+ + Indicator for Shareholder type. + Possible values are: + 1 Individual + 2 Company + 3 Unregistered foreign company + 4 Unregistered local company + example: 2 + SHARE_TYPE : + type: string + description: Share Type + example: Preference + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 09/05/2003 + ADDR_TYPE : + type: string + description: |+ + Address Type, indicates if it is Singapore or foreign address. + Possible values are: + S Indicates Singapore address + - Indicates foreign address + example: S + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: |+ + + + + + + + + + + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: |+ + + + + + + + + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: Issued + CAPITAL_TYPE : + type: string + description: Capital Type + example: Ordinary + CURRENCY : + type: string + description: Currency + example: SINGAPORE, DOLLARS + CAPITAL_AMT : + type: string + description: Capital Amount + example: 100,000.00 + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: 100,000 + LIST_OFFICER_OWNER : + type: array + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: |+ + + +
+ + + + + + + + items: + properties: + OFFICER_OWNER : + type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: |+ + +
+ + + + + + + + + + properties: + ADDRESS : + type: string + description: Address + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE + IDENTITY_ID : + type: string + description: Identity No. + example: S1674174D + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: 00091 + POSITION : + type: string + description: Position + example: DIRECTOR + ADDR_TYPE : + type: string + description: |+ + Address Type, indicates if it is Singapore or foreign address. + Possible values are: + S Indicates Singapore address + - Indicates foreign address + example: S + CESSATION_DATE : + type: string + description: Cessation Date + example: 30/10/2003 + OFFICER_NAME : + type: string + description: Officer Name + example: HENRY GOH + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 30/10/2003 + APPMT_DATE : + type: string + description: Appointment Date + example: 30/10/2003 + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: |+ + + + 30000.00 + + + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: |+ + + + + + 30000.00 + + properties: + ELEMENTS : + type: string + description: Description + example: Sales Revenue Amount + YEAR : + type: string + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: string + description: Amount. Amount values that higher than 1000 have a comma to delimit every 3 digits of the amount value. + example: 30000.00 + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: integer + description: Count for January + example: 1 + Rcfeb : + type: integer + description: Count for February + example: 1 + Rcmar : + type: integer + description: Count for March + example: 1 + Rcapr : + type: integer + description: Count for April + example: 1 + Rcmay : + type: integer + description: Count for May + example: 1 + Rcjun : + type: integer + description: Count for June + example: 1 + Rcjul : + type: integer + description: Count for July + example: 1 + Rcaug : + type: integer + description: Count for August + example: 1 + Rcsep : + type: integer + description: Count for September + example: 1 + Rcoct : + type: integer + description: Count for October + example: 1 + Rcnov : + type: integer + description: Count for November + example: 1 + Rcdec : + type: integer + description: Count for December + example: 1 + Rcid : + type: string + description: |+ + Internal database value, respond value from table Primary Key ID + It is for (For internal use) + example: N/A + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: |+ + Product Type. Possible values are: + 1. Biz Check: 0001 + 2. Biz Check Plus: 0002 + example: 0001 + Rcsecflag : + type: integer + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: datetime + description: Last update date + example: YYYY-MM-DD 00:00:00.0 + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: integer + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json Format + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index 97335526e..b6ab34465 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -1,1486 +1,1488 @@ -openapi: 3.0.1 -info: - title: D&B Business Check (SG) - description: |+ - This Data microservice provides key business information of a Singapore-registered company that includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels. - - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more. - - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements. - - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime. - - It can also be used for finance-related domains such as vehicle leasing, loans, enterprise credit terms and so on. Updated daily. - version: '1.0.0' - x-subscribelink: d&b_business_check_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/sbc/v1/getdata: - post: - tags: - - v1.0.0 - summary: Adds a new user - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - success: - report: - meta_info: - service: string - system_id: string - creation_date: string - user_id: string - class: string - req_search_info: - comp_name: string - reg_no: string - req_date: string - req_reg_no: string - req_name: string - req_date_str: string - registry_detail: - comp_name: string - renewal_date: string - address1: string - address2: string - address3: string - address4: string - comp_type_code: string - reg_date: string - reg_activity1: string - reg_activity2: string - acc_date: string - status_effect_date: string - name_effect_date: string - expiry_date: string - comp_type: string - change_addr_date: string - comp_status: string - reg_activity_desc1: string - reg_activity_desc2: string - auditor: string - auditor_appmt_date: string - last_ar_date: string - last_agm_date: string - country_incorp: string - employee_size: - elements: string - amount: string - list_biz_branch: - biz_branch: - addr_building: string - addr_postcode: string - addr_address1: string - list_reg_charges: - reg_charges: - charge_no: string - charge_date: string - chargee_comp: string - currency: string - amt_secured: string - status_satisfaction: string - list_liquidator: - liquidator: - liq_name: string - liq_id: string - liq_position: string - liq_comp: string - liq_address1: string - liq_address2: string - liq_address3: string - liq_address4: string - liq_appointment_date: string - list_sales_revenue_amount: - sales_revenue_amount: - elements: string - year: string - currency: string - amount: '0' - list_shareholder: - shareholder: - address: string - comp_id: string - no_of_share: string - currency: string - shareholder_type: string - share_type: string - shareholder_name: string - change_addr_date: string - addr_type: string - nationality: string - list_share_interest_comp: - share_interest_comp: - comp_name: string - share_owned_unit: string - share_owned_percent: string - status: string - list_officer_owner: - officer_owner: - address: string - identity_id: string - position: string - addr_type: string - cessation_date: string - officer_name: string - change_addr_date: string - appmt_date: string - nationality: string - list_capital: - capital: - capital_category: string - capital_type: string - currency: string - capital_amt: string - no_of_shares: string - list_name_change: - name_change: - prev_name: string - effect_date: string - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [REGISTRY_DETAIL] - [REQ_SEARCH_INFO] - [EMPLOYEE_SIZE] - [LIST_BIZ_BRANCH] - [LIST_REG_CHARGES] - [LIST_LIQUIDATOR] - [LIST_SHARE_INTEREST_COMP] - [LIST_NAME_CHANGE] - [LIST_SHAREHOLDER] - [LIST_CAPITAL] - [LIST_OFFICER_OWNER] - [LIST_SALES_REVENUE_AMOUNT] - properties: - META_INFO: - type: object - example: - META_INFO: - SERVICE: - "@type": String - "#text": BC - SYSTEM_ID: - "@type": String - "#text": DDP - CREATION_DATE: - "@type": Date - "#text": Wed Apr 08 11:37:51 MYT 2009 - USER_ID: - "@type": String - "#text": plcust102 - CLASS: - "@type": String - "#text": class com.technodex.ddp.xmlbean.MetaBean - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - CLASS - properties: - SERVICE: - type: string - description: Report requested - example: "BC" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: datetime - description: Report request date - example: "Wed Apr 08 11:37:51 MYT 2009" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: "N/A" - CLASS: - type: string - description: Class location for metabean. It is for (For internal use) - example: "N/A" - REGISTRY_DETAIL : - type: object - example: - REGISTRY_DETAIL: - "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean - RENEWAL_DATE: - "@type": String - "#text": 23/12/2008 - ADDRESS1: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01 - ADDRESS2: - "@type": String - "#text": KEPPEL BAY TOWER - ADDRESS3: - "@type": String - "#text": '098632' - ADDRESS4: - "@type": String - "#text": SINGAPORE - COMP_TYPE_CODE: - "@type": String - "#text": CP - REG_DATE: - "@type": String - "#text": 14/10/1974 - REG_ACTIVITY1: - "@type": String - "#text": OTHER INVESTMENT HOLDING COMPANIES - REG_ACTIVITY2: - "@type": String - "#text": SHIP MANAGEMENT SERVICES - ACC_DATE: - "@type": String - "#text": 31/12/2007 - STATUS_EFFECT_DATE: - "@type": String - "#text ": 14/10/1974 - NAME_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - EXPIRY_DATE: - "@type": String - "#text": 25/10/2009 - COMP_TYPE: - "@type": String - "#text": LIMITED PRIVATE COMPANY - CHANGE_ADDR_DATE: - "@type": String - "#text": '09 / 05 / 2003' - COMP_STATUS: - "@type": String - "#text": Live Company - REG_ACTIVITY_DESC1: - "@type": String - "#text": " - " - REG_ACTIVITY_DESC2: - "@type": String - "#text": " - " - AUDITOR: - "@type": String - "#text": " - " - AUDITOR_APPMT_DATE: - "@type": String - "#text": 13/06/1990 - LAST_AR_DATE: - "@type": String - "#text": 30/06/2008 - LAST_AGM_DATE: - "@type": String - "#text": 11/06/2008 - COUNTRY_INCORP: - "@type": String - "#text": SINGAPORE - description: |+ - Registry Details with following children: - RENEWAL_DATE - ADDRESS1 - ADDRESS2 - ADDRESS3 - ADDRESS4 - COMP_TYPE_CODE - REG_DATE - REG_ACTIVITY1 - REG_ACTIVITY2 - ACC_DATE - STATUS_EFFECT_DATE - NAME_EFFECT_DATE - EXPIRY_DATE - COMP_TYPE - CHANGE_ADDR_DATE - COMP_STATUS - REG_ACTIVITY_DESC1 - REG_ACTIVITY_DESC2 - AUDITOR - AUDITOR_APPMT_DATE - LAST_AR_DATE - LAST_AGM_DATE - COUNTRY_INCORP - properties: - RENEWAL_DATE: - type: string - description: Renewal Date - example: "23/12/2008" - ADDRESS1: - type: string - description: Address Line 1 - example: "1 HARBOURFRONT AVENUE , 18 - 01" - ADDRESS2: - type: string - description: Address Line 2 - example: "KEPPEL BAY TOWER" - ADDRESS3: - type: string - description: Address Line 3 - example: "098632" - ADDRESS4: - type: string - description: Address Line 4 - example: "SINGAPORE" - COMP_TYPE_CODE: - type: string - example: CP - description: |+ - Report Code. Available values are: - 1. CP Corporate - 2. SP Sole Proprietor - REG_DATE: - type: string - description: Registration Date - example: "14/10/1974" - REG_ACTIVITY1: - type: string - description: Registered Activities 1 - example: "OTHER INVESTMENT HOLDING COMPANIES" - REG_ACTIVITY2: - type: string - description: Registered Activities 2 - example: "SHIP MANAGEMENT SERVICES" - ACC_DATE: - type: string - description: Account Date - example: "31/12/2007" - STATUS_EFFECT_DATE: - type: string - description: Status Effective Date - example: "14/10/1974" - NAME_EFFECT_DATE: - type: string - description: Name Effective Date - example: "14/10/1974" - EXPIRY_DATE: - type: string - description: Expiry Date - example: "25/10/2009" - COMP_TYPE: - type: string - description: Company Type - example: "LIMITED PRIVATE COMPANY" - CHANGE_ADDR_DATE: - type: string - description: Change Address Date - example: "09/05/2003" - COMP_STATUS: - type: string - description: Company Status - example: "Live Company" - REG_ACTIVITY_DESC1: - type: string - description: Registered Activities Description - example: - REG_ACTIVITY_DESC2: - type: string - description: Registered Activities Description - example: - AUDITOR: - type: string - description: Auditor Name - example: - AUDITOR_APPMT_DATE: - type: string - description: Auditor Appointment Date - example: "13/06/1990" - LAST_AR_DATE: - type: string - description: Date of Last AR - example: "30/06/2008" - LAST_AGM_DATE: - type: string - description: Date of Last AGM - example: "11/06/2008" - COUNTRY_INCORP: - type: string - description: Country Incorporated - example: "SINGAPORE" - REQ_SEARCH_INFO : - type: object - example: - REQ_SEARCH_INFO: - "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean - COMP_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REG_NO: - "@type": String - "#text": 197401835M - REQ_DATE: - "@type": Date - "#text": '2009-04-08 11:36:03.611' - REQ_REG_NO: - "@type": String - "#text": 197401835M - REQ_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REQ_DATE_STR: - "@type": String - "#text": '08/04/2009 11:36:03' - description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REG_NO: - type: string - description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "197401835M" - REQ_DATE: - type: string - description: Report Requested Date - example: "2009-04-08 11:36:03.611" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197401835M" - REQ_NAME: - type: string - description: Request Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REQ_DATE_STR: - type: string - description: Request Date String - example: "08/04/2009 11:36:03" - EMPLOYEE_SIZE : - type: object - description: |+ - Employee Size details with following children: - ELEMENTS - AMOUNT - example: - EMPLOYEE_SIZE: - ELEMENTS: Employee Size - AMOUNT: '300' - properties: - ELEMENTS: - type: string - description: Description - example: "Employee Size" - AMOUNT: - type: string - description: Number of employee - example: "300" - LIST_BIZ_BRANCH : - type: array - description: |+ - List of Business Branches with following children: - [BIZ_BRANCH] - example: - LIST_BIZ_BRANCH: - "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - properties: - BIZ_BRANCH : - type: object - description: |+ - Business Branches with following children: - ADDR_BUILDING - ADDR_POSTCODE - ADDR_ADDRESS1 - example: - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - properties: - ADDR_BUILDING: - type: string - description: Building Name - example: - ADDR_POSTCODE: - type: string - description: Postcode - example: 289848 - ADDR_ADDRESS1: - type: string - description: Address - example: 251A ARCADIA ROAD - LIST_REG_CHARGES: - type: array - description: |+ - List of Registered Charges with following children: - [REG_CHARGES] - example: - LIST_REG_CHARGES: - "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean - REG_CHARGES: - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '0.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - items: - properties: - REG_CHARGES : - type: object - description: |+ - Registered Charges details with following children: - CHARGE_NO - CHARGE_DATE - CHARGEE_COMP - CURRENCY - AMT_SECURED - STATUS_SATISFACTION - example: - REG_CHARGES: - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '0.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - properties: - CHARGE_NO : - type: string - description: Charge No. - example: 8205117 - CHARGE_DATE: - type: string - description: Charge Date - example: 26/11/1982 - CHARGEE_COMP: - type: string - description: Charges Company - example: UNITED OVERSEAS BANK LIMITED - CURRENCY: - type: string - description: Currency - example: - AMT_SECURED: - type: string - description: Amount Secured - example: 0.00 - STATUS_SATISFACTION: - type: string - description: Status of Satisfaction - example: - LIST_LIQUIDATOR: - type: array - description: |+ - List of Liquidator / Receiver / Judicial Manager with following children: - [LIQUIDATOR] - example: - LIST_LIQUIDATOR: - LIQUIDATOR: - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - items: - properties: - LIQUIDATOR : - type: object - description: |+ - Liquidator details with following children: - LIQ_POSITION - LIQ_ID - LIQ_NAME - LIQ_COMP - LIQ_ADDRESS1 - LIQ_ADDRESS2 - LIQ_ADDRESS3 - LIQ_ADDRESS4 - LIQ_APPOINTMENT_DATE - example: - LIQUIDATOR: - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - properties: - LIQ_POSITION: - type: string - description: Liquidator / Receiver / Judicial Manager Position - example: Liquidator - LIQ_ID: - type: string - description: Liquidator / Receiver / Judicial Manager ID - example: S1676216D - LIQ_NAME : - type: string - description: Liquidator / Receiver / Judicial Manager Name - example: ABUTHAHIR ABDUL GAFOOR - LIQ_COMP: - type: string - description: Liquidator / Receiver / Judicial Manager Company Name - example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: - type: string - description: Liquidator / Receiver / Judicial Manager Address 1 - example: 1 RAFFLES PLACE - LIQ_ADDRESS2: - type: string - description: Liquidator / Receiver / Judicial Manager Address 2 - example: #20-01 - LIQ_ADDRESS3: - type: string - description: Liquidator / Receiver / Judicial Manager Address 3 - example: OUB CENTRE - LIQ_ADDRESS4: - type: string - description: Liquidator / Receiver / Judicial Manager Address 4 - example: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: - type: string - description: Liquidator / Receiver / Judicial Manager Appointment Date - example: 30/03/2009 - LIST_SHARE_INTEREST_COMP : - type: array - description: |+ - List of Share Interest In Companies with following children: - [SHARE_INTEREST_COMP] - example: - LIST_SHARE_INTEREST_COMP: - "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean - SHARE_INTEREST_COMP: - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - items: - properties: - SHARE_INTEREST_COMP : - type: object - description: |+ - Share Interest In Companies details with following children: - COMP_NAME - SHARE_OWNED_UNIT - SHARE_OWNED_PERCENT - STATUS - example: - SHARE_INTEREST_COMP: - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - properties: - COMP_NAME : - type: string - description: Company Name - example: ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT : - type: string - description: Shares Owned Unit - example: 500000 - SHARE_OWNED_PERCENT : - type: string - description: Shares Owned Value (%) - example: 100.00 - STATUS : - type: string - description: Status - example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE : - type: array - description: |+ - List of Change of Company/Business Name(s) with following children: - [NAME_CHANGE] - example: - LIST_NAME_CHANGE: - "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean - NAME_CHANGE: - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - items: - properties: - NAME_CHANGE : - type: object - description: |+ - Change of Company/Business Name(s) with following children: - PREV_NAME - EFFECT_DATE - example: - NAME_CHANGE: - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - properties: - PREV_NAME : - type: string - description: Previous Name - example: HUA XI EATING HOUSE - EFFECT_DATE : - type: string - description: Effective Date - example: 25/10/1997 00:00:00 - LIST_SHAREHOLDER : - type: array - description: |+ - List of Shareholders with following children: - [SHAREHOLDER] - example: - LIST_SHAREHOLDER: - "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean - SHAREHOLDER: - ADDRESS: - "@type": String - "#text": |- - 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, - SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": |- - KEPPEL COMMUNICATIONS PTE - LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - items: - properties: - SHAREHOLDER : - type: object - description: |+ - Shareholders details with following children: - ADDRESS - COMP_ID - NO_OF_SHARE - CURRENCY - SHAREHOLDER_TYPE - SHARE_TYPE - SHAREHOLDER_NAME - CHANGE_ADDR_DATE - ADDR_TYPE - NATIONALITY - example: - SHAREHOLDER: - ADDRESS: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - properties: - ADDRESS : - type: string - description: Address - example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID : - type: string - description: Company/ Identity No. - example: 198200406H - NO_OF_SHARE : - type: string - description: No. of Shares - example: 657 - CURRENCY : - type: string - description: Currency - example: UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE : - type: string - description: Indicator for Shareholder type - example: 2 - SHARE_TYPE : - type: string - description: Share Type - example: Preference - SHAREHOLDER_NAME : - type: string - description: Shareholder Name - example: KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 09/05/2003 - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE - LIST_CAPITAL : - type: array - description: |+ - List of Capital details with following children: - [CAPITAL] - example: - LIST_CAPITAL: - "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean - CAPITAL: - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - items: - properties: - CAPITAL : - type: object - description: |+ - Capital details with following children: - CAPITAL_CATEGORY - CAPITAL_TYPE - CURRENCY - CAPITAL_AMT - NO_OF_SHARES - example: - CAPITAL: - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - properties: - CAPITAL_CATEGORY : - type: string - description: Capital Category - example: Issued - CAPITAL_TYPE : - type: string - description: Capital Type - example: Ordinary - CURRENCY : - type: string - description: Currency - example: SINGAPORE, DOLLARS - CAPITAL_AMT : - type: string - description: Capital Amount - example: 100,000.00 - NO_OF_SHARES : - type: string - description: Nos. of Shares - example: 100,000 - LIST_OFFICER_OWNER : - type: array - description: |+ - List of Officer(s) / Owner(s) with following children: - [OFFICER_OWNER] - example: - LIST_OFFICER_OWNER: - "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean - OFFICER_OWNER: - ADDRESS: - "@type": String - "#text": |- - 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, - SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - items: - properties: - OFFICER_OWNER : - type: object - description: |+ - Officer(s) / Owner(s) details with following children: - ADDRESS - IDENTITY_ID - PA_REG_NO - POSITION - ADDR_TYPE - CESSATION_DATE - OFFICER_NAME - CHANGE_ADDR_DATE - APPMT_DATE - NATIONALITY - example: - OFFICER_OWNER: - ADDRESS: - "@type": String - "#text": |- - 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, - SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - properties: - ADDRESS : - type: string - description: Address - example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE - IDENTITY_ID : - type: string - description: Identity No. - example: S1674174D - PA_REG_NO : - type: string - description: Public Accountant Registration No. - example: 00091 - POSITION : - type: string - description: Position - example: DIRECTOR - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: S - CESSATION_DATE : - type: string - description: Cessation Date - example: 30/10/2003 - OFFICER_NAME : - type: string - description: Officer Name - example: HENRY GOH - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 30/10/2003 - APPMT_DATE : - type: string - description: Appointment Date - example: 30/10/2003 - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT : - type: array - description: |+ - List of Sales Revenue Amount with following children: - [SALES_REVENUE_AMOUNT] - example: - LIST_SALES_REVENUE_AMOUNT: - SALES_REVENUE_AMOUNT: - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - items: - properties: - SALES_REVENUE_AMOUNT : - type: object - description: |+ - Sales Revenue Amount details with following children: - ELEMENTS - YEAR - CURRENCY - AMOUNT - example: - SALES_REVENUE_AMOUNT: - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - properties: - ELEMENTS : - type: string - description: Description - example: Sales Revenue Amount - YEAR : - type: integer - description: Year - example: 2008 - CURRENCY : - type: string - description: Currency - example: SGD - AMOUNT : - type: integer - description: Amount - example: 30000.00 - LIST_Ddrptcount : - type: array - description: |+ - List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: - [Ddrptcount] - example: - items: - properties: - Ddrptcount : - type: object - description: |+ - 6 XML tags (open then close) displays - Search By Financial Sectors (counts for 3 recent years) - Search By Non- Financial Sectors (counts for 3 recent years) - Following children are: - Rcyear - RcFlag (only respond for the year exists) - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) - Rcsecflag - LastUpdateDate (only respond for the year exists) - example: - properties: - Rcyear : - type: string - description: To show the year - example: 2017 - RcFlag : - type: string - description: Internal database value - example: N/A - Rcjan : - type: integer - description: Count for January - example: 1 - Rcfeb : - type: integer - description: Count for February - example: 1 - Rcmar : - type: integer - description: Count for March - example: 1 - Rcapr : - type: integer - description: Count for April - example: 1 - Rcmay : - type: integer - description: Count for May - example: 1 - Rcjun : - type: integer - description: Count for June - example: 1 - Rcjul : - type: integer - description: Count for July - example: 1 - Rcaug : - type: integer - description: Count for August - example: 1 - Rcsep : - type: integer - description: Count for September - example: 1 - Rcoct : - type: integer - description: Count for October - example: 1 - Rcnov : - type: integer - description: Count for November - example: 1 - Rcdec : - type: integer - description: Count for December - example: 1 - Rcid : - type: integer - description: Internal database value - example: - Rcreg : - type: string - description: Company Registration Number - example: - Rcrptyid : - type: string - description: Product Type - example: - Rcsecflag : - type: integer - description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: 1 - LastUpdateDate : - type: string - description: Last update date - example: - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: - total_items: - type: integer - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - subject_idno: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - subject_name: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json Format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: D&B Business Check (SG) + description: |+ + This Data microservice provides key business information of a Singapore-registered company that includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels. + - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more. + - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements. + - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime. + - It can also be used for finance-related domains such as vehicle leasing, loans, enterprise credit terms and so on. Updated daily. + version: '1.0.0' + x-subscribelink: d&b_business_check_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides key business information of a Singapore-registered company. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 15, 2021" +paths: + /microservices/data/sbc/v1/getdata: + post: + tags: + - v1.0.0 + summary: Adds a new user + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + success: + report: + meta_info: + service: string + system_id: string + creation_date: string + user_id: string + class: string + req_search_info: + comp_name: string + reg_no: string + req_date: string + req_reg_no: string + req_name: string + req_date_str: string + registry_detail: + comp_name: string + renewal_date: string + address1: string + address2: string + address3: string + address4: string + comp_type_code: string + reg_date: string + reg_activity1: string + reg_activity2: string + acc_date: string + status_effect_date: string + name_effect_date: string + expiry_date: string + comp_type: string + change_addr_date: string + comp_status: string + reg_activity_desc1: string + reg_activity_desc2: string + auditor: string + auditor_appmt_date: string + last_ar_date: string + last_agm_date: string + country_incorp: string + employee_size: + elements: string + amount: string + list_biz_branch: + biz_branch: + addr_building: string + addr_postcode: string + addr_address1: string + list_reg_charges: + reg_charges: + charge_no: string + charge_date: string + chargee_comp: string + currency: string + amt_secured: string + status_satisfaction: string + list_liquidator: + liquidator: + liq_name: string + liq_id: string + liq_position: string + liq_comp: string + liq_address1: string + liq_address2: string + liq_address3: string + liq_address4: string + liq_appointment_date: string + list_sales_revenue_amount: + sales_revenue_amount: + elements: string + year: string + currency: string + amount: '0' + list_shareholder: + shareholder: + address: string + comp_id: string + no_of_share: string + currency: string + shareholder_type: string + share_type: string + shareholder_name: string + change_addr_date: string + addr_type: string + nationality: string + list_share_interest_comp: + share_interest_comp: + comp_name: string + share_owned_unit: string + share_owned_percent: string + status: string + list_officer_owner: + officer_owner: + address: string + identity_id: string + position: string + addr_type: string + cessation_date: string + officer_name: string + change_addr_date: string + appmt_date: string + nationality: string + list_capital: + capital: + capital_category: string + capital_type: string + currency: string + capital_amt: string + no_of_shares: string + list_name_change: + name_change: + prev_name: string + effect_date: string + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] + properties: + META_INFO: + type: object + example: + META_INFO: + SERVICE: + "@type": String + "#text": BC + SYSTEM_ID: + "@type": String + "#text": DDP + CREATION_DATE: + "@type": Date + "#text": Wed Apr 08 11:37:51 MYT 2009 + USER_ID: + "@type": String + "#text": plcust102 + CLASS: + "@type": String + "#text": class com.technodex.ddp.xmlbean.MetaBean + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS + properties: + SERVICE: + type: string + description: Report requested + example: "BC" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: datetime + description: Report request date + example: "Wed Apr 08 11:37:51 MYT 2009" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: "N/A" + CLASS: + type: string + description: Class location for metabean. It is for (For internal use) + example: "N/A" + REGISTRY_DETAIL : + type: object + example: + REGISTRY_DETAIL: + "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean + RENEWAL_DATE: + "@type": String + "#text": 23/12/2008 + ADDRESS1: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01 + ADDRESS2: + "@type": String + "#text": KEPPEL BAY TOWER + ADDRESS3: + "@type": String + "#text": '098632' + ADDRESS4: + "@type": String + "#text": SINGAPORE + COMP_TYPE_CODE: + "@type": String + "#text": CP + REG_DATE: + "@type": String + "#text": 14/10/1974 + REG_ACTIVITY1: + "@type": String + "#text": OTHER INVESTMENT HOLDING COMPANIES + REG_ACTIVITY2: + "@type": String + "#text": SHIP MANAGEMENT SERVICES + ACC_DATE: + "@type": String + "#text": 31/12/2007 + STATUS_EFFECT_DATE: + "@type": String + "#text ": 14/10/1974 + NAME_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + EXPIRY_DATE: + "@type": String + "#text": 25/10/2009 + COMP_TYPE: + "@type": String + "#text": LIMITED PRIVATE COMPANY + CHANGE_ADDR_DATE: + "@type": String + "#text": '09 / 05 / 2003' + COMP_STATUS: + "@type": String + "#text": Live Company + REG_ACTIVITY_DESC1: + "@type": String + "#text": " - " + REG_ACTIVITY_DESC2: + "@type": String + "#text": " - " + AUDITOR: + "@type": String + "#text": " - " + AUDITOR_APPMT_DATE: + "@type": String + "#text": 13/06/1990 + LAST_AR_DATE: + "@type": String + "#text": 30/06/2008 + LAST_AGM_DATE: + "@type": String + "#text": 11/06/2008 + COUNTRY_INCORP: + "@type": String + "#text": SINGAPORE + description: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP + properties: + RENEWAL_DATE: + type: string + description: Renewal Date + example: "23/12/2008" + ADDRESS1: + type: string + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" + ADDRESS2: + type: string + description: Address Line 2 + example: "KEPPEL BAY TOWER" + ADDRESS3: + type: string + description: Address Line 3 + example: "098632" + ADDRESS4: + type: string + description: Address Line 4 + example: "SINGAPORE" + COMP_TYPE_CODE: + type: string + example: CP + description: |+ + Report Code. Available values are: + 1. CP Corporate + 2. SP Sole Proprietor + REG_DATE: + type: string + description: Registration Date + example: "14/10/1974" + REG_ACTIVITY1: + type: string + description: Registered Activities 1 + example: "OTHER INVESTMENT HOLDING COMPANIES" + REG_ACTIVITY2: + type: string + description: Registered Activities 2 + example: "SHIP MANAGEMENT SERVICES" + ACC_DATE: + type: string + description: Account Date + example: "31/12/2007" + STATUS_EFFECT_DATE: + type: string + description: Status Effective Date + example: "14/10/1974" + NAME_EFFECT_DATE: + type: string + description: Name Effective Date + example: "14/10/1974" + EXPIRY_DATE: + type: string + description: Expiry Date + example: "25/10/2009" + COMP_TYPE: + type: string + description: Company Type + example: "LIMITED PRIVATE COMPANY" + CHANGE_ADDR_DATE: + type: string + description: Change Address Date + example: "09/05/2003" + COMP_STATUS: + type: string + description: Company Status + example: "Live Company" + REG_ACTIVITY_DESC1: + type: string + description: Registered Activities Description + example: + REG_ACTIVITY_DESC2: + type: string + description: Registered Activities Description + example: + AUDITOR: + type: string + description: Auditor Name + example: + AUDITOR_APPMT_DATE: + type: string + description: Auditor Appointment Date + example: "13/06/1990" + LAST_AR_DATE: + type: string + description: Date of Last AR + example: "30/06/2008" + LAST_AGM_DATE: + type: string + description: Date of Last AGM + example: "11/06/2008" + COUNTRY_INCORP: + type: string + description: Country Incorporated + example: "SINGAPORE" + REQ_SEARCH_INFO : + type: object + example: + REQ_SEARCH_INFO: + "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean + COMP_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REG_NO: + "@type": String + "#text": 197401835M + REQ_DATE: + "@type": Date + "#text": '2009-04-08 11:36:03.611' + REQ_REG_NO: + "@type": String + "#text": 197401835M + REQ_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REQ_DATE_STR: + "@type": String + "#text": '08/04/2009 11:36:03' + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REG_NO: + type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "197401835M" + REQ_DATE: + type: string + description: Report Requested Date + example: "2009-04-08 11:36:03.611" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197401835M" + REQ_NAME: + type: string + description: Request Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REQ_DATE_STR: + type: string + description: Request Date String + example: "08/04/2009 11:36:03" + EMPLOYEE_SIZE : + type: object + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: + EMPLOYEE_SIZE: + ELEMENTS: Employee Size + AMOUNT: '300' + properties: + ELEMENTS: + type: string + description: Description + example: "Employee Size" + AMOUNT: + type: string + description: Number of employee + example: "300" + LIST_BIZ_BRANCH : + type: array + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: + LIST_BIZ_BRANCH: + "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD + LIST_REG_CHARGES: + type: array + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: + LIST_REG_CHARGES: + "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean + REG_CHARGES: + CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '0.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + items: + properties: + REG_CHARGES : + type: object + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: + REG_CHARGES: + CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '0.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + properties: + CHARGE_NO : + type: string + description: Charge No. + example: 8205117 + CHARGE_DATE: + type: string + description: Charge Date + example: 26/11/1982 + CHARGEE_COMP: + type: string + description: Charges Company + example: UNITED OVERSEAS BANK LIMITED + CURRENCY: + type: string + description: Currency + example: + AMT_SECURED: + type: string + description: Amount Secured + example: 0.00 + STATUS_SATISFACTION: + type: string + description: Status of Satisfaction + example: + LIST_LIQUIDATOR: + type: array + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: + LIST_LIQUIDATOR: + LIQUIDATOR: + LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + items: + properties: + LIQUIDATOR : + type: object + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE + example: + LIQUIDATOR: + LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + properties: + LIQ_POSITION: + type: string + description: Liquidator / Receiver / Judicial Manager Position + example: Liquidator + LIQ_ID: + type: string + description: Liquidator / Receiver / Judicial Manager ID + example: S1676216D + LIQ_NAME : + type: string + description: Liquidator / Receiver / Judicial Manager Name + example: ABUTHAHIR ABDUL GAFOOR + LIQ_COMP: + type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: + type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: 1 RAFFLES PLACE + LIQ_ADDRESS2: + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: #20-01 + LIQ_ADDRESS3: + type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: OUB CENTRE + LIQ_ADDRESS4: + type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: 30/03/2009 + LIST_SHARE_INTEREST_COMP : + type: array + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: + LIST_SHARE_INTEREST_COMP: + "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean + SHARE_INTEREST_COMP: + COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: + SHARE_INTEREST_COMP: + COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + properties: + COMP_NAME : + type: string + description: Company Name + example: ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: 500000 + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: 100.00 + STATUS : + type: string + description: Status + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: + LIST_NAME_CHANGE: + "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean + NAME_CHANGE: + PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: + NAME_CHANGE: + PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + properties: + PREV_NAME : + type: string + description: Previous Name + example: HUA XI EATING HOUSE + EFFECT_DATE : + type: string + description: Effective Date + example: 25/10/1997 00:00:00 + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: + LIST_SHAREHOLDER: + "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean + SHAREHOLDER: + ADDRESS: + "@type": String + "#text": |- + 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, + SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": |- + KEPPEL COMMUNICATIONS PTE + LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + items: + properties: + SHAREHOLDER : + type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: + SHAREHOLDER: + ADDRESS: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + properties: + ADDRESS : + type: string + description: Address + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID : + type: string + description: Company/ Identity No. + example: 198200406H + NO_OF_SHARE : + type: string + description: No. of Shares + example: 657 + CURRENCY : + type: string + description: Currency + example: UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE : + type: string + description: Indicator for Shareholder type + example: 2 + SHARE_TYPE : + type: string + description: Share Type + example: Preference + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 09/05/2003 + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: + LIST_CAPITAL: + "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean + CAPITAL: + CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: + CAPITAL: + CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: Issued + CAPITAL_TYPE : + type: string + description: Capital Type + example: Ordinary + CURRENCY : + type: string + description: Currency + example: SINGAPORE, DOLLARS + CAPITAL_AMT : + type: string + description: Capital Amount + example: 100,000.00 + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: 100,000 + LIST_OFFICER_OWNER : + type: array + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: + LIST_OFFICER_OWNER: + "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean + OFFICER_OWNER: + ADDRESS: + "@type": String + "#text": |- + 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, + SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + items: + properties: + OFFICER_OWNER : + type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: + OFFICER_OWNER: + ADDRESS: + "@type": String + "#text": |- + 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, + SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + properties: + ADDRESS : + type: string + description: Address + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE + IDENTITY_ID : + type: string + description: Identity No. + example: S1674174D + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: 00091 + POSITION : + type: string + description: Position + example: DIRECTOR + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: S + CESSATION_DATE : + type: string + description: Cessation Date + example: 30/10/2003 + OFFICER_NAME : + type: string + description: Officer Name + example: HENRY GOH + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 30/10/2003 + APPMT_DATE : + type: string + description: Appointment Date + example: 30/10/2003 + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: + LIST_SALES_REVENUE_AMOUNT: + SALES_REVENUE_AMOUNT: + ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: + SALES_REVENUE_AMOUNT: + ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + properties: + ELEMENTS : + type: string + description: Description + example: Sales Revenue Amount + YEAR : + type: integer + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: integer + description: Amount + example: 30000.00 + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: integer + description: Count for January + example: 1 + Rcfeb : + type: integer + description: Count for February + example: 1 + Rcmar : + type: integer + description: Count for March + example: 1 + Rcapr : + type: integer + description: Count for April + example: 1 + Rcmay : + type: integer + description: Count for May + example: 1 + Rcjun : + type: integer + description: Count for June + example: 1 + Rcjul : + type: integer + description: Count for July + example: 1 + Rcaug : + type: integer + description: Count for August + example: 1 + Rcsep : + type: integer + description: Count for September + example: 1 + Rcoct : + type: integer + description: Count for October + example: 1 + Rcnov : + type: integer + description: Count for November + example: 1 + Rcdec : + type: integer + description: Count for December + example: 1 + Rcid : + type: integer + description: Internal database value + example: + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: Product Type + example: + Rcsecflag : + type: integer + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: string + description: Last update date + example: + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + total_items: + type: integer + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + subject_idno: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + subject_name: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json Format + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/d&b_business_check_sg_v0.1.yaml b/data/d&b_business_check_sg_v0.1.yaml index 91ee92bc6..39fdf3065 100644 --- a/data/d&b_business_check_sg_v0.1.yaml +++ b/data/d&b_business_check_sg_v0.1.yaml @@ -1,1164 +1,1166 @@ -openapi: 3.0.1 -info: - title: D&B Business Check (SG) - description: |+ - This Data microservice provides key business information of a Singapore-registered company and includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels. - - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more. - - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements. - - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime. - - It can also be used for finance-related domains such as vehicle leasing, loans, enterprise credit terms and so on. Updated daily. - version: '0.1.0' - x-subscribelink: d&b_business_check_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 15, 2019" -paths: - /dnb/prod/sbc: - post: - tags: - - v0.1.0 - summary: Adds a new user - requestBody: - content: - application/xml: - schema: - $ref: '#/components/schemas/REQUEST' - responses: - '200': - description: Ok - content: - application/xml: - schema: - $ref: '#/components/schemas/success' - example: |+ - string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string 0
string
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string
- - string string string string string string string string string string string string string string string - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [REGISTRY_DETAIL] - [REQ_SEARCH_INFO] - [EMPLOYEE_SIZE] - [LIST_BIZ_BRANCH] - [LIST_REG_CHARGES] - [LIST_LIQUIDATOR] - [LIST_SHARE_INTEREST_COMP] - [LIST_NAME_CHANGE] - [LIST_SHAREHOLDER] - [LIST_CAPITAL] - [LIST_OFFICER_OWNER] - [LIST_SALES_REVENUE_AMOUNT] - properties: - META_INFO: - type: object - example: |+ - - - - - - - - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - CLASS - properties: - SERVICE: - type: string - description: Report requested - example: "BC" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: datetime - description: Report request date - example: "Wed Apr 08 11:37:51 MYT 2009" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: "N/A" - CLASS: - type: string - description: Class location for metabean. It is for (For internal use) - example: "N/A" - REGISTRY_DETAIL : - type: object - example: |+ - - - - - - - - - - - - - - - - - - - - - - - - - - description: |+ - Registry Details with following children: - RENEWAL_DATE - ADDRESS1 - ADDRESS2 - ADDRESS3 - ADDRESS4 - COMP_TYPE_CODE - REG_DATE - REG_ACTIVITY1 - REG_ACTIVITY2 - ACC_DATE - STATUS_EFFECT_DATE - NAME_EFFECT_DATE - EXPIRY_DATE - COMP_TYPE - CHANGE_ADDR_DATE - COMP_STATUS - REG_ACTIVITY_DESC1 - REG_ACTIVITY_DESC2 - AUDITOR - AUDITOR_APPMT_DATE - LAST_AR_DATE - LAST_AGM_DATE - COUNTRY_INCORP - properties: - RENEWAL_DATE: - type: string - description: Renewal Date - example: "23/12/2008" - ADDRESS1: - type: string - description: Address Line 1 - example: "1 HARBOURFRONT AVENUE , 18 - 01" - ADDRESS2: - type: string - description: Address Line 2 - example: "KEPPEL BAY TOWER" - ADDRESS3: - type: string - description: Address Line 3 - example: "098632" - ADDRESS4: - type: string - description: Address Line 4 - example: "SINGAPORE" - COMP_TYPE_CODE: - type: string - example: CP - description: |+ - Report Code. Available values are: - 1. CP Corporate - 2. SP Sole Proprietor - REG_DATE: - type: string - description: Registration Date - example: "14/10/1974" - REG_ACTIVITY1: - type: string - description: Registered Activities 1 - example: "OTHER INVESTMENT HOLDING COMPANIES" - REG_ACTIVITY2: - type: string - description: Registered Activities 2 - example: "SHIP MANAGEMENT SERVICES" - ACC_DATE: - type: string - description: Account Date - example: "31/12/2007" - STATUS_EFFECT_DATE: - type: string - description: Status Effective Date - example: "14/10/1974" - NAME_EFFECT_DATE: - type: string - description: Name Effective Date - example: "14/10/1974" - EXPIRY_DATE: - type: string - description: Expiry Date - example: "25/10/2009" - COMP_TYPE: - type: string - description: Company Type - example: "LIMITED PRIVATE COMPANY" - CHANGE_ADDR_DATE: - type: string - description: Change Address Date - example: "09/05/2003" - COMP_STATUS: - type: string - description: Company Status - example: "Live Company" - REG_ACTIVITY_DESC1: - type: string - description: Registered Activities Description - example: - REG_ACTIVITY_DESC2: - type: string - description: Registered Activities Description - example: - AUDITOR: - type: string - description: Auditor Name - example: - AUDITOR_APPMT_DATE: - type: string - description: Auditor Appointment Date - example: "13/06/1990" - LAST_AR_DATE: - type: string - description: Date of Last AR - example: "30/06/2008" - LAST_AGM_DATE: - type: string - description: Date of Last AGM - example: "11/06/2008" - COUNTRY_INCORP: - type: string - description: Country Incorporated - example: "SINGAPORE" - REQ_SEARCH_INFO : - type: object - example: |+ - - - - - - - - - description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REG_NO: - type: string - description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "197401835M" - REQ_DATE: - type: string - description: Report Requested Date - example: "2009-04-08 11:36:03.611" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197401835M" - REQ_NAME: - type: string - description: Request Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REQ_DATE_STR: - type: string - description: Request Date String - example: "08/04/2009 11:36:03" - EMPLOYEE_SIZE : - type: object - description: |+ - Employee Size details with following children: - ELEMENTS - AMOUNT - example: |+ - - - 300 - - properties: - ELEMENTS: - type: string - description: Description - example: "Employee Size" - AMOUNT: - type: string - description: Number of employee - example: "300" - LIST_BIZ_BRANCH : - type: array - description: |+ - List of Business Branches with following children: - [BIZ_BRANCH] - example: |+ - - - - - - - properties: - BIZ_BRANCH : - type: object - description: |+ - Business Branches with following children: - ADDR_BUILDING - ADDR_POSTCODE - ADDR_ADDRESS1 - example: |+ - - - - - - properties: - ADDR_BUILDING: - type: string - description: Building Name - example: - ADDR_POSTCODE: - type: string - description: Postcode - example: 289848 - ADDR_ADDRESS1: - type: string - description: Address - example: 251A ARCADIA ROAD - LIST_REG_CHARGES: - type: array - description: |+ - List of Registered Charges with following children: - [REG_CHARGES] - example: |+ - - - - - - - - - - - items: - properties: - REG_CHARGES : - type: object - description: |+ - Registered Charges details with following children: - CHARGE_NO - CHARGE_DATE - CHARGEE_COMP - CURRENCY - AMT_SECURED - STATUS_SATISFACTION - example: |+ - - - - - - - - - properties: - CHARGE_NO : - type: string - description: Charge No. - example: 8205117 - CHARGE_DATE: - type: string - description: Charge Date - example: 26/11/1982 - CHARGEE_COMP: - type: string - description: Charges Company - example: UNITED OVERSEAS BANK LIMITED - CURRENCY: - type: string - description: Currency - example: - AMT_SECURED: - type: string - description: Amount Secured - example: 0.00 - STATUS_SATISFACTION: - type: string - description: Status of Satisfaction - example: - LIST_LIQUIDATOR: - type: array - description: |+ - List of Liquidator / Receiver / Judicial Manager with following children: - [LIQUIDATOR] - example: |+ - - - ABUTHAHIR ABDUL GAFOOR S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 - OUB CENTRE SINGAPORE 048616 30/03/2009 - - - items: - properties: - LIQUIDATOR : - type: object - description: |+ - Liquidator details with following children: - LIQ_POSITION - LIQ_ID - LIQ_NAME - LIQ_COMP - LIQ_ADDRESS1 - LIQ_ADDRESS2 - LIQ_ADDRESS3 - LIQ_ADDRESS4 - LIQ_APPOINTMENT_DATE - example: |+ - - ABUTHAHIR ABDUL GAFOOR - S1676216D - Liquidator - EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - 1 RAFFLES PLACE - #20-01 - OUB CENTRE - SINGAPORE 048616 - 30/03/2009 - - properties: - LIQ_POSITION: - type: string - description: Liquidator / Receiver / Judicial Manager Position - example: Liquidator - LIQ_ID: - type: string - description: Liquidator / Receiver / Judicial Manager ID - example: S1676216D - LIQ_NAME : - type: string - description: Liquidator / Receiver / Judicial Manager Name - example: ABUTHAHIR ABDUL GAFOOR - LIQ_COMP: - type: string - description: Liquidator / Receiver / Judicial Manager Company Name - example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: - type: string - description: Liquidator / Receiver / Judicial Manager Address 1 - example: 1 RAFFLES PLACE - LIQ_ADDRESS2: - type: string - description: Liquidator / Receiver / Judicial Manager Address 2 - example: #20-01 - LIQ_ADDRESS3: - type: string - description: Liquidator / Receiver / Judicial Manager Address 3 - example: OUB CENTRE - LIQ_ADDRESS4: - type: string - description: Liquidator / Receiver / Judicial Manager Address 4 - example: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: - type: string - description: Liquidator / Receiver / Judicial Manager Appointment Date - example: 30/03/2009 - LIST_SHARE_INTEREST_COMP : - type: array - description: |+ - List of Share Interest In Companies with following children: - [SHARE_INTEREST_COMP] - example: |+ - - - - - - - - - items: - properties: - SHARE_INTEREST_COMP : - type: object - description: |+ - Share Interest In Companies details with following children: - COMP_NAME - SHARE_OWNED_UNIT - SHARE_OWNED_PERCENT - STATUS - example: |+ - - - - - - - properties: - COMP_NAME : - type: string - description: Company Name - example: ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT : - type: string - description: Shares Owned Unit - example: 500000 - SHARE_OWNED_PERCENT : - type: string - description: Shares Owned Value (%) - example: 100.00 - STATUS : - type: string - description: Status - example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE : - type: array - description: |+ - List of Change of Company/Business Name(s) with following children: - [NAME_CHANGE] - example: |+ - - - - - - - items: - properties: - NAME_CHANGE : - type: object - description: |+ - Change of Company/Business Name(s) with following children: - PREV_NAME - EFFECT_DATE - example: |+ - - - - - properties: - PREV_NAME : - type: string - description: Previous Name - example: HUA XI EATING HOUSE - EFFECT_DATE : - type: string - description: Effective Date - example: 25/10/1997 00:00:00 - LIST_SHAREHOLDER : - type: array - description: |+ - List of Shareholders with following children: - [SHAREHOLDER] - example: |+ - - -
- - - - - - - - - - items: - properties: - SHAREHOLDER : - type: object - description: |+ - Shareholders details with following children: - ADDRESS - COMP_ID - NO_OF_SHARE - CURRENCY - SHAREHOLDER_TYPE - SHARE_TYPE - SHAREHOLDER_NAME - CHANGE_ADDR_DATE - ADDR_TYPE - NATIONALITY - example: |+ - -
- - - - - - - - - - - properties: - ADDRESS : - type: string - description: Address - example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID : - type: string - description: Company/ Identity No. - example: 198200406H - NO_OF_SHARE : - type: string - description: No. of Shares - example: 657 - CURRENCY : - type: string - description: Currency - example: UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE : - type: string - description: Indicator for Shareholder type - example: 2 - SHARE_TYPE : - type: string - description: Share Type - example: Preference - SHAREHOLDER_NAME : - type: string - description: Shareholder Name - example: KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 09/05/2003 - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE - LIST_CAPITAL : - type: array - description: |+ - List of Capital details with following children: - [CAPITAL] - example: |+ - - - - - - - - - - items: - properties: - CAPITAL : - type: object - description: |+ - Capital details with following children: - CAPITAL_CATEGORY - CAPITAL_TYPE - CURRENCY - CAPITAL_AMT - NO_OF_SHARES - example: |+ - - - - - - - - properties: - CAPITAL_CATEGORY : - type: string - description: Capital Category - example: Issued - CAPITAL_TYPE : - type: string - description: Capital Type - example: Ordinary - CURRENCY : - type: string - description: Currency - example: SINGAPORE, DOLLARS - CAPITAL_AMT : - type: string - description: Capital Amount - example: 100,000.00 - NO_OF_SHARES : - type: string - description: Nos. of Shares - example: 100,000 - LIST_OFFICER_OWNER : - type: array - description: |+ - List of Officer(s) / Owner(s) with following children: - [OFFICER_OWNER] - example: |+ - - -
- - - - - - - - items: - properties: - OFFICER_OWNER : - type: object - description: |+ - Officer(s) / Owner(s) details with following children: - ADDRESS - IDENTITY_ID - PA_REG_NO - POSITION - ADDR_TYPE - CESSATION_DATE - OFFICER_NAME - CHANGE_ADDR_DATE - APPMT_DATE - NATIONALITY - example: |+ - -
- - - - - - - - - - properties: - ADDRESS : - type: string - description: Address - example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE - IDENTITY_ID : - type: string - description: Identity No. - example: S1674174D - PA_REG_NO : - type: string - description: Public Accountant Registration No. - example: 00091 - POSITION : - type: string - description: Position - example: DIRECTOR - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: S - CESSATION_DATE : - type: string - description: Cessation Date - example: 30/10/2003 - OFFICER_NAME : - type: string - description: Officer Name - example: HENRY GOH - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 30/10/2003 - APPMT_DATE : - type: string - description: Appointment Date - example: 30/10/2003 - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT : - type: array - description: |+ - List of Sales Revenue Amount with following children: - [SALES_REVENUE_AMOUNT] - example: |+ - - - 30000.00 - - - items: - properties: - SALES_REVENUE_AMOUNT : - type: object - description: |+ - Sales Revenue Amount details with following children: - ELEMENTS - YEAR - CURRENCY - AMOUNT - example: |+ - - - - - 30000.00 - - properties: - ELEMENTS : - type: string - description: Description - example: Sales Revenue Amount - YEAR : - type: integer - description: Year - example: 2008 - CURRENCY : - type: string - description: Currency - example: SGD - AMOUNT : - type: integer - description: Amount - example: 30000.00 - LIST_Ddrptcount : - type: array - description: |+ - List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: - [Ddrptcount] - example: - items: - properties: - Ddrptcount : - type: object - description: |+ - 6 XML tags (open then close) displays - Search By Financial Sectors (counts for 3 recent years) - Search By Non- Financial Sectors (counts for 3 recent years) - Following children are: - Rcyear - RcFlag (only respond for the year exists) - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) - Rcsecflag - LastUpdateDate (only respond for the year exists) - example: - properties: - Rcyear : - type: string - description: To show the year - example: 2017 - RcFlag : - type: string - description: Internal database value - example: N/A - Rcjan : - type: integer - description: Count for January - example: 1 - Rcfeb : - type: integer - description: Count for February - example: 1 - Rcmar : - type: integer - description: Count for March - example: 1 - Rcapr : - type: integer - description: Count for April - example: 1 - Rcmay : - type: integer - description: Count for May - example: 1 - Rcjun : - type: integer - description: Count for June - example: 1 - Rcjul : - type: integer - description: Count for July - example: 1 - Rcaug : - type: integer - description: Count for August - example: 1 - Rcsep : - type: integer - description: Count for September - example: 1 - Rcoct : - type: integer - description: Count for October - example: 1 - Rcnov : - type: integer - description: Count for November - example: 1 - Rcdec : - type: integer - description: Count for December - example: 1 - Rcid : - type: integer - description: Internal database value - example: - Rcreg : - type: string - description: Company Registration Number - example: - Rcrptyid : - type: string - description: Product Type - example: - Rcsecflag : - type: integer - description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: 1 - LastUpdateDate : - type: string - description: Last update date - example: - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - REQUEST: - type: object - properties: - TOT_ITEMS: - type: integer - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - ENQUIRY: - type: object - example: |+ - 197601887ETRANSTAR TRAVEL PTE LTD - description: Contains information of each request details - default: true - properties: - SUBJECT_IDNO: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - SUBJECT_NAME: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json Format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: D&B Business Check (SG) + description: |+ + This Data microservice provides key business information of a Singapore-registered company and includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels. + - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more. + - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements. + - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime. + - It can also be used for finance-related domains such as vehicle leasing, loans, enterprise credit terms and so on. Updated daily. + version: '0.1.0' + x-subscribelink: d&b_business_check_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides key business information of a Singapore-registered company. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 15, 2019" +paths: + /dnb/prod/sbc: + post: + tags: + - v0.1.0 + summary: Adds a new user + requestBody: + content: + application/xml: + schema: + $ref: '#/components/schemas/REQUEST' + responses: + '200': + description: Ok + content: + application/xml: + schema: + $ref: '#/components/schemas/success' + example: |+ + string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string string 0
string
+ string string string string string string string string string string string string string
string
+ + string string string string string string string string string string string string string string string + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] + properties: + META_INFO: + type: object + example: |+ + + + + + + + + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS + properties: + SERVICE: + type: string + description: Report requested + example: "BC" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: datetime + description: Report request date + example: "Wed Apr 08 11:37:51 MYT 2009" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: "N/A" + CLASS: + type: string + description: Class location for metabean. It is for (For internal use) + example: "N/A" + REGISTRY_DETAIL : + type: object + example: |+ + + + + + + + + + + + + + + + + + + + + + + + + + + description: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP + properties: + RENEWAL_DATE: + type: string + description: Renewal Date + example: "23/12/2008" + ADDRESS1: + type: string + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" + ADDRESS2: + type: string + description: Address Line 2 + example: "KEPPEL BAY TOWER" + ADDRESS3: + type: string + description: Address Line 3 + example: "098632" + ADDRESS4: + type: string + description: Address Line 4 + example: "SINGAPORE" + COMP_TYPE_CODE: + type: string + example: CP + description: |+ + Report Code. Available values are: + 1. CP Corporate + 2. SP Sole Proprietor + REG_DATE: + type: string + description: Registration Date + example: "14/10/1974" + REG_ACTIVITY1: + type: string + description: Registered Activities 1 + example: "OTHER INVESTMENT HOLDING COMPANIES" + REG_ACTIVITY2: + type: string + description: Registered Activities 2 + example: "SHIP MANAGEMENT SERVICES" + ACC_DATE: + type: string + description: Account Date + example: "31/12/2007" + STATUS_EFFECT_DATE: + type: string + description: Status Effective Date + example: "14/10/1974" + NAME_EFFECT_DATE: + type: string + description: Name Effective Date + example: "14/10/1974" + EXPIRY_DATE: + type: string + description: Expiry Date + example: "25/10/2009" + COMP_TYPE: + type: string + description: Company Type + example: "LIMITED PRIVATE COMPANY" + CHANGE_ADDR_DATE: + type: string + description: Change Address Date + example: "09/05/2003" + COMP_STATUS: + type: string + description: Company Status + example: "Live Company" + REG_ACTIVITY_DESC1: + type: string + description: Registered Activities Description + example: + REG_ACTIVITY_DESC2: + type: string + description: Registered Activities Description + example: + AUDITOR: + type: string + description: Auditor Name + example: + AUDITOR_APPMT_DATE: + type: string + description: Auditor Appointment Date + example: "13/06/1990" + LAST_AR_DATE: + type: string + description: Date of Last AR + example: "30/06/2008" + LAST_AGM_DATE: + type: string + description: Date of Last AGM + example: "11/06/2008" + COUNTRY_INCORP: + type: string + description: Country Incorporated + example: "SINGAPORE" + REQ_SEARCH_INFO : + type: object + example: |+ + + + + + + + + + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REG_NO: + type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "197401835M" + REQ_DATE: + type: string + description: Report Requested Date + example: "2009-04-08 11:36:03.611" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197401835M" + REQ_NAME: + type: string + description: Request Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REQ_DATE_STR: + type: string + description: Request Date String + example: "08/04/2009 11:36:03" + EMPLOYEE_SIZE : + type: object + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: |+ + + + 300 + + properties: + ELEMENTS: + type: string + description: Description + example: "Employee Size" + AMOUNT: + type: string + description: Number of employee + example: "300" + LIST_BIZ_BRANCH : + type: array + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: |+ + + + + + + + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: |+ + + + + + + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD + LIST_REG_CHARGES: + type: array + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: |+ + + + + + + + + + + + items: + properties: + REG_CHARGES : + type: object + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: |+ + + + + + + + + + properties: + CHARGE_NO : + type: string + description: Charge No. + example: 8205117 + CHARGE_DATE: + type: string + description: Charge Date + example: 26/11/1982 + CHARGEE_COMP: + type: string + description: Charges Company + example: UNITED OVERSEAS BANK LIMITED + CURRENCY: + type: string + description: Currency + example: + AMT_SECURED: + type: string + description: Amount Secured + example: 0.00 + STATUS_SATISFACTION: + type: string + description: Status of Satisfaction + example: + LIST_LIQUIDATOR: + type: array + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: |+ + + + ABUTHAHIR ABDUL GAFOOR S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. 1 RAFFLES PLACE #20-01 + OUB CENTRE SINGAPORE 048616 30/03/2009 + + + items: + properties: + LIQUIDATOR : + type: object + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE + example: |+ + + ABUTHAHIR ABDUL GAFOOR + S1676216D + Liquidator + EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + 1 RAFFLES PLACE + #20-01 + OUB CENTRE + SINGAPORE 048616 + 30/03/2009 + + properties: + LIQ_POSITION: + type: string + description: Liquidator / Receiver / Judicial Manager Position + example: Liquidator + LIQ_ID: + type: string + description: Liquidator / Receiver / Judicial Manager ID + example: S1676216D + LIQ_NAME : + type: string + description: Liquidator / Receiver / Judicial Manager Name + example: ABUTHAHIR ABDUL GAFOOR + LIQ_COMP: + type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: + type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: 1 RAFFLES PLACE + LIQ_ADDRESS2: + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: #20-01 + LIQ_ADDRESS3: + type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: OUB CENTRE + LIQ_ADDRESS4: + type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: 30/03/2009 + LIST_SHARE_INTEREST_COMP : + type: array + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: |+ + + + + + + + + + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: |+ + + + + + + + properties: + COMP_NAME : + type: string + description: Company Name + example: ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: 500000 + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: 100.00 + STATUS : + type: string + description: Status + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: |+ + + + + + + + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: |+ + + + + + properties: + PREV_NAME : + type: string + description: Previous Name + example: HUA XI EATING HOUSE + EFFECT_DATE : + type: string + description: Effective Date + example: 25/10/1997 00:00:00 + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: |+ + + +
+ + + + + + + + + + items: + properties: + SHAREHOLDER : + type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: |+ + +
+ + + + + + + + + + + properties: + ADDRESS : + type: string + description: Address + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID : + type: string + description: Company/ Identity No. + example: 198200406H + NO_OF_SHARE : + type: string + description: No. of Shares + example: 657 + CURRENCY : + type: string + description: Currency + example: UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE : + type: string + description: Indicator for Shareholder type + example: 2 + SHARE_TYPE : + type: string + description: Share Type + example: Preference + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 09/05/2003 + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: |+ + + + + + + + + + + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: |+ + + + + + + + + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: Issued + CAPITAL_TYPE : + type: string + description: Capital Type + example: Ordinary + CURRENCY : + type: string + description: Currency + example: SINGAPORE, DOLLARS + CAPITAL_AMT : + type: string + description: Capital Amount + example: 100,000.00 + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: 100,000 + LIST_OFFICER_OWNER : + type: array + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: |+ + + +
+ + + + + + + + items: + properties: + OFFICER_OWNER : + type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: |+ + +
+ + + + + + + + + + properties: + ADDRESS : + type: string + description: Address + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE + IDENTITY_ID : + type: string + description: Identity No. + example: S1674174D + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: 00091 + POSITION : + type: string + description: Position + example: DIRECTOR + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: S + CESSATION_DATE : + type: string + description: Cessation Date + example: 30/10/2003 + OFFICER_NAME : + type: string + description: Officer Name + example: HENRY GOH + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 30/10/2003 + APPMT_DATE : + type: string + description: Appointment Date + example: 30/10/2003 + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: |+ + + + 30000.00 + + + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: |+ + + + + + 30000.00 + + properties: + ELEMENTS : + type: string + description: Description + example: Sales Revenue Amount + YEAR : + type: integer + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: integer + description: Amount + example: 30000.00 + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: integer + description: Count for January + example: 1 + Rcfeb : + type: integer + description: Count for February + example: 1 + Rcmar : + type: integer + description: Count for March + example: 1 + Rcapr : + type: integer + description: Count for April + example: 1 + Rcmay : + type: integer + description: Count for May + example: 1 + Rcjun : + type: integer + description: Count for June + example: 1 + Rcjul : + type: integer + description: Count for July + example: 1 + Rcaug : + type: integer + description: Count for August + example: 1 + Rcsep : + type: integer + description: Count for September + example: 1 + Rcoct : + type: integer + description: Count for October + example: 1 + Rcnov : + type: integer + description: Count for November + example: 1 + Rcdec : + type: integer + description: Count for December + example: 1 + Rcid : + type: integer + description: Internal database value + example: + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: Product Type + example: + Rcsecflag : + type: integer + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: string + description: Last update date + example: + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + REQUEST: + type: object + properties: + TOT_ITEMS: + type: integer + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + ENQUIRY: + type: object + example: |+ + 197601887ETRANSTAR TRAVEL PTE LTD + description: Contains information of each request details + default: true + properties: + SUBJECT_IDNO: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + SUBJECT_NAME: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json Format + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index cd39a5b20..874e4fc54 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -1,468 +1,470 @@ -openapi: 3.0.1 -info: - title: HDB Demographics (SG) - x-subscribelink: demographics_hdb_sg - description: |+ - This Data microservice returns information on Housing Development Board (HDB) estates which includes the location address, postal code, gender and age groups, down to block-level granularity. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":570251}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"street":"serangoon"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - **Match Types:** - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"serangoon central"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"serangoon central"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":560720}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":[560720,560721]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"residents":{"gte":10}}} - > {"range":{"residents":{"lte":50}}} - > {"range":{"residents":{"gte":10,"lte":50}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field":"postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"serangoon+central"}}], - > "filter":[{"range":{"residents":{"gte":10}}}], - > "should":[{"match":{"gender":"male"}}], - > "must_not":[{"match":{"age_group_id":"2"}}] - > } - **Sample Queries Based on Use Cases** - - 1. **Search for the number of elderly residents staying at Blk 423, Tampines Street 41 filter by age and gender.** - Using a filterdata only: - - > {"filter":[{"match":{"street":"tampines street 41"}},{"match":{"block":"423"}},{"terms":{"age_group_id":[6,7,8]}}]} - - 2. **Search for the number of female residents between age 50 to 59 staying in the postal code from 560720 to 560721.** - Using a filterdata only: - - > {"filter":[{"terms":{"postalcode":[560720,560721]}},{"match":{"gender":"female"}},{"terms":{"age_group_id":[6]}}]} - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/demographics/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "tampines" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"filter":[{"match":{"age_group_id":7}},{"match":{"gender":"male"}},{"match":{"postalcode":520423}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 986 - max_score: 17.995623 - hits: - - _index: sentient_hdb_demographics_index - _type: dir_doc - _id: K7scqWgBv3dNEHq2WvMo - _score: 17.995623 - _source: - postalcode: 560720 - gender: 'male' - age_group: '50 to 59' - age_group_id: 6 - residents: 54 - block: '34' - street: 'upper cross street' - xcoord: 29520.58 - ycoord: 39311.68 - address: '34 upper cross street' - createddate: '2020-04-23' - lastupdated: '2020-04-23' - location: - lat: 1.37179535 - lon: 103.8469821 - source: hdb - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - postalcode: - type: integer - description: Postal code of a block - example: 560720 - gender: - type: string - description: Gender details, values are male/female - example: "male" - age_group: - type: string - description: Range of age groups - example: "50 to 59" - age_group_id: - type: integer - description: |+ - Age group ID represents a certain age range: - 1 (<10 years) - 2 (10-19 years) - 3 (20-29 years) - 4 (30-39 years) - 5 (40-49 years) - 6 (50-59 years) - 7 (60-69 years) - 8 (>70 years) - example: 6 - residents: - type: integer - description: Number of residents - example: 54 - block: - type: string - description: Address block - example: "34" - street: - type: string - description: Street Address or building name - example: "upper cross street" - xcoord: - type: string - description: SVY21 X coordinates - example: 29520.58 - ycoord: - type: string - description: SVY21 Y coordinates - example: 39311.68 - address: - type: string - description: Building full address - example: "34 upper cross street" - createddate: - type: string - description: Record first release date on sentient - example: "2020-04-23" - lastupdated: - type: string - description: Record last updated date on sentient - example: "2020-04-23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.37179535,"lon":103.8469821} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37179535 - lon: - type: string - description: WGS84 longitude - example: 103.8469821 - source: - type: string - description: Dataset source - example: "hdb" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15,2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Demographics (SG) + x-subscribelink: demographics_hdb_sg + description: |+ + This Data microservice returns information on Housing Development Board (HDB) estates which includes the location address, postal code, gender and age groups, down to block-level granularity. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":570251}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match":{"street":"serangoon"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + **Match Types:** + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"serangoon central"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"serangoon central"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":560720}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":[560720,560721]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"residents":{"gte":10}}} + > {"range":{"residents":{"lte":50}}} + > {"range":{"residents":{"gte":10,"lte":50}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field":"postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"serangoon+central"}}], + > "filter":[{"range":{"residents":{"gte":10}}}], + > "should":[{"match":{"gender":"male"}}], + > "must_not":[{"match":{"age_group_id":"2"}}] + > } + **Sample Queries Based on Use Cases** + + 1. **Search for the number of elderly residents staying at Blk 423, Tampines Street 41 filter by age and gender.** + Using a filterdata only: + + > {"filter":[{"match":{"street":"tampines street 41"}},{"match":{"block":"423"}},{"terms":{"age_group_id":[6,7,8]}}]} + + 2. **Search for the number of female residents between age 50 to 59 staying in the postal code from 560720 to 560721.** + Using a filterdata only: + + > {"filter":[{"terms":{"postalcode":[560720,560721]}},{"match":{"gender":"female"}},{"terms":{"age_group_id":[6]}}]} + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides information on Housing Development Board (HDB) estates. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 21, 2021" +paths: + /microservices/data/demographics/v1/getdata: + get: + tags: + - v1.0.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "tampines" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"filter":[{"match":{"age_group_id":7}},{"match":{"gender":"male"}},{"match":{"postalcode":520423}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 986 + max_score: 17.995623 + hits: + - _index: sentient_hdb_demographics_index + _type: dir_doc + _id: K7scqWgBv3dNEHq2WvMo + _score: 17.995623 + _source: + postalcode: 560720 + gender: 'male' + age_group: '50 to 59' + age_group_id: 6 + residents: 54 + block: '34' + street: 'upper cross street' + xcoord: 29520.58 + ycoord: 39311.68 + address: '34 upper cross street' + createddate: '2020-04-23' + lastupdated: '2020-04-23' + location: + lat: 1.37179535 + lon: 103.8469821 + source: hdb + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + postalcode: + type: integer + description: Postal code of a block + example: 560720 + gender: + type: string + description: Gender details, values are male/female + example: "male" + age_group: + type: string + description: Range of age groups + example: "50 to 59" + age_group_id: + type: integer + description: |+ + Age group ID represents a certain age range: + 1 (<10 years) + 2 (10-19 years) + 3 (20-29 years) + 4 (30-39 years) + 5 (40-49 years) + 6 (50-59 years) + 7 (60-69 years) + 8 (>70 years) + example: 6 + residents: + type: integer + description: Number of residents + example: 54 + block: + type: string + description: Address block + example: "34" + street: + type: string + description: Street Address or building name + example: "upper cross street" + xcoord: + type: string + description: SVY21 X coordinates + example: 29520.58 + ycoord: + type: string + description: SVY21 Y coordinates + example: 39311.68 + address: + type: string + description: Building full address + example: "34 upper cross street" + createddate: + type: string + description: Record first release date on sentient + example: "2020-04-23" + lastupdated: + type: string + description: Record last updated date on sentient + example: "2020-04-23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.37179535,"lon":103.8469821} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37179535 + lon: + type: string + description: WGS84 longitude + example: 103.8469821 + source: + type: string + description: Dataset source + example: "hdb" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15,2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/demographics_hdb_sg_v0.1.yaml b/data/demographics_hdb_sg_v0.1.yaml index 0b57cfb95..4a18a7864 100644 --- a/data/demographics_hdb_sg_v0.1.yaml +++ b/data/demographics_hdb_sg_v0.1.yaml @@ -1,468 +1,470 @@ -openapi: 3.0.1 -info: - title: HDB Demographics (SG) - x-subscribelink: demographics_hdb_sg - description: |+ - This Data microservice returns information on Housing Development Board of Singapore (HDB) estates and includes the location address, postal code, gender and age groups, down to block-level granularity.The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":"570251"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"street":"serangoon"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - **Match Types:** - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"serangoon central"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"serangoon central"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":"560720"}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":["560720","560721"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"residents":{"gte":10}}} - > {"range":{"residents":{"lte":50}}} - > {"range":{"residents":{"gte":10,"lte":50}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field":"postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"serangoon+central"}}], - > "filter":[{"range":{"residents":{"gte":10}}}], - > "should":[{"match":{"gender":"male"}}], - > "must_not":[{"match":{"age_group_id":"2"}}] - > } - - **Sample Queries Based on Use Cases** - - 1. **Search for the number of elderly residents staying at Blk 423, Tampines Street 41 filter by age and gender.** - Using a filterdata only: - - > {"filter":[{"match":{"street":"tampines street 41"}},{"match":{"block":"423"}},{"terms":{"age_group_id":[6,7,8]}}]} - - 2. **Search for the number of female residents between age 50 to 59 staying in the postal code from 050034 to 050532.** - Using a filterdata only: - - > {"filter":[{"terms":{"postalcode":["050034","050532"]}},{"match":{"gender":"female"}},{"terms":{"age_group_id":[6]}}]} - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - May 15, 2020" -paths: - /DaaS/prod/hdb/demographics: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "tampines" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"filter":[{"match":{"age_group_id":7}},{"match":{"gender":"male"}},{"match":{"postalcode":520423}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 986 - max_score: 17.995623 - hits: - - _index: sentient_demographics_hdb_index - _type: dir_doc - _id: K7scqWgBv3dNEHq2WvMo - _score: 17.995623 - _source: - postalcode: '560720' - gender: 'male' - age_group: '50 to 59' - age_group_id: 6 - residents: 54 - block: '34' - street: 'upper cross street' - xcoord: 29520.58 - ycoord: 39311.68 - address: '34 upper cross street' - createddate: '2020-04-23' - lastupdated: '2020-04-23' - location: - lat: 1.37179535 - lon: 103.8469821 - source: hdb - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - postalcode: - type: string - description: Postal code of a block - example: "560720" - gender: - type: string - description: Gender details, values are male/female - example: "male" - age_group: - type: string - description: Range of age groups - example: "50 to 59" - age_group_id: - type: integer - description: |+ - Age group ID represents a certain age range: - 1 (<10 years) - 2 (10-19 years) - 3 (20-29 years) - 4 (30-39 years) - 5 (40-49 years) - 6 (50-59 years) - 7 (60-69 years) - 8 (>70 years) - example: 6 - residents: - type: integer - description: Number of residents - example: 54 - block: - type: string - description: Address block - example: "34" - street: - type: string - description: Street Address or building name - example: "upper cross street" - xcoord: - type: string - description: SVY21 X coordinates - example: 29520.58 - ycoord: - type: string - description: SVY21 Y coordinates - example: 39311.68 - address: - type: string - description: Building full address - example: "34 upper cross street" - createddate: - type: string - description: Record first release date on sentient - example: "2020-04-23" - lastupdated: - type: string - description: Record last updated date on sentient - example: "2020-04-23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.37179535,"lon":103.8469821} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37179535 - lon: - type: string - description: WGS84 longitude - example: 103.8469821 - source: - type: string - description: Dataset source - example: "hdb" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15,2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Demographics (SG) + x-subscribelink: demographics_hdb_sg + description: |+ + This Data microservice returns information on Housing Development Board of Singapore (HDB) estates and includes the location address, postal code, gender and age groups, down to block-level granularity.The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":"570251"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match":{"street":"serangoon"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + **Match Types:** + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"serangoon central"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"serangoon central"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":"560720"}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":["560720","560721"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"residents":{"gte":10}}} + > {"range":{"residents":{"lte":50}}} + > {"range":{"residents":{"gte":10,"lte":50}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field":"postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"serangoon+central"}}], + > "filter":[{"range":{"residents":{"gte":10}}}], + > "should":[{"match":{"gender":"male"}}], + > "must_not":[{"match":{"age_group_id":"2"}}] + > } + + **Sample Queries Based on Use Cases** + + 1. **Search for the number of elderly residents staying at Blk 423, Tampines Street 41 filter by age and gender.** + Using a filterdata only: + + > {"filter":[{"match":{"street":"tampines street 41"}},{"match":{"block":"423"}},{"terms":{"age_group_id":[6,7,8]}}]} + + 2. **Search for the number of female residents between age 50 to 59 staying in the postal code from 050034 to 050532.** + Using a filterdata only: + + > {"filter":[{"terms":{"postalcode":["050034","050532"]}},{"match":{"gender":"female"}},{"terms":{"age_group_id":[6]}}]} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides information on Housing Development Board (HDB) estates. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 15, 2020" +paths: + /DaaS/prod/hdb/demographics: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "tampines" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"filter":[{"match":{"age_group_id":7}},{"match":{"gender":"male"}},{"match":{"postalcode":520423}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 986 + max_score: 17.995623 + hits: + - _index: sentient_demographics_hdb_index + _type: dir_doc + _id: K7scqWgBv3dNEHq2WvMo + _score: 17.995623 + _source: + postalcode: '560720' + gender: 'male' + age_group: '50 to 59' + age_group_id: 6 + residents: 54 + block: '34' + street: 'upper cross street' + xcoord: 29520.58 + ycoord: 39311.68 + address: '34 upper cross street' + createddate: '2020-04-23' + lastupdated: '2020-04-23' + location: + lat: 1.37179535 + lon: 103.8469821 + source: hdb + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + postalcode: + type: string + description: Postal code of a block + example: "560720" + gender: + type: string + description: Gender details, values are male/female + example: "male" + age_group: + type: string + description: Range of age groups + example: "50 to 59" + age_group_id: + type: integer + description: |+ + Age group ID represents a certain age range: + 1 (<10 years) + 2 (10-19 years) + 3 (20-29 years) + 4 (30-39 years) + 5 (40-49 years) + 6 (50-59 years) + 7 (60-69 years) + 8 (>70 years) + example: 6 + residents: + type: integer + description: Number of residents + example: 54 + block: + type: string + description: Address block + example: "34" + street: + type: string + description: Street Address or building name + example: "upper cross street" + xcoord: + type: string + description: SVY21 X coordinates + example: 29520.58 + ycoord: + type: string + description: SVY21 Y coordinates + example: 39311.68 + address: + type: string + description: Building full address + example: "34 upper cross street" + createddate: + type: string + description: Record first release date on sentient + example: "2020-04-23" + lastupdated: + type: string + description: Record last updated date on sentient + example: "2020-04-23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.37179535,"lon":103.8469821} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37179535 + lon: + type: string + description: WGS84 longitude + example: 103.8469821 + source: + type: string + description: Dataset source + example: "hdb" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15,2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index e7b29214f..00018dfe4 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -1,559 +1,561 @@ -openapi: 3.0.1 -info: - title: Directory of Singapore Startups - x-subscribelink: directory_of_singapore_startups - description: |+ - This Data microservice retrieves a list of all Singapore startup companies found on the internet through web scraping. Updated quarterly. - x-additionalinfo: |+ - Suggested Use Cases: - - Build solutions related to startups in Singapore. For example, investors interested in industry analysis can use this microservice to identify the trends and patterns in Singapore's startup scene. - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - > {"must":[{"match":{"name":"technology"}}]} - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"yearestablished.e27":"2016"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match":{"status.e27":"active"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"exists":{"field":"company.e27"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - **Match Types:** - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - - > {"match":{"name":"technology"}} - - * **match_phrase** - Search within a full text field - - > {"match_phrase":{"name":"nextwave partners"}} - - * **match_phrase_prefix** - Search within a full text field with prefix - - > {"match_phrase_prefix":{"name":"nextwave partners"}} - - * **term** - Returns results that contain an exact term in a provided field - - > {"term":{"employeecount.techinasia":"11"}} - - * **terms** - Returns results that contain one or more exact terms in a provided field - - > {"terms":{"employeecount.techinasia":["11","15"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"company.techinasia.funding.amount":{"gte":10000000}}} - > {"range":{"company.techinasia.funding.amount":{"lte":50000000}}} - > {"range":{"company.techinasia.funding.amount":{"gte":10000000,"lte":50000000}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{"field":"company.e27"}} - - **Sample filterdata JSON:** - > { - > "must":[{"match":{"name":"technology"}}], - > "filter":[{"exists":{"field":"company.e27"}}], - > "should":[{"match":{"status.e27":"active"}}], - > "must_not":[{"match":{"yearestablished.e27":"2016"}}] - > } - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/directories_searchdir/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all start ups (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "technology" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match":{"name":"technology"}}],"filter":[{"exists":{"field":"company.e27"}}],"should":[{"match":{"status.e27":"active"}}],"must_not":[{"match":{"yearestablished.e27":"2016"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 986 - max_score: 1 - hits: - - _index: sentient_directory_index - _type: dir_doc - _id: TrrmAWgBv3dNEHq24P-C - _score: 1 - _source: - type: company - source: sentient - address: singapore - createddate: '2018-12-31' - name: AAR Consultancy - logo: - e27: https://e27.co/img/startups/11448/logo.png - company: - e27: - sourceurl: https://e27.co/startup/aar-consultancy - type: startup - technology: - - Enterprise Solution - - Big Data - - E-commerce - - Education - - Internet of Things - socialmedia: - e27: - linkedin: https://sg.linkedin.com/in/soumikch - descshort: - e27: Google Certified Professionals. Providing with Consultation, Implementation - Strategy and Training of various online platforms, methods and campaigns, - including eComm launches. - desclong: - e27: 'My name is Soumik and I am founder of AAR Consultancy, a registered - business in Singapore. I provide online consultancy, implementation strategy - development and Training.I offer various online services, which you can - see from my attached company profile. I am an MBA with 11+ years experience - helping manage digital / online marketing for various industries. Been guest - speakers at seminars and conferences and provided corporate training to - SMEs and MNCs alike. I have worked with Streetdirectory, MDIS, Ogilvy and - Mather, American Express and Mothercare and has helped clients such as IBM, - Unilever, Nestle, SingTel, Guinness amongst others. SMEs, MNCs : B2B and - B2C.Have launched eCommerce Platforms, websites, strategies, technologies, - apps, and more.Trained and implemented, SEO, AdWords - ppc, media ads, social, - community management and more.' - website: - e27: http://ww.aaronline.sg - status: - e27: active - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: integer - example: 1 - description: The highest score value - hits: - type: array - example: [ { "" } - description: Json Object of returned hits - properties: - type: - type: string - description: Directory type - example: company - source: - type: string - description: Dataset source - example: sentient - address: - type: string - description: Full address - example: singapore - createddate: - type: string - description: Record first release date on sentient - example: '2018-12-31' - name: - type: string - description: Business name - example: AAR Consultancy - logo: - type: object - example: { "" } - description: List of logo from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: logo url - example: 'https://e27.co/img/startups/11448/logo.png' - company: - type: object - example: { "" } - description: Full details about the company from various content providers like f6s, e27, techinasia - properties: - : - type: object - example: { "" } - description: Directory details from the content provider like f6s, e27, techinasia - properties: - sourceurl: - type: string - description: Directory source url - example: 'https://e27.co/startup/tech-in-asia' - type: - type: string - description: Type of Directory - example: startup - technology: - type: array - items: - oneOf: - - type: string - format: list - example: Enterprise Solution - - type: string - format: list - example: Big Data - - type: string - format: list - example: E-commerce - - type: string - format: list - example: Education - - type: string - format: list - example: Internet of Things - funding: - type: array - example: [ { "" } - description: Various Social media details from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: Social media information of the record - example: 'https://www.linkedin.com/company/tech-in-asia' - properties: - linkedin: - type: string - description: Social media - Linkedin url - example: 'https://www.linkedin.com/company/tech-in-asia' - facebook: - type: string - description: Social media - Facebook url - example: 'https://www.facebook.com/techinasia' - twitter: - type: string - description: Social media - twitter url - example: 'https://www.twitter.com/Techinasia' - descshort: - type: object - example: { "" } - description: Short description - properties: - : - type: string - description: Short description from various content providers like f6s, e27, techinasia - example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta.' - desclong: - type: object - example: { "" } - description: Long description - properties: - : - type: string - description: Long description from various content providers like f6s, e27, techinasia - example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta. Right here is where you can keep abreast of Asia’s tech industry, share your thoughts alongside ours, and connect with startups and investors alike.With an ever-growing team of close to 100 based all across Asia and the US, spanning editorial, events and database functions, they are fully dedicated to bringing Asia’s tech ecosystem closer together.Above all, they want to give you a voice with their platform and facilitate meaningful discussions that would otherwise only take place offline. Anyone willing to add value to Asia’s tech community and ecosystem is able and welcome to join in the conversation.Tech in Asia counts Softbank, Y Combinator, Walden International, East Ventures, Facebook co-founder Eduardo Saverin, and more amongst its list of investors. Their statement of ethics governs their principles regarding full disclosure and conflicts of interest.' - website: - type: object - example: { "" } - description: Website details from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: Website address - example: 'https://www.techinasia.com' - status: - type: object - example: { "" } - description: Company status from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: Company status - example: active - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 26, 2018 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: Directory of Singapore Startups + x-subscribelink: directory_of_singapore_startups + description: |+ + This Data microservice retrieves a list of all Singapore startup companies found on the internet through web scraping. Updated quarterly. + x-additionalinfo: |+ + Suggested Use Cases: + - Build solutions related to startups in Singapore. For example, investors interested in industry analysis can use this microservice to identify the trends and patterns in Singapore's startup scene. + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + > {"must":[{"match":{"name":"technology"}}]} + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"yearestablished.e27":"2016"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match":{"status.e27":"active"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"exists":{"field":"company.e27"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + **Match Types:** + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + + > {"match":{"name":"technology"}} + + * **match_phrase** - Search within a full text field + + > {"match_phrase":{"name":"nextwave partners"}} + + * **match_phrase_prefix** - Search within a full text field with prefix + + > {"match_phrase_prefix":{"name":"nextwave partners"}} + + * **term** - Returns results that contain an exact term in a provided field + + > {"term":{"employeecount.techinasia":"11"}} + + * **terms** - Returns results that contain one or more exact terms in a provided field + + > {"terms":{"employeecount.techinasia":["11","15"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"company.techinasia.funding.amount":{"gte":10000000}}} + > {"range":{"company.techinasia.funding.amount":{"lte":50000000}}} + > {"range":{"company.techinasia.funding.amount":{"gte":10000000,"lte":50000000}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{"field":"company.e27"}} + + **Sample filterdata JSON:** + > { + > "must":[{"match":{"name":"technology"}}], + > "filter":[{"exists":{"field":"company.e27"}}], + > "should":[{"match":{"status.e27":"active"}}], + > "must_not":[{"match":{"yearestablished.e27":"2016"}}] + > } + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides a list of all Singapore startup companies found on the internet through web scraping. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 21, 2021" +paths: + /microservices/data/directories_searchdir/v1/getdata: + get: + tags: + - v1.0.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all start ups (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "technology" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match":{"name":"technology"}}],"filter":[{"exists":{"field":"company.e27"}}],"should":[{"match":{"status.e27":"active"}}],"must_not":[{"match":{"yearestablished.e27":"2016"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 986 + max_score: 1 + hits: + - _index: sentient_directory_index + _type: dir_doc + _id: TrrmAWgBv3dNEHq24P-C + _score: 1 + _source: + type: company + source: sentient + address: singapore + createddate: '2018-12-31' + name: AAR Consultancy + logo: + e27: https://e27.co/img/startups/11448/logo.png + company: + e27: + sourceurl: https://e27.co/startup/aar-consultancy + type: startup + technology: + - Enterprise Solution + - Big Data + - E-commerce + - Education + - Internet of Things + socialmedia: + e27: + linkedin: https://sg.linkedin.com/in/soumikch + descshort: + e27: Google Certified Professionals. Providing with Consultation, Implementation + Strategy and Training of various online platforms, methods and campaigns, + including eComm launches. + desclong: + e27: 'My name is Soumik and I am founder of AAR Consultancy, a registered + business in Singapore. I provide online consultancy, implementation strategy + development and Training.I offer various online services, which you can + see from my attached company profile. I am an MBA with 11+ years experience + helping manage digital / online marketing for various industries. Been guest + speakers at seminars and conferences and provided corporate training to + SMEs and MNCs alike. I have worked with Streetdirectory, MDIS, Ogilvy and + Mather, American Express and Mothercare and has helped clients such as IBM, + Unilever, Nestle, SingTel, Guinness amongst others. SMEs, MNCs : B2B and + B2C.Have launched eCommerce Platforms, websites, strategies, technologies, + apps, and more.Trained and implemented, SEO, AdWords - ppc, media ads, social, + community management and more.' + website: + e27: http://ww.aaronline.sg + status: + e27: active + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: integer + example: 1 + description: The highest score value + hits: + type: array + example: [ { "" } + description: Json Object of returned hits + properties: + type: + type: string + description: Directory type + example: company + source: + type: string + description: Dataset source + example: sentient + address: + type: string + description: Full address + example: singapore + createddate: + type: string + description: Record first release date on sentient + example: '2018-12-31' + name: + type: string + description: Business name + example: AAR Consultancy + logo: + type: object + example: { "" } + description: List of logo from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: logo url + example: 'https://e27.co/img/startups/11448/logo.png' + company: + type: object + example: { "" } + description: Full details about the company from various content providers like f6s, e27, techinasia + properties: + : + type: object + example: { "" } + description: Directory details from the content provider like f6s, e27, techinasia + properties: + sourceurl: + type: string + description: Directory source url + example: 'https://e27.co/startup/tech-in-asia' + type: + type: string + description: Type of Directory + example: startup + technology: + type: array + items: + oneOf: + - type: string + format: list + example: Enterprise Solution + - type: string + format: list + example: Big Data + - type: string + format: list + example: E-commerce + - type: string + format: list + example: Education + - type: string + format: list + example: Internet of Things + funding: + type: array + example: [ { "" } + description: Various Social media details from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: Social media information of the record + example: 'https://www.linkedin.com/company/tech-in-asia' + properties: + linkedin: + type: string + description: Social media - Linkedin url + example: 'https://www.linkedin.com/company/tech-in-asia' + facebook: + type: string + description: Social media - Facebook url + example: 'https://www.facebook.com/techinasia' + twitter: + type: string + description: Social media - twitter url + example: 'https://www.twitter.com/Techinasia' + descshort: + type: object + example: { "" } + description: Short description + properties: + : + type: string + description: Short description from various content providers like f6s, e27, techinasia + example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta.' + desclong: + type: object + example: { "" } + description: Long description + properties: + : + type: string + description: Long description from various content providers like f6s, e27, techinasia + example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta. Right here is where you can keep abreast of Asia’s tech industry, share your thoughts alongside ours, and connect with startups and investors alike.With an ever-growing team of close to 100 based all across Asia and the US, spanning editorial, events and database functions, they are fully dedicated to bringing Asia’s tech ecosystem closer together.Above all, they want to give you a voice with their platform and facilitate meaningful discussions that would otherwise only take place offline. Anyone willing to add value to Asia’s tech community and ecosystem is able and welcome to join in the conversation.Tech in Asia counts Softbank, Y Combinator, Walden International, East Ventures, Facebook co-founder Eduardo Saverin, and more amongst its list of investors. Their statement of ethics governs their principles regarding full disclosure and conflicts of interest.' + website: + type: object + example: { "" } + description: Website details from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: Website address + example: 'https://www.techinasia.com' + status: + type: object + example: { "" } + description: Company status from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: Company status + example: active + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 26, 2018 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/directory_of_singapore_startups_v0.1.yaml b/data/directory_of_singapore_startups_v0.1.yaml index 7054247dd..dc902fdad 100644 --- a/data/directory_of_singapore_startups_v0.1.yaml +++ b/data/directory_of_singapore_startups_v0.1.yaml @@ -1,568 +1,570 @@ -openapi: 3.0.1 -info: - title: Directory of Singapore Startups - x-subscribelink: directory_of_singapore_startups - description: |+ - This Data microservice retrieves the list of all Singapore startup companies found on the internet through web scraping. Updated quarterly. - x-additionalinfo: |+ - Suggested Use Cases: - - Build solutions related to startups in Singapore. For example, investors interested in industry analysis can use this microservice to identify the trends and patterns in Singapore's startup scene. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match":{"name":"technology"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - - > {"must_not":[{"match":{"yearestablished.e27":"2016"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - - > {"should":[{"match":{"status.e27":"active"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - - > {"filter":[{"exists":{"field":"company.e27"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - - > {"match":{"name":"technology"}} - - * **match_phrase** - Search within a full text field - - > {"match_phrase":{"name":"nextwave partners"}} - - * **match_phrase_prefix** - Search within a full text field with prefix - - > {"match_phrase_prefix":{"name":"nextwave partners"}} - - * **term** - Returns results that contain an exact term in a provided field - - > {"term":{"employeecount.techinasia":"11"}} - - * **terms** - Returns results that contain one or more exact terms in a provided field - - > {"terms":{"employeecount.techinasia":["11","15"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"company.techinasia.funding.amount":{"gte":10000000}}} - > {"range":{"company.techinasia.funding.amount":{"lte":50000000}}} - > {"range":{"company.techinasia.funding.amount":{"gte":10000000,"lte":50000000}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{"field":"company.e27"}} - - **Sample filterdata JSON:** - > { - > "must":[{"match":{"name":"technology"}}], - > "filter":[{"exists":{"field":"company.e27"}}], - > "should":[{"match":{"status.e27":"active"}}], - > "must_not":[{"match":{"yearestablished.e27":"2016"}}] - > } - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 26, 2018" -paths: - /DaaS/prod/directories/searchdir: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all start ups (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "technology" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match":{"name":"technology"}}],"filter":[{"exists":{"field":"company.e27"}}],"should":[{"match":{"status.e27":"active"}}],"must_not":[{"match":{"yearestablished.e27":"2016"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 986 - max_score: 1 - hits: - - _index: sentient_directory_index - _type: dir_doc - _id: TrrmAWgBv3dNEHq24P-C - _score: 1 - _source: - type: company - source: sentient - address: singapore - createddate: '2018-12-31' - name: AAR Consultancy - logo: - e27: https://e27.co/img/startups/11448/logo.png - company: - e27: - sourceurl: https://e27.co/startup/aar-consultancy - type: startup - technology: - - Enterprise Solution - - Big Data - - E-commerce - - Education - - Internet of Things - socialmedia: - e27: - linkedin: https://sg.linkedin.com/in/soumikch - descshort: - e27: Google Certified Professionals. Providing with Consultation, Implementation - Strategy and Training of various online platforms, methods and campaigns, - including eComm launches. - desclong: - e27: 'My name is Soumik and I am founder of AAR Consultancy, a registered - business in Singapore. I provide online consultancy, implementation strategy - development and Training.I offer various online services, which you can - see from my attached company profile. I am an MBA with 11+ years experience - helping manage digital / online marketing for various industries. Been guest - speakers at seminars and conferences and provided corporate training to - SMEs and MNCs alike. I have worked with Streetdirectory, MDIS, Ogilvy and - Mather, American Express and Mothercare and has helped clients such as IBM, - Unilever, Nestle, SingTel, Guinness amongst others. SMEs, MNCs : B2B and - B2C.Have launched eCommerce Platforms, websites, strategies, technologies, - apps, and more.Trained and implemented, SEO, AdWords - ppc, media ads, social, - community management and more.' - website: - e27: http://ww.aaronline.sg - status: - e27: active - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: integer - example: 1 - description: The highest score value - hits: - type: array - example: [ { "" } - description: Json Object of returned hits - properties: - type: - type: string - description: Directory type - example: company - source: - type: string - description: Dataset source - example: sentient - address: - type: string - description: Full address - example: singapore - createddate: - type: string - description: Record first release date on sentient - example: '2018-12-31' - name: - type: string - description: Business name - example: AAR Consultancy - logo: - type: object - example: { "" } - description: List of logo from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: logo url - example: 'https://e27.co/img/startups/11448/logo.png' - company: - type: object - example: { "" } - description: Full details about the company from various content providers like f6s, e27, techinasia - properties: - : - type: object - example: { "" } - description: Directory details from the content provider like f6s, e27, techinasia - properties: - sourceurl: - type: string - description: Directory source url - example: 'https://e27.co/startup/tech-in-asia' - type: - type: string - description: Type of Directory - example: startup - technology: - type: array - items: - oneOf: - - type: string - format: list - example: Enterprise Solution - - type: string - format: list - example: Big Data - - type: string - format: list - example: E-commerce - - type: string - format: list - example: Education - - type: string - format: list - example: Internet of Things - funding: - type: array - example: [ { "" } - description: Various Social media details from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: Social media information of the record - example: 'https://www.linkedin.com/company/tech-in-asia' - properties: - linkedin: - type: string - description: Social media - Linkedin url - example: 'https://www.linkedin.com/company/tech-in-asia' - facebook: - type: string - description: Social media - Facebook url - example: 'https://www.facebook.com/techinasia' - twitter: - type: string - description: Social media - twitter url - example: 'https://www.twitter.com/Techinasia' - descshort: - type: object - example: { "" } - description: Short description - properties: - : - type: string - description: Short description from various content providers like f6s, e27, techinasia - example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta.' - desclong: - type: object - example: { "" } - description: Long description - properties: - : - type: string - description: Long description from various content providers like f6s, e27, techinasia - example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta. Right here is where you can keep abreast of Asia’s tech industry, share your thoughts alongside ours, and connect with startups and investors alike.With an ever-growing team of close to 100 based all across Asia and the US, spanning editorial, events and database functions, they are fully dedicated to bringing Asia’s tech ecosystem closer together.Above all, they want to give you a voice with their platform and facilitate meaningful discussions that would otherwise only take place offline. Anyone willing to add value to Asia’s tech community and ecosystem is able and welcome to join in the conversation.Tech in Asia counts Softbank, Y Combinator, Walden International, East Ventures, Facebook co-founder Eduardo Saverin, and more amongst its list of investors. Their statement of ethics governs their principles regarding full disclosure and conflicts of interest.' - website: - type: object - example: { "" } - description: Website details from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: Website address - example: 'https://www.techinasia.com' - status: - type: object - example: { "" } - description: Company status from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: Company status - example: active - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 26, 2018 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: Directory of Singapore Startups + x-subscribelink: directory_of_singapore_startups + description: |+ + This Data microservice retrieves the list of all Singapore startup companies found on the internet through web scraping. Updated quarterly. + x-additionalinfo: |+ + Suggested Use Cases: + - Build solutions related to startups in Singapore. For example, investors interested in industry analysis can use this microservice to identify the trends and patterns in Singapore's startup scene. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match":{"name":"technology"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + + > {"must_not":[{"match":{"yearestablished.e27":"2016"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + + > {"should":[{"match":{"status.e27":"active"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + + > {"filter":[{"exists":{"field":"company.e27"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + + > {"match":{"name":"technology"}} + + * **match_phrase** - Search within a full text field + + > {"match_phrase":{"name":"nextwave partners"}} + + * **match_phrase_prefix** - Search within a full text field with prefix + + > {"match_phrase_prefix":{"name":"nextwave partners"}} + + * **term** - Returns results that contain an exact term in a provided field + + > {"term":{"employeecount.techinasia":"11"}} + + * **terms** - Returns results that contain one or more exact terms in a provided field + + > {"terms":{"employeecount.techinasia":["11","15"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"company.techinasia.funding.amount":{"gte":10000000}}} + > {"range":{"company.techinasia.funding.amount":{"lte":50000000}}} + > {"range":{"company.techinasia.funding.amount":{"gte":10000000,"lte":50000000}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{"field":"company.e27"}} + + **Sample filterdata JSON:** + > { + > "must":[{"match":{"name":"technology"}}], + > "filter":[{"exists":{"field":"company.e27"}}], + > "should":[{"match":{"status.e27":"active"}}], + > "must_not":[{"match":{"yearestablished.e27":"2016"}}] + > } + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides a list of all Singapore startup companies found on the internet through web scraping. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 26, 2018" +paths: + /DaaS/prod/directories/searchdir: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all start ups (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "technology" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match":{"name":"technology"}}],"filter":[{"exists":{"field":"company.e27"}}],"should":[{"match":{"status.e27":"active"}}],"must_not":[{"match":{"yearestablished.e27":"2016"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 986 + max_score: 1 + hits: + - _index: sentient_directory_index + _type: dir_doc + _id: TrrmAWgBv3dNEHq24P-C + _score: 1 + _source: + type: company + source: sentient + address: singapore + createddate: '2018-12-31' + name: AAR Consultancy + logo: + e27: https://e27.co/img/startups/11448/logo.png + company: + e27: + sourceurl: https://e27.co/startup/aar-consultancy + type: startup + technology: + - Enterprise Solution + - Big Data + - E-commerce + - Education + - Internet of Things + socialmedia: + e27: + linkedin: https://sg.linkedin.com/in/soumikch + descshort: + e27: Google Certified Professionals. Providing with Consultation, Implementation + Strategy and Training of various online platforms, methods and campaigns, + including eComm launches. + desclong: + e27: 'My name is Soumik and I am founder of AAR Consultancy, a registered + business in Singapore. I provide online consultancy, implementation strategy + development and Training.I offer various online services, which you can + see from my attached company profile. I am an MBA with 11+ years experience + helping manage digital / online marketing for various industries. Been guest + speakers at seminars and conferences and provided corporate training to + SMEs and MNCs alike. I have worked with Streetdirectory, MDIS, Ogilvy and + Mather, American Express and Mothercare and has helped clients such as IBM, + Unilever, Nestle, SingTel, Guinness amongst others. SMEs, MNCs : B2B and + B2C.Have launched eCommerce Platforms, websites, strategies, technologies, + apps, and more.Trained and implemented, SEO, AdWords - ppc, media ads, social, + community management and more.' + website: + e27: http://ww.aaronline.sg + status: + e27: active + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: integer + example: 1 + description: The highest score value + hits: + type: array + example: [ { "" } + description: Json Object of returned hits + properties: + type: + type: string + description: Directory type + example: company + source: + type: string + description: Dataset source + example: sentient + address: + type: string + description: Full address + example: singapore + createddate: + type: string + description: Record first release date on sentient + example: '2018-12-31' + name: + type: string + description: Business name + example: AAR Consultancy + logo: + type: object + example: { "" } + description: List of logo from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: logo url + example: 'https://e27.co/img/startups/11448/logo.png' + company: + type: object + example: { "" } + description: Full details about the company from various content providers like f6s, e27, techinasia + properties: + : + type: object + example: { "" } + description: Directory details from the content provider like f6s, e27, techinasia + properties: + sourceurl: + type: string + description: Directory source url + example: 'https://e27.co/startup/tech-in-asia' + type: + type: string + description: Type of Directory + example: startup + technology: + type: array + items: + oneOf: + - type: string + format: list + example: Enterprise Solution + - type: string + format: list + example: Big Data + - type: string + format: list + example: E-commerce + - type: string + format: list + example: Education + - type: string + format: list + example: Internet of Things + funding: + type: array + example: [ { "" } + description: Various Social media details from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: Social media information of the record + example: 'https://www.linkedin.com/company/tech-in-asia' + properties: + linkedin: + type: string + description: Social media - Linkedin url + example: 'https://www.linkedin.com/company/tech-in-asia' + facebook: + type: string + description: Social media - Facebook url + example: 'https://www.facebook.com/techinasia' + twitter: + type: string + description: Social media - twitter url + example: 'https://www.twitter.com/Techinasia' + descshort: + type: object + example: { "" } + description: Short description + properties: + : + type: string + description: Short description from various content providers like f6s, e27, techinasia + example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta.' + desclong: + type: object + example: { "" } + description: Long description + properties: + : + type: string + description: Long description from various content providers like f6s, e27, techinasia + example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta. Right here is where you can keep abreast of Asia’s tech industry, share your thoughts alongside ours, and connect with startups and investors alike.With an ever-growing team of close to 100 based all across Asia and the US, spanning editorial, events and database functions, they are fully dedicated to bringing Asia’s tech ecosystem closer together.Above all, they want to give you a voice with their platform and facilitate meaningful discussions that would otherwise only take place offline. Anyone willing to add value to Asia’s tech community and ecosystem is able and welcome to join in the conversation.Tech in Asia counts Softbank, Y Combinator, Walden International, East Ventures, Facebook co-founder Eduardo Saverin, and more amongst its list of investors. Their statement of ethics governs their principles regarding full disclosure and conflicts of interest.' + website: + type: object + example: { "" } + description: Website details from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: Website address + example: 'https://www.techinasia.com' + status: + type: object + example: { "" } + description: Company status from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: Company status + example: active + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 26, 2018 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 99a326585..d26dbe411 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -1,257 +1,259 @@ -openapi: 3.0.1 -info: - title: HDB Fitness Stations and Playgrounds (SG) - x-subscribelink: fitness_stations_and_playgrounds_hdb_sg - description: |+ - This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - x-additionalinfo: |+ - Suggested Use Cases: - - Real estate services - can be used as a background check solution to extract information related to the types and number of fitness stations/playgrounds present in an area for people buying or renting a HDB home. - - Download the complete dataset using a pre-signed URL. It's a two steps process. - - **Step 1:** Get the pre-signed URL - - Replace the correct x-api-key, and API endpoint - - > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" ** - **Step 2:** Download file - - Using the results.url (i.e) the pre-signed URL to download the dataset - - > **curl --request GET "results.url" >> "FILE_NAME"** - - **Data schema** - - | Name | Type | Size | Description | - |---|---|---|---|---| - | FEATID | Integer | N/A | Feature ID. Unique running number. | - | TYPE | Char | N/A | Captures the type of object. | - | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | - | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | - | INC_CRC | Varchar | 50 | Sub Location Id | - | FMEL_UPD_D | Datetime | N/A | Date Updated | - | Shape__Area | Float | N/A | Area of the feature | - | Shape__Length | Float | N/A | Length of the feature | - - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 100MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/fitnessstationplaygrnd/v1/getdata: - get: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - url: "" - status: Success - message: Successfully Processed - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - url: - type: string - description: pre-signed URL to download the file - example: "" - status: - type: string - example: Success - description: The status of the API call. success/failure - message: - type: string - example: Successfully Processed - description: Detail description on the api status - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Fitness Stations and Playgrounds (SG) + x-subscribelink: fitness_stations_and_playgrounds_hdb_sg + description: |+ + This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. + A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + x-additionalinfo: |+ + Suggested Use Cases: + - Real estate services - can be used as a background check solution to extract information related to the types and number of fitness stations/playgrounds present in an area for people buying or renting a HDB home. + + Download the complete dataset using a pre-signed URL. It's a two steps process. + + **Step 1:** Get the pre-signed URL + + Replace the correct x-api-key, and API endpoint + + > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" ** + **Step 2:** Download file + + Using the results.url (i.e) the pre-signed URL to download the dataset + + > **curl --request GET "results.url" >> "FILE_NAME"** + + **Data schema** + + | Name | Type | Size | Description | + |---|---|---|---|---| + | FEATID | Integer | N/A | Feature ID. Unique running number. | + | TYPE | Char | N/A | Captures the type of object. | + | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | + | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | + | INC_CRC | Varchar | 50 | Sub Location Id | + | FMEL_UPD_D | Datetime | N/A | Date Updated | + | Shape__Area | Float | N/A | Area of the feature | + | Shape__Length | Float | N/A | Length of the feature | + + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides outline of fitness stations/playgrounds for all Housing Development Board of Singapore. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 15, 2021" +paths: + /microservices/data/fitnessstationplaygrnd/v1/getdata: + get: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + url: "" + status: Success + message: Successfully Processed + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + url: + type: string + description: pre-signed URL to download the file + example: "" + status: + type: string + example: Success + description: The status of the API call. success/failure + message: + type: string + example: Successfully Processed + description: Detail description on the api status + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml b/data/fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml index 79dbf7eca..3aa77f6cb 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml @@ -1,257 +1,259 @@ -openapi: 3.0.1 -info: - title: HDB Fitness Stations and Playgrounds (SG) - x-subscribelink: fitness_stations_and_playgrounds_hdb_sg - description: |+ - This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. - As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - x-additionalinfo: |+ - Suggested Use Cases: - - Real estate services - can be used as a background check solution to extract information related to the types and number of fitness stations/playgrounds present in an area for people buying or renting a HDB home. - - Download the complete dataset using a pre-signed URL. It's a two steps process. - - **Step 1:** Get the pre-signed URL - - Replace the correct x-api-key, and API endpoint - - > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" ** - **Step 2:** Download file - - Using the results.url (i.e) the pre-signed URL to download the dataset - - > **curl --request GET "results.url" >> "FILE_NAME"** - - **Data schema** - - | Name | Type | Size | Description | - |---|---|---|---|---| - | FEATID | Integer | N/A | Feature ID. Unique running number. | - | TYPE | Char | N/A | Captures the type of object. | - | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | - | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | - | INC_CRC | Varchar | 50 | Sub Location Id | - | FMEL_UPD_D | Datetime | N/A | Date Updated | - | Shape__Area | Float | N/A | Area of the feature | - | Shape__Length | Float | N/A | Length of the feature | - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Mar 24, 2020" -paths: - /DaaS/prod/hdb/amenities/gs/csv/fitnessstationplaygrnd/hdb: - get: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - url: "" - status: Success - message: Successfully Processed - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - url: - type: string - description: pre-signed URL to download the file - example: "" - status: - type: string - example: Success - description: The status of the API call. success/failure - message: - type: string - example: Successfully Processed - description: Detail description on the api status - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Fitness Stations and Playgrounds (SG) + x-subscribelink: fitness_stations_and_playgrounds_hdb_sg + description: |+ + This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. + As this is a dataset download microservice, a successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + x-additionalinfo: |+ + Suggested Use Cases: + - Real estate services - can be used as a background check solution to extract information related to the types and number of fitness stations/playgrounds present in an area for people buying or renting a HDB home. + + Download the complete dataset using a pre-signed URL. It's a two steps process. + + **Step 1:** Get the pre-signed URL + + Replace the correct x-api-key, and API endpoint + + > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" ** + **Step 2:** Download file + + Using the results.url (i.e) the pre-signed URL to download the dataset + + > **curl --request GET "results.url" >> "FILE_NAME"** + + **Data schema** + + | Name | Type | Size | Description | + |---|---|---|---|---| + | FEATID | Integer | N/A | Feature ID. Unique running number. | + | TYPE | Char | N/A | Captures the type of object. | + | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | + | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | + | INC_CRC | Varchar | 50 | Sub Location Id | + | FMEL_UPD_D | Datetime | N/A | Date Updated | + | Shape__Area | Float | N/A | Area of the feature | + | Shape__Length | Float | N/A | Length of the feature | + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides outline of fitness stations/playgrounds for all Housing Development Board of Singapore. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 24, 2020" +paths: + /DaaS/prod/hdb/amenities/gs/csv/fitnessstationplaygrnd/hdb: + get: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + url: "" + status: Success + message: Successfully Processed + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + url: + type: string + description: pre-signed URL to download the file + example: "" + status: + type: string + example: Success + description: The status of the API call. success/failure + message: + type: string + example: Successfully Processed + description: Detail description on the api status + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/flat_ownership_hdb_sg.yaml b/data/flat_ownership_hdb_sg.yaml index 453147317..bf0f1e319 100644 --- a/data/flat_ownership_hdb_sg.yaml +++ b/data/flat_ownership_hdb_sg.yaml @@ -1,459 +1,461 @@ -openapi: 3.0.1 -info: - title: HDB Flat Ownership Duration (SG) - x-subscribelink: flat_ownership_hdb_sg - description: |+ - This Data microservice returns information on flat ownership within Housing Development Board of Singapore (HDB) estates which includes the location address, postal code, length of ownership and their quantity in units. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme." - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Real estate services - for example, this microservice can be used for services that are related to HDB ownership transfer (i.e. when one transfer, include, withdraw and/or substitute owners for a flat), such as when drafting up related legal documents. - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":570251}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"street":"serangoon"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - **Match Types:** - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"serangoon central"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"serangoon central"}} - * **term** - Returns results that contain an exact term in a provided field - - > {"term":{"postalcode":560720}} - * **terms** - Returns results that contain one or more exact terms in a provided field - - > {"terms":{"postalcode":[560720,560721]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"no_of_units":{"gte":10}}} - > {"range":{"no_of_units":{"lte":50}}} - > {"range":{"no_of_units":{"gte":10,"lte":50}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"serangoon+central"}}], - > "filter":[{"match":{"postalcode":550209}}], - > "should":[{"range":{"no_of_units":{"gte":10}}}], - > "must_not":[{"match":{"len_of_ownership_id":"5"}}] - > } - **Sample Queries Based on Use Cases** - - 1. **Search for all blocks with duration of ownership equal to or exceeding 10 years in Ang Mo Kio.** - - Using a filterdata only: - - > filterdata = {"filter":[{"match":{"street":"ang mo kio"}},{"match":{"len_of_ownership_id":"1"}}]} - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/ownership/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all units (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match_phrase":{"street":"serangoon+central"}}],"filter":[{"match":{"postalcode":550209}}],"should":[{"range":{"no_of_units":{"gte":10}}}],"must_not":[{"match":{"len_of_ownership_id":"5"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 986 - max_score: 17.995623 - hits: - - _index: sentient_hdb_durationofownership_index - _type: dir_doc - _id: 050533/40} - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - postalcode: - type: integer - description: Postal code of a block - example: 560720 - len_of_ownership: - type: string - description: Range of length - example: "40 < t <= 50" - len_of_ownership_id: - type: integer - description: |+ - Length Types - 1 (t <= 10) - 2 (10 < t <= 20) - 3 (20 < t <= 30) - 4 (30 < t <= 40) - 5 (40 < t <= 50) - 6 (t > 50) - - example: "5" - no_of_units: - type: integer - description: Ownership units - example: "29" - block: - type: string - description: Address block - example: "533" - street: - type: string - description: Street Address or building name - example: "upper cross street" - xcoord: - type: string - description: SVY21 X coordinates - example: 29520.58 - ycoord: - type: string - description: SVY21 Y coordinates - example: 39311.68 - address: - type: string - description: Building full address - example: "533 upper cross street" - createddate: - type: string - description: Record first release date on sentient - example: "2020-04-23" - lastupdated: - type: string - description: Record last updated date on sentient - example: "2020-04-23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.37179535,"lon":103.8469821} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37179535 - lon: - type: string - description: WGS84 longitude - example: 103.8469821 - source: - type: string - description: Dataset source - example: hdb - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15,2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Flat Ownership Duration (SG) + x-subscribelink: flat_ownership_hdb_sg + description: |+ + This Data microservice returns information on flat ownership within Housing Development Board of Singapore (HDB) estates which includes the location address, postal code, length of ownership and their quantity in units. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme." + + **Note:** As this microservice uses the GET method, developers using this microservice must rememberinformation on flat ownership within Housing Development Board of Singapor to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Real estate services - for example, this microservice can be used for services that are related to HDB ownership transfer (i.e. when one transfer, include, withdraw and/or substitute owners for a flat), such as when drafting up related legal documents. + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":570251}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match":{"street":"serangoon"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + **Match Types:** + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"serangoon central"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"serangoon central"}} + * **term** - Returns results that contain an exact term in a provided field + + > {"term":{"postalcode":560720}} + * **terms** - Returns results that contain one or more exact terms in a provided field + + > {"terms":{"postalcode":[560720,560721]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"no_of_units":{"gte":10}}} + > {"range":{"no_of_units":{"lte":50}}} + > {"range":{"no_of_units":{"gte":10,"lte":50}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"serangoon+central"}}], + > "filter":[{"match":{"postalcode":550209}}], + > "should":[{"range":{"no_of_units":{"gte":10}}}], + > "must_not":[{"match":{"len_of_ownership_id":"5"}}] + > } + **Sample Queries Based on Use Cases** + + 1. **Search for all blocks with duration of ownership equal to or exceeding 10 years in Ang Mo Kio.** + + Using a filterdata only: + + > filterdata = {"filter":[{"match":{"street":"ang mo kio"}},{"match":{"len_of_ownership_id":"1"}}]} + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides information on flat ownership within Housing Development Board of Singapore. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 21, 2021" +paths: + /microservices/data/ownership/v1/getdata: + get: + tags: + - v1.0.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all units (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "serangoon" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match_phrase":{"street":"serangoon+central"}}],"filter":[{"match":{"postalcode":550209}}],"should":[{"range":{"no_of_units":{"gte":10}}}],"must_not":[{"match":{"len_of_ownership_id":"5"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 986 + max_score: 17.995623 + hits: + - _index: sentient_hdb_durationofownership_index + _type: dir_doc + _id: 050533/40} + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + postalcode: + type: integer + description: Postal code of a block + example: 560720 + len_of_ownership: + type: string + description: Range of length + example: "40 < t <= 50" + len_of_ownership_id: + type: integer + description: |+ + Length Types + 1 (t <= 10) + 2 (10 < t <= 20) + 3 (20 < t <= 30) + 4 (30 < t <= 40) + 5 (40 < t <= 50) + 6 (t > 50) + + example: "5" + no_of_units: + type: integer + description: Ownership units + example: "29" + block: + type: string + description: Address block + example: "533" + street: + type: string + description: Street Address or building name + example: "upper cross street" + xcoord: + type: string + description: SVY21 X coordinates + example: 29520.58 + ycoord: + type: string + description: SVY21 Y coordinates + example: 39311.68 + address: + type: string + description: Building full address + example: "533 upper cross street" + createddate: + type: string + description: Record first release date on sentient + example: "2020-04-23" + lastupdated: + type: string + description: Record last updated date on sentient + example: "2020-04-23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.37179535,"lon":103.8469821} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37179535 + lon: + type: string + description: WGS84 longitude + example: 103.8469821 + source: + type: string + description: Dataset source + example: hdb + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15,2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/flat_ownership_hdb_sg_v0.1.yaml b/data/flat_ownership_hdb_sg_v0.1.yaml index 3da357e36..8e44c0d9d 100644 --- a/data/flat_ownership_hdb_sg_v0.1.yaml +++ b/data/flat_ownership_hdb_sg_v0.1.yaml @@ -1,469 +1,471 @@ -openapi: 3.0.1 -info: - title: HDB Flat Ownership Duration (SG) - x-subscribelink: flat_ownership_hdb_sg - description: |+ - This Data microservice returns information on flat ownership within Housing Development Board of Singapore (HDB) estates and includes the location address, postal code, length of ownership and their quantity in units.The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme." - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Real estate services - for example, this microservice can be used for services that are related to HDB ownership transfer (i.e. when one transfer, include, withdraw and/or substitute owners for a flat), such as when drafting up related legal documents. - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":"570251"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"street":"serangoon"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - **Match Types:** - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - - > {"match":{"street":"serangoon"}} - - * **match_phrase** - Search within a full text field - - > {"match_phrase":{"street":"serangoon central"}} - - * **match_phrase_prefix** - Search within a full text field with prefix - - > {"match_phrase_prefix":{"street":"serangoon central"}} - - * **term** - Returns results that contain an exact term in a provided field - - > {"term":{"postalcode":"560720"}} - * **terms** - Returns results that contain one or more exact terms in a provided field - - > {"terms":{"postalcode":["560720","560721"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"no_of_units":{"gte":10}}} - > {"range":{"no_of_units":{"lte":50}}} - > {"range":{"no_of_units":{"gte":10,"lte":50}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field": "postalcode"}} - - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"serangoon+central"}}], - > "filter":[{"match":{"postalcode":"550209"}}], - > "should":[{"range":{"no_of_units":{"gte":10}}}], - > "must_not":[{"match":{"len_of_ownership_id":"5"}}] - > } - - **Sample Queries Based on Use Cases** - - 1. **Search for all blocks with duration of ownership equal to or exceeding 10 years in Ang Mo Kio.** - - Using a filterdata only: - - > filterdata = {"filter":[{"match":{"street":"ang mo kio"}},{"match":{"len_of_ownership_id":"1"}}]} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - May 15, 2020" -paths: - /DaaS/prod/hdb/ownership: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all units (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match_phrase":{"street":"serangoon+central"}}],"filter":[{"match":{"postalcode":"550209"}}],"should":[{"range":{"no_of_units":{"gte":10}}}],"must_not":[{"match":{"len_of_ownership_id":"5"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 986 - max_score: 17.995623 - hits: - - _index: sentient_durationofownership_hdb_index - _type: dir_doc - _id: 050533/40} - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - postalcode: - type: string - description: Postal code of a block - example: "560720" - len_of_ownership: - type: string - description: Range of length - example: "40 < t <= 50" - len_of_ownership_id: - type: integer - description: |+ - Length Types - 1 (t <= 10) - 2 (10 < t <= 20) - 3 (20 < t <= 30) - 4 (30 < t <= 40) - 5 (40 < t <= 50) - 6 (t > 50) - - example: "5" - no_of_units: - type: integer - description: Ownership units - example: "29" - block: - type: string - description: Address block - example: "533" - street: - type: string - description: Street Address or building name - example: "upper cross street" - xcoord: - type: string - description: SVY21 X coordinates - example: 29520.58 - ycoord: - type: string - description: SVY21 Y coordinates - example: 39311.68 - address: - type: string - description: Building full address - example: "533 upper cross street" - createddate: - type: string - description: Record first release date on sentient - example: "2020-04-23" - lastupdated: - type: string - description: Record last updated date on sentient - example: "2020-04-23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.37179535,"lon":103.8469821} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37179535 - lon: - type: string - description: WGS84 longitude - example: 103.8469821 - source: - type: string - description: Dataset source - example: hdb - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15,2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. - +openapi: 3.0.1 +info: + title: HDB Flat Ownership Duration (SG) + x-subscribelink: flat_ownership_hdb_sg + description: |+ + This Data microservice returns information on flat ownership within Housing Development Board of Singapore (HDB) estates and includes the location address, postal code, length of ownership and their quantity in units.The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme." + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Real estate services - for example, this microservice can be used for services that are related to HDB ownership transfer (i.e. when one transfer, include, withdraw and/or substitute owners for a flat), such as when drafting up related legal documents. + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":"570251"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match":{"street":"serangoon"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + **Match Types:** + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + + > {"match":{"street":"serangoon"}} + + * **match_phrase** - Search within a full text field + + > {"match_phrase":{"street":"serangoon central"}} + + * **match_phrase_prefix** - Search within a full text field with prefix + + > {"match_phrase_prefix":{"street":"serangoon central"}} + + * **term** - Returns results that contain an exact term in a provided field + + > {"term":{"postalcode":"560720"}} + * **terms** - Returns results that contain one or more exact terms in a provided field + + > {"terms":{"postalcode":["560720","560721"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"no_of_units":{"gte":10}}} + > {"range":{"no_of_units":{"lte":50}}} + > {"range":{"no_of_units":{"gte":10,"lte":50}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postalcode"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"serangoon+central"}}], + > "filter":[{"match":{"postalcode":"550209"}}], + > "should":[{"range":{"no_of_units":{"gte":10}}}], + > "must_not":[{"match":{"len_of_ownership_id":"5"}}] + > } + + **Sample Queries Based on Use Cases** + + 1. **Search for all blocks with duration of ownership equal to or exceeding 10 years in Ang Mo Kio.** + + Using a filterdata only: + + > filterdata = {"filter":[{"match":{"street":"ang mo kio"}},{"match":{"len_of_ownership_id":"1"}}]} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides information on flat ownership within Housing Development Board of Singapore. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 15, 2020" +paths: + /DaaS/prod/hdb/ownership: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all units (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "serangoon" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match_phrase":{"street":"serangoon+central"}}],"filter":[{"match":{"postalcode":"550209"}}],"should":[{"range":{"no_of_units":{"gte":10}}}],"must_not":[{"match":{"len_of_ownership_id":"5"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 986 + max_score: 17.995623 + hits: + - _index: sentient_durationofownership_hdb_index + _type: dir_doc + _id: 050533/40} + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + postalcode: + type: string + description: Postal code of a block + example: "560720" + len_of_ownership: + type: string + description: Range of length + example: "40 < t <= 50" + len_of_ownership_id: + type: integer + description: |+ + Length Types + 1 (t <= 10) + 2 (10 < t <= 20) + 3 (20 < t <= 30) + 4 (30 < t <= 40) + 5 (40 < t <= 50) + 6 (t > 50) + + example: "5" + no_of_units: + type: integer + description: Ownership units + example: "29" + block: + type: string + description: Address block + example: "533" + street: + type: string + description: Street Address or building name + example: "upper cross street" + xcoord: + type: string + description: SVY21 X coordinates + example: 29520.58 + ycoord: + type: string + description: SVY21 Y coordinates + example: 39311.68 + address: + type: string + description: Building full address + example: "533 upper cross street" + createddate: + type: string + description: Record first release date on sentient + example: "2020-04-23" + lastupdated: + type: string + description: Record last updated date on sentient + example: "2020-04-23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.37179535,"lon":103.8469821} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37179535 + lon: + type: string + description: WGS84 longitude + example: 103.8469821 + source: + type: string + description: Dataset source + example: hdb + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15,2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. + diff --git a/data/hdb_amenities_score.yaml b/data/hdb_amenities_score.yaml index be2d40e30..efbf2822d 100644 --- a/data/hdb_amenities_score.yaml +++ b/data/hdb_amenities_score.yaml @@ -1,302 +1,304 @@ - -openapi: 3.0.1 -info: - title: HDB Amenities Score - description: |+ - This Data microservice returns amenity scores for various amenity types with an input of a Singapore postal code. - version: v0.1.0 - x-subscribelink: hdb_amenities_score - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - May 12, 2021" -paths: - /microservices/data/fetchamenityscore/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - lat: 1.310163061 - lon: 103.7870838 - postalcode: 270018 - block: '18' - chas_score: 29.5454545455 - gym_score: 5.1282051282 - hawker_score: 33.3333333333 - mrt_score: 22.2222222222 - overall_amenity_score: 29.1585729086 - preschool_score: 22.2222222222 - street_name: GHIM MOH ROAD - supermarket_score: 62.5 - town: QUEENSTOWN - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - lat: - description: Latitude - example: 1.310163061 - type: float - lon: - description: Longitude - example: 103.7870838 - type: float - postalcode: - description: Postal Code - example: 270018 - type: integer - block: - description: HDB Block - example: '18' - type: string - chas_score: - description: Score denoting the accessibility of the input postalcode area with respect to chas - example: 29.5454545455 - type: float - gym_score: - description: Score denoting the accessibility of the input postalcode area with respect to gym - example: 5.1282051282 - type: float - hawker_score: - description: Score denoting the accessibility of the input postalcode area with respect to hawker centres - example: 33.3333333333 - type: float - mrt_score: - description: Score denoting the accessibility of the input postalcode area with respect to mrt - example: 22.2222222222 - type: float - overall_amenity_score: - description: Overall amenity score - example: 29.1585729086 - type: float - preschool_score: - description: Score denoting the accessibility of the input postalcode area with respect to pre schools - example: 22.2222222222 - type: float - street_name: - description: Score denoting the accessibility of the input postalcode area with respect to streets - example: GHIM MOH ROAD - type: string - supermarket_score: - description: Score denoting the accessibility of the input postalcode area with respect to supermarkets - example: 62.5 - type: float - town: - description: Score denoting the accessibility of the input postalcode area with respect to towns - example: QUEENSTOWN - type: string - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 12, 2021 - x-details: Initial Release - description: Latest Version - input: - type: object - required: - - postalcode - - properties: - postalcode: - x-name: postalcode - type: integer - default: true - example: 270018 - description: |+ - Singapore Postal Code - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: HDB Amenities Score + description: |+ + This Data microservice returns amenity scores for various amenity types with an input of a Singapore postal code. + version: v0.1.0 + x-subscribelink: hdb_amenities_score + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides amenity scores for various amenity types with an input of a Singapore postal code. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 12, 2021" +paths: + /microservices/data/fetchamenityscore/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + lat: 1.310163061 + lon: 103.7870838 + postalcode: 270018 + block: '18' + chas_score: 29.5454545455 + gym_score: 5.1282051282 + hawker_score: 33.3333333333 + mrt_score: 22.2222222222 + overall_amenity_score: 29.1585729086 + preschool_score: 22.2222222222 + street_name: GHIM MOH ROAD + supermarket_score: 62.5 + town: QUEENSTOWN + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + lat: + description: Latitude + example: 1.310163061 + type: float + lon: + description: Longitude + example: 103.7870838 + type: float + postalcode: + description: Postal Code + example: 270018 + type: integer + block: + description: HDB Block + example: '18' + type: string + chas_score: + description: Score denoting the accessibility of the input postalcode area with respect to chas + example: 29.5454545455 + type: float + gym_score: + description: Score denoting the accessibility of the input postalcode area with respect to gym + example: 5.1282051282 + type: float + hawker_score: + description: Score denoting the accessibility of the input postalcode area with respect to hawker centres + example: 33.3333333333 + type: float + mrt_score: + description: Score denoting the accessibility of the input postalcode area with respect to mrt + example: 22.2222222222 + type: float + overall_amenity_score: + description: Overall amenity score + example: 29.1585729086 + type: float + preschool_score: + description: Score denoting the accessibility of the input postalcode area with respect to pre schools + example: 22.2222222222 + type: float + street_name: + description: Score denoting the accessibility of the input postalcode area with respect to streets + example: GHIM MOH ROAD + type: string + supermarket_score: + description: Score denoting the accessibility of the input postalcode area with respect to supermarkets + example: 62.5 + type: float + town: + description: Score denoting the accessibility of the input postalcode area with respect to towns + example: QUEENSTOWN + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 12, 2021 + x-details: Initial Release + description: Latest Version + input: + type: object + required: + - postalcode + + properties: + postalcode: + x-name: postalcode + type: integer + default: true + example: 270018 + description: |+ + Singapore Postal Code + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index 9327b5807..c882a9925 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -1,376 +1,378 @@ -openapi: 3.0.1 -info: - title: LiDAR Trajectory Data - x-subscribelink: lidar_trajectory_data - description: |+ - This microservice returns information on Ishikawajima-Harima Heavy Industries(IHI) Pointcloud Data which includes the 3D Laser Radar Location of Boon Lay Way-Yuan Ching Road in Singapore. The Data comprises all the vehicle detection and does not contain any pedestrian data. The IHI LiDAR programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with IHI to manage and facilitate the sharing of data for the LiDAR Programme. - - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"seqno":43500}} - * **match** - Search within a full text field for a single word - > {"match":{"seqno":43500}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"createddate":{"gte":"now-1d/d"}}} - > {"range":{"createddate":{"lte":"now/d"}}} - > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","location": "1.3138,103.8456"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"dataclass"}} - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 23, 2021" -paths: - /microservices/data/ihidata/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - total: 1 - results: - - _id: 43349c95#11839 - _index: index_ihi_pointcloud2 - _score: - _source: - 1x: -244 - 1y: 4337 - 2x: -244 - 2y: 4468 - createddate: '2021-03-05T10:08:01.393Z' - dataclass: SD - datalen: 792 - datanumlow: 20 - datanumup: 0 - detecttime: '2020-7-7T19:26:38.232Z' - height: 160 - identify: 12 - jamlane: 0 - lastupdated: '2021-03-05T10:08:01.393Z' - length: 131 - location: - lat: '1.344893454845137' - lon: '103.72207077486455' - originid: '0x145D' - sendtime: '2020-7-7T19:26:38.252Z' - seqno: 43349 - situation: '0x02' - targetid: c95#11839 - targetidx: '0x1451' - width: 100 - xcoord: '357825.5286162619' - xspeed: 11 - ycoord: '148688.62788286374' - yspeed: 5 - _type: dir_doc - sort: - - 1614938881393 - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-02-05T12:28:29.723" - location: - type: object - description: WGS84 (World Geodetic System) lat/long coordinates. This is the standard coordinate system used Global Positioning System (GPS). - example: {"lat":1.3448589781787064,"lon":103.72224233670825} - properties: - lat: - type: string - description: WGS84 (GPS) latitude - example: "1.3448589781787064" - lon: - type: string - description: WGS84 (GPS) longitude - example: "103.72224233670825" - lat: - type: string - description: WGS84 (GPS) latitude - example: "1.3448589781787064" - lng: - type: string - description: WGS84 (GPS) longitude - example: "103.72224233670825" - angel: - type: float - description: angel - example: 5.7 - id: - type: string - description: id - example: 122002_01627 - timestamp: - description: Recods the time and date on sentient - example: "2021-02-05T12:28:29.723" - type: - type: integer - description: type - example: 11 - unique_id: - type: integer - description: uniqueid - example: 1220020162716353 - sort: - type: array - description: sort - example: 1640025797876 - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 23, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index . Default - 0 - filter: - type: array - default: false - items: - type: object - example: [{"range":{"timestamp":{"gte":"2021-02-05T14:48:04.279Z", "lte":"2021-02-05T14:48:06.279Z"}}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LiDAR Trajectory Data + x-subscribelink: lidar_trajectory_data + description: |+ + This microservice returns information on Ishikawajima-Harima Heavy Industries(IHI) Pointcloud Data which includes the 3D Laser Radar Location of Boon Lay Way-Yuan Ching Road in Singapore. The Data comprises all the vehicle detection and does not contain any pedestrian data. The IHI LiDAR programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with IHI to manage and facilitate the sharing of data for the LiDAR Programme. + + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"seqno":43500}} + * **match** - Search within a full text field for a single word + > {"match":{"seqno":43500}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"createddate":{"gte":"now-1d/d"}}} + > {"range":{"createddate":{"lte":"now/d"}}} + > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "1km","location": "1.3138,103.8456"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"dataclass"}} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides information on Ishikawajima-Harima Heavy Industries. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 23, 2021" +paths: + /microservices/data/ihidata/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + total: 1 + results: + - _id: 43349c95#11839 + _index: index_ihi_pointcloud2 + _score: + _source: + 1x: -244 + 1y: 4337 + 2x: -244 + 2y: 4468 + createddate: '2021-03-05T10:08:01.393Z' + dataclass: SD + datalen: 792 + datanumlow: 20 + datanumup: 0 + detecttime: '2020-7-7T19:26:38.232Z' + height: 160 + identify: 12 + jamlane: 0 + lastupdated: '2021-03-05T10:08:01.393Z' + length: 131 + location: + lat: '1.344893454845137' + lon: '103.72207077486455' + originid: '0x145D' + sendtime: '2020-7-7T19:26:38.252Z' + seqno: 43349 + situation: '0x02' + targetid: c95#11839 + targetidx: '0x1451' + width: 100 + xcoord: '357825.5286162619' + xspeed: 11 + ycoord: '148688.62788286374' + yspeed: 5 + _type: dir_doc + sort: + - 1614938881393 + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-02-05T12:28:29.723" + location: + type: object + description: WGS84 (World Geodetic System) lat/long coordinates. This is the standard coordinate system used Global Positioning System (GPS). + example: {"lat":1.3448589781787064,"lon":103.72224233670825} + properties: + lat: + type: string + description: WGS84 (GPS) latitude + example: "1.3448589781787064" + lon: + type: string + description: WGS84 (GPS) longitude + example: "103.72224233670825" + lat: + type: string + description: WGS84 (GPS) latitude + example: "1.3448589781787064" + lng: + type: string + description: WGS84 (GPS) longitude + example: "103.72224233670825" + angel: + type: float + description: angel + example: 5.7 + id: + type: string + description: id + example: 122002_01627 + timestamp: + description: Recods the time and date on sentient + example: "2021-02-05T12:28:29.723" + type: + type: integer + description: type + example: 11 + unique_id: + type: integer + description: uniqueid + example: 1220020162716353 + sort: + type: array + description: sort + example: 1640025797876 + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 23, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"range":{"timestamp":{"gte":"2021-02-05T14:48:04.279Z", "lte":"2021-02-05T14:48:06.279Z"}}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * geo_distance + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_car_park_availability.yaml b/data/lta_car_park_availability.yaml index 78edca895..35f9cfc15 100644 --- a/data/lta_car_park_availability.yaml +++ b/data/lta_car_park_availability.yaml @@ -1,376 +1,378 @@ -openapi: 3.0.1 -info: - title: LTA Carpark Availability - x-subscribelink: lta_car_park_availability - description: |+ - This Data microservice returns the number of available lots within Singapore's Housing Development Board (HDB), Land Transport Authority (LTA) and Urban Redevelopment Authority (URA) carparks. The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District. Updates every 1 minute. - This microservice contains information from LTA Datamall's Carpark Availability dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"agency":"LTA"}} - * **match** - Search within a full text field for a single word - > {"match":{"agency":"LTA"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"availablelots":{"gte":10}}} - > {"range":{"availablelots":{"lte":100}}} - > {"range":{"availablelots":{"gte":10,"lte":100}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","location": "1.29375,103.85718"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"area"}} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 13, 2021" -paths: - /microservices/data/ltacarparkavailabilityv2/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: 16CLTA - _index: lta_carpark_availability - _score: 0 - _source: - agency: LTA - area: Harbfront - availablelots: 900 - carparkid: '16' - development: VivoCity P3 - lastupdated: '2021-07-26T07:48:53.138Z' - location: - lat: '1.26421' - lon: '103.82263' - lottype: C - source: lta - _type: dir_doc - max_score: 0 - total: 5 - status: Successs - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - agency: - type: string - example: "LTA" - description: |+ - Agencies: - • HDB - • LTA - • URA - area: - type: string - example: Marina - description: |+ - Area of development / building: - • Orchard - • Marina - • Harbfront - • JurongLakeDistrict - availablelots: - type: number - example: 965 - description: Number of lots available at point of data retrieval. - carparkid: - type: string - example: 1 - description: A unique code for this carpark - development: - type: string - example: Suntec City - description: Major landmark or address where - carpark is located - location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude value. - lon: - type: string - example: 103.845603032574 - description: Longitude value. - example: {} - description: Latitude and Longitude map - coordinates. - lottype: - type: string - example: C - description: |+ - Type of lots: - • C (for Cars) - • H (for Heavy Vehicles) - • Y (for Motorcycles) - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 13, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - filter: - type: array - default: false - items: - type: object - example: [{"match":{"agency":"LTA"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA Carpark Availability + x-subscribelink: lta_car_park_availability + description: |+ + This Data microservice returns the number of available lots within Singapore's Housing Development Board (HDB), Land Transport Authority (LTA) and Urban Redevelopment Authority (URA) carparks. The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District. Updates every 1 minute. + This microservice contains information from LTA Datamall's Carpark Availability dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"agency":"LTA"}} + * **match** - Search within a full text field for a single word + > {"match":{"agency":"LTA"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"availablelots":{"gte":10}}} + > {"range":{"availablelots":{"lte":100}}} + > {"range":{"availablelots":{"gte":10,"lte":100}}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "1km","location": "1.29375,103.85718"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"area"}} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides number of available lots within Singapore's Housing Development Board. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 13, 2021" +paths: + /microservices/data/ltacarparkavailabilityv2/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + - _id: 16CLTA + _index: lta_carpark_availability + _score: 0 + _source: + agency: LTA + area: Harbfront + availablelots: 900 + carparkid: '16' + development: VivoCity P3 + lastupdated: '2021-07-26T07:48:53.138Z' + location: + lat: '1.26421' + lon: '103.82263' + lottype: C + source: lta + _type: dir_doc + max_score: 0 + total: 5 + status: Successs + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + agency: + type: string + example: "LTA" + description: |+ + Agencies: + • HDB + • LTA + • URA + area: + type: string + example: Marina + description: |+ + Area of development / building: + • Orchard + • Marina + • Harbfront + • JurongLakeDistrict + availablelots: + type: number + example: 965 + description: Number of lots available at point of data retrieval. + carparkid: + type: string + example: 1 + description: A unique code for this carpark + development: + type: string + example: Suntec City + description: Major landmark or address where + carpark is located + location: + type: object + properties: + lat: + type: string + example: 1.31384231654635 + description: Latitude value. + lon: + type: string + example: 103.845603032574 + description: Longitude value. + example: {} + description: Latitude and Longitude map + coordinates. + lottype: + type: string + example: C + description: |+ + Type of lots: + • C (for Cars) + • H (for Heavy Vehicles) + • Y (for Motorcycles) + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 13, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index + filter: + type: array + default: false + items: + type: object + example: [{"match":{"agency":"LTA"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * geo_distance + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index e559901c0..df0348868 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -1,462 +1,464 @@ -openapi: 3.0.1 -info: - title: LTA Carpark Availability Historical - x-subscribelink: lta_car_park_availability_historical - description: |+ - This Data microservice returns the historical no. of available lots for Housing Development Board (HDB), Land Transport Authority (LTA) and Urban Redevelopment Authority (URA) carpark data in 1 minute intervals. - The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District. - Updates every 1 minute. - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"agency":"LTA"}} - * **match** - Search within a full text field for a single word - > {"match":{"agency":"LTA"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"availablelots":{"gte":10}}} - > {"range":{"availablelots":{"lte":100}}} - > {"range":{"availablelots":{"gte":10,"lte":100}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","location": "1.29375,103.85718"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"area"}} - - **Aggregations Request Data:** - > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"agency":"LTA"}}]} - - **Last Updated Data in Time Limit:** - > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-26T17:00:00","lte": "2021-11-26T18:00:00"}}}]} - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 13, 2021" -paths: - /microservices/data/ltacarparkhistorical/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - aggregations: - hourly_aggs: - buckets: - - doc_count: 344 - key: 1633946400000 - key_as_string: 2021-10-11 10 - lot_stats: - avg: 487.59302325581393 - count: 344 - max: 2219 - min: 6 - sum: 167732 - hits: - - _id: 16CLTA - _index: lta_carpark_availability_historical - _score: 0 - _source: - agency: LTA - area: Harbfront - availablelots: 900 - carparkid: '16' - development: VivoCity P3 - lastupdated: '2021-07-26T07:48:53.138Z' - location: - lat: '1.26421' - lon: '103.82263' - lottype: C - source: lta - _type: dir_doc - max_score: 0 - total: 5 - status: Successs - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - aggregations: - type: array - example: [{} - description: Json Object of returned hits - properties: - buckets: - type: array - example: [{} - description: Lot avail status - properties: - avg: - type: float - example: 487.5930232558139 - description: Average value - count: - type: number - example: 344 - description: Total number of counts - max: - type: float - example: 2219.0 - description: Maximum of counts - min: - type: float - example: 6.0 - description: Minimum of counts - sum: - type: float - example: 167732.0 - description: Sum of values - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - agency: - type: string - example: "LTA" - description: |+ - Agencies: - • HDB - • LTA - • URA - area: - type: string - example: Marina - description: |+ - Area of development / building: - • Orchard - • Marina - • Harbfront - • JurongLakeDistrict - availablelots: - type: number - example: 965 - description: Number of lots available at point of data retrieval. - carparkid: - type: string - example: 1 - description: A unique code for this carpark - development: - type: string - example: Suntec City - description: Major landmark or address where - carpark is located - location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude value. - lon: - type: string - example: 103.845603032574 - description: Longitude value. - example: {} - description: Latitude and Longitude map - coordinates. - lottype: - type: string - example: C - description: |+ - Type of lots: - • C (for Cars) - • H (for Heavy Vehicles) - • Y (for Motorcycles) - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 13, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - aggregation: - type: boolean - default: false - example: false - description: It returns the hourly aggregation of no of incidents. Input should be true/false, default is false. - collapse: - type: boolean - default: false - example: false - description: |+ - It returns the last updated data alone based on time. Input should be true/false, default is false. collapse key - is not used for aggregation data. - filter: - type: array - default: false - items: - type: object - example: [{"match":{"agency":"LTA"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA Carpark Availability Historical + x-subscribelink: lta_car_park_availability_historical + description: |+ + This Data microservice returns the historical no. of available lots for Housing Development Board (HDB), Land Transport Authority (LTA) and Urban Redevelopment Authority (URA) carpark data in 1 minute intervals. + The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District. + Updates every 1 minute. + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"agency":"LTA"}} + * **match** - Search within a full text field for a single word + > {"match":{"agency":"LTA"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"availablelots":{"gte":10}}} + > {"range":{"availablelots":{"lte":100}}} + > {"range":{"availablelots":{"gte":10,"lte":100}}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "1km","location": "1.29375,103.85718"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"area"}} + + **Aggregations Request Data:** + > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"agency":"LTA"}}]} + + **Last Updated Data in Time Limit:** + > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-26T17:00:00","lte": "2021-11-26T18:00:00"}}}]} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides number of available lots within Singapore's Housing Development Board. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 13, 2021" +paths: + /microservices/data/ltacarparkhistorical/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + aggregations: + hourly_aggs: + buckets: + - doc_count: 344 + key: 1633946400000 + key_as_string: 2021-10-11 10 + lot_stats: + avg: 487.59302325581393 + count: 344 + max: 2219 + min: 6 + sum: 167732 + hits: + - _id: 16CLTA + _index: lta_carpark_availability_historical + _score: 0 + _source: + agency: LTA + area: Harbfront + availablelots: 900 + carparkid: '16' + development: VivoCity P3 + lastupdated: '2021-07-26T07:48:53.138Z' + location: + lat: '1.26421' + lon: '103.82263' + lottype: C + source: lta + _type: dir_doc + max_score: 0 + total: 5 + status: Successs + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + aggregations: + type: array + example: [{} + description: Json Object of returned hits + properties: + buckets: + type: array + example: [{} + description: Lot avail status + properties: + avg: + type: float + example: 487.5930232558139 + description: Average value + count: + type: number + example: 344 + description: Total number of counts + max: + type: float + example: 2219.0 + description: Maximum of counts + min: + type: float + example: 6.0 + description: Minimum of counts + sum: + type: float + example: 167732.0 + description: Sum of values + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + agency: + type: string + example: "LTA" + description: |+ + Agencies: + • HDB + • LTA + • URA + area: + type: string + example: Marina + description: |+ + Area of development / building: + • Orchard + • Marina + • Harbfront + • JurongLakeDistrict + availablelots: + type: number + example: 965 + description: Number of lots available at point of data retrieval. + carparkid: + type: string + example: 1 + description: A unique code for this carpark + development: + type: string + example: Suntec City + description: Major landmark or address where + carpark is located + location: + type: object + properties: + lat: + type: string + example: 1.31384231654635 + description: Latitude value. + lon: + type: string + example: 103.845603032574 + description: Longitude value. + example: {} + description: Latitude and Longitude map + coordinates. + lottype: + type: string + example: C + description: |+ + Type of lots: + • C (for Cars) + • H (for Heavy Vehicles) + • Y (for Motorcycles) + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 13, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index + aggregation: + type: boolean + default: false + example: false + description: It returns the hourly aggregation of no of incidents. Input should be true/false, default is false. + collapse: + type: boolean + default: false + example: false + description: |+ + It returns the last updated data alone based on time. Input should be true/false, default is false. collapse key + is not used for aggregation data. + filter: + type: array + default: false + items: + type: object + example: [{"match":{"agency":"LTA"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * geo_distance + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index 9ea8e4f6e..a375a8573 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -1,343 +1,345 @@ -openapi: 3.0.1 -info: - title: LTA Faulty Traffic Lights - x-subscribelink: lta_faulty_traffic_lights - description: |+ - This Data microservice returns alerts of traffic lights that are currently faulty, or undergoing scheduled maintenance. Updates every 2 minutes or whenever there is new data. - This microservice contains information from LTA Datamall's Faulty Traffic Lights dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"alarmid":"GL703034136"}} - * **match** - Search within a full text field for a single word - > {"match":{"alarmid":"GL703034136"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"lastupdated":{"gte":"now-1d/d"}}} - > {"range":{"lastupdated":{"lte":"now/d"}}} - > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"alarmid"}} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 13, 2021" -paths: - /microservices/data/ltafaultytrafficlights/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: '1709' - _index: lta_traffic_images - _score: 0 - _source: - - alarmID: GL703034136 - nodeID: 703034136 - type: 13 - startDate: 2014-04-12 01:58:00.0 - endDate: 2014-04-13 01:58:00.0 - message: (23/1)8:58 Flashing Yellow at Bedok North Interchange/Bedok North Street 1 Junc - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - alarmid: - type: string - example: GL703034136 - description: Technical alarm ID - nodeid: - type: string - example: 703034136 - description: A unique code to represent each - unique traffic light node - type: - type: number - example: 13 - description: Type of the technical alarm - • 4 (Blackout) - • 13 (Flashing Yellow) - startdate: - type: string - example: 2014-04-12 01:58:00.0 - description: YYYY-MM-DD HH:MM:SS.ms - enddate: - type: string - example: 2014-04-13 01:58:00.0 - description: YYYY-MM-DD HH:MM:SS.ms - (empty field if this is not a - scheduled maintenance) - message: - type: string - example: (23/1)8:58 Flashing Yellow at - Bedok North Interchange/Bedok - North Street 1 Junc - description: Canning Message - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 13, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - filter: - type: array - default: false - items: - type: object - example: [{"match" :{"type":13}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA Faulty Traffic Lights + x-subscribelink: lta_faulty_traffic_lights + description: |+ + This Data microservice returns alerts of traffic lights that are currently faulty, or undergoing scheduled maintenance. Updates every 2 minutes or whenever there is new data. + This microservice contains information from LTA Datamall's Faulty Traffic Lights dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"alarmid":"GL703034136"}} + * **match** - Search within a full text field for a single word + > {"match":{"alarmid":"GL703034136"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"lastupdated":{"gte":"now-1d/d"}}} + > {"range":{"lastupdated":{"lte":"now/d"}}} + > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"alarmid"}} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides alerts of traffic lights that are currently faulty. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 13, 2021" +paths: + /microservices/data/ltafaultytrafficlights/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + - _id: '1709' + _index: lta_traffic_images + _score: 0 + _source: + - alarmID: GL703034136 + nodeID: 703034136 + type: 13 + startDate: 2014-04-12 01:58:00.0 + endDate: 2014-04-13 01:58:00.0 + message: (23/1)8:58 Flashing Yellow at Bedok North Interchange/Bedok North Street 1 Junc + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + alarmid: + type: string + example: GL703034136 + description: Technical alarm ID + nodeid: + type: string + example: 703034136 + description: A unique code to represent each + unique traffic light node + type: + type: number + example: 13 + description: Type of the technical alarm + • 4 (Blackout) + • 13 (Flashing Yellow) + startdate: + type: string + example: 2014-04-12 01:58:00.0 + description: YYYY-MM-DD HH:MM:SS.ms + enddate: + type: string + example: 2014-04-13 01:58:00.0 + description: YYYY-MM-DD HH:MM:SS.ms + (empty field if this is not a + scheduled maintenance) + message: + type: string + example: (23/1)8:58 Flashing Yellow at + Bedok North Interchange/Bedok + North Street 1 Junc + description: Canning Message + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 13, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index + filter: + type: array + default: false + items: + type: object + example: [{"match" :{"type":13}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index e23c24c42..2fabcc6b6 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -1,352 +1,354 @@ -openapi: 3.0.1 -info: - title: LTA Passenger Volume by Bus Stops - x-subscribelink: lta_pv_bus - description: |+ - Returns tap in and tap out passenger volume by weekdays and weekends for individual bus stop. - This microservice contains information from LTA Datamall's VBS dataset which is made available under the terms of the - [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - By 15th of every month, the passenger volume for previous month data will be generated. If current date is below 15 default return - should be 2nd month data from current month, if date is after 15 return should be the last month data. - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"day_type":"WEEKDAY"}} - * **match** - Search within a full text field for a single word - > {"match":{"day_type":"WEEKDAY"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range": {"year_month": {"gte": "2021-09", "lte": "2021-10"}}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"day_type"}} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Nov 22, 2021" -paths: - /microservices/data/ltapvbus/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: 8411920211014weekday - _index: lta_vbs - _score: - _source: - day_type: WEEKDAY - lastupdated: '2021-11-22T11:06:19.492Z' - pt_code: '84119' - pt_type: BUS - source: lta - time_per_hour: '14' - total_tap_in_volume: '2918' - total_tap_out_volume: '1233' - year_month: 2021-10 - _type: _doc - sort: - - 1637579179492 - max_score: - total: 1 - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - year_month: - type: string - description: Record month and year - example: 2021-11 - day_type: - type: string - description: Should be - - WEEKDAY - - WEEKENDS/HOLIDAY - example: WEEKDAY - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-11-22T11:06:19.492Z" - pt_code: - type: integer - description: The bus stop code - example: 84119 - pt_type: - type: string - description: Type of vehicle - example: "BUS" - time_per_hour: - type: integer - description: At what time it stops at the bus stop, takes only hour - example: 13 - total_tap_in_volume: - type : integer - description: At a bus stop how many people are entering - example: 2918 - total_tap_out_volume: - type: integer - description: Same bus stop how many people are leaving - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 22, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - filter: - type: array - default: false - items: - type: object - example: [{"match" :{"day_type":"WEEKDAY"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA Passenger Volume by Bus Stops + x-subscribelink: lta_pv_bus + description: |+ + Returns tap in and tap out passenger volume by weekdays and weekends for individual bus stop. + This microservice contains information from LTA Datamall's VBS dataset which is made available under the terms of the + [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + By 15th of every month, the passenger volume for previous month data will be generated. If current date is below 15 default return + should be 2nd month data from current month, if date is after 15 return should be the last month data. + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"day_type":"WEEKDAY"}} + * **match** - Search within a full text field for a single word + > {"match":{"day_type":"WEEKDAY"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range": {"year_month": {"gte": "2021-09", "lte": "2021-10"}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"day_type"}} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides tap in and tap out passenger volume by weekdays and weekends for individual bus stop. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Nov 22, 2021" +paths: + /microservices/data/ltapvbus/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + - _id: 8411920211014weekday + _index: lta_vbs + _score: + _source: + day_type: WEEKDAY + lastupdated: '2021-11-22T11:06:19.492Z' + pt_code: '84119' + pt_type: BUS + source: lta + time_per_hour: '14' + total_tap_in_volume: '2918' + total_tap_out_volume: '1233' + year_month: 2021-10 + _type: _doc + sort: + - 1637579179492 + max_score: + total: 1 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + year_month: + type: string + description: Record month and year + example: 2021-11 + day_type: + type: string + description: Should be + - WEEKDAY + - WEEKENDS/HOLIDAY + example: WEEKDAY + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-11-22T11:06:19.492Z" + pt_code: + type: integer + description: The bus stop code + example: 84119 + pt_type: + type: string + description: Type of vehicle + example: "BUS" + time_per_hour: + type: integer + description: At what time it stops at the bus stop, takes only hour + example: 13 + total_tap_in_volume: + type : integer + description: At a bus stop how many people are entering + example: 2918 + total_tap_out_volume: + type: integer + description: Same bus stop how many people are leaving + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 22, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index + filter: + type: array + default: false + items: + type: object + example: [{"match" :{"day_type":"WEEKDAY"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index 74d17666d..ca1d71952 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -1,348 +1,350 @@ -openapi: 3.0.1 -info: - title: LTA Road Works - x-subscribelink: lta_road_works - description: |+ - This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data. - This microservice contains information from LTA Datamall's Road Works dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"road_name":"arthur"}} - * **match** - Search within a full text field for a single word - > {"match":{"road_name":"arthur"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"end_date":{"gte":"now/d"}}} - > {"range":{"end_date":{"lte":"now+100d/d"}}} - > {"range":{"end_date":{"gte":"now/d","lte":"now+100d/d"}}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"road_name"}} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 30, 2021" -paths: - /microservices/data/ltaroadworks/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - total: 1 - results: - - _id: rminrm2020122140arthurroad - _index: lta_road_works - _score: 0 - _source: - end_date: '2021-12-29' - event_id: RMINRM-202012-2140 - lastupdated: '2021-07-26T04:24:16.409Z' - other: For details - road_name: ARTHUR ROAD - source: lta - start_date: '2020-12-30' - svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION - _type: dir_doc - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - event_id: - type: string - example: RMAPP-201512-0217 - description: ID for this road work - start_date: - type: string - example: 2021-2-14 - description: Start date for the works - performed for this road work - (in YYYY-MM-DD format) - end_date: - type: string - example: 2021-3-31 - description: End date for works performed - for this road work - (in YYYY-MM-DD format) - svcdept: - type: string - example: SP POWERGRID LTD - REGIONAL - NETWORK CENTRAL - description: Department or company - performing this road work - road_name: - type: string - example: ADAM DRIVE - description: Name of road where work is - being performed. - other: - type: string - example: For details, please call 67273085 - description: Additional information or messages. - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index . Default - 0 - filter: - type: array - default: false - items: - type: object - example: [{"match":{"road_name":"arthur"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * exists - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA Road Works + x-subscribelink: lta_road_works + description: |+ + This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data. + This microservice contains information from LTA Datamall's Road Works dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"road_name":"arthur"}} + * **match** - Search within a full text field for a single word + > {"match":{"road_name":"arthur"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"end_date":{"gte":"now/d"}}} + > {"range":{"end_date":{"lte":"now+100d/d"}}} + > {"range":{"end_date":{"gte":"now/d","lte":"now+100d/d"}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"road_name"}} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 30, 2021" +paths: + /microservices/data/ltaroadworks/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + total: 1 + results: + - _id: rminrm2020122140arthurroad + _index: lta_road_works + _score: 0 + _source: + end_date: '2021-12-29' + event_id: RMINRM-202012-2140 + lastupdated: '2021-07-26T04:24:16.409Z' + other: For details + road_name: ARTHUR ROAD + source: lta + start_date: '2020-12-30' + svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION + _type: dir_doc + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + event_id: + type: string + example: RMAPP-201512-0217 + description: ID for this road work + start_date: + type: string + example: 2021-2-14 + description: Start date for the works + performed for this road work + (in YYYY-MM-DD format) + end_date: + type: string + example: 2021-3-31 + description: End date for works performed + for this road work + (in YYYY-MM-DD format) + svcdept: + type: string + example: SP POWERGRID LTD - REGIONAL + NETWORK CENTRAL + description: Department or company + performing this road work + road_name: + type: string + example: ADAM DRIVE + description: Name of road where work is + being performed. + other: + type: string + example: For details, please call 67273085 + description: Additional information or messages. + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match":{"road_name":"arthur"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * exists + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 7ddc2da7f..9582a6660 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -1,365 +1,367 @@ -openapi: 3.0.1 -info: - title: LTA Traffic Images - x-subscribelink: lta_traffic_images - description: |+ - This Data microservice returns links to images of live traffic conditions along expressways and Woodlands & Tuas Checkpoints. Updates every 1 to 5 minutes or whenever there are updates. - This microservice contains information from LTA Datamall's Traffic Images dataset which is made available under the terms of the[Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"camera_id":"1709"}} - * **match** - Search within a full text field for a single word - > {"match":{"camera_id":"1709"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"lastupdated":{"gte":"now-1d/d"}}} - > {"range":{"lastupdated":{"lte":"now/d"}}} - > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","location": "1.3138,103.8456"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"image_link"}} - - **Aggregations Request Data:** - > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"camera_id":"1709"}}]} - - **Last Updated Data in Time Limit:** - > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-26T17:00:00","lte": "2021-11-26T18:00:00"}}}]} - - **Generate Presigned URL:** - Traffic images are stored in GCP location. To access the image need to generate the presigned URL. - **End Point** - https://dev-apis.sentient.io/microservices/data/ltapresignedurl/v0/getdata - **Input Example** - {"image_link": "gs://lta_data/trafficimages/1501_20211022_194451.jpg"} - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 30, 2021" -paths: - /microservices/data/ltatrafficimagesv2/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: '1709' - _index: lta_traffic_images - _score: 0 - _source: - camera_id: '1709' - image_link: gs://lta_data/trafficimages/1501_20211022_194451.jpg - lastupdated: '2021-07-26T08:19:02.109Z' - location: - lat: 1.31384231654635 - lon: 103.845603032574 - source: lta - _type: dir_doc - max_score: 0 - total: 86 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - cameraid: - type: string - example: 1709 - description: A unique ID for this camera - imageLink: - type: string - example: 'gs://lta_data/trafficimages/1501_20211022_194451.jpg' - description: |+ - • Link for downloading this image. - location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude value. - lon: - type: string - example: 103.845603032574 - description: Longitude value. - example: {} - description: Latitude and Longitude map - coordinates. - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - aggregation: - type: boolean - default: false - example: false - description: It returns the hourly aggregation of no of incidents. Input should be true/false, default is false. - collapse: - type: boolean - default: false - example: false - description: |+ - It returns the last updated data alone based on time. Input should be true/false, default is false. collapse key - is not used for aggregation data. - filter: - type: array - default: false - items: - type: object - example: [{"match" :{"camera_id":"1709"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA Traffic Images + x-subscribelink: lta_traffic_images + description: |+ + This Data microservice returns links to images of live traffic conditions along expressways and Woodlands & Tuas Checkpoints. Updates every 1 to 5 minutes or whenever there are updates. + This microservice contains information from LTA Datamall's Traffic Images dataset which is made available under the terms of the[Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"camera_id":"1709"}} + * **match** - Search within a full text field for a single word + > {"match":{"camera_id":"1709"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"lastupdated":{"gte":"now-1d/d"}}} + > {"range":{"lastupdated":{"lte":"now/d"}}} + > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "1km","location": "1.3138,103.8456"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"image_link"}} + + **Aggregations Request Data:** + > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"camera_id":"1709"}}]} + + **Last Updated Data in Time Limit:** + > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-26T17:00:00","lte": "2021-11-26T18:00:00"}}}]} + + **Generate Presigned URL:** + Traffic images are stored in GCP location. To access the image need to generate the presigned URL. + **End Point** - https://dev-apis.sentient.io/microservices/data/ltapresignedurl/v0/getdata + **Input Example** - {"image_link": "gs://lta_data/trafficimages/1501_20211022_194451.jpg"} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides links to images of live traffic conditions. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 30, 2021" +paths: + /microservices/data/ltatrafficimagesv2/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + - _id: '1709' + _index: lta_traffic_images + _score: 0 + _source: + camera_id: '1709' + image_link: gs://lta_data/trafficimages/1501_20211022_194451.jpg + lastupdated: '2021-07-26T08:19:02.109Z' + location: + lat: 1.31384231654635 + lon: 103.845603032574 + source: lta + _type: dir_doc + max_score: 0 + total: 86 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + cameraid: + type: string + example: 1709 + description: A unique ID for this camera + imageLink: + type: string + example: 'gs://lta_data/trafficimages/1501_20211022_194451.jpg' + description: |+ + • Link for downloading this image. + location: + type: object + properties: + lat: + type: string + example: 1.31384231654635 + description: Latitude value. + lon: + type: string + example: 103.845603032574 + description: Longitude value. + example: {} + description: Latitude and Longitude map + coordinates. + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index + aggregation: + type: boolean + default: false + example: false + description: It returns the hourly aggregation of no of incidents. Input should be true/false, default is false. + collapse: + type: boolean + default: false + example: false + description: |+ + It returns the last updated data alone based on time. Input should be true/false, default is false. collapse key + is not used for aggregation data. + filter: + type: array + default: false + items: + type: object + example: [{"match" :{"camera_id":"1709"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * geo_distance + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index 5cda83afd..4ea9185b3 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -1,402 +1,404 @@ -openapi: 3.0.1 -info: - title: LTA Traffic Incidents - x-subscribelink: lta_traffic_incidents - description: |+ - This Data microservice returns real time incidents on the roads, such as Accidents, Vehicle Breakdowns, Road Blocks, Traffic Diversions etc. Updates every 2 minutes or whenever there is new data. - This microservice contains information from LTA Datamall's Traffic Incidence dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"type":"Roadwork"}} - * **match** - Search within a full text field for a single word - > {"match":{"type":"Roadwork"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"lastupdated":{"gte":"now-1d/d"}}} - > {"range":{"lastupdated":{"lte":"now/d"}}} - > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","location": "1.3265,103.9730"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"message"}} - - **Aggregations Request Data:** - > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"type":"Roadwork"}}]} - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 13, 2021" -paths: - /microservices/data/ltatrafficincidents/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - aggregations: - hourly_aggs: - buckets: - - doc_count: 2 - key: 1633932000000 - key_as_string: 2021-10-11 06 - hits: - - _id: '2671616' - _index: lta_traffic_incidents - _score: 0 - _source: - lastupdated: '2021-07-26T08:18:47.527Z' - location: - lat: 1.304494270104473 - lon: 103.82327651224641 - message: "(12/10)12:15 Roadworks on Commonwealth Avenue (towards City) after Commonwealth Drive. Avoid left lane." - messagedate: "2021-10-12T12:15:00.000Z" - source: lta - type: Roadwork - _type: dir_doc - max_score: 0 - total: 114 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - aggregations: - type: array - example: [{} - description: Json Object of returned hits - properties: - buckets: - type: array - example: [{} - description: Json Object of returned hits - properties: - type: - type: string - example: Road Works - description: |+ - Incident Types - - • Accident - • Road Works - • Vehicle Breakdown - • Weather - • Obstacle - • Road Block - • Heavy Traffic - • Misc. - • Diversion - • Unattended Vehicle - message: - type: string - example: (12/10)12:15 Roadworks on Commonwealth Avenue (towards City) after Commonwealth Drive. Avoid left lane." - description: Description message for this incident - messagedate: - type: string - example: 2021-10-12T12:15:00.000Z - description: Date separated from message info. - location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude map coordinates for the start point of this road incident - lon: - type: string - example: 103.845603032574 - description: Longitude map coordinates for the start point of this incident - example: {} - description: Latitude and Longitude map - coordinates. - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 13, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - aggregation: - type: boolean - default: false - example: false - description: It returns the hourly aggregation of no of incidents. Input should be true/false, default is false. - filter: - type: array - default: false - items: - type: object - example: [{"match" :{"type":"Roadwork"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA Traffic Incidents + x-subscribelink: lta_traffic_incidents + description: |+ + This Data microservice returns real time incidents on the roads, such as Accidents, Vehicle Breakdowns, Road Blocks, Traffic Diversions etc. Updates every 2 minutes or whenever there is new data. + This microservice contains information from LTA Datamall's Traffic Incidence dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"type":"Roadwork"}} + * **match** - Search within a full text field for a single word + > {"match":{"type":"Roadwork"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"lastupdated":{"gte":"now-1d/d"}}} + > {"range":{"lastupdated":{"lte":"now/d"}}} + > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "1km","location": "1.3265,103.9730"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"message"}} + + **Aggregations Request Data:** + > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"type":"Roadwork"}}]} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides real time incidents on the roads. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 13, 2021" +paths: + /microservices/data/ltatrafficincidents/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + aggregations: + hourly_aggs: + buckets: + - doc_count: 2 + key: 1633932000000 + key_as_string: 2021-10-11 06 + hits: + - _id: '2671616' + _index: lta_traffic_incidents + _score: 0 + _source: + lastupdated: '2021-07-26T08:18:47.527Z' + location: + lat: 1.304494270104473 + lon: 103.82327651224641 + message: "(12/10)12:15 Roadworks on Commonwealth Avenue (towards City) after Commonwealth Drive. Avoid left lane." + messagedate: "2021-10-12T12:15:00.000Z" + source: lta + type: Roadwork + _type: dir_doc + max_score: 0 + total: 114 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + aggregations: + type: array + example: [{} + description: Json Object of returned hits + properties: + buckets: + type: array + example: [{} + description: Json Object of returned hits + properties: + type: + type: string + example: Road Works + description: |+ + Incident Types - + • Accident + • Road Works + • Vehicle Breakdown + • Weather + • Obstacle + • Road Block + • Heavy Traffic + • Misc. + • Diversion + • Unattended Vehicle + message: + type: string + example: (12/10)12:15 Roadworks on Commonwealth Avenue (towards City) after Commonwealth Drive. Avoid left lane." + description: Description message for this incident + messagedate: + type: string + example: 2021-10-12T12:15:00.000Z + description: Date separated from message info. + location: + type: object + properties: + lat: + type: string + example: 1.31384231654635 + description: Latitude map coordinates for the start point of this road incident + lon: + type: string + example: 103.845603032574 + description: Longitude map coordinates for the start point of this incident + example: {} + description: Latitude and Longitude map + coordinates. + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 13, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index + aggregation: + type: boolean + default: false + example: false + description: It returns the hourly aggregation of no of incidents. Input should be true/false, default is false. + filter: + type: array + default: false + items: + type: object + example: [{"match" :{"type":"Roadwork"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * geo_distance + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_traffic_speed_bands.yaml b/data/lta_traffic_speed_bands.yaml index 2ec954f60..8ab38e525 100644 --- a/data/lta_traffic_speed_bands.yaml +++ b/data/lta_traffic_speed_bands.yaml @@ -1,400 +1,402 @@ -openapi: 3.0.1 -info: - title: LTA Traffic Speed Bands - x-subscribelink: lta_traffic_speed_bands - description: |+ - This Data microservice returns current traffic speeds on expressways and arterial roads,expressed in speed bands. Updates every 5 minutes. - This microservice contains information from LTA Datamall's Traffic Speed Bands dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"road_name":"JALAN KORMA"}} - * **match** - Search within a full text field for a single word - > {"match":{"road_name":"JALAN KORMA"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"maximum_speed":{"gte":20}}} - > {"range":{"maximum_speed":{"lte":50}}} - > {"range":{"maximum_speed":{"gte":20,"lte":100}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","start_location": "1.3170,103.8529"}} - > {"geo_distance": {"distance": "1km","end_location": "1.3166,103.8525"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"speed_band"}} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 30, 2021" -paths: - /microservices/data/ltatrafficspeedbandsv2/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: '103000000' - _index: lta_traffic_speed_bands - _score: 0 - _source: - end_location: - lat: '1.3166840028663076' - lon: '103.85259882242372' - lastupdated: '2021-07-26T18:04:26.575Z' - link_id: '103000000' - maximum_speed: '29' - minimum_speed: '20' - road_category: E - road_name: KENT ROAD - source: lta - speed_band: 3 - start_location: - lat: '1.3170142376560023' - lon: '103.85298052044503' - _type: dir_doc - max_score: 0 - total: 500 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - linkid: - type: string - example: 103000000 - description: Unique ID for this stretch of road - maximumspeed: - type: string - example: "29" - description: Maximum speed in km/h - minimumspeed: - type: string - example: "20" - description: Minimum speed in km/h - roadcategory: - type: string - example: "E" - description: |+ - * A – Expressways - * B – Major Arterial Roads - * C – Arterial Roads - * D – Minor Arterial Roads - * E – Small Roads - * F – Slip Roads - * G – No category info available - roadname: - type: string - example: "KENT ROAD" - description: Road Name - speedband: - type: number - example: 3 - description: |+ - Speed Bands Information. Total: 8 - * 1 – indicates speed range from 0 < 9 - * 2 – indicates speed range from 10 < 19 - * 3 – indicates speed range from 20 < 29 - * 4 – indicates speed range from 30 < 39 - * 5 – indicates speed range from 40 < 49 - * 6 – indicates speed range from 50 < 59 - * 7 – indicates speed range from 60 < 69 - * 8 – speed range from 70 or more - start_location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude map - coordinates for start points for this stretch of road - lon: - type: string - example: 103.845603032574 - description: Longitude map - coordinates for start points for this stretch of road - example: {} - description: Latitude and Longitude map - coordinates. - end_location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude map - coordinates for end points for this stretch of road - lon: - type: string - example: 103.845603032574 - description: Longitude map - coordinates for end points for this stretch of road - example: {} - description: Latitude and Longitude map - coordinates. - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - filter: - type: array - default: false - items: - type: object - example: [{"match" :{"road_name":"KENT ROAD"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA Traffic Speed Bands + x-subscribelink: lta_traffic_speed_bands + description: |+ + This Data microservice returns current traffic speeds on expressways and arterial roads,expressed in speed bands. Updates every 5 minutes. + This microservice contains information from LTA Datamall's Traffic Speed Bands dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"road_name":"JALAN KORMA"}} + * **match** - Search within a full text field for a single word + > {"match":{"road_name":"JALAN KORMA"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"maximum_speed":{"gte":20}}} + > {"range":{"maximum_speed":{"lte":50}}} + > {"range":{"maximum_speed":{"gte":20,"lte":100}}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "1km","start_location": "1.3170,103.8529"}} + > {"geo_distance": {"distance": "1km","end_location": "1.3166,103.8525"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"speed_band"}} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides current traffic speeds. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 30, 2021" +paths: + /microservices/data/ltatrafficspeedbandsv2/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + - _id: '103000000' + _index: lta_traffic_speed_bands + _score: 0 + _source: + end_location: + lat: '1.3166840028663076' + lon: '103.85259882242372' + lastupdated: '2021-07-26T18:04:26.575Z' + link_id: '103000000' + maximum_speed: '29' + minimum_speed: '20' + road_category: E + road_name: KENT ROAD + source: lta + speed_band: 3 + start_location: + lat: '1.3170142376560023' + lon: '103.85298052044503' + _type: dir_doc + max_score: 0 + total: 500 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + linkid: + type: string + example: 103000000 + description: Unique ID for this stretch of road + maximumspeed: + type: string + example: "29" + description: Maximum speed in km/h + minimumspeed: + type: string + example: "20" + description: Minimum speed in km/h + roadcategory: + type: string + example: "E" + description: |+ + * A – Expressways + * B – Major Arterial Roads + * C – Arterial Roads + * D – Minor Arterial Roads + * E – Small Roads + * F – Slip Roads + * G – No category info available + roadname: + type: string + example: "KENT ROAD" + description: Road Name + speedband: + type: number + example: 3 + description: |+ + Speed Bands Information. Total: 8 + * 1 – indicates speed range from 0 < 9 + * 2 – indicates speed range from 10 < 19 + * 3 – indicates speed range from 20 < 29 + * 4 – indicates speed range from 30 < 39 + * 5 – indicates speed range from 40 < 49 + * 6 – indicates speed range from 50 < 59 + * 7 – indicates speed range from 60 < 69 + * 8 – speed range from 70 or more + start_location: + type: object + properties: + lat: + type: string + example: 1.31384231654635 + description: Latitude map + coordinates for start points for this stretch of road + lon: + type: string + example: 103.845603032574 + description: Longitude map + coordinates for start points for this stretch of road + example: {} + description: Latitude and Longitude map + coordinates. + end_location: + type: object + properties: + lat: + type: string + example: 1.31384231654635 + description: Latitude map + coordinates for end points for this stretch of road + lon: + type: string + example: 103.845603032574 + description: Longitude map + coordinates for end points for this stretch of road + example: {} + description: Latitude and Longitude map + coordinates. + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index + filter: + type: array + default: false + items: + type: object + example: [{"match" :{"road_name":"KENT ROAD"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * geo_distance + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index 2ac16f315..1cbf719ee 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -1,485 +1,487 @@ -openapi: 3.0.1 -info: - title: LTA Traffic Speed Bands Historical - x-subscribelink: lta_traffic_speed_bands_historical - description: |+ - Returns historical no of current traffic speeds on expressways and arterial roads,expressed in speed bands. Updates every 5 minutes. - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"road_name":"JALAN KORMA"}} - * **match** - Search within a full text field for a single word - > {"match":{"road_name":"JALAN KORMA"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"maximum_speed":{"gte":20}}} - > {"range":{"maximum_speed":{"lte":50}}} - > {"range":{"maximum_speed":{"gte":20,"lte":100}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","start_location": "1.3170,103.8529"}} - > {"geo_distance": {"distance": "1km","end_location": "1.3166,103.8525"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"speed_band"}} - - **Aggregations Request Data:** - > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"road_name":"JALAN KORMA"}}]} - - **Last Updated Data in Time Limit:** - > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-28T01:00:00","lte": "2021-11-28T18:00:00"}}}]} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 26, 2021" -paths: - /microservices/data/ltaspeedbandhistorical/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - aggregations: - hourly_aggs: - buckets: - - doc_count: 500 - key: 1633946400000 - key_as_string: 2021-10-26 18 - speedband_stats: - avg: 3.87 - count: 500 - max: 8.0 - min: 1.0 - sum: 1935.0 - hits: - - _id: '103000000' - _index: lta_traffic_speed_bands - _score: 0 - _source: - end_location: - lat: '1.3166840028663076' - lon: '103.85259882242372' - lastupdated: '2021-07-26T18:04:26.575Z' - link_id: '103000000' - maximum_speed: '29' - minimum_speed: '20' - road_category: E - road_name: KENT ROAD - source: lta - speed_band: 3 - start_location: - lat: '1.3170142376560023' - lon: '103.85298052044503' - _type: dir_doc - max_score: 0 - total: 500 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - aggregations: - type: array - example: [{} - description: Json Object of returned hits - properties: - buckets: - type: array - example: [{} - description: Speed band status - properties: - avg: - type: float - example: 3.87 - description: Average value - count: - type: number - example: 500 - description: Total number of counts - max: - type: float - example: 8.0 - description: Maximum of counts - min: - type: float - example: 1.0 - description: Minimum of counts - sum: - type: float - example: 1935.0 - description: Sum of values - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - linkid: - type: string - example: 103000000 - description: Unique ID for this stretch of road - maximumspeed: - type: string - example: "29" - description: Maximum speed in km/h - minimumspeed: - type: string - example: "20" - description: Minimum speed in km/h - roadcategory: - type: string - example: "E" - description: |+ - * A – Expressways - * B – Major Arterial Roads - * C – Arterial Roads - * D – Minor Arterial Roads - * E – Small Roads - * F – Slip Roads - * G – No category info available - roadname: - type: string - example: "KENT ROAD" - description: Road Name - speedband: - type: number - example: 3 - description: |+ - Speed Bands Information. Total: 8 - * 1 – indicates speed range from 0 < 9 - * 2 – indicates speed range from 10 < 19 - * 3 – indicates speed range from 20 < 29 - * 4 – indicates speed range from 30 < 39 - * 5 – indicates speed range from 40 < 49 - * 6 – indicates speed range from 50 < 59 - * 7 – indicates speed range from 60 < 69 - * 8 – speed range from 70 or more - start_location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude map - coordinates for start points for this stretch of road - lon: - type: string - example: 103.845603032574 - description: Longitude map - coordinates for start points for this stretch of road - example: {} - description: Latitude and Longitude map - coordinates. - end_location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude map - coordinates for end points for this stretch of road - lon: - type: string - example: 103.845603032574 - description: Longitude map - coordinates for end points for this stretch of road - example: {} - description: Latitude and Longitude map - coordinates. - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 26, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - aggregation: - type: boolean - default: false - example: false - description: It returns the hourly aggregation of no of incidents. Input should be true/false, default is false. - collapse: - type: boolean - default: false - example: false - description: |+ - It returns the last updated data alone based on time. Input should be true/false, default is false. collapse key - is not used for aggregation data. - filter: - type: array - default: false - items: - type: object - example: [{"match" :{"road_name":"KENT ROAD"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA Traffic Speed Bands Historical + x-subscribelink: lta_traffic_speed_bands_historical + description: |+ + Returns historical no of current traffic speeds on expressways and arterial roads,expressed in speed bands. Updates every 5 minutes. + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"road_name":"JALAN KORMA"}} + * **match** - Search within a full text field for a single word + > {"match":{"road_name":"JALAN KORMA"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"maximum_speed":{"gte":20}}} + > {"range":{"maximum_speed":{"lte":50}}} + > {"range":{"maximum_speed":{"gte":20,"lte":100}}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "1km","start_location": "1.3170,103.8529"}} + > {"geo_distance": {"distance": "1km","end_location": "1.3166,103.8525"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"speed_band"}} + + **Aggregations Request Data:** + > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"road_name":"JALAN KORMA"}}]} + + **Last Updated Data in Time Limit:** + > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-28T01:00:00","lte": "2021-11-28T18:00:00"}}}]} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides current traffic speeds. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 26, 2021" +paths: + /microservices/data/ltaspeedbandhistorical/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + aggregations: + hourly_aggs: + buckets: + - doc_count: 500 + key: 1633946400000 + key_as_string: 2021-10-26 18 + speedband_stats: + avg: 3.87 + count: 500 + max: 8.0 + min: 1.0 + sum: 1935.0 + hits: + - _id: '103000000' + _index: lta_traffic_speed_bands + _score: 0 + _source: + end_location: + lat: '1.3166840028663076' + lon: '103.85259882242372' + lastupdated: '2021-07-26T18:04:26.575Z' + link_id: '103000000' + maximum_speed: '29' + minimum_speed: '20' + road_category: E + road_name: KENT ROAD + source: lta + speed_band: 3 + start_location: + lat: '1.3170142376560023' + lon: '103.85298052044503' + _type: dir_doc + max_score: 0 + total: 500 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + aggregations: + type: array + example: [{} + description: Json Object of returned hits + properties: + buckets: + type: array + example: [{} + description: Speed band status + properties: + avg: + type: float + example: 3.87 + description: Average value + count: + type: number + example: 500 + description: Total number of counts + max: + type: float + example: 8.0 + description: Maximum of counts + min: + type: float + example: 1.0 + description: Minimum of counts + sum: + type: float + example: 1935.0 + description: Sum of values + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + linkid: + type: string + example: 103000000 + description: Unique ID for this stretch of road + maximumspeed: + type: string + example: "29" + description: Maximum speed in km/h + minimumspeed: + type: string + example: "20" + description: Minimum speed in km/h + roadcategory: + type: string + example: "E" + description: |+ + * A – Expressways + * B – Major Arterial Roads + * C – Arterial Roads + * D – Minor Arterial Roads + * E – Small Roads + * F – Slip Roads + * G – No category info available + roadname: + type: string + example: "KENT ROAD" + description: Road Name + speedband: + type: number + example: 3 + description: |+ + Speed Bands Information. Total: 8 + * 1 – indicates speed range from 0 < 9 + * 2 – indicates speed range from 10 < 19 + * 3 – indicates speed range from 20 < 29 + * 4 – indicates speed range from 30 < 39 + * 5 – indicates speed range from 40 < 49 + * 6 – indicates speed range from 50 < 59 + * 7 – indicates speed range from 60 < 69 + * 8 – speed range from 70 or more + start_location: + type: object + properties: + lat: + type: string + example: 1.31384231654635 + description: Latitude map + coordinates for start points for this stretch of road + lon: + type: string + example: 103.845603032574 + description: Longitude map + coordinates for start points for this stretch of road + example: {} + description: Latitude and Longitude map + coordinates. + end_location: + type: object + properties: + lat: + type: string + example: 1.31384231654635 + description: Latitude map + coordinates for end points for this stretch of road + lon: + type: string + example: 103.845603032574 + description: Longitude map + coordinates for end points for this stretch of road + example: {} + description: Latitude and Longitude map + coordinates. + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 26, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index + aggregation: + type: boolean + default: false + example: false + description: It returns the hourly aggregation of no of incidents. Input should be true/false, default is false. + collapse: + type: boolean + default: false + example: false + description: |+ + It returns the last updated data alone based on time. Input should be true/false, default is false. collapse key + is not used for aggregation data. + filter: + type: array + default: false + items: + type: object + example: [{"match" :{"road_name":"KENT ROAD"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * geo_distance + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index 68017839c..e169bb1f7 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -1,342 +1,344 @@ -openapi: 3.0.1 -info: - title: LTA VMS - x-subscribelink: lta_vms - description: |+ - This Data microservice returns traffic advisories (via variable message services) concerning current traffic conditions that are displayed on EMAS signboards along expressways and arterial roads. Updates every 2 minutes or whenever there is new data. - This microservice contains information from LTA Datamall's VMS dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"message":"HEAVY VEHICLES"}} - * **match** - Search within a full text field for a single word - > {"match":{"message":"HEAVY VEHICLES"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"lastupdated":{"gte":"now-1d/d"}}} - > {"range":{"lastupdated":{"lte":"now/d"}}} - > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","location": "1.3270,103.8848"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"message"}} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 30, 2021" -paths: - /microservices/data/ltavms/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: avms0007 - _index: lta_vms - _score: 0 - _source: - equipment_id: AVMS_0007 - lastupdated: '2021-07-26T07:40:15.445Z' - location: - lat: 1.3170678577154424 - lon: 103.8747404794093 - message: DO NOT STOP,VEHICLE,IN TUNNEL - source: lta - _type: dir_doc - max_score: 0 - total: 35 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - equipment_id: - type: string - example: AVMS_01_00501 - description: EMAS equipment ID - message: - type: string - example: ROAD|WORKS ON|BENDEMEER - description: VEH BREAKDOWN SH,AFTU.THOMSON - location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude map coordinates of electronic signboard. - lon: - type: string - example: 103.845603032574 - description: Longitude map coordinates of electronic signboard. - example: {} - description: Latitude and Longitude map - coordinates. - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - filter: - type: array - default: false - items: - type: object - example: [{"match" :{"message":"HEAVY VEHICLES"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: LTA VMS + x-subscribelink: lta_vms + description: |+ + This Data microservice returns traffic advisories (via variable message services) concerning current traffic conditions that are displayed on EMAS signboards along expressways and arterial roads. Updates every 2 minutes or whenever there is new data. + This microservice contains information from LTA Datamall's VMS dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"message":"HEAVY VEHICLES"}} + * **match** - Search within a full text field for a single word + > {"match":{"message":"HEAVY VEHICLES"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"lastupdated":{"gte":"now-1d/d"}}} + > {"range":{"lastupdated":{"lte":"now/d"}}} + > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "1km","location": "1.3270,103.8848"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"message"}} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides traffic advisories. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 30, 2021" +paths: + /microservices/data/ltavms/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + - _id: avms0007 + _index: lta_vms + _score: 0 + _source: + equipment_id: AVMS_0007 + lastupdated: '2021-07-26T07:40:15.445Z' + location: + lat: 1.3170678577154424 + lon: 103.8747404794093 + message: DO NOT STOP,VEHICLE,IN TUNNEL + source: lta + _type: dir_doc + max_score: 0 + total: 35 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + equipment_id: + type: string + example: AVMS_01_00501 + description: EMAS equipment ID + message: + type: string + example: ROAD|WORKS ON|BENDEMEER + description: VEH BREAKDOWN SH,AFTU.THOMSON + location: + type: object + properties: + lat: + type: string + example: 1.31384231654635 + description: Latitude map coordinates of electronic signboard. + lon: + type: string + example: 103.845603032574 + description: Longitude map coordinates of electronic signboard. + example: {} + description: Latitude and Longitude map + coordinates. + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + source: + type: string + description: Dataset source + example: lta + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index + filter: + type: array + default: false + items: + type: object + example: [{"match" :{"message":"HEAVY VEHICLES"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * geo_distance + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/realtime_weather.yaml b/data/realtime_weather.yaml index f0635791d..27112cb09 100644 --- a/data/realtime_weather.yaml +++ b/data/realtime_weather.yaml @@ -1,408 +1,410 @@ -openapi: 3.0.1 -info: - title: Realtime Weather - x-subscribelink: realtime_weather - description: |+ - Current weather or realtime weather API method allows a user to get up to date current weather information. The data is returned as a Current Object. - - Current object contains current or realtime weather information for a given city. - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Feb 28, 2021" -paths: - /microservices/data/weather/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - current: - cloud: 25 - condition: - code: 1030 - icon: "//cdn.weatherapi.com/weather/64x64/day/143.png" - text: Mist - feelslike_c: 25.7 - feelslike_f: 78.3 - gust_kph: 7.9 - gust_mph: 4.9 - humidity: 83 - is_day: 1 - last_updated: 2021-02-25 08:30 - last_updated_epoch: 1614222011 - precip_in: 0 - precip_mm: 0 - pressure_in: 30.4 - pressure_mb: 1013 - temp_c: 24 - temp_f: 75.2 - uv: 1 - vis_km: 1.5 - vis_miles: 0 - wind_degree: 320 - wind_dir: NW - wind_kph: 6.1 - wind_mph: 3.8 - location: - country: India - lat: 13.08 - localtime: 2021-02-25 8:31 - localtime_epoch: 1614222076 - lon: 80.28 - name: Chennai - region: Tamil Nadu - tz_id: Asia/Kolkata - '400': - description: Restricted - content: - application/json: - schema: - $ref: '#/components/schemas/restricted' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - current: - type: object - properties: - cloud: - type: integer - example: 25 - description: Cloud cover as percentage - condition: - type: object - properties: - code: - type: integer - example: 1030 - description: Weather condition unique code. - icon: - type: string - example: //cdn.weatherapi.com/weather/64x64/day/143.png - description: Weather icon url. - text: - type: string - example: mist - description: Weather condition text. - feelslike_c: - type: float - example: 25.7 - description: Feels like temperature in celsius - feelslike_f: - type: float - example: 78.3 - description: Feels like temperature in fahrenheit - gust_kph: - type: float - example: 7.9 - description: Wind gust in kilometer per hour - gust_mph: - type: float - example: 4.9 - description: Wind gust in miles per hour - humidity: - type: integer - example: 83 - description: Humidity as percentage - is_day: - type: integer - example: 1 - description: 1 = Yes 0 = No - Whether to show day condition icon or night icon - last_updated: - type: string - example: 2021-02-25 08:30 - description: Local time when the real time data was updated. - last_updated_epoch: - type: integer - example: 21614222011 - description: Local time when the real time data was updated in unix time. - precip_in: - type: float - example: 0.0 - description: Precipitation amount in inches - precip_mm: - type: float - example: 0.0 - description: Precipitation amount in millimeters - pressure_in: - type: float - example: 30.4 - description: Pressure in inches - pressure_mb: - type: float - example: 1013.0 - description: Pressure in millibars - temp_c: - type: float - example: 24.0 - description: Temperature in celsius - temp_f: - type: float - example: 75.2 - description: Temperature in fahrenheit - uv: - type: float - example: 1.0 - description: UV Index - vis_km: - type: float - example: 1.5 - description: Average visibility in kilometer - vis_miles: - type: float - example: 0.0 - description: Average visibility in miles - wind_degree: - type: integer - example: 320 - description: Wind direction in degrees - wind_dir: - type: string - example: "NW" - description: Wind direction as 16 point compass. e.g.- NSW - wind_kph: - type: float - example: 6.1 - description: Wind speed in kilometer per hour - wind_mph: - type: float - example: 3.8 - description: Wind speed in miles per hour - location: - type: object - properties: - country: - type: string - example: India - description: Name of country - lat: - type: float - example: 13.08 - description: Latitude in decimal degree - localtime: - type: string - example: 2021-02-25 8:31 - description: Latitude in decimal degree - localtime_epoch: - type: integer - example: 1614222076 - description: Time as epoch - lon: - type: float - example: 80.28 - description: Longitude in decimal degree - name: - type: string - example: Chennai - description: City name - region: - type: string - example: Tamil Nadu - description: Region name - tz_id: - type: string - example: Asia/Kolkata - description: Time zone - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Feb 28, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - city - properties: - city: - type: string - default: true - example: punggol - description: city name - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Realtime Weather + x-subscribelink: realtime_weather + description: |+ + Current weather or realtime weather API method allows a user to get up to date current weather information. The data is returned as a Current Object. + + Current object contains current or realtime weather information for a given city. + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | String /Call + x-inputfilelimit: |+ + Process String per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up one string. + x-apidetailsdesc: |+ + Provides up to date current weather information. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Feb 28, 2021" +paths: + /microservices/data/weather/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + current: + cloud: 25 + condition: + code: 1030 + icon: "//cdn.weatherapi.com/weather/64x64/day/143.png" + text: Mist + feelslike_c: 25.7 + feelslike_f: 78.3 + gust_kph: 7.9 + gust_mph: 4.9 + humidity: 83 + is_day: 1 + last_updated: 2021-02-25 08:30 + last_updated_epoch: 1614222011 + precip_in: 0 + precip_mm: 0 + pressure_in: 30.4 + pressure_mb: 1013 + temp_c: 24 + temp_f: 75.2 + uv: 1 + vis_km: 1.5 + vis_miles: 0 + wind_degree: 320 + wind_dir: NW + wind_kph: 6.1 + wind_mph: 3.8 + location: + country: India + lat: 13.08 + localtime: 2021-02-25 8:31 + localtime_epoch: 1614222076 + lon: 80.28 + name: Chennai + region: Tamil Nadu + tz_id: Asia/Kolkata + '400': + description: Restricted + content: + application/json: + schema: + $ref: '#/components/schemas/restricted' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + current: + type: object + properties: + cloud: + type: integer + example: 25 + description: Cloud cover as percentage + condition: + type: object + properties: + code: + type: integer + example: 1030 + description: Weather condition unique code. + icon: + type: string + example: //cdn.weatherapi.com/weather/64x64/day/143.png + description: Weather icon url. + text: + type: string + example: mist + description: Weather condition text. + feelslike_c: + type: float + example: 25.7 + description: Feels like temperature in celsius + feelslike_f: + type: float + example: 78.3 + description: Feels like temperature in fahrenheit + gust_kph: + type: float + example: 7.9 + description: Wind gust in kilometer per hour + gust_mph: + type: float + example: 4.9 + description: Wind gust in miles per hour + humidity: + type: integer + example: 83 + description: Humidity as percentage + is_day: + type: integer + example: 1 + description: 1 = Yes 0 = No + Whether to show day condition icon or night icon + last_updated: + type: string + example: 2021-02-25 08:30 + description: Local time when the real time data was updated. + last_updated_epoch: + type: integer + example: 21614222011 + description: Local time when the real time data was updated in unix time. + precip_in: + type: float + example: 0.0 + description: Precipitation amount in inches + precip_mm: + type: float + example: 0.0 + description: Precipitation amount in millimeters + pressure_in: + type: float + example: 30.4 + description: Pressure in inches + pressure_mb: + type: float + example: 1013.0 + description: Pressure in millibars + temp_c: + type: float + example: 24.0 + description: Temperature in celsius + temp_f: + type: float + example: 75.2 + description: Temperature in fahrenheit + uv: + type: float + example: 1.0 + description: UV Index + vis_km: + type: float + example: 1.5 + description: Average visibility in kilometer + vis_miles: + type: float + example: 0.0 + description: Average visibility in miles + wind_degree: + type: integer + example: 320 + description: Wind direction in degrees + wind_dir: + type: string + example: "NW" + description: Wind direction as 16 point compass. e.g.- NSW + wind_kph: + type: float + example: 6.1 + description: Wind speed in kilometer per hour + wind_mph: + type: float + example: 3.8 + description: Wind speed in miles per hour + location: + type: object + properties: + country: + type: string + example: India + description: Name of country + lat: + type: float + example: 13.08 + description: Latitude in decimal degree + localtime: + type: string + example: 2021-02-25 8:31 + description: Latitude in decimal degree + localtime_epoch: + type: integer + example: 1614222076 + description: Time as epoch + lon: + type: float + example: 80.28 + description: Longitude in decimal degree + name: + type: string + example: Chennai + description: City name + region: + type: string + example: Tamil Nadu + description: Region name + tz_id: + type: string + example: Asia/Kolkata + description: Time zone + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 28, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - city + properties: + city: + type: string + default: true + example: punggol + description: city name + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/residential_sales_and_rental_hdb_sg.yaml b/data/residential_sales_and_rental_hdb_sg.yaml index 8922ce27b..9a48076b9 100644 --- a/data/residential_sales_and_rental_hdb_sg.yaml +++ b/data/residential_sales_and_rental_hdb_sg.yaml @@ -1,510 +1,512 @@ -openapi: 3.0.1 -info: - title: HDB Residential Occupancy Status (SG) - x-subscribelink: residential_sales_and_rental_hdb_sg - description: |+ - This Data microservice retreives comprehensive details of each Housing Development Board (HDB) block in Singapore including the number of units for each type of flats and whether they were sold or leased. Queries based on keywords and proximity to particular locations can be performed. Updated weekly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Information can be used to build a community app that benefits from geo-targeting family types and income groups by areas for non-profit charity/social organizations, real estate developers, property agencies, retail shops, marketing for educational sector, government agencies. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":570251}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"range":{"year_completed":{"gte":1}}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"serangoon central"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"serangoon central"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":650634}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":[650634,650633]}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"4room_sold":{"gte":50}}} - > {"range":{"4room_sold":{"lte":50}}} - > {"range":{"4room_sold":{"gte":50,"lte":70}}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postalcode"}} - - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"serangoon+central"}}], - > "filter":[{"range":{"year_completed":{"gte":1}}}], - > "should":[{"match":{"postalcode":650633}}], - > "must_not":[{"match":{"postalcode":650634}}] - > } - - - **Sample Queries Based on Use Cases** - - 1. **Search for all the four room units sold at Bishan Street 24.** - - Using a filterdata only: - - > filterdata = {"filter":[{"match_phrase": {"street":"bishan street 24"}},{"range": {"4room_sold":{"gte":1}}}]} - - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/buildinginfo/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match_phrase":{"street":"serangoon+central"}}],"filter":[{"range":{"year_completed":{"gte":1}}}],"should":[{"match":{"postalcode":650633}}],"must_not":[{"match":{"postalcode":650634}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 12150 - max_score: 1 - hits: - - _index: sentient_hdb_buildinginfo_index - _type: dir_doc - _id: '750405' - _score: 1 - _source: - postalcode: 750405 - year_completed: 1999 - total_dwelling_units: 112 - 1room_sold: 0 - 2room_sold: 0 - 3room_sold: 0 - 4room_sold: 112 - 5room_sold: 0 - exec_sold: 0 - multigen_sold: 0 - studio_apartment_sold: 0 - 1room_rental: 0 - 2room_rental: 0 - 3room_rental: 0 - other_room_rental: 0 - block: 405 - street: ADMIRALTY LINK - xcoord: 26086.0996 - ycoord: 48325.8008 - address: 405 ADMIRALTY LINK - createddate: '2019-10-17' - lastupdated: '2019-10-17' - location: - lat: 1.37179535 - lon: 103.8469821 - source: hdb - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 12150 - description: Total number of records - max_score: - type: integer - example: 1 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - postalcode: - type: integer - description: Postal code - example: 750405 - year_completed: - type: integer - description: Completed year of the Building - example: 1999 - total_dwelling_units: - type: integer - description: Total Dwelling units - example: 112 - 1room_sold: - type: integer - description: No. of one room units sold - example: 0 - 2room_sold: - type: integer - description: No. of two room units sold - example: 0 - 3room_sold: - type: integer - description: No. of three room units sold - example: 0 - 4room_sold: - type: integer - description: No. of four room units sold - example: 112 - 5room_sold: - type: integer - description: No. of five room units sold - example: 0 - exec_sold: - type: integer - description: No. of executive units sold - example: 0 - multigen_sold: - type: integer - description: No. of multi generation units sold - example: 0 - studio_apartment_sold: - type: integer - description: No. of studio units sold - example: 0 - 1room_rental: - type: integer - description: No. of one room units rented - example: 0 - 2room_rental: - type: integer - description: No. of two room units rented - example: 0 - 3room_rental: - type: integer - description: No. of three room units rented - example: 0 - other_room_rental: - type: integer - description: No. of other units rented - example: 0 - block: - type: string - description: Block Number - example: 405 - street: - type: string - description: Street - example: ADMIRALTY LINK - xcoord: - type: string - description: SVY21 X coordinates - example: 26086.0996 - ycoord: - type: string - description: SVY21 Y coordinates - example: 48325.8008 - address: - type: string - description: Full address - example: 405 ADMIRALTY LINK - createddate: - type: string - description: Record first release date on sentient - example: '2019-10-17' - lastupdated: - type: string - description: Record last updated date on sentient - example: '2019-10-17' - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.350748,"lon":103.872798} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37179535 - lon: - type: string - description: WGS84 longitude - example: 103.8469821 - source: - type: string - description: Dataset source - example: hdb - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Residential Occupancy Status (SG) + x-subscribelink: residential_sales_and_rental_hdb_sg + description: |+ + This Data microservice retreives comprehensive details of each Housing Development Board (HDB) block in Singapore including the number of units for each type of flats and whether they were sold or leased. Queries based on keywords and proximity to particular locations can be performed. Updated weekly. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Information can be used to build a community app that benefits from geo-targeting family types and income groups by areas for non-profit charity/social organizations, real estate developers, property agencies, retail shops, marketing for educational sector, government agencies. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":570251}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"range":{"year_completed":{"gte":1}}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"serangoon central"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"serangoon central"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":650634}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":[650634,650633]}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"4room_sold":{"gte":50}}} + > {"range":{"4room_sold":{"lte":50}}} + > {"range":{"4room_sold":{"gte":50,"lte":70}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{ "field": "postalcode"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"serangoon+central"}}], + > "filter":[{"range":{"year_completed":{"gte":1}}}], + > "should":[{"match":{"postalcode":650633}}], + > "must_not":[{"match":{"postalcode":650634}}] + > } + + + **Sample Queries Based on Use Cases** + + 1. **Search for all the four room units sold at Bishan Street 24.** + + Using a filterdata only: + + > filterdata = {"filter":[{"match_phrase": {"street":"bishan street 24"}},{"range": {"4room_sold":{"gte":1}}}]} + + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides comprehensive details of each Housing Development Board. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 21, 2021" +paths: + /microservices/data/buildinginfo/v1/getdata: + get: + tags: + - v1.0.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "serangoon" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match_phrase":{"street":"serangoon+central"}}],"filter":[{"range":{"year_completed":{"gte":1}}}],"should":[{"match":{"postalcode":650633}}],"must_not":[{"match":{"postalcode":650634}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 12150 + max_score: 1 + hits: + - _index: sentient_hdb_buildinginfo_index + _type: dir_doc + _id: '750405' + _score: 1 + _source: + postalcode: 750405 + year_completed: 1999 + total_dwelling_units: 112 + 1room_sold: 0 + 2room_sold: 0 + 3room_sold: 0 + 4room_sold: 112 + 5room_sold: 0 + exec_sold: 0 + multigen_sold: 0 + studio_apartment_sold: 0 + 1room_rental: 0 + 2room_rental: 0 + 3room_rental: 0 + other_room_rental: 0 + block: 405 + street: ADMIRALTY LINK + xcoord: 26086.0996 + ycoord: 48325.8008 + address: 405 ADMIRALTY LINK + createddate: '2019-10-17' + lastupdated: '2019-10-17' + location: + lat: 1.37179535 + lon: 103.8469821 + source: hdb + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 12150 + description: Total number of records + max_score: + type: integer + example: 1 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + postalcode: + type: integer + description: Postal code + example: 750405 + year_completed: + type: integer + description: Completed year of the Building + example: 1999 + total_dwelling_units: + type: integer + description: Total Dwelling units + example: 112 + 1room_sold: + type: integer + description: No. of one room units sold + example: 0 + 2room_sold: + type: integer + description: No. of two room units sold + example: 0 + 3room_sold: + type: integer + description: No. of three room units sold + example: 0 + 4room_sold: + type: integer + description: No. of four room units sold + example: 112 + 5room_sold: + type: integer + description: No. of five room units sold + example: 0 + exec_sold: + type: integer + description: No. of executive units sold + example: 0 + multigen_sold: + type: integer + description: No. of multi generation units sold + example: 0 + studio_apartment_sold: + type: integer + description: No. of studio units sold + example: 0 + 1room_rental: + type: integer + description: No. of one room units rented + example: 0 + 2room_rental: + type: integer + description: No. of two room units rented + example: 0 + 3room_rental: + type: integer + description: No. of three room units rented + example: 0 + other_room_rental: + type: integer + description: No. of other units rented + example: 0 + block: + type: string + description: Block Number + example: 405 + street: + type: string + description: Street + example: ADMIRALTY LINK + xcoord: + type: string + description: SVY21 X coordinates + example: 26086.0996 + ycoord: + type: string + description: SVY21 Y coordinates + example: 48325.8008 + address: + type: string + description: Full address + example: 405 ADMIRALTY LINK + createddate: + type: string + description: Record first release date on sentient + example: '2019-10-17' + lastupdated: + type: string + description: Record last updated date on sentient + example: '2019-10-17' + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.350748,"lon":103.872798} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37179535 + lon: + type: string + description: WGS84 longitude + example: 103.8469821 + source: + type: string + description: Dataset source + example: hdb + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/residential_sales_and_rental_hdb_sg_v0.1.yaml b/data/residential_sales_and_rental_hdb_sg_v0.1.yaml index 2082e679b..5e90374a1 100644 --- a/data/residential_sales_and_rental_hdb_sg_v0.1.yaml +++ b/data/residential_sales_and_rental_hdb_sg_v0.1.yaml @@ -1,516 +1,518 @@ -openapi: 3.0.1 -info: - title: HDB Residential Occupancy Status (SG) - x-subscribelink: residential_sales_and_rental_hdb_sg - description: |+ - This Data microservice retreives comprehensive details of each HDB block in Singapore including the number of units for each type of flats and whether they were sold or leased. Queries based on keywords and proximity to particular locations can be performed. Updated weekly. - - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Information can be used to build a community app that benefits from geo-targeting family types and income groups by areas for non-profit charity/social organizations, real estate developers, property agencies, retail shops, marketing for educational sector, government agencies. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":"570251"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"range":{"year_completed":{"gte":1}}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"serangoon central"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"serangoon central"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":"650634"}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":["650634","650633"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"4room_sold":{"gte":50}}} - > {"range":{"4room_sold":{"lte":50}}} - > {"range":{"4room_sold":{"gte":50,"lte":70}}} - - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field": "postalcode"}} - - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"serangoon+central"}}], - > "filter":[{"range":{"year_completed":{"gte":1}}}], - > "should":[{"match":{"postalcode":"650633"}}], - > "must_not":[{"match":{"postalcode":"650634"}}] - > } - - - **Sample Queries Based on Use Cases** - - 1. **Search for all the four room units sold at Bishan Street 24.** - - Using a filterdata only: - - > filterdata = {"filter":[{"match_phrase": {"street":"bishan street 24"}},{"range": {"4room_sold":{"gte":1}}}]} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 20MB/Call - x-inputfilelimit: |+ - Process up to xxx kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Nov 25, 2019" -paths: - /DaaS/prod/hdb/buildinginfo: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match_phrase":{"street":"serangoon+central"}}],"filter":[{"range":{"year_completed":{"gte":1}}}],"should":[{"match":{"postalcode":"650633"}}],"must_not":[{"match":{"postalcode":"650634"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 12150 - max_score: 1 - hits: - - _index: sentient_buildinginfo_hdb_index - _type: dir_doc - _id: '750405' - _score: 1 - _source: - postalcode: '750405' - year_completed: 1999 - total_dwelling_units: 112 - 1room_sold: 0 - 2room_sold: 0 - 3room_sold: 0 - 4room_sold: 112 - 5room_sold: 0 - exec_sold: 0 - multigen_sold: 0 - studio_apartment_sold: 0 - 1room_rental: 0 - 2room_rental: 0 - 3room_rental: 0 - other_room_rental: 0 - block: 405 - street: ADMIRALTY LINK - xcoord: 26086.0996 - ycoord: 48325.8008 - address: 405 ADMIRALTY LINK - createddate: '2019-10-17' - lastupdated: '2019-10-17' - location: - lat: 1.37179535 - lon: 103.8469821 - source: hdb - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 12150 - description: Total number of records - max_score: - type: integer - example: 1 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - postalcode: - type: string - description: Postal code - example: '750405' - year_completed: - type: integer - description: Completed year of the Building - example: 1999 - total_dwelling_units: - type: integer - description: Total Dwelling units - example: 112 - 1room_sold: - type: integer - description: No. of one room units sold - example: 0 - 2room_sold: - type: integer - description: No. of two room units sold - example: 0 - 3room_sold: - type: integer - description: No. of three room units sold - example: 0 - 4room_sold: - type: integer - description: No. of four room units sold - example: 112 - 5room_sold: - type: integer - description: No. of five room units sold - example: 0 - exec_sold: - type: integer - description: No. of executive units sold - example: 0 - multigen_sold: - type: integer - description: No. of multi generation units sold - example: 0 - studio_apartment_sold: - type: integer - description: No. of studio units sold - example: 0 - 1room_rental: - type: integer - description: No. of one room units rented - example: 0 - 2room_rental: - type: integer - description: No. of two room units rented - example: 0 - 3room_rental: - type: integer - description: No. of three room units rented - example: 0 - other_room_rental: - type: integer - description: No. of other units rented - example: 0 - block: - type: string - description: Block Number - example: 405 - street: - type: string - description: Street - example: ADMIRALTY LINK - xcoord: - type: string - description: SVY21 X coordinates - example: 26086.0996 - ycoord: - type: string - description: SVY21 Y coordinates - example: 48325.8008 - address: - type: string - description: Full address - example: 405 ADMIRALTY LINK - createddate: - type: string - description: Record first release date on sentient - example: '2019-10-17' - lastupdated: - type: string - description: Record last updated date on sentient - example: '2019-10-17' - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.350748,"lon":103.872798} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37179535 - lon: - type: string - description: WGS84 longitude - example: 103.8469821 - source: - type: string - description: Dataset source - example: hdb - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Residential Occupancy Status (SG) + x-subscribelink: residential_sales_and_rental_hdb_sg + description: |+ + This Data microservice retreives comprehensive details of each HDB block in Singapore including the number of units for each type of flats and whether they were sold or leased. Queries based on keywords and proximity to particular locations can be performed. Updated weekly. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Information can be used to build a community app that benefits from geo-targeting family types and income groups by areas for non-profit charity/social organizations, real estate developers, property agencies, retail shops, marketing for educational sector, government agencies. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":"570251"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"range":{"year_completed":{"gte":1}}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"serangoon central"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"serangoon central"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":"650634"}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":["650634","650633"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"4room_sold":{"gte":50}}} + > {"range":{"4room_sold":{"lte":50}}} + > {"range":{"4room_sold":{"gte":50,"lte":70}}} + + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postalcode"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"serangoon+central"}}], + > "filter":[{"range":{"year_completed":{"gte":1}}}], + > "should":[{"match":{"postalcode":"650633"}}], + > "must_not":[{"match":{"postalcode":"650634"}}] + > } + + + **Sample Queries Based on Use Cases** + + 1. **Search for all the four room units sold at Bishan Street 24.** + + Using a filterdata only: + + > filterdata = {"filter":[{"match_phrase": {"street":"bishan street 24"}},{"range": {"4room_sold":{"gte":1}}}]} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides comprehensive details of each Housing Development Board. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Nov 25, 2019" +paths: + /DaaS/prod/hdb/buildinginfo: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "serangoon" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match_phrase":{"street":"serangoon+central"}}],"filter":[{"range":{"year_completed":{"gte":1}}}],"should":[{"match":{"postalcode":"650633"}}],"must_not":[{"match":{"postalcode":"650634"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 12150 + max_score: 1 + hits: + - _index: sentient_buildinginfo_hdb_index + _type: dir_doc + _id: '750405' + _score: 1 + _source: + postalcode: '750405' + year_completed: 1999 + total_dwelling_units: 112 + 1room_sold: 0 + 2room_sold: 0 + 3room_sold: 0 + 4room_sold: 112 + 5room_sold: 0 + exec_sold: 0 + multigen_sold: 0 + studio_apartment_sold: 0 + 1room_rental: 0 + 2room_rental: 0 + 3room_rental: 0 + other_room_rental: 0 + block: 405 + street: ADMIRALTY LINK + xcoord: 26086.0996 + ycoord: 48325.8008 + address: 405 ADMIRALTY LINK + createddate: '2019-10-17' + lastupdated: '2019-10-17' + location: + lat: 1.37179535 + lon: 103.8469821 + source: hdb + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 12150 + description: Total number of records + max_score: + type: integer + example: 1 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + postalcode: + type: string + description: Postal code + example: '750405' + year_completed: + type: integer + description: Completed year of the Building + example: 1999 + total_dwelling_units: + type: integer + description: Total Dwelling units + example: 112 + 1room_sold: + type: integer + description: No. of one room units sold + example: 0 + 2room_sold: + type: integer + description: No. of two room units sold + example: 0 + 3room_sold: + type: integer + description: No. of three room units sold + example: 0 + 4room_sold: + type: integer + description: No. of four room units sold + example: 112 + 5room_sold: + type: integer + description: No. of five room units sold + example: 0 + exec_sold: + type: integer + description: No. of executive units sold + example: 0 + multigen_sold: + type: integer + description: No. of multi generation units sold + example: 0 + studio_apartment_sold: + type: integer + description: No. of studio units sold + example: 0 + 1room_rental: + type: integer + description: No. of one room units rented + example: 0 + 2room_rental: + type: integer + description: No. of two room units rented + example: 0 + 3room_rental: + type: integer + description: No. of three room units rented + example: 0 + other_room_rental: + type: integer + description: No. of other units rented + example: 0 + block: + type: string + description: Block Number + example: 405 + street: + type: string + description: Street + example: ADMIRALTY LINK + xcoord: + type: string + description: SVY21 X coordinates + example: 26086.0996 + ycoord: + type: string + description: SVY21 Y coordinates + example: 48325.8008 + address: + type: string + description: Full address + example: 405 ADMIRALTY LINK + createddate: + type: string + description: Record first release date on sentient + example: '2019-10-17' + lastupdated: + type: string + description: Record last updated date on sentient + example: '2019-10-17' + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.350748,"lon":103.872798} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37179535 + lon: + type: string + description: WGS84 longitude + example: 103.8469821 + source: + type: string + description: Dataset source + example: hdb + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/season_parking_availability_hdb_sg.yaml b/data/season_parking_availability_hdb_sg.yaml index 132c12e71..950c03455 100644 --- a/data/season_parking_availability_hdb_sg.yaml +++ b/data/season_parking_availability_hdb_sg.yaml @@ -1,460 +1,462 @@ -openapi: 3.0.1 -info: - title: HDB Season Parking Availability (SG) - x-subscribelink: season_parking_availability_hdb_sg - description: |+ - This Data microservice returns information on season car park availability within Housing Development Board of Singapore (HDB) estates which includes the location address, postal code, branch office, vehicle type and parking lot availability for different types of vehicle by carpark location. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Real estate services - can be used as a background check solution to extract information related to season car park availability in an area for people with certain preferences when buying or renting a HDB home. - - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":570251}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"street":"serangoon"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"bishan street 24"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"bishan street 24"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"car_park_group":"G15"}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"car_park_group":["G15","G39"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"car_park_availability":{"gte":10}}} - > {"range":{"car_park_availability":{"lte":50}}} - > {"range":{"car_park_availability":{"gte":10,"lte":50}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"serangoon north avenue 4"}}], - > "filter":[{"match":{"vehicle_type":"Y"}}], - > "should":[{"match":{"car_park_group":"G18"}}], - > "must_not":[{"match":{"postalcode":550409}}] - > } - **Sample Queries Based on Use Cases** - - 1. **Search for the parking lot availability for commercial vehicle at the carpark of 503 Serangoon North Avenue 4.** - - Using a filterdata only: - - > filterdata = {"filter":[{"match":{"street":"serangoon north avenue 4"}},{"match":{"block":"503"}},{"match":{"vehicle_type":"H"}}]} - - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/carparkavailability/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: serangoon - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}],"filter":[{"match":{"vehicle_type":"Y"}}],"should":[{"match":{"car_park_group":"G18"}}],"must_not":[{"match":{"postalcode":550409}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 13.663734 - hits: - - _index: sentient_hdb_carparklotsavailble_index - _type: dir_doc - _id: AM/G40/Y/552506 - _score: 13.663734 - _source: - branch_office: AM - car_park_group: G40 - vehicle_type: Y - car_park_availability: 15 - postalcode: 552506 - block: 506B - street: serangoon north avenue 4 - xcoord: 32714.002 - ycoord: 39399.7461 - address: 506B serangoon north avenue 4 - createddate: '2020-05-07' - lastupdated: '2020-05-07' - location: - lat: 1.37259145 - lon: 103.8756772 - source: hdb - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: float - example: 13.663734 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - branch_office: - type: string - description: Branch Office - example: AM - car_park_group: - type: string - description: Car Park Group - example: "G40" - vehicle_type: - type: string - description: |+ - Vehicle Type: - - Y - Motorcycle - H - Commercial Vehicle (>1800kg) - C - Car - S - Season (Car) - example: "Y" - car_park_availability: - type: integer - description: Car Park Availability - example: 15 - postalcode: - type: array - description: Postal code - example: 552506 - block: - type: array - description: Block - example: "506B" - street: - type: array - description: street - example: "serangoon north avenue 4" - xcoord: - type: string - description: SVY21 X coordinates - example: 32714.002 - ycoord: - type: string - description: SVY21 Y coordinates - example: 39399.7461 - address: - type: string - description: address - example: 506B serangoon north avenue 4 - source: - type: string - description: Dataset source - example: hdb - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.37259145,"lon":103.8756772} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37259145 - lon: - type: string - description: WGS84 longitude - example: 103.8756772 - createddate: - type: string - description: Record first release date on sentient - example: "2019-10-17" - lastupdated: - type: string - description: Record last updated date on sentient - example: "2019-10-17" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15,2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Season Parking Availability (SG) + x-subscribelink: season_parking_availability_hdb_sg + description: |+ + This Data microservice returns information on season car park availability within Housing Development Board of Singapore (HDB) estates which includes the location address, postal code, branch office, vehicle type and parking lot availability for different types of vehicle by carpark location. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Real estate services - can be used as a background check solution to extract information related to season car park availability in an area for people with certain preferences when buying or renting a HDB home. + - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":570251}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match":{"street":"serangoon"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"bishan street 24"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"bishan street 24"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"car_park_group":"G15"}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"car_park_group":["G15","G39"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"car_park_availability":{"gte":10}}} + > {"range":{"car_park_availability":{"lte":50}}} + > {"range":{"car_park_availability":{"gte":10,"lte":50}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"serangoon north avenue 4"}}], + > "filter":[{"match":{"vehicle_type":"Y"}}], + > "should":[{"match":{"car_park_group":"G18"}}], + > "must_not":[{"match":{"postalcode":550409}}] + > } + **Sample Queries Based on Use Cases** + + 1. **Search for the parking lot availability for commercial vehicle at the carpark of 503 Serangoon North Avenue 4.** + + Using a filterdata only: + + > filterdata = {"filter":[{"match":{"street":"serangoon north avenue 4"}},{"match":{"block":"503"}},{"match":{"vehicle_type":"H"}}]} + + version: '1.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides season car park availability within Housing Development Board. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 21, 2021" +paths: + /microservices/data/carparkavailability/v1/getdata: + get: + tags: + - v1.0.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: serangoon + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}],"filter":[{"match":{"vehicle_type":"Y"}}],"should":[{"match":{"car_park_group":"G18"}}],"must_not":[{"match":{"postalcode":550409}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 13.663734 + hits: + - _index: sentient_hdb_carparklotsavailble_index + _type: dir_doc + _id: AM/G40/Y/552506 + _score: 13.663734 + _source: + branch_office: AM + car_park_group: G40 + vehicle_type: Y + car_park_availability: 15 + postalcode: 552506 + block: 506B + street: serangoon north avenue 4 + xcoord: 32714.002 + ycoord: 39399.7461 + address: 506B serangoon north avenue 4 + createddate: '2020-05-07' + lastupdated: '2020-05-07' + location: + lat: 1.37259145 + lon: 103.8756772 + source: hdb + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: float + example: 13.663734 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + branch_office: + type: string + description: Branch Office + example: AM + car_park_group: + type: string + description: Car Park Group + example: "G40" + vehicle_type: + type: string + description: |+ + Vehicle Type: + + Y - Motorcycle + H - Commercial Vehicle (>1800kg) + C - Car + S - Season (Car) + example: "Y" + car_park_availability: + type: integer + description: Car Park Availability + example: 15 + postalcode: + type: array + description: Postal code + example: 552506 + block: + type: array + description: Block + example: "506B" + street: + type: array + description: street + example: "serangoon north avenue 4" + xcoord: + type: string + description: SVY21 X coordinates + example: 32714.002 + ycoord: + type: string + description: SVY21 Y coordinates + example: 39399.7461 + address: + type: string + description: address + example: 506B serangoon north avenue 4 + source: + type: string + description: Dataset source + example: hdb + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.37259145,"lon":103.8756772} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37259145 + lon: + type: string + description: WGS84 longitude + example: 103.8756772 + createddate: + type: string + description: Record first release date on sentient + example: "2019-10-17" + lastupdated: + type: string + description: Record last updated date on sentient + example: "2019-10-17" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15,2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/season_parking_availability_hdb_sg_v0.1.yaml b/data/season_parking_availability_hdb_sg_v0.1.yaml index 055d4339f..c3f956e95 100644 --- a/data/season_parking_availability_hdb_sg_v0.1.yaml +++ b/data/season_parking_availability_hdb_sg_v0.1.yaml @@ -1,460 +1,462 @@ -openapi: 3.0.1 -info: - title: HDB Season Parking Availability (SG) - x-subscribelink: season_parking_availability_hdb_sg - description: |+ - This Data microservice returns information on season car park availability within Housing Development Board of Singapore (HDB) estates and includes the location address, postal code, branch office, vehicle type and parking lot availability for different types of vehicle by carpark location. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Real estate services - can be used as a background check solution to extract information related to season car park availability in an area for people with certain preferences when buying or renting a HDB home. - - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":"570251"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"street":"serangoon"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"bishan street 24"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"bishan street 24"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"car_park_group":"G15"}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"car_park_group":["G15","G39"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"car_park_availability":{"gte":10}}} - > {"range":{"car_park_availability":{"lte":50}}} - > {"range":{"car_park_availability":{"gte":10,"lte":50}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"serangoon north avenue 4"}}], - > "filter":[{"match":{"vehicle_type":"Y"}}], - > "should":[{"match":{"car_park_group":"G18"}}], - > "must_not":[{"match":{"postalcode":"550409"}}] - > } - **Sample Queries Based on Use Cases** - - 1. **Search for the parking lot availability for commercial vehicle at the carpark of 503 Serangoon North Avenue 4.** - - Using a filterdata only: - - > filterdata = {"filter":[{"match":{"street":"serangoon north avenue 4"}},{"match":{"block":"503"}},{"match":{"vehicle_type":"H"}}]} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - May 15, 2020" -paths: - /DaaS/prod/hdb/carparkavailability: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: serangoon - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}],"filter":[{"match":{"vehicle_type":"Y"}}],"should":[{"match":{"car_park_group":"G18"}}],"must_not":[{"match":{"postalcode":"550409"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 13.663734 - hits: - - _index: sentient_carparklotsavailble_hdb_index - _type: dir_doc - _id: AM/G40/Y/552506 - _score: 13.663734 - _source: - branch_office: AM - car_park_group: G40 - vehicle_type: Y - car_park_availability: 15 - postalcode: '552506' - block: 506B - street: serangoon north avenue 4 - xcoord: 32714.002 - ycoord: 39399.7461 - address: 506B serangoon north avenue 4 - createddate: '2020-05-07' - lastupdated: '2020-05-07' - location: - lat: 1.37259145 - lon: 103.8756772 - source: hdb - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: float - example: 13.663734 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - branch_office: - type: string - description: Branch Office - example: AM - car_park_group: - type: string - description: Car Park Group - example: "G40" - vehicle_type: - type: string - description: |+ - Vehicle Type: - - Y - Motorcycle - H - Commercial Vehicle (>1800kg) - C - Car - S - Season (Car) - example: "Y" - car_park_availability: - type: integer - description: Car Park Availability - example: 15 - postalcode: - type: array - description: Postal code - example: "552506" - block: - type: array - description: Block - example: "506B" - street: - type: array - description: street - example: "serangoon north avenue 4" - xcoord: - type: string - description: SVY21 X coordinates - example: 32714.002 - ycoord: - type: string - description: SVY21 Y coordinates - example: 39399.7461 - address: - type: string - description: address - example: 506B serangoon north avenue 4 - source: - type: string - description: Dataset source - example: hdb - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.37259145,"lon":103.8756772} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.37259145 - lon: - type: string - description: WGS84 longitude - example: 103.8756772 - createddate: - type: string - description: Record first release date on sentient - example: "2019-10-17" - lastupdated: - type: string - description: Record last updated date on sentient - example: "2019-10-17" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15,2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: HDB Season Parking Availability (SG) + x-subscribelink: season_parking_availability_hdb_sg + description: |+ + This Data microservice returns information on season car park availability within Housing Development Board of Singapore (HDB) estates and includes the location address, postal code, branch office, vehicle type and parking lot availability for different types of vehicle by carpark location. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Real estate services - can be used as a background check solution to extract information related to season car park availability in an area for people with certain preferences when buying or renting a HDB home. + - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":"570251"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match":{"street":"serangoon"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"bishan street 24"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"bishan street 24"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"car_park_group":"G15"}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"car_park_group":["G15","G39"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"car_park_availability":{"gte":10}}} + > {"range":{"car_park_availability":{"lte":50}}} + > {"range":{"car_park_availability":{"gte":10,"lte":50}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"serangoon north avenue 4"}}], + > "filter":[{"match":{"vehicle_type":"Y"}}], + > "should":[{"match":{"car_park_group":"G18"}}], + > "must_not":[{"match":{"postalcode":"550409"}}] + > } + **Sample Queries Based on Use Cases** + + 1. **Search for the parking lot availability for commercial vehicle at the carpark of 503 Serangoon North Avenue 4.** + + Using a filterdata only: + + > filterdata = {"filter":[{"match":{"street":"serangoon north avenue 4"}},{"match":{"block":"503"}},{"match":{"vehicle_type":"H"}}]} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides season car park availability within Housing Development Board. +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 15, 2020" +paths: + /DaaS/prod/hdb/carparkavailability: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: serangoon + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}],"filter":[{"match":{"vehicle_type":"Y"}}],"should":[{"match":{"car_park_group":"G18"}}],"must_not":[{"match":{"postalcode":"550409"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 13.663734 + hits: + - _index: sentient_carparklotsavailble_hdb_index + _type: dir_doc + _id: AM/G40/Y/552506 + _score: 13.663734 + _source: + branch_office: AM + car_park_group: G40 + vehicle_type: Y + car_park_availability: 15 + postalcode: '552506' + block: 506B + street: serangoon north avenue 4 + xcoord: 32714.002 + ycoord: 39399.7461 + address: 506B serangoon north avenue 4 + createddate: '2020-05-07' + lastupdated: '2020-05-07' + location: + lat: 1.37259145 + lon: 103.8756772 + source: hdb + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: float + example: 13.663734 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + branch_office: + type: string + description: Branch Office + example: AM + car_park_group: + type: string + description: Car Park Group + example: "G40" + vehicle_type: + type: string + description: |+ + Vehicle Type: + + Y - Motorcycle + H - Commercial Vehicle (>1800kg) + C - Car + S - Season (Car) + example: "Y" + car_park_availability: + type: integer + description: Car Park Availability + example: 15 + postalcode: + type: array + description: Postal code + example: "552506" + block: + type: array + description: Block + example: "506B" + street: + type: array + description: street + example: "serangoon north avenue 4" + xcoord: + type: string + description: SVY21 X coordinates + example: 32714.002 + ycoord: + type: string + description: SVY21 Y coordinates + example: 39399.7461 + address: + type: string + description: address + example: 506B serangoon north avenue 4 + source: + type: string + description: Dataset source + example: hdb + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.37259145,"lon":103.8756772} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.37259145 + lon: + type: string + description: WGS84 longitude + example: 103.8756772 + createddate: + type: string + description: Record first release date on sentient + example: "2019-10-17" + lastupdated: + type: string + description: Record last updated date on sentient + example: "2019-10-17" + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15,2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/data/train_stations_sg.yaml b/data/train_stations_sg.yaml index d567c5375..406c8a7eb 100644 --- a/data/train_stations_sg.yaml +++ b/data/train_stations_sg.yaml @@ -1,358 +1,360 @@ -openapi: 3.0.1 -info: - title: Train Stations (SG) - x-subscribelink: train_stations_sg - description: |+ - This data microservice returns search results for all train stations in Singapore, including the Mass Rapid Transit (MRT) and Light Rail Transit (LRT) stations as of Dec 2020. Returned results includes details such as location, station ID and track line name. - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"station_name":"NEWTON MRT STATION"}} - * **match** - Search within a full text field for a single word - > {"match":{"station_name":"NEWTON"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"lastupdated":{"lte":"now/d"}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","location": "1.3138,103.8456"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"station_name"}} - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 29, 2021" -paths: - /microservices/data/sgmrtlrt/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - total: 1 - results: - _id: BP02 - _index: sentient_sg_mrt_lrt - _score: null - _source: - color: OTHERS - id: 66 - lastupdated: '2021-09-29T20:25:54.044Z' - latitude: 1.3802982869999998 - line_name: Bukit Panjang LRT - location: - lat: 1.3802982869999998 - lon: 103.7453173 - longitude: 103.7453173 - station_name: SOUTH VIEW LRT STATION - station_id: BP02 - x: 18203.7243 - 'y': 40252.0686 - _type: dir_doc - sort: - - 1632947154044 - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - color: - type: string - description: Track line color - example: "OTHERS" - id: - type: string - description: Row Identification - example: 66 - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-03-04T03:29:14.930Z" - location: - type: object - description: Latitude and Longitude map coordinates. - example: {"lat":1.3802982869999998,"lon":103.7453173} - properties: - lat: - type: string - description: Latitude map coordinates for station - example: "1.3802982869999998" - lon: - type: string - description: Longitude map coordinates for station - example: "103.7453173" - line_name: - type: string - description: Track Line Name - example: Bukit Panjang LRT - station_name: - type: string - description: Track Line Name - example: SOUTH VIEW LRT STATION - station_id: - type: string - description: Station Number - example: "BP02" - x: - type: number - description: X coordinates - example: 18203.7243 - y: - type: number - description: Y coordinates - example: 40252.0686 - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 29, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index . Default - 0 - filter: - type: array - default: false - items: - type: object - example: [{"match_phrase":{"station_name":"NEWTON MRT STATION"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Train Stations (SG) + x-subscribelink: train_stations_sg + description: |+ + This data microservice returns search results for all train stations in Singapore, including the Mass Rapid Transit (MRT) and Light Rail Transit (LRT) stations as of Dec 2020. Returned results includes details such as location, station ID and track line name. + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"station_name":"NEWTON MRT STATION"}} + * **match** - Search within a full text field for a single word + > {"match":{"station_name":"NEWTON"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"lastupdated":{"lte":"now/d"}}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "1km","location": "1.3138,103.8456"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"station_name"}} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides results for all train stations in Singapore. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 29, 2021" +paths: + /microservices/data/sgmrtlrt/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + total: 1 + results: + _id: BP02 + _index: sentient_sg_mrt_lrt + _score: null + _source: + color: OTHERS + id: 66 + lastupdated: '2021-09-29T20:25:54.044Z' + latitude: 1.3802982869999998 + line_name: Bukit Panjang LRT + location: + lat: 1.3802982869999998 + lon: 103.7453173 + longitude: 103.7453173 + station_name: SOUTH VIEW LRT STATION + station_id: BP02 + x: 18203.7243 + 'y': 40252.0686 + _type: dir_doc + sort: + - 1632947154044 + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + color: + type: string + description: Track line color + example: "OTHERS" + id: + type: string + description: Row Identification + example: 66 + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-03-04T03:29:14.930Z" + location: + type: object + description: Latitude and Longitude map coordinates. + example: {"lat":1.3802982869999998,"lon":103.7453173} + properties: + lat: + type: string + description: Latitude map coordinates for station + example: "1.3802982869999998" + lon: + type: string + description: Longitude map coordinates for station + example: "103.7453173" + line_name: + type: string + description: Track Line Name + example: Bukit Panjang LRT + station_name: + type: string + description: Track Line Name + example: SOUTH VIEW LRT STATION + station_id: + type: string + description: Station Number + example: "BP02" + x: + type: number + description: X coordinates + example: 18203.7243 + y: + type: number + description: Y coordinates + example: 40252.0686 + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 29, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"station_name":"NEWTON MRT STATION"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * geo_distance + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data/trajectory_clustering.yaml b/data/trajectory_clustering.yaml index 0aaf572c2..281299d9b 100644 --- a/data/trajectory_clustering.yaml +++ b/data/trajectory_clustering.yaml @@ -1,295 +1,297 @@ - openapi: 3.0.1 - info: - title: Trajectory Clustering - description: |+ - This Data Analytics microservice groups the input trajectories of objects into clusters based on positions and velocity. A target object can be anything mobile that is continuously tracked or "pinged-back" (e.g. vehicles, mobile phones). - The clustering algorithm requires a set of trajectories. Each trajectory has a unique id (e.g. t1, t2) and a sequence of 2D points (X-Y coordinates and corresponding timestamps). - See additional information for relationship of target objects and their trajectories. - version: '0.1.0' - x-additionalinfo: |+ - In the ideal case, each trajectory should be mapped exactly to one target object. Due to known limitations of the tracking algorithms, sometimes a single target can have multiple trajectories/tracks. In less common cases of errors, multiple targets are combined into one trajectory/track. - x-subscribelink: trajectory_clustering - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - servers: - - url: 'https://apis.sentient.io' - tags: - - name: "v0.1.0" - description: "Published Date - Apr 07, 2021" - paths: - /microservices/data/trajectoryclustering/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"0": ["t1","t2"],"1":["t3","t4","t5"]},"status": "Success"} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - : - x-name: - type: array - example: ["t1","t2"] - description: Group id where the tracks are being clustered. Values dependent on existing group detected sensitive to training dataset. Cluster -1 is a special cluster of which its members are unassigned. Each value within a cluster contains track id - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: Initial version release - description: Lastest Version - input: - type: object - required: - - trajectories - properties: - trajectories: - x-name: trajectories - type: array - default: true - example: [ - {"tid": "t1", "time": "2021-01-01T18:19:40.863000Z", "x": 360, "y": 851}, - {"tid": "t1", "time": "2021-01-01T18:19:41.863000Z", "x": 361, "y": 852}, - {"tid": "t1", "time": "2021-01-01T18:19:42.863000Z", "x": 362, "y": 853}, - {"tid": "t1", "time": "2021-01-01T18:19:40.863000Z", "x": 370, "y": 859}, - {"tid": "t2", "time": "2021-01-01T18:19:41.863000Z", "x": 369, "y": 858}, - {"tid": "t2", "time": "2021-01-01T18:19:42.863000Z", "x": 368, "y": 857}, - {"tid": "t2", "time": "2021-01-01T18:19:43.863000Z", "x": 367, "y": 856}, - {"tid": "t3", "time": "2021-01-01T18:40:20.171000Z", "x": 321, "y": 888}, - {"tid": "t3", "time": "2021-01-01T18:40:22.171000Z", "x": 331, "y": 888}, - {"tid": "t3", "time": "2021-01-01T18:40:24.171000Z", "x": 341, "y": 888}, - {"tid": "t3", "time": "2021-01-01T18:40:26.171000Z", "x": 351, "y": 888}, - {"tid": "t3", "time": "2021-01-01T18:40:28.171000Z", "x": 361, "y": 888}, - {"tid": "t3", "time": "2021-01-01T18:40:30.171000Z", "x": 371, "y": 888}, - {"tid": "t3", "time": "2021-01-01T18:40:32.171000Z", "x": 381, "y": 888}, - {"tid": "t3", "time": "2021-01-01T18:40:34.171000Z", "x": 391, "y": 888}, - {"tid": "t4", "time": "2021-01-01T18:40:20.171000Z", "x": 322, "y": 883}, - {"tid": "t4", "time": "2021-01-01T18:40:24.171000Z", "x": 342, "y": 883}, - {"tid": "t4", "time": "2021-01-01T18:40:26.171000Z", "x": 352, "y": 883}, - {"tid": "t4", "time": "2021-01-01T18:40:28.171000Z", "x": 362, "y": 883}, - {"tid": "t4", "time": "2021-01-01T18:40:30.171000Z", "x": 372, "y": 883}, - {"tid": "t4", "time": "2021-01-01T18:40:32.171000Z", "x": 382, "y": 883}, - {"tid": "t4", "time": "2021-01-01T18:40:34.171000Z", "x": 392, "y": 883}, - {"tid": "t5", "time": "2021-01-01T18:40:24.171000Z", "x": 342, "y": 883}, - {"tid": "t5", "time": "2021-01-01T18:40:28.171000Z", "x": 362, "y": 883}, - {"tid": "t5", "time": "2021-01-01T18:40:30.171000Z", "x": 372, "y": 883}, - {"tid": "t5", "time": "2021-01-01T18:40:34.171000Z", "x": 392, "y": 883} - ] - description: |+ - List of trajectory dictionary - items: - oneOf: - - type: object - properties: - tid: - x-name: tid - type: string - default: false - example: 61568 - description: |+ - Unique ID for each trajectory or trip - time: - x-name: time - type: string - default: false - example: 2020-07-07T18:19:54.362000Z - description: |+ - Timestamp when the location is recorded. In Date.toJSON() format. E.g. 2012-04-23T18:25:43.511Z - x: - x-name: x - type: integer - default: false - example: 888 - description: |+ - 2D Location coordinates in X,Y - y: - x-name: "y" - type: integer - default: false - example: 2463 - description: |+ - 2D Location coordinates in X,Y - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + openapi: 3.0.1 + info: + title: Trajectory Clustering + description: |+ + This Data Analytics microservice groups the input trajectories of objects into clusters based on positions and velocity. A target object can be anything mobile that is continuously tracked or "pinged-back" (e.g. vehicles, mobile phones). + The clustering algorithm requires a set of trajectories. Each trajectory has a unique id (e.g. t1, t2) and a sequence of 2D points (X-Y coordinates and corresponding timestamps). + See additional information for relationship of target objects and their trajectories. + version: '0.1.0' + x-additionalinfo: |+ + In the ideal case, each trajectory should be mapped exactly to one target object. Due to known limitations of the tracking algorithms, sometimes a single target can have multiple trajectories/tracks. In less common cases of errors, multiple targets are combined into one trajectory/track. + x-subscribelink: trajectory_clustering + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Group input trajectories of objects into clusters based on positions and velocity. + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v0.1.0" + description: "Published Date - Apr 07, 2021" + paths: + /microservices/data/trajectoryclustering/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message": "Successfully Processed","results": {"0": ["t1","t2"],"1":["t3","t4","t5"]},"status": "Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + : + x-name: + type: array + example: ["t1","t2"] + description: Group id where the tracks are being clustered. Values dependent on existing group detected sensitive to training dataset. Cluster -1 is a special cluster of which its members are unassigned. Each value within a cluster contains track id + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Initial version release + description: Lastest Version + input: + type: object + required: + - trajectories + properties: + trajectories: + x-name: trajectories + type: array + default: true + example: [ + {"tid": "t1", "time": "2021-01-01T18:19:40.863000Z", "x": 360, "y": 851}, + {"tid": "t1", "time": "2021-01-01T18:19:41.863000Z", "x": 361, "y": 852}, + {"tid": "t1", "time": "2021-01-01T18:19:42.863000Z", "x": 362, "y": 853}, + {"tid": "t1", "time": "2021-01-01T18:19:40.863000Z", "x": 370, "y": 859}, + {"tid": "t2", "time": "2021-01-01T18:19:41.863000Z", "x": 369, "y": 858}, + {"tid": "t2", "time": "2021-01-01T18:19:42.863000Z", "x": 368, "y": 857}, + {"tid": "t2", "time": "2021-01-01T18:19:43.863000Z", "x": 367, "y": 856}, + {"tid": "t3", "time": "2021-01-01T18:40:20.171000Z", "x": 321, "y": 888}, + {"tid": "t3", "time": "2021-01-01T18:40:22.171000Z", "x": 331, "y": 888}, + {"tid": "t3", "time": "2021-01-01T18:40:24.171000Z", "x": 341, "y": 888}, + {"tid": "t3", "time": "2021-01-01T18:40:26.171000Z", "x": 351, "y": 888}, + {"tid": "t3", "time": "2021-01-01T18:40:28.171000Z", "x": 361, "y": 888}, + {"tid": "t3", "time": "2021-01-01T18:40:30.171000Z", "x": 371, "y": 888}, + {"tid": "t3", "time": "2021-01-01T18:40:32.171000Z", "x": 381, "y": 888}, + {"tid": "t3", "time": "2021-01-01T18:40:34.171000Z", "x": 391, "y": 888}, + {"tid": "t4", "time": "2021-01-01T18:40:20.171000Z", "x": 322, "y": 883}, + {"tid": "t4", "time": "2021-01-01T18:40:24.171000Z", "x": 342, "y": 883}, + {"tid": "t4", "time": "2021-01-01T18:40:26.171000Z", "x": 352, "y": 883}, + {"tid": "t4", "time": "2021-01-01T18:40:28.171000Z", "x": 362, "y": 883}, + {"tid": "t4", "time": "2021-01-01T18:40:30.171000Z", "x": 372, "y": 883}, + {"tid": "t4", "time": "2021-01-01T18:40:32.171000Z", "x": 382, "y": 883}, + {"tid": "t4", "time": "2021-01-01T18:40:34.171000Z", "x": 392, "y": 883}, + {"tid": "t5", "time": "2021-01-01T18:40:24.171000Z", "x": 342, "y": 883}, + {"tid": "t5", "time": "2021-01-01T18:40:28.171000Z", "x": 362, "y": 883}, + {"tid": "t5", "time": "2021-01-01T18:40:30.171000Z", "x": 372, "y": 883}, + {"tid": "t5", "time": "2021-01-01T18:40:34.171000Z", "x": 392, "y": 883} + ] + description: |+ + List of trajectory dictionary + items: + oneOf: + - type: object + properties: + tid: + x-name: tid + type: string + default: false + example: 61568 + description: |+ + Unique ID for each trajectory or trip + time: + x-name: time + type: string + default: false + example: 2020-07-07T18:19:54.362000Z + description: |+ + Timestamp when the location is recorded. In Date.toJSON() format. E.g. 2012-04-23T18:25:43.511Z + x: + x-name: x + type: integer + default: false + example: 888 + description: |+ + 2D Location coordinates in X,Y + y: + x-name: "y" + type: integer + default: false + example: 2463 + description: |+ + 2D Location coordinates in X,Y + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From e8c63c63c29136bb21d9be03c302967f5285df03 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 27 Dec 2021 16:36:38 +0530 Subject: [PATCH 3179/5916] Add files via upload --- nlp/google_translate.yaml | 726 ++++++------ nlp/inverse_text_normalisation_eng.yaml | 524 ++++----- nlp/inverse_text_normalisation_eng_v0.1.yaml | 500 ++++---- nlp/named-entity_recognition_eng.yaml | 566 ++++----- nlp/named-entity_recognition_eng_v0.1.yaml | 556 ++++----- nlp/named-entity_recognition_jp.yaml | 686 +++++------ nlp/named-entity_recognition_jp_v0.1.yaml | 538 ++++----- nlp/named-entity_recognition_thai.yaml | 690 +++++------ nlp/named-entity_recognition_thai_v0.1.yaml | 502 ++++---- nlp/page_profiler_eng.yaml | 576 ++++----- nlp/page_profiler_eng_v0.1.yaml | 542 ++++----- nlp/page_profiler_eng_v2.0.yaml | 484 ++++---- nlp/page_profiler_jp.yaml | 700 +++++------ nlp/page_profiler_thai.yaml | 722 ++++++------ nlp/script_alignment.yaml | 632 +++++----- nlp/script_alignment_v0.1.yaml | 596 +++++----- ...timent_analysis_and_sarcasm_detection.yaml | 598 +++++----- nlp/spacy_ner.yaml | 688 +++++------ nlp/spacy_ner_v0.1.yaml | 660 +++++------ nlp/taxonomy_matcher_eng.yaml | 558 ++++----- nlp/taxonomy_matcher_eng_v0.1.yaml | 512 ++++---- nlp/text_summarization.yaml | 534 ++++----- nlp/text_summarization_large_file.yaml | 1030 ++++++++-------- nlp/word_scoring_and_suggestions.yaml | 560 ++++----- nlp/word_sense_disambiguation_eng.yaml | 680 +++++------ nlp/word_sense_disambiguation_eng_v0.1.yaml | 648 +++++----- utility/audio_processing_utility.yaml | 532 ++++----- utility/base64_file_decode.yaml | 466 ++++---- utility/base64_file_encode.yaml | 500 ++++---- utility/csv-json_convertor.yaml | 490 ++++---- utility/date_resolution.yaml | 660 +++++------ utility/decryption_for_pki_key.yaml | 476 ++++---- utility/document_conversion_eng.yaml | 498 ++++---- utility/encryption_using_pki_key.yaml | 476 ++++---- utility/get_ip.yaml | 342 +++--- utility/json-csv_convertor.yaml | 492 ++++---- utility/newspaper_article_scraper.yaml | 676 +++++------ utility/pdf_extractor.yaml | 560 ++++----- utility/pki_key_generator.yaml | 458 ++++---- utility/urls_retrieval.yaml | 572 ++++----- utility/video-to-audio_converter.yaml | 504 ++++---- utility/video-to-image_convertor.yaml | 508 ++++---- utility/web_scraper.yaml | 824 ++++++------- utility/wikipedia.yaml | 712 +++++------ utility/wikipedia_retrieval_v0.1.yaml | 668 +++++------ utility/youtube_video_downloader.yaml | 470 ++++---- voice/alibaba_chinese_asr.yaml | 556 ++++----- voice/alibaba_chinese_asr_large_file.yaml | 1042 ++++++++-------- ...asr_with_voice_activity_detection_eng.yaml | 662 +++++------ ...ice_activity_detection_eng_large_file.yaml | 1024 ++++++++-------- ...ith_voice_activity_detection_eng_v0.1.yaml | 612 +++++----- voice/automatic_speech_recognition_chi.yaml | 538 ++++----- ...automatic_speech_recognition_chi_v0.1.yaml | 530 ++++----- voice/automatic_speech_recognition_eng.yaml | 650 +++++----- .../automatic_speech_recognition_eng_sg.yaml | 648 +++++----- ...automatic_speech_recognition_eng_v0.1.yaml | 432 +++---- ...automatic_speech_recognition_eng_v1.0.yaml | 684 +++++------ voice/google_asr_large_file.yaml | 1044 +++++++++-------- ...line_automatic_speech_recognition_eng.yaml | 96 +- ...mand_automatic_speech_recognition_eng.yaml | 82 +- voice/speaker_diarization.yaml | 520 ++++---- voice/text-to-speech_eng.yaml | 626 +++++----- voice/text-to-speech_eng_ncs.yaml | 577 ++++----- voice/text-to-speech_eng_ncs_v0.2.yaml | 536 ++++----- voice/text-to-speech_eng_ncs_v0.3.yaml | 540 ++++----- voice/text-to-speech_eng_ncs_v0.4.yaml | 606 +++++----- voice/text_to_speech_chi.yaml | 482 ++++---- voice/text_to_speech_eng_v0.1.yaml | 736 ++++++------ voice/text_to_speech_jp.yaml | 524 ++++----- voice/voice_activity_detection_eng.yaml | 576 ++++----- voice/voice_activity_detection_eng_v0.1.yaml | 550 ++++----- 71 files changed, 20951 insertions(+), 20814 deletions(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 79ef4cf4b..3f673513c 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -1,362 +1,364 @@ -openapi: 3.0.1 -info: - title: Google Translate - description: |+ - This document describes how to use the Cloud Translation - Basic (v2) to translate text. - The input text can be plain text or HTML. Cloud Translation - Basic does not translate any HTML tags in the input, only text that appears between the tags. The output retains the (untranslated) HTML tags, with the translated text between the tags to the extent possible due to differences between the source and target languages. The order of HTML tags in the output may differ from the order in the input text due to word order changes in the translation. - Do ensure that your text is within **5000 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - Use this microservice to translate the input text into different languages. - version: '0.1.0' - x-subscribelink: google_translate - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size should not exceed more than 5000 characters. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 21, 2021" -paths: - /microservices/nlp/googletranslate/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - input_text: Good Morning - detected_source_language: en - translated_text: Bonjour - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Response message - results: - type: object - example: {} - description: Json Object of returned results - properties: - translated_text: - type: string - example: "Bonjour" - description: Translated text from the given input text. - detected_source_language: - type: string - example: "en" - description: The input text language was detected. - input_text: - type: string - example: "Good Morning" - description: The input text that has to be translated. - status: - type: string - example: Success - description: API success call. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 21, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - text - - target_lang - properties: - text: - type: string - example: "Good Morning" - description: Input text that has to be translated (can be in any language). It supports 5000 characters. - default: true - target_lang: - type: string - example: "fr" - description: |+ - The language in which the text has to translated. - Supported languages are, - - af - afrikaans - - sq - albanian - - am - amharic - - ar - arabic - - hy - armenian - - az - azerbaijani - - eu - basque - - be - belarusian - - bn - bengali - - bs - bosnian - - bg - bulgarian - - ca - catalan - - ceb - cebuano - - ny - chichewa - - zh-cn - chinese (simplified) - - zh-tw - chinese (traditional) - - co - corsican - - hr - croatian - - cs - czech - - da - danish - - nl - dutch - - en - english - - eo - esperanto - - et - estonian - - tl - filipino - - fi - finnish - - fr - french - - fy - frisian - - gl - galician - - ka - georgian - - de - german - - el - greek - - gu - gujarati - - ht - haitian creole - - ha - hausa - - haw - hawaiian - - iw - hebrew - - hi - hindi - - hmn - hmong - - hu - hungarian - - is - icelandic - - ig - igbo - - id - indonesian - - ga - irish - - it - italian - - ja - japanese - - jw - javanese - - kn - kannada - - kk - kazakh - - km - khmer - - ko - korean - - ku - kurdish (kurmanji) - - ky - kyrgyz - - lo - lao - - la - latin - - lv - latvian - - lt - lithuanian - - lb - luxembourgish - - mk - macedonian - - mg - malagasy - - ms - malay - - ml - malayalam - - mt - maltese - - mi - maori - - mr - marathi - - mn - mongolian - - my - myanmar (burmese) - - ne - nepali - - no - norwegian - - ps - pashto - - fa - persian - - pl - polish - - pt - portuguese - - pa - punjabi - - ro - romanian - - ru - russian - - sm - samoan - - gd - scots gaelic - - sr - serbian - - st - sesotho - - sn - shona - - sd - sindhi - - si - sinhala - - sk - slovak - - sl - slovenian - - so - somali - - es - spanish - - su - sundanese - - sw - swahili - - sv - swedish - - tg - tajik - - ta - tamil - - te - telugu - - th - thai - - tr - turkish - - uk - ukrainian - - ur - urdu - - uz - uzbek - - vi - vietnamese - - cy - welsh - - xh - xhosa - - yi - yiddish - - yo - yoruba - - zu - zulu - - fil - Filipino - - he - Hebrew - default: true - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Google Translate + description: |+ + This document describes how to use the Cloud Translation - Basic (v2) to translate text. + The input text can be plain text or HTML. Cloud Translation - Basic does not translate any HTML tags in the input, only text that appears between the tags. The output retains the (untranslated) HTML tags, with the translated text between the tags to the extent possible due to differences between the source and target languages. The order of HTML tags in the output may differ from the order in the input text due to word order changes in the translation. + Do ensure that your text is within **5000 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - Use this microservice to translate the input text into different languages. + version: '0.1.0' + x-subscribelink: google_translate + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Translate string based on language. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 21, 2021" +paths: + /microservices/nlp/googletranslate/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + input_text: Good Morning + detected_source_language: en + translated_text: Bonjour + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Response message + results: + type: object + example: {} + description: Json Object of returned results + properties: + translated_text: + type: string + example: "Bonjour" + description: Translated text from the given input text. + detected_source_language: + type: string + example: "en" + description: The input text language was detected. + input_text: + type: string + example: "Good Morning" + description: The input text that has to be translated. + status: + type: string + example: Success + description: API success call. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 21, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - text + - target_lang + properties: + text: + type: string + example: "Good Morning" + description: Input text that has to be translated (can be in any language). It supports 5000 characters. + default: true + target_lang: + type: string + example: "fr" + description: |+ + The language in which the text has to translated. + Supported languages are, + - af - afrikaans + - sq - albanian + - am - amharic + - ar - arabic + - hy - armenian + - az - azerbaijani + - eu - basque + - be - belarusian + - bn - bengali + - bs - bosnian + - bg - bulgarian + - ca - catalan + - ceb - cebuano + - ny - chichewa + - zh-cn - chinese (simplified) + - zh-tw - chinese (traditional) + - co - corsican + - hr - croatian + - cs - czech + - da - danish + - nl - dutch + - en - english + - eo - esperanto + - et - estonian + - tl - filipino + - fi - finnish + - fr - french + - fy - frisian + - gl - galician + - ka - georgian + - de - german + - el - greek + - gu - gujarati + - ht - haitian creole + - ha - hausa + - haw - hawaiian + - iw - hebrew + - hi - hindi + - hmn - hmong + - hu - hungarian + - is - icelandic + - ig - igbo + - id - indonesian + - ga - irish + - it - italian + - ja - japanese + - jw - javanese + - kn - kannada + - kk - kazakh + - km - khmer + - ko - korean + - ku - kurdish (kurmanji) + - ky - kyrgyz + - lo - lao + - la - latin + - lv - latvian + - lt - lithuanian + - lb - luxembourgish + - mk - macedonian + - mg - malagasy + - ms - malay + - ml - malayalam + - mt - maltese + - mi - maori + - mr - marathi + - mn - mongolian + - my - myanmar (burmese) + - ne - nepali + - no - norwegian + - ps - pashto + - fa - persian + - pl - polish + - pt - portuguese + - pa - punjabi + - ro - romanian + - ru - russian + - sm - samoan + - gd - scots gaelic + - sr - serbian + - st - sesotho + - sn - shona + - sd - sindhi + - si - sinhala + - sk - slovak + - sl - slovenian + - so - somali + - es - spanish + - su - sundanese + - sw - swahili + - sv - swedish + - tg - tajik + - ta - tamil + - te - telugu + - th - thai + - tr - turkish + - uk - ukrainian + - ur - urdu + - uz - uzbek + - vi - vietnamese + - cy - welsh + - xh - xhosa + - yi - yiddish + - yo - yoruba + - zu - zulu + - fil - Filipino + - he - Hebrew + default: true + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 3eaa85759..33a52a21b 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -1,261 +1,263 @@ -openapi: 3.0.1 -info: - title: Inverse Text Normalisation ENG - description: |+ - This NLP microservice recovers the missing punctuations such as full stop, comma, exclamation mark, and question mark from the input text. - - It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. - - Do ensure that your text is within **5000 characters**. - version: '1.0.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. - x-subscribelink: inverse_text_normalisation_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size should not exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Oct 30, 2020" -paths: - /microservices/nlp/inversenorm/v1/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - '0': |+ - Apple said, the project-financing fund was the 1 of its kind, real estate developers, - often secure bonds for affordable housing development, but must service the debt - during construction, until the houses are built and start to generate revenue, apple - and state officials hope to provide bridge financing during construction at rates - below those from commercial lenders. - '1': |+ - The $2000000000 in funding will be deployable across NTU while the remaining - 5500000000 will go toward efforts specific to apple's home region in northern california, - where fast-growing tech companies have drawn protests from residents who blame them - for rising, housing costs. - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - : - x-name: - type: string - example: '{ 0: Apple said, the project-financing fund was the 1 of its kind, real estate developers, often secure bonds for affordable housing development, but must service the debt during construction, until the houses are built and start to generate revenue, apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders.}' - description: Order sequence number - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: Apple said the project-financing fund was the first of its kind Real estate developers often secure bonds for affordable housing development but must service the debt during construction until the houses are built and start to generate revenue Apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders - description: |+ - Input text - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Inverse Text Normalisation ENG + description: |+ + This NLP microservice recovers the missing punctuations such as full stop, comma, exclamation mark, and question mark from the input text. + + It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. + + Do ensure that your text is within **5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. + x-subscribelink: inverse_text_normalisation_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Recovers Normalized text from input text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" +paths: + /microservices/nlp/inversenorm/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + '0': |+ + Apple said, the project-financing fund was the 1 of its kind, real estate developers, + often secure bonds for affordable housing development, but must service the debt + during construction, until the houses are built and start to generate revenue, apple + and state officials hope to provide bridge financing during construction at rates + below those from commercial lenders. + '1': |+ + The $2000000000 in funding will be deployable across NTU while the remaining + 5500000000 will go toward efforts specific to apple's home region in northern california, + where fast-growing tech companies have drawn protests from residents who blame them + for rising, housing costs. + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + : + x-name: + type: string + example: '{ 0: Apple said, the project-financing fund was the 1 of its kind, real estate developers, often secure bonds for affordable housing development, but must service the debt during construction, until the houses are built and start to generate revenue, apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders.}' + description: Order sequence number + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: Apple said the project-financing fund was the first of its kind Real estate developers often secure bonds for affordable housing development but must service the debt during construction until the houses are built and start to generate revenue Apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/inverse_text_normalisation_eng_v0.1.yaml b/nlp/inverse_text_normalisation_eng_v0.1.yaml index c47de1186..8f358dd97 100644 --- a/nlp/inverse_text_normalisation_eng_v0.1.yaml +++ b/nlp/inverse_text_normalisation_eng_v0.1.yaml @@ -1,249 +1,251 @@ -openapi: 3.0.1 -info: - title: Inverse Text Normalisation ENG - description: |+ - This NLP microservice recovers missing punctuations such as full stop, comma, exclamation mark, and question mark from the input text. - - This NLP microservice also converts pre-defined abbreviations from lower case to upper case. - - This NLP microservice also converts first letters of sentences to upper case. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. - version: '0.1.0' - x-subscribelink: inverse_text_normalisation_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size should not exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Mar 24, 2020" -paths: - /microservices/nlp/inversenorm/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - '0': |+ - Apple said, the project-financing fund was the 1 of its kind, real estate developers, - often secure bonds for affordable housing development, but must service the debt - during construction, until the houses are built and start to generate revenue, apple - and state officials hope to provide bridge financing during construction at rates - below those from commercial lenders. - '1': |+ - The $2000000000 in funding will be deployable across NTU while the remaining - 5500000000 will go toward efforts specific to apple's home region in northern california, - where fast-growing tech companies have drawn protests from residents who blame them - for rising, housing costs. - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - : - type: string - example: '{ 0: Apple said, the project-financing fund was the 1 of its kind, real estate developers, often secure bonds for affordable housing development, but must service the debt during construction, until the houses are built and start to generate revenue, apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders.}' - description: Order sequence number - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - input: - type: array - required: - - text - items: - oneOf: - - type: object - properties: - text: - x-name: text - type: string - default: true - example: Apple said the project-financing fund was the first of its kind Real estate developers often secure bonds for affordable housing development but must service the debt during construction until the houses are built and start to generate revenue Apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders - description: |+ - Input text. - - Supported formats: ASCII only - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Inverse Text Normalisation ENG + description: |+ + This NLP microservice recovers missing punctuations such as full stop, comma, exclamation mark, and question mark from the input text. + + This NLP microservice also converts pre-defined abbreviations from lower case to upper case. + + This NLP microservice also converts first letters of sentences to upper case. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. + version: '0.1.0' + x-subscribelink: inverse_text_normalisation_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Recovers Normalized text from input text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 24, 2020" +paths: + /microservices/nlp/inversenorm/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + '0': |+ + Apple said, the project-financing fund was the 1 of its kind, real estate developers, + often secure bonds for affordable housing development, but must service the debt + during construction, until the houses are built and start to generate revenue, apple + and state officials hope to provide bridge financing during construction at rates + below those from commercial lenders. + '1': |+ + The $2000000000 in funding will be deployable across NTU while the remaining + 5500000000 will go toward efforts specific to apple's home region in northern california, + where fast-growing tech companies have drawn protests from residents who blame them + for rising, housing costs. + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + : + type: string + example: '{ 0: Apple said, the project-financing fund was the 1 of its kind, real estate developers, often secure bonds for affordable housing development, but must service the debt during construction, until the houses are built and start to generate revenue, apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders.}' + description: Order sequence number + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: array + required: + - text + items: + oneOf: + - type: object + properties: + text: + x-name: text + type: string + default: true + example: Apple said the project-financing fund was the first of its kind Real estate developers often secure bonds for affordable housing development but must service the debt during construction until the houses are built and start to generate revenue Apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders + description: |+ + Input text. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 9dd85ce84..27b876361 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -1,282 +1,284 @@ -openapi: 3.0.1 -info: - title: Named-Entity Recognition ENG - description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - Do ensure that your text is within **5000 characters**. - version: '1.0.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Extracting structured pre-defined information from text. - - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - x-subscribelink: named-entity_recognition_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size should not exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Sep 30, 2020" -paths: - /microservices/nlp/namedentityrecognition/v1/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - items: - type: string - example: - - Hubei - - Singapore - - Hubei - - Hubei - - Immigration - description: "name of location found in the text string" - misc: - type: array - items: - type: string - example: - - ICA.They - description: "name of miscellaneous names found in the text string" - org: - type: array - items: - type: string - example: - - Immigration and Checkpoints Authority - - ICA - - LOA - description: "name of organizations names found in the text string" - per: - type: array - items: - type: string - example: - - Lee Hsien Loong - description: "person names found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Updated version release v1.0 - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25, 2019 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: SINGAPORE - Immigration officers have issued 77 stay-home notices as of noon on Wednesday (Feb 19), 12 hours after the scheme kicked in.These notices were issued to Singapore residents, long-term pass holders and foreign workers who have travelled to mainland China in the last 14 days, said the Immigration and Checkpoints Authority (ICA) in response to queries on Thursday.Travellers from Hubei province are excluded from this scheme, as they are quarantined.Those who are issued the new notices, which took effect at 11.59pm on Tuesday, cannot leave their homes for 14 days./n This is stricter than the leave of absence (LOA), which allowed people to briefly leave their homes for necessities. LOA will no longer be issued.Those who do not observe the stay-home period can be prosecuted under the Infectious Diseases Act, warned the ICA.They could be fined up to $10,000 or jailed for up to six month, or both, for the first offence. For subsequent offences, this could go up to a maximum of $20,000 and up to a year. - description: |+ - Input text. - - Supported formats: ASCII only - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Named-Entity Recognition ENG + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured English text. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + Do ensure that your text is within **5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Extracting structured pre-defined information from text. + - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + x-subscribelink: named-entity_recognition_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured English text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Sep 30, 2020" +paths: + /microservices/nlp/namedentityrecognition/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + - Hubei + - Singapore + - Hubei + - Hubei + - Immigration + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - ICA.They + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + - Immigration and Checkpoints Authority + - ICA + - LOA + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + - Lee Hsien Loong + description: "person names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25, 2019 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: SINGAPORE - Immigration officers have issued 77 stay-home notices as of noon on Wednesday (Feb 19), 12 hours after the scheme kicked in.These notices were issued to Singapore residents, long-term pass holders and foreign workers who have travelled to mainland China in the last 14 days, said the Immigration and Checkpoints Authority (ICA) in response to queries on Thursday.Travellers from Hubei province are excluded from this scheme, as they are quarantined.Those who are issued the new notices, which took effect at 11.59pm on Tuesday, cannot leave their homes for 14 days./n This is stricter than the leave of absence (LOA), which allowed people to briefly leave their homes for necessities. LOA will no longer be issued.Those who do not observe the stay-home period can be prosecuted under the Infectious Diseases Act, warned the ICA.They could be fined up to $10,000 or jailed for up to six month, or both, for the first offence. For subsequent offences, this could go up to a maximum of $20,000 and up to a year. + description: |+ + Input text. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/named-entity_recognition_eng_v0.1.yaml b/nlp/named-entity_recognition_eng_v0.1.yaml index 709e1c63f..7608d9e09 100644 --- a/nlp/named-entity_recognition_eng_v0.1.yaml +++ b/nlp/named-entity_recognition_eng_v0.1.yaml @@ -1,277 +1,279 @@ -openapi: 3.0.1 -info: - title: Named-Entity Recognition ENG - description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text. - - The named-entity classes extracted are persons, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - - Do ensure that your text is within **5000 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - Extracting structured pre-defined information from text. - - - Gain insights from online customers - extract structured information from unstructured text data such as chatlogs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - version: '0.1.0' - x-subscribelink: named-entity_recognition_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size should not exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Nov 25, 2019" -paths: - /microservices/nlp/namedentityrecognition/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - LOC: - - America - - Saudi Arabia - - Yemen - - Abqaiq - - Iraq - - Iran - - Khurais - MISC: - - Arabian - - American - - Saudi - - Iranian - - Shia - ORG: - - Houthi - PER: - - DONALD TRUMP - - Mike Pompeo - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - LOC: - x-name: LOC - type: array - example: [ America,Saudi Arabia,Yemen,Abqaiq ] - description: "name of location found in the text string" - MISC: - x-name: MISC - type: array - example: [ Arabian,American,Saudi ] - description: "name of miscellaneous names found in the text string" - ORG: - x-name: ORG - type: array - example: [ Houthi ] - description: "name of organizations found in the text string" - PER: - x-name: PER - type: array - example: [ DONALD TRUMP,Mike Pompeo ] - description: "name of persons found in the text string" - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Updated version release v1.0 - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25, 2019 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: The Singaporean procedure of hanging condemned individuals is similar to the methods formerly used in the United Kingdom. - description: |+ - Input text. - - Supported formats: ASCII only - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Named-Entity Recognition ENG + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured English text. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + + Do ensure that your text is within **5000 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - Extracting structured pre-defined information from text. + + - Gain insights from online customers - extract structured information from unstructured text data such as chatlogs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + version: '0.1.0' + x-subscribelink: named-entity_recognition_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured English text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Nov 25, 2019" +paths: + /microservices/nlp/namedentityrecognition/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + LOC: + - America + - Saudi Arabia + - Yemen + - Abqaiq + - Iraq + - Iran + - Khurais + MISC: + - Arabian + - American + - Saudi + - Iranian + - Shia + ORG: + - Houthi + PER: + - DONALD TRUMP + - Mike Pompeo + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + LOC: + x-name: LOC + type: array + example: [ America,Saudi Arabia,Yemen,Abqaiq ] + description: "name of location found in the text string" + MISC: + x-name: MISC + type: array + example: [ Arabian,American,Saudi ] + description: "name of miscellaneous names found in the text string" + ORG: + x-name: ORG + type: array + example: [ Houthi ] + description: "name of organizations found in the text string" + PER: + x-name: PER + type: array + example: [ DONALD TRUMP,Mike Pompeo ] + description: "name of persons found in the text string" + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25, 2019 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: The Singaporean procedure of hanging condemned individuals is similar to the methods formerly used in the United Kingdom. + description: |+ + Input text. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 2dd178662..ba2106d30 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -1,342 +1,344 @@ -openapi: 3.0.1 -info: - title: Named-Entity Recognition JP - description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - Do ensure that your text is within **5000 characters**. - version: '1.0.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Extract structured pre-defined information from text. - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - x-subscribelink: named-entity_recognition_jp - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size should not exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Sep 30, 2020" -paths: - /microservices/nlp/japanesener/v1/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - age: - - '56' - countx_other: - - 2稿 - - 8口 - doctrine_method_other: - - 険所コホ特室りょ - n_event: - - 受1 - numex_other: - - 百経 - ordinal_number: - - 30弾 - person: - - くぼ - - 壮 - - 琢紫 - - ナユ - product_other: - - 都合ヘラアニ限 - - 議帳 - show_organization: - - 左成相態 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - age: - type: array - items: - type: string - example: - - 56 - description: "age details found in the text string" - countx_other: - type: array - items: - type: string - example: - - 2稿 - - 8口 - description: "countx other details found in the text string" - doctrine_method_other: - type: array - items: - type: string - example: - - 険所コホ特室りょ - description: "doctrine method in the text string" - n_event: - type: array - items: - type: string - example: - - 受1 - description: "n_event in the text string" - numex_other: - type: array - items: - type: string - example: - - 受1 - description: "numex_other details found in the text string" - ordinal_number: - type: array - items: - type: string - example: - -30弾 - description: "ordinal_number details in the text string" - person: - type: array - items: - type: string - example: - - person - - 壮 - - 琢紫 - - ナユ - description: "person details found in the text string" - product_other: - type: array - items: - type: string - example: - - 都合ヘラアニ限 - - 議帳 - description: "product found in the text string" - show_organization: - type: array - items: - type: string - example: - - 左成相態 - description: "organization details found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Updated version release v1.0 - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: 30弾ソイキ昇機マ了映だ店原いひ険所コホ特室りょくぼ都合ヘラアニ限2稿タチケア迷芸歌セ利講ルねひ詳績めかをぶ観提メエ府木ホフタ分不写ひフ妹検らし器増壮憶クわ。8口アユ琢紫ヨ理特ゆほス見百経イス図退ナユ介精しぜ議帳モテ受1中コハ載北早ぎのりや載裁風力壌ひろふ。運56済ぞ下写報スや来際おっはの学要ヘ手米真社つみよや非央で野館き肉待づぜフ次睡ルをが左成相態万えやろ。 - description: |+ - Input text. - - Supported formats: ASCII only - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Named-Entity Recognition JP + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + Do ensure that your text is within **5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Extract structured pre-defined information from text. + - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + x-subscribelink: named-entity_recognition_jp + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured Japanese text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Sep 30, 2020" +paths: + /microservices/nlp/japanesener/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + age: + - '56' + countx_other: + - 2稿 + - 8口 + doctrine_method_other: + - 険所コホ特室りょ + n_event: + - 受1 + numex_other: + - 百経 + ordinal_number: + - 30弾 + person: + - くぼ + - 壮 + - 琢紫 + - ナユ + product_other: + - 都合ヘラアニ限 + - 議帳 + show_organization: + - 左成相態 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + age: + type: array + items: + type: string + example: + - 56 + description: "age details found in the text string" + countx_other: + type: array + items: + type: string + example: + - 2稿 + - 8口 + description: "countx other details found in the text string" + doctrine_method_other: + type: array + items: + type: string + example: + - 険所コホ特室りょ + description: "doctrine method in the text string" + n_event: + type: array + items: + type: string + example: + - 受1 + description: "n_event in the text string" + numex_other: + type: array + items: + type: string + example: + - 受1 + description: "numex_other details found in the text string" + ordinal_number: + type: array + items: + type: string + example: + -30弾 + description: "ordinal_number details in the text string" + person: + type: array + items: + type: string + example: + - person + - 壮 + - 琢紫 + - ナユ + description: "person details found in the text string" + product_other: + type: array + items: + type: string + example: + - 都合ヘラアニ限 + - 議帳 + description: "product found in the text string" + show_organization: + type: array + items: + type: string + example: + - 左成相態 + description: "organization details found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: 30弾ソイキ昇機マ了映だ店原いひ険所コホ特室りょくぼ都合ヘラアニ限2稿タチケア迷芸歌セ利講ルねひ詳績めかをぶ観提メエ府木ホフタ分不写ひフ妹検らし器増壮憶クわ。8口アユ琢紫ヨ理特ゆほス見百経イス図退ナユ介精しぜ議帳モテ受1中コハ載北早ぎのりや載裁風力壌ひろふ。運56済ぞ下写報スや来際おっはの学要ヘ手米真社つみよや非央で野館き肉待づぜフ次睡ルをが左成相態万えやろ。 + description: |+ + Input text. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/named-entity_recognition_jp_v0.1.yaml b/nlp/named-entity_recognition_jp_v0.1.yaml index fc32379f7..8df03ed8a 100644 --- a/nlp/named-entity_recognition_jp_v0.1.yaml +++ b/nlp/named-entity_recognition_jp_v0.1.yaml @@ -1,268 +1,270 @@ -openapi: 3.0.1 -info: - title: Named-Entity Recognition JP - description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. - - The named-entity classes extracted are persons, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - x-additionalinfo: |+ - Suggested Use Cases: - - Extract structured pre-defined information from text. - - - Insights from online customers - extract structured information from unstructured text data such as chatlogs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - version: '0.1.0' - x-subscribelink: named-entity_recognition_jp - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size should not exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - May 15, 2020" -paths: - /microservices/nlp/japanesener/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - Company: - - 和歌山製鉄所 - Date: - - 7日,2023年9月 - - 22年9月 - Domestic_Region: - - 呉製鉄所 - Material: - - 鉄鋼最大手 - N_Product: - - 高炉2基 - - 2基","1基 - Province: - - 広島県呉市 - - 和歌山市 - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - Company: - x-name: Company - type: array - example: [ 和歌山製鉄所 ] - description: name of Company found in the text string - Date: - x-name: Date - type: array - example: [ 7日,2023年9月,22年9月 ] - description: name of Date found in the text string - Domestic_Region: - x-name: Domestic_Region - type: array - example: [ 呉製鉄所 ] - description: name of Domestic_Region found in the text string - Material: - x-name: Material - type: array - example: [ 鉄鋼最大手 ] - description: name of Material found in the text string - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Updated version release v1.0 - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: 鉄鋼最大手の日本製鉄は7日、高炉2基を備えた呉製鉄所（広島県呉市）を2023年9月までに全面休止すると発表した。閉鎖につながる可能性が高い。和歌山製鉄所（和歌山市）の高炉2基のうち1基を22年9月までに休止することも明らかにした。 - description: |+ - Input text - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Named-Entity Recognition JP + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + x-additionalinfo: |+ + Suggested Use Cases: + - Extract structured pre-defined information from text. + + - Insights from online customers - extract structured information from unstructured text data such as chatlogs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + version: '0.1.0' + x-subscribelink: named-entity_recognition_jp + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured Japanese text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 15, 2020" +paths: + /microservices/nlp/japanesener/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + Company: + - 和歌山製鉄所 + Date: + - 7日,2023年9月 + - 22年9月 + Domestic_Region: + - 呉製鉄所 + Material: + - 鉄鋼最大手 + N_Product: + - 高炉2基 + - 2基","1基 + Province: + - 広島県呉市 + - 和歌山市 + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + Company: + x-name: Company + type: array + example: [ 和歌山製鉄所 ] + description: name of Company found in the text string + Date: + x-name: Date + type: array + example: [ 7日,2023年9月,22年9月 ] + description: name of Date found in the text string + Domestic_Region: + x-name: Domestic_Region + type: array + example: [ 呉製鉄所 ] + description: name of Domestic_Region found in the text string + Material: + x-name: Material + type: array + example: [ 鉄鋼最大手 ] + description: name of Material found in the text string + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: 鉄鋼最大手の日本製鉄は7日、高炉2基を備えた呉製鉄所（広島県呉市）を2023年9月までに全面休止すると発表した。閉鎖につながる可能性が高い。和歌山製鉄所（和歌山市）の高炉2基のうち1基を22年9月までに休止することも明らかにした。 + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 3b0fcbca6..14fd42650 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -1,344 +1,346 @@ -openapi: 3.0.1 -info: - title: Named-Entity Recognition THAI - description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - Do ensure that your text is **within 5000 characters**. - version: '1.0.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Extract structured pre-defined information from text. - - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - x-subscribelink: named-entity_recognition_thai - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size should not exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Sep 30, 2020" -paths: - /microservices/nlp/thainer/v1/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - law: - - รัฐธรรมนูญ - location: - - ประเทศไทย - - มาเลเซีย - - ทะเลอันดามัน - - กรุงเทพมหานคร - - อินโดนีเซีย - - ราชอาณาจักรไทย - - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ - - ลาวทางทิศตะวันออกติดกับลาว - - เอเชียตะวันออกเฉียงใต้ - - เวียดนาม - - ประเทศพม่า - - กัมพูชาทางทิศใต้ติดกับอ่าวไทย - organization: - - รัฐสภา - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - law: - x-name: law - type: array - example: [พ.ร.บ.โรคระบาด พ.ศ.2499, รัฐธรรมนูญ] - description: "law details found in the text string" - location: - x-name: location - type: array - example: - - ประเทศไทย - - มาเลเซีย - - ทะเลอันดามัน - - กรุงเทพมหานคร - - อินโดนีเซีย - - ราชอาณาจักรไทย - - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ - - ลาวทางทิศตะวันออกติดกับลาว - - เอเชียตะวันออกเฉียงใต้ - - เวียดนาม - - ประเทศพม่า - - กัมพูชาทางทิศใต้ติดกับอ่าวไทย - description: "location found in the text string" - organization: - x-name: organization - type: array - example: - - รัฐสภา - description: "organization found in the text string" - date: - x-name: date - type: array - example: [2/21/2004, 16 ก.พ., จันทร์] - description: "date found in the text string" - money: - x-name: money - type: array - example: [2.7 ล้านบาท, 2,000 บาท] - description: "amount of currency found in the text string" - time: - x-name: time - type: array - example: [16.30 น., 5 วัน, 1-3 ปี] - description: "time found in the text string" - email: - x-name: email - type: array - example: [info@nrpsc.ac.th] - description: "email id found in the text string" - len: - x-name: len - type: array - example: [30 กิโลเมตร, 5 กม.] - description: "distance in km found in the text string" - person: - x-name: person - type: array - example: [น.พ.จรัล, นางประนอม ทองจันทร์] - description: "name of person found in the text string" - phone: - x-name: phone - type: array - example: [0 2670 8888] - description: "date found in the text string" - url: - x-name: url - type: array - example: [http://www.bangkokhealth.com/] - description: "url in the text string" - zip: - x-name: zip - type: array - example: [10400] - description: "zipcode found in the text string" - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Updated version release v1.0 - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 28, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: ประเทศไทย [a] ราชอาณาจักรไทยอย่างเป็นทางการและมีชื่อเดิมว่าสยาม [b] เป็นประเทศในเอเชียตะวันออกเฉียงใต้ ตั้งอยู่ที่ใจกลางคาบสมุทรอินโดจีนประกอบด้วย 76 จังหวัดและครอบคลุมพื้นที่ 513,120 ตารางกิโลเมตร (198,120 ตารางไมล์) และมีประชากรมากกว่า 66 ล้านคน [4] ประเทศไทยเป็นประเทศที่มีพื้นที่ทางบกมากเป็นอันดับที่ 50ของโลกและเป็นประเทศที่มีประชากรมากที่สุดเป็นอันดับที่ 22 ของโลก เมืองหลวงและเมืองที่ใหญ่ที่สุดคือกรุงเทพมหานครซึ่งเป็นเขตปกครองพิเศษ ประเทศไทยมีพรมแดนติดทางทิศเหนือติดกับเมียนมาร์และลาวทางทิศตะวันออกติดกับลาวและกัมพูชาทางทิศใต้ติดกับอ่าวไทยและมาเลเซียและทางทิศตะวันตกติดกับทะเลอันดามันและทางตอนใต้ของประเทศพม่า พรมแดนทางทะเล ได้แก่ เวียดนามในอ่าวไทยทางตะวันออกเฉียงใต้และอินโดนีเซียและอินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ ประเทศไทยเป็นระบอบรัฐธรรมนูญและประชาธิปไตยแบบรัฐสภา อย่างไรก็ตามในประวัติศาสตร์ที่ผ่านมารัฐบาลของตนต้องเผชิญกับการรัฐประหารหลายครั้งและช่วงเวลาแห่งการปกครองแบบเผด็จการทหารย เวลา - description: |+ - Input text. - - Supported formats: ASCII only - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Named-Entity Recognition THAI + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + Do ensure that your text is **within 5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Extract structured pre-defined information from text. + + - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + x-subscribelink: named-entity_recognition_thai + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured Thai text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Sep 30, 2020" +paths: + /microservices/nlp/thainer/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + law: + - รัฐธรรมนูญ + location: + - ประเทศไทย + - มาเลเซีย + - ทะเลอันดามัน + - กรุงเทพมหานคร + - อินโดนีเซีย + - ราชอาณาจักรไทย + - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + - ลาวทางทิศตะวันออกติดกับลาว + - เอเชียตะวันออกเฉียงใต้ + - เวียดนาม + - ประเทศพม่า + - กัมพูชาทางทิศใต้ติดกับอ่าวไทย + organization: + - รัฐสภา + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + law: + x-name: law + type: array + example: [พ.ร.บ.โรคระบาด พ.ศ.2499, รัฐธรรมนูญ] + description: "law details found in the text string" + location: + x-name: location + type: array + example: + - ประเทศไทย + - มาเลเซีย + - ทะเลอันดามัน + - กรุงเทพมหานคร + - อินโดนีเซีย + - ราชอาณาจักรไทย + - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + - ลาวทางทิศตะวันออกติดกับลาว + - เอเชียตะวันออกเฉียงใต้ + - เวียดนาม + - ประเทศพม่า + - กัมพูชาทางทิศใต้ติดกับอ่าวไทย + description: "location found in the text string" + organization: + x-name: organization + type: array + example: + - รัฐสภา + description: "organization found in the text string" + date: + x-name: date + type: array + example: [2/21/2004, 16 ก.พ., จันทร์] + description: "date found in the text string" + money: + x-name: money + type: array + example: [2.7 ล้านบาท, 2,000 บาท] + description: "amount of currency found in the text string" + time: + x-name: time + type: array + example: [16.30 น., 5 วัน, 1-3 ปี] + description: "time found in the text string" + email: + x-name: email + type: array + example: [info@nrpsc.ac.th] + description: "email id found in the text string" + len: + x-name: len + type: array + example: [30 กิโลเมตร, 5 กม.] + description: "distance in km found in the text string" + person: + x-name: person + type: array + example: [น.พ.จรัล, นางประนอม ทองจันทร์] + description: "name of person found in the text string" + phone: + x-name: phone + type: array + example: [0 2670 8888] + description: "date found in the text string" + url: + x-name: url + type: array + example: [http://www.bangkokhealth.com/] + description: "url in the text string" + zip: + x-name: zip + type: array + example: [10400] + description: "zipcode found in the text string" + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 28, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: ประเทศไทย [a] ราชอาณาจักรไทยอย่างเป็นทางการและมีชื่อเดิมว่าสยาม [b] เป็นประเทศในเอเชียตะวันออกเฉียงใต้ ตั้งอยู่ที่ใจกลางคาบสมุทรอินโดจีนประกอบด้วย 76 จังหวัดและครอบคลุมพื้นที่ 513,120 ตารางกิโลเมตร (198,120 ตารางไมล์) และมีประชากรมากกว่า 66 ล้านคน [4] ประเทศไทยเป็นประเทศที่มีพื้นที่ทางบกมากเป็นอันดับที่ 50ของโลกและเป็นประเทศที่มีประชากรมากที่สุดเป็นอันดับที่ 22 ของโลก เมืองหลวงและเมืองที่ใหญ่ที่สุดคือกรุงเทพมหานครซึ่งเป็นเขตปกครองพิเศษ ประเทศไทยมีพรมแดนติดทางทิศเหนือติดกับเมียนมาร์และลาวทางทิศตะวันออกติดกับลาวและกัมพูชาทางทิศใต้ติดกับอ่าวไทยและมาเลเซียและทางทิศตะวันตกติดกับทะเลอันดามันและทางตอนใต้ของประเทศพม่า พรมแดนทางทะเล ได้แก่ เวียดนามในอ่าวไทยทางตะวันออกเฉียงใต้และอินโดนีเซียและอินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ ประเทศไทยเป็นระบอบรัฐธรรมนูญและประชาธิปไตยแบบรัฐสภา อย่างไรก็ตามในประวัติศาสตร์ที่ผ่านมารัฐบาลของตนต้องเผชิญกับการรัฐประหารหลายครั้งและช่วงเวลาแห่งการปกครองแบบเผด็จการทหารย เวลา + description: |+ + Input text. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/named-entity_recognition_thai_v0.1.yaml b/nlp/named-entity_recognition_thai_v0.1.yaml index 871a9da27..219b9a5fe 100644 --- a/nlp/named-entity_recognition_thai_v0.1.yaml +++ b/nlp/named-entity_recognition_thai_v0.1.yaml @@ -1,250 +1,252 @@ -openapi: 3.0.1 -info: - title: Named-Entity Recognition THAI - description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text. - - The named-entity classes extracted are persons, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - x-additionalinfo: |+ - Suggested Use Cases: - - Extract structured pre-defined information from text. - - - Insights from online customers - extract structured information from unstructured text data such as chatlogs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - version: '0.1.0' - x-subscribelink: named-entity_recognition_thai - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size should not exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 28, 2020" -paths: - /microservices/nlp/thainer/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - location: - - อินเดีย,สหรัฐอเมริกา - person: - - ประธานาธิบดีทรัมป์ - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - location: - x-name: location - type: array - example: [ สหรัฐอเมริ ] - description: name of location found in the text string - - person: - x-name: person - type: array - example: [ ประธานาธิบดีทร ] - description: name of person found in the text string - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Updated version release v1.0 - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 28, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: ประธานาธิบดีทรัมป์เป็นประธานาธิบดีแห่งสหรัฐอเมริกา เขาเคยเป็นส่วนหนึ่งของ Apple ในอินเดีย เวลา - description: |+ - Input text - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Named-Entity Recognition THAI + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + x-additionalinfo: |+ + Suggested Use Cases: + - Extract structured pre-defined information from text. + + - Insights from online customers - extract structured information from unstructured text data such as chatlogs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + version: '0.1.0' + x-subscribelink: named-entity_recognition_thai + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured Thai text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 28, 2020" +paths: + /microservices/nlp/thainer/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + location: + - อินเดีย,สหรัฐอเมริกา + person: + - ประธานาธิบดีทรัมป์ + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + location: + x-name: location + type: array + example: [ สหรัฐอเมริ ] + description: name of location found in the text string + + person: + x-name: person + type: array + example: [ ประธานาธิบดีทร ] + description: name of person found in the text string + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 28, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: ประธานาธิบดีทรัมป์เป็นประธานาธิบดีแห่งสหรัฐอเมริกา เขาเคยเป็นส่วนหนึ่งของ Apple ในอินเดีย เวลา + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index 81f4518da..abf91973a 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -1,287 +1,289 @@ - openapi: 3.0.1 - info: - title: Page Profiler ENG - description: |+ - This NLP microservice retrieves web content in English from the input URL. - - From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - x-subscribelink: page_profiler_eng - x-additionalinfo: |+ - Suggested Use Cases: - - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - version: '2.1.1' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - SIze should not exceed more than 5000 characters. - servers: - - url: 'https://apis.sentient.io' - tags: - - name: "v2.1.1" - description: "Published Date - Dec 04, 2020" - paths: - /microservices/nlp/pageprofiler/v2/getpredictions: - post: - tags: - - v2.1.1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - example: ["Nat","Sentient.io","Home","Inte","CONTACT","Join"] - description: "name of location found in the text string" - misc: - type: array - example: ["Sentient.io","English"] - description: "name of misc found in the text string" - org: - type: array - example: ["Our Clients","AI","APIs","Sentient.io","Our Technology Partners","Named Entity Recognition","Our Investors"] - description: "name of org found in the text string" - per: - type: array - example: ["Sentient.io","Speech","LinkedIn"] - description: "name of persons found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - versions: - type: object - properties: - v2.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 04, 2020 - x-details: Patch Update - description: Latest Version - v2.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Partial URL support - description: Depreciating on Dec 03, 2020 - v2.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Oct 29, 2020 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15, 2018 - x-details: Swap the NLP with Named-Entity Recognition ENG - description: Depreciating on Sep 29,2020 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 16, 2018 - x-details: Initial version release - description: Archived - input: - type: object - required: - - url - properties: - url: - x-name: url - type: string - default: true - example: https://www.sentient.io/en/ - description: |+ - The URL of the page to be profiled. - - Supported formats: ASCII only - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + openapi: 3.0.1 + info: + title: Page Profiler ENG + description: |+ + This NLP microservice retrieves web content in English from the input URL. + + From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + x-subscribelink: page_profiler_eng + x-additionalinfo: |+ + Suggested Use Cases: + - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + version: '2.1.1' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + API allows to retrieve from One URL per request. + x-apidetailsdesc: |+ + Retrieves web content in English from the input URL. + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v2.1.1" + description: "Published Date - Dec 04, 2020" + paths: + /microservices/nlp/pageprofiler/v2/getpredictions: + post: + tags: + - v2.1.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + example: ["Nat","Sentient.io","Home","Inte","CONTACT","Join"] + description: "name of location found in the text string" + misc: + type: array + example: ["Sentient.io","English"] + description: "name of misc found in the text string" + org: + type: array + example: ["Our Clients","AI","APIs","Sentient.io","Our Technology Partners","Named Entity Recognition","Our Investors"] + description: "name of org found in the text string" + per: + type: array + example: ["Sentient.io","Speech","LinkedIn"] + description: "name of persons found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + versions: + type: object + properties: + v2.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 04, 2020 + x-details: Patch Update + description: Latest Version + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Partial URL support + description: Depreciating on Dec 03, 2020 + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Oct 29, 2020 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2018 + x-details: Swap the NLP with Named-Entity Recognition ENG + description: Depreciating on Sep 29,2020 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 16, 2018 + x-details: Initial version release + description: Archived + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.sentient.io/en/ + description: |+ + The URL of the page to be profiled. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/page_profiler_eng_v0.1.yaml b/nlp/page_profiler_eng_v0.1.yaml index cfeef7dee..64a7a6ed7 100644 --- a/nlp/page_profiler_eng_v0.1.yaml +++ b/nlp/page_profiler_eng_v0.1.yaml @@ -1,270 +1,272 @@ - openapi: 3.0.1 - info: - title: Page Profiler ENG - description: |+ - This NLP microservice retrieves web content in English from the input URL. - - From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - - Do ensure that your URL text is in the **ASCII format**. - x-additionalinfo: |+ - Suggested Use Cases: - - Gain insights from online customers - extract structured information from unstructured text data such as chatlogs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - version: '1.0.0' - x-subscribelink: page_profiler_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - payload cannot exceed 10 MB. - x-depreciated: "Oct 15, 2020" - servers: - - url: 'https://apis.sentient.io' - tags: - - name: "v1.0.0" - description: "Published Date - May 15, 2020" - paths: - /microservices/nlp/pageprofiler/v1.0/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"LOC": ["Beijing","Atlanta","Indonesia"], "MISC": [Twiight,Singaporean],"ORG": [CNA,Singapore Parliament],"PER": [Skip Navigation,Bookmarks]} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Invalid Input - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - components: - schemas: - success: - type: object - properties: - LOC: - type: array - example: ["Beijing","Atlanta","Indonesia"] - description: "name of location found in the text string" - MISC: - type: array - example: [Twiight,Singaporean] - description: "name of miscellaneous names found in the text string" - ORG: - type: array - example: [CNA,Singapore Parliament] - description: "name of organizations found in the text string" - PER: - type: array - example: [Skip Navigation,Bookmarks] - description: "name of persons found in the text string" - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v2.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Partial URL support - description: Latest Version - v2.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Oct 29,2020 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15, 2018 - x-details: Swaping the NLP with Named-Entity Recognition ENG - description: Depreciating on Sep 29, 2020 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 16, 2018 - x-details: Initial version release - description: Archived - input: - type: object - required: - - url - properties: - url: - x-name: url - type: string - default: true - example: https://www.sentient.io/en/ - description: |+ - The URL of the page to be profiled. - - Note that the URL has to be spelt in full, including "https://www." - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + openapi: 3.0.1 + info: + title: Page Profiler ENG + description: |+ + This NLP microservice retrieves web content in English from the input URL. + + From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + + Do ensure that your URL text is in the **ASCII format**. + x-additionalinfo: |+ + Suggested Use Cases: + - Gain insights from online customers - extract structured information from unstructured text data such as chatlogs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + version: '1.0.0' + x-subscribelink: page_profiler_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + API allows to retrieve from One URL per request. + x-apidetailsdesc: |+ + Retrieves web content in English from the input URL. + x-depreciated: "Oct 15, 2020" + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v1.0.0" + description: "Published Date - May 15, 2020" + paths: + /microservices/nlp/pageprofiler/v1.0/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"LOC": ["Beijing","Atlanta","Indonesia"], "MISC": [Twiight,Singaporean],"ORG": [CNA,Singapore Parliament],"PER": [Skip Navigation,Bookmarks]} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + LOC: + type: array + example: ["Beijing","Atlanta","Indonesia"] + description: "name of location found in the text string" + MISC: + type: array + example: [Twiight,Singaporean] + description: "name of miscellaneous names found in the text string" + ORG: + type: array + example: [CNA,Singapore Parliament] + description: "name of organizations found in the text string" + PER: + type: array + example: [Skip Navigation,Bookmarks] + description: "name of persons found in the text string" + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Partial URL support + description: Latest Version + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Oct 29,2020 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2018 + x-details: Swaping the NLP with Named-Entity Recognition ENG + description: Depreciating on Sep 29, 2020 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 16, 2018 + x-details: Initial version release + description: Archived + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.sentient.io/en/ + description: |+ + The URL of the page to be profiled. + + Note that the URL has to be spelt in full, including "https://www." + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/page_profiler_eng_v2.0.yaml b/nlp/page_profiler_eng_v2.0.yaml index 15636bb31..8bb8e9f47 100644 --- a/nlp/page_profiler_eng_v2.0.yaml +++ b/nlp/page_profiler_eng_v2.0.yaml @@ -1,241 +1,243 @@ - openapi: 3.0.1 - info: - title: Page Profiler ENG - description: |+ - This NLP microservice retrieves web content in English from the input URL. - - From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - x-subscribelink: page_profiler_eng - version: '2.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. - servers: - - url: 'https://apis.sentient.io' - tags: - - name: "v2.0" - description: "Published Date - Sep 30, 2020" - paths: - /microservices/nlp/pageprofiler/v2/getpredictions: - post: - tags: - - v2.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - loc: - type: array - example: ["Nat","Sentient.io","Home","Inte","CONTACT","Join"] - description: "name of location found in the text string" - misc: - type: array - example: ["Sentient.io","English"] - description: "name of misc found in the text string" - org: - type: array - example: ["Our Clients","AI","APIs","Sentient.io","Our Technology Partners","Named Entity Recognition","Our Investors"] - description: "name of org found in the text string" - per: - type: array - example: ["Sentient.io","Speech","LinkedIn"] - description: "name of persons found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Updated version release - description: Latest Version - v1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 11, 2018 - x-details: Initial version release - description: Archived - input: - type: object - required: - - url - properties: - url: - x-name: url - type: string - default: true - example: https://www.sentient.io/en/ - description: |+ - The URL of the page to be profile. Kindly note that the URL has to be spelt in full, including "https://www." - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + openapi: 3.0.1 + info: + title: Page Profiler ENG + description: |+ + This NLP microservice retrieves web content in English from the input URL. + + From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are persons, locations, organisations and miscellaneous.

This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + x-subscribelink: page_profiler_eng + version: '2.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + API allows to retrieve from One URL per request. + x-apidetailsdesc: |+ + Retrieves web content in English from the input URL. + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v2.0" + description: "Published Date - Sep 30, 2020" + paths: + /microservices/nlp/pageprofiler/v2/getpredictions: + post: + tags: + - v2.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + example: ["Nat","Sentient.io","Home","Inte","CONTACT","Join"] + description: "name of location found in the text string" + misc: + type: array + example: ["Sentient.io","English"] + description: "name of misc found in the text string" + org: + type: array + example: ["Our Clients","AI","APIs","Sentient.io","Our Technology Partners","Named Entity Recognition","Our Investors"] + description: "name of org found in the text string" + per: + type: array + example: ["Sentient.io","Speech","LinkedIn"] + description: "name of persons found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release + description: Latest Version + v1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 11, 2018 + x-details: Initial version release + description: Archived + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.sentient.io/en/ + description: |+ + The URL of the page to be profile. Kindly note that the URL has to be spelt in full, including "https://www." + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/page_profiler_jp.yaml b/nlp/page_profiler_jp.yaml index 549a62f28..9afd80dfb 100644 --- a/nlp/page_profiler_jp.yaml +++ b/nlp/page_profiler_jp.yaml @@ -1,349 +1,351 @@ - openapi: 3.0.1 - info: - title: Page Profiler JP - description: |+ - This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - x-additionalinfo: |+ - Suggested Use Cases: - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - version: '1.1.0' - x-subscribelink: page_profiler_jp - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. - servers: - - url: 'https://apis.sentient.io' - tags: - - name: "v1.1.0" - description: "Published Date - Dec 09, 2020" - paths: - /microservices/nlp/pageprofilerjp/v1/getpredictions: - post: - tags: - - v1.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - age: - - '56' - countx_other: - - 2稿 - - 8口 - doctrine_method_other: - - 険所コホ特室りょ - n_event: - - 受1 - numex_other: - - 百経 - ordinal_number: - - 30弾 - person: - - くぼ - - 壮 - - 琢紫 - - ナユ - product_other: - - 都合ヘラアニ限 - - 議帳 - show_organization: - - 左成相態 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - age: - type: array - items: - type: string - example: - - 56 - description: "age details found in the text string" - countx_other: - type: array - items: - type: string - example: - - 2稿 - - 8口 - description: "countx other details found in the text string" - doctrine_method_other: - type: array - items: - type: string - example: - - 険所コホ特室りょ - description: "doctrine method in the text string" - n_event: - type: array - items: - type: string - example: - - 受1 - description: "n_event in the text string" - numex_other: - type: array - items: - type: string - example: - - 受1 - description: "numex_other details found in the text string" - ordinal_number: - type: array - items: - type: string - example: - -30弾 - description: "ordinal_number details in the text string" - person: - type: array - items: - type: string - example: - - person - - 壮 - - 琢紫 - - ナユ - description: "person details found in the text string" - product_other: - type: array - items: - type: string - example: - - 都合ヘラアニ限 - - 議帳 - description: "product found in the text string" - show_organization: - type: array - items: - type: string - example: - - 左成相態 - description: "organization details found in the text string" - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Patch Update - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Partial URL support - description: Depreciating on Dec 08,2020 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - url - properties: - url: - x-name: url - type: string - default: true - example: https://www.bbc.com/japanese - description: |+ - The URL of the page to be profiled. - - Supported formats: ASCII only - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + openapi: 3.0.1 + info: + title: Page Profiler JP + description: |+ + This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + x-additionalinfo: |+ + Suggested Use Cases: + - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + version: '1.1.0' + x-subscribelink: page_profiler_jp + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + API allows to retrieve from One URL per request. + x-apidetailsdesc: |+ + Retrieves web content in Japanese from the input URL. + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v1.1.0" + description: "Published Date - Dec 09, 2020" + paths: + /microservices/nlp/pageprofilerjp/v1/getpredictions: + post: + tags: + - v1.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + age: + - '56' + countx_other: + - 2稿 + - 8口 + doctrine_method_other: + - 険所コホ特室りょ + n_event: + - 受1 + numex_other: + - 百経 + ordinal_number: + - 30弾 + person: + - くぼ + - 壮 + - 琢紫 + - ナユ + product_other: + - 都合ヘラアニ限 + - 議帳 + show_organization: + - 左成相態 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + age: + type: array + items: + type: string + example: + - 56 + description: "age details found in the text string" + countx_other: + type: array + items: + type: string + example: + - 2稿 + - 8口 + description: "countx other details found in the text string" + doctrine_method_other: + type: array + items: + type: string + example: + - 険所コホ特室りょ + description: "doctrine method in the text string" + n_event: + type: array + items: + type: string + example: + - 受1 + description: "n_event in the text string" + numex_other: + type: array + items: + type: string + example: + - 受1 + description: "numex_other details found in the text string" + ordinal_number: + type: array + items: + type: string + example: + -30弾 + description: "ordinal_number details in the text string" + person: + type: array + items: + type: string + example: + - person + - 壮 + - 琢紫 + - ナユ + description: "person details found in the text string" + product_other: + type: array + items: + type: string + example: + - 都合ヘラアニ限 + - 議帳 + description: "product found in the text string" + show_organization: + type: array + items: + type: string + example: + - 左成相態 + description: "organization details found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Patch Update + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Partial URL support + description: Depreciating on Dec 08,2020 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.bbc.com/japanese + description: |+ + The URL of the page to be profiled. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/page_profiler_thai.yaml b/nlp/page_profiler_thai.yaml index c3689453b..1f75e03b3 100644 --- a/nlp/page_profiler_thai.yaml +++ b/nlp/page_profiler_thai.yaml @@ -1,360 +1,362 @@ - openapi: 3.0.1 - info: - title: Page Profiler THAI - description: |+ - This NLP microservice retrieves web content in Thai from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - x-additionalinfo: |+ - Suggested Use Cases: - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. - version: '1.1.0' - x-subscribelink: page_profiler_thai - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. - servers: - - url: 'https://apis.sentient.io' - tags: - - name: "v1.1.0" - description: "Published Date - Dec 09, 2020" - paths: - /microservices/nlp/pageprofilerthai/v1/getpredictions: - post: - tags: - - v1.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - law: - - รุ้ง" จัดกิจกรรม"ตามหานาย" หน้ากองพันทหารม้าที่ 4 กองพล 1 รอ.ทวงถามความรับผิดชอบ - 28 กันยายน 2563 - ติดต่อโฆษณาออนไลน์ Worarak - location: - - กทม. - - เมียนมา - - อินเดีย - - ไทย - money: - - 7หมื่นชิ้น - - 33 ล้าน - organization: - - ทัพเพื่อไทย - - กรมอุตุฯ - - รฟม. - - มหาดไทย - - ปธ.อำนวยการ - person: - - น้องวีจิ - - สักงูเขียว รับผิดขอโทษ - - บิ๊กตู่ - - มาดามเดียร์"ติงนโยบายยกเว้นภาษี เปิดช่องรร.ทำกำไร - - ชูศักดิ์ - - รร.สารสาสน์ - - บิ๊กบราเธอร์" - - ครูจุ๋ม' - - ครูจุ๋ม" - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - law: - x-name: law - type: array - example: [พ.ร.บ.โรคระบาด พ.ศ.2499, รัฐธรรมนูญ] - description: "law details found in the text string" - location: - x-name: location - type: array - example: - - ประเทศไทย - - มาเลเซีย - - ทะเลอันดามัน - - กรุงเทพมหานคร - - อินโดนีเซีย - - ราชอาณาจักรไทย - - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ - - ลาวทางทิศตะวันออกติดกับลาว - - เอเชียตะวันออกเฉียงใต้ - - เวียดนาม - - ประเทศพม่า - - กัมพูชาทางทิศใต้ติดกับอ่าวไทย - description: "location found in the text string" - organization: - x-name: organization - type: array - example: - - รัฐสภา - description: "organization found in the text string" - date: - x-name: date - type: array - example: [2/21/2004, 16 ก.พ., จันทร์] - description: "date found in the text string" - money: - x-name: money - type: array - example: [2.7 ล้านบาท, 2,000 บาท] - description: "amount of currency found in the text string" - time: - x-name: time - type: array - example: [16.30 น., 5 วัน, 1-3 ปี] - description: "time found in the text string" - email: - x-name: email - type: array - example: [info@nrpsc.ac.th] - description: "email id found in the text string" - len: - x-name: len - type: array - example: [30 กิโลเมตร, 5 กม.] - description: "distance in km found in the text string" - person: - x-name: person - type: array - example: [น.พ.จรัล, นางประนอม ทองจันทร์] - description: "name of person found in the text string" - phone: - x-name: phone - type: array - example: [0 2670 8888] - description: "date found in the text string" - url: - x-name: url - type: array - example: [http://www.bangkokhealth.com/] - description: "url in the text string" - zip: - x-name: zip - type: array - example: [10400] - description: "zipcode found in the text string" - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Patch Update - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Partial URL support - description: Depreciating on Dec 08, 2020 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - url - properties: - url: - x-name: url - type: string - default: true - example: https://www.naewna.com/entertain/527527 - description: |+ - The URL of the page to be profiled. - - Supported formats: ASCII only - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + openapi: 3.0.1 + info: + title: Page Profiler THAI + description: |+ + This NLP microservice retrieves web content in Thai from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + x-additionalinfo: |+ + Suggested Use Cases: + - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + version: '1.1.0' + x-subscribelink: page_profiler_thai + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + API allows to retrieve from One URL per request. + x-apidetailsdesc: |+ + Retrieves web content in Thai from the input URL. + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v1.1.0" + description: "Published Date - Dec 09, 2020" + paths: + /microservices/nlp/pageprofilerthai/v1/getpredictions: + post: + tags: + - v1.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + law: + - รุ้ง" จัดกิจกรรม"ตามหานาย" หน้ากองพันทหารม้าที่ 4 กองพล 1 รอ.ทวงถามความรับผิดชอบ + 28 กันยายน 2563 + ติดต่อโฆษณาออนไลน์ Worarak + location: + - กทม. + - เมียนมา + - อินเดีย + - ไทย + money: + - 7หมื่นชิ้น + - 33 ล้าน + organization: + - ทัพเพื่อไทย + - กรมอุตุฯ + - รฟม. + - มหาดไทย + - ปธ.อำนวยการ + person: + - น้องวีจิ + - สักงูเขียว รับผิดขอโทษ + - บิ๊กตู่ + - มาดามเดียร์"ติงนโยบายยกเว้นภาษี เปิดช่องรร.ทำกำไร + - ชูศักดิ์ + - รร.สารสาสน์ + - บิ๊กบราเธอร์" + - ครูจุ๋ม' + - ครูจุ๋ม" + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + law: + x-name: law + type: array + example: [พ.ร.บ.โรคระบาด พ.ศ.2499, รัฐธรรมนูญ] + description: "law details found in the text string" + location: + x-name: location + type: array + example: + - ประเทศไทย + - มาเลเซีย + - ทะเลอันดามัน + - กรุงเทพมหานคร + - อินโดนีเซีย + - ราชอาณาจักรไทย + - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + - ลาวทางทิศตะวันออกติดกับลาว + - เอเชียตะวันออกเฉียงใต้ + - เวียดนาม + - ประเทศพม่า + - กัมพูชาทางทิศใต้ติดกับอ่าวไทย + description: "location found in the text string" + organization: + x-name: organization + type: array + example: + - รัฐสภา + description: "organization found in the text string" + date: + x-name: date + type: array + example: [2/21/2004, 16 ก.พ., จันทร์] + description: "date found in the text string" + money: + x-name: money + type: array + example: [2.7 ล้านบาท, 2,000 บาท] + description: "amount of currency found in the text string" + time: + x-name: time + type: array + example: [16.30 น., 5 วัน, 1-3 ปี] + description: "time found in the text string" + email: + x-name: email + type: array + example: [info@nrpsc.ac.th] + description: "email id found in the text string" + len: + x-name: len + type: array + example: [30 กิโลเมตร, 5 กม.] + description: "distance in km found in the text string" + person: + x-name: person + type: array + example: [น.พ.จรัล, นางประนอม ทองจันทร์] + description: "name of person found in the text string" + phone: + x-name: phone + type: array + example: [0 2670 8888] + description: "date found in the text string" + url: + x-name: url + type: array + example: [http://www.bangkokhealth.com/] + description: "url in the text string" + zip: + x-name: zip + type: array + example: [10400] + description: "zipcode found in the text string" + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Patch Update + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Partial URL support + description: Depreciating on Dec 08, 2020 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: https://www.naewna.com/entertain/527527 + description: |+ + The URL of the page to be profiled. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index 3985a45ca..bebf94c7b 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -1,315 +1,317 @@ -openapi: 3.0.1 -info: - title: Script Alignment - description: |+ - This NLP microservice aligns the input time-coded transcript with high-quality script. - - The output is a time-coded high-quality script. - - Do ensure that your text is within **5000 characters**. - version: '1.0.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used to create time-coded high-quality script for services like radio broadcasting, television broadcasting and digital content creation. - x-subscribelink: script_alignment - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Oct 30, 2020" -paths: - /microservices/nlp/scriptalignment/v1/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - output: - [{"end": 4,"seqNum": 1,"start": 1,"text": "Hello World"},{"end": 8.2,"seqNum": 2,"start": 4.92,"text": "This is a test"},{"end": 12.04,"seqNum": 3,"start": 8.88,"text": "This is another test"}] - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - output: - type: array - example: [{"end": 4,"seqNum": 1,"start": 1,"text": "Hello World"},{"end": 8.2,"seqNum": 2,"start": 4.92,"text": "This is a test"},{"end": 12.04,"seqNum": 3,"start": 8.88,"text": "This is another test"}] - description: The time-coded high-quality script - items: - oneOf: - - type: object - properties: - end: - type: string - example: 4 - description: End time of word, in seconds. Offset from the start of stream. - seqNum: - type: integer - example: 1 - description: Running sequence. Start from 1. - start: - type: string - example: 1 - description: Start time of word, in seconds. Offset from the start of stream. - text: - type: string - example: Hello World - description: Content of the utterance. - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 05, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - script - - transcript - properties: - script: - x-name: script - type: array - default: true - example: ["Hello World, This is a test. This is another test."] - description: |+ - An ordered array of text. Each element contains a line of the script. - - Supported formats: ASCII only - transcript: - x-name: transcript - type: array - default: true - example: [{"seqNum":1,"start":1.0,"end":4.0,"text":"HELLO WORLD"}] - description: |+ - An ordered array of utterance struct. - items: - oneOf: - - type: object - properties: - seqNum: - x-name: seqNum - type: integer - default: true - example: 1 - description: |+ - Running sequence. Start from 1. - start: - x-name: start - type: integer - format: float - default: true - example: 1.0 - description: |+ - Start time of utterance, in seconds. Offset from the start of stream. - end: - x-name: end - type: integer - format: float - default: true - example: 4.0 - description: |+ - End time of utterance, in seconds. Offset from the end of stream. - text: - x-name: text - type: string - default: true - example: HELLO WORLD - description: |+ - Content of the utterance. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Script Alignment + description: |+ + This NLP microservice aligns the input time-coded transcript with high-quality script. + + The output is a time-coded high-quality script. + + Do ensure that your text is within **5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used to create time-coded high-quality script for services like radio broadcasting, television broadcasting and digital content creation. + x-subscribelink: script_alignment + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Aligns the input time-coded transcript. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" +paths: + /microservices/nlp/scriptalignment/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: + [{"end": 4,"seqNum": 1,"start": 1,"text": "Hello World"},{"end": 8.2,"seqNum": 2,"start": 4.92,"text": "This is a test"},{"end": 12.04,"seqNum": 3,"start": 8.88,"text": "This is another test"}] + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: [{"end": 4,"seqNum": 1,"start": 1,"text": "Hello World"},{"end": 8.2,"seqNum": 2,"start": 4.92,"text": "This is a test"},{"end": 12.04,"seqNum": 3,"start": 8.88,"text": "This is another test"}] + description: The time-coded high-quality script + items: + oneOf: + - type: object + properties: + end: + type: string + example: 4 + description: End time of word, in seconds. Offset from the start of stream. + seqNum: + type: integer + example: 1 + description: Running sequence. Start from 1. + start: + type: string + example: 1 + description: Start time of word, in seconds. Offset from the start of stream. + text: + type: string + example: Hello World + description: Content of the utterance. + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 05, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - script + - transcript + properties: + script: + x-name: script + type: array + default: true + example: ["Hello World, This is a test. This is another test."] + description: |+ + An ordered array of text. Each element contains a line of the script. + + Supported formats: ASCII only + transcript: + x-name: transcript + type: array + default: true + example: [{"seqNum":1,"start":1.0,"end":4.0,"text":"HELLO WORLD"}] + description: |+ + An ordered array of utterance struct. + items: + oneOf: + - type: object + properties: + seqNum: + x-name: seqNum + type: integer + default: true + example: 1 + description: |+ + Running sequence. Start from 1. + start: + x-name: start + type: integer + format: float + default: true + example: 1.0 + description: |+ + Start time of utterance, in seconds. Offset from the start of stream. + end: + x-name: end + type: integer + format: float + default: true + example: 4.0 + description: |+ + End time of utterance, in seconds. Offset from the end of stream. + text: + x-name: text + type: string + default: true + example: HELLO WORLD + description: |+ + Content of the utterance. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/script_alignment_v0.1.yaml b/nlp/script_alignment_v0.1.yaml index cd8c7d350..6a06fde74 100644 --- a/nlp/script_alignment_v0.1.yaml +++ b/nlp/script_alignment_v0.1.yaml @@ -1,297 +1,299 @@ -openapi: 3.0.1 -info: - title: Script Alignment - description: |+ - This NLP microservice aligns the input time-coded transcript with high-quality script. - - The output is the time-coded high-quality script. - - Do ensure that your text is within **5000 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used to create time-coded high-quality script for services like radio broadcasting, television broadcasting and digital content creation. - version: '0.1.0' - x-subscribelink: script_alignment - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jun 05, 2020" -paths: - /microservices/nlp/scriptalignment/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: [{"end": 4,"seqNum": 1,"start": 1,"text": "Hello World"},{"end": 8.2,"seqNum": 2,"start": 4.92,"text": "This is a test"},{"end": 12.04,"seqNum": 3,"start": 8.88,"text": "This is another test"}] - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: array - example: [{"end": 4,"seqNum": 1,"start": 1,"text": "Hello World"},{"end": 8.2,"seqNum": 2,"start": 4.92,"text": "This is a test"},{"end": 12.04,"seqNum": 3,"start": 8.88,"text": "This is another test"}] - description: The time-coded high-quality script - items: - oneOf: - - type: object - properties: - end: - type: string - example: 4 - description: End time of word, in seconds. Offset from the start of stream. - seqNum: - type: integer - example: 1 - description: Running sequence. Start from 1. - start: - type: string - example: 1 - description: Start time of word, in seconds. Offset from the start of stream. - text: - type: string - example: Hello World - description: Content of the utterance. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 05, 2020 - x-detils: Initial version release - description: Archived - input: - type: object - required: - - script - - transcript - properties: - script: - x-name: script - type: array - default: true - example: ["Hello World, This is a test. This is another test."] - description: |+ - An ordered array of text. Each element contains a line of the script. - - Supported formats: ASCII only - transcript: - x-name: transcript - type: array - default: true - example: [{"seqNum":1,"start":1.0,"end":4.0,"text":"HELLO WORLD"}] - description: |+ - An ordered array of utterance struct. - items: - oneOf: - - type: object - properties: - seqNum: - x-name: seqNum - type: integer - default: true - example: 1 - description: |+ - Running sequence. Start from 1. - start: - x-name: start - type: integer - format: float - default: true - example: 1.0 - description: |+ - Start time of utterance, in seconds. Offset from the start of stream. - end: - x-name: end - type: integer - format: float - default: true - example: 4.0 - description: |+ - End time of utterance, in seconds. Offset from the end of stream. - text: - x-name: text - type: string - default: true - example: HELLO WORLD - description: |+ - Content of the utterance. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Script Alignment + description: |+ + This NLP microservice aligns the input time-coded transcript with high-quality script. + + The output is the time-coded high-quality script. + + Do ensure that your text is within **5000 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used to create time-coded high-quality script for services like radio broadcasting, television broadcasting and digital content creation. + version: '0.1.0' + x-subscribelink: script_alignment + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Aligns the input time-coded transcript. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jun 05, 2020" +paths: + /microservices/nlp/scriptalignment/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: [{"end": 4,"seqNum": 1,"start": 1,"text": "Hello World"},{"end": 8.2,"seqNum": 2,"start": 4.92,"text": "This is a test"},{"end": 12.04,"seqNum": 3,"start": 8.88,"text": "This is another test"}] + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: array + example: [{"end": 4,"seqNum": 1,"start": 1,"text": "Hello World"},{"end": 8.2,"seqNum": 2,"start": 4.92,"text": "This is a test"},{"end": 12.04,"seqNum": 3,"start": 8.88,"text": "This is another test"}] + description: The time-coded high-quality script + items: + oneOf: + - type: object + properties: + end: + type: string + example: 4 + description: End time of word, in seconds. Offset from the start of stream. + seqNum: + type: integer + example: 1 + description: Running sequence. Start from 1. + start: + type: string + example: 1 + description: Start time of word, in seconds. Offset from the start of stream. + text: + type: string + example: Hello World + description: Content of the utterance. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 05, 2020 + x-detils: Initial version release + description: Archived + input: + type: object + required: + - script + - transcript + properties: + script: + x-name: script + type: array + default: true + example: ["Hello World, This is a test. This is another test."] + description: |+ + An ordered array of text. Each element contains a line of the script. + + Supported formats: ASCII only + transcript: + x-name: transcript + type: array + default: true + example: [{"seqNum":1,"start":1.0,"end":4.0,"text":"HELLO WORLD"}] + description: |+ + An ordered array of utterance struct. + items: + oneOf: + - type: object + properties: + seqNum: + x-name: seqNum + type: integer + default: true + example: 1 + description: |+ + Running sequence. Start from 1. + start: + x-name: start + type: integer + format: float + default: true + example: 1.0 + description: |+ + Start time of utterance, in seconds. Offset from the start of stream. + end: + x-name: end + type: integer + format: float + default: true + example: 4.0 + description: |+ + End time of utterance, in seconds. Offset from the end of stream. + text: + x-name: text + type: string + default: true + example: HELLO WORLD + description: |+ + Content of the utterance. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/sentiment_analysis_and_sarcasm_detection.yaml b/nlp/sentiment_analysis_and_sarcasm_detection.yaml index c907a7630..6386ab2e8 100644 --- a/nlp/sentiment_analysis_and_sarcasm_detection.yaml +++ b/nlp/sentiment_analysis_and_sarcasm_detection.yaml @@ -1,298 +1,300 @@ -openapi: 3.0.1 -info: - title: Sentiment Analysis and Sarcasm Detection - x-subscribelink: sentiment_analysis_and_sarcasm_detection - description: |+ - This NLP microservice accepts text and returns a response containing the overall sarcasm of the input text as well as the overall sentiment and confidence score for each sentiment label (positive, negative, and neutral). - There are no limitations to the number of characters that you can input. However, for the best results, please input short text such as tweets, comments, news, and headlines. - Do ensure that your text is within **5000 characters**. - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 08, 2021" -paths: - /microservices/nlp/sentimentanalysis/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - anger: 0.42 - fear: 0.352 - joy: 0.513 - sadness: 0.371 - sarcasm_result: 0.92 - valence: 0.584 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - anger: - type: number - example: 0.42 - description: |+ - Range 0-1 - Continuous variable ranging from 0 to 1; - 0 suggests that this text does not express any anger; - 0.52 to 0.60 suggests medium intensity of the emotion - 0.60 to 0.80 suggest high intensity of the emotion - 0.8 to 1 indicates an extremely high intensity of anger; - Values between 0.48 and 0.52 are considered neutral. - fear (or Anxiety): - type: number - example: 0.352 - description: |+ - Range 0-1 - Continuous variable ranging from 0 to 1; - 0 suggests that this text does not express any Fear/Anxiety; - 0.52 to 0.60 suggests medium intensity of the emotion - 0.60 to 0.80 suggest high intensity of the emotion - 0.80 to 1 indicates an extremely high intensity of Fear/Anxiety; - Values between 0.48 and 0.52 are considered neutral. - sadness: - type: number - example: 0.371 - description: |+ - Range 0-1 - Continuous variable ranging from 0 to 1; - 0 suggests that this text does not express any Sadness; - 0.52 to 0.60 suggests medium intensity of the emotion - 0.60 to 0.80 suggest high intensity of the emotion - 0.80 to 1 indicates an extremely high intensity of Sadness; - Values between 0.48 and 0.52 are considered neutral. - joy: - type: number - example: 0.371 - description: |+ - Range 0-1 - Continuous variable ranging from 0 to 1; - 0 suggests that this text does not express any Joy; - 0.52 to 0.60 suggests medium intensity of the emotion - 0.60 to 0.80 suggest high intensity of the emotion - 0.80 to 1 indicates an extremely high intensity of Joy; - Values between 0.48 and 0.52 are considered neutral. - valence (overall sentiment): - type: number - example: 0.584 - description: |+ - Range 0-1 - Continuous variable ranging from 0 to 1; - 0 suggests that this text expresses a very negative sentiment; - 1 indicates that this text expresses a very positive sentiment; - Values between 0.48 and 0.52 are considered neutral. - sarcasm_result: - type: number - example: 0.584 - description: |+ - Range 0-1 - Continuous variable ranging from 0 to 1; - 0-0.48 suggests that there’s a low probability that it’s a sarcastic - comment; - 0.52-1 suggests that there’s a high probability that it’s a sarcastic - comment; - Values between 0.48 and 0.52 are considered neutral. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 08, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - text: - type: string - default: true - example: this is a good day. - description: Input String - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Sentiment Analysis and Sarcasm Detection + x-subscribelink: sentiment_analysis_and_sarcasm_detection + description: |+ + This NLP microservice accepts text and returns a response containing the overall sarcasm of the input text as well as the overall sentiment and confidence score for each sentiment label (positive, negative, and neutral). + There are no limitations to the number of characters that you can input. However, for the best results, please input short text such as tweets, comments, news, and headlines. + Do ensure that your text is within **5000 characters**. + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Returns overall sentiment and confidence score for each sentiment label. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 08, 2021" +paths: + /microservices/nlp/sentimentanalysis/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + anger: 0.42 + fear: 0.352 + joy: 0.513 + sadness: 0.371 + sarcasm_result: 0.92 + valence: 0.584 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + anger: + type: number + example: 0.42 + description: |+ + Range 0-1 + Continuous variable ranging from 0 to 1; + 0 suggests that this text does not express any anger; + 0.52 to 0.60 suggests medium intensity of the emotion + 0.60 to 0.80 suggest high intensity of the emotion + 0.8 to 1 indicates an extremely high intensity of anger; + Values between 0.48 and 0.52 are considered neutral. + fear (or Anxiety): + type: number + example: 0.352 + description: |+ + Range 0-1 + Continuous variable ranging from 0 to 1; + 0 suggests that this text does not express any Fear/Anxiety; + 0.52 to 0.60 suggests medium intensity of the emotion + 0.60 to 0.80 suggest high intensity of the emotion + 0.80 to 1 indicates an extremely high intensity of Fear/Anxiety; + Values between 0.48 and 0.52 are considered neutral. + sadness: + type: number + example: 0.371 + description: |+ + Range 0-1 + Continuous variable ranging from 0 to 1; + 0 suggests that this text does not express any Sadness; + 0.52 to 0.60 suggests medium intensity of the emotion + 0.60 to 0.80 suggest high intensity of the emotion + 0.80 to 1 indicates an extremely high intensity of Sadness; + Values between 0.48 and 0.52 are considered neutral. + joy: + type: number + example: 0.371 + description: |+ + Range 0-1 + Continuous variable ranging from 0 to 1; + 0 suggests that this text does not express any Joy; + 0.52 to 0.60 suggests medium intensity of the emotion + 0.60 to 0.80 suggest high intensity of the emotion + 0.80 to 1 indicates an extremely high intensity of Joy; + Values between 0.48 and 0.52 are considered neutral. + valence (overall sentiment): + type: number + example: 0.584 + description: |+ + Range 0-1 + Continuous variable ranging from 0 to 1; + 0 suggests that this text expresses a very negative sentiment; + 1 indicates that this text expresses a very positive sentiment; + Values between 0.48 and 0.52 are considered neutral. + sarcasm_result: + type: number + example: 0.584 + description: |+ + Range 0-1 + Continuous variable ranging from 0 to 1; + 0-0.48 suggests that there’s a low probability that it’s a sarcastic + comment; + 0.52-1 suggests that there’s a high probability that it’s a sarcastic + comment; + Values between 0.48 and 0.52 are considered neutral. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 08, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + text: + type: string + default: true + example: this is a good day. + description: Input String + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index dbc344fb9..3a93c5b80 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -1,343 +1,345 @@ -openapi: 3.0.1 -info: - title: spaCy NER - description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. - The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. - It can also return the start and end positions of the identified entities in the text by setting the optional parameter "entity_position". - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - Do ensure that your text is **within 5000 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning -e.g. tokenization, Parts-of-Speech (PoS) Tagging, Text Classification and Named Entity Recognition. - version: '1.0.0' - x-subscribelink: spacy_ner - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Nov 26, 2021" -paths: - /microservices/nlp/spacyner/v1/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"fac": [["Changi Airport",1,3],["Changi Airport",7,9],["the first Airport",71,74]],"gpe": [["Singapore",0,1],["Singapore",3,32],["Changi",109,110],["Singapore",116,117],["Singapore",129,130],["Singapore",162,163]],"loc": [["Asia",42,43],["Marina Bay",126,128]],"org": [["ICAO",14,15],["WSSS",16,17],["FAA",18,19],["the World's Best Airport",63,68],["Skytrax",69,70],["Changi Airport Group",152,155],["Jetstar Asia Airways",173,176],["BOC Aviation",177,179]],"quantity": [["approximately 20 km",118,121],["5.0 sq mi",141,144]]},"status": "Success"} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - person: - x-name: person - type: array - example: [[Donald Trump,1,3]] - description: People, including fictional. - norp: - x-name: norp - type: array - example: [[Chinese,1,2],[Singaporean,4,5],[Malay,6,7]] - description: Nationalities or religious or political groups. - fac: - x-name: fac - type: array - example: [[Changi Airport,1,3], ["Changi Airport",7, 9],["the first Airport",71,74]] - description: Buildings, airports, highways, bridges, etc. - org: - x-name: org - type: array - example: [["ICAO",14,15],["WSSS",16,17],["FAA",18,19],["the World's Best Airport",63,68],["Skytrax",69,70],["Changi Airport Group",152,155],["Jetstar Asia Airways",173,176],["BOC Aviation",177,179]] - description: Companies, agencies, institutions, etc. - gpe: - x-name: gpe - type: array - example: [["Singapore",0,1],["Singapore",31,32],["Changi",109,110],["Singapore",116,117],["Singapore",129,130],["Singapore",162,163]] - description: Countries, cities, states. - loc: - x-name: loc - type: array - example: [["Asia",42,43],["Marina Bay",126,128]] - description: Non-GPE locations, mountain ranges, bodies of water. - product: - x-name: product - type: array - example: [[Formula 1, 5,7],[Motorrad,8,9]] - description: Objects, vehicles, foods, etc. (Not services.) - event: - x-name: event - type: array - example: [[the Second World War,1,5]] - description: Named hurricanes, battles, wars, sports events, etc. - work_of_art: - x-name: work_of_art - type: array - example: [[Wizardry,1,2]] - description: Titles of books, songs, etc. - law: - x-name: law - type: array - example: [[the Penal Code,1,4],[the Internal Security Act,5,9],[the Constitution of the Republic of Singapore,9,16],[the Evidence Act,16,19],[the Societies Act,19,22]] - description: Named documents made into laws. - language: - x-name: language - type: array - example: [[English,1,2]] - description: Any named language. - date: - x-name: date - type: array - example: [[Tuesday,1,2]] - description: Absolute or relative dates or periods. - time: - x-name: time - type: array - example: [[twenty-four hours,1,5]] - description: Times smaller than a day. - percent: - x-name: percent - type: array - example: [[91%,1,2],[25%,2,3],[61%,4,5]] - description: Percentage, including ”%“. - money: - x-name: money - type: array - example: [[up to $1000,1,4]] - description: Monetary values, including unit. - quantity: - x-name: quantity - type: array - example: [[about one degree,85 miles,137 kilometres,1,8]] - description: Measurements, as of weight or distance. - ordinal: - x-name: ordinal - type: array - example: [[ninth,1,2],[seventh,3,4],[second,5,6]] - description: “first”, “second”, etc. - cardinal: - x-name: cardinal - type: array - example: [[four,1,2]] - description: Numerals that do not fall under another type. - message: - x-name: message - type: string - example: Successfully Processed - description: Detail description on the API status - - status: - x-name: status - type: string - example: Success - description: The status of the API call success/failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 26, 2021 - x-details: Optional input parameter introduced. Output Format Changed - description: Latest Version - v0.1.0: - type: array" - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Initial version release - desrciption: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." - description: |+ - Input text - return_entity_position: - x-name: return_entity_position - type: boolean - default: false - example: false - description: |+ - Boolean value indicating whether entity position needs to be returned or not. Default value is False. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: spaCy NER + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. + The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + It can also return the start and end positions of the identified entities in the text by setting the optional parameter "entity_position". + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + Do ensure that your text is **within 5000 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning -e.g. tokenization, Parts-of-Speech (PoS) Tagging, Text Classification and Named Entity Recognition. + version: '1.0.0' + x-subscribelink: spacy_ner + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies the named-entities classes from input unstructured English text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Nov 26, 2021" +paths: + /microservices/nlp/spacyner/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message": "Successfully Processed","results": {"fac": [["Changi Airport",1,3],["Changi Airport",7,9],["the first Airport",71,74]],"gpe": [["Singapore",0,1],["Singapore",3,32],["Changi",109,110],["Singapore",116,117],["Singapore",129,130],["Singapore",162,163]],"loc": [["Asia",42,43],["Marina Bay",126,128]],"org": [["ICAO",14,15],["WSSS",16,17],["FAA",18,19],["the World's Best Airport",63,68],["Skytrax",69,70],["Changi Airport Group",152,155],["Jetstar Asia Airways",173,176],["BOC Aviation",177,179]],"quantity": [["approximately 20 km",118,121],["5.0 sq mi",141,144]]},"status": "Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + person: + x-name: person + type: array + example: [[Donald Trump,1,3]] + description: People, including fictional. + norp: + x-name: norp + type: array + example: [[Chinese,1,2],[Singaporean,4,5],[Malay,6,7]] + description: Nationalities or religious or political groups. + fac: + x-name: fac + type: array + example: [[Changi Airport,1,3], ["Changi Airport",7, 9],["the first Airport",71,74]] + description: Buildings, airports, highways, bridges, etc. + org: + x-name: org + type: array + example: [["ICAO",14,15],["WSSS",16,17],["FAA",18,19],["the World's Best Airport",63,68],["Skytrax",69,70],["Changi Airport Group",152,155],["Jetstar Asia Airways",173,176],["BOC Aviation",177,179]] + description: Companies, agencies, institutions, etc. + gpe: + x-name: gpe + type: array + example: [["Singapore",0,1],["Singapore",31,32],["Changi",109,110],["Singapore",116,117],["Singapore",129,130],["Singapore",162,163]] + description: Countries, cities, states. + loc: + x-name: loc + type: array + example: [["Asia",42,43],["Marina Bay",126,128]] + description: Non-GPE locations, mountain ranges, bodies of water. + product: + x-name: product + type: array + example: [[Formula 1, 5,7],[Motorrad,8,9]] + description: Objects, vehicles, foods, etc. (Not services.) + event: + x-name: event + type: array + example: [[the Second World War,1,5]] + description: Named hurricanes, battles, wars, sports events, etc. + work_of_art: + x-name: work_of_art + type: array + example: [[Wizardry,1,2]] + description: Titles of books, songs, etc. + law: + x-name: law + type: array + example: [[the Penal Code,1,4],[the Internal Security Act,5,9],[the Constitution of the Republic of Singapore,9,16],[the Evidence Act,16,19],[the Societies Act,19,22]] + description: Named documents made into laws. + language: + x-name: language + type: array + example: [[English,1,2]] + description: Any named language. + date: + x-name: date + type: array + example: [[Tuesday,1,2]] + description: Absolute or relative dates or periods. + time: + x-name: time + type: array + example: [[twenty-four hours,1,5]] + description: Times smaller than a day. + percent: + x-name: percent + type: array + example: [[91%,1,2],[25%,2,3],[61%,4,5]] + description: Percentage, including ”%“. + money: + x-name: money + type: array + example: [[up to $1000,1,4]] + description: Monetary values, including unit. + quantity: + x-name: quantity + type: array + example: [[about one degree,85 miles,137 kilometres,1,8]] + description: Measurements, as of weight or distance. + ordinal: + x-name: ordinal + type: array + example: [[ninth,1,2],[seventh,3,4],[second,5,6]] + description: “first”, “second”, etc. + cardinal: + x-name: cardinal + type: array + example: [[four,1,2]] + description: Numerals that do not fall under another type. + message: + x-name: message + type: string + example: Successfully Processed + description: Detail description on the API status + + status: + x-name: status + type: string + example: Success + description: The status of the API call success/failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 26, 2021 + x-details: Optional input parameter introduced. Output Format Changed + description: Latest Version + v0.1.0: + type: array" + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Initial version release + desrciption: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." + description: |+ + Input text + return_entity_position: + x-name: return_entity_position + type: boolean + default: false + example: false + description: |+ + Boolean value indicating whether entity position needs to be returned or not. Default value is False. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/spacy_ner_v0.1.yaml b/nlp/spacy_ner_v0.1.yaml index 698f3ef4d..fa3aac927 100644 --- a/nlp/spacy_ner_v0.1.yaml +++ b/nlp/spacy_ner_v0.1.yaml @@ -1,329 +1,331 @@ -openapi: 3.0.1 -info: - title: spaCy NER - description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. - - The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. - - This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - - Do ensure that your text is **within 5000 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning -e.g. tokenization, Parts-of-Speech (PoS) Tagging, Text Classification and Named Entity Recognition. - version: '0.1.0' - x-subscribelink: spacy_ner - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 30, 2020" -paths: - /microservices/nlp/spacyner/v1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"fac": ["Changi Airport","the first Airport"],"gpe": ["Changi","Singapore"],"loc": ["Marina Bay","Asia"],"org": ["WSSS","BOC Aviation","Jetstar Asia Airways","Changi Airport Group","FAA","Skytrax","ICAO","the World's Best Airport"],"quantity": ["5.0 sq mi","approximately 20 km"]},"status": "Success"} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - person: - x-name: person - type: array - example: [DONALD TRUMP,Mike Pompeo] - description: People, including fictional. - norp: - x-name: norp - type: array - example: [Chinese,Singaporean,Malay] - description: Nationalities or religious or political groups. - fac: - x-name: fac - type: array - example: [Changi Airport, the first Airport] - description: Buildings, airports, highways, bridges, etc. - org: - x-name: org - type: array - example: [WSSS,BOC Aviation] - description: Companies, agencies, institutions, etc. - gpe: - x-name: gpe - type: array - example: [Changi,Singapore] - description: Countries, cities, states. - loc: - x-name: loc - type: array - example: [Marina Bay, Asia] - description: Non-GPE locations, mountain ranges, bodies of water. - product: - x-name: product - type: array - example: [Formula 1,Motorrad] - description: Objects, vehicles, foods, etc. (Not services.) - event: - x-name: event - type: array - example: [the Second World War] - description: Named hurricanes, battles, wars, sports events, etc. - work_of_art: - x-name: work_of_art - type: array - example: [Wizardry] - description: Titles of books, songs, etc. - law: - x-name: law - type: array - example: [the Penal Code,the Internal Security Act,the Constitution of the Republic of Singapore",the Evidence Act,the Societies Act] - description: Named documents made into laws. - language: - x-name: language - type: array - example: [English] - description: Any named language. - date: - x-name: date - type: array - example: [Tuesday] - description: Absolute or relative dates or periods. - time: - x-name: time - type: array - example: [twenty-four hours] - description: Times smaller than a day. - percent: - x-name: percent - type: array - example: [91%,25%,61%] - description: Percentage, including ”%“. - money: - x-name: money - type: array - example: [up to $1000] - description: Monetary values, including unit. - quantity: - x-name: quantity - type: array - example: [about one degree,85 miles,137 kilometres] - description: Measurements, as of weight or distance. - ordinal: - x-name: ordinal - type: array - example: [ninth,seventh,second] - description: “first”, “second”, etc. - cardinal: - x-name: cardinal - type: array - example: [four] - description: Numerals that do not fall under another type. - message: - x-name: message - type: string - example: Successfully Processed - description: Detail description on the API status - - status: - x-name: status - type: string - example: Success - description: The status of the API call success/failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." - description: |+ - Input text - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: spaCy NER + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. + + The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + + Do ensure that your text is **within 5000 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning -e.g. tokenization, Parts-of-Speech (PoS) Tagging, Text Classification and Named Entity Recognition. + version: '0.1.0' + x-subscribelink: spacy_ner + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies the named-entities classes from input unstructured English text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 30, 2020" +paths: + /microservices/nlp/spacyner/v1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message": "Successfully Processed","results": {"fac": ["Changi Airport","the first Airport"],"gpe": ["Changi","Singapore"],"loc": ["Marina Bay","Asia"],"org": ["WSSS","BOC Aviation","Jetstar Asia Airways","Changi Airport Group","FAA","Skytrax","ICAO","the World's Best Airport"],"quantity": ["5.0 sq mi","approximately 20 km"]},"status": "Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + person: + x-name: person + type: array + example: [DONALD TRUMP,Mike Pompeo] + description: People, including fictional. + norp: + x-name: norp + type: array + example: [Chinese,Singaporean,Malay] + description: Nationalities or religious or political groups. + fac: + x-name: fac + type: array + example: [Changi Airport, the first Airport] + description: Buildings, airports, highways, bridges, etc. + org: + x-name: org + type: array + example: [WSSS,BOC Aviation] + description: Companies, agencies, institutions, etc. + gpe: + x-name: gpe + type: array + example: [Changi,Singapore] + description: Countries, cities, states. + loc: + x-name: loc + type: array + example: [Marina Bay, Asia] + description: Non-GPE locations, mountain ranges, bodies of water. + product: + x-name: product + type: array + example: [Formula 1,Motorrad] + description: Objects, vehicles, foods, etc. (Not services.) + event: + x-name: event + type: array + example: [the Second World War] + description: Named hurricanes, battles, wars, sports events, etc. + work_of_art: + x-name: work_of_art + type: array + example: [Wizardry] + description: Titles of books, songs, etc. + law: + x-name: law + type: array + example: [the Penal Code,the Internal Security Act,the Constitution of the Republic of Singapore",the Evidence Act,the Societies Act] + description: Named documents made into laws. + language: + x-name: language + type: array + example: [English] + description: Any named language. + date: + x-name: date + type: array + example: [Tuesday] + description: Absolute or relative dates or periods. + time: + x-name: time + type: array + example: [twenty-four hours] + description: Times smaller than a day. + percent: + x-name: percent + type: array + example: [91%,25%,61%] + description: Percentage, including ”%“. + money: + x-name: money + type: array + example: [up to $1000] + description: Monetary values, including unit. + quantity: + x-name: quantity + type: array + example: [about one degree,85 miles,137 kilometres] + description: Measurements, as of weight or distance. + ordinal: + x-name: ordinal + type: array + example: [ninth,seventh,second] + description: “first”, “second”, etc. + cardinal: + x-name: cardinal + type: array + example: [four] + description: Numerals that do not fall under another type. + message: + x-name: message + type: string + example: Successfully Processed + description: Detail description on the API status + + status: + x-name: status + type: string + example: Success + description: The status of the API call success/failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/taxonomy_matcher_eng.yaml b/nlp/taxonomy_matcher_eng.yaml index e5e66a4ae..e40d9700a 100644 --- a/nlp/taxonomy_matcher_eng.yaml +++ b/nlp/taxonomy_matcher_eng.yaml @@ -1,278 +1,280 @@ - -openapi: 3.0.1 -info: - title: Taxonomy Matcher ENG - description: |+ - This NLP microservice matches the input word with the name of a leaf node in the predefined English taxonomy. The entire branch from the matched leaf node to the root of the corresponding taxonomy tree is returned. - - The full taxonomy consists of major categories (for e.g. retail, cars, etc.). Each category is stored as a separate taxonomy tree within the Taxonomy instance. Each node in a taxonomy tree is identified using a node_id. It has attributes: name (a human readable string), level (how far it is from the root node) and type (whether it is a root node, leaf node or body node). - - This microservice helps to identify the types of concept that are frequently mentioned in an article. - - version: '1.0.1' - x-additionalinfo: |+ - Suggested Use Cases: - - Categorise a particular word to pre-built taxonomy tree. - - This microservice can be used to manage taxonomies, such as a hierarchy of product categories used for an eCommerce site. The information in a taxonomy is meta-information about the categories used to classify a set of things. For an eCommerce site, the set of things are items in the product catalog. Users can use this meta-information to enhance search. - x-subscribelink: taxonomy_matcher_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.1" - description: "Published Date - May 12, 2021" -paths: - /microservices/nlp/taxonomy/v1/getpredictions: - post: - tags: - - v1.0.1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - bus: - - - - careers/job by industry/travel/bus - - 1 - - - - news/business news/travel/bus - - 1 - message: Successfully Processed - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - : - type: array - example: [["news/sport/swimming/bike",1]] - description: List of taxonomy for the requested object name - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - - versions: - type: object - properties: - v1.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - May 12, 2021 - x-details: Error handling fixed - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Depreciating on May 11, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 24, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: array - default: true - example: ["bus","cars","bike","train","buildings","Audi R8"] - description: |+ - A list of object names to be classified. Up to a maximum of 20 search terms can be processed each time. - - Supported formats: ASCII only - threshold: - x-name: threshold - type: integer - default: true - example: 1 - description: |+ - The "threshold" specifies the level of similarity that the search term must match with terms in the taxonomy tree. Values range between 0.0 and 1.0 .It is optional. The default value is 1 (which means an exact match is required). Lowering the threshold will allow matches that are similar but not identical. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Taxonomy Matcher ENG + description: |+ + This NLP microservice matches the input word with the name of a leaf node in the predefined English taxonomy. The entire branch from the matched leaf node to the root of the corresponding taxonomy tree is returned. + + The full taxonomy consists of major categories (for e.g. retail, cars, etc.). Each category is stored as a separate taxonomy tree within the Taxonomy instance. Each node in a taxonomy tree is identified using a node_id. It has attributes: name (a human readable string), level (how far it is from the root node) and type (whether it is a root node, leaf node or body node). + + This microservice helps to identify the types of concept that are frequently mentioned in an article. + + version: '1.0.1' + x-additionalinfo: |+ + Suggested Use Cases: + - Categorise a particular word to pre-built taxonomy tree. + - This microservice can be used to manage taxonomies, such as a hierarchy of product categories used for an eCommerce site. The information in a taxonomy is meta-information about the categories used to classify a set of things. For an eCommerce site, the set of things are items in the product catalog. Users can use this meta-information to enhance search. + x-subscribelink: taxonomy_matcher_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Matches the input word with the name of a leaf node in the predefined English taxonomy +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.1" + description: "Published Date - May 12, 2021" +paths: + /microservices/nlp/taxonomy/v1/getpredictions: + post: + tags: + - v1.0.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + bus: + - + - careers/job by industry/travel/bus + - 1 + - + - news/business news/travel/bus + - 1 + message: Successfully Processed + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + : + type: array + example: [["news/sport/swimming/bike",1]] + description: List of taxonomy for the requested object name + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + + versions: + type: object + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 12, 2021 + x-details: Error handling fixed + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Depreciating on May 11, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: array + default: true + example: ["bus","cars","bike","train","buildings","Audi R8"] + description: |+ + A list of object names to be classified. Up to a maximum of 20 search terms can be processed each time. + + Supported formats: ASCII only + threshold: + x-name: threshold + type: integer + default: true + example: 1 + description: |+ + The "threshold" specifies the level of similarity that the search term must match with terms in the taxonomy tree. Values range between 0.0 and 1.0 .It is optional. The default value is 1 (which means an exact match is required). Lowering the threshold will allow matches that are similar but not identical. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/taxonomy_matcher_eng_v0.1.yaml b/nlp/taxonomy_matcher_eng_v0.1.yaml index 1407c989b..fb64033ee 100644 --- a/nlp/taxonomy_matcher_eng_v0.1.yaml +++ b/nlp/taxonomy_matcher_eng_v0.1.yaml @@ -1,255 +1,257 @@ -openapi: 3.0.1 -info: - title: Taxonomy Matcher ENG - description: |+ - This NLP microservice matches the input word with the name of a leaf nodes in the predefined English taxonomy. The entire branch from the matched leaf node to the root of the corresponding taxonomy tree is returned. - - The full taxonomy consists of major categories (for e.g. retail, cars, etc.). Each category is stored as a separate taxonomy tree within the Taxonomy instance. Each node in a taxonomy tree is identified using a node_id. It has attributes: name (a human readable string), level (how far it is from the root node) and type (whether it is a root node, leaf node or body node). - - This microservice can help identify the types of concept that are frequently mentioned in an article. - - Do ensure that your text is within **5000 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - Categorise a particular word to pre-built taxonomy tree. - - - This microservice can be used to manage taxonomies, such as a hierarchy of product categories used for an eCommerce site. The information in a taxonomy is meta-information about the categories used to classify a set of things. For an eCommerce site, the set of things are items in the product catalog. Users can use this meta-information to enhance search. - version: '0.1.0' - x-subscribelink: taxonomy_matcher_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jan 24, 2020" -paths: - /microservices/nlp/taxonomy/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - bus: - - - - careers/job by industry/travel/bus - - 1 - - - - news/business news/travel/bus - - 1 - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - : - type: array - example: [["news/sport/swimming/bike",1]] - description: List of taxonomy for the requested object name - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 24, 2020 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: array - default: true - example: ["bus","cars","bike","train","buildings","Audi R8"] - description: |+ - A list of object names to be classified. Up to a maximum of 20 search terms can be processed each time. - - Supported formats: ASCII only - threshold: - x-name: threshold - type: integer - default: true - example: 1 - description: |+ - The "threshold" specifies the level of similarity that the search term must match with terms in the taxonomy tree. Values range between 0.0 and 1.0 .It is optional. The default value is 1 (which means an exact match is required). Lowering the threshold will allow matches that are similar but not identical. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Taxonomy Matcher ENG + description: |+ + This NLP microservice matches the input word with the name of a leaf nodes in the predefined English taxonomy. The entire branch from the matched leaf node to the root of the corresponding taxonomy tree is returned. + + The full taxonomy consists of major categories (for e.g. retail, cars, etc.). Each category is stored as a separate taxonomy tree within the Taxonomy instance. Each node in a taxonomy tree is identified using a node_id. It has attributes: name (a human readable string), level (how far it is from the root node) and type (whether it is a root node, leaf node or body node). + + This microservice can help identify the types of concept that are frequently mentioned in an article. + + Do ensure that your text is within **5000 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - Categorise a particular word to pre-built taxonomy tree. + + - This microservice can be used to manage taxonomies, such as a hierarchy of product categories used for an eCommerce site. The information in a taxonomy is meta-information about the categories used to classify a set of things. For an eCommerce site, the set of things are items in the product catalog. Users can use this meta-information to enhance search. + version: '0.1.0' + x-subscribelink: taxonomy_matcher_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Matches the input word with the name of a leaf node in the predefined English taxonomy. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 24, 2020" +paths: + /microservices/nlp/taxonomy/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + bus: + - + - careers/job by industry/travel/bus + - 1 + - + - news/business news/travel/bus + - 1 + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + : + type: array + example: [["news/sport/swimming/bike",1]] + description: List of taxonomy for the requested object name + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: array + default: true + example: ["bus","cars","bike","train","buildings","Audi R8"] + description: |+ + A list of object names to be classified. Up to a maximum of 20 search terms can be processed each time. + + Supported formats: ASCII only + threshold: + x-name: threshold + type: integer + default: true + example: 1 + description: |+ + The "threshold" specifies the level of similarity that the search term must match with terms in the taxonomy tree. Values range between 0.0 and 1.0 .It is optional. The default value is 1 (which means an exact match is required). Lowering the threshold will allow matches that are similar but not identical. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index d7916db03..6a40ad50b 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -1,266 +1,268 @@ - openapi: 3.0.1 - info: - title: Text Summarization - description: |+ - This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. - - The input text should be a minimum of 100 words and a maximum of 512 words. - - For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. - version: '0.2.0' - x-subscribelink: text_summarization - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 512 words. - servers: - - url: 'https://apis.sentient.io' - tags: - - name: "v0.2.0" - description: "Published Date - Aug 11, 2021" - paths: - /microservices/nlp/textsummarisation/v0/getpredictions: - post: - tags: - - v0.2.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"score": 2.14511174780278,"text": "50 per cent of residents have moved into their new homes in alkaff lakeview , singapore . this is despite bidadari 's past as a grave site , with some drawing similarities between the estate and the alks ."},"status": "Success"} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - score: - type: integer - example: 2.2100781633414535 - description: Confidence score - text: - type: string - example: more than 2,000 build-to-orders have been completed by the hdb in 2015. more than 70 per cent of residents have moved into their new homes in alk by 50 per cent in bidadari .y greenrise will be the last bto to be - description: Summarised text - - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 11, 2021 - x-details: Model Upgrade - description: Latest version - v0.1.2: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 07, 2021 - x-details: Deeper Postprocessing of Summarised text - description: Depreciating on Aug 10,2021 - v0.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - May 12, 2021 - x-details: Postprocessing of Summarised text - description: Depreciating on Jun 06,2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: "More than 2,000 Build-To-Order (BTO) Housing Board flats in Singapore's newest large estate, Bidadari, have been completed, with families progressively moving into their new homes.These flats are spread across three projects - Alkaff Vista, Alkaff LakeView and Alkaff CourtView - which were launched for sale by the HDB in 2015.More than 70 per cent of residents have moved into their new homes in Alkaff Vista and Alkaff LakeView, said the HDB in an update yesterday.About 50 per cent of residents have done the same at Alkaff CourtView, where works on community spaces are still in progress. All 12 public housing developments in Bidadari have been rolled out, with the final three projects - Bartley GreenRise, ParkEdge @ Bidadari and Alkaff Breeze - launched in this month's BTO sales exercise.Bartley GreenRise will be the last BTO site to be ready, and is estimated to be completed in the second quarter of 2025. The BTO flats in the 93ha Bidadari estate have been highly sought after by home seekers. The five-room flats typically drew more applicants than there were available units.This is despite Bidadari's past as a grave site, with some drawing similarities between the estate and the mature town of Bishan, which was also once a cemetery.Most of the units in Alkaff LakeView and Alkaff CourtView have been designed with structural columns tucked to the edges to allow residents greater flexibility in configuring their home layouts." - description: |+ - Input text - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + openapi: 3.0.1 + info: + title: Text Summarization + description: |+ + This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. + + The input text should be a minimum of 100 words and a maximum of 512 words. + + For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. + version: '0.2.0' + x-subscribelink: text_summarization + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 512 words/Call + x-inputfilelimit: |+ + Process up to 512 words per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed more than 512 words. + x-apidetailsdesc: |+ + Input text blurb and generates a summary of up to a maximum of 168 words. + servers: + - url: 'https://apis.sentient.io' + tags: + - name: "v0.2.0" + description: "Published Date - Aug 11, 2021" + paths: + /microservices/nlp/textsummarisation/v0/getpredictions: + post: + tags: + - v0.2.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message": "Successfully Processed","results": {"score": 2.14511174780278,"text": "50 per cent of residents have moved into their new homes in alkaff lakeview , singapore . this is despite bidadari 's past as a grave site , with some drawing similarities between the estate and the alks ."},"status": "Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + score: + type: integer + example: 2.2100781633414535 + description: Confidence score + text: + type: string + example: more than 2,000 build-to-orders have been completed by the hdb in 2015. more than 70 per cent of residents have moved into their new homes in alk by 50 per cent in bidadari .y greenrise will be the last bto to be + description: Summarised text + + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 11, 2021 + x-details: Model Upgrade + description: Latest version + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 07, 2021 + x-details: Deeper Postprocessing of Summarised text + description: Depreciating on Aug 10,2021 + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 12, 2021 + x-details: Postprocessing of Summarised text + description: Depreciating on Jun 06,2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: "More than 2,000 Build-To-Order (BTO) Housing Board flats in Singapore's newest large estate, Bidadari, have been completed, with families progressively moving into their new homes.These flats are spread across three projects - Alkaff Vista, Alkaff LakeView and Alkaff CourtView - which were launched for sale by the HDB in 2015.More than 70 per cent of residents have moved into their new homes in Alkaff Vista and Alkaff LakeView, said the HDB in an update yesterday.About 50 per cent of residents have done the same at Alkaff CourtView, where works on community spaces are still in progress. All 12 public housing developments in Bidadari have been rolled out, with the final three projects - Bartley GreenRise, ParkEdge @ Bidadari and Alkaff Breeze - launched in this month's BTO sales exercise.Bartley GreenRise will be the last BTO site to be ready, and is estimated to be completed in the second quarter of 2025. The BTO flats in the 93ha Bidadari estate have been highly sought after by home seekers. The five-room flats typically drew more applicants than there were available units.This is despite Bidadari's past as a grave site, with some drawing similarities between the estate and the mature town of Bishan, which was also once a cemetery.Most of the units in Alkaff LakeView and Alkaff CourtView have been designed with structural columns tucked to the edges to allow residents greater flexibility in configuring their home layouts." + description: |+ + Input text + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 21fb38a2f..b4f621753 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -1,514 +1,516 @@ -openapi: 3.0.1 -info: - title: Text Summarization (Large File) - description: |+ - This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. - The input text should be a minimum of 100 words and a maximum of 512 words. - For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. - version: '0.1.0' - x-subscribelink: text_summarization_large_file - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 0MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 512 words. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 11, 2021" -paths: - /async/microservices/nlp/textsummarisation/v0/getuploadurl: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - fields: - content-type: text/plain - key: 1/2/lp-textsummarisation/input/test_1991d4936ddb4728afaa06cb260b0253.txt - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request - x-goog-date: 20211123T105846Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '1' - x-goog-meta-uid: '2' - x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 - x-goog-signature: >- - 3d882f0762743e39146aae926435bf0b15e844836db9a0913fddfc04e786b939a8f3d1bcf187883c3c1dec913d1aa8eca4e8e08d7a8fcdf138bfac621f28ed9ef30c842b6a7ad9c7b7fa8a0ee60d4f1b05f7a0322a5bb404d7ce69410a494b1a5848d49ac96cd59c538dc522b21e579979b5d53b9d413e766662f65596ca22bde2f625d349392c04e13ce27d98e0d73a229f50dfc5fdb18873218f97eac6e83a8d088c6c66e49d120d21757d04ab5763565da5594eeafd31d5cc1e68f0f5933f8b2f517db16fa962be6f9c59fc5564fc909fe226c14dddbfdfd1bfc46aa21b72aec3db576b34e73cfb7acfdbca8d5cb14da998fe5c0b7f050c3656bb1d6d6052 - jid: 1991d4936ddb4728afaa06cb260b0253 - request_cost: 0 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - /upload: - post: - servers: - - url: 'https://storage.googleapis.com/user_space_dev/' - description: Override base path for the GET /ping operation - tags: - - v0.1.0 - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/uploadinput' - required: true - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - /async/microservices/nlp/textsummarisation/v0/getstatus: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: jid - schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 - status: Processing - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated - message: - type: string - example: File Processing Successfully Started - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Processing - description: Detail description on the API status - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - fields: - type: object - example: { "" } - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 23, 2021 - x-details: Initial version release - description: Archived - input: - type: object - required: - - file_name - properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size - file_name: - x-name: file_name - type: string - default: true - format: binary - example: 'test.txt' - description: |+ - File name - content_type: - x-name: content_type - type: string - default: true - example: 'text/plain' - description: |+ - Content type - additional_param: - x-name: additional_param - type: object - properties: - password: - x-name: password - type: string - default: false - example: 123 - description: |+ - If password required for PDF. - uploadinput: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: sample.wav - description: file - content-type: - type: string - default: false - example: application/pdf - description: Fields - key: - type: string - default: false - example: 1/2/lp-textsummarisation/input/Pdf_6mb_cf3d329bd9df4cef91966c336386eea3.pdf - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: {\"password\": \"fffff\"} - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 1 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 2 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 - description: Fields - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Text Summarization (Large File) + description: |+ + This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. + The input text should be a minimum of 100 words and a maximum of 512 words. + For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. + version: '0.1.0' + x-subscribelink: text_summarization_large_file + x-apitype: small file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Input text blurb and generates a summary for larger files. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 11, 2021" +paths: + /async/microservices/nlp/textsummarisation/v0/getuploadurl: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: text/plain + key: 1/2/lp-textsummarisation/input/test_1991d4936ddb4728afaa06cb260b0253.txt + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request + x-goog-date: 20211123T105846Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '1' + x-goog-meta-uid: '2' + x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 + x-goog-signature: >- + 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 + jid: 1991d4936ddb4728afaa06cb260b0253 + request_cost: 0 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/nlp/textsummarisation/v0/getstatus: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 23, 2021 + x-details: Initial version release + description: Archived + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: |+ + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: 'test.txt' + description: |+ + File name + content_type: + x-name: content_type + type: string + default: true + example: 'text/plain' + description: |+ + Content type + additional_param: + x-name: additional_param + type: object + properties: + password: + x-name: password + type: string + default: false + example: 123 + description: |+ + If password required for PDF. + uploadinput: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: application/pdf + description: Fields + key: + type: string + default: false + example: 1/2/lp-textsummarisation/input/Pdf_6mb_cf3d329bd9df4cef91966c336386eea3.pdf + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: {\"password\": \"fffff\"} + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 1 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 2 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/word_scoring_and_suggestions.yaml b/nlp/word_scoring_and_suggestions.yaml index 518e2d63e..7e7d8557c 100644 --- a/nlp/word_scoring_and_suggestions.yaml +++ b/nlp/word_scoring_and_suggestions.yaml @@ -1,279 +1,281 @@ - -openapi: 3.0.1 -info: - title: Word Scoring and Suggestions - description: |+ - This NLP microservice computes the probability of each word in a sentence and generates suggested words. The input is a single sentence. - version: v0.1.0 - x-subscribelink: word_scoring_and_suggestions - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 12, 2021" -paths: - /microservices/nlp/word_scoring/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - result: - - conf: 0.012762350961565971 - suggestions: - where: 0.7936621904373169 - who: 0.14036813378334045 - word: how - - conf: 0.024699058383703232 - suggestions: - can: 0.10830813646316528 - could: 0.7056182026863098 - word: are - - conf: 0.0003625013923738152 - suggestions: - .: 0.029543984681367874 - '?': 0.9645142555236816 - word: you - text: how are you - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - result: - description: Array of dictionaries, each dictionary containing a word from the input text and its probability - example: - conf: 0.1 - word: how - items: - oneOf: - - properties: - conf: - description: The probability of the word in the input text - example: 0.1 - type: float - word: - description: The word in the input text - example: how - type: string - suggestions: - description: The dictionary of suggested words - example: {"where": 0.7936621904373169,"who": 0.14036813378334045} - type: object - type: object - type: array - text: - description: Input text - example: how are you - type: string - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 12, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - text - properties: - text: - x-name: text - type: string - default: True - example: how are you - description: |+ - Input text - - suggestions: - x-name: suggestions - type: number - default: False - example: 2 - description: |+ - Number of suggested words to be provided by the model.Default value is 2 - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Word Scoring and Suggestions + description: |+ + This NLP microservice computes the probability of each word in a sentence and generates suggested words. The input is a single sentence. + version: v0.1.0 + x-subscribelink: word_scoring_and_suggestions + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 50 words/Call + x-inputfilelimit: |+ + Process up to 50 words per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 50 words and input might be single sentence. + x-apidetailsdesc: |+ + Computes the probability of each word in a sentence and generates suggested words. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 12, 2021" +paths: + /microservices/nlp/word_scoring/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + result: + - conf: 0.012762350961565971 + suggestions: + where: 0.7936621904373169 + who: 0.14036813378334045 + word: how + - conf: 0.024699058383703232 + suggestions: + can: 0.10830813646316528 + could: 0.7056182026863098 + word: are + - conf: 0.0003625013923738152 + suggestions: + .: 0.029543984681367874 + '?': 0.9645142555236816 + word: you + text: how are you + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + result: + description: Array of dictionaries, each dictionary containing a word from the input text and its probability + example: + conf: 0.1 + word: how + items: + oneOf: + - properties: + conf: + description: The probability of the word in the input text + example: 0.1 + type: float + word: + description: The word in the input text + example: how + type: string + suggestions: + description: The dictionary of suggested words + example: {"where": 0.7936621904373169,"who": 0.14036813378334045} + type: object + type: object + type: array + text: + description: Input text + example: how are you + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 12, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - text + properties: + text: + x-name: text + type: string + default: True + example: how are you + description: |+ + Input text + + suggestions: + x-name: suggestions + type: number + default: False + example: 2 + description: |+ + Number of suggested words to be provided by the model.Default value is 2 + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/word_sense_disambiguation_eng.yaml b/nlp/word_sense_disambiguation_eng.yaml index 34ada2c4f..f8e180e55 100644 --- a/nlp/word_sense_disambiguation_eng.yaml +++ b/nlp/word_sense_disambiguation_eng.yaml @@ -1,339 +1,341 @@ -openapi: 3.0.1 -info: - title: Word Sense Disambiguation ENG - description: |+ - This NLP microservice takes in a text and a target word and identifies the target word's hypernym. Hypernym refers to the specific meaning of the word within the context of the sentence. For example, colour is a hypernym of red. - - If the word is determined to be a noun within the sentence context, the microservice returns the potential hypernym, definition, and score. Otherwise, no result will be returned for that context. - - Do ensure that your text is **within 5000 characters**. - version: '1.0.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Information Retrieval - this microservice can be used to build a system that assists users in finding the information they required but it does not explicitly return the answers of the questions. - - Text Mining and Information Extraction - this microservice can be used to do accurate analysis of text. For example it can help to create an intelligent gathering system to do flagging of the correct words e.g. medical intelligent system might need flagging of “red balloon” rather than “led balloon”. - x-subscribelink: word_sense_disambiguation_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5MB/Call - x-inputfilelimit: |+ - Process up to 5000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Oct 30, 2020" -paths: - /microservices/nlp/wordsensedisambiguation/v1/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - sentence_index: - '4': 'But our genius for creative storytelling , combined with our inability to - detect our own ignorance , can sometimes lead to situations that are embarrassing - , unfortunate , or downright dangerous – especially in a technologically advanced - , complex democratic societythat occasionally invests mistaken popular beliefs - with immense destructive power ( See : crisis , financial ; war , Iraq ) .' - tokens: - '4': - society: - - token_index: 40 - synset_name: society.n.01 - synset_definition: an extended social group having a distinctive cultural and - economic organization - synset_score: 0.9870249032974243 - hypernyms: - - hypernym_name: social_group.n.01 - hypernym_definition: people sharing some social relation - potential_candidate_score: 1 - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - sentence_index: - type: object - example: {"4": "But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power ( See : crisis , financial ; war , Iraq ) .","7": "The society of extraordinary gentlemen has a natural way of overcoming difficulties in tough times to come out stronger , saving society from itself ."} - description: Is a mapping from an index of the sentence in the presented text (say, 0, 1, 2...) to the text of the sentence itself. - properties: - 4: - type: string - example: { 4:But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power} - description: mapping value - tokens: - type: object - example: {"4": {"society": [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}]}} - description: Is a mapping from the sentence_index to the target word's potential synsets and hypernms. - properties: - 4: - type: object - example: {"society": [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}]} - description: Mapping value - properties: - : - type: array - example: [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}] - description: Details about the target word given as input - items: - properties: - hypernyms: - type: array - example: [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}] - description: A hypernym can be thought of as a parent class. For example, "colour" is a hypernym of "red". - items: - properties: - hypernym_definition: - type: string - example: people sharing some social relation - description: Definition of the hypernym - hypernym_name: - type: string - example: social_group.n.01 - description: Describes the category in which the target word belongs to. Eg:car is a transport. car is the target word and transport is the category(hypernym) - potential_candidate_score: - type: integer - example: 1 - description: Is the confidence score from the network - synset_definition: - type: string - example: An extended social group having a distinctive cultural and economic organization - description: A synset is a collection of synonyms, identified using the WordNet synset name. It connects a word to the synset it belongs via a definition. A word can belong to more than one synset. Basically definition of the target_word - synset_name: - type: string - example: society.n.01 - description: The target word name in wordnet library - synset_score: - type: float - format : float - example: 0.9870249032974243 - description: Is the confidence score from the network - token_index: - type: integer - example: 40 - description: Is the target word position in the sentence - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: An estimated 180,000 people were under mandatory evacuation orders, including parts of Santa Rosa and a large swath of Sonoma County all the way to the Pacific Ocean. - description: |+ - Input text. A complete sentence or paragraph - target_word: - x-name: target_word - type: string - default: true - example: County - description: |+ - A noun token that can be found in text - repeat: - x-name: repeat - type: string - default: true - example: "True" - description: |+ - Indicates whether the target_word that was first identified in the input text is to be used alone or all the target_words identified in the text are to be used. - If False, then it uses the first target_word alone in text and ignores the rest. - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 06, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Word Sense Disambiguation ENG + description: |+ + This NLP microservice takes in a text and a target word and identifies the target word's hypernym. Hypernym refers to the specific meaning of the word within the context of the sentence. For example, colour is a hypernym of red. + + If the word is determined to be a noun within the sentence context, the microservice returns the potential hypernym, definition, and score. Otherwise, no result will be returned for that context. + + Do ensure that your text is **within 5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Information Retrieval - this microservice can be used to build a system that assists users in finding the information they required but it does not explicitly return the answers of the questions. + - Text Mining and Information Extraction - this microservice can be used to do accurate analysis of text. For example it can help to create an intelligent gathering system to do flagging of the correct words e.g. medical intelligent system might need flagging of “red balloon” rather than “led balloon”. + x-subscribelink: word_sense_disambiguation_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Target word and identifies the target word's hypernym for text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" +paths: + /microservices/nlp/wordsensedisambiguation/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + sentence_index: + '4': 'But our genius for creative storytelling , combined with our inability to + detect our own ignorance , can sometimes lead to situations that are embarrassing + , unfortunate , or downright dangerous – especially in a technologically advanced + , complex democratic societythat occasionally invests mistaken popular beliefs + with immense destructive power ( See : crisis , financial ; war , Iraq ) .' + tokens: + '4': + society: + - token_index: 40 + synset_name: society.n.01 + synset_definition: an extended social group having a distinctive cultural and + economic organization + synset_score: 0.9870249032974243 + hypernyms: + - hypernym_name: social_group.n.01 + hypernym_definition: people sharing some social relation + potential_candidate_score: 1 + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + sentence_index: + type: object + example: {"4": "But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power ( See : crisis , financial ; war , Iraq ) .","7": "The society of extraordinary gentlemen has a natural way of overcoming difficulties in tough times to come out stronger , saving society from itself ."} + description: Is a mapping from an index of the sentence in the presented text (say, 0, 1, 2...) to the text of the sentence itself. + properties: + 4: + type: string + example: { 4:But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power} + description: mapping value + tokens: + type: object + example: {"4": {"society": [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}]}} + description: Is a mapping from the sentence_index to the target word's potential synsets and hypernms. + properties: + 4: + type: object + example: {"society": [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}]} + description: Mapping value + properties: + : + type: array + example: [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}] + description: Details about the target word given as input + items: + properties: + hypernyms: + type: array + example: [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}] + description: A hypernym can be thought of as a parent class. For example, "colour" is a hypernym of "red". + items: + properties: + hypernym_definition: + type: string + example: people sharing some social relation + description: Definition of the hypernym + hypernym_name: + type: string + example: social_group.n.01 + description: Describes the category in which the target word belongs to. Eg:car is a transport. car is the target word and transport is the category(hypernym) + potential_candidate_score: + type: integer + example: 1 + description: Is the confidence score from the network + synset_definition: + type: string + example: An extended social group having a distinctive cultural and economic organization + description: A synset is a collection of synonyms, identified using the WordNet synset name. It connects a word to the synset it belongs via a definition. A word can belong to more than one synset. Basically definition of the target_word + synset_name: + type: string + example: society.n.01 + description: The target word name in wordnet library + synset_score: + type: float + format : float + example: 0.9870249032974243 + description: Is the confidence score from the network + token_index: + type: integer + example: 40 + description: Is the target word position in the sentence + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: An estimated 180,000 people were under mandatory evacuation orders, including parts of Santa Rosa and a large swath of Sonoma County all the way to the Pacific Ocean. + description: |+ + Input text. A complete sentence or paragraph + target_word: + x-name: target_word + type: string + default: true + example: County + description: |+ + A noun token that can be found in text + repeat: + x-name: repeat + type: string + default: true + example: "True" + description: |+ + Indicates whether the target_word that was first identified in the input text is to be used alone or all the target_words identified in the text are to be used. + If False, then it uses the first target_word alone in text and ignores the rest. + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 06, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/word_sense_disambiguation_eng_v0.1.yaml b/nlp/word_sense_disambiguation_eng_v0.1.yaml index 5d8a1a467..17501161a 100644 --- a/nlp/word_sense_disambiguation_eng_v0.1.yaml +++ b/nlp/word_sense_disambiguation_eng_v0.1.yaml @@ -1,323 +1,325 @@ -openapi: 3.0.1 -info: - title: Word Sense Disambiguation ENG - description: |+ - This NLP microservice takes in a text and a target word and identifies the target word's hypernym. Hypernym refers to the specific meaning of the word within the context of the sentence. For example, colour is a hypernym of red. - - If the word is determined to be a noun within the sentence context, the microservice returns the potential hypernym, definition, and score. Otherwise, no result will be returned for that context. - x-additionalinfo: |+ - Suggested Use Cases: - - Information Retrieval - this microservice can be used to build a system that assists users in finding the information they required but it does not explicitly return the answers of the questions. - - - Text Mining and Information Extraction - this microservice can be used to do accurate analysis of text. For example it can help to create an intelligent gathering system to do flagging of the correct words e.g. medical intelligent system might need flagging of “red balloon” rather than “led balloon”. - version: '0.1.0' - x-subscribelink: word_sense_disambiguation_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 5000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Mar 06, 2020" -paths: - /microservices/nlp/wordsensedisambiguation/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - sentence_index: - '4': 'But our genius for creative storytelling , combined with our inability to - detect our own ignorance , can sometimes lead to situations that are embarrassing - , unfortunate , or downright dangerous – especially in a technologically advanced - , complex democratic societythat occasionally invests mistaken popular beliefs - with immense destructive power ( See : crisis , financial ; war , Iraq ) .' - tokens: - '4': - society: - - token_index: 40 - synset_name: society.n.01 - synset_definition: an extended social group having a distinctive cultural and - economic organization - synset_score: 0.9870249032974243 - hypernyms: - - hypernym_name: social_group.n.01 - hypernym_definition: people sharing some social relation - potential_candidate_score: 1 - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - sentence_index: - type: object - example: {"4": "But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power ( See : crisis , financial ; war , Iraq ) .","7": "The society of extraordinary gentlemen has a natural way of overcoming difficulties in tough times to come out stronger , saving society from itself ."} - description: Is a mapping from an index of the sentence in the presented text (say, 0, 1, 2...) to the text of the sentence itself. - properties: - 4: - type: string - example: { 4:But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power} - description: mapping value - tokens: - type: object - example: {"4": {"society": [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}]}} - description: Is a mapping from the sentence_index to the target word's potential synsets and hypernms. - properties: - 4: - type: object - example: {"society": [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}]} - description: Mapping value - properties: - : - type: array - example: [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}] - description: Details about the target word given as input - items: - properties: - hypernyms: - type: array - example: [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}] - description: A hypernym can be thought of as a parent class. For example, "colour" is a hypernym of "red". - items: - properties: - hypernym_definition: - type: string - example: people sharing some social relation - description: Definition of the hypernym - hypernym_name: - type: string - example: social_group.n.01 - description: Describes the category in which the target word belongs to. Eg:car is a transport. car is the target word and transport is the category(hypernym) - potential_candidate_score: - type: integer - example: 1 - description: Is the confidence score from the network - synset_definition: - type: string - example: An extended social group having a distinctive cultural and economic organization - description: A synset is a collection of synonyms, identified using the WordNet synset name. It connects a word to the synset it belongs via a definition. A word can belong to more than one synset. Basically definition of the target_word - synset_name: - type: string - example: society.n.01 - description: The target word name in wordnet library - synset_score: - type: float - example: 0.9870249032974243 - description: Is the confidence score from the network - token_index: - type: integer - example: 40 - description: Is the target word position in the sentence - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: An estimated 180,000 people were under mandatory evacuation orders, including parts of Santa Rosa and a large swath of Sonoma County all the way to the Pacific Ocean. - description: |+ - Input text can be a complete sentence or paragraph. - - Supported formats: ASCII only - target_word: - x-name: target_word - type: string - default: true - example: County - description: |+ - A noun token that can be found in text - repeat: - x-name: repeat - type: string - default: true - example: "True" - description: |+ - Indicates whether the target_word that was first identified in the input text is to be used alone or all the target_words identified in the text are to be used. - If False, then it uses the first target_word alone in text and ignores the rest. - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 06, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Word Sense Disambiguation ENG + description: |+ + This NLP microservice takes in a text and a target word and identifies the target word's hypernym. Hypernym refers to the specific meaning of the word within the context of the sentence. For example, colour is a hypernym of red. + + If the word is determined to be a noun within the sentence context, the microservice returns the potential hypernym, definition, and score. Otherwise, no result will be returned for that context. + x-additionalinfo: |+ + Suggested Use Cases: + - Information Retrieval - this microservice can be used to build a system that assists users in finding the information they required but it does not explicitly return the answers of the questions. + + - Text Mining and Information Extraction - this microservice can be used to do accurate analysis of text. For example it can help to create an intelligent gathering system to do flagging of the correct words e.g. medical intelligent system might need flagging of “red balloon” rather than “led balloon”. + version: '0.1.0' + x-subscribelink: word_sense_disambiguation_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Target word and identifies the target word's hypernym for text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 06, 2020" +paths: + /microservices/nlp/wordsensedisambiguation/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + sentence_index: + '4': 'But our genius for creative storytelling , combined with our inability to + detect our own ignorance , can sometimes lead to situations that are embarrassing + , unfortunate , or downright dangerous – especially in a technologically advanced + , complex democratic societythat occasionally invests mistaken popular beliefs + with immense destructive power ( See : crisis , financial ; war , Iraq ) .' + tokens: + '4': + society: + - token_index: 40 + synset_name: society.n.01 + synset_definition: an extended social group having a distinctive cultural and + economic organization + synset_score: 0.9870249032974243 + hypernyms: + - hypernym_name: social_group.n.01 + hypernym_definition: people sharing some social relation + potential_candidate_score: 1 + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + sentence_index: + type: object + example: {"4": "But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power ( See : crisis , financial ; war , Iraq ) .","7": "The society of extraordinary gentlemen has a natural way of overcoming difficulties in tough times to come out stronger , saving society from itself ."} + description: Is a mapping from an index of the sentence in the presented text (say, 0, 1, 2...) to the text of the sentence itself. + properties: + 4: + type: string + example: { 4:But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power} + description: mapping value + tokens: + type: object + example: {"4": {"society": [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}]}} + description: Is a mapping from the sentence_index to the target word's potential synsets and hypernms. + properties: + 4: + type: object + example: {"society": [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}]} + description: Mapping value + properties: + : + type: array + example: [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}] + description: Details about the target word given as input + items: + properties: + hypernyms: + type: array + example: [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}] + description: A hypernym can be thought of as a parent class. For example, "colour" is a hypernym of "red". + items: + properties: + hypernym_definition: + type: string + example: people sharing some social relation + description: Definition of the hypernym + hypernym_name: + type: string + example: social_group.n.01 + description: Describes the category in which the target word belongs to. Eg:car is a transport. car is the target word and transport is the category(hypernym) + potential_candidate_score: + type: integer + example: 1 + description: Is the confidence score from the network + synset_definition: + type: string + example: An extended social group having a distinctive cultural and economic organization + description: A synset is a collection of synonyms, identified using the WordNet synset name. It connects a word to the synset it belongs via a definition. A word can belong to more than one synset. Basically definition of the target_word + synset_name: + type: string + example: society.n.01 + description: The target word name in wordnet library + synset_score: + type: float + example: 0.9870249032974243 + description: Is the confidence score from the network + token_index: + type: integer + example: 40 + description: Is the target word position in the sentence + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: An estimated 180,000 people were under mandatory evacuation orders, including parts of Santa Rosa and a large swath of Sonoma County all the way to the Pacific Ocean. + description: |+ + Input text can be a complete sentence or paragraph. + + Supported formats: ASCII only + target_word: + x-name: target_word + type: string + default: true + example: County + description: |+ + A noun token that can be found in text + repeat: + x-name: repeat + type: string + default: true + example: "True" + description: |+ + Indicates whether the target_word that was first identified in the input text is to be used alone or all the target_words identified in the text are to be used. + If False, then it uses the first target_word alone in text and ignores the rest. + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 06, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index 367c275e3..f1ef62ba4 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -1,265 +1,267 @@ -openapi: 3.0.1 -info: - title: Audio Format Convertor - description: >- - This Utility microservice converts the audio format to the WAV format. - The encoding scheme, bitrate, sample rate of the output WAV are to be specified. - The size of your audio file should **not exceed 10 MB**. - x-additionalinfo: |+ - Suggested Use Cases: - - Build services related to sound engineering or audio editing as WAV is the format of choice for video and audio editors. WAV files are lossless compared to the lossy MP3 file format, meaning that WAV audio is a high-quality uncompressed file that is excellent for studio recordings and audio mastering. - version: '0.1.0' - x-subscribelink: audio_format_convertor - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - File size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Mar 24, 2020" -paths: - /microservices/utility/audioprocessing/v0.1/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - AudioContent: actual base64 string of input wav - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: string - example: - AudioContent: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................. - description: Audio wav file convert to base64 encode string - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: sample.wav - description: Maximum file size up to 10 MB. - samplerate: - type: string - default: false - example: '16000' - description: Sample rate of the audio file in Hz - channel: - type: string - default: false - example: '1' - description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) - bitrate: - type: string - default: false - example: '2' - description: Indicates the bit resolution. Value must be 2 as (16 bit) - normalize: - type: string - default: false - example: no - description: A boolean value that indicates whether to normalize the audio or not. Values must be either “yes” or “no” - trim_start_time: - type: string - default: false - example: '1' - description: Indicates the start in seconds between which the audio is extracted - trim_stop_time: - type: string - default: false - example: '5' - description: Indicates the end time in seconds between which the audio is extracted - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Audio Format Convertor + description: >- + This Utility microservice converts the audio format to the WAV format. + The encoding scheme, bitrate, sample rate of the output WAV are to be specified. + The size of your audio file should **not exceed 10 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Build services related to sound engineering or audio editing as WAV is the format of choice for video and audio editors. WAV files are lossless compared to the lossy MP3 file format, meaning that WAV audio is a high-quality uncompressed file that is excellent for studio recordings and audio mastering. + version: '0.1.0' + x-subscribelink: audio_format_convertor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Converts any audio format to wav file. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 24, 2020" +paths: + /microservices/utility/audioprocessing/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + AudioContent: actual base64 string of input wav + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: string + example: + AudioContent: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................. + description: Audio wav file convert to base64 encode string + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + samplerate: + type: string + default: false + example: '16000' + description: Sample rate of the audio file in Hz + channel: + type: string + default: false + example: '1' + description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) + bitrate: + type: string + default: false + example: '2' + description: Indicates the bit resolution. Value must be 2 as (16 bit) + normalize: + type: string + default: false + example: no + description: A boolean value that indicates whether to normalize the audio or not. Values must be either “yes” or “no” + trim_start_time: + type: string + default: false + example: '1' + description: Indicates the start in seconds between which the audio is extracted + trim_stop_time: + type: string + default: false + example: '5' + description: Indicates the end time in seconds between which the audio is extracted + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index 93ea8bbd4..8da41971b 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -1,232 +1,234 @@ -openapi: 3.0.1 -info: - title: Base64 Decoder - description: |+ - This Utility microservice converts a Base64 encoded text string to a binary file.

For the reverse process (convert binary file to Base64 encoded text string), check out the Base64 File Encode microservice. - x-additionalinfo: |+ - Suggested Use Cases: - - As a post-processor for microservices that only outputs Base64 encoded text - version: '0.0.1' - x-subscribelink: base64_decoder - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.0.1" - description: "Published Date - Oct 30, 2020" -paths: - /microservices/utility/base64decode/v0/getresults: - post: - tags: - - "0.0.1" - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - url: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fa... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '422': - description: Invalid Input - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the api status - status: - type: string - example: Success - description: The status of the API call success/failure - url: - type: string - example: https://storage.googleapis.com/base64decode/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fauto%2Fstora... - description: Pre-signed URL to download the file - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v0.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30,2020 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - base64 - properties: - base64: - x-name: base64 - type: string - default: true - example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAA... - description: |+ - Input a base64 encoded string. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Base64 Decoder + description: |+ + This Utility microservice converts a Base64 encoded text string to a binary file.

For the reverse process (convert binary file to Base64 encoded text string), check out the Base64 File Encode microservice. + x-additionalinfo: |+ + Suggested Use Cases: + - As a post-processor for microservices that only outputs Base64 encoded text + version: '0.0.1' + x-subscribelink: base64_decoder + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Convert Base64 encoded text string to binary file. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.0.1" + description: "Published Date - Oct 30, 2020" +paths: + /microservices/utility/base64decode/v0/getresults: + post: + tags: + - "0.0.1" + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + url: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fa... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '422': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the api status + status: + type: string + example: Success + description: The status of the API call success/failure + url: + type: string + example: https://storage.googleapis.com/base64decode/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fauto%2Fstora... + description: Pre-signed URL to download the file + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30,2020 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - base64 + properties: + base64: + x-name: base64 + type: string + default: true + example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAA... + description: |+ + Input a base64 encoded string. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index 35bee4c2d..4796c9858 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -1,249 +1,251 @@ -openapi: 3.0.1 -info: - title: Base64 Encoder - description: |+ - This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive and font files. See documentation for the detailed list of supported file formats.

User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML).

For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decode microservice. - x-additionalinfo: |+ - Suggested Use Cases: - - As a pre-processor for microservices that only takes in Base64 inputs - version: '0.0.1' - x-subscribelink: base64_encoder - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.0.1" - description: "Published Date - Oct 30, 2020" -paths: - /microservices/utility/base64encode/v0/getresults: - post: - tags: - - v0.0.1 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - base64: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '422': - description: Invalid Input - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - description: Input parameters

FieldType Description
filePathFileRequired. The file object
typeStringOptional. type of return data as xml/hyperlink/json/datauri/plaintext. plaintext is default if none selected


- content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - # required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - base64: - type: string - description: Base64 encoded text converted to the requested output format. - example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - example: sample.txt - default: true - description: The file object. - format: - type: string - example: "xml" - default: false - description: |+ - The output format. Possible values are: - 1. plaintext (default) - 2. json - 3. hyperlink - 4. datauri - 5. xml - versions: - type: object - properties: - v0.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Base64 Encoder + description: |+ + This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive and font files. See documentation for the detailed list of supported file formats.

User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML).

For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decode microservice. + x-additionalinfo: |+ + Suggested Use Cases: + - As a pre-processor for microservices that only takes in Base64 inputs + version: '0.0.1' + x-subscribelink: base64_encoder + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Convert binary file to Base64 encoded text string. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.0.1" + description: "Published Date - Oct 30, 2020" +paths: + /microservices/utility/base64encode/v0/getresults: + post: + tags: + - v0.0.1 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + base64: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '422': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + description: Input parameters

FieldType Description
filePathFileRequired. The file object
typeStringOptional. type of return data as xml/hyperlink/json/datauri/plaintext. plaintext is default if none selected


+ content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + # required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + base64: + type: string + description: Base64 encoded text converted to the requested output format. + example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + example: sample.txt + default: true + description: The file object. + format: + type: string + example: "xml" + default: false + description: |+ + The output format. Possible values are: + 1. plaintext (default) + 2. json + 3. hyperlink + 4. datauri + 5. xml + versions: + type: object + properties: + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index e72c0d6ec..9df8b4235 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -1,244 +1,246 @@ -openapi: 3.0.1 -info: - title: CSV-JSON Convertor - description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - - The size of your file should **not exceed 3.5 MB**. - x-additionalinfo: |+ - Suggested Use Cases: - - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '1.0.0' - x-subscribelink: csv-json_convertor - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 3.5MB/Call - x-inputfilelimit: |+ - Process up to 3500 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - File size cannot exceed 3.5 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 15, 2020" -paths: - /microservices/utility/csvtojson/v1.0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Converted and stored in Google Cloud Storage - results: - jsondata: [] - url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - description: Successfully Converted and stored in Google Cloud Storage - example: Successfully Converted and stored in Google Cloud Storage - results: - type: object - example: { "" } - description: List of items - properties: - jsondata: - type: string - example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] - description: converted json object - url: - type: string - description: converted json object - example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - status: - type: string - example: Success - description: The status of the API call. success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15, 2020 - x-details: Initial version release - description: Latest Version - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - csvfile - properties: - csvfile: - type: string - format: binary - default: true - example: sample.csv - description: The file object. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: CSV-JSON Convertor + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '1.0.0' + x-subscribelink: csv-json_convertor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 15, 2020" +paths: + /microservices/utility/csvtojson/v1.0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Latest Version + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 9c952769e..f5382cc1f 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -1,329 +1,331 @@ -openapi: 3.0.1 -info: - title: Date Resolution - description: |+ - This Utility microservice generates a date based on the input string. - version: 'v0.2.0' - x-subscribelink: date_resolution - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.2.0" - description: "Published Date - Jul 8, 2021" -paths: - /microservices/utility/dateresolution/v0/getresults: - post: - tags: - - v0.2.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - date: - - '2021-06-07' - - '2021-06-08' - - '2021-06-09' - - '2021-06-10' - - '2021-06-11' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Response message - results: - type: object - example: {} - description: Json Object of returned results - properties: - date: - type: array - example: ["2021-06-07","2021-06-08","2021-06-09","2021-06-10","2021-06-11"] - description: Generated Date in the format YYYY-MM-DD based on input. - items: - oneOf: - - type: string - example: 2021-06-07 - - type: string - example: 2021-06-08 - - type: string - example: 2021-06-09 - - type: string - example: 2021-06-10 - - type: string - example: 2021-06-11 - status: - type: string - example: Success - description: |+ - The status of the API call. - - Success - If Successfully processed with result - - Failure - If text not match with predifined functions and date parser then empty result failure message with 'No result matches try with different phase' - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 08, 2021 - x-details: Additional output date format options - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 7, 2021 - x-details: Initial version release - description: Archived - input: - type: object - properties: - text: - type: string - default: true - example: next monday - description: |+ - Date related string are : - - - today - It will return today date - - tomorrow - It will return tomorrow date - - yesterday - It will return yesterday date - - next day - It will return tomorrow date - - next weekdays - It will return next 5 weekdays date in the list - - next weekend - It will return next weekends(saturday and sunday) date in the list - - last weekend - It will return previous weekends(saturday and sunday) date in the list - - this weekend - It will return current weekends(saturday and sunday) date in the list - - next (x)day - It will return next weekday date (for eg: next monday) - - last (x)day - It will return last weekday date (for eg: last tuesday) - - next x days - It will return next x days date (for eg: next 5 days) - - last x days - It will return last x days date (for eg: last 5 days) - - first weekday of the month - It will return first weekday of the month date - - first weekend of the month - It will return first weekend of the month (saturday and sunday) date - - last weekend of the month - It will return last weekend of the month (saturday and sunday) date - - last weekday of the month - It will return last weekday of the month date - - every x hours for x occurrence - It will return x hours for x occurence with UTC time zone (for eg: every 1 hour for 10 occurrence, every 15 minutes for 10 occurrence) - - X days from today - It will return x days from today date (for eg: 10 days from today) - - X days later - It will return x days from today date (for eg: 10 days from today) - - next month from today - It will return next month from today date - - same time next week - It will return next week date with this time from today with UTC time zone - - same day next week - It will return next week date from today - - this time tomorrow - It will return tomorrow date and time with UTC time zone - - (x)day after next - It will return 2 weeks after date (for eg: tuesday after next) - - (x)day - It will return current week date - - this (x)day - It will return current week date - - current (x)day - It will return current week date - output_format: - type: string - example: date-only - description: |+ - Optional. The output date format. This is the default format 2021-06-14 00:00:00 UTC. Other options are: - - - date-only - Output value as date only. For eg: "2021-06-14" - - with-day - Output value as date with day. For eg: "Monday, 2021-06-14 00:00:00 UTC" - - custom user format can be set using the following format list. For eg input: "%A, %d. %B %Y %I:%M%p", return as "Monday, 28. June 2021 12:00AM" - custom date format list are: - - %a - Weekday as locale’s abbreviated name - for eg: Mon - - %A - Weekday as locale’s full name - for eg: Monday - - %w - Weekday as a decimal number, where 0 is Sunday and 6 is Saturday - for eg: 1 - - %d - Day of the month as a zero-padded decimal number - for eg: 30 - - %-d - Day of the month as a decimal number - for eg: 30 - - %b - Month as locale’s abbreviated name - for eg: Sep - - %B - Month as locale’s full name - for eg: September - - %m - Month as a zero-padded decimal number - for eg: 09 - - %-m - Month as a decimal number - for eg: 9 - - %y - Year without century as a zero-padded decimal number - for eg: 13 - - %Y - Year with century as a decimal number - 2021 - - %H - Hour (24-hour clock) as a zero-padded decimal number - for eg: 07 - - %-H - Hour (24-hour clock) as a decimal number - for eg: 7 - - %I - Hour (12-hour clock) as a zero-padded decimal number - for eg: 07 - - %p - Locale’s equivalent of either AM or PM - for eg: AM - - %M - Minute as a zero-padded decimal number - foe eg: 06 - - %-M - Minute as a decimal number - for eg: 6 - - %S - Second as a zero-padded decimal number - for eg: 05 - - %-S - Second as a decimal number - for eg: 5 - - %f - Microsecond as a decimal number, zero-padded on the left - for eg: 000000 - - %z - UTC offset in the form +HHMM or -HHMM - for eg: HHMM - - %Z - Time zone name - for eg: UTC - - %j - Day of the year as a zero-padded decimal number - for eg: 273 - - %-j - Day of the year as a decimal number - for eg: 273 - - %U - Week number of the year (Sunday as the first day of the week) as a zero padded decimal number. All days in a new year preceding the first Sunday are considered to be in week 0 - for eg: 39 - - %W - Week number of the year (Monday as the first day of the week) as a decimal number. All days in a new year preceding the first Monday are considered to be in week 0 - for eg: 39 - - %c - Locale’s appropriate date and time representation - for eg: Mon Sep 30 07:06:05 2021 - - %x - Locale’s appropriate date representation - for eg: 09/30/21 - - %X - Locale’s appropriate time representation - for eg: 07:06:05 - - %% - A literal '%' character - for eg: % - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Date Resolution + description: |+ + This Utility microservice generates a date based on the input string. + version: 'v0.2.0' + x-subscribelink: date_resolution + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | Single Date String /Call + x-inputfilelimit: |+ + Process Single Date String per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Single Date String. + x-apidetailsdesc: |+ + Generate Date from String. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.2.0" + description: "Published Date - Jul 8, 2021" +paths: + /microservices/utility/dateresolution/v0/getresults: + post: + tags: + - v0.2.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + date: + - '2021-06-07' + - '2021-06-08' + - '2021-06-09' + - '2021-06-10' + - '2021-06-11' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Response message + results: + type: object + example: {} + description: Json Object of returned results + properties: + date: + type: array + example: ["2021-06-07","2021-06-08","2021-06-09","2021-06-10","2021-06-11"] + description: Generated Date in the format YYYY-MM-DD based on input. + items: + oneOf: + - type: string + example: 2021-06-07 + - type: string + example: 2021-06-08 + - type: string + example: 2021-06-09 + - type: string + example: 2021-06-10 + - type: string + example: 2021-06-11 + status: + type: string + example: Success + description: |+ + The status of the API call. + - Success - If Successfully processed with result + - Failure - If text not match with predifined functions and date parser then empty result failure message with 'No result matches try with different phase' + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 08, 2021 + x-details: Additional output date format options + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 7, 2021 + x-details: Initial version release + description: Archived + input: + type: object + properties: + text: + type: string + default: true + example: next monday + description: |+ + Date related string are : + + - today - It will return today date + - tomorrow - It will return tomorrow date + - yesterday - It will return yesterday date + - next day - It will return tomorrow date + - next weekdays - It will return next 5 weekdays date in the list + - next weekend - It will return next weekends(saturday and sunday) date in the list + - last weekend - It will return previous weekends(saturday and sunday) date in the list + - this weekend - It will return current weekends(saturday and sunday) date in the list + - next (x)day - It will return next weekday date (for eg: next monday) + - last (x)day - It will return last weekday date (for eg: last tuesday) + - next x days - It will return next x days date (for eg: next 5 days) + - last x days - It will return last x days date (for eg: last 5 days) + - first weekday of the month - It will return first weekday of the month date + - first weekend of the month - It will return first weekend of the month (saturday and sunday) date + - last weekend of the month - It will return last weekend of the month (saturday and sunday) date + - last weekday of the month - It will return last weekday of the month date + - every x hours for x occurrence - It will return x hours for x occurence with UTC time zone (for eg: every 1 hour for 10 occurrence, every 15 minutes for 10 occurrence) + - X days from today - It will return x days from today date (for eg: 10 days from today) + - X days later - It will return x days from today date (for eg: 10 days from today) + - next month from today - It will return next month from today date + - same time next week - It will return next week date with this time from today with UTC time zone + - same day next week - It will return next week date from today + - this time tomorrow - It will return tomorrow date and time with UTC time zone + - (x)day after next - It will return 2 weeks after date (for eg: tuesday after next) + - (x)day - It will return current week date + - this (x)day - It will return current week date + - current (x)day - It will return current week date + output_format: + type: string + example: date-only + description: |+ + Optional. The output date format. This is the default format 2021-06-14 00:00:00 UTC. Other options are: + + - date-only - Output value as date only. For eg: "2021-06-14" + - with-day - Output value as date with day. For eg: "Monday, 2021-06-14 00:00:00 UTC" + - custom user format can be set using the following format list. For eg input: "%A, %d. %B %Y %I:%M%p", return as "Monday, 28. June 2021 12:00AM" + custom date format list are: + - %a - Weekday as locale’s abbreviated name - for eg: Mon + - %A - Weekday as locale’s full name - for eg: Monday + - %w - Weekday as a decimal number, where 0 is Sunday and 6 is Saturday - for eg: 1 + - %d - Day of the month as a zero-padded decimal number - for eg: 30 + - %-d - Day of the month as a decimal number - for eg: 30 + - %b - Month as locale’s abbreviated name - for eg: Sep + - %B - Month as locale’s full name - for eg: September + - %m - Month as a zero-padded decimal number - for eg: 09 + - %-m - Month as a decimal number - for eg: 9 + - %y - Year without century as a zero-padded decimal number - for eg: 13 + - %Y - Year with century as a decimal number - 2021 + - %H - Hour (24-hour clock) as a zero-padded decimal number - for eg: 07 + - %-H - Hour (24-hour clock) as a decimal number - for eg: 7 + - %I - Hour (12-hour clock) as a zero-padded decimal number - for eg: 07 + - %p - Locale’s equivalent of either AM or PM - for eg: AM + - %M - Minute as a zero-padded decimal number - foe eg: 06 + - %-M - Minute as a decimal number - for eg: 6 + - %S - Second as a zero-padded decimal number - for eg: 05 + - %-S - Second as a decimal number - for eg: 5 + - %f - Microsecond as a decimal number, zero-padded on the left - for eg: 000000 + - %z - UTC offset in the form +HHMM or -HHMM - for eg: HHMM + - %Z - Time zone name - for eg: UTC + - %j - Day of the year as a zero-padded decimal number - for eg: 273 + - %-j - Day of the year as a decimal number - for eg: 273 + - %U - Week number of the year (Sunday as the first day of the week) as a zero padded decimal number. All days in a new year preceding the first Sunday are considered to be in week 0 - for eg: 39 + - %W - Week number of the year (Monday as the first day of the week) as a decimal number. All days in a new year preceding the first Monday are considered to be in week 0 - for eg: 39 + - %c - Locale’s appropriate date and time representation - for eg: Mon Sep 30 07:06:05 2021 + - %x - Locale’s appropriate date representation - for eg: 09/30/21 + - %X - Locale’s appropriate time representation - for eg: 07:06:05 + - %% - A literal '%' character - for eg: % + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index 21a382e43..ece810057 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -1,237 +1,239 @@ -openapi: 3.0.1 -info: - title: Decryption using PKI Key - description: |+ - This Utility microservice decrypts the input text using the input key string. - - This can be used with the PKI Key Generator microservice. - - Do ensure that your text is **within 512 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. - version: '0.1.0' - x-subscribelink: decryption_using_pki_key - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 512 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 30, 2019" -paths: - /microservices/utility/rsadecode/v0.1/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - status: Success - result: hello - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detailed description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - result: - type: string - example: hello - description: Original text - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 30, 2019 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - encodeText: - type: string - default: true - example: 4bafe80478a11553a69... - description: Encrypted text - key: - type: string - default: true - example: MIIEowIBAAKCAQ... - description: Private key - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Decryption using PKI Key + description: |+ + This Utility microservice decrypts the input text using the input key string. + + This can be used with the PKI Key Generator microservice. + + Do ensure that your text is **within 512 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. + version: '0.1.0' + x-subscribelink: decryption_using_pki_key + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 512 characters/Call + x-inputfilelimit: |+ + Process up to 512 characters of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Size cannot exceed more than 512 characters. + x-apidetailsdesc: |+ + Decrypt encoded string to text by private key. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 30, 2019" +paths: + /microservices/utility/rsadecode/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + result: hello + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detailed description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + result: + type: string + example: hello + description: Original text + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 30, 2019 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + encodeText: + type: string + default: true + example: 4bafe80478a11553a69... + description: Encrypted text + key: + type: string + default: true + example: MIIEowIBAAKCAQ... + description: Private key + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml index 20a5130a9..7d0397221 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng.yaml @@ -1,248 +1,250 @@ -openapi: 3.0.1 -info: - title: Document Convertor ENG - description: |+ - This Utility microservice extracts the English text content of either an input of Microsoft Word, HTML or PDF document and outputs into a plain text format. - - The size of your document file should **not exceed 7 MB**. - x-additionalinfo: |+ - Suggested Use Cases: - - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the document can be used with a Voice microservice such as Text-to-Speech. - - - Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. - version: '1.0.0' - x-subscribelink: document_convertor_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 7MB/Call - x-inputfilelimit: |+ - Process up to 7000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - File size cannot exceed 7 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Jul 30, 2020" -paths: - /microservices/utility/docconversion/v1.0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: "\\n L 328/84 \\n Official Journal of the European Union \\n EN \\n - 18.12.2019 \\n DECISIONS \\n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \\n - of 16 December 2019 \\n amending Implementing Decision 2014/908/EU as regards the - inclusion of Serbia and South Korea in \\n the lists of third countries and - \ territories whose supervisory and regulatory requirements" - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' -components: - schemas: - success: - type: object - properties: - results: - type: string - example: \n L 328/84 \n Official Journal of the European Union \n EN \n 18.12.2019 \n DECISIONS \n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \n of 16 December 2019 \n amending Implementing Decision 2014/908/EU as regards the inclusion of Serbia and South Korea in \n the lists of third countries and territories whose supervisory and regulatory requirements - description: The result of the API call. - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2020 - x-details: Change libary for PDF reader - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 16, 2018 - x-details: Initial version release - description: Archived - input: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: sample.txt - description: The file object. - - Supported formats: docx, pdf, txt. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Document Convertor ENG + description: |+ + This Utility microservice extracts the English text content of either an input of Microsoft Word, HTML or PDF document and outputs into a plain text format. + + The size of your document file should **not exceed 7 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the document can be used with a Voice microservice such as Text-to-Speech. + + - Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. + version: '1.0.0' + x-subscribelink: document_convertor_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 7MB/Call + x-inputfilelimit: |+ + Process up to 7 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 7 MB. + x-apidetailsdesc: |+ + Extracts text content from docx/text/pdf docs. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Jul 30, 2020" +paths: + /microservices/utility/docconversion/v1.0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: "\\n L 328/84 \\n Official Journal of the European Union \\n EN \\n + 18.12.2019 \\n DECISIONS \\n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \\n + of 16 December 2019 \\n amending Implementing Decision 2014/908/EU as regards the + inclusion of Serbia and South Korea in \\n the lists of third countries and + \ territories whose supervisory and regulatory requirements" + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' +components: + schemas: + success: + type: object + properties: + results: + type: string + example: \n L 328/84 \n Official Journal of the European Union \n EN \n 18.12.2019 \n DECISIONS \n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \n of 16 December 2019 \n amending Implementing Decision 2014/908/EU as regards the inclusion of Serbia and South Korea in \n the lists of third countries and territories whose supervisory and regulatory requirements + description: The result of the API call. + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Change libary for PDF reader + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 16, 2018 + x-details: Initial version release + description: Archived + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.txt + description: The file object. + + Supported formats: docx, pdf, txt. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key.yaml index 4c5bc2136..89acf2a7d 100644 --- a/utility/encryption_using_pki_key.yaml +++ b/utility/encryption_using_pki_key.yaml @@ -1,237 +1,239 @@ -openapi: 3.0.1 -info: - title: Encryption using PKI Key - description: |+ - This Utility microservice encrypts the input text using the input key string. - - This can be used with the PKI Key Generator microservice. - - Do ensure that your text is **within 512 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. - version: '0.1.0' - x-subscribelink: encryption_using_pki_key - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 512 charcaters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 30, 2019" -paths: - /microservices/utility/rsaencode/v0.1/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - status: Success - result: nXqbfpv8gK3wZqLjohfy2NCdBJSXQ/NyHec52SFcQiePxl/iVB9wwThAc1U3mBRSM2/YysQodsd89DVuQx3aNNV4/BmYmC53yeWIwfpHZv8DOWSY4dremBDFa6vaFLF89ed0RSkgl7+cut4g0bkXuMODMyEfBerqnrsvQlqHbVY= - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detailed description on the API status - status: - type: string - example: Success - description: The status of the API call. - result: - type: string - description: Encrypted text - example: nXqbfpv8gK3wZqLjohfy2NCdBJSXQ/NyHec52SFcQiePxl/iVB9wwThAc1U3mBRSM2/YysQodsd89DVuQx3aNNV4/BmYmC53yeWIwfpHZv8DOWSY4dremBDFa6vaFLF89ed0RSkgl7+cut4g0bkXuMODMyEfBerqnrsvQlqHbVY= - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: - text: - type: string - default: true - example: plain text - description: Input text - key: - type: string - default: true - example: MIIBIjANBgkqhkiG9w0BAQEF... - description: Public key - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 30, 2019 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Encryption using PKI Key + description: |+ + This Utility microservice encrypts the input text using the input key string. + + This can be used with the PKI Key Generator microservice. + + Do ensure that your text is **within 512 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. + version: '0.1.0' + x-subscribelink: encryption_using_pki_key + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 512 characters/Call + x-inputfilelimit: |+ + Process up to 512 characters of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Size cannot exceed more than 512 characters. + x-apidetailsdesc: |+ + Encrypt text to encoded string by public key. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 30, 2019" +paths: + /microservices/utility/rsaencode/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + result: nXqbfpv8gK3wZqLjohfy2NCdBJSXQ/NyHec52SFcQiePxl/iVB9wwThAc1U3mBRSM2/YysQodsd89DVuQx3aNNV4/BmYmC53yeWIwfpHZv8DOWSY4dremBDFa6vaFLF89ed0RSkgl7+cut4g0bkXuMODMyEfBerqnrsvQlqHbVY= + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detailed description on the API status + status: + type: string + example: Success + description: The status of the API call. + result: + type: string + description: Encrypted text + example: nXqbfpv8gK3wZqLjohfy2NCdBJSXQ/NyHec52SFcQiePxl/iVB9wwThAc1U3mBRSM2/YysQodsd89DVuQx3aNNV4/BmYmC53yeWIwfpHZv8DOWSY4dremBDFa6vaFLF89ed0RSkgl7+cut4g0bkXuMODMyEfBerqnrsvQlqHbVY= + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + text: + type: string + default: true + example: plain text + description: Input text + key: + type: string + default: true + example: MIIBIjANBgkqhkiG9w0BAQEF... + description: Public key + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 30, 2019 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index 793da3c2f..48309ab4d 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -1,170 +1,172 @@ -openapi: 3.0.1 -info: - title: Get IP - x-subscribelink: get_ip - description: |+ - This Utility microservice locates and identifies website visitors by IP (Internet Protocol) address. Know where your customers access your website from and customize user experiences based on IP address. - - x-additionalinfo : |+ - Suggested Use Cases: - - Use this microservice to get public IP of user. - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Apr 07, 2021" -paths: - /microservices/utility/getip/v0/getresults: - get: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: '123.123.123.123' - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Response message - results: - type: string - example: '123.123.123.123' - description: User IP - status: - type: string - example: Success - description: API success call. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: Get IP + x-subscribelink: get_ip + description: |+ + This Utility microservice locates and identifies website visitors by IP (Internet Protocol) address. Know where your customers access your website from and customize user experiences based on IP address. + + x-additionalinfo : |+ + Suggested Use Cases: + - Use this microservice to get public IP of user. + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One IP /Call + x-inputfilelimit: |+ + Process up to One IP per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + The API is billed by per request. + x-apidetailsdesc: |+ + Locates and Identifies website visitors by IP +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Apr 07, 2021" +paths: + /microservices/utility/getip/v0/getresults: + get: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: '123.123.123.123' + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Response message + results: + type: string + example: '123.123.123.123' + description: User IP + status: + type: string + example: Success + description: API success call. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index 3096472a7..1384d1912 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -1,245 +1,247 @@ -openapi: 3.0.1 -info: - title: JSON-CSV Convertor - description: |+ - This Utility microservice converts the input JSON (json string or json file) to CSV format. - x-additionalinfo: |+ - Suggested Use Cases: - - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of JSON into CSV spreadsheets like Google Sheets or Excel to analyze data without programming. - version: '1.0.0' - x-subscribelink: json-csv_convertor - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - File size cannot exceed 1 GB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 15, 2020" -paths: - /microservices/utility/jsontocsv/v1.0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - url: https://storage.googleapis.com/json_csv_stroage/data_file.csv?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20200514%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200514T062642Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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" - status: Success - message: Successfully Converted and stored in Google Cloud Storage - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - multipart/form-data: - schema: - $ref: '#/components/schemas/input1' -components: - schemas: - success: - type: object - properties: - results: - type: object - example: [{key:value}] - description: list of json objects - properties: - url: - type: string - description: Pre-signed URL to download the csvfile - example: https://storage.googleapis.com/json_csv_stroage/data_file.csv?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20200514%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200514T062642Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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" - status: - type: string - example: Success - description: The status of the API call success/failure - message: - type: string - example: Successfully Converted and stored in Google Cloud Storage - description: Detail description on the API status - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input1: - type: object - properties: - jsonfile: - type: object - example: [{key:value}] - default: true - description: List of json objects - input: - type: object - properties: - jsonfile: - type: string - format: binary - example: [{key:value}] - default: true - description: List of json objects - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15, 2020 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: JSON-CSV Convertor + description: |+ + This Utility microservice converts the input JSON (json string or json file) to CSV format. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of JSON into CSV spreadsheets like Google Sheets or Excel to analyze data without programming. + version: '1.0.0' + x-subscribelink: json-csv_convertor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts Json file to CVS file. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - May 15, 2020" +paths: + /microservices/utility/jsontocsv/v1.0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + url: https://storage.googleapis.com/json_csv_stroage/data_file.csv?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20200514%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200514T062642Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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" + status: Success + message: Successfully Converted and stored in Google Cloud Storage + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + multipart/form-data: + schema: + $ref: '#/components/schemas/input1' +components: + schemas: + success: + type: object + properties: + results: + type: object + example: [{key:value}] + description: list of json objects + properties: + url: + type: string + description: Pre-signed URL to download the csvfile + example: https://storage.googleapis.com/json_csv_stroage/data_file.csv?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20200514%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200514T062642Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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" + status: + type: string + example: Success + description: The status of the API call success/failure + message: + type: string + example: Successfully Converted and stored in Google Cloud Storage + description: Detail description on the API status + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input1: + type: object + properties: + jsonfile: + type: object + example: [{key:value}] + default: true + description: List of json objects + input: + type: object + properties: + jsonfile: + type: string + format: binary + example: [{key:value}] + default: true + description: List of json objects + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/newspaper_article_scraper.yaml b/utility/newspaper_article_scraper.yaml index ab1104075..32d6c356a 100644 --- a/utility/newspaper_article_scraper.yaml +++ b/utility/newspaper_article_scraper.yaml @@ -1,337 +1,339 @@ -openapi: 3.0.1 -info: - title: Newspaper Article Scraper - description: |+ - This Utility microservice extracts and curates articles and delivers Instapaper-style article extraction. - - Current supported languages: Arabic, Russian, Dutch, German, English, Spanish, French, Hebrew, Italian, Korean, Norwegian, Persian, Polish, Portuguese, Swedish, Hungarian, Finnish, Danish, Chinese, Indonesian, Vietnamese, Swahili, Turkish, Greek, Ukrainian. Supports automatic language detection. - - Note that the URL has to be **spelt in full**, including "https://www." - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used in services related to the creation of a real-time web application that gathers data from several newspapers and shows a summary of the different topics that are being discussed in the news articles. - version: '0.1.0' - x-subscribelink: newspaper_article_scraper - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - File size cannot exceed 1 GB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 07, 2020" -paths: - /microservices/utility/newsarticle/v0.1/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - content: - all_images: - - https://static.bangkokpost.com/media/content/20170620/2363063.jpg - - https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg - - https://static.bangkokpost.com/media/content/20170620/2364459.jpg - - https://static.bangkokpost.com/media/content/20170620/2363071.jpg - - https://static.bangkokpost.com/media/content/20170620/2364455.jpg - - https://static.bangkokpost.com/media/content/20170620/2363075.jpg - authors: - - Bangkok Post Public Company Limited - keywords: - - scholarships - - opportunities - - fair - - study - - learning - - worlds - language: en - link: https://www.bangkokpost.com/learning/news/1272315/study-and-work-in-australia-%E2%80%93-many-opportunities-ahead- - publish_date: 2020-09-30T07:11:15 - summary: |- - Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. - Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. - Study, Work and Live in one of the World's most liveable countries. - "Post Study Work Rights and Pathways to Australian Permanent - text: |- - Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. Especially, engineers, IT specialists and accountants, and many more, are on the list of occupations which Australia is demanding. - - Study, Work and Live in one of the World's most liveable countries. - - Don't miss the chance to interview directly with 40 leading universities and institutions from across Australia. Application fee waivers and scholarships are also available. - - Unique! "Post Study Work Rights and Pathways to Australian Permanent Resident" seminar by Dr. Visa, Australian Registered Migration Agent, and special talks by Andrew Biggs, - title: Study and Work in Australia - top_image: https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg - video: - - https://www.youtube.com/embed/8I9uQVHluBk - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - content: - type: object - example: {} - description: The result of the API call - properties: - all_images: - type: array - items: - type: string - example: - - https://static.bangkokpost.com/media/content/20170620/2363063.jpg - - https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg - - https://static.bangkokpost.com/media/content/20170620/2364459.jpg - - https://static.bangkokpost.com/media/content/20170620/2363071.jpg - - https://static.bangkokpost.com/media/content/20170620/2364455.jpg - - https://static.bangkokpost.com/media/content/20170620/2363075.jpg - description: All images of new article. - authors: - type: array - items: - type: string - example: - - Bangkok Post Public Company Limited - description: Authors of new article. - keywords: - type: array - items: - type: string - example: - - scholarships - - opportunities - - fair - - study - - learning - - worlds - description: NLP processed keywords from news article. - language: - type: string - example: "en" - description: Language of news article. - link: - type: string - example: "https://www.bangkokpost.com/learning/news/1272315/study-and-work-in-australia-%E2%80%93-many-opportunities-ahead-" - description: Main article link url. - publish_date: - type: string - example: 2020-09-30T07:11:15 - description: Published date of news article. - summary: - type: string - example: "Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given.\nMoreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia.\nStudy, Work and Live in one of the World's most liveable countries.\n\"Post Study Work Rights and Pathways to Australian Permanent" - description: Main content of news article. - text: - type: string - example: "Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. Especially, engineers, IT specialists and accountants, and many more, are on the list of occupations which Australia is demanding.\n\nStudy, Work and Live in one of the World's most liveable countries.\n\nDon't miss the chance to interview directly with 40 leading universities and institutions from across Australia. Application fee waivers and scholarships are also available.\n\nUnique! \"Post Study Work Rights and Pathways to Australian Permanent Resident\" seminar by Dr. Visa, Australian Registered Migration Agent, and special talks by Andrew Biggs," - description: Full text content of news article. - title: - type: string - example: "Study and Work in Australia" - description: Title of news article. - top_image: - type: string - example: "https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg" - description: Published image of news article. - video: - type: array - items: - type: string - example: - - https://www.youtube.com/embed/8I9uQVHluBk - description: All video clips related to news article if available. - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 07, 2020 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - url - properties: - url: - type: string - example: https://www.bangkokpost.com/ - default: true - description: The absolute input url, i.e exact, full address (URL) to the page. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Newspaper Article Scraper + description: |+ + This Utility microservice extracts and curates articles and delivers Instapaper-style article extraction. + + Current supported languages: Arabic, Russian, Dutch, German, English, Spanish, French, Hebrew, Italian, Korean, Norwegian, Persian, Polish, Portuguese, Swedish, Hungarian, Finnish, Danish, Chinese, Indonesian, Vietnamese, Swahili, Turkish, Greek, Ukrainian. Supports automatic language detection. + + Note that the URL has to be **spelt in full**, including "https://www." + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used in services related to the creation of a real-time web application that gathers data from several newspapers and shows a summary of the different topics that are being discussed in the news articles. + version: '0.1.0' + x-subscribelink: newspaper_article_scraper + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One News URL /Call + x-inputfilelimit: |+ + Process One News URL per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Allows One news URL per request. + x-apidetailsdesc: |+ + Extracts and Curates articles from news URL. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 07, 2020" +paths: + /microservices/utility/newsarticle/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + content: + all_images: + - https://static.bangkokpost.com/media/content/20170620/2363063.jpg + - https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg + - https://static.bangkokpost.com/media/content/20170620/2364459.jpg + - https://static.bangkokpost.com/media/content/20170620/2363071.jpg + - https://static.bangkokpost.com/media/content/20170620/2364455.jpg + - https://static.bangkokpost.com/media/content/20170620/2363075.jpg + authors: + - Bangkok Post Public Company Limited + keywords: + - scholarships + - opportunities + - fair + - study + - learning + - worlds + language: en + link: https://www.bangkokpost.com/learning/news/1272315/study-and-work-in-australia-%E2%80%93-many-opportunities-ahead- + publish_date: 2020-09-30T07:11:15 + summary: |- + Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. + Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. + Study, Work and Live in one of the World's most liveable countries. + "Post Study Work Rights and Pathways to Australian Permanent + text: |- + Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. Especially, engineers, IT specialists and accountants, and many more, are on the list of occupations which Australia is demanding. + + Study, Work and Live in one of the World's most liveable countries. + + Don't miss the chance to interview directly with 40 leading universities and institutions from across Australia. Application fee waivers and scholarships are also available. + + Unique! "Post Study Work Rights and Pathways to Australian Permanent Resident" seminar by Dr. Visa, Australian Registered Migration Agent, and special talks by Andrew Biggs, + title: Study and Work in Australia + top_image: https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg + video: + - https://www.youtube.com/embed/8I9uQVHluBk + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + content: + type: object + example: {} + description: The result of the API call + properties: + all_images: + type: array + items: + type: string + example: + - https://static.bangkokpost.com/media/content/20170620/2363063.jpg + - https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg + - https://static.bangkokpost.com/media/content/20170620/2364459.jpg + - https://static.bangkokpost.com/media/content/20170620/2363071.jpg + - https://static.bangkokpost.com/media/content/20170620/2364455.jpg + - https://static.bangkokpost.com/media/content/20170620/2363075.jpg + description: All images of new article. + authors: + type: array + items: + type: string + example: + - Bangkok Post Public Company Limited + description: Authors of new article. + keywords: + type: array + items: + type: string + example: + - scholarships + - opportunities + - fair + - study + - learning + - worlds + description: NLP processed keywords from news article. + language: + type: string + example: "en" + description: Language of news article. + link: + type: string + example: "https://www.bangkokpost.com/learning/news/1272315/study-and-work-in-australia-%E2%80%93-many-opportunities-ahead-" + description: Main article link url. + publish_date: + type: string + example: 2020-09-30T07:11:15 + description: Published date of news article. + summary: + type: string + example: "Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given.\nMoreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia.\nStudy, Work and Live in one of the World's most liveable countries.\n\"Post Study Work Rights and Pathways to Australian Permanent" + description: Main content of news article. + text: + type: string + example: "Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. Especially, engineers, IT specialists and accountants, and many more, are on the list of occupations which Australia is demanding.\n\nStudy, Work and Live in one of the World's most liveable countries.\n\nDon't miss the chance to interview directly with 40 leading universities and institutions from across Australia. Application fee waivers and scholarships are also available.\n\nUnique! \"Post Study Work Rights and Pathways to Australian Permanent Resident\" seminar by Dr. Visa, Australian Registered Migration Agent, and special talks by Andrew Biggs," + description: Full text content of news article. + title: + type: string + example: "Study and Work in Australia" + description: Title of news article. + top_image: + type: string + example: "https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg" + description: Published image of news article. + video: + type: array + items: + type: string + example: + - https://www.youtube.com/embed/8I9uQVHluBk + description: All video clips related to news article if available. + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 07, 2020 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - url + properties: + url: + type: string + example: https://www.bangkokpost.com/ + default: true + description: The absolute input url, i.e exact, full address (URL) to the page. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index d22f108c2..1e7003717 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -1,279 +1,281 @@ -openapi: 3.0.1 -info: - title: PDF Extractor - description: |+ - This Utility microservice extracts the text content of the input PDF document with the option to extract specific pages. - - It also extracts from password-protected PDFs, if the correct password is provided. - - Output format supported: plain text or HTML. - - Supported languages: Hindi, German, Spanish, Portuguese, French, Turkish, Italian, Russian, Arabic, Indonesian, Chinese, Japanese and Korean. - - The size of your PDF file should **not exceed 7 MB**. - x-additionalinfo: |+ - Suggested Use Cases: - - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the PDF document can be used with a Voice microservice such as Text-to-Speech. - - - Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. - version: '1.0.0' - x-subscribelink: pdf_extractor - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 7MB/Call - x-inputfilelimit: |+ - Process up to 7000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - File size cannot exceed 7 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Jul 30, 2020" -paths: - /microservices/utility/pdfextractor/v1.0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: "\\n L 328/84 \\n Official Journal of the European Union \\n EN \\n - 18.12.2019 \\n DECISIONS \\n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \\n - of 16 December 2019 \\n amending Implementing Decision 2014/908/EU as regards the - inclusion of Serbia and South Korea in \\n the lists of third countries and - \ territories whose supervisory and regulatory requirements" - message: Successfully Processed - status: Success - extracted_details: "[1, 3] pages are Extracted...." - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' -components: - schemas: - success: - type: object - properties: - results: - type: string - example: \n L 328/84 \n Official Journal of the European Union \n EN \n 18.12.2019 \n DECISIONS \n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \n of 16 December 2019 \n amending Implementing Decision 2014/908/EU as regards the inclusion of Serbia and South Korea in \n the lists of third countries and territories whose supervisory and regulatory requirements - description: The result of the API call. - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - extracted_details: - type: string - example: "[1, 3] pages are Extracted...." - description: Extracted page and file details - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2020 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: sample.pdf - description: Text-only PDF files are supported. Image or mixed PDF files are not recommended. - pageNumbers: - type: string - default: false - example: "1,3,6" - description: Page numbers, example 1,3,6. Default all pages - maxPages: - type: integer - default: false - example: "3" - description: Maximum of page number. Default all pages - startPage: - type: integer - default: false - example: "1" - description: Starting page number, if used endPage parameter is mandatory - endPage: - type: integer - default: false - example: "5" - description: End of page number, if used startPage parameter is mandatory - convertType: - type: string - default: false - example: "txt" - description: Convertion type (txt / html). Default type is txt - passWord: - type: string - default: false - example: "xxxxxxxx" - description: Password for protected pdf - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: PDF Extractor + description: |+ + This Utility microservice extracts the text content of the input PDF document with the option to extract specific pages. + + It also extracts from password-protected PDFs, if the correct password is provided. + + Output format supported: plain text or HTML. + + Supported languages: Hindi, German, Spanish, Portuguese, French, Turkish, Italian, Russian, Arabic, Indonesian, Chinese, Japanese and Korean. + + The size of your PDF file should **not exceed 7 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the PDF document can be used with a Voice microservice such as Text-to-Speech. + + - Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. + version: '1.0.0' + x-subscribelink: pdf_extractor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 7MB/Call + x-inputfilelimit: |+ + Process up to 7 MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 7 MB. + x-apidetailsdesc: |+ + Extracts text content from pdf docs. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Jul 30, 2020" +paths: + /microservices/utility/pdfextractor/v1.0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: "\\n L 328/84 \\n Official Journal of the European Union \\n EN \\n + 18.12.2019 \\n DECISIONS \\n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \\n + of 16 December 2019 \\n amending Implementing Decision 2014/908/EU as regards the + inclusion of Serbia and South Korea in \\n the lists of third countries and + \ territories whose supervisory and regulatory requirements" + message: Successfully Processed + status: Success + extracted_details: "[1, 3] pages are Extracted...." + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' +components: + schemas: + success: + type: object + properties: + results: + type: string + example: \n L 328/84 \n Official Journal of the European Union \n EN \n 18.12.2019 \n DECISIONS \n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \n of 16 December 2019 \n amending Implementing Decision 2014/908/EU as regards the inclusion of Serbia and South Korea in \n the lists of third countries and territories whose supervisory and regulatory requirements + description: The result of the API call. + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + extracted_details: + type: string + example: "[1, 3] pages are Extracted...." + description: Extracted page and file details + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.pdf + description: Text-only PDF files are supported. Image or mixed PDF files are not recommended. + pageNumbers: + type: string + default: false + example: "1,3,6" + description: Page numbers, example 1,3,6. Default all pages + maxPages: + type: integer + default: false + example: "3" + description: Maximum of page number. Default all pages + startPage: + type: integer + default: false + example: "1" + description: Starting page number, if used endPage parameter is mandatory + endPage: + type: integer + default: false + example: "5" + description: End of page number, if used startPage parameter is mandatory + convertType: + type: string + default: false + example: "txt" + description: Convertion type (txt / html). Default type is txt + passWord: + type: string + default: false + example: "xxxxxxxx" + description: Password for protected pdf + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 52ce57287..909788108 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -1,228 +1,230 @@ -openapi: 3.0.1 -info: - title: PKI Key Generator - description: |+ - This Utility microservice generates a Public and Private key pair, and is useful for encryption purposes. - x-additionalinfo: |+ - Suggested Use Cases: - - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. - version: '0.1.0' - x-subscribelink: pki_key_generator - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 30, 2019" -paths: - /microservices/utility/rsagetkeys/v0.1/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - keyLength: 1024 - publicKey: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... - privateKey: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - keyLength: - type: integer - example: 1024 - description: byte value of generated key - publicKey: - type: string - example: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... - description: generated public key for encoding the text - privateKey: - type: string - example: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... - description: private key to decoding. this private key should decode when the text encoded by the public key which generate with this only. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 30, 2019 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - bitcode: - type: string - example: 1 - default: true - description: bitcode to generate the key by byte-length. Maximum up to 5. Empty string and above 5 should be consider as 1. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: PKI Key Generator + description: |+ + This Utility microservice generates a Public and Private key pair, and is useful for encryption purposes. + x-additionalinfo: |+ + Suggested Use Cases: + - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. + version: '0.1.0' + x-subscribelink: pki_key_generator + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | one byte length/Call + x-inputfilelimit: |+ + Process one byte length per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Byte length might be string + x-apidetailsdesc: |+ + Generates a Public and Private key pair based on byte-length [1 to 5] +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 30, 2019" +paths: + /microservices/utility/rsagetkeys/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + keyLength: 1024 + publicKey: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... + privateKey: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + keyLength: + type: integer + example: 1024 + description: byte value of generated key + publicKey: + type: string + example: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... + description: generated public key for encoding the text + privateKey: + type: string + example: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... + description: private key to decoding. this private key should decode when the text encoded by the public key which generate with this only. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 30, 2019 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + bitcode: + type: string + example: 1 + default: true + description: bitcode to generate the key by byte-length. Maximum up to 5. Empty string and above 5 should be consider as 1. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/urls_retrieval.yaml b/utility/urls_retrieval.yaml index 0d2b9e50c..6157b3ee0 100644 --- a/utility/urls_retrieval.yaml +++ b/utility/urls_retrieval.yaml @@ -1,285 +1,287 @@ -openapi: 3.0.1 -info: - title: URLs Retrieval - description: |+ - This Utility microservice crawls and retrieves content from the input URLs, up to the specified depth. - - Default depth is 0 and maximum number of URLs is 500. - x-additionalinfo: |+ - Suggested Use Cases: - - Use this microservice to update web content or indices of other sites' web content. - version: '0.2.1' - x-subscribelink: urls_retrieval - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Limit cannot exceed more than 500 URLs. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.2.1" - description: "Published Date - Dec 04, 2020" -paths: - /microservices/utility/crawlurls/v0/getresults: - post: - tags: - - v0.2.1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - urls: - - https://www.sentient.io/ja/ - - https://www.sentient.io/ja/ai-data - - https://www.sentient.io/ja/ai-colab - - https://www.sentient.io/ja/data-alliance - - https://www.sentient.io/ja/team - - https://www.sentient.io/ja/contact - - https://www.sentient.io/ja - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Response message - results: - type: object - example: {} - description: Json Object of returned results - properties: - urls: - type: array - example: [https://www.sentient.io/ja/,https://www.sentient.io/ja/ai-data] - description: Scrapped urls from the webpage. - items: - oneOf: - - type: string - example: https://www.sentient.io/ja/ - - type: string - example: https://www.sentient.io/ja/ai-data - - type: string - example: https://www.sentient.io/ja/ai-colab - - type: string - example: https://www.sentient.io/ja/data-alliance - - type: string - example: https://www.sentient.io/ja/team - - type: string - example: https://www.sentient.io/ja/contact - - type: string - example: https://www.sentient.io/ja - status: - type: string - example: Success - description: API success call. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.2.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 04, 2020 - x-details: Patch Update - description: Latest Version - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Partial URL support - description: Depreciating on Dec 03, 2020 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 1, 2020 - x-details: Initial version release - description: Archived - input: - type: object - properties: - url: - type: string - default: true - example: https://www.sentient.io/ja/ - description: url - depth: - type: integer - example: "2" - default: false - description: Default is 0. - numberofurls: - type: integer - example: "10" - default: false - description: Default value is 100. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: URLs Retrieval + description: |+ + This Utility microservice crawls and retrieves content from the input URLs, up to the specified depth. + + Default depth is 0 and maximum number of URLs is 500. + x-additionalinfo: |+ + Suggested Use Cases: + - Use this microservice to update web content or indices of other sites' web content. + version: '0.2.1' + x-subscribelink: urls_retrieval + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 500 URL /Call + x-inputfilelimit: |+ + Process 500 URL per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Allows 500 URL per request. + x-apidetailsdesc: |+ + Crawls and Retrieves content from the input URLs +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.2.1" + description: "Published Date - Dec 04, 2020" +paths: + /microservices/utility/crawlurls/v0/getresults: + post: + tags: + - v0.2.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + urls: + - https://www.sentient.io/ja/ + - https://www.sentient.io/ja/ai-data + - https://www.sentient.io/ja/ai-colab + - https://www.sentient.io/ja/data-alliance + - https://www.sentient.io/ja/team + - https://www.sentient.io/ja/contact + - https://www.sentient.io/ja + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Response message + results: + type: object + example: {} + description: Json Object of returned results + properties: + urls: + type: array + example: [https://www.sentient.io/ja/,https://www.sentient.io/ja/ai-data] + description: Scrapped urls from the webpage. + items: + oneOf: + - type: string + example: https://www.sentient.io/ja/ + - type: string + example: https://www.sentient.io/ja/ai-data + - type: string + example: https://www.sentient.io/ja/ai-colab + - type: string + example: https://www.sentient.io/ja/data-alliance + - type: string + example: https://www.sentient.io/ja/team + - type: string + example: https://www.sentient.io/ja/contact + - type: string + example: https://www.sentient.io/ja + status: + type: string + example: Success + description: API success call. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.2.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 04, 2020 + x-details: Patch Update + description: Latest Version + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Partial URL support + description: Depreciating on Dec 03, 2020 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 1, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + url: + type: string + default: true + example: https://www.sentient.io/ja/ + description: url + depth: + type: integer + example: "2" + default: false + description: Default is 0. + numberofurls: + type: integer + example: "10" + default: false + description: Default value is 100. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index d1ba35143..183970d5c 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -1,251 +1,253 @@ -openapi: 3.0.1 -info: - title: Video-To-Audio Converter - description: |+ - This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format. - - The size of your video file should **not exceed 10 MB**. - version: '0.1.0' - x-additionalinfo: |+ - Suggested Use Cases: - - For building applications that extracts audio from videos in batches. Users can further pipe the audio into microservices involving ASR for further transciption. - x-subscribelink: video-to-audio_converter - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - File size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Mar 06, 2020" -paths: - /microservices/utility/videotoaudio/v0.1/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - AudioContent: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - description: Input parameters

FieldType Description
filePathFileRequired. The file object
Maximum file size up to - 3.5MB
samplerateStringOptional. Sample rate of the audio file in Hz
channelStringOptional. Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo)


- content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - # required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - AudioContent: - type: string - description: Audio file converted to base64 encoded string. - example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - example: sample.mp4 - default: true - description: The file object. - Supported formats: 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v. - samplerate: - type: string - example: "16000" - default: false - description: Sample rate of the audio file in Hz. That there is no set Hz range. Note that decimals and negative values are not supported. - channel: - type: string - example: "1" - default: false - description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 06, 2020 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Video-To-Audio Converter + description: |+ + This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format. + + The size of your video file should **not exceed 10 MB**. + version: '0.1.0' + x-additionalinfo: |+ + Suggested Use Cases: + - For building applications that extracts audio from videos in batches. Users can further pipe the audio into microservices involving ASR for further transciption. + x-subscribelink: video-to-audio_converter + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 10 MB of Video file. + x-apidetailsdesc: |+ + Extract audio from video file. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 06, 2020" +paths: + /microservices/utility/videotoaudio/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + AudioContent: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + description: Input parameters

FieldType Description
filePathFileRequired. The file object
Maximum file size up to - 3.5MB
samplerateStringOptional. Sample rate of the audio file in Hz
channelStringOptional. Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo)


+ content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + # required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + AudioContent: + type: string + description: Audio file converted to base64 encoded string. + example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + example: sample.mp4 + default: true + description: The file object. + Supported formats: 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v. + samplerate: + type: string + example: "16000" + default: false + description: Sample rate of the audio file in Hz. That there is no set Hz range. Note that decimals and negative values are not supported. + channel: + type: string + example: "1" + default: false + description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 06, 2020 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index ac3739f4b..08b3cbe7e 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -1,253 +1,255 @@ -openapi: 3.0.1 -info: - title: Video-to-Image Convertor - description: |+ - This Utility microservice captures the images from the input video file at the frame rate of 1 frame per second. - - Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. - The size of your video file should **not exceed 10 MB**. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be integrated into video editing software to create a quick preview of the footage the user is editing. - version: '0.1.0' - x-subscribelink: video-to-image_convertor - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - File size cannnot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 07, 2020" -paths: - /microservices/utility/videotoimage/v0.1/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - fileContent: document text content - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - '406': - description: Not Acceptable - content: - application/json: - schema: - $ref: '#/components/schemas/notaccceptable' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - # required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: - fileContent: document text content - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - notaccceptable: - type: object - properties: - message: - type: string - example: Unable to Convert, Video is Encoded Using Non-H.264 Codec - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 07, 2020 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: sample.mp4 - description: The Video file object. - - Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Video-to-Image Convertor + description: |+ + This Utility microservice captures the images from the input video file at the frame rate of 1 frame per second. + + Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. + The size of your video file should **not exceed 10 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be integrated into video editing software to create a quick preview of the footage the user is editing. + version: '0.1.0' + x-subscribelink: video-to-image_convertor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 10 MB of Video file. + x-apidetailsdesc: |+ + Extract Image from video file. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 07, 2020" +paths: + /microservices/utility/videotoimage/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + fileContent: document text content + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + '406': + description: Not Acceptable + content: + application/json: + schema: + $ref: '#/components/schemas/notaccceptable' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + # required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: + fileContent: document text content + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + notaccceptable: + type: object + properties: + message: + type: string + example: Unable to Convert, Video is Encoded Using Non-H.264 Codec + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 07, 2020 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.mp4 + description: The Video file object. + + Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index b3043d308..b46e58908 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -1,411 +1,413 @@ -openapi: 3.0.1 -info: - title: Web Scraper - x-subscribelink: web_scraper - description: |+ - This Utility microservice extracts content or specific HTML elements from the input URL. It can extract HTML elements that matches the criteria given in the queryList HTTP request parameter. - For example, to look for all h1 elements in the webpage, one would pass the following queryList parameter: “queryList:[{‘title’:,’findType’:’findall’,‘tag’:’h1’ }]” -
- The results are returned in JSON format to rapidly retrieve website elements like tables, images, etc. from multiple URLs. - x-additionalinfo: |+ - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used for contact scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration. - - Examples: - - To get article content, as text - {"url":<URL>} - - Returns all element text matches the tag name: - {"url":<URL>, queryList:[{"title":,"findType":"find_all","tag":"h1"}]}

Few queryList Examples: - - Returns all Html matches the tag name: - queryList:[{"title":,"findType":"find_all","tag":"h1", "returnType":"html"}] - - Returns all Image Links: - queryList:[{"title":,"findType":"find_all","tag":"img", "attribute":"src"}] - - Returns all Links(URL's): - queryList:[{"title":,"findType":"find_all","tag":"a", "attribute":"href"}] - - Returns all links/text/html/images matches the class name: - queryList:[{"findType":"find_all", "class":,"tag":"a", "attribute":"href"}],{"findType":"find_all", "class":, "tag":"a"},{"findType":"find_all", "class":, "tag":"a", "returnType":"html"},{"findType":"find_all", "class":, "tag":"img", "attribute":"src"}] - - Using select in findType, either class/tag/id/nestedClassId is mandatory: - queryList:[{"findType":"select", "class_":, "tag":}] - queryList:[{"findType":"select", "class_":}] - queryList:[{"findType":"select", "tag":}] - queryList:[{"findType":"select", "id":, "tag":}] - queryList:[{"findType":"select", "id":}] - queryList:[{"findType":"select", "tag":}] - queryList:[{"findType":"select", "nestedClassId":}] - queryList:[{"findType":"select", "nestedClassId":, "returnType":"html"}] - queryList:[{"findType":"select", "nestedClassId":, "attribute":"href"}] - Example using nestedClassId:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"p.strikeout"}] - To get h1 tags that match one or more class names -    "queryList":[{"findType":"select", "nestedClassId":"h1"}] - To get all p tags that matches element id -    "queryList":[{"findType":"select", "nestedClassId":"div#div2 p"}] - To get all litags that matches the element id
   "queryList":[{"findType":"select", "nestedClassId":"div#div2 ul li"}]
To get links from ul list -    "queryList":[{"findType":"select", "nestedClassId":"ul li a"}] - To get links from ul list that matches one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"ul li.class3 a"}] - To get links a element that matches the element id and class name
   "queryList":[{"findType":"select", "nestedClassId":"div#div2 ul li.class3 a"}] - - Notes: - title - is an optional parameter, if title is empty the return json key is "values"
findType - find/find_all/select -    • find - returns first matching possibility
   • find_all - returns all matching possibilities -    • select - If you want to search for tags that match two or more CSS classes. either nestedClassId is mandatory - **returnType is not supported with attribute. - - The results are returned in JSON format and allow for developers to rapidly retrieve website elements like tables, images, etc. from URL - version: '1.1.1' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.1.1" - description: "Published Date - Dec 04, 2020" -paths: - /microservices/utility/webscraping/v1/getresults: - post: - tags: - - v1.1.1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - data: |- - BBC - HomeBBC HomepageSkip to contentAccessibility Helpsign-inBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaret-downsearchSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuWelcome to the BBCBBC HomepagePM warns virus deaths could be 'twice as bad' as springAttributionUKPrince William 'contracted Covid-19 in April'AttributionUKWhich Strictly celeb is the first to leave?AttributionBBC OneMore top storiesBale heads winner to send Spurs secondAttributionFootballWho's ahead in the polls - Trump or Biden?AttributionUS Election 2020Five alternatives to saving money with the bankAttributionBBC ScotlandCoronavirus pandemicnextSpain's funeral homes strike as virus cases riseAttributionEuropeHow many coronavirus cases are there in your area?AttributionUKPolice battle to break up 700-strong illegal raveAttributionEnglandNews headlinesnextScotland's new regional Covid restrictions go liveAttributionScotlandBiden and Trump criss-cross the US as vote nearsAttributionUS Election 2020Veteran journalist Robert Fisk dies aged 74AttributionMiddle EastSport headlinesnextPogba says he made 'stupid mistake'AttributionMan Utd'I don't know the direction Man Utd are going' - MOTD2 analysis. 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AudioSam Smith's track-by-track guide to their new albumAttributionBBC Radio 1listenRap Game star shares his Black History Month picksAttributionBBC ThreeThese eerie stories might just keep you awake at nightAttributionBBC Radio 4Modern Slavery StatementRead moreThe BBC around the UKScotlandALBAWalesCymruNIOther servicesComplaintsUS Election 2020A really simple guide to the electionAttributionBBC NewsDisinformation: How to spot it. iPlayerDisinformation: How to spot itAttributionBBC iPlayeriplayerWho do you think will win?AttributionBBC NewsOdd happenings from past US electionsAttributionBBC BitesizeHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with usAdChoices / Do Not Sell My Info© 2020 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking. - dataList: - - imagelinks: - - https://ichef.bbci.co.uk/images/ic/240x135/p08x3gpx.jpg - - https://ichef.bbci.co.uk/curationkit-ichef/240x135/cpsprodpb/16FC3/production/_115174149_063942058.jpg - - https://ichef.bbci.co.uk/images/ic/240x135/p08x2qxp.jpg - - https://ichef.bbci.co.uk/images/ic/240x135/p08x39pc.jpg - - https://ichef.bbci.co.uk/images/ic/240x135/p08wsqty.jpg - - https://ichef.bbci.co.uk/images/ic/240x135/p08vchc7.jpg - status: Success - '400': - description: Restricted - content: - application/json: - schema: - $ref: '#/components/schemas/restricted' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: successfully processed - description: Detail description on the API status - status: - type: string - example: success - description: The status of the API call success/failure - results: - type: object - example: {"data":"text content of the webpage","dataList": [{ "title": "imagelinks", "findType": "find_all", "tag": "img", "attribute": "src" }]} - description: Json Object of returned results - properties: - data: - type: string - example: "BBC - HomeBBC HomepageSkip to contentAccessibility Helpsign-inBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaret-downsearchSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuWelcome to the BBCBBC HomepagePM warns virus deaths could be 'twice as bad' as springAttributionUKPrince William 'contracted Covid-19 in April'AttributionUKWhich Strictly celeb is the first to leave?AttributionBBC OneMore top storiesBale heads winner to send Spurs secondAttributionFootballWho's ahead in the polls - Trump or Biden?AttributionUS Election 2020Five alternatives to saving money with the bankAttributionBBC ScotlandCoronavirus pandemicnextSpain's funeral homes strike as virus cases riseAttributionEuropeHow many coronavirus cases are there in your area?AttributionUKPolice battle to break up 700-strong illegal raveAttributionEnglandNews headlinesnextScotland's new regional Covid restrictions go liveAttributionScotlandBiden and Trump criss-cross the US as vote nearsAttributionUS Election 2020Veteran journalist Robert Fisk dies aged 74AttributionMiddle EastSport headlinesnextPogba says he made 'stupid mistake'AttributionMan Utd'I don't know the direction Man Utd are going' - MOTD2 analysis. Video'I don't know the direction Man Utd are going' - MOTD2 analysisAttributionMan UtdplayMan City win FA Cup after extra timeAttributionWomen's FootballUS Election 2020nextUS election: Trump is in the fight of his political lifeAttributionUS Election 2020The Asians who want Trump to win re-electionAttributionAsiaThe 750,000 people you didn't know could voteAttributionUS Election 2020Around the UKnextScotland's new regional Covid restrictions go liveAttributionScotlandFollow rules plea ahead of post-lockdown exit planAttributionWalesEight more coronavirus-related deaths in NIAttributionNorthern IrelandThe BBC around the UKScotlandALBAWalesCymruNI3 things we love todayYour pictures on the theme of 'urban living'AttributionIn PicturesCan you guess the celebrity childhood photo?AttributionBBC BitesizeThis Celtic rainforest has the calm vibes we all need. VideoThis Celtic rainforest has the calm vibes we all needAttributionBBC TwoplayPlant powerPlant power, Should you swap that beef burger for a vegan version?Should you swap that beef burger for a vegan version?Watch what might happen if the entire world switched to a plant-based dietAttributionBBC IdeasEntertainment news'This is one of my films of the year'AttributionBBC Radio 5 LiveBill surprises fans with nimble feet (and an elephant)AttributionBBC OneSean Connery's greatest moments on screen - in picturesAttributionEntertainment & ArtsSocietyCouple trolled for intimate wedding photoshootAttributionIndia'I raise £2,000 a month to keep my daughter alive'AttributionEngland'Collaborative effort' needed to help gay players come outAttributionEnglandOur Planet NownextThe BBC’s ongoing focus on the environment and the challenges facing our planetYou've got cheap data, how about cheap power too?Publishedduration2 days agoAttributionScience & EnvironmentThe Repair Shop's Jay Blades: 'Make do and mend' for the planet. Video, 00:03:15The Repair Shop's Jay Blades: 'Make do and mend' for the planetPublishedduration2 days agoplay3:15'You could see avocados growing in Hackney' Video, 00:01:04'You could see avocados growing in Hackney'Publishedduration3 days agoAttributionLondonplay1:04Real-life storiesSteph McGovern on 'toning it down' for TV, Trump and pregnancy. AudioSteph McGovern on 'toning it down' for TV, Trump and pregnancyAttributionBBC Radio 4listen'Nobody would help me until Keanu Reeves turned up!' Video'Nobody would help me until Keanu Reeves turned up!'AttributionBBC OneplayDoctor duped into buying 'Aladdin's lamp' for $41,600AttributionIndiaYou might have missedA magical underwater moment captured on film. VideoA magical underwater moment captured on filmAttributionBBC TwoplayHouse prices climb to record high, says NationwideAttributionBusinessCornwall Poldark house fallen into 'complete disrepair'AttributionEnglandFoodnextPerfect pot-roasts with minimum effortAttributionBBC FoodA super-speedy version of a takeaway classicAttributionBBC FoodHealthy winter warmers to keep you full for longerAttributionBBC FoodLifestyleThree tips to help you through redundancy. VideoThree tips to help you through redundancyAttributionBBC IdeasplayGet your ramble on with Countryfile's top hiking tipsAttributionBBC Children in NeedAwesome autumn activities for younger kidsAttributionTiny Happy PeopleThis week in sportWilder questions Fury gloves in rematchAttributionBoxingTributes after ex-Hearts captain Zaliukas dies aged 36AttributionFootballVerstappen sorry for offensive language during\nPortuguese GPAttributionFormula 1Behind the headlinesCharlie Hebdo attack suspect tests positive for Covid-19AttributionEuropeBerlin's new €6bn airport opens... 10 years late. VideoBerlin's new €6bn airport opens... 10 years lateAttributionWorldplayNew York man plunges into rat-infested sinkholeAttributionUS & CanadaTime well spentSam Smith's track-by-track guide to their new album. AudioSam Smith's track-by-track guide to their new albumAttributionBBC Radio 1listenRap Game star shares his Black History Month picksAttributionBBC ThreeThese eerie stories might just keep you awake at nightAttributionBBC Radio 4Modern Slavery StatementRead moreThe BBC around the UKScotlandALBAWalesCymruNIOther servicesComplaintsUS Election 2020A really simple guide to the electionAttributionBBC NewsDisinformation: How to spot it. iPlayerDisinformation: How to spot itAttributionBBC iPlayeriplayerWho do you think will win?AttributionBBC NewsOdd happenings from past US electionsAttributionBBC BitesizeHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with usAdChoices / Do Not Sell My Info© 2020 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking." - description: Text content of the webpage. - dataList: - type: array - example: [{"imagelinks": ["https://ichef.bbci.co.uk/images/ic/240x135/p08x3gpx.jpg","https://ichef.bbci.co.uk/curationkit-ichef/240x135/cpsprodpb/16FC3/production/_115174149_063942058.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x2qxp.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x39pc.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08wsqty.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08vchc7.jpg"]}] - description: Extracted results of queryList in a list format. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - restricted: - type: object - properties: - message: - type: string - example: The content is restricted - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 04, 2020 - x-details: Patch Update - description: Latest Version - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Partial URL support - description: Depreciating on Dec 03, 2020 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 03, 2020 - x-details: Improvised search filters using queryList, now you can even navigate down the html tree like get all p tag inside a div class "class":"class_name p" - description: Depreciating on Oct 29, 2020 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 18, 2018 - x-details: Initial version release - description: Archived - input: - type: object - properties: - url: - type: string - default: true - example: https://www.bbc.co.uk - description: Webpage URL. It also support partial URL like bbc.co.uk - queryList: - type: array - default: false - example: [{"title":,"findType":"find_all","tag":"h1", "returnType":"html"}] - description: List of extraction conditions. - items: - oneOf: - - type: object - properties: - findType: - x-name: findType - type: string - default: false - example: |+ - find_all - description: |+ - Extraction Type. Possible values are: - 1. find - returns the first matching possibility - 2. find_all - returns the all matching possibility - 3. select - If you want to search for tags that match two or more CSS classes. either nestedClassId is mandatory - tag: - x-name: tag - type: string - default: false - example: h1 - description: |+ - The HTML tag to extract - id: - x-name: id - type: string - default: false - example: sampleid - description: |+ - The HTML element id to extract - class: - x-name: class - type: string - default: false - example: sampleclass - description: |+ - The HTML element classname to extract - nestedClassId: - x-name: nestedclassid - type: string - default: false - example: p.strikeout - description: |+ - The nested HTML tags. Example: p.strikeout - looks for those matching "strikeout" classname inside the "p" element. - Add additional nesting elments using .(dot) to concatenate - attribute: - x-name: attribute - type: string - default: false - example: src - description: |+ - The HTML element attribute to extract, supported only with tag/id/class/nestedClassId - title: - x-name: title - type: string - default: false - example: mytitle - description: |+ - The key value of the extracted result. By default, the return json key is "values". - returnType: - x-name: returnType - type: string - default: false - example: html - description: |+ - Optional input parameter. If no input parameter is specified, the default return type would be text. - Use “html” to set return type to HTML format - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Web Scraper + x-subscribelink: web_scraper + description: |+ + This Utility microservice extracts content or specific HTML elements from the input URL. It can extract HTML elements that matches the criteria given in the queryList HTTP request parameter. + For example, to look for all h1 elements in the webpage, one would pass the following queryList parameter: “queryList:[{‘title’:,’findType’:’findall’,‘tag’:’h1’ }]” +
+ The results are returned in JSON format to rapidly retrieve website elements like tables, images, etc. from multiple URLs. + x-additionalinfo: |+ + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used for contact scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration. + + Examples: + + To get article content, as text + {"url":<URL>} + + Returns all element text matches the tag name: + {"url":<URL>, queryList:[{"title":,"findType":"find_all","tag":"h1"}]}

Few queryList Examples: + + Returns all Html matches the tag name: + queryList:[{"title":,"findType":"find_all","tag":"h1", "returnType":"html"}] + + Returns all Image Links: + queryList:[{"title":,"findType":"find_all","tag":"img", "attribute":"src"}] + + Returns all Links(URL's): + queryList:[{"title":,"findType":"find_all","tag":"a", "attribute":"href"}] + + Returns all links/text/html/images matches the class name: + queryList:[{"findType":"find_all", "class":,"tag":"a", "attribute":"href"}],{"findType":"find_all", "class":, "tag":"a"},{"findType":"find_all", "class":, "tag":"a", "returnType":"html"},{"findType":"find_all", "class":, "tag":"img", "attribute":"src"}] + + Using select in findType, either class/tag/id/nestedClassId is mandatory: + queryList:[{"findType":"select", "class_":, "tag":}] + queryList:[{"findType":"select", "class_":}] + queryList:[{"findType":"select", "tag":}] + queryList:[{"findType":"select", "id":, "tag":}] + queryList:[{"findType":"select", "id":}] + queryList:[{"findType":"select", "tag":}] + queryList:[{"findType":"select", "nestedClassId":}] + queryList:[{"findType":"select", "nestedClassId":, "returnType":"html"}] + queryList:[{"findType":"select", "nestedClassId":, "attribute":"href"}] + Example using nestedClassId:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"p.strikeout"}] + To get h1 tags that match one or more class names +    "queryList":[{"findType":"select", "nestedClassId":"h1"}] + To get all p tags that matches element id +    "queryList":[{"findType":"select", "nestedClassId":"div#div2 p"}] + To get all litags that matches the element id
   "queryList":[{"findType":"select", "nestedClassId":"div#div2 ul li"}]
To get links from ul list +    "queryList":[{"findType":"select", "nestedClassId":"ul li a"}] + To get links from ul list that matches one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"ul li.class3 a"}] + To get links a element that matches the element id and class name
   "queryList":[{"findType":"select", "nestedClassId":"div#div2 ul li.class3 a"}] + + Notes: + title - is an optional parameter, if title is empty the return json key is "values"
findType - find/find_all/select +    • find - returns first matching possibility
   • find_all - returns all matching possibilities +    • select - If you want to search for tags that match two or more CSS classes. either nestedClassId is mandatory + **returnType is not supported with attribute. + + The results are returned in JSON format and allow for developers to rapidly retrieve website elements like tables, images, etc. from URL + version: '1.1.1' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Allows One URL per request. + x-apidetailsdesc: |+ + Extracts content or specific HTML elements from the input URL. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.1.1" + description: "Published Date - Dec 04, 2020" +paths: + /microservices/utility/webscraping/v1/getresults: + post: + tags: + - v1.1.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + data: |- + BBC - HomeBBC HomepageSkip to contentAccessibility Helpsign-inBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaret-downsearchSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuWelcome to the BBCBBC HomepagePM warns virus deaths could be 'twice as bad' as springAttributionUKPrince William 'contracted Covid-19 in April'AttributionUKWhich Strictly celeb is the first to leave?AttributionBBC OneMore top storiesBale heads winner to send Spurs secondAttributionFootballWho's ahead in the polls - Trump or Biden?AttributionUS Election 2020Five alternatives to saving money with the bankAttributionBBC ScotlandCoronavirus pandemicnextSpain's funeral homes strike as virus cases riseAttributionEuropeHow many coronavirus cases are there in your area?AttributionUKPolice battle to break up 700-strong illegal raveAttributionEnglandNews headlinesnextScotland's new regional Covid restrictions go liveAttributionScotlandBiden and Trump criss-cross the US as vote nearsAttributionUS Election 2020Veteran journalist Robert Fisk dies aged 74AttributionMiddle EastSport headlinesnextPogba says he made 'stupid mistake'AttributionMan Utd'I don't know the direction Man Utd are going' - MOTD2 analysis. Video'I don't know the direction Man Utd are going' - MOTD2 analysisAttributionMan UtdplayMan City win FA Cup after extra timeAttributionWomen's FootballUS Election 2020nextUS election: Trump is in the fight of his political lifeAttributionUS Election 2020The Asians who want Trump to win re-electionAttributionAsiaThe 750,000 people you didn't know could voteAttributionUS Election 2020Around the UKnextScotland's new regional Covid restrictions go liveAttributionScotlandFollow rules plea ahead of post-lockdown exit planAttributionWalesEight more coronavirus-related deaths in NIAttributionNorthern IrelandThe BBC around the UKScotlandALBAWalesCymruNI3 things we love todayYour pictures on the theme of 'urban living'AttributionIn PicturesCan you guess the celebrity childhood photo?AttributionBBC BitesizeThis Celtic rainforest has the calm vibes we all need. VideoThis Celtic rainforest has the calm vibes we all needAttributionBBC TwoplayPlant powerPlant power, Should you swap that beef burger for a vegan version?Should you swap that beef burger for a vegan version?Watch what might happen if the entire world switched to a plant-based dietAttributionBBC IdeasEntertainment news'This is one of my films of the year'AttributionBBC Radio 5 LiveBill surprises fans with nimble feet (and an elephant)AttributionBBC OneSean Connery's greatest moments on screen - in picturesAttributionEntertainment & ArtsSocietyCouple trolled for intimate wedding photoshootAttributionIndia'I raise £2,000 a month to keep my daughter alive'AttributionEngland'Collaborative effort' needed to help gay players come outAttributionEnglandOur Planet NownextThe BBC’s ongoing focus on the environment and the challenges facing our planetYou've got cheap data, how about cheap power too?Publishedduration2 days agoAttributionScience & EnvironmentThe Repair Shop's Jay Blades: 'Make do and mend' for the planet. Video, 00:03:15The Repair Shop's Jay Blades: 'Make do and mend' for the planetPublishedduration2 days agoplay3:15'You could see avocados growing in Hackney' Video, 00:01:04'You could see avocados growing in Hackney'Publishedduration3 days agoAttributionLondonplay1:04Real-life storiesSteph McGovern on 'toning it down' for TV, Trump and pregnancy. AudioSteph McGovern on 'toning it down' for TV, Trump and pregnancyAttributionBBC Radio 4listen'Nobody would help me until Keanu Reeves turned up!' Video'Nobody would help me until Keanu Reeves turned up!'AttributionBBC OneplayDoctor duped into buying 'Aladdin's lamp' for $41,600AttributionIndiaYou might have missedA magical underwater moment captured on film. VideoA magical underwater moment captured on filmAttributionBBC TwoplayHouse prices climb to record high, says NationwideAttributionBusinessCornwall Poldark house fallen into 'complete disrepair'AttributionEnglandFoodnextPerfect pot-roasts with minimum effortAttributionBBC FoodA super-speedy version of a takeaway classicAttributionBBC FoodHealthy winter warmers to keep you full for longerAttributionBBC FoodLifestyleThree tips to help you through redundancy. VideoThree tips to help you through redundancyAttributionBBC IdeasplayGet your ramble on with Countryfile's top hiking tipsAttributionBBC Children in NeedAwesome autumn activities for younger kidsAttributionTiny Happy PeopleThis week in sportWilder questions Fury gloves in rematchAttributionBoxingTributes after ex-Hearts captain Zaliukas dies aged 36AttributionFootballVerstappen sorry for offensive language during + Portuguese GPAttributionFormula 1Behind the headlinesCharlie Hebdo attack suspect tests positive for Covid-19AttributionEuropeBerlin's new €6bn airport opens... 10 years late. VideoBerlin's new €6bn airport opens... 10 years lateAttributionWorldplayNew York man plunges into rat-infested sinkholeAttributionUS & CanadaTime well spentSam Smith's track-by-track guide to their new album. AudioSam Smith's track-by-track guide to their new albumAttributionBBC Radio 1listenRap Game star shares his Black History Month picksAttributionBBC ThreeThese eerie stories might just keep you awake at nightAttributionBBC Radio 4Modern Slavery StatementRead moreThe BBC around the UKScotlandALBAWalesCymruNIOther servicesComplaintsUS Election 2020A really simple guide to the electionAttributionBBC NewsDisinformation: How to spot it. iPlayerDisinformation: How to spot itAttributionBBC iPlayeriplayerWho do you think will win?AttributionBBC NewsOdd happenings from past US electionsAttributionBBC BitesizeHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with usAdChoices / Do Not Sell My Info© 2020 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking. + dataList: + - imagelinks: + - https://ichef.bbci.co.uk/images/ic/240x135/p08x3gpx.jpg + - https://ichef.bbci.co.uk/curationkit-ichef/240x135/cpsprodpb/16FC3/production/_115174149_063942058.jpg + - https://ichef.bbci.co.uk/images/ic/240x135/p08x2qxp.jpg + - https://ichef.bbci.co.uk/images/ic/240x135/p08x39pc.jpg + - https://ichef.bbci.co.uk/images/ic/240x135/p08wsqty.jpg + - https://ichef.bbci.co.uk/images/ic/240x135/p08vchc7.jpg + status: Success + '400': + description: Restricted + content: + application/json: + schema: + $ref: '#/components/schemas/restricted' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: successfully processed + description: Detail description on the API status + status: + type: string + example: success + description: The status of the API call success/failure + results: + type: object + example: {"data":"text content of the webpage","dataList": [{ "title": "imagelinks", "findType": "find_all", "tag": "img", "attribute": "src" }]} + description: Json Object of returned results + properties: + data: + type: string + example: "BBC - HomeBBC HomepageSkip to contentAccessibility Helpsign-inBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaret-downsearchSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuWelcome to the BBCBBC HomepagePM warns virus deaths could be 'twice as bad' as springAttributionUKPrince William 'contracted Covid-19 in April'AttributionUKWhich Strictly celeb is the first to leave?AttributionBBC OneMore top storiesBale heads winner to send Spurs secondAttributionFootballWho's ahead in the polls - Trump or Biden?AttributionUS Election 2020Five alternatives to saving money with the bankAttributionBBC ScotlandCoronavirus pandemicnextSpain's funeral homes strike as virus cases riseAttributionEuropeHow many coronavirus cases are there in your area?AttributionUKPolice battle to break up 700-strong illegal raveAttributionEnglandNews headlinesnextScotland's new regional Covid restrictions go liveAttributionScotlandBiden and Trump criss-cross the US as vote nearsAttributionUS Election 2020Veteran journalist Robert Fisk dies aged 74AttributionMiddle EastSport headlinesnextPogba says he made 'stupid mistake'AttributionMan Utd'I don't know the direction Man Utd are going' - MOTD2 analysis. Video'I don't know the direction Man Utd are going' - MOTD2 analysisAttributionMan UtdplayMan City win FA Cup after extra timeAttributionWomen's FootballUS Election 2020nextUS election: Trump is in the fight of his political lifeAttributionUS Election 2020The Asians who want Trump to win re-electionAttributionAsiaThe 750,000 people you didn't know could voteAttributionUS Election 2020Around the UKnextScotland's new regional Covid restrictions go liveAttributionScotlandFollow rules plea ahead of post-lockdown exit planAttributionWalesEight more coronavirus-related deaths in NIAttributionNorthern IrelandThe BBC around the UKScotlandALBAWalesCymruNI3 things we love todayYour pictures on the theme of 'urban living'AttributionIn PicturesCan you guess the celebrity childhood photo?AttributionBBC BitesizeThis Celtic rainforest has the calm vibes we all need. VideoThis Celtic rainforest has the calm vibes we all needAttributionBBC TwoplayPlant powerPlant power, Should you swap that beef burger for a vegan version?Should you swap that beef burger for a vegan version?Watch what might happen if the entire world switched to a plant-based dietAttributionBBC IdeasEntertainment news'This is one of my films of the year'AttributionBBC Radio 5 LiveBill surprises fans with nimble feet (and an elephant)AttributionBBC OneSean Connery's greatest moments on screen - in picturesAttributionEntertainment & ArtsSocietyCouple trolled for intimate wedding photoshootAttributionIndia'I raise £2,000 a month to keep my daughter alive'AttributionEngland'Collaborative effort' needed to help gay players come outAttributionEnglandOur Planet NownextThe BBC’s ongoing focus on the environment and the challenges facing our planetYou've got cheap data, how about cheap power too?Publishedduration2 days agoAttributionScience & EnvironmentThe Repair Shop's Jay Blades: 'Make do and mend' for the planet. Video, 00:03:15The Repair Shop's Jay Blades: 'Make do and mend' for the planetPublishedduration2 days agoplay3:15'You could see avocados growing in Hackney' Video, 00:01:04'You could see avocados growing in Hackney'Publishedduration3 days agoAttributionLondonplay1:04Real-life storiesSteph McGovern on 'toning it down' for TV, Trump and pregnancy. AudioSteph McGovern on 'toning it down' for TV, Trump and pregnancyAttributionBBC Radio 4listen'Nobody would help me until Keanu Reeves turned up!' Video'Nobody would help me until Keanu Reeves turned up!'AttributionBBC OneplayDoctor duped into buying 'Aladdin's lamp' for $41,600AttributionIndiaYou might have missedA magical underwater moment captured on film. VideoA magical underwater moment captured on filmAttributionBBC TwoplayHouse prices climb to record high, says NationwideAttributionBusinessCornwall Poldark house fallen into 'complete disrepair'AttributionEnglandFoodnextPerfect pot-roasts with minimum effortAttributionBBC FoodA super-speedy version of a takeaway classicAttributionBBC FoodHealthy winter warmers to keep you full for longerAttributionBBC FoodLifestyleThree tips to help you through redundancy. VideoThree tips to help you through redundancyAttributionBBC IdeasplayGet your ramble on with Countryfile's top hiking tipsAttributionBBC Children in NeedAwesome autumn activities for younger kidsAttributionTiny Happy PeopleThis week in sportWilder questions Fury gloves in rematchAttributionBoxingTributes after ex-Hearts captain Zaliukas dies aged 36AttributionFootballVerstappen sorry for offensive language during\nPortuguese GPAttributionFormula 1Behind the headlinesCharlie Hebdo attack suspect tests positive for Covid-19AttributionEuropeBerlin's new €6bn airport opens... 10 years late. VideoBerlin's new €6bn airport opens... 10 years lateAttributionWorldplayNew York man plunges into rat-infested sinkholeAttributionUS & CanadaTime well spentSam Smith's track-by-track guide to their new album. AudioSam Smith's track-by-track guide to their new albumAttributionBBC Radio 1listenRap Game star shares his Black History Month picksAttributionBBC ThreeThese eerie stories might just keep you awake at nightAttributionBBC Radio 4Modern Slavery StatementRead moreThe BBC around the UKScotlandALBAWalesCymruNIOther servicesComplaintsUS Election 2020A really simple guide to the electionAttributionBBC NewsDisinformation: How to spot it. iPlayerDisinformation: How to spot itAttributionBBC iPlayeriplayerWho do you think will win?AttributionBBC NewsOdd happenings from past US electionsAttributionBBC BitesizeHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with usAdChoices / Do Not Sell My Info© 2020 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking." + description: Text content of the webpage. + dataList: + type: array + example: [{"imagelinks": ["https://ichef.bbci.co.uk/images/ic/240x135/p08x3gpx.jpg","https://ichef.bbci.co.uk/curationkit-ichef/240x135/cpsprodpb/16FC3/production/_115174149_063942058.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x2qxp.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x39pc.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08wsqty.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08vchc7.jpg"]}] + description: Extracted results of queryList in a list format. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 04, 2020 + x-details: Patch Update + description: Latest Version + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Partial URL support + description: Depreciating on Dec 03, 2020 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Improvised search filters using queryList, now you can even navigate down the html tree like get all p tag inside a div class "class":"class_name p" + description: Depreciating on Oct 29, 2020 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 18, 2018 + x-details: Initial version release + description: Archived + input: + type: object + properties: + url: + type: string + default: true + example: https://www.bbc.co.uk + description: Webpage URL. It also support partial URL like bbc.co.uk + queryList: + type: array + default: false + example: [{"title":,"findType":"find_all","tag":"h1", "returnType":"html"}] + description: List of extraction conditions. + items: + oneOf: + - type: object + properties: + findType: + x-name: findType + type: string + default: false + example: |+ + find_all + description: |+ + Extraction Type. Possible values are: + 1. find - returns the first matching possibility + 2. find_all - returns the all matching possibility + 3. select - If you want to search for tags that match two or more CSS classes. either nestedClassId is mandatory + tag: + x-name: tag + type: string + default: false + example: h1 + description: |+ + The HTML tag to extract + id: + x-name: id + type: string + default: false + example: sampleid + description: |+ + The HTML element id to extract + class: + x-name: class + type: string + default: false + example: sampleclass + description: |+ + The HTML element classname to extract + nestedClassId: + x-name: nestedclassid + type: string + default: false + example: p.strikeout + description: |+ + The nested HTML tags. Example: p.strikeout - looks for those matching "strikeout" classname inside the "p" element. + Add additional nesting elments using .(dot) to concatenate + attribute: + x-name: attribute + type: string + default: false + example: src + description: |+ + The HTML element attribute to extract, supported only with tag/id/class/nestedClassId + title: + x-name: title + type: string + default: false + example: mytitle + description: |+ + The key value of the extracted result. By default, the return json key is "values". + returnType: + x-name: returnType + type: string + default: false + example: html + description: |+ + Optional input parameter. If no input parameter is specified, the default return type would be text. + Use “html” to set return type to HTML format + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/wikipedia.yaml b/utility/wikipedia.yaml index 7dc6bf3e7..dec76d9b4 100644 --- a/utility/wikipedia.yaml +++ b/utility/wikipedia.yaml @@ -1,355 +1,357 @@ -openapi: 3.0.1 -info: - title: Wikipedia Retrieval - description: |+ - This Utility microservice provides the user with a Wikipedia article based on the input keyword. Refer to this link for the full list of Wikipedias - https://meta.wikimedia.org/wiki/List_of_Wikipedias - x-additionalinfo: |+ - Suggested Use Cases: - - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more. - - - Extract the most relevant content from Wikipedia’s categories to provide a text analysis service to ascertain what any text is in reference to. - version: '1.0.0' - x-subscribelink: wikipedia_retrieval - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Jan 11, 2021" -paths: - /microservices/utility/wikipedia/v1/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - content: Singapore officially the Republic of Singapore, is a sovereign city-state - and island country located in maritime Southeast Asia. Singapore lies about one - degree of latitude (137 kilometres or 85 miles) north of the equator. - images: - - https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg - - https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png - - https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg - - https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg - links: - - 65 - - ".sg" - - 126 Squadron, Republic of Singapore Air Force - - 13th Parliament of Singapore - - 16th Summit of the Non-Aligned Movement - - 1915 Singapore Mutiny - pageid: 27318 - summary: Singapore officially the Republic of Singapore, is a sovereign city-state - and island country located in maritime Southeast Asia. Singapore lies about one - degree of latitude (137 kilometres or 85 miles) north of the equator. - thumbnail: - height: 333 - source: https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png - width: 500 - url: https://en.wikipedia.org/wiki/Singapore - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - content: - type: string - example: "Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. - Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator." - description: Plain text content of the page, excluding images, tables, and other data. - images: - type: array - example: ["https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg","https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png"] - description: List of URLs of images on the page. - items: - oneOf: - - type: string - format: list - example: https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg - - type: string - format: list - example: https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png - - type: string - format: list - example: https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg - - type: string - format: list - example: https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg - links: - type: array - example: [".sg","126 Squadron, Republic of Singapore Air Force","13th Parliament of Singapore","16th Summit of the Non-Aligned Movement"] - description: List of titles of Wikipedia page links on a page. - items: - oneOf: - - type: string - format: list - example: +65 - - type: string - format: list - example: .sg - - type: string - format: list - example: 126 Squadron, Republic of Singapore Air Force - - type: string - format: list - example: 13th Parliament of Singapore - - type: string - format: list - example: 16th Summit of the Non-Aligned Movement - - type: string - format: list - example: 1915 Singapore Mutiny - pageid: - type: integer - example: 27318 - description: The id of the page requested - summary: - type: string - example: Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. - Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator. - description: A short summary of the Wikipedia article that was requested - thumbnail: - type: object - example: {"height":333,"source":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png", "width":500} - description: URL and dimensions of thumbnail image associated with page, if any. - properties: - height: - type: string - example: 333 - description: Height of the thumbnail image - source: - type: string - example: https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png - description: Source URL of the thumbnail image - width: - type: string - example: 500 - description: Width of the thumbnail image - url: - type: string - example: https://en.wikipedia.org/wiki/Singapore - description: The website url of the requested wikipedia articles - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 11, 2021 - x-details: Patch Update, Optimization and thumbnail is added as an additional field - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 23, 2020 - x-details: Initial version release - description: Archived - input: - type: object - properties: - keyword: - type: string - example: Singapore - default: true - description: The search term, highest match to the title of the Wikipedia page. Not Mandatory when pageid is given. - pageid: - type: integer - default: false - example: 27318 - description: The Wikipedia id of the page requested. Mandatory only when title is not given. - language: - type: string - default: false - example: en - description: Indicates the language in which the Wikipedia page is written. Default is English, for other languages give the input as ISO 639-1 language code. Please refer this link for language code https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes - additional_fields: - type: string - default: false - example: all - description: The default returns the pageid, url, summary and thumbnail, when given “all” - returns all the fields i.e pageid, url, summary, content, links, images and thumbnail. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Wikipedia Retrieval + description: |+ + This Utility microservice provides the user with a Wikipedia article based on the input keyword. Refer to this link for the full list of Wikipedias - https://meta.wikimedia.org/wiki/List_of_Wikipedias + x-additionalinfo: |+ + Suggested Use Cases: + - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more. + + - Extract the most relevant content from Wikipedia’s categories to provide a text analysis service to ascertain what any text is in reference to. + version: '1.0.0' + x-subscribelink: wikipedia_retrieval + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | Single String /Call + x-inputfilelimit: |+ + Process Single String per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Keyword with a string. + x-apidetailsdesc: |+ + Provide Wikipedia article based on the input keyword. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Jan 11, 2021" +paths: + /microservices/utility/wikipedia/v1/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + content: Singapore officially the Republic of Singapore, is a sovereign city-state + and island country located in maritime Southeast Asia. Singapore lies about one + degree of latitude (137 kilometres or 85 miles) north of the equator. + images: + - https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg + - https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png + - https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg + - https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg + links: + - 65 + - ".sg" + - 126 Squadron, Republic of Singapore Air Force + - 13th Parliament of Singapore + - 16th Summit of the Non-Aligned Movement + - 1915 Singapore Mutiny + pageid: 27318 + summary: Singapore officially the Republic of Singapore, is a sovereign city-state + and island country located in maritime Southeast Asia. Singapore lies about one + degree of latitude (137 kilometres or 85 miles) north of the equator. + thumbnail: + height: 333 + source: https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png + width: 500 + url: https://en.wikipedia.org/wiki/Singapore + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + content: + type: string + example: "Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. + Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator." + description: Plain text content of the page, excluding images, tables, and other data. + images: + type: array + example: ["https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg","https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png"] + description: List of URLs of images on the page. + items: + oneOf: + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg + links: + type: array + example: [".sg","126 Squadron, Republic of Singapore Air Force","13th Parliament of Singapore","16th Summit of the Non-Aligned Movement"] + description: List of titles of Wikipedia page links on a page. + items: + oneOf: + - type: string + format: list + example: +65 + - type: string + format: list + example: .sg + - type: string + format: list + example: 126 Squadron, Republic of Singapore Air Force + - type: string + format: list + example: 13th Parliament of Singapore + - type: string + format: list + example: 16th Summit of the Non-Aligned Movement + - type: string + format: list + example: 1915 Singapore Mutiny + pageid: + type: integer + example: 27318 + description: The id of the page requested + summary: + type: string + example: Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. + Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator. + description: A short summary of the Wikipedia article that was requested + thumbnail: + type: object + example: {"height":333,"source":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png", "width":500} + description: URL and dimensions of thumbnail image associated with page, if any. + properties: + height: + type: string + example: 333 + description: Height of the thumbnail image + source: + type: string + example: https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png + description: Source URL of the thumbnail image + width: + type: string + example: 500 + description: Width of the thumbnail image + url: + type: string + example: https://en.wikipedia.org/wiki/Singapore + description: The website url of the requested wikipedia articles + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 11, 2021 + x-details: Patch Update, Optimization and thumbnail is added as an additional field + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 23, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + keyword: + type: string + example: Singapore + default: true + description: The search term, highest match to the title of the Wikipedia page. Not Mandatory when pageid is given. + pageid: + type: integer + default: false + example: 27318 + description: The Wikipedia id of the page requested. Mandatory only when title is not given. + language: + type: string + default: false + example: en + description: Indicates the language in which the Wikipedia page is written. Default is English, for other languages give the input as ISO 639-1 language code. Please refer this link for language code https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes + additional_fields: + type: string + default: false + example: all + description: The default returns the pageid, url, summary and thumbnail, when given “all” - returns all the fields i.e pageid, url, summary, content, links, images and thumbnail. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/wikipedia_retrieval_v0.1.yaml b/utility/wikipedia_retrieval_v0.1.yaml index 53207bf15..0b03da8ba 100644 --- a/utility/wikipedia_retrieval_v0.1.yaml +++ b/utility/wikipedia_retrieval_v0.1.yaml @@ -1,334 +1,334 @@ -openapi: 3.0.1 -info: - title: Wikipedia Retrieval - description: |+ - It is an API that provides the user with a Wikipedia article based on the input keyword. Refer to this link for the full list of Wikipedias - https://meta.wikimedia.org/wiki/List_of_Wikipedias - x-additionalinfo: |+ - Suggested Use Cases: - - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more. - - - Extract the most relevant content from Wikipedia’s categories to provide a text analysis service to ascertain what any text is in reference to. - version: '0.1.0' - x-subscribelink: wikipedia_retrieval - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Apr 23, 2020" -paths: - /microservices/utility/wikipedia/v0.1/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - content: Singapore officially the Republic of Singapore, is a sovereign city-state - and island country located in maritime Southeast Asia. Singapore lies about one - degree of latitude (137 kilometres or 85 miles) north of the equator. - images: - - https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg - - https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png - - https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg - - https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg - links: - - 65 - - ".sg" - - 126 Squadron, Republic of Singapore Air Force - - 13th Parliament of Singapore - - 16th Summit of the Non-Aligned Movement - - 1915 Singapore Mutiny - pageid: 27318 - summary: Singapore officially the Republic of Singapore, is a sovereign city-state - and island country located in maritime Southeast Asia. Singapore lies about one - degree of latitude (137 kilometres or 85 miles) north of the equator. - url: https://en.wikipedia.org/wiki/Singapore - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - content: - type: string - example: "Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. - Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator." - description: Plain text content of the page, excluding images, tables, and other data. - images: - type: array - example: ["https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg","https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png"] - description: List of URLs of images on the page. - items: - oneOf: - - type: string - format: list - example: https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg - - type: string - format: list - example: https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png - - type: string - format: list - example: https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg - - type: string - format: list - example: https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg - links: - type: array - example: [".sg","126 Squadron, Republic of Singapore Air Force","13th Parliament of Singapore","16th Summit of the Non-Aligned Movement"] - description: List of titles of Wikipedia page links on a page. - items: - oneOf: - - type: string - format: list - example: +65 - - type: string - format: list - example: .sg - - type: string - format: list - example: 126 Squadron, Republic of Singapore Air Force - - type: string - format: list - example: 13th Parliament of Singapore - - type: string - format: list - example: 16th Summit of the Non-Aligned Movement - - type: string - format: list - example: 1915 Singapore Mutiny - pageid: - type: integer - example: 27318 - description: The id of the page requested - summary: - type: string - example: Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. - Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator. - description: A short summary of the Wikipedia article that was requested - url: - type: string - example: https://en.wikipedia.org/wiki/Singapore - description: The website url of the requested wikipedia articles - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 11, 2021 - x-details: Patch Update, Optimization and thumbnail is added as an additional field - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 23, 2020 - x-details: Initial version release - description: Archived - input: - type: object - properties: - title: - type: string - example: Singapore - default: true - description: The search term, highest match to the title of the Wikipedia page. - pageid: - type: integer - default: true - example: 27318 - description: The Wikipedia id of the page requested. - language: - type: string - default: false - example: en - description: Indicates the language in which the Wikipedia page is written. Default is English, for other languages give the input as ISO 639-1 language code. Please refer this link for language code https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes. - filter_key: - type: string - default: false - example: all - description: Indicates the filter criteria of the output result fields. The default return set includes pageid, url, and summary.“all” - returns all the fields. You can also filter by individual fields using the list value. Possible values are pageid, url, summary, content, links, and images - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Wikipedia Retrieval + description: |+ + It is an API that provides the user with a Wikipedia article based on the input keyword. Refer to this link for the full list of Wikipedias - https://meta.wikimedia.org/wiki/List_of_Wikipedias + x-additionalinfo: |+ + Suggested Use Cases: + - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more. + + - Extract the most relevant content from Wikipedia’s categories to provide a text analysis service to ascertain what any text is in reference to. + version: '0.1.0' + x-subscribelink: wikipedia_retrieval + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Payload size cannot exceed 10 MB. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Apr 23, 2020" +paths: + /microservices/utility/wikipedia/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + content: Singapore officially the Republic of Singapore, is a sovereign city-state + and island country located in maritime Southeast Asia. Singapore lies about one + degree of latitude (137 kilometres or 85 miles) north of the equator. + images: + - https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg + - https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png + - https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg + - https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg + links: + - 65 + - ".sg" + - 126 Squadron, Republic of Singapore Air Force + - 13th Parliament of Singapore + - 16th Summit of the Non-Aligned Movement + - 1915 Singapore Mutiny + pageid: 27318 + summary: Singapore officially the Republic of Singapore, is a sovereign city-state + and island country located in maritime Southeast Asia. Singapore lies about one + degree of latitude (137 kilometres or 85 miles) north of the equator. + url: https://en.wikipedia.org/wiki/Singapore + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + content: + type: string + example: "Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. + Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator." + description: Plain text content of the page, excluding images, tables, and other data. + images: + type: array + example: ["https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg","https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png"] + description: List of URLs of images on the page. + items: + oneOf: + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg + links: + type: array + example: [".sg","126 Squadron, Republic of Singapore Air Force","13th Parliament of Singapore","16th Summit of the Non-Aligned Movement"] + description: List of titles of Wikipedia page links on a page. + items: + oneOf: + - type: string + format: list + example: +65 + - type: string + format: list + example: .sg + - type: string + format: list + example: 126 Squadron, Republic of Singapore Air Force + - type: string + format: list + example: 13th Parliament of Singapore + - type: string + format: list + example: 16th Summit of the Non-Aligned Movement + - type: string + format: list + example: 1915 Singapore Mutiny + pageid: + type: integer + example: 27318 + description: The id of the page requested + summary: + type: string + example: Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. + Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator. + description: A short summary of the Wikipedia article that was requested + url: + type: string + example: https://en.wikipedia.org/wiki/Singapore + description: The website url of the requested wikipedia articles + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 11, 2021 + x-details: Patch Update, Optimization and thumbnail is added as an additional field + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 23, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + title: + type: string + example: Singapore + default: true + description: The search term, highest match to the title of the Wikipedia page. + pageid: + type: integer + default: true + example: 27318 + description: The Wikipedia id of the page requested. + language: + type: string + default: false + example: en + description: Indicates the language in which the Wikipedia page is written. Default is English, for other languages give the input as ISO 639-1 language code. Please refer this link for language code https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes. + filter_key: + type: string + default: false + example: all + description: Indicates the filter criteria of the output result fields. The default return set includes pageid, url, and summary.“all” - returns all the fields. You can also filter by individual fields using the list value. Possible values are pageid, url, summary, content, links, and images + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/utility/youtube_video_downloader.yaml b/utility/youtube_video_downloader.yaml index 01428c6dc..bd3e984fc 100644 --- a/utility/youtube_video_downloader.yaml +++ b/utility/youtube_video_downloader.yaml @@ -1,235 +1,235 @@ -openapi: 3.0.1 -info: - title: Youtube Video Downloader - description: |+ - This Utility microservice retrieves the Youtube video of the input URL and outputs a download link. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be integrated into apps used to download and watch videos when the user wants to save limited data. - version: '0.1.0' - x-subscribelink: youtube_video_downloader - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Nov 25, 2019" -paths: - /microservices/utility/downloadyoutubevideos/v0.1/getresults: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - url: https://storage.googleapis.com/youtubedownload/video.mp4?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=cloudstorage%40sentient-231509.iam.gserviceaccount.com%2F20200513%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200513T115310Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - message: Successfully downloaded and stored in Google Cloud Storage. - status: success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - url: - type: string - description: Pre-signed URL to download the video - example: https://storage.googleapis.com/youtubedownload/video.mp4?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=cloudstorage%40sentient-231509.iam.gserviceaccount.com%2F20200513%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200513T115310Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - message: - type: string - example: Successfully downloaded and stored in Google Cloud Storage. - description: Detail description on the API status - status: - type: string - example: success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - properties: - url: - type: string - default: true - example: https://www.youtube.com/watch?v=1bumPyvzCyo - description: |+ - Youtube URL. - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25, 2019 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Youtube Video Downloader + description: |+ + This Utility microservice retrieves the Youtube video of the input URL and outputs a download link. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be integrated into apps used to download and watch videos when the user wants to save limited data. + version: '0.1.0' + x-subscribelink: youtube_video_downloader + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Payload size cannot exceed 10 MB. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Nov 25, 2019" +paths: + /microservices/utility/downloadyoutubevideos/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + url: https://storage.googleapis.com/youtubedownload/video.mp4?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=cloudstorage%40sentient-231509.iam.gserviceaccount.com%2F20200513%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200513T115310Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=730f588eb4794828389c6a098002d666b307ab695dbd07f84e5309f79503e857e2d8352e11125a0d569f7e3704da6a0320e426f7fe99ed68d965d3812700c4930060e95da1f7d0694c7751ca493c3f097bcd85a37f33ee8a0a7c7366a8aeba2f5bae7814cc1f0ec5f397ebe70f0bc9bcb82be8843db609ebef01953ae3fdd82d48b39184ac566d570cd3a2b3c1f1a09353f0b2d83643eb1b3140850585a299ada899f6473e76c585128d0b864724f67430f6b2b8798e4399c991d97e2716c5382b6597fca8ee43e72f409848491109ba093399355eeb76b92bf769d2e10e5d2952615e8fbc7798bb7bca8d71ef631339634911346d0175cc45fb691d6c8b9cae + message: Successfully downloaded and stored in Google Cloud Storage. + status: success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + url: + type: string + description: Pre-signed URL to download the video + example: https://storage.googleapis.com/youtubedownload/video.mp4?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=cloudstorage%40sentient-231509.iam.gserviceaccount.com%2F20200513%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200513T115310Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + message: + type: string + example: Successfully downloaded and stored in Google Cloud Storage. + description: Detail description on the API status + status: + type: string + example: success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + properties: + url: + type: string + default: true + example: https://www.youtube.com/watch?v=1bumPyvzCyo + description: |+ + Youtube URL. + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25, 2019 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/alibaba_chinese_asr.yaml b/voice/alibaba_chinese_asr.yaml index 70b93bf83..bde0ed929 100644 --- a/voice/alibaba_chinese_asr.yaml +++ b/voice/alibaba_chinese_asr.yaml @@ -1,277 +1,279 @@ -openapi: 3.0.1 -info: - title: Alibaba Chinese ASR - description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. - The server returns the recognition result in a JSON format as a response. - x-additionalinfo: |+ - Suggested Use Cases: - - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - version: '0.1.0' - x-subscribelink: automatic_speech_recognition_chi - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 60sec/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Limit cannot exceed 60 seconds (1 minute). -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 20, 2021" -paths: - /microservices/voice/alibabachiasr/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - output: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' -# multipart/form-data: -# schema: -# $ref: '#/components/schemas/input' -# required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: output object - example: {""} - properties: - output: - type: string - example: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 - description: The speech recognition result. - status: - type: string - example: Success - description: The status of the API call success/failure - message: - type: string - example: Successfully Processed - description: Status Message - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: -# filepath: -# type: string -# format: binary -# default: false -# description: Audio File Object - wav_base64: - x-name: wav_base64 - type: string - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - audio_encoding: - type: string - default: false - example: pcm - description: - The audio coding format. Valid values - pcm, opus. Default value - pcm. - sample_rate: - type: number - default: false - example: 16000 - description: - The audio sampling rate, in Hz. Valid values - 16000 and 8000. Default value - 16000. - punctuation_prediction: - type: boolean - default: false - example: false - description: - Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. - inverse_text_normalization: - type: boolean - default: false - example: false - description: - Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values - True and False. Default value - False. - voice_detection: - type: boolean - default: false - example: false - description: - Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 20, 2021 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Alibaba Chinese ASR + description: |+ + This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. + The server returns the recognition result in a JSON format as a response. + x-additionalinfo: |+ + Suggested Use Cases: + - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. + - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. + - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. + version: '0.1.0' + x-subscribelink: automatic_speech_recognition_chi + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 20, 2021" +paths: + /microservices/voice/alibabachiasr/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + output: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' +# multipart/form-data: +# schema: +# $ref: '#/components/schemas/input' +# required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: output object + example: {""} + properties: + output: + type: string + example: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 + description: The speech recognition result. + status: + type: string + example: Success + description: The status of the API call success/failure + message: + type: string + example: Successfully Processed + description: Status Message + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: +# filepath: +# type: string +# format: binary +# default: false +# description: Audio File Object + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + audio_encoding: + type: string + default: false + example: pcm + description: + The audio coding format. Valid values - pcm, opus. Default value - pcm. + sample_rate: + type: number + default: false + example: 16000 + description: + The audio sampling rate, in Hz. Valid values - 16000 and 8000. Default value - 16000. + punctuation_prediction: + type: boolean + default: false + example: false + description: + Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. + inverse_text_normalization: + type: boolean + default: false + example: false + description: + Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values - True and False. Default value - False. + voice_detection: + type: boolean + default: false + example: false + description: + Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 20, 2021 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 0da440ae9..3d7a5dbf7 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -1,520 +1,522 @@ -openapi: 3.0.1 -info: - title: Alibaba Chinese ASR (Large File) - description: |+ - This Voice microservice takes in the input audio file and supports recognizing a speech. - The server returns the recognition result in a JSON format as a response. - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. - x-additionalinfo: |+ - Suggested Use Cases: - - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - version: '0.1.0' - x-subscribelink: automatic_speech_recognition_chi - x-apitype: large file - x-apitypedescription: |+ - Asyncronous | Batch | 10GB/File - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 60 seconds. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 23, 2021" -paths: - /async/microservices/voice/alibabachiasr/v0/getuploadurl: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - fields: - content-type: audio/wav - key: >- - 309/495/lp-alibabachiasr/input/chinetest_4f079ca05c614d789252db1d574664d8.wav - policy: >- - eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhdWRpby93YXYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDQ2Mzc1Ml0seyJjb250ZW50LXR5cGUiOiJhdWRpby93YXYifSx7IngtZ29vZy1tZXRhLWFkZGl0aW9uYWxfcGFyYW0iOiJOb25lIn0seyJ4LWdvb2ctbWV0YS1vaWQiOiIzMDkifSx7IngtZ29vZy1tZXRhLXVpZCI6IjQ5NSJ9LHsieC1nb29nLW1ldGEtdXBsb2FkZXIiOiJmMzYzN2UwN2JjM2I0NWNkYmM3NDY4NjM5NWRmNDNmYSJ9LHsieC1nb29nLW1ldGEtdXVpZCI6IjRmMDc5Y2EwNWM2MTRkNzg5MjUyZGIxZDU3NDY2NGQ4In0seyJidWNrZXQiOiJ1c2VyX3NwYWNlX2RldiJ9LHsia2V5IjoiMzA5LzQ5NS9scC1hbGliYWJhY2hpYXNyL2lucHV0L2NoaW5ldGVzdF80ZjA3OWNhMDVjNjE0ZDc4OTI1MmRiMWQ1NzQ2NjRkOC53YXYifSx7IngtZ29vZy1kYXRlIjoiMjAyMTEyMjBUMDQyOTQwWiJ9LHsieC1nb29nLWNyZWRlbnRpYWwiOiJzZW50aWVudC1kZXYtYmlncXVlcnlAc2VudGllbnQtMjA3MzEwLmlhbS5nc2VydmljZWFjY291bnQuY29tLzIwMjExMjIwL2F1dG8vc3RvcmFnZS9nb29nNF9yZXF1ZXN0In0seyJ4LWdvb2ctYWxnb3JpdGhtIjoiR09PRzQtUlNBLVNIQTI1NiJ9XSwiZXhwaXJhdGlvbiI6IjIwMjEtMTItMjBUMDU6Mjk6NDAuNDM3NTk2WiJ9 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request - x-goog-date: 20211220T042940Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: f3637e07bc3b45cdbc74686395df43fa - x-goog-meta-uuid: 4f079ca05c614d789252db1d574664d8 - x-goog-signature: >- - 304d7e52afcea3d6e41818b7c3c71973f275ff979c1280c174b902498eb7bf8f8083dde132af0751ea1fd03a6b3f5e01a6427f5ac05c143da7e9fca53a5c7603b98330291ddb7d90a441eb5ec51340b96a3142497f42dbe6771fabdcfee7dfdc5fd7c0f0fc23dbdfab263fabd1de9a832ee37ec34d4a20e9af6152b708e147d7ae2d02c7f77a2c58577ae2e64914a664d7af6ff0799390c7641e1865affb5749ad40711c9d4049a6a87efe7125257790767c6de237cddd76a1f4bc7662c324b02d770b62f01b7b79b1ea6e8dae0e15f7661c126d8312ba04bcc8c7d290acc7cabf7670d48c4f68272036ba7c545ad04771605db41acabb2bb6e850e9c9d094bf - jid: e7fe34e9c21c4d75bc94051e476141c5 - request_cost: 0.0319 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - /upload: - post: - servers: - - url: 'https://storage.googleapis.com/user_space_dev/' - description: Override base path for the GET /ping operation - tags: - - v0.1.0 - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/uploadinput' - required: true - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - /async/microservices/voice/alibabachiasr/v0/getstatus: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: jid - schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 - status: Processing - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated - message: - type: string - example: File Processing Successfully Started - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Processing - description: Detail description on the API status - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - fields: - type: object - example: { "" } - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 23, 2021 - x-details: Initial version release - description: Archived - input: - type: object - required: - - file_name - properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size - file_name: - x-name: file_name - type: string - default: true - format: binary - example: 'test.txt' - description: |+ - File name - content_type: - x-name: content_type - type: string - default: true - example: 'text/plain' - description: |+ - Content type - uploadinput: - type: object - required: - - filePath - properties: - fields: - type: object - example: - - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211220T042940Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 309 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: f3637e07bc3b45cdbc74686395df43fa - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 4f079ca05c614d789252db1d574664d8 - description: Google algorithm - x-goog-signature: - type: string - example: 304d7e52afcea3d6e41818b7c3c71973f275... - description: Google algorithm - jid: - type: string - example: e7fe34e9c21c4d75bc94051e476141c5 - description: Google algorithm - request_cost: - type: string - example: 0.0298 - description: Google algorithm - url: - type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Alibaba Chinese ASR (Large File) + description: |+ + This Voice microservice takes in the input audio file and supports recognizing a speech. + The server returns the recognition result in a JSON format as a response. + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + x-additionalinfo: |+ + Suggested Use Cases: + - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. + - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. + - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. + version: '0.1.0' + x-subscribelink: automatic_speech_recognition_chi + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Larger Files. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 23, 2021" +paths: + /async/microservices/voice/alibabachiasr/v0/getuploadurl: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-alibabachiasr/input/chinetest_4f079ca05c614d789252db1d574664d8.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T042940Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: f3637e07bc3b45cdbc74686395df43fa + x-goog-meta-uuid: 4f079ca05c614d789252db1d574664d8 + x-goog-signature: >- + 304d7e52afcea3d6e41818b7c3c71973f275ff979c1280c174b902498eb7bf8f8083dde132af0751ea1fd03a6b3f5e01a6427f5ac05c143da7e9fca53a5c7603b98330291ddb7d90a441eb5ec51340b96a3142497f42dbe6771fabdcfee7dfdc5fd7c0f0fc23dbdfab263fabd1de9a832ee37ec34d4a20e9af6152b708e147d7ae2d02c7f77a2c58577ae2e64914a664d7af6ff0799390c7641e1865affb5749ad40711c9d4049a6a87efe7125257790767c6de237cddd76a1f4bc7662c324b02d770b62f01b7b79b1ea6e8dae0e15f7661c126d8312ba04bcc8c7d290acc7cabf7670d48c4f68272036ba7c545ad04771605db41acabb2bb6e850e9c9d094bf + jid: e7fe34e9c21c4d75bc94051e476141c5 + request_cost: 0.0319 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/alibabachiasr/v0/getstatus: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 23, 2021 + x-details: Initial version release + description: Archived + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: |+ + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: 'test.txt' + description: |+ + File name + content_type: + x-name: content_type + type: string + default: true + example: 'text/plain' + description: |+ + Content type + uploadinput: + type: object + required: + - filePath + properties: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T042940Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: f3637e07bc3b45cdbc74686395df43fa + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 4f079ca05c614d789252db1d574664d8 + description: Google algorithm + x-goog-signature: + type: string + example: 304d7e52afcea3d6e41818b7c3c71973f275... + description: Google algorithm + jid: + type: string + example: e7fe34e9c21c4d75bc94051e476141c5 + description: Google algorithm + request_cost: + type: string + example: 0.0298 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 9bb8d61b1..8260ccb32 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -1,330 +1,332 @@ -openapi: 3.0.1 -info: - title: ASR with Voice Activity Detection ENG - description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - The length of your audio should be **up to 60 seconds**. - version: '1.2.1' - x-additionalinfo: |+ - Suggested Use Cases: - - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - x-subscribelink: asr_with_voice_activity_detection_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 60sec/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 60 seconds. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.2.1" - description: "Published Date - Nov 09, 2021" -paths: - /microservices/voice/vadasr/v1/getpredictions: - post: - tags: - - v1.2.1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - output: - - seqNum: 1 - start: 0.64 - end: 23.72 - text: HELLO WORLD - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - output: - type: array - example: [{end: 23.72,seqNum: 1,start: 0.64,text: HELLO WORLD }] - description: List of details of start and end time of utterances in the input audio - items: - oneOf: - - type: object - properties: - end: - type: string - example: 23.72 - description: End time of utterance - seqNum: - type: string - example: 1 - description: Running sequence number starts from 1. - start: - type: integer - example: 0.64 - description: Start time of utterance - text: - type: string - description: Converted text from the input audio file - example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - model - - wav_base64 - properties: - model: - x-name: model - type: string - default: true - example: generic - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - - 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz - 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. - 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. - - wav_base64: - x-name: wav_base64 - type: string - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: |+ - Input audio wav file in base64 format. - - Mono channel, 8kHz / 16kHz sampling rate. - file_type: - x-name: file_type - type: string - default: true - example: wav - description: |+ - Input file extension. - - Currently supported formats: .wav - threshold: - x-name: threshold - type: number - format: float - default: true - example: 0.4 - description: |+ - 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. - versions: - type: object - properties: - v1.2.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 09, 2021 - x-details: Vad bug fix - description: Latest Version - v1.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: Depreciating on Nov 08, 2021 - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 - - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 14, 2019 - x-details: Initial version release - description: Archived - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: ASR with Voice Activity Detection ENG + description: |+ + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case + The length of your audio should be **up to 60 seconds**. + version: '1.2.1' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". + x-subscribelink: asr_with_voice_activity_detection_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Combines Voice Activity Detection feature and Automatic Speech Recognition capabilities for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.2.1" + description: "Published Date - Nov 09, 2021" +paths: + /microservices/voice/vadasr/v1/getpredictions: + post: + tags: + - v1.2.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: + - seqNum: 1 + start: 0.64 + end: 23.72 + text: HELLO WORLD + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: [{end: 23.72,seqNum: 1,start: 0.64,text: HELLO WORLD }] + description: List of details of start and end time of utterances in the input audio + items: + oneOf: + - type: object + properties: + end: + type: string + example: 23.72 + description: End time of utterance + seqNum: + type: string + example: 1 + description: Running sequence number starts from 1. + start: + type: integer + example: 0.64 + description: Start time of utterance + text: + type: string + description: Converted text from the input audio file + example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - model + - wav_base64 + properties: + model: + x-name: model + type: string + default: true + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. + + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: |+ + Input audio wav file in base64 format. + + Mono channel, 8kHz / 16kHz sampling rate. + file_type: + x-name: file_type + type: string + default: true + example: wav + description: |+ + Input file extension. + + Currently supported formats: .wav + threshold: + x-name: threshold + type: number + format: float + default: true + example: 0.4 + description: |+ + 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + versions: + type: object + properties: + v1.2.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 09, 2021 + x-details: Vad bug fix + description: Latest Version + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Depreciating on Nov 08, 2021 + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 14, 2019 + x-details: Initial version release + description: Archived + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index d6c14b71f..155d47dba 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -1,511 +1,513 @@ -openapi: 3.0.1 -info: - title: ASR with Voice Activity Detection ENG (Large)) - description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - - This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. - - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. - version: '0.1.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - x-subscribelink: asr_with_voice_activity_detection_eng - x-apitype: large file - x-apitypedescription: |+ - Asyncronous | Batch | 10GB/File - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 60 seconds. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 11, 2021" -paths: - /async/microservices/voice/vadasr/v0/getuploadurl: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - fields: - content-type: audio/mpeg - key: >- - 309/495/lp-vadasr/input/113test_7c949f4a2cdd4cfc87de9a66cbe53eea.mp3 - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211217/auto/storage/goog4_request - x-goog-date: 20211217T054423Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: '0bb7339b0c4e476c9b6475e09034e233' - x-goog-meta-uuid: 7c949f4a2cdd4cfc87de9a66cbe53eea - x-goog-signature: >- - 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 - jid: 7c949f4a2cdd4cfc87de9a66cbe53eea - request_cost: 7.9361 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - /upload: - post: - servers: - - url: 'https://storage.googleapis.com/user_space_dev/' - description: Override base path for the GET /ping operation - tags: - - v0.1.0 - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/uploadinput' - required: true - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - /async/microservices/nlp/textsummarisation/v0/getstatus: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: jid - schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: 'Dec 17, 2021' - message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-vadasr/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.0298 - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated - message: - type: string - example: File Processing Successfully Started - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Processing - description: Detail description on the API status - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - fields: - type: object - example: { "" } - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 23, 2021 - x-details: Initial version release - description: Archived - input: - type: object - required: - - file_name - properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size - file_name: - x-name: file_name - type: string - default: true - format: binary - example: 'test.txt' - description: |+ - File name - content_type: - x-name: content_type - type: string - default: true - example: 'text/plain' - description: |+ - Content type - uploadinput: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: sample.wav - description: file - content-type: - type: string - default: false - example: application/pdf - description: Fields - key: - type: string - default: false - example: 1757/2531/lp-vadasr/input/4test_61c2cadaaae5479fa24494a8a073b86c.wav - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: {\"password\": \"fffff\"} - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 1 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 2 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 - description: Fields - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: ASR with Voice Activity Detection ENG (Large)) + description: |+ + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + + This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. + + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + version: '0.1.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". + x-subscribelink: asr_with_voice_activity_detection_eng + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Combines Voice Activity Detection feature and Automatic Speech Recognition capabilities for Larger Files. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 11, 2021" +paths: + /async/microservices/voice/vadasr/v0/getuploadurl: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/mpeg + key: >- + 309/495/lp-vadasr/input/113test_7c949f4a2cdd4cfc87de9a66cbe53eea.mp3 + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211217/auto/storage/goog4_request + x-goog-date: 20211217T054423Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: '0bb7339b0c4e476c9b6475e09034e233' + x-goog-meta-uuid: 7c949f4a2cdd4cfc87de9a66cbe53eea + x-goog-signature: >- + 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 + jid: 7c949f4a2cdd4cfc87de9a66cbe53eea + request_cost: 7.9361 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/nlp/textsummarisation/v0/getstatus: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 17, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-vadasr/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.0298 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 23, 2021 + x-details: Initial version release + description: Archived + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: |+ + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: 'test.txt' + description: |+ + File name + content_type: + x-name: content_type + type: string + default: true + example: 'text/plain' + description: |+ + Content type + uploadinput: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: application/pdf + description: Fields + key: + type: string + default: false + example: 1757/2531/lp-vadasr/input/4test_61c2cadaaae5479fa24494a8a073b86c.wav + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: {\"password\": \"fffff\"} + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 1 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 2 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml index b3eb56559..d68ebd089 100644 --- a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml +++ b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml @@ -1,305 +1,307 @@ -openapi: 3.0.1 -info: - title: ASR with Voice Activity Detection ENG - description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - - This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. - - The length of your audio should be **upto 60 seconds**. - version: '0.1.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - x-subscribelink: asr_with_voice_activity_detection_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 60sec/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 60 seconds. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 14, 2019" -paths: - /microservices/voice/vadasr/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: OK - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - - seqNum: 1 - start: 0.64 - end: 23.72 - text: HELLO WORLD - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - end: - type: string - example: 23.72 - description: End time of utterance - seqNum: - type: string - example: 1 - description: Running sequence number starts from 1. - start: - type: float - example: 0.64 - description: Start time of utterance - text: - type: string - description: Converted text from the input audio file - example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - wav_base64 - properties: - model: - x-name: model - type: string - default: true - example: news_parliament - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - - 1. news_parliament - 16 kHz, mono channel, .wav format. Trained on Singapore news and parliament corpus. - 2. nsc_parliament - 16 kHz, mono channel, .wav format. Trained on National Speech Corpus and parliament corpus. - 3. nscfull_8k - 8 kHz, mono channel, .wav format. Trained on National Speech Corpus. Trained on Full National Speech Corpus corpus. - wav_base64: - x-name: wav_base64 - type: string - default: true - example: https://api.sentient.io/test2.wav or UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: |+ - Input audio wav file in base64 format. - - Mono channel, 8kHz / 16kHz sampling rate. - file_type: - x-name: file_type - type: string - default: true - example: wav - description: |+ - Input file extension. - - Currently supported formats: .wav - vad_threshold: - x-name: vad_threshold - type: float - format: float - default: true - example: 0.4 - description: |+ - 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. - versions: - type: object - properties: - v1.2.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 09, 2021 - x-details: Vad bug fix - description: Latest Version - v1.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: Depreciating on Nov 08, 2021 - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 - - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 14, 2019 - x-details: Initial version release - description: Archived - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: ASR with Voice Activity Detection ENG + description: |+ + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + + This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. + + The length of your audio should be **upto 60 seconds**. + version: '0.1.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". + x-subscribelink: asr_with_voice_activity_detection_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Combines Voice Activity Detection feature and Automatic Speech Recognition capabilities for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 14, 2019" +paths: + /microservices/voice/vadasr/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: OK + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + - seqNum: 1 + start: 0.64 + end: 23.72 + text: HELLO WORLD + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + end: + type: string + example: 23.72 + description: End time of utterance + seqNum: + type: string + example: 1 + description: Running sequence number starts from 1. + start: + type: float + example: 0.64 + description: Start time of utterance + text: + type: string + description: Converted text from the input audio file + example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - wav_base64 + properties: + model: + x-name: model + type: string + default: true + example: news_parliament + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. news_parliament - 16 kHz, mono channel, .wav format. Trained on Singapore news and parliament corpus. + 2. nsc_parliament - 16 kHz, mono channel, .wav format. Trained on National Speech Corpus and parliament corpus. + 3. nscfull_8k - 8 kHz, mono channel, .wav format. Trained on National Speech Corpus. Trained on Full National Speech Corpus corpus. + wav_base64: + x-name: wav_base64 + type: string + default: true + example: https://api.sentient.io/test2.wav or UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: |+ + Input audio wav file in base64 format. + + Mono channel, 8kHz / 16kHz sampling rate. + file_type: + x-name: file_type + type: string + default: true + example: wav + description: |+ + Input file extension. + + Currently supported formats: .wav + vad_threshold: + x-name: vad_threshold + type: float + format: float + default: true + example: 0.4 + description: |+ + 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + versions: + type: object + properties: + v1.2.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 09, 2021 + x-details: Vad bug fix + description: Latest Version + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Depreciating on Nov 08, 2021 + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 14, 2019 + x-details: Initial version release + description: Archived + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index bf4ba1121..a55d9e81e 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -1,268 +1,270 @@ -openapi: 3.0.1 -info: - title: Automatic Speech Recognition CHI - description: |+ - This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text. This microservice works best when the audio file consists of mostly speech with no long pauses in between. - - The length of your audio should be **up to 20 seconds**. - x-additionalinfo: |+ - Suggested Use Cases: - - Extraction of text from Mandarin speech from audio files. - - - Extraction of text from Mandarin speech from videos. - - - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. - - - Enable voice control services - e.g. implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” - - - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. - version: '1.0.0' - x-subscribelink: automatic_speech_recognition_chi - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 20sec/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 20 seconds. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 07, 2021" -paths: - /microservices/voice/asrsch/v1/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - status: Success - results: - output: "和 许诺 的 含着 那 主力 候补 含住 探测 好的 海里 的 非礼" - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: output object - example: {""} - properties: - output: - type: string - example: 和 许诺 的 含着 那 主力 候补 含住 探测 好的 海里 的 非礼 - description: converted text - status: - type: string - example: Success - description: The status of the API call success/failure - message: - type: string - example: Successfully Processed - description: Status Message - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - wav_base64 - properties: - wav_base64: - x-name: wav_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input audio file in base64 format. - - Input file needs to be prefixed by the data type and encoding. - - - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: Standardizing Input and Output Updated. - description: Latest Version - v0.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 28, 2018 - x-details: Patch update on bug fixes - description: Depreciating on Apr 06, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 21, 2018 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Automatic Speech Recognition CHI + description: |+ + This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text. This microservice works best when the audio file consists of mostly speech with no long pauses in between. + + The length of your audio should be **up to 20 seconds**. + x-additionalinfo: |+ + Suggested Use Cases: + - Extraction of text from Mandarin speech from audio files. + + - Extraction of text from Mandarin speech from videos. + + - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. + + - Enable voice control services - e.g. implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” + + - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. + version: '1.0.0' + x-subscribelink: automatic_speech_recognition_chi + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 20sec/Call + x-inputfilelimit: |+ + Process up to 20 seconds of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 20 seconds. + x-apidetailsdesc: |+ + Transcribes Mandarin speech content for CHI audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 07, 2021" +paths: + /microservices/voice/asrsch/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + results: + output: "和 许诺 的 含着 那 主力 候补 含住 探测 好的 海里 的 非礼" + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: output object + example: {""} + properties: + output: + type: string + example: 和 许诺 的 含着 那 主力 候补 含住 探测 好的 海里 的 非礼 + description: converted text + status: + type: string + example: Success + description: The status of the API call success/failure + message: + type: string + example: Successfully Processed + description: Status Message + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - wav_base64 + properties: + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input audio file in base64 format. + + Input file needs to be prefixed by the data type and encoding. + + + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Standardizing Input and Output Updated. + description: Latest Version + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 28, 2018 + x-details: Patch update on bug fixes + description: Depreciating on Apr 06, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 21, 2018 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/automatic_speech_recognition_chi_v0.1.yaml b/voice/automatic_speech_recognition_chi_v0.1.yaml index 6dc74bcfc..c793387ec 100644 --- a/voice/automatic_speech_recognition_chi_v0.1.yaml +++ b/voice/automatic_speech_recognition_chi_v0.1.yaml @@ -1,264 +1,266 @@ -openapi: 3.0.1 -info: - title: Automatic Speech Recognition CHI - description: |+ - This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text. This microservice works best when the audio file consists of mostly speech with no long pauses in between. - The length of your audio should be **up to 20 seconds**. - x-additionalinfo: |+ - Suggested Use Cases: - - Extraction of text from Mandarin speech from audio files. - - - Extraction of text from Mandarin speech from videos. - - - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. - - - Enable voice control services - e.g. implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” - - - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. - version: '0.1.1' - x-subscribelink: automatic_speech_recognition_chi - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 20sec/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 20 seconds. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.1" - description: "Published Date - Sep 28, 2018" -paths: - /microservices/voice/asrsch/v0.1/getpredictions: - post: - tags: - - v0.1.1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: "各位同学朋友老师教授大家好我叫墓园" - status: success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: 各位同学朋友老师教授大家好我叫墓园 - description: Converted Text - status: - type: string - example: success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - audio - properties: - audio: - x-name: audio - type: string - default: true - example: data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input audio file in base64 format. - - Input file needs to be prefixed by the data type and encoding. - - Data:audio/wav;base64, - language: - x-name: language - type: string - default: true - example: 1 - description: |+ - Language setting: - 1 Mandarin - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: Standardizing Input and Output Updated. - description: Latest Version - v0.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 28, 2018 - x-details: Patch update on bug fixes - description: Depreciating on Apr 06, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 21, 2018 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Automatic Speech Recognition CHI + description: |+ + This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text. This microservice works best when the audio file consists of mostly speech with no long pauses in between. + The length of your audio should be **up to 20 seconds**. + x-additionalinfo: |+ + Suggested Use Cases: + - Extraction of text from Mandarin speech from audio files. + + - Extraction of text from Mandarin speech from videos. + + - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. + + - Enable voice control services - e.g. implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” + + - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. + version: '0.1.1' + x-subscribelink: automatic_speech_recognition_chi + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 20sec/Call + x-inputfilelimit: |+ + Process up to 20 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 20 seconds. + x-apidetailsdesc: |+ + Transcribes Mandarin speech content for CHI audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.1" + description: "Published Date - Sep 28, 2018" +paths: + /microservices/voice/asrsch/v0.1/getpredictions: + post: + tags: + - v0.1.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: "各位同学朋友老师教授大家好我叫墓园" + status: success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: 各位同学朋友老师教授大家好我叫墓园 + description: Converted Text + status: + type: string + example: success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - audio + properties: + audio: + x-name: audio + type: string + default: true + example: data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input audio file in base64 format. + + Input file needs to be prefixed by the data type and encoding. + + Data:audio/wav;base64, + language: + x-name: language + type: string + default: true + example: 1 + description: |+ + Language setting: + 1 Mandarin + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Standardizing Input and Output Updated. + description: Latest Version + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 28, 2018 + x-details: Patch update on bug fixes + description: Depreciating on Apr 06, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 21, 2018 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 11cdeec92..5ce73bd73 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -1,324 +1,326 @@ -openapi: 3.0.1 -info: - title: Automatic Speech Recognition ENG - description: |+ - This Voice microservice transcribes the input audio stream into text. - - This microservice performs well on Singaporean-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament and nscfull_8k. - - The length of your audio should be **up to 60 seconds**. - version: '0.1.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands. - x-subscribelink: automatic_speech_recognition_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 60sec/Call - x-inputfilelimit: |+ - Process up to 20000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 60 seconds. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 03, 2020" -paths: - /microservices/voice/asr/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - - seqNum: 1 - start: 1.0 - end: 4.0 - text: HELLO WORLD - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: array - example: [{ "" }] - description: List of Json Objects - items: - oneOf: - - type: object - example: {seqNum: 1,start: 1.0,end: 4.0,text: HELLO WORLD} - properties: - end: - type: float - format: float - example: 23.72 - description: End time of utterance in seconds - seqNum: - type: integer - example: 1 - description: Running sequence. Starts from 1. - start: - type: float - format: float - example: 0.64 - description: Start time of utterance in seconds - text: - type: string - description: Converted text from the input audio file - example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - model - - wav_base64 - properties: - model: - x-name: model - type: string - default: true - example: nsc_parliament - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - - 1. news_parliament - 16 kHz, mono channel, .wav format. Trained on Singapore news and parliament corpus. - 2. nsc_parliament - 16 kHz, mono channel, .wav format. Trained on National Speech Corpus and parliament corpus. - 3. nscfull_8k - 8 kHz, mono channel, .wav format. Trained on National Speech Corpus. Trained on Full National Speech Corpus corpus. - wav_base64: - x-name: wav_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input wav file in base64 format. - srt: - x-name: srt - type: array - default: false - example: [{seqNum: 1,start: 1.0,end: 4.0}] - description: |+ - Optional. An ordered array of utterance struct. Used for time-coding. - items: - oneOf: - - type: object - properties: - end: - x-name: end - type: float - format: float - default: false - example: "4.0" - description: |+ - "End time of utterance, in seconds. Offset from the start of stream." - seqNum: - x-name: seqNum - type: integer - default: false - example: "1" - description: |+ - "Running sequence. Starts from 1." - start: - x-name: start - type: float - format: float - default: false - example: "1.0" - description: |+ - "Start time of utterance, in seconds. Offset from the start of stream." - versions: - type: object - properties: - v1.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: Latest Version - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 - - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 03, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: Automatic Speech Recognition ENG + description: |+ + This Voice microservice transcribes the input audio stream into text. + + This microservice performs well on Singaporean-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament and nscfull_8k. + + The length of your audio should be **up to 60 seconds**. + version: '0.1.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands. + x-subscribelink: automatic_speech_recognition_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 03, 2020" +paths: + /microservices/voice/asr/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + - seqNum: 1 + start: 1.0 + end: 4.0 + text: HELLO WORLD + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: array + example: [{ "" }] + description: List of Json Objects + items: + oneOf: + - type: object + example: {seqNum: 1,start: 1.0,end: 4.0,text: HELLO WORLD} + properties: + end: + type: float + format: float + example: 23.72 + description: End time of utterance in seconds + seqNum: + type: integer + example: 1 + description: Running sequence. Starts from 1. + start: + type: float + format: float + example: 0.64 + description: Start time of utterance in seconds + text: + type: string + description: Converted text from the input audio file + example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - model + - wav_base64 + properties: + model: + x-name: model + type: string + default: true + example: nsc_parliament + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. news_parliament - 16 kHz, mono channel, .wav format. Trained on Singapore news and parliament corpus. + 2. nsc_parliament - 16 kHz, mono channel, .wav format. Trained on National Speech Corpus and parliament corpus. + 3. nscfull_8k - 8 kHz, mono channel, .wav format. Trained on National Speech Corpus. Trained on Full National Speech Corpus corpus. + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input wav file in base64 format. + srt: + x-name: srt + type: array + default: false + example: [{seqNum: 1,start: 1.0,end: 4.0}] + description: |+ + Optional. An ordered array of utterance struct. Used for time-coding. + items: + oneOf: + - type: object + properties: + end: + x-name: end + type: float + format: float + default: false + example: "4.0" + description: |+ + "End time of utterance, in seconds. Offset from the start of stream." + seqNum: + x-name: seqNum + type: integer + default: false + example: "1" + description: |+ + "Running sequence. Starts from 1." + start: + x-name: start + type: float + format: float + default: false + example: "1.0" + description: |+ + "Start time of utterance, in seconds. Offset from the start of stream." + versions: + type: object + properties: + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Latest Version + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/voice/automatic_speech_recognition_eng_sg.yaml b/voice/automatic_speech_recognition_eng_sg.yaml index 8735d7031..927546d31 100644 --- a/voice/automatic_speech_recognition_eng_sg.yaml +++ b/voice/automatic_speech_recognition_eng_sg.yaml @@ -1,323 +1,325 @@ -openapi: 3.0.1 -info: - title: ASR with Voice Activity Detection ENG - description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - This microservice can be used on generic English or on specific use cases or accents. There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - - The length of your audio should be **upto 60 seconds**. - version: '1.2.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - x-subscribelink: asr_with_voice_activity_detection_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 60sec/Call - x-inputfilelimit: |+ - Process up to 20000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 60 seconds. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.2.0" - description: "Published Date - Apr 07, 2021" -paths: - /microservices/voice/vadasr/v1/getpredictions: - post: - tags: - - v1.2.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - output: - - seqNum: 1 - start: 0.64 - end: 23.72 - text: HELLO WORLD - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - output: - type: array - example: [{end: 23.72,seqNum: 1,start: 0.64,text: HELLO WORLD }] - description: List of details of start and end time of utterances in the input audio - items: - oneOf: - - type: object - properties: - end: - type: string - example: 23.72 - description: End time of utterance - seqNum: - type: string - example: 1 - description: Running sequence number starts from 1. - start: - type: float - example: 0.64 - description: Start time of utterance - text: - type: string - description: Converted text from the input audio file - example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - model - - wav_base64 - properties: - model: - x-name: model - type: string - default: true - example: generic - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - - 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz - 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. - 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. - - wav_base64: - x-name: wav_base64 - type: string - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: |+ - Input audio wav file in base64 format. - - Mono channel, 8kHz / 16kHz sampling rate. - file_type: - x-name: file_type - type: string - default: true - example: wav - description: |+ - Input file extension. - - Currently supported formats: .wav - threshold: - x-name: threshold - type: float - format: float - default: true - example: 0.4 - description: |+ - 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. - versions: - type: object - properties: - v1.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: Latest Version - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 - - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 14, 2019 - x-details: Initial version release - description: Archived - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: ASR with Voice Activity Detection ENG + description: |+ + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + This microservice can be used on generic English or on specific use cases or accents. There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case + + The length of your audio should be **upto 60 seconds**. + version: '1.2.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". + x-subscribelink: asr_with_voice_activity_detection_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.2.0" + description: "Published Date - Apr 07, 2021" +paths: + /microservices/voice/vadasr/v1/getpredictions: + post: + tags: + - v1.2.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: + - seqNum: 1 + start: 0.64 + end: 23.72 + text: HELLO WORLD + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: [{end: 23.72,seqNum: 1,start: 0.64,text: HELLO WORLD }] + description: List of details of start and end time of utterances in the input audio + items: + oneOf: + - type: object + properties: + end: + type: string + example: 23.72 + description: End time of utterance + seqNum: + type: string + example: 1 + description: Running sequence number starts from 1. + start: + type: float + example: 0.64 + description: Start time of utterance + text: + type: string + description: Converted text from the input audio file + example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - model + - wav_base64 + properties: + model: + x-name: model + type: string + default: true + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. + + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: |+ + Input audio wav file in base64 format. + + Mono channel, 8kHz / 16kHz sampling rate. + file_type: + x-name: file_type + type: string + default: true + example: wav + description: |+ + Input file extension. + + Currently supported formats: .wav + threshold: + x-name: threshold + type: float + format: float + default: true + example: 0.4 + description: |+ + 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + versions: + type: object + properties: + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Latest Version + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 14, 2019 + x-details: Initial version release + description: Archived + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/automatic_speech_recognition_eng_v0.1.yaml b/voice/automatic_speech_recognition_eng_v0.1.yaml index 0dd4cf765..0b3da35a0 100644 --- a/voice/automatic_speech_recognition_eng_v0.1.yaml +++ b/voice/automatic_speech_recognition_eng_v0.1.yaml @@ -1,215 +1,217 @@ -openapi: 3.0.1 -info: - title: Automatic Speech Recognition ENG - description: |+ - This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. - - The Automatic Speech Recognition (ASR) AI model is employed to understand the mapping of sound features to actual words in English. - - Use this microservice if the audio file consists of mostly speech with no long pauses in between. - version: '0.1' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Pyload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1" - description: "Published Date - Jun 18, 2018" -paths: - /microservices/voice/asreng/v0.1/getpredictions: - post: - tags: - - v0.1 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Hi there - status: success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - x-name: message - type: string - example: Hi there - description: Converted Text - status: - x-name: status - type: string - example: success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - required: - - audio - properties: - audio: - x-name: audio - type: string - default: true - example: data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input file in base64 format and needs to be prefixed by the data type and encoding - data:audio/wav;base64, - versions: - type: object - properties: - v0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 18,2018 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Automatic Speech Recognition ENG + description: |+ + This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. + + The Automatic Speech Recognition (ASR) AI model is employed to understand the mapping of sound features to actual words in English. + + Use this microservice if the audio file consists of mostly speech with no long pauses in between. + version: '0.1' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1" + description: "Published Date - Jun 18, 2018" +paths: + /microservices/voice/asreng/v0.1/getpredictions: + post: + tags: + - v0.1 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Hi there + status: success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + x-name: message + type: string + example: Hi there + description: Converted Text + status: + x-name: status + type: string + example: success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - audio + properties: + audio: + x-name: audio + type: string + default: true + example: data:audio/wav;base64,UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input file in base64 format and needs to be prefixed by the data type and encoding + data:audio/wav;base64, + versions: + type: object + properties: + v0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 18,2018 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/automatic_speech_recognition_eng_v1.0.yaml b/voice/automatic_speech_recognition_eng_v1.0.yaml index 45cbd75d9..b2b88dbca 100644 --- a/voice/automatic_speech_recognition_eng_v1.0.yaml +++ b/voice/automatic_speech_recognition_eng_v1.0.yaml @@ -1,341 +1,343 @@ -openapi: 3.0.1 -info: - title: Automatic Speech Recognition ENG - description: |+ - This Voice microservice transcribes the input audio stream into text. - - This microservice can be used on generic English or on specific use cases or accents. There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - - The length of your audio should be **upto 60 seconds**. - version: '1.2.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands. - x-subscribelink: automatic_speech_recognition_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 60sec/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 60 seconds. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.2.0" - description: "Published Date - Apr 07, 2021" -paths: - /microservices/voice/asr/v1/getpredictions: - post: - tags: - - v1.2.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - output: - - seqNum: 1 - start: 0.64 - end: 23.72 - text: HELLO WORLD - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - output: - type: array - example: [{ "" }] - description: List of Json Objects - items: - oneOf: - - type: object - example: {seqNum: 1,start: 1.0,end: 4.0,text: HELLO WORLD} - properties: - end: - type: float - format: float - example: 23.72 - description: End time of utterance in seconds - seqNum: - type: integer - example: 1 - description: Running sequence. Starts from 1. - start: - type: float - format: float - example: 0.64 - description: Start time of utterance in seconds - text: - type: string - description: Converted text from the input audio file - example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - model - - wav_base64 - properties: - model: - x-name: model - type: string - default: true - example: generic - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - - 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz - 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. - 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. - - wav_base64: - x-name: wav_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Input wav file in base64 format. - srt: - x-name: srt - type: array - default: false - example: [{seqNum: 1,start: 1.0,end: 4.0}] - description: |+ - Optional. An ordered array of utterance struct. Used for time-coding. - items: - oneOf: - - type: object - properties: - end: - x-name: end - type: float - format: float - default: false - example: "4.0" - description: |+ - "End time of utterance, in seconds. Offset from the start of stream." - seqNum: - x-name: seqNum - type: integer - default: false - example: "1" - description: |+ - "Running sequence. Starts from 1." - start: - x-name: start - type: float - format: float - default: false - example: "1.0" - description: |+ - "Start time of utterance, in seconds. Offset from the start of stream." - versions: - type: object - properties: - v1.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: Latest Version - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 - - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 03, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: Automatic Speech Recognition ENG + description: |+ + This Voice microservice transcribes the input audio stream into text. + + This microservice can be used on generic English or on specific use cases or accents. There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case + + The length of your audio should be **upto 60 seconds**. + version: '1.2.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands. + x-subscribelink: automatic_speech_recognition_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.2.0" + description: "Published Date - Apr 07, 2021" +paths: + /microservices/voice/asr/v1/getpredictions: + post: + tags: + - v1.2.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: + - seqNum: 1 + start: 0.64 + end: 23.72 + text: HELLO WORLD + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: [{ "" }] + description: List of Json Objects + items: + oneOf: + - type: object + example: {seqNum: 1,start: 1.0,end: 4.0,text: HELLO WORLD} + properties: + end: + type: float + format: float + example: 23.72 + description: End time of utterance in seconds + seqNum: + type: integer + example: 1 + description: Running sequence. Starts from 1. + start: + type: float + format: float + example: 0.64 + description: Start time of utterance in seconds + text: + type: string + description: Converted text from the input audio file + example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - model + - wav_base64 + properties: + model: + x-name: model + type: string + default: true + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. + + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input wav file in base64 format. + srt: + x-name: srt + type: array + default: false + example: [{seqNum: 1,start: 1.0,end: 4.0}] + description: |+ + Optional. An ordered array of utterance struct. Used for time-coding. + items: + oneOf: + - type: object + properties: + end: + x-name: end + type: float + format: float + default: false + example: "4.0" + description: |+ + "End time of utterance, in seconds. Offset from the start of stream." + seqNum: + x-name: seqNum + type: integer + default: false + example: "1" + description: |+ + "Running sequence. Starts from 1." + start: + x-name: start + type: float + format: float + default: false + example: "1.0" + description: |+ + "Start time of utterance, in seconds. Offset from the start of stream." + versions: + type: object + properties: + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Latest Version + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index b1de10fce..378d447ac 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -1,521 +1,523 @@ -openapi: 3.0.1 -info: - title: Google ASR Large File - description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. - The server returns the recognition result in a JSON format as a response. - - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. - x-additionalinfo: |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files, mp3. - - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - version: '0.1.0' - x-subscribelink: automatic_speech_recognition_chi - x-apitype: large file - x-apitypedescription: |+ - Asyncronous | Batch | 10GB/File - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 60 seconds. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Aug 11, 2021" -paths: - /async/microservices/voice/googleasr/v0/getuploadurl: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - fields: - content-type: audio/wav - key: >- - 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request - x-goog-date: 20211220T044135Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 - x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f - x-goog-signature: >- - 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 - jid: e4ff367c93664fb9acfa40d9a4c6e43f - request_cost: 0.3323 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - /upload: - post: - servers: - - url: 'https://storage.googleapis.com/user_space_dev/' - description: Override base path for the GET /ping operation - tags: - - v0.1.0 - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/uploadinput' - required: true - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - /async/microservices/voice/googleasr/v0/getstatus: - get: - tags: - - v0.1.0 - parameters: - - in: query - name: jid - schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: 'Dec 20, 2021' - message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.3323 - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated - message: - type: string - example: File Processing Successfully Started - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Processing - description: Detail description on the API status - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - fields: - type: object - example: { "" } - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 23, 2021 - x-details: Initial version release - description: Archived - input: - type: object - required: - - file_name - properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size - file_name: - x-name: file_name - type: string - default: true - format: binary - example: 'test.txt' - description: |+ - File name - content_type: - x-name: content_type - type: string - default: true - example: 'text/plain' - description: |+ - Content type - uploadinput: - type: object - required: - - filePath - properties: - fields: - type: object - example: - - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb25... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211220T044135Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 309 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: 4b82151d31e0429ba28f3ad1525c3aa6 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: e4ff367c93664fb9acfa40d9a4c6e43f - description: Google algorithm - x-goog-signature: - type: string - example: 53976156d99fe7521e373c45d9e5056a420d25... - description: Google algorithm - jid: - type: string - example: e4ff367c93664fb9acfa40d9a4c6e43f - description: Google algorithm - request_cost: - type: string - example: 0.3323 - description: Google algorithm - url: - type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Google ASR Large File + description: |+ + This Voice microservice takes in the input audio file and supports recognizing a short speech . + The server returns the recognition result in a JSON format as a response. + + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + x-additionalinfo: |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files, mp3. + - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. + version: '0.1.0' + x-subscribelink: automatic_speech_recognition_chi + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Supports recognizing speech for larger audio files. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 11, 2021" +paths: + /async/microservices/voice/googleasr/v0/getuploadurl: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T044135Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 + x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f + x-goog-signature: >- + 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 + jid: e4ff367c93664fb9acfa40d9a4c6e43f + request_cost: 0.3323 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/googleasr/v0/getstatus: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 20, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=2f0c7f17542780ba14c1b384ff5f82f27c5b3cf71eaa7abc0c720dbde37ab16123be9e9e42c16eaa6ac7390df9e98cd94884759622c78a7b85f06103220cff40ff8f1af74671e3aa9ee281fabfa7cf1f7a20acd598a488a0e6ad1d58f5a96b950671a7e685329f7f6b365e2c908fa77480515bcecc5624e611f41a41362bb81c5cb8c9649fdea0a427e30675266dd667d3805b4516d1eb1e80ead107ce521555d166a0688b3682336dcb1103a8125cabf92c30fdd111de9f5944832e3d6aa4a9f695b6fc6aa6dc342ac573f1c9c44064e2fe75618b5df25b82c43d27bb55027c9f4cdf09f340980d118851e005aca354fa8410584cc004d9bd621e41c0bf260c + request_cost: 0.3323 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 23, 2021 + x-details: Initial version release + description: Archived + input: + type: object + required: + - file_name + properties: + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: |+ + File Size + file_name: + x-name: file_name + type: string + default: true + format: binary + example: 'test.txt' + description: |+ + File name + content_type: + x-name: content_type + type: string + default: true + example: 'text/plain' + description: |+ + Content type + uploadinput: + type: object + required: + - filePath + properties: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb25... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T044135Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: 4b82151d31e0429ba28f3ad1525c3aa6 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + x-goog-signature: + type: string + example: 53976156d99fe7521e373c45d9e5056a420d25... + description: Google algorithm + jid: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + request_cost: + type: string + example: 0.3323 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/online_automatic_speech_recognition_eng.yaml b/voice/online_automatic_speech_recognition_eng.yaml index 5db1e73f1..582e742c9 100644 --- a/voice/online_automatic_speech_recognition_eng.yaml +++ b/voice/online_automatic_speech_recognition_eng.yaml @@ -1,47 +1,49 @@ -# This is a testing yaml file fir MS that does not have a proper yaml documentation -# API Documentation Platfrom will check if the yaml file has a "html" key -# If have "html", will read HTML content and hide all other API documentation element -info: - title: Online Automatic Speech Recognition ENG - description: >- - This Utility microservice converts audio format to the WAV format.

The encoding scheme, bitrate, sample rate of the output WAV are to be specified.

Authentication:

Authentication is done using the x-api-key in the request header. - version: '0.1.1' - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload cannot exceed 10 MB. -servers: - - url: 'wss://onlineasr.sentient.io' -# tags must include in to the documentation, to read the description text for published date -tags: -- name: "v0.1.1" - description: "Published Date - Apr 7, 2021" -html: |+ -
- -
-paths: - /: - post: - tags: - - v0.1.1 -components: - schemas: - versions: - type: object - properties: - v0.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 7, 2021 - x-details: Initial version release - description: Latest Version +# This is a testing yaml file fir MS that does not have a proper yaml documentation +# API Documentation Platfrom will check if the yaml file has a "html" key +# If have "html", will read HTML content and hide all other API documentation element +info: + title: Online Automatic Speech Recognition ENG + description: >- + This Utility microservice converts audio format to the WAV format.

The encoding scheme, bitrate, sample rate of the output WAV are to be specified.

Authentication:

Authentication is done using the x-api-key in the request header. + version: '0.1.1' + x-apitypedescription: |+ + Fast | Single-Call | 60 mins/socket + x-inputfilelimit: |+ + Process up to 60 mins/socket of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per every mins. + x-notes: |+ + Limit cannot exceed 60 mins audio. + x-apidetailsdesc: |+ + Recognize text from streaming audio file upto 60 mins and audio file should be in WAV and 16000 kz. +servers: + - url: 'wss://onlineasr.sentient.io' +# tags must include in to the documentation, to read the description text for published date +tags: +- name: "v0.1.1" + description: "Published Date - Apr 7, 2021" +html: |+ +
+ +
+paths: + /: + post: + tags: + - v0.1.1 +components: + schemas: + versions: + type: object + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 7, 2021 + x-details: Initial version release + description: Latest Version diff --git a/voice/online_command_automatic_speech_recognition_eng.yaml b/voice/online_command_automatic_speech_recognition_eng.yaml index ec74e22b8..4fe2b9216 100644 --- a/voice/online_command_automatic_speech_recognition_eng.yaml +++ b/voice/online_command_automatic_speech_recognition_eng.yaml @@ -1,40 +1,42 @@ -info: - title: Online Command Automatic Speech Recognition ENG - version: '0.1.0' - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload cannot exceed 10 MB. -servers: - - url: 'wss://onlinecommandasr.sentient.io' -# tags must include in to the documentation, to read the description text for published date -tags: -- name: "v0.1.0" - description: "Published Date - Aug 31, 2020" -html: |+ - -paths: - /: - post: - tags: - - v0.1.0 -components: - schemas: - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 31, 2020 - x-details: Initial version release - description: Latest Version +info: + title: Online Command Automatic Speech Recognition ENG + version: '0.1.0' + x-apitypedescription: |+ + Fast | Single-Call | 60 mins/socket + x-inputfilelimit: |+ + Process up to 60 mins/socket of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per every mins. + x-notes: |+ + Limit cannot exceed 60 mins audio. + x-apidetailsdesc: |+ + Recognize text from streaming audio file upto 60 mins and audio file should be in WAV and 16000 kz. +servers: + - url: 'wss://onlinecommandasr.sentient.io' +# tags must include in to the documentation, to read the description text for published date +tags: +- name: "v0.1.0" + description: "Published Date - Aug 31, 2020" +html: |+ + +paths: + /: + post: + tags: + - v0.1.0 +components: + schemas: + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 31, 2020 + x-details: Initial version release + description: Latest Version diff --git a/voice/speaker_diarization.yaml b/voice/speaker_diarization.yaml index a9dac3ad6..a748a662a 100644 --- a/voice/speaker_diarization.yaml +++ b/voice/speaker_diarization.yaml @@ -1,259 +1,261 @@ - -openapi: 3.0.1 -info: - title: Speaker Diarization - description: |+ - This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. - Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". - - version: v0.1.0 - x-subscribelink: speaker_diarization - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 09, 2021" -paths: - /microservices/voice/nsd/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - label: speaker_0 - start: 0.4 - stop: 2.62 - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - label: - description: Identified speaker - example: speaker_0 - type: string - start: - description: Start time in seconds - example: 0.4 - type: float - stop: - description: Stop time in seconds - example: 2.62 - type: float - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 09, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - default: True - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Base64 string of the input audio - exact_speaker_count: - x-name: exact_speaker_count - type: number - default: False - example: 2 - description: |+ - Number of speakers in the audio, known in advance by the user. - max_speaker_count: - x-name: max_speaker_count - type: number - default: False - example: 2 - description: |+ - Maximum number of speakers in the audio. Default value is 20 - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Speaker Diarization + description: |+ + This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. + Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". + + version: v0.1.0 + x-subscribelink: speaker_diarization + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Partitions homogenous segments based on speaker identity "who spoke when". +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 09, 2021" +paths: + /microservices/voice/nsd/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + label: speaker_0 + start: 0.4 + stop: 2.62 + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + label: + description: Identified speaker + example: speaker_0 + type: string + start: + description: Start time in seconds + example: 0.4 + type: float + stop: + description: Stop time in seconds + example: 2.62 + type: float + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 09, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + default: True + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Base64 string of the input audio + exact_speaker_count: + x-name: exact_speaker_count + type: number + default: False + example: 2 + description: |+ + Number of speakers in the audio, known in advance by the user. + max_speaker_count: + x-name: max_speaker_count + type: number + default: False + example: 2 + description: |+ + Maximum number of speakers in the audio. Default value is 20 + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 2118fb68d..10aa970b5 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -1,312 +1,314 @@ - -openapi: 3.0.1 -info: - title: Text-To-Speech ENG - description: |+ - This Voice microservice converts English text to speech in a female voice. - User can adjust the pitch and tempo of the the synthesised speech. - The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. - - The input text should not exceed **3000 characters**. - version: 1.2.1 - x-subscribelink: text-to-speech_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 3000 characters. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v1.2.1" - description: "Published Date - Dec 25, 2021" -paths: - /microservices/voice/ttseng/v1/getpredictions: - post: - tags: - - v1.2.1 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - sampling_rate: 22050 - wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - sampling_rate: - description: Sample rate of the output audio. Should come only for female_generic - example: 16000 - type: integer - wav_base64: - description: Base64 string of the generated audio from input text - example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - type: string - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.2.1: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Dec 25,2021' - x-details: Model update - description: Latest Version - v1.1.1: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Nov 09,2021' - x-details: Model improvement with improved enunciation of acronyms. - description: Latest Version - v1.0.1: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Oct 13,2021' - x-details: Support more input characters. Improve model release. - description: Depreciating on Nov 08, 2021 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Jun 7,2021' - x-details: New model release - female_singaporean - description: Depreciating on Oct 12, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 28,2018' - x-details: Initial version release - description: Archived - input: - type: object - required: - - - text - - model - - properties: - text: - x-name: text - type: string - default: True - example: I want a credit card. - description: |+ - Input text to be synthesised - model: - x-name: model - type: string - default: True - example: female_singaporean - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - The default model is female_singaporean - 1. female_generic - 2. female_singaporean - pitch_scale: - x-name: pitch_scale - type: float - format: float - default: False - example: 1 - description: |+ - The pitch factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. - **used only for the female_singaporean model - tempo_scale: - x-name: tempo_scale - type: float - format: float - default: False - example: 1 - description: |+ - The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. - **used only for the female_singaporean model - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Text-To-Speech ENG + description: |+ + This Voice microservice converts English text to speech in a female voice. + User can adjust the pitch and tempo of the the synthesised speech. + The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. + + The input text should not exceed **3000 characters**. + version: 1.2.1 + x-subscribelink: text-to-speech_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3000 characters/Call + x-inputfilelimit: |+ + Process up to 3000 characters of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 3000 characters. + x-apidetailsdesc: |+ + Converts English text to speech in a female voice. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.2.1" + description: "Published Date - Dec 25, 2021" +paths: + /microservices/voice/ttseng/v1/getpredictions: + post: + tags: + - v1.2.1 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + sampling_rate: 22050 + wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + sampling_rate: + description: Sample rate of the output audio. Should come only for female_generic + example: 16000 + type: integer + wav_base64: + description: Base64 string of the generated audio from input text + example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.2.1: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Dec 25,2021' + x-details: Model update + description: Latest Version + v1.1.1: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Nov 09,2021' + x-details: Model improvement with improved enunciation of acronyms. + description: Latest Version + v1.0.1: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Oct 13,2021' + x-details: Support more input characters. Improve model release. + description: Depreciating on Nov 08, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Jun 7,2021' + x-details: New model release - female_singaporean + description: Depreciating on Oct 12, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 28,2018' + x-details: Initial version release + description: Archived + input: + type: object + required: + + - text + - model + + properties: + text: + x-name: text + type: string + default: True + example: I want a credit card. + description: |+ + Input text to be synthesised + model: + x-name: model + type: string + default: True + example: female_singaporean + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + The default model is female_singaporean + 1. female_generic + 2. female_singaporean + pitch_scale: + x-name: pitch_scale + type: float + format: float + default: False + example: 1 + description: |+ + The pitch factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. + **used only for the female_singaporean model + tempo_scale: + x-name: tempo_scale + type: float + format: float + default: False + example: 1 + description: |+ + The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. + **used only for the female_singaporean model + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/text-to-speech_eng_ncs.yaml b/voice/text-to-speech_eng_ncs.yaml index 2ed3dbe82..c3005766f 100644 --- a/voice/text-to-speech_eng_ncs.yaml +++ b/voice/text-to-speech_eng_ncs.yaml @@ -1,288 +1,289 @@ -openapi: 3.0.1 -info: - title: Text-To-Speech ENG - description: |+ - This Voice microservice converts English text into natural-sounding English speech in a female voice. - User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. - The input text should not exceed **2000 characters**. - version: 1.0.0 - x-subscribelink: text-to-speech_eng - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload cannot exceed 10 MB. -servers: - - url: 'http://tts.sentient.io:5000' -tags: -- name: "v1.0.0" - description: "Published Date - Jun 7, 2021" -paths: - /predict: - post: - tags: - - v1.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - sampling_rate: 22050 - wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - sampling_rate: - description: Sample rate of the output audio - example: 22050 - type: integer - wav_base64: - description: Base64 string of the generated audio from input text - example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - type: string - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Jun 7,2021' - x-details: New model release - female_singaporean - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 28,2018' - x-details: Initial version release - description: Archived - input: - type: object - required: - - - text - - model - - properties: - text: - x-name: text - type: string - default: True - example: Arrange a meeting with... Linda Tan on 10:30 p.m. Next Wednesday. - description: |+ - Input text to be synthesised - pitch_scale: - x-name: pitch_scale - type: integer - format: float - default: False - example: 1 - description: |+ - The pitch factor for the synthesized voice. It ranges between 0.5 and 1.5 and default is 1. - 1 means default pitch, 0.5 means half pitch, 2 means twice the pitch - **used only for the female_singaporean model - tempo_scale: - x-name: tempo_scale - type: integer - format: float - default: False - example: 1 - description: |+ - The speed factor for the synthesized voice. It ranges between 0.5 and 2 and default is 1. - 1 means default speed, 0.5 is half speed, 2 is twice the speed - **used only for the female_singaporean model - return_type: - x-name: return_type - type: string - format: string - default: True - example: base64 - description: |+ - Specifies the return format of the audio. Supported options are: - - 1. base64 - 2. wav - 3. streaming_wav - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Text-To-Speech ENG + description: |+ + This Voice microservice converts English text into natural-sounding English speech in a female voice. + User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. + The input text should not exceed **2000 characters**. + version: 1.0.0 + x-subscribelink: text-to-speech_eng + x-apitypedescription: |+ + Fast | Single-Call | 3000 characters/Call + x-inputfilelimit: |+ + Process up to 3000 characters of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 3000 characters. + x-apidetailsdesc: |+ + Converts English text to speech in a female voice. + - url: 'http://tts.sentient.io:5000' +tags: +- name: "v1.0.0" + description: "Published Date - Jun 7, 2021" +paths: + /predict: + post: + tags: + - v1.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + sampling_rate: 22050 + wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + sampling_rate: + description: Sample rate of the output audio + example: 22050 + type: integer + wav_base64: + description: Base64 string of the generated audio from input text + example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Jun 7,2021' + x-details: New model release - female_singaporean + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 28,2018' + x-details: Initial version release + description: Archived + input: + type: object + required: + + - text + - model + + properties: + text: + x-name: text + type: string + default: True + example: Arrange a meeting with... Linda Tan on 10:30 p.m. Next Wednesday. + description: |+ + Input text to be synthesised + pitch_scale: + x-name: pitch_scale + type: integer + format: float + default: False + example: 1 + description: |+ + The pitch factor for the synthesized voice. It ranges between 0.5 and 1.5 and default is 1. + 1 means default pitch, 0.5 means half pitch, 2 means twice the pitch + **used only for the female_singaporean model + tempo_scale: + x-name: tempo_scale + type: integer + format: float + default: False + example: 1 + description: |+ + The speed factor for the synthesized voice. It ranges between 0.5 and 2 and default is 1. + 1 means default speed, 0.5 is half speed, 2 is twice the speed + **used only for the female_singaporean model + return_type: + x-name: return_type + type: string + format: string + default: True + example: base64 + description: |+ + Specifies the return format of the audio. Supported options are: + + 1. base64 + 2. wav + 3. streaming_wav + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/text-to-speech_eng_ncs_v0.2.yaml b/voice/text-to-speech_eng_ncs_v0.2.yaml index b2b24bb7b..40cb3bc67 100644 --- a/voice/text-to-speech_eng_ncs_v0.2.yaml +++ b/voice/text-to-speech_eng_ncs_v0.2.yaml @@ -1,267 +1,269 @@ - -openapi: 3.0.1 -info: - title: Text-To-Speech ENG - description: |+ - This Voice microservice converts English text into natural-sounding English speech in a female voice. - - User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. - - The input text should not exceed **2000 characters**. - version: 1.0.0 - x-subscribelink: text-to-speech_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 2000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Jun 7, 2021" -paths: - /microservices/voice/ttseng/ncsv0/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - sampling_rate: 22050 - wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - sampling_rate: - description: Sample rate of the output audio - example: 22050 - type: integer - wav_base64: - description: Base64 string of the generated audio from input text - example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - type: string - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Jun 7,2021' - description: New model release - female_singaporean - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 28,2018' - description: Initial version release - input: - type: object - required: - - - text - - model - - properties: - text: - x-name: text - type: string - default: True - example: I want a credit card - description: |+ - Input text to be synthesised - model: - x-name: model - type: string - default: True - example: female_singaporean - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - - 1. female_singaporean - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Text-To-Speech ENG + description: |+ + This Voice microservice converts English text into natural-sounding English speech in a female voice. + + User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. + + The input text should not exceed **2000 characters**. + version: 1.0.0 + x-subscribelink: text-to-speech_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3000 characters/Call + x-inputfilelimit: |+ + Process up to 3000 characters of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 3000 characters. + x-apidetailsdesc: |+ + Converts English text to speech in a female voice. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Jun 7, 2021" +paths: + /microservices/voice/ttseng/ncsv0/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + sampling_rate: 22050 + wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + sampling_rate: + description: Sample rate of the output audio + example: 22050 + type: integer + wav_base64: + description: Base64 string of the generated audio from input text + example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Jun 7,2021' + description: New model release - female_singaporean + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 28,2018' + description: Initial version release + input: + type: object + required: + + - text + - model + + properties: + text: + x-name: text + type: string + default: True + example: I want a credit card + description: |+ + Input text to be synthesised + model: + x-name: model + type: string + default: True + example: female_singaporean + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. female_singaporean + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/text-to-speech_eng_ncs_v0.3.yaml b/voice/text-to-speech_eng_ncs_v0.3.yaml index 7fce7ca9b..ce184d7e1 100644 --- a/voice/text-to-speech_eng_ncs_v0.3.yaml +++ b/voice/text-to-speech_eng_ncs_v0.3.yaml @@ -1,269 +1,271 @@ - -openapi: 3.0.1 -info: - title: Text-To-Speech ENG - description: |+ - This Voice microservice converts English text into natural-sounding English speech in a female voice. - - User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. - - The input text should not exceed **2000 characters**. - version: 1.0.0 - x-subscribelink: text-to-speech_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 2000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Jun 7, 2021" -paths: - /microservices/voice/ttseng/ncstest/getpredictions: - post: - tags: - - v1.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - sampling_rate: 22050 - wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - sampling_rate: - description: Sample rate of the output audio - example: 22050 - type: integer - wav_base64: - description: Base64 string of the generated audio from input text - example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - type: string - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Jun 7,2021' - x-details: New model release - female_singaporean - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 28,2018' - x-details: Initial version release - description: Archived - input: - type: object - required: - - - text - - model - - properties: - text: - x-name: text - type: string - default: True - example: I want a credit card - description: |+ - Input text to be synthesised - model: - x-name: model - type: string - default: True - example: female_singaporean - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - - 1. female_singaporean - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Text-To-Speech ENG + description: |+ + This Voice microservice converts English text into natural-sounding English speech in a female voice. + + User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. + + The input text should not exceed **2000 characters**. + version: 1.0.0 + x-subscribelink: text-to-speech_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3000 characters/Call + x-inputfilelimit: |+ + Process up to 3000 characters of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 3000 characters. + x-apidetailsdesc: |+ + Converts English text to speech in a female voice. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Jun 7, 2021" +paths: + /microservices/voice/ttseng/ncstest/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + sampling_rate: 22050 + wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + sampling_rate: + description: Sample rate of the output audio + example: 22050 + type: integer + wav_base64: + description: Base64 string of the generated audio from input text + example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Jun 7,2021' + x-details: New model release - female_singaporean + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 28,2018' + x-details: Initial version release + description: Archived + input: + type: object + required: + + - text + - model + + properties: + text: + x-name: text + type: string + default: True + example: I want a credit card + description: |+ + Input text to be synthesised + model: + x-name: model + type: string + default: True + example: female_singaporean + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. female_singaporean + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/text-to-speech_eng_ncs_v0.4.yaml b/voice/text-to-speech_eng_ncs_v0.4.yaml index d84c0e974..3eb7a0ecc 100644 --- a/voice/text-to-speech_eng_ncs_v0.4.yaml +++ b/voice/text-to-speech_eng_ncs_v0.4.yaml @@ -1,302 +1,304 @@ - -openapi: 3.0.1 -info: - title: Text-To-Speech ENG - description: |+ - This Voice microservice converts English text into natural-sounding English speech in a female voice. - - User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. - - The input text should not exceed **2000 characters**. - version: 1.0.0 - x-subscribelink: text-to-speech_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 2000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Jun 7, 2021" -paths: - /microservices/utility/ttseng/v0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - sampling_rate: 22050 - wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - sampling_rate: - description: Sample rate of the output audio - example: 22050 - type: integer - wav_base64: - description: Base64 string of the generated audio from input text - example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - type: string - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Jun 7,2021' - x-details: New model release - female_singaporean - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 28,2018' - x-details: Initial version release - description: Archived - input: - type: object - required: - - - text - - model - - properties: - text: - x-name: text - type: string - default: True - example: I want a credit card - description: |+ - Input text to be synthesised - model: - x-name: model - type: string - default: True - example: female_singaporean - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - - 1. female_generic - 2. female_singaporean - pitch_scale: - x-name: pitch_scale - type: integer - format: float - default: False - example: 1 - description: |+ - The pitch factor for the synthesized voice. It ranges between 0.5 and 1.5 and default is 1. - 1 means default pitch, 0.5 means half pitch, 2 means twice the pitch - **used only for the female_singaporean model - tempo_scale: - x-name: tempo_scale - type: integer - format: float - default: False - example: 1 - description: |+ - The speed factor for the synthesized voice. It ranges between 0.5 and 2 and default is 1. - 1 means default speed, 0.5 is half speed, 2 is twice the speed - **used only for the female_singaporean model - return_type: - x-name: return_type - type: string - format: string - default: True - example: base64 - description: |+ - Specifies the return format of the audio. Supported options are: - - 1. base64 - 2. wav - 3. streaming_wav - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Text-To-Speech ENG + description: |+ + This Voice microservice converts English text into natural-sounding English speech in a female voice. + + User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. + + The input text should not exceed **2000 characters**. + version: 1.0.0 + x-subscribelink: text-to-speech_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3000 characters/Call + x-inputfilelimit: |+ + Process up to 3000 characters of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 3000 characters. + x-apidetailsdesc: |+ + Converts English text to speech in a female voice. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Jun 7, 2021" +paths: + /microservices/utility/ttseng/v0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + sampling_rate: 22050 + wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + sampling_rate: + description: Sample rate of the output audio + example: 22050 + type: integer + wav_base64: + description: Base64 string of the generated audio from input text + example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Jun 7,2021' + x-details: New model release - female_singaporean + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 28,2018' + x-details: Initial version release + description: Archived + input: + type: object + required: + + - text + - model + + properties: + text: + x-name: text + type: string + default: True + example: I want a credit card + description: |+ + Input text to be synthesised + model: + x-name: model + type: string + default: True + example: female_singaporean + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. female_generic + 2. female_singaporean + pitch_scale: + x-name: pitch_scale + type: integer + format: float + default: False + example: 1 + description: |+ + The pitch factor for the synthesized voice. It ranges between 0.5 and 1.5 and default is 1. + 1 means default pitch, 0.5 means half pitch, 2 means twice the pitch + **used only for the female_singaporean model + tempo_scale: + x-name: tempo_scale + type: integer + format: float + default: False + example: 1 + description: |+ + The speed factor for the synthesized voice. It ranges between 0.5 and 2 and default is 1. + 1 means default speed, 0.5 is half speed, 2 is twice the speed + **used only for the female_singaporean model + return_type: + x-name: return_type + type: string + format: string + default: True + example: base64 + description: |+ + Specifies the return format of the audio. Supported options are: + + 1. base64 + 2. wav + 3. streaming_wav + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/text_to_speech_chi.yaml b/voice/text_to_speech_chi.yaml index 52497eeb3..8fc542431 100644 --- a/voice/text_to_speech_chi.yaml +++ b/voice/text_to_speech_chi.yaml @@ -1,240 +1,242 @@ -openapi: 3.0.1 -info: - title: Text-To-Speech CHI - description: |+ - This Voice microservice converts Mandarin text to speech in a female voice. - - The Text-to-Speech AI generated synthesized voice speaks with a native Mandarin accent. - - Do ensure that your text is **within 750 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - Voice bots in contact centers - Deliver a better voice experience for customer service by dynamically generating speech, instead of playing static, pre-recorded audio. Engage with synthesized voices that give callers a sense of familiarity and personalization. - - - Voice generation in devices - Enable natural communications with users by empowering your devices to speak humanlike voices. Build an end-to-end voice user interface together with Speech-to-Text and improve user experience with easy and engaging interactions. - - - Accessible EPGs (Electronic Program Guides) - Implement text-to-speech functionality in EPGs to provide a better user experience to customers and meet accessibility requirements for services and applications. - version: '0.1.0' - x-subscribelink: text-to-speech_chi - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more that 750 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 28, 2018" -paths: - /microservices/voice/ttssch/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - audioContent: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the api status - status: - type: string - example: Success - description: The status of the API call success/failure - audioContent: - type: string - example: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= - description: Audio file converted to base64 encoded string. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 28,2018 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: 大家好 我叫 墓园 - description: |+ - Input text - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Text-To-Speech CHI + description: |+ + This Voice microservice converts Mandarin text to speech in a female voice. + + The Text-to-Speech AI generated synthesized voice speaks with a native Mandarin accent. + + Do ensure that your text is **within 750 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - Voice bots in contact centers - Deliver a better voice experience for customer service by dynamically generating speech, instead of playing static, pre-recorded audio. Engage with synthesized voices that give callers a sense of familiarity and personalization. + + - Voice generation in devices - Enable natural communications with users by empowering your devices to speak humanlike voices. Build an end-to-end voice user interface together with Speech-to-Text and improve user experience with easy and engaging interactions. + + - Accessible EPGs (Electronic Program Guides) - Implement text-to-speech functionality in EPGs to provide a better user experience to customers and meet accessibility requirements for services and applications. + version: '0.1.0' + x-subscribelink: text-to-speech_chi + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3000 characters/Call + x-inputfilelimit: |+ + Process up to 3000 characters of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 3000 characters. + x-apidetailsdesc: |+ + Converts Mandarin text to speech in a female voice. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 28, 2018" +paths: + /microservices/voice/ttssch/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + audioContent: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the api status + status: + type: string + example: Success + description: The status of the API call success/failure + audioContent: + type: string + example: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= + description: Audio file converted to base64 encoded string. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 28,2018 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: 大家好 我叫 墓园 + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/text_to_speech_eng_v0.1.yaml b/voice/text_to_speech_eng_v0.1.yaml index 7615d148a..fa500326e 100644 --- a/voice/text_to_speech_eng_v0.1.yaml +++ b/voice/text_to_speech_eng_v0.1.yaml @@ -1,367 +1,369 @@ -openapi: 3.0.1 -info: - title: Text-To-Speech ENG - description: | - "This Voice microservice converts English text into speech in a female voice. - - The Text-to-Speech AI generated synthesized voice speaks with Singapore English accent. - - Do ensure that your text is within **2000 characters**. - x-additionalinfo: |+ - Suggested Use Cases: - - Transcribes spoken English words, sentences or phrases into written forms - - - Voice bots in contact centers - deliver a better voice experience for customer service by dynamically generating speech, instead of playing static, pre-recorded audio. Engage with synthesized voices that give callers a sense of familiarity and personalization. - - - Voice generation in devices - enable natural communications with users by empowering your devices to speak humanlike voices. Build an end-to-end voice user interface together with Speech-to-Text and improve user experience with easy and engaging interactions. - - - Accessible EPGs (Electronic Program Guides) - implement text-to-speech functionality in EPGs to provide a better user experience to customers and meet accessibility requirements for services and applications. - version: '0.1.0' - x-subscribelink: text-to-speech_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 2000 characters. -servers: - - url: 'https://apis.sentient.io' -tags: - - name: v0.1.0 - description: 'Published Date - Sep 28, 2018' -paths: - /microservices/voice/ttseng/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - audioContent: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - x-codeSamples: - - lang: Python + Python3 - source: |- - import http.client - - conn = http.client.HTTPSConnection("apis.sentient.io") - - payload = "{\"text\":\"Testing microservice\"}" - - headers = { - 'content-type': "application/json", - 'x-api-key': "REPLACE_KEY_VALUE" - } - - conn.request("POST", "/microservices/voice/ttseng/v0.1/getpredictions", payload, headers) - - res = conn.getresponse() - data = res.read() - - print(data.decode("utf-8")) - - lang: Csharp + Restsharp - source: |- - var client = new RestClient("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions"); - var request = new RestRequest(Method.POST); - request.AddHeader("content-type", "application/json"); - request.AddHeader("x-api-key", "REPLACE_KEY_VALUE"); - request.AddParameter("application/json", "{\"text\":\"Testing microservice\"}", ParameterType.RequestBody); - IRestResponse response = client.Execute(request); - - lang: Go + Native - source: "package main\n\nimport (\n\t\"fmt\"\n\t\"strings\"\n\t\"net/http\"\n\t\"io/ioutil\"\n)\n\nfunc main() {\n\n\turl := \"https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions\"\n\n\tpayload := strings.NewReader(\"{\\\"text\\\":\\\"Testing microservice\\\"}\")\n\n\treq, _ := http.NewRequest(\"POST\", url, payload)\n\n\treq.Header.Add(\"content-type\", \"application/json\")\n\treq.Header.Add(\"x-api-key\", \"REPLACE_KEY_VALUE\")\n\n\tres, _ := http.DefaultClient.Do(req)\n\n\tdefer res.Body.Close()\n\tbody, _ := ioutil.ReadAll(res.Body)\n\n\tfmt.Println(res)\n\tfmt.Println(string(body))\n\n}" - - lang: Java + Unirest - source: |- - HttpResponse response = Unirest.post("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") - .header("content-type", "application/json") - .header("x-api-key", "REPLACE_KEY_VALUE") - .body("{\"text\":\"Testing microservice\"}") - .asString(); - - lang: Node + Native - source: |- - const http = require("https"); - - const options = { - "method": "POST", - "hostname": "apis.sentient.io", - "port": null, - "path": "/microservices/voice/ttseng/v0.1/getpredictions", - "headers": { - "content-type": "application/json", - "x-api-key": "REPLACE_KEY_VALUE" - } - }; - - const req = http.request(options, function (res) { - const chunks = []; - - res.on("data", function (chunk) { - chunks.push(chunk); - }); - - res.on("end", function () { - const body = Buffer.concat(chunks); - console.log(body.toString()); - }); - }); - - req.write(JSON.stringify({text: 'Testing microservice'})); - req.end(); - - lang: Php + Curl - source: |- - "https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions", - CURLOPT_RETURNTRANSFER => true, - CURLOPT_ENCODING => "", - CURLOPT_MAXREDIRS => 10, - CURLOPT_TIMEOUT => 30, - CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, - CURLOPT_CUSTOMREQUEST => "POST", - CURLOPT_POSTFIELDS => "{\"text\":\"Testing microservice\"}", - CURLOPT_HTTPHEADER => [ - "content-type: application/json", - "x-api-key: REPLACE_KEY_VALUE" - ], - ]); - - $response = curl_exec($curl); - $err = curl_error($curl); - - curl_close($curl); - - if ($err) { - echo "cURL Error #:" . $err; - } else { - echo $response; - } - - lang: Ruby + Native - source: |- - require 'uri' - require 'net/http' - require 'openssl' - - url = URI("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") - - http = Net::HTTP.new(url.host, url.port) - http.use_ssl = true - http.verify_mode = OpenSSL::SSL::VERIFY_NONE - - request = Net::HTTP::Post.new(url) - request["content-type"] = 'application/json' - request["x-api-key"] = 'REPLACE_KEY_VALUE' - request.body = "{\"text\":\"Testing microservice\"}" - - response = http.request(request) - puts response.read_body -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the api status - status: - type: string - example: Success - description: The status of the API call success/failure - audioContent: - type: string - example: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= - description: Audio file converted to base64 encoded string. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - June 7,2021' - x-details: New model release - female_singaporean - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 28,2018' - x-details: Initial version release - description: Archived - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: Testing microservice - description: | - Input text - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Text-To-Speech ENG + description: | + "This Voice microservice converts English text into speech in a female voice. + + The Text-to-Speech AI generated synthesized voice speaks with Singapore English accent. + + Do ensure that your text is within **2000 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - Transcribes spoken English words, sentences or phrases into written forms + + - Voice bots in contact centers - deliver a better voice experience for customer service by dynamically generating speech, instead of playing static, pre-recorded audio. Engage with synthesized voices that give callers a sense of familiarity and personalization. + + - Voice generation in devices - enable natural communications with users by empowering your devices to speak humanlike voices. Build an end-to-end voice user interface together with Speech-to-Text and improve user experience with easy and engaging interactions. + + - Accessible EPGs (Electronic Program Guides) - implement text-to-speech functionality in EPGs to provide a better user experience to customers and meet accessibility requirements for services and applications. + version: '0.1.0' + x-subscribelink: text-to-speech_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3000 characters/Call + x-inputfilelimit: |+ + Process up to 3000 characters of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 3000 characters. + x-apidetailsdesc: |+ + Converts English text to speech in a female voice. +servers: + - url: 'https://apis.sentient.io' +tags: + - name: v0.1.0 + description: 'Published Date - Sep 28, 2018' +paths: + /microservices/voice/ttseng/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + audioContent: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + x-codeSamples: + - lang: Python + Python3 + source: |- + import http.client + + conn = http.client.HTTPSConnection("apis.sentient.io") + + payload = "{\"text\":\"Testing microservice\"}" + + headers = { + 'content-type': "application/json", + 'x-api-key': "REPLACE_KEY_VALUE" + } + + conn.request("POST", "/microservices/voice/ttseng/v0.1/getpredictions", payload, headers) + + res = conn.getresponse() + data = res.read() + + print(data.decode("utf-8")) + - lang: Csharp + Restsharp + source: |- + var client = new RestClient("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions"); + var request = new RestRequest(Method.POST); + request.AddHeader("content-type", "application/json"); + request.AddHeader("x-api-key", "REPLACE_KEY_VALUE"); + request.AddParameter("application/json", "{\"text\":\"Testing microservice\"}", ParameterType.RequestBody); + IRestResponse response = client.Execute(request); + - lang: Go + Native + source: "package main\n\nimport (\n\t\"fmt\"\n\t\"strings\"\n\t\"net/http\"\n\t\"io/ioutil\"\n)\n\nfunc main() {\n\n\turl := \"https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions\"\n\n\tpayload := strings.NewReader(\"{\\\"text\\\":\\\"Testing microservice\\\"}\")\n\n\treq, _ := http.NewRequest(\"POST\", url, payload)\n\n\treq.Header.Add(\"content-type\", \"application/json\")\n\treq.Header.Add(\"x-api-key\", \"REPLACE_KEY_VALUE\")\n\n\tres, _ := http.DefaultClient.Do(req)\n\n\tdefer res.Body.Close()\n\tbody, _ := ioutil.ReadAll(res.Body)\n\n\tfmt.Println(res)\n\tfmt.Println(string(body))\n\n}" + - lang: Java + Unirest + source: |- + HttpResponse response = Unirest.post("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") + .header("content-type", "application/json") + .header("x-api-key", "REPLACE_KEY_VALUE") + .body("{\"text\":\"Testing microservice\"}") + .asString(); + - lang: Node + Native + source: |- + const http = require("https"); + + const options = { + "method": "POST", + "hostname": "apis.sentient.io", + "port": null, + "path": "/microservices/voice/ttseng/v0.1/getpredictions", + "headers": { + "content-type": "application/json", + "x-api-key": "REPLACE_KEY_VALUE" + } + }; + + const req = http.request(options, function (res) { + const chunks = []; + + res.on("data", function (chunk) { + chunks.push(chunk); + }); + + res.on("end", function () { + const body = Buffer.concat(chunks); + console.log(body.toString()); + }); + }); + + req.write(JSON.stringify({text: 'Testing microservice'})); + req.end(); + - lang: Php + Curl + source: |- + "https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions", + CURLOPT_RETURNTRANSFER => true, + CURLOPT_ENCODING => "", + CURLOPT_MAXREDIRS => 10, + CURLOPT_TIMEOUT => 30, + CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, + CURLOPT_CUSTOMREQUEST => "POST", + CURLOPT_POSTFIELDS => "{\"text\":\"Testing microservice\"}", + CURLOPT_HTTPHEADER => [ + "content-type: application/json", + "x-api-key: REPLACE_KEY_VALUE" + ], + ]); + + $response = curl_exec($curl); + $err = curl_error($curl); + + curl_close($curl); + + if ($err) { + echo "cURL Error #:" . $err; + } else { + echo $response; + } + - lang: Ruby + Native + source: |- + require 'uri' + require 'net/http' + require 'openssl' + + url = URI("https://apis.sentient.io/microservices/voice/ttseng/v0.1/getpredictions") + + http = Net::HTTP.new(url.host, url.port) + http.use_ssl = true + http.verify_mode = OpenSSL::SSL::VERIFY_NONE + + request = Net::HTTP::Post.new(url) + request["content-type"] = 'application/json' + request["x-api-key"] = 'REPLACE_KEY_VALUE' + request.body = "{\"text\":\"Testing microservice\"}" + + response = http.request(request) + puts response.read_body +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the api status + status: + type: string + example: Success + description: The status of the API call success/failure + audioContent: + type: string + example: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= + description: Audio file converted to base64 encoded string. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - June 7,2021' + x-details: New model release - female_singaporean + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 28,2018' + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: Testing microservice + description: | + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index 0610e81d7..652872eb6 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -1,261 +1,263 @@ - -openapi: 3.0.1 -info: - title: Text-To-Speech JP - description: |+ - This Voice microservice converts Japanese text into natural-sounding Japanese speech in a female voice. - - User can adjust the pitch and tempo of the the synthesised speech. - - The input text should not exceed **800 characters**. - version: v0.1.0 - x-subscribelink: text-to-speech_jp - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 800 characters. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - May 12, 2021" -paths: - /microservices/voice/ttsjp/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - sampling_rate: 22050 - wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - sampling_rate: - description: Sample rate of the output audio - example: 22050 - type: integer - wav_base64: - description: Base64 string of the generated audio from input text - example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ - type: string - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 12, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - text - - properties: - text: - x-name: text - type: string - default: True - example: こんにちは、元気ですか - description: |+ - Input text to be synthesised - pitch_scale: - x-name: pitch_scale - type: float - format: float - default: False - example: 0.5 - description: |+ - The pitch factor for the synthesized voice. It ranges between 0.5 and 1.5 and default is 1. - 1 means default pitch, 0.5 means half pitch, 2 means twice the pitch - tempo_scale: - x-name: tempo_scale - type: float - format: float - default: False - example: 0.5 - description: |+ - The speed factor for the synthesized voice. It ranges between 0.5 and 2 and default is 1. - 1 means default speed, 0.5 is half speed, 2 is twice the speed - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Text-To-Speech JP + description: |+ + This Voice microservice converts Japanese text into natural-sounding Japanese speech in a female voice. + + User can adjust the pitch and tempo of the the synthesised speech. + + The input text should not exceed **800 characters**. + version: v0.1.0 + x-subscribelink: text-to-speech_jp + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3000 characters/Call + x-inputfilelimit: |+ + Process up to 3000 characters of data per API call. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 3000 characters. + x-apidetailsdesc: |+ + Converts Japanese text to speech in a female voice. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 12, 2021" +paths: + /microservices/voice/ttsjp/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + sampling_rate: 22050 + wav_base64: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + sampling_rate: + description: Sample rate of the output audio + example: 22050 + type: integer + wav_base64: + description: Base64 string of the generated audio from input text + example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 12, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: こんにちは、元気ですか + description: |+ + Input text to be synthesised + pitch_scale: + x-name: pitch_scale + type: float + format: float + default: False + example: 0.5 + description: |+ + The pitch factor for the synthesized voice. It ranges between 0.5 and 1.5 and default is 1. + 1 means default pitch, 0.5 means half pitch, 2 means twice the pitch + tempo_scale: + x-name: tempo_scale + type: float + format: float + default: False + example: 0.5 + description: |+ + The speed factor for the synthesized voice. It ranges between 0.5 and 2 and default is 1. + 1 means default speed, 0.5 is half speed, 2 is twice the speed + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/voice_activity_detection_eng.yaml b/voice/voice_activity_detection_eng.yaml index 2922481bd..24426ede4 100644 --- a/voice/voice_activity_detection_eng.yaml +++ b/voice/voice_activity_detection_eng.yaml @@ -1,287 +1,289 @@ -openapi: 3.0.1 -info: - title: Voice Activity Detection ENG - description: |+ - This Voice microservice detects utterances in the input audio and outputs the start and end time of these utterances. - - An utterance is the smallest unit of speech. It is a continuous piece of speech beginning and ending with a clear pause. - The length of your audio should be **up to 60 seconds**. - version: '1.0.1' - x-additionalinfo: |+ - Suggested Use Cases: - - Narrate a blurb or chunk of text in English - - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. - - Enable voice control - implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” - - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. - x-subscribelink: voice_activity_detection_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 60sec/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 60 seconds. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.1" - description: "Published Date - Nov 09, 2021" -paths: - /microservices/voice/vad/v1/getpredictions: - post: - tags: - - v1.0.1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - output: [{end: 23.72,seqNum: 1,start: 0.64}] - message: Successfully Processed - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - output: - type: array - example: [{end: 23.72,seqNum: 1,start: 0.64}] - description: List of details of start and end time of utterances in the input audio - items: - oneOf: - - type: object - properties: - end: - type: float - format: float - example: 23.72 - description: End time of utterance, in seconds. Offset from the start of stream. - seqNum: - type: integer - example: 1 - description: Running sequence. Starts from 1. - start: - type: float - format: float - example: 0.64 - description: Start time of utterance, in seconds. Offset from the start of stream. - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - required: - - wav_base64 - properties: - wav_base64: - x-name: wav_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Required. Input audio file in base64 format. - threshold: - x-name: threshold - type: float - format: float - default: false - example: 0.2 - description: |+ - Optional. Threshold ranges between 0.0 and 1.0 and default is 0.4 - versions: - type: object - properties: - v1.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 09, 2021 - x-details: Bug fix - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Nov 08, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 03, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Voice Activity Detection ENG + description: |+ + This Voice microservice detects utterances in the input audio and outputs the start and end time of these utterances. + + An utterance is the smallest unit of speech. It is a continuous piece of speech beginning and ending with a clear pause. + The length of your audio should be **up to 60 seconds**. + version: '1.0.1' + x-additionalinfo: |+ + Suggested Use Cases: + - Narrate a blurb or chunk of text in English + - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. + - Enable voice control - implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” + - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. + x-subscribelink: voice_activity_detection_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Detects utterances of input audio and give start/end time of utterances. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.1" + description: "Published Date - Nov 09, 2021" +paths: + /microservices/voice/vad/v1/getpredictions: + post: + tags: + - v1.0.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: [{end: 23.72,seqNum: 1,start: 0.64}] + message: Successfully Processed + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: [{end: 23.72,seqNum: 1,start: 0.64}] + description: List of details of start and end time of utterances in the input audio + items: + oneOf: + - type: object + properties: + end: + type: float + format: float + example: 23.72 + description: End time of utterance, in seconds. Offset from the start of stream. + seqNum: + type: integer + example: 1 + description: Running sequence. Starts from 1. + start: + type: float + format: float + example: 0.64 + description: Start time of utterance, in seconds. Offset from the start of stream. + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - wav_base64 + properties: + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Required. Input audio file in base64 format. + threshold: + x-name: threshold + type: float + format: float + default: false + example: 0.2 + description: |+ + Optional. Threshold ranges between 0.0 and 1.0 and default is 0.4 + versions: + type: object + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 09, 2021 + x-details: Bug fix + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Nov 08, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/voice_activity_detection_eng_v0.1.yaml b/voice/voice_activity_detection_eng_v0.1.yaml index 9e0f8a7a6..4525ef648 100644 --- a/voice/voice_activity_detection_eng_v0.1.yaml +++ b/voice/voice_activity_detection_eng_v0.1.yaml @@ -1,274 +1,276 @@ -openapi: 3.0.1 -info: - title: Voice Activity Detection ENG - description: |+ - This Voice microservice detects utterances in the input audio and outputs the start and end time of these utterances. - - An utterance is the smallest unit of speech. It is a continuous piece of speech beginning and ending with a clear pause. - The length of your audio should be **upto 60 seconds**. - x-additionalinfo: |+ - Suggested Use Cases: - - Narrate a blurb or chunk of text in English - - - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. - - - Enable voice control - implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” - - - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. - version: '0.1.0' - x-subscribelink: voice_activity_detection_eng - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 60 sec/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 60 seconds. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 03, 2020" -paths: - /microservices/voice/vad/v0.1/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: [{end: 23.72,seqNum: 1,start: 0.64}] - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: array - example: [{end: 23.72,seqNum: 1,start: 0.64}] - description: List of details of start and end time of utterances in the input audio - items: - oneOf: - - type: object - properties: - end: - type: number - format: float - example: 23.72 - description: End time of utterance, in seconds. Offset from the start of stream. - seqNum: - type: number - example: 1 - description: Running sequence. Starts from 1. - start: - type: number - format: float - example: 0.64 - description: Start time of utterance, in seconds. Offset from the start of stream. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - required: - - wav_base64 - properties: - wav_base64: - x-name: wav_base64 - type: string - default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - description: |+ - Required. Input audio file in base64 format - threshold: - x-name: threshold - type: number - format: float - default: false - example: 0.2 - description: |+ - Optional. Threshold ranges between 0.0 and 1.0 and default is 0.4 - versions: - type: object - properties: - v1.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 09, 2021 - x-details: Bug fix - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Nov 08, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 03, 2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header +openapi: 3.0.1 +info: + title: Voice Activity Detection ENG + description: |+ + This Voice microservice detects utterances in the input audio and outputs the start and end time of these utterances. + + An utterance is the smallest unit of speech. It is a continuous piece of speech beginning and ending with a clear pause. + The length of your audio should be **upto 60 seconds**. + x-additionalinfo: |+ + Suggested Use Cases: + - Narrate a blurb or chunk of text in English + + - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. + + - Enable voice control - implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” + + - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. + version: '0.1.0' + x-subscribelink: voice_activity_detection_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Detects utterances of input audio and give start/end time of utterances. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 03, 2020" +paths: + /microservices/voice/vad/v0.1/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: [{end: 23.72,seqNum: 1,start: 0.64}] + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: array + example: [{end: 23.72,seqNum: 1,start: 0.64}] + description: List of details of start and end time of utterances in the input audio + items: + oneOf: + - type: object + properties: + end: + type: number + format: float + example: 23.72 + description: End time of utterance, in seconds. Offset from the start of stream. + seqNum: + type: number + example: 1 + description: Running sequence. Starts from 1. + start: + type: number + format: float + example: 0.64 + description: Start time of utterance, in seconds. Offset from the start of stream. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - wav_base64 + properties: + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Required. Input audio file in base64 format + threshold: + x-name: threshold + type: number + format: float + default: false + example: 0.2 + description: |+ + Optional. Threshold ranges between 0.0 and 1.0 and default is 0.4 + versions: + type: object + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 09, 2021 + x-details: Bug fix + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Nov 08, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 257e4bc2b870dcdf2117d2dead9e075d259d87d0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 28 Dec 2021 10:15:00 +0530 Subject: [PATCH 3180/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 45 ++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index b4f621753..bcc1f4592 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -5,6 +5,51 @@ info: This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. The input text should be a minimum of 100 words and a maximum of 512 words. For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. + + x-additionalinfo: |+ + **Sample Python client file** + * **Uploading with Presigned** + + #!/usr/bin/env python3 + + import json + import requests + try: + ### Comment 1. Input fields + data = { + "file_name": "4 test.wav", + "file_size": 4747264, + "content_type": "audio/wav", + "additional_param": { + "model": "generic", + "threshold" : 1.0 + } + } + + headers= {'x-api-key': '6C4223D5857D4F9DA3C0'} + + ### Comment 2. Get presigned URL by request the api + res = requests.request("POST",'https://dev-apis.sentient.io/async/microservices/voice/vadasr/v0/getuploadurl', json=data, headers=headers) + + print(res.status_code) + + res_data = json.loads(res.text) + print(res_data) + res_data = res_data['results'] + + ### Comment 3. Specify the file to be upload + with open("4 test.wav", "rb") as f: + files = {"file": ("4 test.wav", f)} + + ### Comment 4. Request presigned URL and fileds to upload the file + upload_res = requests.post(res_data['url'], data=res_data['fields'], files=files) + + print('headers', upload_res.request.headers) + print(upload_res.text) + + except: + raise Exception("ERROR") + version: '0.1.0' x-subscribelink: text_summarization_large_file x-apitype: small file From e380fb2adc40d66da6587f9bd01918ea32d215f8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 28 Dec 2021 11:34:26 +0530 Subject: [PATCH 3181/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index bcc1f4592..c15faff9f 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -17,19 +17,19 @@ info: try: ### Comment 1. Input fields data = { - "file_name": "4 test.wav", - "file_size": 4747264, - "content_type": "audio/wav", - "additional_param": { - "model": "generic", - "threshold" : 1.0 - } - } + "file_name": "<>", + "file_size": <>, + "content_type": "<>", + ## additional param is optional + "additional_param": { + "password": "******" + } + } headers= {'x-api-key': '6C4223D5857D4F9DA3C0'} ### Comment 2. Get presigned URL by request the api - res = requests.request("POST",'https://dev-apis.sentient.io/async/microservices/voice/vadasr/v0/getuploadurl', json=data, headers=headers) + res = requests.request("POST",'https://dev-apis.sentient.io/async/microservices/nlp/textsummarisation/v0/getuploadurl', json=data, headers=headers) print(res.status_code) @@ -38,8 +38,8 @@ info: res_data = res_data['results'] ### Comment 3. Specify the file to be upload - with open("4 test.wav", "rb") as f: - files = {"file": ("4 test.wav", f)} + with open("<>", "rb") as f: + files = {"file": ("<>", f)} ### Comment 4. Request presigned URL and fileds to upload the file upload_res = requests.post(res_data['url'], data=res_data['fields'], files=files) From bf7b1d7017f5e53cf9fadddf2d7f5648479e0504 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 28 Dec 2021 11:46:06 +0530 Subject: [PATCH 3182/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index c15faff9f..5c1e15730 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -18,7 +18,7 @@ info: ### Comment 1. Input fields data = { "file_name": "<>", - "file_size": <>, + "file_size": <>, "content_type": "<>", ## additional param is optional "additional_param": { @@ -458,26 +458,26 @@ components: required: - file_name properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size file_name: x-name: file_name type: string default: true format: binary - example: 'test.txt' + example: <> description: |+ - File name + File name + file_size: + x-name: file_size + type: integer + default: true + example: <> + description: |+ + File Size content_type: x-name: content_type type: string default: true - example: 'text/plain' + example: <> description: |+ Content type additional_param: @@ -488,7 +488,7 @@ components: x-name: password type: string default: false - example: 123 + example: "******" description: |+ If password required for PDF. uploadinput: From e7a1e7aa8755f4e502700a0d8f4e43661dd99c61 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 28 Dec 2021 12:17:40 +0530 Subject: [PATCH 3183/5916] Update index.yaml --- index.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/index.yaml b/index.yaml index 0afc65f43..9c49dce93 100644 --- a/index.yaml +++ b/index.yaml @@ -161,7 +161,6 @@ computer vision: title: Object Detection versions: 1.0.0: 'object_detection.yaml' - 0.1.0: 'object_detection_v0.1.yaml' face_recognition: title: Face Recognition versions: @@ -175,7 +174,6 @@ computer vision: title: People Counting versions: 1.0.1: 'people_counting.yaml' - 0.1.0: 'people_counting_v0.1.yaml' people_counting: title: People Counting versions: From fc0fd1646ade710a70222e0781d2b62faf17e47c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:05:02 +0530 Subject: [PATCH 3184/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 3d7a5dbf7..7f0ae9757 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -420,26 +420,26 @@ components: required: - file_name properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size file_name: x-name: file_name type: string default: true format: binary - example: 'test.txt' + example: '4 test.wav' description: |+ File name + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + File Size content_type: x-name: content_type type: string default: true - example: 'text/plain' + example: 'audio/wav' description: |+ Content type uploadinput: From 2ff0ad840c447bbb75b08fd0556f9f4d214951dd Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:06:29 +0530 Subject: [PATCH 3185/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- ...oice_activity_detection_eng_large_file.yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 155d47dba..0f6965696 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -421,26 +421,26 @@ components: required: - file_name properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size file_name: x-name: file_name type: string default: true format: binary - example: 'test.txt' + example: '4 test.wav' description: |+ File name + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + File Size content_type: x-name: content_type type: string default: true - example: 'text/plain' + example: 'audio/wav' description: |+ Content type uploadinput: From 12e60c8a009867d03a642d624a189c10af9184ef Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:08:01 +0530 Subject: [PATCH 3186/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 378d447ac..3717daa48 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -421,26 +421,26 @@ components: required: - file_name properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size file_name: x-name: file_name type: string default: true format: binary - example: 'test.txt' + example: '4 test.wav' description: |+ File name + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + File Size content_type: x-name: content_type type: string default: true - example: 'text/plain' + example: 'audio/wav' description: |+ Content type uploadinput: From 95c5943d7e32ed4d2ea26ce1db9ff1b5d166d1a7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:09:45 +0530 Subject: [PATCH 3187/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 3e28110af..a90a9a072 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -450,12 +450,12 @@ components: type: string format: binary default: true - example: sample.wav + example: sample.mp4 description: file content-type: type: string default: false - example: application/pdf + example: video/mp4 description: Fields key: type: string From 3134b81d94dea093d954614c847de77f3ea6d74d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:11:23 +0530 Subject: [PATCH 3188/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 5c1e15730..cbdd6b97b 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -463,21 +463,21 @@ components: type: string default: true format: binary - example: <> + example: 'sample.txt' description: |+ File name file_size: x-name: file_size type: integer default: true - example: <> + example: 4746636 description: |+ File Size content_type: x-name: content_type type: string default: true - example: <> + example: 'text/plain' description: |+ Content type additional_param: From d21abfe2f05796d2186f48e29dc6425b640e72b3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:13:58 +0530 Subject: [PATCH 3189/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index cbdd6b97b..a5204a82a 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -463,7 +463,7 @@ components: type: string default: true format: binary - example: 'sample.txt' + example: 'sample.pdf' description: |+ File name file_size: @@ -477,7 +477,7 @@ components: x-name: content_type type: string default: true - example: 'text/plain' + example: 'application/pdf' description: |+ Content type additional_param: From 37c76afab8f78ac8bbe81b4f790ba4f06d283970 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:19:44 +0530 Subject: [PATCH 3190/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- ..._voice_activity_detection_eng_large_file.yaml | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 0f6965696..3f14f043f 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -443,6 +443,22 @@ components: example: 'audio/wav' description: |+ Content type + additional_param: + x-name: additional_param + type: object + properties: + model: + x-model: model + type: string + example: prepared_speech + description: |+ + model + threshold: + x-threshold: threshold + type: float + example: 0.4 + description: |+ + threshold uploadinput: type: object required: From 7da2eb55a04d222e412f941f4e6d3427e7d22ce4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:21:59 +0530 Subject: [PATCH 3191/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 3f14f043f..d52a3a85e 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -453,7 +453,7 @@ components: example: prepared_speech description: |+ model - threshold: + threshold: x-threshold: threshold type: float example: 0.4 From 1b46656e07a9d4a50ca023c9135d63afaf873b94 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:23:40 +0530 Subject: [PATCH 3192/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml From bfdd09a0ef1298a502128fc378cd963e561db4b1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:25:53 +0530 Subject: [PATCH 3193/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index d52a3a85e..317428735 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -453,7 +453,7 @@ components: example: prepared_speech description: |+ model - threshold: + threshold: x-threshold: threshold type: float example: 0.4 From 0c87100ac6f8826c51679e0811140d03fe83872a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:26:43 +0530 Subject: [PATCH 3194/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 317428735..d52a3a85e 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -453,7 +453,7 @@ components: example: prepared_speech description: |+ model - threshold: + threshold: x-threshold: threshold type: float example: 0.4 From 8a8610a09325a9c1fa2e8f42bcd865ae7464683b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:27:35 +0530 Subject: [PATCH 3195/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 43 +------------------------- 1 file changed, 1 insertion(+), 42 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index a5204a82a..20b900da8 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -7,48 +7,7 @@ info: For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. x-additionalinfo: |+ - **Sample Python client file** - * **Uploading with Presigned** - - #!/usr/bin/env python3 - - import json - import requests - try: - ### Comment 1. Input fields - data = { - "file_name": "<>", - "file_size": <>, - "content_type": "<>", - ## additional param is optional - "additional_param": { - "password": "******" - } - } - - headers= {'x-api-key': '6C4223D5857D4F9DA3C0'} - - ### Comment 2. Get presigned URL by request the api - res = requests.request("POST",'https://dev-apis.sentient.io/async/microservices/nlp/textsummarisation/v0/getuploadurl', json=data, headers=headers) - - print(res.status_code) - - res_data = json.loads(res.text) - print(res_data) - res_data = res_data['results'] - - ### Comment 3. Specify the file to be upload - with open("<>", "rb") as f: - files = {"file": ("<>", f)} - - ### Comment 4. Request presigned URL and fileds to upload the file - upload_res = requests.post(res_data['url'], data=res_data['fields'], files=files) - - print('headers', upload_res.request.headers) - print(upload_res.text) - - except: - raise Exception("ERROR") + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: text_summarization_large_file From 83e96b83eeaf246583153d201ba89ff487795f17 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:37:56 +0530 Subject: [PATCH 3196/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 89 +++++++++++------------ 1 file changed, 44 insertions(+), 45 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 7f0ae9757..f9d621170 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -452,51 +452,50 @@ components: example: description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211220T042940Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 309 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: f3637e07bc3b45cdbc74686395df43fa - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 4f079ca05c614d789252db1d574664d8 - description: Google algorithm - x-goog-signature: - type: string - example: 304d7e52afcea3d6e41818b7c3c71973f275... - description: Google algorithm + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T042940Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: f3637e07bc3b45cdbc74686395df43fa + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 4f079ca05c614d789252db1d574664d8 + description: Google algorithm + x-goog-signature: + type: string + example: 304d7e52afcea3d6e41818b7c3c71973f275... + description: Google algorithm jid: type: string example: e7fe34e9c21c4d75bc94051e476141c5 From 3d8c4e7f6eef309d9705345396018d41776b76e7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 28 Dec 2021 17:39:44 +0530 Subject: [PATCH 3197/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index d52a3a85e..e2d15a180 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -420,6 +420,7 @@ components: type: object required: - file_name + - additional_param properties: file_name: x-name: file_name From df30f6d104f8dd3984bed0413bf9dcec49664ac8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 28 Dec 2021 18:14:05 +0530 Subject: [PATCH 3198/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index e2d15a180..ad2819bee 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -456,7 +456,7 @@ components: model threshold: x-threshold: threshold - type: float + type: number example: 0.4 description: |+ threshold From 791e1309c171195cf9198b7c60a12131fd1a3a76 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 08:58:49 +0530 Subject: [PATCH 3199/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index a90a9a072..c0c799184 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -11,6 +11,8 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. + x-additionalinfo: |+ + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: people_counting_large_file x-apitype: large file From 916c592015231a57bd04fd2c59da3e86cd4c520d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 09:00:39 +0530 Subject: [PATCH 3200/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index c0c799184..f3e5d765b 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -11,7 +11,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. - x-additionalinfo: |+ + x-additional: |+ [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: people_counting_large_file From 45338d3c22736e276a180846cec0dbcfb438efff Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 09:03:22 +0530 Subject: [PATCH 3201/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index f3e5d765b..2d0ed70fd 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -11,7 +11,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. - x-additional: |+ + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: people_counting_large_file From e7a8fadd458cdcae796c3ffb4f7f43dec112f3e7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 09:07:50 +0530 Subject: [PATCH 3202/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index f9d621170..88b4e5fb5 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -10,6 +10,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From cd7a8e5ebc5633efd1f9b80a32517eb4bee1dd13 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 09:08:22 +0530 Subject: [PATCH 3203/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index ad2819bee..af77c8319 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -11,6 +11,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ From 8f5e9bdde9807e8c682e72b1c00a75f87eef8283 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 09:08:45 +0530 Subject: [PATCH 3204/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 3717daa48..9166bed6e 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,6 +10,7 @@ info: Suggested Use Cases: - Supports the following audio coding formats: WAV files, mp3. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 49e28d015047e12eb9806214a30115764abd0b77 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 09:20:55 +0530 Subject: [PATCH 3205/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- .../asr_with_voice_activity_detection_eng_large_file.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index af77c8319..58e950c5b 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -454,13 +454,17 @@ components: type: string example: prepared_speech description: |+ - model + Model selection. For best performance, select the model which best matches the use-case: + + 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. threshold: x-threshold: threshold type: number example: 0.4 description: |+ - threshold + 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. uploadinput: type: object required: From 90106b3a47d64adcac123d2c83f7b5804e290ac4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 09:56:46 +0530 Subject: [PATCH 3206/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 58e950c5b..ada9990c6 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -10,8 +10,7 @@ info: version: '0.1.0' x-additionalinfo: |+ Suggested Use Cases: - - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ From 7e4d058a5830e90833ac0dad111846fe93b81093 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 09:57:49 +0530 Subject: [PATCH 3207/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 88b4e5fb5..97cc4c5c7 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -10,7 +10,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From ff2531b1ec247a3d5240b85ef56d31a4cdd50400 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 09:59:01 +0530 Subject: [PATCH 3208/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 97cc4c5c7..88b4e5fb5 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -10,7 +10,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From a1ebe81f3dcb87075bfdd09e4e6094e928f81857 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:01:13 +0530 Subject: [PATCH 3209/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index ada9990c6..26ee78a40 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -10,6 +10,7 @@ info: version: '0.1.0' x-additionalinfo: |+ Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file From f354264c5abf8dc98dc2efb3deaac08181660bc6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:05:01 +0530 Subject: [PATCH 3210/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 26ee78a40..006d3efcb 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -11,7 +11,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ From 1b87a5849ada3e10c8f0e731d9439608ea341871 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:05:41 +0530 Subject: [PATCH 3211/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 006d3efcb..26ee78a40 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -11,7 +11,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ From 7fb0df5e032097c007b3031e9424722a59475439 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:06:06 +0530 Subject: [PATCH 3212/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 26ee78a40..f42ab63d8 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -10,8 +10,9 @@ info: version: '0.1.0' x-additionalinfo: |+ Suggested Use Cases: - - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". + x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ From 95bac80f259b0279f7c0f9a91ee99d22ba123bc9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:08:33 +0530 Subject: [PATCH 3213/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index f42ab63d8..26ee78a40 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -10,9 +10,8 @@ info: version: '0.1.0' x-additionalinfo: |+ Suggested Use Cases: - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ From 9c0541980a62b827f14356cb24c19f65da52b45b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:11:06 +0530 Subject: [PATCH 3214/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 88b4e5fb5..380c340e2 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -7,10 +7,11 @@ info: For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Suggested Use Cases: + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 342b00b74bc95bf63b1c5ec4ba44f90c70051571 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:12:08 +0530 Subject: [PATCH 3215/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 380c340e2..88b4e5fb5 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -7,11 +7,10 @@ info: For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Suggested Use Cases: - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From c271a96586a1354c35424400bfe3e2e2481f8912 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:15:46 +0530 Subject: [PATCH 3216/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 88b4e5fb5..e627fdc99 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -6,11 +6,12 @@ info: The server returns the recognition result in a JSON format as a response. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) Suggested Use Cases: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 493ae67ec651665dcb6289486923826b943ce30e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:19:58 +0530 Subject: [PATCH 3217/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index e627fdc99..88b4e5fb5 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -6,12 +6,11 @@ info: The server returns the recognition result in a JSON format as a response. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) Suggested Use Cases: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 015fbbf5c7ece953463aa5919cc432012ecb9184 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:59:31 +0530 Subject: [PATCH 3218/5916] Update alibaba_chinese_asr_large_file.yaml From a26ed10509d9f71213527056637d574cd76bc8ea Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:00:54 +0530 Subject: [PATCH 3219/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- .../asr_with_voice_activity_detection_eng_large_file.yaml | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 26ee78a40..ed4f2af7c 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -2,11 +2,8 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG (Large)) description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - - This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. - - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. version: '0.1.0' x-additionalinfo: |+ Suggested Use Cases: From 1901b639177ae9b37e8f2c04b61c8ce5968a75d7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:16:22 +0530 Subject: [PATCH 3220/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index ed4f2af7c..80ad3a2c4 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -434,14 +434,15 @@ components: default: true example: 4746636 description: |+ - File Size + Supports upto 1GB. content_type: x-name: content_type type: string default: true example: 'audio/wav' description: |+ - Content type + Specify the content-type. Pick any one from below list based on input file type. + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] additional_param: x-name: additional_param type: object From 39d424ca4d80b10b5f0077ca2cf89f5d7df2f17f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:19:17 +0530 Subject: [PATCH 3221/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 88b4e5fb5..8a69e527a 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -435,14 +435,15 @@ components: default: true example: 4746636 description: |+ - File Size + Supports upto 1GB. content_type: x-name: content_type type: string default: true example: 'audio/wav' description: |+ - Content type + Specify the content-type. Pick any one from below list based on input file type. + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus","audio/webm","audio/3gpp","audio/3gpp2"] uploadinput: type: object required: From 6daa7868bd27dd62f379fc5a84db9d098de27368 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:20:33 +0530 Subject: [PATCH 3222/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 9166bed6e..8123989cb 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -436,14 +436,15 @@ components: default: true example: 4746636 description: |+ - File Size + Supports upto 1GB. content_type: x-name: content_type type: string default: true example: 'audio/wav' description: |+ - Content type + Specify the content-type. Pick any one from below list based on input file type. + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus","audio/webm","audio/3gpp","audio/3gpp2"] uploadinput: type: object required: From b814a9165b59e686d298adbd717886c1aae5e509 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:23:47 +0530 Subject: [PATCH 3223/5916] Update people_counting_large_file.yaml --- .../people_counting_large_file.yaml | 21 ++++++++----------- 1 file changed, 9 insertions(+), 12 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 2d0ed70fd..247cd6832 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -3,11 +3,7 @@ info: title: People Counting (Large File) description: |+ This Computer Vision microservice tracks and counts people appearing in the input video. - This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. - - The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. - For larger image, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective appearance and confidence of each person detected. x-additionalinfo: |+ Suggested Use Cases: - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. @@ -421,13 +417,6 @@ components: required: - file_name properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: |+ - File Size file_name: x-name: file_name type: string @@ -436,13 +425,21 @@ components: example: 'test.txt' description: |+ File name + file_size: + x-name: file_size + type: integer + default: true + example: 1227936 + description: |+ + Supports upto 1GB. content_type: x-name: content_type type: string default: true example: 'text/plain' description: |+ - Content type + Specify the content-type. Pick any one from below list based on input file type. + ["video/x-m4v", "video/mp4", "video/mpeg", "video/x-msvideo","video/ogg", "video/mp2t", "video/webm", "video/3gpp", "video/3gpp2","video/x-ms-wmv","video/x-ms-asf", "video/x-ms-wm","video/x-flv","application/x-mpegURL", "video/quicktime","application/x-mpegurl","application/vnd.apple.mpegurl" ] uploadinput: type: object required: From d18057b9e9fe9fb4f33c30c8764b73531c0f45f2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:24:24 +0530 Subject: [PATCH 3224/5916] Create alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 8a69e527a..2e6830910 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -428,14 +428,14 @@ components: format: binary example: '4 test.wav' description: |+ - File name + Name of file to be upload. file_size: x-name: file_size type: integer default: true example: 4746636 description: |+ - Supports upto 1GB. + Size of the file. Maximum size should be 1 GB. content_type: x-name: content_type type: string @@ -443,7 +443,7 @@ components: example: 'audio/wav' description: |+ Specify the content-type. Pick any one from below list based on input file type. - ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus","audio/webm","audio/3gpp","audio/3gpp2"] + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] uploadinput: type: object required: From c5117ce54b29ebb569677c4a925ff9b6f9f02a9f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:27:33 +0530 Subject: [PATCH 3225/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 20b900da8..549852a4a 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: Text Summarization (Large File) description: |+ - This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. - The input text should be a minimum of 100 words and a maximum of 512 words. - For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. + This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. x-additionalinfo: |+ [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) @@ -424,21 +422,22 @@ components: format: binary example: 'sample.pdf' description: |+ - File name + Name of file to be upload. file_size: x-name: file_size type: integer default: true example: 4746636 description: |+ - File Size + Size of the file. Maximum size should be 1 GB. content_type: x-name: content_type type: string default: true example: 'application/pdf' description: |+ - Content type + Specify the content-type. Pick any one from below list based on input file type. + ["text/plain","application/pdf","application/vnd.openxmlformats-officedocument.wordprocessingml.document"] additional_param: x-name: additional_param type: object From 48cf81f62449c991106f828bb7d081d7a64a22c0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:28:35 +0530 Subject: [PATCH 3226/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 80ad3a2c4..5398d9fda 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -427,14 +427,14 @@ components: format: binary example: '4 test.wav' description: |+ - File name + Name of file to be upload. file_size: x-name: file_size type: integer default: true example: 4746636 description: |+ - Supports upto 1GB. + Size of the file. Maximum size should be 1 GB. content_type: x-name: content_type type: string From 31b6091f97631a37f232b7b8c40c5564bfa897be Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:29:08 +0530 Subject: [PATCH 3227/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 8123989cb..5dedbc276 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -429,14 +429,14 @@ components: format: binary example: '4 test.wav' description: |+ - File name + Name of file to be upload. file_size: x-name: file_size type: integer default: true example: 4746636 description: |+ - Supports upto 1GB. + Size of the file. Maximum size should be 1 GB. content_type: x-name: content_type type: string From f82425e00b1453e25e1741d495d26be4bdfd1407 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:29:42 +0530 Subject: [PATCH 3228/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 247cd6832..67d831fa7 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -424,14 +424,14 @@ components: format: binary example: 'test.txt' description: |+ - File name + Name of file to be upload. file_size: x-name: file_size type: integer default: true example: 1227936 description: |+ - Supports upto 1GB. + Size of the file. Maximum size should be 1 GB. content_type: x-name: content_type type: string From a46fe7ff2a332d9a1fa49031d6d89b921dcfa8d1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 11:36:08 +0530 Subject: [PATCH 3229/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 67d831fa7..99b45c568 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -422,7 +422,7 @@ components: type: string default: true format: binary - example: 'test.txt' + example: 'sample.mp4' description: |+ Name of file to be upload. file_size: @@ -436,7 +436,7 @@ components: x-name: content_type type: string default: true - example: 'text/plain' + example: 'video/mp4' description: |+ Specify the content-type. Pick any one from below list based on input file type. ["video/x-m4v", "video/mp4", "video/mpeg", "video/x-msvideo","video/ogg", "video/mp2t", "video/webm", "video/3gpp", "video/3gpp2","video/x-ms-wmv","video/x-ms-asf", "video/x-ms-wm","video/x-flv","application/x-mpegURL", "video/quicktime","application/x-mpegurl","application/vnd.apple.mpegurl" ] From ab33cb0082b59ca7fcb9839d7a4d40231918053a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 12:00:15 +0530 Subject: [PATCH 3230/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 2e6830910..6b0ad7f4d 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -10,7 +10,8 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/larger_payload_alibaba_chinese_asr.pdf) version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From b28ce1b7b65b33c3eaa9139bd03883588a44488f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 12:05:09 +0530 Subject: [PATCH 3231/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 5398d9fda..25e1de5af 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/larger_payload_vadasr.pdf) x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ @@ -450,6 +450,7 @@ components: model: x-model: model type: string + default: true example: prepared_speech description: |+ Model selection. For best performance, select the model which best matches the use-case: From 998d64ffa905b98aa3968361158c74b9f4009506 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 15:01:54 +0530 Subject: [PATCH 3232/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 549852a4a..b7e7b28f3 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -5,7 +5,7 @@ info: This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. x-additionalinfo: |+ - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/larger_payload_text_summarization.pdf) version: '0.1.0' x-subscribelink: text_summarization_large_file From 8e4a1bc4a5dc3ae30ec0ae86f8a8a951109e4c9a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 15:07:23 +0530 Subject: [PATCH 3233/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 6b0ad7f4d..b29a1d894 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -11,7 +11,7 @@ info: - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/larger_payload_alibaba_chinese_asr.pdf) + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/larger_payload_alibaba_chinese_ASR.pdf) version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 576bb6aacbfc01d86d5dd1e415865f2c2efccd1c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 15:43:47 +0530 Subject: [PATCH 3234/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index b7e7b28f3..5c4d0ac0f 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -5,7 +5,10 @@ info: This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. x-additionalinfo: |+ - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/larger_payload_text_summarization.pdf) + Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + + [Detailed reference to the additional parameters](https://storage.googleapis.com/lpdocs/docs/larger_payload_text_summarization.pdf) + [The file upload form](https://storage.googleapis.com/dockerpoc/upload_form.html) version: '0.1.0' x-subscribelink: text_summarization_large_file From b8616da31dd954dd05c4aad8b8ad4c7b6ffa4b5e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 15:45:44 +0530 Subject: [PATCH 3235/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 5c4d0ac0f..7aac4088a 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -5,10 +5,10 @@ info: This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. [Detailed reference to the additional parameters](https://storage.googleapis.com/lpdocs/docs/larger_payload_text_summarization.pdf) - [The file upload form](https://storage.googleapis.com/dockerpoc/upload_form.html) + The file upload form : https://storage.googleapis.com/dockerpoc/upload_form.html version: '0.1.0' x-subscribelink: text_summarization_large_file From 954b84a89358b57152452ffebc1eae68e42151ca Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 15:51:49 +0530 Subject: [PATCH 3236/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 7aac4088a..7c14aa8ce 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -5,10 +5,10 @@ info: This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. + Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. + The guide below provides detailed steps to try out processing a large file without any coding. [Detailed reference to the additional parameters](https://storage.googleapis.com/lpdocs/docs/larger_payload_text_summarization.pdf) - The file upload form : https://storage.googleapis.com/dockerpoc/upload_form.html version: '0.1.0' x-subscribelink: text_summarization_large_file From 6500c2c9fab8d41141e96dec5e17889937e98b15 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 15:53:36 +0530 Subject: [PATCH 3237/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 7c14aa8ce..78924a418 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -5,7 +5,7 @@ info: This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. [Detailed reference to the additional parameters](https://storage.googleapis.com/lpdocs/docs/larger_payload_text_summarization.pdf) From 88547a70cc25478557391b828d31c702614672e2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 16:00:15 +0530 Subject: [PATCH 3238/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 78924a418..d5df7853d 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -8,7 +8,7 @@ info: Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. - [Detailed reference to the additional parameters](https://storage.googleapis.com/lpdocs/docs/larger_payload_text_summarization.pdf) + [Detailed reference to the additional parameters](https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf) version: '0.1.0' x-subscribelink: text_summarization_large_file From 942c5b659fb061a583a1a226b5516ad3efc74f65 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 16:34:47 +0530 Subject: [PATCH 3239/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index b29a1d894..439a8d2a1 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -10,8 +10,9 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/larger_payload_alibaba_chinese_ASR.pdf) + Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. + The guide below provides detailed steps to try out processing a large file without any coding. + [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf) version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From bd08b12021c4dcfe12d73f5f3d4dd1657f260bd2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 16:35:21 +0530 Subject: [PATCH 3240/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 439a8d2a1..3018af052 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -10,6 +10,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. + Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf) From f3e5138da43831c591b9b89b185f68d978fcaca8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 16:37:04 +0530 Subject: [PATCH 3241/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 3018af052..c8b4bc62a 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -2,15 +2,12 @@ openapi: 3.0.1 info: title: Alibaba Chinese ASR (Large File) description: |+ - This Voice microservice takes in the input audio file and supports recognizing a speech. - The server returns the recognition result in a JSON format as a response. + This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. - x-additionalinfo: |+ - Suggested Use Cases: - - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - + - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. + - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. + - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. + x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf) From 39bce57dc2f1b61f81f2433d793f114b3f555f47 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:06:03 +0530 Subject: [PATCH 3242/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index d5df7853d..c1e31f9a3 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -7,9 +7,10 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. - - [Detailed reference to the additional parameters](https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf) - + Detailed reference to the additional parameters (https://dev-docs.sentient.io/#/nlp/text_summarization) + The file upload form (https://sentient.io/upload/form.html) + x-totorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf version: '0.1.0' x-subscribelink: text_summarization_large_file x-apitype: small file From b6f6a547a0a2de67eabf8a60a9ac1482f858774e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:12:16 +0530 Subject: [PATCH 3243/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- .../asr_with_voice_activity_detection_eng_large_file.yaml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 25e1de5af..0596a724e 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -9,6 +9,13 @@ info: Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/larger_payload_vadasr.pdf) + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. + The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + Detailed reference to the additional parameters (https://dev-docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng) + The file upload form (https://sentient.io/upload/form.html) + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/larger_payload_vadasr.pdf x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ From ac34c5e977e5b50133adc3c1e4600b0d6b0dba2d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:12:52 +0530 Subject: [PATCH 3244/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index c1e31f9a3..3dfb6b5cd 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -9,7 +9,7 @@ info: The guide below provides detailed steps to try out processing a large file without any coding. Detailed reference to the additional parameters (https://dev-docs.sentient.io/#/nlp/text_summarization) The file upload form (https://sentient.io/upload/form.html) - x-totorial-pdf-doc: + x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf version: '0.1.0' x-subscribelink: text_summarization_large_file From 0449f3e82367ef45fe5e4e51fb229c423cc99707 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:13:27 +0530 Subject: [PATCH 3245/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 0596a724e..60bd5c25e 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -5,10 +5,6 @@ info: This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. version: '0.1.0' - x-additionalinfo: |+ - Suggested Use Cases: - - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/larger_payload_vadasr.pdf) x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: From ebc4978a5b4747d1c37b427143238414b6f02352 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:22:24 +0530 Subject: [PATCH 3246/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index c8b4bc62a..bcc92df5f 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -7,10 +7,13 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps ands and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf) + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. + The guide below provides detailed steps to try out processing a large file without any coding. + Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/alibaba_chi_asr + The file upload form https://sentient.io/upload/form.html + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 793006780cfd70a830f43c466af8419267e3c164 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:24:40 +0530 Subject: [PATCH 3247/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 60bd5c25e..d3e2c130c 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -11,7 +11,7 @@ info: Detailed reference to the additional parameters (https://dev-docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng) The file upload form (https://sentient.io/upload/form.html) x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/larger_payload_vadasr.pdf + https://storage.googleapis.com/lpdocs/docs/vadasr.pdf x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ From 2e8702e4b1c5c2829a7c2fa1f1a35e0d9a4b40bd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:27:32 +0530 Subject: [PATCH 3248/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 99b45c568..2f18f794a 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -5,10 +5,12 @@ info: This Computer Vision microservice tracks and counts people appearing in the input video. This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. x-additionalinfo: |+ - Suggested Use Cases: - - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. - - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. + The guide below provides detailed steps to try out processing a large file without any coding. + Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/alibaba_chi_asr + The file upload form https://sentient.io/upload/form.html + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/people_counting.pdf version: '0.1.0' x-subscribelink: people_counting_large_file x-apitype: large file From 82c93e26d8d737652ea2938c36063fe5c1e23256 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:38:52 +0530 Subject: [PATCH 3249/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index d3e2c130c..963254739 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -8,8 +8,8 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: - Detailed reference to the additional parameters (https://dev-docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng) - The file upload form (https://sentient.io/upload/form.html) + Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng + The file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/vadasr.pdf x-subscribelink: asr_with_voice_activity_detection_eng From 4189ce5ae137249aef649b156ca286c05c9fe1c2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:48:22 +0530 Subject: [PATCH 3250/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 5dedbc276..af7418ab4 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -11,6 +11,12 @@ info: - Supports the following audio coding formats: WAV files, mp3. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. + The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. You may also need: + The file upload form https://sentient.io/upload/form.html + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 49c421420c2017970cbb479be31a6300c0f2ae72 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:49:04 +0530 Subject: [PATCH 3251/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index af7418ab4..47f6adfe1 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -4,13 +4,9 @@ info: description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech . The server returns the recognition result in a JSON format as a response. - - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. - x-additionalinfo: |+ - Suggested Use Cases: - Supports the following audio coding formats: WAV files, mp3. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - [Steps to Check the Larger Payload Flow](https://storage.googleapis.com/dockerpoc/LargerpayloadTesting.pdf) + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. You may also need: From 80993a73e6734a684af157d91de5961cca9a2a0a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:52:30 +0530 Subject: [PATCH 3252/5916] Update demographics_classification.yaml --- computer_vision/demographics_classification.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/demographics_classification.yaml b/computer_vision/demographics_classification.yaml index 2e517dde4..37bced43f 100644 --- a/computer_vision/demographics_classification.yaml +++ b/computer_vision/demographics_classification.yaml @@ -15,7 +15,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From e0f645dbe2bd79bff1bdf8c2c6e9637a58c24af6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:52:31 +0530 Subject: [PATCH 3253/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 2f18f794a..8f40c2a88 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -6,8 +6,7 @@ info: This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/alibaba_chi_asr + The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. You may also need: The file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/people_counting.pdf From 8cb4a3f689c6710ebb0a812fd2260135bdb29601 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:52:51 +0530 Subject: [PATCH 3254/5916] Update face_recognition.yaml --- computer_vision/face_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index 12a501f19..b6a5d4b43 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -69,7 +69,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From b05a3523a9755712d8c46129093615a08f6712c1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:53:25 +0530 Subject: [PATCH 3255/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 8f40c2a88..7211876ba 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -5,8 +5,7 @@ info: This Computer Vision microservice tracks and counts people appearing in the input video. This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. You may also need: + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. The file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/people_counting.pdf From cbdd90e9daa9e66dfd0d6e240a3ae852c5bacaec Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:53:27 +0530 Subject: [PATCH 3256/5916] Update face_recognition_v0.1.yaml --- computer_vision/face_recognition_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/face_recognition_v0.1.yaml b/computer_vision/face_recognition_v0.1.yaml index 364009621..64f32b65e 100644 --- a/computer_vision/face_recognition_v0.1.yaml +++ b/computer_vision/face_recognition_v0.1.yaml @@ -19,7 +19,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 20603c7aa33916e8b849fdbff53d1ce59b681863 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:53:50 +0530 Subject: [PATCH 3257/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index 6c76343ef..c875fc455 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -13,7 +13,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 423de0a76c6c13f026336ceab9c73a34ccc1e509 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:54:24 +0530 Subject: [PATCH 3258/5916] Update landmark_recognition_jp.yaml --- computer_vision/landmark_recognition_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/landmark_recognition_jp.yaml b/computer_vision/landmark_recognition_jp.yaml index 6230f9590..bd68bdd58 100644 --- a/computer_vision/landmark_recognition_jp.yaml +++ b/computer_vision/landmark_recognition_jp.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 71224ded30d000b33aa7348964bdd95e8dc7dbf4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:55:47 +0530 Subject: [PATCH 3259/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 3dfb6b5cd..006db4cf6 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -6,9 +6,8 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. - Detailed reference to the additional parameters (https://dev-docs.sentient.io/#/nlp/text_summarization) - The file upload form (https://sentient.io/upload/form.html) + The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. You may also need: + The file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf version: '0.1.0' From 1c48fef508c5b1ca1045e3d32d592c5c4c71e9be Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:56:20 +0530 Subject: [PATCH 3260/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 963254739..f1c937cb8 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -6,8 +6,7 @@ info: This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. version: '0.1.0' x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.The guide below provides detailed steps to try out processing a large file without any coding. You may also need: Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng The file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: From 1618f06e8e2ce57fed964cf6bd9c7b96d5947951 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:59:18 +0530 Subject: [PATCH 3261/5916] Update landmark_recognition_jp_v0.1.yaml --- computer_vision/landmark_recognition_jp_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/landmark_recognition_jp_v0.1.yaml b/computer_vision/landmark_recognition_jp_v0.1.yaml index 8c3137efd..25f0e02d5 100644 --- a/computer_vision/landmark_recognition_jp_v0.1.yaml +++ b/computer_vision/landmark_recognition_jp_v0.1.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From c4fd333b1305442f9036319585e800e41393c5b8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:59:35 +0530 Subject: [PATCH 3262/5916] Update landmark_recognition_sg.yaml --- computer_vision/landmark_recognition_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/landmark_recognition_sg.yaml b/computer_vision/landmark_recognition_sg.yaml index c31b278da..759360d87 100644 --- a/computer_vision/landmark_recognition_sg.yaml +++ b/computer_vision/landmark_recognition_sg.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 73b410297489d902e0e190c72a5c968e3d4e0329 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 17:59:58 +0530 Subject: [PATCH 3263/5916] Update landmark_recognition_sg_v0.1.yaml --- computer_vision/landmark_recognition_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/landmark_recognition_sg_v0.1.yaml b/computer_vision/landmark_recognition_sg_v0.1.yaml index 38a2528e7..a3b1dd91b 100644 --- a/computer_vision/landmark_recognition_sg_v0.1.yaml +++ b/computer_vision/landmark_recognition_sg_v0.1.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From fe1248f758741612418e455dbcee76e1fe715ab1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:00:46 +0530 Subject: [PATCH 3264/5916] Update masked_face_recognition.yaml --- computer_vision/masked_face_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/masked_face_recognition.yaml b/computer_vision/masked_face_recognition.yaml index c28aabc62..5af56e172 100644 --- a/computer_vision/masked_face_recognition.yaml +++ b/computer_vision/masked_face_recognition.yaml @@ -58,7 +58,7 @@ info: x-inputfilelimit: |+ Process up to 5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 24810aca1f01e5f4a9230c0dd9c178aec18f3877 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:00:59 +0530 Subject: [PATCH 3265/5916] Update object_detection.yaml --- computer_vision/object_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/object_detection.yaml b/computer_vision/object_detection.yaml index 437000263..37288a54e 100644 --- a/computer_vision/object_detection.yaml +++ b/computer_vision/object_detection.yaml @@ -22,7 +22,7 @@ info: x-inputfilelimit: |+ Process up to 5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From c86b1fe720c56c09a73bd7e54ccfa2a144d6a9b7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:01:14 +0530 Subject: [PATCH 3266/5916] Update object_detection_v0.1.yaml --- computer_vision/object_detection_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/object_detection_v0.1.yaml b/computer_vision/object_detection_v0.1.yaml index 9765f314d..b71fa73e8 100644 --- a/computer_vision/object_detection_v0.1.yaml +++ b/computer_vision/object_detection_v0.1.yaml @@ -24,7 +24,7 @@ info: x-inputfilelimit: |+ Process up to 5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 3549d34b982563b85d7c7287fe29b1621584c6bd Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:01:42 +0530 Subject: [PATCH 3267/5916] Update people_counting.yaml --- computer_vision/people_counting.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting.yaml b/computer_vision/people_counting.yaml index a81f1ae00..469ab6a70 100644 --- a/computer_vision/people_counting.yaml +++ b/computer_vision/people_counting.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 10 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 131a02ee0e68a4d8180d2e129788421b337716f9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:01:58 +0530 Subject: [PATCH 3268/5916] Update people_counting_v0.1.yaml --- computer_vision/people_counting_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_v0.1.yaml b/computer_vision/people_counting_v0.1.yaml index 9a9626034..5dc998d9f 100644 --- a/computer_vision/people_counting_v0.1.yaml +++ b/computer_vision/people_counting_v0.1.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 10 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 333b2a7e87a82ca3061ddc263d0bc004bbe3f565 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:02:11 +0530 Subject: [PATCH 3269/5916] Update person_reidentification.yaml --- computer_vision/person_reidentification.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/person_reidentification.yaml b/computer_vision/person_reidentification.yaml index 87b366475..eb59148ca 100644 --- a/computer_vision/person_reidentification.yaml +++ b/computer_vision/person_reidentification.yaml @@ -58,7 +58,7 @@ info: x-inputfilelimit: |+ Process up to 5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From c4782e3598ab8a9b1e0895290321c866ec528b95 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:02:27 +0530 Subject: [PATCH 3270/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 8268532df..b0ded7654 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -13,7 +13,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From c0cd56bb1c3dc02e7a0addc3b65d5fc15b91e9cf Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:04:25 +0530 Subject: [PATCH 3271/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 48f1cc27b..20472df32 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -42,7 +42,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 2c20c09df6db049528234575750ea65b88873d87 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:04:39 +0530 Subject: [PATCH 3272/5916] Update amenities_hardcourts_hdb_sg_v0.1.yaml --- data/amenities_hardcourts_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg_v0.1.yaml b/data/amenities_hardcourts_hdb_sg_v0.1.yaml index f3a573e1e..499aaa5c0 100644 --- a/data/amenities_hardcourts_hdb_sg_v0.1.yaml +++ b/data/amenities_hardcourts_hdb_sg_v0.1.yaml @@ -42,7 +42,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From f142bf22324cdf1b35bde44bf7631b377358026b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:04:51 +0530 Subject: [PATCH 3273/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 7376e5749..04ea9e468 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -43,7 +43,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 9fd4a5832749f278dc775fd913cac56889560270 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:05:07 +0530 Subject: [PATCH 3274/5916] Update amenities_lamp_posts_hdb_sg_v0.1.yaml --- data/amenities_lamp_posts_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg_v0.1.yaml b/data/amenities_lamp_posts_hdb_sg_v0.1.yaml index 6a43b29a6..19fb39a20 100644 --- a/data/amenities_lamp_posts_hdb_sg_v0.1.yaml +++ b/data/amenities_lamp_posts_hdb_sg_v0.1.yaml @@ -43,7 +43,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 16be43dd2de5257ec49ab6aceb6dea7ac9a4819a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:05:24 +0530 Subject: [PATCH 3275/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 651a6350b..40f461f6e 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -83,7 +83,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 067d4b64e11a35136d7f05acfff3476fb855f17d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:05:41 +0530 Subject: [PATCH 3276/5916] Update amenities_shelters_hdb_sg_v0.1.yaml --- data/amenities_shelters_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg_v0.1.yaml b/data/amenities_shelters_hdb_sg_v0.1.yaml index 8b7c7e9a4..43070562f 100644 --- a/data/amenities_shelters_hdb_sg_v0.1.yaml +++ b/data/amenities_shelters_hdb_sg_v0.1.yaml @@ -97,7 +97,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 6f4cd057ed328f61e94881132680b8362d820475 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:05:56 +0530 Subject: [PATCH 3277/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index d7f33ae95..b830328b5 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -83,7 +83,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 3b014cce38c243b596246c89fe775c45d3ad4265 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:06:12 +0530 Subject: [PATCH 3278/5916] Update building_addresses_hdb_sg_v0.1.yaml --- data/building_addresses_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/building_addresses_hdb_sg_v0.1.yaml b/data/building_addresses_hdb_sg_v0.1.yaml index 1ac815cc6..5242b7b96 100644 --- a/data/building_addresses_hdb_sg_v0.1.yaml +++ b/data/building_addresses_hdb_sg_v0.1.yaml @@ -97,7 +97,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 1a0783a8ed80b86950e2f5ba5fc3a722a8b671b2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:06:29 +0530 Subject: [PATCH 3279/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 2d23d0e11..212f4a265 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -91,7 +91,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From fe183b892e24228e38cec2b46bf29bc183930cd9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:06:44 +0530 Subject: [PATCH 3280/5916] Update carpark_hdb_sg_v0.1.yaml --- data/carpark_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/carpark_hdb_sg_v0.1.yaml b/data/carpark_hdb_sg_v0.1.yaml index fa53da4b5..39a1450ea 100644 --- a/data/carpark_hdb_sg_v0.1.yaml +++ b/data/carpark_hdb_sg_v0.1.yaml @@ -127,7 +127,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From b6f73c0b02e692a26adf7787587bb314534e4239 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:07:02 +0530 Subject: [PATCH 3281/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index 3cc376cfc..d3178310f 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -88,7 +88,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From d5472e0cbd27c69757f47c6ead87410bff8f5331 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:07:14 +0530 Subject: [PATCH 3282/5916] Update commercial_directories_hdb_sg_v0.1.yaml --- data/commercial_directories_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/commercial_directories_hdb_sg_v0.1.yaml b/data/commercial_directories_hdb_sg_v0.1.yaml index d085072b5..a4a07c028 100644 --- a/data/commercial_directories_hdb_sg_v0.1.yaml +++ b/data/commercial_directories_hdb_sg_v0.1.yaml @@ -116,7 +116,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From ef804e8524c6e1b6ce233f17b913fb3309f96bc6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:07:30 +0530 Subject: [PATCH 3283/5916] Update d&b_basic_individual_search_sg.yaml --- data/d&b_basic_individual_search_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_basic_individual_search_sg.yaml b/data/d&b_basic_individual_search_sg.yaml index 743b07b42..bb3fae051 100644 --- a/data/d&b_basic_individual_search_sg.yaml +++ b/data/d&b_basic_individual_search_sg.yaml @@ -15,7 +15,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 9391a0b4fb9ed5fcfc5c60ee4de7cc7361b14fc4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:08:08 +0530 Subject: [PATCH 3284/5916] Update d&b_basic_individual_search_sg_v0.1.yaml --- data/d&b_basic_individual_search_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_basic_individual_search_sg_v0.1.yaml b/data/d&b_basic_individual_search_sg_v0.1.yaml index e60238a68..85c228599 100644 --- a/data/d&b_basic_individual_search_sg_v0.1.yaml +++ b/data/d&b_basic_individual_search_sg_v0.1.yaml @@ -15,7 +15,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 5ad5cae63d3a9b8a9f01111a6e4638662334c2c1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:08:17 +0530 Subject: [PATCH 3285/5916] Create d&b_basic_individual_search_sg_v0.1.yaml From fb8ab8aa0a48f823258be8368b8e2e55580e19eb Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:08:31 +0530 Subject: [PATCH 3286/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index 35599bd4d..1287d97cb 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From a99d01312e3734a77b41f5558afe43261c124327 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:08:42 +0530 Subject: [PATCH 3287/5916] Update d&b_brief_financial_information_sg_v0.1.yaml --- data/d&b_brief_financial_information_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_brief_financial_information_sg_v0.1.yaml b/data/d&b_brief_financial_information_sg_v0.1.yaml index 4c2621fa0..4a450b804 100644 --- a/data/d&b_brief_financial_information_sg_v0.1.yaml +++ b/data/d&b_brief_financial_information_sg_v0.1.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From f038f21d8ee916be0f37c067bf586a2a3c9dafff Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:08:54 +0530 Subject: [PATCH 3288/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index bc1b35ce8..fa5ff57c0 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 1f7e84bf327c3613009292661fc4eed11d1fb06f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:09:04 +0530 Subject: [PATCH 3289/5916] Update d&b_business_check_plus_sg_v0.1.yaml --- data/d&b_business_check_plus_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_plus_sg_v0.1.yaml b/data/d&b_business_check_plus_sg_v0.1.yaml index 1cfe721df..3759c05a1 100644 --- a/data/d&b_business_check_plus_sg_v0.1.yaml +++ b/data/d&b_business_check_plus_sg_v0.1.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 423bab7d492a9e6db668fc1c136411cd8cc00313 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:09:16 +0530 Subject: [PATCH 3290/5916] Update d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index b6ab34465..2781dc315 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From a9e88139d8cccb8b9df1397341bca3e78148bfdb Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:09:29 +0530 Subject: [PATCH 3291/5916] Update d&b_business_check_sg_v0.1.yaml --- data/d&b_business_check_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_sg_v0.1.yaml b/data/d&b_business_check_sg_v0.1.yaml index 39fdf3065..c7e20f5ae 100644 --- a/data/d&b_business_check_sg_v0.1.yaml +++ b/data/d&b_business_check_sg_v0.1.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From bd09e2378bb68321b6293fb35447910159ec856a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:09:41 +0530 Subject: [PATCH 3292/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index 874e4fc54..f802e2d72 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -86,7 +86,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From e0f520eb3e5d5b23ef593e02a81d645f17cbcfdc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:09:53 +0530 Subject: [PATCH 3293/5916] Update demographics_hdb_sg_v0.1.yaml --- data/demographics_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/demographics_hdb_sg_v0.1.yaml b/data/demographics_hdb_sg_v0.1.yaml index 4a18a7864..fc1fffb49 100644 --- a/data/demographics_hdb_sg_v0.1.yaml +++ b/data/demographics_hdb_sg_v0.1.yaml @@ -86,7 +86,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 7b26f08982efa2dc630f92dfb53dd0bb649f7ece Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:10:07 +0530 Subject: [PATCH 3294/5916] Update directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index 00018dfe4..b8b0b1ab4 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -75,7 +75,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 9d5348173c88d02716a686498cb235e72ffaeca2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:10:19 +0530 Subject: [PATCH 3295/5916] Update directory_of_singapore_startups_v0.1.yaml --- data/directory_of_singapore_startups_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/directory_of_singapore_startups_v0.1.yaml b/data/directory_of_singapore_startups_v0.1.yaml index dc902fdad..9b33f37b9 100644 --- a/data/directory_of_singapore_startups_v0.1.yaml +++ b/data/directory_of_singapore_startups_v0.1.yaml @@ -84,7 +84,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From d307f2140d9d985b7056b9d87af80a4a4c601f16 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:10:34 +0530 Subject: [PATCH 3296/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index d26dbe411..e545e518a 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -43,7 +43,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 635b2c24c3724f3cc5c08eca401e359c2c752dc3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:10:45 +0530 Subject: [PATCH 3297/5916] Update fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml --- data/fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml b/data/fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml index 3aa77f6cb..5d78f4f3b 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg_v0.1.yaml @@ -43,7 +43,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 21072bd89e6147eacdcb18e1c5010ec7793cbaf5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:10:56 +0530 Subject: [PATCH 3298/5916] Update flat_ownership_hdb_sg.yaml --- data/flat_ownership_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/flat_ownership_hdb_sg.yaml b/data/flat_ownership_hdb_sg.yaml index bf0f1e319..ced68337c 100644 --- a/data/flat_ownership_hdb_sg.yaml +++ b/data/flat_ownership_hdb_sg.yaml @@ -83,7 +83,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 99e5543501059cd13e9287b5a1e220e68e8f8d27 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:11:08 +0530 Subject: [PATCH 3299/5916] Update flat_ownership_hdb_sg_v0.1.yaml --- data/flat_ownership_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/flat_ownership_hdb_sg_v0.1.yaml b/data/flat_ownership_hdb_sg_v0.1.yaml index 8e44c0d9d..f6adb601f 100644 --- a/data/flat_ownership_hdb_sg_v0.1.yaml +++ b/data/flat_ownership_hdb_sg_v0.1.yaml @@ -92,7 +92,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 36b25f26ababfd70616ea3bdd5cc137035cf26e1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:11:19 +0530 Subject: [PATCH 3300/5916] Update hdb_amenities_score.yaml --- data/hdb_amenities_score.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_amenities_score.yaml b/data/hdb_amenities_score.yaml index efbf2822d..070e8feca 100644 --- a/data/hdb_amenities_score.yaml +++ b/data/hdb_amenities_score.yaml @@ -12,7 +12,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 7cd21ef1462c84b828ee7f77be951fb73f667098 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:11:29 +0530 Subject: [PATCH 3301/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index c882a9925..485432794 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -27,7 +27,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 0a4dcd646fb15a56cb9e1bccbd798a12725f784b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:11:41 +0530 Subject: [PATCH 3302/5916] Update lta_car_park_availability.yaml --- data/lta_car_park_availability.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_car_park_availability.yaml b/data/lta_car_park_availability.yaml index 35f9cfc15..e210b591a 100644 --- a/data/lta_car_park_availability.yaml +++ b/data/lta_car_park_availability.yaml @@ -28,7 +28,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From cfbe196806fbb1340166e5368d75f5e046143096 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:11:51 +0530 Subject: [PATCH 3303/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index df0348868..aaaa65f5b 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -34,7 +34,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 7f87476751d73760f9c1f657dd9d3070d39a855d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:12:01 +0530 Subject: [PATCH 3304/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index a375a8573..e40d98101 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -26,7 +26,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From cc13d6f3c6c78afdbe3e5396305304ac6db6e359 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:12:13 +0530 Subject: [PATCH 3305/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 2fabcc6b6..0fe448ee7 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -27,7 +27,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From f3acb0a20bd72a67f8d86876a41782ab4d601360 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:12:23 +0530 Subject: [PATCH 3306/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index ca1d71952..f63c5100c 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -26,7 +26,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From b564854ccf8efe047d34aaf3f012a820019c7e3c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:12:32 +0530 Subject: [PATCH 3307/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 9582a6660..9d80197d0 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -38,7 +38,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 209b51c0bd30bd680e171a526263573620276a5a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:12:45 +0530 Subject: [PATCH 3308/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index 4ea9185b3..ae002b5ff 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -30,7 +30,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 2126f8902a04b9a772f0b9cd9d9fbea0651040c1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:12:55 +0530 Subject: [PATCH 3309/5916] Update lta_traffic_speed_bands.yaml --- data/lta_traffic_speed_bands.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_speed_bands.yaml b/data/lta_traffic_speed_bands.yaml index 8ab38e525..88168a9dc 100644 --- a/data/lta_traffic_speed_bands.yaml +++ b/data/lta_traffic_speed_bands.yaml @@ -29,7 +29,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 7246ec946198b8f54ba13a1b04a56698642da648 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:13:09 +0530 Subject: [PATCH 3310/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index 1cbf719ee..6b6a434ce 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -34,7 +34,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 084f1b04b7321dd2a8983b534c5b849dee6e53ac Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:13:19 +0530 Subject: [PATCH 3311/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index e169bb1f7..738c26be8 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -28,7 +28,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 9b575d5085fa5086308c846bd31a6c936468ef91 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:13:32 +0530 Subject: [PATCH 3312/5916] Update realtime_weather.yaml --- data/realtime_weather.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/realtime_weather.yaml b/data/realtime_weather.yaml index 27112cb09..e00f2d1df 100644 --- a/data/realtime_weather.yaml +++ b/data/realtime_weather.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process String per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 91cec259f07416ff9339f33084ecf6f40915840f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:13:44 +0530 Subject: [PATCH 3313/5916] Update residential_sales_and_rental_hdb_sg.yaml --- data/residential_sales_and_rental_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/residential_sales_and_rental_hdb_sg.yaml b/data/residential_sales_and_rental_hdb_sg.yaml index 9a48076b9..5b7805f71 100644 --- a/data/residential_sales_and_rental_hdb_sg.yaml +++ b/data/residential_sales_and_rental_hdb_sg.yaml @@ -87,7 +87,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 4309ea28b9664af477242414f74bf5d7ce733d63 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:13:56 +0530 Subject: [PATCH 3314/5916] Update residential_sales_and_rental_hdb_sg_v0.1.yaml --- data/residential_sales_and_rental_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/residential_sales_and_rental_hdb_sg_v0.1.yaml b/data/residential_sales_and_rental_hdb_sg_v0.1.yaml index 5e90374a1..6163b3720 100644 --- a/data/residential_sales_and_rental_hdb_sg_v0.1.yaml +++ b/data/residential_sales_and_rental_hdb_sg_v0.1.yaml @@ -93,7 +93,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From cd0a891ee946b6916dd6f8d443aaf483b2589716 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:14:07 +0530 Subject: [PATCH 3315/5916] Update season_parking_availability_hdb_sg.yaml --- data/season_parking_availability_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/season_parking_availability_hdb_sg.yaml b/data/season_parking_availability_hdb_sg.yaml index 950c03455..03357c333 100644 --- a/data/season_parking_availability_hdb_sg.yaml +++ b/data/season_parking_availability_hdb_sg.yaml @@ -85,7 +85,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 00e20f3fa43f128dcc9ec4e37c6e65f501966484 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:14:18 +0530 Subject: [PATCH 3316/5916] Update season_parking_availability_hdb_sg_v0.1.yaml --- data/season_parking_availability_hdb_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/season_parking_availability_hdb_sg_v0.1.yaml b/data/season_parking_availability_hdb_sg_v0.1.yaml index c3f956e95..9d1139cf0 100644 --- a/data/season_parking_availability_hdb_sg_v0.1.yaml +++ b/data/season_parking_availability_hdb_sg_v0.1.yaml @@ -85,7 +85,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From e90238411a96ddc8e9a922993ddeb472dad6046d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:14:29 +0530 Subject: [PATCH 3317/5916] Update train_stations_sg.yaml --- data/train_stations_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/train_stations_sg.yaml b/data/train_stations_sg.yaml index 406c8a7eb..998b0ac75 100644 --- a/data/train_stations_sg.yaml +++ b/data/train_stations_sg.yaml @@ -24,7 +24,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 31e3d5401c11645c7deb6199a108f165ec0b625e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:14:39 +0530 Subject: [PATCH 3318/5916] Update trajectory_clustering.yaml --- data/trajectory_clustering.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/trajectory_clustering.yaml b/data/trajectory_clustering.yaml index 281299d9b..aee311c3d 100644 --- a/data/trajectory_clustering.yaml +++ b/data/trajectory_clustering.yaml @@ -15,7 +15,7 @@ x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From ae7341024a339f56bc78bf8e448598a956b9b747 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:15:40 +0530 Subject: [PATCH 3319/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 3f673513c..c52514f63 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 7a9e3ee660ad09f01f23b9114470f1d6e942e9f2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:15:50 +0530 Subject: [PATCH 3320/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 33a52a21b..c8c63ed8c 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From bb90052bb6f8fe6526029a7c9012f22b817a0c5d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:15:58 +0530 Subject: [PATCH 3321/5916] Update inverse_text_normalisation_eng_v0.1.yaml --- nlp/inverse_text_normalisation_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng_v0.1.yaml b/nlp/inverse_text_normalisation_eng_v0.1.yaml index 8f358dd97..2734fe4eb 100644 --- a/nlp/inverse_text_normalisation_eng_v0.1.yaml +++ b/nlp/inverse_text_normalisation_eng_v0.1.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 476630f4526ed7bf7b4bfcc2c86db7ef4023144c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:16:11 +0530 Subject: [PATCH 3322/5916] Update named-entity_recognition_eng.yaml --- nlp/named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 27b876361..031763f69 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -22,7 +22,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From be53c194b135675cf3e9f76dcc4ee63ec5649b41 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:16:20 +0530 Subject: [PATCH 3323/5916] Update named-entity_recognition_eng_v0.1.yaml --- nlp/named-entity_recognition_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng_v0.1.yaml b/nlp/named-entity_recognition_eng_v0.1.yaml index 7608d9e09..9e12480cf 100644 --- a/nlp/named-entity_recognition_eng_v0.1.yaml +++ b/nlp/named-entity_recognition_eng_v0.1.yaml @@ -24,7 +24,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From a60c439e8e3412ff9eee4dccb41ea155da7723b0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:16:30 +0530 Subject: [PATCH 3324/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index ba2106d30..18992c36c 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -22,7 +22,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 2098ff5b31b3e1411f802c921893aed9b3add98b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:16:43 +0530 Subject: [PATCH 3325/5916] Update named-entity_recognition_jp_v0.1.yaml --- nlp/named-entity_recognition_jp_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_jp_v0.1.yaml b/nlp/named-entity_recognition_jp_v0.1.yaml index 8df03ed8a..eea6e0283 100644 --- a/nlp/named-entity_recognition_jp_v0.1.yaml +++ b/nlp/named-entity_recognition_jp_v0.1.yaml @@ -22,7 +22,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 13db5ffa2509bb63e26f04d0c6f2e68c853d10e2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:16:53 +0530 Subject: [PATCH 3326/5916] Update named-entity_recognition_thai.yaml --- nlp/named-entity_recognition_thai.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 14fd42650..d530989e0 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -24,7 +24,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From f730b47dbfe9b3184c22ca2e15edde4ef5cddd39 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:17:02 +0530 Subject: [PATCH 3327/5916] Update named-entity_recognition_thai_v0.1.yaml --- nlp/named-entity_recognition_thai_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_thai_v0.1.yaml b/nlp/named-entity_recognition_thai_v0.1.yaml index 219b9a5fe..dd233ef88 100644 --- a/nlp/named-entity_recognition_thai_v0.1.yaml +++ b/nlp/named-entity_recognition_thai_v0.1.yaml @@ -22,7 +22,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From b4ab83345a105e7cb99e3cc34d0d6ef2156d7850 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:17:11 +0530 Subject: [PATCH 3328/5916] Update page_profiler_eng.yaml --- nlp/page_profiler_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index abf91973a..78b4b1743 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -21,7 +21,7 @@ x-inputfilelimit: |+ Process One URL per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From c9c3ea5a60c9247b386b4e9166fbe10b1c600bb0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:17:21 +0530 Subject: [PATCH 3329/5916] Update page_profiler_eng_v0.1.yaml --- nlp/page_profiler_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/page_profiler_eng_v0.1.yaml b/nlp/page_profiler_eng_v0.1.yaml index 64a7a6ed7..7b051ba12 100644 --- a/nlp/page_profiler_eng_v0.1.yaml +++ b/nlp/page_profiler_eng_v0.1.yaml @@ -22,7 +22,7 @@ x-inputfilelimit: |+ Process One URL per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From e1d122a502d620941f8220f25898513269dc2a3a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:17:31 +0530 Subject: [PATCH 3330/5916] Update page_profiler_eng_v2.0.yaml --- nlp/page_profiler_eng_v2.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/page_profiler_eng_v2.0.yaml b/nlp/page_profiler_eng_v2.0.yaml index 8bb8e9f47..fcc8293c6 100644 --- a/nlp/page_profiler_eng_v2.0.yaml +++ b/nlp/page_profiler_eng_v2.0.yaml @@ -15,7 +15,7 @@ x-inputfilelimit: |+ Process One URL per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 164b07134ab58e9b6e143d374cb4055e442a5775 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:17:40 +0530 Subject: [PATCH 3331/5916] Update page_profiler_jp.yaml --- nlp/page_profiler_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/page_profiler_jp.yaml b/nlp/page_profiler_jp.yaml index 9afd80dfb..e718ca5ff 100644 --- a/nlp/page_profiler_jp.yaml +++ b/nlp/page_profiler_jp.yaml @@ -20,7 +20,7 @@ x-inputfilelimit: |+ Process One URL per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 619e2339be8610e7a5d196f3fa6740b3a6995c57 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:17:49 +0530 Subject: [PATCH 3332/5916] Update page_profiler_thai.yaml --- nlp/page_profiler_thai.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/page_profiler_thai.yaml b/nlp/page_profiler_thai.yaml index 1f75e03b3..59ef619ee 100644 --- a/nlp/page_profiler_thai.yaml +++ b/nlp/page_profiler_thai.yaml @@ -20,7 +20,7 @@ x-inputfilelimit: |+ Process One URL per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 6b0770ab4e393da456e7f3aacf23a3aeb8225682 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:17:58 +0530 Subject: [PATCH 3333/5916] Update script_alignment.yaml --- nlp/script_alignment.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index bebf94c7b..8b1f2c322 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 01905c6d2c71da4be15d61907e3833249a0b2685 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:18:08 +0530 Subject: [PATCH 3334/5916] Update script_alignment_v0.1.yaml --- nlp/script_alignment_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/script_alignment_v0.1.yaml b/nlp/script_alignment_v0.1.yaml index 6a06fde74..c7cae1b1c 100644 --- a/nlp/script_alignment_v0.1.yaml +++ b/nlp/script_alignment_v0.1.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 1868e3e2e0fdfdd5bd0187983490025ce0c061f1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:18:19 +0530 Subject: [PATCH 3335/5916] Update sentiment_analysis_and_sarcasm_detection.yaml --- nlp/sentiment_analysis_and_sarcasm_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/sentiment_analysis_and_sarcasm_detection.yaml b/nlp/sentiment_analysis_and_sarcasm_detection.yaml index 6386ab2e8..8b260cb95 100644 --- a/nlp/sentiment_analysis_and_sarcasm_detection.yaml +++ b/nlp/sentiment_analysis_and_sarcasm_detection.yaml @@ -13,7 +13,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 99c2c5a402c1899fd291413c8838cd7d854411b9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:18:27 +0530 Subject: [PATCH 3336/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index 3a93c5b80..486f7afed 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -19,7 +19,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 21ed3f8fb6637a6087e61d23234954105ab25791 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:18:39 +0530 Subject: [PATCH 3337/5916] Update spacy_ner_v0.1.yaml --- nlp/spacy_ner_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/spacy_ner_v0.1.yaml b/nlp/spacy_ner_v0.1.yaml index fa3aac927..1d391851c 100644 --- a/nlp/spacy_ner_v0.1.yaml +++ b/nlp/spacy_ner_v0.1.yaml @@ -20,7 +20,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From c868fbca361131a079a31b2ce4ba9cbb52c44365 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:18:48 +0530 Subject: [PATCH 3338/5916] Update taxonomy_matcher_eng.yaml --- nlp/taxonomy_matcher_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/taxonomy_matcher_eng.yaml b/nlp/taxonomy_matcher_eng.yaml index e40d9700a..2358eeed0 100644 --- a/nlp/taxonomy_matcher_eng.yaml +++ b/nlp/taxonomy_matcher_eng.yaml @@ -21,7 +21,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From e0945e8e9e193be2fe3e09451a38b32ec641ce38 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:19:03 +0530 Subject: [PATCH 3339/5916] Update taxonomy_matcher_eng_v0.1.yaml --- nlp/taxonomy_matcher_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/taxonomy_matcher_eng_v0.1.yaml b/nlp/taxonomy_matcher_eng_v0.1.yaml index fb64033ee..3392c6e48 100644 --- a/nlp/taxonomy_matcher_eng_v0.1.yaml +++ b/nlp/taxonomy_matcher_eng_v0.1.yaml @@ -22,7 +22,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 74001b27c1eceaddf281d8ba3e92026c3b0b6ec1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:19:14 +0530 Subject: [PATCH 3340/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 6a40ad50b..ec27f3bac 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -15,7 +15,7 @@ x-inputfilelimit: |+ Process up to 512 words per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From df05c69de47fb2509a292910fb86f08c77bf9a7c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:19:23 +0530 Subject: [PATCH 3341/5916] Update word_scoring_and_suggestions.yaml --- nlp/word_scoring_and_suggestions.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/word_scoring_and_suggestions.yaml b/nlp/word_scoring_and_suggestions.yaml index 7e7d8557c..0703cc6a9 100644 --- a/nlp/word_scoring_and_suggestions.yaml +++ b/nlp/word_scoring_and_suggestions.yaml @@ -12,7 +12,7 @@ info: x-inputfilelimit: |+ Process up to 50 words per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 70478a9de645e130306aaf7fd61803f15dcd3596 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:19:32 +0530 Subject: [PATCH 3342/5916] Update word_sense_disambiguation_eng.yaml --- nlp/word_sense_disambiguation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/word_sense_disambiguation_eng.yaml b/nlp/word_sense_disambiguation_eng.yaml index f8e180e55..9b036ae6c 100644 --- a/nlp/word_sense_disambiguation_eng.yaml +++ b/nlp/word_sense_disambiguation_eng.yaml @@ -19,7 +19,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 86725d9eb0b54f69f00fe057c671c8175a2648d1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:19:40 +0530 Subject: [PATCH 3343/5916] Update word_sense_disambiguation_eng_v0.1.yaml --- nlp/word_sense_disambiguation_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/word_sense_disambiguation_eng_v0.1.yaml b/nlp/word_sense_disambiguation_eng_v0.1.yaml index 17501161a..0d2b5bc5a 100644 --- a/nlp/word_sense_disambiguation_eng_v0.1.yaml +++ b/nlp/word_sense_disambiguation_eng_v0.1.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 5000 characters per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 698a90f4afa0ef9460b541c099b364359b873b8b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:20:40 +0530 Subject: [PATCH 3344/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index f1ef62ba4..a5f869913 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 4c7809a49796a10a49200a6319d1b13d0ebd1438 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:20:50 +0530 Subject: [PATCH 3345/5916] Update base64-decoder.yaml --- utility/base64-decoder.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64-decoder.yaml b/utility/base64-decoder.yaml index d2a5748dd..9e4ba0958 100644 --- a/utility/base64-decoder.yaml +++ b/utility/base64-decoder.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From f30aed1c9c04f88a8b27a8e6403cd898a4a26b78 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:20:59 +0530 Subject: [PATCH 3346/5916] Update base64-encoder.yaml --- utility/base64-encoder.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64-encoder.yaml b/utility/base64-encoder.yaml index 23a807c75..524a18145 100644 --- a/utility/base64-encoder.yaml +++ b/utility/base64-encoder.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 2481262e02b388e01b530f37beb976ec055b1f05 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:21:08 +0530 Subject: [PATCH 3347/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index 8da41971b..aff1cd51d 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 742e6dd2877408dcbdc1e0a4ab327aaf18d492d4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:21:16 +0530 Subject: [PATCH 3348/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index 4796c9858..a8e73a8f8 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 411bad5ebbfc2f544c89c5fc46a433c0d81d8d2b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:21:26 +0530 Subject: [PATCH 3349/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 9df8b4235..387f8017f 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 3.5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 42a1cad7bfc43c5bdc1f2571adc39c837c496050 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:21:28 +0530 Subject: [PATCH 3350/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index bcc92df5f..72e54fbb5 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -9,8 +9,7 @@ info: - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/alibaba_chi_asr + The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. You may also need: The file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf From 07f9d0dbcd93a38cece0c22a1edc3a32b800ae74 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:21:35 +0530 Subject: [PATCH 3351/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index f5382cc1f..7aff5376a 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -11,7 +11,7 @@ info: x-inputfilelimit: |+ Process Single Date String per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From b3e70715611d73785b2b58e8d08da6fffdd696d8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:21:45 +0530 Subject: [PATCH 3352/5916] Update decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index ece810057..3348292a3 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 512 characters of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From afc62d1f916c1d0582b17257047fdd418606baa3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:21:55 +0530 Subject: [PATCH 3353/5916] Update document_conversion_eng.yaml --- utility/document_conversion_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml index 7d0397221..3bf74f394 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 7 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From a139432b9316c096135e844304f6426ce69c431f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:22:04 +0530 Subject: [PATCH 3354/5916] Update encryption_using_pki_key.yaml --- utility/encryption_using_pki_key.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key.yaml index 89acf2a7d..00cface93 100644 --- a/utility/encryption_using_pki_key.yaml +++ b/utility/encryption_using_pki_key.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 512 characters of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 6e593262dde4faf42442236fb98f615ec63a99af Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:22:13 +0530 Subject: [PATCH 3355/5916] Update get_ip.yaml --- utility/get_ip.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index 48309ab4d..946d64207 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -15,7 +15,7 @@ info: x-inputfilelimit: |+ Process up to One IP per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From c9d8daf443007f987b77062e8814a5bb14fcca99 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:22:22 +0530 Subject: [PATCH 3356/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index 1384d1912..d0db31c09 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 3.5 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 11a725b195821b8b55487d614eb0b740bc92cf82 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:22:31 +0530 Subject: [PATCH 3357/5916] Update newspaper_article_scraper.yaml --- utility/newspaper_article_scraper.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/newspaper_article_scraper.yaml b/utility/newspaper_article_scraper.yaml index 32d6c356a..ff40775dc 100644 --- a/utility/newspaper_article_scraper.yaml +++ b/utility/newspaper_article_scraper.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process One News URL per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 49f177f1a5fb9e3e8c95dcb9ff5d42fb83a794fe Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:22:45 +0530 Subject: [PATCH 3358/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index 1e7003717..262cd6586 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -24,7 +24,7 @@ info: x-inputfilelimit: |+ Process up to 7 MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 8a263d0b8674be2f58cf05977255439ab54bf011 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:22:55 +0530 Subject: [PATCH 3359/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 909788108..c913a8fae 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process one byte length per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 409c7dbc8f4739c7d505be58ab56868477d9060b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:23:05 +0530 Subject: [PATCH 3360/5916] Update urls_retrieval.yaml --- utility/urls_retrieval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/urls_retrieval.yaml b/utility/urls_retrieval.yaml index 6157b3ee0..ba5ec2e70 100644 --- a/utility/urls_retrieval.yaml +++ b/utility/urls_retrieval.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process 500 URL per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From cf5df9fed54052648467dd082cf712538e802bdf Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:23:14 +0530 Subject: [PATCH 3361/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index 183970d5c..26e2052b6 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 0a455f0ab392f8e30df127730188449f30972a04 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:23:23 +0530 Subject: [PATCH 3362/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index 08b3cbe7e..147342b72 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -17,7 +17,7 @@ info: x-inputfilelimit: |+ Process up to 10MB of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 67b5c1a90cfee8e456d3a060f766b5862c2c9ce8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:23:36 +0530 Subject: [PATCH 3363/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index b46e58908..69224c387 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -66,7 +66,7 @@ info: x-inputfilelimit: |+ Process One URL per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 689498d0eaaef529ccc9b755c2ecfaeea0e5a6da Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:24:02 +0530 Subject: [PATCH 3364/5916] Update wikipedia.yaml --- utility/wikipedia.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/wikipedia.yaml b/utility/wikipedia.yaml index dec76d9b4..8611a2301 100644 --- a/utility/wikipedia.yaml +++ b/utility/wikipedia.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process Single String per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 9a02bd2b90286d422ce6fd203e5ca325982d49f2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:24:12 +0530 Subject: [PATCH 3365/5916] Update wikipedia_retrieval_v0.1.yaml --- utility/wikipedia_retrieval_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/wikipedia_retrieval_v0.1.yaml b/utility/wikipedia_retrieval_v0.1.yaml index 0b03da8ba..91c5c8ba9 100644 --- a/utility/wikipedia_retrieval_v0.1.yaml +++ b/utility/wikipedia_retrieval_v0.1.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From ce461c2211a80ce2ed38302363c9aead32418070 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:24:20 +0530 Subject: [PATCH 3366/5916] Update youtube_video_downloader.yaml --- utility/youtube_video_downloader.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/youtube_video_downloader.yaml b/utility/youtube_video_downloader.yaml index bd3e984fc..1eb1d9ab7 100644 --- a/utility/youtube_video_downloader.yaml +++ b/utility/youtube_video_downloader.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 24d755b19e0ffa2fc59753ab52bba1f5b694a6c5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:25:14 +0530 Subject: [PATCH 3367/5916] Update alibaba_chinese_asr.yaml --- voice/alibaba_chinese_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chinese_asr.yaml b/voice/alibaba_chinese_asr.yaml index bde0ed929..2c3a56300 100644 --- a/voice/alibaba_chinese_asr.yaml +++ b/voice/alibaba_chinese_asr.yaml @@ -17,7 +17,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 50ad9069cc0bd4dfa623251cae4f48def462c415 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:25:24 +0530 Subject: [PATCH 3368/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 8260ccb32..e7bbafc6e 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From b614a9ed226f7d08dcedb4a940834e50a075315a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:25:32 +0530 Subject: [PATCH 3369/5916] Update asr_with_voice_activity_detection_eng_v0.1.yaml --- voice/asr_with_voice_activity_detection_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml index d68ebd089..92e2c4139 100644 --- a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml +++ b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From c23746117c9da12042b33222ac31f4fc420d40db Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:25:41 +0530 Subject: [PATCH 3370/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index a55d9e81e..eefb6fb41 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -24,7 +24,7 @@ info: x-inputfilelimit: |+ Process up to 20 seconds of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 22a503343554ac9c00397780074e11be685cf925 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:25:49 +0530 Subject: [PATCH 3371/5916] Update automatic_speech_recognition_chi_v0.1.yaml --- voice/automatic_speech_recognition_chi_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_v0.1.yaml b/voice/automatic_speech_recognition_chi_v0.1.yaml index c793387ec..3785d0a0c 100644 --- a/voice/automatic_speech_recognition_chi_v0.1.yaml +++ b/voice/automatic_speech_recognition_chi_v0.1.yaml @@ -23,7 +23,7 @@ info: x-inputfilelimit: |+ Process up to 20 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 49477650976de6d0eed2a22604bb42ef270adb6a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:25:58 +0530 Subject: [PATCH 3372/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 5ce73bd73..248fd554e 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From a836f20e0acea9a4e5b00dd0b2f181f963db920c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:26:09 +0530 Subject: [PATCH 3373/5916] Update automatic_speech_recognition_eng_sg.yaml --- voice/automatic_speech_recognition_eng_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_sg.yaml b/voice/automatic_speech_recognition_eng_sg.yaml index 927546d31..4d41022be 100644 --- a/voice/automatic_speech_recognition_eng_sg.yaml +++ b/voice/automatic_speech_recognition_eng_sg.yaml @@ -17,7 +17,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From fb46c108fe18fb4af9595529da2ce790707dbf91 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:26:17 +0530 Subject: [PATCH 3374/5916] Update automatic_speech_recognition_eng_v0.1.yaml --- voice/automatic_speech_recognition_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_v0.1.yaml b/voice/automatic_speech_recognition_eng_v0.1.yaml index 0b3da35a0..f2ba612fd 100644 --- a/voice/automatic_speech_recognition_eng_v0.1.yaml +++ b/voice/automatic_speech_recognition_eng_v0.1.yaml @@ -14,7 +14,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 451c32f04e23037b1b1804692f799b6612d3b3ea Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:26:26 +0530 Subject: [PATCH 3375/5916] Update automatic_speech_recognition_eng_v1.0.yaml --- voice/automatic_speech_recognition_eng_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_v1.0.yaml b/voice/automatic_speech_recognition_eng_v1.0.yaml index b2b88dbca..db11d56e4 100644 --- a/voice/automatic_speech_recognition_eng_v1.0.yaml +++ b/voice/automatic_speech_recognition_eng_v1.0.yaml @@ -18,7 +18,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 1547a12bfe7f110eca9074599ae1093c465ac0e4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:26:34 +0530 Subject: [PATCH 3376/5916] Update online_automatic_speech_recognition_eng.yaml --- voice/online_automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/online_automatic_speech_recognition_eng.yaml b/voice/online_automatic_speech_recognition_eng.yaml index 582e742c9..3b5fd72f2 100644 --- a/voice/online_automatic_speech_recognition_eng.yaml +++ b/voice/online_automatic_speech_recognition_eng.yaml @@ -11,7 +11,7 @@ info: x-inputfilelimit: |+ Process up to 60 mins/socket of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per every mins. x-notes: |+ From 27e7049367fd601595687cc34045d3e6ed992ef0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:26:42 +0530 Subject: [PATCH 3377/5916] Update online_automatic_speech_recognition_eng_streaming.yaml --- voice/online_automatic_speech_recognition_eng_streaming.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/online_automatic_speech_recognition_eng_streaming.yaml b/voice/online_automatic_speech_recognition_eng_streaming.yaml index d959f7484..288c95a21 100644 --- a/voice/online_automatic_speech_recognition_eng_streaming.yaml +++ b/voice/online_automatic_speech_recognition_eng_streaming.yaml @@ -9,7 +9,7 @@ info: x-inputfilelimit: |+ Process up to 10000 kb of data or chat per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ From 7e42589e701a0c8822a61b05108ca3b21ea575e7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:26:51 +0530 Subject: [PATCH 3378/5916] Update online_command_automatic_speech_recognition_eng.yaml --- voice/online_command_automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/online_command_automatic_speech_recognition_eng.yaml b/voice/online_command_automatic_speech_recognition_eng.yaml index 4fe2b9216..d82c6cbe0 100644 --- a/voice/online_command_automatic_speech_recognition_eng.yaml +++ b/voice/online_command_automatic_speech_recognition_eng.yaml @@ -6,7 +6,7 @@ info: x-inputfilelimit: |+ Process up to 60 mins/socket of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per every mins. x-notes: |+ From cf6d2b33f6c7bfff24237ec5e1896e1ffd1958ec Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:26:59 +0530 Subject: [PATCH 3379/5916] Update speaker_diarization.yaml --- voice/speaker_diarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization.yaml b/voice/speaker_diarization.yaml index a748a662a..b7ff986d6 100644 --- a/voice/speaker_diarization.yaml +++ b/voice/speaker_diarization.yaml @@ -13,7 +13,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From acb00a70d282b5bdbf04ebf5eb2e52b963e47af2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:27:07 +0530 Subject: [PATCH 3380/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 10aa970b5..8c87e94f6 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From a37500c0aae36119cb9fde758db6024a088869d6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:27:16 +0530 Subject: [PATCH 3381/5916] Update text-to-speech_eng_ncs.yaml --- voice/text-to-speech_eng_ncs.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng_ncs.yaml b/voice/text-to-speech_eng_ncs.yaml index c3005766f..bd80b7ebe 100644 --- a/voice/text-to-speech_eng_ncs.yaml +++ b/voice/text-to-speech_eng_ncs.yaml @@ -12,7 +12,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From fc7bb7d42332ba36b917c79b0bf1bb8d8595a90f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:27:24 +0530 Subject: [PATCH 3382/5916] Update text-to-speech_eng_ncs_v0.2.yaml --- voice/text-to-speech_eng_ncs_v0.2.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng_ncs_v0.2.yaml b/voice/text-to-speech_eng_ncs_v0.2.yaml index 40cb3bc67..122564fd8 100644 --- a/voice/text-to-speech_eng_ncs_v0.2.yaml +++ b/voice/text-to-speech_eng_ncs_v0.2.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 14d1c6821039d119c0bdc070e42408668c5368b8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:27:33 +0530 Subject: [PATCH 3383/5916] Update text-to-speech_eng_ncs_v0.3.yaml --- voice/text-to-speech_eng_ncs_v0.3.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng_ncs_v0.3.yaml b/voice/text-to-speech_eng_ncs_v0.3.yaml index ce184d7e1..5f6e9a2a4 100644 --- a/voice/text-to-speech_eng_ncs_v0.3.yaml +++ b/voice/text-to-speech_eng_ncs_v0.3.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 171512f2bf7dd6e80b1bc226b7e8869d80712f13 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:27:41 +0530 Subject: [PATCH 3384/5916] Update text-to-speech_eng_ncs_v0.4.yaml --- voice/text-to-speech_eng_ncs_v0.4.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng_ncs_v0.4.yaml b/voice/text-to-speech_eng_ncs_v0.4.yaml index 3eb7a0ecc..a99de66c1 100644 --- a/voice/text-to-speech_eng_ncs_v0.4.yaml +++ b/voice/text-to-speech_eng_ncs_v0.4.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 809dffedac28ab236caee3c637c45ff3bfa583c3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:27:49 +0530 Subject: [PATCH 3385/5916] Update text_to_speech_chi.yaml --- voice/text_to_speech_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text_to_speech_chi.yaml b/voice/text_to_speech_chi.yaml index 8fc542431..fef0290d6 100644 --- a/voice/text_to_speech_chi.yaml +++ b/voice/text_to_speech_chi.yaml @@ -22,7 +22,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + vThe response rate is slower than the small file API due to large data x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 6519059ff2f0c3169f3a0f34ae8af794057b81c7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:27:59 +0530 Subject: [PATCH 3386/5916] Update text_to_speech_eng_v0.1.yaml --- voice/text_to_speech_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text_to_speech_eng_v0.1.yaml b/voice/text_to_speech_eng_v0.1.yaml index fa500326e..830f5bae9 100644 --- a/voice/text_to_speech_eng_v0.1.yaml +++ b/voice/text_to_speech_eng_v0.1.yaml @@ -24,7 +24,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + v x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 5bd95c09fe94e20ee4936cbd131737cdce448086 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:28:07 +0530 Subject: [PATCH 3387/5916] Update text_to_speech_eng_v0.1.yaml --- voice/text_to_speech_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text_to_speech_eng_v0.1.yaml b/voice/text_to_speech_eng_v0.1.yaml index 830f5bae9..c7bd68af9 100644 --- a/voice/text_to_speech_eng_v0.1.yaml +++ b/voice/text_to_speech_eng_v0.1.yaml @@ -24,7 +24,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - v + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 8c3131c405a9b8b2a1a5e26f44e822cce28a1360 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:28:15 +0530 Subject: [PATCH 3388/5916] Update text_to_speech_jp.yaml --- voice/text_to_speech_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index 652872eb6..64d1850b2 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -16,7 +16,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From fffa8fa3adfa676073d89a1282e2f2c53ca0c278 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:28:25 +0530 Subject: [PATCH 3389/5916] Update voice_activity_detection_eng.yaml --- voice/voice_activity_detection_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/voice_activity_detection_eng.yaml b/voice/voice_activity_detection_eng.yaml index 24426ede4..3e75eaee8 100644 --- a/voice/voice_activity_detection_eng.yaml +++ b/voice/voice_activity_detection_eng.yaml @@ -20,7 +20,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 4ff42a246faa610e3c258af7b18b549ee11f4361 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 29 Dec 2021 18:28:34 +0530 Subject: [PATCH 3390/5916] Update voice_activity_detection_eng_v0.1.yaml --- voice/voice_activity_detection_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/voice_activity_detection_eng_v0.1.yaml b/voice/voice_activity_detection_eng_v0.1.yaml index 4525ef648..1bdbcf37b 100644 --- a/voice/voice_activity_detection_eng_v0.1.yaml +++ b/voice/voice_activity_detection_eng_v0.1.yaml @@ -23,7 +23,7 @@ info: x-inputfilelimit: |+ Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 816c49e8f48ddd448d5568e8fa5432c885062590 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:08:56 +0530 Subject: [PATCH 3391/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 006db4cf6..0ac367b63 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -6,8 +6,8 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. You may also need: - The file upload form https://sentient.io/upload/form.html + + The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf version: '0.1.0' From 1f8d742059cbf2712b119c612ef3486c57bd7fb7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:10:01 +0530 Subject: [PATCH 3392/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 0ac367b63..7d8ea4019 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -6,7 +6,6 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf From 9d5ad9cbc1873e3026c6c3bfe91e2c23f5596c8f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:12:37 +0530 Subject: [PATCH 3393/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 7d8ea4019..73dfe5bd5 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -5,7 +5,7 @@ info: This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf From 08c557402eeae74ba407a19c2ccdbf15fdadbb8f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:13:55 +0530 Subject: [PATCH 3394/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 7211876ba..ef9f9205b 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -5,8 +5,8 @@ info: This Computer Vision microservice tracks and counts people appearing in the input video. This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. - The file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. + The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/people_counting.pdf version: '0.1.0' From 194590511f4094abb451e9ecebeb52d53b98ad2b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:15:55 +0530 Subject: [PATCH 3395/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- .../asr_with_voice_activity_detection_eng_large_file.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index f1c937cb8..c106b534a 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -6,9 +6,10 @@ info: This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. version: '0.1.0' x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.The guide below provides detailed steps to try out processing a large file without any coding. You may also need: - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng - The file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + + - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng + - The file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/vadasr.pdf x-subscribelink: asr_with_voice_activity_detection_eng From b29c091dfc8dd2ead974056ced39d34479fa9715 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:23:37 +0530 Subject: [PATCH 3396/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 73dfe5bd5..356cb7e13 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -5,8 +5,7 @@ info: This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf version: '0.1.0' From f13ce8ca8f681127b7517382aec5054edd95f033 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:24:14 +0530 Subject: [PATCH 3397/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 72e54fbb5..406a9fdc5 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -8,9 +8,7 @@ info: - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. You may also need: - The file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf version: '0.1.0' From 8ae607b9a4ef0e8aa1539185653e791f9906723a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:24:54 +0530 Subject: [PATCH 3398/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index ef9f9205b..a691fc9dd 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -5,8 +5,7 @@ info: This Computer Vision microservice tracks and counts people appearing in the input video. This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/people_counting.pdf version: '0.1.0' From d04fa1d51f3e13906a1df0b4ecfd6a2f265c44a6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:26:59 +0530 Subject: [PATCH 3399/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 47f6adfe1..e21c78a95 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -8,9 +8,7 @@ info: - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. - The guide below provides detailed steps to try out processing a large file without any coding. Additional parameter not required. You may also need: - The file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From da2e3f1ce84e4a4f8dc28192a86e8bf7094dd2e7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 29 Dec 2021 22:29:41 +0530 Subject: [PATCH 3400/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 356cb7e13..7c8ba401b 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Text Summarization (Large File) description: |+ - This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. + This NLP microservice takes in any given input text blurb and generates a summary. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html From 3a8b20378c1c6cdb606a05f1b48bb133e1c8427d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 09:18:42 +0530 Subject: [PATCH 3401/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 9c49dce93..bcfe22aa1 100644 --- a/index.yaml +++ b/index.yaml @@ -62,7 +62,7 @@ voice: 1.2.1: 'asr_with_voice_activity_detection_eng.yaml' 0.1.0: 'asr_with_voice_activity_detection_eng_v0.1.yaml' asr_with_voice_activity_detection_eng_large_file: - title: ASR with Voice Activity Detection ENG Large File + title: ASR with Voice Activity Detection ENG (Large File) versions: 0.1.0: 'asr_with_voice_activity_detection_eng_large_file.yaml' voice_activity_detection_eng: @@ -145,7 +145,7 @@ nlp: versions: 0.2.0: 'text_summarization.yaml' text_summarization_large_file: - title: Text Summarization Large File + title: Text Summarization (Large File) versions: 0.1.0: 'text_summarization_large_file.yaml' sentiment_analysis_and_sarcasm_detection: From 7b2f9b86d5f8aa77da5162af8b786d0d5ec92fdd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 09:18:55 +0530 Subject: [PATCH 3402/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index c106b534a..c3308e714 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: ASR with Voice Activity Detection ENG (Large)) + title: ASR with Voice Activity Detection ENG (Large) description: |+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. From 95f23b48e164db6186343251d52fbf4908bc6c3a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 09:21:31 +0530 Subject: [PATCH 3403/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index c3308e714..be8033711 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: ASR with Voice Activity Detection ENG (Large) + title: ASR with Voice Activity Detection ENG (Large File) description: |+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. From 23ed41384294e48342298b043ab3f12242a73c3d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 09:27:31 +0530 Subject: [PATCH 3404/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index e21c78a95..61aec7310 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Google ASR Large File + title: Google ASR (Large File) description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech . The server returns the recognition result in a JSON format as a response. From a06ec058cbdcd484e0ea6013932c41091fe9cec1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 09:28:42 +0530 Subject: [PATCH 3405/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index bcfe22aa1..a65a99a43 100644 --- a/index.yaml +++ b/index.yaml @@ -75,11 +75,11 @@ voice: versions: 0.1.0: 'alibaba_chinese_asr.yaml' alibaba_chi_asr_large_file: - title: Alibaba Chinese ASR Large File + title: Alibaba Chinese ASR (Large File) versions: 0.1.0: 'alibaba_chinese_asr_large_file.yaml' google_asr_large_file: - title: Google ASR Large File + title: Google ASR (Large File) versions: 0.1.0: 'google_asr_large_file.yaml' speaker_diarization: From 5a1835ab2eb5b38454d843932e73518f8fe2b041 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 10:45:50 +0530 Subject: [PATCH 3406/5916] Update index.yaml --- index.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/index.yaml b/index.yaml index a65a99a43..16f14c071 100644 --- a/index.yaml +++ b/index.yaml @@ -31,6 +31,7 @@ voice: automatic_speech_recognition_chi: title: Automatic Speech Recognition CHI versions: + 2.0.0: 'automatic_speech_recognition_chi2.0.yaml' 1.0.0: 'automatic_speech_recognition_chi.yaml' online_automatic_speech_recognition_eng: title: Online Automatic Speech Recognition ENG From 8b8dba165f48e303b2e1da2dbff3459c618d8b60 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 10:45:52 +0530 Subject: [PATCH 3407/5916] Update and rename alibaba_chinese_asr.yaml to automatic_speech_recognition_chi2.0.yaml --- ... automatic_speech_recognition_chi2.0.yaml} | 38 +++++++++++++++---- 1 file changed, 31 insertions(+), 7 deletions(-) rename voice/{alibaba_chinese_asr.yaml => automatic_speech_recognition_chi2.0.yaml} (86%) diff --git a/voice/alibaba_chinese_asr.yaml b/voice/automatic_speech_recognition_chi2.0.yaml similarity index 86% rename from voice/alibaba_chinese_asr.yaml rename to voice/automatic_speech_recognition_chi2.0.yaml index 2c3a56300..9e9c879fb 100644 --- a/voice/alibaba_chinese_asr.yaml +++ b/voice/automatic_speech_recognition_chi2.0.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Alibaba Chinese ASR + title: Automatic Speech Recognition CHI description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. The server returns the recognition result in a JSON format as a response. @@ -9,7 +9,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - version: '0.1.0' + version: '2.0.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: small file x-apitypedescription: |+ @@ -27,10 +27,10 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Aug 20, 2021" +- name: "v2.0.0" + description: "Published Date - Dec 30, 2021" paths: - /microservices/voice/alibabachiasr/v0/getpredictions: + /microservices/voice/asrsch/v2/getpredictions: post: tags: - v0.1.0 @@ -262,14 +262,38 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 30, 2021 + x-details: Upgrading with Samplerate, Encoding etc.. + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Standardizing Input and Output Updated. + description: Old Version + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 28, 2018 + x-details: Patch update on bug fixes + description: Depreciating on Apr 06, 2021 v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Aug 20, 2021 + example: Published Date - Jun 21, 2018 x-details: Initial version release - description: Latest Version + description: Archived securitySchemes: APIAuthorizer: type: apiKey From 58837b7e8f90b84bfd1e983ccd0e7df58390af74 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 10:46:30 +0530 Subject: [PATCH 3408/5916] Update index.yaml --- index.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/index.yaml b/index.yaml index 16f14c071..f8732d094 100644 --- a/index.yaml +++ b/index.yaml @@ -74,11 +74,7 @@ voice: alibaba_chi_asr: title: Alibaba Chinese ASR versions: - 0.1.0: 'alibaba_chinese_asr.yaml' - alibaba_chi_asr_large_file: - title: Alibaba Chinese ASR (Large File) - versions: - 0.1.0: 'alibaba_chinese_asr_large_file.yaml' + 0.1.0: 'alibaba_chinese_asr.yaml' google_asr_large_file: title: Google ASR (Large File) versions: From d3f85fa95d0b9f03c735a8887806018c79ec913f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 11:00:28 +0530 Subject: [PATCH 3409/5916] Update index.yaml --- index.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/index.yaml b/index.yaml index f8732d094..29f71f39b 100644 --- a/index.yaml +++ b/index.yaml @@ -70,11 +70,7 @@ voice: title: Voice Activity Detection ENG versions: 1.0.1: 'voice_activity_detection_eng.yaml' - 0.1.0: 'voice_activity_detection_eng_v0.1.yaml' - alibaba_chi_asr: - title: Alibaba Chinese ASR - versions: - 0.1.0: 'alibaba_chinese_asr.yaml' + 0.1.0: 'voice_activity_detection_eng_v0.1.yaml' google_asr_large_file: title: Google ASR (Large File) versions: @@ -83,6 +79,10 @@ voice: title: Speaker Diarization versions: 0.1.0: 'speaker_diarization.yaml' + alibaba_chi_asr_large_file: + title: Alibaba Chinese ASR (Large File) + versions: + 0.1.0: 'alibaba_chinese_asr_large_file.yaml' nlp: inverse_text_normalisation_eng: title: Inverse Text Normalisation ENG From 45d7def8e582d50ecdcf733411ff08a65b2bbb8c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 12:00:04 +0530 Subject: [PATCH 3410/5916] Update alibaba_chinese_asr_large_file.yaml --- voice/alibaba_chinese_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/alibaba_chinese_asr_large_file.yaml index 406a9fdc5..5fdfb1810 100644 --- a/voice/alibaba_chinese_asr_large_file.yaml +++ b/voice/alibaba_chinese_asr_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Alibaba Chinese ASR (Large File) + title: Automatic Speech Recognition CHI (Large File) description: |+ This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. From 1904b04fa275a3cab2d98ffcd6c1de6c3604b604 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 12:01:57 +0530 Subject: [PATCH 3411/5916] Update index.yaml --- index.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index 29f71f39b..155705c30 100644 --- a/index.yaml +++ b/index.yaml @@ -79,10 +79,10 @@ voice: title: Speaker Diarization versions: 0.1.0: 'speaker_diarization.yaml' - alibaba_chi_asr_large_file: - title: Alibaba Chinese ASR (Large File) + automatic_speech_recognition_chi_large_file: + title: Automatic Speech Recognition CHI (Large File) versions: - 0.1.0: 'alibaba_chinese_asr_large_file.yaml' + 0.1.0: 'automatic_speech_recognition_chi_large_file.yaml' nlp: inverse_text_normalisation_eng: title: Inverse Text Normalisation ENG From eed65ee607f13a3c289bc450cf6da5a50bc1c368 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 12:02:00 +0530 Subject: [PATCH 3412/5916] Rename alibaba_chinese_asr_large_file.yaml to automatic_speech_recognition_chi_large_file.yaml --- ...file.yaml => automatic_speech_recognition_chi_large_file.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{alibaba_chinese_asr_large_file.yaml => automatic_speech_recognition_chi_large_file.yaml} (100%) diff --git a/voice/alibaba_chinese_asr_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml similarity index 100% rename from voice/alibaba_chinese_asr_large_file.yaml rename to voice/automatic_speech_recognition_chi_large_file.yaml From f40fb9649f43cd6e766045dd6a4913f73d80317c Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Thu, 30 Dec 2021 12:10:37 +0530 Subject: [PATCH 3413/5916] Update text_to_speech_chi.yaml --- voice/text_to_speech_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text_to_speech_chi.yaml b/voice/text_to_speech_chi.yaml index fef0290d6..8fc542431 100644 --- a/voice/text_to_speech_chi.yaml +++ b/voice/text_to_speech_chi.yaml @@ -22,7 +22,7 @@ info: x-inputfilelimit: |+ Process up to 3000 characters of data per API call. x-responsetime: |+ - vThe response rate is slower than the small file API due to large data + The response rate is slower than the small file API due to large data x-billingmethod: |+ The API is billed by per request. x-notes: |+ From 20520a80580a9c34907b02a044431f391364e45e Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Thu, 30 Dec 2021 12:26:21 +0530 Subject: [PATCH 3414/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index 486f7afed..28dd9dfed 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -195,7 +195,7 @@ components: x-name: quantity type: array example: [[about one degree,85 miles,137 kilometres,1,8]] - description: Measurements, as of weight or distance. + description: Measurements, as of weight or distance. ordinal: x-name: ordinal type: array From 5486dbdd9e15be6ec1df9e9ffba9ea1b244dbf62 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Thu, 30 Dec 2021 12:37:06 +0530 Subject: [PATCH 3415/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 212f4a265..7b0b6b134 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -473,7 +473,7 @@ components: The following additional fields are added: 1. postalcode - list of postal code 2. location - lat / log of the carpark park - description: Depreciating on May 20, 2021 + description: Depreciating on May 20, 2021 v0.1.0: type: array items: From 09d7db177d682cf6a6adecd1d334c74d09a82496 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 13:01:45 +0530 Subject: [PATCH 3416/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index a691fc9dd..fa9190c53 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -12,17 +12,17 @@ info: x-subscribelink: people_counting_large_file x-apitype: large file x-apitypedescription: |+ - Fast | Single-Call | 10 MB/Call + Asyncronous | Batch | 1GB/File. x-inputfilelimit: |+ - Process up to 10 MB of data per API call. + Process up to 1 GB of File Size. x-responsetime: |+ - The response rate is slower than the small file API due to large data + The response rate is slower than the small file API due to large data. x-billingmethod: |+ - The API is billed by per request. + The API is billed by the amount of data transferred. x-notes: |+ - File size cannot exceed 10 MB. + Size cannot exceed 1 GB. x-apidetailsdesc: |+ - Track and counts people appearing in video. + Computer Vision microservice tracks and counts people appearing. servers: - url: 'https://dev-apis.sentient.io' tags: From afe870a4a27bc19822c848f5bae347fd884287a9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 13:39:31 +0530 Subject: [PATCH 3417/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 7c8ba401b..79c92f127 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 11, 2021" + description: "Published Date - Dec 30, 2021" paths: /async/microservices/nlp/textsummarisation/v0/getuploadurl: post: @@ -408,9 +408,9 @@ components: items: oneOf: - type: string - example: Published Date - Dec 23, 2021 + example: Published Date - Dec 30, 2021 x-details: Initial version release - description: Archived + description: Latest Version input: type: object required: From 6a6939e270d37395b3a3259f05226be6f776ad6b Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 30 Dec 2021 19:10:53 +1100 Subject: [PATCH 3418/5916] Add desc --- nlp/text_summarization_large_file.yaml | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 79c92f127..0d24c9e26 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -30,6 +30,8 @@ tags: description: "Published Date - Dec 30, 2021" paths: /async/microservices/nlp/textsummarisation/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file post: tags: - v0.1.0 @@ -125,6 +127,8 @@ paths: $ref: '#/components/schemas/input' required: true /upload: + description: |+ + Upload your file to start processing post: servers: - url: 'https://storage.googleapis.com/user_space_dev/' @@ -147,6 +151,8 @@ paths: example: message: Successfully Processed /async/microservices/nlp/textsummarisation/v0/getstatus: + description: |+ + Query for processing status get: tags: - v0.1.0 @@ -408,9 +414,9 @@ components: items: oneOf: - type: string - example: Published Date - Dec 30, 2021 + example: Published Date - Dec 23, 2021 x-details: Initial version release - description: Latest Version + description: Archived input: type: object required: From e1329602946f40f72ac83b1b1b3133a0851bc0ef Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:19:56 +0530 Subject: [PATCH 3419/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 5fdfb1810..9583dc406 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -33,6 +33,8 @@ tags: description: "Published Date - Dec 23, 2021" paths: /async/microservices/voice/alibabachiasr/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. post: tags: - v0.1.0 @@ -130,6 +132,8 @@ paths: $ref: '#/components/schemas/input' required: true /upload: + description: |+ + Upload your file to start processing. post: servers: - url: 'https://storage.googleapis.com/user_space_dev/' @@ -152,6 +156,8 @@ paths: example: message: Successfully Processed /async/microservices/voice/alibabachiasr/v0/getstatus: + description: |+ + Query for processing status. get: tags: - v0.1.0 @@ -413,9 +419,9 @@ components: items: oneOf: - type: string - example: Published Date - Dec 23, 2021 + example: Published Date - Dec 30, 2021 x-details: Initial version release - description: Archived + description: Latest Version input: type: object required: From 4286eca0716e2df8a9bd1041309fb6a3dc6d945d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:23:23 +0530 Subject: [PATCH 3420/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- ...with_voice_activity_detection_eng_large_file.yaml | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index be8033711..71ac22c8f 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -30,9 +30,11 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 11, 2021" + description: "Published Date - Dec 30, 2021" paths: /async/microservices/voice/vadasr/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. post: tags: - v0.1.0 @@ -130,6 +132,8 @@ paths: $ref: '#/components/schemas/input' required: true /upload: + description: |+ + Upload your file to start processing. post: servers: - url: 'https://storage.googleapis.com/user_space_dev/' @@ -152,6 +156,8 @@ paths: example: message: Successfully Processed /async/microservices/nlp/textsummarisation/v0/getstatus: + description: |+ + Query for processing status. get: tags: - v0.1.0 @@ -414,9 +420,9 @@ components: items: oneOf: - type: string - example: Published Date - Dec 23, 2021 + example: Published Date - Dec 30, 2021 x-details: Initial version release - description: Archived + description: Latest Version input: type: object required: From b7e149e7128f8cc0b0f38018617637e754c45e90 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:23:52 +0530 Subject: [PATCH 3421/5916] Create asr_with_voice_activity_detection_eng_large_file.yaml From 429ce7052027dbe086448eddfaa1d96502e52ffc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:24:15 +0530 Subject: [PATCH 3422/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 9583dc406..c4fa76ab0 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -30,7 +30,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 23, 2021" + description: "Published Date - Dec 30, 2021" paths: /async/microservices/voice/alibabachiasr/v0/getuploadurl: description: |+ From f8bb953de0c842bc170e7b729250d055469e80a7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:26:51 +0530 Subject: [PATCH 3423/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 61aec7310..b8e4203d9 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -30,9 +30,11 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 11, 2021" + description: "Published Date - Dec 30, 2021" paths: /async/microservices/voice/googleasr/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. post: tags: - v0.1.0 @@ -130,6 +132,8 @@ paths: $ref: '#/components/schemas/input' required: true /upload: + description: |+ + Upload your file to start processing. post: servers: - url: 'https://storage.googleapis.com/user_space_dev/' @@ -152,6 +156,8 @@ paths: example: message: Successfully Processed /async/microservices/voice/googleasr/v0/getstatus: + description: |+ + Query for processing status. get: tags: - v0.1.0 @@ -414,9 +420,9 @@ components: items: oneOf: - type: string - example: Published Date - Dec 23, 2021 + example: Published Date - Dec 30, 2021 x-details: Initial version release - description: Archived + description: Latest Version input: type: object required: From 08a030afb8c9fe23cac1eda4df7d3f3578bf3691 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:29:52 +0530 Subject: [PATCH 3424/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index fa9190c53..6bae03c6f 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -27,9 +27,11 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 11, 2021" + description: "Published Date - Dec 30, 2021" paths: /async/microservices/cv/peoplecounting/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. post: tags: - v0.1.0 @@ -125,6 +127,8 @@ paths: $ref: '#/components/schemas/input' required: true /upload: + description: |+ + Upload your file to start processing. post: servers: - url: 'https://storage.googleapis.com/user_space_dev/' @@ -147,6 +151,8 @@ paths: example: message: Successfully Processed /async/microservices/nlp/peoplecounting/v0/getstatus: + description: |+ + Query for processing status. get: tags: - v0.1.0 @@ -408,9 +414,9 @@ components: items: oneOf: - type: string - example: Published Date - Dec 23, 2021 + example: Published Date - Dec 30, 2021 x-details: Initial version release - description: Archived + description: Latest Version input: type: object required: From e09c1e26d8eccc13a053ea60078fdc732710c6bf Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:31:10 +0530 Subject: [PATCH 3425/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 0d24c9e26..93d097ac7 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -31,7 +31,7 @@ tags: paths: /async/microservices/nlp/textsummarisation/v0/getuploadurl: description: |+ - Get the pre-signed url to upload the file + Get the pre-signed url to upload the file. post: tags: - v0.1.0 @@ -128,7 +128,7 @@ paths: required: true /upload: description: |+ - Upload your file to start processing + Upload your file to start processing. post: servers: - url: 'https://storage.googleapis.com/user_space_dev/' @@ -152,7 +152,7 @@ paths: message: Successfully Processed /async/microservices/nlp/textsummarisation/v0/getstatus: description: |+ - Query for processing status + Query for processing status. get: tags: - v0.1.0 @@ -414,9 +414,9 @@ components: items: oneOf: - type: string - example: Published Date - Dec 23, 2021 + example: Published Date - Dec 30, 2021 x-details: Initial version release - description: Archived + description: Latest Version input: type: object required: From 3d89bc39ecf878d1f37e8dee2d73bdca38596810 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:44:22 +0530 Subject: [PATCH 3426/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index b8e4203d9..af8ade86c 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -25,7 +25,7 @@ info: x-notes: |+ Size cannot exceed 1 GB. x-apidetailsdesc: |+ - Supports recognizing speech for larger audio files. + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - url: 'https://dev-apis.sentient.io' tags: From 35e112a2eda53e08c3a7fe6b584fd08ad1228f56 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:44:52 +0530 Subject: [PATCH 3427/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index c4fa76ab0..eebd7c7ed 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,7 +25,7 @@ info: x-notes: |+ Size cannot exceed 1 GB. x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Larger Files. + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - url: 'https://dev-apis.sentient.io' tags: From 6b8737c5760953a6403b6c1423729b119e7e86cd Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:45:30 +0530 Subject: [PATCH 3428/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 71ac22c8f..5d742d1c4 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -25,7 +25,7 @@ info: x-notes: |+ Size cannot exceed 1 GB. x-apidetailsdesc: |+ - Combines Voice Activity Detection feature and Automatic Speech Recognition capabilities for Larger Files. + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - url: 'https://dev-apis.sentient.io' tags: From b60411c4d5582a0abaef7669f9f76376d2382c91 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:45:59 +0530 Subject: [PATCH 3429/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 6bae03c6f..dcb394a94 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -22,7 +22,7 @@ info: x-notes: |+ Size cannot exceed 1 GB. x-apidetailsdesc: |+ - Computer Vision microservice tracks and counts people appearing. + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - url: 'https://dev-apis.sentient.io' tags: From df337ccee5b25ad7f643b2a662bbd9caf1b56a3d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 14:47:11 +0530 Subject: [PATCH 3430/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 93d097ac7..b4c9574c8 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -22,7 +22,7 @@ info: x-notes: |+ Size cannot exceed 1 GB. x-apidetailsdesc: |+ - Input text blurb and generates a summary for larger files. + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - url: 'https://dev-apis.sentient.io' tags: From e7639c423ec0d9ebe98e0f9ea035d08d572cf09c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 15:02:19 +0530 Subject: [PATCH 3431/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 5d742d1c4..abc84cd27 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -155,7 +155,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/nlp/textsummarisation/v0/getstatus: + /async/microservices/voice/vadasr/v0/getstatus: description: |+ Query for processing status. get: From 8b08cba677b6243546c8725f3b9fb74e61d09cf8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 15:05:40 +0530 Subject: [PATCH 3432/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index dcb394a94..d91ecdb87 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -150,7 +150,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/nlp/peoplecounting/v0/getstatus: + /async/microservices/cv/peoplecounting/v0/getstatus: description: |+ Query for processing status. get: From 04decef2abcfb22a0afd1b6f5c3a3ca99581bc7f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 16:24:17 +0530 Subject: [PATCH 3433/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index eebd7c7ed..91a50cca5 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -32,7 +32,7 @@ tags: - name: "v0.1.0" description: "Published Date - Dec 30, 2021" paths: - /async/microservices/voice/alibabachiasr/v0/getuploadurl: + /async/microservices/voice/asrsch/v0/getuploadurl: description: |+ Get the pre-signed url to upload the file. post: @@ -155,7 +155,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/voice/alibabachiasr/v0/getstatus: + /async/microservices/voice/asrsch/v0/getstatus: description: |+ Query for processing status. get: From 12ad69af61c4d14041fc65046d012b3b81c67fa3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 17:06:15 +0530 Subject: [PATCH 3434/5916] Rename automatic_speech_recognition_chi.yaml to automatic_speech_recognition_chi1.0.yaml --- ...ognition_chi.yaml => automatic_speech_recognition_chi1.0.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{automatic_speech_recognition_chi.yaml => automatic_speech_recognition_chi1.0.yaml} (100%) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi1.0.yaml similarity index 100% rename from voice/automatic_speech_recognition_chi.yaml rename to voice/automatic_speech_recognition_chi1.0.yaml From 489c25774fa85900b4e710fe73e24c1515b8fd8f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 17:06:17 +0530 Subject: [PATCH 3435/5916] Rename automatic_speech_recognition_chi2.0.yaml to automatic_speech_recognition_chi.yaml --- ...ognition_chi2.0.yaml => automatic_speech_recognition_chi.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{automatic_speech_recognition_chi2.0.yaml => automatic_speech_recognition_chi.yaml} (100%) diff --git a/voice/automatic_speech_recognition_chi2.0.yaml b/voice/automatic_speech_recognition_chi.yaml similarity index 100% rename from voice/automatic_speech_recognition_chi2.0.yaml rename to voice/automatic_speech_recognition_chi.yaml From 59fcb8c94e4f59d847aa3efd75debe2a64a681e8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 17:06:38 +0530 Subject: [PATCH 3436/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 155705c30..307bf1a6d 100644 --- a/index.yaml +++ b/index.yaml @@ -31,8 +31,8 @@ voice: automatic_speech_recognition_chi: title: Automatic Speech Recognition CHI versions: - 2.0.0: 'automatic_speech_recognition_chi2.0.yaml' - 1.0.0: 'automatic_speech_recognition_chi.yaml' + 2.0.0: 'automatic_speech_recognition_chi.yaml' + 1.0.0: 'automatic_speech_recognition_chi1.0.yaml' online_automatic_speech_recognition_eng: title: Online Automatic Speech Recognition ENG versions: From d25b54de5e57a660bcc52a1ebeb2e5ec342fb4f0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 17:11:01 +0530 Subject: [PATCH 3437/5916] Rename automatic_speech_recognition_chi1.0.yaml to automatic_speech_recognition_chi_1.0.yaml --- ...tion_chi1.0.yaml => automatic_speech_recognition_chi_1.0.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{automatic_speech_recognition_chi1.0.yaml => automatic_speech_recognition_chi_1.0.yaml} (100%) diff --git a/voice/automatic_speech_recognition_chi1.0.yaml b/voice/automatic_speech_recognition_chi_1.0.yaml similarity index 100% rename from voice/automatic_speech_recognition_chi1.0.yaml rename to voice/automatic_speech_recognition_chi_1.0.yaml From 944360d6eb4162dca0289f876f6ceebca54a5ba5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Dec 2021 17:11:17 +0530 Subject: [PATCH 3438/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 307bf1a6d..3fb60a10e 100644 --- a/index.yaml +++ b/index.yaml @@ -32,7 +32,7 @@ voice: title: Automatic Speech Recognition CHI versions: 2.0.0: 'automatic_speech_recognition_chi.yaml' - 1.0.0: 'automatic_speech_recognition_chi1.0.yaml' + 1.0.0: 'automatic_speech_recognition_chi_1.0.yaml' online_automatic_speech_recognition_eng: title: Online Automatic Speech Recognition ENG versions: From 6dbac66e47b2a3407d2e5da28eee8b395806d2c5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 30 Dec 2021 17:47:11 +0530 Subject: [PATCH 3439/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 91a50cca5..a595cbb4f 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -10,7 +10,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf + https://storage.googleapis.com/lpdocs/docs/asrsch.pdf version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 3e92d23b045a375b8e0fb7239c6174d7da9f5a7e Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Sun, 2 Jan 2022 22:45:05 +0530 Subject: [PATCH 3440/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index 69224c387..4e4e9a6eb 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -188,7 +188,7 @@ components: description: The status of the API call success/failure results: type: object - example: {"data":"text content of the webpage","dataList": [{ "title": "imagelinks", "findType": "find_all", "tag": "img", "attribute": "src" }]} + example: {"data": "text content of the webpage","dataList": [{ "title": "imagelinks", "findType": "find_all", "tag": "img", "attribute": "src" }]} description: Json Object of returned results properties: data: From 9fe5a389bcc8df5ac290dc885a81c6ad1f6df0c6 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Sun, 2 Jan 2022 22:47:57 +0530 Subject: [PATCH 3441/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index 4e4e9a6eb..200f592b4 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -188,7 +188,7 @@ components: description: The status of the API call success/failure results: type: object - example: {"data": "text content of the webpage","dataList": [{ "title": "imagelinks", "findType": "find_all", "tag": "img", "attribute": "src" }]} + example: {"data": "text content of the webpage","dataList": [{ "title": "imagelinks", "findType": "find_all", "tag": "img", "attribute": "src" }]} description: Json Object of returned results properties: data: From c11e9641511fbde7784a179c50b1cebf379c8a8d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 4 Jan 2022 18:13:18 +0530 Subject: [PATCH 3442/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 9e9c879fb..1cb29ec0a 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -6,7 +6,7 @@ info: The server returns the recognition result in a JSON format as a response. x-additionalinfo: |+ Suggested Use Cases: - - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. + - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. version: '2.0.0' @@ -234,7 +234,7 @@ components: default: false example: pcm description: - The audio coding format. Valid values - pcm, opus. Default value - pcm. + The audio coding format. Valid values - pcm. Default value - pcm. sample_rate: type: number default: false From 58ebdd65cbcaf228780761af319795992d67bcd2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 5 Jan 2022 10:42:19 +0530 Subject: [PATCH 3443/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 6 ------ 1 file changed, 6 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 1cb29ec0a..9e515c1f3 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -229,12 +229,6 @@ components: example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... description: Input audio wav file in base64 format. - audio_encoding: - type: string - default: false - example: pcm - description: - The audio coding format. Valid values - pcm. Default value - pcm. sample_rate: type: number default: false From d0d8511c8a448953b88202baeb28b78349eb9647 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 10 Jan 2022 15:19:58 +0530 Subject: [PATCH 3444/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 102 +++++++++++--------- 1 file changed, 59 insertions(+), 43 deletions(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 248fd554e..64cf621aa 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -3,11 +3,10 @@ info: title: Automatic Speech Recognition ENG description: |+ This Voice microservice transcribes the input audio stream into text. + This microservice can be used on generic English or on specific use cases or accents. There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - This microservice performs well on Singaporean-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament and nscfull_8k. - - The length of your audio should be **up to 60 seconds**. - version: '0.1.0' + The length of your audio should be **upto 60 seconds**. + version: '1.2.0' x-additionalinfo: |+ Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands. @@ -28,13 +27,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Jul 03, 2020" +- name: "v1.2.0" + description: "Published Date - Apr 07, 2021" paths: - /microservices/voice/asr/v0.1/getpredictions: + /microservices/voice/asr/v1/getpredictions: post: tags: - - v0.1.0 + - v1.2.0 responses: '200': description: Ok @@ -44,10 +43,13 @@ paths: $ref: '#/components/schemas/success' example: results: + output: - seqNum: 1 - start: 1.0 - end: 4.0 + start: 0.64 + end: 23.72 text: HELLO WORLD + message: Successfully Processed + status: Success '401': description: Unauthorized content: @@ -83,7 +85,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/inputlimitexceeded' + $ref: '#/components/schemas/inputlimitexceeded' '415': description: Unsupported Media Type content: @@ -116,32 +118,45 @@ components: type: object properties: results: - type: array - example: [{ "" }] - description: List of Json Objects - items: - oneOf: - - type: object - example: {seqNum: 1,start: 1.0,end: 4.0,text: HELLO WORLD} - properties: - end: - type: float - format: float - example: 23.72 - description: End time of utterance in seconds - seqNum: - type: integer - example: 1 - description: Running sequence. Starts from 1. - start: - type: float - format: float - example: 0.64 - description: Start time of utterance in seconds - text: - type: string - description: Converted text from the input audio file - example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: [{ "" }] + description: List of Json Objects + items: + oneOf: + - type: object + example: {seqNum: 1,start: 1.0,end: 4.0,text: HELLO WORLD} + properties: + end: + type: float + format: float + example: 23.72 + description: End time of utterance in seconds + seqNum: + type: integer + example: 1 + description: Running sequence. Starts from 1. + start: + type: float + format: float + example: 0.64 + description: Start time of utterance in seconds + text: + type: string + description: Converted text from the input audio file + example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -233,13 +248,14 @@ components: x-name: model type: string default: true - example: nsc_parliament + example: generic description: |+ Model selection. For best performance, select the model which best matches the use-case: - 1. news_parliament - 16 kHz, mono channel, .wav format. Trained on Singapore news and parliament corpus. - 2. nsc_parliament - 16 kHz, mono channel, .wav format. Trained on National Speech Corpus and parliament corpus. - 3. nscfull_8k - 8 kHz, mono channel, .wav format. Trained on National Speech Corpus. Trained on Full National Speech Corpus corpus. + 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. + wav_base64: x-name: wav_base64 type: string @@ -283,7 +299,7 @@ components: "Start time of utterance, in seconds. Offset from the start of stream." versions: type: object - properties: + properties: v1.2.0: type: array items: @@ -315,7 +331,7 @@ components: oneOf: - type: string example: Published Date - Jul 03, 2020 - x-details: Initial version release + x-details: Initial version release description: Archived securitySchemes: APIAuthorizer: From ef232a7b1687a29865a9945c2967b28079cd70cd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 12 Jan 2022 17:49:58 +0530 Subject: [PATCH 3445/5916] Update asr_with_voice_activity_detection_eng_v0.1.yaml --- voice/asr_with_voice_activity_detection_eng_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml index 92e2c4139..fab14244b 100644 --- a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml +++ b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml @@ -231,7 +231,7 @@ components: x-name: wav_base64 type: string default: true - example: https://api.sentient.io/test2.wav or UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + example: UklGRiT6AABXQVZFZm10IBAAAAABAAEAIlYAAESsAAACABAAZGF0YQD6AADq/+r/7P/u/+3/7v/x//L/8f/z//T/9f/2//f/+f/7//v//P/+//3//v/9//z//P/+////AQABAAMABAAEAAMAAgACAAEAAQABAAAA/////wAAAQAAAAAAAQD/////AAD///7///8AAAAAAAD////////+//7//v/+//3//v/8//z//P////3//v8CAP///v8AAP////8AAAAAAAABAAAA///////////+//3//f/+////AAD/////AAAAAAIAAgAFAAcABwAEAAcACAAJAAoACwANAA4ADgAOAA4ADwAQABEAEAARABEAEgAVABMAEQAQABEAEAARABEADgAQABEADwAPABEAEgATABIAFAAWABYAFQAWABYAGAAYABcAGAAfAB8AHgAgACAAIQAiACIAIwAkACIAIgAkACMAJQAkACQAJQAlACUAJQAkACQAJAAmACUAIwAiACIAIgAhAB8AIAAfAB0AHQAdABsAHAAbABgAGQAaABgAGAAYABgAGwAaABgAGgAcABoAGwAbABsAGgAYABgAFwAXABcAGAAVABQAFgAYABYAFAAVABUAFQAUABUAFgAVABQAFQAVABQAEwATABAADgAQABAADQANAAwACwALAAoACQAJAAkACwAJAAoACAAIAAkACQAIAAgACAAIAAgACAAFAAMAAwAGAAMAAwADAAIAAQAAAAAA/v////7//v/9//z/+//7//n/+f/2//b/9v/2//j/9f/1//X/9f/3//f/9v/3//f/+f/5//n/+//6//z/+v/6//z//P/5//n/+//7//j/+v/6//n/+f/7//r/+f/7//r/+v/6//r/+f/+//7/AAACAAEA/f8AAAEAAAAAAAAA///+/wEAAAAAAP///P/7//z//f/7//z/+v/7//r/+//7//3//P/6//z//v/8//v//P/6//n/+//7//v//P/8//v//P////z/+v/4//j/+P/4//X/9//1//T/8v/y//L/8v/0//H/8v/x//D/8P/x//L/8f/z//T/+P/3//j/9//5//n//P/8//7//f/+/wAAAgABAAIAAgACAAEAAwAFAAMAAgACAAIAAwACAAMAAwACAAIABAADAAUABQADAAgACQAIAAkACwAPAA4AEAAPABMAFAATABQAFwAYABkAGQAYABgAGwAaABsAGQAYABoAGwAaABgAGgAbABoAHQAcABoAGwAaABkAGAAZABgAGgAbABwAHAAeAB8AIAAgACQAJAAlACQAJQAnACYAIwAiACMAJQAjACIAIQAhACAAIAAgAB8AIAAhACAAIQAjACIAJAAkACMAJAAlACcAJwApACcAKQAmACUAJgArACYAJwApACgAKwAnACkALQAtACwALgAuADIAMgAyADcANQA2ADcAOgA7AD0APgBBAEAAQQBEAEMAQgBCAEIAQwBCAEUARQBEAEcARgBGAEcARQBHAEcASABFAEgASwBLAEwASgBNAE4ATgBOAFEAUABSAFEAUgBTAFQAVABXAFYAWABZAFkAWQBaAFsAXABcAGAAXQBeAGAAYABfAF8AYABeAF8AYABgAF8AYABiAGMAZgBoAGoAagBtAGwAbABuAG4AbQBwAHMAdQB2AHoAegB8AH4AgAB/AIAAfAB+AH4AfwCAAIEAhACFAIMAggCFAIEAfwB+AHoAewB9AHwAewB+AIMAhACGAIoAjwCRAJIAkACQAJIAjwCRAJQAlgCWAJgAmQCaAJsAlgCRAJAAjQCMAIgAigCIAIoAhwCIAI0AigCKAIsAhwCIAIkAhwCHAIUAhQCFAIoAjgCPAJMAlACSAJIAjgCQAIsAiACJAIgAiACIAI0AjACPAIoAigCIAIMAggB+AHcAcgBuAGoAagBlAGYAZABjAGUAYgBhAGIAZABiAGIAYgBiAGAAYgBlAGIAYQBgAFsAWQBYAFUAVQBTAFIAVgBSAFUAVQBSAFUAUwBSAFEATwBQAFEATwBRAFAAUQBQAFMAVgBXAFYAVgBWAFAATQBNAEoASQBKAEkASgBLAE8ATgBNAEsASQBFAEEAQQBAAD8AQQA/AD8APwA/AD4APAA+ADwAOgA7ADsAOwBAAEIARQBHAEcAQgA+ADcANgAzADIANQA0ADkAOQA8AD0APQA3ADMAMQAvACwAKQAqACsALgAvAC8ALwAwACsALgAuACsALAAwADIAMwA4ADsAPwBAAD8APgA/AD0APwA9ADgAOQA6AD4AQQBEAEoATABKAEYARABAADcALgArACoAKwAqAC4ALQAtAC4ALwAyADQANgAwADEANgA4AD4AQgBGAEwAUgBYAFoAWwBWAFcAWQBaAFwAYQBiAGgAaQBsAGsAZQBhAGEAZwBlAGkAaQBtAG4AcAB0AHAAcABqAGkAZwBpAHQAewCAAIAAfgCAAHkAdwB4AHkAewCCAIsAkQCRAJMAjgCLAIUAegBwAGQAXQBTAFMAVgBTAFgAYQBpAG4AcwB0AHMAdABvAGwAZQBnAHAAcgB5AHwAfACAAHsAdgByAG8AdAByAHEAcABwAG0AZgBgAF8AXABdAFsAWgBcAGEAbQB0AHsAfgCCAIAAgwCFAIcAgQCAAIEAeQB1AHYAbwBqAGYAXgBWAE4ASABHAEgASwBEAEAAQwBMAFQAYABnAGsAawBrAG0AXwBYAFcAWQBiAG4AbgBpAF0AWQBQAD4AKgAdABYAHQAnACwAMQAzADwAQgBGAD8AMAAiACEAIgAlACsANAA8AEgASwBBAC4AHwAUAA0AFAAWABkAGgAhACoANwA9AEQARQBCAEMAQQBBAD0AOgA/AEkAUABOAEgANwArAB4ACgAHAAwAFAAgACoALAAvAC4AJAAVABIAFAAgAC4AOQA/AEcAVwBmAG0AaQBcAEwASQBFAD4AMQApACYAIgAtADsAPwBGAE4AVABVAE8AOgAZAAcABwAQABgAKABBAFcAZwBuAHQAZwBTADcAHQAMAAMABAASAB8AKAAxAC0AJwAgAA4A+v/m/+L/7P/8/wwAGQAlADwAUgBeAGAATgA+ACcACADs/97/3P/U/9X/6P///w8AHwA3AEcARgBAACwAIwAYAAsACwAWAD0AYQB7AIcAkgCMAHcAawBfAEwAQwA5AEYAYwBkAFcASgBOAFAATABDAEcAVgBlAHsAlACxALcApgCOAIIAdgBnAGAAaQB7AJYAqgCoAKcAmACCAHQAZABVAEgANQAhACQANQAwACYAJQA3AEAARQBDAFIAewCVAKAApgCuAMIA6QADAQAB6wDBAKAAmwCRAHYAbAB5AJwAvADGAKwAjwB1AE4AQgBWAGYAbgCJAJcAiAB8AGYAYgB8AJwAqgDTAOAA2ADKAL0AwQC0AKMAnwCuAL8AwQCXAHsAawCIAJIAiwB0AGsAagCOAM0A6gD+APcAGgEpASIB9ACwAHYAPAASAA0AFwAxAEIAWQBaADYAGQAVADkAPABNAGYAlAC9AN8A1ADbAOcAtwB9AFcAQAA1ADoAXQCfAKQAuwDGANAA5ADhAPwACAHyAM4AowCGAH4AVwBKAGQAeQB+AGgATwBBADYANwBFAEkAZgCiANYA+gAdATIBGwECAd8AwgCZAJgAoACNAJgAmACqAIAAUAA+AD0AIADi/77/qf+4/73/5P8lAHUAnACqAL4AsgB/AIsAvgDbAOkA1wD0AOQA2AC+AHcAZwBcAIcAxQDPANoAwwCMAE4ANAAkABAAHgAWAD4AnwDHANYAxQC4AKEAmAClAL4A6gDsAD8BfgGpAbYBmQFCAfsAogAzACIAFgA6AEYAdgCMAK8A7gAtATMBIgEjATYBSwFaAWsBbgGEAVABIwHHALEAsQDIAOMA0wDcANkA8AD6APUAzQCFAIQAdAArAP7//v8yAFIAPQDz/xAAUwCJAKAAvADBAMsA6gAyAYkBlAGlAW8BQwHcALcAvACkAL4AzAC0AIgAcQBbAFEASgAPALz/qf/N//z/WgDAAN0AqgB2AHMAcgA2AM//yP/2/0sApgAXAVMBhgGQAWQBFQHUAKQArAD1ANsA1QC/AOQA7ADtAMIAcwAkAPv/HQByANQAEwFgAW8BWgFDAVwBFwHXAJUAgADRAFEBqwG9AZcBQQEWAdQAYwDd/9H/EwDYAIEB1gEgAjwCEwKkAVUB0gBSAA0A1/9KAKEAyADUANIAwQBrAPj/lP9K//P+M/++/1gAoQDvAGwBpgF2ASsB3gBJAK3/V/8Q/y7/lv8qANkALAElAe4AmwASAMH/mf+R/17/Kv9U/6z/HACSALUAjwCyAFIALgDN/5v/xv+H/4b/YP+U/8P/egDSAOQAtQB/AEkARACRAD4ARwCXALsAsQDfAPEAKQHfANsAvgByAHMAmACgADAAKQDr/yoAZwBzAMEADAFRAWcB+ACNAF4AQQDT/2//j//L/z0ADwDJ/3P/dv9tAAYBlwGqAXIB9gGJAssCQAIzAiUCdwK2AmQCHAIPAjcCKQLUATgB1QAOAKH/Qv9p/5X/1v88AJUA0QC3AHQAmgC9AIYAwf95/4H/LgAzAekB4gLRAvYCoQJiAokBMgFkAD8AdQBTAJMAuQDdAGgA9P8f//D+xf6I/kP+vf7h/j3/if9LANwAiAA2AE0AWADm/33/4f7i/u7+Bv9Y/+7/egC+AFsAyf9V/y3/+/75/qr+m/73/ij/iv8GADwA3f95/3n/wf/a/yAAbgCgAKMAfgDs/3//3//n/6T/YP8C//j+0v7w/pX/XQFuAXUBKQKdAjsDpQKHAgUCXQLCAXQBegFhATcACP/o/hH+9f1v/VT90/06/qn+RP+Y/0cA1P/Y/5wAMgHuAM4A2QApAJQARgBKAPH/Zv/I/pX+tv7R/ur+Lv+Q/57/xv/T/0YAbwBHAI4AJQD8/oH+Hv54/r3+j/7Z/QH+zv0B/qH+Gv9u/wb/P/+c/4j/Y//X/zcAmADhAHUAKgAZADH/8f5Y/vX+F/9c/7f/mv82/wX/6/6p/ob+uf54/mb9+P14/rH/ov94AJcAkQD+AMUAxQCfACEAkv+4/zYAdQDl/97/XP8N/+j+Gv+B/if+z/2S/cz92P6a/4T/HwBSAH8ArACUAOH/qv8QADsAPACTAFIADwF9Ac0AMQBZ/xj/GP44/rD+L/8W/wT/n/+IAAYBvABBAbgBjQHDAJAABQC3/wr//f4M/2b/mf74/SX+7/0Z/lr+vP5w/p7+MP6x/rj+gf5A/p/9Pv2R/dr9sv58/8z//gAgASABtwDMAOAAgwDN/6T+KP/q/uj+cv4I/ir+xf2E/qH+Fv+e/rv+5P49/ycAk/8Y/+b+s//n/03/nf8TALYAUQBr/xf/Tf9H/5/+kP40/mv+Gf4G/xoA/QC7AUUBHgIJAl0B0gCtAJoAHQFMAV0BtQHNAXABXwDA/zb/MP8o/u39vf10/gf/r/7U/m/+Uv87/wT/7/43/6X/Jv9X/3P/8//NANIApgHIAYEBlAEmAdwARgCS/4H/ef/v/tH+G/5q/pr+1f0J/vb9Qv48/nj+cv9DABYB6wCtAEMAJwCs/17/o//u/7n/+f6B/zv/N/65/hP/m/60/gP+vv4sAHwA1gDQAVkCCwI8AXIABADV/2z/K/6G/fT9oP6p/X3+sv+FAGQAv/8IAMT/Zf8z/77/3v6N//7/4P/GAIYAkACRAEsASwC5/5//CwDNANIBpwH7AH4BvAFPAfoAXwBUAK7/Pf/x/mD+Cv/W/xj/b/8CAP//dP/Z/vv+cP+K/0f/7/+0/2YAQgG7AeABcgFhACD/vf8dAC0AkAClAA0BQgESAX4A5gCdAE8AAQA7/1b/b/4G/wr/aP7R/Yr9SP6l/of/5f+vAAwBxADjABgBkgFRAVcBAAKhAbkA5f+sAHIBhQAfAPP/QgCA/5r+l/4t/jL+/f1d/mcAjgHpAecBxQKkA/4B9gEvAvMBKgGFAfABZQEGArUBTwE1ATABKwGLAZ8AygBWAWsBGgK/AZoBtQLiApMBPgHmAQgCIwGOABoBNAIKAhgC2QEBAwgEjAMdA+ACbgPKA24D9wLaAoUC2AGoAF0B1QBcAFgB+QEPAgICnwEUAWIBAgL1AesBQALzASsCWQJMAtcBogFBAbwAHv93/2f/vP6L/2sA1QBJAEkA0f8nABYAGf8I/uj9av3l/Qv/lgCIAdIBEgJ7AQcBDQBg/4L/tQAeAJ3/nwCMAUoCoQJjAiAC1AF9ALb/qQAtAa0ANQAwAcABsgGRAYAApP98/6n/lP/SAHMBDQGvAbYDWwQ4BfEEeAN3BKsEnAPxArQCwgJDA1cDCwNLAugB0gG4AeUBdgK2AWIBvQGCAlIDSANXA18CVgLvAUYBygCuAHMAHwDN/x4AtgCUAJcAqQANARQBmwCM///+zf7B/hf+3/xq/Fv8VPxp/FL8K/y//J39l/5I/8X+av9P/4D+d/6C/bL8Rf1W/d38O/27/Zj9/v1x/ur9vf3T/Mz8pf3M/WH9OP1H/c/9vf21/ab9gP5d/0P/1v7t/nAApQGxAucCkQIfA/0DswJQAngDdwQTBCcEvANHBKsFpQWBBWgFhQUABYcEKQR/BL4DZAOeA+IDfwPpAn8CoAJjAtsBFgJNAoQC4AEKApUCjQJxAbYA9/+h/93+BP4r/mL+v/28/Fn8A/zY+2L7Dvur+iX6lvl++V/50/gE+Ab44fdB9yL2bvXc9HX0DvSv8+vyiPJ78jfya/Lp8aXxHPEZ8aHydPS08/H02vWD9cr1oPWw9lv2N/WX9sT5PPs7/en+RP9yAmQEuwRfBkQFYwXlB4kJ9QrQDXUQ7xIXFqoWuhe1GYcaiRpVGgwb3RqLGnEaVhqrGXkY6RaxFHITpREuECQOaAyTDNELygroCv0ISwcEBrAD+wEIANr9Ev39++L5H/mx9zr2Ovam9cLzLvNa8pvxPPGB8Gbw6vDt8AbxZ/CO7yvvgO6z7dPs9Ovv6hnqkulh6fXoV+l46eDp6um06Qrqi+qd6mTrXuwN7qDu3e7c74vwK/HW8WvztvQ69fb2lPol/XH/YQDnAXgEGweSB80K5g3FELkWABu6HkkhBiONJCMnECZ3Jcgj7CBJIVsgqRzyG94bFBmIF6gT7xAOEIsMcwgOCNoEcwLkApQB3QHJAJ39fvwI/AX5iffc9a/1VvV281nz7PPu81Hz6fKc8tvyZfFG8HnvUe8+7+Du4u4v7gLt5eu06/TsrOyj6kfpgOdn5jjlx+Tj48LjfuRo5HPkdeR45IrkueWn5UTlyeaY6ITqwOuL7FDvqfB98CXyUPUc98X4//p//d8AAAPNBkwLOBDAFGkXohsdIt8lNyfjJyQptCreKLAlPyV1I00hsB/3HGYbvBrrFzMU1BK/DuoKjghZB8gFwgMQAasA3v8h/kv+5/0//TD8yvmO+Br5BvjF95j37/dt+F736/XZ9oD2t/W59Af1LvWw8+vykPPo813zK/Lv7wvvUO2z65bp/+dF5kLlBeTM47bj4uJl4r7iOeIC4dTgQOAx4SPjbeQq5Rrn9OfE6XfrWOwn7Tzuhe9B8IvyefUk+Rv9RwDQAiwHIQtSDv4SKhluHmUjPya8KfMtWi5/LuMtqyvpKEwmlSIzIj8gjhzFGsAWCRVjFCMPeAyPC8cHhQUOAxgApQD3AEn/0P/I/47/kv4I/TX8lfyB/Kz7UPp5+rT7OPwe/ZT96v2p/Ub8ufpo+WT4N/gh+D336vXA9KTyPvLp8S7xa+/Y7FrpW+fI5ankYuSE4wTjBuJ84ergTuFD4O7fN+D44FThnuL34+jlE+id6YTrzexl7THupfAN83/3zPpD/T4ASAVYCQUP0hSwGb0fRCReKHYs5y8LMDgxDS/kK8IpVSffIyciCCHTHk0dWxl+Fc4S9Q/VC+oJpgZaA/0ANv6e/hgCKAJLAM4AGQAm/5n++/xO/fr+GP33/FH/NwBiAYMCbgIXAzQCTwDs/mD+gP72/lL/y/5j/Vr7l/pq+Lf18vOz8Q3uB+vD52rmYeeq5hbkrePb4o3hueCD3p/dyd383Yrd79434KfiYeTx5SDne+g96f7p4Otj7TTv1vFB9q75Y/2HANIELQm/DaoRChdnHHEh2CavK9MvyzBBMacvhC4HLGIoLCVzJIciQh/cHIEbGBpnFcMRTw5aC8EHQQQYAVkAJgBG/xn/RP9NACYASf8s/t38C/13/c/9DP8mAEICnQMjBH0E7QXdBXsEXQMcAroBQwHIASACKgL3AHP/Jv5z/Cj5aPbY85rwfO7361/pGuiV50nmneUw41fh/d+03izd8txI3fnded8Z4H/hFON/5Z/mr+dt51Do7emj6wTuK/E/9UT54/zp/54DNwd0C0YPbhT1GdUeCyRmKbMswy7tL/MuRy3LKkMotyb1JLMjFCE3Hg4dmxqqF6EUrRBYDS8JQgS2AoABo/8t/wwAiv/S/v79Af74/bb8HfzY+/D8cP0K/rn/XgK4A7UE/wT2BC0F9wO6A6kEawRRBLsECQRUBN0DfQKwALj9Kfqv9yv1ZfKo8BPu++uQ6t7oW+en5fbiNuHt3zfeXN3b3Cndlt6Y3xrgOeFA4tvi7uO25N7lnuYW6EHq2Owp8Inz3PdU+2n+2gD+A0sHFQtaDw0VixrEH1klLynmK1QtZS31LD8sHilcJxgmPyTEIygh8R58HrobphhWFNsPOQ2fCU8FAwT3Ak4AlgB4ADX/Mf+Y/vv84vsz+7z5Yvo2+w/7sPx0/iMAAQFRAhsDUwPtAqcC2AJLAw8DGQP6BOMF8wWzBLADJALj/xv9S/oP+C32j/Sp8QbwLu/F7NHqyuge5rrjHeFt3+beV94F3m7eJ9/X33bggeCi4KLhoeKV4mLjWuW955/qou1A8Rv1g/iW+yP+CQD6ArYGVgtoEKkVzBrcH4QkIyjEKlYrsCsLLM0qkiigJyQnZSYBJYkjoCE1Hw0dDhrEFYwRRg4dC4sIcwX2AncDMQP/AKH/O/5I/Qf8Cfqw+Av5+fjb+An6GPvA/NH+d//5/8YAhgCJAMUArAB9AUsDLwQTBecFHAbfBGAEIQMpAcv+Bfyx+ov5nves9dT0K/MZ8SjuoOsD6VzmX+RK4mLgDOAP4K/fsd+e33nfJd8N35je2N7A30zhNeNd5YjnRush7z/yD/W19wX6tvxTAOYDMQgcDTsT1hjoHYohnyRhJ8wpxCnFKPwooChSKHYn/yU1JqUmhiSuIaIe9ByZGQQWFhJqDmMMbAo6CCcHmQVjA20Cr/+R/fr7Yfo3+Nf3//dk91f4zvnr+g/8uPzM/Bz9Av19/Yb9KP7b/7IAggHUAlQEigSVBA0EOAJxAUsAkP5M/Xb81/sg+zX5d/dB9o3zPfGL7irrRemA547lTeSB4zLjduJ94a3giN/O3mje/t1D3k3f4+DK4vjke+eB6j3t5+9G8mb0e/Zq+d38AwHxBRsLehA/FewZNx4OIrQkzSb1J2govCdnKJooCyk6KR8oWSjgJvskTiPNII4dOhvOFm4T/hAqDvAM3QpgCA8HewUQAvD/o/0c+4/54fc79+/2ovZm93n45fiX+dz5ofnr+bX5R/kz+vv79fxJ/s//SQD8AL8BWgHMAcUAXf8g//H9C/2b/IP89vsj+/r4BffU9CDzTvAv7Ybr2+ld6AHnEOY+5ezkk+Ni4sbgut9q34LfiN+Z4EDi4+MH5hDoYuod7c3vnvET9CP2+fiL/O0AxwUuC1oQ+BREGdccDiBIIhwkayXVJQwmLyeaJnwnNin2KIMo2ifTJb8jtiDqHXobhRi2FWoSWRBkDoQMmAq1CLcFKAN8AJ/8pfrc+FT36PYI9iX21/Zv9jL2HveS9ib2nfbv9Rr2evfl+PP57fuG/YP9Pv4i/27+6P7U/rr9VP4f/mD9Ov7O/a/8bfzR+iP5gffD9DXyq/AL7yLtv+vF6u7p9ei1597lV+Qe49LhfeE/4aThpeK+4z7l7OZ86E/qtexF7oDvjvEA9MH2gfp0/nQCFAdcDDsREhVqGNYbfB5fIDIhDCJnIwQlPyZBJjAnzid6KGQo3yX1I2wjTyAFHQsbbxdbFacUzxE/D1UO7Qu5COMGkAMDANn9M/tN+S34Gffy9hX3P/aY9VT19vRP9AD0qfN386b06fWP9kj4E/oj+7r70Pvc+yj8t/yP/BD9Bv2k/Hj9T/2i/Bz9JPx4+lT5Avf/9D7zs/Ex8CrvHu4O7fbriupb6cDnWuYc5QXkZ+Nr46XjZuSA5cnmVOiX6bzqQOwJ7rXvwPH+86r2HfpE/mUCbwaGC2kQWhQXF2wZyxuSHfceiB8IIccieiO0JIMl3iXJJnUnciVHI80hiB/kHOYa3Bg1FiwVCBSvEc8PPA5aC3EIogV5Anv/P/18+7T5FPmZ+BD4rvc59on1APW+8ynzwvIY8rLylfQQ9nj3lvii+QL67Plj+lT6G/q6+rH6gvoj+4b74vvo+yb7tPpK+WP3z/UV9EXyKPFK8Hzuee0J7fnrDevI6fPno+Yd5UzklOOX4yfk7OTR5bjmAuh+6evq/eu77bbvqvG+8zP2PPk2/bgB+gXsCWQOAhKPFS8YXxoqHMMdwB5jH24gUSEXI9UjDiWaJMIk2STGIhIhgx/qHO0aeRmpFlQVlBSYEh4Rtw8mDeEKfghpBWsCBwDm/bv8A/wC+1L6LvoM+ab3Avfj9bv0QPTK8wP05PRO9iz4zfiW+Vn6jvpV+hL6o/nV+R36R/oM+gb6Lftt+vv57/nx9wT3afUI86Tx8u/77kntH+xJ6yjqqemR6JnmouXW5HXjV+NT467j7+QS5gDnbOiW6TzrOu3d7r/wBPMz9bT3kPqQ/U0BFgUdCV4NGhHuFL0XgRr0HMgdLh8zIJIg6CCIIf8hAyMwI7wihiIYIfofgx4UHDIaahhNFvcUeBPwEVYRCRCSDhkNpwoYCGIFBAMAAXL/W/5g/Z/8MvyH++P6ivoj+mX5r/ht+H74dvhp+bL6Wftc/NP8sPzd/Bj9+/xA/XD8gfus+kv6Zvn0+IX55PcZ9wv2kPN48qHwmu7v7OLqMOm4523mS+Wn5JLjQ+Ph4uHh/uGD4vviXOTw5Knlg+cG6RLrce1C8Onyp/Xw99v5Tfw7/2kCQgWZCAoMvw+5E/IWPBmVG4Udmh7+HtYegh/yHwcglyByICMg5B+bHk4d9RtlGqgYahZHFGASIhEqEP8OIg6YDC0LFwp4B2cFAgQqAsUA6f9U/wr/v/76/uz+jv5J/s79UP1D/YH9N/4Y/+n/HAFkAXsBlAFqAbIAmwAoAcr/0/5o/uX7bfpy+WL32vWO9GDyH/Gj7wTuB+226hjp4ue+5QnkjuIF4UfgOd+x35jfS+D/4WfigOOU5KflnOZB6KHpDuxb70zyovWa+Hr7hP5+AdEDGAZPCGIK0AxlD0cSDxW7F8IZ5Br+G0ccYByhHG0cOhwFHNoboxsuG3kaEhrfGBoXNRUIEysRZw/aDc8MogvGCncKMAn5BwQHsgVbBGIDSQJKAe0A8AAYAY0B7wEdAi0CAgKhAVABrgG1ASACngIZA5ADHgREBF4EoAP8ArgBOQBE/3X91Pwh+wP5Z/eU9czytvG276Dthe2J68/ps+jt5jDlLORg4lXhAeFN35HfFeDF34HhNuIS4w3lC+a05pfoFOoZ7OLugPFp9Ez3b/og/dT/RAKLBNUG3AiQCt4MOQ9pEcgTtRUrF2sYKhl4GccZ9xmmGVUZGBkdGQ4ZyhhaGCgXDxa4FOgSGhHBDzAOwgy+C+QKCQotCdgI2we6BvEFuwTZAw0DagJHAlgChQKJAvkCVgNMA+ICcQLaAQICgwJzAv0CSgNrA34DOgTSAsYBKAIoADb/Cf6l/Ab8T/ov+HT2sfTH8g7w2e2C7UHsjutD6r7oLuiD5lPlbeNb4sbhVOHX4PrgW+Ie4wPkpOU457Lofur66mvsv+6Z8H7zo/aL+cr8Y/+iAUcEaAZTCAsK3gujDXsPQxEDE6UUWhadFz0YXRgiGOYXbRdsF1cXMhcHF34W0BVQFVAUHRPBEekPfg7iDLULpwqqCYkJLglSCI0HogasBS8FSwR1A/cCwwKPAoIC8gIwAz4DmQP+ApEC1QKkAvwBFQJdAmoCswKNASkB9wDBALv/Bv9U/pT8cPu++aj3pPZn9WfyUvB97prsTezK6j7qtelj6DDoF+be5ELkh+NA40bj5OKL47HkhuU25zLpweoN7IDtgu6/8PjyS/Wr97j6u/2dAKUDEwZrCEAK1wtNDWsOLhCZEboSHxQCFfQVdha3Fn0WExasFX8V8hRoFAkUxBMhE5MSiRGBEEsPJw6NDdMLAQs4CkIJgwi0B7UGoQbxBfwEZQTDA7YDpgNIA9wCGQOkAtYCUwLbAWMBigGnAH//ZAHVAIAAyQB5/5L/2f8F/qb8bfym+yf62vnU+J73PPde9aHzevLV72btlOys6ojqxOpH6vTpgulH6ZHoYujM50Pnlec66Kjo5ekS683rw+2T7zfxTvPA9Fv2F/iX+cj7Jv7TAE8DpwWMB3YJfwv8DHEONg8lECERtBFUEtcS6BKuEyAUGBTOE70ToxO3Eq0SJhKsEcgQCxBAD04O8Q1gDYkMcwvpCqsJXQmqCMMHYgecBnwGXAbSBQwFEAUVBM0DFgQ6A2ICLAHM/5L/oP42/rj+xP2T/Ob75/sz+gf68fgK9yP3Svf+9PLzl/Mi8q7yFPFv8EPvyu7X7Wvt8+2h7dvt+ezz7ILs0ezm7Fft2u3a7brubu+18L7x8PJX9J71D/cB+If52fqD/Nv99f7B/9sA9wFbA8EEtwWcBuQGXweHB3gIvQgeCS0Jrwl8CdwJ0glvCh0LQgsuDEcMkAwKDP4LWQzDDf4MIg17DNoMSw0NDloOkg1tDqUNWQ28DcsNlA0eDi8N9gyoDGYMhwszC7sJ6Ag7COwG3AQ5A7MDVQGR/x7+qPvY+Yz5N/gt95L2yvXa86vz4fHK8Gzw9+4u7TTr6urB6u7qq+ou6/Lr7OwM7VPtY+357pLv5/BQ8qjzMPWw9mT4Jvrd+z/8JP1B/YD+6v7y/60ApgGlAioD+QMwBHwEuAT6BAgF2AT3BPoEIwWxBTcGLAdaB14HkAZQBjAGHgZ3Br4G9QZNB4kHhgcqCOQIcAmfCakJYQnqCToKlwqmC3kMpQ0oDg8P4w9HEKkQtBC+EOQQTxDNDxQPhg4hDh0NVAwZCxEKxgmwB04GCgOr//b/uPyQ+iX2FvTn8iPxhfAg7tzt5uwO65/pQeiz5qHmVOQP5MjkG+b+5rnmvedM6Qfswe0L7g7vLPDp8Yv0t/Zj+bL7Lf7n/2oCXgRzBZ8GLgehB8wIFwldCVMJQglMCcAJjgo4CWUIHAcYBxgHuwbfBZAEkwTQA7kDQANJAw4DjwLDAUoBxgHQAfIBZALPA2EESgXtBWMGjgcxCREKFgvxC0YMXg3jDkoQJhEHEnoSHhOnEysUZhRpFBAU6BM8E3YSPBGoDzAOhAw1CrcIGwY0A24AL/2a+db2jfSn7ejoGeZl4+3h5ODh3Z3eL+CA3zLeNt6a3rrd3N5Q3sjfdOHG4wXm++mx7pPykfXg9x36fP2G/yoC9wQQB78JaAtsD/cRzROkFJMUKBWLFNASnBHoDnUN9Qz4C+UK9whIB6AF1gM3Ao//xvzK+a34y/d996T3ovd7+U/6UPsz+y384/yG/j0AsQJGBSQHZQl1DCwQIxN9FXEWWhc0GPoZjBrfGlMb3xubG2wb+RoIGh8ZsBfMFaIT3RBKDv0KVwhiBgAEEAFv/Dn4BfQO8P7sI+mH5aThOdwx1/vQDc6azjjRr9Fd0jvVN9ig2wzdcN0B4vnjtOVA5jnoiu869Br7WP/sBIQIZgxyDXsQdhN5E3UUwxI6FO0U+RbsFlQYyhhKFpwTIA7ICx4JqAbIAnr/9Py/+ST5mPim+IP3FPaS8r/wZO9h8Fjw6vJM9YL2Ufmn+8f/TgNrB1MJcAzaDt0QFBPmFh0aBh4SIQQiMCJxIxgj2iMzIwUhsR75G3sa0BdIF+8UohIeD5sM4AglB5ADwAFv/0H9UvqS9g/0cfGk8NPtbOv+5gbkld8B3jHb+NgU1HzRlMycy5/MVtJe25DfFuX/5QDp4OlY7cLtlfP69KH2KvuL/v0GLwwtEvUVBhr3GKIWDBWxE84TWhInEkgRrRH2ELQPVw3EDbELYgYfAJD5AfZJ8+nyBvGO8tLydvIW8pzzNvNB9O3z3fIR9I31cfkA/MUB2waPCxUPBxPuE2oXsBmGGh8dvh1kHnkfTiGSIqEjdyJZIV8eTxxNGQIWmBOhECQOxAwzC9YJeQhbBkoEkALVANX/ev/M/U/9tPs1+3L65/tS+on32fME8TLsYuih5FHfVdwu2EjTQs67zETKUtNn2zjkruXZ5pfn8+kf8DzwLPOo9Cr4kfmRAdsG5Q2ZExsYMhpmHNEZ9RUrFKwR+RIoEgQRZQ5lDk4MLA2iCnAHOgGi/Jv2L/J/7gfsH+yj7TrwTfAc9OfztfVd9MH1qfc8+2f8bf7GAmkHvw0OE1UYLRv4HM8c1Ry4HZcePh3MHOgbahy/GwAc0Rk2GeQWaxMtELILPQgxBk8FNQVuBkYFJgWrBIsF9ASQBJoD2QO5A8IEkgSMBXIGuwZaBtgEFgO9/bv5nPL17PjmfuFr3ADX/dBvy4fFs8PVyLjR1dlR3areF+Mz6K/s7e818QP3RPoK/gMDMAlDD6cW3xzjIXIjPyD7G4oZVRnAFp0TaQ5gC3MK9wgiB/kD5gAL/XD3cPK07Krov+WW5H/n2Ola7UzwOvNE9xH7gv2o/5gBKwL2BYoJrQ4pFDEYOxwDIK0hyiJzIhEhex7YGmoY4RZoFYoS2xEzEF8Q7A6kCwkI5gQjAnwAdwD0//oB0ALqBB8HhglDC+YLewzGC+gMNg1pDQoNlw1zDB0LOwknCGoEEv9s96vuM+eJ35HYcND8zgzJGMU9v+S8Nr3Gy4TYEd0i49Xj1Oqs7yn4p/mfAGoGxQb8DDkUzBmwHu8kiCjPKR8nPx51GQEVghG+DEQJTQWqAFP9YPi3+AX3MvW974zrNOah47DhsuLY5VPq++6F8zL6N/7+A8sGvQobDQQPeBCSEeUT1hdtHLAh6yLaIdQfAx4jHN0ZBxWuD48M2wfeBogFTQYfBokFEgSAAq0BWv/M/igABgIoBD0GQQkJDbcQShMxFqsXjRc+Fv8TFxM7E1ITHBBaDQEKogZTAy3+hPY+7rzludrx0h7Nq8aAw+y+D7yluqO8kb8BzSvdIeSg6aLsd/MH/SIEvgRJC0sRDhRHFjwcViLPJ+AqjSjmKPgjShtgEhINPAhVA/39HviN9vLyYu+q7QTuiO3t6X3mKuMw42bipeNO6JrwWfdf/ZsDKQlyDswRkxSAFd4YAhh4F7kYChruGv0cVh4YHl4cGBc8EocN6gqqBSUC6v70/NT8X/1e/ywAWwFiAUICewHIArwDCwa/CWANqRG9FIMYYhoTHQAeLh0bG3QY1RWgEjEPxAufCEgFkALN+x327O5g5kXd+9RIzobJA8e0way8Yrm0uIi5zsiH1Qvh0ulz7bD1zf8eCJUJnxDyEU0UxRfEGbkcRyIWJ+oolSlrIy4cpxNEDc8FPQIO/GH0du0i6SrpHesq7AnrtOvw6NLnM+V+5ivoDez67vv1lfzFATQIXQ3uFs0bcx4rHB8bARkkGb0XsBizGKsW7RXPE+gTBRFyD88I9wPm/x/7QviN9xj4P/kQ/bP+4wD7ApoEUgUzCKUKeAxEDvAPNhOdF+cbQR7zH/gfJx+8HP0ZsBXBEKUMZAgPBen/l/pE9c7v6+rL4cLYls9yypLGQMRQwUq9MbpkurS8nsib3APnD+9H9Pz8iQbzDU4OPRLhFmQXohf5GVQdNB7hIXYkSCjaIo8YiA1gCKMD4fxs9ufuiOpr54jl3+a36DnpSer36jDtSewQ60PqJe5r9An7jwEjBmYLURApGPAcGiD2IBYeixyWGW0W9RMnFBQTrhGSEI8O0gx0CRkGkAF1/mf60vYu9Z712Pc5+in9ygAvBAUGoggIC9sNrw+mEDQScBRvFxQaRRwRHg8frh3DG8cYxhSiEH0MOAecA+r+svk39WruuunJ4vLbJNSwzn7J08ezxVLDKcHYvzHBV8UO2QnnrfBN92D7VQS7DwYS2BBnFQsWjhaFGG8YvxibHTcfgCC8IKEa5RD+COoAYvpW94bvt+iY5YLkuuTb5VTmPulP7grvhO8Y74bwi/JZ9c74CwBSCBYNhRFuFPIauR8kIskhWh+FG+UXLRT8EMUQ6Q4aDX8MYwqCCNUEPgEn/k38JfvU9432pPY2+XX8LAEGBGgHuQooDbIPGBJZE+4TCBWQFtQYZxqkG3UbHBztGugYfBSlEKsLLgcLA/z90fjD85fuIeiQ4kTbhNRvzqDK6McIx5rD9sAZv4jAgsnt2g7qMPKJ+Ab9mgeYDk8TIxPFFeUV+hP3FnIWJRieGNkbUB+WH+cX8A2lBhQB1fwa96fw1ujv46PgGuOB5tPozumv67vubfB28O3vlPOX99j8mQAwBJsJdg8wEw4aeSBKIuwgQB3OGhsZpheiEpIQJg7cCwQKVAiOB/wFKQMI/839Gvs4+Hf2mfZq+U78af3f/44DmQdFCyoOOBHXEhoUZhTzFUsXoRh2GR8achp3GfMXzBQVEhsPGAu9BaYAuvuD9r3yWO2J5pfeNtfd0qfPZs3jypHHXcSNwJG/7seq1MDh/OoU8mn72AOqCVUOwBGTFY8XZhahFC0UuBQVFx0baRx3HHsYxBK0DJUHMwEf+qrzWe7/6ZDlQeE54FLkhulm7UrtOu5g8Cjz+fQV98n6cP7qAd0GNAzPEbsVmRhbHSshCCEMHl0a0RcxFnATsQ+5DZoL0Ah/BwoFlAPZATv/CfxH+136fvkN+kz6D/y5/rsBdQVJCbYMjQ8dEm8U9BXAFgoXuxd5GL8YXBj/F8cW9xSDEggQzwuvBo0BMv2Q+ODyTuz65NndpddN0mnN/snfxo3EwMEXwAi/IMgZ2Gnkq+4o9Kf7/gXjDPUQLxOHFrcVrxSJFKoVERb8FWIZQxrVHOkXohFrDDcI0wLL+xT0RO1d6HfjO+LD4j3lNOZn6Lnp++0q8BHyAfSb9qL5MPwRAJIFSwy+ECYUjhcqHL0e4x91HhsdbhtNGI8UXBFFD0kMTgpdCMEFhAM8AZj/+v2t/Vb8KPv2+fv50fpU/Ez/8wGyBQcJHQyhDloSmBRbFjkXZxgnGZgY4hdwF4MXUxb3E0kQqQzACD4ERf+K+lb1ne/D5obe2ddg1InPccwCyWDFZcERvUW+NcYD1+Hgtem87274aALuCqsPCBO1F0QWuRUqFVgVthTRFtEXkhtQHQQYtBJ0DtEKgwgTBGP6W/Fr6rvlweNt4wnjU+R35m3oGOsd7qvxj/Oh9tf6kP6fAPUCOQZvC7MR3hWuGWYcGR6IHSAdqRwwHLkZRhZHEh4OXAvAB/cEAQO4Af3/fv4j/YP81fto++P78PwO/qT+JADGAg8GMwnSCysPSRJaFPEVrBfhGDUZghgXGHIXzRUGE0gPNwzBCNsENP5k+OfxxevA5MPdqtYz0iLObMjRxd7BpL9xvqvAA8qA2Qnkd+qD8WT7DgcqD5ARbxM3F0EXfhXoFDsVcRRYFRgWGRkuGgwWMRGyDn4Mtwf9AUn4cvGT7Gzn6OMl4r3ht+KC5TXnDutn7kXyVPS+9ur5JP2DAPsCfQZ9CkMPfBKSFq4a7B1fHqoe2B1SHf4b1RdUFIAQbwwnCI0ElwG3AH3/r/3h/Kn8ofyi/Kn8S/2S/nf/YQDMAsAEBQezCV8MRRD+EiMV3xa3GLEZqBkOGfUXxRUZE1cPIQsGB8YCB/1z96DwkOkN4hnbGdac0MLMA8gWxKO/w72rvMvEy9HW217kP+uL9C0ASgkVDtsSNBalFogUCBXHFEwV0xMYFVYYkxreF+wTiBI/EdUOxggrAvX5tvIP61HnjOWm5EHijuG341rnjuu07fDwa/TA9135j/qH/d0A8gPeB0kMkBCTEz0Wmxg3Hewfgx8dHkQbTRl3FscRkg3fCY0FKAMGACP+/f0R/an8gP0Z/gX+xP2Z/VH/CAErAuYCZgTcBkcJJgxfD4cSzxTSFdkWgxcmGLMWihS8EQIPHQtbBuIBWPx09yXxHusr5GLeWtfb0Y3NS8npxqfDBsG2wRzHn9GR3eXlG+6P9Ff+RAdpDcEQqxIwE7gSxhO0EhUTFRPBE/AV9xcFGAcXeRQGEm8OmQp5BRL+bfZQ79PqzeeG5eDjLOTL5MLno+qk7abxr/Mg9RH32PrX/ar/egHGA48HeAzqEGgTFxhDG3Icgx44H2kekxyWGZgVlBEiDZkIjQTAAmUBWgCC/z//rv7s/p7/hgDzABYBhAEbAa8BXQIcBAAG3QjsClcN2g/SESUTWhQ1FY8UvhIpEPMMYgndBQ0BYfxn9kTw7ujA4ozdYtkc1GLOvco1x1PHScYPyFrQSdzq5Nbq2u+m9/wB+wi5C+ENiRAcD8wOGg4dEZMS8hEbEuMU5xckF1sV+RLfEjAQkAonA+P8X/Z88OHrNeko6OHmC+VF5ZjpC+0O8BvyuPMD9tf3qvl7+8v+iwCvAuIFVgrFDjoRNhUuGMAbAx7AHYMcyRucGN0VlxKvDigL+AaeBOEDIQNdAgcC7ABRAlcCYgIpAgYCvgFvAaEBUgIcA+0DVAV2BwEKEQwbDfwNcQ8dEPgPrw1TCz8IKAUIAZv7hPYC8brr9+Un4TDcH9cf0wvP582Ly3zLXs7n1uXfUebV61jwBfoLAUcGLwhCCq8LIAy4CzELdwwNDToOrg9qEroTWxQQFLgT7BLoD6kLCwZwACH7ovWc8D/tGOsG6obprumZ62vubvF78/30S/ck+fr6Cfwi/QP/bAF9A14GzQrfDTcRCRS1FjsaZxycG/wa6BmPF8oUThEIDu8L8wkMCBUGpAW/BaoEkAXGBegFYQW7BIoDwgMDA/sBJQI6AhMDrQMkBR4GPwjuCPQJ9QmxCQQIywWEA4X/mfu39kDxDOyn5wfiQ91c2TnWx9NN08PQrtOW2bjhCuhe64fwq/Uy/tsBRwSjBRkHjAa9BsQGKgfmCPsI5ArwDSkQqBAPEsgSSBNOErAOpQpFB7gBdvyq9xX0pPE17yTtb+xs7rbv5PGY8w31j/aE+Nf5gfvD+1f7tfwv/wEDgAVlBwsKFQ5XESYVahY2GGsZhBn0GP4WRhUYEooQzg6wDaULxgnACAwIlwiZCEQI3Ae9B4wGmwVBBUgEKgRGA7kCTgJ4AosCwwLPAoQDzgOqAhsCogAT/yH9OftH91X0DPCf66Pn3eJn3+bbuNmh1tbWIton3STjw+bD60Hy7vfM/D0AvgMrBcQGFQZIBYkFLAZLBdMFkgfWCRYMWg1EDtYQXRJdEWQP2QwQCqwFRgF0/Mj4o/SQ8RbvEu+r7xTw9PAe89b1ePjc+cX6UfzU/aX+6P6c//MA3gNxBUYI9grzDXIQDBN7FnAYtBnFGBMX+hYrFt8TcxGFD4oNLQzqCn0JjglnCU4J4gkuCtEJzgh0B8cGcQYMBboC5QBD/2H/A//k/Wn9+vy1/M37cfp9+On2xPI07+jr9OcD5FDgB93U3Mze2t3y3obiEei67rbzjfXy+SP/YgGLAkoD3ANWBLMDjQHyAmkEjARnBYoHigrHDKENmw1ODzMQ+g5GDCwJ0QW5Ac394vlh9+z0jfIk8anxo/JX82v09/WK+Er6KPs2+3X83f39/hX/EwAqArUEcgZBCPcKWg5aEv0T5xUJFy0XtBYPF5kWzRULE1AQjA7KDcUMjArPCXwJJgp/CTAJ+AhXCbIIwQenBlQFtgNZAXP/m/5t/f37C/vy+W/56ff29Z3z1vH3717s2uc349Dfwd4a3pXdxt0h32LjzeYm66fwp/TP+Wb9/f/oAnYEewNgA6cDwwNnBG4DJQO9BDAGBgh9CngMlg45D9IPVA+hDvsL5gibBScCkv5w+ur2EfQ6803y5PIR8/bz8/TY9sH4uvoh/OX8zP02/hf/+/45AN0B5gT7BmII2wqIDWIQ3BPGFesWbRh+F/4WqRb3FN4SuhCkDo0MyAoHCYsH0Qf0B9QH5gdZB54GYgYtBYMEKAOCABr+hfv9+NP3Fva79OTzy/FD8M7tl+vn6B3n/OPO4bjfo96G3lLfjOFO5NvoquyL8EH1Fvmp/C4BLAP4BHQE9gOUA8YD3gN/A4oDNwQVBW4G1wifCvsM/Q3hDv0OLw4LDKIJgwbNA/H/tvtA+Gj1+PML85vy4PI99B/16fbu+IH79/xb/pr+ZP98AIcAIQEMAocDpQT1BvsIMgy8DiIR8hNHFhEYMhmVGOEXExcbFVsTuhAZDncLiQmHB+IGNwbXBRUFnASxBB8EwAO2ApIBp/+l/ar6HPn39ur0gfKV8GfuKuyS6VHmoeRj4obhud/m32vgjuKK5KDoWewW8T71xPdz/G3/tAImBG8FMwUgBRYERANRA7cDqANbBNkFbAcoCZkKKgyrDf8OWQ4ZDQ0LyQjWBZ8CeP8L/Ob4HvZf9H3zrPNM9Hz1gfcU+cf6QPzK/kIAbgHGAfIB6QJpA6QDIAT1Ba0HoAmbC8kOkRE7FMEVaxcGGW4ZhhhGFxMWyRNXET8O0Au4CWkHQwUwBDcDmQL1AbUBVgHXAOL/kP5Q/Tj7Pvm19kD0FvFz7o3rquid5f/iieHW3/fe8t/Q4VvkNudP6cXtjfKB9hn63v0PAAUCGwMyA0wEGAQmAzICVQKfAi8DzwMiBSEHNQlyCqgLrwxMDRgNzgstCpUHkQQGARz+Uvvx+Hj2t/T880j0TfV29lT4NPrs+z/9jP9jAXoCHQMWA/4DDAUGBQgFLgYKCIEK0wx7DkcRwRNyFXIXNBhfGFgYCRdtFY0TihAiDVgKCwj+BR4EbAIwAYMANQDy/8b/gP8x/rj8Yvs1+cD2sfN98C/tv+m25hbjweCn3+HeVOCx4WPj/+XM6GHtxfFt9e74h/t//koAEAGAAQMChAK4AtACIAKiAsICJQQOBuEHZQmgCgsM0wxVDcUM3Qt0CrIIvgWeAm3/4Pxi+oH44vba9fT1Ufba9o/3Pvmf+tP89P0b/xAAAgHnAf4C/wPPBLcFggb7CAEL/wzzDhcRaBOaFRgWjRa9Fl0WpBWUEz4R7w4sDOsJlQc5BX4DtAHdAAcAOP8R/kL9hfzN+2P6Wvgb9nTz3vCN7Uvqc+eu5Ibi5+B636bfIOHP4gDmOOmS7KrwfvTm+M/8rP+zAWwDYAWrBbMFZwVQBZ4F2QSxBCUFfgYIB1oIQwm2CmgLFwvECikKWAngBmEERQEy/zP82/l491X2vfUx9Wz1KvbM92n5tvvH/a0AYgLfA+QEnga0B6gIUgmECagKjwu7DMENqQ/mEAYTPhTkFGwVQxUWFVYUDhO8EMcOIAz6CVIHJgXfAiEBH/95/QL8mPoP+ev2Q/WQ8uPvU+wE6uDmQuXp4YDgQeA44fvhs+M05rfpmu7Q8a72pvmp/az/9QK5BJQGMwZNBkQGQAaqBuUFNwbqBpgHBQh4CbgJvgp4Cl8Krgm2CMsF1AMfATP/Jfw3+SH38fU/9VL0vPQm9V73f/gK+w/9yv9aAV0DjQU0B5cItgicCQ8L8AudDGENaQ6YEI4R7hItFF8VCxbhFV0V5RRyE1MRnQ86DSILZwiIBS8D4gFt/8394vsu+nD4OPah8kbwAO6f6jLoZ+Rd4kbgUd/f3tTgD+Ls5KjndOtA8KX0RfiC/G4AyAL7BboFZQfWByII8wf8B3YHhQe6B9oHiAkfCsEK7woSC/AKfwpLCEcGVwSSAfv+e/um+IP2hfQP883ytfKk85r0GPbU+M76Wv25/4wCewQtBvEGrQghCkwL8AuNDNcNtA5dEFgRLhNTFHAVFxZpFj8WkBWgFAoTcxHbDmkMwAn/BocEQwLN/5D9gfsC+ZT24vNU8Hftb+sP6Bfl1uFA3xveEN473vnfvOG15NznAOyj8P305/kX/fUAnQNjBmoH6wgWCecJIwoUCj4KQwoEC0ILBQwjDKYMOQwWDNcKzQmtB2gFkgKN/8H8/PkJ9+z0SPMx8lLyJfJ088L0xPYO+an7Fv6YAAMDPgXvBnoI3AnJCusLzwzqDdEO4A+REPwR9RIrFNUUQRU5FbEUOhSoElIR3A65DMUJRQfzAxUB4/2w+qn3S/SV8VPu/Oot5zTlhOLF4Fre8tyB3fDe9t8e4ujkjego7ZDw5fTk+NH8x/8sA8YF3AcuCcIJAQviCyUMjwz6DKINzA2qDWkNYw3tDMMLqwoECcAG2wPpABb+4/s1+bX22fR88xTzEvN88y71w/bP+Nz6E/3R/3YCTQQ0BtAHbgn2CpQLvgzZDRAP4g/pEJcRxxJrE+UTmBTRFEIUWxMGEoEQtQ7oC8cIzgVDAnT+Yfo39jjz7O9M7HToAebt4lrhV9/O3nXe7d7e3yTiVuU759HqgO1j8sz1k/kV/En/DwKCBLgGMAjyCcEK6gt9DL4NCg5iDlkOkA60DiIO2gxVC7MJDwiRBfkCGQCr/Qr70Pjp9sj17fRJ9JL0WvX59kP4T/oA/NH+pwDsAuIErAZoCMwJWwt7DNcNXQ5yDzEQiBEREr0SCBMqE2oTuhI5EvMQjQ8RDbMKWwfsA7v/b/sH+ILzru8a6y/oPuXq4sfgMN+L363f1+BZ4o7kFufp6fPsIfCA8yX27Pj6+zX+rgBXAnYEswZ4CP4JggvgDPgNxQ4eD9YPsA82DxQOvQz3CuwIpAZdBOYBF/9Q/Az6hPgp91D2zPXL9Wj2Ivcx+Ir5Y/te/Tj/8wB7AokEQwYUCKUJMgu4DAEORQ9zEI8RcxIVE24ThxMiE14SXBH2DwwOwAvHCJsF/gFi/mD6ePbA8mjv/+u86I/ldeOz4ubhOeIu4rDjtuUD6Jbq/Ozh78LyofU7+MT66/wp/2cBUQOhBVYHLAmnCgMMnQ11DlcPFg9fDwIPng70DCMLAwlIBwgFWwL2/y79e/ty+YP4Pfci95D2N/fj99H45Pnu+qb8a/4sAFoBCgOHBKIGDwiwCSsL2AwZDkEPUhB7EUMSWxJGEpER+xCBD7UNcAvwCKwF+AHl/aX6RPco83HvGew+6jroJ+bM5BnlrOW45rDna+mk63Ttc+9z8f3zEPYc+KX54Pua/cD//gFkBKAGVwgxCh4M9g3EDnQPlg/RD8MObA2DC9IJ5QeeBWQDzQC8/sn8mfuK+jn6svmp+eH5gfpv+x78Cf3T/f3+2v/7APYBPAPRBGEGDAjJCWoL+gx/Dp4P0xBDEUMRxRCuDzAOZwyWCYQGjgNhAN/8Pvi79Bzy4e8r7SHrO+r76Y/pVOlj6vzrD+0m7rbvi/Ed8wL0WPUJ98b4JPq7+2P9kf9NAUADngUMCAAKegvADPANhA5NDqgN0AzAC/YJ6geUBQIELQKPAOn+9v0h/Zz8Vvxy/An9c/3u/VT+If/C/2cAAQHeAaoCmAOrBOMFFgdeCLAJIwtODAcNdQ1+DVMNcQxBC5sJWwe3BDYBHP43+4D4q/Wn8pnwSO8R7kXtfu0P7gLvfe8x8KnxxPKd80T0PPW19rT3NvgW+YH6L/zc/Zj/kQHpA9IFdgc8CckKDQyUDLYMbQyxC38KxAgnB8YFfwTRAjMB+v9G//X+r/7V/hH/Xf96/+//dQA1AZABtgEIArcCcwP0A7cEjgXpBu4H5AiwCZMKBgsvC/0KaQogCSgH/ATEAmoASP1L+oL3vPXH8xryufAN8CTwp/BZ8efx9/Gd8qvzm/Q69Ur1vfVZ9u/2MfdY+JH5fvsO/bv+lQDFAusE1AY8CE0JTwp9Cl8K4wknCe4HvQZ9BYwESwNDAmsBQQFRAVMBPAFXAeoBUQKSAo0CrwLYAv0C9gIBA00DpwMYBMgEfQVhBisH5wfHCFQJbQn+CDoIRAe/BawDLgGx/mL87/mD9031wfPe8vzxtvEC8qzyNfN48zD0F/XL9QX2R/a49un20/b99sT36/iT+Wf6Dfws/hIAhAF1A6EFHwfAByoI6QhNCe4I/ActB2gGVAU3BFsD7QKXAjgCOQJjArAC9QI4A6sD6gPeA8ADxgPSA8YDqQPUA/8DQgSLBBgFvAVlBucGWQeDB1MH9wYgBgYFXQNYAQ//0/y2+qr4yvZe9U700fOO86Xz9vNa9PH0f/X89Tv2QvY09j72L/ZE9iz2cfb49u73NfmL+jb8JP4mADMC2gN1BcIGhQf6BzIIHwiEB78G6QVLBYQE7ANSAw0DFwNPA5cDBwRxBMkEKAVPBZQFhAVJBQwF2QS5BIoETQQ0BEAEggTVBP8EOAV8BcAFwgVXBY0ElwNBAs8AIf9d/Zf75/mP+H/3x/Yo9tT1wfUf9k72hfaG9qz2xvbN9sz2lvaI9o724/Yx98/3ivjM+S/7oPw//rX/TwGrAsYDxARoBaIFjgVXBSQF9ASOBCQE8QPOA7EDtAPsA0sEtQT7BDAFUAVoBXUFcgVNBRUF3wSUBHUESAREBDQESASABLsE5QTYBMYEmARPBKoDpgJmARYAp/5j/RH80vrR+R75+/jY+Kb4ePiF+N34CPnY+H/4Svgb+O33ofdw94X3tPcz+Or44vnr+gL8b/3//o8AyAGWAncDKwSPBIYENgT9A9ADagMbA+wC/gIBAxMDfgP9A4kExwQvBZIFygW5BXgFQAUPBbEELwTIA4IDKwP0AuYCDgNGA1MDaQOKA5YDdgMEA1ECsQHFALP/af5H/VH8Xvua+hb67PnY+c/51PkC+kT6ZfpZ+kj6Mfrw+Zn5U/kv+SH5AfkE+UT5xPmF+kr7S/xT/WX+iv+cAKoBaQIMA3EDtAO+A6EDgANYAywD+wLZAt0CBQNNA7EDDwRiBLIEBQVYBXEFSAUiBdQEfwQVBH0D9wKaAjICAAKnAXUBcAF5AYoBfwE1AecAjAAVALT/7/42/mj91/xy/P77jvtC+zb7ZPuJ+5f7l/un+8776fvb+5/7cvtc+1/7S/tD+1T7nvsH/KX8Vf0B/r3+hP9OABQBqQEdAoACuQLsAugC3AK6AqMClwKIAoECdAKFAqQCzwLlAv4CJgNMAz4DGQPyAsECmwImAsYBaAEXAb8AaQAvAA0AAwDL/9z/vf+d/2H/Hv8L/9n+d/7//cr9lf2I/Uz9Kf0i/S39MP09/VL9ev2T/Xn9f/1x/WL9Wf1j/Wz9jv2i/dr9Of6m/hf/iP/0/3IAxwD2AEABZwGMAYEBYQE8ATABDQEJAQEB9AACARQBPAFeAXoBdgGbAZIBjgFxAS8B7ACkAFcA9f+g/zz///65/pf+h/55/nb+m/6r/sj+3P7V/vf++f7u/sv+rv6N/mz+O/4q/hn+EP4J/gX+Bv4f/jX+Zv6l/s3+8P78/iH/NP9B/0v/Xv9Q/0n/Pf9O/1X/U/9b/2//jf+r/7v/0/8MACYASQBkAHAAgQBtAGwAZgBWADgAIwAHAO3/1/+r/6T/lP93/2P/VP8n/xr/Af/w/tT+l/59/mX+Tf47/hv+H/4Q/vv9//39/R3+B/77/QH+FP4W/hD+K/5A/l7+Wv5v/pX+r/7G/vL+F/8n/yf/Mv9a/3n/jf+H/4j/g/+K/5P/qf+1/6v/qf+y/7X/v//F/87/6f/c/9n/yf/F/8b/yf/C/6L/jf95/2v/Y/9c/1H/RP84/z3/QP9J/1H/Qv8y/yv/LP8d/w7/9v7V/sX+qP6o/q/+pv6V/ov+if6Z/qf+pf6r/p3+pv6l/qT+ov6d/pv+rv6z/rv+2f4K/0f/b/+e/8X/+P8YAEMAVQBcAEYAKwAYAP3/4//A/6r/qf+d/5j/rP/G//z/GAA5AFQAdACKAIMAdgBeAE4AJAAKAOj/uf+e/4b/eP+H/4n/pv/J/+T/FAAkADwAUwBmAGwAaQBaADgAHgATAPT/2v+w/5f/hP97/33/dv9t/2b/dP92/4//m/+0/8r/3//r//f///8HAB0AIQA1AB8ABAD4/+X/1/+7/4b/d/9j/0n/Pf8w/zv/Qf9T/27/nf+3/9X/3//w//j/3v+0/4b/WP8e//b+zf66/qH+lf6Z/rX+4P4a/0r/dP+d/73/8f8MABIACQAEAO3/2/+//5P/gv9V/0r/Rv9K/2n/cP+b/87/+P8OADEAUwB3AHcAWgBBACAA9P+9/6H/ef9h/0z/Nv9I/17/fv+r/9r/AgAVADIAOwBHADIAEADX/4//Rv/0/rb+f/5e/kv+Rf5S/mz+iP6//v/+K/9V/1r/Vf9e/1P/Of8L/9j+q/51/lP+Sf46/kj+Yv6J/tD+Af81/3H/pv/N/+z/BQAaAB8AEgAQAPX/+P/x/+7//v8TAC0ASgByAJ0AzQDvABkBNQFQAVQBYQFiAW4BXQFMATwBHwEQAfMA7ADQAMYAqQCZAIEAagBkAD4AMwAYAAQA4P+1/6f/lv+N/4P/ef95/2v/YP9o/2H/Zv9A/yv/IP8b/yr/Hf8r/zb/Vv9s/5n/w//e/w0AOABjAIUAhAB5AHAAWwBRACgADQD+/+z/8v8MACMARgBjAIgAuwDlAAwBFAESAf4A6AC1AIMASwADAML/i/9w/2L/aP97/7L/7v8oAF4AkQC7AM4AygCrAIIAQgD2/6T/UP8O/83+kf54/nb+hf6k/sD+z/7k/vL+/v4A//H+3P7A/qn+mP6G/nD+Xv5R/lr+Y/52/oT+kf6e/rP+zf7Z/u3+/P4T/yv/P/9K/1z/cv+I/57/nv+o/7P/uP/H/8r/0v/a/97/7P/6/woAFAAgAC0ANwBDAEMARwBKAEMAUQBIAFAAXABVAFIATABPAFIAUABHADwAKgAqACMAGwAQAAkACQARABYAFgAlACkAMgAdAAoABQD2/+T/xf+d/27/Qv8W/wP/AP8D/wX/Gv8//2n/kf+g/7n/wv/D/67/gv9x/1X/Kv8A/+f+2/7d/u3+Df87/2z/ov/c/xYASgBrAHwAgACEAHwAXQBCACoADAD0/9v/w/+8/73/zf/c//H/BgAWACYALQAyACAAGAAJAPf/5f/H/6H/gf91/23/Zv9X/0n/OP8j/xD///7u/uL+2f7P/s7+2v7j/uv+/f4O/xb/Fv8b/yj/LP8u/yT/C/8B//r+7P7i/tr+0f7L/tH+3/7v/gP/Hv9A/2r/kP+r/7z/zP/c/+b/4f/W/8P/rv+u/6f/nf+Y/5T/jf+P/5z/pf+3/9L/9/8WADEAPQBFAE4AUQA/ACIA///c/7r/mf9z/1H/Rv9A/0j/Uf9h/2X/dP+C/5T/of+b/4//hv+C/3f/YP9G/zj/K/8j/xz/Jf80/03/Yf9w/4D/jv+Y/53/pP+f/5P/hf+E/4b/iP+D/4f/mv+v/8H/0//k//D/AQALAAkABgAAAPr/9f/r/9n/zf/S/97/5v/q//j/EQArAD8ATQBRAE0ATABJAD8AJAAEAOD/xP+n/4f/dP9u/3H/dv+J/6b/0v/2/wsAHgAlACQAIwAYAAYA6P/B/6P/lv+Z/6L/sf/J/+r/DwAzAFYAfgCXAKkAtwC7AL0AvQC7ALcAugC+AMMA0QDnAAUBGwElAScBKwEuAScBGAH+AN4AyQC+ALYAsgCoAKQAnQCpALEAuQC9ALUArgCyAK8AogCYAIYAfgBzAHAAcAB6AIUAigCQAJgApwChAKIArACmAJoAkwCJAIoAggB3AGoAZQBwAHwAhQCJAH0AbABfAFYAWwBIADQAHQATAA8AFAAfACYANwBIAGQAgACbAKYApACmAKMAmQCLAHwAdAB1AHsAiwCmAMAA4AD8ABcBKwE0ATsBOQE0AScBDwHyANsAxwC6ALQAtgDCANMA7gAPAR8BKAEpASYBIQEQAf8A6gDVAMcAvwDBAMkA4wD6AA8BKgE7AUIBRQE9ASUBAAHWAJ8AbABIAC0AGAAcADQAUQB4AKcA1QD9ABYBGwEWAQwB+QDXAKwAjABzAG0AegCSALUA3gAOAUcBdwGiAbkBwQG3AacBlwF4AVABLQEWAQMBAQEKARgBMgFZAYQBrAHXAfcBDAIVAhYCCQLsAcQBowGKAXABUQE8ATcBOgE9ATsBPgFDAUIBQQFCATkBIgEFAewA3wDVAMgAugC4AL4AyADPANAA0wDLAMQAxAC8AK8AnwCUAI0AkACQAJIAmwCfAKYAqgCmAK4AtgCrAJ4AiQBuAFcATQBDAEIARgBMAF4AgQCjAL0A0QDZAOAA3ADSALwAoQCBAFsAOgAfABIA/v/7/woAIwA+AFUAbwCNAKgAvAC7ALUAqgCTAHcAWwBHAB4A+v/m/9v/2v/Q/8X/wv/E/8b/xP+5/7X/s/+1/8H/0//d/+H/5v/u//X/8v/p/9P/t/+g/4X/af9V/0H/NP8p/y7/Q/9e/4H/pv/B/9b/6v/y//X/8v/q/9r/yv+9/7D/rf+y/8H/2v/6/x4APwBeAHYAjACQAJQAjQB8AGcATQA6ACUAHAAfACIAJwAxAD4AVQBpAIAAkgCWAJYAlQCJAHUAYABRAEIAPQA3AC8AMwA4AE0AYgB1AIMAjQCYAKEApgCiAJYAjQCGAHsAcABgAFQASgBAAEEARABJAFEAWwBvAHwAhgCLAJMAmQCZAJUAhQB/AHYAbwBsAG4AcQB2AH0AjQCgAK8AvQDFANEA2QDVAM0AzADHAL4AsgCqAKgArgC2ALwAxgDLAM4A2ADlAOsA5gDdANwA3QDYANIA1ADdAOoA9gAAAQQBBgELARIBEgEMAQAB8gDmAN0A1ADLAMsA0ADZAOMA6QDtAO8A8gDqANsAxQCwAJ4AiwB6AGkAVwBJAEEAOgA2ADMALgAtAC0AKAAhAB4AGQAVABAAFAAfACwAMAAzADsARgBNAE4ASQBBADQAJwAfABIAAwDx/+f/6P/y//T/9f8AAA0AGgAjACwAMgAxADAALQAoACYAIgAhACUAKwAuADAANgBEAFEAVwBeAGEAZwBpAHIAdABxAG4AawBtAGsAaQBjAFoAUwBOAE8ATQBMAEYAQQA7ADUANAAtACEAEgABAPD/4//Y/87/xP+8/7n/tf+w/67/sf+t/6r/of+S/47/gv96/3P/bf9p/2T/Z/90/37/hv+M/5H/m/+Z/5H/if+C/37/dP9s/2v/cP96/4v/nv+z/8X/2v/y/wcAEgAUAA8ACgAIAPn/5v/U/8T/u/+6/73/yP/W/+b/+v8LABsAIgAoACsAKAAeABMAAADt/9r/yv+4/6P/lP+C/3P/Zv9T/0v/Qf87/z3/Q/9S/1j/Yv9w/3n/fP93/23/YP9T/0b/L/8e/w7/Bf8E/w3/Hv8p/zb/Rv9b/3P/gP+J/4n/iv+C/3v/cP9e/03/Of8x/yv/KP8q/zP/RP9a/3L/if+b/67/uP/C/8T/xP++/7L/pf+a/4v/fv95/2//cP9z/3j/gf+K/5X/qf+5/8n/2P/d/+L/4P/d/9H/wf+u/5f/hf9w/2n/Wf9U/1z/af+A/5b/rf/F/9j/5f/w/+//7//o/9X/w/+v/5z/if95/3T/dP94/4L/kf+n/7j/zf/a/+X/6v/o/+b/3v/a/8v/v/+0/6v/ov+f/6D/ov+n/6z/s/+6/8L/yf/L/83/zf/J/8r/w//D/8H/wv+//7//xP/L/8//0f/V/9b/2v/b/93/3f/b/9n/2v/c/+L/5v/r//P//P8HAA4AFQAcACEAKAAvADMAMQAsACMAIQAcABcAEAAMABEAEgAYACAAJwAuADMAOQBAAEgARwBDAEAAPAA9ADkAOAA6ADwAQABGAE8AVQBYAFsAXABcAFgAVABTAFQAUQBRAFAATgBSAFUAVgBcAFoAWwBeAFwAWwBTAEsARQBBAEIAPgA/AEIARABJAE4AWABcAF4AXgBeAF0AWgBUAFEATABHAEYAQQBBAEQARQBHAFAAUwBaAGAAZQBtAHMAdQB4AHsAfAB9AH8AfQB5AHUAcgBrAGUAXgBVAFAASwBKAEgARwBDAEIARQBHAEsASQBJAEcARQBDAEAAPQA0AC0AJgAgABoADwAGAP/////8//j/9//x//D/7f/v/+3/5//i/9v/1v/S/83/yf/G/8X/xv/G/8v/0//a/+L/5f/s/+7/9v/2//b/8//s/+f/3//b/9P/zP/H/8L/xP/J/8v/0f/T/9v/3P/c/9v/1//S/8v/wv+5/6//p/+g/5z/lv+R/5P/kf+P/4//jv+P/5H/j/+R/4//iv+I/4T/gf97/3b/df90/2z/Zv9d/1f/U/9T/1L/UP9N/0z/T/9R/1P/Uf9N/0//Vf9U/1f/WP9a/1z/X/9e/1v/Wf9Y/1b/Vf9W/1L/Uf9P/1b/XP9g/2P/af9t/3T/fP9//4b/hf+F/4b/iP+J/4j/hP+F/4T/iP+F/4f/i/+O/5L/lf+e/6T/rf+z/7r/u//C/8P/xP/D/8D/uf+y/6v/o/+c/5T/lP+Q/5T/k/+Z/6D/pf+t/7L/uf+8/8D/wf/B/73/vP+4/7f/tf+1/7f/tf+8/73/wv/E/8v/zv/T/9f/2P/f/+P/5P/l/+v/7f/y//L/8v/4//f/+v8BAAMACAAQABIAFwAgACYALgAyADYAOgA9AEUARwBKAEsASQBKAEwASgBPAE4ATgBQAFAAVABUAFYAWABdAFwAWgBbAFoAWgBaAFcAVQBVAFkAWABbAFwAXQBjAGQAZgBpAGYAZABkAGMAYwBeAFkAVwBXAFMAUwBTAFQAWABXAFkAWABaAFsAWwBYAFgAVABQAE8ASgBLAEsASwBLAE8ATwBSAFgAWABdAF4AXgBfAF0AXABXAFMAVABPAE0ASQBHAEUAQQBFAEgARwBHAEoASgBNAE0AUQBRAFQAWQBbAF4AYQBlAGgAaQBtAG0AbgBuAG4AbABnAGYAYwBiAF4AXABcAFoAWwBaAFgAUgBRAE4ASgBEAEAAOQA3ADYAMwAxADAAMQAvADIAMAAuAC4AKQAmACUAIAAaABgAFAARAAsABwADAAUAAgD//wAA/v/9//v/+//5//b/8P/w/+3/6//q/+n/5//k/+H/4//i/+L/4f/i/+P/5f/m/+f/6v/q/+3/7f/t/+3/7f/u/+3/7P/q/+v/6//p/+X/5P/j/+X/4//h/+D/4f/g/93/2//a/9f/0v/R/9H/0f/N/8z/yv/K/8f/xf/C/8D/wP+9/73/vf+7/7r/vv+9/77/wP/B/8H/wf+//73/u/+5/7X/sv+s/6n/qP+o/6b/pv+p/6r/q/+u/7L/tP+2/7b/t/+1/7X/s/+x/7D/r/+u/67/rv+v/7L/sv+z/7L/tv+4/7z/v//A/8L/w//C/8X/xv/G/8f/xv/K/8z/zf/L/83/zv/Q/8//0f/S/9T/1P/W/9n/2v/Z/9f/2//Z/9r/2f/b/9v/3f/d/9z/3P/c/97/3//i/+P/4v/i/+T/5//n/+n/6//t/+//7//x//P/9P/3//b/+P/5//n/9//5//z//f/9//z///8BAAEAAQAGAAcACAAJAA0ACwAPABAAEgATABUAFwAYABoAHAAfACEAJAAnACsALAAuAC8AMQAzADQAMwAyADQANgA2ADUANgA4ADkAOAA5AD0APQA+AD4AQgBDAEMAQQBEAEUARQBEAEQARQBGAEgASABIAEoASQBIAEkATABLAEoASgBOAE0ATABMAE0ATABMAE4ATgBNAE8AUQBPAFEAUwBTAFQAVABTAFUAWABWAFUAVABSAFEAUgBPAE0ATgBMAEoASQBLAEkARwBKAEcARQBGAEgASABGAEYARABEAEEAQgA/AD4APAA6ADkANgA3ADUAMgAwADAALwArACcAKAAmACUAIwAjACMAIgAiAB4AHgAbABoAGQAWABYAEwARABEADwAKAAgABwAEAAMAAAD///z//f/6//n/9f/1//P/8//w//D/7f/r/+j/6f/n/+T/4f/i/+D/3//d/9z/2v/X/9j/1//V/9L/1P/R/9D/0P/P/87/zv/N/8r/yP/I/8r/yP/H/8b/xv/E/8P/w//C/8L/wf++/7//vv+//8H/v//A/8D/vf+8/73/vf+7/7v/u/+7/7v/uf+3/7n/tv+2/7j/tf+0/7T/s/+0/7b/tv+0/7T/tf+0/7X/tv+0/7T/tf+0/7P/tP+0/7L/sv+1/7f/tf+1/7j/uf+8/7z/v/+//8D/w//D/8X/x//H/8j/yP/J/8z/y//P/9L/0//W/9j/2f/a/93/3f/f/+D/3//g/+D/3//i/+L/4v/i/+L/5P/m/+b/6P/p/+n/6//t/+3/7f/q/+3/7v/t/+3/7f/t/+3/7f/w/+z/7f/u//D/7v/x//D/8v/x//H/9P/z//P/9f/4//f/9//5//r/+f/4//j/+P/5//n//P/8//v//v///////////wIAAAABAAAA//8BAAIAAQACAAIAAAACAAMAAwACAAgABgAHAAcACgAHAAkACwAJAAgACwAKAAoACwAKAAwADAANAA4ADwAPAA4ADgAPAA8AEAAPAA8ADgAOAA0ADQAQAA4ADQANAAsADQAOAAwADQAOAAwADQAOAAsACwANAA0ACwAKAAgABwAHAAcABQADAAAAAgAAAAAA//8AAP7//f/+//3//P/+//3//f/8//n/+v/6//n/+P/4//j/+P/2//f/+P/2//T/9f/3//T/9f/1//T/9P/1//T/9P/2//T/9f/1//T/9P/1//X/9f/0//X/8//0//b/9v/1//f/9v/4//f/+f/4//f/9f/2//j/9v/4//f/9f/3//f/+f/6//v/+//8//7//v/8//z/+//8/////f/9//r//P/8//3/+//9//z//f/+//3/+//8//z//v/+//3//f/9//7/AAAAAAEA/v///wEA//8AAAIAAQD//wEAAgACAAAA//8AAPz/+//+//7//P/8//7//v/8//v//P/8//3//f/+//v/+//6//j/+f/5//r/+v/3//j/9//4//j/+f/2//b/+v/1//T/9v/2//X/+P/2//T/9v/1//T/9f/1//T/8//y//X/8v/y//X/9v/0//P/9f/1//T/9f/0//L/8P/0//L/8f/y//D/8P/y//P/7//x//D/8P/w//H/8f/v/+7/7//u//D/7//u/+//7P/u//D/8P/t/+//7v/v/+3/7f/t/+7/7f/u/+7/7P/q/+z/7f/s/+z/6//r/+z/6//s/+//7//u//D/8P/y//H/8f/w//P/8v/w//L/9f/x//D/8f/x//D/9P/z//T/9P/z//L/8v/0//P/8v/y//P/8v/y//T/9P/z//X/+P/1//X/+f/4//j//P/6//v//P/8//3//f/+//v/+//8//3//f/8//3//f/8//3//v/9/wAAAwACAAMABAAEAAUABAAFAAYABAAGAAUABQAFAAYABQACAAQABgADAAMABAAGAAYAAwAFAAYABgAGAAUABQAGAAUABQAHAAgABQAGAAcACQAKAAkABgAGAAkACAAIAAgACAAJAAoACgALAAwACwAMAA0ADQAQABAAEAARABAAEAAPABEAEgASABEAEgATABMAFwAWABQAFwAYABcAGAAaABkAGAAcABwAHAAaABsAGwAcABwAHAAcABwAHAAdAB4AGwAaABsAHQAdAB0AHAAdAB0AHwAgACEAHgAgACEAIQAgACEAHwAeAB8AHwAdAB8AHgAeAB0AHwAgACAAHwAdAB8AHwAfAB8AHwAgACIAHwAgAB8AHwAfACAAIAAfAB4AHwAfAB8AHgAdAB0AHwAgACEAIgAiAB8AIAAjACIAIAAjACMAIgAhACIAIQAgACQAJQAkACQAJAAkACUAJgAlACUAJAAkACEAIgAjACMAIgAhACAAIgAiAB8AHwAgACAAHgAdAB8AHgAeAB0AHgAcABwAHQAdAB4AHAAbAB0AHgAbABkAGQAXABUAFAAWABUAFgAVABUAEwAVABYAFQAWABcAFgAWABcAFwAWABYAFgAVABQAFgAUABUAFgAUABQAFQATABAADwAPABEAEAAPAA8ADwAPAA0ADQAOAA0ADQAPAA4ACwANAA0ADQAMAA0ADgAPAA4ADQAMAA0ADQALAAsACwAIAAYABwAJAAgACgAIAAsACgAJAAoACwAJAAoACgALAAwACQAKAAwACgAKAAsADQALAAsADgAMAAsADAAKAAwADgAMAAwACwAKAAgACgALAAwADAALAAgACAAJAAgACAAKAAoACQAKAAkACgAKAAsACgALAA0ADgALAAwACwANAAsADAALAA8ADwAMAAwADAANAAwADAANAA4AEAAQAA8AEAARABEAEQAUABIAFAATABUAFAAUABQAFQAXABYAFgAYABcAGgAYABkAGgAcABwAHQAbABoAHAAdAB0AHwAgAB8AHgAgACEAIQAgACAAIgAiACQAIgAiACMAIgAiACEAJAAjACQAJQAnACYAJgAjACMAJAAkACQAJQAlACUAJAAjACMAIwAiACQAIwAjACMAJAAjACUAJAAjAB8AIwAiACIAIgAkACMAJAAhACIAIwAgAB8AIgAiACEAIAAfAB8AIQAeAB0AHgAdABwAHAAaABoAGgAZABkAGgAZABcAFgAXABUAFQAVABUAFAAVABUAFAAUABQAFQAUABMAFAASABIAEwARABQAEgASABIAFgATABQAFgAXABcAGAAXABQAFQAUABIAEQARABEAEgASABEAEQARABIAEAARABQAEwARABMAEgAUABQAFAAVABcAFgAXABYAFgAXABYAFAATABUAFAATABIAEgATABEAEQARABMAEQAQABAAEgAQABAAEQAQAA4AEAAOABAAEAAPAA8AEAAPAA0ADQAPAA4ADgANAA4ADQANAA0ADwAPAA4ADAANAA0ADgAMAAsADgALAAkACgALAAoACQAIAAYACQAFAAcACAAJAAgABwAGAAUABgAIAAYABgAGAAQABgAHAAgACAAGAAUABQAGAAUABwAGAAQAAwACAAMAAgABAAIAAgACAAMAAgAAAP7/AAD+//3//v/6//v/+v/6//n/+v/6//f/+f/5//z/+//7//n/+//7//r/+v/8//n/+v/6//z//f/8//z/+//8//z//P/7//v//v/+//z//v/+//7/AAABAAEAAgAEAAQABAAFAAUABAAEAAUABAAFAAQABgAJAAYACAAJAAgACQALAAwADQAPAA4ADQARABIADwASABEAEQAUABMAEgASABMAEgAVABUAEgAUABYAFgAUABYAFQAXABgAGwAbABoAGgAcABwAHQAeABwAHQAhACAAHQAfACMAIgAjACMAIwAkACQAJgAnACkAKQApACkAKAAqACgAKAAnACgAJwApACgAKgAoACgAJgAoACsAKQAoACYAKQApACgAKgAqACkAKwAqACkAKgArACgAKgArACkAJgAmACYAJQAkACMAJAAjACMAJAAmACUAIgAhACQAIwAiACEAIgAgAB8AHgAfACAAHQAdAB8AHwAeAB0AHQAdABwAHAAdAB8AHAAdABwAHgAeAB4AHQAbABsAGwAaABkAGAAYABgAGAAYABYAFgAXABgAFgAWABQAFAATABQAEgATABQAEQAQABQAEwATABEAEQASABIAEgAOABAAEAARAA8ADwAOAA0ADQALAAsADgALAAoACQALAAsADAANAAoADAAOAA8ACwALAA0ACwAIAAoACQAIAAoACAAGAAYACAAGAAcABwAGAAQABQAFAAQAAwADAAUA//8BAAAAAQADAAQAAQACAAIAAQACAAYAAwABAAEAAgAAAAMAAgABAAIAAwABAAIAAgADAAMABAAGAAYABgAGAAgACgAJAAkACAAIAAgACQAJAAoADQAOABAADwAPABIAFAAWABQAFQAUABYAFQAWABcAGAAYABcAGQAZABoAGgAaABwAHAAcABwAHQAcAB0AHgAfAB8AIAAgAB4AHQAgACAAHwAfAB4AHgAiACMAIQAjACIAIAAjACUAJgAlACcAJgAnACcAJwAmACcAJwAkACcAKwAoACcAKgAqACkALAAtACsALAAtACoAKwAtAC0ALAAtACoAKgAqACkAKAAoACcAJgAmACYAKAAmACgAKAAnACQAJwAnACMAJAAlACEAIAAgACAAHgAeAB0AHQAcABoAGQAZABcAGAAYABcAGAAZABYAFgAWABYAFQAUABUAEwAUABMAEgASABMAEwASABQAEwAUABQAEgASABYAFAATABQAFAAWABcAGAAXABgAGAAZABoAGwAcABwAGAAZABkAGgAZABoAGQAaABoAGwAaABoAGQAYABkAGQAaABoAGQAXABYAFgAUABUAFgAUABMAFAAVABMAEgAUABQAFQAUABMAFQATABQAFgAUABYAFgAVABIAEwAVABIAEQAPAA4ADwAQAA4ACwAMAAwACwAMAAoACgAKAA0ADAALAAoACwAMAAoACgAHAAkACQAHAAcACAAIAAUABgAJAAcABwAIAAcABgAHAAkACAAIAAkACgAJAAcACgALAAwACQAKAAkACwAJAAkABwAIAAYABwAFAAYABAAGAAYABgAGAAgACAAHAAoADAANAA0ADgAMAAsACQAKAAkACAALAAoACQAHAAgACQAJAAkADAANAAsACgANAAwADAAOABAAEAATABMAFAAVABcAGQAYABgAGAAZABcAGAAZABkAGAAWABcAGAAZABsAHQAdAB0AIQAiACAAIAAiACIAIAAeACEAIAAeAB8AHgAgACEAJQAiACIAJQAlACUAJAAkACMAIwAlACgAJQAkACIAJAAkACMAIwAhACAAHwAhACIAIgAhACIAIwAgACIAJAAmACYAJwAlACYAJwAlACYAJAAnACcAJwAlACQAJwAmACgAKAAlACUAJAAgAB8AHwAeACAAHwAeABwAHgAgACEAIQAfACEAHwAgACIAIwAiACIAJQAjACYAKgAoACgAJwApACwAKwApAC8ALAAqACkAKQApACYAJQAiACEAHwAeAB0AHQAfACAAIwAkACQAKQArACoALAArACoAKwAmACgAKAAlACcAJgAnACQAIwAkACMAIwAjACIAIgAhACAAIgAhACAAIAAiAB8AIAAdACAAHgAcABwAGQAYABYAFQAWABgAFwAXABgAGAAXABgAHAAaABsAGQAXABUAFAAWABYAFgATABAAFAAXABYAFgASABAADgANAA0ACwAJAAgACAAIAAwABwAHAAcABAABAP3//v///////f///wEABAADAAYABgAFAAIA///+//n/+P/3//j/9//0//P/9P/1//H/8f/y/+3/7f/t/+//8f/s/+7/9P/0//P/9f/0//T/8P/v/+//6//p/+j/6v/q/+j/6v/r/+v/6//w/+//8v/y//D/8P/x//H/8v/z//D/7v/q/+v/7P/p/+r/6v/t/+//7//w//L/8//z//T/9P/1//P/8f/1//H/8v/w//L/9f/z//T/8//0//f/9//1//b/9P/1//T/9f/3//j/+P/5//n/+//7//n/+//8//v//P/8//7///8AAAUABgAIAAkACwAPABEAEgANAAwADQALAAoACQAKAAsACwALABAAEgASABQAGAAWABcAGAAcABoAHgAjACQAJgApACkAKgAsACsALQAtAC4ALgAuAC8ANAAyADIAMQAyAC4AMAAyADMAMwAyADAAMAAxAC8AMQAyADEAMQA2ADQANwA6AD0APQA8ADoAOwA8ADkANwA2ADYANwA1ADkAOwA5ADkAOwA8AD4APwA/AD4APwBAAD8APQBAAD8AQABBAD8AQAA9AD8APwA/AD4AOwA7ADoAOQA5ADkAOwA7ADsAPgA+AD4APAA7AD0APQA8ADsAOQA3ADcANwA0ADEAMAAxADAAMAAtADAALAAsACwAKgArACkAKAAmACsAKQApACUAJgAlACQAJAAiACAAGwAZABUAFgASABIAEAASABEAFAAWABwAIAAgACMAIwAlACEAHwAbABgAFgASAAwACAAIAAcACgAKAAwACAAJAAoABwAGAAQAAQD///v//f/7//n/+//5//r/9v/3//b/9v/0//P/8f/u//D/7f/s/+z/7P/u/+7/8P/w/+3/7P/p/+j/5v/k/+H/4f/e/9//5P/l/+f/6P/p/+j/6P/n/+n/5//o/+X/5v/j/+L/4v/i/+H/3v/e/97/4v/g/+H/5P/k/+X/5v/o/+f/5//o/+X/5f/m/+P/4//h/+P/4f/k/+L/4//l/+n/6//s//L/9P/2//f/+f/2//D/7//q/+f/5P/h/+L/4f/j/+X/6f/u//P/9f/2//b/+v/4//f/9v/1//X/8v/z//T/+f/7/////P/+/wAA//8BAP3//P/7//3/+//8//7/AAD//wEAAwACAAIABQAEAAMABQACAAIA///9/////v/+////AAACAAYABgAJAAwACgAJAAkADQAIAAgABgAEAAMA/v///wAAAAACAAMAAwAFAAMABQALAAwADAAMAA0ADgAPABEAEQAQABAAEgATABQAFQAVABYAFgAWABYAEwASABIAEAARABIAEwAWABYAFQAZABwAHAAgACMAIwAkACIAIQAjAB8AIQAgACAAIAAgACMAJAAkACUAIgAiAB8AHwAdABsAGwAXABsAGwAeAB8AHgAfAB4AIQAiACEAIgAiACQAIwAhACQAIwAjACYAJQAmACQAJQAjACIAIAAfAB0AHAAdAB0AGgAYABkAFQAUABEAEAASAA0ADgAPABAADwAPAA8ADQAOAA0ADAAOAA0ADQANABAAFAAUABQAEwAXABQAFAASABEAEQAQABAADwAQAA8ADAALAA4ACwAKAAoADQAMAA4ACwAKAA0ACwAKAAsACgAJAAYAAwAEAP///v/+//3//P/5//j/+P/7//7/AwAGAAYACQAJAAgACQAGAAcABgAEAAMAAwADAAIABAAFAAIAAQABAP7/+//9//7//f/7/////f8AAP3/AAD+//z/+//4//v/+//8//r/+//9//3/AAD9//3//P/6//j/9v/1//H/8P/v/+z/6//r/+n/6v/s/+v/6v/s/+//7//v/+//7//y/+//8P/t/+7/8P/t/+7/7P/u/+z/7v/x//H/9P/y//H/7v/x/+v/6v/s/+z/7f/r/+//7v/s/+3/7P/t/+3/7P/t/+3/7v/x//T/9f/0//H/8//z//L/7f/q/+n/5f/k/+P/4v/l/+b/5f/p/+j/7P/s/+//7f/r/+z/7//v/+7/8P/u//L/7//z//X/8//2//f/+f/4//f/+//9//r/+f/1//b/9f/1//b/8//y//X/9P/3//z/+//+/wAABwAIAAwADAAQAA0ADgANAAkABwAHAAQAAwAFAAMAAQD//wEAAAD///7//f///////v///wAA/v8AAPv//P/8//v//v/8//3//v/8//3/+//6//j/9P/1//X/8v/w//P/8P/w/+//7f/v/+3/6//r/+r/7f/v/+//8P/z//L/7v/t/+//7v/w//L/9//3//r/+//+//7/+//8//n/+P/z//L/8P/y//L/9f/3//f/9//7////AAACAAMAAwAEAAsACwAMAAsADQALAAwABwAFAAcABQAIAAYACgAKAAoACwAMAA0ADgARABEAEQARAA4ADQAJAAsACQAIAAYABgAGAAgACAAHAAgABwAKAAsACgAHAAoACAAKAAkACAAKAAoACQAKAAoACQAKAAcACwAMAAwACgAIAAYABgADAAMAAwAFAAMABAAGAAgADAAKAAoACQAFAAIA/v/7//r/+f/6//v//P/7//3///8CAAIABgAEAAYABQAEAAIABgAEAAIAAgADAAAAAQADAAEAAgAEAAYABQAIAAcACAAKAAkADAAKAAgABwAKAAYABQADAAAAAQD9//3//v/9//v/+v/6//v/+/8AAAMABQAFAAYACQAGAAkABgAEAAEA+//4//T/8//1//b/9v/0//T/9//2//b/9v/1//X/8//1//L/8//z//P/9v/z//L/8v/v/+7/7f/r/+n/5P/f/+D/4f/g/+H/4//n/+f/5//n/+r/5v/j/+X/3//e/9v/3P/b/9j/3P/b/97/3f/e/+P/4v/l/+D/4f/c/9n/2v/Z/9j/1v/U/9T/0v/Q/9P/z//R/8//z//Q/9P/1f/V/9j/1P/U/9X/1v/Y/9j/2f/X/9X/0//R/83/zP/J/8n/yf/M/87/0//V/9n/2//g/+H/5P/j/+T/4v/e/9z/2//Y/9j/1f/a/9v/3f/i/+T/5P/l/+v/7v/v/+v/7P/o/+b/5f/i/+D/3//d/9//4//j/+T/5f/o/+v/7P/v/+z/7P/s/+r/7f/t//D/8P/v//L/7//r/+n/5//o/+P/5P/k/+b/5v/q/+7/8f/0//P/+P/3//f/9v/3//X/8//1//X/+P/2//f/+f/9/wAAAwAGAAYABgAIAAQAAQD+//3//f/6//3/+//9/wAA//8AAAIAAQAFAAMABAAGAAUABwAIAAYACQAHAAoACgALAAwACAAKAAwADgAPAA8ADQAOAAwACQAKAAoACQAGAAcACAAHAAkACQALAA0ACgAJAA0ADQAOABEAEAAQAA8AEAAPABAACwAKAA4ADwAQABAADgAOAA8AEAANAA8ACQAIAAcABQAGAAUABAAEAAUAAwAFAAYACQAKAA4ACwALAA4ADAANAAwADQAMAAgACwAHAAYABQABAP//+//8//v/+v/5//v/+//7//7//f/+//3//P/+/wAA/////wIAAgADAAQAAQABAPr/9v/1//H/7//t/+7/7v/u//L/8//0//T/+P/5//j/9//z//L/8f/y//L/8f/v/+3/7f/t/+3/7P/t/+v/6f/p/+v/7v/t//D/7v/t/+3/6f/q/+f/5//p/+f/6v/q/+7/8P/u/+3/8v/t/+v/7P/o/+b/5v/o/+j/5//l/+f/6P/n/+f/5//m/+X/5v/l/+j/5f/m/+X/5v/n/+X/5//o/+n/6//s/+z/7P/p/+r/6f/n/+X/5P/l/+T/3//f/+H/4v/g/+D/4P/i/+P/5P/p/+j/5//p/+f/6f/p/+j/6f/o/+v/6P/p/+f/6f/q/+j/6//n/+f/5f/m/+j/5//o/+f/6P/n/+X/5v/p/+r/7v/t/+//7//z//T/9f/z//P/8f/u/+z/7f/v/+3/7//s/+3/7v/v//T/8v/y//L/9P/0//b/9v/2//X/9//3//n/+f/4//n/+P/4//T/8v/0//b/9P/0//T/9v/2//n/9//3//b/9v/2//n/+P/4//f/9//2//X/9//2//f/9f/2//r/+v/7//3/+v/+//r/+f/6//r/+P/2//X/8v/z//L/9P/y//L/8v/x//D/8f/y//H/8P/w//H/9P/z//L/8P/x//H/8f/x//L/8f/v//D/7//w//H/7//t//D/8P/y//H/8P/y//H/9P/1//X/9f/z//L/9f/0//L/8//z//L/9P/y//H/8f/w//H/8v/x//L/8f/y//T/9f/2//f/9f/1//P/8v/y/+7/6//s/+3/7//x//H/8v/y//H/9f/0//P/8//x//H/7//w//H/8f/y//H/8f/0//P/8//t/+7/8f/t/+7/8P/w//D/8P/v/+//6//s/+3/7f/t/+r/6//r/+z/6//r/+v/6f/q/+z/6P/m/+j/5v/l/+b/5//m/+b/5f/o/+j/6P/s/+v/6f/p/+j/5//o/+T/4f/f/97/3f/d/97/3v/g/+H/4v/g/9//3v/g/93/3P/Y/9j/2f/Z/9r/2//b/97/4f/k/+X/5//k/+X/5f/m/+P/4//h/+H/4//j/+T/5//k/+X/4//k/+T/4v/f/93/3v/b/+D/4f/h/+L/5f/l/+j/6f/p/+n/6f/r/+j/6f/m/+T/5v/m/+f/5P/k/+b/4f/i/+P/5f/h/+H/4v/j/+P/5v/m/+b/5//l/+j/5v/l/+b/5//n/+n/5//p/+3/7//y//P/9P/y//L/8//y//P/8P/v/+3/7P/p/+j/6f/r/+n/6v/v/+7/7f/u//H/8//z//H/7//t/+7/7v/t/+z/7f/u//L/8v/x//H/8v/0//T/8//t/+7/6//t/+z/7f/v/+3/7v/v/+7/7v/v/+3/7v/p/+r/6f/o/+j/6f/t/+z/8P/1//b/+P/5//n/9v/z//X/8P/u/+v/6P/n/+b/6P/r/+3/6//s/+z/7f/v/+//7f/t/+r/7f/s/+3/7//u/+//7v/t/+z/7f/r/+7/7v/v/+//7//t/+//7v/t/+n/6v/n/+j/6f/o/+b/5f/k/+b/5P/k/+H/4f/j/+b/5f/m/+f/5P/l/+b/4v/i/9//4P/i/+D/4//g/+H/4//j/+T/5v/m/+f/6f/o/+r/6P/p/+z/6f/o/+r/6f/r/+z/7P/r/+r/7P/s/+z/6f/q/+r/6v/q/+r/6//s/+3/7//w/+//8f/z//X/9//2//b/9P/1//n/+v/8//r//P8AAAEAAAADAAAA/v8AAAMAAgAAAP7//v/8//r/+f/5//f/9P/3//b/9//2//j//P8CAAMABgAJAAcACwAMAA0ACAAEAAQAAwAFAAEAAwABAP///v8DAAAAAAD8//r/+f/6//3//v////7/AAD//wAAAQACAAEAAQABAP///f/5//v/+//5//X/9//z//D/8f/y//L/8v/1//b/9//6//X/8//y//H/7f/q/+f/6P/l/+b/5//o/+j/6f/q/+3/8f/u/+7/7f/q/+n/5v/k/+D/3f/a/9r/1//Z/9r/2//d/93/4P/f/+D/3//e/93/2f/X/9X/1f/R/9D/z//N/8//zf/M/8z/0P/U/9b/1f/W/9P/0//S/9L/zf/K/8r/yv/K/8r/yP/I/8f/x//J/8n/zP/O/8//0P/U/9X/1f/W/9P/0f/P/9D/zP/J/8f/xP/C/8H/wP/D/8j/yv/M/8//0f/T/9n/2f/Y/9L/zf/O/87/zv/M/8f/xv/H/8j/zP/P/9L/0v/Q/9H/0f/U/9X/1//X/9n/2//b/9r/2f/Z/9n/2//e/9j/2P/c/9z/3//g/+H/4v/i/+n/6//q/+v/6//x//L/8//v/+7/6v/n/+f/6f/o/+P/4v/k/+X/5//s/+7/7//y//j//f8CAAMABAABAP//AAD9//f/8v/z//H/8f/x//P/9P/2//7/AgAHAAkACAAGAAMAAwADAAEA+v/3//f/+v/9//7//v///wIABgAKAAcABAACAAMABQAEAAQAAAD8//7///8CAAQABgAMAA8AEQAOABEADwAOAAwADAAKAAgAAAD8//3/+//8//j/+P/9//z///8EAAcABwAIAA0ADwAPAA4ADgAOAAsADAAJAAUABQADAAUABgAGAAYABgAHAAkACwAKAAoACQAJAAgABQAFAAQABQAIAAkACgANAA4AFAAYABwAHQAYABcAFAAQAA4ACgAKAAYABwADAAcACgALAA4ADQAQABIAEgATABEAEgASAA8ADwAOABMAEgAUABQAEQAWABcAFAARAA0ACgAIAAgABgAHAAYABgAMAA0ADQAPABYAGAAYABYAFwATAA8ADAALAAkABwAGAAIA/v/9//7/AQABAAAAAwABAAcABQAIAA0ACwALAA0ADwASABIAFAAYABUAFAAVABgAFgAVABAADQAIAAQAAQAAAPz/+v/8//z//v8CAAMABQAJAAwAEAATABAAEAAQAA0ABwADAAQAAAD+//z//f///wEABwAMABMAEQAOABAACwAFAAIA+//3//H/7//x/+r/6v/p/+7/8v/2//7/AAAFAP//BAAGAAMAAwAAAPr/9f/z//L/8f/v/+7/7v/0//3////+//v/+v/6//b/8f/r/+n/5v/p/+z/6P/p/+f/7f/u/+//8P/w/+3/6//x//P/8//v/+v/4//i/+P/3f/a/9z/3f/d/9//4//g/9//3f/V/9H/0//V/9T/1P/U/9H/1P/Y/+H/4P/g/+T/6v/x//j//P/+//7/+v/0//H/6//k/9n/z//S/8//0f/Y/9//6P/w//b/+/8GAAUAAAD7//b/8P/m/+D/3f/X/9P/1v/e/+H/5v/r//f/BgALABQAHQAnACsALgAvACsAKwAjABsADQADAPn/8f/s/+7/7f/w//L//P8JABMAGwAhACUAJwAmACMAIwAdABcAFgATABUAFgAVABkAGQAcABoAGQAbAB0AHgAgACAAJgAtAC0ALQArACsAKQAsADAALAAtACwAKQAnAC8AMQA5AD4ARQBOAE0AUABQAEsARgBEAD0AOAAuACgAKwAvADcAPgBBAEQATABUAFUAWwBdAFYATQBGAD0ANAAwACsALAAsADIAPABEAEUARwBJAE0ATABMAEgAQwA9ADoAOAA8AD8ARABKAEoASgBIAEkARwBHAEQAQQA3ADMAMgAvAC0AJQAoACsAMAAuADAANAA3ADkANwA3AC4AKgAoACIAHgAgACEAHgAbABYAGQAaACMAJgAfABoAGgAZACAAHgAWAAwABAAGAAcACwABAAIABgAMABQADwAJAA4AFAAZABgAGgAZABYAGAAcABwAEAAJAAUABwAFAAcAAQD6//r/+f/4//z////8//7/BQANABAAEgAXABEAEAAUABMAFQAUAAoABgACAAEAAQD9//7/8//t/+b/6P/v/+7/7//z/+3/5f/v//b/AQAFAAMAAAADAAIA/P///wIAAQDz/+7/8v/y/+7/7P/w//L/7v/2/wAAAQD8//X/9f/1//T//v/+//v/+v/8//3/BAANAAsADAADAAcAEQAZABgAGQAfABsAGwAQAAsABwD///3//f/7//n//f8RAB8AKAAzADIALgAoACMAGwAOAPr/6f/i/9//4P/Z/9r/5v/9/wwAGQAaABEAEgAMAAEA9//y//D/8f/1//f/+v////v/9//5//P/6f/o/+//9f/9//7/AQD//wMABwAJAAsAAQD9/wIA+P/u//X/AgAFAP///v8GAAoACQAFAP//AAAKABkAFAATAAoADQAPABcAJQAfAB8AGwASAA8ADgD9/+z/5v/v/+3/9f8EABUAIgAsACsAJwAuADgAQgBAAD0ALQAmABUAAwAFAAEA///1//T//f8JACIAQABdAF0AWABYAFkARAAgABMABAD3//L/8//8/wEAAgAKAAwAEwAbACYARQBJAEoAOgA3ADQAOwA/ACkAEgD6/wQAGQAzADEANQAyAEMAXwBnAF4ATQBBAEUAQgArABkABAACAPj//f8DAOv/3//m//P/GAAuADMALAAuAEkAWgBnAGIASgApAAUAAQABAP3/6v/n//r/DgAlADAAMQA/AD0AOQA6ADIAMwArACwAGQAWABEAAwDy//f/BgALAAAA+f8KAA0AAgD0/wQAEAAPAA0ADAAJABAAHgAmABkAGAAQABAAEAAOAP//4//y//3/CQD+/+7/4f/X/97/6v/5/wwABQABAB0AKwAgAAsACAAPABwACQD+/+//8f8TABEAGAAYABYAJwAsACQABwDb/8r/yv/a/+f/6P/m//n/FwAvADQAJQApACwALAAjAB8ADADv/9r/w//A/8H/1/8AAC4AUwBmAG4AfwCSAJMAcgBEABAA9//v/9b/u/+8/8n/0P/j//T/BAAOABkAPABXAEsAQwA4AD4AQQBGAD4AIwAOAPP/5P/v/+r/0v/W/+z/AQAOACoAOgBLAEwAUwBRADAAFgABAPT/6f/W/9T/7/8KABgAHQAoAEQATAAlAAEAFQA4ADMAJwAhADUAVABwAGEAPwAeACMAOAA4ACIA2P/J/9f/4v/d/+D/3P/n/xwAWwCBAIMAeAB3AH4AeQBvAEEABQDX/9z/+P8UABYA/f/m////OgBbAEgAOwBRAGsAeQBhAFgAKwAbACoAOAA7AC4ATQBxAGgAWgBSAGEAZABIACAA8v/X/7n/vP/L/+r/AwAVAFAAhACjALIAqQCfAIgAPQAoAC4AKQADAK//mP+s/8n/zv/x/woA7P/i//7/IwBKAEcAVwBjAEUACQDu/wUA+//z/8j/4f8SAAgACwBLAHcAfwBxAFAARgAFAMD/sf+g/7X/3f/v/9X/0v/r//T/KAAWAO7/zf+Z/8X/7//1/ysASgBRAGgAfwChAIYANQACAA0ACwDs/6n/pP+7/9r///8EAAgAEAA2AEcAXgA0APf/5f/D/5v/ev+Y/6X/bv+F/5v/0f/3/wkAHQD4/w8ACADt/8X/qv8JAFMAUgBgAD8ARwBLAE4ALgC+/4n/cv8c/wP/DP8a/3j/nv+s/7H/CwA6AG0AvQDyANYAYgA/AFQAFQDi/+L/zv+H/wr/LP9c/9T/BgDf/9P/9/85AP//awCbAFsAQgCjAOMAhgAPALP/qf/D/83/ev8x/y3/dP/U/0UAKwAAAEMAtwD7AOAAtgCEAC8A2f/R/53/Q/8Z/z3/bf+m/3X/hP8DAIcAoQCtANEAlABEAEUAiwBGAAQAyv8HADgAVQAEAJT/xP/7/x4A3//1//f/9P+z/67/z//h/wgAMgAzAA8AIQAgADsAcACXAE8AjACwAFsA3//I//7/d/9K/0T/Of9O/4X/MQCZAKwAywDZALwAZgAiANX/3/+e/3z/kf9h/3n/wv9oAMoAlQCBAEUA+f/z////NADF/3r/ev9n/zT/gP/q/0IATAARADwAcgDaAMUAeQArADoAy/9//9P/MAAzACYASQANANb/7/9fALz/JP99/0b/fv+P/1v/2f8BAFEA2wCRAYkB5QBOAM4AcgFnAP3/+/+4/33/d/9s/2D/dv+o/xEAFAAwAGwAkwDeABMBfgCCAFwA/f8bAE0AlwD9/7n/6f9VACEBMQHnAH4AJgCJANYA0gANAFP/T//j/8b/Mv9M/wIAlACeAMcAxACoANv/TwD8AEgA6v+S/3H/ov9s/wgArgB4ALT/lP+PAKQAbgDq/wwANgAf/x7/kP/T/2b/4P+yAKoAewDv/8QADwFGAAv/Sf5n/m3+2P5k/0b/ev/G/3kA/wAHARMBlwCFAMIApgDG/5D/mf+h/1j/8f4V/7T/nv+k/1wANwA/AKsALwERAX4A2//I/6AA7wDVAAIA4f7t/jP/PwC+AF0ATwDl/6z/yf+EACQB6gDkACcBWgDW/2j/Ef/m/uz+NABwAHoAjAAfAUYBjQHoARMBwP/B/nL/BgDB/x//VP+6/5f/Pv8xAPEAYQDz/0kA3ACSADYAcwAyAR0Bm/8u/2T/Yv/Q/6b/t//Z/1cAsQGDAuwB9wAiAd4BQAG3/wP/Cv9r/qL+5P+AAEMAagCvAcQBhgGSAcEA6wB+AGn/iP8S/yL/Yf93/x8AJACHAB0B9wDPACcAPgDvAO0AlgH2AXYBLgGjAMn/+/7n/uz/zQDS/z3/N/8R/x8AgQAlAJT/KP8N/2IAaAH2ANX/QQAfAWgBWwGQAAsANAB6AJAA/wDX/9n+5v40AD4ADP+a/hf//f/MAOoA2gCoALQA3wEJAmsBlQB5ANIABgAZABMAE/4r/nv/TAFYAmICjwKMAmsCkwJrAlYC3gE3ALT+eP0T/jr/3f8JAHL/PP8YALUAAQJqAhICwwF7AWoBSAF3AQUB6ACLAIv/xf6l/mH/1P82/4D/ggCGAWEBvgCKAakCqQL/AVMB/v8S/yf/i/9GADwAQv+p/3AAEADA/4gAgwFxAVAAigBjAZcAhwBHAYoBmADB/+P/ev8W/xr/0/9fAFkAVQBkAJUADAH5AAEA5f9I/7j+x/5F/vL+GgBHAaABgwHDARIBxADlAFYBHAFc/xH+/f18/p3+3v50AGYB6wCzAIMACgF6AbEB2wAZ/3T/LwAdAG4A0QD7/wb/CP9e/07/DP/X/6kAGAH1AMkApQFxAlQCzAEJARUAjf/7//0AkwC2/8r/oACsAW0BPADv/6L/CACWAWICowLgAUsCTQN0A1QD+QFIACgAnP+f/fP8Pv5HAJAA+AAHAnMCVAJnA7UEjwNTAoMB1gB0/yj/oQAzAeH/8v4k/x7/Av/TAOwCtwKVAWMA9wBhAWwCwQLAASwA6P4f/wP/gADUAaAB/gAnAOj/NwAWAIv/lP/gAEkA8v0v/u3+d/4T/1kANAD//sb/5AHMAmQDDATeA+ACuAHXALH/dv5L/v798v0b/VP8mfw0/RD/uABzAvQC2wLuAhIDNANuA0QD8wBQ/pH8Avwe/bj+AgDj/0n/ewAzATwCZAPvAjIBLgBDAZUBmgDh//b/vP9W//n/agB7/839sv1l/87/Wf9O/+3+af4d//AAygLyAi0BYgB2AVUCxgFrAFj/QP4U/dz9Y/43/Tj9yf1n/gH/yv/l/1T+5v5uAUkCEwEHAJoAswD8AHQCUgPnAVT/9/2u/Bf8lPu8+3v9A/86AFgBKQL7Am0DfQNVBF8EHwIu/hj9Fv6H/cr8Zf2f/sX91/1BAJ4CZAR/BH8EOwTNAoEBSgA5Ae8BOP8q/fH9jv/p/6cA9gGQAWH/L/9AAHoAGQH9AGAA5P8tAYICZQNOBFwEJgLA/wX/Gf+V/gX+3v05/AX8Wv0a/23/OQDHAWcCpwHvAJ0BmAH1AFkA7P/Q/2L/Bf5f/e39Rf8vAHgAeAATAbgAmv+g/5MAhgBL/Rz8QfwE/PL9//8FAXIAnv/F/6n/Qv7b/W7+//7i/i3/PQDN/04ANQLuAhoBlv7l/tj/HP45/dH9xf3m+3T74fwx/vD+Gf9AAFYBQAPWBHgFZwXkA6kBpQCQ/ln8u/o5+pn6APtX/fH+VP9AAHwC7AMeBMUDSwKO//X+D/8K/6f/wf9T/0L+U/8nAswDCgOvAaUASf+a/uP+G/8K/47+P/9t/8f/mgAWAbcBHwKFA18D6wL9AesA2gC+AJEAnf/r/dv8bfxA/YT/VQCHAG0BawJHAmoB2wEXA7YC3QAd/5L+zf0U/q7/FAB7/xn+Bf1E/X7+2P55/jb/EADkACYBlwJ5BCEDZAGuAEQBcwGY/0z+L/1O/P/8gv0f/0L/K/6v/b3+rgE0AskBYQF5AKL/BP8b/1j/4f10/fr+0QAoATkAuwBYAYsASP9vAEEBbv9+/lH/XgAoAQECBgIQARUAwf9qAPf/Cf9a/o/9rP65AEwC1AK5A5EErgO/AT4B/AH5/7r+n/+v/7T9Mv1oACYDHASBBFAE4AGd/+n+E/6e/JX7QPww/kUAXAJdA68DLgTNBPID0wErAGb+CP63/lb/BABqAFcAkgAbAjoDIwIJAHb/yv87/ir+mf8WADgBDAOsBLgD8wLmAx0E/wJ0Adj/JP02+xD8dv18/TX9DP4PABkC7wOYBPgDowNyBFcEsQKbAbkAx/65/cH9k/37/J/8j/1q/VT9qv66ALICwQQbB/MITgklCCYGFgSvAvEA3v1X+nz4bfii+bX78P0i/4f/vwDiAnYF6wZjBkEF+gMSBPID6APoA0cDxQFC/9f+o/8yADP/0f6s/qP9q/1w/af9tf69AHYEgQZ4BmkGygcdCc8IWAfWBDsCUf6x+wr7sfkx+cf5RPt3/IL9+f8aAqADEQWtBVoFrAScA4wBQABAAWICMQL+AOv///5j/lT/WQBB/9T9Sf4o/yf/I/9gABgCAgMtAzoE/gP6AiMDfQNoBBoE9gJXAQsAff8TAGIA6f+O/jf8z/vB/UoAygFxAgUEzgaqB08I+wg3CaQHRASBAQP/Hfzj+bf5lPpO+xv7WP1EAHUDzAdWC4cMqwmDBvkEFwNEAXf/Xf3K+3X7V/yv/XT+Uf+JADQBKwJDAiwBp/+W/34APwDR/9b/WgDZ//b+9v86AdsBIAJMAz0ERQJtAGr/l/6b/Zn8r/wA/D/7C/xX/s0AOwKEA5IEzQSeBLsFJAaDBFcDlgMEBJAB0v/EAA8Ayv0P/J/7RvtI+iX7GP6bAMoCcQYdCpALmwuSC2QMUQryBN8ADv9V/Xb7kvqb+uD6WvvB/WABZgMqBMMFfwb7BpsGNQYVBk8FXAS/A0YD6wJFAtb/k/5B/k/9mPsE+on5OvlP+c36KPyA/X7/IgL/A8sEuwReA+UBvAGiAvsAvP0N/AD8JPuO+TL52fir91H3ufhT+l36dfuS/nECKgVkBhUHPgf6BjMHxAbjBFICDv8i/Lv54Phy+Q37bvxQ/ar+sgCVArUDVQXKB2YIPAmTCd8HBQYUBN8DewTdA0wDqwEY/5D/JgE6AjwDuQOfA0IDWgN2BdQGgQbJB2QI7AYGBcADMwPOAYv/Wv9g/6v9Sv3B/RH/ewHOArQDigOeAZP+Y/zE++T6Tvnc92j4nPhC+Pf55fsi/Mb7tvq9+B72uPJM8mrzl/Sb9h74bfkO+3T8tf6nApQF4gVVA9b/6v4b/pT9qP+LAMr+//o2+ov80Py+/F3/oAPKBRQGOwezCV8L6w2EEVISFA9IClMIBwhzBwgGKgU4BO0B+wFIBU4JmAt1De4P6xHIEkgTLhMeEi8QQw1NCqAG3wF0/dv6tfrb+9D7pvyp/uD/5AEjBDMGYQY/A0oAjv6a/JT5Y/Va8kHvvesn6avmHuXs4pLiX+au6hXu3u9P8lj1GvnV/H7+If6N+976pPq0+oD7l/qs+Zv4nPjb+u36Kvvc/KD+cgJpBeMIZA4PEisT3BMqFKITCxGWDI0IsQR4/7D7HvtL+wb9hQAwBWkJkwtVDucRaxNEFKIVwBUvFPwQ2A1GC90HxgZGB4oGxAX8BGYEEQT2A4cEVwTgAtkBnv+g/N/6NfkN+N/2Z/VM9NrvWelK41PfIN8A32rdd9v62nbdgOR17tL3rv0G/9oA+gQYB4IIrAZ7ANL4dfJW8CHu+uq667TvqvFb9Ov40P1KA98I+RAUF/sWGhZhFgYXHBduFCAPFQeY/wn7NvlR+Sb6yftX/l8BzAReCs0PtBOeFZIWvxdrF4QVOBMfEIcMugqWCSEIOwZNBesF5wabB9sHtgZ/BdoF5gVMBLoAwfyw+X/23vOS80zyde/c6wHp8ebk4pjegd2P3ZHdYN6p4Afmoe0y98oBzAn1CkALnApDCfAHVQNq/k72Mewn5yvnquh862fvRvSB+cz+swa5EEkXjRy4IPggYh+DGm0Vug/EBxoCXf3v95H0fPOu9e76/v8kBYAK5g5FE20WYBiEGqAaoxiXFUYS1g5YDBYKLAgjB68GwgZOB9UHcgjBCDcIKAh9B8cGlwS9AVP9aviU84Xwl+5u6yHoiONh343bU9mg2qHcxd3T4YvnmO6z9SP8jgXhDhETtxQQERgJGQOy/HX31PEP6rXjk9/x30HmsO4g93z/igdTDzYXHR4AI8clBCYKI60blBFTCHMAqPna9I7yp/J786j1MPoyAeAIpA+gFPEXnxndGasZVhg7FhMTVhAGDskKqQjICG4KbQxuDUMNgwz4C+YL0wtiCgIHdwLR/HL47fWE8knurelZ5kzlQOQQ4+jgkdsx2eza5t5k4yXlQuqt82r/mQtZEyQV2xKlD5MOHAzKBBv5Ju3+44HeEt414BzkYun28SD9EQjLETIaBCJaKaMtsyxjJUsbghL9CV4C0/ot9CzunOk662zxe/ivAAwITA65E+cX7htiHsUehx7xG0QW0RBmDD0KQwoEC30LuwreCBgICAmeCikMZwubB5QC5f1Z+k/3ffPt7/Hrpec45YzjAeKC4pvhEeMW5U3jZeYQ6i/wMfvfAv0LdhIaEckSfxP+EB8N9AKF+DTuFOLV22jbUtz03wzlveww+PYC1w1VGiMlEC1ILkoqGCYjH+QVzQsxAtn3N+2d5uLlSOmw7hj22/1QBVoNwBTvGi8fbCJRI74fzxqcFU0R+w07DIkLswlGBwEGawazB9EIXgk7CUAHegNA/9T7YPn+9d3wWuxO6Orj5eDO4WbkyOQB4urgbOOm5ifuuvfX/70ECwdlDk0U2RWMFtoS8ww+A/b3Du9P5LXbd9kk2SfbSd4x5OfupftICjUYOyKGKN4rZCvwKTgmUx+sFJkF5/ix75PoO+ZL5krpvO+Z9cv8kgaPEFsZJx9eIfwiViE3HLIYDRVSEdEN0QpXCS8HjgXWBjkJjgrKCYYHXwVbAhH+1vkl9X/wiOxf6I3mR+R14JzemeCH5bvnzuau5YHo5uz38o/8TQT7CX4Lmg2yE8kVyBKDDPcECP0W887nfuAH22rXhtiO3Cbl/+0D94MD3hG/H/wpPy7oL/wtxSjPIsoahA9QAcXzPOp75b7imuLn5THsjvW//jkHoxFJGl4fHSJfI6wjjiCQGmoWPxMpD+kK2wfzBlgGRAY+B1IIBQfAA4QBgv/g/ID41PIK7tPoFOV2423jOOME4ubhxuT66Pbrc/B79er7RQGQA3cImQxwDbYOaw5vDIcIyACT+ffx7Odc4a/ez9xr3R3g9eWg7zX6swfHFTsfTSYIKz0tWC1pKYAiOBdcCfL7GPHC6hLmW+Pg5K/oCe4B9Wz/vwtNFaMbvB8cI1AkYiObINsbhBaWEcQN2wvtCcIH2QYJBz8HPQY6BRoEYQHk/A/4FvPL7THpf+Xm4kLg6N2v3WbfAOXG6rPt5u9d9Gv8PgRlCXEM+gz+C7ULfwzJC9cHcQEw+W3vW+bR4FndHdy33bHiC+ql8SP7nQbuEdQdcyeSLEks1yd0I7scdBRDC0H/0/In6AvkeOau6e/tovPm+tACugr6EzkdfyI0I18ivSBeHa4YJRT6EWMRjQ/EDAoKMQl2CWsIbQdtBrMC3vrh8jbul+ke5M3eX9yH243ZK9sn3ijjYuqq8KH4f/2ZAboEJAayCXoKlwqoCGIE8QDX+xj4iPTu7j3q8eRk4YTheuRP62zy/vcdAJEJkhMRHAohUyYoKHwkxR1eFpkPoAWJ+TzwYeoJ6Pvoy+oF7lT05PydBRMN4BTSG8cfuCHcIpEiCB+FGgkXDBQlEnEQ0Q1cC1AJBAjZBkwDCADk+yr1p+5R50jiW92D2DXX6tY12zTfG+P06sXzf/9rB8kKVw4ID8sPYg+3C68IngKc+YPzde9u7ZLqyeSg44/leOhB7ZryK/vsApcJcxIxGl4fuiB/ImIjQR+nGXsP3gOQ+LbxDPEJ7uLqoOsC8Hf2e/1ZBgYPWhU4GsYeICNCJLQi7h94HTocRBmQFK0PlAptBisE3AQJBED/ivcS8DrrUubf4Q3eudoF1qrR8tIE2g3kx+109Rr+nAV0CuUQ3hQcFnIUWw0zCKsBkvl29ZHwVO0j6hbmd+Un5fjnuO9K91/+wgL/B4YRgxjvHFggSiPmIt4bMBWXEDYJHP+L9RHxR+8U7Rju7/G19rT7jQHsCkkUtBqWHhshrSMHJfokHiPhH+wZExOVDoULkwi/AnT8fPg28+HtH+iP4TPcudWn1CzUAdPZ0sDUBuCO6wX3NgE2CCwRyhYbGsAcyRlRFOsMDQQB/Wn1Mu4N6EDjguOP5m/oJupL7rf3vwBmBy4OthNNGGwagR2FIEAeeRk2En0LiAbA/yz6D/SP8XHyrfMd9zb5Hv69BPcLbRRYGUkdcSBsIXMjrCL3H5sb3RQ9EOMKzwT1/rD4nPLa627kP96H2D/Th89OzibP/9CP0mHYbONW8J79hwg+EW8WRxp+Hl8ggh2RFQgKFAAz9+bvQunr4gDhb+Ey45LoHO559B3+cga8DzAUiRY6GjQcjB4OHjMaYhSfDN0GRwK7/gj8kPcu9or2EPph/k8CIAdWDN0SwhiUHbAgTSE8IfAfYh24Gf8Sxw0YB0f+nfXP7AvnUt6G2CzY+dGEybbCw8gW08rV7tmj4XPuY/lxAu4QJRtSHlEdWxtRHG8WMA3mA3H5y/EG6Tviqt+M34vj9OjG77b3DP18AZsIrhIUG5MdwhyYHH8b5RjCFXgS1w5dCD0CQP+Y/e78zfz5/bQBHgVKCVUNXBBiFjQbYx5cH6YeIR4FGtkUpRGiCwUDbfhF733neNxD04LNR8k9xr/DLsRKyOzMwNT/4rTwVPuVBMwMiBcAHkghICRnIN8YQxD2Bsn+HfYJ7m7pXeX049fk9edn7h31//yrBGkKdhAaFOIYXx0wHnQeMhutF9ETmw7YC+EHbQUCA8j/+v8rAF0DEQfpCVAOTRFoFL0WnRhuGvgabxrPFtQRRAvMAvf5ovA56r/ixdTcyr/DRMKywzfBUMfIzZXUuN6G6GD4mQWRDnkYMR4FIyEjnB+BHagXlQ++BeL7zvRz78PrSevW6xztu+839Iv8wwT2Cp8PxBMHGLYaHhyBG3saPhhCE3APCwwjCXkGEQPuA1UFxAW8BmkI0gtEDzUSaBTNFacVxxU7FWATyQ+rCeUBa/ln8Onlz9yU053KesUQwOPAysIJxV/NhdQq4bftpPg3BZQORBjoHT4gcSLvIOkcOBbhDnoIDQHr+m/29vKh8Rfx6vIE90j7ggC6BWwL6g/KErgW6BiSGcUYYRZgFSgSqg7qC9UIewe6BacF0QZJB04I1wjKC2wPnBF2EosRPBGfEPMOGw1zCPABW/l77+rn1t5N1pvMBcQPwwXC9cSCyJnLANbv3hDstPghAyIPXxSpHN4hkCNpI7wcOhi6EpEM7AdYANP65fYO9OD0avWo+N37Tf8dBTQKTg8yEocUzBYRGBwYExadE5oQwg22C8sJOAjFBWUE4QX9BmAIBwpGC7gM4w1bD4UQzg9GDdYKLAdqAq/8UfUP7aHk49mu0HTH58NzxabEWMhoyTvQ39q/5EnzXvtiBv0PHRXsHXgeeyG0H1wZVhcOEFYMvgYnATv/R/tq+uz5eftv/4oB1AXcCG8NQhGREQkU5xR1FgUWrBJpEQEPsAwwCzQK4wkFCKkGsgZxCAIKYgrMChYL2Au7C4kKbAnFBscCZ/7d+GHzy+st5BPdNNZW0CLK28iFxrfISc/m1Dje4eOV7On4mwJVDbETOhm0HeocLR2yGokYGhQHDQAJxwPkANP98fs2/df9sv83AsoFJgqlDHkPZxJPFEEV3BTmFAEUTxI3DywN6wvZCVcI/gYrBxsH9AY8CDsJYAmNCYYJOgm2B/oFhgP6/zL7n/U08M7ohuM83ZHWmdHTy3PL0sxTz4LTBtcu30To9/A3+nQCsAvgEEkWtBo7G1kbNhcCFc8REw1UCu0ExQGJ/zr+nv8YAC4DqQVnBxELKg6PEvkTUxQ6FfIUaxW+E68Rjw//DIMLbAlcCPsH7QZ5BtwGdAjRCIUI6weWBx8H+QSZAvT+Ffty9qfws+ov5F/e1dfD0tfQYc4jz8LPltRU27bfOejN7kj4qQEPCIkPThL6FGAXGhc0F2oU5hBSDdkIsgaGBKcCPQHp/44BbgQrBxUJRAtmDkERJRN/FPAV/BTQE1QSWxHEEOwNaQsQCggJMgkACGQHtAdXB8sHfwdwBxsG1gMDAlj/dPxh+Jjzp+6i5+bisNwy2JjV59KA02HSpdWG2nrf7OZy7eD11PzEA/8K9g56E90UsBUpFewSiBEKD0AMUAn0BTgEDgS9A28EBgW7B8MJagsTDsUQiBITE5IT8xMAFJMShhBFD2gOuAxfC/cJlgn9CLkHSQiaCC8IwwcSBswEigMIAaX+fvoE9/3yX+0w6Fbixt662UzWz9VS1fzWW9d83N/ihej775/0wvy1A/AISw6jENUT3hNoEiASsBAZD4UM0wkkCDMGOgXnBAcGAQeyCDgL9gulDmwPahHFEysTWBTzEnARiBGAD3IPLA4vDAYMwAnxCRUKPgm+CB4H0QYABhUE/wFP//T8ufmY9QbysOyB6GbiHd6t3djYWteP1dXWityC3jbkNOkL79/2xfy7BN4JYQ0uEAARDRPmEskRURBLDZkLPgmgB/sGdwU+BtgGoQeKCSYK7AyND8QQyhFmEVESaRKOEXwRCBD1Dl0Ncgx5DAYLWApqCQMJBgkTCEkHIwauBFgDEgHl/nH8UvjN9GXwpexw5x/jn+Bs3bTaIdj/2dfbBt1N4F/lhexJ8on2Bv3eAvUIiwy+DjQRDRAkECUPIw+bDYEJ7wcYBgoGEQZGBfMG1gaoCD0KdgszDnEOJRB0EPIQIhFOD1oPtQ6ZDtQNsAukC6oKWwrnCSsJ/wjDB/YGgQUvBAwDlwBM/sL7uPgN9jnxPe116Nnlt+PR3kXd5drZ2+Hdt92N46XnL+xo8vX1bv6uApkGDwtVDLIPGw/DDo4OfwwADKEJ4QeFB9kFUAaIBTkG2ggtCakKOgsPDNYNGA7RDvYOUw4YDrkMxgwMDTsMjQtcCnoKGwpdCX0JiAjtB6QGQwVlBOsBUAAS/rz7aPnN9Y7yPe4G6SXnkeXk4v7fmtwW3sTf5OHy5QzpGe4m8uX24fyIAc4F5AeWCg8MXgyrDFoLKgupCRoIRwdJBngGpwVJBakG3AcsCaYJ4QrUC8YLwQyiDQoOTA1gDBsMFAz6C+QLCQt9CicKEArBCf0IFAhCB5YGgAUsBFUCswAU/hP8TPrM93300O/f6qfoquY+5Lfird/w3kXf5OGd5gvpoe188Y31ovve/tADigb/BwcKhglxCuYJ2whWCPYGFgd4BpYFwwXbBSgH/AeKCC4Kpwq1CqwKEQsKDPgLkgvZCqcKjwqzCosLwwsUC+UK1gopC6gKlwm1CLsHAgdVBTYDmQGz/wP+6vtY+Y72W/IN7k7qkumM58HkfeFu3/rghuIU5sDnPetJ8JTzdvik+zkAhARVBZ8GKAe/B+4HqQa1BiIGtQX5BM4D9ARJBr4H2geRCEQJuwlQCpgKuAs/C2gK4QnECQMKowlkCTkK2AoAC58KsQoBC2wLfQspC9wJDwgcBzoGZgWzA8cB+f/M/Vv7u/gm9jDyLO726snoKuaT4eXh9eH+41fmUOZt6i7ut/I999L6vf/EAr0DqQQ9BUkHQQf5BgIG7gSHBOID3wQ8Ba8FawYMB3IIYgmxCfwJxglvCsEKKArRCEAIkQjkCPQIDQmECdUJrwlyCnwLHwyRC3UKPArkCSEJsAegBoIFFQSCAk4BcP83/Z/6+fco9e/whuvt6DLnweVK4xnhp+O75Enn++kL7afy6vQf+Rv+qwAsAykDRAUpBhgG8QXzBOUECgTqA0gEuAQJBaEFjQYVCMwITAmkCUUK9gm3CTEJTQi9CEAIkwcQBxsHigcRCH4IDgl2CZYJvAmxCU8JIgnqCFoIqAeIBpIFnQSTA1wC0AAi/7r8Q/pH9+3zVu/66pfoJ+Y15EnjwOM35bXnq+pP7tHwkfRL+Tf9PAENAp0DCAVEBWgFOATWA/MD8gNaBHEEZgQtBRkGrwdjCEAJXQojCi0K8wkHCj8JCQiHB58H3wbaBYoF7AXoBsAGFgduB4oHkAdeB68HYwfHBgEHwwaPBgcGJwWHBKEDnQLzAOz+Rvyy+Yj3qvNi7wfqQeY85dfjsOUZ5W/lPegI6yTxb/RC96n6Bf2aAVoDxAS3BS4EIAQZA4QD5gPIA+0DswMXBR4G7AYWCDYJlQqECigLLQtQCrEJ5gd7BzsHMAbyBFcDlgNCBMMEvAXnBeAFgAWkBbEG+gZ7BrkFZQXaBcYFdwVYBeAE/wOxAi4B1P/V/U/7F/i19HzwQewf6OvkZOXL5QXn8Od+6KTr1u4I8zL3A/po/fv+HgAvAREDKgSsAuEBVAGzATAC3gLvAxUFtgXBBuoH3gmBC8wLtQyPDAsMiQsVCrsI4QdpBmIFogNwAlICpgHLAYYC8wKgAt4B+QHJAoUD8QPJA+sDAwQmBHgEAQXsBFIE5AO+AiMBIv/4/F/6zfYB9ITwp+zm6F7nv+mW6a3pO+o/7QzyC/Si9pz5c/x6/VP+qP94AZABzAC6ASMCEgJxAd8B6QP9BPYFHgcmCLgJ+AnMC/oOKRDbDz8OQg3NDMYK5AjnBgAFvgPQAYcAFgACAMf/n//5/1EATQBvAK4AiwEhApoC9AIDA28DiwPzAzEEVQSXA8ABUf9Q/Rv7EPh+9Lnxee9z7VTraeoq6/Hq2+xO79XxKPUR9Wj33PrW/Jn/Mv6Z/9cBHgLIApMBmgEAAgYCRgMhBJcENgWdBd4HCAkFCtcK6wz2D4MPcw9ZDiAN3gsICcgHtwWbAkgAsf4C/4L+Cf3h/Ij9zv6G/8j/dQDEAD8B0QFRAtYC3QLCAq8DfgQPBJ4CvABD/wH9pPrm98X0x/Hg7int5uyv7NLs++zX7pzxJfM39Tb3Hfr4+6H8y/0r/x8ATADWANoBagIfAisC0AK4A1IEZwUCB88ILAoiC1wN3RDeEt8SCxL7EEYP7QuNCVkHlAQ8AqD/7v6S/l7+gv7s/dv9T/0a/d38gPyf/Fz9rf4RAKcAygFQA2QE0gQ8BH4DLQLS/079avuA+I71j/KI8ZzxDvHI8JrwOPGH8j7zofRH9of3Yvn5+bf6L/t3+3n8zP0Q/0IA7v+w//L/8gD9ATwCdgIoArUC9wILBEsF5AY2CT0LcA85Eq0S3BIREnYSThAtDJEI8gOrAIn9W/ul+o/6W/t8+/37rPwL/Yz9p/3Q/gD/iP7c/uD//QGWA3YE4gT7BJ8ESQP3AIj+s/ue+QX3dfQq8hzweu9M72fwlfER8gfzMfTL9cT3z/iT+Sz5Lvkr+kb78vyK/oH/cAAuARgC/AK+AmgCVgI2AnYCWgJvAi0D2AOgBl8JHwxiD8AROBSlFF4UMxPtDioL6waFA44Al/yi+iP5BPlV+ln7sftj+5j7c/y4/Dr9hP3Q/W/+EgBFArwDWgSNBLYECASCAsL/rvwH+nb3bPVK83nxh/BI8AfydPNK9ED1xfUf9wn4bPgs+cf4YvkM+vT6hvwT/an+oP/KALcBPwFtAQwBVQHiAZgBrQGFAS0C0wMuBZUHzAkgDRwT3RWgF9gWsBQDEzQOCAqdBv8BIf6a+hH52Pkp+Ur5S/pd+/77rfvn+lH6Z/r8+rj8s/56AGACxQNMBacGegYhBVsCFf/h+zT4OfWH8hvxgvC98Kbx1fEF88bzDPVM9k726/aa9mD2u/fP+LH7Hf3w/R4AFwE/AsEBQwBy/8H+z/7J/z8AvgAgAOP/YABMAVQCcgMjBekH7wumEB4VvxcbGDgXohV3EVcMoAaaAa/96fnr94v3XvZJ99z4GvsA/cX8tPxu+0f7lvyg/Y//lQFsA+4FGQf2B5wHYwaBBEkBav1e+Yj1jfKf8LTvVe868OLwofE389bz6/T59BD1ePWo9I/1e/f0+GX7FPzX/hYBwgF/AhICFgLBAUsBKAFhAfT/8f5X/r3+c/94/38AwQMMCHkNaRIOF9IZMxmnFhoTNxDECqUFnQJjAO/9kfpp+Wz7Cf0D/f/7mPps+Rn4Xvew+Ub8of7rACkDiQZPCFcJhAkXCZAH2QOr/7/7B/hx9aDzDfPb8cHwv+/q74zw1fAe8VjwV/B/8OnxxvOv9TD4yPuh/jIBMgKDAu4CSwNFBHMFaQb3Be8EwgKmAZX/Rv0Q/Jn6+fq0+9f9fAN1CCQPThY7GYEa6BYZE6APeQpTB+ID5gDE/Uv78fos/F38LPyh+3f6pPiQ9q31wvYF+VD8gACRBNkHqAlnC0UMzQw7C6QIegX/AVH+B/uI+OT2qfVE9BPzp/Gp70rtSutX6cbnGeYO5mjnSess8Hz2vvwNApUGlAdkCNgILQeXBl8F9gSNBlcGvgbkBYsDkwFn/hD8qPn995n3yvi++57/igbPC1IRJRVXFnUWXBJwDg8LYwdDBWYCVgB2AGL+m/3T/b/97P56/QT7Hvrt9+33JPlr+6oAuQR5CDgLmAy3Da8NBw1TDOMJtAYHAw7/Ffw9+cP3R/d39hr14vGT7pnqyOaM45Tfud0N3Xbg7+f67j/2hfxsAacGRgglCDYJ6ge0COYIqQmkC/AKxgqqCZAHLgS4/oX5TfUk84HyW/Qg+Zb+YQXICdUM/g86EQYRhA8aDr8N1AvRCEwJSAktCRYIPgUDBfoC+f+A/tf7Cvt2+vz5bvxh/l4BdASsB9kKswzoDVsNNw3eDGsL+Qm/BzUFqQK+//v99/te+uH3R/Rd8OLr7efc4zTi4+Ai39ze1N5K5aPt2PRO/c0AIgUcByMGeQgVCR8JxwoqCtQLZwzyCSYKeggHBZcB2Pye+CD2Q/PQ9OX3Xfp2/q8BugRUB9wHcwhdCdAIJgkDCr4K4guDDQEOEg+mDgQMsgnkBZYCqQDB/bv8cf2i/R8AsQLdBL0HMwiTCC8JygigCfkJcQpmC6sL5wurCzgKTQgaBssCgf/7+6L3UPRQ8WrwY/Ak76jtCupt5gbje+AC4Ufjm+dg7Qvzn/k1/8kD3waWB7MIXQgCCDMIDAZzBukGdQc8CMYFFgXqAuP/BP6M+gz5Ffdv9a33eflM/QEBegNaB54IWQh/B30FGAU5Bu0G7AhWCpAL1wwEDWQM9gvACTgGjwMKAh4C0gKLA1UFVwfPB+kIGwnACPYHRQckB78H2gd/CNoJ/goEDKwLjArgCOIGDwRhAbf9PfpP98v1yPV39Cjzg/HF7jzsTeen41bh+99p4qHkm+ma73b0tfsx/8YBgARoBFYHBwcxBsUHSQhPCkYLtwk1CvcIkQZrBKQANP6S+1j5qfgY+rP79f1SAGMDPAWiBC4DOwICA9gDbwRMBeYGtAgHCrwLEg1tDfkMgwq+CZ0I1AZlBukGrQhTCvkJtAnQCaYINwidB7QHugd5B78H8QjbCccKMwuuCqUJ7gfiBZwDxwHt/5T+Tfza+Rz3nPTG8rzwb+/T7XbrwOhV5d/hU94R3dnepeLI6OPtJvQQ+HT6GP7R/2ICwARRBtYIcgmtCcALyAzJDXwNfwy+CkcHWQNpALD+qf2a/eP94v4//4//QgCSAM4AFwFLABIAh/8dADoCiwO8Bj8JXwrWCpoJhAlTCroJowqJCxIMEg1PDOgMag3HDM0M6wtKC2kKoAiOCL0IuQn5CqoKawo4CVoHxgV2BJ0DQwOQApABhwAZ/l37ZvdP81nx2e8/7pbsVer86LPl6eJ14NLegd/c3uDg3eOq6E7uZPLI9uL71P3L/1QADwKzBBkFwQghDLEOpQ/BDrcOEw6BCgsIIgbWBPcCnQHsAdcCEgIVAX4BxAAHAL39QPzu/IL8O/0bAIUBUAPYA78DIAUgBa4EWAbQB8cJmgueDGgOIw/MDpgOFQ+IDsAOJw/7DjgP3g79DYoNdgxYC2QKNAn2B+MGVQZfBXUEmwM+Ay0C5ADY/iT8q/jS9A3wLu256oXpNelL5xrmtOL23vrcwNsL2+/cZd4L44fnv+qh77rzy/fH+QH6I/3I/iEBHwWDB2gN+A60D7YR6xC7D3ANuwrLCtMIJQdJB5YHrQehBRgE7AIbAW3+K/1R+xr7KvuZ++P9nP4c/uP+N/4w/j//Yv8mAmsFhAeLCj8M/gz2DlYP1A8TEb0RdxI1E/cS8RMPFJMTAxOvEUgQRg4cDFwLwQoyCqQJdQhNBz4FMQPAANn++fxL+/v4X/ZO8nXuc+or51PmrOQU49ngDd5C2wPZ/dZ32JHcqODv5eTpF+0O8cLxAvOu9fz3Z/xGAA8EQAhcC5ANmw+FD8gPwA7lDFYN7wyEDKYMRgzNC3EKkQdZBfwC8QBx/lr9Of1x/Fj8T/xD+5r6Ovlx92P4M/lv+dv7Vv8IAfcDgQRGBjUKGQvQDLEPnhGTE18VqxaaGIUZKRmEGYEZLRgUF7IV0xU8FR8U9xLLETYQyQ1aCwEJ1AYrBGwBu/6O/B/6xPes9OPww+sq5xjiUN6P3Anaetir10rV4NW/1mzXSdyE397jLOZB52fo6+s/8FH0Yvnb/aUB+gQkB3MJQQxbDa8PaBDiEWYSyRLoEsMS9RHiEAYOjQu/CX0H+QVVBPsCGwF1/4P8APvj+cj4XPcu96v2H/Zf9ub3bfmx+qT8Yv0AAXIDbwSJCL8Log4QETUT/xVCGJUZZhpxHMkcKB29HK8cKx1RHLYbPhtDGcwWUBQCEocQFg4oCz8I/ARwAbD9nvm+9Wvy3e676rrmwOEv3TLYpNTd0yXT+9JE1VDV8NdE2ZjYQNuY3fbg6uSu6ZvtefNZ9tj5Pv07ABEF1AfMClwNehDYEh0UCxXuFZ0WVBZ/FSgUDhMwEbMOww3wCxQJ+QUuA/AAuP/M/Hv7YfpB+Bv3gfUf9dn1mfXX9VH4pfhH+tL8bP8XAlUFAAcMCpoNNg/aEqMVXxgRG74bqhyOHqQeLyC3INUg9iBsH6Iebh1HG/EYghaEE3cR4w1QCpIG8AHI/dv5cPVU8cntdej/4wnfR9op1pvS5tBw0v3Rc9K50rbR0NKj06HUk9fa3bXgaOUn6V3tdPGA9fH47vuaAeUE+ghlDDsPRxFSFEEVjBZBGNAX4RiSGLkXMBZfFBASaxCDDqsLKQlJBiEE6AH0/0b9vvwf++X5svg39gb2xfUi94z4CPvh+8791/9CAAoC8QSDB3YK+Q6uEQUUbxafFw0ZAxt3HPodkh8oISohRiG1ICAfiR0yG3YYwhVzE3IRwQ6rDC0JCgTr/vT4CPQ88QnuP+oV5sfgitsf197S/NFW00fSsdNE0TbQO9Hr0IPTNNhx3OjfdOOh5Szp7Oww8ef15PoF/oIBDwWPCKILPg9qEiQUdhWfFm4YeBmNGrIZ4RmcGCQWkxSrEu8Qng68DIgLrgnoBtgEFwK0/wn+Dvyj/Hf8Q/vM+y77u/po+x37YvwO/zsAHwJUBJIGlQjWCrkMGQ9+EfcSOxb+F5EZ3xpxG1AceBxzHJ8crxxcGwMaEhghFloTcQ9uDF8J7Ab9BCgBUfwp91XxZu1W6svmhuOa4I3c6Ni51W/ULdQV1LDUmtPp06PUydQI1hnav9yM4M/jDuYu6t7sZ/B481D36Pul/xMD6QZ0CVAMYQ4LEZoTjRX8FioY0hmaGTMZdxfwFgMWbBXXFJoT3hEVD4UMnApvCkIIjAZHBtsEnwONAY//XP88AJD+Gv9l/yP/jQCW/7YB+wJoBE0GjAd/CC4KSwwADpQQLhEcEukTgxSCFeoVeBbNF3MXlxbBFEITLhHsDwgOjAybCzgJiAWPAfj8P/m79or0v/G47iDqXOVD5IHh9+Bb3r7cCts02uPYqdfQ2PTYntoo28rcm96n4LPiDeUr5wLrxO2Z8OnzKPda+kn95//yAnEGAAmQDCAOEBBaEXASsBOIFT4WchZqFp0V+BUcFUIUGxMkE2US9RBmDygN2wwuDPgJRAkiCGAGBwZSBd0DjgO4AgoCaQOkAikDHwS0BBMFSQVJBnQH+giSCQsLOAwEDfUNKQ5SD6MQ7hChEXwRfhH5ECwQZA4iDMgKnwkSCrgJOgepA8n/7/tp+bz32/V89H3ytu4F7D3olObJ5QnjH+O74Zbg2N+q3QfdzNzi3b7eMODt4TbiluOh5HDmp+hl69XuzPFg9C721/cT+lb9ugBeA2YGRAhzCQsLmQzlDWwP6xC9EbMSZhKmErQSeRM1E9gSnhFSEJ4RBhEdEX4Q/A2+C/YKUgpUCv4JEAlVCDAHQQaWBZMFJwY/BiUGagZ4Bu0GKAfvB0MIjggYCQEKKwuVCyYMlQwTDYcN7QyjDLIMlwyfDLYLrQrACXAIUgbeBDcDgAF4AGr+lvzp+Uv3i/QI8yXxK/DV737tZuyD6G/mjuU85DXlzOQ45Ojj3eL74QniXeLM44PmEehF6QPqsOp27BDuJvBE87/1R/jB+lP7Jv3X/qsAyAKiBHwGsAc+Cd8JwQoGC/wLlw2lDdsOLA/oDsgPmw+AD7EO5w1ADvkOBw/IDYsMiwssC+cKKQqBCs0KxwkPCbEIawjdCNUIuQj6CAEJIAl2CZUJiQnsCZkKZQvFC7QLrQvzCw0MwguvC8oL8gsqC+cJVQgMBx8HDgZ3BbcDTAKxABr+8fsv+kT5kPf19//1R/Oh8YLuCu0e7ZnrmOrR6Zfo7ecg5grlBOW05Uzm6uaL533nFOiN6CXpQ+sP7S3vS/Bq8a/y6/Mc9r73mfnw+mH87/0l//v/ZAFXArMDTgX5BeAGZAcsCK4Ibwl4CrYKmgsmDOsLWwz2CxsM2gumCw8M2AvcC6gLBwtzCrQKwgrPCtcKTwouClEKjAqTCkIKaQpiCqkKMwt9Cy8LUQuCC6YLFAxGDB4MJwz3C34LOAsfC38KIAl6CCAIQghzB+IFjgO7AYUAewAV/wH+ZPxi+ob5nPcc9lL0RfMU8tDwRe967vTsdusx6rDp6+mC6aDpWelK6Evo5+iH6WXqVOvw64HsDu7i7lHvb/AP8rTzUvWV9jX3q/ff+FT66fvR/Kb+Of++/5QAZgFwAgcDVwS6BN8FrwaRB18HyAedCKcIcQktCsQKpwoaCioKDQqsCjALBguMC1ALNwsDC9cKIQuHC68LZAxADKcLXguUCwkMbgyhDNQM7AySDIQMOgyaDLYM1wxPDL0LqAs6C4YKUQotCcMIzAdUB8wGkQWjA2UCvAFPAML/Y/1P/Ez6+PoN+QX4Ofab85DzS/KN8XjvGu/d7X/t8uvN6hPrA+t063frrerC6ivrTetH7Jnt4+357izvFvCn8Tvyp/NC9Ar2ufaF94D4nfnU+qr7qPyz/a7+iv8eALIAFQKQAm0DHQTqBOAF5AX0BlsHwwefCNYIAQl1CeUJygkfCvcJDAqkCgwLEQsrC+0K9wodC2MLXQuSC9ILegt4C0ULoQuVC/ILqwuoC+IL8AvDC8oLqwucC58LJgsPC5QKKwqJCTIJaggJCPgGvAbXBUAEVAKhARsBdQDk/gr9NPxo+lv6fPm995b2jvW88qTyw/Fu8ZXwZe7j7V7ssezr7Mvs5+wK7Kvr/Oug7Ijtku0b7mnuy+838CbxI/Ii8qXzlvTk9RT3kfcR+CP5O/pA+2r8Vf1i/hH/Sv9VAIMBSAKjAqADjgQuBRkGkAY9B7EH0wdtCEMJ8glkCtMJWgqhCoMK5wpsC8ILngubC14LqguvC3sLcQsJDP8L8wuCC2gLQAshC3UL0wveC7gLjwvtCtcKqwrcCroK0QplCsQJ+AjFCFQIigeJBhcGpAXoBPIDxQILAUD/e/7A/TD9bPsr+jD5cfdH9571SvMK9BjzWPGw8PLvrO5S7k/sEOxe7S7t9uya7Avr++sm7Qjtve5e7pTvkO9Z8Gfxo/K98/LzX/VA9qX3qPg8+RD6tfpB/FX9Rf6+/6n/ZwAtAWsCXgO6A1kEiAXoBYoGEwdZBz4IvAjtCCQJvQkHCgUKIAqCCpcKzwqpCv0KAwsCCxELRgs5CxQLmQrQCj4LegvyCoIKqApsCrsKgwq5Ck8KOgrgCRsKGgrACR0JCwn8CB4JkwjLB8kGEAYlBrsFuwXmA/ECywB2AHsA+f6f/b77ufok+pX4Dfg49uv1gPUe8xvzVfG18Jfw4u7+7Tbv3e107cHt5esp7ErtUe2s7jTvbu7n7pbvgvCq8TfzrPOg9HX1QvYU9x74ZPmL+vj7o/xm/U3+Xv86AAcB1gE/A+gEYAQJBWYFEwYtB7wHvQjwCCUJfwnoCfwJuApoCh0LyAsXDOsLKQtHCyQLjAsWDOULOgzKCw8LjAoMCrwKNws6C74KPArpCSwJFwlZCYkJ1AlTCR8JiQhCCMUHIAd9B6oH2wf9BrwFjQWKBHIExAJLAogBPAGVADv/3v10+8f6GPmR+Xz4dfeC9u/0T/Qd9Enx8vAa8VnwePCE71Tud+7s7O3sue0e7VDu6+2I76ruAO//7m3wsfG08rHzUPRx9fj1LvbQ91/5L/rT+4P8M/4C/h///P9yAcgCuANxBKgFvwWNBjUH9AfhCBMJugnvCm4LAQu5C1QLDQwzDBsNXg30DO4M2wyiDE8MeQyUDHIM6gwHDF4LswtjC/AKVAqbCtQKBQt0CuUJUwkJCTUJWgkhCRUJWwgsCLMHXgcuB1gGDAZiBS8FpAQqBM8CGAFRAB//I/9X/kv8o/u4+Rr4pvfx9uj1rfUb86XzNvK98DjwYu6k70zuV+6S7HHsduyq7HPsi+x57fLs2e2I7ujuD/C58PPwuvKR8470UfXH9rr3uPkf+lP8Uf2Z/Tf/GQBBAt0CeQThBMsFeAZIB6AHZwmjCegKNwtzDBsNjQuDDDYMyw1FDqwO5w21DXANiQ0fDeIMQw1pDcsNdg1QDIQLfQtIC6wLugsSDEMLkArcCdIJ8wn7CegJ0AnGCZEJ0Qg7CIQH+QZGBjMGbQZcBsUF4gNmAzYBQf/+/tP9TP7Z/Pr60Pgm9u70PvLN9L304PME82DuKO2N7Cnr4Os17cjsS+w46sToduir6UnqjOuh7E/tx+2/7Qrui+7I8OrxbPTA9lP3UfgF+R/60/xu/lsAtgHiAiQEFgVhBvQG5Ag1CWQKyQu5DGsNqAyFDQ0Oaw8qEL0PwA9uD4EP9g8fENEPyg4XDngOow6nDlcOFA4hDYUM1AvjC2cMPAy5C/cKzgpECpQKJgqiCcgJ/wgzCWgJ0whNCMMHXweUBv4FlwStBGkEjQM0Aqr/wv1a/Ez7gfmJ+OP3mfhk9ir1hPEQ7jbuwe3E7wPvxu1A6x3o/eYV5oPno+mR6nnr/ujH55HnEOc76svsbvCj8SLyqPH78EHzd/Ue+Ub8aP6c/zsA3QB3AsoD6gUtCL4JWQtoDccNtA1DDXgMLQ+UELAS6BNEEooSiRGnDxoQnRDZEYcSihJ9EWEPXQ6fDbwNcA6nDhIOkQ0IDfYLsAoVCnAK2QpLC9wKwglgCcIIiwhSCDEIKwjkB8YHDwc/BksFJgRyAk8CMQFdANH/QP3y+3v5a/b+9Kv1K/Zx9vLzG/G47vXrr+pE6XPq2esK68bpDOeV5DrkgOQD5s/na+me6e3pmuna6cbqteyh8JHycPWy9pX3QfmH+hb99f+JAvYEnAZfB2wI1AlLCxkNHg8sEJkQLBF8EX4RORL3EjgU/hRnFK4SsBHTEFcS0RPYEtgSIRCcDnEOwg1ADkUO8A1jDWUMKQtFCjQK3wkFCp0KZwq1CW4IhgddBzIITAjPB5oG8gXUBV0F1gTFAxECiwAr/zb+kf2M+wb6vvdH9lT2+/Tl8dDw3e5d7vbtm+u+6ffmuOaA5c/lSOZO5WPl+eOr40zkP+Qr5kPoPurI64/sNe0s7rjxMvTp9gX6k/sk/ZP+6gDYAr8F6Ad8CVELTgxeDVQOfg/NEf4SfBOgE78SExM8E94TdRT2FIMU9BN/EscRYBG0ED4Q6w+ZDxAPsw5UDSwM8QpjCowKJAvYCpEKUQmZCEcICwjxB8MHJQjyB+cHpgfiBvoFPQVmBGUELgOyArAAM/+v/cD6AvnH9xn4BPim9pDz1/Bo7VXsYOvH6uvq9OkN6EfllONE4ujiD+Ty5N7ka+XV5Bfl9uUU5yHqLuxA74bwU/Lo8171jfhf+vn9SgAnAvwDCAa0B6AJpgu/C80NNw9uEJ4SDBMhE8MSqBGqEq8S8BPrFHUV5hSzEvkQcw4DD3UQIBFMEd8PRg0LC8oJlgltCmULdAv8Ct4JNwhXB8QGUAfiB8cIAwkWCN0H+warBjAH/gYhBooFLgRvA7sCFwHc/6z9avry9nz2HvfN99b2x/Mm8cHt7Opq5wPmfecu6HXo9OZB5Q/jx98u3w/fVuLu5QToiOnB6FDojeeB6YbsQ/Ei9bn3xfqR+8v8i/19/vIBJAV3CIELKQzFDC4NFg2vDpUPsRChElsTbBTQEzETxRF2Ef4RNRKOEgMS7RChDywP1Q78DQMN2As+C/AK3wp5CiQKywkLCaIIhgdFB4sHMQjwCNgJeAkvCAAHowb1Bn4H9gfABzIHFAWOAwQBIv+v/e76OvqS/Bz96vu398bxPu4b6w3rJOzO7WruEO376A/kKeGY3sXf/+Jk5s3otuej5bLjBOOa5O/moOtv7//ysvUE9eL1+PUu+KT7JAB/BHMGOgjCCNcIjgmoCpsLDA/5ENASwhPkEtERdRATECARVRKEErASIxI1EZQPDQ7ZDPYMMA01DbcMHQweC78JXAkUCRgJ5AjfCP4IhQleCeYI5Qg2CCQIRwgiCJQILwnJCHkIwQeNBhIFkwNjAqkAWf8e/a39x/3R+0H5h/Tt8PXule4a7l3uVu7P6mvnSOT24iHjF+MO4zzjeuSJ5O3jE+RV5I/lJuhE6fTr1u648HHzJfXL9lz4r/l0/BkAkQTDBmcI3AgvCM8JMQvJDcgQ5BIJE0IS9RAKEK8PvRDvEVQTqxPhESgQQQ1FDGoM6Aw0Dn8NcwzkCgIJAwm2CCgJpAmKCZoJ+QilCGsIrwgVCb8Jlwn+CNcIXwiWCNUIEwlhCEIHsgX9A2QCwgDy/l7+Vf6K/TL7MvhU9R3ylfBj7g/uSO3163Lpu+aL5V3kF+Xw5BTloePY4jLileIc5cznS+pC7ITsguxl7X3uE/JT9lL6r/0I/yv/7/8CAfoDwAaSCqoNWg4yD4oNGw0LDm4PlRHRE+wTGxOjESgPcg6bDvYOog8IEH8OOw1ZC90JMAoqCr4KnApDCk4JcAj2B7UHvgh0CcwJ0AlWCcoI5wgeCWIJ8wnZCXgJOwlGCD0HUQZpBKwCLQAJ/9D/HQAp/xz9g/ma9NfwXO7M7LDto+697bHsWuro5oXk0uIZ4ZDiz+RE5x7pNei05i/m5ub/6PLrdu718TH0T/Y89wT4evns+7j/JQMJBqwHAAlRCasK/wvHDdcO/w/oEIoRJBJHEWcQHBAMEGMQuw8XD+8O+g2BDU8MoAvwCp0KKwrJCfkJrAljCcIIJgjfB8MHNAgRCcAJjgl0CdgIkQjfCKQIUwlSCSMJbAgCB/kEGQNLAUQBJQLwAZcAPP2o+Sb3APUK8zHx/e6J7lPtOuwR6mToy+eM55DnreYI5qfky+QA5dfmzego6kzrQOxp7oHvQfBU8XLzo/a8+mr9NP9NATwCvQOXBckHQArNC+oNMg4ND3wPzA6TDzEQbRFpEfsQ8A/mDikOrg1+DX4NJg18DIwLgQouCtgIugjTCF4JjAkxCWoI5AfbBxYIYQi2CH8JKwn2CLUIvwgCCaoIpAg0CCoH/gVLA5EBWgHSAdwB6wAM/078jPgw9SLyG/BS7/3t8O3E7brszuri6N/mhOZb5qfmnual5vzlNuaQ5/HojOuY7GbuJO/b7zDxQfIw9YD4I/xO/xcBxwJjA6sEvgaiCDcLigx5DRcOYg4cD7UPCRBNEOkPTg/PDiMOyA2QDaoNUA0IDUoLEQoUCUMIoQgfCTsJ+Qi9CG4HWwdfB7EHQQhyCPEIGQm4CNoIzgipCNQINAjTBwwHpAW+A7gCcQNwA2kCrAC+/bn7sPlP9+X0O/O98HLuH+1V7PXrIOxl7C/rvupD6ArmLeU65S/mD+gh6rXrNey97Mfs/u3K75vxzvMB9jD4LPoJ/Tv/hgIgBLUF4waSB7UI1QkUC0INhQ72DnEPsw48DrwNwA30DTgOGA43DZEMLAxjC1YL0wpwCrcJ9whrCEIIhgirCB0JOwmQCfsIrQiFCNQIaAnPCXoKTwohCjEJhwjlBxAH0wVZBDEE9AMoA8MB5P97/Vr7i/h79fDyEfF27qTtIe6s7pPu6+zg6onoWOge55nmgeZZ5p/nxOiR6WfrSuzC7czvhvDL8ZLy2PMl9rz5Jf0OAIICjAPGBOQF/wYVCGgJqgq+C/YMRQ3oDRMOFw5QDpMN3AyXDOAL+wtLDJAMpwxfDKILSAqJCSIJ9wgdCYkJegngCcsJBAo1ClQKrAp2CpAKmwrfCuIKjgrACsUJEAlqBw4F9ARpBEYERAObAZP+avsz+JT0lfIS8ZbwRfAj8GLv1u117HnqBOl16MHnX+ep5vDliear52vpV+uz7OntlO6t7zHwpPEp9Mf2aPql/cb/qQE4AxgE3gUMB2UIgQnwCeMK3wsBDQMOaQ4ZDroN/AwXDI8LzAs+DKgMtwzCDEkMigu/CvsJ7gnuCb4Jggm/CSIKmgr0CvsKagtkCx4LEAv7CnALgwsiC+MK6AnfCCUHIAWsBNkD4AIVAYn+avsZ+Nf0KfLf8M/vsu8O7wjvLu547B/rAOmJ54Xm0OXW5eblrObs58TpCeu268Hsve2P7zPxjvKp9K/3D/o1/cf/FgJDBAwFXQZ1B0sIkAlBCpYLBQ0ODmcOmQ6JDgQOrg0KDVoNsQzCDDYMPAyJDIYMfAyXCyELOwr3CZMJmAmZCUUK8QpVC6QLTwuPC28LgQuCCzQLKwuaCugJVAkpCPQGJgXCA/0CcQGy/jv71Pf19GPzaPGF8Pbvoe9n7+Lt6eyG6p3oIOfx5QnmiOXL5b3m2Oez6dnqwOvq7A7uI+8P8dPy6/R39yb6ef1JAKUCQQS8BSEHBgiBCL4JsgoTDEoNHg5GD4MPHA+qDoYOWQ7SDeYMeAy1DLgMlgx6DFUMbgxsC3EKBQrUCb4Jxgn9CbIKXwuKC6sLwAsaDNALswsJC+cKRApaCXsIPgduBXED7gHh/3n+m/vh97/04/Jy8bLwDPD070TwGe/07E7qcegw5yrmYeVE5Q7mfOYg55XoaeoB7BDtAO4n7yHxyPIp9Jz2/vkg/UQAHQIEBPkFGgdVCAwJ1gm/CuwLtgzODcUO6A5ZD4EPfg/JDt8NVQ28DO8MoAxwDJIMggx1DNcLbgvpCnoKeQoUCiMKhwoCC38L9gsuDA8MTQzOC7gLAQswCnAJMwgFB+oEQALE/6z92/vY+cL2HvTK8UzxqPGe8erwwO8t7szrIupi58bleuVB5eXl0eY+5+jnVuni6ufsbu4m72bwE/LX8wj2LPgn+2z+LgElAw4FkAYDCFAJBgrMCmsLagz6DG4O8w5FD5sP8g89EBEQdA/yDZ0N/wwFDQ8NAg01DQkN7AyJDMcLOgsaC/0KLQtTC2gLqAvHCzcMJAw6DAAM8goDCrUILgdzBRMDXwDX/df6lfic9XH0mfOY8pby1fF38RPw1u0R60fpp+cw5n/lIeWL5WHmiObw5znqb+vp7I3tke5Q8D3xZvKP9GH3Xfrp/Fv/6wECBJcF1gY+CEAJ1AkvCgQLywwYDvEOVg/pD38QexADEO8PHw8+DiAOcQ3cDR4Oow3gDeINpg3PDO8L9QsbDGIMTQweDA0MFgxFDDsMAQwADOwKjQl+CMMG0ASAAq//wvzA+Qb2tfMM85/zu/MA8yfyE/GT7gHsd+kM6HHncuVh5ZDkHubx5p3mcujj6WLs0Ozo7e3uLPB88XXyrfQW9476tPwz//QB8gPXBSkHUwgNCq0KYAsmDAcN3w7eD4kQaRFBEvERzRGCEd0QqRChD1IPWg9yD2YPrg7wDi0PKA+wDg8Oxw2QDVQNnAz4C+wL+QsFDIgL4QoaCsQIMAd5BQcDNQDo/BT5Dvbl85ry3vEi8wj0svPc8R/vzuwd6zjpz+aL5arkauQn5IPkfeaH6OPpzOtH7bfuuO9A8Mzwh/Jw9In27fg/+1v+kwCeA88F3gdQCdcKQQsDDLsM4AyYDpMPexEpEhQTXhNcE68ThRNkE6kS5hGpEJ0Pxg/oD2AQ6RDVEJkQihD1Dz8P4g4LDn8NWwyxC9QK7wmMCUQJcQi7B10FZgJP/5H7TPiJ9I3y/vAL8VXxjvFu8aTwu+8h7fPqJ+i05ffjjOLF4qHjO+Vp5yDp6OpI7WLu7u/X8M3xsfK980D1+PZt+cb7ef7YAZME9gYqCf0J3wtMDDMN9w2tDicPCRADETgSiRN4E+MTcBQZFbYUihP1EUURHRGfEJIQLhAnEPkQ2xD9EKsQCxBiD/YOFA6rDAYLaQl0CJ4HewbrBCUDNQE7/9b7tPhU9W/zSvLc8S/xIvBI7wHuFO1z6m3oHOYj5UvkV+PG4xXkNeYn6O7pyeu67TPvYvAI8fjx3vKX9ND27PiK+5L9AQEKAxYG+QdhCZMLaAy/DboNdQ4/D94PyRG0Ep0TrBS/FCUVTxW9FPcTNBNAEpcRJhD/D5YPFhDdEKEQvBCREA8QJA92Dv0MGQygCkgJlQfMBXAEiAJlAYT/nv3k+qL3DfWG8nPxePAI8FHv1u4x7V/qX+h75hPmbuV95BPkV+Tq5K3m++eX6hjt3+6V8NfxGPNs87j0JfYt+CL6E/zn/dwAxgMYBo0IhgqmDNgNiw7TDmAPahAlEaoSQBMhFKUUExW2FccV6BWHFGgUwhKbEcIQiA8hEDUQShAJEJAPlw87D6gORA3LC9UKJgl/BwoFvAIVAb3/Mv5x/DL63fe09Rz0DfOW8S7wQe+T7gXt0urX59nlueR95IvjuuMW5ULmyOeJ6fnrLe4E8SfywfN69Cn1j/Vo9gH5Xfoh/YX/QAIuBVQH8gmRCzQNkA45D8oPKhBIEPMQaxKLExIUlBRVFaoV6xXpFGcTyBLTETIRQhBrDwYPIQ+yDwYQ0Q8MD2EOaw0vDIoKugfZBWsEvgL6AFD+rfwg+yP6oPi79pr1O/QE86TxN/Am7lzshuoX6WDnVOUM5M/j7eRh5qTnY+l164XtYu8R8YXzj/Ss9aj1ovY2+Cj62Ps7/k0B1APnBiIIwAqOCw0N9A08DwgQfBCBEbsRXRMZFLEUORWJFfEUXxQnE2IS8xAlENMOJg5WDsINUA6jDc4Njw0FDbIMPAuQCZIHWgVGAxsBzf6v/CP7pflY+Nf2T/VJ9T/1K/UJ9FbyO/BG7grsoOnh5+rmeuYO5q/moOfs6Tnsru7n8LnyEfRH9Ob0UPVU9hj34/jV+ur81v/SAQgFBghHChIM0wxqDawN/A3HDm4PqRDrERITzhNvFMoUtRRHFYgU/hOhErMQlQ+QDSsN3QwFDX4Ncg1uDXcMGQwHC64JLAgLBtQDwgFH/8P8CPvF+Rv5r/eo9n/1y/RM9KDzV/On8mbx1O7K7Obqr+l66FLo/ugU6h3rnusU7dXvVfLU82v1WPZT94n3L/i9+NX6yfx8/uIAPAOhBdoHxgllC5QMlA2ZDUoODw+ND9MQJBGGErwSOhMJE2ATbRNbE5gSiRH1EE4PGw4yDfQMugyUDNMLRgvxCk4K4ginB/8FIATEAX3/a/wR+jj4W/a+9cv0avQr9Iv0a/Sv8y/yV/AT70btx+vK6UDoKel86kbsue047yvxJPMr9c31wPZ79/n3d/ms+jD8+v3p/6wCIQY9CO4J1QrcCh4MEAxuDOQMjA1tDoIPzRCxEd0SVhNSE44TEBOZETkQKg7aDKkL0grBCR0JhQkzCSgJeQjtB6gHtgb6BOICsQD1/o78oPoJ+fL3+PZn9WX1r/Q59SH1GPWg9cj0ZfNQ8fDvO+9M7k7tou1z7s/v6e8a8SXzbPWF91b4YPlI+sT6A/s++3388P2r/y0CuAMNBrMHhQngChQMHw1hDSIOUA6HDjEP/w/aENQR9BGPEn0SQBLoEZgQ9Q/oDjwNRAtMCS0ItQdIB98GaAYtBuMFrQQbA74Azv45/UX7Ivlt9hT0vPJE8iLybPLU8nnzjvSF9MLzkPJY8bTxtPEp8Wfwm/AA8tbzNfUa9q/3pfj/+aT6nvu3/ED9z/6u/5sBhwMEBYEHRgmjClwLawuGC4gMaw2pDYUO3g7VD6oQJxG/EQQSLhK6EacQKw+rDdsLowo7CSIITQexBogGPQYKBi8FbwRAA5YB0v8W/dP6+vhg93/2xPRm857yvPKY89bzzvPk8/PzpvM/81fyu/IM83nzW/SI9MX1zvbe95H5qvpp+/n7mPyy/U7+MP9vAOMBuQNDBccGoQjVCqcLJgyQDJoMBQ2HDJcMJQ2vDe0OKw/xDzgQEBAzEKEP7w5NDUgLWwmDB+8FigSFA+ECMwIuAg0CagL4AfsAlv+5/QD84fkb+A/2DvR38rPxYfFC8fbwGPIp9Ej2DPdQ9lP2IPbR9kv2h/VV9fL1//ba9wr5Ovo7/Hr9Cv9AAOwALAEtAf0BNANfBEgFKwaoB7IJfgvFDIgNHg5ODu4NYw2aDCYMvAzmDFENWg1RDY8NmQ1qDS4MyQoOCT4HVAULA8kAaf8M/2j/gP9F/0P/+P6v/tb9PPxc+pT4x/Y39e3zL/JL8Wvx4vIn9LX1c/ak95n45PgN+Zb4yvjw99j48vhr+gn7tvuz/e3+egCtAK0APgFEAtwCUAOkA0YEOwVpBpsHGAlkCv0KBgv0CqkK/wmjCOQIuAlnCsUK7AlfCtMKugryCccI4geCBioEEALNAD8AtP+x/5L/Sv/2/mn9Ff1y/MT7Yvqp+Er3qvW59KzzAfR19Bf13vXg9eP2gvfr94L4y/h8+TH6wfpB+4/86f3Z//8A+QEdAw0E/QSiBZAGtgcFCeMJkQrzC1ENpg63DwEQtRD7D+MOZA0tDHgLNwpnCZEIhQiMCLQHVQfGBu0GWwbfBOwCLQF7/5X9yvuP+ln66vkW+v75Gftp+777PvvE+k36C/mE9y32wPXC9Yr1LvXQ9QL37fhN+ij8K/60/wMA0f9g/ywA9/9TAPf/yACoAUcB0AEZAaQCpwLUAnkCoQGfAVMAJgBKAO0AUwHMALwA4wB/AdYAvgDCADoBigEZAQEBLgHgAUcCbQPhA1IEQQQqBHAEUQSXA2gDMQMdA3cCKgFoAPz/kf8p/7z+kP6H/l3+8P72/o3/2v9lAGcBrgHdAQUCcwL7AloDUgMtBMwEkwVRBl8GGwdcB7IH1AeyBy4HZgZ0BawE5AM7A/ECxQKdAlIC+AGlAUUBqwD6/zz/hf59/a/8kvsk+/n6Ivvh+yf8nfw6/W/9DP7//Vb+X/7B/s7+0f5i/8X/TAERAiIDTQTeBNkFGQYGBiMGPgUxBQwEoQNcAnwBoAD6/w4Aiv8S/7b9v/x/+zj7sPmB+cD4/fj/+J34sfiR+Cn5M/mB+cb5l/oV+037XvtU/B792f7G/0sBDgOoBG4G7geKCfoKLgy4DHUNlw26DYsNVQ2DDYkNJQ26DPcL2AsJC5cKLQkmCPIGkAUjBDcC7ABr/4H+9vwD/CT7yfpr+g76hvmH+d34pPhM+Ob3t/dV92T33Pec+P341vmV+v/7H/3z/XL+TP+p/3MAswDlAG0BzAF0AgcD3gM/BDoFbgURBkAGCwa4BdQEVwSRA+AC5AE/ARkA6v/f/hT+D/1j+1L6R/gN90r1yfQl9B/0I/RF9IP0kPTY9Hr1Qvaw9jv3M/cJ+LT4pvnP+jj89P0OALQBcQOqBPEFCQcYCKsI5wgDCdIIEAnsCCIJMQlpCbgJ9AmlCVwJlQhGCHUHlAZWBRAEMQM+AoYBjgADAKT/iP8w/8r+L/4J/o/9Wf26/FL8vvtn+xX7Evtc+1H7yfvc+3v8ofzr/Pn8Of0z/U39O/1L/YT9pP3t/Wn+9v5v/xcAjwBIAaABTQKIAvwCKwNnA4kDywMYBFMEzAQBBV0FcAWZBZsFcgU7BecEfAT9A38D3QJYAswBCgFlAEH/H/7j/H/7ffow+UP4gvfx9rj2T/Yn9vD1+fUQ9vL1EvYI9iH2pfYq9yr4G/kx+nr7LP3u/o8ARAKkAwYFBQYOB7wHjgj9CIAJ+wlzCv8KGAttC5sL/QviC6wL8gohClAJMgg9BwwGAgWsA4UCngGjANX/6f4h/ln9ifyD+536vvn9+GH4uveE9z33B/ck93n3C/if+En53fmU+iv7wvts/Br90/1J/ir/2P+9AFMB+gHVApsDXASaBBcFVAXhBeQFzgXpBesF+gXSBagFdwV5BQ8FxARDBMMDGAM6AmMBWQB9/1v+d/2G/IL7gfo3+Rv4Q/cc9gT1OfQA9AH0xPNX8zfz4/NQ9Nr0DfXb9aD2RfcU+O74Kvof+3n8yP2b/xIBQwKcAw0FegaCB1IIOQnbCVYKaQqLCr4KuAqRCjQKPQq8CU0JeAj0B0wHZQZ7BVIEXwMjAgwBAQBK/2z+lv3x/G78FPym+0v7PvtB+x775/q++s368/oK+yb7W/uo+9j7Ifxq/NH8Pf2h/SL+ff7e/gD/TP+c/+D/+/8KACIAZgCQAKAA0QAMAXQBtwEQAj4ChAK5AtYC/wIOAyQDLQNHA0QDWgNeA20DdgN5A2cDOAMKA7ICbgLsAYAB8wBcAK//4f4i/ln9pPy6++T6avrx+Yr5Efm8+Kj4tfjI+Oj4IvlV+YL5tPkL+nz69/p2+y787fzS/av+r/+6ANkB4AK+A4IEKwW+BSYGeQa0BuAG0gazBocGcAZRBi4G3wWoBUwF2gRZBOYDWwO6AhoCcgHtAEkAx/9c/yH/7P6r/nb+Yf5b/k7+N/4x/hv+Cf7l/dP92P3m/fL97/0T/if+Y/6C/rT+zv7x/gf//f7w/sX+vP6U/n/+U/4s/g7+Bf79/Q7+Lf5E/mH+bf6J/qn+yv7f/vz+Iv9Q/23/lP/B//r/NABwAJ0AyQDgAPkABwEbARYBDAHvAM8AvwCTAHUASAA0ABUAEQDv/97/1v/d/+P/8//2//v/DgAaADQAOwBoAH4AugDZABYBVwGEAdEBDgJcAo8CwgLeAgQDJQMjAygDIAMMA/ICzwKjAnYCOALyAb8BegExAeEAkgBFAAUAvf98/0r/E//5/tz+y/7D/sz+1/7p/v3+Hv9P/3n/qP/b/xgAWACeANgAEQFAAWwBhAGaAacBpgGhAYoBbgFLAS0BBAHcALIAhwBTAB4A6v+6/4r/T/8h/+v+u/6M/lv+Qv4w/if+Gv4O/hT+Ff4Y/if+Ov5S/mj+ef6P/q7+zv7r/hL/Qv9u/5T/v//j/xoAPgBjAHsAmQCuALcAwADAAMwAxADFAK4AvACsAKIAkgB9AH8AdQBnAF4AWABMAEcAPABBAEUATQBDAFAAUABsAHoAkgCnAMwA7wAKASsBPQFjAXQBhwGMAaABmgGaAYYBgQF7AW8BZwFQAUYBOgE0ASYBHAELAQQB9wDpANUAxwC5ALMAqwCpAKcAogClALAAwgDAAMIAvwDJAMIAuwCpAJIAhABrAGEASAAwABwACgACAPT/5P/T/8P/tv+i/4n/bP9c/0f/MP8g/wn/+/71/vD+8/71/vL++f4D/wX/Cv8U/x3/Mv9B/1H/ZP98/5n/uf/f//7/JwBEAGIAfQCUAKoAtwDOANgA3gDkAOEA2gDWAMgAwgDBAKwAowCRAI8AfQB9AG8AWABbAEMASABDAE0AQwBCAEcARwBYAFwAYgBxAIUAiwCVAKAAqgC6ANMA1ADkAOMA3wDkAOkA7gDmAOgA1wDeANYAzQDBALUAtQCrAJ0AhQB+AGkAZABaAEsAQwA9ADkANgBCAEMARABEAEcASABOAEwASwBMAFAASgBFAD0ANwAxAC0AKAAaABkAEAAOAAYAAgD4//X/8v/t/+b/7P/e/9z/1v/D/77/sf+x/7H/sv+o/7P/sv+9/9H/4v/x////EAAYACcAOABHAFUAZgB3AIcAnACuAMgA5gD0AAEBAwEPAQgB8gDoAM8AtACWAHYAWABEAC0AFgD7/+r/4P/S/8b/sv+q/5X/if+J/4D/gP96/3r/f/+H/4z/of+z/8X/5P/8/wwAIwBCAF4AiACdALYA0ADpAP8AFAEwAT0BSgFOAVQBUgFVAVIBRwE5ASIBBQHtANAAtQCNAGMAQQAXAPD/xv+j/4H/aP9L/zT/JP8d/wv/Bf8H/wP/BP/7/gX/A/8Z/yP/MP9G/1v/df+m/7L/0//1/wsAJwA4ADgALAA7ADkANAAmACEAIwAmAC4AMgBBAEIAQgBHADcAMQAxAB8ACgD5/93/v/+8/7f/x//Q/9D/1//V/+b/8P/0//D/6P/q/+L/2v/l/+f/5P/6/w0AFwAhAC8AQQBNAF8AWwBMAEYARgBCADoAMwArAB4AGAAgABQADAAHAA8AEQAfAB4AFgAhAC0AQABLAFIAVQBjAHEAfQCHAIcAjACaAKoArwC7AL8AwgDIANEA0QDHAL8AswCqAJ0AiQBrAF8ARQA0AB4ACQD+/+r/3v/V/9b/yP+4/7b/q/+h/5T/iP+P/47/j/+M/5P/ov+x/7j/0f/m//f/FQATACsASABZAGAAaQB7AHgAgACBAIQAjQCHAIoAjgCPAJYAiwCEAHIAbgBTADkANwAhABEA/P/v/9n/1//R/8b/z//F/8T/yP/G/8X/w//O/9z/6v/y//b/BQAdACsAPgBVAGoAgACKAJkAoQCqALgAwADLANEA1QDOAM8AywDMAMEAtACxAKEAlQCIAHYAYgBaAEsANAAfAAgA8//r/+D/2//N/8v/0//Q/9n/3v/1/wUAGQAeACUALwA4ADwAPQBLAEsAVgBhAGEAZgBvAGcAdgB3AG8AbQBlAGgAbwBpAGMAWwBSAEoAPAAwABYACAD6/+T/0v+//6n/rv+2/8n/2P/n//L/9//+/wUA+f/u/+3/7P/5/wAADgAUACQAPwBGAFkAaABrAHgAeQB8AG4AaABkAF0AXABWAGQAbwCAAJQAmgCfAKMAmwCTAJMAiAB2AGYAWQBOAEsAUABXAF4AZQBjAGIAVgBRAFAASQBFADoAJgAgABgAFgAcACUAJgAmACMAFAAYABcAHwAiACwALgAwADsASwBZAG4AewCDAIsAigCNAIgAhwCKAIwAjACLAIQAhACGAIkAhgB7AHIAYQBJADkAJgAfABgADgALAA8ACAAJAAoAAwAKAP7/8P/h/9X/z//H/8n/0v/Y/+f/9f///woAEAAeACwANAA9AEEAPwBCAEoATwBTAFwAYgBlAF4AVwBOAEYARABMAE8ATwBOAE8ASwBHAE4AQQBBAEQAPAA4ADEALgAtACsAIwAsADAAMwA5AEAATQBXAGgAcQB7AH8AfgB2AHwAfgB8AH4AfACAAHgAeQB3AH8AgQCIAI4AjACFAIYAjQCPAJgAlACWAJkAlgCPAIcAhACEAIwAkQCTAJIAkwCRAJsAoQCkAKwAqwCyAK4ApwCiAJwAkwCPAI0AfgB4AHgAdAB7AIMAhgCIAIgAiACJAIwAiACDAH8AfwB3AG8AbgBqAHQAdABwAG0AZwBsAGgAawBoAGAAVwBMAEMAOAAxACoAHwAZABUACwACAAEA/P8CAAMAAgAKAA4AFgAjACoANgA4ADkAMQAmAB8AGQAdABgAGwAiADAAOABPAFsAZQBzAHYAfgB5AHIAbQBiAFUAVABQAEgASABHAD8AOgAzACcAGgADAPb/4f/O/7v/rf+g/6f/rP+z/7v/xP/M/9n/6v/1/wkAEQAYACQAIwAoADgAOwBDAFMAYwBrAHYAdwB1AHcAcwBnAFoASAA3ACIACwDz/+D/z/+9/7P/qv+k/5f/lP+L/4b/i/+H/4r/kP+I/4H/df9p/2L/WP9Q/1H/Wv9k/3T/gv+Q/6P/rv+6/7r/t/+z/6z/qf+p/6r/uP/I/9j/5v/1/wcADAAcACoAKwAjABAA+f/k/8//u/+y/67/q/+x/7n/s/+7/8P/t/+s/5r/fv9p/1f/SP9E/zr/Pf9I/1r/dv+I/6H/sP++/8X/v/+7/77/yf/Q/9z/5v/2/wgAGAAxAEIATwBSAE8ARAA0ACAABADv/+L/1v/R/9P/1f/V/9r/3P/Z/93/zv/F/7n/pf+T/4T/gf96/33/hv+I/5L/m/+k/6v/t/+2/7T/rP+o/6T/mv+X/5T/lv+U/5v/nv+n/6n/r/+0/7X/r/+i/5b/jv+Q/4r/i/+V/6D/ov+o/7L/v//P/9z/6f/6//v/AAAGAAgAEQAfACgAMQA4ADcANAAzADUAMgAoABgACQD2//L/6//q/+b/4//g/9r/0v/O/8z/zf/S/9H/zP++/77/vv/P/97/9/8TACcAPQBUAGgAdAB+AIEAgAB3AGcA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fP98/4T/fv93/37/hf+J/4r/iv+M/4//kP+N/4v/iP+A/4T/k/+l/7P/wf/C/77/xv/K/8v/0v/X/9j/1//S/9H/1v/V/87/zf/P/87/y//H/8X/w//A/8D/wv+7/7b/uv+7/7b/sf+v/7D/tv+7/7f/tP+z/7D/rf+r/63/sP+y/7L/tv+5/8H/xv/H/8z/0P/S/9L/0f/S/9T/1P/R/9L/0//W/9z/3//h/+X/6//t/+z/7f/u/+7/7//0//j//P8CAAcACAAOABIAFgAaACMAKgAxADEAMQAxAC8AKAAmACUAHwASAA8ADQANAAgAAgD7//f/8f/w/+7/7//z//L/8P/w//H/8f/y//H/8//y/+//7v/t/+n/5//m/+P/3//g/+T/ description: |+ Input audio wav file in base64 format. From c5d185733824506d27cddd67296a6f2bd993e116 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 12 Jan 2022 17:50:31 +0530 Subject: [PATCH 3446/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index aff1cd51d..29fcd245d 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - As a post-processor for microservices that only outputs Base64 encoded text - version: '0.0.1' + version: '0.1.0' x-subscribelink: base64_decoder x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.0.1" - description: "Published Date - Oct 30, 2020" +- name: "v0.1.0" + description: "Published Date - Nov 29, 2021" paths: /microservices/utility/base64decode/v0/getresults: post: tags: - - "0.0.1" + - "0.1.0" responses: '200': description: success response @@ -205,6 +205,14 @@ components: versions: type: object properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 29, 2021 + x-details: On Prem Setup Added + description: Latest Version v0.0.1: type: array items: @@ -212,7 +220,7 @@ components: - type: string example: Published Date - Oct 30,2020 x-details: Initial version release - description: Latest Version + description: Archived input: type: object required: From 53edcf8d00b32584d5341b89cdafcc80e81d9ea7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 12 Jan 2022 17:55:21 +0530 Subject: [PATCH 3447/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index a8e73a8f8..b55c3660f 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - As a pre-processor for microservices that only takes in Base64 inputs - version: '0.0.1' + version: '0.1.0' x-subscribelink: base64_encoder x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.0.1" +- name: "v0.1.0" description: "Published Date - Oct 30, 2020" paths: /microservices/utility/base64encode/v0/getresults: post: tags: - - v0.0.1 + - v0.1.0 responses: '200': description: success response @@ -234,14 +234,22 @@ components: versions: type: object properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 29, 2021 + x-details: On Prem Setup Added + description: Latest Version v0.0.1: type: array items: oneOf: - type: string - example: Published Date - Oct 30, 2020 - x-details: Initial version release - description: Latest Version + example: Published Date - Oct 30,2020 + x-details: Initial version release + description: Archived securitySchemes: APIAuthorizer: type: apiKey From bebd1b2c47403d5bbf7291299b56a8464afd0528 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 08:34:51 +0530 Subject: [PATCH 3448/5916] Delete base64-decoder.yaml --- utility/base64-decoder.yaml | 232 ------------------------------------ 1 file changed, 232 deletions(-) delete mode 100644 utility/base64-decoder.yaml diff --git a/utility/base64-decoder.yaml b/utility/base64-decoder.yaml deleted file mode 100644 index 9e4ba0958..000000000 --- a/utility/base64-decoder.yaml +++ /dev/null @@ -1,232 +0,0 @@ -openapi: 3.0.1 -info: - title: Base64 Decoder - description: |+ - This Utility microservice converts a Base64 encoded text string to a binary file.

For the reverse process (convert binary file to Base64 encoded text string), check out the Base64 File Encode microservice. - x-additionalinfo: |+ - Suggested Use Cases: - - As a post-processor for microservices that only outputs Base64 encoded text - version: '0.0.1' - x-subscribelink: base64_decoder - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.0.1" - description: "Published Date - Oct 30, 2020" -paths: - /microservices/utility/base64decode/v0/getresults: - post: - tags: - - "0.0.1" - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - url: https://storage.googleapis.com/base64decode_dev/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fa... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the api status - status: - type: string - example: Success - description: The status of the API call success/failure - url: - type: string - example: https://storage.googleapis.com/base64decode/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fauto%2Fstora... - description: Pre-signed URL to download the file - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v0.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30,2020 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - base64 - properties: - base64: - x-name: base64 - type: string - default: true - example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAA... - description: |+ - Input base64 encoded string - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 2d246d431248ee35114af14a7880e126a8392f1b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 08:34:56 +0530 Subject: [PATCH 3449/5916] Delete base64-encoder.yaml --- utility/base64-encoder.yaml | 249 ------------------------------------ 1 file changed, 249 deletions(-) delete mode 100644 utility/base64-encoder.yaml diff --git a/utility/base64-encoder.yaml b/utility/base64-encoder.yaml deleted file mode 100644 index 524a18145..000000000 --- a/utility/base64-encoder.yaml +++ /dev/null @@ -1,249 +0,0 @@ -openapi: 3.0.1 -info: - title: Base64 Encoder - description: |+ - This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive and font files. See documentation for the detailed list of supported file formats.

User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML).

For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decode microservice. - x-additionalinfo: |+ - Suggested Use Cases: - - As a pre-processor for microservices that only takes in Base64 inputs - version: '0.0.1' - x-subscribelink: base64_encoder - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Payload size cannot exceed 10 MB. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.0.1" - description: "Published Date - Oct 30, 2020" -paths: - /microservices/utility/base64encode/v0/getresults: - post: - tags: - - v0.0.1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - base64: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - description: Input parameters

FieldType Description
filePathFileRequired. The file object
typeStringOptional. type of return data as xml/hyperlink/json/datauri/plaintext. plaintext is default if none selected


- content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - # required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - base64: - type: string - description: Converted base64 encoded text in the requested output format - example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - example: sample.txt - default: true - description: The file object. - format: - type: string - example: "xml" - default: false - description: |+ - The output format. Possible values are: - 1. plaintext (default) - 2. json - 3. hyperlink - 4. datauri - 5. xml - versions: - type: object - properties: - v0.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 3089b4f4f3bb8b9e60ab38b8bee147c7c1109897 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 08:38:41 +0530 Subject: [PATCH 3450/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 387f8017f..3baf9936d 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '1.0.0' + version: '0.1.0' x-subscribelink: csv-json_convertor x-apitype: small file x-apitypedescription: |+ @@ -26,13 +26,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.0.0" +- name: "v0.1.0" description: "Published Date - May 15, 2020" paths: /microservices/utility/csvtojson/v1.0/getresults: post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -209,7 +209,15 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 29, 2021 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: type: array items: oneOf: From 03e4e80ed9ba065a1dfc3b73190b67b44fd0ad65 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 08:38:43 +0530 Subject: [PATCH 3451/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index d0db31c09..e6b041409 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of JSON into CSV spreadsheets like Google Sheets or Excel to analyze data without programming. - version: '1.0.0' + version: '0.1.0' x-subscribelink: json-csv_convertor x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.0.0" +- name: "v0.1.0" description: "Published Date - May 15, 2020" paths: /microservices/utility/jsontocsv/v1.0/getresults: post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -230,7 +230,15 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 29, 2021 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: type: array items: oneOf: From db7a3d46683aea9e36beedbb46f7369cf1b9ea1c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 08:39:12 +0530 Subject: [PATCH 3452/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 3fb60a10e..a8db35156 100644 --- a/index.yaml +++ b/index.yaml @@ -241,11 +241,11 @@ utility: json-csv_convertor: title: JSON-CSV Convertor versions: - 1.0.0: 'json-csv_convertor.yaml' + 0.1.0: 'json-csv_convertor.yaml' csv-json_convertor: title: CSV-JSON Convertor versions: - 1.0.0: 'csv-json_convertor.yaml' + 0.1.0: 'csv-json_convertor.yaml' audio_processing_utility: title: Audio Format Convertor versions: From 77fe5fef6c04498a5cac708cab1cd0f7f4f59d36 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 09:01:42 +0530 Subject: [PATCH 3453/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 3baf9936d..15a66e23a 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 15, 2020" + description: "Published Date - Jan 17, 2021" paths: /microservices/utility/csvtojson/v1.0/getresults: post: @@ -214,7 +214,7 @@ components: items: oneOf: - type: string - example: Published Date - Nov 29, 2021 + example: Published Date - Jan 17, 2021 x-details: On Prem Setup Added description: Latest Version v0.0.1: @@ -224,7 +224,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Latest Version + description: Archived invalidinput: type: object properties: From 2622cf5e9e126586ea70a0aa6f87f7be3a8d2d1c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 09:01:51 +0530 Subject: [PATCH 3454/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index e6b041409..b3c871e1e 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 15, 2020" + description: "Published Date - Jan 17, 2021" paths: /microservices/utility/jsontocsv/v1.0/getresults: post: @@ -235,7 +235,7 @@ components: items: oneOf: - type: string - example: Published Date - Nov 29, 2021 + example: Published Date - Jan 17, 2021 x-details: On Prem Setup Added description: Latest Version v0.0.1: @@ -245,7 +245,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Latest Version + description: Archived securitySchemes: APIAuthorizer: type: apiKey From 714b6edbac9a8d5cb2452215d7b100ab7d477bc8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 09:02:24 +0530 Subject: [PATCH 3455/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index b55c3660f..eaa721a28 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Oct 30, 2020" + description: "Published Date - Jan 17, 2021" paths: /microservices/utility/base64encode/v0/getresults: post: @@ -239,7 +239,7 @@ components: items: oneOf: - type: string - example: Published Date - Nov 29, 2021 + example: Published Date - Jan 17, 2021 x-details: On Prem Setup Added description: Latest Version v0.0.1: From dace158c147dc3a696d4ac604d5da17d0ae0fa87 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 09:02:37 +0530 Subject: [PATCH 3456/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index 29fcd245d..0a914d894 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Nov 29, 2021" + description: "Published Date - Jan 17, 2021" paths: /microservices/utility/base64decode/v0/getresults: post: @@ -210,7 +210,7 @@ components: items: oneOf: - type: string - example: Published Date - Nov 29, 2021 + example: Published Date - Jan 17, 2021 x-details: On Prem Setup Added description: Latest Version v0.0.1: From 0279e745b6f078e9a2aeba3f9be764bdefa9c2c1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 09:18:11 +0530 Subject: [PATCH 3457/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index 0a914d894..b25feed91 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jan 17, 2021" + description: "Published Date - Jan 17, 2022" paths: /microservices/utility/base64decode/v0/getresults: post: @@ -210,7 +210,7 @@ components: items: oneOf: - type: string - example: Published Date - Jan 17, 2021 + example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added description: Latest Version v0.0.1: From 33a03079d96c52c2613beba22602ddfa984cdefa Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 09:18:23 +0530 Subject: [PATCH 3458/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index eaa721a28..5bdaea579 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jan 17, 2021" + description: "Published Date - Jan 17, 2022" paths: /microservices/utility/base64encode/v0/getresults: post: @@ -239,7 +239,7 @@ components: items: oneOf: - type: string - example: Published Date - Jan 17, 2021 + example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added description: Latest Version v0.0.1: From c805f062ea54acf499006527b076b2a9e8c7b3c4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 09:18:36 +0530 Subject: [PATCH 3459/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index b3c871e1e..38caf3336 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jan 17, 2021" + description: "Published Date - Jan 17, 2022" paths: /microservices/utility/jsontocsv/v1.0/getresults: post: @@ -235,7 +235,7 @@ components: items: oneOf: - type: string - example: Published Date - Jan 17, 2021 + example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added description: Latest Version v0.0.1: From 651ff5b9a3691967d5c5cfcb99a1f8bc5445a2d5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 17 Jan 2022 09:18:49 +0530 Subject: [PATCH 3460/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 15a66e23a..0eda5ac66 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jan 17, 2021" + description: "Published Date - Jan 17, 2022" paths: /microservices/utility/csvtojson/v1.0/getresults: post: @@ -214,7 +214,7 @@ components: items: oneOf: - type: string - example: Published Date - Jan 17, 2021 + example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added description: Latest Version v0.0.1: From 9d7d00f7a40410a8a57533f4ea3647e355ca31d3 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 17 Jan 2022 17:20:35 +1100 Subject: [PATCH 3461/5916] Update taxonomy_matcher_eng.yaml --- nlp/taxonomy_matcher_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/taxonomy_matcher_eng.yaml b/nlp/taxonomy_matcher_eng.yaml index 2358eeed0..3e13602f0 100644 --- a/nlp/taxonomy_matcher_eng.yaml +++ b/nlp/taxonomy_matcher_eng.yaml @@ -266,7 +266,7 @@ components: Supported formats: ASCII only threshold: x-name: threshold - type: integer + type: number default: true example: 1 description: |+ From 4acf2c9e7ef4ca0669158e7dcd1c6e3ecda5e95a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 15:57:21 +0530 Subject: [PATCH 3462/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index e7bbafc6e..323bece7c 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -138,7 +138,7 @@ components: example: 1 description: Running sequence number starts from 1. start: - type: integer + type: number example: 0.64 description: Start time of utterance text: From c0e62a9c49261aebab36ff6204afd3bf7420458f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 15:58:41 +0530 Subject: [PATCH 3463/5916] Update script_alignment_v0.1.yaml --- nlp/script_alignment_v0.1.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/script_alignment_v0.1.yaml b/nlp/script_alignment_v0.1.yaml index c7cae1b1c..bfdaeb243 100644 --- a/nlp/script_alignment_v0.1.yaml +++ b/nlp/script_alignment_v0.1.yaml @@ -123,7 +123,7 @@ components: example: 4 description: End time of word, in seconds. Offset from the start of stream. seqNum: - type: integer + type: number example: 1 description: Running sequence. Start from 1. start: @@ -262,14 +262,14 @@ components: properties: seqNum: x-name: seqNum - type: integer + type: number default: true example: 1 description: |+ Running sequence. Start from 1. start: x-name: start - type: integer + type: number format: float default: true example: 1.0 @@ -277,7 +277,7 @@ components: Start time of utterance, in seconds. Offset from the start of stream. end: x-name: end - type: integer + type: number format: float default: true example: 4.0 From cd021caa4f036ac6425c3f0d9803ddbd587b82db Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:00:17 +0530 Subject: [PATCH 3464/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index 262cd6586..3240cf340 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -248,17 +248,17 @@ components: example: "1,3,6" description: Page numbers, example 1,3,6. Default all pages maxPages: - type: integer + type: number default: false example: "3" description: Maximum of page number. Default all pages startPage: - type: integer + type: number default: false example: "1" description: Starting page number, if used endPage parameter is mandatory endPage: - type: integer + type: number default: false example: "5" description: End of page number, if used startPage parameter is mandatory From f0d82e551775425e273a5dd9d4386e0b536230a9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:01:32 +0530 Subject: [PATCH 3465/5916] Update urls_retrieval.yaml --- utility/urls_retrieval.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/urls_retrieval.yaml b/utility/urls_retrieval.yaml index ba5ec2e70..af62e75fa 100644 --- a/utility/urls_retrieval.yaml +++ b/utility/urls_retrieval.yaml @@ -269,12 +269,12 @@ components: example: https://www.sentient.io/ja/ description: url depth: - type: integer + type: number example: "2" default: false description: Default is 0. numberofurls: - type: integer + type: number example: "10" default: false description: Default value is 100. From adb9af7d8f31e296b0c575921ee987d7694e7a2c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:02:07 +0530 Subject: [PATCH 3466/5916] Update wikipedia_retrieval_v0.1.yaml --- utility/wikipedia_retrieval_v0.1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/wikipedia_retrieval_v0.1.yaml b/utility/wikipedia_retrieval_v0.1.yaml index 91c5c8ba9..8fb5262f4 100644 --- a/utility/wikipedia_retrieval_v0.1.yaml +++ b/utility/wikipedia_retrieval_v0.1.yaml @@ -182,7 +182,7 @@ components: format: list example: 1915 Singapore Mutiny pageid: - type: integer + type: number example: 27318 description: The id of the page requested summary: @@ -311,7 +311,7 @@ components: default: true description: The search term, highest match to the title of the Wikipedia page. pageid: - type: integer + type: number default: true example: 27318 description: The Wikipedia id of the page requested. From 7a855706e9d7980f019ca8100af3e9d435452bd7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:43:57 +0530 Subject: [PATCH 3467/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 8c87e94f6..05c64a47b 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -121,7 +121,7 @@ components: sampling_rate: description: Sample rate of the output audio. Should come only for female_generic example: 16000 - type: integer + type: number wav_base64: description: Base64 string of the generated audio from input text example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ From c6a4ce36d2782215d417b34deeaa998f974d58e2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:44:46 +0530 Subject: [PATCH 3468/5916] Update text_to_speech_jp.yaml --- voice/text_to_speech_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index 64d1850b2..0abb21944 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -122,7 +122,7 @@ components: sampling_rate: description: Sample rate of the output audio example: 22050 - type: integer + type: number wav_base64: description: Base64 string of the generated audio from input text example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ From 3bc283809e76fb3c3c7577caf07afa9511e34d89 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:46:08 +0530 Subject: [PATCH 3469/5916] Update voice_activity_detection_eng.yaml --- voice/voice_activity_detection_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/voice_activity_detection_eng.yaml b/voice/voice_activity_detection_eng.yaml index 3e75eaee8..03259d400 100644 --- a/voice/voice_activity_detection_eng.yaml +++ b/voice/voice_activity_detection_eng.yaml @@ -131,16 +131,16 @@ components: - type: object properties: end: - type: float + type: number format: float example: 23.72 description: End time of utterance, in seconds. Offset from the start of stream. seqNum: - type: integer + type: number example: 1 description: Running sequence. Starts from 1. start: - type: float + type: number format: float example: 0.64 description: Start time of utterance, in seconds. Offset from the start of stream. From 45df3ba13e76db2129197539ce3e8e94f06d817e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:47:32 +0530 Subject: [PATCH 3470/5916] Update script_alignment.yaml --- nlp/script_alignment.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index 8b1f2c322..ebfb49076 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -133,7 +133,7 @@ components: example: 4 description: End time of word, in seconds. Offset from the start of stream. seqNum: - type: integer + type: number example: 1 description: Running sequence. Start from 1. start: @@ -280,14 +280,14 @@ components: properties: seqNum: x-name: seqNum - type: integer + type: number default: true example: 1 description: |+ Running sequence. Start from 1. start: x-name: start - type: integer + type: number format: float default: true example: 1.0 @@ -295,7 +295,7 @@ components: Start time of utterance, in seconds. Offset from the start of stream. end: x-name: end - type: integer + type: number format: float default: true example: 4.0 From 07ed67cbf33a8406fb608ce150de68dddfcb7fa2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:48:46 +0530 Subject: [PATCH 3471/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index ec27f3bac..0b952cb44 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -113,7 +113,7 @@ description: Json Object of returned results properties: score: - type: integer + type: number example: 2.2100781633414535 description: Confidence score text: From 8d7d2919bc83131a84ee51d5a694d5c30cafc0ad Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:49:14 +0530 Subject: [PATCH 3472/5916] Update word_sense_disambiguation_eng.yaml --- nlp/word_sense_disambiguation_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/word_sense_disambiguation_eng.yaml b/nlp/word_sense_disambiguation_eng.yaml index 9b036ae6c..d090504a0 100644 --- a/nlp/word_sense_disambiguation_eng.yaml +++ b/nlp/word_sense_disambiguation_eng.yaml @@ -177,7 +177,7 @@ components: example: social_group.n.01 description: Describes the category in which the target word belongs to. Eg:car is a transport. car is the target word and transport is the category(hypernym) potential_candidate_score: - type: integer + type: number example: 1 description: Is the confidence score from the network synset_definition: @@ -194,7 +194,7 @@ components: example: 0.9870249032974243 description: Is the confidence score from the network token_index: - type: integer + type: number example: 40 description: Is the target word position in the sentence message: From 8f6500fb800a1065003c745b9a0f369e4a0f805b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:50:23 +0530 Subject: [PATCH 3473/5916] Update word_sense_disambiguation_eng_v0.1.yaml --- nlp/word_sense_disambiguation_eng_v0.1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/word_sense_disambiguation_eng_v0.1.yaml b/nlp/word_sense_disambiguation_eng_v0.1.yaml index 0d2b5bc5a..5c793dd6a 100644 --- a/nlp/word_sense_disambiguation_eng_v0.1.yaml +++ b/nlp/word_sense_disambiguation_eng_v0.1.yaml @@ -168,7 +168,7 @@ components: example: social_group.n.01 description: Describes the category in which the target word belongs to. Eg:car is a transport. car is the target word and transport is the category(hypernym) potential_candidate_score: - type: integer + type: number example: 1 description: Is the confidence score from the network synset_definition: @@ -184,7 +184,7 @@ components: example: 0.9870249032974243 description: Is the confidence score from the network token_index: - type: integer + type: number example: 40 description: Is the target word position in the sentence unauthorized: From ba8d272cffe48cb00b6fef7c63900aa0ce54a577 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:51:14 +0530 Subject: [PATCH 3474/5916] Update object_detection.yaml --- computer_vision/object_detection.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/computer_vision/object_detection.yaml b/computer_vision/object_detection.yaml index 37288a54e..821eacb81 100644 --- a/computer_vision/object_detection.yaml +++ b/computer_vision/object_detection.yaml @@ -134,19 +134,19 @@ components: description: Bounding box of the image properties: bottom: - type: integer + type: number example: 742 description: Bottom coordinate of the box left: - type: integer + type: number example: 19 description: Left coordinate of the box right: - type: integer + type: number example: 1019 description: Right coordinate of the box top: - type: integer + type: number example: 73 description: Top coordinate of the box class: @@ -154,11 +154,11 @@ components: example: person description: Detected object confidence: - type: integer + type: number example: 1 description: Confidence of the detected object. Higher confidence, more accurate the detected object. object id: - type: integer + type: number example: 0 description: Detected object id message: From 9dc407d9ba59618b8f3e653f3dbce3bb651f412d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:52:52 +0530 Subject: [PATCH 3475/5916] Update object_detection_v0.1.yaml --- computer_vision/object_detection_v0.1.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/computer_vision/object_detection_v0.1.yaml b/computer_vision/object_detection_v0.1.yaml index b71fa73e8..09a922cc5 100644 --- a/computer_vision/object_detection_v0.1.yaml +++ b/computer_vision/object_detection_v0.1.yaml @@ -133,19 +133,19 @@ components: description: Bounding box of the image properties: Bot: - type: integer + type: number example: 742 description: Bottom coordinate of the box Left: - type: integer + type: number example: 19 description: Left coordinate of the box Right: - type: integer + type: number example: 1019 description: Right coordinate of the box Top: - type: integer + type: number example: 73 description: Top coordinate of the box unauthorized: From 7b68de8a322692d6c1e6a237003c7a7b203aeab4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:53:54 +0530 Subject: [PATCH 3476/5916] Update people_counting.yaml --- computer_vision/people_counting.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting.yaml b/computer_vision/people_counting.yaml index 469ab6a70..f96d727bf 100644 --- a/computer_vision/people_counting.yaml +++ b/computer_vision/people_counting.yaml @@ -120,7 +120,7 @@ components: example: { "" } properties: counter: - type: integer + type: number example: 11 description: Number of people detected in video likelihood of overestimation: From 87279fa285450a4263f37fe75127d3ffbfb556e9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 17 Jan 2022 16:55:20 +0530 Subject: [PATCH 3477/5916] Update wikipedia.yaml --- utility/wikipedia.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/wikipedia.yaml b/utility/wikipedia.yaml index 8611a2301..888f0f8f9 100644 --- a/utility/wikipedia.yaml +++ b/utility/wikipedia.yaml @@ -188,7 +188,7 @@ components: format: list example: 1915 Singapore Mutiny pageid: - type: integer + type: number example: 27318 description: The id of the page requested summary: @@ -334,7 +334,7 @@ components: default: true description: The search term, highest match to the title of the Wikipedia page. Not Mandatory when pageid is given. pageid: - type: integer + type: number default: false example: 27318 description: The Wikipedia id of the page requested. Mandatory only when title is not given. From 51aefef069461800c2694476fda1f436419a4b9a Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 18 Jan 2022 18:25:16 +0800 Subject: [PATCH 3478/5916] Added consolidated landmark detection yaml --- computer_vision/landmark_recognition.yaml | 293 ++++++++++++++++++++++ index.yaml | 4 + 2 files changed, 297 insertions(+) create mode 100644 computer_vision/landmark_recognition.yaml diff --git a/computer_vision/landmark_recognition.yaml b/computer_vision/landmark_recognition.yaml new file mode 100644 index 000000000..be278b103 --- /dev/null +++ b/computer_vision/landmark_recognition.yaml @@ -0,0 +1,293 @@ +openapi: 3.0.1 +info: + title: Landmark Detection (SG or JP) + description: |+ + This Computer Vision microservice identifies Singapore and Japan landmarks from multiple input images based on location parameter.By default it location is Singapore. + + The microservice returns the detected landmark and confidence score. + + The size of your image file should **not exceed 5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used for geo-targeting apps with map feature or property development planning resource apps. + version: '1.0.1' + x-subscribelink: landmark_detection + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + x-apidetailsdesc: |+ + Identifies Singapore & Japan landmarks from multiple input images. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0.1" + description: "Published Date - Jan 28, 2022" +paths: + /microservices/cv/landmarkdetection/v1/getpredictions: + post: + tags: + - v1.0.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + confidence: 100% + landmark: Gion + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + + +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + confidence: + x-name: confidence + type: string + example: 100% + description: Confidence score of identification. Higher is more confidence. + landmark: + x-name: landmark + type: string + example: Gion + description: Name of the landmark + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 28, 2022 + x-details: |+ + Optional Parametr landmark_loc introduced. + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 05, 2021 + x-details: |+ + 1. Standardizing Output JSON + 2. Overall model accuracy improvements + 3. Better accuracy in detecting non-landmarks + 4. Fix bug in the confidence score computation + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + image_base64: + x-name: image_base64 + type: string + default: true + example: 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 + description: |+ + Input image file in base64 format. + + Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. + landmark_loc: + x-name: landmark_loc + type: string + default: false + example: sg + description: |+ + Location of Landmark passed as input.Values accepted are sg and jp. By default its sg. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/index.yaml b/index.yaml index a8db35156..4aa092cf9 100644 --- a/index.yaml +++ b/index.yaml @@ -184,6 +184,10 @@ computer vision: title: Person Reidentification versions: 0.1.0: 'person_reidentification.yaml' + landmark_detection: + title: Landmark Detection + versions: + 1.0.1: 'landmark_recognition.yaml' landmark_recognition_sg: title: Landmark Detection (SG) versions: From 264f56f07290615c63e0a97c712884706b777c2c Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 18 Jan 2022 19:07:31 +0800 Subject: [PATCH 3479/5916] Added consolidated vadasr yaml --- index.yaml | 2 +- ...asr_with_voice_activity_detection_eng.yaml | 41 +++++++++++-------- 2 files changed, 24 insertions(+), 19 deletions(-) diff --git a/index.yaml b/index.yaml index 4aa092cf9..131aa32d4 100644 --- a/index.yaml +++ b/index.yaml @@ -60,7 +60,7 @@ voice: asr_with_voice_activity_detection_eng: title: ASR with Voice Activity Detection ENG versions: - 1.2.1: 'asr_with_voice_activity_detection_eng.yaml' + 1.2.2: 'asr_with_voice_activity_detection_eng.yaml' 0.1.0: 'asr_with_voice_activity_detection_eng_v0.1.yaml' asr_with_voice_activity_detection_eng_large_file: title: ASR with Voice Activity Detection ENG (Large File) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 323bece7c..0d2656b20 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -2,10 +2,10 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. The input can be bypassed to asr without passing through vad by setting the optional paramater "vad" to false. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case The length of your audio should be **up to 60 seconds**. - version: '1.2.1' + version: '1.2.2' x-additionalinfo: |+ Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands like “turn the volume up". @@ -24,15 +24,15 @@ info: x-apidetailsdesc: |+ Combines Voice Activity Detection feature and Automatic Speech Recognition capabilities for Small Files. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.2.1" - description: "Published Date - Nov 09, 2021" +- name: "v1.2.2" + description: "Published Date - Jan 28, 2022" paths: - /microservices/voice/vadasr/v1/getpredictions: + /microservices/voice/vadasr/v2/getpredictions: post: tags: - - v1.2.1 + - v1.2.2 responses: '200': description: Ok @@ -256,31 +256,37 @@ components: x-name: wav_base64 type: string default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + example: 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 description: |+ Input audio wav file in base64 format. Mono channel, 8kHz / 16kHz sampling rate. - file_type: - x-name: file_type - type: string - default: true - example: wav + vad: + x-name: vad + type: boolean + default: false + example: false description: |+ - Input file extension. - - Currently supported formats: .wav + Boolean value true or false to decide whether vad required or not threshold: x-name: threshold type: number format: float - default: true + default: false example: 0.4 description: |+ 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. versions: type: object properties: + v1.2.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 28, 2022 + x-details: Introduced optional parameter vad + description: Latest Version v1.2.1: type: array items: @@ -288,7 +294,6 @@ components: - type: string example: Published Date - Nov 09, 2021 x-details: Vad bug fix - description: Latest Version v1.2.0: type: array items: From c9c865abce654b175af0d030cbc432eb529d42d9 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 19 Jan 2022 10:30:08 +0800 Subject: [PATCH 3480/5916] Added consolidated vadasr yaml --- ...asr_with_voice_activity_detection_eng.yaml | 38 ++++++++++++++++++- 1 file changed, 36 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 0d2656b20..fd16725eb 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -267,7 +267,41 @@ components: default: false example: false description: |+ - Boolean value true or false to decide whether vad required or not + Optional. Boolean value true or false to decide whether vad required or not + srt: + x-name: srt + type: array + default: false + example: [{seqNum: 1,start: 1.0,end: 4.0}] + description: |+ + Optional. An ordered array of utterance struct. Used for time-coding. + items: + oneOf: + - type: object + properties: + end: + x-name: end + type: float + format: float + default: false + example: "4.0" + description: |+ + "End time of utterance, in seconds. Offset from the start of stream." + seqNum: + x-name: seqNum + type: integer + default: false + example: "1" + description: |+ + "Running sequence. Starts from 1." + start: + x-name: start + type: float + format: float + default: false + example: "1.0" + description: |+ + "Start time of utterance, in seconds. Offset from the start of stream." threshold: x-name: threshold type: number @@ -275,7 +309,7 @@ components: default: false example: 0.4 description: |+ - 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. versions: type: object properties: From cb364a7ffc830f78b265766841e484a86298514e Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 19 Jan 2022 11:55:43 +0800 Subject: [PATCH 3481/5916] landmark yaml edited --- computer_vision/landmark_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/landmark_recognition.yaml b/computer_vision/landmark_recognition.yaml index be278b103..10e51402c 100644 --- a/computer_vision/landmark_recognition.yaml +++ b/computer_vision/landmark_recognition.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Landmark Detection (SG or JP) description: |+ - This Computer Vision microservice identifies Singapore and Japan landmarks from multiple input images based on location parameter.By default it location is Singapore. + This Computer Vision microservice identifies Singapore and Japan landmarks from multiple input images based on location parameter. By default location is Singapore. The microservice returns the detected landmark and confidence score. From 0196d1088bd6b435d4ad191e74ef4c2d9f3a12b0 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 19 Jan 2022 12:27:57 +0800 Subject: [PATCH 3482/5916] edited consolidated vadasr yaml --- voice/automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 64cf621aa..e201b5c4b 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -269,7 +269,7 @@ components: default: false example: [{seqNum: 1,start: 1.0,end: 4.0}] description: |+ - Optional. An ordered array of utterance struct. Used for time-coding. + Optional parameter to be used only if vad is false. An ordered array of utterance struct. Used for time-coding. items: oneOf: - type: object From d73d0bed72ac64a112f2bd31a4fe761fd97aafca Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 19 Jan 2022 12:42:01 +0800 Subject: [PATCH 3483/5916] edited consolidated vadasr yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 2 +- voice/automatic_speech_recognition_eng.yaml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index fd16725eb..952b86db3 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -274,7 +274,7 @@ components: default: false example: [{seqNum: 1,start: 1.0,end: 4.0}] description: |+ - Optional. An ordered array of utterance struct. Used for time-coding. + Optional parameter to be used only if vad is false. An ordered array of utterance struct. Used for time-coding. items: oneOf: - type: object diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index e201b5c4b..64cf621aa 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -269,7 +269,7 @@ components: default: false example: [{seqNum: 1,start: 1.0,end: 4.0}] description: |+ - Optional parameter to be used only if vad is false. An ordered array of utterance struct. Used for time-coding. + Optional. An ordered array of utterance struct. Used for time-coding. items: oneOf: - type: object From d24523aa540f391e3bd67e5dc26af04fd8b93130 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 19 Jan 2022 15:59:50 +0800 Subject: [PATCH 3484/5916] paraphrase yaml added --- index.yaml | 4 + nlp/paraphrase.yaml | 223 ++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 227 insertions(+) create mode 100644 nlp/paraphrase.yaml diff --git a/index.yaml b/index.yaml index 131aa32d4..43930d8ee 100644 --- a/index.yaml +++ b/index.yaml @@ -93,6 +93,10 @@ nlp: title: Named-Entity Recognition ENG versions: 1.0.0: 'named-entity_recognition_eng.yaml' + paraphrase: + title: Paraphrase + versions: + 0.1.0: 'paraphrase.yaml' spacy_ner: title: spaCy NER versions: diff --git a/nlp/paraphrase.yaml b/nlp/paraphrase.yaml new file mode 100644 index 000000000..68f865275 --- /dev/null +++ b/nlp/paraphrase.yaml @@ -0,0 +1,223 @@ + +openapi: 3.0.1 +info: + title: Paraphrase + description: |+ + This microservice is used to rewrite and enhance the input text. + version: v0.1.0 + x-additionalinfo: + x-subscribelink: paraphrase +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - January 28, 2022" +paths: + /microservices/nlp/paraphrase/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: They have to keep increasing the water prices if we don't save. + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call + example: { "" } + properties: + output: + description: Paraphrased output text + example: They have to keep increasing the water prices if we don't save. + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - January 28, 2022 + description: Initial Release + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: if we don't save, they have to keep on increasing the water prices, and we have to play more. + description: |+ + Input text. + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From c6da58abf9555ad2a1742a83d772acd7fadb2812 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 19 Jan 2022 17:08:04 +0800 Subject: [PATCH 3485/5916] paraphrase description edited --- nlp/paraphrase.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/paraphrase.yaml b/nlp/paraphrase.yaml index 68f865275..3d1674927 100644 --- a/nlp/paraphrase.yaml +++ b/nlp/paraphrase.yaml @@ -3,7 +3,7 @@ openapi: 3.0.1 info: title: Paraphrase description: |+ - This microservice is used to rewrite and enhance the input text. + This microservice is used to rewrite and enhance the input sentence. version: v0.1.0 x-additionalinfo: x-subscribelink: paraphrase From 39c3b8de44e7025021af9adc8107a391166b2958 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 19 Jan 2022 17:19:04 +0800 Subject: [PATCH 3486/5916] paraphrase description edited --- nlp/paraphrase.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/nlp/paraphrase.yaml b/nlp/paraphrase.yaml index 3d1674927..93cc373e9 100644 --- a/nlp/paraphrase.yaml +++ b/nlp/paraphrase.yaml @@ -5,7 +5,6 @@ info: description: |+ This microservice is used to rewrite and enhance the input sentence. version: v0.1.0 - x-additionalinfo: x-subscribelink: paraphrase servers: - url: 'https://dev-apis.sentient.io' From b9a24673f762ed644a653048b79dfbee4351994c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 21 Jan 2022 08:55:25 +0530 Subject: [PATCH 3487/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index a595cbb4f..767cb2c4e 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -10,7 +10,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/asrsch.pdf + https://storage.googleapis.com/lpdocs/alibaba_chinese_asr.yaml version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 156ea4e1138cc9f0af8447ec2c3bda8919fca52e Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 21 Jan 2022 16:44:06 +0800 Subject: [PATCH 3488/5916] invalidinput added under schema in paraphrase yaml --- nlp/paraphrase.yaml | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/nlp/paraphrase.yaml b/nlp/paraphrase.yaml index 93cc373e9..dea6c0e33 100644 --- a/nlp/paraphrase.yaml +++ b/nlp/paraphrase.yaml @@ -151,6 +151,15 @@ components: status: type: string example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure servererror: type: object properties: From cd52ebb04ef553f1681f99feb00bcf900ef25922 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 21 Jan 2022 16:49:54 +0800 Subject: [PATCH 3489/5916] invalidinput added under schema in personreid and maskedfr yaml --- computer_vision/masked_face_recognition.yaml | 9 +++++++++ computer_vision/person_reidentification.yaml | 9 +++++++++ nlp/word_scoring_and_suggestions.yaml | 9 +++++++++ 3 files changed, 27 insertions(+) diff --git a/computer_vision/masked_face_recognition.yaml b/computer_vision/masked_face_recognition.yaml index 5af56e172..19427ba8f 100644 --- a/computer_vision/masked_face_recognition.yaml +++ b/computer_vision/masked_face_recognition.yaml @@ -230,6 +230,15 @@ components: status: type: string example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure servererror: type: object properties: diff --git a/computer_vision/person_reidentification.yaml b/computer_vision/person_reidentification.yaml index eb59148ca..507ea850f 100644 --- a/computer_vision/person_reidentification.yaml +++ b/computer_vision/person_reidentification.yaml @@ -210,6 +210,15 @@ components: status: type: string example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure servererror: type: object properties: diff --git a/nlp/word_scoring_and_suggestions.yaml b/nlp/word_scoring_and_suggestions.yaml index 0703cc6a9..fe07e875a 100644 --- a/nlp/word_scoring_and_suggestions.yaml +++ b/nlp/word_scoring_and_suggestions.yaml @@ -211,6 +211,15 @@ components: status: type: string example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure gatewaytimeout: type: object properties: From 41a2e8c61e21c0d2b5e27a8e6a266a8baed5d241 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 25 Jan 2022 17:47:42 +0800 Subject: [PATCH 3490/5916] Added kyc for test --- index.yaml | 4 + nlp/kyc.yaml | 235 +++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 239 insertions(+) create mode 100644 nlp/kyc.yaml diff --git a/index.yaml b/index.yaml index 43930d8ee..8b5445957 100644 --- a/index.yaml +++ b/index.yaml @@ -84,6 +84,10 @@ voice: versions: 0.1.0: 'automatic_speech_recognition_chi_large_file.yaml' nlp: + kyc: + title: KYC + versions: + 0.1.0: 'kyc.yaml' inverse_text_normalisation_eng: title: Inverse Text Normalisation ENG versions: diff --git a/nlp/kyc.yaml b/nlp/kyc.yaml new file mode 100644 index 000000000..73b860f34 --- /dev/null +++ b/nlp/kyc.yaml @@ -0,0 +1,235 @@ +openapi: 3.0.1 +info: + title: KYC + description: |+ + Know your customer + version: '0.1.0' + x-subscribelink: kyc + +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date" +paths: + /microservice/nlp/kyc/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"error msg": null,"score": "0.9661311","y": "Financial Services"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + error_msg: + x-name: error_msg + type: string + example: error + description: Error message + score: + x-name: score + type: string + example: "0.9661311" + description: Nationalities or religious or political groups. + y: + x-name: y + type: string + example: Financial Services + description: Identified Sector + + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array" + items: + oneOf: + - type: string + example: Published Date + x-details: Initial version + desrciption: Not released + input: + type: object + required: + - url + properties: + url: + x-name: url + type: string + default: true + example: "https://www.citibank.com.sg/" + description: |+ + Input url + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 24656ad7cc62d6ff534a1e1bbe776777d10ec1b0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 16:25:30 +0530 Subject: [PATCH 3491/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 767cb2c4e..3b68bca22 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -10,7 +10,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/alibaba_chinese_asr.yaml + https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From 423b542573651772e3019ffcb6ac8cb35801e941 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 16:39:09 +0530 Subject: [PATCH 3492/5916] Delete asr_with_voice_activity_detection_eng_large_file.yaml --- ...ice_activity_detection_eng_large_file.yaml | 543 ------------------ 1 file changed, 543 deletions(-) delete mode 100644 voice/asr_with_voice_activity_detection_eng_large_file.yaml diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml deleted file mode 100644 index abc84cd27..000000000 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ /dev/null @@ -1,543 +0,0 @@ -openapi: 3.0.1 -info: - title: ASR with Voice Activity Detection ENG (Large File) - description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. - version: '0.1.0' - x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: - - - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng - - The file upload form https://sentient.io/upload/form.html - x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/vadasr.pdf - x-subscribelink: asr_with_voice_activity_detection_eng - x-apitype: large file - x-apitypedescription: |+ - Asyncronous | Batch | 1GB/File. - x-inputfilelimit: |+ - Process up to 1 GB of File Size. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 1 GB. - x-apidetailsdesc: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 30, 2021" -paths: - /async/microservices/voice/vadasr/v0/getuploadurl: - description: |+ - Get the pre-signed url to upload the file. - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - fields: - content-type: audio/mpeg - key: >- - 309/495/lp-vadasr/input/113test_7c949f4a2cdd4cfc87de9a66cbe53eea.mp3 - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211217/auto/storage/goog4_request - x-goog-date: 20211217T054423Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: '0bb7339b0c4e476c9b6475e09034e233' - x-goog-meta-uuid: 7c949f4a2cdd4cfc87de9a66cbe53eea - x-goog-signature: >- - 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 - jid: 7c949f4a2cdd4cfc87de9a66cbe53eea - request_cost: 7.9361 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - /upload: - description: |+ - Upload your file to start processing. - post: - servers: - - url: 'https://storage.googleapis.com/user_space_dev/' - description: Override base path for the GET /ping operation - tags: - - v0.1.0 - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/uploadinput' - required: true - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - /async/microservices/voice/vadasr/v0/getstatus: - description: |+ - Query for processing status. - get: - tags: - - v0.1.0 - parameters: - - in: query - name: jid - schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: 'Dec 17, 2021' - message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-vadasr/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.0298 - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated - message: - type: string - example: File Processing Successfully Started - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Processing - description: Detail description on the API status - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - fields: - type: object - example: { "" } - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 30, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - file_name - - additional_param - properties: - file_name: - x-name: file_name - type: string - default: true - format: binary - example: '4 test.wav' - description: |+ - Name of file to be upload. - file_size: - x-name: file_size - type: integer - default: true - example: 4746636 - description: |+ - Size of the file. Maximum size should be 1 GB. - content_type: - x-name: content_type - type: string - default: true - example: 'audio/wav' - description: |+ - Specify the content-type. Pick any one from below list based on input file type. - ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] - additional_param: - x-name: additional_param - type: object - properties: - model: - x-model: model - type: string - default: true - example: prepared_speech - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - - 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz - 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. - 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. - threshold: - x-threshold: threshold - type: number - example: 0.4 - description: |+ - 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. - uploadinput: - type: object - required: - - filePath - properties: - filePath: - type: string - format: binary - default: true - example: sample.wav - description: file - content-type: - type: string - default: false - example: application/pdf - description: Fields - key: - type: string - default: false - example: 1757/2531/lp-vadasr/input/4test_61c2cadaaae5479fa24494a8a073b86c.wav - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: {\"password\": \"fffff\"} - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 1 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 2 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 - description: Fields - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 46c7fa881cffc839bc1acb9c17f3b37dcd24dc0f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 16:40:08 +0530 Subject: [PATCH 3493/5916] Update index.yaml --- index.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/index.yaml b/index.yaml index 8b5445957..a108780ef 100644 --- a/index.yaml +++ b/index.yaml @@ -78,11 +78,7 @@ voice: speaker_diarization: title: Speaker Diarization versions: - 0.1.0: 'speaker_diarization.yaml' - automatic_speech_recognition_chi_large_file: - title: Automatic Speech Recognition CHI (Large File) - versions: - 0.1.0: 'automatic_speech_recognition_chi_large_file.yaml' + 0.1.0: 'speaker_diarization.yaml' nlp: kyc: title: KYC From 0f62d84f9e50137e6ef87aeddf19dce4d26b5d77 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 16:47:06 +0530 Subject: [PATCH 3494/5916] Delete automatic_speech_recognition_chi_large_file.yaml --- ...tic_speech_recognition_chi_large_file.yaml | 529 ------------------ 1 file changed, 529 deletions(-) delete mode 100644 voice/automatic_speech_recognition_chi_large_file.yaml diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml deleted file mode 100644 index 3b68bca22..000000000 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ /dev/null @@ -1,529 +0,0 @@ -openapi: 3.0.1 -info: - title: Automatic Speech Recognition CHI (Large File) - description: |+ - This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response. - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. - - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html - x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf - version: '0.1.0' - x-subscribelink: automatic_speech_recognition_chi - x-apitype: large file - x-apitypedescription: |+ - Asyncronous | Batch | 1GB/File. - x-inputfilelimit: |+ - Process up to 1 GB of File Size. - x-responsetime: |+ - The response rate is slower than the small file API due to large data. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 1 GB. - x-apidetailsdesc: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 30, 2021" -paths: - /async/microservices/voice/asrsch/v0/getuploadurl: - description: |+ - Get the pre-signed url to upload the file. - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - fields: - content-type: audio/wav - key: >- - 309/495/lp-alibabachiasr/input/chinetest_4f079ca05c614d789252db1d574664d8.wav - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request - x-goog-date: 20211220T042940Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: f3637e07bc3b45cdbc74686395df43fa - x-goog-meta-uuid: 4f079ca05c614d789252db1d574664d8 - x-goog-signature: >- - 304d7e52afcea3d6e41818b7c3c71973f275ff979c1280c174b902498eb7bf8f8083dde132af0751ea1fd03a6b3f5e01a6427f5ac05c143da7e9fca53a5c7603b98330291ddb7d90a441eb5ec51340b96a3142497f42dbe6771fabdcfee7dfdc5fd7c0f0fc23dbdfab263fabd1de9a832ee37ec34d4a20e9af6152b708e147d7ae2d02c7f77a2c58577ae2e64914a664d7af6ff0799390c7641e1865affb5749ad40711c9d4049a6a87efe7125257790767c6de237cddd76a1f4bc7662c324b02d770b62f01b7b79b1ea6e8dae0e15f7661c126d8312ba04bcc8c7d290acc7cabf7670d48c4f68272036ba7c545ad04771605db41acabb2bb6e850e9c9d094bf - jid: e7fe34e9c21c4d75bc94051e476141c5 - request_cost: 0.0319 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - /upload: - description: |+ - Upload your file to start processing. - post: - servers: - - url: 'https://storage.googleapis.com/user_space_dev/' - description: Override base path for the GET /ping operation - tags: - - v0.1.0 - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/uploadinput' - required: true - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - /async/microservices/voice/asrsch/v0/getstatus: - description: |+ - Query for processing status. - get: - tags: - - v0.1.0 - parameters: - - in: query - name: jid - schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 - status: Processing - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated - message: - type: string - example: File Processing Successfully Started - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Processing - description: Detail description on the API status - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - fields: - type: object - example: { "" } - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 30, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - file_name - properties: - file_name: - x-name: file_name - type: string - default: true - format: binary - example: '4 test.wav' - description: |+ - Name of file to be upload. - file_size: - x-name: file_size - type: integer - default: true - example: 4746636 - description: |+ - Size of the file. Maximum size should be 1 GB. - content_type: - x-name: content_type - type: string - default: true - example: 'audio/wav' - description: |+ - Specify the content-type. Pick any one from below list based on input file type. - ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] - uploadinput: - type: object - required: - - filePath - properties: - fields: - type: object - example: - - description: Json Object of returned results - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211220T042940Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 309 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: f3637e07bc3b45cdbc74686395df43fa - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 4f079ca05c614d789252db1d574664d8 - description: Google algorithm - x-goog-signature: - type: string - example: 304d7e52afcea3d6e41818b7c3c71973f275... - description: Google algorithm - jid: - type: string - example: e7fe34e9c21c4d75bc94051e476141c5 - description: Google algorithm - request_cost: - type: string - example: 0.0298 - description: Google algorithm - url: - type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 2d75cbcb532936517293a2ccc0ebc5a1b893d91b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 16:48:02 +0530 Subject: [PATCH 3495/5916] Create automatic_speech_recognition_chi_large_file.yaml --- ...tic_speech_recognition_chi_large_file.yaml | 529 ++++++++++++++++++ 1 file changed, 529 insertions(+) create mode 100644 voice/automatic_speech_recognition_chi_large_file.yaml diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml new file mode 100644 index 000000000..a17b75d9b --- /dev/null +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -0,0 +1,529 @@ +openapi: 3.0.1 +info: + title: Automatic Speech Recognition CHI (Large File) + description: |+ + This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response. + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. + - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. + - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf + version: '0.1.0' + x-subscribelink: automatic_speech_recognition_chi + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 30, 2021" +paths: + /async/microservices/voice/asrsch/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-alibabachiasr/input/chinetest_4f079ca05c614d789252db1d574664d8.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T042940Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: f3637e07bc3b45cdbc74686395df43fa + x-goog-meta-uuid: 4f079ca05c614d789252db1d574664d8 + x-goog-signature: >- + 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 + jid: e7fe34e9c21c4d75bc94051e476141c5 + request_cost: 0.0319 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/asrsch/v0/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 30, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: '4 test.wav' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'audio/wav' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] + uploadinput: + type: object + required: + - filePath + properties: + fields: + type: object + example: + + description: Json Object of returned results + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T042940Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: f3637e07bc3b45cdbc74686395df43fa + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 4f079ca05c614d789252db1d574664d8 + description: Google algorithm + x-goog-signature: + type: string + example: 304d7e52afcea3d6e41818b7c3c71973f275... + description: Google algorithm + jid: + type: string + example: e7fe34e9c21c4d75bc94051e476141c5 + description: Google algorithm + request_cost: + type: string + example: 0.0298 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From ca60f3290b3837d0421444ad76e9fe257b238d3b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 16:48:30 +0530 Subject: [PATCH 3496/5916] Update index.yaml --- index.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index a108780ef..780499339 100644 --- a/index.yaml +++ b/index.yaml @@ -78,7 +78,11 @@ voice: speaker_diarization: title: Speaker Diarization versions: - 0.1.0: 'speaker_diarization.yaml' + 0.1.0: 'speaker_diarization.yaml' + automatic_speech_recognition_chi_large_file: + title: Automatic Speech Recognition CHI (Large File) + versions: + 0.1.0: 'automatic_speech_recognition_chi_large_file.yaml' nlp: kyc: title: KYC From e84d56429bd8e90027c407eff5c205e0736c2c84 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 25 Jan 2022 17:05:14 +0530 Subject: [PATCH 3497/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index c52514f63..2b7a5cd30 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -242,7 +242,11 @@ components: example: "Good Morning" description: Input text that has to be translated (can be in any language). It supports 5000 characters. default: true - target_lang: + input_language: + type: string + example: en + description: Optional. Specify the input language of the input text, if required. + target_language: type: string example: "fr" description: |+ From 0a3ae23cabd809abe7598948dd72a38398bc77d7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 17:43:21 +0530 Subject: [PATCH 3498/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index a17b75d9b..27026d249 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -10,7 +10,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/alibaba_chinese_asr.pdf + https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file From ef7ba9f2b79ddbbe6b878fd2e09ad7f32554773b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 18:41:09 +0530 Subject: [PATCH 3499/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 27026d249..cfc9f622d 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Automatic Speech Recognition CHI (Large File) + title: Automatic Speech Recognition CHI description: |+ This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. From 1a420303f81ed3b482a5098d23203406085362c3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 18:44:31 +0530 Subject: [PATCH 3500/5916] Update and rename asr_with_voice_activity_detection_eng_largefile.yaml to asr_with_voice_activity_detection_eng_large_file.yaml --- ...ice_activity_detection_eng_large_file.yaml | 542 ++++++++++++++++++ ...oice_activity_detection_eng_largefile.yaml | 46 -- 2 files changed, 542 insertions(+), 46 deletions(-) create mode 100644 voice/asr_with_voice_activity_detection_eng_large_file.yaml delete mode 100644 voice/asr_with_voice_activity_detection_eng_largefile.yaml diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml new file mode 100644 index 000000000..a16cb5ef7 --- /dev/null +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -0,0 +1,542 @@ +openapi: 3.0.1 +info: + title: ASR with Voice Activity Detection ENG (Large File) + description: |+ + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. + version: '0.1.0' + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + + - Detailed reference to the additional parameters https://docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng + - The file upload form https://sentient.io/upload/form.html + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/vadasreng.pdf + x-subscribelink: asr_with_voice_activity_detection_eng + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 30, 2021" +paths: + /async/microservices/voice/vadasr/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/mpeg + key: >- + 309/495/lp-vadasr/input/113test_7c949f4a2cdd4cfc87de9a66cbe53eea.mp3 + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211217/auto/storage/goog4_request + x-goog-date: 20211217T054423Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: '0bb7339b0c4e476c9b6475e09034e233' + x-goog-meta-uuid: 7c949f4a2cdd4cfc87de9a66cbe53eea + x-goog-signature: >- + 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 + jid: 7c949f4a2cdd4cfc87de9a66cbe53eea + request_cost: 7.9361 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/vadasr/v0/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 17, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-vadasr/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.0298 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 30, 2021 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + - additional_param + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: '4 test.wav' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'audio/wav' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] + additional_param: + x-name: additional_param + type: object + properties: + model: + x-model: model + type: string + default: true + example: prepared_speech + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. + threshold: + x-threshold: threshold + type: number + example: 0.4 + description: |+ + 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + uploadinput: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: application/pdf + description: Fields + key: + type: string + default: false + example: 1757/2531/lp-vadasr/input/4test_61c2cadaaae5479fa24494a8a073b86c.wav + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: {\"password\": \"fffff\"} + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 1 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 2 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/voice/asr_with_voice_activity_detection_eng_largefile.yaml b/voice/asr_with_voice_activity_detection_eng_largefile.yaml deleted file mode 100644 index 37a6fbda4..000000000 --- a/voice/asr_with_voice_activity_detection_eng_largefile.yaml +++ /dev/null @@ -1,46 +0,0 @@ -info: - title: ASR with Voice Activity Detection ENG Large - description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - - This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. - - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. - version: '0.1.0' - x-apitypedescription: |+ - Asyncronous | Batch | 10GB/File - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed 60 seconds. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Dec 12, 2021" -html: |+ - - -paths: - /: - post: - tags: - - v0.1.0 -components: - schemas: - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 12, 2021 - x-details: Initial version release - description: Latest Version From b9c8680e6e7ecef6ee9076e3a74524bb277c0c95 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 25 Jan 2022 18:49:04 +0530 Subject: [PATCH 3501/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index cfc9f622d..92df10983 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -7,11 +7,11 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. + version: '0.1.0' x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf - version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file x-apitypedescription: |+ From edc2b30fbd886f90de9d7aac0ce2c7edd4764e49 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 26 Jan 2022 09:35:14 +0800 Subject: [PATCH 3502/5916] kyc modified --- nlp/kyc.yaml | 9 --------- 1 file changed, 9 deletions(-) diff --git a/nlp/kyc.yaml b/nlp/kyc.yaml index 73b860f34..771207797 100644 --- a/nlp/kyc.yaml +++ b/nlp/kyc.yaml @@ -157,15 +157,6 @@ components: status: type: string example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure servererror: type: object properties: From fd3019f1c4c893ed4948273deb8e0dcb21d8a989 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 26 Jan 2022 11:18:08 +0800 Subject: [PATCH 3503/5916] Ner upgrade yaml added --- index.yaml | 3 +- nlp/named-entity_recognition_eng.yaml | 294 ++++++++++++++++++--- nlp/named-entity_recognition_eng_v1.0.yaml | 284 ++++++++++++++++++++ 3 files changed, 542 insertions(+), 39 deletions(-) create mode 100644 nlp/named-entity_recognition_eng_v1.0.yaml diff --git a/index.yaml b/index.yaml index 780499339..0533996b8 100644 --- a/index.yaml +++ b/index.yaml @@ -96,7 +96,8 @@ nlp: named-entity_recognition_eng: title: Named-Entity Recognition ENG versions: - 1.0.0: 'named-entity_recognition_eng.yaml' + 2.0.0: 'named-entity_recognition_eng.yaml' + 1.0.0: 'named-entity_recognition_eng_v1.0.yaml' paraphrase: title: Paraphrase versions: diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 031763f69..f272ff184 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -2,14 +2,14 @@ openapi: 3.0.1 info: title: Named-Entity Recognition ENG description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text. + This NLP microservice locates and classifies the named-entities classes from input unstructured English text and also returns the entity start and endpositions. - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. Do ensure that your text is within **5000 characters**. - version: '1.0.0' + version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: - Extracting structured pre-defined information from text. @@ -30,15 +30,15 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured English text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - Sep 30, 2020" +- name: "v2.0.0" + description: "Published Date - Jan 28, 2022" paths: - /microservices/nlp/namedentityrecognition/v1/getpredictions: + /microservices/nlp/namedentityrecognition/v2/getpredictions: post: tags: - - v1.0.0 + - v2.0.0 responses: '200': description: Ok @@ -46,7 +46,161 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} + example: { + "message": "Successfully Processed", + "results": { + "cardinal": [ + { + "end_char": 47, + "entity": "77", + "start_char": 45 + }, + { + "end_char": 527, + "entity": "11.59pm", + "start_char": 520 + }, + { + "end_char": 571, + "entity": "14", + "start_char": 569 + } + ], + "date": [ + { + "end_char": 89, + "entity": "Wednesday", + "start_char": 80 + }, + { + "end_char": 97, + "entity": "Feb 19", + "start_char": 91 + }, + { + "end_char": 285, + "entity": "the last 14 days", + "start_char": 269 + }, + { + "end_char": 374, + "entity": "Thursday", + "start_char": 366 + }, + { + "end_char": 538, + "entity": "Tuesday", + "start_char": 531 + }, + { + "end_char": 903, + "entity": "up to six month", + "start_char": 888 + }, + { + "end_char": 1019, + "entity": "up to a year", + "start_char": 1007 + } + ], + "loc": [ + { + "end_char": 9, + "entity": "SINGAPORE", + "start_char": 0 + }, + { + "end_char": 23, + "entity": "Immigration", + "start_char": 12 + }, + { + "end_char": 174, + "entity": "Singapore", + "start_char": 165 + }, + { + "end_char": 265, + "entity": "China", + "start_char": 260 + }, + { + "end_char": 385, + "entity": "Travellers", + "start_char": 375 + }, + { + "end_char": 396, + "entity": "Hubei", + "start_char": 391 + } + ], + "money": [ + { + "end_char": 873, + "entity": "up to $10,000", + "start_char": 860 + }, + { + "end_char": 1002, + "entity": "20,000", + "start_char": 996 + } + ], + "ordinal": [ + { + "end_char": 927, + "entity": "first", + "start_char": 922 + } + ], + "org": [ + { + "end_char": 333, + "entity": "Immigration and Checkpoints Authority", + "start_char": 296 + }, + { + "end_char": 338, + "entity": "ICA", + "start_char": 335 + }, + { + "end_char": 627, + "entity": "LOA", + "start_char": 624 + }, + { + "end_char": 700, + "entity": "LOA", + "start_char": 697 + }, + { + "end_char": 823, + "entity": "Infectious Diseases Act", + "start_char": 800 + }, + { + "end_char": 844, + "entity": "ICA.They", + "start_char": 836 + } + ], + "time": [ + { + "end_char": 76, + "entity": "noon", + "start_char": 72 + }, + { + "end_char": 108, + "entity": "12 hours", + "start_char": 100 + } + ] + }, + "status": "Success" +} '401': description: Unauthorized content: @@ -119,40 +273,96 @@ components: example: { "" } description: Json Object of returned results properties: - loc: + person: + x-name: person + type: array + example: [{"end_char": 3,"entity": "Donald Trump","start_char": 1}] + description: People, including fictional. + norp: + x-name: norp type: array - items: - type: string - example: - - Hubei - - Singapore - - Hubei - - Hubei - - Immigration - description: "name of location found in the text string" - misc: + example: [{"entity":"Chinese","start_char": 1,"end_char": 2},{"entity":Singaporean,"start_char": 4,"end_char": 5},{"entity": Malay,"start_char": 6,"end_char": 7}] + description: Nationalities or religious or political groups. + fac: + x-name: fac type: array - items: - type: string - example: - - ICA.They - description: "name of miscellaneous names found in the text string" + example: [{"entity":Changi Airport,"start_char": 1,"end_char": 3}] + description: Buildings, airports, highways, bridges, etc. org: + x-name: org + type: array + example: [{"entity": "ICAO","start_char": 14,"end_char": 15}] + description: Companies, agencies, institutions, etc. + gpe: + x-name: gpe + type: array + example: [{"entity": "Singapore","start_char": 0,"end_char": 1}] + description: Countries, cities, states. + loc: + x-name: loc + type: array + example: [{"entity":"Asia","start_char": 42,"end_char": 43}] + description: Non-GPE locations, mountain ranges, bodies of water. + product: + x-name: product + type: array + example: [{"entity": Formula 1,"start_char": 5,"end_char": 7}] + description: Objects, vehicles, foods, etc. (Not services.) + event: + x-name: event + type: array + example: [{"entity": the Second World War,"start_char": 1,"end_char": 5}] + description: Named hurricanes, battles, wars, sports events, etc. + work_of_art: + x-name: work_of_art + type: array + example: [{"entity":Wizardry,"start_char": 1,"end_char": 2}] + description: Titles of books, songs, etc. + law: + x-name: law + type: array + example: [{"entity":the Penal Code,"start_char": 1,"end_char": 4}] + description: Named documents made into laws. + language: + x-name: language + type: array + example: [{"entity": English,"start_char": 1,"end_char": 2}] + description: Any named language. + date: + x-name: date type: array - items: - type: string - example: - - Immigration and Checkpoints Authority - - ICA - - LOA - description: "name of organizations names found in the text string" - per: + example: [{"entity": Tuesday,"start_char": 1,"end_char": 2}] + description: Absolute or relative dates or periods. + time: + x-name: time type: array - items: - type: string - example: - - Lee Hsien Loong - description: "person names found in the text string" + example: [{"entity": twenty-four hours,"start_char": 1,"end_char": 5}] + description: Times smaller than a day. + percent: + x-name: percent + type: array + example: [{"entity": 91%,"start_char": 1,"end_char": 2},{"entity": 25%,"start_char": 2,"end_char": 3},{"entity": 61%,"start_char": 4,"end_char": 5}] + description: Percentage, including ”%“. + money: + x-name: money + type: array + example: [{"entity": up to $1000,"start_char": 1,"end_char": 4}] + description: Monetary values, including unit. + quantity: + x-name: quantity + type: array + example: [{"entity": about one degree,85 miles,137 kilometres,"start_char": 1,"end_char": 8}] + description: Measurements, as of weight or distance. + ordinal: + x-name: ordinal + type: array + example: [{"entity": ninth,"start_char": 1,"end_char": 2},{"entity": seventh,"start_char": 3,"end_char": 4},{"entity": second,"start_char": 5,"end_char": 6}] + description: “first”, “second”, etc. + cardinal: + x-name: cardinal + type: array + example: [{"entity": four,"start_char": 1,"end_char": 2}] + description: Numerals that do not fall under another type. message: type: string example: Successfully Processed @@ -245,6 +455,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 28, 2022 + x-details: Merged Spacy ner and change in Output format + description: Latest Version v1.0.0: type: array items: diff --git a/nlp/named-entity_recognition_eng_v1.0.yaml b/nlp/named-entity_recognition_eng_v1.0.yaml new file mode 100644 index 000000000..031763f69 --- /dev/null +++ b/nlp/named-entity_recognition_eng_v1.0.yaml @@ -0,0 +1,284 @@ +openapi: 3.0.1 +info: + title: Named-Entity Recognition ENG + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured English text. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + Do ensure that your text is within **5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Extracting structured pre-defined information from text. + - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + x-subscribelink: named-entity_recognition_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured English text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Sep 30, 2020" +paths: + /microservices/nlp/namedentityrecognition/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message":"SuccessfullyProcessed","results":{"loc":["Hubei","Singapore","SINGAPORE","China","Immigration"],"misc":["ICA.They"],"org":["ImmigrationandCheckpointsAuthority","ICA","LOA"]},"status":"Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + loc: + type: array + items: + type: string + example: + - Hubei + - Singapore + - Hubei + - Hubei + - Immigration + description: "name of location found in the text string" + misc: + type: array + items: + type: string + example: + - ICA.They + description: "name of miscellaneous names found in the text string" + org: + type: array + items: + type: string + example: + - Immigration and Checkpoints Authority + - ICA + - LOA + description: "name of organizations names found in the text string" + per: + type: array + items: + type: string + example: + - Lee Hsien Loong + description: "person names found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25, 2019 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: SINGAPORE - Immigration officers have issued 77 stay-home notices as of noon on Wednesday (Feb 19), 12 hours after the scheme kicked in.These notices were issued to Singapore residents, long-term pass holders and foreign workers who have travelled to mainland China in the last 14 days, said the Immigration and Checkpoints Authority (ICA) in response to queries on Thursday.Travellers from Hubei province are excluded from this scheme, as they are quarantined.Those who are issued the new notices, which took effect at 11.59pm on Tuesday, cannot leave their homes for 14 days./n This is stricter than the leave of absence (LOA), which allowed people to briefly leave their homes for necessities. LOA will no longer be issued.Those who do not observe the stay-home period can be prosecuted under the Infectious Diseases Act, warned the ICA.They could be fined up to $10,000 or jailed for up to six month, or both, for the first offence. For subsequent offences, this could go up to a maximum of $20,000 and up to a year. + description: |+ + Input text. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 1b4c66ca4daba429215d6334cddec262e07463b3 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 26 Jan 2022 11:22:22 +0800 Subject: [PATCH 3504/5916] Ner upgrade yaml added --- nlp/named-entity_recognition_eng.yaml | 156 +------------------------- 1 file changed, 1 insertion(+), 155 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index f272ff184..880641888 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -46,161 +46,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: { - "message": "Successfully Processed", - "results": { - "cardinal": [ - { - "end_char": 47, - "entity": "77", - "start_char": 45 - }, - { - "end_char": 527, - "entity": "11.59pm", - "start_char": 520 - }, - { - "end_char": 571, - "entity": "14", - "start_char": 569 - } - ], - "date": [ - { - "end_char": 89, - "entity": "Wednesday", - "start_char": 80 - }, - { - "end_char": 97, - "entity": "Feb 19", - "start_char": 91 - }, - { - "end_char": 285, - "entity": "the last 14 days", - "start_char": 269 - }, - { - "end_char": 374, - "entity": "Thursday", - "start_char": 366 - }, - { - "end_char": 538, - "entity": "Tuesday", - "start_char": 531 - }, - { - "end_char": 903, - "entity": "up to six month", - "start_char": 888 - }, - { - "end_char": 1019, - "entity": "up to a year", - "start_char": 1007 - } - ], - "loc": [ - { - "end_char": 9, - "entity": "SINGAPORE", - "start_char": 0 - }, - { - "end_char": 23, - "entity": "Immigration", - "start_char": 12 - }, - { - "end_char": 174, - "entity": "Singapore", - "start_char": 165 - }, - { - "end_char": 265, - "entity": "China", - "start_char": 260 - }, - { - "end_char": 385, - "entity": "Travellers", - "start_char": 375 - }, - { - "end_char": 396, - "entity": "Hubei", - "start_char": 391 - } - ], - "money": [ - { - "end_char": 873, - "entity": "up to $10,000", - "start_char": 860 - }, - { - "end_char": 1002, - "entity": "20,000", - "start_char": 996 - } - ], - "ordinal": [ - { - "end_char": 927, - "entity": "first", - "start_char": 922 - } - ], - "org": [ - { - "end_char": 333, - "entity": "Immigration and Checkpoints Authority", - "start_char": 296 - }, - { - "end_char": 338, - "entity": "ICA", - "start_char": 335 - }, - { - "end_char": 627, - "entity": "LOA", - "start_char": 624 - }, - { - "end_char": 700, - "entity": "LOA", - "start_char": 697 - }, - { - "end_char": 823, - "entity": "Infectious Diseases Act", - "start_char": 800 - }, - { - "end_char": 844, - "entity": "ICA.They", - "start_char": 836 - } - ], - "time": [ - { - "end_char": 76, - "entity": "noon", - "start_char": 72 - }, - { - "end_char": 108, - "entity": "12 hours", - "start_char": 100 - } - ] - }, - "status": "Success" -} + example: {"message": "Successfully Processed","results": {"cardinal": [{"end_char": 47,"entity": "77","start_char": 45},{"end_char": 527,"entity": "11.59pm","start_char": 520},{"end_char": 571,"entity": "14","start_char": 569}],"status": "Success"}} '401': description: Unauthorized content: From 15510888e300168e5897d99cb7152893dfc65551 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 26 Jan 2022 11:43:11 +0530 Subject: [PATCH 3505/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 92df10983..538c6857f 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -11,7 +11,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf + https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf x-subscribelink: automatic_speech_recognition_chi x-apitype: large file x-apitypedescription: |+ From b62c2a94f0fa7e181c0cdc21cb4c7c48808bbb28 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 26 Jan 2022 17:54:06 +0530 Subject: [PATCH 3506/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 538c6857f..2d0ca0a7f 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -9,7 +9,7 @@ info: - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. version: '0.1.0' x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf x-subscribelink: automatic_speech_recognition_chi From 6b7e6e2240b0822aa4fb1960225ba943d49804a3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 26 Jan 2022 18:02:37 +0530 Subject: [PATCH 3507/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 2d0ca0a7f..663c3a7aa 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -11,7 +11,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf + https://storage.googleapis.com/lpdocs/docs/asrschi_dev.pdf x-subscribelink: automatic_speech_recognition_chi x-apitype: large file x-apitypedescription: |+ From 7324586e4b6f60e524a022e66bfd2d488fc9a508 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 26 Jan 2022 18:05:48 +0530 Subject: [PATCH 3508/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 663c3a7aa..2d0ca0a7f 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -11,7 +11,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/asrschi_dev.pdf + https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf x-subscribelink: automatic_speech_recognition_chi x-apitype: large file x-apitypedescription: |+ From 0a1478d8d284a07651eacef18bf4638d386a8d9f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 26 Jan 2022 18:12:34 +0530 Subject: [PATCH 3509/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 138 +++++++++++++++++++++++++++++++ 1 file changed, 138 insertions(+) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index af8ade86c..7efc624a1 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -9,6 +9,144 @@ info: For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + Supported languages are, + - af-ZA - Afrikaans + - sq-AL - Albanian + - am-ET - Amharic + - ar-DZ - Arabic (Algeria) + - ar-BH - Arabic (Bahrain) + - ar-EG - Arabic (Egypt) + - ar-IQ - Arabic (Iraq) + - ar-IL - Arabic (Israel) + - ar-JO - Arabic (Jordan) + - ar-KW - Arabic (Kuwait) + - ar-LB - Arabic (Lebanon) + - ar-MA - Arabic (Morocco) + - ar-OM - Arabic (Oman) + - ar-QA -Arabic (Qatar) + - ar-SA - Arabic (Saudi Arabia) + - ar-PS - Arabic (State of Palestine) + - ar-TN - Arabic (Tunisia) + - ar-AE - Arabic (United Arab Emirates) + - ar-YE - Arabic (Yemen) + - hy-AM - Armenian + - az-AZ - Azerbaijani + - eu-ES - Basque + - bn-BD - Bengali (Bangladesh) + - bn-IN - Bengali (India) + - bs-BA - Bosnian + - bg-BG - Bulgarian + - my-MM - Burmese + - ca-ES - Catalan + - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) + - zh - Chinese, Mandarin (Simplified, China) + - zh-TW - Chinese, Mandarin (Traditional, Taiwan) + - hr-HR - Croatian + - cs-CZ - Czech + - da-DK - Danish + - nl-BE - Dutch (Belgium) + - nl-NL - Dutch (Netherlands) + - en-AU - English (Australia) + - en-CA - English (Canada) + - en-GH - English (Ghana) + - en-HK - English (Hong Kong) + - en-IN - English (India) + - en-IE - English (Ireland) + - en-KE - Englisgh (Kenya) + - en-NZ - English ( New Zealand) + - en-NG - English ( Nigeria) + - en-PK - English (Pakistan) + - en-PH - English (Philippines) + - en-SG - English (Singapore) + - en-ZA - English (South Africa) + - en-TZ - English (Tanzania) + - en-GB - English (United Kingdom) + - en-US - English (United States) + - et-EE - Estonian + - fil-PH - Filipino + - fi-FI - Finnish + - fr-BE - French (Belgium) + - fr-CA - French (Canada) + - fr-FR - French (France) + - fr-CH - French (Switzerland) + - gl-ES - Galician + - ka-GE - Georgian + - de-AT - German (Austria) + - de-DE - German (Germany) + - de-CH - German (Switerzland) + - el-GR - Greek + - gu-IN - Gujarati + - iw-IL - Hebrew + - hi-IN - Hindi + - hu-HU - Hungarian + - is-IS - Icelandic + - id-ID - Indonesia + - it-IT - Italian (Italy) + - it-CH - Italian (Switzerland) + - ja-JP - Japanese + - jv-ID - Javanese (Indonesia) + - kn-IN - Kannada + - kk-KZ - Kazakh + - KM-kh - kHMER + - KO-KR - Korean + - lo-LA - Lao + - lv-LV - Latvian + - lt-LT - Lithuanian + - mk-MK - Macedonian + - ms-MY - Malay (Malaysia) + - ml-IN - Malayalam + - mr-IN - Marathi + - mn-MN - Mongolian + - ne-NP - Nepali + - no-NO - Norwegian + - fa-IR - Persian + = pl-PL - Polish + - pt-BR - Portuguese (Brazil) + - pt-PT - Portuguese (Portugal) + - pa-Guru-IN - Punjabi (Gurmukhi India) + - ro-RO - Romanian + - ru-RU - Russian + - sr-RS - Serbian + - si-LK - Sinhala (Sri Lanka) + - sk-SK - Slovak + - sl-SI - Slovenian + - es-AR - Spanish (Argentina) + - es-BO - Spanish (Bolivia) + - es-CL - Spanish (Chile) + - es-CO - Spanish (Colombia) + - es-CR - Spanish (Costa Rica) + - es-DO - Spanish (Dominican Republic) + - es-EC - Spanish (Ecuador) + - es-SV - Spanish (Salvador) + - es-GT - Spanish (Guatemala) + - es-HN - Spanish (Honduras) + - es-MX - Spanish (Mexico) + - es-NI - Spanish (Nicaragua) + - es-PA - Spanish (Panama) + - es-PY - Spanish (Paraguay) + - es-PE - Spanish (Peru) + - es-PR - Spanish (Puerto Rico) + - es-ES - Spanish (Spain) + - es-US - Spanish (United States) + - es-UY - Spanish (Uruguay) + - es-VE - Spanish (Venezuela) + - su-ID - Sundanese (Indonesia) + - sw-KE - Swahili (Kenya) + - sw-TZ - swahili (Tanzania) + - sv-SE - Swedish + - ta-IN - Tamil (India) + - ta-MY - Tamil (Malaysia) + - ta-SG - Tamil (Singapore) + - ta-LK - Tamil (Sri Lanka) + - te-IN - Telugu + - th-TH - Thai + - tr-TR - Turkish + - uk-UA - Ukrainian + - ur-IN - Urdu (India) + - ur-PK - Urdu (Pakistan) + - uz-UZ - Uzbek + - ui-VN - Vietnamese + - zu-ZA - Zulu x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From 5e4c053c4f372c983ca8b76caebd58556627df47 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 26 Jan 2022 18:14:52 +0530 Subject: [PATCH 3510/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 7efc624a1..bd13dfce9 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -9,7 +9,7 @@ info: For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html - Supported languages are, + * **Supported languages are:** - af-ZA - Afrikaans - sq-AL - Albanian - am-ET - Amharic From 925bedb4ecff58488991e45694ba5a4df7b5821d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 11:43:47 +0530 Subject: [PATCH 3511/5916] Update automatic_speech_recognition_chi_large_file.yaml --- ...utomatic_speech_recognition_chi_large_file.yaml | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 2d0ca0a7f..45a8cfd55 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -449,7 +449,19 @@ components: example: 'audio/wav' description: |+ Specify the content-type. Pick any one from below list based on input file type. - ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] + ["audio/wav", "audio/opus", "audio/mpeg"] + inverse_text_normalization: + type: boolean + default: false + example: false + description: + Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values - True and False. Default value - False. + punctuation_prediction: + type: boolean + default: false + example: false + description: + Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. uploadinput: type: object required: From 3234affa1cc849a817b313315d6637c72e7219a0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 11:51:14 +0530 Subject: [PATCH 3512/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 313 +++++++++++++++++-------------- 1 file changed, 175 insertions(+), 138 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index bd13dfce9..cc2b1e9ab 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,143 +10,143 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - - af-ZA - Afrikaans - - sq-AL - Albanian - - am-ET - Amharic - - ar-DZ - Arabic (Algeria) - - ar-BH - Arabic (Bahrain) - - ar-EG - Arabic (Egypt) - - ar-IQ - Arabic (Iraq) - - ar-IL - Arabic (Israel) - - ar-JO - Arabic (Jordan) - - ar-KW - Arabic (Kuwait) - - ar-LB - Arabic (Lebanon) - - ar-MA - Arabic (Morocco) - - ar-OM - Arabic (Oman) - - ar-QA -Arabic (Qatar) - - ar-SA - Arabic (Saudi Arabia) - - ar-PS - Arabic (State of Palestine) - - ar-TN - Arabic (Tunisia) - - ar-AE - Arabic (United Arab Emirates) - - ar-YE - Arabic (Yemen) - - hy-AM - Armenian - - az-AZ - Azerbaijani - - eu-ES - Basque - - bn-BD - Bengali (Bangladesh) - - bn-IN - Bengali (India) - - bs-BA - Bosnian - - bg-BG - Bulgarian - - my-MM - Burmese - - ca-ES - Catalan - - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) - - zh - Chinese, Mandarin (Simplified, China) - - zh-TW - Chinese, Mandarin (Traditional, Taiwan) - - hr-HR - Croatian - - cs-CZ - Czech - - da-DK - Danish - - nl-BE - Dutch (Belgium) - - nl-NL - Dutch (Netherlands) - - en-AU - English (Australia) - - en-CA - English (Canada) - - en-GH - English (Ghana) - - en-HK - English (Hong Kong) - - en-IN - English (India) - - en-IE - English (Ireland) - - en-KE - Englisgh (Kenya) - - en-NZ - English ( New Zealand) - - en-NG - English ( Nigeria) - - en-PK - English (Pakistan) - - en-PH - English (Philippines) - - en-SG - English (Singapore) - - en-ZA - English (South Africa) - - en-TZ - English (Tanzania) - - en-GB - English (United Kingdom) - - en-US - English (United States) - - et-EE - Estonian - - fil-PH - Filipino - - fi-FI - Finnish - - fr-BE - French (Belgium) - - fr-CA - French (Canada) - - fr-FR - French (France) - - fr-CH - French (Switzerland) - - gl-ES - Galician - - ka-GE - Georgian - - de-AT - German (Austria) - - de-DE - German (Germany) - - de-CH - German (Switerzland) - - el-GR - Greek - - gu-IN - Gujarati - - iw-IL - Hebrew - - hi-IN - Hindi - - hu-HU - Hungarian - - is-IS - Icelandic - - id-ID - Indonesia - - it-IT - Italian (Italy) - - it-CH - Italian (Switzerland) - - ja-JP - Japanese - - jv-ID - Javanese (Indonesia) - - kn-IN - Kannada - - kk-KZ - Kazakh - - KM-kh - kHMER - - KO-KR - Korean - - lo-LA - Lao - - lv-LV - Latvian - - lt-LT - Lithuanian - - mk-MK - Macedonian - - ms-MY - Malay (Malaysia) - - ml-IN - Malayalam - - mr-IN - Marathi - - mn-MN - Mongolian - - ne-NP - Nepali - - no-NO - Norwegian - - fa-IR - Persian - = pl-PL - Polish - - pt-BR - Portuguese (Brazil) - - pt-PT - Portuguese (Portugal) - - pa-Guru-IN - Punjabi (Gurmukhi India) - - ro-RO - Romanian - - ru-RU - Russian - - sr-RS - Serbian - - si-LK - Sinhala (Sri Lanka) - - sk-SK - Slovak - - sl-SI - Slovenian - - es-AR - Spanish (Argentina) - - es-BO - Spanish (Bolivia) - - es-CL - Spanish (Chile) - - es-CO - Spanish (Colombia) - - es-CR - Spanish (Costa Rica) - - es-DO - Spanish (Dominican Republic) - - es-EC - Spanish (Ecuador) - - es-SV - Spanish (Salvador) - - es-GT - Spanish (Guatemala) - - es-HN - Spanish (Honduras) - - es-MX - Spanish (Mexico) - - es-NI - Spanish (Nicaragua) - - es-PA - Spanish (Panama) - - es-PY - Spanish (Paraguay) - - es-PE - Spanish (Peru) - - es-PR - Spanish (Puerto Rico) - - es-ES - Spanish (Spain) - - es-US - Spanish (United States) - - es-UY - Spanish (Uruguay) - - es-VE - Spanish (Venezuela) - - su-ID - Sundanese (Indonesia) - - sw-KE - Swahili (Kenya) - - sw-TZ - swahili (Tanzania) - - sv-SE - Swedish - - ta-IN - Tamil (India) - - ta-MY - Tamil (Malaysia) - - ta-SG - Tamil (Singapore) - - ta-LK - Tamil (Sri Lanka) - - te-IN - Telugu - - th-TH - Thai - - tr-TR - Turkish - - uk-UA - Ukrainian - - ur-IN - Urdu (India) - - ur-PK - Urdu (Pakistan) - - uz-UZ - Uzbek - - ui-VN - Vietnamese - - zu-ZA - Zulu + - af-ZA - Afrikaans + - sq-AL - Albanian + - am-ET - Amharic + - ar-DZ - Arabic (Algeria) + - ar-BH - Arabic (Bahrain) + - ar-EG - Arabic (Egypt) + - ar-IQ - Arabic (Iraq) + - ar-IL - Arabic (Israel) + - ar-JO - Arabic (Jordan) + - ar-KW - Arabic (Kuwait) + - ar-LB - Arabic (Lebanon) + - ar-MA - Arabic (Morocco) + - ar-OM - Arabic (Oman) + - ar-QA -Arabic (Qatar) + - ar-SA - Arabic (Saudi Arabia) + - ar-PS - Arabic (State of Palestine) + - ar-TN - Arabic (Tunisia) + - ar-AE - Arabic (United Arab Emirates) + - ar-YE - Arabic (Yemen) + - hy-AM - Armenian + - az-AZ - Azerbaijani + - eu-ES - Basque + - bn-BD - Bengali (Bangladesh) + - bn-IN - Bengali (India) + - bs-BA - Bosnian + - bg-BG - Bulgarian + - my-MM - Burmese + - ca-ES - Catalan + - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) + - zh - Chinese, Mandarin (Simplified, China) + - zh-TW - Chinese, Mandarin (Traditional, Taiwan) + - hr-HR - Croatian + - cs-CZ - Czech + - da-DK - Danish + - nl-BE - Dutch (Belgium) + - nl-NL - Dutch (Netherlands) + - en-AU - English (Australia) + - en-CA - English (Canada) + - en-GH - English (Ghana) + - en-HK - English (Hong Kong) + - en-IN - English (India) + - en-IE - English (Ireland) + - en-KE - Englisgh (Kenya) + - en-NZ - English ( New Zealand) + - en-NG - English ( Nigeria) + - en-PK - English (Pakistan) + - en-PH - English (Philippines) + - en-SG - English (Singapore) + - en-ZA - English (South Africa) + - en-TZ - English (Tanzania) + - en-GB - English (United Kingdom) + - en-US - English (United States) + - et-EE - Estonian + - fil-PH - Filipino + - fi-FI - Finnish + - fr-BE - French (Belgium) + - fr-CA - French (Canada) + - fr-FR - French (France) + - fr-CH - French (Switzerland) + - gl-ES - Galician + - ka-GE - Georgian + - de-AT - German (Austria) + - de-DE - German (Germany) + - de-CH - German (Switerzland) + - el-GR - Greek + - gu-IN - Gujarati + - iw-IL - Hebrew + - hi-IN - Hindi + - hu-HU - Hungarian + - is-IS - Icelandic + - id-ID - Indonesia + - it-IT - Italian (Italy) + - it-CH - Italian (Switzerland) + - ja-JP - Japanese + - jv-ID - Javanese (Indonesia) + - kn-IN - Kannada + - kk-KZ - Kazakh + - KM-kh - kHMER + - KO-KR - Korean + - lo-LA - Lao + - lv-LV - Latvian + - lt-LT - Lithuanian + - mk-MK - Macedonian + - ms-MY - Malay (Malaysia) + - ml-IN - Malayalam + - mr-IN - Marathi + - mn-MN - Mongolian + - ne-NP - Nepali + - no-NO - Norwegian + - fa-IR - Persian + = pl-PL - Polish + - pt-BR - Portuguese (Brazil) + - pt-PT - Portuguese (Portugal) + - pa-Guru-IN - Punjabi (Gurmukhi India) + - ro-RO - Romanian + - ru-RU - Russian + - sr-RS - Serbian + - si-LK - Sinhala (Sri Lanka) + - sk-SK - Slovak + - sl-SI - Slovenian + - es-AR - Spanish (Argentina) + - es-BO - Spanish (Bolivia) + - es-CL - Spanish (Chile) + - es-CO - Spanish (Colombia) + - es-CR - Spanish (Costa Rica) + - es-DO - Spanish (Dominican Republic) + - es-EC - Spanish (Ecuador) + - es-SV - Spanish (Salvador) + - es-GT - Spanish (Guatemala) + - es-HN - Spanish (Honduras) + - es-MX - Spanish (Mexico) + - es-NI - Spanish (Nicaragua) + - es-PA - Spanish (Panama) + - es-PY - Spanish (Paraguay) + - es-PE - Spanish (Peru) + - es-PR - Spanish (Puerto Rico) + - es-ES - Spanish (Spain) + - es-US - Spanish (United States) + - es-UY - Spanish (Uruguay) + - es-VE - Spanish (Venezuela) + - su-ID - Sundanese (Indonesia) + - sw-KE - Swahili (Kenya) + - sw-TZ - swahili (Tanzania) + - sv-SE - Swedish + - ta-IN - Tamil (India) + - ta-MY - Tamil (Malaysia) + - ta-SG - Tamil (Singapore) + - ta-LK - Tamil (Sri Lanka) + - te-IN - Telugu + - th-TH - Thai + - tr-TR - Turkish + - uk-UA - Ukrainian + - ur-IN - Urdu (India) + - ur-PK - Urdu (Pakistan) + - uz-UZ - Uzbek + - ui-VN - Vietnamese + - zu-ZA - Zulu x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Dec 30, 2021" @@ -589,6 +589,43 @@ components: description: |+ Specify the content-type. Pick any one from below list based on input file type. ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus","audio/webm","audio/3gpp","audio/3gpp2"] + language_code: + x-name: language_code + type: string + default: true + example: en-US + description: |+ + Specify the language code of the input audio. + word_time_offsets: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable word time offsets during post-processing. Valid values - True and False. Default value - False. + automatic_punctuation: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable automatic punctuation during post-processing. Valid values - True and False. Default value - False. + profanity_filter: + type: boolean + default: false + example: false + description: |+ + Specifies whether to add profanity filter during post-processing. Valid Values - True and False. Default value - False. + spoken_punctuation: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + spoken_emojis: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. uploadinput: type: object required: From a504368ac1fc1d070780bda3846afa158684e596 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 27 Jan 2022 12:53:14 +0530 Subject: [PATCH 3513/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index cc2b1e9ab..5c322a1d5 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -9,6 +9,9 @@ info: For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + | One | Two | Three | + |-----|-----|-------| + | a | b | c | * **Supported languages are:** - af-ZA - Afrikaans - sq-AL - Albanian From c1abacb9caa5b43b330184a269a868f90a4baea3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:00:19 +0530 Subject: [PATCH 3514/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 5c322a1d5..cc2b1e9ab 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -9,9 +9,6 @@ info: For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html - | One | Two | Three | - |-----|-----|-------| - | a | b | c | * **Supported languages are:** - af-ZA - Afrikaans - sq-AL - Albanian From 091a63b3e8c1799ed13f42b8e3050e83224e53a2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:25:00 +0530 Subject: [PATCH 3515/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 149 +++---------------------------- 1 file changed, 10 insertions(+), 139 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index cc2b1e9ab..f14de26e1 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,143 +10,14 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - - af-ZA - Afrikaans - - sq-AL - Albanian - - am-ET - Amharic - - ar-DZ - Arabic (Algeria) - - ar-BH - Arabic (Bahrain) - - ar-EG - Arabic (Egypt) - - ar-IQ - Arabic (Iraq) - - ar-IL - Arabic (Israel) - - ar-JO - Arabic (Jordan) - - ar-KW - Arabic (Kuwait) - - ar-LB - Arabic (Lebanon) - - ar-MA - Arabic (Morocco) - - ar-OM - Arabic (Oman) - - ar-QA -Arabic (Qatar) - - ar-SA - Arabic (Saudi Arabia) - - ar-PS - Arabic (State of Palestine) - - ar-TN - Arabic (Tunisia) - - ar-AE - Arabic (United Arab Emirates) - - ar-YE - Arabic (Yemen) - - hy-AM - Armenian - - az-AZ - Azerbaijani - - eu-ES - Basque - - bn-BD - Bengali (Bangladesh) - - bn-IN - Bengali (India) - - bs-BA - Bosnian - - bg-BG - Bulgarian - - my-MM - Burmese - - ca-ES - Catalan - - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) - - zh - Chinese, Mandarin (Simplified, China) - - zh-TW - Chinese, Mandarin (Traditional, Taiwan) - - hr-HR - Croatian - - cs-CZ - Czech - - da-DK - Danish - - nl-BE - Dutch (Belgium) - - nl-NL - Dutch (Netherlands) - - en-AU - English (Australia) - - en-CA - English (Canada) - - en-GH - English (Ghana) - - en-HK - English (Hong Kong) - - en-IN - English (India) - - en-IE - English (Ireland) - - en-KE - Englisgh (Kenya) - - en-NZ - English ( New Zealand) - - en-NG - English ( Nigeria) - - en-PK - English (Pakistan) - - en-PH - English (Philippines) - - en-SG - English (Singapore) - - en-ZA - English (South Africa) - - en-TZ - English (Tanzania) - - en-GB - English (United Kingdom) - - en-US - English (United States) - - et-EE - Estonian - - fil-PH - Filipino - - fi-FI - Finnish - - fr-BE - French (Belgium) - - fr-CA - French (Canada) - - fr-FR - French (France) - - fr-CH - French (Switzerland) - - gl-ES - Galician - - ka-GE - Georgian - - de-AT - German (Austria) - - de-DE - German (Germany) - - de-CH - German (Switerzland) - - el-GR - Greek - - gu-IN - Gujarati - - iw-IL - Hebrew - - hi-IN - Hindi - - hu-HU - Hungarian - - is-IS - Icelandic - - id-ID - Indonesia - - it-IT - Italian (Italy) - - it-CH - Italian (Switzerland) - - ja-JP - Japanese - - jv-ID - Javanese (Indonesia) - - kn-IN - Kannada - - kk-KZ - Kazakh - - KM-kh - kHMER - - KO-KR - Korean - - lo-LA - Lao - - lv-LV - Latvian - - lt-LT - Lithuanian - - mk-MK - Macedonian - - ms-MY - Malay (Malaysia) - - ml-IN - Malayalam - - mr-IN - Marathi - - mn-MN - Mongolian - - ne-NP - Nepali - - no-NO - Norwegian - - fa-IR - Persian - = pl-PL - Polish - - pt-BR - Portuguese (Brazil) - - pt-PT - Portuguese (Portugal) - - pa-Guru-IN - Punjabi (Gurmukhi India) - - ro-RO - Romanian - - ru-RU - Russian - - sr-RS - Serbian - - si-LK - Sinhala (Sri Lanka) - - sk-SK - Slovak - - sl-SI - Slovenian - - es-AR - Spanish (Argentina) - - es-BO - Spanish (Bolivia) - - es-CL - Spanish (Chile) - - es-CO - Spanish (Colombia) - - es-CR - Spanish (Costa Rica) - - es-DO - Spanish (Dominican Republic) - - es-EC - Spanish (Ecuador) - - es-SV - Spanish (Salvador) - - es-GT - Spanish (Guatemala) - - es-HN - Spanish (Honduras) - - es-MX - Spanish (Mexico) - - es-NI - Spanish (Nicaragua) - - es-PA - Spanish (Panama) - - es-PY - Spanish (Paraguay) - - es-PE - Spanish (Peru) - - es-PR - Spanish (Puerto Rico) - - es-ES - Spanish (Spain) - - es-US - Spanish (United States) - - es-UY - Spanish (Uruguay) - - es-VE - Spanish (Venezuela) - - su-ID - Sundanese (Indonesia) - - sw-KE - Swahili (Kenya) - - sw-TZ - swahili (Tanzania) - - sv-SE - Swedish - - ta-IN - Tamil (India) - - ta-MY - Tamil (Malaysia) - - ta-SG - Tamil (Singapore) - - ta-LK - Tamil (Sri Lanka) - - te-IN - Telugu - - th-TH - Thai - - tr-TR - Turkish - - uk-UA - Ukrainian - - ur-IN - Urdu (India) - - ur-PK - Urdu (Pakistan) - - uz-UZ - Uzbek - - ui-VN - Vietnamese - - zu-ZA - Zulu + | Name | BCP-47 | Automatic punctuation | Profanity filter | Spoken punctuation | Spoken emojis | + |----------|--------|-------|------|-----|------| + | **English (Australia)** | en-AU | Yes | Yes | Yes | Yes | + | **English (India)** | en-IN | Yes | Yes | Yes | Yes | + | **English (Singapore)** | en-SG | Yes | Yes | Yes | Yes | + | **English (United Kingdom)** | en-GB | Yes | Yes | Yes | Yes | + | **English (United States)** | en-US | Yes | Yes | Yes | Yes | + | **French (France)** | fr-FR | Yes | Yes | Yes | Yes | x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' @@ -619,13 +490,13 @@ components: default: false example: false description: |+ - Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + Specifies whether to enable spoken punctuation during post-processing. Valid values - True and False. Default value - False. spoken_emojis: type: boolean default: false example: false description: |+ - Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + Specifies whether to enable spoken emojis during post-processing. Valid values - True and False. Default value - False. uploadinput: type: object required: From 091711ea834a9aa9395f33db7de9055dd62877ea Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:33:01 +0530 Subject: [PATCH 3516/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 51 +++++++++++++++++++++++++++----- 1 file changed, 43 insertions(+), 8 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index f14de26e1..c3b9c079a 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,14 +10,49 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - | Name | BCP-47 | Automatic punctuation | Profanity filter | Spoken punctuation | Spoken emojis | - |----------|--------|-------|------|-----|------| - | **English (Australia)** | en-AU | Yes | Yes | Yes | Yes | - | **English (India)** | en-IN | Yes | Yes | Yes | Yes | - | **English (Singapore)** | en-SG | Yes | Yes | Yes | Yes | - | **English (United Kingdom)** | en-GB | Yes | Yes | Yes | Yes | - | **English (United States)** | en-US | Yes | Yes | Yes | Yes | - | **French (France)** | fr-FR | Yes | Yes | Yes | Yes | + - + Name: English (Australia) + BCP-47: en-AU + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: English (India) + BCP-47: en-IN + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: English (Singapore) + BCP-47: en-SG + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: English (United Kingdom) + BCP-47: en-GB + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: English (United States) + BCP-47: en-US + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: French (France) + BCP-47: fr-FR + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From e664ac81a2c402c13f797bbc1655495683567bcb Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:37:18 +0530 Subject: [PATCH 3517/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 79 +++++++++++++++----------------- 1 file changed, 37 insertions(+), 42 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index c3b9c079a..83553a8de 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,48 +10,43 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - - - Name: English (Australia) - BCP-47: en-AU - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: English (India) - BCP-47: en-IN - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: English (Singapore) - BCP-47: en-SG - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: English (United Kingdom) - BCP-47: en-GB - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: English (United States) - BCP-47: en-US - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: French (France) - BCP-47: fr-FR - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes + - Name: English (Australia) + BCP-47: en-AU + Automatic punctuation: 'Yes' + Profanity filter: 'Yes' + Spoken punctuation: 'Yes' + Spoken emojis: 'Yes' + - Name: English (India) + BCP-47: en-IN + Automatic punctuation: 'Yes' + Profanity filter: 'Yes' + Spoken punctuation: 'Yes' + Spoken emojis: 'Yes' + - Name: English (Singapore) + BCP-47: en-SG + Automatic punctuation: 'Yes' + Profanity filter: 'Yes' + Spoken punctuation: 'Yes' + Spoken emojis: 'Yes' + - Name: English (United Kingdom) + BCP-47: en-GB + Automatic punctuation: 'Yes' + Profanity filter: 'Yes' + Spoken punctuation: 'Yes' + Spoken emojis: 'Yes' + - Name: English (United States) + BCP-47: en-US + Automatic punctuation: 'Yes' + Profanity filter: 'Yes' + Spoken punctuation: 'Yes' + Spoken emojis: 'Yes' + - Name: French (France) + BCP-47: fr-FR + Automatic punctuation: 'Yes' + Profanity filter: 'Yes' + Spoken punctuation: 'Yes' + Spoken emojis: 'Yes' + x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf From 5b6aa8046583f82730772c32bcf557cdaadd6408 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:39:15 +0530 Subject: [PATCH 3518/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 179 ++++++++++++++++++++++++------- 1 file changed, 139 insertions(+), 40 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 83553a8de..cc2b1e9ab 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,44 +10,143 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - - Name: English (Australia) - BCP-47: en-AU - Automatic punctuation: 'Yes' - Profanity filter: 'Yes' - Spoken punctuation: 'Yes' - Spoken emojis: 'Yes' - - Name: English (India) - BCP-47: en-IN - Automatic punctuation: 'Yes' - Profanity filter: 'Yes' - Spoken punctuation: 'Yes' - Spoken emojis: 'Yes' - - Name: English (Singapore) - BCP-47: en-SG - Automatic punctuation: 'Yes' - Profanity filter: 'Yes' - Spoken punctuation: 'Yes' - Spoken emojis: 'Yes' - - Name: English (United Kingdom) - BCP-47: en-GB - Automatic punctuation: 'Yes' - Profanity filter: 'Yes' - Spoken punctuation: 'Yes' - Spoken emojis: 'Yes' - - Name: English (United States) - BCP-47: en-US - Automatic punctuation: 'Yes' - Profanity filter: 'Yes' - Spoken punctuation: 'Yes' - Spoken emojis: 'Yes' - - Name: French (France) - BCP-47: fr-FR - Automatic punctuation: 'Yes' - Profanity filter: 'Yes' - Spoken punctuation: 'Yes' - Spoken emojis: 'Yes' - - + - af-ZA - Afrikaans + - sq-AL - Albanian + - am-ET - Amharic + - ar-DZ - Arabic (Algeria) + - ar-BH - Arabic (Bahrain) + - ar-EG - Arabic (Egypt) + - ar-IQ - Arabic (Iraq) + - ar-IL - Arabic (Israel) + - ar-JO - Arabic (Jordan) + - ar-KW - Arabic (Kuwait) + - ar-LB - Arabic (Lebanon) + - ar-MA - Arabic (Morocco) + - ar-OM - Arabic (Oman) + - ar-QA -Arabic (Qatar) + - ar-SA - Arabic (Saudi Arabia) + - ar-PS - Arabic (State of Palestine) + - ar-TN - Arabic (Tunisia) + - ar-AE - Arabic (United Arab Emirates) + - ar-YE - Arabic (Yemen) + - hy-AM - Armenian + - az-AZ - Azerbaijani + - eu-ES - Basque + - bn-BD - Bengali (Bangladesh) + - bn-IN - Bengali (India) + - bs-BA - Bosnian + - bg-BG - Bulgarian + - my-MM - Burmese + - ca-ES - Catalan + - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) + - zh - Chinese, Mandarin (Simplified, China) + - zh-TW - Chinese, Mandarin (Traditional, Taiwan) + - hr-HR - Croatian + - cs-CZ - Czech + - da-DK - Danish + - nl-BE - Dutch (Belgium) + - nl-NL - Dutch (Netherlands) + - en-AU - English (Australia) + - en-CA - English (Canada) + - en-GH - English (Ghana) + - en-HK - English (Hong Kong) + - en-IN - English (India) + - en-IE - English (Ireland) + - en-KE - Englisgh (Kenya) + - en-NZ - English ( New Zealand) + - en-NG - English ( Nigeria) + - en-PK - English (Pakistan) + - en-PH - English (Philippines) + - en-SG - English (Singapore) + - en-ZA - English (South Africa) + - en-TZ - English (Tanzania) + - en-GB - English (United Kingdom) + - en-US - English (United States) + - et-EE - Estonian + - fil-PH - Filipino + - fi-FI - Finnish + - fr-BE - French (Belgium) + - fr-CA - French (Canada) + - fr-FR - French (France) + - fr-CH - French (Switzerland) + - gl-ES - Galician + - ka-GE - Georgian + - de-AT - German (Austria) + - de-DE - German (Germany) + - de-CH - German (Switerzland) + - el-GR - Greek + - gu-IN - Gujarati + - iw-IL - Hebrew + - hi-IN - Hindi + - hu-HU - Hungarian + - is-IS - Icelandic + - id-ID - Indonesia + - it-IT - Italian (Italy) + - it-CH - Italian (Switzerland) + - ja-JP - Japanese + - jv-ID - Javanese (Indonesia) + - kn-IN - Kannada + - kk-KZ - Kazakh + - KM-kh - kHMER + - KO-KR - Korean + - lo-LA - Lao + - lv-LV - Latvian + - lt-LT - Lithuanian + - mk-MK - Macedonian + - ms-MY - Malay (Malaysia) + - ml-IN - Malayalam + - mr-IN - Marathi + - mn-MN - Mongolian + - ne-NP - Nepali + - no-NO - Norwegian + - fa-IR - Persian + = pl-PL - Polish + - pt-BR - Portuguese (Brazil) + - pt-PT - Portuguese (Portugal) + - pa-Guru-IN - Punjabi (Gurmukhi India) + - ro-RO - Romanian + - ru-RU - Russian + - sr-RS - Serbian + - si-LK - Sinhala (Sri Lanka) + - sk-SK - Slovak + - sl-SI - Slovenian + - es-AR - Spanish (Argentina) + - es-BO - Spanish (Bolivia) + - es-CL - Spanish (Chile) + - es-CO - Spanish (Colombia) + - es-CR - Spanish (Costa Rica) + - es-DO - Spanish (Dominican Republic) + - es-EC - Spanish (Ecuador) + - es-SV - Spanish (Salvador) + - es-GT - Spanish (Guatemala) + - es-HN - Spanish (Honduras) + - es-MX - Spanish (Mexico) + - es-NI - Spanish (Nicaragua) + - es-PA - Spanish (Panama) + - es-PY - Spanish (Paraguay) + - es-PE - Spanish (Peru) + - es-PR - Spanish (Puerto Rico) + - es-ES - Spanish (Spain) + - es-US - Spanish (United States) + - es-UY - Spanish (Uruguay) + - es-VE - Spanish (Venezuela) + - su-ID - Sundanese (Indonesia) + - sw-KE - Swahili (Kenya) + - sw-TZ - swahili (Tanzania) + - sv-SE - Swedish + - ta-IN - Tamil (India) + - ta-MY - Tamil (Malaysia) + - ta-SG - Tamil (Singapore) + - ta-LK - Tamil (Sri Lanka) + - te-IN - Telugu + - th-TH - Thai + - tr-TR - Turkish + - uk-UA - Ukrainian + - ur-IN - Urdu (India) + - ur-PK - Urdu (Pakistan) + - uz-UZ - Uzbek + - ui-VN - Vietnamese + - zu-ZA - Zulu x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' @@ -520,13 +619,13 @@ components: default: false example: false description: |+ - Specifies whether to enable spoken punctuation during post-processing. Valid values - True and False. Default value - False. + Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. spoken_emojis: type: boolean default: false example: false description: |+ - Specifies whether to enable spoken emojis during post-processing. Valid values - True and False. Default value - False. + Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. uploadinput: type: object required: From 3051f710fd6f3e157419dd3fe64aa663d04a79be Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:42:52 +0530 Subject: [PATCH 3519/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 194 +++++++++---------------------- 1 file changed, 54 insertions(+), 140 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index cc2b1e9ab..7493648e7 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,143 +10,57 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - - af-ZA - Afrikaans - - sq-AL - Albanian - - am-ET - Amharic - - ar-DZ - Arabic (Algeria) - - ar-BH - Arabic (Bahrain) - - ar-EG - Arabic (Egypt) - - ar-IQ - Arabic (Iraq) - - ar-IL - Arabic (Israel) - - ar-JO - Arabic (Jordan) - - ar-KW - Arabic (Kuwait) - - ar-LB - Arabic (Lebanon) - - ar-MA - Arabic (Morocco) - - ar-OM - Arabic (Oman) - - ar-QA -Arabic (Qatar) - - ar-SA - Arabic (Saudi Arabia) - - ar-PS - Arabic (State of Palestine) - - ar-TN - Arabic (Tunisia) - - ar-AE - Arabic (United Arab Emirates) - - ar-YE - Arabic (Yemen) - - hy-AM - Armenian - - az-AZ - Azerbaijani - - eu-ES - Basque - - bn-BD - Bengali (Bangladesh) - - bn-IN - Bengali (India) - - bs-BA - Bosnian - - bg-BG - Bulgarian - - my-MM - Burmese - - ca-ES - Catalan - - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) - - zh - Chinese, Mandarin (Simplified, China) - - zh-TW - Chinese, Mandarin (Traditional, Taiwan) - - hr-HR - Croatian - - cs-CZ - Czech - - da-DK - Danish - - nl-BE - Dutch (Belgium) - - nl-NL - Dutch (Netherlands) - - en-AU - English (Australia) - - en-CA - English (Canada) - - en-GH - English (Ghana) - - en-HK - English (Hong Kong) - - en-IN - English (India) - - en-IE - English (Ireland) - - en-KE - Englisgh (Kenya) - - en-NZ - English ( New Zealand) - - en-NG - English ( Nigeria) - - en-PK - English (Pakistan) - - en-PH - English (Philippines) - - en-SG - English (Singapore) - - en-ZA - English (South Africa) - - en-TZ - English (Tanzania) - - en-GB - English (United Kingdom) - - en-US - English (United States) - - et-EE - Estonian - - fil-PH - Filipino - - fi-FI - Finnish - - fr-BE - French (Belgium) - - fr-CA - French (Canada) - - fr-FR - French (France) - - fr-CH - French (Switzerland) - - gl-ES - Galician - - ka-GE - Georgian - - de-AT - German (Austria) - - de-DE - German (Germany) - - de-CH - German (Switerzland) - - el-GR - Greek - - gu-IN - Gujarati - - iw-IL - Hebrew - - hi-IN - Hindi - - hu-HU - Hungarian - - is-IS - Icelandic - - id-ID - Indonesia - - it-IT - Italian (Italy) - - it-CH - Italian (Switzerland) - - ja-JP - Japanese - - jv-ID - Javanese (Indonesia) - - kn-IN - Kannada - - kk-KZ - Kazakh - - KM-kh - kHMER - - KO-KR - Korean - - lo-LA - Lao - - lv-LV - Latvian - - lt-LT - Lithuanian - - mk-MK - Macedonian - - ms-MY - Malay (Malaysia) - - ml-IN - Malayalam - - mr-IN - Marathi - - mn-MN - Mongolian - - ne-NP - Nepali - - no-NO - Norwegian - - fa-IR - Persian - = pl-PL - Polish - - pt-BR - Portuguese (Brazil) - - pt-PT - Portuguese (Portugal) - - pa-Guru-IN - Punjabi (Gurmukhi India) - - ro-RO - Romanian - - ru-RU - Russian - - sr-RS - Serbian - - si-LK - Sinhala (Sri Lanka) - - sk-SK - Slovak - - sl-SI - Slovenian - - es-AR - Spanish (Argentina) - - es-BO - Spanish (Bolivia) - - es-CL - Spanish (Chile) - - es-CO - Spanish (Colombia) - - es-CR - Spanish (Costa Rica) - - es-DO - Spanish (Dominican Republic) - - es-EC - Spanish (Ecuador) - - es-SV - Spanish (Salvador) - - es-GT - Spanish (Guatemala) - - es-HN - Spanish (Honduras) - - es-MX - Spanish (Mexico) - - es-NI - Spanish (Nicaragua) - - es-PA - Spanish (Panama) - - es-PY - Spanish (Paraguay) - - es-PE - Spanish (Peru) - - es-PR - Spanish (Puerto Rico) - - es-ES - Spanish (Spain) - - es-US - Spanish (United States) - - es-UY - Spanish (Uruguay) - - es-VE - Spanish (Venezuela) - - su-ID - Sundanese (Indonesia) - - sw-KE - Swahili (Kenya) - - sw-TZ - swahili (Tanzania) - - sv-SE - Swedish - - ta-IN - Tamil (India) - - ta-MY - Tamil (Malaysia) - - ta-SG - Tamil (Singapore) - - ta-LK - Tamil (Sri Lanka) - - te-IN - Telugu - - th-TH - Thai - - tr-TR - Turkish - - uk-UA - Ukrainian - - ur-IN - Urdu (India) - - ur-PK - Urdu (Pakistan) - - uz-UZ - Uzbek - - ui-VN - Vietnamese - - zu-ZA - Zulu + root: + rows: + - + col1: Name + col2: "BCP-47" + col3: "Automatic punctuation" + col4: "Profanity filter" + col5: "Spoken punctuation" + col6: "Spoken emojis" + - + col1: "English (Australia)" + col2: "en-AU" + col3: Yes + col4: Yes + col5: Yes + col6: Yes + - + col1: "English (India)" + col2: "en-IN" + col3: Yes + col4: Yes + col5: Yes + col6: Yes + - + col1: "English (Singapore)" + col2: "en-SG" + col3: Yes + col4: Yes + col5: Yes + col6: Yes + - + col1: "English (United Kingdom)" + col2: "en-GB" + col3: Yes + col4: Yes + col5: Yes + col6: Yes + - + col1: "English (United States)" + col2: "en-US" + col3: Yes + col4: Yes + col5: Yes + col6: Yes + - + col1: "French (France)" + col2: "fr-FR" + col3: Yes + col4: Yes + col5: Yes + col6: Yes x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' @@ -619,13 +533,13 @@ components: default: false example: false description: |+ - Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + Specifies whether to enable spoken punctuation during post-processing. Valid values - True and False. Default value - False. spoken_emojis: type: boolean default: false example: false description: |+ - Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + Specifies whether to enable spoken emojis during post-processing. Valid values - True and False. Default value - False. uploadinput: type: object required: @@ -703,4 +617,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + description: Authentication is done using the x-api-key in the request header. From 04dfd640337ad4e3c0e61e245277842147ce5155 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:48:18 +0530 Subject: [PATCH 3520/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 57 ++++---------------------------- 1 file changed, 6 insertions(+), 51 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 7493648e7..1f3942d4b 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,57 +10,12 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - root: - rows: - - - col1: Name - col2: "BCP-47" - col3: "Automatic punctuation" - col4: "Profanity filter" - col5: "Spoken punctuation" - col6: "Spoken emojis" - - - col1: "English (Australia)" - col2: "en-AU" - col3: Yes - col4: Yes - col5: Yes - col6: Yes - - - col1: "English (India)" - col2: "en-IN" - col3: Yes - col4: Yes - col5: Yes - col6: Yes - - - col1: "English (Singapore)" - col2: "en-SG" - col3: Yes - col4: Yes - col5: Yes - col6: Yes - - - col1: "English (United Kingdom)" - col2: "en-GB" - col3: Yes - col4: Yes - col5: Yes - col6: Yes - - - col1: "English (United States)" - col2: "en-US" - col3: Yes - col4: Yes - col5: Yes - col6: Yes - - - col1: "French (France)" - col2: "fr-FR" - col3: Yes - col4: Yes - col5: Yes - col6: Yes + Groups: + ATeam: + - [FirstName, LastName, Height] + - [Joe, Soap, 184] + - [Mary, Ryan, 169] + - [Alex, Dole, 174] x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From d1e833112637b32a88de5665ef7532f7340c9f95 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:48:39 +0530 Subject: [PATCH 3521/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 149 +++++++++++++++++++++++++++++-- 1 file changed, 140 insertions(+), 9 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 1f3942d4b..cc2b1e9ab 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,12 +10,143 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - Groups: - ATeam: - - [FirstName, LastName, Height] - - [Joe, Soap, 184] - - [Mary, Ryan, 169] - - [Alex, Dole, 174] + - af-ZA - Afrikaans + - sq-AL - Albanian + - am-ET - Amharic + - ar-DZ - Arabic (Algeria) + - ar-BH - Arabic (Bahrain) + - ar-EG - Arabic (Egypt) + - ar-IQ - Arabic (Iraq) + - ar-IL - Arabic (Israel) + - ar-JO - Arabic (Jordan) + - ar-KW - Arabic (Kuwait) + - ar-LB - Arabic (Lebanon) + - ar-MA - Arabic (Morocco) + - ar-OM - Arabic (Oman) + - ar-QA -Arabic (Qatar) + - ar-SA - Arabic (Saudi Arabia) + - ar-PS - Arabic (State of Palestine) + - ar-TN - Arabic (Tunisia) + - ar-AE - Arabic (United Arab Emirates) + - ar-YE - Arabic (Yemen) + - hy-AM - Armenian + - az-AZ - Azerbaijani + - eu-ES - Basque + - bn-BD - Bengali (Bangladesh) + - bn-IN - Bengali (India) + - bs-BA - Bosnian + - bg-BG - Bulgarian + - my-MM - Burmese + - ca-ES - Catalan + - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) + - zh - Chinese, Mandarin (Simplified, China) + - zh-TW - Chinese, Mandarin (Traditional, Taiwan) + - hr-HR - Croatian + - cs-CZ - Czech + - da-DK - Danish + - nl-BE - Dutch (Belgium) + - nl-NL - Dutch (Netherlands) + - en-AU - English (Australia) + - en-CA - English (Canada) + - en-GH - English (Ghana) + - en-HK - English (Hong Kong) + - en-IN - English (India) + - en-IE - English (Ireland) + - en-KE - Englisgh (Kenya) + - en-NZ - English ( New Zealand) + - en-NG - English ( Nigeria) + - en-PK - English (Pakistan) + - en-PH - English (Philippines) + - en-SG - English (Singapore) + - en-ZA - English (South Africa) + - en-TZ - English (Tanzania) + - en-GB - English (United Kingdom) + - en-US - English (United States) + - et-EE - Estonian + - fil-PH - Filipino + - fi-FI - Finnish + - fr-BE - French (Belgium) + - fr-CA - French (Canada) + - fr-FR - French (France) + - fr-CH - French (Switzerland) + - gl-ES - Galician + - ka-GE - Georgian + - de-AT - German (Austria) + - de-DE - German (Germany) + - de-CH - German (Switerzland) + - el-GR - Greek + - gu-IN - Gujarati + - iw-IL - Hebrew + - hi-IN - Hindi + - hu-HU - Hungarian + - is-IS - Icelandic + - id-ID - Indonesia + - it-IT - Italian (Italy) + - it-CH - Italian (Switzerland) + - ja-JP - Japanese + - jv-ID - Javanese (Indonesia) + - kn-IN - Kannada + - kk-KZ - Kazakh + - KM-kh - kHMER + - KO-KR - Korean + - lo-LA - Lao + - lv-LV - Latvian + - lt-LT - Lithuanian + - mk-MK - Macedonian + - ms-MY - Malay (Malaysia) + - ml-IN - Malayalam + - mr-IN - Marathi + - mn-MN - Mongolian + - ne-NP - Nepali + - no-NO - Norwegian + - fa-IR - Persian + = pl-PL - Polish + - pt-BR - Portuguese (Brazil) + - pt-PT - Portuguese (Portugal) + - pa-Guru-IN - Punjabi (Gurmukhi India) + - ro-RO - Romanian + - ru-RU - Russian + - sr-RS - Serbian + - si-LK - Sinhala (Sri Lanka) + - sk-SK - Slovak + - sl-SI - Slovenian + - es-AR - Spanish (Argentina) + - es-BO - Spanish (Bolivia) + - es-CL - Spanish (Chile) + - es-CO - Spanish (Colombia) + - es-CR - Spanish (Costa Rica) + - es-DO - Spanish (Dominican Republic) + - es-EC - Spanish (Ecuador) + - es-SV - Spanish (Salvador) + - es-GT - Spanish (Guatemala) + - es-HN - Spanish (Honduras) + - es-MX - Spanish (Mexico) + - es-NI - Spanish (Nicaragua) + - es-PA - Spanish (Panama) + - es-PY - Spanish (Paraguay) + - es-PE - Spanish (Peru) + - es-PR - Spanish (Puerto Rico) + - es-ES - Spanish (Spain) + - es-US - Spanish (United States) + - es-UY - Spanish (Uruguay) + - es-VE - Spanish (Venezuela) + - su-ID - Sundanese (Indonesia) + - sw-KE - Swahili (Kenya) + - sw-TZ - swahili (Tanzania) + - sv-SE - Swedish + - ta-IN - Tamil (India) + - ta-MY - Tamil (Malaysia) + - ta-SG - Tamil (Singapore) + - ta-LK - Tamil (Sri Lanka) + - te-IN - Telugu + - th-TH - Thai + - tr-TR - Turkish + - uk-UA - Ukrainian + - ur-IN - Urdu (India) + - ur-PK - Urdu (Pakistan) + - uz-UZ - Uzbek + - ui-VN - Vietnamese + - zu-ZA - Zulu x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' @@ -488,13 +619,13 @@ components: default: false example: false description: |+ - Specifies whether to enable spoken punctuation during post-processing. Valid values - True and False. Default value - False. + Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. spoken_emojis: type: boolean default: false example: false description: |+ - Specifies whether to enable spoken emojis during post-processing. Valid values - True and False. Default value - False. + Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. uploadinput: type: object required: @@ -572,4 +703,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. + description: Authentication is done using the x-api-key in the request header From e3428c2832d2021437ab5d16c049b0cddaf26b8f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:49:34 +0530 Subject: [PATCH 3522/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 149 +++---------------------------- 1 file changed, 12 insertions(+), 137 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index cc2b1e9ab..54a639b4a 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,143 +10,18 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - - af-ZA - Afrikaans - - sq-AL - Albanian - - am-ET - Amharic - - ar-DZ - Arabic (Algeria) - - ar-BH - Arabic (Bahrain) - - ar-EG - Arabic (Egypt) - - ar-IQ - Arabic (Iraq) - - ar-IL - Arabic (Israel) - - ar-JO - Arabic (Jordan) - - ar-KW - Arabic (Kuwait) - - ar-LB - Arabic (Lebanon) - - ar-MA - Arabic (Morocco) - - ar-OM - Arabic (Oman) - - ar-QA -Arabic (Qatar) - - ar-SA - Arabic (Saudi Arabia) - - ar-PS - Arabic (State of Palestine) - - ar-TN - Arabic (Tunisia) - - ar-AE - Arabic (United Arab Emirates) - - ar-YE - Arabic (Yemen) - - hy-AM - Armenian - - az-AZ - Azerbaijani - - eu-ES - Basque - - bn-BD - Bengali (Bangladesh) - - bn-IN - Bengali (India) - - bs-BA - Bosnian - - bg-BG - Bulgarian - - my-MM - Burmese - - ca-ES - Catalan - - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) - - zh - Chinese, Mandarin (Simplified, China) - - zh-TW - Chinese, Mandarin (Traditional, Taiwan) - - hr-HR - Croatian - - cs-CZ - Czech - - da-DK - Danish - - nl-BE - Dutch (Belgium) - - nl-NL - Dutch (Netherlands) - - en-AU - English (Australia) - - en-CA - English (Canada) - - en-GH - English (Ghana) - - en-HK - English (Hong Kong) - - en-IN - English (India) - - en-IE - English (Ireland) - - en-KE - Englisgh (Kenya) - - en-NZ - English ( New Zealand) - - en-NG - English ( Nigeria) - - en-PK - English (Pakistan) - - en-PH - English (Philippines) - - en-SG - English (Singapore) - - en-ZA - English (South Africa) - - en-TZ - English (Tanzania) - - en-GB - English (United Kingdom) - - en-US - English (United States) - - et-EE - Estonian - - fil-PH - Filipino - - fi-FI - Finnish - - fr-BE - French (Belgium) - - fr-CA - French (Canada) - - fr-FR - French (France) - - fr-CH - French (Switzerland) - - gl-ES - Galician - - ka-GE - Georgian - - de-AT - German (Austria) - - de-DE - German (Germany) - - de-CH - German (Switerzland) - - el-GR - Greek - - gu-IN - Gujarati - - iw-IL - Hebrew - - hi-IN - Hindi - - hu-HU - Hungarian - - is-IS - Icelandic - - id-ID - Indonesia - - it-IT - Italian (Italy) - - it-CH - Italian (Switzerland) - - ja-JP - Japanese - - jv-ID - Javanese (Indonesia) - - kn-IN - Kannada - - kk-KZ - Kazakh - - KM-kh - kHMER - - KO-KR - Korean - - lo-LA - Lao - - lv-LV - Latvian - - lt-LT - Lithuanian - - mk-MK - Macedonian - - ms-MY - Malay (Malaysia) - - ml-IN - Malayalam - - mr-IN - Marathi - - mn-MN - Mongolian - - ne-NP - Nepali - - no-NO - Norwegian - - fa-IR - Persian - = pl-PL - Polish - - pt-BR - Portuguese (Brazil) - - pt-PT - Portuguese (Portugal) - - pa-Guru-IN - Punjabi (Gurmukhi India) - - ro-RO - Romanian - - ru-RU - Russian - - sr-RS - Serbian - - si-LK - Sinhala (Sri Lanka) - - sk-SK - Slovak - - sl-SI - Slovenian - - es-AR - Spanish (Argentina) - - es-BO - Spanish (Bolivia) - - es-CL - Spanish (Chile) - - es-CO - Spanish (Colombia) - - es-CR - Spanish (Costa Rica) - - es-DO - Spanish (Dominican Republic) - - es-EC - Spanish (Ecuador) - - es-SV - Spanish (Salvador) - - es-GT - Spanish (Guatemala) - - es-HN - Spanish (Honduras) - - es-MX - Spanish (Mexico) - - es-NI - Spanish (Nicaragua) - - es-PA - Spanish (Panama) - - es-PY - Spanish (Paraguay) - - es-PE - Spanish (Peru) - - es-PR - Spanish (Puerto Rico) - - es-ES - Spanish (Spain) - - es-US - Spanish (United States) - - es-UY - Spanish (Uruguay) - - es-VE - Spanish (Venezuela) - - su-ID - Sundanese (Indonesia) - - sw-KE - Swahili (Kenya) - - sw-TZ - swahili (Tanzania) - - sv-SE - Swedish - - ta-IN - Tamil (India) - - ta-MY - Tamil (Malaysia) - - ta-SG - Tamil (Singapore) - - ta-LK - Tamil (Sri Lanka) - - te-IN - Telugu - - th-TH - Thai - - tr-TR - Turkish - - uk-UA - Ukrainian - - ur-IN - Urdu (India) - - ur-PK - Urdu (Pakistan) - - uz-UZ - Uzbek - - ui-VN - Vietnamese - - zu-ZA - Zulu + +------------+----------+--------+------------+ + | Date | Range | Pr | Expiration | + +------------+----------+--------+------------+ + | 2016-01-04 | [-2, 20] | 0.9 | | + | 2016-01-04 | [-2, 20] | 0.9 | | + | 2016-01-07 | | | | + | 2016-01-04 | | [0, 3] | | + | 2015-12-25 | [-1, 2] | 0.8 | | + | 2015-12-23 | [0, 7] | 0.2 | 2015-12-23 | + | 2016-01-04 | [-∞, 12] | 0.12 | 2015-12-31 | + | 2015-12-28 | | | | + +------------+----------+--------+------------+ x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From d326a1ce8a538fc994b9c8bcb8a33281c7d3dd60 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:53:45 +0530 Subject: [PATCH 3523/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 149 ++++++++++++++++++++++++++++--- 1 file changed, 137 insertions(+), 12 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 54a639b4a..cc2b1e9ab 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,18 +10,143 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - +------------+----------+--------+------------+ - | Date | Range | Pr | Expiration | - +------------+----------+--------+------------+ - | 2016-01-04 | [-2, 20] | 0.9 | | - | 2016-01-04 | [-2, 20] | 0.9 | | - | 2016-01-07 | | | | - | 2016-01-04 | | [0, 3] | | - | 2015-12-25 | [-1, 2] | 0.8 | | - | 2015-12-23 | [0, 7] | 0.2 | 2015-12-23 | - | 2016-01-04 | [-∞, 12] | 0.12 | 2015-12-31 | - | 2015-12-28 | | | | - +------------+----------+--------+------------+ + - af-ZA - Afrikaans + - sq-AL - Albanian + - am-ET - Amharic + - ar-DZ - Arabic (Algeria) + - ar-BH - Arabic (Bahrain) + - ar-EG - Arabic (Egypt) + - ar-IQ - Arabic (Iraq) + - ar-IL - Arabic (Israel) + - ar-JO - Arabic (Jordan) + - ar-KW - Arabic (Kuwait) + - ar-LB - Arabic (Lebanon) + - ar-MA - Arabic (Morocco) + - ar-OM - Arabic (Oman) + - ar-QA -Arabic (Qatar) + - ar-SA - Arabic (Saudi Arabia) + - ar-PS - Arabic (State of Palestine) + - ar-TN - Arabic (Tunisia) + - ar-AE - Arabic (United Arab Emirates) + - ar-YE - Arabic (Yemen) + - hy-AM - Armenian + - az-AZ - Azerbaijani + - eu-ES - Basque + - bn-BD - Bengali (Bangladesh) + - bn-IN - Bengali (India) + - bs-BA - Bosnian + - bg-BG - Bulgarian + - my-MM - Burmese + - ca-ES - Catalan + - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) + - zh - Chinese, Mandarin (Simplified, China) + - zh-TW - Chinese, Mandarin (Traditional, Taiwan) + - hr-HR - Croatian + - cs-CZ - Czech + - da-DK - Danish + - nl-BE - Dutch (Belgium) + - nl-NL - Dutch (Netherlands) + - en-AU - English (Australia) + - en-CA - English (Canada) + - en-GH - English (Ghana) + - en-HK - English (Hong Kong) + - en-IN - English (India) + - en-IE - English (Ireland) + - en-KE - Englisgh (Kenya) + - en-NZ - English ( New Zealand) + - en-NG - English ( Nigeria) + - en-PK - English (Pakistan) + - en-PH - English (Philippines) + - en-SG - English (Singapore) + - en-ZA - English (South Africa) + - en-TZ - English (Tanzania) + - en-GB - English (United Kingdom) + - en-US - English (United States) + - et-EE - Estonian + - fil-PH - Filipino + - fi-FI - Finnish + - fr-BE - French (Belgium) + - fr-CA - French (Canada) + - fr-FR - French (France) + - fr-CH - French (Switzerland) + - gl-ES - Galician + - ka-GE - Georgian + - de-AT - German (Austria) + - de-DE - German (Germany) + - de-CH - German (Switerzland) + - el-GR - Greek + - gu-IN - Gujarati + - iw-IL - Hebrew + - hi-IN - Hindi + - hu-HU - Hungarian + - is-IS - Icelandic + - id-ID - Indonesia + - it-IT - Italian (Italy) + - it-CH - Italian (Switzerland) + - ja-JP - Japanese + - jv-ID - Javanese (Indonesia) + - kn-IN - Kannada + - kk-KZ - Kazakh + - KM-kh - kHMER + - KO-KR - Korean + - lo-LA - Lao + - lv-LV - Latvian + - lt-LT - Lithuanian + - mk-MK - Macedonian + - ms-MY - Malay (Malaysia) + - ml-IN - Malayalam + - mr-IN - Marathi + - mn-MN - Mongolian + - ne-NP - Nepali + - no-NO - Norwegian + - fa-IR - Persian + = pl-PL - Polish + - pt-BR - Portuguese (Brazil) + - pt-PT - Portuguese (Portugal) + - pa-Guru-IN - Punjabi (Gurmukhi India) + - ro-RO - Romanian + - ru-RU - Russian + - sr-RS - Serbian + - si-LK - Sinhala (Sri Lanka) + - sk-SK - Slovak + - sl-SI - Slovenian + - es-AR - Spanish (Argentina) + - es-BO - Spanish (Bolivia) + - es-CL - Spanish (Chile) + - es-CO - Spanish (Colombia) + - es-CR - Spanish (Costa Rica) + - es-DO - Spanish (Dominican Republic) + - es-EC - Spanish (Ecuador) + - es-SV - Spanish (Salvador) + - es-GT - Spanish (Guatemala) + - es-HN - Spanish (Honduras) + - es-MX - Spanish (Mexico) + - es-NI - Spanish (Nicaragua) + - es-PA - Spanish (Panama) + - es-PY - Spanish (Paraguay) + - es-PE - Spanish (Peru) + - es-PR - Spanish (Puerto Rico) + - es-ES - Spanish (Spain) + - es-US - Spanish (United States) + - es-UY - Spanish (Uruguay) + - es-VE - Spanish (Venezuela) + - su-ID - Sundanese (Indonesia) + - sw-KE - Swahili (Kenya) + - sw-TZ - swahili (Tanzania) + - sv-SE - Swedish + - ta-IN - Tamil (India) + - ta-MY - Tamil (Malaysia) + - ta-SG - Tamil (Singapore) + - ta-LK - Tamil (Sri Lanka) + - te-IN - Telugu + - th-TH - Thai + - tr-TR - Turkish + - uk-UA - Ukrainian + - ur-IN - Urdu (India) + - ur-PK - Urdu (Pakistan) + - uz-UZ - Uzbek + - ui-VN - Vietnamese + - zu-ZA - Zulu x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From 6c7eaf7b5f0dcd45e85fd7c4e522dda742eee70d Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 27 Jan 2022 20:13:13 +1100 Subject: [PATCH 3524/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 9d80197d0..0ec319f84 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -3,7 +3,7 @@ info: title: LTA Traffic Images x-subscribelink: lta_traffic_images description: |+ - This Data microservice returns links to images of live traffic conditions along expressways and Woodlands & Tuas Checkpoints. Updates every 1 to 5 minutes or whenever there are updates. + This Data microservice returns links to images of live traffic conditions along expressways and Woodlands & Tuas Checkpoints. Updates every 2 minutes. This microservice contains information from LTA Datamall's Traffic Images dataset which is made available under the terms of the[Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). x-additionalinfo : |+ **Match Types:** @@ -28,7 +28,7 @@ info: > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-26T17:00:00","lte": "2021-11-26T18:00:00"}}}]} **Generate Presigned URL:** - Traffic images are stored in GCP location. To access the image need to generate the presigned URL. + Traffic images are stored in GCS location. To access the image need to generate the presigned URL. **End Point** - https://dev-apis.sentient.io/microservices/data/ltapresignedurl/v0/getdata **Input Example** - {"image_link": "gs://lta_data/trafficimages/1501_20211022_194451.jpg"} version: '0.1.0' @@ -337,14 +337,14 @@ components: type: boolean default: false example: false - description: It returns the hourly aggregation of no of incidents. Input should be true/false, default is false. + description: It returns the hourly aggregation of no of camera images. Input should be true/false, default is false. collapse: type: boolean default: false example: false description: |+ - It returns the last updated data alone based on time. Input should be true/false, default is false. collapse key - is not used for aggregation data. + It returns the last updated data alone based on time. Input should be true/false, default is false. Collapse key + cannot be used along with aggregation data. filter: type: array default: false From 8c25e25426ae321cf1ada56200924a5e21b8a46b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 27 Jan 2022 14:49:11 +0530 Subject: [PATCH 3525/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index cc2b1e9ab..90abf8175 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -8,7 +8,7 @@ info: - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html * **Supported languages are:** - af-ZA - Afrikaans - sq-AL - Albanian From 52351986a490da879681bf02f28769feaaec8034 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 14:49:31 +0530 Subject: [PATCH 3526/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 186 ++++++++----------------------- 1 file changed, 46 insertions(+), 140 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 90abf8175..c3b9c079a 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -8,145 +8,51 @@ info: - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - - af-ZA - Afrikaans - - sq-AL - Albanian - - am-ET - Amharic - - ar-DZ - Arabic (Algeria) - - ar-BH - Arabic (Bahrain) - - ar-EG - Arabic (Egypt) - - ar-IQ - Arabic (Iraq) - - ar-IL - Arabic (Israel) - - ar-JO - Arabic (Jordan) - - ar-KW - Arabic (Kuwait) - - ar-LB - Arabic (Lebanon) - - ar-MA - Arabic (Morocco) - - ar-OM - Arabic (Oman) - - ar-QA -Arabic (Qatar) - - ar-SA - Arabic (Saudi Arabia) - - ar-PS - Arabic (State of Palestine) - - ar-TN - Arabic (Tunisia) - - ar-AE - Arabic (United Arab Emirates) - - ar-YE - Arabic (Yemen) - - hy-AM - Armenian - - az-AZ - Azerbaijani - - eu-ES - Basque - - bn-BD - Bengali (Bangladesh) - - bn-IN - Bengali (India) - - bs-BA - Bosnian - - bg-BG - Bulgarian - - my-MM - Burmese - - ca-ES - Catalan - - yue-Hant-HK - Chinese, Cantonese (Traditional Hong Kong) - - zh - Chinese, Mandarin (Simplified, China) - - zh-TW - Chinese, Mandarin (Traditional, Taiwan) - - hr-HR - Croatian - - cs-CZ - Czech - - da-DK - Danish - - nl-BE - Dutch (Belgium) - - nl-NL - Dutch (Netherlands) - - en-AU - English (Australia) - - en-CA - English (Canada) - - en-GH - English (Ghana) - - en-HK - English (Hong Kong) - - en-IN - English (India) - - en-IE - English (Ireland) - - en-KE - Englisgh (Kenya) - - en-NZ - English ( New Zealand) - - en-NG - English ( Nigeria) - - en-PK - English (Pakistan) - - en-PH - English (Philippines) - - en-SG - English (Singapore) - - en-ZA - English (South Africa) - - en-TZ - English (Tanzania) - - en-GB - English (United Kingdom) - - en-US - English (United States) - - et-EE - Estonian - - fil-PH - Filipino - - fi-FI - Finnish - - fr-BE - French (Belgium) - - fr-CA - French (Canada) - - fr-FR - French (France) - - fr-CH - French (Switzerland) - - gl-ES - Galician - - ka-GE - Georgian - - de-AT - German (Austria) - - de-DE - German (Germany) - - de-CH - German (Switerzland) - - el-GR - Greek - - gu-IN - Gujarati - - iw-IL - Hebrew - - hi-IN - Hindi - - hu-HU - Hungarian - - is-IS - Icelandic - - id-ID - Indonesia - - it-IT - Italian (Italy) - - it-CH - Italian (Switzerland) - - ja-JP - Japanese - - jv-ID - Javanese (Indonesia) - - kn-IN - Kannada - - kk-KZ - Kazakh - - KM-kh - kHMER - - KO-KR - Korean - - lo-LA - Lao - - lv-LV - Latvian - - lt-LT - Lithuanian - - mk-MK - Macedonian - - ms-MY - Malay (Malaysia) - - ml-IN - Malayalam - - mr-IN - Marathi - - mn-MN - Mongolian - - ne-NP - Nepali - - no-NO - Norwegian - - fa-IR - Persian - = pl-PL - Polish - - pt-BR - Portuguese (Brazil) - - pt-PT - Portuguese (Portugal) - - pa-Guru-IN - Punjabi (Gurmukhi India) - - ro-RO - Romanian - - ru-RU - Russian - - sr-RS - Serbian - - si-LK - Sinhala (Sri Lanka) - - sk-SK - Slovak - - sl-SI - Slovenian - - es-AR - Spanish (Argentina) - - es-BO - Spanish (Bolivia) - - es-CL - Spanish (Chile) - - es-CO - Spanish (Colombia) - - es-CR - Spanish (Costa Rica) - - es-DO - Spanish (Dominican Republic) - - es-EC - Spanish (Ecuador) - - es-SV - Spanish (Salvador) - - es-GT - Spanish (Guatemala) - - es-HN - Spanish (Honduras) - - es-MX - Spanish (Mexico) - - es-NI - Spanish (Nicaragua) - - es-PA - Spanish (Panama) - - es-PY - Spanish (Paraguay) - - es-PE - Spanish (Peru) - - es-PR - Spanish (Puerto Rico) - - es-ES - Spanish (Spain) - - es-US - Spanish (United States) - - es-UY - Spanish (Uruguay) - - es-VE - Spanish (Venezuela) - - su-ID - Sundanese (Indonesia) - - sw-KE - Swahili (Kenya) - - sw-TZ - swahili (Tanzania) - - sv-SE - Swedish - - ta-IN - Tamil (India) - - ta-MY - Tamil (Malaysia) - - ta-SG - Tamil (Singapore) - - ta-LK - Tamil (Sri Lanka) - - te-IN - Telugu - - th-TH - Thai - - tr-TR - Turkish - - uk-UA - Ukrainian - - ur-IN - Urdu (India) - - ur-PK - Urdu (Pakistan) - - uz-UZ - Uzbek - - ui-VN - Vietnamese - - zu-ZA - Zulu + - + Name: English (Australia) + BCP-47: en-AU + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: English (India) + BCP-47: en-IN + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: English (Singapore) + BCP-47: en-SG + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: English (United Kingdom) + BCP-47: en-GB + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: English (United States) + BCP-47: en-US + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + - + Name: French (France) + BCP-47: fr-FR + Automatic punctuation: Yes + Profanity filter: Yes + Spoken punctuation: Yes + Spoken emojis: Yes + x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' @@ -619,13 +525,13 @@ components: default: false example: false description: |+ - Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + Specifies whether to enable spoken punctuation during post-processing. Valid values - True and False. Default value - False. spoken_emojis: type: boolean default: false example: false description: |+ - Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + Specifies whether to enable spoken emojis during post-processing. Valid values - True and False. Default value - False. uploadinput: type: object required: From df88084b1e704b2b9539c3c5629d724f3db32360 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 27 Jan 2022 20:31:02 +1100 Subject: [PATCH 3527/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 45a8cfd55..1435fdc3b 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -10,6 +10,11 @@ info: version: '0.1.0' x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html + | **id** | **name** | **age** | **gender** | + |:------:|:--------:|:-------:|:----------:| + | 1 | Roberta | 39 | M | + | 2 | Oliver | 25 | M | + x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf x-subscribelink: automatic_speech_recognition_chi From 673fda9a4026fd48ffe3904753ee33fb8b568bab Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 15:06:43 +0530 Subject: [PATCH 3528/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 51 +++++--------------------------- 1 file changed, 8 insertions(+), 43 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index c3b9c079a..02edcd694 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,49 +10,14 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - - - Name: English (Australia) - BCP-47: en-AU - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: English (India) - BCP-47: en-IN - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: English (Singapore) - BCP-47: en-SG - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: English (United Kingdom) - BCP-47: en-GB - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: English (United States) - BCP-47: en-US - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - - - Name: French (France) - BCP-47: fr-FR - Automatic punctuation: Yes - Profanity filter: Yes - Spoken punctuation: Yes - Spoken emojis: Yes - + | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | + |:------:|:--------:|:-------:|:----------:| + | English (Australia) | en-AU | Yes | Yes | Yes | Yes | + | English (India) | en-IN | Yes | Yes | Yes | Yes | + | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | + | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | + | English (United States) | en-US | Yes | Yes | Yes | Yes | + | French (France) | fr-FR | Yes | Yes | Yes | Yes | x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From a97bd443dbf01570cb6414a1eeb6eacc132abc84 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 15:17:36 +0530 Subject: [PATCH 3529/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 02edcd694..5c7f56b8a 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -10,14 +10,14 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported languages are:** - | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | - |:------:|:--------:|:-------:|:----------:| - | English (Australia) | en-AU | Yes | Yes | Yes | Yes | - | English (India) | en-IN | Yes | Yes | Yes | Yes | - | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | - | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | - | English (United States) | en-US | Yes | Yes | Yes | Yes | - | French (France) | fr-FR | Yes | Yes | Yes | Yes | + | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | + |:------------------------:|:--------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| + | English (Australia) | en-AU | Yes | Yes | Yes | Yes | + | English (India) | en-IN | Yes | Yes | Yes | Yes | + | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | + | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | + | English (United States) | en-US | Yes | Yes | Yes | Yes | + | French (France) | fr-FR | Yes | Yes | Yes | Yes | x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From ea678f33969ec8fc87d96b99399cfff01ac09130 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 15:25:21 +0530 Subject: [PATCH 3530/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 5c7f56b8a..cdf70ff8f 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -18,6 +18,10 @@ info: | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | | English (United States) | en-US | Yes | Yes | Yes | Yes | | French (France) | fr-FR | Yes | Yes | Yes | Yes | + | **id** | **name** | **age** | **gender** | + |:------:|:--------:|:-------:|:----------:| + | 1 | Roberta | 39 | M | + | 2 | Oliver | 25 | M | x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From 392a0395feeddc608f170d0e902d27a5b430595f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 15:30:40 +0530 Subject: [PATCH 3531/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index cdf70ff8f..0da698a26 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -9,6 +9,10 @@ info: For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + | **id** | **name** | **age** | **gender** | + |:------:|:--------:|:-------:|:----------:| + | 1 | Roberta | 39 | M | + | 2 | Oliver | 25 | M | * **Supported languages are:** | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | |:------------------------:|:--------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| From 3b009bb8a8a99d0c4476eb9f4f37a17bc4b9904d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 15:36:02 +0530 Subject: [PATCH 3532/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 25 ++++++++----------------- 1 file changed, 8 insertions(+), 17 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 0da698a26..c83f48548 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -9,23 +9,14 @@ info: For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html - | **id** | **name** | **age** | **gender** | - |:------:|:--------:|:-------:|:----------:| - | 1 | Roberta | 39 | M | - | 2 | Oliver | 25 | M | - * **Supported languages are:** - | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | - |:------------------------:|:--------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| - | English (Australia) | en-AU | Yes | Yes | Yes | Yes | - | English (India) | en-IN | Yes | Yes | Yes | Yes | - | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | - | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | - | English (United States) | en-US | Yes | Yes | Yes | Yes | - | French (France) | fr-FR | Yes | Yes | Yes | Yes | - | **id** | **name** | **age** | **gender** | - |:------:|:--------:|:-------:|:----------:| - | 1 | Roberta | 39 | M | - | 2 | Oliver | 25 | M | + | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | + |:------------------------:|:--------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| + | English (Australia) | en-AU | Yes | Yes | Yes | Yes | + | English (India) | en-IN | Yes | Yes | Yes | Yes | + | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | + | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | + | English (United States) | en-US | Yes | Yes | Yes | Yes | + | French (France) | fr-FR | Yes | Yes | Yes | Yes | x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From 8d73365a9f65db6760c05b0089a5fa612c5ebd02 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 15:53:09 +0530 Subject: [PATCH 3533/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index c83f48548..9424ebd5e 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -9,6 +9,8 @@ info: For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + * **Supported Languages:** + | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | |:------------------------:|:--------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| | English (Australia) | en-AU | Yes | Yes | Yes | Yes | From 566df41cc6f3ac86958ef7e74dd619277ec8ad22 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 16:27:02 +0530 Subject: [PATCH 3534/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 1435fdc3b..45a8cfd55 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -10,11 +10,6 @@ info: version: '0.1.0' x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html - | **id** | **name** | **age** | **gender** | - |:------:|:--------:|:-------:|:----------:| - | 1 | Roberta | 39 | M | - | 2 | Oliver | 25 | M | - x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf x-subscribelink: automatic_speech_recognition_chi From a22d7e73d542af411d91db45af3c7ef5d7e03b47 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 18:56:44 +0530 Subject: [PATCH 3535/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 2b7a5cd30..fc3ae5e65 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -245,7 +245,7 @@ components: input_language: type: string example: en - description: Optional. Specify the input language of the input text, if required. + description: Specify the input language of the input text, if required. If not specified it will automatically detect the input language. target_language: type: string example: "fr" From 18b7dc01ae8000ceae1a9f464032d7d01451d165 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 28 Jan 2022 00:27:01 +1100 Subject: [PATCH 3536/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 0ec319f84..9292188c3 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -337,7 +337,7 @@ components: type: boolean default: false example: false - description: It returns the hourly aggregation of no of camera images. Input should be true/false, default is false. + description: It returns the hourly aggregation of total number of camera images captured. Input should be true/false, default is false. collapse: type: boolean default: false From 6cd73a903c85f3affaf00b12598775dca1d9af37 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 19:21:22 +0530 Subject: [PATCH 3537/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index fc3ae5e65..3b220a172 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -4,7 +4,6 @@ info: description: |+ This document describes how to use the Cloud Translation - Basic (v2) to translate text. The input text can be plain text or HTML. Cloud Translation - Basic does not translate any HTML tags in the input, only text that appears between the tags. The output retains the (untranslated) HTML tags, with the translated text between the tags to the extent possible due to differences between the source and target languages. The order of HTML tags in the output may differ from the order in the input text due to word order changes in the translation. - Do ensure that your text is within **5000 characters**. x-additionalinfo: |+ Suggested Use Cases: - Use this microservice to translate the input text into different languages. From 5416ef5776dfd7b7ef0621abbfaea5904c8e98a3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 27 Jan 2022 19:35:21 +0530 Subject: [PATCH 3538/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 9424ebd5e..382252608 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -8,7 +8,7 @@ info: - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html * **Supported Languages:** | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | From 2bceb7d50a5a3fac6b50465636ff646b2e8198b3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 19:38:56 +0530 Subject: [PATCH 3539/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 216 +++++++++++++++++++------------------- 1 file changed, 108 insertions(+), 108 deletions(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 3b220a172..1e13bc777 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -7,6 +7,113 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Use this microservice to translate the input text into different languages. + Supported languages are: |+ + - af - afrikaans + - sq - albanian + - am - amharic + - ar - arabic + - hy - armenian + - az - azerbaijani + - eu - basque + - be - belarusian + - bn - bengali + - bs - bosnian + - bg - bulgarian + - ca - catalan + - ceb - cebuano + - ny - chichewa + - zh-cn - chinese (simplified) + - zh-tw - chinese (traditional) + - co - corsican + - hr - croatian + - cs - czech + - da - danish + - nl - dutch + - en - english + - eo - esperanto + - et - estonian + - tl - filipino + - fi - finnish + - fr - french + - fy - frisian + - gl - galician + - ka - georgian + - de - german + - el - greek + - gu - gujarati + - ht - haitian creole + - ha - hausa + - haw - hawaiian + - iw - hebrew + - hi - hindi + - hmn - hmong + - hu - hungarian + - is - icelandic + - ig - igbo + - id - indonesian + - ga - irish + - it - italian + - ja - japanese + - jw - javanese + - kn - kannada + - kk - kazakh + - km - khmer + - ko - korean + - ku - kurdish (kurmanji) + - ky - kyrgyz + - lo - lao + - la - latin + - lv - latvian + - lt - lithuanian + - lb - luxembourgish + - mk - macedonian + - mg - malagasy + - ms - malay + - ml - malayalam + - mt - maltese + - mi - maori + - mr - marathi + - mn - mongolian + - my - myanmar (burmese) + - ne - nepali + - no - norwegian + - ps - pashto + - fa - persian + - pl - polish + - pt - portuguese + - pa - punjabi + - ro - romanian + - ru - russian + - sm - samoan + - gd - scots gaelic + - sr - serbian + - st - sesotho + - sn - shona + - sd - sindhi + - si - sinhala + - sk - slovak + - sl - slovenian + - so - somali + - es - spanish + - su - sundanese + - sw - swahili + - sv - swedish + - tg - tajik + - ta - tamil + - te - telugu + - th - thai + - tr - turkish + - uk - ukrainian + - ur - urdu + - uz - uzbek + - vi - vietnamese + - cy - welsh + - xh - xhosa + - yi - yiddish + - yo - yoruba + - zu - zulu + - fil - Filipino + - he - Hebrew version: '0.1.0' x-subscribelink: google_translate x-apitype: small file @@ -249,114 +356,7 @@ components: type: string example: "fr" description: |+ - The language in which the text has to translated. - Supported languages are, - - af - afrikaans - - sq - albanian - - am - amharic - - ar - arabic - - hy - armenian - - az - azerbaijani - - eu - basque - - be - belarusian - - bn - bengali - - bs - bosnian - - bg - bulgarian - - ca - catalan - - ceb - cebuano - - ny - chichewa - - zh-cn - chinese (simplified) - - zh-tw - chinese (traditional) - - co - corsican - - hr - croatian - - cs - czech - - da - danish - - nl - dutch - - en - english - - eo - esperanto - - et - estonian - - tl - filipino - - fi - finnish - - fr - french - - fy - frisian - - gl - galician - - ka - georgian - - de - german - - el - greek - - gu - gujarati - - ht - haitian creole - - ha - hausa - - haw - hawaiian - - iw - hebrew - - hi - hindi - - hmn - hmong - - hu - hungarian - - is - icelandic - - ig - igbo - - id - indonesian - - ga - irish - - it - italian - - ja - japanese - - jw - javanese - - kn - kannada - - kk - kazakh - - km - khmer - - ko - korean - - ku - kurdish (kurmanji) - - ky - kyrgyz - - lo - lao - - la - latin - - lv - latvian - - lt - lithuanian - - lb - luxembourgish - - mk - macedonian - - mg - malagasy - - ms - malay - - ml - malayalam - - mt - maltese - - mi - maori - - mr - marathi - - mn - mongolian - - my - myanmar (burmese) - - ne - nepali - - no - norwegian - - ps - pashto - - fa - persian - - pl - polish - - pt - portuguese - - pa - punjabi - - ro - romanian - - ru - russian - - sm - samoan - - gd - scots gaelic - - sr - serbian - - st - sesotho - - sn - shona - - sd - sindhi - - si - sinhala - - sk - slovak - - sl - slovenian - - so - somali - - es - spanish - - su - sundanese - - sw - swahili - - sv - swedish - - tg - tajik - - ta - tamil - - te - telugu - - th - thai - - tr - turkish - - uk - ukrainian - - ur - urdu - - uz - uzbek - - vi - vietnamese - - cy - welsh - - xh - xhosa - - yi - yiddish - - yo - yoruba - - zu - zulu - - fil - Filipino - - he - Hebrew + The language in which the text has to translated. default: true securitySchemes: APIAuthorizer: From e6919de6b13f05594a85514c0ebe82f05b587ef5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 19:54:45 +0530 Subject: [PATCH 3540/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 1e13bc777..27aead876 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -346,7 +346,7 @@ components: text: type: string example: "Good Morning" - description: Input text that has to be translated (can be in any language). It supports 5000 characters. + description: Input text that has to be translated (can be in any language). default: true input_language: type: string From 70f132aacc129844be0119cda56c9bff5f33f267 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 19:59:07 +0530 Subject: [PATCH 3541/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 218 +++++++++++++++++++------------------- 1 file changed, 109 insertions(+), 109 deletions(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 27aead876..ab7cb3ed8 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -7,113 +7,113 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Use this microservice to translate the input text into different languages. - Supported languages are: |+ - - af - afrikaans - - sq - albanian - - am - amharic - - ar - arabic - - hy - armenian - - az - azerbaijani - - eu - basque - - be - belarusian - - bn - bengali - - bs - bosnian - - bg - bulgarian - - ca - catalan - - ceb - cebuano - - ny - chichewa - - zh-cn - chinese (simplified) - - zh-tw - chinese (traditional) - - co - corsican - - hr - croatian - - cs - czech - - da - danish - - nl - dutch - - en - english - - eo - esperanto - - et - estonian - - tl - filipino - - fi - finnish - - fr - french - - fy - frisian - - gl - galician - - ka - georgian - - de - german - - el - greek - - gu - gujarati - - ht - haitian creole - - ha - hausa - - haw - hawaiian - - iw - hebrew - - hi - hindi - - hmn - hmong - - hu - hungarian - - is - icelandic - - ig - igbo - - id - indonesian - - ga - irish - - it - italian - - ja - japanese - - jw - javanese - - kn - kannada - - kk - kazakh - - km - khmer - - ko - korean - - ku - kurdish (kurmanji) - - ky - kyrgyz - - lo - lao - - la - latin - - lv - latvian - - lt - lithuanian - - lb - luxembourgish - - mk - macedonian - - mg - malagasy - - ms - malay - - ml - malayalam - - mt - maltese - - mi - maori - - mr - marathi - - mn - mongolian - - my - myanmar (burmese) - - ne - nepali - - no - norwegian - - ps - pashto - - fa - persian - - pl - polish - - pt - portuguese - - pa - punjabi - - ro - romanian - - ru - russian - - sm - samoan - - gd - scots gaelic - - sr - serbian - - st - sesotho - - sn - shona - - sd - sindhi - - si - sinhala - - sk - slovak - - sl - slovenian - - so - somali - - es - spanish - - su - sundanese - - sw - swahili - - sv - swedish - - tg - tajik - - ta - tamil - - te - telugu - - th - thai - - tr - turkish - - uk - ukrainian - - ur - urdu - - uz - uzbek - - vi - vietnamese - - cy - welsh - - xh - xhosa - - yi - yiddish - - yo - yoruba - - zu - zulu - - fil - Filipino - - he - Hebrew + * **Supported languages are:** + - af - afrikaans + - sq - albanian + - am - amharic + - ar - arabic + - hy - armenian + - az - azerbaijani + - eu - basque + - be - belarusian + - bn - bengali + - bs - bosnian + - bg - bulgarian + - ca - catalan + - ceb - cebuano + - ny - chichewa + - zh-cn - chinese (simplified) + - zh-tw - chinese (traditional) + - co - corsican + - hr - croatian + - cs - czech + - da - danish + - nl - dutch + - en - english + - eo - esperanto + - et - estonian + - tl - filipino + - fi - finnish + - fr - french + - fy - frisian + - gl - galician + - ka - georgian + - de - german + - el - greek + - gu - gujarati + - ht - haitian creole + - ha - hausa + - haw - hawaiian + - iw - hebrew + - hi - hindi + - hmn - hmong + - hu - hungarian + - is - icelandic + - ig - igbo + - id - indonesian + - ga - irish + - it - italian + - ja - japanese + - jw - javanese + - kn - kannada + - kk - kazakh + - km - khmer + - ko - korean + - ku - kurdish (kurmanji) + - ky - kyrgyz + - lo - lao + - la - latin + - lv - latvian + - lt - lithuanian + - lb - luxembourgish + - mk - macedonian + - mg - malagasy + - ms - malay + - ml - malayalam + - mt - maltese + - mi - maori + - mr - marathi + - mn - mongolian + - my - myanmar (burmese) + - ne - nepali + - no - norwegian + - ps - pashto + - fa - persian + - pl - polish + - pt - portuguese + - pa - punjabi + - ro - romanian + - ru - russian + - sm - samoan + - gd - scots gaelic + - sr - serbian + - st - sesotho + - sn - shona + - sd - sindhi + - si - sinhala + - sk - slovak + - sl - slovenian + - so - somali + - es - spanish + - su - sundanese + - sw - swahili + - sv - swedish + - tg - tajik + - ta - tamil + - te - telugu + - th - thai + - tr - turkish + - uk - ukrainian + - ur - urdu + - uz - uzbek + - vi - vietnamese + - cy - welsh + - xh - xhosa + - yi - yiddish + - yo - yoruba + - zu - zulu + - fil - Filipino + - he - Hebrew version: '0.1.0' x-subscribelink: google_translate x-apitype: small file @@ -133,7 +133,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 21, 2021" + description: "Published Date - Jan 27, 2022" paths: /microservices/nlp/googletranslate/v0/getpredictions: post: @@ -334,7 +334,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 21, 2021 + example: Published Date - Jan 27, 2022 x-details: Initial version release description: Latest Version input: From 619cea6d0f0bd5cc2757dda431e059f6c65a531f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 20:00:08 +0530 Subject: [PATCH 3542/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 216 +++++++++++++++++++------------------- 1 file changed, 107 insertions(+), 109 deletions(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index ab7cb3ed8..222540a5d 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -5,115 +5,113 @@ info: This document describes how to use the Cloud Translation - Basic (v2) to translate text. The input text can be plain text or HTML. Cloud Translation - Basic does not translate any HTML tags in the input, only text that appears between the tags. The output retains the (untranslated) HTML tags, with the translated text between the tags to the extent possible due to differences between the source and target languages. The order of HTML tags in the output may differ from the order in the input text due to word order changes in the translation. x-additionalinfo: |+ - Suggested Use Cases: - - Use this microservice to translate the input text into different languages. - * **Supported languages are:** - - af - afrikaans - - sq - albanian - - am - amharic - - ar - arabic - - hy - armenian - - az - azerbaijani - - eu - basque - - be - belarusian - - bn - bengali - - bs - bosnian - - bg - bulgarian - - ca - catalan - - ceb - cebuano - - ny - chichewa - - zh-cn - chinese (simplified) - - zh-tw - chinese (traditional) - - co - corsican - - hr - croatian - - cs - czech - - da - danish - - nl - dutch - - en - english - - eo - esperanto - - et - estonian - - tl - filipino - - fi - finnish - - fr - french - - fy - frisian - - gl - galician - - ka - georgian - - de - german - - el - greek - - gu - gujarati - - ht - haitian creole - - ha - hausa - - haw - hawaiian - - iw - hebrew - - hi - hindi - - hmn - hmong - - hu - hungarian - - is - icelandic - - ig - igbo - - id - indonesian - - ga - irish - - it - italian - - ja - japanese - - jw - javanese - - kn - kannada - - kk - kazakh - - km - khmer - - ko - korean - - ku - kurdish (kurmanji) - - ky - kyrgyz - - lo - lao - - la - latin - - lv - latvian - - lt - lithuanian - - lb - luxembourgish - - mk - macedonian - - mg - malagasy - - ms - malay - - ml - malayalam - - mt - maltese - - mi - maori - - mr - marathi - - mn - mongolian - - my - myanmar (burmese) - - ne - nepali - - no - norwegian - - ps - pashto - - fa - persian - - pl - polish - - pt - portuguese - - pa - punjabi - - ro - romanian - - ru - russian - - sm - samoan - - gd - scots gaelic - - sr - serbian - - st - sesotho - - sn - shona - - sd - sindhi - - si - sinhala - - sk - slovak - - sl - slovenian - - so - somali - - es - spanish - - su - sundanese - - sw - swahili - - sv - swedish - - tg - tajik - - ta - tamil - - te - telugu - - th - thai - - tr - turkish - - uk - ukrainian - - ur - urdu - - uz - uzbek - - vi - vietnamese - - cy - welsh - - xh - xhosa - - yi - yiddish - - yo - yoruba - - zu - zulu - - fil - Filipino - - he - Hebrew + **Supported languages are:** + - af - afrikaans + - sq - albanian + - am - amharic + - ar - arabic + - hy - armenian + - az - azerbaijani + - eu - basque + - be - belarusian + - bn - bengali + - bs - bosnian + - bg - bulgarian + - ca - catalan + - ceb - cebuano + - ny - chichewa + - zh-cn - chinese (simplified) + - zh-tw - chinese (traditional) + - co - corsican + - hr - croatian + - cs - czech + - da - danish + - nl - dutch + - en - english + - eo - esperanto + - et - estonian + - tl - filipino + - fi - finnish + - fr - french + - fy - frisian + - gl - galician + - ka - georgian + - de - german + - el - greek + - gu - gujarati + - ht - haitian creole + - ha - hausa + - haw - hawaiian + - iw - hebrew + - hi - hindi + - hmn - hmong + - hu - hungarian + - is - icelandic + - ig - igbo + - id - indonesian + - ga - irish + - it - italian + - ja - japanese + - jw - javanese + - kn - kannada + - kk - kazakh + - km - khmer + - ko - korean + - ku - kurdish (kurmanji) + - ky - kyrgyz + - lo - lao + - la - latin + - lv - latvian + - lt - lithuanian + - lb - luxembourgish + - mk - macedonian + - mg - malagasy + - ms - malay + - ml - malayalam + - mt - maltese + - mi - maori + - mr - marathi + - mn - mongolian + - my - myanmar (burmese) + - ne - nepali + - no - norwegian + - ps - pashto + - fa - persian + - pl - polish + - pt - portuguese + - pa - punjabi + - ro - romanian + - ru - russian + - sm - samoan + - gd - scots gaelic + - sr - serbian + - st - sesotho + - sn - shona + - sd - sindhi + - si - sinhala + - sk - slovak + - sl - slovenian + - so - somali + - es - spanish + - su - sundanese + - sw - swahili + - sv - swedish + - tg - tajik + - ta - tamil + - te - telugu + - th - thai + - tr - turkish + - uk - ukrainian + - ur - urdu + - uz - uzbek + - vi - vietnamese + - cy - welsh + - xh - xhosa + - yi - yiddish + - yo - yoruba + - zu - zulu + - fil - Filipino + - he - Hebrew version: '0.1.0' x-subscribelink: google_translate x-apitype: small file From fdf5a589b588d03e25eaa3a8e056c000b3434309 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 20:08:46 +0530 Subject: [PATCH 3543/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 147 +++++++++++++++++++++++++++++-- 1 file changed, 139 insertions(+), 8 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 382252608..c926cbb65 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -11,14 +11,145 @@ info: Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html * **Supported Languages:** - | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | - |:------------------------:|:--------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| - | English (Australia) | en-AU | Yes | Yes | Yes | Yes | - | English (India) | en-IN | Yes | Yes | Yes | Yes | - | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | - | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | - | English (United States) | en-US | Yes | Yes | Yes | Yes | - | French (France) | fr-FR | Yes | Yes | Yes | Yes | + | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | + |:-------------------------------------------:|:--------------------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| + | Afrikaans (South Africa) | af-ZA | No | Yes | No | No | + | Albanian (Albania) | sq-AL | No | Yes | No | No | + | Amharic (Ethiopia) | am-ET | No | Yes | No | No | + | Arabic (Algeria) | ar-DZ | No | Yes | No | No | + | Arabic (Bahrain) | ar-BH | No | Yes | No | No | + | Arabic (Egypt) | ar-EG | No | Yes | No | No | + | Arabic (Iraq) | ar-IQ | No | Yes | No | No | + | Arabic (Israel) | ar-IL | No | Yes | No | No | + | Arabic (Jordan) | ar-JO | No | Yes | No | No | + | Arabic (Kuwait) | ar-KW | No | Yes | No | No | + | Arabic (Lebanon) | ar-LB | No | Yes | No | No | + | Arabic (Morocco) | ar-MA | No | Yes | No | No | + | Arabic (Oman) | ar-OM | No | Yes | No | No | + | Arabic (Qatar) | ar-QA | No | Yes | No | No | + | Arabic (Saudi Arabia) | ar-SA | No | Yes | No | No | + | Arabic (State of Palestine) | ar-PS | No | Yes | No | No | + | Arabic (Tunisia) | ar-TN | No | Yes | No | No | + | Arabic (United Arab Emirates) | ar-AE | No | Yes | No | No | + | Arabic (Yemen) | ar-YE | No | Yes | No | No | + | Armenian (Armenia) | hy-AM | No | Yes | No | No | + | Azerbaijani (Azerbaijan) | az-AZ | No | Yes | No | No | + | Basque (Spain) | eu-ES | No | Yes | No | No | + | Bengali (Bangladesh) | bn-BD | No | Yes | No | No | + | Bengali (India) | bn-IN | No | Yes | No | No | + | Bosnian (Bosnia and Herzegovina) | bs-BA | No | Yes | No | No | + | Bulgarian (Bulgaria) | bg-BG | No | Yes | No | No | + | Burmese (Myanmar) | my-MM | No | Yes | No | No | + | Catalan (Spain) | ca-ES | No | Yes | No | No | + | Chinese, Cantonese (Traditional Hong Kong) | yue-Hant-HK | No | Yes | No | No | + | Chinese, Mandarin (Simplified, China) | zh (cmn-Hans-CN) | Yes | Yes | No | No | + | Chinese, Mandarin (Traditional, Taiwan) | zh-TW (cmn-Hant-TW) | Yes | Yes | No | No | + | Croatian (Croatia) | hr-HR | No | Yes | No | No | + | Czech (Czech Republic) | cs-CZ | Yes | Yes | Yes | No | + | Danish (Denmark) | da-DK | Yes | Yes | Yes | No | + | Dutch (Belgium) | nl-BE | No | Yes | Yes | No | + | Dutch (Netherlands) | nl-NL | No | Yes | Yes | No | + | English (Australia) | en-AU | Yes | Yes | Yes | Yes | + | English (Canada) | en-CA | No | Yes | No | No | + | English (Ghana) | en-GH | No | Yes | Yes | No | + | English (Hong Kong) | en-HK | No | Yes | Yes | Yes | + | English (India) | en-IN | Yes | Yes | Yes | Yes | + | English (Ireland) | en-IE | No | Yes | Yes | Yes | + | English (Kenya) | en-KE | No | Yes | Yes | No | + | English (New Zealand) | en-NZ | No | Yes | Yes | Yes | + | English (Nigeria) | en-NG | No | Yes | Yes | No | + | English (Pakistan) | en-PK | No | Yes | Yes | Yes | + | English (Philippines) | en-PH | No | Yes | No | No | + | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | + | English (South Africa) | en-ZA | No | Yes | Yes | No | + | English (Tanzania) | en-TZ | No | Yes | Yes | No | + | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | + | English (United States) | en-US | Yes | Yes | Yes | Yes | + | Estonian (Estonia) | et-EE | No | Yes | No | No | + | Filipino (Philippines) | fil-PH | No | Yes | No | No | + | Finnish (Finland) | fi-FI | No | Yes | No | No | + | French (Belgium) | fr-BE | No | Yes | Yes | Yes | + | French (Canada) | fr-CA | No | Yes | Yes | No | + | French (France) | fr-FR | Yes | Yes | Yes | Yes | + | French (Switzerland) | fr-CH | No | Yes | Yes | Yes | + | Galician (Spain) | gl-ES | No | Yes | No | No | + | Georgian (Georgia) | ka-GE | No | Yes | No | No | + | German (Austria) | de-AT | No | Yes | Yes | No | + | German (Germany) | de-DE | Yes | Yes | Yes | No | + | German (Switzerland) | de-CH | No | Yes | Yes | No | + | Greek (Greece) | el-GR | No | Yes | No | No | + | Gujarati (India) | gu-IN | No | Yes | No | No | + | Hebrew (Israel) | iw-IL | No | Yes | Yes | No | + | Hindi (India) | hi-IN | No | Yes | Yes | No | + | Hungarian (Hungary) | hu-HU | No | Yes | No | No | + | Icelandic (Iceland) | is-IS | No | Yes | No | No | + | Indonesian (Indonesia) | id-ID | Yes | Yes | Yes | No | + | Italian (Italy) | it-IT | Yes | Yes | Yes | No | + | Italian (Switzerland) | it-CH | No | Yes | Yes | No | + | Japanese (Japan) | ja-JP | Yes | Yes | Yes | No | + | Javanese (Indonesia) | jv-ID | No | Yes | No | No | + | Kannada (India) | kn-IN | No | Yes | No | No | + | Kazakh (Kazakhstan) | kk-KZ | No | Yes | No | No | + | Khmer (Cambodia) | km-KH | No | Yes | No | No | + | Korean (South Korea) | ko-KR | Yes | Yes | Yes | Yes | + | Lao (Laos) | lo-LA | No | Yes | No | No | + | Latvian (Latvia) | lv-LV | No | Yes | No | No | + | Lithuanian (Lithuania) | lt-LT | No | Yes | No | No | + | Macedonian (North Macedonia) | mk-MK | No | Yes | No | No | + | Malay (Malaysia) | ms-MY | No | Yes | No | No | + | Malayalam (India) | ml-IN | No | Yes | No | No | + | Marathi (India) | mr-IN | No | Yes | No | No | + | Mongolian (Mongolia) | mn-MN | No | Yes | No | No | + | Nepali (Nepal) | ne-NP | No | Yes | No | No | + | Norwegian Bokmål (Norway) | no-NO | No | Yes | Yes | No | + | Persian (Iran) | fa-IR | No | Yes | No | No | + | Polish (Poland) | pl-PL | No | Yes | Yes | No | + | Portuguese (Brazil) | pt-BR | No | Yes | Yes | No | + | Portuguese (Portugal) | pt-PT | No | Yes | Yes | No | + | Punjabi (Gurmukhi India) | pa-Guru-IN | No | Yes | Yes | No | + | Romanian (Romania) | ro-RO | No | Yes | No | No | + | Russian (Russia) | ru-RU | No | Yes | Yes | No | + | Serbian (Serbia) | sr-RS | No | Yes | No | No | + | Sinhala (Sri Lanka) | si-LK | No | Yes | No | No | + | Slovak (Slovakia) | sk-SK | No | Yes | No | No | + | Slovenian (Slovenia) | sl-SI | No | Yes | No | No | + | Spanish (Argentina) | es-AR | No | Yes | Yes | No | + | Spanish (Bolivia) | es-BO | No | Yes | Yes | No | + | Spanish (Chile) | es-CL | No | Yes | Yes | No | + | Spanish (Colombia) | es-CO | No | Yes | Yes | No | + | Spanish (Costa Rica) | es-CR | No | Yes | Yes | No | + | Spanish (Dominican Republic) | es-DO | No | Yes | Yes | No | + | Spanish (Ecuador) | es-EC | No | Yes | Yes | No | + | Spanish (El Salvador) | es-SV | No | Yes | Yes | No | + | Spanish (Guatemala) | es-GT | No | Yes | Yes | No | + | Spanish (Honduras) | es-HN | No | Yes | Yes | No | + | Spanish (Mexico) | es-MX | No | Yes | Yes | No | + | Spanish (Nicaragua) | es-NI | No | Yes | Yes | No | + | Spanish (Panama) | es-PA | No | Yes | Yes | No | + | Spanish (Paraguay) | es-PY | No | Yes | Yes | No | + | Spanish (Peru) | es-PE | No | Yes | Yes | No | + | Spanish (Puerto Rico) | es-PR | No | Yes | Yes | No | + | Spanish (Spain) | es-ES | No | Yes | Yes | No | + | Spanish (United States) | es-US | Yes | Yes | Yes | No | + | Spanish (Uruguay) | es-UY | No | Yes | Yes | No | + | Spanish (Venezuela) | es-VE | No | Yes | Yes | No | + | Sundanese (Indonesia) | su-ID | No | Yes | No | No | + | Swahili (Kenya) | sw-KE | No | Yes | No | No | + | Swahili (Tanzania) | sw-TZ | No | Yes | No | No | + | Swedish (Sweden) | sv-SE | Yes | Yes | Yes | No | + | Tamil (India) | ta-IN | No | Yes | No | No | + | Tamil (Malaysia) | ta-MY | No | Yes | No | No | + | Tamil (Singapore) | ta-SG | No | Yes | No | No | + | Tamil (Sri Lanka) | ta-LK | No | Yes | No | No | + | Telugu (India) | te-IN | No | Yes | No | No | + | Thai (Thailand) | th-TH | No | Yes | No | No | + | Turkish (Turkey) | tr-TR | Yes | Yes | Yes | No | + | Ukrainian (Ukraine) | uk-UA | No | Yes | No | No | + | Urdu (India) | ur-IN | No | Yes | No | No | + | Urdu (Pakistan) | ur-PK | No | Yes | No | No | + | Uzbek (Uzbekistan) | uz-UZ | No | Yes | No | No | + | Vietnamese (Vietnam) | vi-VN | No | Yes | No | No | + | Zulu (South Africa) | zu-ZA | No | Yes | No | No | x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr.pdf version: '0.1.0' From e658244434f4d2196b1e44a5ecd4baab23b463d3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Jan 2022 20:16:15 +0530 Subject: [PATCH 3544/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index c926cbb65..4986f45db 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -599,36 +599,34 @@ components: example: en-US description: |+ Specify the language code of the input audio. - word_time_offsets: - type: boolean - default: false - example: false - description: |+ - Specifies whether to enable word time offsets during post-processing. Valid values - True and False. Default value - False. automatic_punctuation: type: boolean default: false example: false description: |+ Specifies whether to enable automatic punctuation during post-processing. Valid values - True and False. Default value - False. + It is supported only for selected languages, refer to additional info for details. profanity_filter: type: boolean default: false example: false description: |+ Specifies whether to add profanity filter during post-processing. Valid Values - True and False. Default value - False. + It is supported only for selected languages, refer to additional info for details. spoken_punctuation: type: boolean default: false example: false description: |+ Specifies whether to enable spoken punctuation during post-processing. Valid values - True and False. Default value - False. + It is supported only for selected languages, refer to additional info for details. spoken_emojis: type: boolean default: false example: false description: |+ Specifies whether to enable spoken emojis during post-processing. Valid values - True and False. Default value - False. + It is supported only for selected languages, refer to additional info for details. uploadinput: type: object required: From 298ed70159734116d977086c199671a246f4c95f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Feb 2022 10:54:19 +0530 Subject: [PATCH 3545/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index 485432794..ad2f53ddb 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -20,6 +20,12 @@ info: > {"geo_distance": {"distance": "1km","location": "1.3138,103.8456"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"dataclass"}} + + **Aggregations Request Data:** + > {"aggregation":true} + + **Pagination with scroll_id:** - When we query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[{"range":{"timestamp":{"gte":"2021-02-05T12:50:00.000Z", "lte":"2021-02-05T12:51:00.000Z"}}}]} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ @@ -165,7 +171,11 @@ components: status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call Success/Failure + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAC-UWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Using for pagination when records are more than 10K. "scroll_id" is same for all pagination so no need to change again results: type: object example: {} From 728c36f76996c8ecd2532d2bcdf8b0ee1a3c8a0d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Feb 2022 10:55:27 +0530 Subject: [PATCH 3546/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index ad2f53ddb..7be15d873 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -41,7 +41,7 @@ info: x-apidetailsdesc: |+ Provides information on Ishikawajima-Harima Heavy Industries. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 23, 2021" From 709504c40817b941598f7cef11b3c23ccbcb71a2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Feb 2022 10:58:09 +0530 Subject: [PATCH 3547/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index 7be15d873..1fae8a842 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -379,6 +379,11 @@ components: * range * geo_distance * exists + scroll_id: + type: string + default: false + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAC-UWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: when Elastic Search more than 10K data need to add the scroll_id for pagination with query. securitySchemes: APIAuthorizer: type: apiKey From ae637214c7d5ac2f955157529318271321137e31 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Feb 2022 11:41:07 +0530 Subject: [PATCH 3548/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index 1fae8a842..fbcf25a07 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -378,12 +378,7 @@ components: * match_phrase * range * geo_distance - * exists - scroll_id: - type: string - default: false - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAC-UWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: when Elastic Search more than 10K data need to add the scroll_id for pagination with query. + * exists securitySchemes: APIAuthorizer: type: apiKey From e5f5ffea2b1ad30fe9236895867c32db0a0dd4a9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Feb 2022 13:45:45 +0530 Subject: [PATCH 3549/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 9e515c1f3..6c8931225 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Dec 30, 2021" From 2f22e227dfb49c872e0f4881b6512ca8002fc37e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 11:41:12 +0530 Subject: [PATCH 3550/5916] Update lta_car_park_availability.yaml --- data/lta_car_park_availability.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_car_park_availability.yaml b/data/lta_car_park_availability.yaml index e210b591a..29d9c7141 100644 --- a/data/lta_car_park_availability.yaml +++ b/data/lta_car_park_availability.yaml @@ -36,7 +36,7 @@ info: x-apidetailsdesc: |+ Provides number of available lots within Singapore's Housing Development Board. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 13, 2021" From fe8888091205370f8c2131d9718921309098571c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 11:47:27 +0530 Subject: [PATCH 3551/5916] Delete lta_car_park_availability.yaml --- data/lta_car_park_availability.yaml | 378 ---------------------------- 1 file changed, 378 deletions(-) delete mode 100644 data/lta_car_park_availability.yaml diff --git a/data/lta_car_park_availability.yaml b/data/lta_car_park_availability.yaml deleted file mode 100644 index 29d9c7141..000000000 --- a/data/lta_car_park_availability.yaml +++ /dev/null @@ -1,378 +0,0 @@ -openapi: 3.0.1 -info: - title: LTA Carpark Availability - x-subscribelink: lta_car_park_availability - description: |+ - This Data microservice returns the number of available lots within Singapore's Housing Development Board (HDB), Land Transport Authority (LTA) and Urban Redevelopment Authority (URA) carparks. The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District. Updates every 1 minute. - This microservice contains information from LTA Datamall's Carpark Availability dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"agency":"LTA"}} - * **match** - Search within a full text field for a single word - > {"match":{"agency":"LTA"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"availablelots":{"gte":10}}} - > {"range":{"availablelots":{"lte":100}}} - > {"range":{"availablelots":{"gte":10,"lte":100}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","location": "1.29375,103.85718"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"area"}} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides number of available lots within Singapore's Housing Development Board. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 13, 2021" -paths: - /microservices/data/ltacarparkavailabilityv2/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: 16CLTA - _index: lta_carpark_availability - _score: 0 - _source: - agency: LTA - area: Harbfront - availablelots: 900 - carparkid: '16' - development: VivoCity P3 - lastupdated: '2021-07-26T07:48:53.138Z' - location: - lat: '1.26421' - lon: '103.82263' - lottype: C - source: lta - _type: dir_doc - max_score: 0 - total: 5 - status: Successs - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - agency: - type: string - example: "LTA" - description: |+ - Agencies: - • HDB - • LTA - • URA - area: - type: string - example: Marina - description: |+ - Area of development / building: - • Orchard - • Marina - • Harbfront - • JurongLakeDistrict - availablelots: - type: number - example: 965 - description: Number of lots available at point of data retrieval. - carparkid: - type: string - example: 1 - description: A unique code for this carpark - development: - type: string - example: Suntec City - description: Major landmark or address where - carpark is located - location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude value. - lon: - type: string - example: 103.845603032574 - description: Longitude value. - example: {} - description: Latitude and Longitude map - coordinates. - lottype: - type: string - example: C - description: |+ - Type of lots: - • C (for Cars) - • H (for Heavy Vehicles) - • Y (for Motorcycles) - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 13, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - filter: - type: array - default: false - items: - type: object - example: [{"match":{"agency":"LTA"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 2e069fcf3cd1b102b255a16442dbbf951c418f55 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 11:47:38 +0530 Subject: [PATCH 3552/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index aaaa65f5b..c2bc3892a 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -42,7 +42,7 @@ info: x-apidetailsdesc: |+ Provides number of available lots within Singapore's Housing Development Board. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 13, 2021" From 2b57e8035d8cef0b6a4980f999149d53ab3d9ed2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 11:59:16 +0530 Subject: [PATCH 3553/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 0fe448ee7..31b2077a8 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -35,7 +35,7 @@ info: x-apidetailsdesc: |+ Provides tap in and tap out passenger volume by weekdays and weekends for individual bus stop. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Nov 22, 2021" From 2a173e104ec24c05d29815a04f24e369e0547f90 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 11:59:26 +0530 Subject: [PATCH 3554/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index f63c5100c..61a8e65f5 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -34,7 +34,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jul 30, 2021" From 50fbcddf51405ac5967bb4a0f104639bb9b399b3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 11:59:36 +0530 Subject: [PATCH 3555/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 9292188c3..6bc24e423 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -46,7 +46,7 @@ info: x-apidetailsdesc: |+ Provides links to images of live traffic conditions. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jul 30, 2021" From 5778d60422d9602f1f512a113b8710bf5d0d1ebe Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 11:59:48 +0530 Subject: [PATCH 3556/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index ae002b5ff..2eedbe98e 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -38,7 +38,7 @@ info: x-apidetailsdesc: |+ Provides real time incidents on the roads. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 13, 2021" From 53d388d8990ba8e0fecc10072f6099533361d43d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 12:00:15 +0530 Subject: [PATCH 3557/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index 6b6a434ce..d82602f7e 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -42,7 +42,7 @@ info: x-apidetailsdesc: |+ Provides current traffic speeds. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 26, 2021" From 58a91a48d418b839b30a332757e41352308a6cad Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 12:00:25 +0530 Subject: [PATCH 3558/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index 738c26be8..abcdf3da0 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -36,7 +36,7 @@ info: x-apidetailsdesc: |+ Provides traffic advisories. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jul 30, 2021" From 6d06a5eeb377a1708e32c5d16a41803fa2df916e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 12:00:38 +0530 Subject: [PATCH 3559/5916] Delete lta_traffic_speed_bands.yaml --- data/lta_traffic_speed_bands.yaml | 402 ------------------------------ 1 file changed, 402 deletions(-) delete mode 100644 data/lta_traffic_speed_bands.yaml diff --git a/data/lta_traffic_speed_bands.yaml b/data/lta_traffic_speed_bands.yaml deleted file mode 100644 index 88168a9dc..000000000 --- a/data/lta_traffic_speed_bands.yaml +++ /dev/null @@ -1,402 +0,0 @@ -openapi: 3.0.1 -info: - title: LTA Traffic Speed Bands - x-subscribelink: lta_traffic_speed_bands - description: |+ - This Data microservice returns current traffic speeds on expressways and arterial roads,expressed in speed bands. Updates every 5 minutes. - This microservice contains information from LTA Datamall's Traffic Speed Bands dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"road_name":"JALAN KORMA"}} - * **match** - Search within a full text field for a single word - > {"match":{"road_name":"JALAN KORMA"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"maximum_speed":{"gte":20}}} - > {"range":{"maximum_speed":{"lte":50}}} - > {"range":{"maximum_speed":{"gte":20,"lte":100}}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "1km","start_location": "1.3170,103.8529"}} - > {"geo_distance": {"distance": "1km","end_location": "1.3166,103.8525"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"speed_band"}} - - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides current traffic speeds. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Jul 30, 2021" -paths: - /microservices/data/ltatrafficspeedbandsv2/v0/getdata: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: '103000000' - _index: lta_traffic_speed_bands - _score: 0 - _source: - end_location: - lat: '1.3166840028663076' - lon: '103.85259882242372' - lastupdated: '2021-07-26T18:04:26.575Z' - link_id: '103000000' - maximum_speed: '29' - minimum_speed: '20' - road_category: E - road_name: KENT ROAD - source: lta - speed_band: 3 - start_location: - lat: '1.3170142376560023' - lon: '103.85298052044503' - _type: dir_doc - max_score: 0 - total: 500 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - linkid: - type: string - example: 103000000 - description: Unique ID for this stretch of road - maximumspeed: - type: string - example: "29" - description: Maximum speed in km/h - minimumspeed: - type: string - example: "20" - description: Minimum speed in km/h - roadcategory: - type: string - example: "E" - description: |+ - * A – Expressways - * B – Major Arterial Roads - * C – Arterial Roads - * D – Minor Arterial Roads - * E – Small Roads - * F – Slip Roads - * G – No category info available - roadname: - type: string - example: "KENT ROAD" - description: Road Name - speedband: - type: number - example: 3 - description: |+ - Speed Bands Information. Total: 8 - * 1 – indicates speed range from 0 < 9 - * 2 – indicates speed range from 10 < 19 - * 3 – indicates speed range from 20 < 29 - * 4 – indicates speed range from 30 < 39 - * 5 – indicates speed range from 40 < 49 - * 6 – indicates speed range from 50 < 59 - * 7 – indicates speed range from 60 < 69 - * 8 – speed range from 70 or more - start_location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude map - coordinates for start points for this stretch of road - lon: - type: string - example: 103.845603032574 - description: Longitude map - coordinates for start points for this stretch of road - example: {} - description: Latitude and Longitude map - coordinates. - end_location: - type: object - properties: - lat: - type: string - example: 1.31384231654635 - description: Latitude map - coordinates for end points for this stretch of road - lon: - type: string - example: 103.845603032574 - description: Longitude map - coordinates for end points for this stretch of road - example: {} - description: Latitude and Longitude map - coordinates. - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - source: - type: string - description: Dataset source - example: lta - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2021 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index - filter: - type: array - default: false - items: - type: object - example: [{"match" :{"road_name":"KENT ROAD"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * range - * geo_distance - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 21133349dad7fc50842a113f9283b7c260d8352c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 12:16:14 +0530 Subject: [PATCH 3560/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 6bc24e423..81f575c2e 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -29,8 +29,8 @@ info: **Generate Presigned URL:** Traffic images are stored in GCS location. To access the image need to generate the presigned URL. - **End Point** - https://dev-apis.sentient.io/microservices/data/ltapresignedurl/v0/getdata - **Input Example** - {"image_link": "gs://lta_data/trafficimages/1501_20211022_194451.jpg"} + **End Point** - https://apis.sentient.io/microservices/data/ltapresignedurl/v0/getdata + **Input Example** - {"image_link": "gs://lta_data_prod/trafficimages/1501_20211022_194451.jpg"} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ From 81924cee7d62dfd19a69efd33193f2681c33bf76 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Feb 2022 14:45:05 +0530 Subject: [PATCH 3561/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 222540a5d..a2e52403e 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Translate string based on language. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jan 27, 2022" From d9399ae193af207f46ec25ede93c54521da6b153 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 3 Feb 2022 09:18:44 +0530 Subject: [PATCH 3562/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index a2e52403e..222540a5d 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Translate string based on language. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jan 27, 2022" From 70cd42213aeace6825bc2d38f0b5aaa90443c5f4 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 4 Feb 2022 19:31:14 +0800 Subject: [PATCH 3563/5916] online asr and command asr yamls edited --- .../online_automatic_speech_recognition_eng_sg.html | 11 ----------- ...e_command_automatic_speech_recognition_eng_sg.html | 11 ----------- 2 files changed, 22 deletions(-) diff --git a/static-pages/online_automatic_speech_recognition_eng_sg.html b/static-pages/online_automatic_speech_recognition_eng_sg.html index 494def76b..65e22f676 100644 --- a/static-pages/online_automatic_speech_recognition_eng_sg.html +++ b/static-pages/online_automatic_speech_recognition_eng_sg.html @@ -444,17 +444,6 @@

Description

- - -

partial

- - -

String

- - -

Predicted text for the utterance.

- -

result or result struct

diff --git a/static-pages/online_command_automatic_speech_recognition_eng_sg.html b/static-pages/online_command_automatic_speech_recognition_eng_sg.html index b205f4958..d636f49f0 100644 --- a/static-pages/online_command_automatic_speech_recognition_eng_sg.html +++ b/static-pages/online_command_automatic_speech_recognition_eng_sg.html @@ -394,17 +394,6 @@

Description

- - -

partial

- - -

String

- - -

Predicted text for the utterance.

- -

result

From 4c4bcab729f95b0a59314f3a23ae2d3e1b81c3c1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 8 Feb 2022 12:39:44 +0530 Subject: [PATCH 3564/5916] Update index.yaml --- index.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/index.yaml b/index.yaml index 0533996b8..f39a3f57c 100644 --- a/index.yaml +++ b/index.yaml @@ -418,7 +418,6 @@ data alliance: Platform APIs: org_info: title: View Organizational Info - urlkey: org_info versions: 0.1.0: 'org_info.yaml' update_org: From 93eb06eaaa5823ac14237c2a7d9263626863561a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 8 Feb 2022 12:48:29 +0530 Subject: [PATCH 3565/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index f39a3f57c..b72a40c99 100644 --- a/index.yaml +++ b/index.yaml @@ -415,7 +415,7 @@ data alliance: urlkey: download_dataset_api versions: 0.1.0: 'download_dataset.yaml' -Platform APIs: +platform apis: org_info: title: View Organizational Info versions: From c71b6abedad13e154180e2cbdfe3417fadf91a73 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 8 Feb 2022 12:51:33 +0530 Subject: [PATCH 3566/5916] Update masked_face_recognition.yaml --- computer_vision/masked_face_recognition.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/masked_face_recognition.yaml b/computer_vision/masked_face_recognition.yaml index 19427ba8f..8160cdc16 100644 --- a/computer_vision/masked_face_recognition.yaml +++ b/computer_vision/masked_face_recognition.yaml @@ -66,10 +66,10 @@ info: x-apidetailsdesc: |+ Recognise faces of identities behind a mask. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 30, 2021" + description: "Published Date - Feb 08, 2022" paths: /microservices/cv/maskedfacerecognition/v0/getpredictions: post: @@ -283,7 +283,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 30, 2021 + example: Published Date - Feb 08, 2022 x-details: Initial version release description: Latest Version input: From 6123b5908b80e1ec80e6b6310a07db10da7e7cee Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 8 Feb 2022 13:05:49 +0530 Subject: [PATCH 3567/5916] Update masked_face_recognition.yaml --- computer_vision/masked_face_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/masked_face_recognition.yaml b/computer_vision/masked_face_recognition.yaml index 8160cdc16..0516f064e 100644 --- a/computer_vision/masked_face_recognition.yaml +++ b/computer_vision/masked_face_recognition.yaml @@ -66,7 +66,7 @@ info: x-apidetailsdesc: |+ Recognise faces of identities behind a mask. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 08, 2022" From 1590b82aa80e7c010696bec424553c07c65d0958 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 8 Feb 2022 13:08:28 +0530 Subject: [PATCH 3568/5916] Update masked_face_recognition.yaml --- computer_vision/masked_face_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/masked_face_recognition.yaml b/computer_vision/masked_face_recognition.yaml index 0516f064e..8160cdc16 100644 --- a/computer_vision/masked_face_recognition.yaml +++ b/computer_vision/masked_face_recognition.yaml @@ -66,7 +66,7 @@ info: x-apidetailsdesc: |+ Recognise faces of identities behind a mask. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 08, 2022" From cddbf584d6c942eaddf25281ee6511bba50ca5f9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 8 Feb 2022 19:05:31 +0530 Subject: [PATCH 3569/5916] Create engine.yaml --- recommendation_engine/engine.yaml | 367 ++++++++++++++++++++++++++++++ 1 file changed, 367 insertions(+) create mode 100644 recommendation_engine/engine.yaml diff --git a/recommendation_engine/engine.yaml b/recommendation_engine/engine.yaml new file mode 100644 index 000000000..c7db03275 --- /dev/null +++ b/recommendation_engine/engine.yaml @@ -0,0 +1,367 @@ +openapi: 3.0.1 +info: + title: Recommendation Engine + description: |+ + Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. + version: '1.0.0' +servers: + - url: 'https://dev-ttap-harnessapps.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" +paths: + /addevent: + post: + tags: + - v1.0.0 + description: testing + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + "{\"comment\":\"UR input processed\"}" + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /viewevent: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/vieweventsuccess' + example: + "{\"result\":[{\"item\":\"Page 30\",\"score\":2.48592472076416},{\"item\":\"Page 24\",\"score\":2.48592472076416},{\"item\":\"Page 21\",\"score\":2.48592472076416},{\"item\":\"Page 29\",\"score\":2.48592472076416},{\"item\":\"Page 26\",\"score\":2.48592472076416},{\"item\":\"Page 17\",\"score\":2.48592472076416},{\"item\":\"Page 12\",\"score\":2.48592472076416},{\"item\":\"Page 1\",\"score\":2.48592472076416},{\"item\":\"Page 7\",\"score\":1.862879991531372},{\"item\":\"Page 20\",\"score\":0.6230446696281433},{\"item\":\"Page 27\",\"score\":0.6230446696281433},{\"item\":\"Page 25\",\"score\":0.6230446696281433},{\"item\":\"Page 23\",\"score\":0.6230446696281433},{\"item\":\"Page 22\",\"score\":0.6230446696281433},{\"item\":\"Page 16\",\"score\":0.6230446696281433},{\"item\":\"Page 28\",\"score\":0.6230446696281433},{\"item\":\"Page 6\",\"score\":0.6230446696281433},{\"item\":\"Page 9\",\"score\":0.6230446696281433},{\"item\":\"Page 11\",\"score\":0.6230446696281433},{\"item\":\"Page 3\",\"score\":0.6230446696281433}]}" + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/vieweventinput' + required: true + /trainevent: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/traineventsuccess' + example: + "{\"description\":{\"jobId\":\"e4673adc-f50d-4f90-8f72-eb1d9dba7628\",\"status\":{\"name\":\"queued\"},\"comment\":\"Spark job\",\"createdAt\":\"2022-01-20T06:17:55.504Z\"},\"comment\":\"Started train Job on Spark\"}" + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + /bulkupload: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/bulkuploadsuccess' + example: + "{\"description\":{\"jobId\":\"e4673adc-f50d-4f90-8f72-eb1d9dba7628\",\"status\":{\"name\":\"queued\"},\"comment\":\"Spark job\",\"createdAt\":\"2022-01-20T06:17:55.504Z\"},\"comment\":\"Started train Job on Spark\"}" + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/bulkuploadinput' + required: true +components: + schemas: + success: + type: object + properties: + comment: + type: string + description: The result of the API call. + example: UR input processed + bulkuploadsuccess: + type: object + properties: + comment: + type: string + description: The result of the API call. + example: UR input processed + vieweventsuccess: + type: object + properties: + result: + type: array + description: The result of the API call. + example: UR input processed + items: + type: object + properties: + item: + type: string + description: The result of the item details. + example: Page 30 + score: + type: string + description: The result of the score details. + example: 2.48592472076416 + traineventsuccess: + type: object + properties: + description: + type: object + description: The result of the API call. + example: UR input processed + properties: + jobId: + type: string + description: Job ID of the train event. + example: e4673adc-f50d-4f90-8f72-eb1d9dba7628 + status: + type: object + description: List of the object + example: {"name": "queued"} + properties: + name: + type: string + description: Name of the job status + example: queued + comment: + type: string + description: Comment of the train event + example: Spark job + createdAt: + type: string + description: Train event created date and time + example: "2022-01-20T06:17:55.504Z" + comment: + type: string + description: Comment of the train event + example: Started train Job on Spark + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + bulkuploadinput: + type: object + properties: + file: + type: string + format: binary + default: true + example: sample.csv + description: Upload CSV file with details of input - event, entityType, entityId, targetEntityType, targetEntityId, eventTime + vieweventinput: + type: object + properties: + user: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: User 10 + input: + type: object + required: + - event + - entityType + - entityId + - targetEntityType + - targetEntityId + - eventTime + properties: + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: buy + entityType: + type: string + default: true + example: user + description: |+ + This is always "user", do not use any other type for indicators. + entityId: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + targetEntityType: + type: string + default: true + example: item + description: |+ + This is always "item", do not use any other type for indicators. + targetEntityId: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + properties: + type: object + default: true + example: {} + description: |+ + Always empty and can be omitted. + eventTime: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. From d74eb1fb731f215076fd14e38c763abe2887f5d8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 10 Feb 2022 10:21:01 +0530 Subject: [PATCH 3570/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index c913a8fae..399f7d2f8 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -22,7 +22,7 @@ info: x-apidetailsdesc: |+ Generates a Public and Private key pair based on byte-length [1 to 5] servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 30, 2019" From 8e652ba7a75d4c2d5b34331e667a0b136dac9e80 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 10 Feb 2022 10:21:14 +0530 Subject: [PATCH 3571/5916] Update encryption_using_pki_key.yaml --- utility/encryption_using_pki_key.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key.yaml index 00cface93..4f7a1ac7e 100644 --- a/utility/encryption_using_pki_key.yaml +++ b/utility/encryption_using_pki_key.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Encrypt text to encoded string by public key. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 30, 2019" From 263d1d9f728fd12ee855ab4f10251d0518e67f4d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 10 Feb 2022 10:21:26 +0530 Subject: [PATCH 3572/5916] Update decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index 3348292a3..dbeb3b112 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Decrypt encoded string to text by private key. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 30, 2019" From cab3c948cb31202e43fd43d197f0547094339b2e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 10 Feb 2022 10:22:39 +0530 Subject: [PATCH 3573/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 399f7d2f8..573eb1820 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -217,7 +217,7 @@ components: type: object properties: bitcode: - type: string + type: number example: 1 default: true description: bitcode to generate the key by byte-length. Maximum up to 5. Empty string and above 5 should be consider as 1. From 034cbe725e7f1721f8f848d584e2d24000f836b5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 10 Feb 2022 11:13:40 +0530 Subject: [PATCH 3574/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 573eb1820..75617de81 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -205,6 +205,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 10, 2022 + x-details: Patch Update(Input Type Change) + description: Latest Version v0.1.0: type: array items: @@ -212,7 +220,7 @@ components: - type: string example: Published Date - Aug 30, 2019 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: From a6807648c67486c069cd31236d9dc31a61864935 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 10 Feb 2022 15:42:38 +0530 Subject: [PATCH 3575/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 24 ++++++++++++++++-------- 1 file changed, 16 insertions(+), 8 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index a5f869913..9df6bd8cb 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Converts any audio format to wav file. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Mar 24, 2020" + description: "Published Date - Feb 10, 2022" paths: /microservices/utility/audioprocessing/v0.1/getresults: post: @@ -208,7 +208,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 10, 2022 + x-details: Type update + description: Latest Version v0.1.0: type: array items: @@ -216,7 +224,7 @@ components: - type: string example: Published Date - Mar 24, 2020 x-details: Initial version release - description: Latest Version + description: Archived input: type: object required: @@ -249,14 +257,14 @@ components: example: no description: A boolean value that indicates whether to normalize the audio or not. Values must be either “yes” or “no” trim_start_time: - type: string + type: number default: false - example: '1' + example: 1 description: Indicates the start in seconds between which the audio is extracted trim_stop_time: - type: string + type: number default: false - example: '5' + example: 5 description: Indicates the end time in seconds between which the audio is extracted securitySchemes: APIAuthorizer: From 1de3bf0889e486b4048a7095f37d1ebbaee1d487 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 10 Feb 2022 15:43:21 +0530 Subject: [PATCH 3576/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 75617de81..1554b49af 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 30, 2019" + description: "Published Date - Feb 10, 2022" paths: /microservices/utility/rsagetkeys/v0.1/getresults: post: From ecc2dc4076865fab00813e4b2775eeae063c8bd9 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 11 Feb 2022 14:06:15 +0800 Subject: [PATCH 3577/5916] Fixed location parameter name --- computer_vision/landmark_recognition.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/landmark_recognition.yaml b/computer_vision/landmark_recognition.yaml index 10e51402c..738194841 100644 --- a/computer_vision/landmark_recognition.yaml +++ b/computer_vision/landmark_recognition.yaml @@ -244,7 +244,7 @@ components: - type: string example: Published Date - Jan 28, 2022 x-details: |+ - Optional Parametr landmark_loc introduced. + Optional Parameter location introduced. description: Latest Version v1.0.0: type: array @@ -281,9 +281,9 @@ components: x-name: landmark_loc type: string default: false - example: sg + example: SG description: |+ - Location of Landmark passed as input.Values accepted are sg and jp. By default its sg. + Location of Landmark passed as input.Values accepted are SG and JP. By default its SG. securitySchemes: APIAuthorizer: type: apiKey From 14c2b0ca4e14f91a4ea4511022590cc985936616 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 11 Feb 2022 14:12:11 +0800 Subject: [PATCH 3578/5916] Fixed location parameter name --- computer_vision/landmark_recognition.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/landmark_recognition.yaml b/computer_vision/landmark_recognition.yaml index 738194841..ed5d71235 100644 --- a/computer_vision/landmark_recognition.yaml +++ b/computer_vision/landmark_recognition.yaml @@ -277,8 +277,8 @@ components: Input image file in base64 format. Supported formats: blp, bmp, bufr, cur, dcx, dds, dib, eps, ps, fit, fits, flc, fli, fpx, ftc, ftu, gbr, gif, grib, h5, hd5, icns, ico, im, iim, jpeg, jp2, mic, mpeg, msp, pcd, pcx, pxr, png, ppm, psd, sgi, ras, tga, tiff, wmf, xbm, xpm. - landmark_loc: - x-name: landmark_loc + location: + x-name: location type: string default: false example: SG From a7408110936d6f021dd09012db02967f351e1d5d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 08:36:51 +0530 Subject: [PATCH 3579/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index fbcf25a07..04a4a8c85 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -44,7 +44,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 23, 2021" + description: "Published Date - Feb 01, 2022" paths: /microservices/data/ihidata/v0/getdata: post: @@ -350,7 +350,7 @@ components: items: oneOf: - type: string - example: Published Date - Aug 23, 2021 + example: Published Date - Feb 01, 2022 x-details: Initial version release description: Latest Version input: From 8e16f4d11db31931bce2b9682371baf444d110ba Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 08:37:56 +0530 Subject: [PATCH 3580/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index c2bc3892a..c42b4cd51 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -45,7 +45,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Oct 13, 2021" + description: "Published Date - Feb 01, 2022" paths: /microservices/data/ltacarparkhistorical/v0/getdata: post: @@ -414,7 +414,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 13, 2021 + example: Published Date - Feb 01, 2022 x-details: Initial version release description: Latest Version input: From 72b67cb65717263f99889b0ef5714ac367504e29 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 08:38:19 +0530 Subject: [PATCH 3581/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index e40d98101..c193c90a9 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -37,7 +37,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Oct 13, 2021" + description: "Published Date - Feb 01, 2022" paths: /microservices/data/ltafaultytrafficlights/v0/getdata: post: @@ -308,7 +308,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 13, 2021 + example: Published Date - Feb 01, 2022 x-details: Initial version release description: Latest Version input: From 67c30cb856735cb8cfd6ae9c5b09a1d9563db253 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 08:38:42 +0530 Subject: [PATCH 3582/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 31b2077a8..cc4d03b56 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -38,7 +38,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Nov 22, 2021" + description: "Published Date - Feb 01, 2022" paths: /microservices/data/ltapvbus/v0/getdata: post: @@ -317,7 +317,7 @@ components: items: oneOf: - type: string - example: Published Date - Nov 22, 2021 + example: Published Date - Feb 01, 2022 x-details: Initial version release description: Latest Version input: From 33f5567ce2e6b92f7e2cb962290e724a68ac35ad Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 08:39:00 +0530 Subject: [PATCH 3583/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index 61a8e65f5..b0d8fc6ad 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -37,7 +37,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jul 30, 2021" + description: "Published Date - Feb 01, 2022" paths: /microservices/data/ltaroadworks/v0/getdata: post: @@ -312,7 +312,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 30, 2021 + example: Published Date - Feb 01, 2022 x-details: Initial version release description: Latest Version input: From 15f185ff939922cf7077a54f7e84acf958a8daf3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 08:39:19 +0530 Subject: [PATCH 3584/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 81f575c2e..771937bf1 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -49,7 +49,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jul 30, 2021" + description: "Published Date - Feb 01, 2022" paths: /microservices/data/ltatrafficimagesv2/v0/getdata: post: @@ -317,7 +317,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 30, 2021 + example: Published Date - Feb 01, 2022 x-details: Initial version release description: Latest Version input: From 95741faf5e83eb29543b517378f8292503d37f98 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 08:39:37 +0530 Subject: [PATCH 3585/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index 2eedbe98e..409ddd4d6 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -41,7 +41,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Oct 13, 2021" + description: "Published Date - Feb 01, 2022" paths: /microservices/data/ltatrafficincidents/v0/getdata: post: @@ -361,7 +361,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 13, 2021 + example: Published Date - Feb 01, 2022 x-details: Initial version release description: Latest Version input: From 4a627f19fc25a018892e30087f308ddd06a82b55 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 08:39:58 +0530 Subject: [PATCH 3586/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index d82602f7e..cde78b29f 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -45,7 +45,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Oct 26, 2021" + description: "Published Date - Feb 01, 2022" paths: /microservices/data/ltaspeedbandhistorical/v0/getdata: post: @@ -437,7 +437,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 26, 2021 + example: Published Date - Feb 01, 2022 x-details: Initial version release description: Latest Version input: From 97d8f84f325f58a4c024ba3e66679ca43cc6e719 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 08:40:17 +0530 Subject: [PATCH 3587/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index abcdf3da0..7511da9a6 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -39,7 +39,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jul 30, 2021" + description: "Published Date - Feb 01, 2022" paths: /microservices/data/ltavms/v0/getdata: post: @@ -306,7 +306,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 30, 2021 + example: Published Date - Feb 01, 2022 x-details: Initial version release description: Latest Version input: From ca0ab30f737ab23b8faedcca3ee72470ddb07e6a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 09:02:54 +0530 Subject: [PATCH 3588/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index 409ddd4d6..8fa885ac9 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -20,7 +20,11 @@ info: > {"geo_distance": {"distance": "1km","location": "1.3265,103.9730"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"message"}} - + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"type":"Roadwork"}}]}} + > {"bool":{"must":[{"match":{"type":"Roadwork"}}]}} + > {"bool":{"should":[{"match":{"type":"Roadwork"}},{"match":{"type":"Vehicle Breakdown"}}]}} + **Aggregations Request Data:** > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"type":"Roadwork"}}]} version: '0.1.0' From 50682212543447e378601bd8dcae36f3b3e8cf25 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 09:14:44 +0530 Subject: [PATCH 3589/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index c42b4cd51..498524a08 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -21,7 +21,11 @@ info: > {"geo_distance": {"distance": "1km","location": "1.29375,103.85718"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"area"}} - + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"agency":"LTA"}}]}} + > {"bool":{"must":[{"agency":"LTA"}}]}} + > {"bool":{"should":[{"match":{"agency":"LTA"}}},{"match":{"agency":"HDB"}}]}} + **Aggregations Request Data:** > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"agency":"LTA"}}]} From ee64e0273789297b46e13e881c1b66def4001458 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 09:18:50 +0530 Subject: [PATCH 3590/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index c193c90a9..163e9abc0 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -18,7 +18,10 @@ info: > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"alarmid"}} - + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"alarmid":"GL703034136"}}]}} + > {"bool":{"must":[{"match":{"alarmid":"GL703034136"}}]}} + > {"bool":{"should":[{"match":{"alarmid":"GL703034136"}},{"match":{"alarmid":"GL743034172"}}]}} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ From 6f7fa3c7f820f12a765fb4be38d593d65cde9687 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 09:28:59 +0530 Subject: [PATCH 3591/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index cc4d03b56..7dcd4dfaf 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -19,7 +19,10 @@ info: > {"range": {"year_month": {"gte": "2021-09", "lte": "2021-10"}}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"day_type"}} - + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"day_type":"WEEKDAY"}}]}} + > {"bool":{"must":[{"match":{"day_type":"WEEKDAY"}}]}} + > {"bool":{"should":[{"match":{"day_type":"WEEKDAY"}}]}} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ From ddcf8e0eb63adf2bea6b439aa6a6f84c59385fd9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 09:31:30 +0530 Subject: [PATCH 3592/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index b0d8fc6ad..ec9f20e14 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -18,7 +18,11 @@ info: > {"range":{"end_date":{"gte":"now/d","lte":"now+100d/d"}}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"road_name"}} - + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"road_name":"arthur"}}]}} + > {"bool":{"must":[{"match":{"road_name":"arthur"}}]}} + > {"bool":{"should":[{"match":{"road_name":"arthur"}}]}} + version: '0.1.0' x-apitype: small file x-apitypedescription: |+ From 19d1f69cd38f4865fbd01151b09c62ade0d6934b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 09:35:41 +0530 Subject: [PATCH 3593/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 771937bf1..faee52a48 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -20,7 +20,11 @@ info: > {"geo_distance": {"distance": "1km","location": "1.3138,103.8456"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"image_link"}} - + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"camera_id":"1709"}}]}} + > {"bool":{"must":[{"match":{"camera_id":"1709"}}]}} + > {"bool":{"should":[{"match":{"camera_id":"1709"}}]}} + **Aggregations Request Data:** > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"camera_id":"1709"}}]} From fdef4934173567dfca3f27f782c39cb47c4e22b7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 09:43:46 +0530 Subject: [PATCH 3594/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index cde78b29f..7ad56b3af 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -20,7 +20,11 @@ info: > {"geo_distance": {"distance": "1km","end_location": "1.3166,103.8525"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"speed_band"}} - + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"road_name":"JALAN KORMA"}}]}} + > {"bool":{"must":[{"match":{"road_name":"JALAN KORMA"}}]}} + > {"bool":{"should":[{"match":{"road_name":"JALAN KORMA"}}]}} + **Aggregations Request Data:** > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"road_name":"JALAN KORMA"}}]} From 0b32e8f033d9d9d58c318a2299d45a83aebb0834 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Feb 2022 09:44:28 +0530 Subject: [PATCH 3595/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index 7511da9a6..24901320b 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -20,6 +20,10 @@ info: > {"geo_distance": {"distance": "1km","location": "1.3270,103.8848"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"message"}} + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"message":"HEAVY VEHICLES"}}]}} + > {"bool":{"must":[{"message":"HEAVY VEHICLES"}}]}} + > {"bool":{"should":[{"message":"HEAVY VEHICLES"}}]}} version: '0.1.0' x-apitype: small file From 67a9f3098c645230599d0dc8c05e451c5b648a51 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 14 Feb 2022 14:33:45 +0800 Subject: [PATCH 3596/5916] NER merged version updated with new parameters --- nlp/named-entity_recognition_eng.yaml | 24 +++++++++++++++++++----- 1 file changed, 19 insertions(+), 5 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 880641888..42abb0b96 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -125,27 +125,27 @@ components: example: [{"end_char": 3,"entity": "Donald Trump","start_char": 1}] description: People, including fictional. norp: - x-name: norp + x-name: misc type: array example: [{"entity":"Chinese","start_char": 1,"end_char": 2},{"entity":Singaporean,"start_char": 4,"end_char": 5},{"entity": Malay,"start_char": 6,"end_char": 7}] description: Nationalities or religious or political groups. fac: - x-name: fac + x-name: facility type: array example: [{"entity":Changi Airport,"start_char": 1,"end_char": 3}] description: Buildings, airports, highways, bridges, etc. org: - x-name: org + x-name: organization type: array example: [{"entity": "ICAO","start_char": 14,"end_char": 15}] description: Companies, agencies, institutions, etc. gpe: - x-name: gpe + x-name: geopolitical type: array example: [{"entity": "Singapore","start_char": 0,"end_char": 1}] description: Countries, cities, states. loc: - x-name: loc + x-name: location type: array example: [{"entity":"Asia","start_char": 42,"end_char": 43}] description: Non-GPE locations, mountain ranges, bodies of water. @@ -339,6 +339,20 @@ components: Input text. Supported formats: ASCII only + return_entity_position: + x-name: return_entity_position + type: boolean + default: true + example: true + description: |+ + Boolean value indicating whether entity position needs to be returned or not. Default value is True. + legacy_output: + x-name: legacy_output + type: boolean + default: false + example: true + description: |+ + Boolean value indicating whether the output should be of legacy output format. Default value is False. securitySchemes: APIAuthorizer: type: apiKey From fad83ed5e50b65f9ce7e1382a8751c8ec88d4360 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 14 Feb 2022 14:41:42 +0800 Subject: [PATCH 3597/5916] NER merged version updated with new parameters --- nlp/named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 42abb0b96..481a6919b 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -342,7 +342,7 @@ components: return_entity_position: x-name: return_entity_position type: boolean - default: true + default: false example: true description: |+ Boolean value indicating whether entity position needs to be returned or not. Default value is True. From 1885d9d7dcfaaaacd22062fdcf02c56edc1e5f49 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 14 Feb 2022 16:07:08 +0800 Subject: [PATCH 3598/5916] minor change in merged ner --- nlp/named-entity_recognition_eng.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 481a6919b..aeea216a8 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -124,27 +124,27 @@ components: type: array example: [{"end_char": 3,"entity": "Donald Trump","start_char": 1}] description: People, including fictional. - norp: + misc: x-name: misc type: array example: [{"entity":"Chinese","start_char": 1,"end_char": 2},{"entity":Singaporean,"start_char": 4,"end_char": 5},{"entity": Malay,"start_char": 6,"end_char": 7}] description: Nationalities or religious or political groups. - fac: + facility: x-name: facility type: array example: [{"entity":Changi Airport,"start_char": 1,"end_char": 3}] description: Buildings, airports, highways, bridges, etc. - org: + organization: x-name: organization type: array example: [{"entity": "ICAO","start_char": 14,"end_char": 15}] description: Companies, agencies, institutions, etc. - gpe: + geopolitical: x-name: geopolitical type: array example: [{"entity": "Singapore","start_char": 0,"end_char": 1}] description: Countries, cities, states. - loc: + location: x-name: location type: array example: [{"entity":"Asia","start_char": 42,"end_char": 43}] From bdab12e94675e3ff9ae8415f486b354cc752e4de Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 14 Feb 2022 23:27:10 +1100 Subject: [PATCH 3599/5916] correct default values --- nlp/named-entity_recognition_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index aeea216a8..19a5d3932 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -342,7 +342,7 @@ components: return_entity_position: x-name: return_entity_position type: boolean - default: false + default: true example: true description: |+ Boolean value indicating whether entity position needs to be returned or not. Default value is True. @@ -350,7 +350,7 @@ components: x-name: legacy_output type: boolean default: false - example: true + example: false description: |+ Boolean value indicating whether the output should be of legacy output format. Default value is False. securitySchemes: From 6130a51d810ef56b0d150ccc4f51fa9709897243 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 14 Feb 2022 23:37:25 +1100 Subject: [PATCH 3600/5916] Update change log --- nlp/named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 19a5d3932..22d26a201 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -316,7 +316,7 @@ components: - type: string example: Published Date - Sep 30, 2020 x-details: Updated version release v1.0 - description: Latest Version + description: End-of-life by May 31,2022 v0.1.0: type: array items: From 518de1279f9874087323329665cbc8ca55ae7653 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 14 Feb 2022 23:40:24 +1100 Subject: [PATCH 3601/5916] Update change log --- nlp/named-entity_recognition_eng_v1.0.yaml | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/nlp/named-entity_recognition_eng_v1.0.yaml b/nlp/named-entity_recognition_eng_v1.0.yaml index 031763f69..f57a6a663 100644 --- a/nlp/named-entity_recognition_eng_v1.0.yaml +++ b/nlp/named-entity_recognition_eng_v1.0.yaml @@ -33,7 +33,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Sep 30, 2020" + description: "Depreciation date - May 31, 2022" paths: /microservices/nlp/namedentityrecognition/v1/getpredictions: post: @@ -245,6 +245,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 28, 2022 + x-details: Merged Spacy ner and change in Output format + description: Latest Version v1.0.0: type: array items: @@ -252,7 +260,7 @@ components: - type: string example: Published Date - Sep 30, 2020 x-details: Updated version release v1.0 - description: Latest Version + description: End-of-life by May 31,2022 v0.1.0: type: array items: From f5fcda5c9ff16718dcac125ce4ec73be7b94ed4f Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 14 Feb 2022 23:41:59 +1100 Subject: [PATCH 3602/5916] Update change log due to ner merging --- nlp/spacy_ner.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index 28dd9dfed..4c2a9097c 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -30,7 +30,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Nov 26, 2021" + description: "Depreciation Date - May 31, 2022" paths: /microservices/nlp/spacyner/v1/getpredictions: post: @@ -308,7 +308,7 @@ components: - type: string example: Published Date - Nov 26, 2021 x-details: Optional input parameter introduced. Output Format Changed - description: Latest Version + description: End-of-life by May 31,2022 v0.1.0: type: array" items: From e12af5c258864a36135702bb88833d63c5d3e403 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 14 Feb 2022 23:55:53 +1100 Subject: [PATCH 3603/5916] Update named-entity_recognition_eng_v1.0.yaml --- nlp/named-entity_recognition_eng_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng_v1.0.yaml b/nlp/named-entity_recognition_eng_v1.0.yaml index f57a6a663..b1a3f6d7c 100644 --- a/nlp/named-entity_recognition_eng_v1.0.yaml +++ b/nlp/named-entity_recognition_eng_v1.0.yaml @@ -33,7 +33,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Depreciation date - May 31, 2022" + description: "Depreciation Date - May 31, 2022" paths: /microservices/nlp/namedentityrecognition/v1/getpredictions: post: From 302ff00dd57c7e2e9a3d5e13f25fe9099098d004 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 14 Feb 2022 23:56:04 +1100 Subject: [PATCH 3604/5916] Update landmark_recognition_sg.yaml --- computer_vision/landmark_recognition_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/landmark_recognition_sg.yaml b/computer_vision/landmark_recognition_sg.yaml index 759360d87..6e9fedafa 100644 --- a/computer_vision/landmark_recognition_sg.yaml +++ b/computer_vision/landmark_recognition_sg.yaml @@ -26,10 +26,10 @@ info: x-apidetailsdesc: |+ Identifies Singapore landmarks from multiple input images. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Mar 05, 2021" + description: "Depreciation Date - May 31, 2022" paths: /microservices/cv/landmarksg/v1/getpredictions: post: @@ -250,7 +250,7 @@ components: 2. Overall model accuracy improvements 3. Better accuracy in detecting non-landmarks 4. Fix bug in the confidence score computation - description: Latest Version + description: End-of-life by May 31,2022 v0.1.0: type: array items: From e71e9ad6deeb9bfd94c2ef103a7f814dcc7a5f18 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 14 Feb 2022 23:57:26 +1100 Subject: [PATCH 3605/5916] Update landmark_recognition_jp.yaml --- computer_vision/landmark_recognition_jp.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/landmark_recognition_jp.yaml b/computer_vision/landmark_recognition_jp.yaml index bd68bdd58..c3209f317 100644 --- a/computer_vision/landmark_recognition_jp.yaml +++ b/computer_vision/landmark_recognition_jp.yaml @@ -26,10 +26,10 @@ info: x-apidetailsdesc: |+ Identifies Japan landmarks from multiple input images. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Mar 05, 2021" + description: "Depreciation Date - May 31, 2022" paths: /microservices/cv/landmarkjp/v1/getpredictions: post: @@ -248,7 +248,7 @@ components: 2. Overall model accuracy improvements 3. Better accuracy in detecting non-landmarks 4. Fix bug in the confidence score computation - description: Latest Version + description: End-of-life by May 31,2022 v0.1.0: type: array items: From f65ed8cbec93af820cbea628d0c158fcddbe27ca Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Feb 2022 08:27:35 +0530 Subject: [PATCH 3606/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index 04a4a8c85..8066afb67 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -179,7 +179,7 @@ components: results: type: object example: {} - description: Json Object of returned results + description: JSON Object of returned results properties: total: type: integer @@ -210,8 +210,8 @@ components: example: "1220020162716353" _source: type: object - example: {} - description: Json Object of returned hits + example: {} + description: JSON Object of returned hits properties: lastupdated: type: string @@ -238,28 +238,28 @@ components: type: string description: WGS84 (GPS) longitude example: "103.72224233670825" - angel: + angle: type: float - description: angel + description: Angle. This angle is referenced by the vehicle direction on the map. example: 5.7 id: type: string - description: id + description: ID example: 122002_01627 timestamp: description: Recods the time and date on sentient example: "2021-02-05T12:28:29.723" type: type: integer - description: type + description: Type example: 11 unique_id: type: integer - description: uniqueid + description: Unique ID example: 1220020162716353 sort: type: array - description: sort + description: Sort example: 1640025797876 unauthorized: type: object From 9dcbfc1bcbcbc6c82f181e09fd7151a0264fd7be Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 16 Feb 2022 12:19:29 +0800 Subject: [PATCH 3607/5916] merged asr vadasr yaml edited --- voice/asr_with_voice_activity_detection_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 952b86db3..e37de64ed 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -261,8 +261,8 @@ components: Input audio wav file in base64 format. Mono channel, 8kHz / 16kHz sampling rate. - vad: - x-name: vad + voice_activity_detection: + x-name: voice_activity_detection type: boolean default: false example: false From 36bbf645280e355f7d77db384cd849ff7662d2a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Feb 2022 10:37:10 +0530 Subject: [PATCH 3608/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 76 +++++++++++++++++--------------- 1 file changed, 41 insertions(+), 35 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 4986f45db..03d50bc5b 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -592,41 +592,47 @@ components: description: |+ Specify the content-type. Pick any one from below list based on input file type. ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus","audio/webm","audio/3gpp","audio/3gpp2"] - language_code: - x-name: language_code - type: string - default: true - example: en-US - description: |+ - Specify the language code of the input audio. - automatic_punctuation: - type: boolean - default: false - example: false - description: |+ - Specifies whether to enable automatic punctuation during post-processing. Valid values - True and False. Default value - False. - It is supported only for selected languages, refer to additional info for details. - profanity_filter: - type: boolean - default: false - example: false - description: |+ - Specifies whether to add profanity filter during post-processing. Valid Values - True and False. Default value - False. - It is supported only for selected languages, refer to additional info for details. - spoken_punctuation: - type: boolean - default: false - example: false - description: |+ - Specifies whether to enable spoken punctuation during post-processing. Valid values - True and False. Default value - False. - It is supported only for selected languages, refer to additional info for details. - spoken_emojis: - type: boolean - default: false - example: false - description: |+ - Specifies whether to enable spoken emojis during post-processing. Valid values - True and False. Default value - False. - It is supported only for selected languages, refer to additional info for details. + additional_param: + x-name: additional_param + type: object + properties: + language_code: + x-name: language_code + type: string + default: true + example: en-US + description: |+ + Specify the language code of the input audio. + word_level: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable word time offsets during post-processing. Valid values - True and False. Default value - False. + automatic_punctuation: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable automatic punctuation during post-processing. Valid values - True and False. Default value - False. + profanity_filter: + type: boolean + default: false + example: false + description: |+ + Specifies whether to add profanity filter during post-processing. Valid Values - True and False. Default value - False. + spoken_punctuation: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + spoken_emojis: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. uploadinput: type: object required: From 0f261d98d65d56e7e7c354e72727d41e09753acf Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Feb 2022 13:46:29 +0530 Subject: [PATCH 3609/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index 8066afb67..4812a4db1 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -175,7 +175,7 @@ components: scroll_id: type: string example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAC-UWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Using for pagination when records are more than 10K. "scroll_id" is same for all pagination so no need to change again + description: This is auto generated id from Elastic Search for query more than 10K records. Sample query formation with scroll id given in Additional Information Section. results: type: object example: {} @@ -257,6 +257,18 @@ components: type: integer description: Unique ID example: 1220020162716353 + frame: + type: integer + description: Frame number of one vehicle images. + example: 1220020162716353 + vx: + type: number + description: Vehicle X axis. + example: 1220020162716353 + vy: + type: number + description: Vehicle Y axis. + example: 1220020162716353 sort: type: array description: Sort From 7f0bd4ac5b8a92d12c41cb9f4bd71d0b6d6d0e3a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Feb 2022 14:26:30 +0530 Subject: [PATCH 3610/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 66 ++++++++++++++------------------- 1 file changed, 27 insertions(+), 39 deletions(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index 4812a4db1..4325cf710 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -58,45 +58,33 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed - total: 1 - results: - - _id: 43349c95#11839 - _index: index_ihi_pointcloud2 - _score: - _source: - 1x: -244 - 1y: 4337 - 2x: -244 - 2y: 4468 - createddate: '2021-03-05T10:08:01.393Z' - dataclass: SD - datalen: 792 - datanumlow: 20 - datanumup: 0 - detecttime: '2020-7-7T19:26:38.232Z' - height: 160 - identify: 12 - jamlane: 0 - lastupdated: '2021-03-05T10:08:01.393Z' - length: 131 - location: - lat: '1.344893454845137' - lon: '103.72207077486455' - originid: '0x145D' - sendtime: '2020-7-7T19:26:38.252Z' - seqno: 43349 - situation: '0x02' - targetid: c95#11839 - targetidx: '0x1451' - width: 100 - xcoord: '357825.5286162619' - xspeed: 11 - ycoord: '148688.62788286374' - yspeed: 5 - _type: dir_doc - sort: - - 1614938881393 + message: Successfully Processed + results: + hits: + - _id: '1440026031996596' + _index: index_ihi_data + _score: + _source: + frame: 96596 + id: '144002_60319' + lastupdated: '2022-01-12T13:16:51.813Z' + lat: 35.69020405266453 + lng: 139.70444397964013 + location: + lat: 35.69020405266453 + lon: 139.70444397964013 + timestamp: '2021-02-05T14:48:06.162Z' + type: 12 + unique_id: '1440026031996596' + vx: 2.024 + vy: -1.308 + _type: dir_doc + sort: + - '1440026031996596' + max_score: + total: 1 + scroll_id: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + status: Success '401': description: Unauthorized content: From 69ca7c3c1f4aa7039ad2b8b0d1d6baacfc7e7764 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Feb 2022 14:28:44 +0530 Subject: [PATCH 3611/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index 4325cf710..d59bcf567 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -166,7 +166,7 @@ components: description: This is auto generated id from Elastic Search for query more than 10K records. Sample query formation with scroll id given in Additional Information Section. results: type: object - example: {} + example: {} description: JSON Object of returned results properties: total: From fb1e7211c1d19c9da6180d46e9781b89b304a779 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 16 Feb 2022 17:19:32 +0800 Subject: [PATCH 3612/5916] Landmark detection mereged yaml done --- computer_vision/landmark_recognition.yaml | 35 ++++++----------------- index.yaml | 2 +- 2 files changed, 10 insertions(+), 27 deletions(-) diff --git a/computer_vision/landmark_recognition.yaml b/computer_vision/landmark_recognition.yaml index ed5d71235..777230f84 100644 --- a/computer_vision/landmark_recognition.yaml +++ b/computer_vision/landmark_recognition.yaml @@ -28,13 +28,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.1" - description: "Published Date - Jan 28, 2022" +- name: "v1.0.0" + description: "Published Date - Feb 18, 2022" paths: /microservices/cv/landmarkdetection/v1/getpredictions: post: tags: - - v1.0.1 + - v1.0.0 responses: '200': description: Ok @@ -237,34 +237,15 @@ components: versions: type: object properties: - v1.0.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 28, 2022 - x-details: |+ - Optional Parameter location introduced. - description: Latest Version v1.0.0: type: array items: oneOf: - type: string - example: Published Date - Mar 05, 2021 + example: Published Date - Feb 18, 2022 x-details: |+ - 1. Standardizing Output JSON - 2. Overall model accuracy improvements - 3. Better accuracy in detecting non-landmarks - 4. Fix bug in the confidence score computation - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 30, 2020 - x-details: Initial version release - description: Archived + Initial release. The previous Landmark Detection (SG) and Landmark Detection (JP) has been merged into this new microservice. + description: Latest Version input: type: object properties: @@ -283,7 +264,9 @@ components: default: false example: SG description: |+ - Location of Landmark passed as input.Values accepted are SG and JP. By default its SG. + Country of landmark to be detected. Options are: + - SG (default) + - JP securitySchemes: APIAuthorizer: type: apiKey diff --git a/index.yaml b/index.yaml index b72a40c99..5d777e90d 100644 --- a/index.yaml +++ b/index.yaml @@ -196,7 +196,7 @@ computer vision: landmark_detection: title: Landmark Detection versions: - 1.0.1: 'landmark_recognition.yaml' + 1.0.0: 'landmark_recognition.yaml' landmark_recognition_sg: title: Landmark Detection (SG) versions: From ff944d083c126416088f6993d0c86db771cacee0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Feb 2022 14:55:47 +0530 Subject: [PATCH 3613/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index d59bcf567..e2f6457bb 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -24,7 +24,7 @@ info: **Aggregations Request Data:** > {"aggregation":true} - **Pagination with scroll_id:** - When we query more than 10K records scroll id need to add in query as like below. + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[{"range":{"timestamp":{"gte":"2021-02-05T12:50:00.000Z", "lte":"2021-02-05T12:51:00.000Z"}}}]} version: '0.1.0' x-apitype: small file From cd4e188e1f9f7d8debac234b3cd47750bb65e3b9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Feb 2022 15:25:23 +0530 Subject: [PATCH 3614/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index e2f6457bb..70f1005cd 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -180,7 +180,7 @@ components: hits: type: array example: [{ Date: Thu, 17 Feb 2022 12:14:46 +0800 Subject: [PATCH 3615/5916] Thumbnail generation yaml added --- computer_vision/thumbnail_generation.yaml | 246 ++++++++++++++++++++++ index.yaml | 4 + 2 files changed, 250 insertions(+) create mode 100644 computer_vision/thumbnail_generation.yaml diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml new file mode 100644 index 000000000..ad9d0e932 --- /dev/null +++ b/computer_vision/thumbnail_generation.yaml @@ -0,0 +1,246 @@ + +openapi: 3.0.1 +info: + title: Thumbnail Generation + description: |+ + Generate thumbnail images from video. + version: v0.1.0 + x-additionalinfo: |+ + Video filetypes accepted are 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' + x-subscribelink: thumbnail_generation +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 22, 2022" +paths: + /microservices/cv/thumbnailgeneration/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + encoded_images: + - UklGRkbiBABXQVZFZm10IBAAAAABA... + - UklGRkbiBABXQVZFZm10IBAAAAABA... + - UklGRkbiBABXQVZFZm10IBAAAAABA... + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + encoded_images: + description: List of thumbnail images in base64 string format + example: [UklGRkbiBABXQVZFZm10IBAAAAABA...,UklGRkbiBABXQVZFZm10IBAAAAABA...] + items: + description: Base64 string of Image + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + type: string + type: array + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 22, 2022 + description: Initial version release. + input: + type: object + required: + + - video_base64 + + properties: + video_base64: + x-name: video_base64 + type: string + default: True + example: 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+ description: |+ + Video content in base64 format. + output_thumbnails: + x-name: output_thumbnails + type: number + default: False + example: 2 + description: |+ + Number of output thumbnail images. Between 1 and 20. Default value is 1. + + file_type: + x-name: file_type + type: string + default: False + example: mp4 + description: |+ + Type of video container. If not specified, the type of container is detected and processed. Accepted containers: 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/index.yaml b/index.yaml index 5d777e90d..e6244b5c3 100644 --- a/index.yaml +++ b/index.yaml @@ -210,6 +210,10 @@ computer vision: title: Demographics Classification versions: 0.1.0: 'demographics_classification.yaml' + thumbnail_generation: + title: Thumbnail Generation + versions: + 0.1.0: 'thumbnail_generation.yaml' invoice_scanner: title: Invoice Scanner versions: From 29298c8c153e0f53214212f5c3bf8f9b56ff5cc3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 17 Feb 2022 16:25:58 +0530 Subject: [PATCH 3616/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 6c8931225..a085098dc 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Dec 30, 2021" @@ -247,7 +247,7 @@ components: example: false description: Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values - True and False. Default value - False. - voice_detection: + voice_activity_detection: type: boolean default: false example: false From 2d0cfb5e14177d3806cbe28a5e3fe15fba56356e Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 18 Feb 2022 16:04:32 +0800 Subject: [PATCH 3617/5916] Version description for merged landmark --- computer_vision/landmark_recognition.yaml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/computer_vision/landmark_recognition.yaml b/computer_vision/landmark_recognition.yaml index 777230f84..45f6003d2 100644 --- a/computer_vision/landmark_recognition.yaml +++ b/computer_vision/landmark_recognition.yaml @@ -243,9 +243,7 @@ components: oneOf: - type: string example: Published Date - Feb 18, 2022 - x-details: |+ - Initial release. The previous Landmark Detection (SG) and Landmark Detection (JP) has been merged into this new microservice. - description: Latest Version + description: Initial release. The previous Landmark Detection (SG) and Landmark Detection (JP) has been merged into this new microservice. input: type: object properties: From 612f0679bdb04a6e271d33ea81755721a920a0a1 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 18 Feb 2022 16:08:09 +0800 Subject: [PATCH 3618/5916] Paraphrase yaml description added --- nlp/paraphrase.yaml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/nlp/paraphrase.yaml b/nlp/paraphrase.yaml index dea6c0e33..2e7e85761 100644 --- a/nlp/paraphrase.yaml +++ b/nlp/paraphrase.yaml @@ -3,14 +3,16 @@ openapi: 3.0.1 info: title: Paraphrase description: |+ - This microservice is used to rewrite and enhance the input sentence. + This NLP microservice takes in English sentences in informal / colloquial tone and rewrites it in a formal tone. It helps to smooth out sentences that contains irregularities (profanities, grammatical errors, awkward sentence structures) that can be typically found in informal dialogues or conversations. + + The input text sentence should have less than 60 sub-words. Any excess words in the sentence beyond that limit will be ignored. As a word may often consist of 2 or more sub-words (e.g. “thumbnail” consists of the sub-words “thumb” and “nail”), generally, we suggest keeping the input sentence to around 30 to 50 words to be safe. version: v0.1.0 x-subscribelink: paraphrase servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - January 28, 2022" + description: "Published Date - Feb 18, 2022" paths: /microservices/nlp/paraphrase/v0/getpredictions: post: From 3ed36c15a26f8c098a2c70304c76a14f28571e3d Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 18 Feb 2022 16:09:07 +0800 Subject: [PATCH 3619/5916] Paraphrase yaml description added --- nlp/paraphrase.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/paraphrase.yaml b/nlp/paraphrase.yaml index 2e7e85761..2765f7ad3 100644 --- a/nlp/paraphrase.yaml +++ b/nlp/paraphrase.yaml @@ -206,7 +206,7 @@ components: items: oneOf: - type: string - example: Published Date - January 28, 2022 + example: Published Date - Feb 18, 2022 description: Initial Release input: type: object From 5d12debb2364999010fad5c88c12cd25ea071fc0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 18 Feb 2022 17:30:54 +0530 Subject: [PATCH 3620/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index a085098dc..93f292b25 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Dec 30, 2021" From e08b4d94f363eea2aafadcb91c1f39ec7819edba Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 18 Feb 2022 17:32:14 +0530 Subject: [PATCH 3621/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 93f292b25..3e08a7cd6 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -28,7 +28,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Dec 30, 2021" + description: "Published Date - Feb 18, 2022" paths: /microservices/voice/asrsch/v2/getpredictions: post: @@ -261,7 +261,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 30, 2021 + example: Published Date - Feb 18, 2022 x-details: Upgrading with Samplerate, Encoding etc.. description: Latest Version v1.0.0: From 44c117425ffd2f504523fa0be761f4610664e6e9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 18 Feb 2022 17:57:13 +0530 Subject: [PATCH 3622/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 45a8cfd55..553f527cf 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Automatic Speech Recognition CHI + title: Automatic Speech Recognition CHI (Large File) description: |+ This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. From 1c4f4e5b0482d84af4da806415b857fe007f3da0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 18 Feb 2022 18:44:26 +0530 Subject: [PATCH 3623/5916] Create demo_test1 --- voice/demo_test1 | 270 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 270 insertions(+) create mode 100644 voice/demo_test1 diff --git a/voice/demo_test1 b/voice/demo_test1 new file mode 100644 index 000000000..b5b13aedb --- /dev/null +++ b/voice/demo_test1 @@ -0,0 +1,270 @@ +openapi: 3.0.1 +info: + title: Automatic Speech Recognition CHI + description: |+ + This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text. This microservice works best when the audio file consists of mostly speech with no long pauses in between. + + The length of your audio should be **up to 20 seconds**. + x-additionalinfo: |+ + Suggested Use Cases: + - Extraction of text from Mandarin speech from audio files. + + - Extraction of text from Mandarin speech from videos. + + - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. + + - Enable voice control services - e.g. implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” + + - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. + version: '1.0.0' + x-subscribelink: automatic_speech_recognition_chi + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 20sec/Call + x-inputfilelimit: |+ + Process up to 20 seconds of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 20 seconds. + x-apidetailsdesc: |+ + Transcribes Mandarin speech content for CHI audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 07, 2021" +paths: + /microservices/voice/asrsch/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + results: + output: "和 许诺 的 含着 那 主力 候补 含住 探测 好的 海里 的 非礼" + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: output object + example: {""} + properties: + output: + type: string + example: 和 许诺 的 含着 那 主力 候补 含住 探测 好的 海里 的 非礼 + description: converted text + status: + type: string + example: Success + description: The status of the API call success/failure + message: + type: string + example: Successfully Processed + description: Status Message + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - wav_base64 + properties: + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input audio file in base64 format. + + Input file needs to be prefixed by the data type and encoding. + + + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Standardizing Input and Output Updated. + description: Latest Version + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 28, 2018 + x-details: Patch update on bug fixes + description: Depreciating on Apr 06, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 21, 2018 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From bc541afdbbf2e030420bbaf0c8f8fce9042e1c10 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 18 Feb 2022 18:44:56 +0530 Subject: [PATCH 3624/5916] Create demo_test2 --- voice/demo_test2 | 342 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 342 insertions(+) create mode 100644 voice/demo_test2 diff --git a/voice/demo_test2 b/voice/demo_test2 new file mode 100644 index 000000000..9c377033e --- /dev/null +++ b/voice/demo_test2 @@ -0,0 +1,342 @@ +openapi: 3.0.1 +info: + title: Automatic Speech Recognition ENG + description: |+ + This Voice microservice transcribes the input audio stream into text. + This microservice can be used on generic English or on specific use cases or accents. There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case + + The length of your audio should be **upto 60 seconds**. + version: '1.2.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands. + x-subscribelink: automatic_speech_recognition_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.2.0" + description: "Published Date - Apr 07, 2021" +paths: + /microservices/voice/asr/v1/getpredictions: + post: + tags: + - v1.2.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: + - seqNum: 1 + start: 0.64 + end: 23.72 + text: HELLO WORLD + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: [{ "" }] + description: List of Json Objects + items: + oneOf: + - type: object + example: {seqNum: 1,start: 1.0,end: 4.0,text: HELLO WORLD} + properties: + end: + type: float + format: float + example: 23.72 + description: End time of utterance in seconds + seqNum: + type: integer + example: 1 + description: Running sequence. Starts from 1. + start: + type: float + format: float + example: 0.64 + description: Start time of utterance in seconds + text: + type: string + description: Converted text from the input audio file + example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - model + - wav_base64 + properties: + model: + x-name: model + type: string + default: true + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. + + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input wav file in base64 format. + srt: + x-name: srt + type: array + default: false + example: [{seqNum: 1,start: 1.0,end: 4.0}] + description: |+ + Optional. An ordered array of utterance struct. Used for time-coding. + items: + oneOf: + - type: object + properties: + end: + x-name: end + type: float + format: float + default: false + example: "4.0" + description: |+ + "End time of utterance, in seconds. Offset from the start of stream." + seqNum: + x-name: seqNum + type: integer + default: false + example: "1" + description: |+ + "Running sequence. Starts from 1." + start: + x-name: start + type: float + format: float + default: false + example: "1.0" + description: |+ + "Start time of utterance, in seconds. Offset from the start of stream." + versions: + type: object + properties: + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Latest Version + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From b59852e12902635fe330fec6e3ab923d0f525d16 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 18 Feb 2022 18:45:32 +0530 Subject: [PATCH 3625/5916] Create demo_test3 --- utility/demo_test3 | 254 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 254 insertions(+) create mode 100644 utility/demo_test3 diff --git a/utility/demo_test3 b/utility/demo_test3 new file mode 100644 index 000000000..868a93600 --- /dev/null +++ b/utility/demo_test3 @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: CSV-JSON Convertor + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: csv-json_convertor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/utility/csvtojson/v1.0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=b66fb7b978a78d702e099b44ce7575de8a29834c23a6d365368022d7b1ab815e154100aa1648650e8b9ff9c038f0a61ac7d6d22b04195f18dfbf365e2050a7cbb29d9f87eb860fbe36f10573c941856341fa3117bbfee92bbd7e189ceca0a62fa8b78cb62647c4fc47e60e972c7c107088698924a7217571fee1900888c987fd80bdc078d4d765f6a4a65f4ff792c42344e07caf39b73961bee0d4b83407fda54e0d6b90fe528f62908ea54e3b07d8fba8098859330d6e9cc698f6cede40bdc05f1ec4efb29f1afc93572de52fe531d3b67fbdd035844a97b310e16eec17a4edeabdabb076b29bee9b1d44e0b90951c070046534f660d2fb291a1e1bae98ddc3 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From da1d7700e3979106c628f42f13e69ea5d37dc7de Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 18 Feb 2022 18:46:42 +0530 Subject: [PATCH 3626/5916] Rename demo_test3 to demo_test3.yaml --- utility/{demo_test3 => demo_test3.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{demo_test3 => demo_test3.yaml} (100%) diff --git a/utility/demo_test3 b/utility/demo_test3.yaml similarity index 100% rename from utility/demo_test3 rename to utility/demo_test3.yaml From f81df164b4ac63a4b33ac8d0fe158b70e7775a60 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 18 Feb 2022 18:47:14 +0530 Subject: [PATCH 3627/5916] Rename demo_test1 to demo_test1.yaml --- voice/{demo_test1 => demo_test1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{demo_test1 => demo_test1.yaml} (100%) diff --git a/voice/demo_test1 b/voice/demo_test1.yaml similarity index 100% rename from voice/demo_test1 rename to voice/demo_test1.yaml From 5b805b4bf4bf60aba7ee9bdac3d97ac97a39900b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 18 Feb 2022 18:47:44 +0530 Subject: [PATCH 3628/5916] Rename demo_test2 to demo_test2.yaml --- voice/{demo_test2 => demo_test2.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{demo_test2 => demo_test2.yaml} (100%) diff --git a/voice/demo_test2 b/voice/demo_test2.yaml similarity index 100% rename from voice/demo_test2 rename to voice/demo_test2.yaml From ac555f8f00f8572e29f1f6ed9a15669d894c0929 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 18 Feb 2022 20:20:43 +0530 Subject: [PATCH 3629/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 553f527cf..ffe6950cd 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -11,7 +11,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/asrsch_dev.pdf + https://storage.googleapis.com/lpdocs/docs/asrsch_prod.pdf x-subscribelink: automatic_speech_recognition_chi x-apitype: large file x-apitypedescription: |+ @@ -27,10 +27,10 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 30, 2021" + description: "Published Date - Feb 18, 2022" paths: /async/microservices/voice/asrsch/v0/getuploadurl: description: |+ @@ -419,7 +419,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 30, 2021 + example: Published Date - Feb 18, 2022 x-details: Initial version release description: Latest Version input: From 6ed3904e35dd90cec24b9decf9cfbd3441abe705 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 18 Feb 2022 20:25:26 +0530 Subject: [PATCH 3630/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 05c64a47b..e0c802d2c 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.2.1" - description: "Published Date - Dec 25, 2021" + description: "Published Date - Feb 18, 2022" paths: /microservices/voice/ttseng/v1/getpredictions: post: @@ -220,6 +220,14 @@ components: versions: type: object properties: + v1.3.1: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Feb 18,2022' + x-details: Model update + description: Archived v1.2.1: type: array items: @@ -227,7 +235,7 @@ components: - type: string example: 'Published Date - Dec 25,2021' x-details: Model update - description: Latest Version + description: Archived v1.1.1: type: array items: @@ -235,7 +243,7 @@ components: - type: string example: 'Published Date - Nov 09,2021' x-details: Model improvement with improved enunciation of acronyms. - description: Latest Version + description: Archived v1.0.1: type: array items: From 8231afe2eaa47c446079b4785357ac8be4cf485a Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 21 Feb 2022 11:54:07 +0800 Subject: [PATCH 3631/5916] Paraphrase ms name changed in yaml --- index.yaml | 6 +++--- nlp/{paraphrase.yaml => sentence_paraphrase.yaml} | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) rename nlp/{paraphrase.yaml => sentence_paraphrase.yaml} (98%) diff --git a/index.yaml b/index.yaml index e6244b5c3..bb9ea551d 100644 --- a/index.yaml +++ b/index.yaml @@ -98,10 +98,10 @@ nlp: versions: 2.0.0: 'named-entity_recognition_eng.yaml' 1.0.0: 'named-entity_recognition_eng_v1.0.yaml' - paraphrase: - title: Paraphrase + sentence_paraphrase: + title: Sentence paraphrase versions: - 0.1.0: 'paraphrase.yaml' + 0.1.0: 'sentence_paraphrase.yaml' spacy_ner: title: spaCy NER versions: diff --git a/nlp/paraphrase.yaml b/nlp/sentence_paraphrase.yaml similarity index 98% rename from nlp/paraphrase.yaml rename to nlp/sentence_paraphrase.yaml index 2765f7ad3..aa8752ef4 100644 --- a/nlp/paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -1,13 +1,13 @@ openapi: 3.0.1 info: - title: Paraphrase + title: Sentence paraphrase description: |+ This NLP microservice takes in English sentences in informal / colloquial tone and rewrites it in a formal tone. It helps to smooth out sentences that contains irregularities (profanities, grammatical errors, awkward sentence structures) that can be typically found in informal dialogues or conversations. The input text sentence should have less than 60 sub-words. Any excess words in the sentence beyond that limit will be ignored. As a word may often consist of 2 or more sub-words (e.g. “thumbnail” consists of the sub-words “thumb” and “nail”), generally, we suggest keeping the input sentence to around 30 to 50 words to be safe. version: v0.1.0 - x-subscribelink: paraphrase + x-subscribelink: sentence_paraphrase servers: - url: 'https://dev-apis.sentient.io' tags: From 7cb0ca30152f64d184f70b92e39a953b87b3ed09 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 21 Feb 2022 17:08:27 +0530 Subject: [PATCH 3632/5916] Add files via upload --- premium/content_profiling.yaml | 254 +++++++++++++++++++++++++ premium/fleet_optimisation.yaml | 254 +++++++++++++++++++++++++ premium/interest_profiling.yaml | 254 +++++++++++++++++++++++++ premium/load_optimisation.yaml | 254 +++++++++++++++++++++++++ premium/one-shot_object_detection.yaml | 254 +++++++++++++++++++++++++ premium/product_categorisation.yaml | 254 +++++++++++++++++++++++++ premium/product_recommendation.yaml | 254 +++++++++++++++++++++++++ premium/surface_defect_detection.yaml | 254 +++++++++++++++++++++++++ 8 files changed, 2032 insertions(+) create mode 100644 premium/content_profiling.yaml create mode 100644 premium/fleet_optimisation.yaml create mode 100644 premium/interest_profiling.yaml create mode 100644 premium/load_optimisation.yaml create mode 100644 premium/one-shot_object_detection.yaml create mode 100644 premium/product_categorisation.yaml create mode 100644 premium/product_recommendation.yaml create mode 100644 premium/surface_defect_detection.yaml diff --git a/premium/content_profiling.yaml b/premium/content_profiling.yaml new file mode 100644 index 000000000..9a312aed9 --- /dev/null +++ b/premium/content_profiling.yaml @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: Content Profiling + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: content_profiling + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/cip/contentprofile/v0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/premium/fleet_optimisation.yaml b/premium/fleet_optimisation.yaml new file mode 100644 index 000000000..08c234b4a --- /dev/null +++ b/premium/fleet_optimisation.yaml @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: Fleet Optimisation + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: fleet_optimisation + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/utility/csvtojson/v1.0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=b66fb7b978a78d702e099b44ce7575de8a29834c23a6d365368022d7b1ab815e154100aa1648650e8b9ff9c038f0a61ac7d6d22b04195f18dfbf365e2050a7cbb29d9f87eb860fbe36f10573c941856341fa3117bbfee92bbd7e189ceca0a62fa8b78cb62647c4fc47e60e972c7c107088698924a7217571fee1900888c987fd80bdc078d4d765f6a4a65f4ff792c42344e07caf39b73961bee0d4b83407fda54e0d6b90fe528f62908ea54e3b07d8fba8098859330d6e9cc698f6cede40bdc05f1ec4efb29f1afc93572de52fe531d3b67fbdd035844a97b310e16eec17a4edeabdabb076b29bee9b1d44e0b90951c070046534f660d2fb291a1e1bae98ddc3 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/premium/interest_profiling.yaml b/premium/interest_profiling.yaml new file mode 100644 index 000000000..5fff88aaf --- /dev/null +++ b/premium/interest_profiling.yaml @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: Interest Profiling + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: interest_profiling + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/cip/interestprofile/v0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/premium/load_optimisation.yaml b/premium/load_optimisation.yaml new file mode 100644 index 000000000..0612ffc74 --- /dev/null +++ b/premium/load_optimisation.yaml @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: Load Optimisation + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: load_optimisation + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/utility/csvtojson/v1.0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/premium/one-shot_object_detection.yaml b/premium/one-shot_object_detection.yaml new file mode 100644 index 000000000..443409399 --- /dev/null +++ b/premium/one-shot_object_detection.yaml @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: One-Shot Object Detection + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: one-shot_object_detection + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/utility/csvtojson/v1.0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/premium/product_categorisation.yaml b/premium/product_categorisation.yaml new file mode 100644 index 000000000..0b590e150 --- /dev/null +++ b/premium/product_categorisation.yaml @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: Product Categorisation + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: product_categorisation + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/utility/csvtojson/v1.0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=b66fb7b978a78d702e099b44ce7575de8a29834c23a6d365368022d7b1ab815e154100aa1648650e8b9ff9c038f0a61ac7d6d22b04195f18dfbf365e2050a7cbb29d9f87eb860fbe36f10573c941856341fa3117bbfee92bbd7e189ceca0a62fa8b78cb62647c4fc47e60e972c7c107088698924a7217571fee1900888c987fd80bdc078d4d765f6a4a65f4ff792c42344e07caf39b73961bee0d4b83407fda54e0d6b90fe528f62908ea54e3b07d8fba8098859330d6e9cc698f6cede40bdc05f1ec4efb29f1afc93572de52fe531d3b67fbdd035844a97b310e16eec17a4edeabdabb076b29bee9b1d44e0b90951c070046534f660d2fb291a1e1bae98ddc3 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/premium/product_recommendation.yaml b/premium/product_recommendation.yaml new file mode 100644 index 000000000..c7cb30a28 --- /dev/null +++ b/premium/product_recommendation.yaml @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: Product Recommendation + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: product_recommendation + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/recommedationengine/reuser/v0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/premium/surface_defect_detection.yaml b/premium/surface_defect_detection.yaml new file mode 100644 index 000000000..050e8bacb --- /dev/null +++ b/premium/surface_defect_detection.yaml @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: Surface Defect Detection + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: surface_defect_detection + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/utility/csvtojson/v1.0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Latest Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - csvfile + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From c57b0070ce9af25f93c90c6e0aff1598a18c749f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:17:34 +0530 Subject: [PATCH 3633/5916] Update sentence_paraphrase.yaml --- nlp/sentence_paraphrase.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/sentence_paraphrase.yaml b/nlp/sentence_paraphrase.yaml index aa8752ef4..51b846567 100644 --- a/nlp/sentence_paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: - title: Sentence paraphrase + title: Sentence Paraphrase description: |+ This NLP microservice takes in English sentences in informal / colloquial tone and rewrites it in a formal tone. It helps to smooth out sentences that contains irregularities (profanities, grammatical errors, awkward sentence structures) that can be typically found in informal dialogues or conversations. From 8db80d235d12e267322f47100b89621c5294b4c6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:18:11 +0530 Subject: [PATCH 3634/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index bb9ea551d..25501ff3a 100644 --- a/index.yaml +++ b/index.yaml @@ -99,7 +99,7 @@ nlp: 2.0.0: 'named-entity_recognition_eng.yaml' 1.0.0: 'named-entity_recognition_eng_v1.0.yaml' sentence_paraphrase: - title: Sentence paraphrase + title: Sentence Paraphrase versions: 0.1.0: 'sentence_paraphrase.yaml' spacy_ner: From 6e70da02cc89ef968846e845e5d0fdb3fea24dd4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:28:15 +0530 Subject: [PATCH 3635/5916] Update content_profiling.yaml --- premium/content_profiling.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/premium/content_profiling.yaml b/premium/content_profiling.yaml index 9a312aed9..e815f4c6d 100644 --- a/premium/content_profiling.yaml +++ b/premium/content_profiling.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: Content Profiling description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - - The size of your file should **not exceed 3.5 MB**. + This is Content Profiling Microservice. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. @@ -251,4 +249,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 6ecc570c637978f8b203296f5095d119cc82a3d6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:29:09 +0530 Subject: [PATCH 3636/5916] Update fleet_optimisation.yaml --- premium/fleet_optimisation.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/premium/fleet_optimisation.yaml b/premium/fleet_optimisation.yaml index 08c234b4a..2e433df14 100644 --- a/premium/fleet_optimisation.yaml +++ b/premium/fleet_optimisation.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: Fleet Optimisation description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - - The size of your file should **not exceed 3.5 MB**. + This is Fleet Optimisation Microservice. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. @@ -29,7 +27,7 @@ tags: - name: "v0.1.0" description: "Published Date - Jan 17, 2022" paths: - /microservices/utility/csvtojson/v1.0/getresults: + /microservices/premium/fleetoptimisation/v1.0/getresults: post: tags: - v0.1.0 @@ -251,4 +249,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 7efe09bf2bb1467195e1f46f7501d39725143660 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:29:48 +0530 Subject: [PATCH 3637/5916] Update interest_profiling.yaml --- premium/interest_profiling.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/premium/interest_profiling.yaml b/premium/interest_profiling.yaml index 5fff88aaf..2cb8691a7 100644 --- a/premium/interest_profiling.yaml +++ b/premium/interest_profiling.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: Interest Profiling description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - - The size of your file should **not exceed 3.5 MB**. + This is Interest Profiling Microservice. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. @@ -251,4 +249,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 434bb4a20287266856af671b14f6d4f7958b73e8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:30:04 +0530 Subject: [PATCH 3638/5916] Update fleet_optimisation.yaml --- premium/fleet_optimisation.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/premium/fleet_optimisation.yaml b/premium/fleet_optimisation.yaml index 2e433df14..b63adaf74 100644 --- a/premium/fleet_optimisation.yaml +++ b/premium/fleet_optimisation.yaml @@ -27,7 +27,7 @@ tags: - name: "v0.1.0" description: "Published Date - Jan 17, 2022" paths: - /microservices/premium/fleetoptimisation/v1.0/getresults: + /microservices/premium/fleetoptimisation/v0/getresults: post: tags: - v0.1.0 From 2970b6bb7d8a4864c106937653a8ee27c9805c4d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:30:57 +0530 Subject: [PATCH 3639/5916] Update load_optimisation.yaml --- premium/load_optimisation.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/premium/load_optimisation.yaml b/premium/load_optimisation.yaml index 0612ffc74..b2d718fce 100644 --- a/premium/load_optimisation.yaml +++ b/premium/load_optimisation.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: Load Optimisation description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - - The size of your file should **not exceed 3.5 MB**. + This is Load Optimisation Microservice. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. @@ -29,7 +27,7 @@ tags: - name: "v0.1.0" description: "Published Date - Jan 17, 2022" paths: - /microservices/utility/csvtojson/v1.0/getresults: + /microservices/premium/loadoptimisation/v0/getresults: post: tags: - v0.1.0 @@ -251,4 +249,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 04723808b96749b16f45371a2331206cc2a60fee Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:31:47 +0530 Subject: [PATCH 3640/5916] Update one-shot_object_detection.yaml --- premium/one-shot_object_detection.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/premium/one-shot_object_detection.yaml b/premium/one-shot_object_detection.yaml index 443409399..ad3632ee8 100644 --- a/premium/one-shot_object_detection.yaml +++ b/premium/one-shot_object_detection.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: One-Shot Object Detection description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - - The size of your file should **not exceed 3.5 MB**. + This is One-shot Object Detection Microservice. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. @@ -29,7 +27,7 @@ tags: - name: "v0.1.0" description: "Published Date - Jan 17, 2022" paths: - /microservices/utility/csvtojson/v1.0/getresults: + /microservices/premium/oneshotobjectdetection/v0/getresults: post: tags: - v0.1.0 @@ -251,4 +249,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 54d6d15c565c7c77ac84eef61083db13f34edaaa Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:32:29 +0530 Subject: [PATCH 3641/5916] Update product_categorisation.yaml --- premium/product_categorisation.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/premium/product_categorisation.yaml b/premium/product_categorisation.yaml index 0b590e150..836cce797 100644 --- a/premium/product_categorisation.yaml +++ b/premium/product_categorisation.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: Product Categorisation description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - - The size of your file should **not exceed 3.5 MB**. + This is Product Categorisation Microservice. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. @@ -29,7 +27,7 @@ tags: - name: "v0.1.0" description: "Published Date - Jan 17, 2022" paths: - /microservices/utility/csvtojson/v1.0/getresults: + /microservices/premium/productcategorisation/v1.0/getresults: post: tags: - v0.1.0 @@ -251,4 +249,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From a94e00f5484fb18004dc4d650e994b0f48247dec Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:33:02 +0530 Subject: [PATCH 3642/5916] Update product_recommendation.yaml --- premium/product_recommendation.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/premium/product_recommendation.yaml b/premium/product_recommendation.yaml index c7cb30a28..334303eff 100644 --- a/premium/product_recommendation.yaml +++ b/premium/product_recommendation.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: Product Recommendation description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - - The size of your file should **not exceed 3.5 MB**. + This is Product Recommendation Microservice. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. @@ -251,4 +249,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From ba2df9006e31ae0d82f6078965776fcbfb1e1d4d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:33:46 +0530 Subject: [PATCH 3643/5916] Update surface_defect_detection.yaml --- premium/surface_defect_detection.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/premium/surface_defect_detection.yaml b/premium/surface_defect_detection.yaml index 050e8bacb..54b85f81b 100644 --- a/premium/surface_defect_detection.yaml +++ b/premium/surface_defect_detection.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: Surface Defect Detection description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - - The size of your file should **not exceed 3.5 MB**. + This is Surface Defect Detection Microservice. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. @@ -29,7 +27,7 @@ tags: - name: "v0.1.0" description: "Published Date - Jan 17, 2022" paths: - /microservices/utility/csvtojson/v1.0/getresults: + /microservices/premium/surfacedefectdetection/v0/getresults: post: tags: - v0.1.0 @@ -251,4 +249,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From c251bc33d8e3038d18e8f84b185594f0cb3c1aa7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:45:53 +0530 Subject: [PATCH 3644/5916] Update content_profiling.yaml --- premium/content_profiling.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/premium/content_profiling.yaml b/premium/content_profiling.yaml index e815f4c6d..20ba716c8 100644 --- a/premium/content_profiling.yaml +++ b/premium/content_profiling.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ File size cannot exceed 3.5 MB. x-apidetailsdesc: |+ - Converts CSV file to JSON format. + COntent profiling microservice. servers: - url: 'https://apis.sentient.io' tags: From d26d2e620f4e5fe834f785b73f5bcbcf74d7136f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:46:18 +0530 Subject: [PATCH 3645/5916] Update fleet_optimisation.yaml --- premium/fleet_optimisation.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/premium/fleet_optimisation.yaml b/premium/fleet_optimisation.yaml index b63adaf74..99d69a490 100644 --- a/premium/fleet_optimisation.yaml +++ b/premium/fleet_optimisation.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ File size cannot exceed 3.5 MB. x-apidetailsdesc: |+ - Converts CSV file to JSON format. + Fleet optimisation microservice. servers: - url: 'https://apis.sentient.io' tags: From 5498a5f87706ffd08d46e59b8e615aa7e6661e0b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:46:45 +0530 Subject: [PATCH 3646/5916] Update interest_profiling.yaml --- premium/interest_profiling.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/premium/interest_profiling.yaml b/premium/interest_profiling.yaml index 2cb8691a7..b664d302c 100644 --- a/premium/interest_profiling.yaml +++ b/premium/interest_profiling.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ File size cannot exceed 3.5 MB. x-apidetailsdesc: |+ - Converts CSV file to JSON format. + Interest profiling microservice. servers: - url: 'https://apis.sentient.io' tags: From 76fa455e836a68bb29b09423daaa17f5427ab905 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:47:07 +0530 Subject: [PATCH 3647/5916] Update load_optimisation.yaml --- premium/load_optimisation.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/premium/load_optimisation.yaml b/premium/load_optimisation.yaml index b2d718fce..464d873e4 100644 --- a/premium/load_optimisation.yaml +++ b/premium/load_optimisation.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ File size cannot exceed 3.5 MB. x-apidetailsdesc: |+ - Converts CSV file to JSON format. + Load optimisation microservice. servers: - url: 'https://apis.sentient.io' tags: From 63b80926830b232f61bd2c97a7b471196c366ca8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:47:33 +0530 Subject: [PATCH 3648/5916] Update one-shot_object_detection.yaml --- premium/one-shot_object_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/premium/one-shot_object_detection.yaml b/premium/one-shot_object_detection.yaml index ad3632ee8..acac3cf40 100644 --- a/premium/one-shot_object_detection.yaml +++ b/premium/one-shot_object_detection.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ File size cannot exceed 3.5 MB. x-apidetailsdesc: |+ - Converts CSV file to JSON format. + One-shot object detection microservice. servers: - url: 'https://apis.sentient.io' tags: From 983bb44cbc8fdf29c00b7269470c84e24c074359 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:48:10 +0530 Subject: [PATCH 3649/5916] Update product_categorisation.yaml --- premium/product_categorisation.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/premium/product_categorisation.yaml b/premium/product_categorisation.yaml index 836cce797..d85dffdc2 100644 --- a/premium/product_categorisation.yaml +++ b/premium/product_categorisation.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ File size cannot exceed 3.5 MB. x-apidetailsdesc: |+ - Converts CSV file to JSON format. + Product categorisation microservice. servers: - url: 'https://apis.sentient.io' tags: From 3f9f718ea6570faddd8017dadf7dc49e404b5fea Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:48:33 +0530 Subject: [PATCH 3650/5916] Update product_recommendation.yaml --- premium/product_recommendation.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/premium/product_recommendation.yaml b/premium/product_recommendation.yaml index 334303eff..946d740ea 100644 --- a/premium/product_recommendation.yaml +++ b/premium/product_recommendation.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ File size cannot exceed 3.5 MB. x-apidetailsdesc: |+ - Converts CSV file to JSON format. + Product recommendation microservice. servers: - url: 'https://apis.sentient.io' tags: From ac7358460bfd645020659770dddb5ad6a15f5bb9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:49:00 +0530 Subject: [PATCH 3651/5916] Update surface_defect_detection.yaml --- premium/surface_defect_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/premium/surface_defect_detection.yaml b/premium/surface_defect_detection.yaml index 54b85f81b..4bf252baf 100644 --- a/premium/surface_defect_detection.yaml +++ b/premium/surface_defect_detection.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ File size cannot exceed 3.5 MB. x-apidetailsdesc: |+ - Converts CSV file to JSON format. + Surface defect detection microservice. servers: - url: 'https://apis.sentient.io' tags: From 875eeb1d00e5fad55ac2e221f188102ed5e72c43 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:52:44 +0530 Subject: [PATCH 3652/5916] Update surface_defect_detection.yaml --- premium/surface_defect_detection.yaml | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/premium/surface_defect_detection.yaml b/premium/surface_defect_detection.yaml index 4bf252baf..59e2f6e50 100644 --- a/premium/surface_defect_detection.yaml +++ b/premium/surface_defect_detection.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '0.0.1' x-subscribelink: surface_defect_detection x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.0.1" description: "Published Date - Jan 17, 2022" paths: /microservices/premium/surfacedefectdetection/v0/getresults: post: tags: - - v0.1.0 + - v0.0.1 responses: '200': description: Ok @@ -206,15 +206,7 @@ components: example: Failure versions: type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 17, 2022 - x-details: On Prem Setup Added - description: Latest Version + properties: v0.0.1: type: array items: @@ -222,7 +214,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Archived + description: Latest Version invalidinput: type: object properties: From df88c39647260228f55bba22da3b609328ebde7c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:53:25 +0530 Subject: [PATCH 3653/5916] Update product_recommendation.yaml --- premium/product_recommendation.yaml | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/premium/product_recommendation.yaml b/premium/product_recommendation.yaml index 946d740ea..e01ea8620 100644 --- a/premium/product_recommendation.yaml +++ b/premium/product_recommendation.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '0.0.1' x-subscribelink: product_recommendation x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.0.1" description: "Published Date - Jan 17, 2022" paths: /microservices/recommedationengine/reuser/v0/getresults: post: tags: - - v0.1.0 + - v0.0.1 responses: '200': description: Ok @@ -206,15 +206,7 @@ components: example: Failure versions: type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 17, 2022 - x-details: On Prem Setup Added - description: Latest Version + properties: v0.0.1: type: array items: @@ -222,7 +214,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Archived + description: Latest Version invalidinput: type: object properties: From 05faa0f252d3ee67ae290c5994aa0bec1f29cd4d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:54:04 +0530 Subject: [PATCH 3654/5916] Update product_categorisation.yaml --- premium/product_categorisation.yaml | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/premium/product_categorisation.yaml b/premium/product_categorisation.yaml index d85dffdc2..4f3f8a886 100644 --- a/premium/product_categorisation.yaml +++ b/premium/product_categorisation.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '0.0.1' x-subscribelink: product_categorisation x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.0.1" description: "Published Date - Jan 17, 2022" paths: /microservices/premium/productcategorisation/v1.0/getresults: post: tags: - - v0.1.0 + - v0.0.1 responses: '200': description: Ok @@ -206,15 +206,7 @@ components: example: Failure versions: type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 17, 2022 - x-details: On Prem Setup Added - description: Latest Version + properties: v0.0.1: type: array items: @@ -222,7 +214,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Archived + description: Latest Version invalidinput: type: object properties: From 4b51cb59bc67b87a348a83868407328b089afade Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:54:45 +0530 Subject: [PATCH 3655/5916] Update one-shot_object_detection.yaml --- premium/one-shot_object_detection.yaml | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/premium/one-shot_object_detection.yaml b/premium/one-shot_object_detection.yaml index acac3cf40..88e8fec26 100644 --- a/premium/one-shot_object_detection.yaml +++ b/premium/one-shot_object_detection.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '0.0.1' x-subscribelink: one-shot_object_detection x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.0.1" description: "Published Date - Jan 17, 2022" paths: /microservices/premium/oneshotobjectdetection/v0/getresults: post: tags: - - v0.1.0 + - v0.0.1 responses: '200': description: Ok @@ -206,15 +206,7 @@ components: example: Failure versions: type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 17, 2022 - x-details: On Prem Setup Added - description: Latest Version + properties: v0.0.1: type: array items: @@ -222,7 +214,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Archived + description: Latest Version invalidinput: type: object properties: From c197640ffb4049069319cf31febedd963054b32a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:55:26 +0530 Subject: [PATCH 3656/5916] Update load_optimisation.yaml --- premium/load_optimisation.yaml | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/premium/load_optimisation.yaml b/premium/load_optimisation.yaml index 464d873e4..dbd3d7e77 100644 --- a/premium/load_optimisation.yaml +++ b/premium/load_optimisation.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '0.0.1' x-subscribelink: load_optimisation x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.0.1" description: "Published Date - Jan 17, 2022" paths: /microservices/premium/loadoptimisation/v0/getresults: post: tags: - - v0.1.0 + - v0.0.1 responses: '200': description: Ok @@ -206,15 +206,7 @@ components: example: Failure versions: type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 17, 2022 - x-details: On Prem Setup Added - description: Latest Version + properties: v0.0.1: type: array items: @@ -222,7 +214,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Archived + description: Latest Version invalidinput: type: object properties: From aa5dab7060b6e43ccc3844926f9593e1fca27907 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:56:04 +0530 Subject: [PATCH 3657/5916] Update interest_profiling.yaml --- premium/interest_profiling.yaml | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/premium/interest_profiling.yaml b/premium/interest_profiling.yaml index b664d302c..0fa75f9da 100644 --- a/premium/interest_profiling.yaml +++ b/premium/interest_profiling.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '0.0.1' x-subscribelink: interest_profiling x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.0.1" description: "Published Date - Jan 17, 2022" paths: /microservices/cip/interestprofile/v0/getresults: post: tags: - - v0.1.0 + - v0.0.1 responses: '200': description: Ok @@ -206,15 +206,7 @@ components: example: Failure versions: type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 17, 2022 - x-details: On Prem Setup Added - description: Latest Version + properties: v0.0.1: type: array items: @@ -222,7 +214,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Archived + description: Latest Version invalidinput: type: object properties: From 930896ad6f42f1455798362152332aa779db5a5a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:56:43 +0530 Subject: [PATCH 3658/5916] Update fleet_optimisation.yaml --- premium/fleet_optimisation.yaml | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/premium/fleet_optimisation.yaml b/premium/fleet_optimisation.yaml index 99d69a490..436751949 100644 --- a/premium/fleet_optimisation.yaml +++ b/premium/fleet_optimisation.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '0.0.1' x-subscribelink: fleet_optimisation x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.0.1" description: "Published Date - Jan 17, 2022" paths: /microservices/premium/fleetoptimisation/v0/getresults: post: tags: - - v0.1.0 + - v0.0.1 responses: '200': description: Ok @@ -206,15 +206,7 @@ components: example: Failure versions: type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 17, 2022 - x-details: On Prem Setup Added - description: Latest Version + properties: v0.0.1: type: array items: @@ -222,7 +214,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Archived + description: Latest Version invalidinput: type: object properties: From f481650382b732ed500fdaf784a252e09b5c6d3b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Feb 2022 16:57:18 +0530 Subject: [PATCH 3659/5916] Update content_profiling.yaml --- premium/content_profiling.yaml | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/premium/content_profiling.yaml b/premium/content_profiling.yaml index 20ba716c8..7a1983d00 100644 --- a/premium/content_profiling.yaml +++ b/premium/content_profiling.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '0.0.1' x-subscribelink: content_profiling x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.0.1" description: "Published Date - Jan 17, 2022" paths: /microservices/cip/contentprofile/v0/getresults: post: tags: - - v0.1.0 + - v0.0.1 responses: '200': description: Ok @@ -206,15 +206,7 @@ components: example: Failure versions: type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 17, 2022 - x-details: On Prem Setup Added - description: Latest Version + properties: v0.0.1: type: array items: @@ -222,7 +214,7 @@ components: - type: string example: Published Date - May 15, 2020 x-details: Initial version release - description: Archived + description: Latest Version invalidinput: type: object properties: From 16ad4b9816039af548f2c98a200b15c36ff82aa9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 23 Feb 2022 12:43:34 +0530 Subject: [PATCH 3660/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 03d50bc5b..6cac7cd28 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -5,7 +5,6 @@ info: This Voice microservice takes in the input audio file and supports recognizing a short speech . The server returns the recognition result in a JSON format as a response. - Supports the following audio coding formats: WAV files, mp3. - - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html @@ -42,8 +41,8 @@ info: | Burmese (Myanmar) | my-MM | No | Yes | No | No | | Catalan (Spain) | ca-ES | No | Yes | No | No | | Chinese, Cantonese (Traditional Hong Kong) | yue-Hant-HK | No | Yes | No | No | - | Chinese, Mandarin (Simplified, China) | zh (cmn-Hans-CN) | Yes | Yes | No | No | - | Chinese, Mandarin (Traditional, Taiwan) | zh-TW (cmn-Hant-TW) | Yes | Yes | No | No | + | Chinese, Mandarin (Simplified, China) | zh | Yes | Yes | No | No | + | Chinese, Mandarin (Traditional, Taiwan) | zh-TW | Yes | Yes | No | No | | Croatian (Croatia) | hr-HR | No | Yes | No | No | | Czech (Czech Republic) | cs-CZ | Yes | Yes | Yes | No | | Danish (Denmark) | da-DK | Yes | Yes | Yes | No | From b078761f99f57f6073b496f317fa5fe8e4a5ada3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 23 Feb 2022 14:12:37 +0530 Subject: [PATCH 3661/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 6cac7cd28..586d64908 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -4,7 +4,7 @@ info: description: |+ This Voice microservice takes in the input audio file and supports recognizing a short speech . The server returns the recognition result in a JSON format as a response. - - Supports the following audio coding formats: WAV files, mp3. + - Supports the following audio coding formats: WAV, MP3 For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html From 332acf7dd2e632795a707f5f55ca4c6601b57451 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 23 Feb 2022 14:34:19 +0530 Subject: [PATCH 3662/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 586d64908..154728712 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -590,7 +590,7 @@ components: example: 'audio/wav' description: |+ Specify the content-type. Pick any one from below list based on input file type. - ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus","audio/webm","audio/3gpp","audio/3gpp2"] + ["audio/wav","audio/mpeg"] additional_param: x-name: additional_param type: object From 2c04f9afccf89033b16b285baee4aa8a13c8fe13 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 23 Feb 2022 14:36:54 +0530 Subject: [PATCH 3663/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 154728712..abb341afa 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -594,6 +594,7 @@ components: additional_param: x-name: additional_param type: object + default: true properties: language_code: x-name: language_code From acada73401b4fc8e45e22cb4ec0da96032b1acdc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 23 Feb 2022 16:48:14 +0530 Subject: [PATCH 3664/5916] Update sentence_paraphrase.yaml --- nlp/sentence_paraphrase.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/sentence_paraphrase.yaml b/nlp/sentence_paraphrase.yaml index 51b846567..f0735ddf6 100644 --- a/nlp/sentence_paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -9,10 +9,10 @@ info: version: v0.1.0 x-subscribelink: sentence_paraphrase servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Feb 18, 2022" + description: "Published Date - Feb 23, 2022" paths: /microservices/nlp/paraphrase/v0/getpredictions: post: @@ -206,7 +206,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 18, 2022 + example: Published Date - Feb 23, 2022 description: Initial Release input: type: object From c9d97b683cbabc53622d3cdc5059d99383acab98 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 23 Feb 2022 18:07:35 +0530 Subject: [PATCH 3665/5916] Update sentence_paraphrase.yaml --- nlp/sentence_paraphrase.yaml | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/nlp/sentence_paraphrase.yaml b/nlp/sentence_paraphrase.yaml index f0735ddf6..8633f2649 100644 --- a/nlp/sentence_paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -8,6 +8,19 @@ info: The input text sentence should have less than 60 sub-words. Any excess words in the sentence beyond that limit will be ignored. As a word may often consist of 2 or more sub-words (e.g. “thumbnail” consists of the sub-words “thumb” and “nail”), generally, we suggest keeping the input sentence to around 30 to 50 words to be safe. version: v0.1.0 x-subscribelink: sentence_paraphrase + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + English sentences in informal / colloquial tone and rewrites it in a formal tone. servers: - url: 'https://apis.sentient.io' tags: From 97075ce7212cbcb65fceb203310a003b57bf3862 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 09:23:34 +0530 Subject: [PATCH 3666/5916] Update sentence_paraphrase.yaml --- nlp/sentence_paraphrase.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/sentence_paraphrase.yaml b/nlp/sentence_paraphrase.yaml index 8633f2649..baee589ff 100644 --- a/nlp/sentence_paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -22,7 +22,7 @@ info: x-apidetailsdesc: |+ English sentences in informal / colloquial tone and rewrites it in a formal tone. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 23, 2022" From 962a1946539ae291cb263e3e4431d7d916195169 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 09:58:31 +0530 Subject: [PATCH 3667/5916] Update sentence_paraphrase.yaml --- nlp/sentence_paraphrase.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/sentence_paraphrase.yaml b/nlp/sentence_paraphrase.yaml index baee589ff..784fa30e4 100644 --- a/nlp/sentence_paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -10,15 +10,15 @@ info: x-subscribelink: sentence_paraphrase x-apitype: small file x-apitypedescription: |+ - Fast | Single-Call | 5000 characters/Call + Fast | Single-Call | 50 words/Call x-inputfilelimit: |+ - Process up to 5000 characters per API call. + Process up to 50 words per API call. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 5000 characters. + Limit cannot exceed 50 words. x-apidetailsdesc: |+ English sentences in informal / colloquial tone and rewrites it in a formal tone. servers: From c4a37698c8ba5c27a0c00ca6d109a31b88632b1e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 10:21:52 +0530 Subject: [PATCH 3668/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index a16cb5ef7..49cf1503c 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -136,7 +136,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 From dc5cdc1a8ca5f060674685c8e0d6f2dac11deb20 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 10:34:59 +0530 Subject: [PATCH 3669/5916] Update sentence_paraphrase.yaml --- nlp/sentence_paraphrase.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/sentence_paraphrase.yaml b/nlp/sentence_paraphrase.yaml index 784fa30e4..05d573886 100644 --- a/nlp/sentence_paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Feb 23, 2022" + description: "Published Date - Feb 24, 2022" paths: /microservices/nlp/paraphrase/v0/getpredictions: post: @@ -219,7 +219,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 23, 2022 + example: Published Date - Feb 24, 2022 description: Initial Release input: type: object From 402af7369c54c47927c60f4fea74f601d6205984 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 11:35:13 +0530 Subject: [PATCH 3670/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- ...ice_activity_detection_eng_large_file.yaml | 50 +++++++++++-------- 1 file changed, 28 insertions(+), 22 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 49cf1503c..24cabcba6 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -49,25 +49,21 @@ paths: message: Successfully Processed results: fields: - content-type: audio/mpeg - key: >- - 309/495/lp-vadasr/input/113test_7c949f4a2cdd4cfc87de9a66cbe53eea.mp3 - policy: >- - 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 + content-type: audio/wav + key: 309/495/lp-vadasr/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav + policy: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhdWRpby93YXYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDQ3NTE2MzZdLHsiY29udGVudC10eXBlIjoiYXVkaW8vd2F2In0seyJ4LWdvb2ctbWV0YS1hZGRpdGlvbmFsX3BhcmFtIjoie1wibW9kZWxcIjogXCJwcmVwYXJlZF9zcGVlY2hcIiwgXCJ0aHJlc2hvbGRcIjogMC40fSJ9LHsieC1nb29nLW1ldGEtb2lkIjoiMzA5In0seyJ4LWdvb2ctbWV0YS11aWQiOiI0OTUifSx7IngtZ29vZy1tZXRhLXVwbG9hZGVyIjoiMDE4MzI4NDJkMTc3NGU0ZmI3MTFkMzFiMzBmYTk0MzEifSx7IngtZ29vZy1tZXRhLXV1aWQiOiJjMWQ1NDI4ZTA4MDU0MGQ2OWE1NmU0ZGRhMmY3YTllOCJ9LHsiYnVja2V0IjoibHBfdXNlcl9zcGFjZV9wcm9kIn0seyJrZXkiOiIzMDkvNDk1L2xwLXZhZGFzci9pbnB1dC80dGVzdF9jMWQ1NDI4ZTA4MDU0MGQ2OWE1NmU0ZGRhMmY3YTllOC53YXYifSx7IngtZ29vZy1kYXRlIjoiMjAyMjAyMjRUMDQ1NjI1WiJ9LHsieC1nb29nLWNyZWRlbnRpYWwiOiJzZW50aWVudC1iaWdxdWVyeUBzZW50aWVudC0yMzE1MDkuaWFtLmdzZXJ2aWNlYWNjb3VudC5jb20vMjAyMjAyMjQvYXV0by9zdG9yYWdlL2dvb2c0X3JlcXVlc3QifSx7IngtZ29vZy1hbGdvcml0aG0iOiJHT09HNC1SU0EtU0hBMjU2In1dLCJleHBpcmF0aW9uIjoiMjAyMi0wMi0yNFQwNTo1NjoyNS4wNjk5NzVaIn0= x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211217/auto/storage/goog4_request - x-goog-date: 20211217T054423Z - x-goog-meta-additional_param: None + x-goog-credential: mailto:sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + x-goog-date: 20220224T045625Z + x-goog-meta-additional_param: '{"model": "prepared_speech", "threshold": 0.4}' x-goog-meta-oid: '309' x-goog-meta-uid: '495' - x-goog-meta-uploader: '0bb7339b0c4e476c9b6475e09034e233' - x-goog-meta-uuid: 7c949f4a2cdd4cfc87de9a66cbe53eea - x-goog-signature: >- - 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 - jid: 7c949f4a2cdd4cfc87de9a66cbe53eea - request_cost: 7.9361 - url: 'https://storage.googleapis.com/user_space_dev/' + x-goog-meta-uploader: '01832842d1774e4fb711d31b30fa9431' + x-goog-meta-uuid: c1d5428e080540d69a56e4dda2f7a9e8 + x-goog-signature: 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 + jid: c1d5428e080540d69a56e4dda2f7a9e8 + request_cost: 0.1019 + url: https://storage.googleapis.com/lp_user_space_prod/ status: Success '401': description: Unauthorized @@ -277,7 +273,7 @@ components: properties: content-type: type: string - example: text/plain + example: audio/wav description: Content type of the document policy: type: string @@ -486,12 +482,12 @@ components: content-type: type: string default: false - example: application/pdf + example: audio/wav description: Fields key: type: string default: false - example: 1757/2531/lp-vadasr/input/4test_61c2cadaaae5479fa24494a8a073b86c.wav + example: 309/495/lp-vadasr/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav description: Fields policy: type: string @@ -508,21 +504,31 @@ components: default: false example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields x-goog-meta-additional_param: type: string default: false - example: {\"password\": \"fffff\"} + example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" description: Fields x-goog-meta-oid: type: string default: false - example: 1 + example: 309 description: Fields x-goog-meta-uid: type: string default: false - example: 2 + example: 495 description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields x-goog-meta-uuid: type: string default: false From 4db0eca551a2d510965d18b6368c9dd209baf765 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 12:02:35 +0530 Subject: [PATCH 3671/5916] Update automatic_speech_recognition_chi_large_file.yaml --- ...tic_speech_recognition_chi_large_file.yaml | 136 +++++++++--------- 1 file changed, 71 insertions(+), 65 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index ffe6950cd..baea337dc 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -50,24 +50,21 @@ paths: results: fields: content-type: audio/wav - key: >- - 309/495/lp-alibabachiasr/input/chinetest_4f079ca05c614d789252db1d574664d8.wav - policy: >- - 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 + key: 309/495/lp-asrsch/input/4test_5292a71b45184424826c9089c103fb78.wav + policy: 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 x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request - x-goog-date: 20211220T042940Z - x-goog-meta-additional_param: None + x-goog-credential: sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + x-goog-date: 20220224T062321Z + x-goog-meta-additional_param: '{"inverse_text_normalization": false, "punctuation_prediction": + false}' x-goog-meta-oid: '309' x-goog-meta-uid: '495' - x-goog-meta-uploader: f3637e07bc3b45cdbc74686395df43fa - x-goog-meta-uuid: 4f079ca05c614d789252db1d574664d8 - x-goog-signature: >- - 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 - jid: e7fe34e9c21c4d75bc94051e476141c5 - request_cost: 0.0319 - url: 'https://storage.googleapis.com/user_space_dev/' + x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 + x-goog-meta-uuid: 5292a71b45184424826c9089c103fb78 + x-goog-signature: 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 + jid: 5292a71b45184424826c9089c103fb78 + request_cost: 1.2675 + url: https://storage.googleapis.com/lp_user_space_prod/ status: Success '401': description: Unauthorized @@ -136,7 +133,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -449,85 +446,94 @@ components: example: 'audio/wav' description: |+ Specify the content-type. Pick any one from below list based on input file type. - ["audio/wav", "audio/opus", "audio/mpeg"] - inverse_text_normalization: - type: boolean - default: false - example: false - description: - Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values - True and False. Default value - False. - punctuation_prediction: - type: boolean - default: false - example: false - description: - Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] + additional_param: + x-name: additional_param + type: object + properties: + inverse_text_normalization: + type: boolean + default: false + example: false + description: + Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values - True and False. Default value - False. + punctuation_prediction: + type: boolean + default: false + example: false + description: + Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. uploadinput: type: object required: - filePath properties: - fields: - type: object - example: - - description: Json Object of returned results + filePath: + type: string + format: binary + default: true + example: sample.wav + description: file content-type: type: string - example: text/plain - description: Content type of the document + default: false + example: audio/wav + description: Fields + key: + type: string + default: false + example: 309/495/lp-asrsch/input/4test_5292a71b45184424826c9089c103fb78.wav + description: Fields policy: type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW5... - description: Content type of the document + default: false + example: 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 + description: Fields x-goog-algorithm: type: string + default: false example: GOOG4-RSA-SHA256 - description: Google algorithm + description: Fields x-goog-credential: type: string - example: sentient-dev-bigqu... - description: Google algorithm + default: false + example: sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + description: Fields x-goog-date: type: string - example: 20211220T042940Z - description: Google algorithm + default: false + example: 20220224T045625Z + description: Fields x-goog-meta-additional_param: type: string - example: None - description: Google algorithm + default: false + example: "{\"inverse_text_normalization\": false, \"punctuation_prediction\": false}" + description: Fields x-goog-meta-oid: type: string + default: false example: 309 - description: Google algorithm + description: Fields x-goog-meta-uid: type: string + default: false example: 495 - description: Google algorithm + description: Fields x-goog-meta-uploader: type: string - example: f3637e07bc3b45cdbc74686395df43fa - description: Google algorithm + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields x-goog-meta-uuid: type: string - example: 4f079ca05c614d789252db1d574664d8 - description: Google algorithm + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields x-goog-signature: type: string - example: 304d7e52afcea3d6e41818b7c3c71973f275... - description: Google algorithm - jid: - type: string - example: e7fe34e9c21c4d75bc94051e476141c5 - description: Google algorithm - request_cost: - type: string - example: 0.0298 - description: Google algorithm - url: - type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm + default: false + example: 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 + description: Fields status: type: string example: Success From e18bb3e024020b8b3f557cad5402d5db11fabad9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 12:54:45 +0530 Subject: [PATCH 3672/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 55 +++++++++++++++----------- 1 file changed, 31 insertions(+), 24 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index b4c9574c8..425459a61 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -3,7 +3,6 @@ info: title: Text Summarization (Large File) description: |+ This NLP microservice takes in any given input text blurb and generates a summary. - x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: @@ -24,7 +23,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Dec 30, 2021" @@ -46,23 +45,21 @@ paths: message: Successfully Processed results: fields: - content-type: text/plain - key: 1/2/lp-textsummarisation/input/test_1991d4936ddb4728afaa06cb260b0253.txt - policy: >- - 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 + content-type: application/pdf + key: 309/495/lp-textsummarisation/input/sample_a6b23b313b134defab37d4da65dbb3fe.pdf + policy: 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 x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request - x-goog-date: 20211123T105846Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '1' - x-goog-meta-uid: '2' - x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 - x-goog-signature: >- - 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 - jid: 1991d4936ddb4728afaa06cb260b0253 - request_cost: 0 - url: 'https://storage.googleapis.com/user_space_dev/' + x-goog-credential: sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + x-goog-date: 20220224T071943Z + x-goog-meta-additional_param: '{"password": "******"}' + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 32fae173f1224b5e8cd01a3f6ec7ca50 + x-goog-meta-uuid: a6b23b313b134defab37d4da65dbb3fe + x-goog-signature: 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 + jid: a6b23b313b134defab37d4da65dbb3fe + request_cost: 0.0742 + url: https://storage.googleapis.com/lp_user_space_prod/ status: Success '401': description: Unauthorized @@ -131,7 +128,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -475,7 +472,7 @@ components: key: type: string default: false - example: 1/2/lp-textsummarisation/input/Pdf_6mb_cf3d329bd9df4cef91966c336386eea3.pdf + example: 309/495/lp-textsummarisation/input/sample_a6b23b313b134defab37d4da65dbb3fe.pdf description: Fields policy: type: string @@ -492,21 +489,31 @@ components: default: false example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields x-goog-meta-additional_param: type: string default: false - example: {\"password\": \"fffff\"} + example: "{\"password\": \"******\"}" description: Fields x-goog-meta-oid: type: string default: false - example: 1 + example: 309 description: Fields x-goog-meta-uid: type: string default: false - example: 2 + example: 495 description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields x-goog-meta-uuid: type: string default: false @@ -516,7 +523,7 @@ components: type: string default: false example: 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 - description: Fields + description: Fieldss securitySchemes: APIAuthorizer: type: apiKey From 87409dba30e4925631369fbab59429a2028a5722 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 13:04:51 +0530 Subject: [PATCH 3673/5916] Update people_counting_large_file.yaml --- .../people_counting_large_file.yaml | 28 +++++++++++++------ 1 file changed, 19 insertions(+), 9 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index d91ecdb87..08f688687 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Dec 30, 2021" @@ -131,7 +131,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -454,7 +454,7 @@ components: type: string format: binary default: true - example: sample.mp4 + example: sample.wav description: file content-type: type: string @@ -464,7 +464,7 @@ components: key: type: string default: false - example: 1/2/lp-textsummarisation/input/Pdf_6mb_cf3d329bd9df4cef91966c336386eea3.pdf + example: 309/495/lp-peoplecounting/input/sample_e10653217c9640fba57c02eb43d8e27b.mp4 description: Fields policy: type: string @@ -479,23 +479,33 @@ components: x-goog-credential: type: string default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + example: sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields x-goog-meta-additional_param: type: string default: false - example: {\"password\": \"fffff\"} + example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" description: Fields x-goog-meta-oid: type: string default: false - example: 1 + example: 309 description: Fields x-goog-meta-uid: type: string default: false - example: 2 + example: 495 description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields x-goog-meta-uuid: type: string default: false @@ -505,7 +515,7 @@ components: type: string default: false example: 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 - description: Fields + description: Fields securitySchemes: APIAuthorizer: type: apiKey From 896966d329f2f84f174830444011ca7bde6027cc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 13:09:38 +0530 Subject: [PATCH 3674/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index baea337dc..493fbe648 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -9,7 +9,7 @@ info: - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. version: '0.1.0' x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/asrsch_prod.pdf x-subscribelink: automatic_speech_recognition_chi From 5845b6e62c5306825cba2ba4b02b16e0dabd60e7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 13:29:18 +0530 Subject: [PATCH 3675/5916] Update sentence_paraphrase.yaml --- nlp/sentence_paraphrase.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/nlp/sentence_paraphrase.yaml b/nlp/sentence_paraphrase.yaml index 05d573886..484fee65e 100644 --- a/nlp/sentence_paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -220,6 +220,7 @@ components: oneOf: - type: string example: Published Date - Feb 24, 2022 + x-details: Initial version release description: Initial Release input: type: object From 2518e084e4b66e919693cc6a859f6488b3f37e6a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 15:27:02 +0530 Subject: [PATCH 3676/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 425459a61..7a6ce30cf 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/text_summarization.pdf + https://storage.googleapis.com/lpdocs/docs/text_summarization_prod.pdf version: '0.1.0' x-subscribelink: text_summarization_large_file x-apitype: small file From affedd6393e10ca1601daa1cb3d6c4b9edcb1b13 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 24 Feb 2022 15:34:00 +0530 Subject: [PATCH 3677/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 08f688687..7c9e35d5f 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -7,7 +7,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/people_counting.pdf + https://storage.googleapis.com/lpdocs/docs/people_counting_prod.pdf version: '0.1.0' x-subscribelink: people_counting_large_file x-apitype: large file From 61401492472cbf901ba74494ba5833724c68322c Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 25 Feb 2022 15:36:23 +0800 Subject: [PATCH 3678/5916] vadasr yaml edited --- ...asr_with_voice_activity_detection_eng.yaml | 36 +------------------ 1 file changed, 1 insertion(+), 35 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index e37de64ed..affef8bd7 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.2.2" - description: "Published Date - Jan 28, 2022" + description: "Published Date - Feb 25, 2022" paths: /microservices/voice/vadasr/v2/getpredictions: post: @@ -268,40 +268,6 @@ components: example: false description: |+ Optional. Boolean value true or false to decide whether vad required or not - srt: - x-name: srt - type: array - default: false - example: [{seqNum: 1,start: 1.0,end: 4.0}] - description: |+ - Optional parameter to be used only if vad is false. An ordered array of utterance struct. Used for time-coding. - items: - oneOf: - - type: object - properties: - end: - x-name: end - type: float - format: float - default: false - example: "4.0" - description: |+ - "End time of utterance, in seconds. Offset from the start of stream." - seqNum: - x-name: seqNum - type: integer - default: false - example: "1" - description: |+ - "Running sequence. Starts from 1." - start: - x-name: start - type: float - format: float - default: false - example: "1.0" - description: |+ - "Start time of utterance, in seconds. Offset from the start of stream." threshold: x-name: threshold type: number From 12b432f19fa63fe7a5ec14b25998eb2adfd1c1ca Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 25 Feb 2022 17:39:42 +0800 Subject: [PATCH 3679/5916] Final docs mergedner --- nlp/named-entity_recognition_eng.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 22d26a201..159e385ae 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -33,7 +33,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jan 28, 2022" + description: "Published Date - Feb 25, 2022" paths: /microservices/nlp/namedentityrecognition/v2/getpredictions: post: @@ -46,7 +46,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"cardinal": [{"end_char": 47,"entity": "77","start_char": 45},{"end_char": 527,"entity": "11.59pm","start_char": 520},{"end_char": 571,"entity": "14","start_char": 569}],"status": "Success"}} + example: {"message": "Successfully Processed","results": {"cardinal": [{"entity": "77","start_char": 45,"end_char": 47},{"entity": "11.59pm","start_char": 520,"end_char": 527},{"entity": "14","start_char": 569,"end_char": 571}],"status": "Success"}} '401': description: Unauthorized content: @@ -125,10 +125,10 @@ components: example: [{"end_char": 3,"entity": "Donald Trump","start_char": 1}] description: People, including fictional. misc: - x-name: misc + x-name: other type: array example: [{"entity":"Chinese","start_char": 1,"end_char": 2},{"entity":Singaporean,"start_char": 4,"end_char": 5},{"entity": Malay,"start_char": 6,"end_char": 7}] - description: Nationalities or religious or political groups. + description: Other miscellaneous classes. facility: x-name: facility type: array @@ -306,7 +306,7 @@ components: items: oneOf: - type: string - example: Published Date - Jan 28, 2022 + example: Published Date - Feb 25, 2022 x-details: Merged Spacy ner and change in Output format description: Latest Version v1.0.0: @@ -342,8 +342,8 @@ components: return_entity_position: x-name: return_entity_position type: boolean - default: true - example: true + default: false + example: false description: |+ Boolean value indicating whether entity position needs to be returned or not. Default value is True. legacy_output: From 7b37981191621a854520da563606603213fbd5aa Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 25 Feb 2022 17:53:01 +0800 Subject: [PATCH 3680/5916] Final docs mergedner --- nlp/named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 159e385ae..88d01f041 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -124,7 +124,7 @@ components: type: array example: [{"end_char": 3,"entity": "Donald Trump","start_char": 1}] description: People, including fictional. - misc: + other: x-name: other type: array example: [{"entity":"Chinese","start_char": 1,"end_char": 2},{"entity":Singaporean,"start_char": 4,"end_char": 5},{"entity": Malay,"start_char": 6,"end_char": 7}] From 68454576484e90beb543616f096327cff3890926 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 25 Feb 2022 17:55:28 +0800 Subject: [PATCH 3681/5916] Final docs mergedner --- nlp/named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 88d01f041..90f8d9180 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -343,7 +343,7 @@ components: x-name: return_entity_position type: boolean default: false - example: false + example: true description: |+ Boolean value indicating whether entity position needs to be returned or not. Default value is True. legacy_output: From 9df6322b01da831477da9481c2e926200afc5c74 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 25 Feb 2022 15:47:29 +0530 Subject: [PATCH 3682/5916] Update landmark_recognition.yaml --- computer_vision/landmark_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/landmark_recognition.yaml b/computer_vision/landmark_recognition.yaml index 45f6003d2..7a2427340 100644 --- a/computer_vision/landmark_recognition.yaml +++ b/computer_vision/landmark_recognition.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Identifies Singapore & Japan landmarks from multiple input images. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Feb 18, 2022" From 9b1c9dc0b5b42db4ad361e355e6083af4a962982 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 25 Feb 2022 18:18:06 +0800 Subject: [PATCH 3683/5916] asr v2 yaml added --- index.yaml | 3 +- voice/automatic_speech_recognition_eng.yaml | 92 ++--- ...automatic_speech_recognition_eng_v1.2.yaml | 342 ++++++++++++++++++ 3 files changed, 384 insertions(+), 53 deletions(-) create mode 100644 voice/automatic_speech_recognition_eng_v1.2.yaml diff --git a/index.yaml b/index.yaml index 25501ff3a..5e50f766d 100644 --- a/index.yaml +++ b/index.yaml @@ -27,7 +27,8 @@ voice: automatic_speech_recognition_eng: title: Automatic Speech Recognition ENG versions: - 1.2.0: 'automatic_speech_recognition_eng.yaml' + 2.2.0: 'automatic_speech_recognition_eng.yaml' + 1.2.0: 'automatic_speech_recognition_eng_v1.2.yaml' automatic_speech_recognition_chi: title: Automatic Speech Recognition CHI versions: diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 64cf621aa..e5c757eb3 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -2,11 +2,10 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition ENG description: |+ - This Voice microservice transcribes the input audio stream into text. - This microservice can be used on generic English or on specific use cases or accents. There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - - The length of your audio should be **upto 60 seconds**. - version: '1.2.0' + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. The input can be bypassed to asr without passing through vad by setting the optional paramater "vad" to false. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case + The length of your audio should be **up to 60 seconds**. + version: '2.2.0' x-additionalinfo: |+ Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands. @@ -25,15 +24,15 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.2.0" - description: "Published Date - Apr 07, 2021" +- name: "v2.2.0" + description: "Published Date - Feb 25, 2022" paths: - /microservices/voice/asr/v1/getpredictions: + /microservices/voice/asr/v2/getpredictions: post: tags: - - v1.2.0 + - v2.2.0 responses: '200': description: Ok @@ -44,7 +43,7 @@ paths: example: results: output: - - seqNum: 1 + - sequence: 1 start: 0.64 end: 23.72 text: HELLO WORLD @@ -129,14 +128,9 @@ components: items: oneOf: - type: object - example: {seqNum: 1,start: 1.0,end: 4.0,text: HELLO WORLD} + example: {sequence: 1,start: 1.0,end: 4.0,text: HELLO WORLD} properties: - end: - type: float - format: float - example: 23.72 - description: End time of utterance in seconds - seqNum: + sequence: type: integer example: 1 description: Running sequence. Starts from 1. @@ -145,6 +139,11 @@ components: format: float example: 0.64 description: Start time of utterance in seconds + end: + type: float + format: float + example: 23.72 + description: End time of utterance in seconds text: type: string description: Converted text from the input audio file @@ -260,46 +259,35 @@ components: x-name: wav_base64 type: string default: true - example: UklGRkbiBABXQVZFZm10IBAAAAABA... + example: 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 description: |+ Input wav file in base64 format. - srt: - x-name: srt - type: array + voice_activity_detection: + x-name: voice_activity_detection + type: boolean default: false - example: [{seqNum: 1,start: 1.0,end: 4.0}] + example: false description: |+ - Optional. An ordered array of utterance struct. Used for time-coding. - items: - oneOf: - - type: object - properties: - end: - x-name: end - type: float - format: float - default: false - example: "4.0" - description: |+ - "End time of utterance, in seconds. Offset from the start of stream." - seqNum: - x-name: seqNum - type: integer - default: false - example: "1" - description: |+ - "Running sequence. Starts from 1." - start: - x-name: start - type: float - format: float - default: false - example: "1.0" - description: |+ - "Start time of utterance, in seconds. Offset from the start of stream." - versions: + Optional. Boolean value true or false to decide whether vad required or not. + threshold: + x-name: threshold + type: number + format: float + default: false + example: 0.4 + description: |+ + Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + type: object properties: + v2.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 25, 2021 + x-details: Input parameter srt removed,output parameter seqNum changed to sequence + description: Latest Version v1.2.0: type: array items: diff --git a/voice/automatic_speech_recognition_eng_v1.2.yaml b/voice/automatic_speech_recognition_eng_v1.2.yaml new file mode 100644 index 000000000..64cf621aa --- /dev/null +++ b/voice/automatic_speech_recognition_eng_v1.2.yaml @@ -0,0 +1,342 @@ +openapi: 3.0.1 +info: + title: Automatic Speech Recognition ENG + description: |+ + This Voice microservice transcribes the input audio stream into text. + This microservice can be used on generic English or on specific use cases or accents. There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case + + The length of your audio should be **upto 60 seconds**. + version: '1.2.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands. + x-subscribelink: automatic_speech_recognition_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 60sec/Call + x-inputfilelimit: |+ + Process up to 60 seconds (1 minute) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 60 seconds (1 minute). + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.2.0" + description: "Published Date - Apr 07, 2021" +paths: + /microservices/voice/asr/v1/getpredictions: + post: + tags: + - v1.2.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: + - seqNum: 1 + start: 0.64 + end: 23.72 + text: HELLO WORLD + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: [{ "" }] + description: List of Json Objects + items: + oneOf: + - type: object + example: {seqNum: 1,start: 1.0,end: 4.0,text: HELLO WORLD} + properties: + end: + type: float + format: float + example: 23.72 + description: End time of utterance in seconds + seqNum: + type: integer + example: 1 + description: Running sequence. Starts from 1. + start: + type: float + format: float + example: 0.64 + description: Start time of utterance in seconds + text: + type: string + description: Converted text from the input audio file + example: THE COMING YEAR LIFE FOR A REASON A CITIZEN OR A LIFETIME LIKE YOU WHEN SOMEONE IS IN YOUR LIFE A REASON IT USUALLY TO MEET IN NEED WITHIN YOU HAVE NEVER MET YOU BUT I LIKE YOU WHEN SOMEONE IS IN YOUR LIFE FOR A SEASON IS BECAUSE IT IS YOUR TURN TO SHARE LEARN AND GROW AND WANT SOMEONE IN YOUR LIFE FOR A LIFETIME IT CITY THROUGH LESSONS AND IF NOT WHAT THE PEOPLE + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - model + - wav_base64 + properties: + model: + x-name: model + type: string + default: true + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. + + wav_base64: + x-name: wav_base64 + type: string + default: true + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + description: |+ + Input wav file in base64 format. + srt: + x-name: srt + type: array + default: false + example: [{seqNum: 1,start: 1.0,end: 4.0}] + description: |+ + Optional. An ordered array of utterance struct. Used for time-coding. + items: + oneOf: + - type: object + properties: + end: + x-name: end + type: float + format: float + default: false + example: "4.0" + description: |+ + "End time of utterance, in seconds. Offset from the start of stream." + seqNum: + x-name: seqNum + type: integer + default: false + example: "1" + description: |+ + "Running sequence. Starts from 1." + start: + x-name: start + type: float + format: float + default: false + example: "1.0" + description: |+ + "Start time of utterance, in seconds. Offset from the start of stream." + versions: + type: object + properties: + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Latest Version + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From 0154dc26de637a8be569d3dbf3b5936bc4d77273 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 25 Feb 2022 15:50:56 +0530 Subject: [PATCH 3684/5916] Update landmark_recognition.yaml --- computer_vision/landmark_recognition.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/landmark_recognition.yaml b/computer_vision/landmark_recognition.yaml index 7a2427340..ff3fa8032 100644 --- a/computer_vision/landmark_recognition.yaml +++ b/computer_vision/landmark_recognition.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Feb 18, 2022" + description: "Published Date - Feb 25, 2022" paths: /microservices/cv/landmarkdetection/v1/getpredictions: post: @@ -242,7 +242,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 18, 2022 + example: Published Date - Feb 25, 2022 description: Initial release. The previous Landmark Detection (SG) and Landmark Detection (JP) has been merged into this new microservice. input: type: object From 5a4c112a1ac7cfaf132601da8bb6c76c06716d30 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 25 Feb 2022 15:57:02 +0530 Subject: [PATCH 3685/5916] Rename landmark_recognition.yaml to landmark_detection.yaml --- .../{landmark_recognition.yaml => landmark_detection.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename computer_vision/{landmark_recognition.yaml => landmark_detection.yaml} (100%) diff --git a/computer_vision/landmark_recognition.yaml b/computer_vision/landmark_detection.yaml similarity index 100% rename from computer_vision/landmark_recognition.yaml rename to computer_vision/landmark_detection.yaml From 29f6e0ee51f14069d76d69f0b4e9e4782350e961 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 25 Feb 2022 15:58:35 +0530 Subject: [PATCH 3686/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 25501ff3a..414ae495e 100644 --- a/index.yaml +++ b/index.yaml @@ -196,7 +196,7 @@ computer vision: landmark_detection: title: Landmark Detection versions: - 1.0.0: 'landmark_recognition.yaml' + 1.0.0: 'landmark_detection.yaml' landmark_recognition_sg: title: Landmark Detection (SG) versions: From 9fefb019590e7bd9503a5a093e47e62b60903f80 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 25 Feb 2022 17:44:18 +0530 Subject: [PATCH 3687/5916] Update landmark_detection.yaml --- computer_vision/landmark_detection.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/computer_vision/landmark_detection.yaml b/computer_vision/landmark_detection.yaml index ff3fa8032..ed2a5afba 100644 --- a/computer_vision/landmark_detection.yaml +++ b/computer_vision/landmark_detection.yaml @@ -243,6 +243,7 @@ components: oneOf: - type: string example: Published Date - Feb 25, 2022 + x-details: Initial version release description: Initial release. The previous Landmark Detection (SG) and Landmark Detection (JP) has been merged into this new microservice. input: type: object From 5f0af1db79c380259e4cbaea9272b786e60d762c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 25 Feb 2022 18:54:04 +0530 Subject: [PATCH 3688/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index e5c757eb3..2924082f8 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -135,13 +135,11 @@ components: example: 1 description: Running sequence. Starts from 1. start: - type: float - format: float + type: number example: 0.64 description: Start time of utterance in seconds end: - type: float - format: float + type: number example: 23.72 description: End time of utterance in seconds text: @@ -278,6 +276,7 @@ components: description: |+ Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + versions: type: object properties: v2.2.0: From cd7a6759648a6cbbb0ba727b105cfc4b98145b2f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Feb 2022 09:00:16 +0530 Subject: [PATCH 3689/5916] Update named-entity_recognition_eng.yaml --- nlp/named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 90f8d9180..884b105ec 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -30,7 +30,7 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured English text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Feb 25, 2022" From 1728935478f2119759e420ce0e1b737deb3b5205 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Feb 2022 09:20:57 +0530 Subject: [PATCH 3690/5916] Update named-entity_recognition_eng.yaml --- nlp/named-entity_recognition_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 884b105ec..8f1db6185 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -33,7 +33,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Feb 25, 2022" + description: "Published Date - Feb 28, 2022" paths: /microservices/nlp/namedentityrecognition/v2/getpredictions: post: @@ -306,7 +306,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 25, 2022 + example: Published Date - Feb 28, 2022 x-details: Merged Spacy ner and change in Output format description: Latest Version v1.0.0: From 2461c29fde6885c436949d8cdc149ba7a8bb9c70 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Feb 2022 09:23:08 +0530 Subject: [PATCH 3691/5916] Update named-entity_recognition_eng_v1.0.yaml --- nlp/named-entity_recognition_eng_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng_v1.0.yaml b/nlp/named-entity_recognition_eng_v1.0.yaml index b1a3f6d7c..eec0e99ba 100644 --- a/nlp/named-entity_recognition_eng_v1.0.yaml +++ b/nlp/named-entity_recognition_eng_v1.0.yaml @@ -250,7 +250,7 @@ components: items: oneOf: - type: string - example: Published Date - Jan 28, 2022 + example: Published Date - Feb 28, 2022 x-details: Merged Spacy ner and change in Output format description: Latest Version v1.0.0: From edebf68e6af3420e8b0dfc707e1720df4d189666 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Feb 2022 09:50:06 +0530 Subject: [PATCH 3692/5916] Update automatic_speech_recognition_eng_v1.2.yaml --- voice/automatic_speech_recognition_eng_v1.2.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/voice/automatic_speech_recognition_eng_v1.2.yaml b/voice/automatic_speech_recognition_eng_v1.2.yaml index 64cf621aa..362af33d2 100644 --- a/voice/automatic_speech_recognition_eng_v1.2.yaml +++ b/voice/automatic_speech_recognition_eng_v1.2.yaml @@ -300,6 +300,14 @@ components: versions: type: object properties: + v2.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 25, 2022 + x-details: Input parameter srt removed,output parameter seqNum changed to sequence + description: Latest Version v1.2.0: type: array items: From 7198b6bdc8a0339a5ec7680e47a4b045612835bc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Feb 2022 09:50:13 +0530 Subject: [PATCH 3693/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 2924082f8..dd2280ff5 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -284,7 +284,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 25, 2021 + example: Published Date - Feb 25, 2022 x-details: Input parameter srt removed,output parameter seqNum changed to sequence description: Latest Version v1.2.0: From 414080b3a272b41fba87c1483137fac29f8c6ff9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Feb 2022 10:00:48 +0530 Subject: [PATCH 3694/5916] Update named-entity_recognition_eng.yaml --- nlp/named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 8f1db6185..e223aaa0a 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -30,7 +30,7 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured English text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Feb 28, 2022" From bb61063405ed354d41bb501490907a7e4d0a9a2d Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 28 Feb 2022 12:38:22 +0800 Subject: [PATCH 3695/5916] ner yaml update --- nlp/named-entity_recognition_eng.yaml | 38 +++++++++++++-------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index e223aaa0a..e37340436 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -46,7 +46,7 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"cardinal": [{"entity": "77","start_char": 45,"end_char": 47},{"entity": "11.59pm","start_char": 520,"end_char": 527},{"entity": "14","start_char": 569,"end_char": 571}],"status": "Success"}} + example: {"message": "Successfully Processed","results": {"cardinal": [{"entity": "77","start": 45,"end": 47},{"entity": "11.59pm","start": 520,"end": 527},{"entity": "14","start": 569,"end": 571}],"status": "Success"}} '401': description: Unauthorized content: @@ -122,92 +122,92 @@ components: person: x-name: person type: array - example: [{"end_char": 3,"entity": "Donald Trump","start_char": 1}] + example: [{"end": 3,"entity": "Donald Trump","start": 1}] description: People, including fictional. other: x-name: other type: array - example: [{"entity":"Chinese","start_char": 1,"end_char": 2},{"entity":Singaporean,"start_char": 4,"end_char": 5},{"entity": Malay,"start_char": 6,"end_char": 7}] + example: [{"entity":"Chinese","start": 1,"end": 2},{"entity":Singaporean,"start": 4,"end": 5},{"entity": Malay,"start": 6,"end": 7}] description: Other miscellaneous classes. facility: x-name: facility type: array - example: [{"entity":Changi Airport,"start_char": 1,"end_char": 3}] + example: [{"entity":Changi Airport,"start": 1,"end": 3}] description: Buildings, airports, highways, bridges, etc. organization: x-name: organization type: array - example: [{"entity": "ICAO","start_char": 14,"end_char": 15}] + example: [{"entity": "ICAO","start": 14,"end": 15}] description: Companies, agencies, institutions, etc. geopolitical: x-name: geopolitical type: array - example: [{"entity": "Singapore","start_char": 0,"end_char": 1}] + example: [{"entity": "Singapore","start": 0,"end": 1}] description: Countries, cities, states. location: x-name: location type: array - example: [{"entity":"Asia","start_char": 42,"end_char": 43}] + example: [{"entity":"Asia","start": 42,"end": 43}] description: Non-GPE locations, mountain ranges, bodies of water. product: x-name: product type: array - example: [{"entity": Formula 1,"start_char": 5,"end_char": 7}] + example: [{"entity": Formula 1,"start": 5,"end": 7}] description: Objects, vehicles, foods, etc. (Not services.) event: x-name: event type: array - example: [{"entity": the Second World War,"start_char": 1,"end_char": 5}] + example: [{"entity": the Second World War,"start": 1,"end": 5}] description: Named hurricanes, battles, wars, sports events, etc. work_of_art: x-name: work_of_art type: array - example: [{"entity":Wizardry,"start_char": 1,"end_char": 2}] + example: [{"entity":Wizardry,"start": 1,"end": 2}] description: Titles of books, songs, etc. law: x-name: law type: array - example: [{"entity":the Penal Code,"start_char": 1,"end_char": 4}] + example: [{"entity":the Penal Code,"start": 1,"end": 4}] description: Named documents made into laws. language: x-name: language type: array - example: [{"entity": English,"start_char": 1,"end_char": 2}] + example: [{"entity": English,"start": 1,"end": 2}] description: Any named language. date: x-name: date type: array - example: [{"entity": Tuesday,"start_char": 1,"end_char": 2}] + example: [{"entity": Tuesday,"start": 1,"end": 2}] description: Absolute or relative dates or periods. time: x-name: time type: array - example: [{"entity": twenty-four hours,"start_char": 1,"end_char": 5}] + example: [{"entity": twenty-four hours,"start": 1,"end": 5}] description: Times smaller than a day. percent: x-name: percent type: array - example: [{"entity": 91%,"start_char": 1,"end_char": 2},{"entity": 25%,"start_char": 2,"end_char": 3},{"entity": 61%,"start_char": 4,"end_char": 5}] + example: [{"entity": 91%,"start": 1,"end": 2},{"entity": 25%,"start": 2,"end": 3},{"entity": 61%,"start": 4,"end": 5}] description: Percentage, including ”%“. money: x-name: money type: array - example: [{"entity": up to $1000,"start_char": 1,"end_char": 4}] + example: [{"entity": up to $1000,"start": 1,"end": 4}] description: Monetary values, including unit. quantity: x-name: quantity type: array - example: [{"entity": about one degree,85 miles,137 kilometres,"start_char": 1,"end_char": 8}] + example: [{"entity": about one degree,85 miles,137 kilometres,"start": 1,"end": 8}] description: Measurements, as of weight or distance. ordinal: x-name: ordinal type: array - example: [{"entity": ninth,"start_char": 1,"end_char": 2},{"entity": seventh,"start_char": 3,"end_char": 4},{"entity": second,"start_char": 5,"end_char": 6}] + example: [{"entity": ninth,"start": 1,"end": 2},{"entity": seventh,"start": 3,"end": 4},{"entity": second,"start": 5,"end": 6}] description: “first”, “second”, etc. cardinal: x-name: cardinal type: array - example: [{"entity": four,"start_char": 1,"end_char": 2}] + example: [{"entity": four,"start": 1,"end": 2}] description: Numerals that do not fall under another type. message: type: string From 857855427a5c3d292a61339b8d917e66b1d672a6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Feb 2022 10:21:12 +0530 Subject: [PATCH 3696/5916] Update named-entity_recognition_eng.yaml --- nlp/named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index e37340436..2c642aacf 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -30,7 +30,7 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured English text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Feb 28, 2022" From 46d7d437df92d3afc4f4459083d2bfd332dd5a71 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 28 Feb 2022 18:34:44 +1100 Subject: [PATCH 3697/5916] Update the example input --- nlp/script_alignment.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index ebfb49076..5da249339 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -262,7 +262,7 @@ components: x-name: script type: array default: true - example: ["Hello World, This is a test. This is another test."] + example: ["Hello World", "This is a test.", "This is another test."] description: |+ An ordered array of text. Each element contains a line of the script. From 961d6e1b9b04a63441781a76de643ba27ea953ce Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 28 Feb 2022 16:48:18 +0800 Subject: [PATCH 3698/5916] version description for asr yaml --- voice/automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index dd2280ff5..a7e88582a 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -294,7 +294,7 @@ components: - type: string example: Published Date - Apr 07, 2021 x-details: New model generic introduced - description: Latest Version + description: End-of-life by May 31,2022 v1.1.0: type: array items: From 8476b4c135bb19f54161c725ab47d71a3f0bb898 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Feb 2022 16:37:55 +0530 Subject: [PATCH 3699/5916] Create automatic_speech_recognition_eng_large_file.yaml --- ...tic_speech_recognition_eng_large_file.yaml | 548 ++++++++++++++++++ 1 file changed, 548 insertions(+) create mode 100644 voice/automatic_speech_recognition_eng_large_file.yaml diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml new file mode 100644 index 000000000..6964f5354 --- /dev/null +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -0,0 +1,548 @@ +openapi: 3.0.1 +info: + title: Automatic Speech Recognition ENG (Large File) + description: |+ + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. The input can be bypassed to asr without passing through vad by setting the optional paramater "vad" to false. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case + + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + version: '0.1.0' + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + + - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/automatic_speech_recognition_eng + - The file upload form https://sentient.io/upload/dev/form.html + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/asr.pdf + x-subscribelink: automatic_speech_recognition_eng + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Feb 28, 2022" +paths: + /async/microservices/voice/asr/v0/getuploadurl: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-asr/input/4test_2ef1b6f8e81042c99dec85fe048984c4.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T044135Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 + x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f + x-goog-signature: >- + 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 + jid: e4ff367c93664fb9acfa40d9a4c6e43f + request_cost: 0.3323 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/asr/v0/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 20, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.3323 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 28, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: '4 test.wav' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'audio/wav' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] + additional_param: + x-name: additional_param + type: object + properties: + model: + x-model: model + type: string + default: true + example: prepared_speech + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + + 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz + 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. + 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. + threshold: + x-threshold: threshold + type: number + example: 0.4 + description: |+ + 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + voice_activity_detection: + x-threshold: voice_activity_detection + type: boolean + example: false + description: |+ + Specifies whether to add voice_activity_detection during post-processing. Valid values - True and False. Default value - False. + uploadinput: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: application/pdf + description: Fields + key: + type: string + default: false + example: 309/495/lp-asr/input/4test_2ef1b6f8e81042c99dec85fe048984c4.wav + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4,\"voice_activity_detection\":\"false\"}" + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 1 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 2 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From b09c67af2eb2d266c2d04bd59b958a81c93221ea Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Feb 2022 16:39:43 +0530 Subject: [PATCH 3700/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index 2961a9a08..fae094050 100644 --- a/index.yaml +++ b/index.yaml @@ -29,6 +29,10 @@ voice: versions: 2.2.0: 'automatic_speech_recognition_eng.yaml' 1.2.0: 'automatic_speech_recognition_eng_v1.2.yaml' + automatic_speech_recognition_eng_large_file: + title: Automatic Speech Recognition ENG (Large File) + versions: + 0.1.0: 'automatic_speech_recognition_eng_large_file.yaml' automatic_speech_recognition_chi: title: Automatic Speech Recognition CHI versions: From 542c8437465ffbb24f494a1ff6c8c29504e3b4eb Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 28 Feb 2022 19:47:29 +0800 Subject: [PATCH 3701/5916] asr yaml added --- voice/automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index a7e88582a..4c1a71717 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -274,7 +274,7 @@ components: default: false example: 0.4 description: |+ - Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. + Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. Threshold parameter required only if voice_activity_detection parameter is True. versions: type: object From 2d9662b1df4915fded0c591add83a07daf58a3bb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 10:49:51 +0530 Subject: [PATCH 3702/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 32 ++++++++++----------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 4c1a71717..5ed3d43e7 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -283,34 +283,34 @@ components: type: array items: oneOf: - - type: string - example: Published Date - Feb 25, 2022 - x-details: Input parameter srt removed,output parameter seqNum changed to sequence - description: Latest Version + - type: string + example: Published Date - Feb 25, 2022 + x-details: Input parameter srt removed,output parameter seqNum changed to sequence + description: Latest Version v1.2.0: type: array items: oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: End-of-life by May 31,2022 + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: End-of-life by May 31,2022 v1.1.0: type: array items: oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 v1.0.0: type: array items: oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 v0.1.0: type: array From 97f0bbf5eebd671844e7de2d8974447fe5919f42 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 11:25:12 +0530 Subject: [PATCH 3703/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 38 +++++++++++++++++++------------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index 4c2a9097c..458d6b108 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -298,25 +298,6 @@ components: status: type: string example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 26, 2021 - x-details: Optional input parameter introduced. Output Format Changed - description: End-of-life by May 31,2022 - v0.1.0: - type: array" - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Initial version release - desrciption: Archived input: type: object required: @@ -336,6 +317,25 @@ components: example: false description: |+ Boolean value indicating whether entity position needs to be returned or not. Default value is False. + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 26, 2021 + x-details: Optional input parameter introduced. Output Format Changed + description: End-of-life by May 31,2022 + v0.1.0: + type: array" + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Initial version release + desrciption: Archived securitySchemes: APIAuthorizer: type: apiKey From 6cbcce7a2546856eacd779d00696ccbff64d0ce5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 11:25:45 +0530 Subject: [PATCH 3704/5916] Update spacy_ner_v0.1.yaml --- nlp/spacy_ner_v0.1.yaml | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/nlp/spacy_ner_v0.1.yaml b/nlp/spacy_ner_v0.1.yaml index 1d391851c..d9eb99c16 100644 --- a/nlp/spacy_ner_v0.1.yaml +++ b/nlp/spacy_ner_v0.1.yaml @@ -299,17 +299,6 @@ components: status: type: string example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Initial version release - description: Latest Version input: type: object required: @@ -322,6 +311,17 @@ components: example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." description: |+ Input text + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Initial version release + description: Latest Version securitySchemes: APIAuthorizer: type: apiKey From 2ac2e547cef99ec9a6f1c94c73bcdc0b1254bd46 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 11:38:42 +0530 Subject: [PATCH 3705/5916] Update asr_with_voice_activity_detection_eng.yaml --- ...asr_with_voice_activity_detection_eng.yaml | 60 +++++++++---------- 1 file changed, 29 insertions(+), 31 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index affef8bd7..ca4722552 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -279,55 +279,53 @@ components: versions: type: object properties: - v1.2.2: + v1.2.2: type: array items: oneOf: - - type: string - example: Published Date - Jan 28, 2022 - x-details: Introduced optional parameter vad - description: Latest Version - v1.2.1: + - type: string + example: Published Date - Jan 28, 2022 + x-details: Introduced optional parameter vad + description: Latest Version + v1.2.1: type: array items: oneOf: - - type: string - example: Published Date - Nov 09, 2021 - x-details: Vad bug fix - v1.2.0: + - type: string + example: Published Date - Nov 09, 2021 + x-details: Vad bug fix + v1.2.0: type: array items: oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: Depreciating on Nov 08, 2021 - v1.1.0: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Depreciating on Nov 08, 2021 + v1.1.0: type: array items: oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 - v1.0.0: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: type: array items: oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 - - v0.1.0: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + v0.1.0: type: array items: oneOf: - - type: string - example: Published Date - Dec 14, 2019 - x-details: Initial version release - description: Archived - + - type: string + example: Published Date - Dec 14, 2019 + x-details: Initial version release + description: Archived securitySchemes: APIAuthorizer: type: apiKey From df0646c8ba92625312844fae4bb8cd6bcc599f75 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 11:49:41 +0530 Subject: [PATCH 3706/5916] Update asr_with_voice_activity_detection_eng.yaml --- ...asr_with_voice_activity_detection_eng.yaml | 98 +++++++++---------- 1 file changed, 49 insertions(+), 49 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index ca4722552..3809f2362 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -277,55 +277,55 @@ components: description: |+ Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. versions: - type: object - properties: - v1.2.2: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 28, 2022 - x-details: Introduced optional parameter vad - description: Latest Version - v1.2.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 09, 2021 - x-details: Vad bug fix - v1.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: Depreciating on Nov 08, 2021 - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 14, 2019 - x-details: Initial version release - description: Archived + type: object + properties: + v1.2.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 28, 2022 + x-details: Introduced optional parameter vad + description: Latest Version + v1.2.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 09, 2021 + x-details: Vad bug fix + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: New model generic introduced + description: Depreciating on Nov 08, 2021 + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 22, 2021 + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 09, 2020 + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 14, 2019 + x-details: Initial version release + description: Archived securitySchemes: APIAuthorizer: type: apiKey From 4a482f9a6fd325b8bd0160403ec3ce8171c06e7c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 12:09:01 +0530 Subject: [PATCH 3707/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index 458d6b108..45ddc124d 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -329,7 +329,7 @@ components: x-details: Optional input parameter introduced. Output Format Changed description: End-of-life by May 31,2022 v0.1.0: - type: array" + type: array items: oneOf: - type: string From b7bcce3515d8c7b4df8a18428d4135420766398f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 1 Mar 2022 12:15:47 +0530 Subject: [PATCH 3708/5916] Update asr_with_voice_activity_detection_eng.yaml --- ...asr_with_voice_activity_detection_eng.yaml | 99 ++++++++++--------- 1 file changed, 50 insertions(+), 49 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 3809f2362..a61f52350 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -277,55 +277,56 @@ components: description: |+ Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. versions: - type: object - properties: - v1.2.2: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 28, 2022 - x-details: Introduced optional parameter vad - description: Latest Version - v1.2.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 09, 2021 - x-details: Vad bug fix - v1.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 07, 2021 - x-details: New model generic introduced - description: Depreciating on Nov 08, 2021 - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jan 22, 2021 - x-details: Model name update - description: Depreciating on Apr 06, 2021 - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 09, 2020 - x-details: Standardizing Output JSON - description: Depreciating on Jan 21, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 14, 2019 - x-details: Initial version release - description: Archived + type: object + properties: + v1.2.2: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Jan 28, 2022' + x-details: Introduced optional parameter vad + description: Latest Version + v1.2.1: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Nov 09, 2021' + x-details: Vad bug fix + description: Archived + v1.2.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Apr 07, 2021' + x-details: New model generic introduced + description: Depreciating on Nov 08, 2021 + v1.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Jan 22, 2021' + x-details: Model name update + description: Depreciating on Apr 06, 2021 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Dec 09, 2020' + x-details: Standardizing Output JSON + description: Depreciating on Jan 21, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Dec 14, 2019' + x-details: Initial version release + description: Archived securitySchemes: APIAuthorizer: type: apiKey From 2da2af5be49f72107a186fa3dba0a65f36fa6fd9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 12:23:22 +0530 Subject: [PATCH 3709/5916] Delete text_summarization_largefile.yaml --- nlp/text_summarization_largefile.yaml | 453 -------------------------- 1 file changed, 453 deletions(-) delete mode 100644 nlp/text_summarization_largefile.yaml diff --git a/nlp/text_summarization_largefile.yaml b/nlp/text_summarization_largefile.yaml deleted file mode 100644 index bdda8d7f8..000000000 --- a/nlp/text_summarization_largefile.yaml +++ /dev/null @@ -1,453 +0,0 @@ -openapi: 3.0.1 -info: - title: Text Summarization - description: |+ - This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. - - The input text should be a minimum of 100 words and a maximum of 512 words. - - For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. - version: '0.2.0' - x-subscribelink: text_summarization - x-apitype: Large file - x-apitypedescription: |+ - Asyncronous | Batch | 10GB/File - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - The response rate is slower than the small file API due to large data - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Size cannot exceed more than 512 words. -servers: - - url: 'https://dev-apis.sentient.io' -tags: - - name: v0.2.0 - description: 'Published Date - Aug 11, 2021' -paths: - /async/microservices/nlp/textsummarisation/v0/getuploadurl: - description: |+ - Upload your file to start processing - post: - tags: - - v0.2.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - fields: - content-type: text/plain - key: >- - 1/2/lp-textsummarisation/input/test_1991d4936ddb4728afaa06cb260b0253.txt - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request - x-goog-date: 20211123T105846Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '1' - x-goog-meta-uid: '2' - x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 - x-goog-signature: >- - 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 - jid: 1991d4936ddb4728afaa06cb260b0253 - request_cost: 0 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true - /async/microservices/voice/asr/v0/getstatus: - description: |+ - Query for processing status - get: - tags: - - v0.2.0 - parameters: - - in: query - name: jid - schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: 'Dec 17, 2021' - message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-extsummarisation/output/415KB_e7fe34e9c21c4d75bc94051e476141c5.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211217%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211217T055955Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.086 - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: Dec 17, 2021 - description: Last updated - message: - type: string - example: Successfully Processed - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Success - description: Detail description on the API status - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status - results: - type: object - example: - - description: Json Object of returned results - properties: - fields: - type: object - example: - - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.2.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Aug 11, 2021' - x-details: Model Upgrade - description: Latest version - v0.1.2: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Jun 07, 2021' - x-details: Deeper Postprocessing of Summarised text - description: Depreciating on Aug 10,2021 - v0.1.1: - type: array - items: - oneOf: - - type: string - example: 'Published Date - May 12, 2021' - x-details: Postprocessing of Summarised text - description: Depreciating on Jun 06,2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Apr 07, 2021' - x-details: Initial version release - description: Archived - input: - type: object - required: - - file_name - properties: - file_size: - x-name: file_size - type: integer - default: true - example: 1227936 - description: | - File Size - file_name: - x-name: file_name - type: string - default: true - format: binary - example: test.txt - description: | - File name - content_type: - x-name: content_type - type: string - default: true - example: text/plain - description: | - Content type - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 7330273e049f15e2acb6592027724276dfdf3d0d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 12:54:44 +0530 Subject: [PATCH 3710/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 38 +++++++++++++++++++------------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index 45ddc124d..f6f4bc615 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -118,92 +118,92 @@ components: properties: person: x-name: person - type: array + type: string example: [[Donald Trump,1,3]] description: People, including fictional. norp: x-name: norp - type: array + type: string example: [[Chinese,1,2],[Singaporean,4,5],[Malay,6,7]] description: Nationalities or religious or political groups. fac: x-name: fac - type: array + type: string example: [[Changi Airport,1,3], ["Changi Airport",7, 9],["the first Airport",71,74]] description: Buildings, airports, highways, bridges, etc. org: x-name: org - type: array + type: string example: [["ICAO",14,15],["WSSS",16,17],["FAA",18,19],["the World's Best Airport",63,68],["Skytrax",69,70],["Changi Airport Group",152,155],["Jetstar Asia Airways",173,176],["BOC Aviation",177,179]] description: Companies, agencies, institutions, etc. gpe: x-name: gpe - type: array + type: string example: [["Singapore",0,1],["Singapore",31,32],["Changi",109,110],["Singapore",116,117],["Singapore",129,130],["Singapore",162,163]] description: Countries, cities, states. loc: x-name: loc - type: array + type: string example: [["Asia",42,43],["Marina Bay",126,128]] description: Non-GPE locations, mountain ranges, bodies of water. product: x-name: product - type: array + type: string example: [[Formula 1, 5,7],[Motorrad,8,9]] description: Objects, vehicles, foods, etc. (Not services.) event: x-name: event - type: array + type: string example: [[the Second World War,1,5]] description: Named hurricanes, battles, wars, sports events, etc. work_of_art: x-name: work_of_art - type: array + type: string example: [[Wizardry,1,2]] description: Titles of books, songs, etc. law: x-name: law - type: array + type: string example: [[the Penal Code,1,4],[the Internal Security Act,5,9],[the Constitution of the Republic of Singapore,9,16],[the Evidence Act,16,19],[the Societies Act,19,22]] description: Named documents made into laws. language: x-name: language - type: array + type: string example: [[English,1,2]] description: Any named language. date: x-name: date - type: array + type: string example: [[Tuesday,1,2]] description: Absolute or relative dates or periods. time: x-name: time - type: array + type: string example: [[twenty-four hours,1,5]] description: Times smaller than a day. percent: x-name: percent - type: array + type: string example: [[91%,1,2],[25%,2,3],[61%,4,5]] description: Percentage, including ”%“. money: x-name: money - type: array + type: string example: [[up to $1000,1,4]] description: Monetary values, including unit. quantity: x-name: quantity - type: array + type: string example: [[about one degree,85 miles,137 kilometres,1,8]] description: Measurements, as of weight or distance. ordinal: x-name: ordinal - type: array + type: string example: [[ninth,1,2],[seventh,3,4],[second,5,6]] description: “first”, “second”, etc. cardinal: x-name: cardinal - type: array + type: string example: [[four,1,2]] description: Numerals that do not fall under another type. message: @@ -335,7 +335,7 @@ components: - type: string example: Published Date - Sep 30, 2020 x-details: Initial version release - desrciption: Archived + description: Archived securitySchemes: APIAuthorizer: type: apiKey From d09470becfd3291c0d193ef7ef4ac80be6840aa8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 14:05:04 +0530 Subject: [PATCH 3711/5916] Update landmark_detection.yaml --- computer_vision/landmark_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/landmark_detection.yaml b/computer_vision/landmark_detection.yaml index ed2a5afba..b80393983 100644 --- a/computer_vision/landmark_detection.yaml +++ b/computer_vision/landmark_detection.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Landmark Detection (SG or JP) + title: Landmark Detection description: |+ This Computer Vision microservice identifies Singapore and Japan landmarks from multiple input images based on location parameter. By default location is Singapore. From 9e435de03c4ff0add9c6e14da7ada48f087f4378 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Mar 2022 16:23:34 +0530 Subject: [PATCH 3712/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 5ed3d43e7..d34271177 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -272,7 +272,7 @@ components: type: number format: float default: false - example: 0.4 + example: 0.25 description: |+ Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. Threshold parameter required only if voice_activity_detection parameter is True. From 9638471070bf60f8ea7e3430916b0f43914e9929 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 4 Mar 2022 10:39:46 +0530 Subject: [PATCH 3713/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index fae094050..084f1ca8d 100644 --- a/index.yaml +++ b/index.yaml @@ -424,7 +424,7 @@ data alliance: urlkey: download_dataset_api versions: 0.1.0: 'download_dataset.yaml' -platform apis: +platform functions: org_info: title: View Organizational Info versions: From 3dca60a09ce3721ce0c61915408260fc110a27fa Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 7 Mar 2022 10:04:43 +0530 Subject: [PATCH 3714/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 24cabcba6..407b23fb8 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -473,7 +473,7 @@ components: required: - filePath properties: - filePath: + file: type: string format: binary default: true From efbae1797b3f4a56095f0c178dc4162c988449a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 7 Mar 2022 10:17:31 +0530 Subject: [PATCH 3715/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 493fbe648..9fbe63f0e 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -468,7 +468,7 @@ components: required: - filePath properties: - filePath: + file: type: string format: binary default: true From b28b61967989cd42e8fcc9f07394dc61dba9795b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 7 Mar 2022 10:30:57 +0530 Subject: [PATCH 3716/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 7a6ce30cf..6b1ea7775 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -458,7 +458,7 @@ components: required: - filePath properties: - filePath: + file: type: string format: binary default: true From 5fcb79567d32ec00676ce3589ddfc59075542d38 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 7 Mar 2022 10:31:31 +0530 Subject: [PATCH 3717/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 7c9e35d5f..7ec6c385e 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -450,7 +450,7 @@ components: required: - filePath properties: - filePath: + file: type: string format: binary default: true From a55db928b7ce4247b52a66d9f471b3215cfe9f2d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 7 Mar 2022 10:33:31 +0530 Subject: [PATCH 3718/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 126 +++++++++++++++---------------- 1 file changed, 63 insertions(+), 63 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index abb341afa..5e26bbf5f 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -638,72 +638,72 @@ components: required: - filePath properties: - fields: - type: object - example: - - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb25... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211220T044135Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 309 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: 4b82151d31e0429ba28f3ad1525c3aa6 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: e4ff367c93664fb9acfa40d9a4c6e43f - description: Google algorithm - x-goog-signature: - type: string - example: 53976156d99fe7521e373c45d9e5056a420d25... - description: Google algorithm - jid: + file: type: string - example: e4ff367c93664fb9acfa40d9a4c6e43f - description: Google algorithm - request_cost: + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: audio/wav + description: Fields + key: + type: string + default: false + example: 309/495/lp-vadasr/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav + description: Fields + policy: + type: string + default: false + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhcHBsaWNhdGlvbi9wZGYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDE0MDczMjYxXSx7ImNvbnRlbnQtdHlwZSI6ImFwcGxpY2F0aW9uL3BkZiJ9LHsieC1nb29nLW1ldGEtYWRkaXRpb25hbF9wYXJhbSI6IntcInBhc3N3b3JkXCI6IFwiZmZmZmZcIn0ifSx7IngtZ29vZy1tZXRhLW9pZCI6IjEifSx7IngtZ29vZy1tZXRhLXVpZCI6IjIifSx7IngtZ29vZy1tZXRhLXV1aWQiOiJjZjNkMzI5YmQ5ZGY0Y2VmOTE5NjZjMzM2Mzg2ZWVhMyJ9LHsiYnVja2V0IjoidXNlcl9zcGFjZV9kZXYifSx7ImtleSI6IjEvMi9scC10ZXh0c3VtbWFyaXNhdGlvbi9pbnB1dC9QZGZfNm1iX2NmM2QzMjliZDlkZjRjZWY5MTk2NmMzMzYzODZlZWEzLnBkZiJ9LHsieC1nb29nLWRhdGUiOiIyMDIxMTIwOVQwOTU1MDdaIn0seyJ4LWdvb2ctY3JlZGVudGlhbCI6InNlbnRpZW50LWRldi1iaWdxdWVyeUBzZW50aWVudC0yMDczMTAuaWFtLmdzZXJ2aWNlYWNjb3VudC5jb20vMjAyMTEyMDkvYXV0by9zdG9yYWdlL2dvb2c0X3JlcXVlc3QifSx7IngtZ29vZy1hbGdvcml0aG0iOiJHT09HNC1SU0EtU0hBMjU2In1dLCJleHBpcmF0aW9uIjoiMjAyMS0xMi0wOVQxMDo1NTowNy41MDYwNDBaIn0= + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 309 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 495 + description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields + x-goog-meta-uuid: type: string - example: 0.3323 - description: Google algorithm - url: + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + default: false + example: 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 + description: Fields securitySchemes: APIAuthorizer: type: apiKey From c8dc7be184fd9473952f67c12a9e41985d9fe7b3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 7 Mar 2022 11:24:18 +0530 Subject: [PATCH 3719/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 407b23fb8..231233f60 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -471,7 +471,7 @@ components: uploadinput: type: object required: - - filePath + - file properties: file: type: string From d99ac98b3711b29252c2d3920555a550ef9f0d39 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 7 Mar 2022 11:35:32 +0530 Subject: [PATCH 3720/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 6964f5354..002789df6 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -481,9 +481,9 @@ components: uploadinput: type: object required: - - filePath + - file properties: - filePath: + file: type: string format: binary default: true From b8f8c8143aafe4d2e7d30d5e189b74a6703b4d0a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 7 Mar 2022 14:15:46 +0530 Subject: [PATCH 3721/5916] Create google_mt_largefile.yaml --- voice/google_mt_largefile.yaml | 529 +++++++++++++++++++++++++++++++++ 1 file changed, 529 insertions(+) create mode 100644 voice/google_mt_largefile.yaml diff --git a/voice/google_mt_largefile.yaml b/voice/google_mt_largefile.yaml new file mode 100644 index 000000000..a8ba73444 --- /dev/null +++ b/voice/google_mt_largefile.yaml @@ -0,0 +1,529 @@ +openapi: 3.0.1 +info: + title: Google Translate (Large File) + description: |+ + This microservice takes in the input as file and translates the text and return the output as file. + - Supports the following file formats: .txt, .pdf, .docx, .doc + For pdf and txt files, we suggest breaking them up into batches and making multiple calls to this microservice for more effective. + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/google_asr.pdf + version: '0.1.0' + x-subscribelink: google_translate + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 04, 2022" +paths: + /async/microservices/nlp/googletranslate/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T044135Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 + x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f + x-goog-signature: >- + 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 + jid: e4ff367c93664fb9acfa40d9a4c6e43f + request_cost: 0.3323 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/nlp/googletranslate/v0/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 20, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.3323 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 04, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: 'sample.pdf' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'application/pdf' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + ["application/pdf, text/plain, application/vnd.openxmlformats-officedocument.wordprocessingml.document"] + uploadinput: + type: object + required: + - filePath + properties: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb25... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T044135Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: 4b82151d31e0429ba28f3ad1525c3aa6 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + x-goog-signature: + type: string + example: 53976156d99fe7521e373c45d9e5056a420d25... + description: Google algorithm + jid: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + request_cost: + type: string + example: 0.3323 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 882b3b7bc6dabab4ee17f732e8075504f03780e3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 7 Mar 2022 14:55:56 +0530 Subject: [PATCH 3722/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 1554b49af..f8f294542 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -228,7 +228,7 @@ components: type: number example: 1 default: true - description: bitcode to generate the key by byte-length. Maximum up to 5. Empty string and above 5 should be consider as 1. + description: Bitcode to generate the key by byte-length. Maximum up to 5. 0 and above 5 should be consider as 1. securitySchemes: APIAuthorizer: type: apiKey From dd400de4c0f747edd38d4520185be603667eeded Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 7 Mar 2022 15:39:29 +0530 Subject: [PATCH 3723/5916] Update engine.yaml --- recommendation_engine/engine.yaml | 647 +++++++++++++++++++++++++----- 1 file changed, 541 insertions(+), 106 deletions(-) diff --git a/recommendation_engine/engine.yaml b/recommendation_engine/engine.yaml index c7db03275..550a579ff 100644 --- a/recommendation_engine/engine.yaml +++ b/recommendation_engine/engine.yaml @@ -5,37 +5,60 @@ info: Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. version: '1.0.0' servers: - - url: 'https://dev-ttap-harnessapps.sentient.io' + - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' tags: - name: "v1.0.0" description: "Published Date - Oct 30, 2020" paths: - /addevent: + /readdevent/v0/getresults: post: tags: - v1.0.0 - description: testing responses: '200': description: Ok content: application/json: schema: - $ref: '#/components/schemas/success' + $ref: '#/components/schemas/readdeventsuccess' example: - "{\"comment\":\"UR input processed\"}" - '403': - description: Forbidden + message: Successfully Added + status: Success + '419': + description: Input Field Missing content: application/json: schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error content: application/json: schema: - $ref: '#/components/schemas/notfound' + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readdeventinput' + required: true + /readditem/v0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readditemsuccess' + example: + message: Successfully Added + status: Success '419': description: Input Field Missing content: @@ -49,13 +72,15 @@ paths: application/json: schema: $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] requestBody: content: application/json: schema: - $ref: '#/components/schemas/input' + $ref: '#/components/schemas/readditeminput' required: true - /viewevent: + /redeleteevent/v0/getresults: post: tags: - v1.0.0 @@ -65,21 +90,53 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/vieweventsuccess' + $ref: '#/components/schemas/redeleteeventsuccess' example: - "{\"result\":[{\"item\":\"Page 30\",\"score\":2.48592472076416},{\"item\":\"Page 24\",\"score\":2.48592472076416},{\"item\":\"Page 21\",\"score\":2.48592472076416},{\"item\":\"Page 29\",\"score\":2.48592472076416},{\"item\":\"Page 26\",\"score\":2.48592472076416},{\"item\":\"Page 17\",\"score\":2.48592472076416},{\"item\":\"Page 12\",\"score\":2.48592472076416},{\"item\":\"Page 1\",\"score\":2.48592472076416},{\"item\":\"Page 7\",\"score\":1.862879991531372},{\"item\":\"Page 20\",\"score\":0.6230446696281433},{\"item\":\"Page 27\",\"score\":0.6230446696281433},{\"item\":\"Page 25\",\"score\":0.6230446696281433},{\"item\":\"Page 23\",\"score\":0.6230446696281433},{\"item\":\"Page 22\",\"score\":0.6230446696281433},{\"item\":\"Page 16\",\"score\":0.6230446696281433},{\"item\":\"Page 28\",\"score\":0.6230446696281433},{\"item\":\"Page 6\",\"score\":0.6230446696281433},{\"item\":\"Page 9\",\"score\":0.6230446696281433},{\"item\":\"Page 11\",\"score\":0.6230446696281433},{\"item\":\"Page 3\",\"score\":0.6230446696281433}]}" - '403': - description: Forbidden + message: Successfully Deleted + status: Success + '419': + description: Input Field Missing content: application/json: schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error content: application/json: schema: - $ref: '#/components/schemas/notfound' + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteeventinput' + required: true + /reitem/v0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reitemsuccess' + example: + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title '419': description: Input Field Missing content: @@ -93,13 +150,16 @@ paths: application/json: schema: $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] requestBody: content: application/json: schema: - $ref: '#/components/schemas/vieweventinput' + $ref: '#/components/schemas/reiteminput' required: true - /trainevent: + + /reuser/v0/getresults: post: tags: - v1.0.0 @@ -109,21 +169,53 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/traineventsuccess' + $ref: '#/components/schemas/reusersuccess' example: - "{\"description\":{\"jobId\":\"e4673adc-f50d-4f90-8f72-eb1d9dba7628\",\"status\":{\"name\":\"queued\"},\"comment\":\"Spark job\",\"createdAt\":\"2022-01-20T06:17:55.504Z\"},\"comment\":\"Started train Job on Spark\"}" - '403': - description: Forbidden + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error content: application/json: schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reuserinput' + required: true + /retrainengine/v0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok content: application/json: schema: - $ref: '#/components/schemas/notfound' + $ref: '#/components/schemas/retraineventsuccess' + example: + message: Training is Scheduled + status: Success '419': description: Input Field Missing content: @@ -137,7 +229,15 @@ paths: application/json: schema: $ref: '#/components/schemas/servererror' - /bulkupload: + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/retraineventinput' + required: true + /rebulkuploadevent/v0/getresults: post: tags: - v1.0.0 @@ -147,21 +247,47 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/bulkuploadsuccess' + $ref: '#/components/schemas/rebulkuploadeventsuccess' example: - "{\"description\":{\"jobId\":\"e4673adc-f50d-4f90-8f72-eb1d9dba7628\",\"status\":{\"name\":\"queued\"},\"comment\":\"Spark job\",\"createdAt\":\"2022-01-20T06:17:55.504Z\"},\"comment\":\"Started train Job on Spark\"}" - '403': - description: Forbidden + message: Partially Added + status: Success + error_rows: [] + '419': + description: Input Field Missing content: application/json: schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/rebulkuploadeventinput' + required: true + /rebulkuploaditem/v0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok content: application/json: schema: - $ref: '#/components/schemas/notfound' + $ref: '#/components/schemas/rebulkuploaditemsuccess' + example: + message: Partially Added + status: Success + error_rows: [] '419': description: Input Field Missing content: @@ -175,29 +301,80 @@ paths: application/json: schema: $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] requestBody: content: multipart/form-data: schema: - $ref: '#/components/schemas/bulkuploadinput' + $ref: '#/components/schemas/rebulkuploaditeminput' required: true components: schemas: - success: + readdeventsuccess: type: object properties: - comment: + message: type: string - description: The result of the API call. - example: UR input processed - bulkuploadsuccess: + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + readditemsuccess: type: object properties: - comment: + message: type: string - description: The result of the API call. - example: UR input processed - vieweventsuccess: + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + redeleteeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Deleted + status: + type: string + description: The status of the API call. + example: Success + rebulkuploadeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + rebulkuploaditemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + reitemsuccess: type: object properties: result: @@ -207,47 +384,89 @@ components: items: type: object properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca item: type: string - description: The result of the item details. + description: The result of the API call. example: Page 30 score: type: string - description: The result of the score details. + description: The result of the API call. example: 2.48592472076416 - traineventsuccess: + properties: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + reusersuccess: type: object properties: - description: - type: object + result: + type: array description: The result of the API call. example: UR input processed - properties: - jobId: - type: string - description: Job ID of the train event. - example: e4673adc-f50d-4f90-8f72-eb1d9dba7628 - status: - type: object - description: List of the object - example: {"name": "queued"} + items: + type: object + properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca + item: + type: string + description: The result of the API call. + example: Page 30 + score: + type: string + description: The result of the API call. + example: 2.48592472076416 properties: - name: - type: string - description: Name of the job status - example: queued - comment: - type: string - description: Comment of the train event - example: Spark job - createdAt: - type: string - description: Train event created date and time - example: "2022-01-20T06:17:55.504Z" - comment: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + retraineventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Training is Scheduled + status: type: string - description: Comment of the train event - example: Started train Job on Spark + description: The status of the API call. + example: Success forbidden: type: object properties: @@ -295,59 +514,226 @@ components: example: Published Date - Oct 30, 2020 x-details: Standardizing Output JSON description: Latest Version - bulkuploadinput: + rebulkuploadeventinput: type: object + required: + - file + - engine_name + - event properties: file: type: string format: binary default: true - example: sample.csv - description: Upload CSV file with details of input - event, entityType, entityId, targetEntityType, targetEntityId, eventTime - vieweventinput: + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: ttap-on-pageurl + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + rebulkuploaditeminput: type: object + required: + - file + - engine_name + - properties properties: - user: + file: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: ttap-on-pageurl + properties: type: string default: true description: |+ The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: User 10 - input: + example: ["pagetile","description","pageurl"] + retraineventinput: type: object required: - - event - - entityType - - entityId - - targetEntityType - - targetEntityId - - eventTime + - engine_name + - item properties: - event: + engine_name: type: string default: true description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: buy - entityType: + Recommendation engine name + example: ttap-on-pageurl + reiteminput: + type: object + required: + - engine_name + - item + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: ttap-on-pageurl + item: + type: string + default: true + example: Page 15 + description: |+ + It contains the unique item identifier + item_bias: type: string default: true - example: user + example: Page 15 + description: |+ + This tells the recommender to return items similar to this the item specified. + item_set: + type: string + default: true + example: [] + description: |+ + It contains a list of unique item identifiers + item_set_bias: + type: string + default: true + example: + description: |+ + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] description: |+ - This is always "user", do not use any other type for indicators. - entityId: + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + reuserinput: + type: object + required: + - engine_name + - user + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: ttap-on-pageurl + user: type: string default: true example: User 10 description: |+ This is whatever string you use to identify a user. - targetEntityType: + user_bias: + type: string + default: true + example: User 10 + description: |+ + This tells the recommender to return recommendations based on the user's event history + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] + description: |+ + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + redeleteeventinput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: type: string default: true - example: item + description: |+ + Recommendation engine name + example: ttap-on-pageurl + item: + type: string + default: true + example: Page 15 description: |+ - This is always "item", do not use any other type for indicators. - targetEntityId: + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readditeminput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: ttap-on-pageurl + item: type: string default: true example: Page 15 @@ -355,13 +741,62 @@ components: The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. properties: type: object + properties: + pagetitle: + type: string + example: [Page title] + pageurl: + type: string + example: [Page url] + event_time: + type: string default: true - example: {} + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readdeventinput: + type: object + required: + - engine_name + - event + - user + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: ttap-on-pageurl + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + user: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + item: + type: string + default: true + example: Page 15 description: |+ - Always empty and can be omitted. - eventTime: + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: type: string default: true example: "2022-01-19T21:02:49.228Z" description: |+ The ISO8601 formatted string for the time the event occurred. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 1eace0f034177a306a38e11c377cb14bd34d045d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 7 Mar 2022 15:40:51 +0530 Subject: [PATCH 3724/5916] Update index.yaml --- index.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 084f1ca8d..90fa34f4a 100644 --- a/index.yaml +++ b/index.yaml @@ -166,7 +166,11 @@ nlp: google_translate: title: Google Translate versions: - 0.1.0: 'google_translate.yaml' + 0.1.0: 'google_translate.yaml' + recommendation_engine: + title: Recommendation Engine + versions: + 0.1.0: 'engine.yaml' computer vision: object_detection: title: Object Detection From 43fe0459d5f7391332298cc145d66082eef42d7d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 7 Mar 2022 15:42:30 +0530 Subject: [PATCH 3725/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 90fa34f4a..470598769 100644 --- a/index.yaml +++ b/index.yaml @@ -166,7 +166,8 @@ nlp: google_translate: title: Google Translate versions: - 0.1.0: 'google_translate.yaml' + 0.1.0: 'google_translate.yaml' +recommendation_engine: recommendation_engine: title: Recommendation Engine versions: From 0edf86f30b044a62eb6e3cc6382d1e82a28277e3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 7 Mar 2022 15:46:31 +0530 Subject: [PATCH 3726/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 470598769..889f3989d 100644 --- a/index.yaml +++ b/index.yaml @@ -168,7 +168,7 @@ nlp: versions: 0.1.0: 'google_translate.yaml' recommendation_engine: - recommendation_engine: + engine: title: Recommendation Engine versions: 0.1.0: 'engine.yaml' From b0a87153a01d8ea19c94c842a2da9b78e57d2731 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 7 Mar 2022 15:49:24 +0530 Subject: [PATCH 3727/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 889f3989d..0b94f35c7 100644 --- a/index.yaml +++ b/index.yaml @@ -167,7 +167,7 @@ nlp: title: Google Translate versions: 0.1.0: 'google_translate.yaml' -recommendation_engine: +recommendation engine: engine: title: Recommendation Engine versions: From 5fb6e9f65810d7b610168d94f12e09b103ce2dce Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 7 Mar 2022 15:52:12 +0530 Subject: [PATCH 3728/5916] latest --- platform_functions/activate_user.yaml | 137 + platform_functions/add_function_to_group.yaml | 135 + platform_functions/add_group.yaml | 147 + platform_functions/add_user.yaml | 167 + platform_functions/add_user_to_function.yaml | 135 + platform_functions/add_user_to_group.yaml | 135 + platform_functions/api_metering.yaml | 260 + .../api_metering_error_details.yaml | 218 + platform_functions/delete_group.yaml | 127 + platform_functions/delete_user_info.yaml | 125 + platform_functions/deleted_org_list.yaml | 5204 +++++++++++++++++ platform_functions/get_deleted_user_list.yaml | 117 + platform_functions/get_function_list.yaml | 132 + .../get_org_assign_functions.yaml | 117 + platform_functions/group_info.yaml | 202 + platform_functions/microservices_list.yaml | 1491 +++++ platform_functions/org_group_list.yaml | 140 + platform_functions/org_info.yaml | 166 + platform_functions/refresh_api_key.yaml | 132 + .../remove_function_from_group.yaml | 127 + .../remove_group_from_user.yaml | 125 + .../remove_user_from_function.yaml | 127 + .../subscribed_microservices.yaml | 195 + platform_functions/subscription.yaml | 135 + platform_functions/unsubscription.yaml | 135 + platform_functions/update_org.yaml | 137 + platform_functions/update_password.yaml | 142 + platform_functions/update_user_info.yaml | 143 + platform_functions/user/user_list.yaml | 137 + platform_functions/user_info.yaml | 199 + platform_functions/user_list.yaml | 157 + 31 files changed, 11046 insertions(+) create mode 100644 platform_functions/activate_user.yaml create mode 100644 platform_functions/add_function_to_group.yaml create mode 100644 platform_functions/add_group.yaml create mode 100644 platform_functions/add_user.yaml create mode 100644 platform_functions/add_user_to_function.yaml create mode 100644 platform_functions/add_user_to_group.yaml create mode 100644 platform_functions/api_metering.yaml create mode 100644 platform_functions/api_metering_error_details.yaml create mode 100644 platform_functions/delete_group.yaml create mode 100644 platform_functions/delete_user_info.yaml create mode 100644 platform_functions/deleted_org_list.yaml create mode 100644 platform_functions/get_deleted_user_list.yaml create mode 100644 platform_functions/get_function_list.yaml create mode 100644 platform_functions/get_org_assign_functions.yaml create mode 100644 platform_functions/group_info.yaml create mode 100644 platform_functions/microservices_list.yaml create mode 100644 platform_functions/org_group_list.yaml create mode 100644 platform_functions/org_info.yaml create mode 100644 platform_functions/refresh_api_key.yaml create mode 100644 platform_functions/remove_function_from_group.yaml create mode 100644 platform_functions/remove_group_from_user.yaml create mode 100644 platform_functions/remove_user_from_function.yaml create mode 100644 platform_functions/subscribed_microservices.yaml create mode 100644 platform_functions/subscription.yaml create mode 100644 platform_functions/unsubscription.yaml create mode 100644 platform_functions/update_org.yaml create mode 100644 platform_functions/update_password.yaml create mode 100644 platform_functions/update_user_info.yaml create mode 100644 platform_functions/user/user_list.yaml create mode 100644 platform_functions/user_info.yaml create mode 100644 platform_functions/user_list.yaml diff --git a/platform_functions/activate_user.yaml b/platform_functions/activate_user.yaml new file mode 100644 index 000000000..2dd4fcf67 --- /dev/null +++ b/platform_functions/activate_user.yaml @@ -0,0 +1,137 @@ +openapi: 3.0.1 +info: + title: Activate Users + description: This is an organization function and this API is used to activate a user from the deleted user list. Only active users can access specified restricted features and content set by the Admin. + version: v0.1.0 + x-subscribelink: +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 09, 2021" +paths: + /org/v0/activateusers: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 09, 2021 + description: Initial version release + input: + type: object + required: + - user_ids + properties: + user_ids: + x-name: user_ids + type: array + default: True + example: [1326,1545] + description: Multiple user ids of the user. Invalid user id will be ignored in the array list. Refer to List Deleted Users API to get the user id (results.user_id) details. + items: + type: object + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/platform_functions/add_function_to_group.yaml b/platform_functions/add_function_to_group.yaml new file mode 100644 index 000000000..ff9d684ab --- /dev/null +++ b/platform_functions/add_function_to_group.yaml @@ -0,0 +1,135 @@ +openapi: 3.0.1 +info: + title: Add Function To Group + description: This is an organization function and this API provides operations to manage functions in your organization group. + x-subscribelink: add_function_to_group + version: '0.1.0' +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 6, 2021" +paths: + /org/v0/addfunctiontogroup: + get: + tags: + - v0.1.0 + required: + - function_id + - group_id + parameters: + - in: query + name: function_id + schema: + type: integer + required: true + description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. + example: "237" + - in: query + name: group_id + schema: + type: integer + required: true + description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. + example: "2451" + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 6,2021 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/platform_functions/add_group.yaml b/platform_functions/add_group.yaml new file mode 100644 index 000000000..bc6acab83 --- /dev/null +++ b/platform_functions/add_group.yaml @@ -0,0 +1,147 @@ +openapi: 3.0.1 +info: + title: Add Group + description: This API allows to create a new group in organisation. + version: v0.1.0 + x-subscribelink: add_group +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Nov 1, 2021" +paths: + /org/v0/updateorggroup: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 1, 2021 + description: Initial version release + input: + type: object + required: + - org_group_name + properties: + org_group_name: + x-name: org_group_name + type: string + default: True + example: "Access set group" + description: Name of new group to the organization + description: + x-name: description + type: string + example: "testing description" + description: Group description + group_functions: + x-name: group_functions + type: array + example: [] + description: List of Function Ids. Refer to Assigned Functions API to get the function id (result.function_id) details. + items: + type: object + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/platform_functions/add_user.yaml b/platform_functions/add_user.yaml new file mode 100644 index 000000000..b60384d73 --- /dev/null +++ b/platform_functions/add_user.yaml @@ -0,0 +1,167 @@ +openapi: 3.0.1 +info: + title: Add User + description: This API provides operations to manage users in your organization. Create a user without a password and recovery question/answer. When the user is activated, an email is sent to the user with an activation token that can be used to complete the activation process. This is the default flow for new user registration using the admistrator user dashboard. + version: v0.1.0 + x-subscribelink: add_user +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 09, 2021" +paths: + /org/v0/adduser: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: successfully processed + status: success + user_id: 111 + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + user_id: + type: string + example: 111 + description: User id of the user + user_apikey: + type: string + example: B62F6F537F064AACB78C + description: Apikey of the user + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 09, 2021 + description: Initial version release + input: + type: object + required: + - user_name + - user_password + properties: + user_name: + x-name: user_name + type: string + default: True + example: example@example.com + description: User email of the user should be in the proper email format example@example.com. + user_password: + x-name: user_password + type: string + default: True + example: xxxxxx + description: |+ + - User password of the user must contain at least 8 characters and mixture of alphanumeric characters with at least one or more special characters, numbers, upper and lower case + send_email: + x-name: send_email + type: string + example: no + description: |+ + Default value is no. User email send option + - yes - Email send to the user + - no - Email will not send to user + user_groups: + x-name: user_groups + type: array + example: [] + description: User groups list of the user. Refer to View User Details API to get the group id(results.groups.id) details. + items: + type: object + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/platform_functions/add_user_to_function.yaml b/platform_functions/add_user_to_function.yaml new file mode 100644 index 000000000..a17fed63f --- /dev/null +++ b/platform_functions/add_user_to_function.yaml @@ -0,0 +1,135 @@ +openapi: 3.0.1 +info: + title: Add User To Function + description: This is an organization function and this API provides operations to assign function to users in your organization. + x-subscribelink: add_user_to_function + version: '0.1.0' +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 6, 2021" +paths: + /org/v0/addusertofunction: + get: + tags: + - v0.1.0 + required: + - function_id + - user_id + parameters: + - in: query + name: function_id + schema: + type: integer + required: true + description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. + example: "237" + - in: query + name: user_id + schema: + type: integer + required: true + description: User Id. Refer to User List API to get the user id (results.user_id) details. + example: "2365" + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 6,2021 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/platform_functions/add_user_to_group.yaml b/platform_functions/add_user_to_group.yaml new file mode 100644 index 000000000..e310477f4 --- /dev/null +++ b/platform_functions/add_user_to_group.yaml @@ -0,0 +1,135 @@ +openapi: 3.0.1 +info: + title: Add Group To User + description: This is an organization account function and this API provides operations to manage users in your organization. This API grants the specified user permissions to the specified group withing your organization. The user's access can be adjusted by using the admistrator user dashboard. + x-subscribelink: add_user_to_group + version: '0.1.0' +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 21, 2021" +paths: + /org/v0/addusertogroup: + get: + tags: + - v0.1.0 + required: + - user_id + - group_id + parameters: + - in: query + name: user_id + schema: + type: integer + required: true + description: User Id. Refer to User List API to get the user id (results.user_id) details. + example: "1121" + - in: query + name: group_id + schema: + type: integer + required: true + description: Group Id. Refer to Group List to get the group id(results.group_id) details. + example: "7" + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/platform_functions/api_metering.yaml b/platform_functions/api_metering.yaml new file mode 100644 index 000000000..778b47d0f --- /dev/null +++ b/platform_functions/api_metering.yaml @@ -0,0 +1,260 @@ +openapi: 3.0.1 +info: + title: API Metering + description: This API provides detail usage metrics that helps you as an organization to 1. Track and understand your usage of Sentient APIs 2. Monitor performance of your applications and Sentient APIs 3. Discover problems that may be happening between your application and Sentient APIs. By using this API you can dramatically speed up resolution time while troubleshooting problems or are in need of technical support from Sentient. The metrics provided throught this API include request counts, total latencies, error rates, request sizes, and response rates. You can view API metrics in administrator user dashboard. + version: v0.1.0 + x-subscribelink: api_metering +servers: + - url: 'https://dev-microserviceapi-catalog.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jul 09, 2021" +paths: + /v0/apimetering: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + - activity: 'YES' + microservice_performance: + - endpoint: https://api.sentient.io/DaaS/dev/ihidata + error_rate: 0 + function_code: IHIDATA + function_name: LiDAR Trajectory Data + total_calls: 68 + - endpoint: >- + http://dev-apis.sentient.io/extauth/microservices/utility/wikipedia/v0.1/getresult1.0/getresults + error_rate: 3.7037037037037033 + function_code: WIKIPEDIA + function_name: Wikipedia + total_calls: 27 + microservice_usage_by_daterange: + - - '2021-01-27' + - 3 + - 0 + - - '2021-01-28' + - 4 + - 0 + summary: + avg_response_time: 3012.5098039215686 + total_error_count: 21.568627450980394 + total_function_count: 11 + total_successfull_calls: 51 + userlist: + - user_id: 4 + user_name: root_01 + - user_id: 5 + user_name: '22222' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The status message of the API call. + results: + type: array + example: [{" } + properties: + avg_response_time: + description: Average response time of the api calls + example: 3012.5098039215686 + type: integer + format: float + total_error_count: + description: Total error count of the api calls + example: 21.568627450980394 + type: integer + format: float + total_function_count: + description: Total function count + example: 11 + type: integer + total_successfull_calls: + description: Total success calls of the api + example: 51 + type: integer + userlist: + type: array + example: [{- + An invoice is a commercial document that itemizes and records a + transaction between a buyer and a seller. If goods or services were + purchased on credit, the invoice usually specifies the terms of the deal + and provides information on the available methods of payment + email: sridevi1@sentient.io + id: 303 + name: INV Org + status: Deleted + user_name: admin + - date_created: 25 oct 2019 / 12:09 + description: fgfdgdfgdf + email: fdsfsdfds@rgfdgdf + id: 302 + name: fdfdsfsdf + status: Deleted + user_name: admin + - date_created: 11 oct 2019 / 07:50 + description: contact person - anthony_yeo@imda.gov.sg + email: anthony_yeo@imda.gov.sg + id: 269 + name: IMDA - Infocomm Media Development Authority + status: Deleted + user_name: admin + - date_created: 15 oct 2019 / 03:41 + description: Description of org + email: mohamed_luqman@sentient.io + id: 274 + name: Luqman Corp + status: Deleted + user_name: admin + - date_created: 25 oct 2019 / 03:12 + description: Demo organisation + email: mani@sentient.io + id: 299 + name: Demo ORG + status: Deleted + user_name: admin + - date_created: 25 oct 2019 / 09:03 + description: Demo Org One description + email: mohamed_luqman@sentient.io + id: 301 + name: Demo Org 1 + status: Deleted + user_name: admin + - date_created: 17 oct 2019 / 10:16 + description: Qualgro Partners Pte Ltd + email: peter.huynh@qualgro.com + id: 287 + name: Qualgro Partners Pte Ltd + status: Deleted + user_name: admin + - date_created: 29 aug 2019 / 12:50 + description: Consumer Corp + email: mohan@sentient.io + id: 249 + name: MRF Corp + status: Deleted + user_name: admin + - date_created: 25 oct 2019 / 03:21 + description: Testing org + email: mohan@sentient.io + id: 300 + name: Moh_Test + status: Deleted + user_name: admin + - date_created: 22 oct 2019 / 10:24 + description: BeeX Pte Ltd + email: grace@beex.sg + id: 298 + name: BeeX Pte Ltd + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 10:12 + description: Mercurics + email: kai.reuber@mercurics.com + id: 297 + name: Mercurics + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 09:32 + description: test + email: arun@gmail.com + id: 296 + name: TEST ORG + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 09:29 + description: test + email: arun@gmail.com + id: 295 + name: TTA + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 09:25 + description: test + email: arun@gmail.com + id: 294 + name: Zendesk Test + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 09:15 + description: test + email: arun@gmail.com + id: 293 + name: Test 147 + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 09:05 + description: test + email: arun@gmail.com + id: 292 + name: Arun test org + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 09:03 + description: test + email: arun@gmail.com + id: 291 + name: Arun test org + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 06:23 + description: Test1 + email: mohan@sentient.io + id: 290 + name: Mohan ltd + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 06:17 + description: Test + email: mohan@sentient.io + id: 289 + name: Mohan Inc + status: Deleted + user_name: admin + - date_created: 18 oct 2019 / 06:10 + description: Test + email: mohan@sentient.io + id: 288 + name: Moh2 Test + status: Deleted + user_name: admin + - date_created: 16 oct 2019 / 09:13 + description: test + email: test@gmail.com + id: 286 + name: Test2 + status: Deleted + user_name: admin + - date_created: 16 oct 2019 / 09:03 + description: test + email: arun@gmail.com + id: 285 + name: Daniel tech + status: Deleted + user_name: admin + - date_created: 16 oct 2019 / 08:48 + description: test + email: arun@gmail.com + id: 284 + name: Test1 + status: Deleted + user_name: admin + - date_created: 16 oct 2019 / 05:16 + description: test 1 + email: arun@gmail.com + id: 283 + name: Luqman Corp + status: Deleted + user_name: admin + - date_created: 15 oct 2019 / 11:33 + description: Test Corp + email: mohamed_luqman@sentient.io + id: 281 + name: Test Corp + status: Deleted + user_name: admin + - date_created: 15 oct 2019 / 11:08 + description: Test Org Corp + email: mohamed_luqman@sentient.io + id: 280 + name: Test Org Corp + status: Deleted + user_name: admin + - date_created: 15 oct 2019 / 10:02 + description: Luqman Test 002 Corp + email: mohamed_luqman@sentient.io + id: 279 + name: Luqman Test 002 Corp + status: Deleted + user_name: admin + - date_created: 15 oct 2019 / 07:28 + description: Luqman Test 001 Corp + email: mohamed_luqman@sentient.io + id: 278 + name: Luqman Test 001 Corp + status: Deleted + user_name: admin + - date_created: 15 oct 2019 / 06:36 + description: test basic org + email: sridevi1@sentient.io + id: 277 + name: test basic org + status: Deleted + user_name: admin + - date_created: 15 oct 2019 / 05:41 + description: Description + email: mohamed_luqman@sentient.io + id: 276 + name: Luqman Test 001 Corp + status: Deleted + user_name: admin + - date_created: 14 oct 2019 / 07:32 + description: Test + email: mohan@sentient.io + id: 272 + name: Moh Corp + status: Deleted + user_name: admin + - date_created: 15 oct 2019 / 04:24 + description: org corp + email: sridevi1@sentient.io + id: 275 + name: org corp + status: Deleted + user_name: admin + - date_created: 10 oct 2019 / 09:30 + description: contact person Bee Hin Png + email: pngbeehin@ldr.sg + id: 268 + name: LDR Technology Pte Ltd + status: Deleted + user_name: admin + - date_created: 15 oct 2019 / 02:29 + description: www.waynechia.com + email: sentient2@waynechia.com + id: 273 + name: Wayne Chia Inc2 + status: Deleted + user_name: admin + - date_created: 14 oct 2019 / 03:33 + description: Myr Labs - LattePanda + email: mani@sentient.io + id: 270 + name: Myr Labs - LattePanda + status: Deleted + user_name: admin + - date_created: 09 aug 2018 / 08:25 + description: IMDA Org + email: '' + id: 109 + name: IMDA + status: Deleted + user_name: admin + - date_created: 03 oct 2019 / 02:41 + description: Hackathon-1 organization Oct4-6 2019 + email: priya@sentient.io + id: 266 + name: Hackathon-1 + status: Deleted + user_name: admin + - date_created: 01 oct 2019 / 13:31 + description: Starter-Data Consultancy + email: sridevi1@sentient.io + id: 265 + name: Starter-Data Consultancy + status: Deleted + user_name: admin + - date_created: 01 oct 2019 / 04:55 + description: Sentient Org Starter + email: sridevi1@sentient.io + id: 263 + name: Sentient Org Starter + status: Deleted + user_name: admin + - date_created: 01 oct 2019 / 04:31 + description: Sentient Org Basic + email: sridevi1@sentient.io + id: 262 + name: Sentient Org Basic + status: Deleted + user_name: admin + - date_created: 10 sep 2019 / 04:37 + description: Test org starter + email: sridevi1@sentient.io + id: 253 + name: Test org starter + status: Deleted + user_name: admin + - date_created: 25 sep 2019 / 06:35 + description: CMW corp + email: mohan@sentient.io + id: 260 + name: CMW + status: Deleted + user_name: admin + - date_created: 27 aug 2019 / 06:28 + description: Basic org + email: ramesh1@sentient.io + id: 248 + name: Basic org + status: Deleted + user_name: admin + - date_created: 18 sep 2019 / 04:41 + description: Sentient Producer + email: ramesh1@sentient.io + id: 259 + name: Sentient Producer + status: Deleted + user_name: admin + - date_created: 17 sep 2019 / 15:25 + description: test + email: mohan@sentient.io + id: 258 + name: ABB + status: Deleted + user_name: admin + - date_created: 17 sep 2019 / 12:45 + description: Arun corporation + email: arun@gmail.com + id: 257 + name: Infy Soft + status: Deleted + user_name: admin + - date_created: 17 sep 2019 / 12:24 + description: Arun corp. + email: arun@gmail.com + id: 256 + name: UBM + status: Deleted + user_name: admin + - date_created: 17 sep 2019 / 10:29 + description: test + email: arun@gmail.com + id: 255 + name: Invoice Org + status: Deleted + user_name: admin + - date_created: 16 sep 2019 / 05:08 + description: Arun corpration. + email: arun@gmail.com + id: 254 + name: ABB Corp. + status: Deleted + user_name: admin + - date_created: 23 aug 2019 / 05:21 + description: test basic org + email: ramesh1@sentient.io + id: 247 + name: test basic org + status: Deleted + user_name: admin + - date_created: 09 sep 2019 / 09:54 + description: APTRA-POC + email: sridevi1@sentient.io + id: 252 + name: APTRA-POC + status: Deleted + user_name: admin + - date_created: 09 sep 2019 / 09:38 + description: KC test + email: sridevi2@sentient.io + id: 251 + name: KC test + status: Deleted + user_name: admin + - date_created: 05 sep 2019 / 09:17 + description: Test org basic + email: ramesh1@sentient.io + id: 250 + name: Test org basic + status: Deleted + user_name: admin + - date_created: 05 aug 2019 / 04:49 + description: Testing 001 + email: luqman@email.com + id: 234 + name: Luqman Org + status: Deleted + user_name: admin + - date_created: 22 aug 2019 / 09:00 + description: Sentient API Testing + email: priya@sentient.io + id: 246 + name: Sentient API Testing + status: Deleted + user_name: admin + - date_created: 22 aug 2019 / 03:38 + description: Test Org + email: test@email.com + id: 245 + name: Test Org 100 + status: Deleted + user_name: admin + - date_created: 21 aug 2019 / 16:28 + description: Testing + email: email@gmail.com + id: 244 + name: Test Org 444 + status: Deleted + user_name: admin + - date_created: 21 aug 2019 / 15:33 + description: Testing + email: email@email.com + id: 243 + name: Test Org 333 + status: Deleted + user_name: admin + - date_created: 21 aug 2019 / 15:15 + description: Test Org 222 + email: email@email.com + id: 242 + name: Test Org 222 + status: Deleted + user_name: admin + - date_created: 21 aug 2019 / 15:08 + description: Test Org + email: test@email.com + id: 241 + name: Test Org 111 + status: Deleted + user_name: admin + - date_created: 21 aug 2019 / 12:59 + description: Test Org + email: mohamed_luqman@sentient.io + id: 240 + name: Test Org 001 + status: Deleted + user_name: admin + - date_created: 18 jul 2019 / 11:55 + description: MMN Org + email: bharati@sentient.io + id: 225 + name: MMN + status: Deleted + user_name: admin + - date_created: 14 aug 2019 / 11:38 + description: test basic member functions + email: priya@sentient.io + id: 239 + name: DA Basic org + status: Deleted + user_name: admin + - date_created: 12 aug 2019 / 07:18 + description: test + email: arun@gmail.com + id: 238 + name: TEST DA3 + status: Deleted + user_name: admin + - date_created: 12 aug 2019 / 07:13 + description: test + email: arun@gmail.com + id: 237 + name: TEST DA2 + status: Deleted + user_name: admin + - date_created: 12 aug 2019 / 06:37 + description: test da + email: arun@gmail.com + id: 236 + name: TEST DA + status: Deleted + user_name: admin + - date_created: 08 aug 2019 / 08:15 + description: Test Preview Account type + email: mohan@sentient.io + id: 235 + name: KYFC + status: Deleted + user_name: admin + - date_created: 12 apr 2019 / 04:33 + description: Test Tepco data provider + email: ramesh1@sentient.io + id: 177 + name: Tepco + status: Deleted + user_name: admin + - date_created: 05 aug 2019 / 03:23 + description: Testing a + email: testing@email.com + id: 233 + name: Test a + status: Deleted + user_name: admin + - date_created: 02 aug 2019 / 05:26 + description: sri org + email: ramesh1@sentient.io + id: 229 + name: sri org + status: Deleted + user_name: admin + - date_created: 02 aug 2019 / 09:27 + description: test + email: mohan@gmail.com + id: 232 + name: TestOrg-11 + status: Deleted + user_name: admin + - date_created: 02 aug 2019 / 07:43 + description: test + email: test@gmail.com + id: 231 + name: Test12345 + status: Deleted + user_name: admin + - date_created: 02 aug 2019 / 07:41 + description: test + email: test@gmail.com + id: 230 + name: TestOg12 + status: Deleted + user_name: admin + - date_created: 12 apr 2019 / 05:20 + description: Test Sony data consumer + email: mohan@sentient.io + id: 178 + name: Sony + status: Deleted + user_name: admin + - date_created: 18 jul 2019 / 08:11 + description: BMO Org + email: bharati@sentient.io + id: 224 + name: BMO + status: Deleted + user_name: admin + - date_created: 22 jul 2019 / 05:35 + description: Demo-consumer Org + email: priya@sentient.io + id: 228 + name: Demo-consumer + status: Deleted + user_name: admin + - date_created: 22 jul 2019 / 05:29 + description: Demo-producer Org + email: priya@sentient.io + id: 227 + name: Demo-producer + status: Deleted + user_name: admin + - date_created: 19 jul 2019 / 06:48 + description: DDE + email: bharati@sentient.io + id: 226 + name: DDE + status: Deleted + user_name: admin + - date_created: 18 jul 2019 / 06:23 + description: TEST + email: mani@sentient.io + id: 223 + name: TEST M14 + status: Deleted + user_name: admin + - date_created: 18 jul 2019 / 06:20 + description: TTM + email: mani@sentient.io + id: 222 + name: TEST M13 + status: Deleted + user_name: admin + - date_created: 18 jul 2019 / 06:17 + description: TEST M + email: mani@sentient.io + id: 221 + name: TEST M12 + status: Deleted + user_name: admin + - date_created: 18 jul 2019 / 06:13 + description: Test admin + email: mani@sentient.io + id: 220 + name: TEST1 + status: Deleted + user_name: admin + - date_created: 17 jul 2019 / 09:16 + description: Test for Demo + email: mani@sentient.io + id: 219 + name: DEMO-005 + status: Deleted + user_name: admin + - date_created: 17 jul 2019 / 08:00 + description: TestOrg + email: bharati@sentient.io + id: 218 + name: TestOrg + status: Deleted + user_name: admin + - date_created: 12 jun 2019 / 07:44 + description: sentient.io Provider - old + email: customerservice@sentient.io + id: 185 + name: sentient.io - old + status: Deleted + user_name: admin + - date_created: 12 jun 2019 / 10:09 + description: Urban planning consultancy- old + email: priya@sentient.io + id: 186 + name: Urban planning consultancy - old + status: Deleted + user_name: admin + - date_created: 16 jul 2019 / 06:27 + description: TEST + email: mani@sentient.io + id: 215 + name: M002 + status: Deleted + user_name: admin + - date_created: 16 jul 2019 / 04:35 + description: Test ORG for PK + email: mani@sentient.io + id: 214 + name: M001 + status: Deleted + user_name: admin + - date_created: 11 jul 2019 / 11:02 + description: sd + email: asd + id: 213 + name: asd + status: Deleted + user_name: admin + - date_created: 11 jul 2019 / 11:01 + description: Democons + email: bharati@sentient.io + id: 212 + name: Democons + status: Deleted + user_name: admin + - date_created: 11 jul 2019 / 11:00 + description: demoprov + email: bharati@sentient.io + id: 211 + name: Demoprov + status: Deleted + user_name: admin + - date_created: 10 jul 2019 / 08:48 + description: TEST M3 + email: t@t.com + id: 210 + name: TEST M3 + status: Deleted + user_name: admin + - date_created: 10 jul 2019 / 04:19 + description: TEST M2 + email: m@m.com + id: 209 + name: TEST M2 + status: Deleted + user_name: admin + - date_created: 10 jul 2019 / 04:13 + description: Sentient child corp + email: mohan@sentient.io + id: 208 + name: Test Corp + status: Deleted + user_name: admin + - date_created: 10 jul 2019 / 00:35 + description: TEST + email: m@m.com + id: 207 + name: TEST M + status: Deleted + user_name: admin + - date_created: 09 jul 2019 / 14:08 + description: SSSS + email: SSSS + id: 206 + name: SSSS + status: Deleted + user_name: admin + - date_created: 09 jul 2019 / 14:06 + description: SSS + email: SSS + id: 205 + name: SSS + status: Deleted + user_name: admin + - date_created: 09 jul 2019 / 14:04 + description: TEST + email: S1@s1.com + id: 204 + name: SS1 + status: Deleted + user_name: admin + - date_created: 09 jul 2019 / 13:31 + description: SS + email: s@s.com + id: 203 + name: SS + status: Deleted + user_name: admin + - date_created: 09 jul 2019 / 13:29 + description: TT12 + email: s@s.com + id: 202 + name: TT12 + status: Deleted + user_name: admin + - date_created: 01 jul 2019 / 07:26 + description: Test + email: mohan@sentient.io + id: 199 + name: Mohan1 + status: Deleted + user_name: admin + - date_created: 02 jul 2019 / 09:30 + description: Demo Test Org + email: bharati@sentient.io + id: 201 + name: Demo Test + status: Deleted + user_name: admin + - date_created: 02 jul 2019 / 04:00 + description: sabio + email: mani@sentient.io + id: 200 + name: sabio + status: Deleted + user_name: admin + - date_created: 28 jun 2019 / 09:08 + description: test + email: a@gmail.com + id: 193 + name: Test Account11 + status: Deleted + user_name: admin + - date_created: 28 jun 2019 / 09:08 + description: test + email: a@gmail.com + id: 192 + name: Test Account + status: Deleted + user_name: admin + - date_created: 02 may 2018 / 10:20 + description: Jachin + email: '' + id: 24 + name: Jachin + status: Deleted + user_name: admin + - date_created: 27 jun 2019 / 07:20 + description: test 11 + email: '' + id: 191 + name: TestOne + status: Deleted + user_name: admin + - date_created: 27 jun 2019 / 06:02 + description: df + email: arun@gmail.com + id: 190 + name: New + status: Deleted + user_name: admin + - date_created: 27 jun 2019 / 05:38 + description: dfdg + email: '' + id: 189 + name: New test + status: Deleted + user_name: admin + - date_created: 12 jun 2019 / 07:37 + description: for org create test + email: '' + id: 184 + name: TEST005M + status: Deleted + user_name: admin + - date_created: 13 jun 2019 / 12:10 + description: Demo_Provider Org + email: mani@sentient.io + id: 187 + name: Demo_Provider + status: Deleted + user_name: admin + - date_created: 13 jun 2019 / 12:12 + description: Demo_Consumer Org + email: '' + id: 188 + name: Demo_Consumer + status: Deleted + user_name: admin + - date_created: 01 mar 2019 / 12:37 + description: panasonic org + email: null + id: 170 + name: panasonic + status: Deleted + user_name: admin + - date_created: 09 jun 2019 / 09:25 + description: djkjdbdg + email: null + id: 183 + name: deepa + status: Deleted + user_name: admin + - date_created: 06 jun 2019 / 11:38 + description: 123,346 + email: null + id: 181 + name: bharathi + status: Deleted + user_name: admin + - date_created: 06 jun 2019 / 10:31 + description: asd + email: null + id: 180 + name: Testing + status: Deleted + user_name: admin + - date_created: 15 may 2019 / 11:54 + description: test + email: null + id: 179 + name: Arun Tech + status: Deleted + user_name: admin + - date_created: 09 apr 2019 / 13:42 + description: sritech + email: sridevi1@sentient.io + id: 584 + name: sritech + status: Deleted + user_name: admin + - date_created: 05 apr 2019 / 04:38 + description: Test + email: null + id: 176 + name: TEST HDB + status: Deleted + user_name: admin + - date_created: 03 apr 2019 / 13:54 + description: TEST + email: null + id: 175 + name: BSNL + status: Deleted + user_name: admin + - date_created: 28 mar 2019 / 07:06 + description: eureka org + email: null + id: 174 + name: eureka + status: Deleted + user_name: admin + - date_created: 28 mar 2019 / 06:52 + description: test org + email: null + id: 173 + name: test + status: Deleted + user_name: admin + - date_created: 18 mar 2019 / 00:50 + description: test org for the demo + email: null + id: 172 + name: mediacorptest + status: Deleted + user_name: admin + - date_created: 01 mar 2019 / 12:55 + description: singtel2 org + email: null + id: 171 + name: singtel2 + status: Deleted + user_name: admin + - date_created: 14 feb 2019 / 07:57 + description: DBS Org + email: null + id: 169 + name: DBS + status: Deleted + user_name: admin + - date_created: 26 dec 2018 / 10:08 + description: alpsoft tech org + email: null + id: 168 + name: alpsoft tech + status: Deleted + user_name: admin + - date_created: 17 dec 2018 / 07:33 + description: sp digital org + email: null + id: 167 + name: sp digital + status: Deleted + user_name: admin + - date_created: 12 dec 2018 / 07:05 + description: Brother International Singapore Pte Ltd + email: null + id: 166 + name: Brother + status: Deleted + user_name: admin + - date_created: 02 nov 2018 / 07:22 + description: StarHub Ltd + email: null + id: 163 + name: StarHub Ltd + status: Deleted + user_name: admin + - date_created: 02 nov 2018 / 10:50 + description: mani,mani + email: null + id: 164 + name: MMM + status: Deleted + user_name: admin + - date_created: 02 nov 2018 / 10:50 + description: '1243' + email: null + id: 165 + name: Peristera + status: Deleted + user_name: admin + - date_created: 01 nov 2018 / 11:53 + description: Building2 + email: null + id: 161 + name: Org + status: Deleted + user_name: admin + - date_created: 01 nov 2018 / 11:53 + description: Building2 + email: null + id: 162 + name: Org + status: Deleted + user_name: admin + - date_created: 01 nov 2018 / 06:09 + description: '' + email: null + id: 160 + name: jagapriya + status: Deleted + user_name: admin + - date_created: 31 oct 2018 / 11:55 + description: '' + email: null + id: 159 + name: Test team + status: Deleted + user_name: admin + - date_created: 03 oct 2018 / 04:50 + description: HDB Org + email: null + id: 146 + name: HDB + status: Deleted + user_name: admin + - date_created: 25 sep 2018 / 09:56 + description: busuncle Org + email: null + id: 145 + name: busuncle + status: Deleted + user_name: admin + - date_created: 20 sep 2018 / 05:38 + description: '' + email: null + id: 139 + name: test2 + status: Deleted + user_name: admin + - date_created: 20 sep 2018 / 05:38 + description: '' + email: null + id: 140 + name: test + status: Deleted + user_name: admin + - date_created: 20 sep 2018 / 05:27 + description: test + email: null + id: 138 + name: new + status: Deleted + user_name: admin + - date_created: 19 sep 2018 / 10:33 + description: TEST6767 + email: null + id: 137 + name: TEST6767 + status: Deleted + user_name: admin + - date_created: 18 sep 2018 / 06:07 + description: test3,test3 + email: null + id: 132 + name: test3 + status: Deleted + user_name: admin + - date_created: 18 sep 2018 / 05:13 + description: 35,Phase 2 + email: null + id: 131 + name: test001 + status: Deleted + user_name: admin + - date_created: 18 sep 2018 / 04:51 + description: test002,test002 + email: null + id: 130 + name: test002 + status: Deleted + user_name: admin + - date_created: 17 sep 2018 / 10:01 + description: '' + email: null + id: 128 + name: Eddie + status: Deleted + user_name: admin + - date_created: 17 sep 2018 / 10:01 + description: '' + email: null + id: 129 + name: Eddie Org + status: Deleted + user_name: admin + - date_created: 12 sep 2018 / 07:39 + description: as + email: null + id: 127 + name: New + status: Deleted + user_name: admin + - date_created: 12 sep 2018 / 06:55 + description: test + email: null + id: 126 + name: moni org + status: Deleted + user_name: admin + - date_created: 23 aug 2018 / 06:57 + description: Test123131 + email: null + id: 124 + name: Test + status: Deleted + user_name: admin + - date_created: 22 aug 2018 / 12:33 + description: line1,line2 + email: null + id: 122 + name: Test3321 + status: Deleted + user_name: admin + - date_created: 22 aug 2018 / 12:33 + description: sd,sd + email: null + id: 123 + name: Test1233 + status: Deleted + user_name: admin + - date_created: 22 aug 2018 / 10:54 + description: Monish Org + email: null + id: 121 + name: Monish + status: Deleted + user_name: admin + - date_created: 22 aug 2018 / 10:54 + description: Tinmen Org + email: null + id: 120 + name: Tinmen + status: Deleted + user_name: admin + - date_created: 22 aug 2018 / 05:36 + description: line1,line2 + email: null + id: 118 + name: TESH TECH + status: Deleted + user_name: admin + - date_created: 22 aug 2018 / 05:36 + description: '' + email: null + id: 119 + name: test23 + status: Deleted + user_name: admin + - date_created: 22 aug 2018 / 05:33 + description: '' + email: null + id: 117 + name: test007 + status: Deleted + user_name: admin + - date_created: 17 aug 2018 / 05:29 + description: SINGAPORE,SINGAPORE + email: null + id: 116 + name: IMDA-SG + status: Deleted + user_name: admin + - date_created: 17 aug 2018 / 03:49 + description: address1,address2 + email: null + id: 115 + name: peristera + status: Deleted + user_name: admin + - date_created: 16 aug 2018 / 10:12 + description: '' + email: null + id: 113 + name: test + status: Deleted + user_name: admin + - date_created: 16 aug 2018 / 09:58 + description: test + email: null + id: 111 + name: New + status: Deleted + user_name: admin + - date_created: 14 aug 2018 / 09:31 + description: Call Levels Org + email: null + id: 110 + name: Call Levels + status: Deleted + user_name: admin + - date_created: 09 aug 2018 / 06:26 + description: '' + email: null + id: 108 + name: Jennifer Org + status: Deleted + user_name: admin + - date_created: 09 aug 2018 / 05:32 + description: Singtel Org + email: null + id: 107 + name: Singtel + status: Deleted + user_name: admin + - date_created: 08 aug 2018 / 07:33 + description: Jennifer Org + email: null + id: 106 + name: Jennifer Org + status: Deleted + user_name: admin + - date_created: 08 aug 2018 / 07:33 + description: Maven Lab + email: null + id: 105 + name: Maven Lab + status: Deleted + user_name: admin + - date_created: 08 aug 2018 / 04:35 + description: Chef-in-Box + email: null + id: 101 + name: Chef-in-Box + status: Deleted + user_name: admin + - date_created: 08 aug 2018 / 04:45 + description: Chris Org + email: null + id: 103 + name: Demo Org + status: Deleted + user_name: admin + - date_created: 08 aug 2018 / 04:45 + description: Jennifer Org + email: null + id: 102 + name: Jennifer Org + status: Deleted + user_name: admin + - date_created: 08 aug 2018 / 04:45 + description: Maven Lab + email: null + id: 104 + name: Maven Lab + status: Deleted + user_name: admin + - date_created: 08 aug 2018 / 04:19 + description: Jennifer Org + email: null + id: 100 + name: Jennifer Org + status: Deleted + user_name: admin + - date_created: 08 aug 2018 / 03:37 + description: '' + email: null + id: 99 + name: bharathi + status: Deleted + user_name: admin + - date_created: 07 aug 2018 / 16:43 + description: New one + email: null + id: 98 + name: New one + status: Deleted + user_name: admin + - date_created: 07 aug 2018 / 16:24 + description: test + email: null + id: 97 + name: New12 + status: Deleted + user_name: admin + - date_created: 07 aug 2018 / 12:02 + description: chennai,600032 + email: null + id: 95 + name: Arun Tech Lte + status: Deleted + user_name: admin + - date_created: 26 jun 2018 / 04:19 + description: Chef-in-Box + email: null + id: 81 + name: Chef-in-Box + status: Deleted + user_name: admin + - date_created: 08 jun 2018 / 11:59 + description: test org 2 2 + email: null + id: 67 + name: test org 2i + status: Deleted + user_name: admin + - date_created: 25 jun 2018 / 03:56 + description: Chef-in-Box + email: null + id: 76 + name: Chef-in-Box + status: Deleted + user_name: admin + - date_created: 21 jun 2018 / 11:14 + description: sdsd + email: null + id: 75 + name: New Test + status: Deleted + user_name: admin + - date_created: 12 jun 2018 / 05:25 + description: new org + email: null + id: 74 + name: new + status: Deleted + user_name: admin + - date_created: 08 jun 2018 / 11:58 + description: test org 2 + email: null + id: 66 + name: test org 2 + status: Deleted + user_name: admin + - date_created: 08 jun 2018 / 11:58 + description: test org + email: null + id: 65 + name: test org + status: Deleted + user_name: admin + - date_created: 07 jun 2018 / 08:28 + description: test + email: null + id: 63 + name: MMM + status: Deleted + user_name: admin + - date_created: 06 jun 2018 / 12:32 + description: TEst Def + email: null + id: 62 + name: TEst Def + status: Deleted + user_name: admin + - date_created: 28 may 2018 / 14:24 + description: Edlabs Consultant + email: null + id: 28 + name: Edlabs + status: Deleted + user_name: admin + - date_created: 04 jun 2018 / 11:02 + description: fdf + email: null + id: 56 + name: rose + status: Deleted + user_name: admin + - date_created: 04 jun 2018 / 06:33 + description: '11' + email: null + id: 43 + name: '11' + status: Deleted + user_name: admin + - date_created: 01 jun 2018 / 11:27 + description: NEW CHILD ORG Test + email: null + id: 41 + name: NEW CHILD ORG + status: Deleted + user_name: admin + - date_created: 31 may 2018 / 07:41 + description: TEST Child + email: null + id: 39 + name: TEST Child + status: Deleted + user_name: admin + - date_created: 29 may 2018 / 17:46 + description: Peristera team + email: null + id: 35 + name: Peristera + status: Deleted + user_name: admin + - date_created: 29 may 2018 / 14:09 + description: Test ORG API Key 2 + email: null + id: 34 + name: Test ORG API Key 2 + status: Deleted + user_name: admin + - date_created: 29 may 2018 / 14:07 + description: Test ORG API Key + email: null + id: 33 + name: Test ORG API Key + status: Deleted + user_name: admin + - date_created: 29 may 2018 / 13:13 + description: '111' + email: null + id: 32 + name: '111' + status: Deleted + user_name: admin + - date_created: 29 may 2018 / 13:12 + description: test10 + email: null + id: 31 + name: test10 + status: Deleted + user_name: admin + - date_created: 29 may 2018 / 13:08 + description: test99 + email: null + id: 30 + name: test99 + status: Deleted + user_name: admin + - date_created: 29 may 2018 / 12:48 + description: eee22 + email: null + id: 29 + name: eee + status: Deleted + user_name: admin + - date_created: 08 may 2018 / 05:31 + description: Software development + email: null + id: 26 + name: Peristera + status: Deleted + user_name: admin + - date_created: 07 may 2018 / 11:12 + description: test org flask + email: null + id: 25 + name: org6 + status: Deleted + user_name: admin + - date_created: 30 apr 2018 / 12:24 + description: Test005 + email: null + id: 23 + name: Test005 + status: Deleted + user_name: admin + - date_created: 27 apr 2018 / 12:23 + description: org5 + email: null + id: 22 + name: org5 + status: Deleted + user_name: admin + - date_created: 27 apr 2018 / 12:21 + description: org4 + email: null + id: 21 + name: org4 + status: Deleted + user_name: admin + - date_created: 27 apr 2018 / 12:19 + description: org3 + email: null + id: 20 + name: org3 + status: Deleted + user_name: admin + - date_created: 27 apr 2018 / 12:16 + description: org2 + email: null + id: 19 + name: org2 + status: Deleted + user_name: admin + - date_created: 24 apr 2018 / 10:48 + description: Test 1234 + email: null + id: 17 + name: Org New + status: Deleted + user_name: admin + - date_created: 24 apr 2018 / 10:45 + description: Test + email: null + id: 16 + name: New Test1 + status: Deleted + user_name: admin + - date_created: 24 apr 2018 / 10:43 + description: Test + email: null + id: 15 + name: New Test + status: Deleted + user_name: admin + - date_created: 24 apr 2018 / 10:42 + description: Test + email: null + id: 14 + name: Test + status: Deleted + user_name: admin + - date_created: 24 apr 2018 / 09:53 + description: sdfds + email: null + id: 18 + name: Org + status: Deleted + user_name: admin + - date_created: 24 apr 2018 / 09:05 + description: Test + email: null + id: 13 + name: Test + status: Deleted + user_name: admin + - date_created: 24 apr 2018 / 09:04 + description: Test + email: null + id: 12 + name: Test + status: Deleted + user_name: admin + - date_created: 24 apr 2018 / 09:03 + description: Test + email: null + id: 11 + name: Test + status: Deleted + user_name: admin + - date_created: 24 apr 2018 / 08:57 + description: Test + email: null + id: 10 + name: Test + status: Deleted + user_name: admin + - date_created: 23 apr 2018 / 06:54 + description: Test + email: null + id: 9 + name: Test + status: Deleted + user_name: admin + - date_created: 23 apr 2018 / 06:53 + description: eee + email: null + id: 8 + name: eeee + status: Deleted + user_name: admin + - date_created: 23 apr 2018 / 06:47 + description: test + email: null + id: 7 + name: test + status: Deleted + user_name: admin + - date_created: 23 apr 2018 / 06:32 + description: '11' + email: null + id: 6 + name: '11111' + status: Deleted + user_name: admin + - date_created: 23 apr 2018 / 06:31 + description: yyyyyyyyyyy + email: null + id: 5 + name: yyyyyyyyyy + status: Deleted + user_name: admin + - date_created: 23 apr 2018 / 06:30 + description: qq + email: null + id: 2 + name: qq + status: Deleted + user_name: admin + - date_created: 23 apr 2018 / 06:30 + description: qqrrr + email: null + id: 3 + name: qqrrr + status: Deleted + user_name: admin + - date_created: 23 apr 2018 / 06:30 + description: eee + email: null + id: 4 + name: yuiom + status: Deleted + user_name: admin + status: success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + results: + type: array + example: [{} + description: Json Object of returned results + properties: + group_id: + type: integer + example: "2374" + description: Group id of the group + group_name: + type: string + example: AI & Data (Individual) + description: Group name of the group + group_description: + type: string + example: Predefined group + description: Group description of the group + date_created: + type: string + example: "22 jun 2021 / 20:12" + description: Group created date and time + date_updated: + type: string + example: "22 jun 2021 / 20:12" + description: Group details updated date and time + created_by: + type: string + example: "2" + description: Group created by user + group_function: + type: array + example: [{} + description: Json Object of returned results + properties: + org_id: + type: integer + example: 829 + description: Organization Id + name: + type: string + example: example@example.io + description: Organization name + email: + type: string + example: example@example.io + description: Organization email + description: + type: string + example: example description + description: Organization description + date_created: + type: string + example: 05 aug 2020 / 16:53 + description: Organization created date in the format DD MM YYYY / HH:MM + date_updated: + type: string + example: 05 aug 2020 / 16:53 + description: Organization date updated in the format DD MM YYYY / HH:MM + created_by: + type: string + example: admin + description: Organization created by admin + org_api_key: + type: string + example: 5B64B2B... + description: Organization API Key + client_id: + type: string + example: CC22C.. + description: Organization client Id + public_key: + type: string + example: MIGfMA0GCSq... + description: Organization public key + ctype: + type: string + example: NO + description: |+ + Organization account type. + - YES - Corporate account + - NO - Individual account + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 09,2021 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/platform_functions/refresh_api_key.yaml b/platform_functions/refresh_api_key.yaml new file mode 100644 index 000000000..6675cb9e8 --- /dev/null +++ b/platform_functions/refresh_api_key.yaml @@ -0,0 +1,132 @@ +openapi: 3.0.1 +info: + title: Refresh API Key + description: This mocroservice is used to refresh user's API Key. + version: v0.1.0 + x-subscribelink: refresh_api_key +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 12, 2021" +paths: + /org/v0/refreshapikey: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + user_id: 2196 + new_api_key: 5D8BA2F849F9... + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + description: The result of the API call. + example: { "" } + properties: + user_id: + description: User Id of the user + example: 2196 + type: integer + new_api_key: + description: User new api key + example: "AA6A108150A04..." + type: string + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 09, 2021 + description: Initial version release + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + input: + type: object + properties: + user_id: + x-name: user_id + type: integer + example: 2196 + description: Default it will be based on api key user details. For User Id, Refer to User List API to get the user id (results.user_id) details. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/platform_functions/remove_function_from_group.yaml b/platform_functions/remove_function_from_group.yaml new file mode 100644 index 000000000..0b2c6d08b --- /dev/null +++ b/platform_functions/remove_function_from_group.yaml @@ -0,0 +1,127 @@ +openapi: 3.0.1 +info: + title: Remove Function From Group + description: This API provides operations to manage groups in your organization. This API helps to remove the function from the group. + x-subscribelink: remove_function_from_group + version: '0.1.0' +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 6, 2021" +paths: + /org/v0/removefunctionfromgroup: + get: + tags: + - v0.1.0 + required: + - function_group_id + parameters: + - in: query + name: function_group_id + schema: + type: integer + required: true + description: Function Group Id. Initially to get Group Id. Refer to Group List API to get the group id(results.group_id) details. To get function_group_id, Refer to View Group Details API to get the id from (result.group_function.id) details for any particular function. + example: "66934" + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 6,2021 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/platform_functions/remove_group_from_user.yaml b/platform_functions/remove_group_from_user.yaml new file mode 100644 index 000000000..1f93a27f8 --- /dev/null +++ b/platform_functions/remove_group_from_user.yaml @@ -0,0 +1,125 @@ +openapi: 3.0.1 +info: + title: Remove Group From User + description: This API provides operations to remove assigned group in your organization. + x-subscribelink: remove_group_from_user + version: '0.1.0' +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Nov 1, 2021" +paths: + /org/v0/removeuserfromgroup: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: user_group_id + schema: + type: integer + required: true + description: User Group Id. Refer to View User Details API to get the user group id (results.groups.id) details. + example: "1" + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Deleted + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Deleted + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 1,2021 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/platform_functions/remove_user_from_function.yaml b/platform_functions/remove_user_from_function.yaml new file mode 100644 index 000000000..979020ffc --- /dev/null +++ b/platform_functions/remove_user_from_function.yaml @@ -0,0 +1,127 @@ +openapi: 3.0.1 +info: + title: Remove User From Function + description: This API provides operations to remove the assigned function to users in your organization. + x-subscribelink: remove_user_from_function + version: '0.1.0' +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 6, 2021" +paths: + /org/v0/removeuserfromfunction: + get: + tags: + - v0.1.0 + required: + - user_function_id + parameters: + - in: query + name: user_function_id + schema: + type: integer + required: true + description: User Function Id. Initially to get User Id. Refer to User List API to get the user id(results.user_id) details. To get user_function_id, Refer to View User Details API to get the id from (results.direct_function.id) details for any particular function. + example: "66934" + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 6,2021 + description: Initial version release + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. diff --git a/platform_functions/subscribed_microservices.yaml b/platform_functions/subscribed_microservices.yaml new file mode 100644 index 000000000..630327cda --- /dev/null +++ b/platform_functions/subscribed_microservices.yaml @@ -0,0 +1,195 @@ +openapi: 3.0.1 +info: + title: Subscribed Microservices + description: This API provides operations to manage subscribed microservices in your organization. The organizational subscribed microservices can be adjusted by using the admistrator user dashboard. + version: v0.1.0 + x-subscribelink: subscribed_microservices +servers: + - url: 'https://dev-microserviceapi-catalog.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 12, 2021" +paths: + /v0/subscribedmicroservices: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + status: success + message: successfully processed + results: + - microservice: Date Resolution + calls: 57 + spend: 0 + class: Utility + doc_url: 'https://docs.sentient.io/#/utility/date_resolution' + endpoint: >- + https://dev-apis.sentient.io/microservices/utility/dateresolution/v0/getresults + - microservice: Date Resolution + calls: 57 + spend: 0 + class: Utility + doc_url: '' + endpoint: >- + https://dev-apis.sentient.io/microservices/utility/dateresolution/v0/getresults + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + status: + type: string + example: Success + description: Activity details + message: + type: string + example: Successfully Processed + description: Activity details + results: + type: array + example: [{} + description: Json Object of returned results + properties: + user_id: + type: integer + example: 2194 + description: User id of the user + user_name: + type: string + example: "example@example.io" + description: User name of the user + last_active: + type: string + example: "22 jun 2021 / 13:43" + description: Last active details of the user + user_api_key: + type: string + example: "99C61DF0B6..." + description: User api key of the user + groups: + type: array + example: [{ Date: Tue, 8 Mar 2022 14:13:51 +0530 Subject: [PATCH 3729/5916] Create google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 544 +++++++++++++++++++++++++++ 1 file changed, 544 insertions(+) create mode 100644 nlp/google_translate_large_file.yaml diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml new file mode 100644 index 000000000..b8b3ef29c --- /dev/null +++ b/nlp/google_translate_large_file.yaml @@ -0,0 +1,544 @@ +openapi: 3.0.1 +info: + title: Google Translate (Large File) + description: |+ + This microservice takes in the input as file and translates the text and return the output as file. + - Supports the following file formats: .pdf, .txt, .docx + For pdf and txt files, we suggest breaking them up into batches and making multiple calls to this microservice for more effective. + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/google_mt_lp.yaml + version: '0.1.0' + x-subscribelink: google_translate + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 08, 2022" +paths: + /async/microservices/nlp/googletranslate/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: application/vnd.openxmlformats-officedocument.wordprocessingml.document + key: 309/495/lp-googletranslate/input/textsum_4f2bac8ccf854358aab6b7045f59efac.docx + policy: 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20220308/auto/storage/goog4_request + x-goog-date: 20220308T050232Z + x-goog-meta-additional_param: '{"input_language": "en", "target_language": "fr"}' + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 614e38ba9bc3448b9bb5c84159b0fb63 + x-goog-meta-uuid: 4f2bac8ccf854358aab6b7045f59efac + x-goog-signature: 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 + jid: 4f2bac8ccf854358aab6b7045f59efac + request_cost: 0.0842 + url: https://storage.googleapis.com/user_space_dev/ + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/nlp/googletranslate/v0/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Mar 08, 2022' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googletranslate/output/textsum_4f2bac8ccf854358aab6b7045f59efac_4f2bac8ccf854358aab6b7045f59efac.docx?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20220308%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20220308T051150Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.3323 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 08, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + - additional_param + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: 'textsum.docx' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'application/vnd.openxmlformats-officedocument.wordprocessingml.document' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + ["text/plain","application/pdf","application/vnd.openxmlformats-officedocument.wordprocessingml.document"] + additional_param: + x-name: additional_param + type: object + properties: + input_language: + x-model: input_language + type: string + default: true + example: en + description: |+ + Language of Input File + target_language: + x-threshold: target_language + type: string + default: true + example: fr + description: |+ + Target Language to Convert + uploadinput: + type: object + required: + - file + properties: + file: + type: string + format: binary + default: true + example: textsum.docx + description: file + content-type: + type: string + default: false + example: application/vnd.openxmlformats-officedocument.wordprocessingml.document + description: Fields + key: + type: string + default: false + example: 309/495/lp-googletranslate/input/textsum_4f2bac8ccf854358aab6b7045f59efac.docx + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: "{\"input_language\": \"en\", \"target_language\": \"fr\"}" + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 309 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 495 + description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 512adef7908bfe8c5a89e162ca514e40e250323d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 8 Mar 2022 14:14:48 +0530 Subject: [PATCH 3730/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index 0b94f35c7..77399190a 100644 --- a/index.yaml +++ b/index.yaml @@ -167,6 +167,10 @@ nlp: title: Google Translate versions: 0.1.0: 'google_translate.yaml' + google_translate_large_file: + title: Google Translate (Large File) + versions: + 0.1.0: 'google_translate_large_file.yaml' recommendation engine: engine: title: Recommendation Engine From efd011760d3692391c14be7e63a5ecfd4e568194 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 8 Mar 2022 14:16:36 +0530 Subject: [PATCH 3731/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index b8b3ef29c..ff0ef9fad 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/google_mt_lp.yaml + https://storage.googleapis.com/lpdocs/google_translate.pdf version: '0.1.0' x-subscribelink: google_translate x-apitype: large file From 74a716e37bc11c9a751cf29114ca5d115e7919f0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 8 Mar 2022 14:47:23 +0530 Subject: [PATCH 3732/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 112 ++++++++++++++++++++++++++- 1 file changed, 111 insertions(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index ff0ef9fad..56a763467 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -6,7 +6,117 @@ info: - Supports the following file formats: .pdf, .txt, .docx For pdf and txt files, we suggest breaking them up into batches and making multiple calls to this microservice for more effective. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + + - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/nlp/google_translate_large_file + - The file upload form https://sentient.io/upload/dev/form.html + **Supported languages are:** + - af - afrikaans + - sq - albanian + - am - amharic + - ar - arabic + - hy - armenian + - az - azerbaijani + - eu - basque + - be - belarusian + - bn - bengali + - bs - bosnian + - bg - bulgarian + - ca - catalan + - ceb - cebuano + - ny - chichewa + - zh-cn - chinese (simplified) + - zh-tw - chinese (traditional) + - co - corsican + - hr - croatian + - cs - czech + - da - danish + - nl - dutch + - en - english + - eo - esperanto + - et - estonian + - tl - filipino + - fi - finnish + - fr - french + - fy - frisian + - gl - galician + - ka - georgian + - de - german + - el - greek + - gu - gujarati + - ht - haitian creole + - ha - hausa + - haw - hawaiian + - iw - hebrew + - hi - hindi + - hmn - hmong + - hu - hungarian + - is - icelandic + - ig - igbo + - id - indonesian + - ga - irish + - it - italian + - ja - japanese + - jw - javanese + - kn - kannada + - kk - kazakh + - km - khmer + - ko - korean + - ku - kurdish (kurmanji) + - ky - kyrgyz + - lo - lao + - la - latin + - lv - latvian + - lt - lithuanian + - lb - luxembourgish + - mk - macedonian + - mg - malagasy + - ms - malay + - ml - malayalam + - mt - maltese + - mi - maori + - mr - marathi + - mn - mongolian + - my - myanmar (burmese) + - ne - nepali + - no - norwegian + - ps - pashto + - fa - persian + - pl - polish + - pt - portuguese + - pa - punjabi + - ro - romanian + - ru - russian + - sm - samoan + - gd - scots gaelic + - sr - serbian + - st - sesotho + - sn - shona + - sd - sindhi + - si - sinhala + - sk - slovak + - sl - slovenian + - so - somali + - es - spanish + - su - sundanese + - sw - swahili + - sv - swedish + - tg - tajik + - ta - tamil + - te - telugu + - th - thai + - tr - turkish + - uk - ukrainian + - ur - urdu + - uz - uzbek + - vi - vietnamese + - cy - welsh + - xh - xhosa + - yi - yiddish + - yo - yoruba + - zu - zulu + - fil - Filipino + - he - Hebrew x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/google_translate.pdf version: '0.1.0' From f194b0e3bd94eff13e51c85ab8bc490175ee0650 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 10 Mar 2022 12:39:13 +0530 Subject: [PATCH 3733/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index d34271177..fdca6451d 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.2.0" - description: "Published Date - Feb 25, 2022" + description: "Published Date - Mar 10, 2022" paths: /microservices/voice/asr/v2/getpredictions: post: @@ -284,7 +284,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 25, 2022 + example: Published Date - Mar 10, 2022 x-details: Input parameter srt removed,output parameter seqNum changed to sequence description: Latest Version v1.2.0: From c5c15b050a651c3c514bbe8d07a6c3fa0210a3c7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 11 Mar 2022 16:16:56 +0530 Subject: [PATCH 3734/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index 56a763467..f07c01fba 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -4,7 +4,6 @@ info: description: |+ This microservice takes in the input as file and translates the text and return the output as file. - Supports the following file formats: .pdf, .txt, .docx - For pdf and txt files, we suggest breaking them up into batches and making multiple calls to this microservice for more effective. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: From 18c5bb8aa99c4bacb08c774e19a1f4854b8eb620 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 11 Mar 2022 17:14:13 +0530 Subject: [PATCH 3735/5916] Update google_mt_largefile.yaml --- voice/google_mt_largefile.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/voice/google_mt_largefile.yaml b/voice/google_mt_largefile.yaml index a8ba73444..8266b8d94 100644 --- a/voice/google_mt_largefile.yaml +++ b/voice/google_mt_largefile.yaml @@ -4,7 +4,6 @@ info: description: |+ This microservice takes in the input as file and translates the text and return the output as file. - Supports the following file formats: .txt, .pdf, .docx, .doc - For pdf and txt files, we suggest breaking them up into batches and making multiple calls to this microservice for more effective. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html x-tutorial-pdf-doc: From 1c3d5bb18ddd33d956cec621f7f2be8ec0a82848 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 14 Mar 2022 10:43:21 +0800 Subject: [PATCH 3736/5916] thumbnail generation yaml edited --- computer_vision/thumbnail_generation.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index ad9d0e932..9ec1b8b36 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -235,6 +235,14 @@ components: example: mp4 description: |+ Type of video container. If not specified, the type of container is detected and processed. Accepted containers: 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' + + output_width: + x-name: output_width + type: number + default: False + example: 360 + description: |+ + Pixel width of thumbnail images. Value should be between 1 and 1920. securitySchemes: From c60661c6b4060882d892faaa8946358e0611aec6 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 14 Mar 2022 10:44:56 +0800 Subject: [PATCH 3737/5916] thumbnail generation yaml edited --- computer_vision/thumbnail_generation.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index 9ec1b8b36..ebffccec1 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -242,7 +242,7 @@ components: default: False example: 360 description: |+ - Pixel width of thumbnail images. Value should be between 1 and 1920. + Pixel width of thumbnail images. Value should be between 1 and 1920. Default value is 360. securitySchemes: From f7e745054a4b979030ce9c7c338767cba8a7c0cf Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 14 Mar 2022 18:02:27 +0800 Subject: [PATCH 3738/5916] thumbnail generation inp parameter default value changed --- computer_vision/thumbnail_generation.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index ebffccec1..0d3bbfd8a 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -224,7 +224,7 @@ components: x-name: output_thumbnails type: number default: False - example: 2 + example: 1 description: |+ Number of output thumbnail images. Between 1 and 20. Default value is 1. From 55077ea3df485c44e6f8405906a20bba334a9ce6 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 14 Mar 2022 19:37:01 +0800 Subject: [PATCH 3739/5916] added x details for thumbnail microservice --- computer_vision/thumbnail_generation.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index 0d3bbfd8a..251713353 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -205,6 +205,7 @@ components: oneOf: - type: string example: Published Date - Mar 22, 2022 + x-details: Initial Version description: Initial version release. input: type: object From dcf06dc1e0acd8444ad993b124f84ff89ff6a288 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Mar 2022 18:05:15 +0530 Subject: [PATCH 3740/5916] Add files via upload --- computer_vision/thumbnail_generation.yaml | 523 +++++++++++----------- 1 file changed, 268 insertions(+), 255 deletions(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index 251713353..cc9105243 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -1,255 +1,268 @@ - -openapi: 3.0.1 -info: - title: Thumbnail Generation - description: |+ - Generate thumbnail images from video. - version: v0.1.0 - x-additionalinfo: |+ - Video filetypes accepted are 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' - x-subscribelink: thumbnail_generation -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Mar 22, 2022" -paths: - /microservices/cv/thumbnailgeneration/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - encoded_images: - - UklGRkbiBABXQVZFZm10IBAAAAABA... - - UklGRkbiBABXQVZFZm10IBAAAAABA... - - UklGRkbiBABXQVZFZm10IBAAAAABA... - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - encoded_images: - description: List of thumbnail images in base64 string format - example: [UklGRkbiBABXQVZFZm10IBAAAAABA...,UklGRkbiBABXQVZFZm10IBAAAAABA...] - items: - description: Base64 string of Image - example: UklGRkbiBABXQVZFZm10IBAAAAABA... - type: string - type: array - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 22, 2022 - x-details: Initial Version - description: Initial version release. - input: - type: object - required: - - - video_base64 - - properties: - video_base64: - x-name: video_base64 - type: string - default: True - example: 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- description: |+ - Video content in base64 format. - output_thumbnails: - x-name: output_thumbnails - type: number - default: False - example: 1 - description: |+ - Number of output thumbnail images. Between 1 and 20. Default value is 1. - - file_type: - x-name: file_type - type: string - default: False - example: mp4 - description: |+ - Type of video container. If not specified, the type of container is detected and processed. Accepted containers: 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' - - output_width: - x-name: output_width - type: number - default: False - example: 360 - description: |+ - Pixel width of thumbnail images. Value should be between 1 and 1920. Default value is 360. - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Thumbnail Generation + description: |+ + Generate thumbnail images from video. + version: v0.1.0 + x-additionalinfo: |+ + Video filetypes accepted are 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' + x-subscribelink: thumbnail_generation + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10 MB/Call + x-inputfilelimit: |+ + Process up to 10 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Thumbnail Generation +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 22, 2022" +paths: + /microservices/cv/thumbnailgeneration/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + encoded_images: + - UklGRkbiBABXQVZFZm10IBAAAAABA... + - UklGRkbiBABXQVZFZm10IBAAAAABA... + - UklGRkbiBABXQVZFZm10IBAAAAABA... + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + encoded_images: + description: List of thumbnail images in base64 string format + example: [UklGRkbiBABXQVZFZm10IBAAAAABA...,UklGRkbiBABXQVZFZm10IBAAAAABA...] + items: + description: Base64 string of Image + example: UklGRkbiBABXQVZFZm10IBAAAAABA... + type: string + type: array + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 22, 2022 + x-details: Initial version release + description: Initial version release. + input: + type: object + required: + + - video_base64 + + properties: + video_base64: + x-name: video_base64 + type: string + default: True + example: 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+ description: |+ + Video content in base64 format. + output_thumbnails: + x-name: output_thumbnails + type: number + default: False + example: 1 + description: |+ + Number of output thumbnail images. Between 1 and 20. Default value is 1. + + file_type: + x-name: file_type + type: string + default: False + example: mp4 + description: |+ + Type of video container. If not specified, the type of container is detected and processed. Accepted containers: 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' + + output_width: + x-name: output_width + type: number + default: False + example: 360 + description: |+ + Pixel width of thumbnail images. Value should be between 1 and 1920. Default value is 360. + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 9213812437bb0f86ba12c09b4c0c15952b5fb748 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Tue, 15 Mar 2022 09:39:16 +0530 Subject: [PATCH 3741/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index a61f52350..a9c18efa8 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -111,6 +111,10 @@ paths: schema: $ref: '#/components/schemas/input' required: true + /microservices/voice/vadasr/v2/getpredictions: + post: + tags: + - v1.2.2 components: schemas: success: From 6ac325a5c8a7a5ec34028408ebe7242363eecf2e Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Tue, 15 Mar 2022 09:44:01 +0530 Subject: [PATCH 3742/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index a9c18efa8..6ffe017e0 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -30,6 +30,14 @@ tags: description: "Published Date - Feb 25, 2022" paths: /microservices/voice/vadasr/v2/getpredictions: + post: + tags: + - v1.2.2 + /microservices/voice/vadasr/v3/getpredictions: + post: + tags: + - v1.2.2 + /microservices/voice/vadasr/v4/getpredictions: post: tags: - v1.2.2 @@ -111,10 +119,6 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /microservices/voice/vadasr/v2/getpredictions: - post: - tags: - - v1.2.2 components: schemas: success: From a617eb0e9cba407580a239878e68cf1b5355f5db Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Tue, 15 Mar 2022 09:45:30 +0530 Subject: [PATCH 3743/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 8 -------- 1 file changed, 8 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 6ffe017e0..a61f52350 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -30,14 +30,6 @@ tags: description: "Published Date - Feb 25, 2022" paths: /microservices/voice/vadasr/v2/getpredictions: - post: - tags: - - v1.2.2 - /microservices/voice/vadasr/v3/getpredictions: - post: - tags: - - v1.2.2 - /microservices/voice/vadasr/v4/getpredictions: post: tags: - v1.2.2 From 279bbf48b9db9d5bab59e27a5c41f3755b8432dd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 15 Mar 2022 09:46:41 +0530 Subject: [PATCH 3744/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 5e26bbf5f..dbeb48c99 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -7,7 +7,7 @@ info: - Supports the following audio coding formats: WAV, MP3 For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/dev/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html * **Supported Languages:** | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | @@ -150,7 +150,7 @@ info: | Vietnamese (Vietnam) | vi-VN | No | Yes | No | No | | Zulu (South Africa) | zu-ZA | No | Yes | No | No | x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/google_asr.pdf + https://storage.googleapis.com/lpdocs/docs/google_asr_prod.pdf version: '0.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: large file @@ -170,7 +170,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 30, 2021" + description: "Published Date - Mar 15, 2022" paths: /async/microservices/voice/googleasr/v0/getuploadurl: description: |+ @@ -207,7 +207,7 @@ paths: 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 jid: e4ff367c93664fb9acfa40d9a4c6e43f request_cost: 0.3323 - url: 'https://storage.googleapis.com/user_space_dev/' + url: 'https://storage.googleapis.com/lp_user_space_prod/' status: Success '401': description: Unauthorized @@ -276,7 +276,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -465,7 +465,7 @@ components: description: Google algorithm url: type: string - example: https://storage.googleapis.com/user_space_dev/ + example: https://storage.googleapis.com/lp_user_space_prod/ description: Google algorithm status: type: string @@ -560,7 +560,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 30, 2021 + example: Published Date - Mar 11, 2022 x-details: Initial version release description: Latest Version input: From 8551fca1d4d3dcb751b1d287ad832ed31ab156d9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 10:00:11 +0530 Subject: [PATCH 3745/5916] Create re.yaml --- re/re.yaml | 818 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 818 insertions(+) create mode 100644 re/re.yaml diff --git a/re/re.yaml b/re/re.yaml new file mode 100644 index 000000000..86a247e3c --- /dev/null +++ b/re/re.yaml @@ -0,0 +1,818 @@ +openapi: 3.0.1 +info: + title: Recommendation Engine + description: |+ + Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. + version: '1.0.0' +servers: + - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' +tags: +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" +paths: + /readdevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine add event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readdeventsuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readdeventinput' + required: true + /readditem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine add item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readditemsuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readditeminput' + required: true + /redeleteevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine delete event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteeventsuccess' + example: + message: Successfully Deleted + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteeventinput' + required: true + /reitem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Get recommendation based on the item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reitemsuccess' + example: + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reiteminput' + required: true + + /reuser/v0/getresults: + post: + tags: + - v1.0.0 + description: + Get recommendation based on the user + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reusersuccess' + example: + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reuserinput' + required: true + /retrainengine/v0/getresults: + post: + tags: + - v1.0.0 + description: + Train engine to get recommendations + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/retraineventsuccess' + example: + message: Training is Scheduled + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/retraineventinput' + required: true + /rebulkuploadevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Bulk upload of CSV file to add event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/rebulkuploadeventsuccess' + example: + message: Partially Added + status: Success + error_rows: [] + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/rebulkuploadeventinput' + required: true + /rebulkuploaditem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Bulk upload of CSV file to add item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/rebulkuploaditemsuccess' + example: + message: Partially Added + status: Success + error_rows: [] + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/rebulkuploaditeminput' + required: true +components: + schemas: + readdeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + readditemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + redeleteeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Deleted + status: + type: string + description: The status of the API call. + example: Success + rebulkuploadeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + rebulkuploaditemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + reitemsuccess: + type: object + properties: + result: + type: array + description: The result of the API call. + example: UR input processed + items: + type: object + properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca + item: + type: string + description: The result of the API call. + example: Page 30 + score: + type: string + description: The result of the API call. + example: 2.48592472076416 + properties: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + reusersuccess: + type: object + properties: + result: + type: array + description: The result of the API call. + example: UR input processed + items: + type: object + properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca + item: + type: string + description: The result of the API call. + example: Page 30 + score: + type: string + description: The result of the API call. + example: 2.48592472076416 + properties: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + retraineventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Training is Scheduled + status: + type: string + description: The status of the API call. + example: Success + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + rebulkuploadeventinput: + type: object + required: + - file + - engine_name + - event + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + rebulkuploaditeminput: + type: object + required: + - file + - engine_name + - properties + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + properties: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: ["pagetile","description","pageurl"] + retraineventinput: + type: object + required: + - engine_name + - item + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + reiteminput: + type: object + required: + - engine_name + - item + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + It contains the unique item identifier + item_bias: + type: string + default: true + example: Page 15 + description: |+ + This tells the recommender to return items similar to this the item specified. + item_set: + type: string + default: true + example: [] + description: |+ + It contains a list of unique item identifiers + item_set_bias: + type: string + default: true + example: + description: |+ + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] + description: |+ + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + reuserinput: + type: object + required: + - engine_name + - user + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + user: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + user_bias: + type: string + default: true + example: User 10 + description: |+ + This tells the recommender to return recommendations based on the user's event history + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] + description: |+ + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + redeleteeventinput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readditeminput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + properties: + type: object + properties: + pagetitle: + type: string + example: [Page title] + pageurl: + type: string + example: [Page url] + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readdeventinput: + type: object + required: + - engine_name + - event + - user + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + user: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From d4d989d13bea2ab8335eb8669b01398ff9a9ba1d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 15 Mar 2022 10:05:50 +0530 Subject: [PATCH 3746/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index dbeb48c99..707329b24 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -152,7 +152,7 @@ info: x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/google_asr_prod.pdf version: '0.1.0' - x-subscribelink: automatic_speech_recognition_chi + x-subscribelink: google_asr x-apitype: large file x-apitypedescription: |+ Asyncronous | Batch | 1GB/File. From 2f57491291a5b5c523c907a2ebad441dd8275e7d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 10:06:53 +0530 Subject: [PATCH 3747/5916] Create recommendation_engine.yaml --- nlp/recommendation_engine.yaml | 818 +++++++++++++++++++++++++++++++++ 1 file changed, 818 insertions(+) create mode 100644 nlp/recommendation_engine.yaml diff --git a/nlp/recommendation_engine.yaml b/nlp/recommendation_engine.yaml new file mode 100644 index 000000000..86a247e3c --- /dev/null +++ b/nlp/recommendation_engine.yaml @@ -0,0 +1,818 @@ +openapi: 3.0.1 +info: + title: Recommendation Engine + description: |+ + Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. + version: '1.0.0' +servers: + - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' +tags: +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" +paths: + /readdevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine add event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readdeventsuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readdeventinput' + required: true + /readditem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine add item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readditemsuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readditeminput' + required: true + /redeleteevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine delete event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteeventsuccess' + example: + message: Successfully Deleted + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteeventinput' + required: true + /reitem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Get recommendation based on the item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reitemsuccess' + example: + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reiteminput' + required: true + + /reuser/v0/getresults: + post: + tags: + - v1.0.0 + description: + Get recommendation based on the user + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reusersuccess' + example: + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reuserinput' + required: true + /retrainengine/v0/getresults: + post: + tags: + - v1.0.0 + description: + Train engine to get recommendations + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/retraineventsuccess' + example: + message: Training is Scheduled + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/retraineventinput' + required: true + /rebulkuploadevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Bulk upload of CSV file to add event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/rebulkuploadeventsuccess' + example: + message: Partially Added + status: Success + error_rows: [] + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/rebulkuploadeventinput' + required: true + /rebulkuploaditem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Bulk upload of CSV file to add item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/rebulkuploaditemsuccess' + example: + message: Partially Added + status: Success + error_rows: [] + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/rebulkuploaditeminput' + required: true +components: + schemas: + readdeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + readditemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + redeleteeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Deleted + status: + type: string + description: The status of the API call. + example: Success + rebulkuploadeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + rebulkuploaditemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + reitemsuccess: + type: object + properties: + result: + type: array + description: The result of the API call. + example: UR input processed + items: + type: object + properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca + item: + type: string + description: The result of the API call. + example: Page 30 + score: + type: string + description: The result of the API call. + example: 2.48592472076416 + properties: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + reusersuccess: + type: object + properties: + result: + type: array + description: The result of the API call. + example: UR input processed + items: + type: object + properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca + item: + type: string + description: The result of the API call. + example: Page 30 + score: + type: string + description: The result of the API call. + example: 2.48592472076416 + properties: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + retraineventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Training is Scheduled + status: + type: string + description: The status of the API call. + example: Success + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + rebulkuploadeventinput: + type: object + required: + - file + - engine_name + - event + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + rebulkuploaditeminput: + type: object + required: + - file + - engine_name + - properties + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + properties: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: ["pagetile","description","pageurl"] + retraineventinput: + type: object + required: + - engine_name + - item + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + reiteminput: + type: object + required: + - engine_name + - item + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + It contains the unique item identifier + item_bias: + type: string + default: true + example: Page 15 + description: |+ + This tells the recommender to return items similar to this the item specified. + item_set: + type: string + default: true + example: [] + description: |+ + It contains a list of unique item identifiers + item_set_bias: + type: string + default: true + example: + description: |+ + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] + description: |+ + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + reuserinput: + type: object + required: + - engine_name + - user + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + user: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + user_bias: + type: string + default: true + example: User 10 + description: |+ + This tells the recommender to return recommendations based on the user's event history + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] + description: |+ + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + redeleteeventinput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readditeminput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + properties: + type: object + properties: + pagetitle: + type: string + example: [Page title] + pageurl: + type: string + example: [Page url] + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readdeventinput: + type: object + required: + - engine_name + - event + - user + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + user: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 6591fb895661f0e8412583256d2ac0ba463fc499 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 10:57:56 +0530 Subject: [PATCH 3748/5916] Delete re directory --- re/re.yaml | 818 ----------------------------------------------------- 1 file changed, 818 deletions(-) delete mode 100644 re/re.yaml diff --git a/re/re.yaml b/re/re.yaml deleted file mode 100644 index 86a247e3c..000000000 --- a/re/re.yaml +++ /dev/null @@ -1,818 +0,0 @@ -openapi: 3.0.1 -info: - title: Recommendation Engine - description: |+ - Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. - version: '1.0.0' -servers: - - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' -tags: -- name: "v1.0.0" - description: "Published Date - Oct 30, 2020" -paths: - /readdevent/v0/getresults: - post: - tags: - - v1.0.0 - description: - Recommendation engine add event - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/readdeventsuccess' - example: - message: Successfully Added - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/readdeventinput' - required: true - /readditem/v0/getresults: - post: - tags: - - v1.0.0 - description: - Recommendation engine add item - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/readditemsuccess' - example: - message: Successfully Added - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/readditeminput' - required: true - /redeleteevent/v0/getresults: - post: - tags: - - v1.0.0 - description: - Recommendation engine delete event - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/redeleteeventsuccess' - example: - message: Successfully Deleted - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/redeleteeventinput' - required: true - /reitem/v0/getresults: - post: - tags: - - v1.0.0 - description: - Get recommendation based on the item - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/reitemsuccess' - example: - re_id: efe8d908-9472-11ec-8d59-66e65c6117ca - item: Page 24 - score: 1.3801217079162598 - properties: - - pageurl: - - www.page24.com - description: - - Page 24 description - pagetitle: - - Page 24 Title - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/reiteminput' - required: true - - /reuser/v0/getresults: - post: - tags: - - v1.0.0 - description: - Get recommendation based on the user - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/reusersuccess' - example: - re_id: efe8d908-9472-11ec-8d59-66e65c6117ca - item: Page 24 - score: 1.3801217079162598 - properties: - - pageurl: - - www.page24.com - description: - - Page 24 description - pagetitle: - - Page 24 Title - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/reuserinput' - required: true - /retrainengine/v0/getresults: - post: - tags: - - v1.0.0 - description: - Train engine to get recommendations - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/retraineventsuccess' - example: - message: Training is Scheduled - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/retraineventinput' - required: true - /rebulkuploadevent/v0/getresults: - post: - tags: - - v1.0.0 - description: - Bulk upload of CSV file to add event - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/rebulkuploadeventsuccess' - example: - message: Partially Added - status: Success - error_rows: [] - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/rebulkuploadeventinput' - required: true - /rebulkuploaditem/v0/getresults: - post: - tags: - - v1.0.0 - description: - Bulk upload of CSV file to add item - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/rebulkuploaditemsuccess' - example: - message: Partially Added - status: Success - error_rows: [] - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/rebulkuploaditeminput' - required: true -components: - schemas: - readdeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Added - status: - type: string - description: The status of the API call. - example: Success - readditemsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Added - status: - type: string - description: The status of the API call. - example: Success - redeleteeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Deleted - status: - type: string - description: The status of the API call. - example: Success - rebulkuploadeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Partially Added - status: - type: string - description: The status of the API call. - example: Success - error_rows: - type: string - description: The status of the API call. - example: [] - rebulkuploaditemsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Partially Added - status: - type: string - description: The status of the API call. - example: Success - error_rows: - type: string - description: The status of the API call. - example: [] - reitemsuccess: - type: object - properties: - result: - type: array - description: The result of the API call. - example: UR input processed - items: - type: object - properties: - re_id: - type: string - description: The result of the API call. - example: efe8d908-9472-11ec-8d59-66e65c6117ca - item: - type: string - description: The result of the API call. - example: Page 30 - score: - type: string - description: The result of the API call. - example: 2.48592472076416 - properties: - type: array - description: The result of the API call. - example: List of objects - items: - type: object - properties: - pageurl: - type: string - description: The result of the API call. - example: ["www.page24.com","www.page25.com"] - description: - type: string - description: The result of the API call. - example: ["Page 24 description","Page 25 description"] - pagetitle: - type: string - description: The result of the API call. - example: ["Page 24 Title","Page 25 Title"] - reusersuccess: - type: object - properties: - result: - type: array - description: The result of the API call. - example: UR input processed - items: - type: object - properties: - re_id: - type: string - description: The result of the API call. - example: efe8d908-9472-11ec-8d59-66e65c6117ca - item: - type: string - description: The result of the API call. - example: Page 30 - score: - type: string - description: The result of the API call. - example: 2.48592472076416 - properties: - type: array - description: The result of the API call. - example: List of objects - items: - type: object - properties: - pageurl: - type: string - description: The result of the API call. - example: ["www.page24.com","www.page25.com"] - description: - type: string - description: The result of the API call. - example: ["Page 24 description","Page 25 description"] - pagetitle: - type: string - description: The result of the API call. - example: ["Page 24 Title","Page 25 Title"] - retraineventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Training is Scheduled - status: - type: string - description: The status of the API call. - example: Success - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - rebulkuploadeventinput: - type: object - required: - - file - - engine_name - - event - properties: - file: - type: string - format: binary - default: true - example: sample.wav - description: Maximum file size up to 10 MB. - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - event: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: pageurl - rebulkuploaditeminput: - type: object - required: - - file - - engine_name - - properties - properties: - file: - type: string - format: binary - default: true - example: sample.wav - description: Maximum file size up to 10 MB. - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - properties: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: ["pagetile","description","pageurl"] - retraineventinput: - type: object - required: - - engine_name - - item - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - reiteminput: - type: object - required: - - engine_name - - item - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - item: - type: string - default: true - example: Page 15 - description: |+ - It contains the unique item identifier - item_bias: - type: string - default: true - example: Page 15 - description: |+ - This tells the recommender to return items similar to this the item specified. - item_set: - type: string - default: true - example: [] - description: |+ - It contains a list of unique item identifiers - item_set_bias: - type: string - default: true - example: - description: |+ - offset: - type: string - example: 0 - description: |+ - Rank/position to start returning recommendations from - limit: - type: string - example: 4 - description: |+ - Max number of recommendations to return - rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. - date_range: - type: string - example: {} - description: |+ - Values for the before and after are strings in ISO 8601 format. - blacklist_items: - type: string - example: [] - description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. - return_self: - type: string - example: false - description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. - reuserinput: - type: object - required: - - engine_name - - user - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - user: - type: string - default: true - example: User 10 - description: |+ - This is whatever string you use to identify a user. - user_bias: - type: string - default: true - example: User 10 - description: |+ - This tells the recommender to return recommendations based on the user's event history - offset: - type: string - example: 0 - description: |+ - Rank/position to start returning recommendations from - limit: - type: string - example: 4 - description: |+ - Max number of recommendations to return - rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. - date_range: - type: string - example: {} - description: |+ - Values for the before and after are strings in ISO 8601 format. - blacklist_items: - type: string - example: [] - description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. - return_self: - type: string - example: false - description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. - redeleteeventinput: - type: object - required: - - engine_name - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - readditeminput: - type: object - required: - - engine_name - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - properties: - type: object - properties: - pagetitle: - type: string - example: [Page title] - pageurl: - type: string - example: [Page url] - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - readdeventinput: - type: object - required: - - engine_name - - event - - user - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - event: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: pageurl - user: - type: string - default: true - example: User 10 - description: |+ - This is whatever string you use to identify a user. - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From adf8ce37cca48c7caa95bc79645ad1fd4cb3fafe Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 11:03:08 +0530 Subject: [PATCH 3749/5916] Create recommendation_engine.yaml --- data analytics/recommendation_engine.yaml | 818 ++++++++++++++++++++++ 1 file changed, 818 insertions(+) create mode 100644 data analytics/recommendation_engine.yaml diff --git a/data analytics/recommendation_engine.yaml b/data analytics/recommendation_engine.yaml new file mode 100644 index 000000000..86a247e3c --- /dev/null +++ b/data analytics/recommendation_engine.yaml @@ -0,0 +1,818 @@ +openapi: 3.0.1 +info: + title: Recommendation Engine + description: |+ + Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. + version: '1.0.0' +servers: + - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' +tags: +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" +paths: + /readdevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine add event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readdeventsuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readdeventinput' + required: true + /readditem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine add item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readditemsuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readditeminput' + required: true + /redeleteevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine delete event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteeventsuccess' + example: + message: Successfully Deleted + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteeventinput' + required: true + /reitem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Get recommendation based on the item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reitemsuccess' + example: + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reiteminput' + required: true + + /reuser/v0/getresults: + post: + tags: + - v1.0.0 + description: + Get recommendation based on the user + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reusersuccess' + example: + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reuserinput' + required: true + /retrainengine/v0/getresults: + post: + tags: + - v1.0.0 + description: + Train engine to get recommendations + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/retraineventsuccess' + example: + message: Training is Scheduled + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/retraineventinput' + required: true + /rebulkuploadevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Bulk upload of CSV file to add event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/rebulkuploadeventsuccess' + example: + message: Partially Added + status: Success + error_rows: [] + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/rebulkuploadeventinput' + required: true + /rebulkuploaditem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Bulk upload of CSV file to add item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/rebulkuploaditemsuccess' + example: + message: Partially Added + status: Success + error_rows: [] + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/rebulkuploaditeminput' + required: true +components: + schemas: + readdeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + readditemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + redeleteeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Deleted + status: + type: string + description: The status of the API call. + example: Success + rebulkuploadeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + rebulkuploaditemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + reitemsuccess: + type: object + properties: + result: + type: array + description: The result of the API call. + example: UR input processed + items: + type: object + properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca + item: + type: string + description: The result of the API call. + example: Page 30 + score: + type: string + description: The result of the API call. + example: 2.48592472076416 + properties: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + reusersuccess: + type: object + properties: + result: + type: array + description: The result of the API call. + example: UR input processed + items: + type: object + properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca + item: + type: string + description: The result of the API call. + example: Page 30 + score: + type: string + description: The result of the API call. + example: 2.48592472076416 + properties: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + retraineventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Training is Scheduled + status: + type: string + description: The status of the API call. + example: Success + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + rebulkuploadeventinput: + type: object + required: + - file + - engine_name + - event + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + rebulkuploaditeminput: + type: object + required: + - file + - engine_name + - properties + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + properties: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: ["pagetile","description","pageurl"] + retraineventinput: + type: object + required: + - engine_name + - item + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + reiteminput: + type: object + required: + - engine_name + - item + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + It contains the unique item identifier + item_bias: + type: string + default: true + example: Page 15 + description: |+ + This tells the recommender to return items similar to this the item specified. + item_set: + type: string + default: true + example: [] + description: |+ + It contains a list of unique item identifiers + item_set_bias: + type: string + default: true + example: + description: |+ + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] + description: |+ + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + reuserinput: + type: object + required: + - engine_name + - user + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + user: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + user_bias: + type: string + default: true + example: User 10 + description: |+ + This tells the recommender to return recommendations based on the user's event history + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] + description: |+ + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + redeleteeventinput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readditeminput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + properties: + type: object + properties: + pagetitle: + type: string + example: [Page title] + pageurl: + type: string + example: [Page url] + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readdeventinput: + type: object + required: + - engine_name + - event + - user + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + user: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From e8c2366b631fc62409de73cdd0a651afc7221c4d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 11:04:17 +0530 Subject: [PATCH 3750/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 77399190a..202a8d63a 100644 --- a/index.yaml +++ b/index.yaml @@ -171,11 +171,11 @@ nlp: title: Google Translate (Large File) versions: 0.1.0: 'google_translate_large_file.yaml' -recommendation engine: +data analytics: engine: title: Recommendation Engine versions: - 0.1.0: 'engine.yaml' + 0.1.0: 'recommendation_engine.yaml' computer vision: object_detection: title: Object Detection From 7c2da465bc1487c8f983af8da6bc7321df7e0008 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 11:04:33 +0530 Subject: [PATCH 3751/5916] Delete recommendation_engine directory --- recommendation_engine/engine.yaml | 802 ------------------------------ 1 file changed, 802 deletions(-) delete mode 100644 recommendation_engine/engine.yaml diff --git a/recommendation_engine/engine.yaml b/recommendation_engine/engine.yaml deleted file mode 100644 index 550a579ff..000000000 --- a/recommendation_engine/engine.yaml +++ /dev/null @@ -1,802 +0,0 @@ -openapi: 3.0.1 -info: - title: Recommendation Engine - description: |+ - Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. - version: '1.0.0' -servers: - - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' -tags: -- name: "v1.0.0" - description: "Published Date - Oct 30, 2020" -paths: - /readdevent/v0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/readdeventsuccess' - example: - message: Successfully Added - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/readdeventinput' - required: true - /readditem/v0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/readditemsuccess' - example: - message: Successfully Added - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/readditeminput' - required: true - /redeleteevent/v0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/redeleteeventsuccess' - example: - message: Successfully Deleted - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/redeleteeventinput' - required: true - /reitem/v0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/reitemsuccess' - example: - re_id: efe8d908-9472-11ec-8d59-66e65c6117ca - item: Page 24 - score: 1.3801217079162598 - properties: - - pageurl: - - www.page24.com - description: - - Page 24 description - pagetitle: - - Page 24 Title - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/reiteminput' - required: true - - /reuser/v0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/reusersuccess' - example: - re_id: efe8d908-9472-11ec-8d59-66e65c6117ca - item: Page 24 - score: 1.3801217079162598 - properties: - - pageurl: - - www.page24.com - description: - - Page 24 description - pagetitle: - - Page 24 Title - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/reuserinput' - required: true - /retrainengine/v0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/retraineventsuccess' - example: - message: Training is Scheduled - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/retraineventinput' - required: true - /rebulkuploadevent/v0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/rebulkuploadeventsuccess' - example: - message: Partially Added - status: Success - error_rows: [] - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/rebulkuploadeventinput' - required: true - /rebulkuploaditem/v0/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/rebulkuploaditemsuccess' - example: - message: Partially Added - status: Success - error_rows: [] - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/rebulkuploaditeminput' - required: true -components: - schemas: - readdeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Added - status: - type: string - description: The status of the API call. - example: Success - readditemsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Added - status: - type: string - description: The status of the API call. - example: Success - redeleteeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Deleted - status: - type: string - description: The status of the API call. - example: Success - rebulkuploadeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Partially Added - status: - type: string - description: The status of the API call. - example: Success - error_rows: - type: string - description: The status of the API call. - example: [] - rebulkuploaditemsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Partially Added - status: - type: string - description: The status of the API call. - example: Success - error_rows: - type: string - description: The status of the API call. - example: [] - reitemsuccess: - type: object - properties: - result: - type: array - description: The result of the API call. - example: UR input processed - items: - type: object - properties: - re_id: - type: string - description: The result of the API call. - example: efe8d908-9472-11ec-8d59-66e65c6117ca - item: - type: string - description: The result of the API call. - example: Page 30 - score: - type: string - description: The result of the API call. - example: 2.48592472076416 - properties: - type: array - description: The result of the API call. - example: List of objects - items: - type: object - properties: - pageurl: - type: string - description: The result of the API call. - example: ["www.page24.com","www.page25.com"] - description: - type: string - description: The result of the API call. - example: ["Page 24 description","Page 25 description"] - pagetitle: - type: string - description: The result of the API call. - example: ["Page 24 Title","Page 25 Title"] - reusersuccess: - type: object - properties: - result: - type: array - description: The result of the API call. - example: UR input processed - items: - type: object - properties: - re_id: - type: string - description: The result of the API call. - example: efe8d908-9472-11ec-8d59-66e65c6117ca - item: - type: string - description: The result of the API call. - example: Page 30 - score: - type: string - description: The result of the API call. - example: 2.48592472076416 - properties: - type: array - description: The result of the API call. - example: List of objects - items: - type: object - properties: - pageurl: - type: string - description: The result of the API call. - example: ["www.page24.com","www.page25.com"] - description: - type: string - description: The result of the API call. - example: ["Page 24 description","Page 25 description"] - pagetitle: - type: string - description: The result of the API call. - example: ["Page 24 Title","Page 25 Title"] - retraineventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Training is Scheduled - status: - type: string - description: The status of the API call. - example: Success - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - rebulkuploadeventinput: - type: object - required: - - file - - engine_name - - event - properties: - file: - type: string - format: binary - default: true - example: sample.wav - description: Maximum file size up to 10 MB. - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: ttap-on-pageurl - event: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: pageurl - rebulkuploaditeminput: - type: object - required: - - file - - engine_name - - properties - properties: - file: - type: string - format: binary - default: true - example: sample.wav - description: Maximum file size up to 10 MB. - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: ttap-on-pageurl - properties: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: ["pagetile","description","pageurl"] - retraineventinput: - type: object - required: - - engine_name - - item - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: ttap-on-pageurl - reiteminput: - type: object - required: - - engine_name - - item - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: ttap-on-pageurl - item: - type: string - default: true - example: Page 15 - description: |+ - It contains the unique item identifier - item_bias: - type: string - default: true - example: Page 15 - description: |+ - This tells the recommender to return items similar to this the item specified. - item_set: - type: string - default: true - example: [] - description: |+ - It contains a list of unique item identifiers - item_set_bias: - type: string - default: true - example: - description: |+ - offset: - type: string - example: 0 - description: |+ - Rank/position to start returning recommendations from - limit: - type: string - example: 4 - description: |+ - Max number of recommendations to return - rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. - date_range: - type: string - example: {} - description: |+ - Values for the before and after are strings in ISO 8601 format. - blacklist_items: - type: string - example: [] - description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. - return_self: - type: string - example: false - description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. - reuserinput: - type: object - required: - - engine_name - - user - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: ttap-on-pageurl - user: - type: string - default: true - example: User 10 - description: |+ - This is whatever string you use to identify a user. - user_bias: - type: string - default: true - example: User 10 - description: |+ - This tells the recommender to return recommendations based on the user's event history - offset: - type: string - example: 0 - description: |+ - Rank/position to start returning recommendations from - limit: - type: string - example: 4 - description: |+ - Max number of recommendations to return - rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. - date_range: - type: string - example: {} - description: |+ - Values for the before and after are strings in ISO 8601 format. - blacklist_items: - type: string - example: [] - description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. - return_self: - type: string - example: false - description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. - redeleteeventinput: - type: object - required: - - engine_name - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: ttap-on-pageurl - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - readditeminput: - type: object - required: - - engine_name - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: ttap-on-pageurl - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - properties: - type: object - properties: - pagetitle: - type: string - example: [Page title] - pageurl: - type: string - example: [Page url] - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - readdeventinput: - type: object - required: - - engine_name - - event - - user - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: ttap-on-pageurl - event: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: pageurl - user: - type: string - default: true - example: User 10 - description: |+ - This is whatever string you use to identify a user. - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 88ba14490e5201a73665594dd6cf9c7985c8e374 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 11:05:28 +0530 Subject: [PATCH 3752/5916] Delete data analytics directory --- data analytics/recommendation_engine.yaml | 818 ---------------------- 1 file changed, 818 deletions(-) delete mode 100644 data analytics/recommendation_engine.yaml diff --git a/data analytics/recommendation_engine.yaml b/data analytics/recommendation_engine.yaml deleted file mode 100644 index 86a247e3c..000000000 --- a/data analytics/recommendation_engine.yaml +++ /dev/null @@ -1,818 +0,0 @@ -openapi: 3.0.1 -info: - title: Recommendation Engine - description: |+ - Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. - version: '1.0.0' -servers: - - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' -tags: -- name: "v1.0.0" - description: "Published Date - Oct 30, 2020" -paths: - /readdevent/v0/getresults: - post: - tags: - - v1.0.0 - description: - Recommendation engine add event - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/readdeventsuccess' - example: - message: Successfully Added - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/readdeventinput' - required: true - /readditem/v0/getresults: - post: - tags: - - v1.0.0 - description: - Recommendation engine add item - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/readditemsuccess' - example: - message: Successfully Added - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/readditeminput' - required: true - /redeleteevent/v0/getresults: - post: - tags: - - v1.0.0 - description: - Recommendation engine delete event - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/redeleteeventsuccess' - example: - message: Successfully Deleted - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/redeleteeventinput' - required: true - /reitem/v0/getresults: - post: - tags: - - v1.0.0 - description: - Get recommendation based on the item - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/reitemsuccess' - example: - re_id: efe8d908-9472-11ec-8d59-66e65c6117ca - item: Page 24 - score: 1.3801217079162598 - properties: - - pageurl: - - www.page24.com - description: - - Page 24 description - pagetitle: - - Page 24 Title - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/reiteminput' - required: true - - /reuser/v0/getresults: - post: - tags: - - v1.0.0 - description: - Get recommendation based on the user - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/reusersuccess' - example: - re_id: efe8d908-9472-11ec-8d59-66e65c6117ca - item: Page 24 - score: 1.3801217079162598 - properties: - - pageurl: - - www.page24.com - description: - - Page 24 description - pagetitle: - - Page 24 Title - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/reuserinput' - required: true - /retrainengine/v0/getresults: - post: - tags: - - v1.0.0 - description: - Train engine to get recommendations - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/retraineventsuccess' - example: - message: Training is Scheduled - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/retraineventinput' - required: true - /rebulkuploadevent/v0/getresults: - post: - tags: - - v1.0.0 - description: - Bulk upload of CSV file to add event - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/rebulkuploadeventsuccess' - example: - message: Partially Added - status: Success - error_rows: [] - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/rebulkuploadeventinput' - required: true - /rebulkuploaditem/v0/getresults: - post: - tags: - - v1.0.0 - description: - Bulk upload of CSV file to add item - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/rebulkuploaditemsuccess' - example: - message: Partially Added - status: Success - error_rows: [] - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/rebulkuploaditeminput' - required: true -components: - schemas: - readdeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Added - status: - type: string - description: The status of the API call. - example: Success - readditemsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Added - status: - type: string - description: The status of the API call. - example: Success - redeleteeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Deleted - status: - type: string - description: The status of the API call. - example: Success - rebulkuploadeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Partially Added - status: - type: string - description: The status of the API call. - example: Success - error_rows: - type: string - description: The status of the API call. - example: [] - rebulkuploaditemsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Partially Added - status: - type: string - description: The status of the API call. - example: Success - error_rows: - type: string - description: The status of the API call. - example: [] - reitemsuccess: - type: object - properties: - result: - type: array - description: The result of the API call. - example: UR input processed - items: - type: object - properties: - re_id: - type: string - description: The result of the API call. - example: efe8d908-9472-11ec-8d59-66e65c6117ca - item: - type: string - description: The result of the API call. - example: Page 30 - score: - type: string - description: The result of the API call. - example: 2.48592472076416 - properties: - type: array - description: The result of the API call. - example: List of objects - items: - type: object - properties: - pageurl: - type: string - description: The result of the API call. - example: ["www.page24.com","www.page25.com"] - description: - type: string - description: The result of the API call. - example: ["Page 24 description","Page 25 description"] - pagetitle: - type: string - description: The result of the API call. - example: ["Page 24 Title","Page 25 Title"] - reusersuccess: - type: object - properties: - result: - type: array - description: The result of the API call. - example: UR input processed - items: - type: object - properties: - re_id: - type: string - description: The result of the API call. - example: efe8d908-9472-11ec-8d59-66e65c6117ca - item: - type: string - description: The result of the API call. - example: Page 30 - score: - type: string - description: The result of the API call. - example: 2.48592472076416 - properties: - type: array - description: The result of the API call. - example: List of objects - items: - type: object - properties: - pageurl: - type: string - description: The result of the API call. - example: ["www.page24.com","www.page25.com"] - description: - type: string - description: The result of the API call. - example: ["Page 24 description","Page 25 description"] - pagetitle: - type: string - description: The result of the API call. - example: ["Page 24 Title","Page 25 Title"] - retraineventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Training is Scheduled - status: - type: string - description: The status of the API call. - example: Success - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - rebulkuploadeventinput: - type: object - required: - - file - - engine_name - - event - properties: - file: - type: string - format: binary - default: true - example: sample.wav - description: Maximum file size up to 10 MB. - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - event: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: pageurl - rebulkuploaditeminput: - type: object - required: - - file - - engine_name - - properties - properties: - file: - type: string - format: binary - default: true - example: sample.wav - description: Maximum file size up to 10 MB. - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - properties: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: ["pagetile","description","pageurl"] - retraineventinput: - type: object - required: - - engine_name - - item - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - reiteminput: - type: object - required: - - engine_name - - item - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - item: - type: string - default: true - example: Page 15 - description: |+ - It contains the unique item identifier - item_bias: - type: string - default: true - example: Page 15 - description: |+ - This tells the recommender to return items similar to this the item specified. - item_set: - type: string - default: true - example: [] - description: |+ - It contains a list of unique item identifiers - item_set_bias: - type: string - default: true - example: - description: |+ - offset: - type: string - example: 0 - description: |+ - Rank/position to start returning recommendations from - limit: - type: string - example: 4 - description: |+ - Max number of recommendations to return - rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. - date_range: - type: string - example: {} - description: |+ - Values for the before and after are strings in ISO 8601 format. - blacklist_items: - type: string - example: [] - description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. - return_self: - type: string - example: false - description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. - reuserinput: - type: object - required: - - engine_name - - user - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - user: - type: string - default: true - example: User 10 - description: |+ - This is whatever string you use to identify a user. - user_bias: - type: string - default: true - example: User 10 - description: |+ - This tells the recommender to return recommendations based on the user's event history - offset: - type: string - example: 0 - description: |+ - Rank/position to start returning recommendations from - limit: - type: string - example: 4 - description: |+ - Max number of recommendations to return - rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. - date_range: - type: string - example: {} - description: |+ - Values for the before and after are strings in ISO 8601 format. - blacklist_items: - type: string - example: [] - description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. - return_self: - type: string - example: false - description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. - redeleteeventinput: - type: object - required: - - engine_name - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - readditeminput: - type: object - required: - - engine_name - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - properties: - type: object - properties: - pagetitle: - type: string - example: [Page title] - pageurl: - type: string - example: [Page url] - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - readdeventinput: - type: object - required: - - engine_name - - event - - user - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - event: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: pageurl - user: - type: string - default: true - example: User 10 - description: |+ - This is whatever string you use to identify a user. - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 83e1e5ed85453559baec213b98c421ac171ff07a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 11:05:54 +0530 Subject: [PATCH 3753/5916] Create recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 818 ++++++++++++++++++++++ 1 file changed, 818 insertions(+) create mode 100644 data_analytics/recommendation_engine.yaml diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml new file mode 100644 index 000000000..86a247e3c --- /dev/null +++ b/data_analytics/recommendation_engine.yaml @@ -0,0 +1,818 @@ +openapi: 3.0.1 +info: + title: Recommendation Engine + description: |+ + Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. + version: '1.0.0' +servers: + - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' +tags: +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" +paths: + /readdevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine add event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readdeventsuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readdeventinput' + required: true + /readditem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine add item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readditemsuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readditeminput' + required: true + /redeleteevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Recommendation engine delete event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteeventsuccess' + example: + message: Successfully Deleted + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteeventinput' + required: true + /reitem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Get recommendation based on the item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reitemsuccess' + example: + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reiteminput' + required: true + + /reuser/v0/getresults: + post: + tags: + - v1.0.0 + description: + Get recommendation based on the user + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reusersuccess' + example: + re_id: efe8d908-9472-11ec-8d59-66e65c6117ca + item: Page 24 + score: 1.3801217079162598 + properties: + - pageurl: + - www.page24.com + description: + - Page 24 description + pagetitle: + - Page 24 Title + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reuserinput' + required: true + /retrainengine/v0/getresults: + post: + tags: + - v1.0.0 + description: + Train engine to get recommendations + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/retraineventsuccess' + example: + message: Training is Scheduled + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/retraineventinput' + required: true + /rebulkuploadevent/v0/getresults: + post: + tags: + - v1.0.0 + description: + Bulk upload of CSV file to add event + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/rebulkuploadeventsuccess' + example: + message: Partially Added + status: Success + error_rows: [] + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/rebulkuploadeventinput' + required: true + /rebulkuploaditem/v0/getresults: + post: + tags: + - v1.0.0 + description: + Bulk upload of CSV file to add item + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/rebulkuploaditemsuccess' + example: + message: Partially Added + status: Success + error_rows: [] + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/rebulkuploaditeminput' + required: true +components: + schemas: + readdeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + readditemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Added + status: + type: string + description: The status of the API call. + example: Success + redeleteeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Deleted + status: + type: string + description: The status of the API call. + example: Success + rebulkuploadeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + rebulkuploaditemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Partially Added + status: + type: string + description: The status of the API call. + example: Success + error_rows: + type: string + description: The status of the API call. + example: [] + reitemsuccess: + type: object + properties: + result: + type: array + description: The result of the API call. + example: UR input processed + items: + type: object + properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca + item: + type: string + description: The result of the API call. + example: Page 30 + score: + type: string + description: The result of the API call. + example: 2.48592472076416 + properties: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + reusersuccess: + type: object + properties: + result: + type: array + description: The result of the API call. + example: UR input processed + items: + type: object + properties: + re_id: + type: string + description: The result of the API call. + example: efe8d908-9472-11ec-8d59-66e65c6117ca + item: + type: string + description: The result of the API call. + example: Page 30 + score: + type: string + description: The result of the API call. + example: 2.48592472076416 + properties: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + pageurl: + type: string + description: The result of the API call. + example: ["www.page24.com","www.page25.com"] + description: + type: string + description: The result of the API call. + example: ["Page 24 description","Page 25 description"] + pagetitle: + type: string + description: The result of the API call. + example: ["Page 24 Title","Page 25 Title"] + retraineventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Training is Scheduled + status: + type: string + description: The status of the API call. + example: Success + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + rebulkuploadeventinput: + type: object + required: + - file + - engine_name + - event + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + rebulkuploaditeminput: + type: object + required: + - file + - engine_name + - properties + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + properties: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: ["pagetile","description","pageurl"] + retraineventinput: + type: object + required: + - engine_name + - item + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + reiteminput: + type: object + required: + - engine_name + - item + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + It contains the unique item identifier + item_bias: + type: string + default: true + example: Page 15 + description: |+ + This tells the recommender to return items similar to this the item specified. + item_set: + type: string + default: true + example: [] + description: |+ + It contains a list of unique item identifiers + item_set_bias: + type: string + default: true + example: + description: |+ + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] + description: |+ + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + reuserinput: + type: object + required: + - engine_name + - user + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + user: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + user_bias: + type: string + default: true + example: User 10 + description: |+ + This tells the recommender to return recommendations based on the user's event history + offset: + type: string + example: 0 + description: |+ + Rank/position to start returning recommendations from + limit: + type: string + example: 4 + description: |+ + Max number of recommendations to return + rules: + type: string + example: [] + description: |+ + Array of fields values and biases to use in this query. + date_range: + type: string + example: {} + description: |+ + Values for the before and after are strings in ISO 8601 format. + blacklist_items: + type: string + example: [] + description: |+ + It specifies event types this part of the query specifies individual items to remove from returned recommendations. + return_self: + type: string + example: false + description: |+ + Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + redeleteeventinput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readditeminput: + type: object + required: + - engine_name + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + properties: + type: object + properties: + pagetitle: + type: string + example: [Page title] + pageurl: + type: string + example: [Page url] + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + readdeventinput: + type: object + required: + - engine_name + - event + - user + - item + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: + event: + type: string + default: true + description: |+ + The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + example: pageurl + user: + type: string + default: true + example: User 10 + description: |+ + This is whatever string you use to identify a user. + item: + type: string + default: true + example: Page 15 + description: |+ + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 20060d50a6dc547352cef24d842f20ce31c2727e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 11:08:23 +0530 Subject: [PATCH 3754/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 202a8d63a..afa14744b 100644 --- a/index.yaml +++ b/index.yaml @@ -172,7 +172,7 @@ nlp: versions: 0.1.0: 'google_translate_large_file.yaml' data analytics: - engine: + recommendation_engine: title: Recommendation Engine versions: 0.1.0: 'recommendation_engine.yaml' From f91a7205c4ccc1ccb5b79da3e874d40e43933e64 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 11:16:23 +0530 Subject: [PATCH 3755/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 86a247e3c..9e974baed 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -4,6 +4,20 @@ info: description: |+ Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. version: '1.0.0' + x-subscribelink: recommendation_engine + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + It's a type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm servers: - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' tags: From 21dd25b1302b1d549acbae86b9fb8ddf0568a48d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 11:18:06 +0530 Subject: [PATCH 3756/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 9e974baed..fd486ff40 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -541,8 +541,8 @@ components: items: oneOf: - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON + example: Published Date - March 30, 2022 + x-details: Initial version release description: Latest Version rebulkuploadeventinput: type: object From 72b89a8f9c0f973968f999b2102192919dfaf7e4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 11:18:48 +0530 Subject: [PATCH 3757/5916] Delete recommendation_engine.yaml --- nlp/recommendation_engine.yaml | 818 --------------------------------- 1 file changed, 818 deletions(-) delete mode 100644 nlp/recommendation_engine.yaml diff --git a/nlp/recommendation_engine.yaml b/nlp/recommendation_engine.yaml deleted file mode 100644 index 86a247e3c..000000000 --- a/nlp/recommendation_engine.yaml +++ /dev/null @@ -1,818 +0,0 @@ -openapi: 3.0.1 -info: - title: Recommendation Engine - description: |+ - Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. - version: '1.0.0' -servers: - - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' -tags: -- name: "v1.0.0" - description: "Published Date - Oct 30, 2020" -paths: - /readdevent/v0/getresults: - post: - tags: - - v1.0.0 - description: - Recommendation engine add event - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/readdeventsuccess' - example: - message: Successfully Added - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/readdeventinput' - required: true - /readditem/v0/getresults: - post: - tags: - - v1.0.0 - description: - Recommendation engine add item - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/readditemsuccess' - example: - message: Successfully Added - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/readditeminput' - required: true - /redeleteevent/v0/getresults: - post: - tags: - - v1.0.0 - description: - Recommendation engine delete event - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/redeleteeventsuccess' - example: - message: Successfully Deleted - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/redeleteeventinput' - required: true - /reitem/v0/getresults: - post: - tags: - - v1.0.0 - description: - Get recommendation based on the item - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/reitemsuccess' - example: - re_id: efe8d908-9472-11ec-8d59-66e65c6117ca - item: Page 24 - score: 1.3801217079162598 - properties: - - pageurl: - - www.page24.com - description: - - Page 24 description - pagetitle: - - Page 24 Title - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/reiteminput' - required: true - - /reuser/v0/getresults: - post: - tags: - - v1.0.0 - description: - Get recommendation based on the user - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/reusersuccess' - example: - re_id: efe8d908-9472-11ec-8d59-66e65c6117ca - item: Page 24 - score: 1.3801217079162598 - properties: - - pageurl: - - www.page24.com - description: - - Page 24 description - pagetitle: - - Page 24 Title - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/reuserinput' - required: true - /retrainengine/v0/getresults: - post: - tags: - - v1.0.0 - description: - Train engine to get recommendations - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/retraineventsuccess' - example: - message: Training is Scheduled - status: Success - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/retraineventinput' - required: true - /rebulkuploadevent/v0/getresults: - post: - tags: - - v1.0.0 - description: - Bulk upload of CSV file to add event - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/rebulkuploadeventsuccess' - example: - message: Partially Added - status: Success - error_rows: [] - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/rebulkuploadeventinput' - required: true - /rebulkuploaditem/v0/getresults: - post: - tags: - - v1.0.0 - description: - Bulk upload of CSV file to add item - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/rebulkuploaditemsuccess' - example: - message: Partially Added - status: Success - error_rows: [] - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/rebulkuploaditeminput' - required: true -components: - schemas: - readdeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Added - status: - type: string - description: The status of the API call. - example: Success - readditemsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Added - status: - type: string - description: The status of the API call. - example: Success - redeleteeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Successfully Deleted - status: - type: string - description: The status of the API call. - example: Success - rebulkuploadeventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Partially Added - status: - type: string - description: The status of the API call. - example: Success - error_rows: - type: string - description: The status of the API call. - example: [] - rebulkuploaditemsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Partially Added - status: - type: string - description: The status of the API call. - example: Success - error_rows: - type: string - description: The status of the API call. - example: [] - reitemsuccess: - type: object - properties: - result: - type: array - description: The result of the API call. - example: UR input processed - items: - type: object - properties: - re_id: - type: string - description: The result of the API call. - example: efe8d908-9472-11ec-8d59-66e65c6117ca - item: - type: string - description: The result of the API call. - example: Page 30 - score: - type: string - description: The result of the API call. - example: 2.48592472076416 - properties: - type: array - description: The result of the API call. - example: List of objects - items: - type: object - properties: - pageurl: - type: string - description: The result of the API call. - example: ["www.page24.com","www.page25.com"] - description: - type: string - description: The result of the API call. - example: ["Page 24 description","Page 25 description"] - pagetitle: - type: string - description: The result of the API call. - example: ["Page 24 Title","Page 25 Title"] - reusersuccess: - type: object - properties: - result: - type: array - description: The result of the API call. - example: UR input processed - items: - type: object - properties: - re_id: - type: string - description: The result of the API call. - example: efe8d908-9472-11ec-8d59-66e65c6117ca - item: - type: string - description: The result of the API call. - example: Page 30 - score: - type: string - description: The result of the API call. - example: 2.48592472076416 - properties: - type: array - description: The result of the API call. - example: List of objects - items: - type: object - properties: - pageurl: - type: string - description: The result of the API call. - example: ["www.page24.com","www.page25.com"] - description: - type: string - description: The result of the API call. - example: ["Page 24 description","Page 25 description"] - pagetitle: - type: string - description: The result of the API call. - example: ["Page 24 Title","Page 25 Title"] - retraineventsuccess: - type: object - properties: - message: - type: string - description: The message of the API call. - example: Training is Scheduled - status: - type: string - description: The status of the API call. - example: Success - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON - description: Latest Version - rebulkuploadeventinput: - type: object - required: - - file - - engine_name - - event - properties: - file: - type: string - format: binary - default: true - example: sample.wav - description: Maximum file size up to 10 MB. - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - event: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: pageurl - rebulkuploaditeminput: - type: object - required: - - file - - engine_name - - properties - properties: - file: - type: string - format: binary - default: true - example: sample.wav - description: Maximum file size up to 10 MB. - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - properties: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: ["pagetile","description","pageurl"] - retraineventinput: - type: object - required: - - engine_name - - item - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - reiteminput: - type: object - required: - - engine_name - - item - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - item: - type: string - default: true - example: Page 15 - description: |+ - It contains the unique item identifier - item_bias: - type: string - default: true - example: Page 15 - description: |+ - This tells the recommender to return items similar to this the item specified. - item_set: - type: string - default: true - example: [] - description: |+ - It contains a list of unique item identifiers - item_set_bias: - type: string - default: true - example: - description: |+ - offset: - type: string - example: 0 - description: |+ - Rank/position to start returning recommendations from - limit: - type: string - example: 4 - description: |+ - Max number of recommendations to return - rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. - date_range: - type: string - example: {} - description: |+ - Values for the before and after are strings in ISO 8601 format. - blacklist_items: - type: string - example: [] - description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. - return_self: - type: string - example: false - description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. - reuserinput: - type: object - required: - - engine_name - - user - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - user: - type: string - default: true - example: User 10 - description: |+ - This is whatever string you use to identify a user. - user_bias: - type: string - default: true - example: User 10 - description: |+ - This tells the recommender to return recommendations based on the user's event history - offset: - type: string - example: 0 - description: |+ - Rank/position to start returning recommendations from - limit: - type: string - example: 4 - description: |+ - Max number of recommendations to return - rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. - date_range: - type: string - example: {} - description: |+ - Values for the before and after are strings in ISO 8601 format. - blacklist_items: - type: string - example: [] - description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. - return_self: - type: string - example: false - description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. - redeleteeventinput: - type: object - required: - - engine_name - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - readditeminput: - type: object - required: - - engine_name - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - properties: - type: object - properties: - pagetitle: - type: string - example: [Page title] - pageurl: - type: string - example: [Page url] - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - readdeventinput: - type: object - required: - - engine_name - - event - - user - - item - - event_time - properties: - engine_name: - type: string - default: true - description: |+ - Recommendation engine name - example: - event: - type: string - default: true - description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. - example: pageurl - user: - type: string - default: true - example: User 10 - description: |+ - This is whatever string you use to identify a user. - item: - type: string - default: true - example: Page 15 - description: |+ - The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. - event_time: - type: string - default: true - example: "2022-01-19T21:02:49.228Z" - description: |+ - The ISO8601 formatted string for the time the event occurred. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From bf658747a94537487fa290ff6c5af5ce9e602bc3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 15 Mar 2022 13:13:30 +0530 Subject: [PATCH 3758/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 002789df6..a41f28887 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -454,6 +454,7 @@ components: additional_param: x-name: additional_param type: object + default: true properties: model: x-model: model From faf4d13bf8ba992dbfc010c259eb94c54baada79 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 15:16:50 +0530 Subject: [PATCH 3759/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index fd486ff40..f7b3f2710 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -29,7 +29,7 @@ paths: tags: - v1.0.0 description: - Recommendation engine add event + This API is used to add the event in recommendation engine responses: '200': description: Ok @@ -66,7 +66,7 @@ paths: tags: - v1.0.0 description: - Recommendation engine add item + This API is used to add the item and properties in recommendation engine responses: '200': description: Ok @@ -103,7 +103,7 @@ paths: tags: - v1.0.0 description: - Recommendation engine delete event + This API is used to delete the event in recommendation engine responses: '200': description: Ok @@ -140,7 +140,7 @@ paths: tags: - v1.0.0 description: - Get recommendation based on the item + This API is used to get recommendation based on the item responses: '200': description: Ok @@ -186,7 +186,7 @@ paths: tags: - v1.0.0 description: - Get recommendation based on the user + This API is used to get the recommendation based on the user responses: '200': description: Ok @@ -231,7 +231,7 @@ paths: tags: - v1.0.0 description: - Train engine to get recommendations + This API is used to train the recommendation engine responses: '200': description: Ok @@ -268,7 +268,7 @@ paths: tags: - v1.0.0 description: - Bulk upload of CSV file to add event + This API is used to bulk upload the event in recommendation engine responses: '200': description: Ok @@ -306,7 +306,7 @@ paths: tags: - v1.0.0 description: - Bulk upload of CSV file to add item + This API is used to bulk upload the item and properties in recommendation engine responses: '200': description: Ok From 459a8d5642a1e87168c03615bbf62cf0d99716a2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 16:23:39 +0530 Subject: [PATCH 3760/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index f7b3f2710..ff8b92212 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -4,6 +4,9 @@ info: description: |+ Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to improve visitor experience and optimize operations in retail, leisure, and other sectors by identifying the type of demogrpahic that frequents a certain place the most. It can also be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. x-subscribelink: recommendation_engine x-apitype: small file x-apitypedescription: |+ From 6238f60b73b9a1044329c2727f201c109e02e345 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 15 Mar 2022 18:47:48 +0530 Subject: [PATCH 3761/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index ff8b92212..34e1c3bf9 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -6,7 +6,7 @@ info: version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: - - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to improve visitor experience and optimize operations in retail, leisure, and other sectors by identifying the type of demogrpahic that frequents a certain place the most. It can also be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. + - This microservice can be used to add event and items to get recommendation. x-subscribelink: recommendation_engine x-apitype: small file x-apitypedescription: |+ From 50822881008f0a2bd1e0aa930013ec2542a75095 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 16 Mar 2022 13:24:43 +0800 Subject: [PATCH 3762/5916] inversenorm new yaml pushed --- index.yaml | 3 +- ... inverse_text_normalisation_eng_v1.0.yaml} | 0 nlp/inverse_text_normalisation_eng_v2.0.yaml | 263 ++++++++++++++++++ 3 files changed, 265 insertions(+), 1 deletion(-) rename nlp/{inverse_text_normalisation_eng.yaml => inverse_text_normalisation_eng_v1.0.yaml} (100%) create mode 100644 nlp/inverse_text_normalisation_eng_v2.0.yaml diff --git a/index.yaml b/index.yaml index afa14744b..aff4e1311 100644 --- a/index.yaml +++ b/index.yaml @@ -96,7 +96,8 @@ nlp: inverse_text_normalisation_eng: title: Inverse Text Normalisation ENG versions: - 1.0.0: 'inverse_text_normalisation_eng.yaml' + 2.0.0: 'inverse_text_normalisation_eng_v2.0.yaml' + 1.0.0: 'inverse_text_normalisation_eng_1.0.yaml' 0.1.0: 'inverse_text_normalisation_eng_v0.1.yaml' named-entity_recognition_eng: title: Named-Entity Recognition ENG diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng_v1.0.yaml similarity index 100% rename from nlp/inverse_text_normalisation_eng.yaml rename to nlp/inverse_text_normalisation_eng_v1.0.yaml diff --git a/nlp/inverse_text_normalisation_eng_v2.0.yaml b/nlp/inverse_text_normalisation_eng_v2.0.yaml new file mode 100644 index 000000000..6a2985c2e --- /dev/null +++ b/nlp/inverse_text_normalisation_eng_v2.0.yaml @@ -0,0 +1,263 @@ +openapi: 3.0.1 +info: + title: Inverse Text Normalisation ENG + description: |+ + This NLP microservice recovers the missing punctuations such as full stop, comma, exclamation mark, and question mark from the input text. + + It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. + + Do ensure that your text is within **5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. + x-subscribelink: inverse_text_normalisation_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Recovers Normalized text from input text. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - Mar 22, 2022" +paths: + /microservices/nlp/inversenorm/v2/getpredictions: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: "We are under attack. One senior US Navy seal and us will be going into Battlefield tomorrow." + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output : + x-name: output + type: string + example: We are under attack. One senior US Navy seal and us will be going into Battlefield tomorrow. + description: Corrected input text + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 22, 2022 + x-details: New Inverse norm using BERT + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: we are under attack one senior us navy seal and us will be going into battlefield tomorrow + description: |+ + Input text + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 6655386ad9cc01aba004411b18f569bbcc5f2926 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 16 Mar 2022 13:31:30 +0800 Subject: [PATCH 3763/5916] inversenorm new yaml pushed --- nlp/inverse_text_normalisation_eng_v2.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng_v2.0.yaml b/nlp/inverse_text_normalisation_eng_v2.0.yaml index 6a2985c2e..6a392dd1e 100644 --- a/nlp/inverse_text_normalisation_eng_v2.0.yaml +++ b/nlp/inverse_text_normalisation_eng_v2.0.yaml @@ -7,7 +7,7 @@ info: It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. Do ensure that your text is within **5000 characters**. - version: '1.0.0' + version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. From 22aad9312433bcabcdfdbfd8d3cdb2ccd9eebd0d Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 16 Mar 2022 13:44:16 +0800 Subject: [PATCH 3764/5916] inversenorm new yaml pushed --- nlp/inverse_text_normalisation_eng_v2.0.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng_v2.0.yaml b/nlp/inverse_text_normalisation_eng_v2.0.yaml index 6a392dd1e..350fae132 100644 --- a/nlp/inverse_text_normalisation_eng_v2.0.yaml +++ b/nlp/inverse_text_normalisation_eng_v2.0.yaml @@ -4,9 +4,9 @@ info: description: |+ This NLP microservice recovers the missing punctuations such as full stop, comma, exclamation mark, and question mark from the input text. - It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. + It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. - Do ensure that your text is within **5000 characters**. + The input text should be a maximum of 512 sub words. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From 8bd4c716f1d8b592e2103a44b18df671dc9f43ad Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Mar 2022 12:04:47 +0530 Subject: [PATCH 3765/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 222540a5d..a2e52403e 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Translate string based on language. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jan 27, 2022" From c05be0beb47fdb61911a8008ae3742cbc19198d6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Mar 2022 12:17:24 +0530 Subject: [PATCH 3766/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index f07c01fba..67e2d496c 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -8,7 +8,7 @@ info: Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/nlp/google_translate_large_file - - The file upload form https://sentient.io/upload/dev/form.html + - The file upload form https://sentient.io/upload/form.html **Supported languages are:** - af - afrikaans - sq - albanian @@ -117,7 +117,7 @@ info: - fil - Filipino - he - Hebrew x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/google_translate.pdf + https://storage.googleapis.com/lpdocs/docs/google_translate_prod.pdf version: '0.1.0' x-subscribelink: google_translate x-apitype: large file @@ -134,7 +134,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 08, 2022" @@ -170,7 +170,7 @@ paths: x-goog-signature: 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 jid: 4f2bac8ccf854358aab6b7045f59efac request_cost: 0.0842 - url: https://storage.googleapis.com/user_space_dev/ + url: https://storage.googleapis.com/lp_user_space_prod/ status: Success '401': description: Unauthorized @@ -239,7 +239,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 From c186225230dfe3e2aaf8293bca2c666b7bfd3a10 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 16 Mar 2022 18:12:39 +0800 Subject: [PATCH 3767/5916] Thumbnail generation yaml description updated --- computer_vision/thumbnail_generation.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index cc9105243..414a77d8b 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -3,7 +3,8 @@ openapi: 3.0.1 info: title: Thumbnail Generation description: |+ - Generate thumbnail images from video. + This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video. Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis. + The size of your video file should not exceed 10MB version: v0.1.0 x-additionalinfo: |+ Video filetypes accepted are 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' From 980bbe7522d179a77af8272f28ef7f95b885a371 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Mar 2022 15:44:10 +0530 Subject: [PATCH 3768/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 16 ++++------------ 1 file changed, 4 insertions(+), 12 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index a61f52350..c842cf6dc 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -27,9 +27,9 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.2.2" - description: "Published Date - Feb 25, 2022" + description: "Depreciation Date - May 31, 2022" paths: - /microservices/voice/vadasr/v2/getpredictions: + /microservices/voice/vadasr/v1/getpredictions: post: tags: - v1.2.2 @@ -278,15 +278,7 @@ components: Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. versions: type: object - properties: - v1.2.2: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Jan 28, 2022' - x-details: Introduced optional parameter vad - description: Latest Version + properties: v1.2.1: type: array items: @@ -294,7 +286,7 @@ components: - type: string example: 'Published Date - Nov 09, 2021' x-details: Vad bug fix - description: Archived + description: End-of-life by May 31,2022 v1.2.0: type: array items: From d02579373612f1f04b8b25bbae79c49a186796b1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Mar 2022 15:45:18 +0530 Subject: [PATCH 3769/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index 231233f60..c97e12f5a 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -30,7 +30,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 30, 2021" + description: "Depreciation Date - May 31, 2022" paths: /async/microservices/voice/vadasr/v0/getuploadurl: description: |+ From b75d6fdb6473fc635377e820771795e2671d7135 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 16 Mar 2022 18:50:00 +0800 Subject: [PATCH 3770/5916] inversenorm input default value changed --- nlp/inverse_text_normalisation_eng_v2.0.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng_v2.0.yaml b/nlp/inverse_text_normalisation_eng_v2.0.yaml index 350fae132..95209211b 100644 --- a/nlp/inverse_text_normalisation_eng_v2.0.yaml +++ b/nlp/inverse_text_normalisation_eng_v2.0.yaml @@ -44,7 +44,7 @@ paths: $ref: '#/components/schemas/success' example: results: - output: "We are under attack. One senior US Navy seal and us will be going into Battlefield tomorrow." + output: "Apple said the project-financing fund was the first of its kind. Real estate developers often secure bonds for affordable housing development, but must service the debt during construction until the houses are built and start to generate revenue. Apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders." message: Successfully Processed status: Success '401': @@ -122,7 +122,7 @@ components: output : x-name: output type: string - example: We are under attack. One senior US Navy seal and us will be going into Battlefield tomorrow. + example: Apple said the project-financing fund was the first of its kind. Real estate developers often secure bonds for affordable housing development, but must service the debt during construction until the houses are built and start to generate revenue. Apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders. description: Corrected input text message: type: string @@ -251,7 +251,7 @@ components: x-name: text type: string default: True - example: we are under attack one senior us navy seal and us will be going into battlefield tomorrow + example: apple said the project-financing fund was the first of its kind real estate developers often secure bonds for affordable housing development but must service the debt during construction until the houses are built and start to generate revenue apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders description: |+ Input text securitySchemes: From 6e13fe5cf12f06041ab0477561c03bf883e3c94e Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 16 Mar 2022 18:54:28 +0800 Subject: [PATCH 3771/5916] index.yaml edited --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index aff4e1311..2a06e529b 100644 --- a/index.yaml +++ b/index.yaml @@ -97,7 +97,7 @@ nlp: title: Inverse Text Normalisation ENG versions: 2.0.0: 'inverse_text_normalisation_eng_v2.0.yaml' - 1.0.0: 'inverse_text_normalisation_eng_1.0.yaml' + 1.0.0: 'inverse_text_normalisation_eng_v1.0.yaml' 0.1.0: 'inverse_text_normalisation_eng_v0.1.yaml' named-entity_recognition_eng: title: Named-Entity Recognition ENG From 508de96070c88f99e710f98c5611ea2d8d0e1ed5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 18 Mar 2022 10:51:23 +0530 Subject: [PATCH 3772/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 118 ++++++++++++++++------ 1 file changed, 87 insertions(+), 31 deletions(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 34e1c3bf9..66d00f6fa 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -565,7 +565,7 @@ components: default: true description: |+ Recommendation engine name - example: + example: sentient engine event: type: string default: true @@ -590,7 +590,7 @@ components: default: true description: |+ Recommendation engine name - example: + example: sentient engine properties: type: string default: true @@ -601,14 +601,13 @@ components: type: object required: - engine_name - - item properties: engine_name: type: string default: true description: |+ Recommendation engine name - example: + example: sentient engine reiteminput: type: object required: @@ -620,30 +619,31 @@ components: default: true description: |+ Recommendation engine name - example: + example: sentient engine item: type: string default: true - example: Page 15 + example: item1 description: |+ - It contains the unique item identifier + Optional. It contains the unique item identifier item_bias: type: string default: true - example: Page 15 + example: itemId1, itemId2 description: |+ - This tells the recommender to return items similar to this the item specified. + Optional. This tells the recommender to return items similar to this the item specified. Use for "people who liked this also liked these". item_set: type: string default: true example: [] description: |+ - It contains a list of unique item identifiers + Optional. It contains a list of unique item identifiers item_set_bias: type: string default: true - example: + example: -maxFloat/maxFloat description: |+ + Optional. Mixing itemSet queries with user and item queries is not recommended and it is difficult to predict what it will return in the final mixed results. offset: type: string example: 0 @@ -655,18 +655,46 @@ components: description: |+ Max number of recommendations to return rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. + type: array + description: Array of fields values and biases to use in this query. + items: + type: object + properties: + name: + type: string + description: The "name" identifies the property name to match. + example: categories + values: + type: string + description: The "values" provide a list of values that the properties of the recommended items are matched against. + example: ["series", "mini-series"] + bias: + type: string + description: |+ + bias = -1: Include recommended items that match the rest of the Rule + bias = 0: Exclude recommended items that match the rest of the Rule + bias > 0: Boost recommended items that match the rest of the Rule by the bias value. + example: -1 date_range: - type: string - example: {} + type: object description: |+ Values for the before and after are strings in ISO 8601 format. + properties: + name: + type: string + description: The "name" identifies the property name to match. + example: dateFieldname + before: + type: string + description: The "name" identifies the property name to match. + example: 2015-09-15T11:28:45.114-07:00 + after: + type: string + description: The "name" identifies the property name to match. + example: 2015-08-15T11:28:45.114-07:00 blacklist_items: type: string - example: [] + example: ["itemId1", "itemId2"] description: |+ It specifies event types this part of the query specifies individual items to remove from returned recommendations. return_self: @@ -685,7 +713,7 @@ components: default: true description: |+ Recommendation engine name - example: + example: sentient engine user: type: string default: true @@ -695,9 +723,9 @@ components: user_bias: type: string default: true - example: User 10 + example: -maxFloat/maxFloat description: |+ - This tells the recommender to return recommendations based on the user's event history + Optional. The user may be anonymous as long as the id is unique from any authenticated user. This tells the recommender to return recommendations based on the user's event history. Used for personalized recommendations. offset: type: string example: 0 @@ -709,18 +737,46 @@ components: description: |+ Max number of recommendations to return rules: - type: string - example: [] - description: |+ - Array of fields values and biases to use in this query. + type: array + description: Array of fields values and biases to use in this query. + items: + type: object + properties: + name: + type: string + description: The "name" identifies the property name to match. + example: categories + values: + type: string + description: The "values" provide a list of values that the properties of the recommended items are matched against. + example: ["series", "mini-series"] + bias: + type: string + description: |+ + bias = -1: Include recommended items that match the rest of the Rule + bias = 0: Exclude recommended items that match the rest of the Rule + bias > 0: Boost recommended items that match the rest of the Rule by the bias value. + example: -1 date_range: - type: string - example: {} + type: object description: |+ Values for the before and after are strings in ISO 8601 format. + properties: + name: + type: string + description: The "name" identifies the property name to match. + example: dateFieldname + before: + type: string + description: The "name" identifies the property name to match. + example: 2015-09-15T11:28:45.114-07:00 + after: + type: string + description: The "name" identifies the property name to match. + example: 2015-08-15T11:28:45.114-07:00 blacklist_items: type: string - example: [] + example: ["itemId1", "itemId2"] description: |+ It specifies event types this part of the query specifies individual items to remove from returned recommendations. return_self: @@ -740,7 +796,7 @@ components: default: true description: |+ Recommendation engine name - example: + example: sentient engine item: type: string default: true @@ -765,7 +821,7 @@ components: default: true description: |+ Recommendation engine name - example: + example: sentient engine item: type: string default: true @@ -801,7 +857,7 @@ components: default: true description: |+ Recommendation engine name - example: + example: sentient engine event: type: string default: true From 3bbb57604e909795b53e10be0d2d7eda7f216049 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 18 Mar 2022 10:56:16 +0530 Subject: [PATCH 3773/5916] Create rule_engine.yaml --- data_analytics/rule_engine.yaml | 159 ++++++++++++++++++++++++++++++++ 1 file changed, 159 insertions(+) create mode 100644 data_analytics/rule_engine.yaml diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml new file mode 100644 index 000000000..4a48f6e5b --- /dev/null +++ b/data_analytics/rule_engine.yaml @@ -0,0 +1,159 @@ +openapi: 3.0.1 +info: + title: Rule Engine + description: |+ + It provides a core Business Rules Engine + version: '1.0.0' +servers: + - url: 'https://dev-apis.sentient.io/ruleengine/microservices/dataanalytics' +tags: +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" +paths: + /getsuggestion/v0/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/ruleenginesuccess' + example: + message: Successfully Processed + status: Success + results: + suggestion: Please begin by choosing Create/Modify Global parts on screen or Create/Modify + Global parts by download/upload master. Alternatively, you can request support + here[link to chatbot]. + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ruleengineinput' + required: true +components: + schemas: + ruleenginesuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Processed + status: + type: string + description: The status of the API call. + example: Success + results: + type: object + properties: + suggestion: + type: string + description: The message of the API call. + example: Please begin by choosing Create/Modify Global parts on screen or Create/Modify Global parts by download/upload master. Alternatively, you can request support here[link to chatbot]. + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON + description: Latest Version + ruleengineinput: + type: object + properties: + event_history: + type: object + properties: + page_url: + type: string + default: true + description: |+ + Page URL of getting suggestion + example: https://test.brivge.com/globalparts/create + time_interval: + type: string + default: true + description: |+ + Time interval of getting suggestion value will be greater than or equal to 60000 + example: 60000 + selected_mode: + type: string + description: |+ + Selected mode of getting suggestion + example: Create/Modify Global parts on screen + upload: + type: string + description: |+ + Upload of getting suggestion value will be greater than 0 + example: 1 + add_item: + type: string + description: |+ + Add Item of getting suggestion value will be greater than 0 + example: 1 + edit_item: + type: string + description: |+ + Edit item of getting suggestion value will be greater than 0 + example: 1 + first_prompt: + type: string + description: |+ + First prompt of getting suggestion value will be true/false + example: true/false From e455c3234b856487ff7c08d97fdff660a28d2e13 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 18 Mar 2022 10:57:06 +0530 Subject: [PATCH 3774/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index 2a06e529b..ae03de917 100644 --- a/index.yaml +++ b/index.yaml @@ -177,6 +177,10 @@ data analytics: title: Recommendation Engine versions: 0.1.0: 'recommendation_engine.yaml' + rule_engine: + title: Rule Engine + versions: + 0.1.0: 'rule_engine.yaml' computer vision: object_detection: title: Object Detection From cae9d4f494383b03e930cb419509bc65ed5390b7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 18 Mar 2022 11:00:25 +0530 Subject: [PATCH 3775/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 4a48f6e5b..3b0c4b292 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -4,6 +4,23 @@ info: description: |+ It provides a core Business Rules Engine version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - This microservice can be used to add event and items to get recommendation. + x-subscribelink: rule_engine + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + It's a type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm servers: - url: 'https://dev-apis.sentient.io/ruleengine/microservices/dataanalytics' tags: From 437f6a32b337a08de0621c8a05e3e40c08218a9d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 18 Mar 2022 12:51:42 +0530 Subject: [PATCH 3776/5916] Update automatic_speech_recognition_eng_large_file.yaml --- ...tic_speech_recognition_eng_large_file.yaml | 31 ++++++++++++------- 1 file changed, 19 insertions(+), 12 deletions(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index a41f28887..555e8ac5b 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -4,16 +4,15 @@ info: description: |+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. The input can be bypassed to asr without passing through vad by setting the optional paramater "vad" to false. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. version: '0.1.0' x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: - - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/voice/automatic_speech_recognition_eng - - The file upload form https://sentient.io/upload/dev/form.html + - Detailed reference to the additional parameters https://docs.sentient.io/#/voice/automatic_speech_recognition_eng + - The file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/asr.pdf + https://storage.googleapis.com/lpdocs/docs/asr_prod.pdf x-subscribelink: automatic_speech_recognition_eng x-apitype: large file x-apitypedescription: |+ @@ -29,10 +28,10 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Feb 28, 2022" + description: "Published Date - Mar 01, 2022" paths: /async/microservices/voice/asr/v0/getuploadurl: post: @@ -136,7 +135,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -420,7 +419,7 @@ components: items: oneOf: - type: string - example: Published Date - Feb 28, 2022 + example: Published Date - Mar 01, 2022 x-details: Initial version release description: Latest Version input: @@ -454,7 +453,6 @@ components: additional_param: x-name: additional_param type: object - default: true properties: model: x-model: model @@ -463,14 +461,13 @@ components: example: prepared_speech description: |+ Model selection. For best performance, select the model which best matches the use-case: - 1. generic - Large nnet3-chain factorized TDNN model, trained on ~1200 hours of audio. Generic English, 16KHz 2. prepared_speech - Better suited for transcribing prepared / formal speech (e.g. news or parliamentary speeches). 16 kHz, mono channel, .wav format. 3. telephony - Better suited for conversational speech or telephony use cases. 8 kHz, mono channel, .wav format. threshold: x-threshold: threshold type: number - example: 0.4 + example: 0.25 description: |+ 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. voice_activity_detection: @@ -515,10 +512,15 @@ components: default: false example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields x-goog-meta-additional_param: type: string default: false - example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4,\"voice_activity_detection\":\"false\"}" + example: "{\"model\": \"prepared_speech\", \"threshold\": 0.25,\"voice_activity_detection\":\"false\"}" description: Fields x-goog-meta-oid: type: string @@ -530,6 +532,11 @@ components: default: false example: 2 description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields x-goog-meta-uuid: type: string default: false From 9109331cdff3990bea00cecda39b57ece48e511d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 18 Mar 2022 16:02:52 +0530 Subject: [PATCH 3777/5916] Add files via upload --- computer_vision/thumbnail_generation.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index 414a77d8b..4395cb193 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -23,10 +23,10 @@ info: x-apidetailsdesc: |+ Thumbnail Generation servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Mar 22, 2022" + description: "Published Date - Mar 18, 2022" paths: /microservices/cv/thumbnailgeneration/v0/getpredictions: post: @@ -218,7 +218,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 22, 2022 + example: Published Date - Mar 18, 2022 x-details: Initial version release description: Initial version release. input: From 11e113e81019ebe928882653ae2974be21c00a76 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 10:24:45 +0530 Subject: [PATCH 3778/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 283 +++++++++++++++++++++++--------- 1 file changed, 207 insertions(+), 76 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 3b0c4b292..1a85e6d0b 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -1,13 +1,14 @@ openapi: 3.0.1 info: - title: Rule Engine + title: Demographics Classification description: |+ - It provides a core Business Rules Engine - version: '1.0.0' + This Computer Vision microservice identifies faces within an input image and predicts the demographics of each face (age, gender and race). The image is processed as an input encoded using base64. The results will then be returned back to the user as a JSON output together with bounding box coordinates for each face. Races include: Asian, Indian, White, Black, Middle Eastern and Latino Hispanic + The size of your image file should **not exceed 10 MB**, and the image dimension should be **at least 416x416 pixels**. x-additionalinfo: |+ Suggested Use Cases: - - This microservice can be used to add event and items to get recommendation. - x-subscribelink: rule_engine + - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to improve visitor experience and optimize operations in retail, leisure, and other sectors by identifying the type of demogrpahic that frequents a certain place the most. It can also be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. + version: v0.1.0 + x-subscribelink: demographics_classification x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -20,70 +21,184 @@ info: x-notes: |+ File size cannot exceed 10 MB. x-apidetailsdesc: |+ - It's a type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm + Identifies faces within an input image and predicts the demographics. servers: - - url: 'https://dev-apis.sentient.io/ruleengine/microservices/dataanalytics' + - url: 'https://apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - Oct 30, 2020" +- name: "v0.1.0" + description: "Published Date - Dec 09, 2020" paths: - /getsuggestion/v0/getresults: + /microservices/cv/democlass/v0/getpredictions: post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok content: application/json: schema: - $ref: '#/components/schemas/ruleenginesuccess' - example: + $ref: '#/components/schemas/success' + example: + results: + persons: + - age: 33.21062944528088 + bbox: + bottom: 459 + left: 82 + right: 393 + top: 0 + gender: Man + race: white + message: Successfully Processed status: Success - results: - suggestion: Please begin by choosing Create/Modify Global parts on screen or Create/Modify - Global parts by download/upload master. Alternatively, you can request support - here[link to chatbot]. + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' '419': description: Input Field Missing content: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' - + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '500': - description: Internal Server Error + description: Internal Server error content: application/json: schema: $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: content: application/json: schema: - $ref: '#/components/schemas/ruleengineinput' + $ref: '#/components/schemas/input' required: true + + components: schemas: - ruleenginesuccess: + success: type: object properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + persons: + description: Demographic details of the detected person + example: + age: 33.21062944528088 + bbox: + bottom: 459 + left: 82 + right: 393 + top: 0 + gender: Man + race: white + items: + properties: + description: Demographic details of the detected person + example: ' ' + properties: + age: + description: Age of the detected person in the input image + example: 33.21062944528088 + type: float + bbox: + description: Bounding box of the detected person in the input image + example: ' ' + properties: + bottom: + description: Bottom coordinate of the box + example: 459 + type: integer + left: + description: Left coordinate of the box + example: 82 + type: integer + right: + description: Right coordinate of the box + example: 393 + type: integer + top: + description: Top coordinate of the box + example: 0 + type: integer + type: object + gender: + description: Gender of the detected person in the input image + example: Man + type: string + race: + description: Race of the detected person in the input image + example: white + type: string + type: object + type: object + type: array + message: type: string - description: The message of the API call. example: Successfully Processed + description: Detail description on the API status status: type: string - description: The status of the API call. example: Success - results: - type: object - properties: - suggestion: - type: string - description: The message of the API call. - example: Please begin by choosing Create/Modify Global parts on screen or Create/Modify Global parts by download/upload master. Alternatively, you can request support here[link to chatbot]. + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure forbidden: type: object properties: @@ -93,12 +208,21 @@ components: status: type: string example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure notfound: type: object properties: message: type: string - example: Invalid Request URL + example: Invalid Request status: type: string example: Failure @@ -107,7 +231,16 @@ components: properties: message: type: string - example: Internal Server Error + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout status: type: string example: Failure @@ -120,57 +253,55 @@ components: status: type: string example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON + example: Published Date - Dec 09, 2020 + x-details: Initial version release description: Latest Version - ruleengineinput: + input: type: object + required: + + - image_base64 + properties: - event_history: - type: object - properties: - page_url: - type: string - default: true - description: |+ - Page URL of getting suggestion - example: https://test.brivge.com/globalparts/create - time_interval: - type: string - default: true - description: |+ - Time interval of getting suggestion value will be greater than or equal to 60000 - example: 60000 - selected_mode: - type: string - description: |+ - Selected mode of getting suggestion - example: Create/Modify Global parts on screen - upload: - type: string - description: |+ - Upload of getting suggestion value will be greater than 0 - example: 1 - add_item: - type: string - description: |+ - Add Item of getting suggestion value will be greater than 0 - example: 1 - edit_item: - type: string - description: |+ - Edit item of getting suggestion value will be greater than 0 - example: 1 - first_prompt: - type: string - description: |+ - First prompt of getting suggestion value will be true/false - example: true/false + image_base64: + x-name: image_base64 + type: string + default: True + example: /9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUG... + description: |+ + Input image file in base64 format. + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 2bbb92c375bb5fa6c36a2b181bfd1407657d43dc Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 10:30:31 +0530 Subject: [PATCH 3779/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 199 ++++++++++---------------------- 1 file changed, 64 insertions(+), 135 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 1a85e6d0b..42d26a122 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -1,14 +1,13 @@ openapi: 3.0.1 info: - title: Demographics Classification + title: Rule Engine description: |+ - This Computer Vision microservice identifies faces within an input image and predicts the demographics of each face (age, gender and race). The image is processed as an input encoded using base64. The results will then be returned back to the user as a JSON output together with bounding box coordinates for each face. Races include: Asian, Indian, White, Black, Middle Eastern and Latino Hispanic - The size of your image file should **not exceed 10 MB**, and the image dimension should be **at least 416x416 pixels**. + It provides a core Business Rules Engine x-additionalinfo: |+ Suggested Use Cases: - - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to improve visitor experience and optimize operations in retail, leisure, and other sectors by identifying the type of demogrpahic that frequents a certain place the most. It can also be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. + - This microservice can be used to get suggestions based on the rules. version: v0.1.0 - x-subscribelink: demographics_classification + x-subscribelink: rule_engine x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -23,12 +22,12 @@ info: x-apidetailsdesc: |+ Identifies faces within an input image and predicts the demographics. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io/ruleengine/microservices/dataanalytics' tags: - name: "v0.1.0" description: "Published Date - Dec 09, 2020" paths: - /microservices/cv/democlass/v0/getpredictions: + /getsuggestion/v0/getresults: post: tags: - v0.1.0 @@ -38,39 +37,14 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/success' - example: - results: - persons: - - age: 33.21062944528088 - bbox: - bottom: 459 - left: 82 - right: 393 - top: 0 - gender: Man - race: white - + $ref: '#/components/schemas/ruleenginesuccess' + example: message: Successfully Processed status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' + results: + suggestion: Please begin by choosing Create/Modify Global parts on screen or Create/Modify + Global parts by download/upload master. Alternatively, you can request support + here[link to chatbot]. '404': description: Not Found content: @@ -83,30 +57,12 @@ paths: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' '500': description: Internal Server error content: application/json: schema: $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' security: - APIAuthorizer: [] @@ -114,82 +70,28 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/input' + $ref: '#/components/schemas/ruleengineinput' required: true - - components: schemas: - success: + ruleenginesuccess: type: object properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - persons: - description: Demographic details of the detected person - example: - age: 33.21062944528088 - bbox: - bottom: 459 - left: 82 - right: 393 - top: 0 - gender: Man - race: white - items: - properties: - description: Demographic details of the detected person - example: ' ' - properties: - age: - description: Age of the detected person in the input image - example: 33.21062944528088 - type: float - bbox: - description: Bounding box of the detected person in the input image - example: ' ' - properties: - bottom: - description: Bottom coordinate of the box - example: 459 - type: integer - left: - description: Left coordinate of the box - example: 82 - type: integer - right: - description: Right coordinate of the box - example: 393 - type: integer - top: - description: Top coordinate of the box - example: 0 - type: integer - type: object - gender: - description: Gender of the detected person in the input image - example: Man - type: string - race: - description: Race of the detected person in the input image - example: white - type: string - type: object - type: object - type: array - message: type: string + description: The message of the API call. example: Successfully Processed - description: Detail description on the API status status: type: string + description: The status of the API call. example: Success - description: The status of the API call success/failure - + results: + type: object + properties: + suggestion: + type: string + description: The message of the API call. + example: Please begin by choosing Create/Modify Global parts on screen or Create/Modify Global parts by download/upload master. Alternatively, you can request support here[link to chatbot]. unauthorized: type: object properties: @@ -282,22 +184,49 @@ components: example: Published Date - Dec 09, 2020 x-details: Initial version release description: Latest Version - input: + ruleengineinput: type: object - required: - - - image_base64 - properties: - image_base64: - x-name: image_base64 - type: string - default: True - example: /9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUG... - description: |+ - Input image file in base64 format. - - + event_history: + type: object + properties: + page_url: + type: string + default: true + description: |+ + Page URL of getting suggestion + example: https://test.brivge.com/globalparts/create + time_interval: + type: string + default: true + description: |+ + Time interval of getting suggestion value will be greater than or equal to 60000 + example: 60000 + selected_mode: + type: string + description: |+ + Selected mode of getting suggestion + example: Create/Modify Global parts on screen + upload: + type: string + description: |+ + Upload of getting suggestion value will be greater than 0 + example: 1 + add_item: + type: string + description: |+ + Add Item of getting suggestion value will be greater than 0 + example: 1 + edit_item: + type: string + description: |+ + Edit item of getting suggestion value will be greater than 0 + example: 1 + first_prompt: + type: string + description: |+ + First prompt of getting suggestion value will be true/false + example: true/false securitySchemes: APIAuthorizer: type: apiKey From b73363c02b5cd26076324ba40f3b1bc7ff33e78d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 13:04:06 +0530 Subject: [PATCH 3780/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 42d26a122..63e854ca1 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - This microservice can be used to get suggestions based on the rules. - version: v0.1.0 + version: "0.1.0" x-subscribelink: rule_engine x-apitype: small file x-apitypedescription: |+ From 8f8510bb2344f793f6184ab6780a11daa55223d0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 13:05:30 +0530 Subject: [PATCH 3781/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 63e854ca1..2481c0001 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - This microservice can be used to get suggestions based on the rules. - version: "0.1.0" + version: '0.1.0' x-subscribelink: rule_engine x-apitype: small file x-apitypedescription: |+ From 0b72e5bcdbd9fcd81469c9c654f5554e21d5e924 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 13:58:37 +0530 Subject: [PATCH 3782/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 96 +++++++-------------------------- 1 file changed, 18 insertions(+), 78 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 2481c0001..9c5e8ca59 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -3,10 +3,10 @@ info: title: Rule Engine description: |+ It provides a core Business Rules Engine + version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: - - This microservice can be used to get suggestions based on the rules. - version: '0.1.0' + - This microservice can be used to add event and items to get recommendation. x-subscribelink: rule_engine x-apitype: small file x-apitypedescription: |+ @@ -20,24 +20,24 @@ info: x-notes: |+ File size cannot exceed 10 MB. x-apidetailsdesc: |+ - Identifies faces within an input image and predicts the demographics. + It's a type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm servers: - - url: 'https://dev-apis.sentient.io/ruleengine/microservices/dataanalytics' + - url: 'https://dev-apis.sentient.io/ruleengine/microservices/dataanalytics' tags: -- name: "v0.1.0" - description: "Published Date - Dec 09, 2020" +- name: "v1.0.0" + description: "Published Date - Oct 30, 2020" paths: /getsuggestion/v0/getresults: post: tags: - - v0.1.0 + - v1.0.0 responses: '200': description: Ok content: application/json: schema: - $ref: '#/components/schemas/ruleenginesuccess' + $ref: '#/components/schemas/success' example: message: Successfully Processed status: Success @@ -45,36 +45,28 @@ paths: suggestion: Please begin by choosing Create/Modify Global parts on screen or Create/Modify Global parts by download/upload master. Alternatively, you can request support here[link to chatbot]. - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' '419': description: Input Field Missing content: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' + '500': - description: Internal Server error + description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: content: application/json: schema: - $ref: '#/components/schemas/ruleengineinput' + $ref: '#/components/schemas/input' required: true components: schemas: - ruleenginesuccess: + success: type: object properties: message: @@ -92,15 +84,6 @@ components: type: string description: The message of the API call. example: Please begin by choosing Create/Modify Global parts on screen or Create/Modify Global parts by download/upload master. Alternatively, you can request support here[link to chatbot]. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure forbidden: type: object properties: @@ -110,21 +93,12 @@ components: status: type: string example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure notfound: type: object properties: message: type: string - example: Invalid Request + example: Invalid Request URL status: type: string example: Failure @@ -133,16 +107,7 @@ components: properties: message: type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout + example: Internal Server Error status: type: string example: Failure @@ -155,36 +120,18 @@ components: status: type: string example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure versions: type: object properties: - v0.1.0: + v1.0.0: type: array items: oneOf: - type: string - example: Published Date - Dec 09, 2020 - x-details: Initial version release + example: Published Date - Oct 30, 2020 + x-details: Standardizing Output JSON description: Latest Version - ruleengineinput: + input: type: object properties: event_history: @@ -227,10 +174,3 @@ components: description: |+ First prompt of getting suggestion value will be true/false example: true/false - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 6924609e7d444ec4cfbec3fc2640c36d5f534d2b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 14:01:16 +0530 Subject: [PATCH 3783/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 9c5e8ca59..c0af7dc68 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -136,6 +136,9 @@ components: properties: event_history: type: object + description: |+ + List of object + example: {} properties: page_url: type: string From 9785def3b6b8efcc7e4f808cd037d021b6f4a7d9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 14:02:34 +0530 Subject: [PATCH 3784/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index c0af7dc68..ad8bc16cb 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -137,8 +137,8 @@ components: event_history: type: object description: |+ - List of object - example: {} + List of object + example: {"page_url":"https://test.brivge.com/globalparts/create","time_interval":"60000","first_prompt":"true"} properties: page_url: type: string From 3e714540ff712dbcb91c834ab5043236a225876d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 14:25:46 +0530 Subject: [PATCH 3785/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index ad8bc16cb..076cd33f5 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -138,7 +138,7 @@ components: type: object description: |+ List of object - example: {"page_url":"https://test.brivge.com/globalparts/create","time_interval":"60000","first_prompt":"true"} + example: {} properties: page_url: type: string From 3d7eee3c9b68f84829beb108eb77ea7d87a5115f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 14:48:10 +0530 Subject: [PATCH 3786/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 076cd33f5..d1b3e178a 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -58,6 +58,8 @@ paths: application/json: schema: $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] requestBody: content: application/json: @@ -177,3 +179,10 @@ components: description: |+ First prompt of getting suggestion value will be true/false example: true/false + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From daf2d2a231768d5fdca1d12c0acbdd25a99a8ed1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 21 Mar 2022 16:28:31 +0530 Subject: [PATCH 3787/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index d1b3e178a..1d1324749 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -135,6 +135,8 @@ components: description: Latest Version input: type: object + required: + - event_history properties: event_history: type: object @@ -144,13 +146,11 @@ components: properties: page_url: type: string - default: true description: |+ Page URL of getting suggestion example: https://test.brivge.com/globalparts/create time_interval: type: string - default: true description: |+ Time interval of getting suggestion value will be greater than or equal to 60000 example: 60000 From 01b562d6775ce25264c6b0c059d3f7dacba05514 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 21 Mar 2022 16:52:51 +0530 Subject: [PATCH 3788/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 282 ++++++---------------------- 1 file changed, 57 insertions(+), 225 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 40f461f6e..d3a635217 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -1,144 +1,63 @@ openapi: 3.0.1 info: - title: HDB Block Coordinates (SG) - x-subscribelink: building_addresses_hdb_sg + title: HDB Shelters Locations (SG) + x-subscribelink: amenities_shelters_hdb_sg description: |+ - This Data microservice retrieves information on the Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. Updated monthly. + This Data microservice returns the indicative outline of shelters for all Housing Development Board (HDB) Towns and Estates and only on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from SLA (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. Precinct Pavilions are not included in this microservice. + A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ + x-additionalinfo: |+ Suggested Use Cases: - - Information from this microservice can be used to build a geo-targeting app with precise map features. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"range":{"block":{"gte":100}}}]} + - Real estate services - can be used as a solution to extract information related to the types and number of shelters present for people buying or renting a HDB home. + - Property background checks - can be used as a background check service for retail shops owners looking to set up their shops in HDBs, as areas with shelters may induce the likelihood of more customers. + - Can also be used as a solution to improve user awareness and personalization - for example, a weather app can refer a user to the nearest HDB shelter in the case of a rainy day. - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"street":"avenue 3"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"range":{"block":{"lte":200}}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + Download the complete dataset using a pre-signed URL. It's a two steps process + + **Step 1:** Get the pre-signed URL - **Match Types:** + Replace the correct x-api-key, and API endpoint - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + > **curl -X GET -H "Content-Type: application/json" -H "x-api-key:XXXXX" <\>** - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"ang mo kio street"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"ang mo kio"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":550151}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":[550151,550152]}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"postalcode":{"lte":650347}}} - > {"range":{"postalcode":{"gte":650347}}} - > {"range":{"postalcode":{"gte":650347,"lte":760415}}} - - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + **Step 2:** Download file - **Forming sophisticated queries using combinations of filter types (in JSON)** + Using the results.url (i.e) the pre-signed URL to download the dataset - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + > **curl --request GET "results.url" >> "FILE_NAME"** - > { - > "must":[{"range":{"block":{"gte":100}}}], - > "should":[{"range":{"block":{"lte":200}}}], - > "filter":[{"match_phrase":{"street":"ang mo kio"}}], - > "must_not":[{"match":{"street":"avenue 3"}}] - > } - **Sample Queries Based on Use Cases** - 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** + **Data schema** - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - + | Name | Type | Size | Description | + |---|---|---|---|---| + | FEATID | Integer | N/A | Feature ID. Unique running number. | + | TYPE | Char | N/A | Captures the type of object. | + | LVL | Char | N/A | Captures whether the object is located at Ground level or Above Ground level. | + | QUALITY | Char | N/A | Captures whether the section of the feature was Fully Visible or Partially Visible. | + | INC_CRC | Varchar | 50 | Sub Location Id | + | FMEL_UPD_D | Datetime | N/A | Area of the feature | + | Shape__Area | Float | N/A | Area of the feature | + | Shape__Length | Float | N/A | Length of the feature | version: '1.0.0' x-apitype: small file x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call + Fast | Single-Call | 20MB/Call x-inputfilelimit: |+ - Process up to 10000 kb of data per API call. + Process up to xxx kb of data or chat per API call. x-responsetime: |+ - Response rate is fast due to small data transfer per call made. + The response rate is slower than the small file API due to large data x-billingmethod: |+ The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - May 21, 2021" + description: "Published Date - Apr 15, 2021" paths: - /microservices/data/directories_searchbranch/v1/getdata: + /microservices/data/shelter/v1/getdata: get: tags: - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":500}}}],"filter":[{"match_phrase":{"street":"serangoon central"}}],"must_not":[{"match":{"postalcode":343534}}]} responses: '200': description: Ok @@ -148,25 +67,9 @@ paths: $ref: '#/components/schemas/success' example: results: - total: 1 - max_score: 12.08503 - hits: - - _index: sentient_building_directory_index - _type: dir_doc - _id: uLxcqWgBv3dNEHq2Dznn - _score: 12.08503 - _source: - buildingname: nex - postalcode: 556083 - block: '23' - street: serangoon central - location: - lat: 1.350748 - lon: 103.872798 - source: starhub - createddate: '2019-02-01' - message: Successfully Processed + url: "" status: Success + message: Successfully Processed '401': description: Unauthorized content: @@ -228,92 +131,23 @@ components: success: type: object properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 1 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - buildingname: - type: string - description: Building Name - example: "nex" - street: - type: string - description: Street Name of Building - example: "serangoon central" - postalcode: - type: integer - description: Postal code - example: 556083 - block: - type: string - description: Block Number - example: "23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.350748,"lon":103.872798} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.350748 - lon: - type: string - description: WGS84 longitude - example: 103.872798 - source: - type: string - description: Dataset source - example: "hdb" - createddate: - type: string - description: Record first released date on Sentient.io - example: "2019-02-01" - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + url: + type: string + description: pre-signed URL to download the file + example: "" + status: + type: string + example: Success + description: The status of the API call. success/failure + message: + type: string + example: Successfully Processed + description: Detail description on the api status unauthorized: type: object properties: @@ -397,23 +231,21 @@ components: example: Failure versions: type: object - properties: + properties: v1.0.0: type: array items: oneOf: - type: string - example: Published Date - May 21, 2021 - x-details: Optimized release - description: Latest Version + example: Published Date - Apr 15, 2021 + description: Optimized release v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived + example: Published Date - Mar 24, 2020 + description: Initial version release securitySchemes: APIAuthorizer: type: apiKey From 9526e3862f5b3fbcc5bea69e2bec4dced973fdb9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 21 Mar 2022 16:55:22 +0530 Subject: [PATCH 3789/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index d3a635217..b3bb72b73 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -49,7 +49,7 @@ info: x-billingmethod: |+ The API is billed by the amount of data transferred. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Apr 15, 2021" From eac453c336dc5c8f0ae5a8ca2fa5a2c71fe0be99 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 09:35:16 +0530 Subject: [PATCH 3790/5916] Create azure_tts.yaml --- voice/azure_tts.yaml | 561 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 561 insertions(+) create mode 100644 voice/azure_tts.yaml diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml new file mode 100644 index 000000000..b0d369b52 --- /dev/null +++ b/voice/azure_tts.yaml @@ -0,0 +1,561 @@ + +openapi: 3.0.1 +info: + title: Azure TTS + description: |+ + The text-to-speech REST API supports neural text-to-speech voices, which support specific languages and dialects that are identified by locale. + + The input text should not exceed **400 characters**. + x-additionalinfo: |+ + | **Name** | **Locale** | **Gender** | **Voice name** | + |:-------------------------------------------:|:------------------:|:----------------:|:-----------------------:| + | Afrikaans (South Africa) | af-ZA | Female | af-ZA-AdriNeural | + | Afrikaans (South Africa) | af-ZA | Male | af-ZA-WillemNeural | + | Amharic (Ethiopia) | am-ET | Female | am-ET-MekdesNeural | + | Amharic (Ethiopia) | am-ET | Male | am-ET-AmehaNeural | + | Arabic (Algeria) | ar-DZ | Female | ar-DZ-AminaNeural | + | Arabic (Algeria) | ar-DZ | Male | ar-DZ-IsmaelNeural | + | Arabic (Bahrain) | ar-BH | Female | ar-BH-LailaNeural | + | Arabic (Bahrain) | ar-BH | Male | ar-BH-AliNeural | + | Arabic (Egypt) | ar-EG | Female | ar-EG-SalmaNeural | + | Arabic (Egypt) | ar-EG | Male | ar-EG-ShakirNeural | + | Arabic (Iraq) | ar-IQ | Female | ar-IQ-RanaNeural | + | Arabic (Iraq) | ar-IQ | Male | ar-IQ-BasselNeural | + | Arabic (Jordan) | ar-JO | Female | ar-JO-SanaNeural | + | Arabic (Jordan) | ar-JO | Male | ar-JO-TaimNeural | + | Arabic (Kuwait) | ar-KW | Female | ar-KW-NouraNeural | + | Arabic (Kuwait) | ar-KW | Male | ar-KW-FahedNeural | + | Arabic (Libya) | ar-LY | Female | ar-LY-ImanNeural | + | Arabic (Libya) | ar-LY | Male | ar-LY-OmarNeural | + | Arabic (Morocco) | ar-MA | Female | ar-MA-MounaNeural | + | Arabic (Morocco) | ar-MA | Male | ar-MA-JamalNeural | + | Arabic (Qatar) | ar-QA | Female | ar-QA-AmalNeural | + | Arabic (Qatar) | ar-QA | Male | ar-QA-MoazNeural | + | Arabic (Saudi Arabia) | ar-SA | Female | ar-SA-ZariyahNeural | + | Arabic (Saudi Arabia) | ar-SA | Male | ar-SA-HamedNeural | + | Arabic (Syria) | ar-SY | Female | ar-SY-AmanyNeural | + | Arabic (Syria) | ar-SY | Male | ar-SY-LaithNeural | + | Arabic (Tunisia) | ar-TN | Female | ar-TN-ReemNeural | + | Arabic (Tunisia) | ar-TN | Male | ar-TN-HediNeural | + | Arabic (United Arab Emirates) | ar-AE | Female | ar-AE-FatimaNeural | + | Arabic (United Arab Emirates) | ar-AE | Male | ar-AE-HamdanNeural | + | Arabic (Yemen) | ar-YE | Female | ar-YE-MaryamNeural | + | Arabic (Yemen) | ar-YE | Male | ar-YE-SalehNeural | + | Bangla (Bangladesh) | bn-BD | Female | bn-BD-NabanitaNeural | + | Bangla (Bangladesh) | bn-BD | Male | bn-BD-PradeepNeural | + | Bengali (India) | bn-IN | Female | bn-IN-TanishaaNeural | + | Bengali (India) | bn-IN | Male | bn-IN-BashkarNeural | + | Bulgarian (Bulgaria) | bg-BG | Female | bg-BG-KalinaNeural | + | Bulgarian (Bulgaria) | bg-BG | Male | bg-BG-BorislavNeural | + | Burmese (Myanmar) | my-MM | Female | my-MM-NilarNeural | + | Burmese (Myanmar) | my-MM | Male | my-MM-ThihaNeural | + | Catalan (Spain) | ca-ES | Female | ca-ES-AlbaNeural | + | Catalan (Spain) | ca-ES | Female | ca-ES-JoanaNeural | + | Catalan (Spain) | ca-ES | Male | ca-ES-EnricNeural | + | Chinese (Cantonese, Traditional) | zh-HK | Female | zh-HK-HiuGaaiNeural | + | Chinese (Cantonese, Traditional) | zh-HK | Female | zh-HK-HiuMaanNeural | + | Chinese (Cantonese, Traditional) | zh-HK | Male | zh-HK-WanLungNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaochenNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaohanNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaomoNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaoqiuNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaoruiNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaoshuangNeural| + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaoxiaoNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaoxuanNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaoyanNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Female | zh-CN-XiaoyouNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Male | zh-CN-YunxiNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Male | zh-CN-YunyangNeural | + | Chinese (Mandarin, Simplified) | zh-CN | Male | zh-CN-YunyeNeural | + | Chinese (Taiwanese Mandarin) | zh-TW | Female | zh-TW-HsiaoChenNeural | + | Chinese (Taiwanese Mandarin) | zh-TW | Female | zh-TW-HsiaoYuNeural | + | Chinese (Taiwanese Mandarin) | zh-TW | Male | zh-TW-YunJheNeural | + | Croatian (Croatia) | hr-HR | Female | hr-HR-GabrijelaNeural | + | Croatian (Croatia) | hr-HR | Male | hr-HR-SreckoNeural | + | Czech (Czech) | cs-CZ | Female | cs-CZ-VlastaNeural | + | Czech (Czech) | cs-CZ | Male | cs-CZ-AntoninNeural | + | Danish (Denmark) | da-DK | Female | da-DK-ChristelNeural | + | Danish (Denmark) | da-DK | Male | da-DK-JeppeNeural | + | Dutch (Belgium) | nl-BE | Female | nl-BE-DenaNeural | + | Dutch (Belgium) | nl-BE | Male | nl-BE-ArnaudNeural | + | Dutch (Netherlands) | nl-NL | Female | nl-NL-ColetteNeural | + | Dutch (Netherlands) | nl-NL | Female | nl-NL-FennaNeural | + | Dutch (Netherlands) | nl-NL | Male | nl-NL-MaartenNeural | + | English (Australia) | en-AU | Female | en-AU-NatashaNeural | + | English (Australia) | en-AU | Male | en-AU-WilliamNeural | + | English (Canada) | en-CA | Female | en-CA-ClaraNeural | + | English (Canada) | en-CA | Male | en-CA-LiamNeural | + | English (Hongkong) | en-HK | Female | en-HK-YanNeural | + | English (Hongkong) | en-HK | Male | en-HK-SamNeural | + | English (India) | en-IN | Female | en-IN-NeerjaNeural | + | English (India) | en-IN | Male | en-IN-PrabhatNeural | + | English (Ireland) | en-IE | Female | en-IE-EmilyNeural | + | English (Ireland) | en-IE | Male | en-IE-ConnorNeural | + | English (Kenya) | en-KE | Female | en-KE-AsiliaNeural | + | English (Kenya) | en-KE | Male | en-KE-ChilembaNeural | + | English (New Zealand) | en-NZ | Female | en-NZ-MollyNeural | + | English (New Zealand) | en-NZ | Male | en-NZ-MitchellNeural | + | English (Nigeria) | en-NG | Female | en-NG-EzinneNeural | + | English (Nigeria) | en-NG | Male | en-NG-AbeoNeural | + | English (Philippines) | en-PH | Female | en-PH-RosaNeural | + | English (Philippines) | en-PH | Male | en-PH-JamesNeural | + | English (Singapore) | en-SG | Female | en-SG-LunaNeural | + | English (Singapore) | en-SG | Male | en-SG-WayneNeural | + | English (South Africa) | en-ZA | Female | en-ZA-LeahNeural | + | English (South Africa) | en-ZA | Male | en-ZA-LukeNeural | + | English (Tanzania) | en-TZ | Female | en-TZ-ImaniNeural | + | English (Tanzania) | en-TZ | Male | en-TZ-ElimuNeural | + | English (United Kingdom) | en-GB | Female | en-GB-LibbyNeural | + | English (United Kingdom) | en-GB | Female | en-GB-MiaNeural | + | English (United Kingdom) | en-GB | Female | en-GB-SoniaNeural | + | English (United Kingdom) | en-GB | Male | en-GB-RyanNeural | + | English (United States) | en-US | Female | en-US-AmberNeural | + | English (United States) | en-US | Female | en-US-AriaNeural | + | English (United States) | en-US | Female | en-US-AshleyNeural | + | English (United States) | en-US | Female | en-US-CoraNeural | + | English (United States) | en-US | Female | en-US-ElizabethNeural | + | English (United States) | en-US | Female | en-US-JennyNeural | + | English (United States) | en-US | Female | en-US-MichelleNeural | + | English (United States) | en-US | Female | en-US-MonicaNeural | + | English (United States) | en-US | Female | en-US-SaraNeural | + | English (United States) | en-US | Kid | en-US-AnaNeural | + | English (United States) | en-US | Male | en-US-BrandonNeural | + | English (United States) | en-US | Male | en-US-ChristopherNeural| + | English (United States) | en-US | Male | en-US-EricNeural | + | English (United States) | en-US | Male | en-US-GuyNeural | + | English (United States) | en-US | Male | en-US-JacobNeural | + | Estonian (Estonia) | et-EE | Female | et-EE-AnuNeural | + | Estonian (Estonia) | et-EE | Male | et-EE-KertNeural | + | Filipino (Philippines) | fil-PH | Female | fil-PH-BlessicaNeural | + | Filipino (Philippines) | fil-PH | Male | fil-PH-AngeloNeural | + | Finnish (Finland) | fi-FI | Female | fi-FI-NooraNeural | + | Finnish (Finland) | fi-FI | Female | fi-FI-SelmaNeural | + | Finnish (Finland) | fi-FI | Male | fi-FI-HarriNeural | + | French (Belgium) | fr-BE | Female | fr-BE-CharlineNeural | + | French (Belgium) | fr-BE | Male | fr-BE-GerardNeural | + | French (Canada) | fr-CA | Female | fr-CA-SylvieNeural | + | French (Canada) | fr-CA | Male | fr-CA-AntoineNeural | + | French (Canada) | fr-CA | Male | fr-CA-JeanNeural | + | French (France) | fr-FR | Female | fr-FR-DeniseNeural | + | French (France) | fr-FR | Male | fr-FR-HenriNeural | + | French (Switzerland) | fr-CH | Female | fr-CH-ArianeNeural | + | French (Switzerland) | fr-CH | Male | fr-CH-FabriceNeural | + | Galician (Spain) | gl-ES | Female | gl-ES-SabelaNeural | + | Galician (Spain) | gl-ES | Male | gl-ES-RoiNeural | + | German (Austria) | de-AT | Female | de-AT-IngridNeural | + | German (Austria) | de-AT | Male | de-AT-JonasNeural | + | German (Germany) | de-DE | Female | de-DE-KatjaNeural | + | German (Germany) | de-DE | Male | de-DE-ConradNeural | + | German (Switzerland) | de-CH | Female | de-CH-LeniNeural | + | German (Switzerland) | de-CH | Male | de-CH-JanNeural | + | Greek (Greece) | el-GR | Female | el-GR-AthinaNeural | + | Greek (Greece) | el-GR | Male | el-GR-NestorasNeural | + | Gujarati (India) | gu-IN | Female | gu-IN-DhwaniNeural | + | Gujarati (India) | gu-IN | Male | gu-IN-NiranjanNeural | + | Hebrew (Israel) | he-IL | Female | he-IL-HilaNeural | + | Hebrew (Israel) | he-IL | Male | he-IL-AvriNeural | + | Hindi (India) | hi-IN | Female | hi-IN-SwaraNeural | + | Hindi (India) | hi-IN | Male | hi-IN-MadhurNeural | + | Hungarian (Hungary) | hu-HU | Female | hu-HU-NoemiNeural | + | Hungarian (Hungary) | hu-HU | Male | hu-HU-TamasNeural | + | Icelandic (Iceland) | is-IS | Female | is-IS-GudrunNeural | + | Icelandic (Iceland) | is-IS | Male | is-IS-GunnarNeural | + | Indonesian (Indonesia) | id-ID | Female | id-ID-GadisNeural | + | Indonesian (Indonesia) | id-ID | Male | id-ID-ArdiNeural | + | Irish (Ireland) | ga-IE | Female | ga-IE-OrlaNeural | + | Irish (Ireland) | ga-IE | Male | ga-IE-ColmNeural | + | Italian (Italy) | it-IT | Female | it-IT-ElsaNeural | + | Italian (Italy) | it-IT | Female | it-IT-IsabellaNeural | + | Italian (Italy) | it-IT | Male | it-IT-DiegoNeural | + | Japanese (Japan) | ja-JP | Female | ja-JP-NanamiNeural | + | Japanese (Japan) | ja-JP | Male | ja-JP-KeitaNeural | + | Javanese (Indonesia) | jv-ID | Female | jv-ID-SitiNeural | + | Javanese (Indonesia) | jv-ID | Male | jv-ID-DimasNeural | + | Kannada (India) | kn-IN | Female | kn-IN-SapnaNeural | + | Kannada (India) | kn-IN | Male | kn-IN-GaganNeural | + | Kazakh (Kazakhstan) | kk-KZ | Female | kk-KZ-AigulNeural | + | Kazakh (Kazakhstan) | kk-KZ | Male | kk-KZ-DauletNeural | + | Khmer (Cambodia) | km-KH | Female | km-KH-SreymomNeural | + | Khmer (Cambodia) | km-KH | Male | km-KH-PisethNeural | + | Korean (Korea) | ko-KR | Female | ko-KR-SunHiNeural | + |Korean (Korea) | ko-KR | Male | ko-KR-InJoonNeural | + | Lao (Laos) | lo-LA | Female | lo-LA-KeomanyNeural | + | Lao (Laos) | lo-LA | Male | lo-LA-ChanthavongNeural| + | Latvian (Latvia) | lv-LV | Female | lv-LV-EveritaNeural | + | Latvian (Latvia) | lv-LV | Male | lv-LV-NilsNeural | + | Lithuanian (Lithuania) | lt-LT | Female | lt-LT-OnaNeural | + | Lithuanian (Lithuania) | lt-LT | Male | lt-LT-LeonasNeural | + | Macedonian (Republic of North Macedonia) | mk-MK | Female | mk-MK-MarijaNeural | + | Macedonian (Republic of North Macedonia) | mk-MK | Male | mk-MK-AleksandarNeural| + | Malay (Malaysia) | ms-MY | Female | ms-MY-YasminNeural | + | Malay (Malaysia) | ms-MY | Male | ms-MY-OsmanNeural | + | Malayalam (India) | ml-IN | Female | ml-IN-SobhanaNeural | + | Malayalam (India) | ml-IN | Male | ml-IN-MidhunNeural | + | Maltese (Malta) | mt-MT | Female | mt-MT-GraceNeural | + | Maltese (Malta) | mt-MT | Male | mt-MT-JosephNeural | + | Marathi (India) | mr-IN | Female | mr-IN-AarohiNeural | + | Marathi (India) | mr-IN | Male | mr-IN-ManoharNeural | + | Norwegian (Bokmål, Norway) | nb-NO | Female | nb-NO-IselinNeural | + | Norwegian (Bokmål, Norway) | nb-NO | Female | nb-NO-PernilleNeural | + | Norwegian (Bokmål, Norway) | nb-NO | Male | nb-NO-FinnNeural | + | Pashto (Afghanistan) | ps-AF | Female | ps-AF-LatifaNeural | + | Pashto (Afghanistan) | ps-AF | Male | ps-AF-GulNawazNeural | + | Persian (Iran) | fa-IR | Female | fa-IR-DilaraNeural | + | Persian (Iran) | fa-IR | Male | fa-IR-FaridNeural | + | Polish (Poland) | pl-PL | Female | pl-PL-AgnieszkaNeural | + | Polish (Poland) | pl-PL | Female | pl-PL-ZofiaNeural | + | Polish (Poland) | pl-PL | Male | pl-PL-MarekNeural | + | Portuguese (Brazil) | pt-BR | Female | pt-BR-FranciscaNeural | + | Portuguese (Brazil) | pt-BR | Male | pt-BR-AntonioNeural | + | Portuguese (Portugal) | pt-PT | Female | pt-PT-FernandaNeural | + | Portuguese (Portugal) | pt-PT | Female | pt-PT-RaquelNeural | + | Portuguese (Portugal) | pt-PT | Male | pt-PT-DuarteNeural | + | Romanian (Romania) | ro-RO | Female | ro-RO-AlinaNeural | + | Romanian (Romania) | ro-RO | Male | ro-RO-EmilNeural | + | Russian (Russia) | ru-RU | Female | ru-RU-DariyaNeural | + | Russian (Russia) | ru-RU | Female | ru-RU-SvetlanaNeural | + | Russian (Russia) | ru-RU | Male | ru-RU-DmitryNeural | + | Serbian (Serbia, Cyrillic) | sr-RS | Female | sr-RS-SophieNeural | + | Serbian (Serbia, Cyrillic) | sr-RS | Male | sr-RS-NicholasNeural | + | Sinhala (Sri Lanka) | si-LK | Female | si-LK-ThiliniNeural | + | Sinhala (Sri Lanka) | si-LK | Male | si-LK-SameeraNeural | + | Slovak (Slovakia) | sk-SK | Female | sk-SK-ViktoriaNeural | + | Slovak (Slovakia) | sk-SK | Male | sk-SK-LukasNeural | + | Slovenian (Slovenia) | sl-SI | Female | sl-SI-PetraNeural | + | Slovenian (Slovenia) | sl-SI | Male | sl-SI-RokNeural | + | Somali (Somalia) | so-SO | Female | so-SO-UbaxNeural | + | Somali (Somalia) | so-SO | Male | so-SO-MuuseNeural | + | Spanish (Argentina) | es-AR | Female | es-AR-ElenaNeural | + | Spanish (Argentina) | es-AR | Male | es-AR-TomasNeural | + | Spanish (Bolivia) | es-BO | Female | es-BO-SofiaNeural | + | Spanish (Bolivia) | es-BO | Male | es-BO-MarceloNeural | + | Spanish (Chile) | es-CL | Female | es-CL-CatalinaNeural | + | Spanish (Chile) | es-CL | Male | es-CL-LorenzoNeural | + | Spanish (Colombia) | es-CO | Female | es-CO-SalomeNeural | + | Spanish (Colombia) | es-CO | Male | es-CO-GonzaloNeural | + | Spanish (Costa Rica) | es-CR | Female | es-CR-MariaNeural | + | Spanish (Costa Rica) | es-CR | Male | es-CR-JuanNeural | + | Spanish (Cuba) | es-CU | Female | es-CU-BelkysNeural | + | Spanish (Cuba) | es-CU | Male | es-CU-ManuelNeural | + | Spanish (Dominican Republic) | es-DO | Female | es-DO-RamonaNeural | + | Spanish (Dominican Republic) | es-DO | Male | es-DO-EmilioNeural | + | Spanish (Ecuador) | es-EC | Female | es-EC-AndreaNeural | + | Spanish (Ecuador) | es-EC | Male | es-EC-LuisNeural | + | Spanish (El Salvador) | es-SV | Female | es-SV-LorenaNeural | + | Spanish (El Salvador) | es-SV | Male | es-SV-RodrigoNeural | + | Spanish (Equatorial Guinea) | es-GQ | Female | es-GQ-TeresaNeural | + | Spanish (Equatorial Guinea) | es-GQ | Male | es-GQ-JavierNeural | + | Spanish (Guatemala) | es-GT | Female | es-GT-MartaNeural | + | Spanish (Guatemala) | es-GT | Male | es-GT-AndresNeural | + | Spanish (Honduras) | es-HN | Female | es-HN-KarlaNeural | + | Spanish (Honduras) | es-HN | Male | es-HN-CarlosNeural | + | Spanish (Mexico) | es-MX | Female | es-MX-DaliaNeural | + | Spanish (Mexico) | es-MX | Male | es-MX-JorgeNeural | + | Spanish (Nicaragua) | es-NI | Female | es-NI-YolandaNeural | + | Spanish (Nicaragua) | es-NI | Male | es-NI-FedericoNeural | + | Spanish (Panama) | es-PA | Female | es-PA-MargaritaNeural | + | Spanish (Panama) | es-PA | Male | es-PA-RobertoNeural | + | Spanish (Paraguay) | es-PY | Female | es-PY-TaniaNeural | + | Spanish (Paraguay) | es-PY | Male | es-PY-MarioNeural | + | Spanish (Peru) | es-PE | Female | es-PE-CamilaNeural | + { Spanish (Peru) | es-PE | Male | es-PE-AlexNeural | + | Spanish (Puerto Rico) | es-PR | Female | es-PR-KarinaNeural | + | Spanish (Puerto Rico) | es-PR | Male | es-PR-VictorNeural | + | Spanish (Spain) | es-ES | Female | es-ES-ElviraNeural | + | Spanish (Spain) | es-ES | Male | es-ES-AlvaroNeural | + | Spanish (Uruguay) | es-UY | Female | es-UY-ValentinaNeural | + | Spanish (Uruguay) | es-UY | Male | es-UY-MateoNeural | + | Spanish (US) | es-US | Female | es-US-PalomaNeural | + | Spanish (US) | es-US | Male | es-US-AlonsoNeural | + | Spanish (Venezuela) | es-VE | Female | es-VE-PaolaNeural | + | Spanish (Venezuela) | es-VE | Male | es-VE-SebastianNeural | + | Sundanese (Indonesia) | su-ID | Female | su-ID-TutiNeural | + | Sundanese (Indonesia) | su-ID | Male | su-ID-JajangNeural | + | Swahili (Kenya) | sw-KE | Female | sw-KE-ZuriNeural | + | Swahili (Kenya) | sw-KE | Male | sw-KE-RafikiNeural | + | Swahili (Tanzania) | sw-TZ | Female | sw-TZ-RehemaNeural | + | Swahili (Tanzania) | sw-TZ | Male | sw-TZ-DaudiNeural | + | Swedish (Sweden) | sv-SE | Female | sv-SE-HilleviNeural | + | Swedish (Sweden) | sv-SE | Female | sv-SE-SofieNeural | + | Swedish (Sweden) | sv-SE | Male | sv-SE-MattiasNeural | + | Tamil (India) | ta-IN | Female | ta-IN-PallaviNeural | + | Tamil (India) | ta-IN | Male | ta-IN-ValluvarNeural | + | Tamil (Singapore) | ta-SG | Female | ta-SG-VenbaNeural | + | Tamil (Singapore) | ta-SG | Male | ta-SG-AnbuNeural | + | Tamil (Sri Lanka) | ta-LK | Female | ta-LK-SaranyaNeural | + | Tamil (Sri Lanka) | ta-LK | Male | ta-LK-KumarNeural | + | Telugu (India) | te-IN | Female | te-IN-ShrutiNeural | + | Telugu (India) | te-IN | Male | te-IN-MohanNeural | + | Thai (Thailand) | th-TH | Female | th-TH-AcharaNeural | + | Thai (Thailand) | th-TH | Female | th-TH-PremwadeeNeural | + | Thai (Thailand) | th-TH | Male | th-TH-NiwatNeural | + | Turkish (Turkey) | tr-TR | Female | tr-TR-EmelNeural | + | Turkish (Turkey) | tr-TR | Male | tr-TR-AhmetNeural | + | Ukrainian (Ukraine) | uk-UA | Female | uk-UA-PolinaNeural | + | Ukrainian (Ukraine) | uk-UA | Male | uk-UA-OstapNeural | + | Urdu (India) | ur-IN | Female | ur-IN-GulNeural | + | Urdu (India) | ur-IN | Male | ur-IN-SalmanNeural | + | Urdu (Pakistan) | ur-PK | Female | ur-PK-UzmaNeural | + | Urdu (Pakistan) | ur-PK | Male | ur-PK-AsadNeural | + | Uzbek (Uzbekistan) | uz-UZ | Female | uz-UZ-MadinaNeural | + | Uzbek (Uzbekistan) | uz-UZ | Male | uz-UZ-SardorNeural | + | Vietnamese (Vietnam) | vi-VN | Female | vi-VN-HoaiMyNeural | + | Vietnamese (Vietnam) | vi-VN | Male | vi-VN-NamMinhNeural | + | Welsh (United Kingdom) | cy-GB | Female | cy-GB-NiaNeural | + | Welsh (United Kingdom) | cy-GB | Male | cy-GB-AledNeural | + | Zulu (South Africa) | zu-ZA | Female | zu-ZA-ThandoNeural | + | Zulu (South Africa) | zu-ZA | Male | zu-ZA-ThembaNeural | + version: 0.1.0 + x-subscribelink: text-to-speech_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3000 characters/Call + x-inputfilelimit: |+ + Process up to 3000 characters of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 3000 characters. + x-apidetailsdesc: |+ + Converts text to speech in a different voices. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 22, 2022" +paths: + /microservices/voice/atts/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + audio_content: UklGRja3AQBXQVZFZm10IBIAAAABAAEAgD4AAAB9AAACABAAAABkYXRhELcBAP3/+P8AAAEA + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + audio_content: + description: Base64 string of the generated audio from input text + example: UklGRja3AQBXQVZFZm10IBIAAAABAAEAgD4AAAB9AAACABAAAABkYXRhELcBAP3/+P8AAAEA + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Mar 22,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - input_text + - text_language + - voice_name + + properties: + text: + x-name: text + type: string + default: True + example: I want a credit card. + description: |+ + Input text to be synthesised. + text_language: + x-name: text_language + type: string + default: True + example: en-US + description: |+ + Select the input text language from the above mentioned table. + voice_name: + x-name: voice_name + type: string + default: True + example: en-US-JennyNeural + description: |+ + Select the voice name from the above mentioned table for the output audio. + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 2407888236808bd293ce5e9e2dc7d1efc12d0fec Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 09:40:12 +0530 Subject: [PATCH 3791/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index b0d369b52..d42def70a 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -307,7 +307,7 @@ info: | Zulu (South Africa) | zu-ZA | Female | zu-ZA-ThandoNeural | | Zulu (South Africa) | zu-ZA | Male | zu-ZA-ThembaNeural | version: 0.1.0 - x-subscribelink: text-to-speech_eng + x-subscribelink: azure_tts x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 3000 characters/Call From 5ad87d1c21cbb1a3e413ed60f835b5816383e54a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 10:13:26 +0530 Subject: [PATCH 3792/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index d42def70a..7df51e9be 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -310,15 +310,15 @@ info: x-subscribelink: azure_tts x-apitype: small file x-apitypedescription: |+ - Fast | Single-Call | 3000 characters/Call + Fast | Single-Call | 400 characters/Call x-inputfilelimit: |+ - Process up to 3000 characters of data per API call. + Process up to 400 characters of data per API call. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 3000 characters. + Limit cannot exceed 400 characters. x-apidetailsdesc: |+ Converts text to speech in a different voices. servers: From 85e439da38e442e8a22d1f399decddd6ff6ef65d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 10:20:22 +0530 Subject: [PATCH 3793/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index ae03de917..5c118c047 100644 --- a/index.yaml +++ b/index.yaml @@ -62,6 +62,10 @@ voice: title: Text-To-Speech ENG NCS versions: 0.1.0: 'text-to-speech_eng_ncs.yaml' + azure_tts: + title: Azure TTS + versions: + 0.1.0: 'azure_tts.yaml' asr_with_voice_activity_detection_eng: title: ASR with Voice Activity Detection ENG versions: From 121beadd46c3066f2caefc1f46ea52163f0a58c7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 10:35:49 +0530 Subject: [PATCH 3794/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 7df51e9be..f2a1ebe2e 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -7,6 +7,7 @@ info: The input text should not exceed **400 characters**. x-additionalinfo: |+ + Supported languages are: | **Name** | **Locale** | **Gender** | **Voice name** | |:-------------------------------------------:|:------------------:|:----------------:|:-----------------------:| | Afrikaans (South Africa) | af-ZA | Female | af-ZA-AdriNeural | @@ -530,7 +531,7 @@ components: - voice_name properties: - text: + input_text: x-name: text type: string default: True @@ -543,14 +544,14 @@ components: default: True example: en-US description: |+ - Select the input text language from the above mentioned table. + Select the input text language from the supported language table. voice_name: x-name: voice_name type: string default: True example: en-US-JennyNeural description: |+ - Select the voice name from the above mentioned table for the output audio. + Select the voice name from the supported language table for the output audio. securitySchemes: APIAuthorizer: From f3c809321e8da5aac1a97ecbc284b38a3f18a903 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 10:37:27 +0530 Subject: [PATCH 3795/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index f2a1ebe2e..5ea8e07cb 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -532,7 +532,7 @@ components: properties: input_text: - x-name: text + x-name: input_text type: string default: True example: I want a credit card. From c82ce62b1dd2814bbce73f73abaf300f82850458 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 14:22:43 +0530 Subject: [PATCH 3796/5916] Rename amenities_hardcourts_hdb_sg.yaml to amenities_hardcourts_hdb_sg_v1.yaml --- ...hardcourts_hdb_sg.yaml => amenities_hardcourts_hdb_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{amenities_hardcourts_hdb_sg.yaml => amenities_hardcourts_hdb_sg_v1.yaml} (100%) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg_v1.yaml similarity index 100% rename from data/amenities_hardcourts_hdb_sg.yaml rename to data/amenities_hardcourts_hdb_sg_v1.yaml From a88dd2415eefa8edbb1194d609bf31d776f16559 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 14:23:51 +0530 Subject: [PATCH 3797/5916] Create amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 346 ++++++++++++++++++++++++++ 1 file changed, 346 insertions(+) create mode 100644 data/amenities_hardcourts_hdb_sg.yaml diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml new file mode 100644 index 000000000..cbc669f3a --- /dev/null +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -0,0 +1,346 @@ +openapi: 3.0.1 +info: + title: HDB Hardcourts Locations (SG) + x-subscribelink: amenities_hardcourts_hdb_sg + description: |+ + This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data. + This microservice contains information from LTA Datamall's Road Works dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"road_name":"arthur"}} + * **match** - Search within a full text field for a single word + > {"match":{"road_name":"arthur"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"end_date":{"gte":"now/d"}}} + > {"range":{"end_date":{"lte":"now+100d/d"}}} + > {"range":{"end_date":{"gte":"now/d","lte":"now+100d/d"}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"road_name"}} + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"road_name":"arthur"}}]}} + > {"bool":{"must":[{"match":{"road_name":"arthur"}}]}} + > {"bool":{"should":[{"match":{"road_name":"arthur"}}]}} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 22, 2022" +paths: + /microservices/data/hardcourt/v2/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + total: 1 + results: + - _id: rminrm2020122140arthurroad + _index: lta_road_works + _score: 0 + _source: + end_date: '2021-12-29' + event_id: RMINRM-202012-2140 + lastupdated: '2021-07-26T04:24:16.409Z' + other: For details + road_name: ARTHUR ROAD + source: lta + start_date: '2020-12-30' + svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION + _type: dir_doc + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Feature" + description: type + properties: + type: object + example: {} + description: Json Object of returned results + properties: + FEATID: + type: integer + example: 128 + description: FEATID + LVL: + type: string + example: "GROUND LEVEL" + description: LVL + QUALITY: + type: string + example: "FULLY VISIBLE" + description: Quality + TYPE: + type: string + example: "HARDCOURT" + description: type + INC_CRC: + type: string + example: "6CBA10726FCF8D23" + description: inc_crc + FMEL_UPD_D: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Polygon" + description: type + coordinates: + type: array + items: + type: array + items: + type: number + example: 103.71618687465097 + 1.348193609950229 + description: coordinates + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 22, 2022 + x-details: Data structure changed + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match":{"road_name":"arthur"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * exists + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 275b6f37fa4f37835b4f728d125d70eabdf7e747 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 14:25:47 +0530 Subject: [PATCH 3798/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 5c118c047..0d48f100e 100644 --- a/index.yaml +++ b/index.yaml @@ -362,7 +362,8 @@ data: amenities_hardcourts_hdb_sg: title: HDB Hardcourts Locations (SG) versions: - 1.0.0: 'amenities_hardcourts_hdb_sg.yaml' + 2.0.0: 'amenities_hardcourts_hdb_sg.yaml' + 1.0.0: 'amenities_hardcourts_hdb_sg_v1.yaml' amenities_shelters_hdb_sg: title: HDB Shelters Locations (SG) versions: From 3be9fadf2ee54d2830328136d396b09a2ed451a8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 14:39:02 +0530 Subject: [PATCH 3799/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index cbc669f3a..a90b6a731 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -23,7 +23,7 @@ info: > {"bool":{"must":[{"match":{"road_name":"arthur"}}]}} > {"bool":{"should":[{"match":{"road_name":"arthur"}}]}} - version: '0.1.0' + version: '2.0.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -40,13 +40,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v2.0.0" description: "Published Date - Mar 22, 2022" paths: /microservices/data/hardcourt/v2/getdata: post: tags: - - v0.1.0 + - v2.0.0 responses: '200': description: Ok From 62e6315cd4624944beb1addb0f4061612ab412ce Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 14:48:26 +0530 Subject: [PATCH 3800/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index a90b6a731..6819e07cc 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -38,7 +38,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" From fcbeff922358d66ff98931c849e5784b10f15c6f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 14:51:03 +0530 Subject: [PATCH 3801/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 14 +++++--------- 1 file changed, 5 insertions(+), 9 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 6819e07cc..46e6e0943 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -9,19 +9,15 @@ info: **Match Types:** A match type is a match operator. The supported match types are: * **match_phrase** - Search within a full text field - > {"match_phrase":{"road_name":"arthur"}} + > {"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}} * **match** - Search within a full text field for a single word - > {"match":{"road_name":"arthur"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"end_date":{"gte":"now/d"}}} - > {"range":{"end_date":{"lte":"now+100d/d"}}} - > {"range":{"end_date":{"gte":"now/d","lte":"now+100d/d"}}} + > {"match":{"properties.QUALITY":"FULLY VISIBLE"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"road_name"}} * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"road_name":"arthur"}}]}} - > {"bool":{"must":[{"match":{"road_name":"arthur"}}]}} - > {"bool":{"should":[{"match":{"road_name":"arthur"}}]}} + > {"bool":{"must_not":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}}]}} version: '2.0.0' x-apitype: small file From 194ecd27e8fcc485ce43c6b5a49d7604e26bbf86 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:00:29 +0530 Subject: [PATCH 3802/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 46e6e0943..c870196b5 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -325,14 +325,12 @@ components: default: false items: type: object - example: [{"match":{"road_name":"arthur"}}] + example: [{"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}}] description: |+ Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase - * range * exists - securitySchemes: APIAuthorizer: type: apiKey From 777c0f43bf35167531d217584abbe4c35615dc10 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:24:24 +0530 Subject: [PATCH 3803/5916] Rename amenities_lamp_posts_hdb_sg.yaml to amenities_lamp_posts_hdb_sg_v1.yaml --- ...lamp_posts_hdb_sg.yaml => amenities_lamp_posts_hdb_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{amenities_lamp_posts_hdb_sg.yaml => amenities_lamp_posts_hdb_sg_v1.yaml} (100%) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg_v1.yaml similarity index 100% rename from data/amenities_lamp_posts_hdb_sg.yaml rename to data/amenities_lamp_posts_hdb_sg_v1.yaml From 6704073b5c1e1732f410943c921e33ccbe7b93f6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:30:51 +0530 Subject: [PATCH 3804/5916] Create amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 337 ++++++++++++++++++++++++++ 1 file changed, 337 insertions(+) create mode 100644 data/amenities_lamp_posts_hdb_sg.yaml diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml new file mode 100644 index 000000000..2da433137 --- /dev/null +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -0,0 +1,337 @@ +openapi: 3.0.1 +info: + title: HDB Fitness Stations and Playgrounds (SG) + x-subscribelink: fitness_stations_and_playgrounds_hdb_sg + description: |+ + This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data. + This microservice contains information from LTA Datamall's Road Works dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}} + * **match** - Search within a full text field for a single word + > {"match":{"properties.QUALITY":"FULLY VISIBLE"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"road_name"}} + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}}]}} + + version: '2.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - Mar 22, 2022" +paths: + /microservices/data/fitnessstationplaygrnd/v2/getdata: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + total: 1 + results: + - _id: rminrm2020122140arthurroad + _index: lta_road_works + _score: 0 + _source: + end_date: '2021-12-29' + event_id: RMINRM-202012-2140 + lastupdated: '2021-07-26T04:24:16.409Z' + other: For details + road_name: ARTHUR ROAD + source: lta + start_date: '2020-12-30' + svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION + _type: dir_doc + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Feature" + description: type + properties: + type: object + example: {} + description: Json Object of returned results + properties: + FEATID: + type: integer + example: 312 + description: FEATID + LVL: + type: string + example: "GROUND LEVEL" + description: LVL + QUALITY: + type: string + example: "FULLY VISIBLE" + description: Quality + TYPE: + type: string + example: "FITTNESS STATION / PLAYGROUND" + description: type + INC_CRC: + type: string + example: "A96A55E334CF84C1" + description: inc_crc + geometry: + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Polygon" + description: type + coordinates: + type: array + items: + type: array + items: + type: number + example: 103.71618687465097 + 1.348193609950229 + description: coordinates + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 22, 2022 + x-details: Data structure changed + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + limit: + type: number + default: false + example: 10000 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * exists + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 4be86db0e1daf7babb92f5eb842191a6603ed3e3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:31:25 +0530 Subject: [PATCH 3805/5916] Rename amenities_shelters_hdb_sg.yaml to amenities_shelters_hdb_sg_v1.yaml --- ...ies_shelters_hdb_sg.yaml => amenities_shelters_hdb_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{amenities_shelters_hdb_sg.yaml => amenities_shelters_hdb_sg_v1.yaml} (100%) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg_v1.yaml similarity index 100% rename from data/amenities_shelters_hdb_sg.yaml rename to data/amenities_shelters_hdb_sg_v1.yaml From 7346ad40486c86b87c9511ab2fc98d97175c15c6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:32:37 +0530 Subject: [PATCH 3806/5916] Create amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 331 ++++++++++++++++++++++++++++ 1 file changed, 331 insertions(+) create mode 100644 data/amenities_shelters_hdb_sg.yaml diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml new file mode 100644 index 000000000..53560bba1 --- /dev/null +++ b/data/amenities_shelters_hdb_sg.yaml @@ -0,0 +1,331 @@ +openapi: 3.0.1 +info: + title: HDB Shelters Locations (SG) + x-subscribelink: amenities_shelters_hdb_sg + description: |+ + This Data microservice returns the indicative outline of shelters for all Housing Development Board (HDB) Towns and Estates and only on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from SLA (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. Precinct Pavilions are not included in this microservice. + A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"road_name":"arthur"}} + * **match** - Search within a full text field for a single word + > {"match":{"road_name":"arthur"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"end_date":{"gte":"now/d"}}} + > {"range":{"end_date":{"lte":"now+100d/d"}}} + > {"range":{"end_date":{"gte":"now/d","lte":"now+100d/d"}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"road_name"}} + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"road_name":"arthur"}}]}} + > {"bool":{"must":[{"match":{"road_name":"arthur"}}]}} + > {"bool":{"should":[{"match":{"road_name":"arthur"}}]}} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Feb 01, 2022" +paths: + /microservices/data/shelter/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + total: 1 + results: + - _id: rminrm2020122140arthurroad + _index: lta_road_works + _score: 0 + _source: + end_date: '2021-12-29' + event_id: RMINRM-202012-2140 + lastupdated: '2021-07-26T04:24:16.409Z' + other: For details + road_name: ARTHUR ROAD + source: lta + start_date: '2020-12-30' + svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION + _type: dir_doc + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Feature" + description: type + properties: + type: object + example: {} + description: Json Object of returned results + properties: + FEATID: + type: integer + example: 32 + description: FEATID + LVL: + type: string + example: "GROUND LEVEL" + description: LVL + QUALITY: + type: string + example: "PARTIALLY VISIBLE" + description: Quality + TYPE: + type: string + example: "SHELTER" + description: type + INC_CRC: + type: string + example: "47C214E0ED444693" + description: inc_crc + FMEL_UPD_D: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Polygon" + description: type + coordinates: + type: array + items: + type: array + items: + type: number + example: 103.71618687465097 + 1.348193609950229 + description: coordinates + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 01, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match":{"road_name":"arthur"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * exists + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 584b1d5b7d31381127745f4911c1f27b37bd92a8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:34:56 +0530 Subject: [PATCH 3807/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 31 ++++++++++++++++----------- 1 file changed, 18 insertions(+), 13 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 2da433137..f5badf95f 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -1,10 +1,11 @@ openapi: 3.0.1 info: - title: HDB Fitness Stations and Playgrounds (SG) - x-subscribelink: fitness_stations_and_playgrounds_hdb_sg + title: HDB Lamp Posts Locations (SG) + x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ - This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data. - This microservice contains information from LTA Datamall's Road Works dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. + A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo : |+ **Match Types:** A match type is a match operator. The supported match types are: @@ -39,7 +40,7 @@ tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" paths: - /microservices/data/fitnessstationplaygrnd/v2/getdata: + /microservices/data/lamppost/v0/getdata: post: tags: - v2.0.0 @@ -159,7 +160,7 @@ components: properties: FEATID: type: integer - example: 312 + example: 8888 description: FEATID LVL: type: string @@ -167,16 +168,20 @@ components: description: LVL QUALITY: type: string - example: "FULLY VISIBLE" + example: "PARTIALLY VISIBLE" description: Quality TYPE: type: string - example: "FITTNESS STATION / PLAYGROUND" + example: "LAMP POST" description: type INC_CRC: type: string - example: "A96A55E334CF84C1" + example: "B2485B94230255EC" description: inc_crc + FMEL_UPD_D: + type: string + example: "2018-06-29" + description: fmel_upd_d geometry: type: object example: {} @@ -184,7 +189,7 @@ components: properties: type: type: string - example: "Polygon" + example: "Point" description: type coordinates: type: array @@ -277,7 +282,7 @@ components: type: string example: Failure versions: - type: object + type: object properties: v2.0.0: type: array @@ -302,14 +307,14 @@ components: - type: string example: Published Date - Mar 24, 2020 x-details: Initial version release - description: Archived + description: Archived input: type: object properties: limit: type: number default: false - example: 10000 + example: 10 description: The max records to return for the request. Default - 0, Max - 10000 offset: type: number From 059dacc9dfb9e813fd3dc9e3eb7a6465bab420ca Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:36:35 +0530 Subject: [PATCH 3808/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 45 ++++++++++++++++++----------- 1 file changed, 28 insertions(+), 17 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 53560bba1..6d45f15e0 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -10,21 +10,17 @@ info: **Match Types:** A match type is a match operator. The supported match types are: * **match_phrase** - Search within a full text field - > {"match_phrase":{"road_name":"arthur"}} + > {"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}} * **match** - Search within a full text field for a single word - > {"match":{"road_name":"arthur"}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"end_date":{"gte":"now/d"}}} - > {"range":{"end_date":{"lte":"now+100d/d"}}} - > {"range":{"end_date":{"gte":"now/d","lte":"now+100d/d"}}} + > {"match":{"properties.QUALITY":"FULLY VISIBLE"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"road_name"}} * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"road_name":"arthur"}}]}} - > {"bool":{"must":[{"match":{"road_name":"arthur"}}]}} - > {"bool":{"should":[{"match":{"road_name":"arthur"}}]}} + > {"bool":{"must_not":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}}]}} - version: '0.1.0' + version: '2.0.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -41,13 +37,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" +- name: "v2.0.0" + description: "Published Date - Mar 22, 2022" paths: /microservices/data/shelter/v0/getdata: post: tags: - - v0.1.0 + - v2.0.0 responses: '200': description: Ok @@ -288,14 +284,30 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 22, 2022 + x-details: Data structure changed + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Archived v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Feb 01, 2022 + example: Published Date - Mar 24, 2020 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: @@ -314,12 +326,11 @@ components: default: false items: type: object - example: [{"match":{"road_name":"arthur"}}] + example: [{"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}}] description: |+ Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase - * range * exists securitySchemes: From f3d690c84e49ef318577784ff5da9ca8c80aaccc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:37:06 +0530 Subject: [PATCH 3809/5916] Rename fitness_stations_and_playgrounds_hdb_sg.yaml to fitness_stations_and_playgrounds_hdb_sg._v1yaml --- ...db_sg.yaml => fitness_stations_and_playgrounds_hdb_sg._v1yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{fitness_stations_and_playgrounds_hdb_sg.yaml => fitness_stations_and_playgrounds_hdb_sg._v1yaml} (100%) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg._v1yaml similarity index 100% rename from data/fitness_stations_and_playgrounds_hdb_sg.yaml rename to data/fitness_stations_and_playgrounds_hdb_sg._v1yaml From 0ae42021e1b6e0eb7b571c55c8c333ac73d4ce2d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:37:38 +0530 Subject: [PATCH 3810/5916] Create fitness_stations_and_playgrounds_hdb_sg.yaml --- ...tness_stations_and_playgrounds_hdb_sg.yaml | 337 ++++++++++++++++++ 1 file changed, 337 insertions(+) create mode 100644 data/fitness_stations_and_playgrounds_hdb_sg.yaml diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml new file mode 100644 index 000000000..2da433137 --- /dev/null +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -0,0 +1,337 @@ +openapi: 3.0.1 +info: + title: HDB Fitness Stations and Playgrounds (SG) + x-subscribelink: fitness_stations_and_playgrounds_hdb_sg + description: |+ + This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data. + This microservice contains information from LTA Datamall's Road Works dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}} + * **match** - Search within a full text field for a single word + > {"match":{"properties.QUALITY":"FULLY VISIBLE"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"road_name"}} + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}}]}} + + version: '2.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - Mar 22, 2022" +paths: + /microservices/data/fitnessstationplaygrnd/v2/getdata: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + total: 1 + results: + - _id: rminrm2020122140arthurroad + _index: lta_road_works + _score: 0 + _source: + end_date: '2021-12-29' + event_id: RMINRM-202012-2140 + lastupdated: '2021-07-26T04:24:16.409Z' + other: For details + road_name: ARTHUR ROAD + source: lta + start_date: '2020-12-30' + svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION + _type: dir_doc + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Feature" + description: type + properties: + type: object + example: {} + description: Json Object of returned results + properties: + FEATID: + type: integer + example: 312 + description: FEATID + LVL: + type: string + example: "GROUND LEVEL" + description: LVL + QUALITY: + type: string + example: "FULLY VISIBLE" + description: Quality + TYPE: + type: string + example: "FITTNESS STATION / PLAYGROUND" + description: type + INC_CRC: + type: string + example: "A96A55E334CF84C1" + description: inc_crc + geometry: + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Polygon" + description: type + coordinates: + type: array + items: + type: array + items: + type: number + example: 103.71618687465097 + 1.348193609950229 + description: coordinates + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 22, 2022 + x-details: Data structure changed + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + limit: + type: number + default: false + example: 10000 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * exists + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From f3f37818fc9963e31d3de96a3d419f6efb2cdb43 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:42:33 +0530 Subject: [PATCH 3811/5916] Update index.yaml --- index.yaml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index 0d48f100e..a10faf699 100644 --- a/index.yaml +++ b/index.yaml @@ -354,11 +354,13 @@ data: fitness_stations_and_playgrounds_hdb_sg: title: HDB Fitness Stations and Playgrounds (SG) versions: - 1.0.0: 'fitness_stations_and_playgrounds_hdb_sg.yaml' + 2.0.0: 'fitness_stations_and_playgrounds_hdb_sg.yaml' + 1.0.0: 'fitness_stations_and_playgrounds_hdb_sg_v1.yaml' amenities_lamp_posts_hdb_sg: title: HDB Lamp Posts Locations (SG) versions: - 1.0.0: 'amenities_lamp_posts_hdb_sg.yaml' + 2.0.0: 'amenities_lamp_posts_hdb_sg.yaml' + 1.0.0: 'amenities_lamp_posts_hdb_sg_v1.yaml' amenities_hardcourts_hdb_sg: title: HDB Hardcourts Locations (SG) versions: @@ -367,7 +369,8 @@ data: amenities_shelters_hdb_sg: title: HDB Shelters Locations (SG) versions: - 1.0.0: 'amenities_shelters_hdb_sg.yaml' + 2.0.0: 'amenities_shelters_hdb_sg.yaml' + 1.0.0: 'amenities_shelters_hdb_sg_v1.yaml' d&b_business_check_plus_sg: title: D&B Business Check Plus (SG) versions: From 88120117ab1abb5f0245d021a5cbbf9057e16640 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:42:49 +0530 Subject: [PATCH 3812/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index f5badf95f..3989a6e21 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -40,7 +40,7 @@ tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" paths: - /microservices/data/lamppost/v0/getdata: + /microservices/data/lamppost/v2/getdata: post: tags: - v2.0.0 From 56c94c546eeb76b79113482f2c47032005bf55f7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 15:43:03 +0530 Subject: [PATCH 3813/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 6d45f15e0..eaee88d75 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -40,7 +40,7 @@ tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" paths: - /microservices/data/shelter/v0/getdata: + /microservices/data/shelter/v2/getdata: post: tags: - v2.0.0 From ec9720cd5af4bedd7521b1ba941fba015858328d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:11:44 +0530 Subject: [PATCH 3814/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 48 +++++++++++++++++++-------- 1 file changed, 34 insertions(+), 14 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index c870196b5..025bfff9b 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -52,22 +52,42 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - total: 1 results: - - _id: rminrm2020122140arthurroad - _index: lta_road_works - _score: 0 - _source: - end_date: '2021-12-29' - event_id: RMINRM-202012-2140 - lastupdated: '2021-07-26T04:24:16.409Z' - other: For details - road_name: ARTHUR ROAD - source: lta - start_date: '2020-12-30' - svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION - _type: dir_doc + hits: + - _id: d5pNsH8B1VPRFDGbTafY + _index: hdb_map_index + _score: 0 + _source: + geometry: + coordinates: + - - - 103.75898806278323 + - 1.35076246656039 + - - 103.75904274102436 + - 1.350768674890894 + - - 103.75905820988616 + - 1.350646753578955 + - - 103.75900152607664 + - 1.350639871436288 + - - 103.75898806278323 + - 1.35076246656039 + type: Polygon + lastupdated: '2022-03-22T14:25:29.452Z' + properties: + FEATID: 129 + FMEL_UPD_D: '2018-06-29' + INC_CRC: C70C5D2A82FCBDC2 + LVL: GROUND LEVEL + QUALITY: FULLY VISIBLE + TYPE: HARDCOURT + property_type: HARDCOURT + type: Polygon + unique_id: 129c70c5d2a82fcbdc2 + _type: doc + max_score: 0 + total: 971 + scroll_id: DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAInuFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACJ7RZHeWxGN1VqalJqcUxpOUgzMU1BeV9nAAAAAAAAie8WR3lsRjdVampSanFMaTlIMzFNQXlfZwAAAAAAAInwFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACJ8RZHeWxGN1VqalJqcUxpOUgzMU1BeV9n status: Success + '401': description: Unauthorized content: From 051ffeeb919b56680edb6c2c8b23eb658f2413c3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:13:00 +0530 Subject: [PATCH 3815/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 3989a6e21..412054c21 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -35,7 +35,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" From 3e64b4ce2dff0b6aa0b84d3457f632ed24887ab3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:13:17 +0530 Subject: [PATCH 3816/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index eaee88d75..f419fc5c1 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -35,7 +35,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" From 0913d50b187640bbb7af8638f995f6a40ffff6ea Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:13:35 +0530 Subject: [PATCH 3817/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 2da433137..3b0df713e 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -34,7 +34,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" From 902372a9d99859f67154e229581ca750e549e2f9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:15:48 +0530 Subject: [PATCH 3818/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 111 ++++++++++++++++++++++++---- 1 file changed, 97 insertions(+), 14 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index f419fc5c1..8527a214f 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -53,21 +53,104 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - total: 1 results: - - _id: rminrm2020122140arthurroad - _index: lta_road_works - _score: 0 - _source: - end_date: '2021-12-29' - event_id: RMINRM-202012-2140 - lastupdated: '2021-07-26T04:24:16.409Z' - other: For details - road_name: ARTHUR ROAD - source: lta - start_date: '2020-12-30' - svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION - _type: dir_doc + hits: + - _id: yJtNsH8B1VPRFDGb9AbO + _index: hdb_map_index + _score: 0 + _source: + geometry: + coordinates: + - - - 103.83896370719248 + - 1.379917141038405 + - - 103.8389617689625 + - 1.379914774321904 + - - 103.83895945063658 + - 1.379912782917438 + - - 103.83895682499933 + - 1.379911226512886 + - - 103.83895397022681 + - 1.379910153039367 + - - 103.83895097348078 + - 1.379909594149399 + - - 103.83894792551727 + - 1.379909567930089 + - - 103.838944919788 + - 1.37991007438118 + - - 103.8389420479475 + - 1.379911099032636 + - - 103.83893939536021 + - 1.379912609327147 + - - 103.83893704379629 + - 1.379914560950682 + - - 103.83893506514151 + - 1.379916893310656 + - - 103.83893351870162 + - 1.379919536770902 + - - 103.83893245210083 + - 1.379922409938516 + - - 103.83893189678908 + - 1.379925425994456 + - - 103.8389318707376 + - 1.379928492693536 + - - 103.8389323739462 + - 1.379931517790612 + - - 103.83893339203745 + - 1.379934409040575 + - - 103.83893489356107 + - 1.37993707872015 + - - 103.83893683179102 + - 1.379939444532327 + - - 103.83893915011696 + - 1.379941436841178 + - - 103.83894177575425 + - 1.379942993245732 + - - 103.8389446305268 + - 1.379944066719282 + - - 103.83894762727286 + - 1.379944624704878 + - - 103.83895067433784 + - 1.379944651828569 + - - 103.83895368006714 + - 1.379944144473109 + - - 103.83895655280627 + - 1.379943120725983 + - - 103.83895920539358 + - 1.37994160952709 + - - 103.83896155695751 + - 1.379939657903533 + - - 103.83896353561228 + - 1.379937325543537 + - - 103.83896508205216 + - 1.379934682987635 + - - 103.83896614865289 + - 1.379931809820024 + - - 103.83896670396462 + - 1.379928793764076 + - - 103.83896673001604 + - 1.379925726160616 + - - 103.83896622590883 + - 1.379922701063549 + - - 103.83896520871612 + - 1.379919809813615 + - - 103.83896370719248 + - 1.379917141038405 + type: Polygon + lastupdated: '2022-03-22T14:26:12.134Z' + properties: + FEATID: 32 + FMEL_UPD_D: '2018-06-29' + INC_CRC: 47C214E0ED444693 + LVL: GROUND LEVEL + QUALITY: PARTIALLY VISIBLE + TYPE: SHELTER + property_type: SHELTER + type: Polygon + unique_id: 3247c214e0ed444693 + _type: doc + max_score: 0 + total: 1582 + scroll_id: DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAInzFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACJ8hZHeWxGN1VqalJqcUxpOUgzMU1BeV9nAAAAAAAAifQWR3lsRjdVampSanFMaTlIMzFNQXlfZwAAAAAAAIn1Fkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACJ9hZHeWxGN1VqalJqcUxpOUgzMU1BeV9n status: Success '401': description: Unauthorized From 77897217b3d2249a828d111bf57bb00b8f5ed548 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:18:38 +0530 Subject: [PATCH 3819/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 39 +++++++++++++++++---------- 1 file changed, 25 insertions(+), 14 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 412054c21..bc345da2a 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -53,21 +53,32 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - total: 1 results: - - _id: rminrm2020122140arthurroad - _index: lta_road_works - _score: 0 - _source: - end_date: '2021-12-29' - event_id: RMINRM-202012-2140 - lastupdated: '2021-07-26T04:24:16.409Z' - other: For details - road_name: ARTHUR ROAD - source: lta - start_date: '2020-12-30' - svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION - _type: dir_doc + hits: + - _id: 4ZpNsH8B1VPRFDGbjLoe + _index: hdb_map_index + _score: 0 + _source: + geometry: + coordinates: + - 103.82709969896652 + - 1.284112489206572 + type: Point + lastupdated: '2022-03-22T14:25:40.805Z' + properties: + FEATID: 12888 + FMEL_UPD_D: '2018-06-29' + INC_CRC: B36680519553298F + LVL: GROUND LEVEL + QUALITY: PARTIALLY VISIBLE + TYPE: LAMP POST + property_type: LAMP POST + type: Point + unique_id: 12888b36680519553298f + _type: doc + max_score: 0 + total: 23431 + scroll_id: DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAIoSFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKExZHeWxGN1VqalJqcUxpOUgzMU1BeV9nAAAAAAAAihQWR3lsRjdVampSanFMaTlIMzFNQXlfZwAAAAAAAIoVFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKFhZHeWxGN1VqalJqcUxpOUgzMU1BeV9n status: Success '401': description: Unauthorized From 068b692054bbe8272545b6af42e67e471f4ce0b0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:19:44 +0530 Subject: [PATCH 3820/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- ...tness_stations_and_playgrounds_hdb_sg.yaml | 39 ++++++++++++------- 1 file changed, 25 insertions(+), 14 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 3b0df713e..414682076 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -52,21 +52,32 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - total: 1 results: - - _id: rminrm2020122140arthurroad - _index: lta_road_works - _score: 0 - _source: - end_date: '2021-12-29' - event_id: RMINRM-202012-2140 - lastupdated: '2021-07-26T04:24:16.409Z' - other: For details - road_name: ARTHUR ROAD - source: lta - start_date: '2020-12-30' - svcdept: SINGTEL - ACCESS NETWORK ENGINEERING DIVISION - _type: dir_doc + hits: + - _id: 4ZpNsH8B1VPRFDGbjLoe + _index: hdb_map_index + _score: 0 + _source: + geometry: + coordinates: + - 103.82709969896652 + - 1.284112489206572 + type: Point + lastupdated: '2022-03-22T14:25:40.805Z' + properties: + FEATID: 12888 + FMEL_UPD_D: '2018-06-29' + INC_CRC: B36680519553298F + LVL: GROUND LEVEL + QUALITY: PARTIALLY VISIBLE + TYPE: LAMP POST + property_type: LAMP POST + type: Point + unique_id: 12888b36680519553298f + _type: doc + max_score: 0 + total: 23431 + scroll_id: DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAIoXFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKGBZHeWxGN1VqalJqcUxpOUgzMU1BeV9nAAAAAAAAihkWR3lsRjdVampSanFMaTlIMzFNQXlfZwAAAAAAAIoaFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKGxZHeWxGN1VqalJqcUxpOUgzMU1BeV9n status: Success '401': description: Unauthorized From 33f9215f8046f66ba90d0b0fdd769569173a8ba9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:21:44 +0530 Subject: [PATCH 3821/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 414682076..87aa33748 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -288,7 +288,7 @@ components: type: string example: Failure versions: - type: object + type: object properties: v2.0.0: type: array From cdb62bbcc6adae57facbfe766e4df072dc6606f8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:30:04 +0530 Subject: [PATCH 3822/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 025bfff9b..85a271bf9 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -60,15 +60,15 @@ paths: _source: geometry: coordinates: - - - - 103.75898806278323 + - 103.75898806278323 - 1.35076246656039 - - - 103.75904274102436 + - 103.75904274102436 - 1.350768674890894 - - - 103.75905820988616 + - 103.75905820988616 - 1.350646753578955 - - - 103.75900152607664 + - 103.75900152607664 - 1.350639871436288 - - - 103.75898806278323 + - 103.75898806278323 - 1.35076246656039 type: Polygon lastupdated: '2022-03-22T14:25:29.452Z' From 8a3f513c8ef3511797e359450ade626fa6bbd020 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:32:11 +0530 Subject: [PATCH 3823/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 74 +++++++++++------------------ 1 file changed, 29 insertions(+), 45 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 8527a214f..b07a3d9d8 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -61,80 +61,64 @@ paths: _source: geometry: coordinates: - - - - 103.83896370719248 + - 103.83896370719248 - 1.379917141038405 - - - 103.8389617689625 + - 103.8389617689625 - 1.379914774321904 - - - 103.83895945063658 + - 103.83895945063658 - 1.379912782917438 - - - 103.83895682499933 + - 103.83895682499933 - 1.379911226512886 - - - 103.83895397022681 + - 103.83895397022681 - 1.379910153039367 - - - 103.83895097348078 + - 103.83895097348078 - 1.379909594149399 - - - 103.83894792551727 + - 103.83894792551727 - 1.379909567930089 - - - 103.838944919788 + - 103.838944919788 - 1.37991007438118 - - - 103.8389420479475 + - 103.8389420479475 - 1.379911099032636 - - - 103.83893939536021 + - 103.83893939536021 - 1.379912609327147 - - - 103.83893704379629 + - 103.83893704379629 - 1.379914560950682 - - - 103.83893506514151 + - 103.83893506514151 - 1.379916893310656 - - - 103.83893351870162 + - 103.83893351870162 - 1.379919536770902 - - - 103.83893245210083 + - 103.83893245210083 - 1.379922409938516 - - - 103.83893189678908 + - 103.83893189678908 - 1.379925425994456 - - - 103.8389318707376 + - 103.8389318707376 - 1.379928492693536 - - - 103.8389323739462 + - 103.8389323739462 - 1.379931517790612 - - - 103.83893339203745 + - 103.83893339203745 - 1.379934409040575 - - - 103.83893489356107 + - 103.83893489356107 - 1.37993707872015 - - - 103.83893683179102 + - 103.83893683179102 - 1.379939444532327 - - - 103.83893915011696 + - 103.83893915011696 - 1.379941436841178 - - - 103.83894177575425 + - 103.83894177575425 - 1.379942993245732 - - - 103.8389446305268 + - 103.8389446305268 - 1.379944066719282 - - - 103.83894762727286 + - 103.83894762727286 - 1.379944624704878 - - - 103.83895067433784 + - 103.83895067433784 - 1.379944651828569 - - - 103.83895368006714 + - 103.83895368006714 - 1.379944144473109 - - - 103.83895655280627 + - 103.83895655280627 - 1.379943120725983 - - - 103.83895920539358 + - 103.83895920539358 - 1.37994160952709 - - - 103.83896155695751 + - 103.83896155695751 - 1.379939657903533 - - - 103.83896353561228 - - 1.379937325543537 - - - 103.83896508205216 - - 1.379934682987635 - - - 103.83896614865289 - - 1.379931809820024 - - - 103.83896670396462 - - 1.379928793764076 - - - 103.83896673001604 - - 1.379925726160616 - - - 103.83896622590883 - - 1.379922701063549 - - - 103.83896520871612 - - 1.379919809813615 - - - 103.83896370719248 - - 1.379917141038405 type: Polygon lastupdated: '2022-03-22T14:26:12.134Z' properties: From 5be7b22b3b72e7aba486a487187d82f346d74418 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:44:49 +0530 Subject: [PATCH 3824/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 85a271bf9..f17633fe1 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -3,8 +3,9 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data. - This microservice contains information from LTA Datamall's Road Works dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. + A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo : |+ **Match Types:** A match type is a match operator. The supported match types are: From d3d7496b2f674b6fdb59b2e0b8026bf500ac0d7b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:44:59 +0530 Subject: [PATCH 3825/5916] Rename fitness_stations_and_playgrounds_hdb_sg._v1yaml to fitness_stations_and_playgrounds_hdb_sg_v1yaml --- ..._sg._v1yaml => fitness_stations_and_playgrounds_hdb_sg_v1yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{fitness_stations_and_playgrounds_hdb_sg._v1yaml => fitness_stations_and_playgrounds_hdb_sg_v1yaml} (100%) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg._v1yaml b/data/fitness_stations_and_playgrounds_hdb_sg_v1yaml similarity index 100% rename from data/fitness_stations_and_playgrounds_hdb_sg._v1yaml rename to data/fitness_stations_and_playgrounds_hdb_sg_v1yaml From 2f68f1a74f110eeec8e98bee413a1f2df6fd18d8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:45:36 +0530 Subject: [PATCH 3826/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 87aa33748..da018bd93 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -3,8 +3,9 @@ info: title: HDB Fitness Stations and Playgrounds (SG) x-subscribelink: fitness_stations_and_playgrounds_hdb_sg description: |+ - This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data. - This microservice contains information from LTA Datamall's Road Works dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. + A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo : |+ **Match Types:** A match type is a match operator. The supported match types are: From f042fa955afa37a923722c16a3c6524f7a115f57 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:45:47 +0530 Subject: [PATCH 3827/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 96 +++++++++++++-------------------- 1 file changed, 36 insertions(+), 60 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 1d1324749..21d008470 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -86,24 +86,6 @@ components: type: string description: The message of the API call. example: Please begin by choosing Create/Modify Global parts on screen or Create/Modify Global parts by download/upload master. Alternatively, you can request support here[link to chatbot]. - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure servererror: type: object properties: @@ -135,50 +117,44 @@ components: description: Latest Version input: type: object - required: - - event_history properties: - event_history: - type: object + page_url: + type: string + default: true description: |+ - List of object - example: {} - properties: - page_url: - type: string - description: |+ - Page URL of getting suggestion - example: https://test.brivge.com/globalparts/create - time_interval: - type: string - description: |+ - Time interval of getting suggestion value will be greater than or equal to 60000 - example: 60000 - selected_mode: - type: string - description: |+ - Selected mode of getting suggestion - example: Create/Modify Global parts on screen - upload: - type: string - description: |+ - Upload of getting suggestion value will be greater than 0 - example: 1 - add_item: - type: string - description: |+ - Add Item of getting suggestion value will be greater than 0 - example: 1 - edit_item: - type: string - description: |+ - Edit item of getting suggestion value will be greater than 0 - example: 1 - first_prompt: - type: string - description: |+ - First prompt of getting suggestion value will be true/false - example: true/false + Page URL of getting suggestion + example: https://test.brivge.com/globalparts/create + time_interval: + type: string + default: true + description: |+ + Time interval of getting suggestion value will be greater than or equal to 60000 + example: 60000 + selected_mode: + type: string + description: |+ + Selected mode of getting suggestion + example: Create/Modify Global parts on screen + upload: + type: string + description: |+ + Upload of getting suggestion value will be greater than 0 + example: 1 + add_item: + type: string + description: |+ + Add Item of getting suggestion value will be greater than 0 + example: 1 + edit_item: + type: string + description: |+ + Edit item of getting suggestion value will be greater than 0 + example: 1 + first_prompt: + type: string + description: |+ + First prompt of getting suggestion value will be true/false + example: true/false securitySchemes: APIAuthorizer: type: apiKey From dd3e007936ec46b35e2455350030cfdb3ae4c8cf Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:46:26 +0530 Subject: [PATCH 3828/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 21d008470..9d28e48ef 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -58,8 +58,6 @@ paths: application/json: schema: $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] requestBody: content: application/json: From 893748e5c236d6ca1ef3c3454092a914353ab775 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 22 Mar 2022 16:47:09 +0530 Subject: [PATCH 3829/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 7 ------- 1 file changed, 7 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 9d28e48ef..308d8d908 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -153,10 +153,3 @@ components: description: |+ First prompt of getting suggestion value will be true/false example: true/false - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 0415aad874cb43468b7ccbbb89089d157fb987a8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 22 Mar 2022 17:33:44 +0530 Subject: [PATCH 3830/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 66d00f6fa..211fe796f 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -8,7 +8,7 @@ info: Suggested Use Cases: - This microservice can be used to add event and items to get recommendation. x-subscribelink: recommendation_engine - x-apitype: small file + x-apitype: latge file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call x-inputfilelimit: |+ From f86b2beb3bcf37bf80c609e45e3b33af6ade1764 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 22 Mar 2022 17:40:14 +0530 Subject: [PATCH 3831/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 211fe796f..28cd15f52 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -8,7 +8,7 @@ info: Suggested Use Cases: - This microservice can be used to add event and items to get recommendation. x-subscribelink: recommendation_engine - x-apitype: latge file + x-apitype: large file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call x-inputfilelimit: |+ From b4ff0eb5e2a0f9bafb54df2c332d4463dc2c67a9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 22 Mar 2022 18:05:58 +0530 Subject: [PATCH 3832/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 108 +++++++++++----------- 1 file changed, 53 insertions(+), 55 deletions(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 28cd15f52..d27a302b4 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -6,9 +6,9 @@ info: version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: - - This microservice can be used to add event and items to get recommendation. + - This microservice can be used to add item event and items to get recommendation. x-subscribelink: recommendation_engine - x-apitype: large file + x-apitype: latge file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call x-inputfilelimit: |+ @@ -592,11 +592,14 @@ components: Recommendation engine name example: sentient engine properties: - type: string + type: array default: true description: |+ The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. example: ["pagetile","description","pageurl"] + items: + oneOf: + - type: object retraineventinput: type: object required: @@ -612,7 +615,6 @@ components: type: object required: - engine_name - - item properties: engine_name: type: string @@ -622,59 +624,49 @@ components: example: sentient engine item: type: string - default: true - example: item1 + example: Book1 description: |+ Optional. It contains the unique item identifier item_bias: type: string - default: true - example: itemId1, itemId2 - description: |+ - Optional. This tells the recommender to return items similar to this the item specified. Use for "people who liked this also liked these". - item_set: - type: string - default: true - example: [] - description: |+ - Optional. It contains a list of unique item identifiers - item_set_bias: - type: string - default: true - example: -maxFloat/maxFloat + example: -1 description: |+ - Optional. Mixing itemSet queries with user and item queries is not recommended and it is difficult to predict what it will return in the final mixed results. + Optional. This tells the recommender to return items similar to this the item specified. + bias = -1: Include recommended items that match the rest of the Rule + bias = 0: Exclude recommended items that match the rest of the Rule + bias > 0: Boost recommended items that match the rest of the Rule by the bias value. offset: - type: string + type: number example: 0 description: |+ Rank/position to start returning recommendations from limit: - type: string + type: number example: 4 description: |+ Max number of recommendations to return rules: type: array - description: Array of fields values and biases to use in this query. + description: Array of field values and biases to use in this query. items: - type: object - properties: - name: - type: string - description: The "name" identifies the property name to match. - example: categories - values: - type: string - description: The "values" provide a list of values that the properties of the recommended items are matched against. - example: ["series", "mini-series"] - bias: - type: string - description: |+ - bias = -1: Include recommended items that match the rest of the Rule - bias = 0: Exclude recommended items that match the rest of the Rule - bias > 0: Boost recommended items that match the rest of the Rule by the bias value. - example: -1 + oneOf: + - type: object + properties: + name: + type: string + description: The "name" identifies the property name to match. + example: categories + values: + type: string + description: The "values" provide a list of values that the properties of the recommended items are matched against. + example: ["series", "mini-series"] + bias: + type: string + description: |+ + bias = -1: Include recommended items that match the rest of the Rule + bias = 0: Exclude recommended items that match the rest of the Rule + bias > 0: Boost recommended items that match the rest of the Rule by the bias value. + example: -1 date_range: type: object description: |+ @@ -683,20 +675,23 @@ components: name: type: string description: The "name" identifies the property name to match. - example: dateFieldname + example: eventTime before: type: string - description: The "name" identifies the property name to match. + description: The date range from example: 2015-09-15T11:28:45.114-07:00 after: type: string - description: The "name" identifies the property name to match. + description: The date range to example: 2015-08-15T11:28:45.114-07:00 blacklist_items: - type: string + type: array example: ["itemId1", "itemId2"] description: |+ It specifies event types this part of the query specifies individual items to remove from returned recommendations. + items: + oneOf: + - type: object return_self: type: string example: false @@ -706,7 +701,6 @@ components: type: object required: - engine_name - - user properties: engine_name: type: string @@ -716,23 +710,24 @@ components: example: sentient engine user: type: string - default: true example: User 10 description: |+ This is whatever string you use to identify a user. user_bias: type: string - default: true - example: -maxFloat/maxFloat + example: -1 description: |+ Optional. The user may be anonymous as long as the id is unique from any authenticated user. This tells the recommender to return recommendations based on the user's event history. Used for personalized recommendations. + bias = -1: Include recommended user that match the rest of the Rule + bias = 0: Exclude recommended user that match the rest of the Rule + bias > 0: Boost recommended user that match the rest of the Rule by the bias value. offset: - type: string + type: number example: 0 description: |+ Rank/position to start returning recommendations from limit: - type: string + type: number example: 4 description: |+ Max number of recommendations to return @@ -765,20 +760,23 @@ components: name: type: string description: The "name" identifies the property name to match. - example: dateFieldname + example: eventTime before: type: string - description: The "name" identifies the property name to match. + description: The date range from example: 2015-09-15T11:28:45.114-07:00 after: type: string - description: The "name" identifies the property name to match. + description: The date range to example: 2015-08-15T11:28:45.114-07:00 blacklist_items: - type: string + type: array example: ["itemId1", "itemId2"] description: |+ It specifies event types this part of the query specifies individual items to remove from returned recommendations. + items: + oneOf: + - type: object return_self: type: string example: false From 5593c61db0a3d2f71f639a786a901891c497cf6a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 22 Mar 2022 18:59:56 +0530 Subject: [PATCH 3833/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 308d8d908..4a4accd43 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Rule Engine description: |+ - It provides a core Business Rules Engine + It provides a suggestion based on the core business rules. version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: From f22465f9def54797c2d716818b3db39afb34f244 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 10:15:37 +0530 Subject: [PATCH 3834/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index d27a302b4..b8d082143 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -28,11 +28,11 @@ tags: description: "Published Date - Oct 30, 2020" paths: /readdevent/v0/getresults: + description: |+ + This API is used to add the event in recommendation engine post: tags: - v1.0.0 - description: - This API is used to add the event in recommendation engine responses: '200': description: Ok From e62712ed46529cac7ae006af6905de692fe5c527 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 10:18:23 +0530 Subject: [PATCH 3835/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 28 +++++++++++------------ 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index b8d082143..863e585ab 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -65,11 +65,11 @@ paths: $ref: '#/components/schemas/readdeventinput' required: true /readditem/v0/getresults: + description: |+ + This API is used to add the item and properties in recommendation engine post: tags: - v1.0.0 - description: - This API is used to add the item and properties in recommendation engine responses: '200': description: Ok @@ -102,11 +102,11 @@ paths: $ref: '#/components/schemas/readditeminput' required: true /redeleteevent/v0/getresults: + description: |+ + This API is used to delete the event in recommendation engine post: tags: - v1.0.0 - description: - This API is used to delete the event in recommendation engine responses: '200': description: Ok @@ -139,11 +139,11 @@ paths: $ref: '#/components/schemas/redeleteeventinput' required: true /reitem/v0/getresults: + description: |+ + This API is used to get recommendation based on the item post: tags: - v1.0.0 - description: - This API is used to get recommendation based on the item responses: '200': description: Ok @@ -185,11 +185,11 @@ paths: required: true /reuser/v0/getresults: + description: |+ + This API is used to get the recommendation based on the user post: tags: - v1.0.0 - description: - This API is used to get the recommendation based on the user responses: '200': description: Ok @@ -230,11 +230,11 @@ paths: $ref: '#/components/schemas/reuserinput' required: true /retrainengine/v0/getresults: + description: |+ + This API is used to train the recommendation engine post: tags: - v1.0.0 - description: - This API is used to train the recommendation engine responses: '200': description: Ok @@ -267,11 +267,11 @@ paths: $ref: '#/components/schemas/retraineventinput' required: true /rebulkuploadevent/v0/getresults: + description: |+ + This API is used to bulk upload the event in recommendation engine post: tags: - v1.0.0 - description: - This API is used to bulk upload the event in recommendation engine responses: '200': description: Ok @@ -305,11 +305,11 @@ paths: $ref: '#/components/schemas/rebulkuploadeventinput' required: true /rebulkuploaditem/v0/getresults: + description: |+ + This API is used to bulk upload the item and properties in recommendation engine post: tags: - v1.0.0 - description: - This API is used to bulk upload the item and properties in recommendation engine responses: '200': description: Ok From 9d3e4ba1b17053921ac02c2409b912dcdcef8776 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 12:46:51 +0530 Subject: [PATCH 3836/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 4a4accd43..91ac8cd09 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -58,6 +58,8 @@ paths: application/json: schema: $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] requestBody: content: application/json: @@ -153,3 +155,11 @@ components: description: |+ First prompt of getting suggestion value will be true/false example: true/false + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header + From 2bf090cc546c8bf890cb8149e93cf695552f0cfd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 13:17:41 +0530 Subject: [PATCH 3837/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 91ac8cd09..82fc2db02 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -4,9 +4,6 @@ info: description: |+ It provides a suggestion based on the core business rules. version: '1.0.0' - x-additionalinfo: |+ - Suggested Use Cases: - - This microservice can be used to add event and items to get recommendation. x-subscribelink: rule_engine x-apitype: small file x-apitypedescription: |+ @@ -125,7 +122,7 @@ components: Page URL of getting suggestion example: https://test.brivge.com/globalparts/create time_interval: - type: string + type: number default: true description: |+ Time interval of getting suggestion value will be greater than or equal to 60000 @@ -136,17 +133,17 @@ components: Selected mode of getting suggestion example: Create/Modify Global parts on screen upload: - type: string + type: number description: |+ Upload of getting suggestion value will be greater than 0 example: 1 add_item: - type: string + type: number description: |+ Add Item of getting suggestion value will be greater than 0 example: 1 edit_item: - type: string + type: number description: |+ Edit item of getting suggestion value will be greater than 0 example: 1 @@ -154,7 +151,7 @@ components: type: string description: |+ First prompt of getting suggestion value will be true/false - example: true/false + example: true securitySchemes: APIAuthorizer: type: apiKey From 3c4ca58cac2afa2daacc2a0d2a35674690858551 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 13:18:54 +0530 Subject: [PATCH 3838/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 82fc2db02..afa681b35 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -130,27 +130,27 @@ components: selected_mode: type: string description: |+ - Selected mode of getting suggestion + Default value null. Selected mode of getting suggestion example: Create/Modify Global parts on screen upload: type: number description: |+ - Upload of getting suggestion value will be greater than 0 + Default value 0. Upload of getting suggestion value will be greater than 0 example: 1 add_item: type: number description: |+ - Add Item of getting suggestion value will be greater than 0 + Default value 0. Add Item of getting suggestion value will be greater than 0 example: 1 edit_item: type: number description: |+ - Edit item of getting suggestion value will be greater than 0 + Default value 0. Edit item of getting suggestion value will be greater than 0 example: 1 first_prompt: type: string description: |+ - First prompt of getting suggestion value will be true/false + Default value false.First prompt of getting suggestion value will be true/false example: true securitySchemes: APIAuthorizer: From 3fe009f7e15fafbe82f169a2bd6fe274e440bb8e Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 23 Mar 2022 16:25:03 +0800 Subject: [PATCH 3839/5916] thainer and japanese ner v2 yamls added --- index.yaml | 8 +- ...ml => inverse_text_normalisation_eng.yaml} | 0 nlp/named-entity_recognition_jp_v1.0.yaml | 344 +++++++++++++++++ nlp/named-entity_recognition_thai.yaml | 125 ++++--- nlp/named-entity_recognition_thai_v1.0.yaml | 346 ++++++++++++++++++ 5 files changed, 775 insertions(+), 48 deletions(-) rename nlp/{inverse_text_normalisation_eng_v2.0.yaml => inverse_text_normalisation_eng.yaml} (100%) create mode 100644 nlp/named-entity_recognition_jp_v1.0.yaml create mode 100644 nlp/named-entity_recognition_thai_v1.0.yaml diff --git a/index.yaml b/index.yaml index a10faf699..374e5a7ca 100644 --- a/index.yaml +++ b/index.yaml @@ -100,7 +100,7 @@ nlp: inverse_text_normalisation_eng: title: Inverse Text Normalisation ENG versions: - 2.0.0: 'inverse_text_normalisation_eng_v2.0.yaml' + 2.0.0: 'inverse_text_normalisation_eng.yaml' 1.0.0: 'inverse_text_normalisation_eng_v1.0.yaml' 0.1.0: 'inverse_text_normalisation_eng_v0.1.yaml' named-entity_recognition_eng: @@ -142,11 +142,13 @@ nlp: named-entity_recognition_jp: title: Named-Entity Recognition JP versions: - 1.0.0: 'named-entity_recognition_jp.yaml' + 2.0.0: 'named-entity_recognition_jp.yaml' + 1.0.0: 'named-entity_recognition_jp_v1.0.yaml' named-entity_recognition_thai: title: Named Entity Recognition THAI versions: - 1.0.0: 'named-entity_recognition_thai.yaml' + 2.0.1: 'named-entity_recognition_thai.yaml' + 1.0.0: 'named-entity_recognition_thai_v1.0.yaml' script_alignment: title: Script Alignment versions: diff --git a/nlp/inverse_text_normalisation_eng_v2.0.yaml b/nlp/inverse_text_normalisation_eng.yaml similarity index 100% rename from nlp/inverse_text_normalisation_eng_v2.0.yaml rename to nlp/inverse_text_normalisation_eng.yaml diff --git a/nlp/named-entity_recognition_jp_v1.0.yaml b/nlp/named-entity_recognition_jp_v1.0.yaml new file mode 100644 index 000000000..18992c36c --- /dev/null +++ b/nlp/named-entity_recognition_jp_v1.0.yaml @@ -0,0 +1,344 @@ +openapi: 3.0.1 +info: + title: Named-Entity Recognition JP + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + Do ensure that your text is within **5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Extract structured pre-defined information from text. + - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + x-subscribelink: named-entity_recognition_jp + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured Japanese text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Sep 30, 2020" +paths: + /microservices/nlp/japanesener/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + age: + - '56' + countx_other: + - 2稿 + - 8口 + doctrine_method_other: + - 険所コホ特室りょ + n_event: + - 受1 + numex_other: + - 百経 + ordinal_number: + - 30弾 + person: + - くぼ + - 壮 + - 琢紫 + - ナユ + product_other: + - 都合ヘラアニ限 + - 議帳 + show_organization: + - 左成相態 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + age: + type: array + items: + type: string + example: + - 56 + description: "age details found in the text string" + countx_other: + type: array + items: + type: string + example: + - 2稿 + - 8口 + description: "countx other details found in the text string" + doctrine_method_other: + type: array + items: + type: string + example: + - 険所コホ特室りょ + description: "doctrine method in the text string" + n_event: + type: array + items: + type: string + example: + - 受1 + description: "n_event in the text string" + numex_other: + type: array + items: + type: string + example: + - 受1 + description: "numex_other details found in the text string" + ordinal_number: + type: array + items: + type: string + example: + -30弾 + description: "ordinal_number details in the text string" + person: + type: array + items: + type: string + example: + - person + - 壮 + - 琢紫 + - ナユ + description: "person details found in the text string" + product_other: + type: array + items: + type: string + example: + - 都合ヘラアニ限 + - 議帳 + description: "product found in the text string" + show_organization: + type: array + items: + type: string + example: + - 左成相態 + description: "organization details found in the text string" + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: 30弾ソイキ昇機マ了映だ店原いひ険所コホ特室りょくぼ都合ヘラアニ限2稿タチケア迷芸歌セ利講ルねひ詳績めかをぶ観提メエ府木ホフタ分不写ひフ妹検らし器増壮憶クわ。8口アユ琢紫ヨ理特ゆほス見百経イス図退ナユ介精しぜ議帳モテ受1中コハ載北早ぎのりや載裁風力壌ひろふ。運56済ぞ下写報スや来際おっはの学要ヘ手米真社つみよや非央で野館き肉待づぜフ次睡ルをが左成相態万えやろ。 + description: |+ + Input text. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index d530989e0..eae5649aa 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -2,14 +2,14 @@ openapi: 3.0.1 info: title: Named-Entity Recognition THAI description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text. + This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text and also returns the entity start and end positions.. The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. Do ensure that your text is **within 5000 characters**. - version: '1.0.0' + version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: - Extract structured pre-defined information from text. @@ -32,15 +32,15 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured Thai text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - Sep 30, 2020" +- name: "v2.0.0" + description: "Published Date - Mar 25, 2022" paths: - /microservices/nlp/thainer/v1/getpredictions: + /microservices/nlp/thainer/v2/getpredictions: post: tags: - - v1.0.0 + - v2.0.0 responses: '200': description: Ok @@ -52,22 +52,54 @@ paths: message: Successfully Processed results: law: - - รัฐธรรมนูญ + - entity: รัฐธรรมนูญ + start: 751 + end: 760 location: - - ประเทศไทย - - มาเลเซีย - - ทะเลอันดามัน - - กรุงเทพมหานคร - - อินโดนีเซีย - - ราชอาณาจักรไทย - - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ - - ลาวทางทิศตะวันออกติดกับลาว - - เอเชียตะวันออกเฉียงใต้ - - เวียดนาม - - ประเทศพม่า - - กัมพูชาทางทิศใต้ติดกับอ่าวไทย + - entity: ราชอาณาจักรไทย + start: 14 + end: 27 + - entity: กัมพูชาทางทิศใต้ติดกับอ่าวไทย + start: 518 + end: 546 + - entity: อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + start: 692 + end: 731 + - entity: ประเทศพม่า + start: 607 + end: 616 + - entity: เวียดนาม + start: 639 + end: 646 + - entity: ลาวทางทิศตะวันออกติดกับลาว + start: 489 + end: 514 + - entity: ประเทศไทย + start: 0 + end: 8 + - entity: ทะเลอันดามัน + start: 580 + end: 591 + - entity: เอเชียตะวันออกเฉียงใต้ + start: 80 + end: 101 + - entity: กรุงเทพมหานคร + start: 404 + end: 416 + - entity: มาเลเซีย + start: 550 + end: 557 + - entity: อินโดนีเซีย + start: 678 + end: 688 organization: - - รัฐสภา + - entity: รัฐสภา + start: 778 + end: 783 + person: + - entity: เผด็จการทหารย + start: 892 + end: 904 status: Success '401': description: Unauthorized @@ -149,70 +181,57 @@ components: location: x-name: location type: array - example: - - ประเทศไทย - - มาเลเซีย - - ทะเลอันดามัน - - กรุงเทพมหานคร - - อินโดนีเซีย - - ราชอาณาจักรไทย - - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ - - ลาวทางทิศตะวันออกติดกับลาว - - เอเชียตะวันออกเฉียงใต้ - - เวียดนาม - - ประเทศพม่า - - กัมพูชาทางทิศใต้ติดกับอ่าวไทย + example: [{"entity":ประเทศไทย,"start":0,"end":10},{"entity": มาเลเซีย, "start": 0, "end": 1}] description: "location found in the text string" organization: x-name: organization type: array - example: - - รัฐสภา + example: [{"entity" : รัฐสภา,"start":0, "end":12}] description: "organization found in the text string" date: x-name: date type: array - example: [2/21/2004, 16 ก.พ., จันทร์] + example: [{"entity": 2/21/2004,"start":9,"end":15},{"entity": 16 ก.พ.,"start":6,"end":10},{"entity":จันทร์,"start":10,"end":14}] description: "date found in the text string" money: x-name: money type: array - example: [2.7 ล้านบาท, 2,000 บาท] + example: [{"entity":2.7 ล้านบาท,"start":90,"end":96}, {"entity":2,000 บาท,"start":45,"end":50}] description: "amount of currency found in the text string" time: x-name: time type: array - example: [16.30 น., 5 วัน, 1-3 ปี] + example: [{"entity": "16.30 น.,"start":30,"end":35},{"entity": 5 วัน,"start":45,"end":47}] description: "time found in the text string" email: x-name: email type: array - example: [info@nrpsc.ac.th] + example: [{"entity":info@nrpsc.ac.th,"start":34,"end":38}] description: "email id found in the text string" len: x-name: len type: array - example: [30 กิโลเมตร, 5 กม.] + example: [{"entity":30 กิโลเมตร,"start":12,"end":18},{"entity":5 กม.,"start":1,"end":5}] description: "distance in km found in the text string" person: x-name: person type: array - example: [น.พ.จรัล, นางประนอม ทองจันทร์] + example: [{"entity":นางประนอม ทองจันทร์,"start":56,"end":58}] description: "name of person found in the text string" phone: x-name: phone type: array - example: [0 2670 8888] + example: [{"entity":8888 กิโลเมตร,"start":12,"end":16}] description: "date found in the text string" url: x-name: url type: array - example: [http://www.bangkokhealth.com/] + example: [{"entity":http://www.bangkokhealth.com/,"start":10,"end":20}] description: "url in the text string" zip: x-name: zip type: array - example: [10400] + example: [{"entity":10400,"start":15,"end":20}] description: "zipcode found in the text string" message: @@ -307,6 +326,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 25, 2022 + x-details: Updated version release v2.0, entity positions returned + description: Latest Version v1.0.0: type: array items: @@ -337,6 +364,14 @@ components: Input text. Supported formats: ASCII only + + return_entity_position: + x-name: return_entity_position + type: boolean + default: false + example: true + description: |+ + Boolean value indicating whether entity position needs to be returned or not. Default value is True. securitySchemes: APIAuthorizer: type: apiKey diff --git a/nlp/named-entity_recognition_thai_v1.0.yaml b/nlp/named-entity_recognition_thai_v1.0.yaml new file mode 100644 index 000000000..d530989e0 --- /dev/null +++ b/nlp/named-entity_recognition_thai_v1.0.yaml @@ -0,0 +1,346 @@ +openapi: 3.0.1 +info: + title: Named-Entity Recognition THAI + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + Do ensure that your text is **within 5000 characters**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Extract structured pre-defined information from text. + + - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + + - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + x-subscribelink: named-entity_recognition_thai + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured Thai text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Sep 30, 2020" +paths: + /microservices/nlp/thainer/v1/getpredictions: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + law: + - รัฐธรรมนูญ + location: + - ประเทศไทย + - มาเลเซีย + - ทะเลอันดามัน + - กรุงเทพมหานคร + - อินโดนีเซีย + - ราชอาณาจักรไทย + - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + - ลาวทางทิศตะวันออกติดกับลาว + - เอเชียตะวันออกเฉียงใต้ + - เวียดนาม + - ประเทศพม่า + - กัมพูชาทางทิศใต้ติดกับอ่าวไทย + organization: + - รัฐสภา + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + law: + x-name: law + type: array + example: [พ.ร.บ.โรคระบาด พ.ศ.2499, รัฐธรรมนูญ] + description: "law details found in the text string" + location: + x-name: location + type: array + example: + - ประเทศไทย + - มาเลเซีย + - ทะเลอันดามัน + - กรุงเทพมหานคร + - อินโดนีเซีย + - ราชอาณาจักรไทย + - อินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ + - ลาวทางทิศตะวันออกติดกับลาว + - เอเชียตะวันออกเฉียงใต้ + - เวียดนาม + - ประเทศพม่า + - กัมพูชาทางทิศใต้ติดกับอ่าวไทย + description: "location found in the text string" + organization: + x-name: organization + type: array + example: + - รัฐสภา + description: "organization found in the text string" + date: + x-name: date + type: array + example: [2/21/2004, 16 ก.พ., จันทร์] + description: "date found in the text string" + money: + x-name: money + type: array + example: [2.7 ล้านบาท, 2,000 บาท] + description: "amount of currency found in the text string" + time: + x-name: time + type: array + example: [16.30 น., 5 วัน, 1-3 ปี] + description: "time found in the text string" + email: + x-name: email + type: array + example: [info@nrpsc.ac.th] + description: "email id found in the text string" + len: + x-name: len + type: array + example: [30 กิโลเมตร, 5 กม.] + description: "distance in km found in the text string" + person: + x-name: person + type: array + example: [น.พ.จรัล, นางประนอม ทองจันทร์] + description: "name of person found in the text string" + phone: + x-name: phone + type: array + example: [0 2670 8888] + description: "date found in the text string" + url: + x-name: url + type: array + example: [http://www.bangkokhealth.com/] + description: "url in the text string" + zip: + x-name: zip + type: array + example: [10400] + description: "zipcode found in the text string" + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 28, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: ประเทศไทย [a] ราชอาณาจักรไทยอย่างเป็นทางการและมีชื่อเดิมว่าสยาม [b] เป็นประเทศในเอเชียตะวันออกเฉียงใต้ ตั้งอยู่ที่ใจกลางคาบสมุทรอินโดจีนประกอบด้วย 76 จังหวัดและครอบคลุมพื้นที่ 513,120 ตารางกิโลเมตร (198,120 ตารางไมล์) และมีประชากรมากกว่า 66 ล้านคน [4] ประเทศไทยเป็นประเทศที่มีพื้นที่ทางบกมากเป็นอันดับที่ 50ของโลกและเป็นประเทศที่มีประชากรมากที่สุดเป็นอันดับที่ 22 ของโลก เมืองหลวงและเมืองที่ใหญ่ที่สุดคือกรุงเทพมหานครซึ่งเป็นเขตปกครองพิเศษ ประเทศไทยมีพรมแดนติดทางทิศเหนือติดกับเมียนมาร์และลาวทางทิศตะวันออกติดกับลาวและกัมพูชาทางทิศใต้ติดกับอ่าวไทยและมาเลเซียและทางทิศตะวันตกติดกับทะเลอันดามันและทางตอนใต้ของประเทศพม่า พรมแดนทางทะเล ได้แก่ เวียดนามในอ่าวไทยทางตะวันออกเฉียงใต้และอินโดนีเซียและอินเดียทางทะเลอันดามันทางตะวันตกเฉียงใต้ ประเทศไทยเป็นระบอบรัฐธรรมนูญและประชาธิปไตยแบบรัฐสภา อย่างไรก็ตามในประวัติศาสตร์ที่ผ่านมารัฐบาลของตนต้องเผชิญกับการรัฐประหารหลายครั้งและช่วงเวลาแห่งการปกครองแบบเผด็จการทหารย เวลา + description: |+ + Input text. + + Supported formats: ASCII only + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 87f1b23ff1adb700028b48ff43c37fe58af2f9e5 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 23 Mar 2022 16:31:15 +0800 Subject: [PATCH 3840/5916] thainer and japanese ner v2 yamls added --- index.yaml | 2 +- nlp/named-entity_recognition_thai.yaml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 374e5a7ca..36290d146 100644 --- a/index.yaml +++ b/index.yaml @@ -147,7 +147,7 @@ nlp: named-entity_recognition_thai: title: Named Entity Recognition THAI versions: - 2.0.1: 'named-entity_recognition_thai.yaml' + 2.0.0: 'named-entity_recognition_thai.yaml' 1.0.0: 'named-entity_recognition_thai_v1.0.yaml' script_alignment: title: Script Alignment diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index eae5649aa..0bd8f79d0 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -176,7 +176,7 @@ components: law: x-name: law type: array - example: [พ.ร.บ.โรคระบาด พ.ศ.2499, รัฐธรรมนูญ] + example: [{"entity":พ.ร.บ.โรคระบาด พ.ศ.2499,"start":89,"end":96}] description: "law details found in the text string" location: x-name: location From 18b4945c1165ff3e2c419c82428999d2e53b8038 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 23 Mar 2022 16:36:50 +0800 Subject: [PATCH 3841/5916] japanese ner v2 yamls updated --- nlp/named-entity_recognition_jp.yaml | 30 +++++++++++++++++++++------- 1 file changed, 23 insertions(+), 7 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 18992c36c..ebf197743 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -2,14 +2,14 @@ openapi: 3.0.1 info: title: Named-Entity Recognition JP description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. + This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text and also returns the entity start and endpositions. The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. Do ensure that your text is within **5000 characters**. - version: '1.0.0' + version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: - Extract structured pre-defined information from text. @@ -30,15 +30,15 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured Japanese text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - Sep 30, 2020" +- name: "v2.0.0" + description: "Published Date - Mar 25, 2022" paths: - /microservices/nlp/japanesener/v1/getpredictions: + /microservices/nlp/japanesener/v2/getpredictions: post: tags: - - v1.0.0 + - v2.0.0 responses: '200': description: Ok @@ -305,6 +305,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 25, 2022 + x-details: Updated version release v1.0, entity positions returned + description: Latest Version v1.0.0: type: array items: @@ -335,6 +343,14 @@ components: Input text. Supported formats: ASCII only + + return_entity_position: + x-name: return_entity_position + type: boolean + default: false + example: true + description: |+ + Boolean value indicating whether entity position needs to be returned or not. Default value is True. securitySchemes: APIAuthorizer: type: apiKey From 28ceeaadaec58c8f37b4930806ac79e595ca2243 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 23 Mar 2022 16:42:18 +0800 Subject: [PATCH 3842/5916] thai ner v2 yaml updated --- nlp/named-entity_recognition_thai.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 0bd8f79d0..094f9707c 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -201,7 +201,7 @@ components: time: x-name: time type: array - example: [{"entity": "16.30 น.,"start":30,"end":35},{"entity": 5 วัน,"start":45,"end":47}] + example: [{"entity": 16.30 น.,"start":30,"end":35},{"entity": 5 วัน,"start":45,"end":47}] description: "time found in the text string" email: x-name: email From 6d9aceb1f58673b4c4dd90a025a224324ad690fb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 23 Mar 2022 14:18:03 +0530 Subject: [PATCH 3843/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index f17633fe1..1f6fc9791 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -214,12 +214,10 @@ components: coordinates: type: array items: - type: array - items: - type: number - example: 103.71618687465097 - 1.348193609950229 - description: coordinates + type: number + example: 103.71618687465097 + 1.348193609950229 + description: coordinates unauthorized: type: object properties: From e799c8e0e28c4fb9f27c63be169440da51bbc8d9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 23 Mar 2022 14:20:36 +0530 Subject: [PATCH 3844/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 1f6fc9791..bbb5c03ad 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -214,7 +214,6 @@ components: coordinates: type: array items: - type: number example: 103.71618687465097 1.348193609950229 description: coordinates From 9f3a544118720e188011a86dd16a787357ca89f4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 23 Mar 2022 14:26:18 +0530 Subject: [PATCH 3845/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index bbb5c03ad..ca14ff673 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -216,7 +216,6 @@ components: items: example: 103.71618687465097 1.348193609950229 - description: coordinates unauthorized: type: object properties: From 9005226156731f96258beddd9a8126d7432a5438 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 23 Mar 2022 18:46:08 +0800 Subject: [PATCH 3846/5916] inversenorm changelog --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 95209211b..8dee9a639 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -231,7 +231,7 @@ components: - type: string example: Published Date - Oct 30, 2020 x-details: Standardizing Output JSON - description: Latest Version + description: Version 1 release v0.1.0: type: array items: From 1244099d72ac306f46d18f640ab993c07ada3dfc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 23 Mar 2022 16:50:48 +0530 Subject: [PATCH 3847/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 5ea8e07cb..ad7de01ce 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -525,10 +525,7 @@ components: input: type: object required: - - input_text - - text_language - - voice_name properties: input_text: From aa08bd885b1c746f9751043771ca435c068e52c8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 23 Mar 2022 17:10:32 +0530 Subject: [PATCH 3848/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index ad7de01ce..1f5160390 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -541,14 +541,14 @@ components: default: True example: en-US description: |+ - Select the input text language from the supported language table. + Specify the text language of the input text from supported languages, if required. If not specified it will automatically detect the input language. voice_name: x-name: voice_name type: string default: True example: en-US-JennyNeural description: |+ - Select the voice name from the supported language table for the output audio. + Specify the voice name from the supported languages, if required. If not specified it will automatically takes the voice name. securitySchemes: APIAuthorizer: From 1c9ae296ba6fcd00c546f7fc7541e516325584fa Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 23 Mar 2022 19:47:42 +0800 Subject: [PATCH 3849/5916] thai ner yaml modified --- nlp/named-entity_recognition_thai.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 094f9707c..2c0f19d04 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -35,7 +35,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 25, 2022" + description: "Published Date - Mar 23, 2022" paths: /microservices/nlp/thainer/v2/getpredictions: post: @@ -331,7 +331,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 25, 2022 + example: Published Date - Mar 23, 2022 x-details: Updated version release v2.0, entity positions returned description: Latest Version v1.0.0: @@ -341,7 +341,7 @@ components: - type: string example: Published Date - Sep 30, 2020 x-details: Updated version release v1.0 - description: Latest Version + description: Version 1 release v0.1.0: type: array items: From c3d8d0ccb8917fe573d9ba0df41d9c631f0c465a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 23 Mar 2022 23:19:51 +1100 Subject: [PATCH 3850/5916] update desc --- data_analytics/recommendation_engine.yaml | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 863e585ab..da8426963 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -5,10 +5,9 @@ info: Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. version: '1.0.0' x-additionalinfo: |+ - Suggested Use Cases: - - This microservice can be used to add item event and items to get recommendation. + - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items. x-subscribelink: recommendation_engine - x-apitype: latge file + x-apitype: Subscription x-apitypedescription: |+ Fast | Single-Call | 10MB/Call x-inputfilelimit: |+ @@ -16,11 +15,13 @@ info: x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ - The API is billed by per request. + Subscription Fee + The API is billed by per request for get recommendations. x-notes: |+ File size cannot exceed 10 MB. x-apidetailsdesc: |+ - It's a type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm + This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. + User can also use bulk upload APIs to insert historial data using CSV for both events and items. + Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. servers: - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' tags: @@ -29,7 +30,7 @@ tags: paths: /readdevent/v0/getresults: description: |+ - This API is used to add the event in recommendation engine + This API is used to add the event to recommendation engine post: tags: - v1.0.0 @@ -66,7 +67,7 @@ paths: required: true /readditem/v0/getresults: description: |+ - This API is used to add the item and properties in recommendation engine + This API is used to add the item and its properties to recommendation engine post: tags: - v1.0.0 @@ -103,7 +104,7 @@ paths: required: true /redeleteevent/v0/getresults: description: |+ - This API is used to delete the event in recommendation engine + This API is used to delete the event from recommendation engine post: tags: - v1.0.0 @@ -268,7 +269,7 @@ paths: required: true /rebulkuploadevent/v0/getresults: description: |+ - This API is used to bulk upload the event in recommendation engine + This API is used to bulk upload the event to recommendation engine post: tags: - v1.0.0 @@ -306,7 +307,7 @@ paths: required: true /rebulkuploaditem/v0/getresults: description: |+ - This API is used to bulk upload the item and properties in recommendation engine + This API is used to bulk upload the item and its properties to recommendation engine post: tags: - v1.0.0 From 55be0bb02fd93562bc5dd42746585107d4d9d076 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 23 Mar 2022 20:27:47 +0800 Subject: [PATCH 3851/5916] FSOD yaml added --- .../few_shots_object_detection.yaml | 269 ++++++++++++++++++ index.yaml | 4 + 2 files changed, 273 insertions(+) create mode 100644 computer_vision/few_shots_object_detection.yaml diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml new file mode 100644 index 000000000..48b08815b --- /dev/null +++ b/computer_vision/few_shots_object_detection.yaml @@ -0,0 +1,269 @@ +openapi: 3.0.1 +info: + title: Few Shots Object Detection + description: |+ + This computer vision microservice generates a list of bounding boxes in the input query image. The bounding boxes are instances of the objects in the input set of support images. + The size of your image file should **not exceed 5 MB**. + version: v0.1.0 + x-subscribelink: few_shots_object_detection + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 23, 2022" +paths: + /microservices/cv/fsod/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: {"bounding box": {"bottom": 513,"left": 65,"right": 311,"top": 377},"confidence": 0.9715367555618286} + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: [{"bounding box": {"bottom": 513,"left": 65,"right": 311,"top": 377},"confidence": 0.9715367555618286}] + description: List of bounding boxes of the detected objects. + items: + oneOf: + - type: object + properties: + bounding box: + description: The bounding boxes of the instances of object of interests.Contains the "top", "left", "bottom", "right". These are the pixel locations of the top-right and bottom-left corners of the bounding box. + example: {"bottom": 513,"left": 65,"right": 311,"top": 377} + type: object + confidence: + description: The "confidence" of the detection. + example: 0.33910804986953735 + type: float + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 23, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - image_base64 + - support_images + + properties: + image_base64: + x-name: image_base64 + type: string + default: True + example: 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 + description: |+ + Input image file in base64 format.Supported file format: jpeg, jpg, png + support_images: + x-name: support_images + type: array + default: true + example: ["iVBORw0KGgoAAAANSUhEUgAAAG8AAABvCAIAAABtpwk3AAAACXBIWXMAAA2wAAANYQHlRq2kAAAgAElEQVR4nDS7x7NmWXbdt80557rPPG/ypS2T5aurDbxpsBuGDEgQQyEpGIrQSOJMoX9AUw010kATjcgApAgxFGQ0HQgQENBotqtGdZlGZWZlpanMfPn8+/x15+y9NXjQ7I7vPnedddf6bfyX/+t/p4hghgJJAaD/4z/5i9/53V8mTYfPL/a2xzs7wy+fvAyD4s6N3cIP/49/9f2PH5+bMWofm2RoBgJgACwK5NhMh+MhA8a2sSTJFIn2tzb+8X/+W1s5OWJR/eN/+7f/4Lu//j/+T//06NkXH/7gwxfnJzcP9i6PzyOF+z/77N6Lw3c+ePvm5uD+o+nWjevj4NrYVYVbq4adcN3WgXRjc29+8eXnnzySajuvQt/0yLaxsdPMJpO2GVWj9e29m+XitesjNDIwJr68OD98flhW6+uD8vD4jL3759/70csO3nj14H/+p7+f6s5A2GiV+OLs4n/7P7+PZV5V+R99+81vvbJNBM6InCEqAzETgBExoUMgpPiX//aj7/3oC6oKHwiJUXPwmW9r7WOXubBazDB3HUuzWISQ27Ih6Ofz6f2nxy6qpT61rZmgGQGRkWNyDlQFADx5BFCzBAbIonJ6ev5v/uOPFwKR7Seffn5wbfO/+i/+0cX5SbOc33l1/63X3r3x5q/+w//mv//Wu9/4zh/8XhXyTx48PZzWRTEclFUosh5ttLWDIeshdqDzDozZEYnJZL5YLuoYY9tKbJcb47VRVrIPa+MKEPsoXYwxpphiX7eHzw5Xq0aMzy8n5xcX47JyzHub6yYmomAUgQFxNW+7LqJRbOOwLDRFQDAAMzJ0CSkpqJmqiKakYgZd12UeCU0dQ2AszHmEpm8VuMrzka9822+EwhdhnPWvvbazvbl+fD6dL3pQiU0TwZDAQBHMIbKZA2BENJCY+j4hkPfsLHpRRD18dvw3nz5MkR49m/3GP/rDW+99ramTG914cRkfPn7859/79//vD35U3bizfXD9vVu3mrPp0dlSS9f3cwVfudCs2ihqmvq6li5yPkyGasWgKjwTUxiPws7+yFUDNWwEl21LzIAEiEhkSCFzb7/35q3XbppLt27vv3X3TpFnErUqPBkagIqJqqrWq1rNwIAA2TEQiaqgiZmIoSAYGGBSVQIxTUmbrnfsnHcOk4gmdZoiZpJe2cnIY7G3fWNr3WKyjLd2vSuK3vyXz6eARIhs4IwAgQgIgBGccxxCQo6iH3zrW81qde/vPnNoxkomSU0Uf/azh9c3dzC4zWLto08/dys4Pnnwtz/6W4nNW++++/VvflCfnL6czndfu5M++sWLl5d3rl8fM6yapUNnEFKPTnir8hYTa0uY8oErNzbbtm+bhpOfntao0kR1LjpARkA0M1Q1BCvXN8BnDGRdZHZc5DF2SXRzfZRiEjVPDKbEvu4lggXHQBayIAkAAEiRkQwBQAQQzBBVzESJuOnVDEilZ9TgyHEWcj/tex0OKS8ydgU7ACUz7/OqrPqU7n1xWBUk2huqWfJopfeZI0/IzqFzGNhlYTFfvjw+yapBZ5aVuS/IgQVncbn8859+7ra2smF48KMPT2aTrx7fdyLf/JVf//a3ftmvLv/y+3/xyccPmMN4UFWOq9Gww7ztImfFYFgUBTvn8uHa9o1b0vUqjIZOOkqpS1Kul2t725ezebRmENLJ0ZEntiQIgEimJkZ5MUB2RphVlS+qmJIh5ZkDM0RSM1AjoEUTzQU185nPPZkagUdlS6AKAiZmZkBGqEyAItApGJAbV9llo3/3YvnVi+NJ3X359GhVx/qTp+9sj9fGGQIgGDAnptjUudHQYR0RkAzMgWaECqBEkRKK6wBGeV6uDYtmsarrEHKD7uZaedpMJM+S9OfPDzfH1RdPHt1Y35zPjimr3nrrtWs7G/VoWM8v8Xz+/q++t3hxNBwMUzYIeQm9BCBmmi8ut0brHkLXm6jvU0QHopiXweeUIJXVQPq+axbbu+vbm+vT8yUxKCAZABoRoqkCgKnPM6OQM9959dbt10bjolBVxBSNTJECL1ZLMwUXikAMjoDNjAAAwQzs6kHRCAEAFNUAI/Zi7n//d5999mi2t7bz3/7R7/3op5+hne8O88nLxei9rz96+EVg3QfSLK33Ci68cWdz8vOZN7q2wY8XqTXsBDxoyYGIa0ICky6dXS7mi2VdLwc5eSSom21PZ0nWXXHW1E0rr25sh8I/efb8pz/4KTG937VP/sWfqKvefOf1sbOfP34yKLOj2YJ9MEjjwmPbp9WlG5Q8rFhTV69WbVsCxK6/aCMlTy47OZusDavx2tps3lA28MCmiuYATdSA0RR9XqW2VzAkcJ4G6yNfbQ89RWeWCI0NDNWaVeMde+8GpQvOWepNLSE4REBQVUI0RDMkQiMW0SgpobmffXK2t7P7+3/4D//gn/zXXaienBxuV+aVzy8vi7J68uxYuTrwnOpYjLOV8DzCqu//yW/faT88fLnq0HOJATOfZfmqTxmjGd+5cfunz79CCm2fyORQzRQ6Q4PIAILOvAp1eWq2KiqGo9tbN4uDy3xrPF/Osmu7PbIvMlzVyMboGSxb90jrPXah6/sY56tmMVuKS8t6yTFOzi+z3A+IaZCPhqUrc3SMSZgR0AAQEFUBiWMSdg4QkTBKxKb58Rc/f++//FXsIpmPoAbGYKtl55zvm8b7sQMFNGIyNQAUVQAAAkZUMwQUTaoWVRDNVeOyWiuH6zvF+GBzYycrS8N5Qbpz87Zr4+HTw+dPT/fGd1roYAV9ahvpPOG/+PHLZZ84FNcLujnwD2t9MV12QJiRqZRlMRqNm/bEI9XRqqzYHg6fHc8xsLGMxuNVayWFarDx69/5blJ85zd/59e+/fuL2dEXn/x458abEn/YdcI+NNPL1KXd/YMiK1bTZro4F/MhZESmFo8uzlvt4WxydjbdvbEfxuVgYxSbFOfLIstjTIBmakiASAZGBgoqCgjAgCr2ys760QrHZSkpAoNaMiCANG864KzruzIPiKYAaAZgrGiIAGaIBmAGZGAGYBBFCcwVWQaMp9PpfF5X1XhU5hD7EPoH9+99/a27kpZdK10npWdR510WOO/a5vkKHSN38QioM5uLA0eEkCJq1z1+eH+1ajdHfODVeFgMRufnF43GmNhUCeN65XqQjVdeAw1KsjiffXRx/uvvv713972tg1tVljtZBXAVuxhARCT1ra6+ennmHR6dHCqFIuTt/KLpYguLgJDq+tnFbLlcDYZrGTtpGpNkFIAJAP9e8AgVjJFQgQARqJHOhoWJCvlMTZBEIcZ+KYCOveO14cgAEREEgEjMgBANVBUAEckMDEzFRIWJnEPwiJP5xelyioUHVzZ9czlvm+ZYv/UN42BUIxE5QpLhYFBtjJZnHVmMUZTxvMMlGJgqWkKHDna2qrMX9/uGqzGuVWWNABKdAgdKranR+WTWIqwXxe7erqVhOczPXhxVAMPx2uIwm82a4fZWOJ9kzm9cO3j4+Omj+/ch2fnp+YunL4ejQETnF89jikyQRAUmFfLRxckoFGfz02owurWzd+f2rWXqxUxEANAIzECAgVmSiKXASA66HrKEwIhiAmYWEHpT6ZKyZ8dYZpmAohkAAKBdDQUAEPHqLRsomIIlU0NwhA5In37+6Y//8k/HeTY/nyRMmcXlZPan/+rf59Xay6cnp6dnu+Nyc3+vQTg+nWRMfQJTaAGdQSdalkySEmLuMffujb380SKbtMsb13afz1fSpd4SsuNAFdOQua2bzWvX2GfDne0QsmptfXs5Ozt9tnHz5upiAgpEiskePX52/tXx02ePD4/O+74r8pxqE9G2jV1MZmai7HQOaq2tdEGEzBdnh8eT5WJYlq/fvp1ECFlQAFD6enW5Kr2HZMeHh64oJCEDCgCbqnnEBOD6Vpq+L4bYdzaucjZQAEJgAzBGMyQEQwVEZANKEqSfdn0vvVHTrhYXlyBaZcPf+NXfevft17zHd24Wr2y5s+OjLx8+ffHipKvbi5Oz1Df1qpOYUkxJTQwlaWtJTDzYeH2UVI2yUGQ3N8bd2Yk1qSM0EQjYidadRYnXdje9D9euH3gSaef1/Oz05bPJZNrU7cNPP8uLoc+K+cXlbLHs+u6TTz99/OTx5OzCEVVlORwNZ/PZ5eSy63sAtb8/MgCEYEhEAGhqbdt++cXDRw8ffvp3z1qFBAm8B0tffXH/5MXzy5Mz6XV2MeuWXd31xaBShATJUNXEEFPTp7qF1DdpVY0LADAAREIAAkC88kdgZoDATGh2eVlPZ1GdkiEGzmKSlmGws7+/sz+Z1U9Ozpu2m55Ojl68TL2cnl+ubQyZcNU26AkA2UAQiEjJFNUhkCoimKSUUjJzSfq2XyxOk/RGrk/QqxhTBoQpXs4X07ZGa+vLZ97q0divDWh3e5va+fHRs1BkF7OpBzx7dvTi+KgTybLgmCcXlzFGAENE75jQiJEIVS1pEhFVVUkmqV3V9Wz6yUf3fvTRvadnk5Qw9U2R+zLk1WBkioQUmEUAzBwgqDEYmDBp23e9mao5dmUWwK5UFq9uHgAEBCM0BkOIEqvK3b//bNmnrm3p5HL67OLi/GLyxb1Pl/Xq29/53ds7115Msp/cPzk7P2egtut9COVwyCHMV03w5PMAJKRqZoOsYGLHPApZIHBEIsplESpWx6/cuBV8Jpo0RiRSxY2DXavCxnB8ejifxuzG7bfL4eZouOlwvHv3/UXIy+H6xflFG+Xo+GXTtEaIREhY13USYeYsy5jJ+8DMeHVUkAgdAKoqIQR2ZNbHRBYf3T/8+ONHP/vZp0eTfu/2W7fuvukGGRV4993Xb7x6c9VbNEVgY2cI6AP5vOmsNkgxBWcbZe6BAzlEREQgImYEIkRGh2pllv/srz/73l99VhU0GKy5fr4s1HoXHjx4/M//rz9enZx/+IvPjg8PrevGw7xr2tzxdHL54sWwupxOLhe+KgJQYHexrAEgtUlUxGwwGtD5OYL0fUqiWbB+keZ11GRImsxYYHscxqGvm248HK5mE0Y7Pz2FcuCWzdnlV838cm3v+nR6enJ41Lexky4ly/OwNVo7mU6Kquy6DhH7Pqla23UiioiqqqqERMQiSkwG5r1LAHUXyej4+KJb1g+eHN2+cbC7s1kwsHbzRcdhcVGvQh4uTs762AbiSOCoODs59z5jA8I0vTyFFMl7ZnIIV8O7mi+AEVDs4vPD05B7l2nO5ni+WCxm5Wz+6cPH9/7yz+pGI2hOkAKLoVkalflaOQCB1awh5cL7xXIVwK5scdSESMR4Pr/YHJYAoiJtxJw8SFy2S9LIVPQGm+P81966yRYRWSzura+NhqNqtO2yovD59duv13XdLhfN5KKNvSRTUUvWrOpzBRFdxkZFEDCJmKoCghkRELFqQgI0cs4pADEzkaV+0fTLNvKS5rMVO7KuO3765Nbe+igjFSF2i/mMNR0/mkmKzqwHI8fPHp+Zp6iWR3z6i4eSekPzTA7MISgAGCIhmpEhGjx99oQCk2Vq7BIkEtiqaNonhJxZtG97zJzjWRvXiK5vr+3vjJHBwBrrjQpD/PY7d35y7/H5KnUdjMfFm3tZORg6i8vVcj7pTTUrvFrXCQhqNLu+Xt69e7CWVbWkbVcxZlpiVK7G695lsU+QXFGudU1qekpJERIBGQkRR02xVZEECI4J8Sp3AE+MAITk2IGqgRCxmamhRgVFZkQkUOiVoNPzyWzv2vba2BecCWJQrFyksigHhWLKgPrUCTjhcxKLsV7f2lhfLzRmzAZgBIZqSGAGTKRmCAZqEciRqCl7IFUfCS/rLvbYJQNMwm7ZxUWbYky74+yd1zfJK6NPybomxh4SwNZW9Z1vvvbu3rgl8D6YM2RwWWAwNe36Lg+cDOu6CwCpr1+9dW0YvEgk5ygU29dv7W7f2Fzf7aN2TRdCMLO4bPokn3/2d3VK0QDJKUJWlg4pZA4JAA0Igg8MREQChkTIFLJgjtRjFkLBjCmaJc5cAsPgfVl0qp1o1+pq0bOwSmLTKKr5MCcPCMkkpiiqZBaTAWISLTI0s2QqqiYKqqACqmhmoiKSDKJon5KIGBiAOY/Wq/UG6DT13YDEhyJJZ4BUZe9+4431PO8N0KyuWxGJbesdeY+Q0Tfe3H0xW50vLs8XO7GuvfWx644b3ezTdsg8uVmX9rOMtQ0mZCrGKNYs6qeHx3d298vRBjI4g+ViLmxLa1TjcrG4mC3IKEryRe7zzDv2zs8WAIQAqGrITAAiYgTIiESawBRMgYkRwEy8D20fteuLgpMCGILnsgxN0gEGIBQDcA6oN1QCAGIEQpEuWep7JFgb5iBKZmgEoAoGjIxoYleuyQREQAQ9MSORsbu1XR1fLJsmiSiTN8CCaf9gc3NjgNoPM9eAmUWP3PQozivKyLEz6JAghN/71p0nh5Pzs0k1ZvbYJlxBGYWICTQpuHw0wrZ33iMzKyeCamO4lpfesQ8uda0vBr7uLfYFZs++evSDH/0E1ciRRydJl123u76R2mY4GPos1G2/rFecZR6xrmvvQ5Jkoh69mUQR8D4LwYt2bSQkBOr7mIXQtV2bbDpdvRznd/dzQQWkxeVF5p2nUdAsmaqYmtWdkKiqlZlLMYIhIiGyQ0ZUBRMyBkREVBRNfVJzzpCAnXvl7Wu3mqabdy1YSS44ohA00LxtMxys+rYgCi40XX8xnXnCtm3zajyvm7ZXNmALr28OV5eL9bWtwLpYniXz2icchRCwrbvgMySMKWEtYCzGvqQwrjav7fVtdFlY1vVgMDo+P5719Z/8s3/m8swYo8akGiVhD89iv7ex1bb1xWQGRIAk///31XXdlZ92zouk4XDctu1yVSOAinrvASGlFLwPue9bOb64bFLMOD/YzQG7RjpC1xvFeJWhI5J1mBwgh1Dm44TRKAkiIwGhQzRVAjA0QDQ0AUOkYMhgGqP78YPJ7/zGW++slx4ZNCZGFUutPHlx8XI2W6fR6cnFs2n7jbv7kV0vGDt49fVXXnt1R/rogFzhm7r58MuvLPUI5kyd57brpINgUneCqoiwub1VZqwKC8ZGMkz9+YvDMpR5VY2rIWByGh/95CePH90zhu3hYLJYVcFnrjqfzppJ/cXkaVlkkAzUFEARPHNVlojY9T0idX23uTYaVOVsOgEgQwADJDYQM0WCFBXQOuA62uFksrF+QBKKcuCVZ4suAiWJk0lzcrk8nUXnUaH56uQZbQ1HIYvtSomynCvv0SDGSGhX0VyMYghC0Ei3rHs3mS4+/vTx6//4H1QZUVIggyjt7Gw5nY4DVxDz3XL35nVNy1VvjIk8Xr+xtbax1gmSERVeLxeN0IuL2rM1iQTSvIl+a+CZVilFA2eydbA3qHJSnEh3eO/i8bMn33z7W/m4Clnoup5Uw3CQ5T7O5zYYKBgxl95tVGGcbzx4fkYulEXZrOokAkQGRkRE7Jk1SZ7nhOBDOD49U3KqBmaSUknEjts29X1s296HzGERe3VlNd7dxqYOrt24eXD7zu4vvjz84UefnpzM1ZQJHCNz9emXlw9frt7/2hu/8bWvlYwxdSFkHIIDn3vtOhVVLtYOj7/3Nw+erg3LhD2PCayPyNnNg21LEdhIlZwFIG/99Ws7bGl6cZqH8pMvz3qwEMJvfv21EFhUk0Hd9t//ix9RF0dVOXIhSUOUSOlge+2r06mYu707bJp2f38vyz2ogdHpeXvz1dfW1jcGg4pQY9MpYvD0xadfZOuDwSB/8MUjFAke37y5s7+92bZt10qK0ZiyLDOV4LyqElOMCRGapqm7brJcAhEgqMj6eAxmMca+j2aQUgIAVSHkzOHrN7Y2B241nx2eJyr8g3uP//yvPmrmfSIXkLKQOe/RgAGl6798fPT4ZFKtD7e31zNmclAUzpdubW3dDcqd268PCjz58vCr2Sz1xusZ5qVrl8ubr9zIModM7EkthTJbG5cJJK+q/f39F5fLB0czBVyrqt/+5l0kRoQEsJg3D+893B75/dvbW2sDnU09uuErr637dHm6nCXdHXAIYVBV5XCAYAjucBLvvvNGcERgZV4Cool2vdy4vv/x9//6q+ePB1G2S7+1Nbi+vZuxC95i0gCUJAXHSEREUVJMiYgAoe+j996z79sOFQK7zPmma5KqKSCgmrJjMgWHZeneurPviRMXz55+9eWXz85Ozg428zWvpaPMI1osPI8yHDobFTwOfnV69uTLJxezZv/69rAgNAKkQAFBm9VUCb7xzhtvX9t87eYeb5chBxwW+cb2+sZw4IhMDZMqMQPVdcu5L6v8r3/84GwlPuNXbm2/+dqmmpgxGKRV+/LJS08ayio2qV8tG0S3f3cDlyez6Qz9Xo6j8Wg2na9v7zAZKj54dv7e174+yMqm78/nF8Y+QVJRKdwHv/SNMJ3Wx8+KPNvf2YYq92rk3PqowjYt+957j46SpD4lMGTnRBQAAAkAVA0IFU3A+hSHw1GeZV3bIYILISCrYd336GnV1JPzCWhq6xqIMk2QUgAszChpIPDWF2QZ6LrD/Sontm65PJ9fQBa21rch9gyW5aGPtamK82t7u+v7my4Qr+p499Wt1aImwDKv+rZOFAi1QTha9udHq8cnj47PW0e+TzEL5dFUNirnOBCoYOotFoSQWkEx6l3nDnb2cHKRhXwvg0GZx1ZU5fzy4trehkUjh9du34S67hFcJxenZz7kq1VnZbY7zsd33370L//1bpWRIzZx7IpiUML8EqCJ0neRHAUOLfRJVVR7SWbmkAAtG5axj0nS34cFBt5TWeVZnk+n8+TYVFTk8/svb+7veOvni84DE3ExyPfW18S61Ot6UW0O8tVyOp3NV21MJjG4Ugsg2jE4/PBTWrR333p9ZaIxeZdLiiDKKQbnnKo0aqEaR+SEIqgJ4Mnp7PNHh49fnJ1OZ7FNgJQ7NonJ6Kcf3r9378s3r4/2NtYGG2uYFREBkRMQdEkli857LlKrIzQfcu9dCLRYNYvLBe1udhJny3kv/c7G2rLpu7ZPKSJY3ywgFQ3i8fPDJ2fT3XK/b1oP2KUeIwSzrY3ReDJvc68pdjGRIarGvgMAJpaYmLmvGxEJPkhKALCsV1bkzLysG1Hr+x5RPZFDf3Q6NYLhcDzIfBJdET6dNHVsc1TlrGnakJdVNsDZssqgWc1O6qYzygbX9kaDixfPvgjh1ddfJ4ouL0MGIp0CGbIjQhW99+jJd669T2pNL3/901/87NNn89XCoXNEWV4QgpqKSek5JmuSPTyaTs4nlc/P56vKgxfngZTY0LjIh4PBmSQeeEygBIhOlOezpYJ10hkYKrW9Ts4vs0GpLivKkruoMS6W082N8cH6GNnIsE+iCsieavUMX7+5/WLRTFq8SCtF83lQADMTMWYiADMAtb7vmdl5bwhN14EZGLJ3aNq1nc8ooZblgJj7JB0BozJm7N350cs8o7v7By52l9NJWQ5DyM9b2bvzxgeB//VfffTZs5NvvHGwW+yev3j5oshv374ZUx9CluXWtL2aODXngnJs9ncrZvjq6cmPP3wg6AoXFIzM2IQMfPANIzJxAMcuD9lps2wvL0dZyNEU0SlFNiVrY3x4+CyPwoTerK2bRKJKXdcCQNvUqG5zvN43ze7OzuHzx64a9vN5jOJ8ZiIJNCsyF5wStG2ThYzQZpPJ0DmSWGXZxng9vnySLBCTIqQoZAkRrxJ4A8iyLKVUFLmqdn1HgIAQY0ygzrEj70KIolJ3RuCwWAu4mk7M8KAqSe3h40dbo2HhQtt0PBoMAtXnswc+O7h5++MXj39u8ktv3NneXL948mRtbd1vMhN75ogoaCQaI9r23ubG+ih6u//w0SBkeVwN0mJd41hlaFKRQd/qsk7zVuddXCzVEpoXdaumYyJRjWQRIWcPRmvrG9JJiWSiXdenlKJ0REpA1muMSSRlmV/fGN+6cW2zzAsQphQCV0VZ5cPZom46aTuJnXikvl6JgMuyVq3LOGR+XI7YSKOiokc3qoYE6L1X1RhjjNE51zbteDTy7JxziMhMnpANEAAAm7ZVgL6Xi+mkaSKzCxlnRIPC7Y/HZcjKInNoJ6cnPpG3eHL+sme8tX9tMW2fnl72hNvjjaPnh50YOUfEzpEndK2aJ//d3/ng4qz5d//hR2cXR2WRhyLLw9ARKGBMkgzANCcSkRXoqpHm2amyGntDMIXA5DyzhqVI6bJhURyDjobV2fnpAAN3abZo77x2oMbRjIts1q42RgPwlI3X1nbHqeuirFLXdW3TrWZlcFcJtBr3Qtlgba3MuFo7aO3Fp7+YboVymOvFPKmgIiAyoRFKUiIiREKUFGNKp6eniISIqsLMo2LQtZ2CWR/JoNekUX3ApknOmXOyGaqKBPpmVS+6Ii+Lwc2t7czhtDEaDWbTS2SfFdWzF7PNna29rd0Q++WiGQ/G3nEeLMbOGfr/7Lu/NJ3P/vQ//Bw7GQ8GCk5RGgFSQAIFUtXMZeysyNy+iQmcLJqj+UpMHCMKMCsSSoImpcb6L+7fl160hctpvao1+ASaDg52IPVk0K7a05Pz9bKanE+7qKOR62OviCBcDSrOemGD4NQ754gY8yJkgxH0krrlL73/6uefP366WHmyLGTC3LTdcrnQJESkqlmWMZGZZlkGgH3f41V7i5r6PpmqwYD9VbjGDhx7F5AMMBpnilcYgknfNobcSVofjbK8SPVKY+oSeSqTrT689/Rb7xdv3rzZt33bpzLLIUU0c3/4nQ8y7//N9340GA7A8bJpxCI7AjBSUFUgIsAUFZjNEXoisLdu7+7N27/96kiVia1TrSQaaopoOW3t73zx5c/387wqwvao9IEwG968tuHFiQlbXF6ctZvbLvOmUq+WKSVR7fumddqn2NSrdpCPHWtSYySzLmnXLMejcpSVH+TDm4tl7FYPnp4uDWKf+tgaASECU5ZnptZ1naqYqhwyXGUAACAASURBVKVkRGrgHC3bFonJe2KokH2SlappMmAwAbQ2xdIRAHjnANCn6BFT3WBZILu8Ks8uZuWa3ylG9y8vTi6n79+9jck1q5Vsjl10ykQm6c/+7Ieahb7rF3VtgAaQRFUNEbzj3LFnZAIzbfum67qUdHJ5WQT8H37/t/e3xmKCBOwLJIwaEeDGwfVVL+DC+u721s29Fux8Olm0KVlP6lKCajD0WZk0reqFefIhI42YBLnQmB8Mt7XtY9+ixSSWgNrzyYh8CKFpW1MZ5X7ZxVnsqtJlDIXLq6LK8zxkmSQBVRUR1SQChGpKCKlPgWijLEeOBmSVo4zQAwy8C4DOlA0MgEwQFERMEjuOKtOumSyXbYyjonrnxs3K1DvazsoHD44uV7XPfNf2aACECsqT86knYPNiZgBRk5mKKgISACMSIeIVEAYERgDeucDMJvPV4p07t1fTRR6gGlZqaTmZdeZhe//k8aPre6PDr05Pz2azyapponK4fnNrPlkczePdt1/d2NhJUdfX1rTrALnMiJnrxezBvU/u33toamXIkDiappiqouCqPDuZXFwsmhgvZ/OT6WwwHCOIBt92McaopgbA7FS173tRI0bnHBgE5u2NjSrzlePSUQBjUwFAwkwBLWXsgmMxGWdeTVMSIMqKMqou2g59ZoYS++Cd98Seh3l5fjor14fXtjdEbDwemsbYd64oqO8SYEQlsyvVAIdsqmLokETVO8dkZOaIESyJZBwy1gHIo4efR3U+zziU2DZc5Zz82eOvGk0huFx7QioKW6zioy+fvnJr2yCJxGbVPP3qkUfrtrbjcqV5tbddKULqmlGVXawWF8vVedO/eeOGdjW4iMOimS3zajSP81ZSdGG0sX50epo6A9SdQX7ZILNb1KuoEcwUUc3AsCjLzNEgy9gAAHNESD0DMJEkBSSnAETgGJCS2axXUAAgh5zEDFAUFnVrAGzJHFV50auWGb1zc/vjzx7evX5QlUUyYTBL5poeAqMkAEjMbEYAoiZ8Jc2qoMqOcx+ucBzvuEupT7Je8sZ6AdK87NDn1XA8Wi4WOVJcG//uH/3Rvf/lbxkdsnkKhH1G1C9WT+4d3jwY5GWJ5qaT89ylbJgROdT+2eHpel49fPz45dHUgC5my8t5baDbw3J/tMbl7mu//N7WwUEenGr8/BefnTx+tlGOMjd+95vvPv/87z5++OXpZLJKc3SuixEAksiwLLPgNwaFU2FixxTE+hQzz6zCqLGNCQmdr6MwqQPrmQmVAXtR6Hr1rgVrmiYPGRi0bfIokSkmMZb5dPno5PzdV68rGMaUVF0BTkGRQEQBWcUI0DkCM1MARlVoY/RIzNynBMwJgMh5h6Ypy/PUNYQwn55jbFMSSfrhzz7qFC9mdTRlMEbKc69d07XdosuzQdjcKn7y4afffPeDpG7gK7MW0urpzz96/IvH5nOPtLe5vrG2Zt1yuqrvvPHerXffrDbW2yhJBEX3D1658+pbUbtgrmdczBdvuvBmih9+/PHZbJr6OFhfv5jNiDkPwYGVwYlaQKCUcuecxRyh8tQmv0iSFA0MCHMk1UQAzntR7RUkJjAANUkpeN/1adZfZvmwLxwLVsTHZ+dfe/2WauI+iplLllCZmAhYRMxUTc08Eipc9a5IxJ1E0ESAXRc9YjkMyyaKiRgms9T1LTlRRgRDLUAN+8myjY6CQyAfMJri9Px4Y38UhX72w588f3LUxPiNd78+y3LviFL64cef33rra5OTY1dmOeJ3v/2tk4efvbh0W9duIhWo7AGdJ8yDG1ak4Gkopth1N957p9rfSwwbd259/IP/9Pnz52EwnM5npFJ479nQ3LAgZ1agxbZxzjWrFBUcITMBAgA6QEZipqAQYxImNnVCJTJ7AwJyUHf1rE0FBwVNURLDou4SRqfaSGQwBwCicoUx6N+TUtjF6JgRDRFN4QqfQlFHDkASwqxtVCLWsOqlqHyfhEVE+iSiFDhkbRufPD/NnRWDUASW1JujTsSz41UMnt66c+20q49fPtva3Z2dHzX1pNy+FedNQewBt3ZH+aj6+jd+efuyHaI07QV7pc65zoe8cD5H5xgB1IosqEg+rDQZb2y8+tbrJ4v2ol4Qgid2zhGnUZ5nLG3TKzO5rEt9Y2aIzjtHYkCqAAiKGNWISRIyEyISQFBkCmaGCtGwYLbFKgzHUSSJxL7N85BivDJkDgnR0MAQkIhEBBCvFhQ8X/1IqF21SmTgCEQITVJi4nkbD6fNm6NMzQBAUkwRJMLR2ZlnjwhMjlDyPO8k75LEKA50uD64cedu18xOP39ShOr546dHh8/Pp5M3P/hg69q4Xo3K4fCiWf3gw3tZCB+8/7WNa1tJtGvrPiV2zjnK8xwdexeyLEMisJjnnBpV8qONzdGgOJ9eEufBZ9sb43GWvDKoNH2at01J4InKjFFwDg7BGJz3pKAGKAQdWJFnztRQiyJvm9YUFUBUmKlklxAaTZosZ4cqwbnYdyqiok5FkYDQQO2Ks0lJvPfMZGhRRQz6risce0IiJTLvXeaZkebLCbFLbZOyQkWvlHc1PZe1nczz1gjPZ/2kleez2PXS9f2oKobbm4vLWIx2bt65cfTsiJtpaf3t9cGtzfFG7p9//vz06LgWIT+cNW2o5a/+00e//Qe/+freNohUgH1MKcbU9sn6mUhelkTsyaUuCnFHwkV19/b+Lx78ohoO1/Kiaxt1WJYlmVFKWASrV4QiACHLprWELDNFYp8soSgQGhqBBTMmcmBRRdQACAAIEBx3ok2MsRUXyOUZIqQYzSymyFtVzkxXRhIAVASRmMlU88wTURQzA75CRq40BjELnglPZnXIsHBQ5H5tOG7q1bzppolqcJTaNZcmtfQRYtIuJkPd2Bj8yjffXByfzmbzbrkoy9JIQ1UU47Vyfcichltbt1+9vTuoHh2+dMTEXi0+e/n8vXfeqbJgIs6FLCuGg2HwGSA550yMkUDBg8XlApIOSp+Wqyp3hXd1TINh6ZAw9X3Xk1HGlKMOHJLZSWIXfGAPKmAGqoEgY8QUA7F3xIS5823SaJZEVMGIgbjuY1QVsoMbe2/fPgBVNRUR3io9mhGCYyYiAzAzUwUzBHPOIRIAOKRklhAMUUTZwANOo4QMHVFVhCIvmtVyXrd+585v/s53P//kk5HHRa8JyUxNgRDefe+9kOeDjZ2dtTU0sx7QQRHYc1BDMU8AbZuK8TAnnpyf98zOAcXi9OLixrVrBOICAULIXFaWwTEZOCL2DI6cZ4E+FCGvhtdvHYzXhhfn07qpq4w1aUrCYBal61sA8y5fCS7RASIZBuebpq6KonBMqiYCBCHL1sbjshqczee9WQJIAD7LO0m1pbWiTE3z9jtv3NjdME2iYma8VYUrJtHUxAwdIoGpIqAosHO9RCBTUDAEVSJgoph0FRMwmGhBVoZQloO6XjRNG8vNk2U7u7woSaPEg4N9YlobD95/65XbrxxkvhwMhgTonHM554MSyAERE3vHIWRZUWRZceNg15ucnk3J5cxQL5bGfPvm9Sy4vMjzUHR9QkT2HhCJ6KryZZdlWfbgwcOffnLvwePnTd8T4aruHDmHmGW5kCURQ6o7WKqjzCcwVSNE5xlVciJE6kWVfZbnXZREPFobe6K+60NRIlDTddFg6MKyb3/pW29vj3KThAAG4AhYkzLx1ZUOQoDEzghZDYEYgPuYGIEAwBSToqpjVjP1mYkQIxgIYDJGcRWH4Xh0v69TnovgL3/z7b3N4ayB1aoP+fpgmI3ykFWVEhIxAasKMaWYVLWoyjwvmLkn+bXvfPf45P/+6rJxnoXx8/sP3/raG9fygp1rY5SUnOeu68DUsyPvkeCLL7/69ONfXE4uelMjMMegQMyXy9rKInaNd1DkJcWupwgApqaGAoAAYlqGQKiYJHde2XVGbddUwberRe59KPMYEzADIJOtYsqGg82NURRDxStPxNtVQLxa10ADjH0kRCYSFQPTpIhkqiE4x8yEV1u+3rleUg8OVNcyztmyLG/rpkn9i3k/bbrYNrnFtpNX33kFTVbG1bC6sbdbZFAM1oyu4GBf5AU757wDhNF4XA2qPMtccANXmHNvvvn6488fLEUY0Xp5fnL27lt3Y2xirU3XIOHVVjORO3p5/P0f/OSnP/2o7ZMAJhFS5xQrHzbGg1duXRtWAePCRJld5sJoOCwzWkUQxKIoCKntW0bj4F3IDNBlhQ+h6WS67FZN3zZ9imrAclXpICyW3d137rx/97qmdOWlAMwxgZqJJiNCJOfYTFMCQM1DKPNqsVx5Ak8AaoCEcEWMGQMtVyvPFjEDTy5zwOpQfRYMKPUqGUYC6LEqRqPxBjibLputrQ0ucieKAMQEaIDgfeZDlue5D4GZQSUBMaSiGv3eb/3K//Mf/yaR8xnOT2efPHz83qvXh6MRrRAJmTmh3Hvw5Y9/+lHdxnIwFE2aBMWGlXv19sHtmwejQdm3q3o5t/31y5OzyWSReX/94NrRi1P2S29kYqriHCGgQ8/eJ3Zt0v+vrPf8sSy57gSPiYh7n09bVVmV5dqwDduwm2p20xuRkkgNNWYHWGCBxQLaxQD7YXf2b1oMsF8W66ShNJJmIEdqNCKpFtnesbt8Vfrn7r0Rcc7ZD3GzyMW+KmRlFhKZ990bcczPnKCcXHDQdii5GtQxRjHL2QxBs2aJr77wFOSEYFgQfTCHBmhARGpAYM6RKqgaoM9J1cug8mIK0BtjzBQQJYn3blZz164ZfVZHvgIDdT6LTIaDBHrWZiXnhgM/mxpB0zU7e5c3N7ZUVSWmlFzwyM4XDzgg+wBICKSOyLI3r5iefvXl1+/c+8t3P5Tg0cFP//GtG1f2OcThcJByQuQf//hv3/7gIyBHngCA0Tnml195YWdjujkde0ZEanI7GGymerAbxtON09XRyd2j+UnKmRnQmSQD9CEMq4qBs4gfVKcnc3a+Dn46G6QGTTOhtSJimAzWMT3x5JX93ZmljhHt3B7Ce6MBIggW90af3JEYAFW0aVrkIo4uS7PUUWZmTBy8A8RVG1uR08V6sWqPO4XxZlUPj0+OJer+1s5rr7xYjcarRjY2dze3twbe59iKqa9qdj6EynlHiFVVEzEzAwKCMrpiejKiJ5+48eZ/eVPQeYPUxZj15hOXK+fX8+X//Uf//pNf3QZXCQA7B6Y3r1//ve9954kbl33FTddkzVlUCcChionaeGcXh+Ms+eTg6KiLaiSikhJ6h85FEGAG4NWqNcP5Yg5qRJSypIxNtgjaZnEhfP/3vjr0SkgESAgIiEh8cVxnzdmAkDwRmTEVPU+vsjUERDA1NHDMzlF5MVEVnCku162ROjRIen+lGiZtt7QEztPvfOeN/avXmpiQYDwaTicTZIopsffOheADITliJi6MDiAYAvftBBIgKITROKh89OktISLjhyeHn3/umdXpyf/1o//08OSMHJKximWRb3ztja+98eqg9uw8MjEhKKpI7DoDSymTY+e8VGFcVXWN9+4eZoOckqIZQsoGQEksC8SUU86lcI85J5UOpU05KrRdfP2LLz73zD6BePIEVoxtBsCb45AJUbHgHc4RIpCBZ8fETIRggIrMyGxQJH/FuImV9wBGZOMBbU1qzN1D8VeuPz3bnB4/OvzmV7/w9NNPhCp0MVVVtbm5OR6PVQ2QnfMhBAAgInYECMRMVB6joSESGSgjGkBMcXtv++7Hny7apIAodv/+8c/efHu1ygCdqpnI5sb0n//zH7zw/NOOcbmYhxBqX3Vd2r6ww0SL+cKIfeVRKa+jkUOgejaT5frw9GSdswDkrDlKVOxyNsSUS+2UkbwJF4iPCZuUn3nm+u9+64tesic2VEMspnUE5J1BMCvJALW/VUgABiaqBMgOjYrFnQwMEIi49x1mIyDNufJuZ3NzvVid4Agrn6Nc3J688eqzw8k0VPVisdzY2JhtbPbWHiJmV0gx57h4PwGLXpcAkADVjAgJAcCAwLsBUvrwV3cADTAN08oZdAgEWFfj3/rSy9//wW9vb27klByTd14VPDsg7HIcDQbNuvFVXQ8q7fLB8XGYTeK6FcejOkCbH56etTG3XY6asyESZMlZsiMIyJJiJzlZ9mxNk65cufj7v/vlipXAKQhCkeMXRxby5cmoTBcwNQMo9hFELFI0AygfAZCIi97MDMzMAA1VISeLGSSrrGNshHkwGnn32heevbCxVU+GMepytdy+cMH5wESAgExIqCKI4L0jYjMsERkRCalwJ9R78NAMhHBvtvneu293gs+M4ImxXJiMHyzWnau+89vfePXV5wOxabkocuxUlInFxDGDgXMux8SO6zA4XS/DdKSrhqvaed67euXhB7cOVgtFp6CIyAQiMeYERXhLWHufujhv0o2nr/7gu6+PPRA4QzQQxgLoWfEZ88a4GrjKoZab7J0rJmEDS6pAVFYyGYNhsRcCoAGaFfcMlGaWEdEsJsuufu3Fp5+6sV/5up5teO8R0Qfv60rKYnSsoinnUNXsnGmp1BgQCBF7BzQAFEQQFZA0+41Nni/o8Pa1rXFMTQhudzqh8cbrX/lijYRAxfWoqpUPZqpowXlL4quKHEGMyQCqejwamQgjdTFPJlM/G+2Mp++/80F2IIaI6AmJKCYRhdSlpotnbYfs3njjxR98+4sBMyKjmUF2HAyFAaiAIgBuvl7zhEdMCCiQsmVVASITMSJJudx4QiqPAA0cO0VQsITkUpxUUI+G21uzs4ODapUu7E5u3rg2GIwJIISaEZt1UzyQcG5UTF1ix0QoIiLimJHQnUMqAKZleAaaqiGhqreYtnc2b8Na/azSWqRzTF957esOFCkYGAGaGREmTUWyzM455wzQ1Mazyfr4hIiGw3FKyYIf+7oajpN0F5+6+dTlvbcf3EeqM4IQQUqStFPo2nZUuS+8+OwXXn5id2vYdg0RMQKAEqKJIJUEVNYmuu1RDQ4WndXMIGqkql4MgJTEEOHcBAslJwhCJ8k5B2oOpTFDtSrL2fysNfKz8etfenW2sVFVQURDXZGod17VSpRAgBxjklQPayIyU1VRYjWgsjYRcwFvexe4ASJgFoXxhW2NklYNAEDWjPnC1csYW6FIDlWpNMtlAJJjNjDnfVJBZPRUBd+1DVUDIB5PppKlHgddNmz44msvvf1/3l7onDpdGRNizbB/YfPzz7741JP743ENmjCbh8pADZSIEBDAoPitqW8n3SvPX9ucjf/x7dv3Ds8qx07ZOKuqA86mgFiQdzNTM0REA2I2M0NA4MjUdPl40SJadPC9775+88ZNR4hkhGyEKeVQhVXTxBhD8IgYu857H0JAQpB+wZZnVjRv52MJ1FTRDA0NnKmasyziyIDNNA+298azcXNUUieWtd//MXPOxRQdczbNamg6Gg2b5jS4YIChqjUIJEBDMdl74tp//d2vH8RTZ+w9b21Pp7PxxnRKhClF0eycQzBEU0M0R2XjkBXHfx87Ddxso3KUvvKF/Y8/rX7xwaMzs8qjwyqCAgif30wBK9u8L94BmhRbgZeevHLl4vDkZHH7wZp2Lr74wguY1c+GMTZVXVsWJAJEVc05V1WVcjbVQV33O1r18dMCxDIeB8x6G3hBB0VQ2TyDVXd0cPfRaugdmrzyyk3MrSPKeY02YkJVJSIDU7DKuSRkauycZBHJk3GFaAhGxEA8CD7GxABGBD7sXN1ffXrEnpFkuTxt1ov7t++zI3bAvmLvGdExM7Nj9uyYEBmQySExETEBovPGTknFbl7dfeLy5jsfH3xwsDppFs64p5sBDNBEqSR+5pxz7tLWbPbVFy7vTYcpxo29ndkm77/w6vZ4ys4hOVVE5xjQyBFxEVsxUYqJnQ9VBdDbboAICREBAQjK9BFRLbkIoXBTlpBc7tICh+R8F0HcYOfKC906Oh8aIIbiywUkKo8kZmHnLGViquv67PQ0SlUPRiKp7LMQqq7NYTDNKQNouLDLHyO0czEAJEEwk85UgbKBKJiaAwIQZiwNTRmzBFjMNA6ZnGQlTYLmiRqT4e60biQt1wnBVLXTUraIKhPlnLNGIgIFWMdffnI8v9jc2N4KaFdu3ti7cJE9ch2YWJtsY0bnUxeLQRGBVMXMBqMRIhafRBaFvmjHfg5CUaGUYgdRgQgpITigZduYIikmBh+grplQhQTVAQggYd8yG2CJ0chESYU9I2GTchgM5icnWTIAELFDaAHRMebsqnq2t796cIsQY46IBOA8MaIJKDExlWEUZoAl0BEoAZiaGWoJL+gxCgD6Tx7OP7k/P1ybISYAiRkUiRkRmaj0aQ7QAWYxRV00TXxkdx6d/nJ8/N2vvf7Szad9cFRV7BlUzIwUkma0BJY1R8piyVztvXMxpYIImkH/ox/3/4gE/X+cF2QGgETUrhs1BUQEC94HFABGAw8GAuQ4m6golv0MBmBKlJMiICO2XRyORiqWc6yCd0QcCGJiIgBnihu7V9ujB2ziqhGBijGYMpGaGgKCopkzNDNlJiZQYTVhMOzhC/fciy+erpr/9ON3fvZPt6yquxxVEhqHMAIVJDQ0JipdoGMDBA+galk0ZzGAUI8+99zn66pm75kYxdQMg1MVn61rBIDQ+WRGItN6amAxdo7YMZsZF83l+W2D4j1DPL+5alaCAbWL1bnfnkJdoyMlNDMgSiIOQr82VRHZAHPOTOB9aFPjfCXrlZqJaOqSmjEzinliz26dsjK66TSMNmR5YIpGZhgZvJmWEARABKZMgIYqYGKIict2JzAzMPfOpw//4Z2HxyeLyKRJTZ1zjMUmwiWc4fnAh9KgGPafsw/EKt/+5le3NmcuBCQGpLI6quEwhGCSBBURLCfV5AdjrFyKSUURqTioiAi0EHiGeJ7nHpemSKYKogiQu1iGQKrkmp0nZgREUMIUk5QJmoSmAGZqpgYg4tkhogKoaEyZmbumOz072xiPkdkRMbLBGpG888MLl+ftiTNNYuzRxBT6xF2G9pQunA3QwAjFqDz0ctH0v/3oHz67d//4tDFDR8CUqR+AwlZKj7IcmL33zjkAUJXSfarmZ5958tlnn/LeOe+YUEVNjZwLdeWDBwBXUaj9eDIaDkfVYNilnHIu8GqM8Rzi6194Xr2jGZqVHsMREYJzvFyunHNgRkihDmhQ4LICP6UciZm9p/IzTRHBVFNKVVUpqEPuYqyHg+ViEWNKkp0PoQopZyRy7Ih4vHWRq62Uoip0rahmVc0p5ZxVRERNTdWSQUaQ0mIQGhqgGqozxsXpHDEyBjIpbSSoFRSibySLf9hMco4xIiKzQ7TRoPrKG6+FEHw9FDSTRMaG4IIPwQMgOUfJkhkNh64aOAiaNGclwiwCAExU4A9CMiij7qxPzwAIQIXiR1PVdduCARFJTm5YZVQHwIAZ0YhSjL6uwLAQPuUNGkKXYl3VdagS5bP1cnc2856Ho0E9qPOyzQax60JdK6KBcVUPdq80skImzVk1euBcOjk1AzAVUVVQAyvTpogATEuT4fJqTewUSVXAgMiZIaORqZS3VG5l+XmqiMTMAJBzevXlFy5euBCqCpzTnAgpdzGMBt65ga/b2FEVZrPZ2enJ+ux0czxGzGpS5mepWRUCGJTnVJqJfpTEY2bATNQQQFRyzqu2wTKRCCHUgRAwK5I5JGXXpGRqjFiQQ8mmAoaYs7YWvQuETdO0aTicjMaT6VhVsHJN19TjkYlB2W+MYXNrNnguuJYUBMQQDcocXkODwo2rgqoaaJZsYKZl4q44RQPMZUAlEqpqQW3lPCeUVx8rkYEEGEz48vbmS8886QOHEAABAdZtp0qjwXjVpayN944QJeVmtRoOhsCuy5JyUlAURANmT4ikfe4pt7J/QY8gmSoAoSLm2HUdBFI1BJjUg4KAZsimSIyECFkwcDIRMAVVkJQlZclqgzooZ875wcEhevbsxSxnCeiqYXV6NvfMIt4yjarJanXGxAAdAZmBGTh2IkJMWrCzUm72TSz3/VsZmwumTNjX9kilbTqHcl0ByIioH1uLRECO6eaT12fbW64KRMhEqKYxB0bN8eTw0e3PPj04eLhcLR7dv39wcOBDgDI7QkSTqJkxAaMRiqmYKYAClMaI+v2AULIHmLGParEMegUF1boKpgoKpkaIhBSci12HBpC1IKYqpllF1EQZCZHMcH42Hw6GauqdX6xX4/HI1KoQgAgYiQlYyA87M2Nn5/igmSLROUtAxS1bdpAWKNBUNDsCYyQ15VLi2eOEgKVhLqFTy1xVMEQCo+Ew7O9fGgyHwVfOhdKwOee48gC2tbV1cnR0cnJycnrWLRpfB2YvqmBmKTsASTlUlZmRoagoGGNfOQCeF559j1lm/kGOuU0ZkNTMEOq6NtV+fTAAIDvXrteiigCSsoj1KnM1YsqizJRSTqLsHCG260bAnPdlM3QxA6BY55DJ17lzAplR+n2CaGpFDA6/kUuojI4scd/QMZJoecRUFquB9fMQ8XyNAIAZEZkJAInIzs7G9vZWFULlfRmM7IIPMBSiZDgeT8bjCQIuV4uPP/hovlgAgGYxFUDrUuK6QmYjyqCqRlRYnL4pBOj7DUIkIDNzoMu264egEAiyCw6IzEALNU0AzEDUxi54n6KK/jpsqGHM6pwHAxFxlQeTk+Oz8c6OmuHjmoyJiBCCrxLkseYTx/1cXQBgfjxGjhFLfVmuVc4rSCARAwDnuS+eCQrZgL13oF+rfZ1EhIyqsn/l4ng89sH7KpRap40xZtGYurZdt00xP925c9cId3d3JefCO3UxMnEgx4okRqKgitBDII/xJIACKPXdOgIul6vUJQLwjpmoCgHMHDsQE8ll93nvu64zgCJcEM0lBseUStOVciJm5zimTlWqqlJVYjYTx8RIjr0pAiO4KmmwHrWm8lR6GK63B/SfY+EmEBHRlZskkg3IzFAMqFTtJQcoIQJiHWvJSgAAHbtJREFUyeMF72JH+1eu1KEejcehClBhkOocFwB0dHhyfPfoqOiSL+/vt02TcwbgMtREEJRAQBldVgEAxvMhzSVWakERDfrbbEauqusnn3x6Fddt07WxzV2bcq7QM1H5ZkLyxG2WFFNpDUpRbCYxZecdqpR7ICrNMoYwCC5YTmfLeTYdDkaaCugILoQskGMl1jlAMyEqz6dEHii8mkGBvQwARQQBXDbBBOSYCBWAzsnhHrAFKEyNcy6LsJASkePxdENMLVlqU8H+2bFlyyrr07O4bkej8cnp6dX9fQNkTKqQUkZDEMN+8xkCKBgyGqMiAKGBlb6IzUDViBRRRRRsNAxvvPGKG/n1Kh4d3tuaDbMSmzqHKGqi6MkjMWLTNoN6RMQ5i6jEphOFFAKBxti5KnRNHNdVPRlbjM167X01GQ5SzmBEamxgwowo5FJy7LXgRIgohgbaQ74GPbYJBRkwA3D7u7tt16zaJhaTEDKolrHeWnoqwJSylLhaBMwGQJRy6rpuOB6zc977rm1SipoTk802xsdnZ3tXLp0tFxsbWzGmkZmaoikiiKlTs9+Yn9nvgCIPNQBCMUMutLShGRvwYPz2n/6vTWd5dbr9yld3Luytj8/MEogjdtk0mzki73y3XidOpQ4x1dLQtG1LZC74KGopu61ZYL9eLKrZ2DlPYrlNEDw559SrJiJkH1KkAB0amRozAhhZWQbQn/UAJTr1yYn/m//qOxcubiP0fEPKgtzTh6pmqkhkZl3XMTtDJICubZ985ulr+1fBeXIuuFBo3GEVBqNRPRx0XTccjk5PTru2m21uLxfL0XBQ1RUjMLOZIXNPAos8roYKeI49GG1AZGZooDkL22dv/peDj9964tWvxrPbuUtbN5/FlISFwClQEaQ4JARsuzZmUTBQBcQupi7mmFKO3cnR8Wq1CsNh7f16teK6GlaD+enZ0fwsVPWwqkxBJZsKGqhR13betaiMZSmWMUgAVigyPC9yoHDXQOv5qaVuWIdBFQroLWKGnFVNVUWwQOVA/XBuAGL385/949l8RYpnR8f37t49OT0h78RxVmyTDMdTQjp6dITIZra9vR1jFJEkSo588CbCRY5gPT5hj/kS0QIkqCqed+7dYnnw3s9ml5688spXNq8/3x3ebk6PyTsVExFDMgBVSKaA4JjNFJGsSEcIi44q5xyAHh48Wqbu4cNHzXKVc3744EHXxgu7F4bDgYoSITExMzMDkVJIwgZmgGJa7qMiCBS6tq8gS4wGMPrs4ekv3r/zzvt37zw8WDUNIQ3qylQR+nI9i/Tvte84MFTV++9++A8//ydf15f29q7d2PfedSmpIiiHakjEBweH57UBIFrOEmMiZiBm50zNFJg9MalISklUCsemYKLFHFKIOXOD+ui9X8oqXXjmi+xw48oTmGB+75YRe/amaikzIAMmUXDkQ9AiVSeOMcUY1UxEJMtwOj28fe/WZ7fFTFBXiyU53treckiohsXwQux8BcyASL7qJKADBTJUMERFMiAzety1lYmcZWbgX/zNP7390a3k2FxFPuScY9vmlMy0dNP5/L2plRa1oOL0V3/5N3/2V3+9TN26jT7UDhmEwGy9Wh0cHcWcpcDsZnfv3FmvlmDmnMMiUAAgBAVjZkI000IFK5gaZCmTltXQyIfV6eGjD9+bXLkx3rvcLeabV64quUcfv8vIaISAuYs5RQQoXlt23sxMpPxYVZAsqYuL5TJMRnvjwdGde8fHR0J+MhlvbGyw82UiK56nYEMkIh8cO46JAQksA5CiIZTGEqHXx/RFR+mI3HA0vHz5Us758PAwpSyiZlrXFRFL1pIYuhiRyPWiDwMVH3zTNH/2J39+cXvjuWef293abnIyhW69PDo5dj50XTagjemMiZqmYTQCYCLnHJkpZVVhJkDHgDHnlFJxlxuairEiIKGh5Hz60bvB8/bnXqzrKqb1ZLY5vHDx5Pat5fxkvLnBxqu8jLFDdEAOkNgxAuaUgmNQVdGYoqasAOPB4KWXn753lsbDwWy6XdfDTlVj55B8FZDIRJnKrFMGMGTMwG1nQ1I1D6CKBabsUYTy8bwmBx6Px0dHx4vFcjbbWK/XZlbXgyIXKj0CIlYhpCyO3eNCvi+V180nn3xM5O7df3B4eHh0eHR6elLiQ9u02zs74+kkp3R0dDSZjEMVqrpmcsE5M40pc/DeOx+C84GRNEtKiRxHgIq8JyaTxYO7q7uf0XC6+/IXK8+aVcTA6fF7b0MIl555QZIwa+wiIApYIRNT27UxAZKptG3TdZ2I7mxvTUf1Z7/67LhZV76arxYPHj3KTRdCGE4mntnUyuDZsrKTSFbJorltJwNvJmXllkSEgAUM6sWG5W6mlBCxqqq9vUvz+byuq/MuGQvyaGbeB8niyqzVcxTAzOrKr5v2xo0bFy7sShfZ1PvKOVfXVV1V2zs7y+W8Wa8BYDweiObpeGJmHDwRioohZMlEzOR88IyoqjEnb5RNwXPO7fFbb8l6Nbj21OzSnpkGV7Vdw84dvf/28eH9/S982XlyCGoQc4Jy0Uho1rQRgFNMbdMtl8t6MLy0dwk1s69G0+ko1KPR0LkQJQ8HQ0ZMkkylQKsiUjCAlJNm0NgNnSokoD63F6aFzvtu7HkX4DKXdTQaTqeTplmnlKyg1uXIHS1HdrGqFkXReeNuiCVR0Usvv/DkjesXd3dr79ouxhTP5vNm3RwdHc3P5gBU16EX2QJWVT0cjoCAvfOOTbVru5SzqjjvHTsk0NxmRBQ7fO+DxeHteWwvfP63Bt6Xi1FIkOn49q9WJ/dxuLO9t6dZnXMiIilhobjR2i4uV+vlet2uGzO7sr8/HNemBkDr1fLi7q5I3tjZxpjny8XWpV3vPJ0jubFLiCgisetAAKWtKFHPUOPjqElYxsSqAmjv8UVk5vV6fXa2MCvktTF76CVWvw4LZXhL3zifc0NVqL719S/v7e12bbd7ccejI8ehrmLXtav14mwxGA5m00nO0TEXXLVdNylHSwJZEICJfPBi2sYW0Kqq9qGWtj381QdHH7+3Xs9ptnfxqedEBUWFDJEY8OTBnfbk0fHZYvf60+wY0HvPGlPXJmQPaGCyWMyb2HUx7mxvDUYBzFSRETRKdjDb3omrRTWomFlU2XtTMDUEJsScJcaoYmog8XTIwoCmVqBogNJdFjyaAMu4FuQy+KYIDFXNzIgYi2aAOOcUY5dzZmYiKGAIACpoYUSqavCDH/5gNPKWumowRMiq2RFtbmxc3rsYvOuaaGhsmJsud12Cjs8bf19VIdTVcFANB/VgAISr1fr07PRkvrp/+97f/uVftvMzR/WN17403thE5th1OWdEyiJxMZf5QTAaXLo+Hm+oCqhJ1thFUXXei2TNKgnI8dbODiDlpIZgqtPhJMXUdGm2OascN816sZwvl8ssEuoaEVLssopIRsWzxam0h7Pam4GC9OB/DzwhIxLiY7wIq6oqdVNZeiUsAhhzaXAkxggAiBwq55xDQwAq7SoYINLWzua//Z//zeZkbIaWU9slBeu6GLxbr5Z379ynurqyt1ezJ6/eD1Tp1p3bYnBwcDQ/Oz05XZydLY+PTxbzxbppVEXQLGrKCTHtXbz4g3/5ry9sjwFwMh7v7u5OJpOcu/sfvffOf/7r27+6u5psvPzqa8+9+HxwYToarVarLkZfBRXrmma1XHKo6sFgUFer5QqQfHDSxcq5plkfn50OhvVkNGi6TsxEgFTq4bAejVbzs66VmOWzj969ebnarr0BAqOpQq91OwfrrK+LzQzrui7V/HBYl2bnHK1DYkYA58g533URf2OHmxkiEBAyrVfLZ5575r//N384qZwnFpW2bUpmOzo8euvnb//5X/8kG0xmI+fc4mRxtpx3XZdyFpHS4CJa35n1mlj1FEQ1k0oWFqaKAKgO1fb29sbGRts2R48O5otVyiqQPdFwNByOhteuXp3OpqPR8Nq1a089/bnJuGpW87aLg2pQezpdLLa2tpfLtavDaj6fVoPDk9N1s86WAIDZh6ry3gXi1dl81cRM2K5Wj2598PXXn4F2Rc5ZXw+V9QhSOmA1Zi7p2j2GE733TdMS9YlbVEWFAHPW85ayB+/PI2kB53U6GX/wwSd/8Zd/8wff+2blPaCG4L0PXdcFF2Ybwys7kx//4h13wGbl7KPSUiETQ5HrlfPOemmHIfmliUdiQaJARKKJENu2uXv3zt27dxBREVUFGBwSEC7Xq6ZtDw8OAczA6rre2b3w9NNPfe0rbziHk+Ho0YODDvX6/rXlyWkT29l00q3XKcb5YhEGVQih7eLZ6TJr7ro2J0HmjeHkozf/8fnn9iV1gUlEXahMCvcIBsBlehKfiw0QuMAQAOYcX7x4sWmaAgsWmto516cb+v8kJUQkJEQgAkB0zn343ntX9ve3tzY/+uhXZ/PVYtEs5utPP/lMxV7/2lduf/DJ8bxlMCAmNOhpOzPT37DbFEcLgiEDsioRCaqRohICgSGxUzHAQrULoQEgAUFvbegLa1WYz08//vjTv/6rn/z0Zz977/33jo9PR5Ppzs7OdDw4eHB/vVqy97PRSHI+PDg8ODh++ODh8eHR6nSZRQfTyeZg/E8///H29uDFZ26YZQQEZkMjOC+K+r8A5bmCEREWb4SZzWYTIu66aGbM/Fj9UxI9nAMQ1os/CQGQAQyBiQziuqG62tyYLpfrwXBASI8ePXzm6Se/+sZv7WzvOOI//7O/+NufvWkFF7cewS6hua8Ufh2LUKyUflRMIdoXG/AYju+1W6IGxkQCgAXbpr6BLggOIivAcFD/7ve+fXa2+Ma3v3Zpb8urHB+cLNdt16ybpuuSsAuhrpgdEiPIw7sP3n7z50/e3Hn91WcsJyocCxOgcTkR9Tf3aT+nB8yMi3wDAOq6SikXcKSsODEpKhzs01bfmBJxjzj3RFMZfZvIkWQdjkerxaJr18v1Ym9vb2/nwnRjww8GX3rttc/dvHH/zp3TZYOODBQBeh1C4aPEmFjPv4QeAoLH14sI2h/dBaZqquWqCj6Scy5i5bLkCVkRyISc+873vrN/Yftnf/d3//TBp5dvPrW1PRzUG9PxoKoHrq6vXL129erVqnIptlHl9sef/vQnf/fqF5945YV9EkWgUlyX84uQ+37oMehVrgoBCYjPAz+GUMFvjPYwKLoleozBPw6dZoV9L36VvlGNKXsX0PFwOMwiknNOqarC5554khCruk6Sr17b/9Y3v35hc3Zw79Fy3hgRUBHmopgRQX9aLFF/6u75r+l/OTz+1wCAiUpEL7zNeW5EM0BEBkhgs62d3/nubz/z9BPz+fzW++8/Ojo4OVm9+MLzk0ENEAR1NB5pTge37yxXS3HUHJy8/86bP/z+60/s76oCFmDvPC4yERVHSSHJewa4Bw4Ngb335f6VpuhxWOyxpr6PfMy1lXDaqy2pF9EjAuScmYmYfQht06hoSmk8Hj9x4/pkMkEAJGQffKhvPvnUK196iVk+++xWzMjOCZSj/YDO+cDHUrK+xjiflvc4Zz4uPM7f6XmLZoZExJRSfPa55/7lv/gX+3uXHh08bJvm3r3bo+Du3L3X1qMnnrpZQ1qu5918CUS+Dkg2Gg0efvbJb7365MaANQsWrAx//WJm5wKzKwJ+MyvpGgAQTAGYmcrurkKw3+h8/v8XTfS4MYXyZdE1ltWdRdg5do6ZU4yM1KybK/tXnvrcU3VVOWTnnKpWg3pU15Wvv/KlL3/3m99anp0cH5/kJIBIyD0z8OvVgL9xHf0Xv3nvyq82K9fWXxUzXbt+/Z/98Iff/fa3IMX5fLlOsZ2f3P3o44WDr738zDt/+/cf3z1x03BxZ9cPQjo9aVfLvSuX/+Mf/QhCunpxCrmcFpOogLznb56ZkZnYKSA5LqPqsD9z1UpfhwDAxMFXBr9em6WAKgg5lj2FUKQP9Ph5lfxA+PgbZpNxitEUcko5p5s3b1y/fm00HJbgbQA5ZwQcDUdJZLA1/crXvvyFzz/PAEeHB00RuxI5LlRridH0G+QrAFjZDz2Z2RMMBGaF0X3uuWd/8P3f+4M/+Gf7Fy4uz06S5dVixYS5Wz+49dnupe3vfv2F2QDf/ukvfvrjn354697yaL6I8d69+3/6R//hYLn8xusvVZgJudAgpATYqwuYyDEjEzEDMEI5/07x/GxLAHDnccgQEdTKTXwcfeDctUpcDGa9XJEQ7TFDC5ZS7FJk5bZpQ1URkKRkpoNBjWqg5kNAJjEwtdOTk6y6sbkJMXemV65d+e/+h//2+z/8/ltvvvWTn/zdrTt3judn2AsJ+1CI5zNa+ogKPV9IZRycwWw2e+mlF775ja9fuXJ5uVzk2FnTtGeLZc6gApg150j01S9/YeDtpRefef7q1XdvPfjpLz/4q3ffykrK9tyzN37/jS9OvJoUNh6IUKkfHtOPqwAoLCWSMwVFBkBBKPITNELnHKIR8WQyTqkI2Prog4jERIDU229KALWeXwRABhEx1ZxzSgqIk9lsVIcYuy7ltmn/4A9+//rlvbqqRoMhe4dcMH/LZsN6OKiqejAo8I+BhhAGdf3wwcNf/vLtt99577NPbz08OGhjVAPA1K9LYhUhJkIm4OnGdO/ShS++/MIXnn+2sy4KrFdd17RdjJLz4eGRIYAPg8CHD27fu3v3X3//qx46NkqkVRU8cNOm9bL58M33X/jqyxzYQEnBIxtAAnWIiFZaPkWoqpoJXahVycwkJynKTkuACirucc4p0CedCyqhMOnnRZWo/jqKAZTvSTGVpSqiOSckMtNy1o6qOk/DYc1Inp32Gj1FRHeOnTRNs24aIvI+OO+6LnZdV1XVSy+/9Nzzn8+ijx7ef/jgwaP7Dx8cPAIkIg51xd4Nh6Pd6ezq9Wsb25uXLu0MGBaHx/ePO1fVQ1+T81WSZJJEmsVyMZ/DIIyn0995civAWhTIEaDGpjVwWHlpm60nLpEJAYGBFtujqkcUNFe2Rdkiqsiup1TBiEAQ1KRsdkQqEDA/vqc5Z0R8jIA8TkEAgAiqAkBq0Ka1ihR2XUQkZxFFMy3TV8wAdGNjVvUbXDWlUV3VVfDOO+ftXPajADHms/k8qzDTxmTato0i1lU9rPzNa1efuHE9qw28r4dDZi729pwzoHRdQnQq2Bm78ealanS2XCERJmsobg5H42qQNa1O56tuffTwAUt24Nl5USBiJsqYzZidW3/20O1fLrSuAxIwcExqKEWtULyRWEbxmFmxFmRRM2EEsXK2JbtSP5YXM7dti4iqgojM7jxsIYA+TqCqRfqDZQgrAjJ7SIIIqppSzDmD2c3r15iMHIup4zJKDBjJVH0IZurYsfejMU/SuI3ROQaRyXjSdR2YYfA5ZzBsmxjV5jGZmWQBszqE5WrZtm0hRYhptVpLl5ZNU1WVc9x03Wq+yCllTQMXCCimlHVsiMvFsaeaamfMCCixm+7MqtsPD+490qxbF7cHdRUtOTMBcyVO97nFJOcivWR0KhlNCc0QzPqN2/dCiBS8d875EM5hiN5QVkIAUTlM2Pp6uW+DiJ0jdIiYcyTC4Whcjugkos899dT2bAoKqlZVlS+vEKAPLAYAyGyqVR2895ubm6N6UAdf1TUixS7mFFfrFTIFRsc8GlajQTWoq+lkPKiq6eZksjEZDMJoNGAflqv1o8PDelC3TSuSPWITm0fHR0mEzbq2mQaRbsGODx48MNDhcNwu51aFQaZVG7euXqiz3L13vx4N6jqwmZyzP4gk5/cLkQkpx0Ro2uvh1QwKauEcAwAUwe7GZJxzBgTtR3kpExVIJsUIjAjYrLq+xEaTMjSDEQygIVHr2hg8p5R3drYm48l4NPauNgR23teDMBoyc/A+5xRCAMBQ1947MBUFUGnWzXx+ejpftF23XK19cDmlHJMBdzGenJ6uVovVet2sm2a1bJp2fnrWNq0RX7x25d/+L//Tpb1Lpyen0kX1HGPnIV/a2o1NPD467EAPHj2qzcJouLu5KygSIYQRZzg8feCCkHa2UW20I9R8990PLz/9hKNy0KKCGRImFYcoIt269c43OQ5q3y7XMabxdByci7FzF7dnAIBG083Zv/rhD0pDZ6qqxuAciUBmFz7++PbDk5PPPX3z4a2D45N1PXUAdufWrU8+vVcMXUhlpA6ZWc7xypX9yWyWDEyyGEw3h0BcYLecBRBjSjnltu0YMYMBwDu//MWDh4ePjh7NF8vFfL5aNatV2zTrXNSKqkXNDUUl3OfJIsLPH77/4Y/+7C/+1fe+Z1t2cv+RT3m4seGLk26cu265Ojw7Widr14MmrxadkvrqlJlqRzkmAVj/6s5sVJ+dLsdbU005zpdNitPZjJlNOgMBUCXOgLHRn7z12dE6V16I0HmeTUexXROIu/vglJlDCF//9m/vXLwClmNMJqaxJYLxbHzw6MGDW3euXN0/O1ncv/soowPP49Fwe3vyjS9e/dF/+Pt/fPfTDCCqjlzOHZIHo/0L20PnpuNpVVc5ZZCk0aJJoURKimNmJgS16cbOx+/8/N/9u/993iwYqCf5+rZMFQSBmclMnXNIjEimknOCIoxHRKQ/+X/++OUXP//Uhb28uyVmLEDjyRKXWageDatlPeEQNnwSkdyqYFoliHJKpgAELsd8B09N7cHpu2BytI6rZl3VFbOrglNIVRXQXB3C2SreOp6fKoOqJTVifyDNeqViDlCT6JPXb37lS6+ORvXy9MRZyjk3i9Ok+e/f/MX8eC45y+37mqV5ZLPtLQhwcrbcHPInn8Qr+0++/cGdvYs77733Eag6x9lwZ3fnws5mQVjJsaaIYKbCHEoFhlR0jARmgOAx/+kf/+h0uXLEgmXOYg8eE6FzQcUQ0cTUgAzMtDhGiqoSDMFA2vwn//5P/8c//ENgZgHlouokE0DAcT08fNCaxeGoGlc0dEimfjouv0vV0A/7URYCoGgKSXI8XnVtml7eAqJHD0/nbcpgMVsnrmtXWYUcO+S4XpTV4ciQCX/nt7+7vb17enJcjca6WiG4zd3Lbdsu15+enM7DZKiNAHMY0ulyEZxz1m5tP3H79r3//Pf/kHM8eHBQD4bKikgmaWd3sxrUhlAPh1nEh5DNqKDCCFA8zdbXXnUd7nz4zptvv4+kal5NAEQUiIiL3cEIe3qr10w8zqGPYWZEqJy79dmtk9Pj8WS07Fp3DuybatGY3DlcffjpZ9VwNNvcrJicpwujxcxXFapC8sGHUCzX4IYDA5lO6lYgrc7i2XLj0uac0mzoO9HD1TJ1zQi4MbUsTEYKTD6n7Nj7l15+6eVXXl52K6w8WM4pNqtu3cbJdPrUtRujULVNw86toubcrebNMsn3f/8bWxd2quHk//jj/+hCbaDDqgJUAagZr1++hBxCPZCUqioUiRoRIxIBiiiWZ0gIBkPGH//tTxZd9g4yJiylRD9U0VQVoJi9CjZEampWsiY9DglmpsSx6ebr5XQ6IiZGMgESQ7W2bRVhZ2//zCDldNY1kFXUPnkonmBn5HcqHhJ76mKMiOCdJ8dooqqaxK8w3j9FAIPYtGkFyIFVsgcGNCOHTOy8B3CT2eRb3/5GMFvM1xs722cHB6kTYvfw4d1Pb98ecv3lL7/xyVvvjC/MPvrk9rJ1QOuXXnz+5o1r5Ojowa2ckq9DtojgyXDkcTwYjEajKtTMrsza8M5nyWZmqrkYyRFNAD2Tg2a1/Okv3mJ2CAqWwfgxWPm46xAVBACDbHoOzZRvoHMqCdUsxXjaNPvoEGKXIypkKWI8ztHqgZ/NNiDDOqXYrWKOqUld2x6erSYXt7wBEzWSgNjHZClJymBaB7owncxza441ukXTBeRQucrVQMGcPzw+UQAiSqr0wuc//9Lznz87OilnE6yW68Fk0km+fe/e0Wq9eXG7rmk2HW1tb21szsjxtZs3XnvtlfXZKcX46Ue3jEizoLEDnY346s5wEmA2myBSNawVoJxF552XLAYl+5OBuTLOkfCTW3ceHZ0SoVrP2537Mh7fNVATNTFQ0ayq1m92KE7QovM1tRzjZ3fuGbJjQrAUE3uXcgJCH6q6Gl68eOXCpUs+eD+oBvU4DP14NBwPNxbCx1HamJncwIdB8JPgHAIgRpF1jsXoMI9da+CZPCMgVA4v7my3CZKgqLEL/y9e8Djcv6JRkwAAAABJRU5ErkJggg=="] + description: |+ + List of base64 encoded strings of input set of support image files. Maximum of 20 files. Supported file format: jpeg, jpg, png. Each image should be cropped to the object of interests. + file_type: + x-name: file_type + type: string + default: false + example: jpeg + description: |+ + The file format of the input image. Optional parameter with default value as jpeg. + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/index.yaml b/index.yaml index 36290d146..561430f3f 100644 --- a/index.yaml +++ b/index.yaml @@ -197,6 +197,10 @@ computer vision: versions: 1.0.1: 'face_recognition.yaml' 0.1.0: 'face_recognition_v0.1.yaml' + few_shots_object_detection: + title: Few Shots Object Detection + versions: + v0.1.0: few_shots_object_detection.yaml masked_face_recognition: title: Masked Face Recognition versions: From 850e27dbed1b5435a48a7a62eea1fe7fc476cd42 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 23 Mar 2022 21:05:08 +0800 Subject: [PATCH 3852/5916] japanese ner yaml added --- nlp/named-entity_recognition_jp.yaml | 155 +++++++++++++++++---------- 1 file changed, 101 insertions(+), 54 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index ebf197743..e4394c138 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -33,7 +33,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 25, 2022" + description: "Published Date - Mar 23, 2022" paths: /microservices/nlp/japanesener/v2/getpredictions: post: @@ -49,29 +49,58 @@ paths: example: message: Successfully Processed results: - age: - - '56' - countx_other: - - 2稿 - - 8口 - doctrine_method_other: - - 険所コホ特室りょ - n_event: - - 受1 - numex_other: - - 百経 ordinal_number: - - 30弾 + - entity: 30弾 + start: 0 + end: 3 + doctrine_method_other: + - entity: 険所コホ特室りょ + start: 16 + end: 24 person: - - くぼ - - 壮 - - 琢紫 - - ナユ + - entity: くぼ + start: 24 + end: 26 + - entity: 壮 + start: 74 + end: 75 + - entity: 琢紫 + start: 83 + end: 85 + - entity: ナユ + start: 98 + end: 100 product_other: - - 都合ヘラアニ限 - - 議帳 + - entity: 都合ヘラアニ限 + start: 26 + end: 33 + - entity: 議帳 + start: 104 + end: 106 + countx_other: + - entity: 2稿 + start: 33 + end: 35 + - entity: 8口 + start: 79 + end: 81 + numex_other: + - entity: 百経 + start: 92 + end: 94 + n_event: + - entity: 受1 + start: 108 + end: 110 + age: + - entity: '56' + start: 130 + end: 132 show_organization: - - 左成相態 + - entity: 左成相態 + start: 172 + end: 176 + status: Success '401': description: Unauthorized @@ -146,72 +175,90 @@ components: description: Json Object of returned results properties: age: + x-name: age type: array - items: - type: string example: - - 56 + - entity: '56' + start: 130 + end: 132 description: "age details found in the text string" countx_other: + x-name: countx_other type: array - items: - type: string example: - - 2稿 - - 8口 + - entity: 2稿 + start: 33 + end: 35 + - entity: 8口 + start: 79 + end: 81 description: "countx other details found in the text string" doctrine_method_other: + x-name: doctrine_method_other type: array - items: - type: string example: - - 険所コホ特室りょ + - entity: 険所コホ特室りょ + start: 16 + end: 24 description: "doctrine method in the text string" n_event: + x-name: n_event type: array - items: - type: string example: - - 受1 + - entity: 受1 + start: 108 + end: 110 description: "n_event in the text string" numex_other: + x-name: numex_other type: array - items: - type: string example: - - 受1 + - entity: 百経 + start: 92 + end: 94 description: "numex_other details found in the text string" ordinal_number: + x-name: ordinal_number type: array - items: - type: string example: - -30弾 + - entity: 30弾 + start: 0 + end: 3 description: "ordinal_number details in the text string" person: + x-name: person type: array - items: - type: string example: - - person - - 壮 - - 琢紫 - - ナユ + - entity: くぼ + start: 24 + end: 26 + - entity: 壮 + start: 74 + end: 75 + - entity: 琢紫 + start: 83 + end: 85 + - entity: ナユ + start: 98 + end: 100 description: "person details found in the text string" product_other: + x-name: product_other type: array - items: - type: string example: - - 都合ヘラアニ限 - - 議帳 + - entity: 都合ヘラアニ限 + start: 26 + end: 33 + - entity: 議帳 + start: 104 + end: 106 description: "product found in the text string" show_organization: type: array - items: - type: string example: - - 左成相態 + - entity: 左成相態 + start: 172 + end: 176 description: "organization details found in the text string" message: type: string @@ -310,7 +357,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 25, 2022 + example: Published Date - Mar 23, 2022 x-details: Updated version release v1.0, entity positions returned description: Latest Version v1.0.0: @@ -320,7 +367,7 @@ components: - type: string example: Published Date - Sep 30, 2020 x-details: Updated version release v1.0 - description: Latest Version + description: Version 1 release v0.1.0: type: array items: From 8c5fef95d77f2d5f4989d3f6501c5035c23986a4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 21:16:53 +0530 Subject: [PATCH 3853/5916] Create content_profile.yaml --- data_analytics/content_profile.yaml | 586 ++++++++++++++++++++++++++++ 1 file changed, 586 insertions(+) create mode 100644 data_analytics/content_profile.yaml diff --git a/data_analytics/content_profile.yaml b/data_analytics/content_profile.yaml new file mode 100644 index 000000000..dbdf4b107 --- /dev/null +++ b/data_analytics/content_profile.yaml @@ -0,0 +1,586 @@ +openapi: 3.0.1 +info: + title: Content Profiler + x-subscribelink: content_interest_profiler + description: |+ + This microservice returns all content profiler. + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"content_ngrams":"solutions"}} + * **match** - Search within a full text field for a single word + > {"match":{"content_ngrams":"solutions"}} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Feb 01, 2022" +paths: + /microservice/dataanalytics/cip/v0/getcontentprofile: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 95 + max_score: null + hits: + - _index: cip_content_profiler + _type: cip + _id: >- + content_profiles/1_www.sentient.io_sentient.io-general-microservices.json + _score: null + _source: + createdDate: '2022-03-23T11:10:12+00:00' + objectKey: >- + content_profiles/1_www.sentient.io_sentient.io-general-microservices.json + content_type: text/plain + content_length: 49781 + content_format: url + content_ngrams: + - Recognition + - microservice + - feature + - Recognition capabilities + - capabilities + - detects speech + - speech + - audio file + - file + - wav + - wav format + - format + - speech content + - content + - audio stream + - stream + - text + - transcript + - transcript text + - utterance + - continuous piece + - piece + - speech beginning + - beginning + - clear pause + - pause + - free account + - account + - array + - different language + - different language and voices + - language + - language and voices + - voices + - speech platform + - platform + - best suit + - suit + - application + - requirements + - Enable natural communication + - natural communication + - communication + - users + - devices + - speak humanlike voices + - humanlike voices + - end-to-end voice + - end-to-end voice user + - end-to-end voice user interface + - voice + - voice user + - voice user interface + - user + - user interface + - interface + - interface together and improve user + - together and improve user + - together and improve user experience + - improve user + - improve user experience + - user experience + - experience + - easy and engaging interactions + - engaging interactions + - interactions + - free Named Entity + - free Named Entity Recognition + - Named Entity + - Named Entity Recognition + - Entity + - Entity Recognition + - named-entities + - named-entities classes + - classes + - input + - named-entity + - named-entity classes + - persons + - locations + - organisations + - microservice automatically extracts structured information + - automatically extracts structured information + - structured information + - information + - unstructured text + - unstructured text data + - text data + - data + - chatlogs + - emails + - news + - news articles + - articles + - claim free 50 API + - free 50 API + - 50 API + - business + - business challenges + - challenges + - use + - use case + - case + - catalogue + - pre-trained AI + - pre-trained AI microservices + - AI microservices + - microservices + - quickly and easily Straightforward API + - easily Straightforward API + - easily Straightforward API implementation + - Straightforward API + - Straightforward API implementation + - API implementation + - implementation + - detailed documentation + - documentation + - documentation and responsive technical support + - responsive technical support + - technical support + - support + - per-API-call pricing + - pricing + - short video + - video + - shares + - informational video + - applications + - ways + - reality + - systems + - team + - experts + - ai clinic + - clinic + - free consultation + - consultation + - co-lab programme + - programme + - structured programme + - discover and trial + - discover and trial AI + - discover and trial AI solutions + - trial + - trial AI + - trial AI solutions + - AI solutions + - solutions + - platform Sign + - Sign + - microservices and demo + - microservices and demo apps + - demo + - demo apps + - apps + - prime time + - time + - companies + - industries + - businesses + - businesses using Sentient.io + - using Sentient.io + - Sentient.io + - Contact + - Sentient.io AI + - Sentient.io AI journey + - AI journey + - journey + - Clients + - 138523 enquiry@sentient.io + - 138523 enquiry@sentient.io Copyright + - enquiry@sentient.io + - enquiry@sentient.io Copyright + - Copyright + - message + - status + - success + - htmltext + - HDB + - Pulse + - step + content_categories: + - technology/business technology/business intelligence + - careers/courses and program/language + - careers/job by industry/telco + - news/business news/telco + - news/domestic/news + - news/international/news + - news/local/news + - technology/business technology/systems + - careers/job by industry/healthcare + - news/business news/healthcare + - technology/mobile phones & accessories/apps + - news/business news/general + - news/sport/general + content_groupcategories: + - technology + - careers + - news + - technology/business technology + - careers/courses and program + - careers/job by industry + - news/business news + - news/domestic + - news/international + - news/local + - technology/mobile phones & accessories + - news/sport + site_id: '1' + sort: + - 1648033812000 + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: number + example: 95 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + createdDate: + type: string + example: 2022-03-23T11:10:12+00:00 + description: Created date of the content profile + objectKey: + type: string + example: content_profiles/1_www.sentient.io_sentient.io-general-microservices.json + description: object key of the content profile + content_type: + type: string + example: text/plain + description: Content type of the content profile + content_length: + type: number + example: 49781 + description: length of the content profile + content_format: + type: string + example: url + description: format of the content profile + content_ngrams: + type: array + example: [ + "Recognition", + "microservice", + "feature", + "Recognition capabilities", + "capabilities", + "detects speech", + "speech", + "audio file"] + description: list of content ngrams + items: + oneOf: + - type: string + content_categories: + type: array + description: list of content categories + example: ["technology/business technology/business intelligence","careers/courses and program/language","careers/job by industry/telco","news/business news/telco","news/domestic/news","news/international/news","news/local/news","technology/business technology/systems","careers/job by industry/healthcare","news/business news/healthcare","technology/mobile phones & accessories/apps","news/business news/general","news/sport/general"] + items: + oneOf: + - type: string + content_groupcategories: + type: string + description: list of content group categories + example: [ + "technology", + "careers", + "news", + "technology/business technology", + "careers/courses and program", + "careers/job by industry", + "news/business news", + "news/domestic", + "news/international", + "news/local", + "technology/mobile phones & accessories", + "news/sport"] + site_id: + type: array + example: 1 + description: site id of the content profile + items: + oneOf: + - type: string + + sort: + type: array + example: 1648033812000 + description: list of sort + items: + oneOf: + - type: string + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 01, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match":{"_id":"interest_profiles/interest_profile_a8448456964b2f8c.json"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From c79351fb241a651c2014d3446792482670bafeed Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 21:17:44 +0530 Subject: [PATCH 3854/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index 561430f3f..fcab9ddde 100644 --- a/index.yaml +++ b/index.yaml @@ -187,6 +187,10 @@ data analytics: title: Rule Engine versions: 0.1.0: 'rule_engine.yaml' + content_profile: + title: Content Profile + versions: + 0.1.0: 'content_profile.yaml' computer vision: object_detection: title: Object Detection From 422eef30ae924966ff018f102d8dbfeec2e6f5ec Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 21:21:37 +0530 Subject: [PATCH 3855/5916] Update content_profile.yaml --- data_analytics/content_profile.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/data_analytics/content_profile.yaml b/data_analytics/content_profile.yaml index dbdf4b107..f92de33b9 100644 --- a/data_analytics/content_profile.yaml +++ b/data_analytics/content_profile.yaml @@ -8,9 +8,13 @@ info: **Match Types:** A match type is a match operator. The supported match types are: * **match_phrase** - Search within a full text field - > {"match_phrase":{"content_ngrams":"solutions"}} + > {"match_phrase":{"content_ngrams":"solutions"}} + > {"match_phrase":{"content_categories":"news/local/news"}} + > {"match_phrase":{"content_groupcategories":"technology"}} * **match** - Search within a full text field for a single word > {"match":{"content_ngrams":"solutions"}} + > {"match":{"content_categories":"news/local/news"}} + > {"match":{"content_groupcategories":"technology"}} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ From 856a6967ce5189a12c4b51135dc6496753dbb086 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 21:22:09 +0530 Subject: [PATCH 3856/5916] Update content_profile.yaml --- data_analytics/content_profile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/content_profile.yaml b/data_analytics/content_profile.yaml index f92de33b9..4743261ce 100644 --- a/data_analytics/content_profile.yaml +++ b/data_analytics/content_profile.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: title: Content Profiler - x-subscribelink: content_interest_profiler + x-subscribelink: content_profiler description: |+ This microservice returns all content profiler. x-additionalinfo : |+ From 5af57f622cdf475679c2a022e4bdb92c59665d31 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 21:25:16 +0530 Subject: [PATCH 3857/5916] Update content_profile.yaml --- data_analytics/content_profile.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/data_analytics/content_profile.yaml b/data_analytics/content_profile.yaml index 4743261ce..80e60f10a 100644 --- a/data_analytics/content_profile.yaml +++ b/data_analytics/content_profile.yaml @@ -11,10 +11,13 @@ info: > {"match_phrase":{"content_ngrams":"solutions"}} > {"match_phrase":{"content_categories":"news/local/news"}} > {"match_phrase":{"content_groupcategories":"technology"}} + > {"match_phrase":{"content":"articleUrl"}} + * **match** - Search within a full text field for a single word > {"match":{"content_ngrams":"solutions"}} > {"match":{"content_categories":"news/local/news"}} > {"match":{"content_groupcategories":"technology"}} + > {"match":{"content":"articleUrl"}} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ From 69801ee5681476a2a65e020b8b57cb80b8b1d9ff Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 21:39:30 +0530 Subject: [PATCH 3858/5916] Update content_profile.yaml --- data_analytics/content_profile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/content_profile.yaml b/data_analytics/content_profile.yaml index 80e60f10a..82802f581 100644 --- a/data_analytics/content_profile.yaml +++ b/data_analytics/content_profile.yaml @@ -579,7 +579,7 @@ components: default: false items: type: object - example: [{"match":{"_id":"interest_profiles/interest_profile_a8448456964b2f8c.json"}}] + example: [{"match":{"_id":"content_profiles/1_www.sentient.io_ai-colab.json"}}] description: |+ Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match From b9b36d7f5337307d0bb632ae722f42e612de9ae4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 21:40:59 +0530 Subject: [PATCH 3859/5916] Create interest_profile.yaml --- data_analytics/interest_profile.yaml | 815 +++++++++++++++++++++++++++ 1 file changed, 815 insertions(+) create mode 100644 data_analytics/interest_profile.yaml diff --git a/data_analytics/interest_profile.yaml b/data_analytics/interest_profile.yaml new file mode 100644 index 000000000..58cd9a157 --- /dev/null +++ b/data_analytics/interest_profile.yaml @@ -0,0 +1,815 @@ +openapi: 3.0.1 +info: + title: Interest Profiler + x-subscribelink: interest_profiler + description: |+ + This microservice returns all interest profiler. + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} + > {"match_phrase":{"content_ngrams":"solutions"}} + > {"match_phrase":{"content_categories":"news/local/news"}} + > {"match_phrase":{"content_groupcategories":"technology"}} + > {"match_phrase":{"external_id":"0"}} + * **match** - Search within a full text field for a single word + > {"match":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} + > {"match":{"content_ngrams":"solutions"}} + > {"match":{"content_categories":"news/local/news"}} + > {"match":{"content_groupcategories":"technology"}} + > {"match":{"external_id":"0"}} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Feb 01, 2022" +paths: + /microservice/dataanalytics/cip/v0/getinterestprofile: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: null + hits: + - _index: cip_interest_profiler + _type: cip + _id: interest_profiles/interest_profile_a4bbe6221f51f0d9.json + _score: null + _source: + createdDate: '2022-03-23T11:10:37+00:00' + objectKey: interest_profiles/interest_profile_a4bbe6221f51f0d9.json + content_type: text/plain + content_length: 27955 + content: >- + {"uid": "a4bbe6221f51f0d9", "type": "interest_profile", + "last_updated": 1648033836, "categories": [{"name": + "technology/business technology/business intelligence", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "lifestyle/Social Media and + Blogging", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_category": true}, {"name": + "news/international/news", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_category": true}, + {"name": "technology/business technology/systems/software", "score": + 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "technology/software", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "news/local/news", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "news/domestic/news", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}], "groupCategories": [{"name": "news", + "node_level": 1, "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_category": true}, {"name": + "technology", "node_level": 1, "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_category": true}, + {"name": "lifestyle", "node_level": 1, "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "lifestyle/Social Media and + Blogging", "node_level": 2, "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_category": true}, + {"name": "technology/business technology", "node_level": 2, "score": + 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "news/domestic", "node_level": 2, + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_category": true}, {"name": "technology/software", + "node_level": 2, "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_category": true}, {"name": + "news/international", "node_level": 2, "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "news/local", "node_level": 2, + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_category": true}], "n-grams": [{"name": "Nat", + "entity_type": "person", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "tagging", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Entity", "entity_type": "misc", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "software", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "developers", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "successful launch", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "trial AI solutions", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "top + microservices", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "speech input", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "help + developers", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "key + entities", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "pre-trained and industry-proven models", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "gent", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Technology Partners", "entity_type": + "misc", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "AI + Co-lab AI Clinic Use", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "text", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "PRODUCTS AI", "entity_type": "misc", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "AI solutions", "score": + 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "models", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "curated public and private datasets", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "AI", "entity_type": + "misc", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "convert text input", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "together upon successful launch", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "Discover", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "input", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + 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1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "datasets", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Sentient.io AI & Data Cloud + Platform", "entity_type": "organization", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Fusionopolis Place", "entity_type": + "organization", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Recognition Accurately convert speech input", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "u2014", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Sentient.io", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Heartland", "entity_type": "misc", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "Automatic Speech + Recognition", "entity_type": "misc", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "138523 enquiry@sentient.io", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "business", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Accurately convert speech input", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "ura", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Heartland About Our Team Newsroom", + "entity_type": "organization", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "launch", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Clients", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "u672c", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Text-to-Speech", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "speech", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "entities", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Learn", "entity_type": "misc", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "Recognition Accurately + convert speech", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Easily convert text", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "solutions together upon successful launch", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "trial", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "microservices", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Copyright", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "public and private datasets", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "138523 + enquiry@sentient.io Copyright", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "Galaxis Work Lofts", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Team Newsroom Blog", "entity_type": + "misc", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "solutions", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "APIs", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "text + input", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "AI + Solutions", "entity_type": "misc", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "Automatic Speech", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "htmltext", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Home Products AI", "entity_type": + "misc", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "better categorization", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "success", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "upon + successful launch", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "Data + Partners", "entity_type": "misc", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "Us", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "convert speech", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "convert speech input", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Singapore", "entity_type": + "location", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "enquiry@sentient.io", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "HDB", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "content", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "enquiry@sentient.io Copyright", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "platform", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "Us + Privacy Policy CONTACT", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Recognition Identify key entities", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "public", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "provider", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Easily convert text input", "score": + 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Data AI Co-lab COMPANY", + "entity_type": "misc", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "curated public", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Accurately convert speech", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "Blog", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "industry-proven models", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "existing software", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "u8a9e Login Join", "entity_type": + "misc", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "capabilities", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "categorization", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Pulse", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "lli", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Data", "entity_type": "misc", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "message", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "TeamSpaces People Counting Object Detection Named Entity Recognition + Automated Speech Recognition Text-to-Speech", "entity_type": + "organization", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "View", "entity_type": "misc", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "u65e5", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Contact", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Investors", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "private datasets", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "English English", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "microservice provider", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "AI API", "entity_type": "misc", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}]} + content_ngrams: + - Nat + - tagging + - Entity + - software + - developers + - successful launch + - trial AI solutions + - top microservices + - speech input + - help developers + - key entities + - pre-trained and industry-proven models + - gent + - Technology Partners + - AI Co-lab AI Clinic Use + - text + - PRODUCTS AI + - AI solutions + - models + - curated public and private datasets + - AI + - convert text input + - together upon successful launch + - Discover + - input + - human speech + - trial AI + - Advocates + - Recognition + - status + - convert text + - microservice + - Identify key entities + - datasets + - Sentient.io AI & Data Cloud Platform + - Fusionopolis Place + - Recognition Accurately convert speech input + - u2014 + - Sentient.io + - Heartland + - Automatic Speech Recognition + - 138523 enquiry@sentient.io + - business + - Accurately convert speech input + - ura + - Heartland About Our Team Newsroom + - launch + - Clients + - u672c + - Text-to-Speech + - speech + - entities + - Learn + - Recognition Accurately convert speech + - Easily convert text + - solutions together upon successful launch + - trial + - microservices + - Copyright + - public and private datasets + - 138523 enquiry@sentient.io Copyright + - Galaxis Work Lofts + - Team Newsroom Blog + - solutions + - APIs + - text input + - AI Solutions + - Automatic Speech + - htmltext + - Home Products AI + - better categorization + - success + - upon successful launch + - Data Partners + - Us + - convert speech + - convert speech input + - Singapore + - enquiry@sentient.io + - HDB + - content + - enquiry@sentient.io Copyright + - platform + - Us Privacy Policy CONTACT + - Recognition Identify key entities + - public + - provider + - Easily convert text input + - Data AI Co-lab COMPANY + - curated public + - Accurately convert speech + - Blog + - industry-proven models + - existing software + - u8a9e Login Join + - capabilities + - categorization + - Pulse + - lli + - Data + - message + - >- + TeamSpaces People Counting Object Detection Named Entity Recognition + Automated Speech Recognition Text-to-Speech + - View + - u65e5 + - Contact + - Investors + - private datasets + - English English + - microservice provider + - AI API + content_categories: + - technology/business technology/business intelligence + - lifestyle/Social Media and Blogging + - news/international/news + - technology/business technology/systems/software + - technology/software + - news/local/news + - news/domestic/news + content_groupcategories: + - news + - technology + - lifestyle + - lifestyle/Social Media and Blogging + - technology/business technology + - news/domestic + - technology/software + - news/international + - news/local + external_id: 'null' + sort: + - 1648033837000 + message: Successfully Processed + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: number + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + createdDate: + type: string + example: 2022-03-23T11:10:37+00:00 + description: Created date of the interest profile + objectKey: + type: string + example: interest_profiles/interest_profile_a4bbe6221f51f0d9.json + description: object key of the interest profile + content_type: + type: string + example: text/plain + description: Content type of the interest profile + content_length: + type: number + example: 27955 + description: length of the interest profile + content_format: + type: string + example: url + description: format of the interest profile + content_ngrams: + type: array + example: [ + "Nat", + "tagging", + "Entity", + "software", + "developers", + "successful launch", + "trial AI solutions", + "top microservices", + "speech input", + "help developers", + "key entities", + "pre-trained and industry-proven models", + "gent", + "Technology Partners", + "AI Co-lab AI Clinic Use", + "text", + "PRODUCTS AI", + "AI solutions", + "models", + "curated public and private datasets", + "AI", + "convert text input", + "together upon successful launch", + "Discover", + "input", + "human speech", + "trial AI", + "Advocates", + "Recognition", + "status", + "convert text"] + description: list of content ngrams + items: + oneOf: + - type: string + content_categories: + type: array + description: list of content categories + example: ["technology/business technology/business intelligence", + "lifestyle/Social Media and Blogging", + "news/international/news", + "technology/business technology/systems/software", + "technology/software", + "news/local/news", + "news/domestic/news"] + items: + oneOf: + - type: string + content_groupcategories: + type: string + description: list of content group categories + example: ["news", + "technology", + "lifestyle", + "lifestyle/Social Media and Blogging", + "technology/business technology", + "news/domestic", + "technology/software", + "news/international", + "news/local"] + external_id: + type: array + example: 0 + description: external id of the interest profile + items: + oneOf: + - type: string + + sort: + type: array + example: 1648033837000 + description: list of sort + items: + oneOf: + - type: string + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 01, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match":{"_id":"interest_profiles/interest_profile_a8448456964b2f8c.json"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 16ad01d4373d47fd7d205befe9dc5ca69d6cd2c2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 21:42:09 +0530 Subject: [PATCH 3860/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index fcab9ddde..87a886053 100644 --- a/index.yaml +++ b/index.yaml @@ -187,6 +187,10 @@ data analytics: title: Rule Engine versions: 0.1.0: 'rule_engine.yaml' + interest_profile: + title: Interest Profile + versions: + 0.1.0: 'interest_profile.yaml' content_profile: title: Content Profile versions: From 303ec611ba7dbde10fff3916df0b15d91164a110 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 23 Mar 2022 22:48:23 +0530 Subject: [PATCH 3861/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index afa681b35..c76d5288b 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Rule Engine description: |+ - It provides a suggestion based on the core business rules. + It is an expert-system program, which runs the rules on the data and if any condition matches then it executes the corresponding actions. The inference engine is the component of the intelligent system in artificial intelligence, which applies logical rules to the knowledge base to infer new information from known facts. Inference-Engine’s program works in three phases to execute the rule on given data, Match, Resolve and Execute. version: '1.0.0' x-subscribelink: rule_engine x-apitype: small file @@ -17,7 +17,7 @@ info: x-notes: |+ File size cannot exceed 10 MB. x-apidetailsdesc: |+ - It's a type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm + Sentient’s Rule-Engine uses the Rete Algorithm for pattern matching. It is one of the best algorithms for pattern matching. servers: - url: 'https://dev-apis.sentient.io/ruleengine/microservices/dataanalytics' tags: From ce19839221c36514e27824a409aec6a025ab6254 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Mar 2022 09:45:17 +0530 Subject: [PATCH 3862/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index c76d5288b..75c2848cd 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -19,12 +19,12 @@ info: x-apidetailsdesc: |+ Sentient’s Rule-Engine uses the Rete Algorithm for pattern matching. It is one of the best algorithms for pattern matching. servers: - - url: 'https://dev-apis.sentient.io/ruleengine/microservices/dataanalytics' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Oct 30, 2020" paths: - /getsuggestion/v0/getresults: + /microservices/dataanalytics/ruleengine/v0/getresults: post: tags: - v1.0.0 From 70acb8756324cf57460c39dfe8e0ae2351c33396 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Mar 2022 09:55:50 +0530 Subject: [PATCH 3863/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 75c2848cd..3403b3f62 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -42,6 +42,7 @@ paths: suggestion: Please begin by choosing Create/Modify Global parts on screen or Create/Modify Global parts by download/upload master. Alternatively, you can request support here[link to chatbot]. + count: 1 '419': description: Input Field Missing content: @@ -83,6 +84,10 @@ components: type: string description: The message of the API call. example: Please begin by choosing Create/Modify Global parts on screen or Create/Modify Global parts by download/upload master. Alternatively, you can request support here[link to chatbot]. + count: + type: number + description: If result returns suggestion then count value will be 1 If suggestion returns empty then count value will be 0. + example: 1 servererror: type: object properties: @@ -148,7 +153,7 @@ components: Default value 0. Edit item of getting suggestion value will be greater than 0 example: 1 first_prompt: - type: string + type: boolean description: |+ Default value false.First prompt of getting suggestion value will be true/false example: true From 4b051d5e47f5bf13be401314d50135545affecee Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Mar 2022 10:05:21 +0530 Subject: [PATCH 3864/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 3403b3f62..e6d1126da 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -156,7 +156,7 @@ components: type: boolean description: |+ Default value false.First prompt of getting suggestion value will be true/false - example: true + example: false securitySchemes: APIAuthorizer: type: apiKey From 614966174243449cab1dec1a5b7beb0e1ded4d2b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Mar 2022 10:16:22 +0530 Subject: [PATCH 3865/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index e6d1126da..2c3f6b67f 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -132,7 +132,7 @@ components: description: |+ Time interval of getting suggestion value will be greater than or equal to 60000 example: 60000 - selected_mode: + selection_mode: type: string description: |+ Default value null. Selected mode of getting suggestion From 244a04f67b1e17d98378281645a9610b19f0df62 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 24 Mar 2022 11:17:37 +0530 Subject: [PATCH 3866/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 1f5160390..f7dcaa572 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -538,14 +538,12 @@ components: text_language: x-name: text_language type: string - default: True example: en-US description: |+ Specify the text language of the input text from supported languages, if required. If not specified it will automatically detect the input language. voice_name: x-name: voice_name type: string - default: True example: en-US-JennyNeural description: |+ Specify the voice name from the supported languages, if required. If not specified it will automatically takes the voice name. From e39efd714adb9bebb0d74509d8698743465ff9e8 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 24 Mar 2022 17:29:12 +1100 Subject: [PATCH 3867/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 2c3f6b67f..a9ce9cd81 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -5,7 +5,7 @@ info: It is an expert-system program, which runs the rules on the data and if any condition matches then it executes the corresponding actions. The inference engine is the component of the intelligent system in artificial intelligence, which applies logical rules to the knowledge base to infer new information from known facts. Inference-Engine’s program works in three phases to execute the rule on given data, Match, Resolve and Execute. version: '1.0.0' x-subscribelink: rule_engine - x-apitype: small file + x-apitype: Subscription x-apitypedescription: |+ Fast | Single-Call | 10MB/Call x-inputfilelimit: |+ @@ -13,11 +13,11 @@ info: x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ - The API is billed by per request. + Subscription Fee x-notes: |+ File size cannot exceed 10 MB. x-apidetailsdesc: |+ - Sentient’s Rule-Engine uses the Rete Algorithm for pattern matching. It is one of the best algorithms for pattern matching. + Sentient’s Rule-Engine comes with UI access to Rule Engine where user can create objects and define the rules. Later, using the get result API user can integrate into their application to get the respective rules trigger. servers: - url: 'https://dev-apis.sentient.io' tags: From f39c37af4fca1c4b99d153d2c9720ec007f10d82 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Mar 2022 12:52:28 +0530 Subject: [PATCH 3868/5916] Update and rename content_profile.yaml to content_interest_profile.yaml --- data_analytics/content_interest_profile.yaml | 1224 ++++++++++++++++++ data_analytics/content_profile.yaml | 593 --------- 2 files changed, 1224 insertions(+), 593 deletions(-) create mode 100644 data_analytics/content_interest_profile.yaml delete mode 100644 data_analytics/content_profile.yaml diff --git a/data_analytics/content_interest_profile.yaml b/data_analytics/content_interest_profile.yaml new file mode 100644 index 000000000..40620dc04 --- /dev/null +++ b/data_analytics/content_interest_profile.yaml @@ -0,0 +1,1224 @@ +openapi: 3.0.1 +info: + title: Content Interest Profiling + x-subscribelink: content_interesr_profiling + description: |+ + This microservice returns all content interest profiler. + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} + > {"match_phrase":{"content_ngrams":"solutions"}} + > {"match_phrase":{"content_categories":"news/local/news"}} + > {"match_phrase":{"content_groupcategories":"technology"}} + > {"match_phrase":{"external_id":"0"}} + * **match** - Search within a full text field for a single word + > {"match":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} + > {"match":{"content_ngrams":"solutions"}} + > {"match":{"content_categories":"news/local/news"}} + > {"match":{"content_groupcategories":"technology"}} + > {"match":{"external_id":"0"}} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all content interest profiler. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Feb 01, 2022" +paths: + /microservice/dataanalytics/cip/v0/getinterestprofile: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/successinterestprofile' + example: + results: + total: 1 + max_score: null + hits: + - _index: cip_interest_profiler + _type: cip + _id: interest_profiles/interest_profile_a4bbe6221f51f0d9.json + _score: null + _source: + createdDate: '2022-03-23T11:10:37+00:00' + objectKey: interest_profiles/interest_profile_a4bbe6221f51f0d9.json + content_type: text/plain + content_length: 27955 + content: >- + {"uid": "a4bbe6221f51f0d9", "type": "interest_profile", + "last_updated": 1648033836, "categories": [{"name": + "technology/business technology/business intelligence", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "lifestyle/Social Media and + Blogging", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_category": true}, {"name": + "news/international/news", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_category": true}, + {"name": "technology/business technology/systems/software", "score": + 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "technology/software", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "news/local/news", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "news/domestic/news", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}], "groupCategories": [{"name": "news", + "node_level": 1, "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_category": true}, {"name": + "technology", "node_level": 1, "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_category": true}, + {"name": "lifestyle", "node_level": 1, "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "lifestyle/Social Media and + Blogging", "node_level": 2, "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_category": true}, + {"name": "technology/business technology", "node_level": 2, "score": + 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "news/domestic", "node_level": 2, + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_category": true}, {"name": "technology/software", + "node_level": 2, "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_category": true}, {"name": + "news/international", "node_level": 2, "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_category": true}, {"name": "news/local", "node_level": 2, + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_category": true}], "n-grams": [{"name": "Nat", + "entity_type": "person", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "tagging", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Entity", "entity_type": "misc", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "software", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "developers", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "successful launch", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "trial AI solutions", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "top + microservices", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "speech input", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "help + developers", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "key + entities", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "pre-trained and industry-proven models", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "gent", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Technology Partners", "entity_type": + "misc", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "AI + Co-lab AI Clinic Use", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "text", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "PRODUCTS AI", "entity_type": "misc", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "AI solutions", "score": + 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "models", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "curated public and private datasets", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "AI", "entity_type": + "misc", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "convert text input", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "together upon successful launch", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "Discover", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "input", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "human speech", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "trial AI", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Advocates", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Recognition", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "status", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "convert text", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "microservice", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Identify key entities", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "datasets", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Sentient.io AI & Data Cloud + Platform", "entity_type": "organization", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Fusionopolis Place", "entity_type": + "organization", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Recognition Accurately convert speech input", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "u2014", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Sentient.io", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Heartland", "entity_type": "misc", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "Automatic Speech + Recognition", "entity_type": "misc", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "138523 enquiry@sentient.io", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "business", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Accurately convert speech input", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "ura", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Heartland About Our Team Newsroom", + "entity_type": "organization", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "launch", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Clients", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "u672c", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Text-to-Speech", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "speech", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "entities", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "Learn", "entity_type": "misc", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}, {"name": "Recognition Accurately 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"is_new_ngram": true}, {"name": + "View", "entity_type": "misc", "score": 0, "last_accessed_time": + 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, + {"name": "u65e5", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Contact", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "Investors", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "private datasets", "score": 0, "last_accessed_time": 1648006846, + "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": + "English English", "entity_type": "misc", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "microservice provider", "score": 0, + "last_accessed_time": 1648006846, "last_updated_time": 1648033836, + "is_new_ngram": true}, {"name": "AI API", "entity_type": "misc", + "score": 0, "last_accessed_time": 1648006846, "last_updated_time": + 1648033836, "is_new_ngram": true}]} + content_ngrams: + - Nat + - tagging + - Entity + - software + - developers + - successful launch + - trial AI solutions + - top microservices + - speech input + - help developers + - key entities + - pre-trained and industry-proven models + - gent + - Technology Partners + - AI Co-lab AI Clinic Use + - text + - PRODUCTS AI + - AI solutions + - models + - curated public and private datasets + - AI + - convert text input + - together upon successful launch + - Discover + - input + - human speech + - trial AI + - Advocates + - Recognition + - status + - convert text + - microservice + - Identify key entities + - datasets + - Sentient.io AI & Data Cloud Platform + - Fusionopolis Place + - Recognition Accurately convert speech input + - u2014 + - Sentient.io + - Heartland + - Automatic Speech Recognition + - 138523 enquiry@sentient.io + - business + - 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industry-proven models + - existing software + - u8a9e Login Join + - capabilities + - categorization + - Pulse + - lli + - Data + - message + - >- + TeamSpaces People Counting Object Detection Named Entity Recognition + Automated Speech Recognition Text-to-Speech + - View + - u65e5 + - Contact + - Investors + - private datasets + - English English + - microservice provider + - AI API + content_categories: + - technology/business technology/business intelligence + - lifestyle/Social Media and Blogging + - news/international/news + - technology/business technology/systems/software + - technology/software + - news/local/news + - news/domestic/news + content_groupcategories: + - news + - technology + - lifestyle + - lifestyle/Social Media and Blogging + - technology/business technology + - news/domestic + - technology/software + - news/international + - news/local + external_id: 'null' + sort: + - 1648033837000 + message: Successfully Processed + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /microservice/dataanalytics/cip/v0/getcontentprofile: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/successcontentprofile' + example: + results: + total: 95 + max_score: null + hits: + - _index: cip_content_profiler + _type: cip + _id: >- + content_profiles/1_www.sentient.io_sentient.io-general-microservices.json + _score: null + _source: + createdDate: '2022-03-23T11:10:12+00:00' + objectKey: >- + content_profiles/1_www.sentient.io_sentient.io-general-microservices.json + content_type: text/plain + content_length: 49781 + content_format: url + content_ngrams: + - Recognition + - microservice + - feature + - Recognition capabilities + - capabilities + - detects speech + - speech + - audio file + - file + - wav + - wav format + - format + - speech content + - content + - audio stream + - stream + - text + - transcript + - transcript text + - utterance + - continuous piece + - piece + - speech beginning + - beginning + - clear pause + - pause + - free account + - account + - array + - different language + - different language and voices + - language + - language and voices + - voices + - speech platform + - platform + - best suit + - suit + - application + - requirements + - Enable natural communication + - natural communication + - communication + - users + - devices + - speak humanlike voices + - humanlike voices + - end-to-end voice + - end-to-end voice user + - end-to-end voice user interface + - voice + - voice user + - voice user interface + - user + - user interface + - interface + - interface together and improve user + - together and improve user + - together and improve user experience + - improve user + - improve user experience + - user experience + - experience + - easy and engaging interactions + - engaging interactions + - interactions + - free Named Entity + - free Named Entity Recognition + - Named Entity + - Named Entity Recognition + - Entity + - Entity Recognition + - named-entities + - named-entities classes + - classes + - input + - named-entity + - named-entity classes + - persons + - locations + - organisations + - microservice automatically extracts structured information + - automatically extracts structured information + - structured information + - information + - unstructured text + - unstructured text data + - text data + - data + - chatlogs + - emails + - news + - news articles + - articles + - claim free 50 API + - free 50 API + - 50 API + - business + - business challenges + - challenges + - use + - use case + - case + - catalogue + - pre-trained AI + - pre-trained AI microservices + - AI microservices + - microservices + - quickly and easily Straightforward API + - easily Straightforward API + - easily Straightforward API implementation + - Straightforward API + - Straightforward API implementation + - API implementation + - implementation + - detailed documentation + - documentation + - documentation and responsive technical support + - responsive technical support + - technical support + - support + - per-API-call pricing + - pricing + - short video + - video + - shares + - informational video + - applications + - ways + - reality + - systems + - team + - experts + - ai clinic + - clinic + - free consultation + - consultation + - co-lab programme + - programme + - structured programme + - discover and trial + - discover and trial AI + - discover and trial AI solutions + - trial + - trial AI + - trial AI solutions + - AI solutions + - solutions + - platform Sign + - Sign + - microservices and demo + - microservices and demo apps + - demo + - demo apps + - apps + - prime time + - time + - companies + - industries + - businesses + - businesses using Sentient.io + - using Sentient.io + - Sentient.io + - Contact + - Sentient.io AI + - Sentient.io AI journey + - AI journey + - journey + - Clients + - 138523 enquiry@sentient.io + - 138523 enquiry@sentient.io Copyright + - enquiry@sentient.io + - enquiry@sentient.io Copyright + - Copyright + - message + - status + - success + - htmltext + - HDB + - Pulse + - step + content_categories: + - technology/business technology/business intelligence + - careers/courses and program/language + - careers/job by industry/telco + - news/business news/telco + - news/domestic/news + - news/international/news + - news/local/news + - technology/business technology/systems + - careers/job by industry/healthcare + - news/business news/healthcare + - technology/mobile phones & accessories/apps + - news/business news/general + - news/sport/general + content_groupcategories: + - technology + - careers + - news + - technology/business technology + - careers/courses and program + - careers/job by industry + - news/business news + - news/domestic + - news/international + - news/local + - technology/mobile phones & accessories + - news/sport + site_id: '1' + sort: + - 1648033812000 + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + successcontentprofile: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: number + example: 95 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + createdDate: + type: string + example: 2022-03-23T11:10:12+00:00 + description: Created date of the content profile + objectKey: + type: string + example: content_profiles/1_www.sentient.io_sentient.io-general-microservices.json + description: object key of the content profile + content_type: + type: string + example: text/plain + description: Content type of the content profile + content_length: + type: number + example: 49781 + description: length of the content profile + content_format: + type: string + example: url + description: format of the content profile + content_ngrams: + type: array + example: [ + "Recognition", + "microservice", + "feature", + "Recognition capabilities", + "capabilities", + "detects speech", + "speech", + "audio file"] + description: list of content ngrams + items: + oneOf: + - type: string + content_categories: + type: array + description: list of content categories + example: ["technology/business technology/business intelligence","careers/courses and program/language","careers/job by industry/telco","news/business news/telco","news/domestic/news","news/international/news","news/local/news","technology/business technology/systems","careers/job by industry/healthcare","news/business news/healthcare","technology/mobile phones & accessories/apps","news/business news/general","news/sport/general"] + items: + oneOf: + - type: string + content_groupcategories: + type: string + description: list of content group categories + example: [ + "technology", + "careers", + "news", + "technology/business technology", + "careers/courses and program", + "careers/job by industry", + "news/business news", + "news/domestic", + "news/international", + "news/local", + "technology/mobile phones & accessories", + "news/sport"] + site_id: + type: array + example: 1 + description: site id of the content profile + items: + oneOf: + - type: string + + sort: + type: array + example: 1648033812000 + description: list of sort + items: + oneOf: + - type: string + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + successinterestprofile: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: number + example: 1 + description: Total number of records + max_score: + type: number + example: 0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + createdDate: + type: string + example: 2022-03-23T11:10:37+00:00 + description: Created date of the interest profile + objectKey: + type: string + example: interest_profiles/interest_profile_a4bbe6221f51f0d9.json + description: object key of the interest profile + content_type: + type: string + example: text/plain + description: Content type of the interest profile + content_length: + type: number + example: 27955 + description: length of the interest profile + content_format: + type: string + example: url + description: format of the interest profile + content: + type: string + example: "{\"uid\": \"a4bbe6221f51f0d9\", \"type\": \"interest_profile\", \"last_updated\": 1648033836, \"categories\": [{\"name\": \"technology/business technology/business intelligence\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"lifestyle/Social Media and Blogging\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"news/international/news\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"technology/business technology/systems/software\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"technology/software\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"news/local/news\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"news/domestic/news\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}], \"groupCategories\": [{\"name\": \"news\", \"node_level\": 1, \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"technology\", \"node_level\": 1, \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"lifestyle\", \"node_level\": 1, \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"lifestyle/Social Media and Blogging\", \"node_level\": 2, \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"technology/business technology\", \"node_level\": 2, \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"news/domestic\", \"node_level\": 2, \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"technology/software\", \"node_level\": 2, \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"news/international\", \"node_level\": 2, \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}, {\"name\": \"news/local\", \"node_level\": 2, \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_category\": true}], \"n-grams\": [{\"name\": \"Nat\", \"entity_type\": \"person\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"tagging\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Entity\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"software\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"developers\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"successful launch\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"trial AI solutions\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"top microservices\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"speech input\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"help developers\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"key entities\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"pre-trained and industry-proven models\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"gent\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Technology Partners\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"AI Co-lab AI Clinic Use\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"text\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"PRODUCTS AI\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"AI solutions\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"models\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"curated public and private datasets\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"AI\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"convert text input\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"together upon successful launch\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Discover\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"input\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"human speech\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"trial AI\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Advocates\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Recognition\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"status\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"convert text\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"microservice\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Identify key entities\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"datasets\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Sentient.io AI & Data Cloud Platform\", \"entity_type\": \"organization\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Fusionopolis Place\", \"entity_type\": \"organization\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Recognition Accurately convert speech input\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"u2014\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Sentient.io\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Heartland\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Automatic Speech Recognition\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"138523 enquiry@sentient.io\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"business\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Accurately convert speech input\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"ura\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Heartland About Our Team Newsroom\", \"entity_type\": \"organization\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"launch\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Clients\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"u672c\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Text-to-Speech\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"speech\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"entities\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Learn\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Recognition Accurately convert speech\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Easily convert text\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"solutions together upon successful launch\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"trial\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"microservices\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Copyright\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"public and private datasets\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"138523 enquiry@sentient.io Copyright\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Galaxis Work Lofts\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Team Newsroom Blog\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"solutions\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"APIs\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"text input\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"AI Solutions\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Automatic Speech\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"htmltext\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Home Products AI\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"better categorization\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"success\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"upon successful launch\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Data Partners\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Us\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"convert speech\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"convert speech input\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Singapore\", \"entity_type\": \"location\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"enquiry@sentient.io\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"HDB\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"content\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"enquiry@sentient.io Copyright\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"platform\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Us Privacy Policy CONTACT\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Recognition Identify key entities\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"public\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"provider\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Easily convert text input\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Data AI Co-lab COMPANY\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"curated public\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Accurately convert speech\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Blog\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"industry-proven models\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"existing software\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"u8a9e Login Join\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"capabilities\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"categorization\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Pulse\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"lli\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Data\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"message\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"TeamSpaces People Counting Object Detection Named Entity Recognition Automated Speech Recognition Text-to-Speech\", \"entity_type\": \"organization\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"View\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"u65e5\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Contact\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"Investors\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"private datasets\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"English English\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"microservice provider\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}, {\"name\": \"AI API\", \"entity_type\": \"misc\", \"score\": 0, \"last_accessed_time\": 1648006846, \"last_updated_time\": 1648033836, \"is_new_ngram\": true}]}" + description: content of interest profile + content_ngrams: + type: array + example: [ + "Nat", + "tagging", + "Entity", + "software", + "developers", + "successful launch", + "trial AI solutions", + "top microservices", + "speech input", + "help developers", + "key entities", + "pre-trained and industry-proven models", + "gent", + "Technology Partners", + "AI Co-lab AI Clinic Use", + "text", + "PRODUCTS AI", + "AI solutions", + "models", + "curated public and private datasets", + "AI", + "convert text input", + "together upon successful launch", + "Discover", + "input", + "human speech", + "trial AI", + "Advocates", + "Recognition", + "status", + "convert text"] + description: list of content ngrams + items: + oneOf: + - type: string + content_categories: + type: array + description: list of content categories + example: ["technology/business technology/business intelligence", + "lifestyle/Social Media and Blogging", + "news/international/news", + "technology/business technology/systems/software", + "technology/software", + "news/local/news", + "news/domestic/news"] + items: + oneOf: + - type: string + content_groupcategories: + type: string + description: list of content group categories + example: ["news", + "technology", + "lifestyle", + "lifestyle/Social Media and Blogging", + "technology/business technology", + "news/domestic", + "technology/software", + "news/international", + "news/local"] + external_id: + type: array + example: 0 + description: external id of the interest profile + items: + oneOf: + - type: string + + sort: + type: array + example: 1648033837000 + description: list of sort + items: + oneOf: + - type: string + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 01, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 0, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match":{"content_ngrams":"solutions"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/data_analytics/content_profile.yaml b/data_analytics/content_profile.yaml deleted file mode 100644 index 82802f581..000000000 --- a/data_analytics/content_profile.yaml +++ /dev/null @@ -1,593 +0,0 @@ -openapi: 3.0.1 -info: - title: Content Profiler - x-subscribelink: content_profiler - description: |+ - This microservice returns all content profiler. - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"content_ngrams":"solutions"}} - > {"match_phrase":{"content_categories":"news/local/news"}} - > {"match_phrase":{"content_groupcategories":"technology"}} - > {"match_phrase":{"content":"articleUrl"}} - - * **match** - Search within a full text field for a single word - > {"match":{"content_ngrams":"solutions"}} - > {"match":{"content_categories":"news/local/news"}} - > {"match":{"content_groupcategories":"technology"}} - > {"match":{"content":"articleUrl"}} - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides returns all road works being / to be carried out. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" -paths: - /microservice/dataanalytics/cip/v0/getcontentprofile: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 95 - max_score: null - hits: - - _index: cip_content_profiler - _type: cip - _id: >- - content_profiles/1_www.sentient.io_sentient.io-general-microservices.json - _score: null - _source: - createdDate: '2022-03-23T11:10:12+00:00' - objectKey: >- - content_profiles/1_www.sentient.io_sentient.io-general-microservices.json - content_type: text/plain - content_length: 49781 - content_format: url - content_ngrams: - - Recognition - - microservice - - feature - - Recognition capabilities - - capabilities - - detects speech - - speech - - audio file - - file - - wav - - wav format - - format - - speech content - - content - - audio stream - - stream - - text - - transcript - - transcript text - - utterance - - continuous piece - - piece - - speech beginning - - beginning - - clear pause - - pause - - free account - - account - - array - - different language - - different language and voices - - language - - language and voices - - voices - - speech platform - - platform - - best suit - - suit - - application - - requirements - - Enable natural communication - - natural communication - - communication - - users - - devices - - speak humanlike voices - - humanlike voices - - end-to-end voice - - end-to-end voice user - - end-to-end voice user interface - - voice - - voice user - - voice user interface - - user - - user interface - - interface - - interface together and improve user - - together and improve user - - together and improve user experience - - improve user - - improve user experience - - user experience - - experience - - easy and engaging interactions - - engaging interactions - - interactions - - free Named Entity - - free Named Entity Recognition - - Named Entity - - Named Entity Recognition - - Entity - - Entity Recognition - - named-entities - - named-entities classes - - classes - - input - - named-entity - - named-entity classes - - persons - - locations - - organisations - - microservice automatically extracts structured information - - automatically extracts structured information - - structured information - - information - - unstructured text - - unstructured text data - - text data - - data - - chatlogs - - emails - - news - - news articles - - articles - - claim free 50 API - - free 50 API - - 50 API - - business - - business challenges - - challenges - - use - - use case - - case - - catalogue - - pre-trained AI - - pre-trained AI microservices - - AI microservices - - microservices - - quickly and easily Straightforward API - - easily Straightforward API - - easily Straightforward API implementation - - Straightforward API - - Straightforward API implementation - - API implementation - - implementation - - detailed documentation - - documentation - - documentation and responsive technical support - - responsive technical support - - technical support - - support - - per-API-call pricing - - pricing - - short video - - video - - shares - - informational video - - applications - - ways - - reality - - systems - - team - - experts - - ai clinic - - clinic - - free consultation - - consultation - - co-lab programme - - programme - - structured programme - - discover and trial - - discover and trial AI - - discover and trial AI solutions - - trial - - trial AI - - trial AI solutions - - AI solutions - - solutions - - platform Sign - - Sign - - microservices and demo - - microservices and demo apps - - demo - - demo apps - - apps - - prime time - - time - - companies - - industries - - businesses - - businesses using Sentient.io - - using Sentient.io - - Sentient.io - - Contact - - Sentient.io AI - - Sentient.io AI journey - - AI journey - - journey - - Clients - - 138523 enquiry@sentient.io - - 138523 enquiry@sentient.io Copyright - - enquiry@sentient.io - - enquiry@sentient.io Copyright - - Copyright - - message - - status - - success - - htmltext - - HDB - - Pulse - - step - content_categories: - - technology/business technology/business intelligence - - careers/courses and program/language - - careers/job by industry/telco - - news/business news/telco - - news/domestic/news - - news/international/news - - news/local/news - - technology/business technology/systems - - careers/job by industry/healthcare - - news/business news/healthcare - - technology/mobile phones & accessories/apps - - news/business news/general - - news/sport/general - content_groupcategories: - - technology - - careers - - news - - technology/business technology - - careers/courses and program - - careers/job by industry - - news/business news - - news/domestic - - news/international - - news/local - - technology/mobile phones & accessories - - news/sport - site_id: '1' - sort: - - 1648033812000 - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: number - example: 95 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - createdDate: - type: string - example: 2022-03-23T11:10:12+00:00 - description: Created date of the content profile - objectKey: - type: string - example: content_profiles/1_www.sentient.io_sentient.io-general-microservices.json - description: object key of the content profile - content_type: - type: string - example: text/plain - description: Content type of the content profile - content_length: - type: number - example: 49781 - description: length of the content profile - content_format: - type: string - example: url - description: format of the content profile - content_ngrams: - type: array - example: [ - "Recognition", - "microservice", - "feature", - "Recognition capabilities", - "capabilities", - "detects speech", - "speech", - "audio file"] - description: list of content ngrams - items: - oneOf: - - type: string - content_categories: - type: array - description: list of content categories - example: ["technology/business technology/business intelligence","careers/courses and program/language","careers/job by industry/telco","news/business news/telco","news/domestic/news","news/international/news","news/local/news","technology/business technology/systems","careers/job by industry/healthcare","news/business news/healthcare","technology/mobile phones & accessories/apps","news/business news/general","news/sport/general"] - items: - oneOf: - - type: string - content_groupcategories: - type: string - description: list of content group categories - example: [ - "technology", - "careers", - "news", - "technology/business technology", - "careers/courses and program", - "careers/job by industry", - "news/business news", - "news/domestic", - "news/international", - "news/local", - "technology/mobile phones & accessories", - "news/sport"] - site_id: - type: array - example: 1 - description: site id of the content profile - items: - oneOf: - - type: string - - sort: - type: array - example: 1648033812000 - description: list of sort - items: - oneOf: - - type: string - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Feb 01, 2022 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index . Default - 0 - filter: - type: array - default: false - items: - type: object - example: [{"match":{"_id":"content_profiles/1_www.sentient.io_ai-colab.json"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From ff62877df8943f8445f0ba772b9b2770c02ae618 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 24 Mar 2022 12:53:32 +0530 Subject: [PATCH 3869/5916] Update index.yaml --- index.yaml | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/index.yaml b/index.yaml index 87a886053..5a977b845 100644 --- a/index.yaml +++ b/index.yaml @@ -187,14 +187,10 @@ data analytics: title: Rule Engine versions: 0.1.0: 'rule_engine.yaml' - interest_profile: - title: Interest Profile + content_interest_profile: + title: Content Interest Profile versions: - 0.1.0: 'interest_profile.yaml' - content_profile: - title: Content Profile - versions: - 0.1.0: 'content_profile.yaml' + 0.1.0: 'content_interest_profile.yaml' computer vision: object_detection: title: Object Detection From e320f8b9b18094d8bce44c274ab99e6035c2dce7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 24 Mar 2022 12:54:29 +0530 Subject: [PATCH 3870/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index f7dcaa572..9bc9d8195 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -546,7 +546,7 @@ components: type: string example: en-US-JennyNeural description: |+ - Specify the voice name from the supported languages, if required. If not specified it will automatically takes the voice name. + Specify the voice name from the supported languages, if required. If not specified it will automatically takes any one of the gender voice name. securitySchemes: APIAuthorizer: From eae68fda049e67cad26deda8766850d415592fb2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 24 Mar 2022 14:03:59 +0530 Subject: [PATCH 3871/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 9bc9d8195..2d1f93c86 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -546,7 +546,7 @@ components: type: string example: en-US-JennyNeural description: |+ - Specify the voice name from the supported languages, if required. If not specified it will automatically takes any one of the gender voice name. + Specify the voice name from the supported languages, if required. If not specified it will automatically take any one of the gender voice name. securitySchemes: APIAuthorizer: From b1c892dff91201b8738e899fb697f9d76dd135ea Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 25 Mar 2022 11:32:19 +0800 Subject: [PATCH 3872/5916] change log added for inversenorm --- nlp/inverse_text_normalisation_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 8dee9a639..881fa7c50 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -222,8 +222,8 @@ components: oneOf: - type: string example: Published Date - Mar 22, 2022 - x-details: New Inverse norm using BERT - description: Latest Version + x-details: New Inverse norm using BERT,introducing new parameter “output” in the response json + description: New Inverse norm using BERT,introducing new parameter “output” in the response json v1.0.0: type: array items: From c05054eb61cd0fcc5cedfd2fd412824406d5769d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 25 Mar 2022 12:13:14 +0530 Subject: [PATCH 3873/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index 9df6bd8cb..fd9108b2c 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Converts any audio format to wav file. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 10, 2022" From 2f8180856e9f3131513359dadc92a655f216e337 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Mar 2022 09:22:27 +0530 Subject: [PATCH 3874/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index a9ce9cd81..f719d5e76 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -3,7 +3,7 @@ info: title: Rule Engine description: |+ It is an expert-system program, which runs the rules on the data and if any condition matches then it executes the corresponding actions. The inference engine is the component of the intelligent system in artificial intelligence, which applies logical rules to the knowledge base to infer new information from known facts. Inference-Engine’s program works in three phases to execute the rule on given data, Match, Resolve and Execute. - version: '1.0.0' + version: '0.1.0' x-subscribelink: rule_engine x-apitype: Subscription x-apitypedescription: |+ @@ -21,13 +21,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" +- name: "v0.1.0" description: "Published Date - Oct 30, 2020" paths: /microservices/dataanalytics/ruleengine/v0/getresults: post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -109,13 +109,13 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Oct 30, 2020 - x-details: Standardizing Output JSON + example: Published Date - March 20, 2022 + x-details: Initial Version description: Latest Version input: type: object From d95c4efdfe0cbd4bb2b0bb511e2dc0dcec86a346 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Mar 2022 09:24:29 +0530 Subject: [PATCH 3875/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index da8426963..2e0b4ffd4 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -3,7 +3,7 @@ info: title: Recommendation Engine description: |+ Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. - version: '1.0.0' + version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items. x-subscribelink: recommendation_engine @@ -25,7 +25,7 @@ info: servers: - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' tags: -- name: "v1.0.0" +- name: "v0.1.0" description: "Published Date - Oct 30, 2020" paths: /readdevent/v0/getresults: @@ -33,7 +33,7 @@ paths: This API is used to add the event to recommendation engine post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -70,7 +70,7 @@ paths: This API is used to add the item and its properties to recommendation engine post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -107,7 +107,7 @@ paths: This API is used to delete the event from recommendation engine post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -144,7 +144,7 @@ paths: This API is used to get recommendation based on the item post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -190,7 +190,7 @@ paths: This API is used to get the recommendation based on the user post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -235,7 +235,7 @@ paths: This API is used to train the recommendation engine post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -272,7 +272,7 @@ paths: This API is used to bulk upload the event to recommendation engine post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -310,7 +310,7 @@ paths: This API is used to bulk upload the item and its properties to recommendation engine post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -540,7 +540,7 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: From c5834025c51168e485f4ca09fd6af2ac6aff36fb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Mar 2022 10:49:53 +0530 Subject: [PATCH 3876/5916] Update content_interest_profile.yaml --- data_analytics/content_interest_profile.yaml | 27 +++++++++++++++----- 1 file changed, 21 insertions(+), 6 deletions(-) diff --git a/data_analytics/content_interest_profile.yaml b/data_analytics/content_interest_profile.yaml index 40620dc04..9f64d30e7 100644 --- a/data_analytics/content_interest_profile.yaml +++ b/data_analytics/content_interest_profile.yaml @@ -5,19 +5,34 @@ info: description: |+ This microservice returns all content interest profiler. x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: + **Get Interest Profile using _id:** * **match_phrase** - Search within a full text field > {"match_phrase":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} + * **match** - Search within a full text field for a single word + > {"match":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} + + **Get Interest Profile using content_ngrams** + * **match_phrase** - Search within a full text field > {"match_phrase":{"content_ngrams":"solutions"}} + * **match** - Search within a full text field for a single word + > {"match":{"content_ngrams":"solutions"}} + + **Get Interest Profile using content_categories** + * **match_phrase** - Search within a full text field + > {"match_phrase":{"content_categories":"news/local/news"}} + * **match** - Search within a full text field for a single word > {"match_phrase":{"content_categories":"news/local/news"}} + + **Get Interest Profile using content_groupcategories** + * **match_phrase** - Search within a full text field > {"match_phrase":{"content_groupcategories":"technology"}} - > {"match_phrase":{"external_id":"0"}} * **match** - Search within a full text field for a single word - > {"match":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} - > {"match":{"content_ngrams":"solutions"}} - > {"match":{"content_categories":"news/local/news"}} > {"match":{"content_groupcategories":"technology"}} + + **Get Interest Profile using external_id** + * **match_phrase** - Search within a full text field + > {"match_phrase":{"external_id":"0"}} + * **match** - Search within a full text field for a single word > {"match":{"external_id":"0"}} version: '0.1.0' x-apitype: small file From 8c7d8780fc70e10d4f382175513f8e812f864471 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Mar 2022 11:53:51 +0530 Subject: [PATCH 3877/5916] Update sentiment_analysis_and_sarcasm_detection.yaml --- ...ntiment_analysis_and_sarcasm_detection.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/nlp/sentiment_analysis_and_sarcasm_detection.yaml b/nlp/sentiment_analysis_and_sarcasm_detection.yaml index 8b260cb95..53d3bf29f 100644 --- a/nlp/sentiment_analysis_and_sarcasm_detection.yaml +++ b/nlp/sentiment_analysis_and_sarcasm_detection.yaml @@ -6,7 +6,7 @@ info: This NLP microservice accepts text and returns a response containing the overall sarcasm of the input text as well as the overall sentiment and confidence score for each sentiment label (positive, negative, and neutral). There are no limitations to the number of characters that you can input. However, for the best results, please input short text such as tweets, comments, news, and headlines. Do ensure that your text is within **5000 characters**. - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 5000 characters/Call @@ -23,13 +23,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Sep 08, 2021" +- name: "v0.1.1" + description: "Published Date - Mar 28, 2022" paths: /microservices/nlp/sentimentanalysis/v0/getpredictions: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -275,6 +275,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 28, 2022 + x-details: Error Handling for Bad Request + description: Latest Version v0.1.0: type: array items: @@ -282,7 +290,7 @@ components: - type: string example: Published Date - Sep 08, 2021 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: From b9b34d9ffc0ee52ca6d7ad82451d58833ebacc46 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Mar 2022 11:57:21 +0530 Subject: [PATCH 3878/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 5a977b845..a352dbdd9 100644 --- a/index.yaml +++ b/index.yaml @@ -169,7 +169,7 @@ nlp: sentiment_analysis_and_sarcasm_detection: title: Sentiment Analysis and Sarcasm Detection versions: - 0.1.0: 'sentiment_analysis_and_sarcasm_detection.yaml' + 0.1.1: 'sentiment_analysis_and_sarcasm_detection.yaml' google_translate: title: Google Translate versions: From e64420d996507c66c57f57c1d15ed2085256521e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Mar 2022 12:15:38 +0530 Subject: [PATCH 3879/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 2e0b4ffd4..ac79a0f11 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -5,7 +5,7 @@ info: Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. version: '0.1.0' x-additionalinfo: |+ - - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items. + - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. x-subscribelink: recommendation_engine x-apitype: Subscription x-apitypedescription: |+ @@ -18,10 +18,6 @@ info: Subscription Fee + The API is billed by per request for get recommendations. x-notes: |+ File size cannot exceed 10 MB. - x-apidetailsdesc: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. - User can also use bulk upload APIs to insert historial data using CSV for both events and items. - Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. servers: - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' tags: From e20719e1e061dfb1c82b00fd99e78b8485310cce Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 28 Mar 2022 12:16:02 +0530 Subject: [PATCH 3880/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index f719d5e76..2c0453c4c 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -16,8 +16,6 @@ info: Subscription Fee x-notes: |+ File size cannot exceed 10 MB. - x-apidetailsdesc: |+ - Sentient’s Rule-Engine comes with UI access to Rule Engine where user can create objects and define the rules. Later, using the get result API user can integrate into their application to get the respective rules trigger. servers: - url: 'https://dev-apis.sentient.io' tags: From c5aaf1ad7d0acbb37e8e8c14a8d7b1576d07be41 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Mar 2022 12:28:20 +0530 Subject: [PATCH 3881/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 881fa7c50..eeafa6c26 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" From 831746da666cfa0d013290bef3b7d53e49ac287e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Mar 2022 17:35:37 +0530 Subject: [PATCH 3882/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index eeafa6c26..881fa7c50 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" From cb889e3c354fe66873de63ff0e5273e1db72653d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Mar 2022 18:02:26 +0530 Subject: [PATCH 3883/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 881fa7c50..eeafa6c26 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Mar 22, 2022" From f80eb5a767695261b09120157488b1d60c831d49 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 28 Mar 2022 18:04:18 +0530 Subject: [PATCH 3884/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index eeafa6c26..4b9514bdd 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 22, 2022" + description: "Published Date - Mar 28, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: @@ -221,7 +221,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 22, 2022 + example: Published Date - Mar 28, 2022 x-details: New Inverse norm using BERT,introducing new parameter “output” in the response json description: New Inverse norm using BERT,introducing new parameter “output” in the response json v1.0.0: From d0cbeaf5692ca3614b068eed915bdb8d19bf96a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Mar 2022 10:15:46 +0530 Subject: [PATCH 3885/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 4b9514bdd..ffe43f725 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Mar 28, 2022" From 6ceea73c20dbfee1dbf68d399e56a400507114e0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 29 Mar 2022 13:36:27 +0530 Subject: [PATCH 3886/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 2d1f93c86..d7912b64d 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -7,6 +7,7 @@ info: The input text should not exceed **400 characters**. x-additionalinfo: |+ + Other than english, it is mandatory to mention the voice name. Supported languages are: | **Name** | **Locale** | **Gender** | **Voice name** | |:-------------------------------------------:|:------------------:|:----------------:|:-----------------------:| @@ -546,7 +547,7 @@ components: type: string example: en-US-JennyNeural description: |+ - Specify the voice name from the supported languages, if required. If not specified it will automatically take any one of the gender voice name. + Other than English, it is mandatory to specify voice name. Specify the voice name from the supported languages, if required. If not specified it will automatically take any one of the gender voice name. securitySchemes: APIAuthorizer: From 8441183265f36cfd96987cbd6a43156cabfb83c8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 29 Mar 2022 13:36:51 +0530 Subject: [PATCH 3887/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index d7912b64d..b49d2f955 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -7,7 +7,7 @@ info: The input text should not exceed **400 characters**. x-additionalinfo: |+ - Other than english, it is mandatory to mention the voice name. + Other than English, it is mandatory to mention the voice name. Supported languages are: | **Name** | **Locale** | **Gender** | **Voice name** | |:-------------------------------------------:|:------------------:|:----------------:|:-----------------------:| From 2ffb57cabcef606bbe98d11886d8cfbdc923ecf5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 29 Mar 2022 15:37:09 +0530 Subject: [PATCH 3888/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index b49d2f955..bbedebf68 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -541,13 +541,13 @@ components: type: string example: en-US description: |+ - Specify the text language of the input text from supported languages, if required. If not specified it will automatically detect the input language. + Text language is non mandatory. Automatically detect based on input text. Refer, Additional Information Section. voice_name: x-name: voice_name type: string example: en-US-JennyNeural description: |+ - Other than English, it is mandatory to specify voice name. Specify the voice name from the supported languages, if required. If not specified it will automatically take any one of the gender voice name. + If text language given it will detect any one of voice name based on input language. If text language not given voice name is mandatory based on input language. Refer, Additional Information table Section. securitySchemes: APIAuthorizer: From febd2ef716bf20671789f4ae6f6f1300ae200206 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 29 Mar 2022 16:51:20 +0530 Subject: [PATCH 3889/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index bbedebf68..00f1fdb09 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -547,7 +547,7 @@ components: type: string example: en-US-JennyNeural description: |+ - If text language given it will detect any one of voice name based on input language. If text language not given voice name is mandatory based on input language. Refer, Additional Information table Section. + If text language given it will detect any one of voice name based on input language. If text language not given voice name is mandatory based on input text. Refer, Additional Information table Section. securitySchemes: APIAuthorizer: From 8e64f2b7c667c33e0e8feda20abb709e60a09d80 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 29 Mar 2022 16:57:41 +0530 Subject: [PATCH 3890/5916] Delete interest_profile.yaml --- data_analytics/interest_profile.yaml | 815 --------------------------- 1 file changed, 815 deletions(-) delete mode 100644 data_analytics/interest_profile.yaml diff --git a/data_analytics/interest_profile.yaml b/data_analytics/interest_profile.yaml deleted file mode 100644 index 58cd9a157..000000000 --- a/data_analytics/interest_profile.yaml +++ /dev/null @@ -1,815 +0,0 @@ -openapi: 3.0.1 -info: - title: Interest Profiler - x-subscribelink: interest_profiler - description: |+ - This microservice returns all interest profiler. - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} - > {"match_phrase":{"content_ngrams":"solutions"}} - > {"match_phrase":{"content_categories":"news/local/news"}} - > {"match_phrase":{"content_groupcategories":"technology"}} - > {"match_phrase":{"external_id":"0"}} - * **match** - Search within a full text field for a single word - > {"match":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} - > {"match":{"content_ngrams":"solutions"}} - > {"match":{"content_categories":"news/local/news"}} - > {"match":{"content_groupcategories":"technology"}} - > {"match":{"external_id":"0"}} - version: '0.1.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides returns all road works being / to be carried out. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" -paths: - /microservice/dataanalytics/cip/v0/getinterestprofile: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: null - hits: - - _index: cip_interest_profiler - _type: cip - _id: interest_profiles/interest_profile_a4bbe6221f51f0d9.json - _score: null - _source: - createdDate: '2022-03-23T11:10:37+00:00' - objectKey: interest_profiles/interest_profile_a4bbe6221f51f0d9.json - content_type: text/plain - content_length: 27955 - content: >- - {"uid": "a4bbe6221f51f0d9", "type": "interest_profile", - "last_updated": 1648033836, "categories": [{"name": - "technology/business technology/business intelligence", "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_category": true}, {"name": "lifestyle/Social Media and - Blogging", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_category": true}, {"name": - "news/international/news", "score": 0, "last_accessed_time": - 1648006846, "last_updated_time": 1648033836, "is_new_category": true}, - {"name": "technology/business technology/systems/software", "score": - 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_category": true}, {"name": "technology/software", "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_category": true}, {"name": "news/local/news", "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_category": true}, {"name": "news/domestic/news", "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_category": true}], "groupCategories": [{"name": "news", - "node_level": 1, "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_category": true}, {"name": - "technology", "node_level": 1, "score": 0, "last_accessed_time": - 1648006846, "last_updated_time": 1648033836, "is_new_category": true}, - {"name": "lifestyle", "node_level": 1, "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_category": true}, {"name": "lifestyle/Social Media and - Blogging", "node_level": 2, "score": 0, "last_accessed_time": - 1648006846, "last_updated_time": 1648033836, "is_new_category": true}, - {"name": "technology/business technology", "node_level": 2, "score": - 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_category": true}, {"name": "news/domestic", "node_level": 2, - "score": 0, "last_accessed_time": 1648006846, "last_updated_time": - 1648033836, "is_new_category": true}, {"name": "technology/software", - "node_level": 2, "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_category": true}, {"name": - "news/international", "node_level": 2, "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_category": true}, {"name": "news/local", "node_level": 2, - "score": 0, "last_accessed_time": 1648006846, "last_updated_time": - 1648033836, "is_new_category": true}], "n-grams": [{"name": "Nat", - "entity_type": "person", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": - "tagging", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": - "Entity", "entity_type": "misc", "score": 0, "last_accessed_time": - 1648006846, "last_updated_time": 1648033836, "is_new_ngram": true}, - {"name": "software", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": - "developers", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": - "successful launch", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": - "trial AI solutions", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "top - microservices", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": - "speech input", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "help - developers", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "key - entities", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": - "pre-trained and industry-proven models", "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_ngram": true}, {"name": "gent", "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_ngram": true}, {"name": "Technology Partners", "entity_type": - "misc", "score": 0, "last_accessed_time": 1648006846, - "last_updated_time": 1648033836, "is_new_ngram": true}, {"name": "AI - Co-lab AI Clinic Use", "entity_type": "misc", "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_ngram": true}, {"name": "text", "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_ngram": true}, {"name": "PRODUCTS AI", "entity_type": "misc", - "score": 0, "last_accessed_time": 1648006846, "last_updated_time": - 1648033836, "is_new_ngram": true}, {"name": "AI solutions", "score": - 0, "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_ngram": true}, {"name": "models", "score": 0, - "last_accessed_time": 1648006846, "last_updated_time": 1648033836, - "is_new_ngram": true}, {"name": "curated public and private datasets", - 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content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: number - example: 1 - description: Total number of records - max_score: - type: number - example: 0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - createdDate: - type: string - example: 2022-03-23T11:10:37+00:00 - description: Created date of the interest profile - 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servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Feb 01, 2022 - x-details: Initial version release - description: Latest Version - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index . Default - 0 - filter: - type: array - default: false - items: - type: object - example: [{"match":{"_id":"interest_profiles/interest_profile_a8448456964b2f8c.json"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From ff81c96fe1d89fcf66fa2d3742f4da294b582301 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 29 Mar 2022 23:08:54 +1100 Subject: [PATCH 3891/5916] Update details --- data_analytics/content_interest_profile.yaml | 62 +++++++++++--------- 1 file changed, 35 insertions(+), 27 deletions(-) diff --git a/data_analytics/content_interest_profile.yaml b/data_analytics/content_interest_profile.yaml index 9f64d30e7..1b041b77c 100644 --- a/data_analytics/content_interest_profile.yaml +++ b/data_analytics/content_interest_profile.yaml @@ -3,37 +3,44 @@ info: title: Content Interest Profiling x-subscribelink: content_interesr_profiling description: |+ - This microservice returns all content interest profiler. + This microservice helps profile the content and interest from the web page traffic. Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/Cookie/etc.) based on the history of documents it has accessed over time and the profile of those documents. + Upon subscription, a javascript is send to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required user can also pass in user ID in order to identify the user using the external_id field. + It would address English language texts only. x-additionalinfo : |+ - **Get Interest Profile using _id:** + **Match Types:** + A match type is a match operator. The supported match types are: * **match_phrase** - Search within a full text field - > {"match_phrase":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} + > {"match_phrase":{"content_categories":"news/business news/construction"}} * **match** - Search within a full text field for a single word - > {"match":{"_id":"interest_profiles/interest_profile_a4bbe6221f51f0d9.json"}} + > {"match":{"content_categories":"news"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"lastupdated":{"gte":"now-1d/d"}}} + > {"range":{"lastupdated":{"lte":"now/d"}}} + > {"range":{"lastupdated":{"gte":"now-1d/d","lte":"now/d"}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"content_categories"}} + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"content_categories":"news"}}]}} + > {"bool":{"must":[{"match":{"content_categories":"news"}}]}} + > {"bool":{"should":[{"match":{"content_categories":"news"}},{"match":{"content_ngrams":"solutions"}}]}} + + **Sample Queries Based on Use Cases** - **Get Interest Profile using content_ngrams** - * **match_phrase** - Search within a full text field - > {"match_phrase":{"content_ngrams":"solutions"}} - * **match** - Search within a full text field for a single word - > {"match":{"content_ngrams":"solutions"}} + 1. **Search for the profiles matching categories news/business news/construction.** - **Get Interest Profile using content_categories** - * **match_phrase** - Search within a full text field - > {"match_phrase":{"content_categories":"news/local/news"}} - * **match** - Search within a full text field for a single word - > {"match_phrase":{"content_categories":"news/local/news"}} + > {"match_phrase":{"content_categories":"news/business news/construction"}} - **Get Interest Profile using content_groupcategories** - * **match_phrase** - Search within a full text field - > {"match_phrase":{"content_groupcategories":"technology"}} - * **match** - Search within a full text field for a single word - > {"match":{"content_groupcategories":"technology"}} + 2. **Get for the content profile matching page url** - **Get Interest Profile using external_id** - * **match_phrase** - Search within a full text field - > {"match_phrase":{"external_id":"0"}} - * **match** - Search within a full text field for a single word - > {"match":{"external_id":"0"}} + > {"match_phrase":{"content.articleUrl"="https://www.sentient.io/team"}} + + 3. **Get for the interest profile matching page External ID (custom user ID from the web)** + + > {"match_phrase":{"external_id":"user1"}} + + 4. **Search for the profiles matching the primary top category** + + > {"match_phrase":{"content_groupcategories":"technology"}} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ @@ -43,16 +50,17 @@ info: x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ - The API is billed by per request. + Subscription Fee + The API is billed by per request for get profile. x-notes: |+ Process up to 10,000 records. x-apidetailsdesc: |+ - Provides returns all content interest profiler. + Upon subscription, a javascript is send to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required user can also pass in user ID in order to identify the user using the external_id field. + It would address English language texts only. servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Feb 01, 2022" + description: "Published Date - Apr 01, 2022" paths: /microservice/dataanalytics/cip/v0/getinterestprofile: post: From 9183be8af0481b0b03d0202ed5e3a0c76641b1dc Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Wed, 30 Mar 2022 09:39:25 +0530 Subject: [PATCH 3892/5916] Create ip_location.yaml --- utility/ip_location.yaml | 172 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 172 insertions(+) create mode 100644 utility/ip_location.yaml diff --git a/utility/ip_location.yaml b/utility/ip_location.yaml new file mode 100644 index 000000000..69a01f891 --- /dev/null +++ b/utility/ip_location.yaml @@ -0,0 +1,172 @@ +openapi: 3.0.1 +info: + title: Get IP + x-subscribelink: get_ip + description: |+ + This Utility microservice locates and identifies website visitors by IP (Internet Protocol) address. Know where your customers access your website from and customize user experiences based on IP address. + + x-additionalinfo : |+ + Suggested Use Cases: + - Use this microservice to get public IP of user. + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One IP /Call + x-inputfilelimit: |+ + Process up to One IP per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + The API is billed by per request. + x-apidetailsdesc: |+ + Locates and Identifies website visitors by IP +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Apr 07, 2021" +paths: + /microservices/utility/getip/v0/getresults: + get: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: '123.123.123.123' + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Response message + results: + type: string + example: '123.123.123.123' + description: User IP + status: + type: string + example: Success + description: API success call. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From 902ddba365096feeb74211239ad712e103f29a66 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Wed, 30 Mar 2022 09:41:39 +0530 Subject: [PATCH 3893/5916] Update ip_location.yaml --- utility/ip_location.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/utility/ip_location.yaml b/utility/ip_location.yaml index 69a01f891..b4c08b32c 100644 --- a/utility/ip_location.yaml +++ b/utility/ip_location.yaml @@ -1,9 +1,9 @@ openapi: 3.0.1 info: - title: Get IP - x-subscribelink: get_ip + title: IP Location + x-subscribelink: ip_location description: |+ - This Utility microservice locates and identifies website visitors by IP (Internet Protocol) address. Know where your customers access your website from and customize user experiences based on IP address. + This API allows you to see the geographical location of any IP address. Just input the IP address and you will be shown the city, continent_code, continent_name, country_code, country_name, geoname_id, ip, is_eu, lat, localtime, localtime_epoch, lon, region, type, tz_id . x-additionalinfo : |+ Suggested Use Cases: @@ -28,7 +28,7 @@ tags: - name: "v0.1.0" description: "Published Date - Apr 07, 2021" paths: - /microservices/utility/getip/v0/getresults: + /microservices/utility/iplocator/v0/getresults: get: tags: - v0.1.0 From a59c46585023e2328b4ed942971f0f6f4e8f5c4e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 13:49:27 +0530 Subject: [PATCH 3894/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index ffe43f725..b7d88145c 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -6,7 +6,7 @@ info: It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. - The input text should be a maximum of 512 sub words. + The input text should be a maximum of 400 words. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From 076b90f7bc073acfb2401ba1173a4da72859206f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 13:51:45 +0530 Subject: [PATCH 3895/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index b7d88145c..15364c60e 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -14,22 +14,22 @@ info: x-subscribelink: inverse_text_normalisation_eng x-apitype: small file x-apitypedescription: |+ - Fast | Single-Call | 5000 characters/Call + Fast | Single-Call | 400 words/Call x-inputfilelimit: |+ - Process up to 5000 characters per API call. + Process up to 400 words per API call. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 5000 characters. + Limit cannot exceed 400 words. x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 28, 2022" + description: "Published Date - Mar 30, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: @@ -221,7 +221,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 28, 2022 + example: Published Date - Mar 30, 2022 x-details: New Inverse norm using BERT,introducing new parameter “output” in the response json description: New Inverse norm using BERT,introducing new parameter “output” in the response json v1.0.0: From 3af1eba3f1ef804cd2c905ea3bbb6a88f47b2e41 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 13:52:03 +0530 Subject: [PATCH 3896/5916] Update index.yaml --- index.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/index.yaml b/index.yaml index a352dbdd9..284da8fb3 100644 --- a/index.yaml +++ b/index.yaml @@ -102,7 +102,6 @@ nlp: versions: 2.0.0: 'inverse_text_normalisation_eng.yaml' 1.0.0: 'inverse_text_normalisation_eng_v1.0.yaml' - 0.1.0: 'inverse_text_normalisation_eng_v0.1.yaml' named-entity_recognition_eng: title: Named-Entity Recognition ENG versions: From 977b99c744edc8a3e2b96054c908032ddc66b00b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 13:53:42 +0530 Subject: [PATCH 3897/5916] Update inverse_text_normalisation_eng_v1.0.yaml --- nlp/inverse_text_normalisation_eng_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng_v1.0.yaml b/nlp/inverse_text_normalisation_eng_v1.0.yaml index c8c63ed8c..8a17fd04d 100644 --- a/nlp/inverse_text_normalisation_eng_v1.0.yaml +++ b/nlp/inverse_text_normalisation_eng_v1.0.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Oct 30, 2020" From 3da1280ab2315b481fa5eb5979c0127c6553c83e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:34:34 +0530 Subject: [PATCH 3898/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index ac79a0f11..ea38b3c46 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -6,6 +6,7 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. + - Tryitout by clicking the link here here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/recommendation_engine.yaml x-subscribelink: recommendation_engine x-apitype: Subscription x-apitypedescription: |+ From b40f1926bed8676c806f33deb9261b6c1fba6fc6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:36:14 +0530 Subject: [PATCH 3899/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index ea38b3c46..059bbb49c 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -6,7 +6,8 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - - Tryitout by clicking the link here here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/recommendation_engine.yaml + + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/recommendation_engine.yaml x-subscribelink: recommendation_engine x-apitype: Subscription x-apitypedescription: |+ From 3dc214699a59883130342b8c559f7bb25aeb3c93 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:38:46 +0530 Subject: [PATCH 3900/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 059bbb49c..c03eee27f 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -7,7 +7,7 @@ info: x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/recommendation_engine.yaml + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/rule_engine.yaml x-subscribelink: recommendation_engine x-apitype: Subscription x-apitypedescription: |+ From 4424fd27cb9ff5cd22ac29168625cbd43069715f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:39:19 +0530 Subject: [PATCH 3901/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index c03eee27f..059bbb49c 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -7,7 +7,7 @@ info: x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/rule_engine.yaml + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/recommendation_engine.yaml x-subscribelink: recommendation_engine x-apitype: Subscription x-apitypedescription: |+ From b0ec26782f1ab58b9342012902df4f2c53fb4624 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:40:51 +0530 Subject: [PATCH 3902/5916] Update rule_engine.yaml --- data_analytics/rule_engine.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index 2c0453c4c..d07cb9810 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -4,6 +4,9 @@ info: description: |+ It is an expert-system program, which runs the rules on the data and if any condition matches then it executes the corresponding actions. The inference engine is the component of the intelligent system in artificial intelligence, which applies logical rules to the knowledge base to infer new information from known facts. Inference-Engine’s program works in three phases to execute the rule on given data, Match, Resolve and Execute. version: '0.1.0' + x-additionalinfo: |+ + + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/rule_engine.yaml x-subscribelink: rule_engine x-apitype: Subscription x-apitypedescription: |+ From 310aee87c3b7e2bb308d989a83a94cc82b46a6ec Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:41:35 +0530 Subject: [PATCH 3903/5916] Update content_interest_profile.yaml --- data_analytics/content_interest_profile.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/data_analytics/content_interest_profile.yaml b/data_analytics/content_interest_profile.yaml index 1b041b77c..e1652dd64 100644 --- a/data_analytics/content_interest_profile.yaml +++ b/data_analytics/content_interest_profile.yaml @@ -7,6 +7,10 @@ info: Upon subscription, a javascript is send to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required user can also pass in user ID in order to identify the user using the external_id field. It would address English language texts only. x-additionalinfo : |+ + + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/recommendation_engine.yaml + + **Match Types:** A match type is a match operator. The supported match types are: * **match_phrase** - Search within a full text field From 724b6d4f0876fce75f740c33a8c49e18091c0005 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:43:32 +0530 Subject: [PATCH 3904/5916] Update content_interest_profile.yaml --- data_analytics/content_interest_profile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/content_interest_profile.yaml b/data_analytics/content_interest_profile.yaml index e1652dd64..d64781b40 100644 --- a/data_analytics/content_interest_profile.yaml +++ b/data_analytics/content_interest_profile.yaml @@ -8,7 +8,7 @@ info: It would address English language texts only. x-additionalinfo : |+ - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/recommendation_engine.yaml + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/content_interest_profile.yaml **Match Types:** From 8fbd7f01fbbb556d9d4f8445becee41c666b22e3 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 15:51:18 +0530 Subject: [PATCH 3905/5916] Create textimportance.yaml --- nlp/textimportance.yaml | 261 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 261 insertions(+) create mode 100644 nlp/textimportance.yaml diff --git a/nlp/textimportance.yaml b/nlp/textimportance.yaml new file mode 100644 index 000000000..1b0aa833c --- /dev/null +++ b/nlp/textimportance.yaml @@ -0,0 +1,261 @@ + +openapi: 3.0.1 +info: + title: text_importance_model + description: |+ + This NLP microservice given a set of sentences in a text document, rank each sentence by their importance/relevance after pre-processing. + version: v0.1.0 + x-additionalinfo: |+ + Suggested usecases: It can be used in text analytics to understanding importance and get a textual importance of any provided document. +servers: + - url: 'https://https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - March 30, 2022" +paths: + /microservices/nlp/textimportance/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + textoutput: + - a right - arm leg spinner , he is widely considered as one of the greatest bowlers + in cricket history , and in 2000 he was selected by a panel of cricket experts as + one of five wisden cricketers of the century , the only specialist bowler and the + only one still playing at the time . + - warne 's 708 test wickets was the record for the most wickets taken by any bowler + in test cricket until 2007 . + - a useful lower - order batsman , warne scored more than 3,000 test runs , with a + highest score of 99 , and remains the highest test runscorer without a century.[5 + ] as well as playing internationally , warne played domestic cricket for his home + state of victoria and english domestic cricket for hampshire . + - in 2007 , warne was named in australia 's greatest ever odi team . + - in the 150th anniversary of the wisden cricketers ' almanack , warne was named in + an all - time test world xi.[6 ] in 2012 , he was also inducted into the cricket + hall of fame by cricket australia.[7 ] in 2013 , warne was inducted into the icc + cricket hall of fame.[8 ] in february 2018 , the rajasthan royals appointed warne + as their team mentor for the ipl 2018.[9 ] his career was plagued by scandals off + the field , including a ban from cricket for testing positive for a prohibited substance + , charges of bringing the game into disrepute with the john the bookmaker controversy + and sexual indiscretions . + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + textoutput: + description: Returns a list of sentences ranked based on the relevance in the document. + example: a right - arm leg spinner , he is widely considered as one of the greatest + bowlers in cricket history , and in 2000 he was selected by a panel of cricket + experts as one of five wisden cricketers of the century , the only specialist + bowler and the only one still playing at the time . + items: + description: Returns a list of sentences ranked based on relevance in the document. + example: a right - arm leg spinner , he is widely considered as one of the greatest + bowlers in cricket history , and in 2000 he was selected by a panel of cricket + experts as one of five wisden cricketers of the century , the only specialist + bowler and the only one still playing at the time . + type: string + type: array + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - March 30, 2022 + description: TO FILL MANUALLY + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: Shane Keith Warne (13 September 1969 – 4 March 2022) was an Australian cricketer. A right-arm leg spinner, he is widely considered as one of the greatest bowlers in cricket history, and in 2000 he was selected by a panel of cricket experts as one of five Wisden Cricketers of the Century, the only specialist bowler and the only one still playing at the time. Warne played his first Test match in 1992 and took more than 1,000 wickets in Tests and One Day Internationals (ODIs). Warne's 708 Test wickets was the record for the most wickets taken by any bowler in Test cricket until 2007. He was named one of the Wisden Cricketers of the Year in the 1994 Wisden Cricketers' Almanack, and was the Wisden Leading Cricketer in the World in 1997 and 2004. A useful lower-order batsman, Warne scored more than 3,000 Test runs, with a highest score of 99, and remains the highest Test runscorer without a century.[5] As well as playing internationally, Warne played domestic cricket for his home state of Victoria and English domestic cricket for Hampshire. He was captain of Hampshire for three seasons from 2005 to 2007. Warne retired from international cricket in January 2007 at the end of Australia's 2006–07 Ashes series victory over England. In 2007, Warne was named in Australia's greatest ever ODI team. He played in the first four seasons (2008–2011) of the Indian Premier League for the Rajasthan Royals, where he played the roles of both captain and coach, winning the competition in 2008. In the 150th anniversary of the Wisden Cricketers' Almanack, Warne was named in an all-time Test World XI.[6] In 2012, he was also inducted into the Cricket Hall of Fame by Cricket Australia.[7] In 2013, Warne was inducted into the ICC Cricket Hall of Fame.[8] In February 2018, the Rajasthan Royals appointed Warne as their team mentor for the IPL 2018.[9] His career was plagued by scandals off the field, including a ban from cricket for testing positive for a prohibited substance, charges of bringing the game into disrepute with the John the bookmaker controversy and sexual indiscretions. Warne revolutionised cricket thinking with his mastery of leg spin, which had come to be regarded as a dying art.[10][11][12] After retirement, he regularly worked as a cricket commentator, predominantly on Australia's Nine Network. He worked for charitable organisations and also endorsed commercial products. In recognition of his skill, a statue of him bowling was placed outside the Melbourne Cricket Ground. + description: |+ + Joined sentences passed from any file based object + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 83d5b4d0591b53d07765f2b204ba4126cbed18a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:07:07 +0530 Subject: [PATCH 3906/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 26 ++++++++++++++++++++------ 1 file changed, 20 insertions(+), 6 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index ca14ff673..eba61c8f6 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -10,15 +10,29 @@ info: **Match Types:** A match type is a match operator. The supported match types are: * **match_phrase** - Search within a full text field - > {"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}} + > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} * **match** - Search within a full text field for a single word - > {"match":{"properties.QUALITY":"FULLY VISIBLE"}} + > {"match":{"properties.quality":"FULLY VISIBLE"}} * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"road_name"}} + > {"exists":{"field":"properties.featid"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} + * **geo_shape** - Returns the geo search based on the type and coordinates + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "polygon", + "coordinates":[ [[ 103.757362163026585, 1.349439786854645 ], [ 103.757401139617556, 1.349479539383153 ], [ 103.757489093469715, 1.349395625337523 ], [ 103.757362163026585, 1.349439786854645 ] ]] + }, + "relation": "intersects" + } + } + } * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} - > {"bool":{"must":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} - > {"bool":{"should":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}}]}} + > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}}]}} version: '2.0.0' x-apitype: small file From dbd0f54d0647c4f2b3401ad5581708630f23d2c9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:08:11 +0530 Subject: [PATCH 3907/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index eba61c8f6..3b4f1fb06 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -319,7 +319,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 22, 2022 + example: Published Date - Mar 30, 2022 x-details: Data structure changed description: Latest Version v1.0.0: @@ -356,7 +356,7 @@ components: default: false items: type: object - example: [{"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}}] + example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] description: |+ Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match From 520b526777600d04977395ec5c26ddde465fc8f7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:11:41 +0530 Subject: [PATCH 3908/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 3b4f1fb06..a43adb7d1 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -88,12 +88,12 @@ paths: type: Polygon lastupdated: '2022-03-22T14:25:29.452Z' properties: - FEATID: 129 - FMEL_UPD_D: '2018-06-29' - INC_CRC: C70C5D2A82FCBDC2 - LVL: GROUND LEVEL - QUALITY: FULLY VISIBLE - TYPE: HARDCOURT + featid: 129 + fmel_upd_d: '2018-06-29' + inc_crc: C70C5D2A82FCBDC2 + lvl: GROUND LEVEL + quality: FULLY VISIBLE + type: HARDCOURT property_type: HARDCOURT type: Polygon unique_id: 129c70c5d2a82fcbdc2 @@ -192,27 +192,27 @@ components: example: {} description: Json Object of returned results properties: - FEATID: + featid: type: integer example: 128 description: FEATID - LVL: + lvl: type: string example: "GROUND LEVEL" description: LVL - QUALITY: + quality: type: string example: "FULLY VISIBLE" description: Quality - TYPE: + type: type: string example: "HARDCOURT" description: type - INC_CRC: + inc_crc: type: string example: "6CBA10726FCF8D23" description: inc_crc - FMEL_UPD_D: + fmel_upd_d: type: string example: "2018-06-29" description: fmel_upd_d From d3291a8abf444ca7a95949c7cd8441f8c6a0c51b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:16:17 +0530 Subject: [PATCH 3909/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index a43adb7d1..a5376485e 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -17,7 +17,11 @@ info: > {"exists":{"field":"properties.featid"}} * **geo_distance** - Returns the geo search based on the distance and location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} - * **geo_shape** - Returns the geo search based on the type and coordinates + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. > { "geo_shape": { "geometry": { From 6e908080ac05f15660c8dc6e912433dfe3c09bd3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:18:39 +0530 Subject: [PATCH 3910/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index a5376485e..faea04abf 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -36,7 +36,7 @@ info: * **bool** - Returns results that must or must_not match with word > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} version: '2.0.0' x-apitype: small file From d047a57473fe801d490f826a563853a1cd844943 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:29:58 +0530 Subject: [PATCH 3911/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 70 +++++++++++++++++---------- 1 file changed, 44 insertions(+), 26 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index bc345da2a..4bd27229d 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -7,18 +7,36 @@ info: A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo : |+ - **Match Types:** + **Match types:** A match type is a match operator. The supported match types are: * **match_phrase** - Search within a full text field - > {"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}} + > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} * **match** - Search within a full text field for a single word - > {"match":{"properties.QUALITY":"FULLY VISIBLE"}} + > {"match":{"properties.quality":"FULLY VISIBLE"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + >{ + "geo_shape": { + "geometry": { + "shape": { + "type": "Point", + "coordinates":[ 103.909244012548825, 1.330939965513429 ] + }, + "relation": "disjoint" + } + } + } * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"road_name"}} * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} - > {"bool":{"must":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} - > {"bool":{"should":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}}]}} + > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}}]}} version: '2.0.0' x-apitype: small file @@ -38,7 +56,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 22, 2022" + description: "Published Date - Mar 30, 2022" paths: /microservices/data/lamppost/v2/getdata: post: @@ -66,18 +84,18 @@ paths: type: Point lastupdated: '2022-03-22T14:25:40.805Z' properties: - FEATID: 12888 - FMEL_UPD_D: '2018-06-29' - INC_CRC: B36680519553298F - LVL: GROUND LEVEL - QUALITY: PARTIALLY VISIBLE - TYPE: LAMP POST + featid: 12888 + fmel_upd_d: '2018-06-29' + inc_crc: B36680519553298F + lvl: GROUND LEVEL + quality: PARTIALLY VISIBLE + type: LAMP POST property_type: LAMP POST type: Point unique_id: 12888b36680519553298f _type: doc max_score: 0 - total: 23431 + total: 23 scroll_id: DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAIoSFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKExZHeWxGN1VqalJqcUxpOUgzMU1BeV9nAAAAAAAAihQWR3lsRjdVampSanFMaTlIMzFNQXlfZwAAAAAAAIoVFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKFhZHeWxGN1VqalJqcUxpOUgzMU1BeV9n status: Success '401': @@ -117,7 +135,7 @@ paths: schema: $ref: '#/components/schemas/inputlimitexceeded' '415': - description: Unsupported Media Type + description: Unsupported Media type content: application/json: schema: @@ -169,27 +187,27 @@ components: example: {} description: Json Object of returned results properties: - FEATID: + featid: type: integer example: 8888 - description: FEATID - LVL: + description: featid + lvl: type: string example: "GROUND LEVEL" - description: LVL - QUALITY: + description: lvl + quality: type: string example: "PARTIALLY VISIBLE" - description: Quality - TYPE: + description: quality + type: type: string example: "LAMP POST" description: type - INC_CRC: + inc_crc: type: string example: "B2485B94230255EC" description: inc_crc - FMEL_UPD_D: + fmel_upd_d: type: string example: "2018-06-29" description: fmel_upd_d @@ -300,7 +318,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 22, 2022 + example: Published Date - Mar 30, 2022 x-details: Data structure changed description: Latest Version v1.0.0: @@ -337,7 +355,7 @@ components: default: false items: type: object - example: [{"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}}] + example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] description: |+ Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match From cbe517aa11a270053cf25841fad2d88cfbdd7ae0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:31:56 +0530 Subject: [PATCH 3912/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 4bd27229d..a2c5f3153 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -32,7 +32,7 @@ info: } } * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"road_name"}} + > {"exists":{"field":"properties.featid"}} * **bool** - Returns results that must or must_not match with word > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} From fbb7b9b8461304acb3342479eaef8c756805d193 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:38:11 +0530 Subject: [PATCH 3913/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 70 ++++++++++++++++++----------- 1 file changed, 44 insertions(+), 26 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index b07a3d9d8..eb0eb9080 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -7,18 +7,36 @@ info: A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo : |+ - **Match Types:** + **Match types:** A match type is a match operator. The supported match types are: * **match_phrase** - Search within a full text field - > {"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}} + > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} * **match** - Search within a full text field for a single word - > {"match":{"properties.QUALITY":"FULLY VISIBLE"}} + > {"match":{"properties.quality":"FULLY VISIBLE"}} * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"road_name"}} + > {"exists":{"field":"properties.featid"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "polygon", + "coordinates":[ [[ 103.757362163026585, 1.349439786854645 ], [ 103.757401139617556, 1.349479539383153 ], [ 103.757489093469715, 1.349395625337523 ], [ 103.757362163026585, 1.349439786854645 ] ]] + }, + "relation": "intersects" + } + } + } * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} - > {"bool":{"must":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} - > {"bool":{"should":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}}]}} + > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} version: '2.0.0' x-apitype: small file @@ -38,7 +56,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 22, 2022" + description: "Published Date - Mar 30, 2022" paths: /microservices/data/shelter/v2/getdata: post: @@ -122,12 +140,12 @@ paths: type: Polygon lastupdated: '2022-03-22T14:26:12.134Z' properties: - FEATID: 32 - FMEL_UPD_D: '2018-06-29' - INC_CRC: 47C214E0ED444693 - LVL: GROUND LEVEL - QUALITY: PARTIALLY VISIBLE - TYPE: SHELTER + featid: 32 + fmel_upd_d: '2018-06-29' + inc_crc: 47C214E0ED444693 + lvl: GROUND LEVEL + quality: PARTIALLY VISIBLE + type: SHELTER property_type: SHELTER type: Polygon unique_id: 3247c214e0ed444693 @@ -173,7 +191,7 @@ paths: schema: $ref: '#/components/schemas/inputlimitexceeded' '415': - description: Unsupported Media Type + description: Unsupported Media type content: application/json: schema: @@ -225,27 +243,27 @@ components: example: {} description: Json Object of returned results properties: - FEATID: + featid: type: integer example: 32 - description: FEATID - LVL: + description: featid + lvl: type: string example: "GROUND LEVEL" - description: LVL - QUALITY: + description: GROUND LEVEL + quality: type: string example: "PARTIALLY VISIBLE" - description: Quality - TYPE: + description: quality + type: type: string example: "SHELTER" description: type - INC_CRC: + inc_crc: type: string example: "47C214E0ED444693" description: inc_crc - FMEL_UPD_D: + fmel_upd_d: type: string example: "2018-06-29" description: fmel_upd_d @@ -356,7 +374,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 22, 2022 + example: Published Date - Mar 30, 2022 x-details: Data structure changed description: Latest Version v1.0.0: @@ -393,7 +411,7 @@ components: default: false items: type: object - example: [{"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}}] + example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] description: |+ Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match From 06cab3b71e81b6eff258c2cb47d561aa0c72d3f9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:46:07 +0530 Subject: [PATCH 3914/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- ...tness_stations_and_playgrounds_hdb_sg.yaml | 74 ++++++++++++------- 1 file changed, 49 insertions(+), 25 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index da018bd93..2a634596f 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -7,18 +7,42 @@ info: A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo : |+ - **Match Types:** + **Match types:** A match type is a match operator. The supported match types are: * **match_phrase** - Search within a full text field - > {"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}} + > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} * **match** - Search within a full text field for a single word - > {"match":{"properties.QUALITY":"FULLY VISIBLE"}} + > {"match":{"properties.quality":"FULLY VISIBLE"}} * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"road_name"}} + > {"exists":{"field":"properties.featid"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "polygon", + "coordinates":[ [ [103.69907590788098,1.341790133926203],[ 103.6990219038758, + 1.341868809532727],[103.69919264733477,1.341893585818229], + [103.69919936085681,1.341886273517502],[103.69907590788098, + 1.341790133926203 + ] + ] + ] + }, + "relation": "intersects" + } + } + } * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} - > {"bool":{"must":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}]}} - > {"bool":{"should":[{"match":{"properties.QUALITY":"FULLY VISIBLE"}}}]}} + > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} version: '2.0.0' x-apitype: small file @@ -38,7 +62,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 22, 2022" + description: "Published Date - Mar 30, 2022" paths: /microservices/data/fitnessstationplaygrnd/v2/getdata: post: @@ -66,12 +90,12 @@ paths: type: Point lastupdated: '2022-03-22T14:25:40.805Z' properties: - FEATID: 12888 - FMEL_UPD_D: '2018-06-29' - INC_CRC: B36680519553298F - LVL: GROUND LEVEL - QUALITY: PARTIALLY VISIBLE - TYPE: LAMP POST + featid: 12888 + fmel_upd_d: '2018-06-29' + inc_crc: B36680519553298F + lvl: GROUND LEVEL + quality: PARTIALLY VISIBLE + type: LAMP POST property_type: LAMP POST type: Point unique_id: 12888b36680519553298f @@ -117,7 +141,7 @@ paths: schema: $ref: '#/components/schemas/inputlimitexceeded' '415': - description: Unsupported Media Type + description: Unsupported Media type content: application/json: schema: @@ -169,23 +193,23 @@ components: example: {} description: Json Object of returned results properties: - FEATID: + featid: type: integer example: 312 - description: FEATID - LVL: + description: featid + lvl: type: string example: "GROUND LEVEL" - description: LVL - QUALITY: + description: lvl + quality: type: string example: "FULLY VISIBLE" - description: Quality - TYPE: + description: quality + type: type: string example: "FITTNESS STATION / PLAYGROUND" description: type - INC_CRC: + inc_crc: type: string example: "A96A55E334CF84C1" description: inc_crc @@ -296,7 +320,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 22, 2022 + example: Published Date - Mar 30, 2022 x-details: Data structure changed description: Latest Version v1.0.0: @@ -333,7 +357,7 @@ components: default: false items: type: object - example: [{"match_phrase":{"properties.QUALITY":"FULLY VISIBLE"}}] + example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] description: |+ Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match From 44c3b6586d17552cbd6664812c8bb603a1522178 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Mar 2022 17:48:25 +0530 Subject: [PATCH 3915/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 2a634596f..e15935a7e 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -30,10 +30,7 @@ info: "coordinates":[ [ [103.69907590788098,1.341790133926203],[ 103.6990219038758, 1.341868809532727],[103.69919264733477,1.341893585818229], [103.69919936085681,1.341886273517502],[103.69907590788098, - 1.341790133926203 - ] - ] - ] + 1.341790133926203 ]]] }, "relation": "intersects" } From 13dbdfd7bc97ca08452e1c2038dab61f0c351c7c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 11:10:55 +0530 Subject: [PATCH 3916/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index faea04abf..04752faf4 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -3,9 +3,7 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + Returns information on the map data including: coordinates, type and the details of the location. x-additionalinfo : |+ **Match Types:** A match type is a match operator. The supported match types are: @@ -21,7 +19,10 @@ info: relation should be anyone based on requirement. > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. - > WITHIN - Return all documents whose geo_shape field is within the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. > { "geo_shape": { "geometry": { From 383ff8b7ee92c42b0b53a3dac12b6e2ed2e54656 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 11:30:26 +0530 Subject: [PATCH 3917/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index a2c5f3153..cc191450f 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -3,9 +3,7 @@ info: title: HDB Lamp Posts Locations (SG) x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ - This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + Returns information on the map data including: coordinates, type and the details of the location. x-additionalinfo : |+ **Match types:** A match type is a match operator. The supported match types are: @@ -19,7 +17,10 @@ info: relation should be anyone based on requirement. > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. - > WITHIN - Return all documents whose geo_shape field is within the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. >{ "geo_shape": { "geometry": { From c541020ba6d2cb8b77c26d3ff743da0ca7fdc700 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 11:58:51 +0530 Subject: [PATCH 3918/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 04752faf4..fb42f228b 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - Returns information on the map data including: coordinates, type and the details of the location. + Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. x-additionalinfo : |+ **Match Types:** A match type is a match operator. The supported match types are: From 3533e4ca9eac913c6dd793eaa79cae58b5481198 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 11:59:17 +0530 Subject: [PATCH 3919/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index cc191450f..8f551c962 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Lamp Posts Locations (SG) x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ - Returns information on the map data including: coordinates, type and the details of the location. + Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. x-additionalinfo : |+ **Match types:** A match type is a match operator. The supported match types are: From 35baf27cfc2a92d332202712d8d8ea5b14dfcfc2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 12:00:29 +0530 Subject: [PATCH 3920/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index eb0eb9080..35f7ef8e7 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -3,9 +3,7 @@ info: title: HDB Shelters Locations (SG) x-subscribelink: amenities_shelters_hdb_sg description: |+ - This Data microservice returns the indicative outline of shelters for all Housing Development Board (HDB) Towns and Estates and only on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from SLA (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. Precinct Pavilions are not included in this microservice. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative outline of shelters for all Housing Development Board (HDB) Towns and Estates and only on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from SLA (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. Precinct Pavilions are not included in this microservice. x-additionalinfo : |+ **Match types:** A match type is a match operator. The supported match types are: @@ -21,7 +19,10 @@ info: relation should be anyone based on requirement. > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. - > WITHIN - Return all documents whose geo_shape field is within the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. > { "geo_shape": { "geometry": { From a061b03f298fcd28dbfcf0a231e1b82e068d85b9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 12:01:43 +0530 Subject: [PATCH 3921/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index e15935a7e..935f18ab3 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -3,9 +3,7 @@ info: title: HDB Fitness Stations and Playgrounds (SG) x-subscribelink: fitness_stations_and_playgrounds_hdb_sg description: |+ - This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + Returns information on the map data including: coordinates, type and the details of the location.This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. x-additionalinfo : |+ **Match types:** A match type is a match operator. The supported match types are: @@ -21,7 +19,10 @@ info: relation should be anyone based on requirement. > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. - > WITHIN - Return all documents whose geo_shape field is within the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. > { "geo_shape": { "geometry": { From 1d9c75d54d69fa6c4f4855b17f40d11967775049 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 12:09:48 +0530 Subject: [PATCH 3922/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index fb42f228b..4e04284ae 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. + Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. x-additionalinfo : |+ **Match Types:** A match type is a match operator. The supported match types are: From d2dc083ab4dc0623031cbb1e16a79ea957202f01 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 12:10:32 +0530 Subject: [PATCH 3923/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 8f551c962..0706d816a 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Lamp Posts Locations (SG) x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ - Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. + Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. x-additionalinfo : |+ **Match types:** A match type is a match operator. The supported match types are: From 2d8f13ee442b64dce66b25040562893218402338 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 12:10:58 +0530 Subject: [PATCH 3924/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 35f7ef8e7..16754e806 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Shelters Locations (SG) x-subscribelink: amenities_shelters_hdb_sg description: |+ - Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative outline of shelters for all Housing Development Board (HDB) Towns and Estates and only on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from SLA (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. Precinct Pavilions are not included in this microservice. + Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative outline of shelters for all Housing Development Board (HDB) Towns and Estates and only on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. x-additionalinfo : |+ **Match types:** A match type is a match operator. The supported match types are: From 22e172f6ef8f5e7bc90fe36855eb77d4f308ffd9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 12:11:44 +0530 Subject: [PATCH 3925/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 935f18ab3..7a3c5feed 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Fitness Stations and Playgrounds (SG) x-subscribelink: fitness_stations_and_playgrounds_hdb_sg description: |+ - Returns information on the map data including: coordinates, type and the details of the location.This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. + Returns information on the map data including: coordinates, type and the details of the location.This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. x-additionalinfo : |+ **Match types:** A match type is a match operator. The supported match types are: From 0ffab8d355d35425ec2f68341164c955a8857a02 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 31 Mar 2022 12:56:04 +0530 Subject: [PATCH 3926/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 7a3c5feed..12b21e4de 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -343,7 +343,7 @@ components: limit: type: number default: false - example: 10000 + example: 10 description: The max records to return for the request. Default - 0, Max - 10000 offset: type: number From 8543cc4cc979918cf6555203b7901a4606d96150 Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 31 Mar 2022 18:41:12 +0800 Subject: [PATCH 3927/5916] thumbnail generation yaml url changed --- computer_vision/thumbnail_generation.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index 4395cb193..c44621fb1 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -23,10 +23,10 @@ info: x-apidetailsdesc: |+ Thumbnail Generation servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Mar 18, 2022" + description: "Published Date - Mar 31, 2022" paths: /microservices/cv/thumbnailgeneration/v0/getpredictions: post: @@ -218,7 +218,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 18, 2022 + example: Published Date - Mar 31, 2022 x-details: Initial version release description: Initial version release. input: From 35ba088e474f37bd0ebdbc94c799339208d185b4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 31 Mar 2022 17:07:58 +0530 Subject: [PATCH 3928/5916] Update content_interest_profile.yaml --- data_analytics/content_interest_profile.yaml | 391 ++++++++++++++++++- 1 file changed, 390 insertions(+), 1 deletion(-) diff --git a/data_analytics/content_interest_profile.yaml b/data_analytics/content_interest_profile.yaml index d64781b40..c2a400c7e 100644 --- a/data_analytics/content_interest_profile.yaml +++ b/data_analytics/content_interest_profile.yaml @@ -601,7 +601,7 @@ paths: - stream - text - transcript - - transcript text + - transcript - utterance - continuous piece - piece @@ -846,6 +846,136 @@ paths: schema: $ref: '#/components/schemas/input' required: true + /microservice/dataanalytics/cip/v0/getvisitsdetails: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/successvisitdetails' + example: + message: Successfully Processed + status: Success + results: '{"nb_uniq_visitors":72,"nb_users":0,"nb_visits":77,"nb_actions":159,"nb_visits_converted":0,"bounce_count":44,"sum_visit_length":6618,"max_actions":12,"bounce_rate":"57%","nb_actions_per_visit":2.1,"avg_time_on_site":86}' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/visitdetailsinput' + required: true + /microservice/dataanalytics/cip/v0/getpagedetails: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/successpagedetails' + example: + message: Successfully Processed + status: Success + results: '[{"label":"/ai-data","nb_visits":7,"nb_uniq_visitors":7,"nb_hits":11,"sum_time_spent":619,"nb_hits_with_time_server":"11","min_time_server":"0.0390","max_time_server":"2.1600","nb_hits_with_time_transfer":"11","min_time_transfer":"0.0000","max_time_transfer":"0.0120","nb_hits_with_time_dom_processing":"11","min_time_dom_processing":"0.1200","max_time_dom_processing":"1.3060","exit_nb_uniq_visitors":"3","exit_nb_visits":"3","avg_time_server":0.939,"avg_time_transfer":0.005,"avg_time_dom_processing":0.499,"avg_page_load_time":1.443,"avg_time_on_page":56,"bounce_rate":"0%","exit_rate":"43%","url":"https://www.sentient.io/ai-data","segment":"pageUrl==https%253A%252F%252Fwww.sentient.io%252Fai-data"}]' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/pagedetailsinput' + required: true components: schemas: successcontentprofile: @@ -973,6 +1103,180 @@ components: type: string example: Success description: The status of the API call Success/Failure + successvisitdetails: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: { Date: Fri, 1 Apr 2022 11:59:18 +0530 Subject: [PATCH 3929/5916] Update content_interest_profile.yaml --- data_analytics/content_interest_profile.yaml | 204 ++++++++++++++++++- 1 file changed, 197 insertions(+), 7 deletions(-) diff --git a/data_analytics/content_interest_profile.yaml b/data_analytics/content_interest_profile.yaml index c2a400c7e..8b91f474e 100644 --- a/data_analytics/content_interest_profile.yaml +++ b/data_analytics/content_interest_profile.yaml @@ -976,6 +976,71 @@ paths: schema: $ref: '#/components/schemas/pagedetailsinput' required: true + /microservice/dataanalytics/cip/v0/getcustomdimension: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/successcustomdimension' + example: + message: Successfully Processed + status: Success + results: '[{"label":"user2","nb_uniq_visitors":9,"nb_visits":10,"nb_actions":61,"max_actions":14,"sum_visit_length":5092,"bounce_count":1,"nb_visits_converted":0,"avg_time_on_site":509,"bounce_rate":"10%","nb_actions_per_visit":6.1,"segment":"dimension1==user2"}]' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/pagedetailsinput' + required: true components: schemas: successcontentprofile: @@ -1120,15 +1185,15 @@ components: description: The list of Json result object properties: nb_uniq_visitors: - type: string + type: number description: Number of unique visitors example: 7 nb_users: - type: string + type: number description: Number of unique active users example: 0 nb_visits: - type: string + type: number description: Number of Visits example: 7 nb_actions: @@ -1163,7 +1228,7 @@ components: type: number description: Average time spent on website example: 330 - successpagedetails: + successcustomdimension: type: object properties: message: @@ -1185,12 +1250,82 @@ components: type: string description: This is used to search only for the row matching example: ai-data + nb_uniq_visitors: + type: number + description: Number of unique visitors + example: 9 nb_visits: + type: number + description: Number of Visits + example: 10 + nb_actions: + type: number + description: Number of actions + example: 61 + max_actions: + type: number + description: Maximum number of actions in a visit + example: 14 + sum_visit_length: + type: number + description: Total time spent, in seconds + example: 5092 + bounce_count: + type: number + description: Number of visits that bounced + example: 1 + max_time_server: + type: number + description: Maxmimum time in the server + example: 2.1600 + nb_visits_converted: + type: number + description: Number of visits that converted a goal + example: 0 + avg_time_on_site: + type: number + description: Average time spent + example: 509 + bounce_rate: + type: number + description: Ratio of visits leaving the website after landing on this page + example: 10% + nb_actions_per_visit: + type: number + description: Number of actions per visit + example: 6.1 + segment: + type: string + description: defines the Custom Segment you wish to filter your reports. + example: dimension1==user2 + successpagedetails: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: array + example: [{ Date: Fri, 1 Apr 2022 14:45:31 +0530 Subject: [PATCH 3930/5916] Update content_interest_profile.yaml --- data_analytics/content_interest_profile.yaml | 50 +++++++++----------- 1 file changed, 22 insertions(+), 28 deletions(-) diff --git a/data_analytics/content_interest_profile.yaml b/data_analytics/content_interest_profile.yaml index 8b91f474e..06b748a2d 100644 --- a/data_analytics/content_interest_profile.yaml +++ b/data_analytics/content_interest_profile.yaml @@ -1039,7 +1039,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/pagedetailsinput' + $ref: '#/components/schemas/customdimensioninput' required: true components: schemas: @@ -1688,14 +1688,14 @@ components: - period - date properties: - idSite: + id_site: type: number default: true example: 1 description: |+ The ID of the website we're tracking a visit/action for. - - can also specify a list of idSites comma separated, eg. idSite=1,4,5,6 - - if you want to get data for all websites, set idSite=all + - can also specify a list of idSites comma separated, eg. id_site=1,4,5,6 + - if you want to get data for all websites, set id_site=all period: type: string default: true @@ -1717,19 +1717,26 @@ components: -- lastX for the last X periods including today -- previousX returns the last X periods before today -- YYYY-MM-DD,YYYY-MM-DD for every period - filter_limit: + limit: type: string default: false example: 3 description: |+ Optional. By default, only the top 100 rows are returned. Set to -1 to return all rows. - segment: + offset: + type: string + default: false + example: 1 + description: |+ + Optional. By default, only the top 100 rows are returned. + Set to -1 to return all rows. + page_url: type: string default: false - example: pageUrl==https://www.sentient.io/ai-data + example: https://www.sentient.io/ai-data description: |+ - It defines the Custom Segment you wish to filter your reports to. + Optional. It defines the Custom Segment you wish to filter your reports to. customdimensioninput: type: object required: @@ -1737,20 +1744,20 @@ components: - period - date properties: - idDimension: + id_dimension: type: number default: true example: 1 description: |+ The ID of the custom dimension we're tracking a visit/action for. - idSite: + id_site: type: number default: true example: 1 description: |+ The ID of the website we're tracking a visit/action for. - - can also specify a list of idSites comma separated, eg. idSite=1,4,5,6 - - if you want to get data for all websites, set idSite=all + - can also specify a list of idSites comma separated, eg. id_site=1,4,5,6 + - if you want to get data for all websites, set id_site=all period: type: string default: true @@ -1772,19 +1779,6 @@ components: -- lastX for the last X periods including today -- previousX returns the last X periods before today -- YYYY-MM-DD,YYYY-MM-DD for every period - filter_limit: - type: string - default: false - example: 3 - description: |+ - Optional. By default, only the top 100 rows are returned. - Set to -1 to return all rows. - segment: - type: string - default: false - example: pageUrl==https://www.sentient.io/ai-data - description: |+ - It defines the Custom Segment you wish to filter your reports to. visitdetailsinput: type: object required: @@ -1792,14 +1786,14 @@ components: - period - date properties: - idSite: + id_site: type: number default: true example: 1 description: |+ The ID of the website we're tracking a visit/action for. - - can also specify a list of idSites comma separated, eg. idSite=1,4,5,6 - - if you want to get data for all websites, set idSite=all + - can also specify a list of idSites comma separated, eg. id_site=1,4,5,6 + - if you want to get data for all websites, set id_site=all period: type: string default: true From fe222c52c06b53dbe77a030aac5f446670a3b56e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 1 Apr 2022 15:47:20 +0530 Subject: [PATCH 3931/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 4e04284ae..c8c17d03e 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -233,7 +233,7 @@ components: coordinates: type: array items: - example: 103.71618687465097 + example: 103.71618687465097 1.348193609950229 unauthorized: type: object From b324904288f285f1494cb3f2d25fd0b82bfccd3d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 1 Apr 2022 17:38:34 +0530 Subject: [PATCH 3932/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 0706d816a..f6f10ac63 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -361,6 +361,9 @@ components: Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase + * range + * geo_distance + * geo_shape * exists securitySchemes: From 0e519918b331935b3c34c1caafc12ae7f6b31e2f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 1 Apr 2022 17:38:37 +0530 Subject: [PATCH 3933/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index c8c17d03e..05172fdde 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -366,6 +366,9 @@ components: Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase + * range + * geo_distance + * geo_shape * exists securitySchemes: APIAuthorizer: From 20b369b893ff31764c857a63008263447d3d8d1f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 1 Apr 2022 17:39:11 +0530 Subject: [PATCH 3934/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 16754e806..c0568cd03 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -417,6 +417,8 @@ components: Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase + * geo_distance + * geo_shape * exists securitySchemes: From 09e83c993494558ad3b2bb7efa1155f3938d1516 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 1 Apr 2022 17:39:25 +0530 Subject: [PATCH 3935/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 12b21e4de..4166bf605 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -360,6 +360,8 @@ components: Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase + * geo_distance + * geo_shape * exists securitySchemes: From 3fa5f9ac4c9ebc374f1f5de54e1833c57e0fc28a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 1 Apr 2022 17:39:37 +0530 Subject: [PATCH 3936/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index f6f10ac63..63aea9e2d 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -361,7 +361,6 @@ components: Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase - * range * geo_distance * geo_shape * exists From 29f329d89073e6aa2bd81f0aee8f4f527f5217fd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 1 Apr 2022 17:39:47 +0530 Subject: [PATCH 3937/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 05172fdde..c2fac921e 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -366,7 +366,6 @@ components: Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase - * range * geo_distance * geo_shape * exists From 821f7049066e5a83b5bc7a791837c858357c7796 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 4 Apr 2022 21:40:38 +1000 Subject: [PATCH 3938/5916] Update content_interest_profile.yaml --- data_analytics/content_interest_profile.yaml | 15 ++++++--------- 1 file changed, 6 insertions(+), 9 deletions(-) diff --git a/data_analytics/content_interest_profile.yaml b/data_analytics/content_interest_profile.yaml index 06b748a2d..f0e8d5b9b 100644 --- a/data_analytics/content_interest_profile.yaml +++ b/data_analytics/content_interest_profile.yaml @@ -6,13 +6,16 @@ info: This microservice helps profile the content and interest from the web page traffic. Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/Cookie/etc.) based on the history of documents it has accessed over time and the profile of those documents. Upon subscription, a javascript is send to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required user can also pass in user ID in order to identify the user using the external_id field. It would address English language texts only. + In addition to the CIP microservices, we are also releasing few analytics overview microservice namely, traffic overview, page overview and external id analytics. x-additionalinfo : |+ - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/content_interest_profile.yaml + Filters are applicable only for Content and Interest Profiling APIs. **Match Types:** - A match type is a match operator. The supported match types are: + A match type is a match operator nested within a filter that fine-tunes the matching condition of the text search. The supported match types are: + * **match_phrase** - Search within a full text field > {"match_phrase":{"content_categories":"news/business news/construction"}} * **match** - Search within a full text field for a single word @@ -28,7 +31,7 @@ info: > {"bool":{"must":[{"match":{"content_categories":"news"}}]}} > {"bool":{"should":[{"match":{"content_categories":"news"}},{"match":{"content_ngrams":"solutions"}}]}} - **Sample Queries Based on Use Cases** + **Sample Queries Based on Use Cases for Content and Interest Profiling APIs.** 1. **Search for the profiles matching categories news/business news/construction.** @@ -976,7 +979,7 @@ paths: schema: $ref: '#/components/schemas/pagedetailsinput' required: true - /microservice/dataanalytics/cip/v0/getcustomdimension: + /microservice/dataanalytics/cip/v0/getexternaliddetails: post: tags: - v0.1.0 @@ -1744,12 +1747,6 @@ components: - period - date properties: - id_dimension: - type: number - default: true - example: 1 - description: |+ - The ID of the custom dimension we're tracking a visit/action for. id_site: type: number default: true From 26740fa2461db5087f0c30f31753e10955af0de2 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 5 Apr 2022 09:15:05 +0800 Subject: [PATCH 3939/5916] sentence ranking yaml added to index yaml --- index.yaml | 4 ++++ nlp/textimportance.yaml | 6 +++--- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index 284da8fb3..35a8721a4 100644 --- a/index.yaml +++ b/index.yaml @@ -111,6 +111,10 @@ nlp: title: Sentence Paraphrase versions: 0.1.0: 'sentence_paraphrase.yaml' + sentence_ranking: + title: Sentence Ranking + versions: + 0.1.0: 'textimportance.yaml' spacy_ner: title: spaCy NER versions: diff --git a/nlp/textimportance.yaml b/nlp/textimportance.yaml index 1b0aa833c..4b6d78e6d 100644 --- a/nlp/textimportance.yaml +++ b/nlp/textimportance.yaml @@ -1,14 +1,14 @@ openapi: 3.0.1 info: - title: text_importance_model + title: Sentence Ranking description: |+ This NLP microservice given a set of sentences in a text document, rank each sentence by their importance/relevance after pre-processing. version: v0.1.0 x-additionalinfo: |+ Suggested usecases: It can be used in text analytics to understanding importance and get a textual importance of any provided document. servers: - - url: 'https://https://dev-apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - March 30, 2022" @@ -235,7 +235,7 @@ components: oneOf: - type: string example: Published Date - March 30, 2022 - description: TO FILL MANUALLY + description: Initial version release. input: type: object required: From a68f319d4ad65357899581f338e38f033380f741 Mon Sep 17 00:00:00 2001 From: wchia <62536464+wchia@users.noreply.github.com> Date: Tue, 5 Apr 2022 15:44:58 +0800 Subject: [PATCH 3940/5916] Update rule_engine.yaml Updated description --- data_analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data_analytics/rule_engine.yaml b/data_analytics/rule_engine.yaml index d07cb9810..5f3e64f8c 100644 --- a/data_analytics/rule_engine.yaml +++ b/data_analytics/rule_engine.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Rule Engine description: |+ - It is an expert-system program, which runs the rules on the data and if any condition matches then it executes the corresponding actions. The inference engine is the component of the intelligent system in artificial intelligence, which applies logical rules to the knowledge base to infer new information from known facts. Inference-Engine’s program works in three phases to execute the rule on given data, Match, Resolve and Execute. + It is an expert-system program, which runs the rules on the data and if any condition matches then it executes the corresponding actions. The inference engine is the component of the intelligent system in artificial intelligence, which applies logical rules to the knowledge base to infer new information from known facts. Inference-Engine’s program works in three phases to execute the rule on given data: Match, Resolve and Execute. version: '0.1.0' x-additionalinfo: |+ From 633832c81c3a4ef8388bfed90400306ba707ceb2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:00:35 +0530 Subject: [PATCH 3941/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 135 ++++++++++++++++++-------- 1 file changed, 92 insertions(+), 43 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index c2fac921e..e5f810dd0 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -188,53 +188,102 @@ components: example: {} description: Json Object of returned results properties: - type: - type: string - example: "Feature" - description: type - properties: + max_score: + type: number + example: 0 + description: The highest score value + total: type: object example: {} - description: Json Object of returned results + description: Json Object of returned hits properties: - featid: - type: integer - example: 128 - description: FEATID - lvl: - type: string - example: "GROUND LEVEL" - description: LVL - quality: - type: string - example: "FULLY VISIBLE" - description: Quality - type: - type: string - example: "HARDCOURT" - description: type - inc_crc: - type: string - example: "6CBA10726FCF8D23" - description: inc_crc - fmel_upd_d: - type: string - example: "2018-06-29" - description: fmel_upd_d - geometry: - type: object - example: {} - description: Json Object of returned results - properties: - type: + relation: type: string - example: "Polygon" - description: type - coordinates: - type: array - items: - example: 103.71618687465097 - 1.348193609950229 + example: eq + description: ID for this road work + total: + type: integer + example: 1 + description: Total number of records + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + properties: + type: object + example: {} + description: Json Object of returned results + properties: + featid: + type: integer + example: 128 + description: FEATID + lvl: + type: string + example: "GROUND LEVEL" + description: LVL + quality: + type: string + example: "FULLY VISIBLE" + description: Quality + type: + type: string + example: "HARDCOURT" + description: type + inc_crc: + type: string + example: "6CBA10726FCF8D23" + description: inc_crc + fmel_upd_d: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Polygon" + description: type + coordinates: + type: array + items: + example: 103.71618687465097 + 1.348193609950229 + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + geometry_type: + type: string + description: Type of Geometry Coordinates + example: "Polygon" unauthorized: type: object properties: From 62ee10f0e2ed45a808c4f83a64b60e0d364f1b99 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:04:15 +0530 Subject: [PATCH 3942/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 44 +++++++++++++-------------- 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index e5f810dd0..66eba59ac 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -74,38 +74,38 @@ paths: message: Successfully Processed results: hits: - - _id: d5pNsH8B1VPRFDGbTafY + - _id: 3161fa9077473e138ed _index: hdb_map_index _score: 0 _source: geometry: coordinates: - - 103.75898806278323 - - 1.35076246656039 - - 103.75904274102436 - - 1.350768674890894 - - 103.75905820988616 - - 1.350646753578955 - - 103.75900152607664 - - 1.350639871436288 - - 103.75898806278323 - - 1.35076246656039 + - - - 103.70325637102218 + - 1.340288655171077 + - - 103.70324988930291 + - 1.340330798101515 + - - 103.7033615141859 + - 1.340351217328143 + - - 103.70336972380933 + - 1.34030944346928 + - - 103.70325637102218 + - 1.340288655171077 type: Polygon - lastupdated: '2022-03-22T14:25:29.452Z' + geometry_type: Polygon + lastupdated: '2022-04-05T16:05:00.644Z' properties: - featid: 129 + featid: 316 fmel_upd_d: '2018-06-29' - inc_crc: C70C5D2A82FCBDC2 + inc_crc: 1FA9077473E138ED lvl: GROUND LEVEL quality: FULLY VISIBLE - type: HARDCOURT - property_type: HARDCOURT - type: Polygon - unique_id: 129c70c5d2a82fcbdc2 - _type: doc + type: FITNESS STATION / PLAYGROUND + _type: _doc max_score: 0 - total: 971 - scroll_id: DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAInuFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACJ7RZHeWxGN1VqalJqcUxpOUgzMU1BeV9nAAAAAAAAie8WR3lsRjdVampSanFMaTlIMzFNQXlfZwAAAAAAAInwFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACJ8RZHeWxGN1VqalJqcUxpOUgzMU1BeV9n + total: + relation: eq + value: 3118 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== status: Success '401': @@ -215,7 +215,7 @@ components: _index: type: string description: Index group of the document - example: "lta_road_works" + example: "hdb_map_index" _type: type: string description: Content type of the document From 93195bd1669953c5be965b3a52e48d050e30943d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:11:50 +0530 Subject: [PATCH 3943/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 66eba59ac..8aed4510b 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -74,21 +74,21 @@ paths: message: Successfully Processed results: hits: - - _id: 3161fa9077473e138ed + _id: 3161fa9077473e138ed _index: hdb_map_index _score: 0 _source: geometry: coordinates: - - - - 103.70325637102218 + - 103.70325637102218 - 1.340288655171077 - - - 103.70324988930291 + - 103.70324988930291 - 1.340330798101515 - - - 103.7033615141859 + - 103.7033615141859 - 1.340351217328143 - - - 103.70336972380933 + - 103.70336972380933 - 1.34030944346928 - - - 103.70325637102218 + - 103.70325637102218 - 1.340288655171077 type: Polygon geometry_type: Polygon From 75d72c9e18b28aa6eb8265b933114b78914ac01a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:14:22 +0530 Subject: [PATCH 3944/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 8aed4510b..418e9a7b8 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -219,7 +219,7 @@ components: _type: type: string description: Content type of the document - example: "dir_doc" + example: "_doc" _id: type: string description: Document ID From 4be78f990d3c4eb7abc3e065d3cb35a1e90f08ff Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:21:44 +0530 Subject: [PATCH 3945/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 418e9a7b8..03c4b0afa 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -241,23 +241,23 @@ components: featid: type: integer example: 128 - description: FEATID + description: Properties FEATID lvl: type: string example: "GROUND LEVEL" - description: LVL + description: Properties Level quality: type: string example: "FULLY VISIBLE" - description: Quality + description: Quality of Properties type: type: string example: "HARDCOURT" - description: type + description: Property Types inc_crc: type: string example: "6CBA10726FCF8D23" - description: inc_crc + description: INC_CRC fmel_upd_d: type: string example: "2018-06-29" From e80315fe95e62f88a641beea4229103f588c9d8d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:23:22 +0530 Subject: [PATCH 3946/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 03c4b0afa..e7814f30e 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -200,7 +200,7 @@ components: relation: type: string example: eq - description: ID for this road work + description: Realtion between total counts and display result count. total: type: integer example: 1 From f7ab349598e2238b4ec6b209b871547fb5c4f640 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:24:42 +0530 Subject: [PATCH 3947/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index e7814f30e..9496c8bfa 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -195,13 +195,13 @@ components: total: type: object example: {} - description: Json Object of returned hits + description: Json Object of returned total properties: relation: type: string example: eq description: Realtion between total counts and display result count. - total: + value: type: integer example: 1 description: Total number of records From 46d9c07fb152d309a7455fbc2225e8f720263fcd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:31:41 +0530 Subject: [PATCH 3948/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 9496c8bfa..c6fa60c60 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -223,7 +223,7 @@ components: _id: type: string description: Document ID - example: "rminrm2021061572arthurroad" + example: "156edd775b13856fc71" _score: type: number description: The document score for the search request From 8fa57523c324f4c29f96b84794f8894f206af5dc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:40:02 +0530 Subject: [PATCH 3949/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 63aea9e2d..78a368308 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -38,7 +38,9 @@ info: > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}}]}} - + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} version: '2.0.0' x-apitype: small file x-apitypedescription: |+ @@ -173,7 +175,8 @@ components: status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call Success/Failure + scroll_id: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== results: type: object example: {} From 47452a92dd2e4e61db9280c5851efb037ebb6be0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:49:10 +0530 Subject: [PATCH 3950/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index c6fa60c60..120a1abfd 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -38,7 +38,10 @@ info: > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - + + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} version: '2.0.0' x-apitype: small file x-apitypedescription: |+ @@ -182,7 +185,8 @@ components: status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call Success/Failure + scroll_id: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== results: type: object example: {} From b7dede97c88e33902997a0b1c35aa8dc9785a945 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 14:50:22 +0530 Subject: [PATCH 3951/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 120a1abfd..5c3a460d5 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -229,9 +229,9 @@ components: description: Document ID example: "156edd775b13856fc71" _score: - type: number + type: float description: The document score for the search request - example: 0 + example: 0.0 _source: type: object example: {} From 9e41c9eaf87df21722defa0a46deb96e014c5a6c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 15:22:46 +0530 Subject: [PATCH 3952/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 5c3a460d5..e42a6c091 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -279,7 +279,7 @@ components: type: array items: example: 103.71618687465097 - 1.348193609950229 + 1.348193609950229 lastupdated: type: string description: Record last updated date on sentient From 6c16abf9900b7a6fcf520323614009503024cb56 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 15:25:26 +0530 Subject: [PATCH 3953/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index e42a6c091..be4686957 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -275,11 +275,13 @@ components: type: string example: "Polygon" description: type - coordinates: - type: array - items: - example: 103.71618687465097 - 1.348193609950229 + coordinates: + type: array + items: + type: number + example: + - 103.757362163026585 + 1.349439786854645 lastupdated: type: string description: Record last updated date on sentient From d91476db83e40b8ca01480c4ae6d127cd80610be Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 15:37:23 +0530 Subject: [PATCH 3954/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 17 +++-------------- 1 file changed, 3 insertions(+), 14 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index be4686957..6d6f3ce18 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -267,20 +267,9 @@ components: example: "2018-06-29" description: fmel_upd_d geometry: - type: object - example: {} - description: Json Object of returned results - properties: - type: - type: string - example: "Polygon" - description: type - coordinates: - type: array - items: - type: number - example: - - 103.757362163026585 + type: geo_shape + description: Location coordinates and its type + example: {"type": "LineString", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]}6585 1.349439786854645 lastupdated: type: string From 2bd033a6e3b1933a96b670fe8c38339616bc6374 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 15:40:21 +0530 Subject: [PATCH 3955/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 27 +++++++++++++++------------ 1 file changed, 15 insertions(+), 12 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 6d6f3ce18..d86c7134c 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -85,14 +85,6 @@ paths: coordinates: - 103.70325637102218 - 1.340288655171077 - - 103.70324988930291 - - 1.340330798101515 - - 103.7033615141859 - - 1.340351217328143 - - 103.70336972380933 - - 1.34030944346928 - - 103.70325637102218 - - 1.340288655171077 type: Polygon geometry_type: Polygon lastupdated: '2022-04-05T16:05:00.644Z' @@ -267,10 +259,21 @@ components: example: "2018-06-29" description: fmel_upd_d geometry: - type: geo_shape - description: Location coordinates and its type - example: {"type": "LineString", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]}6585 - 1.349439786854645 + type: object + example: {} + description: Json Object of returned results + properties: + type: + type: string + example: "Point" + description: type + coordinates: + type: array + items: + type: number + example: + - 103.757362163026585 + 1.349439786854645 lastupdated: type: string description: Record last updated date on sentient From 189cda4ffb2edfa90fd5f41c1cc4f11170eed9bb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 15:51:12 +0530 Subject: [PATCH 3956/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 42 ++++++++++++++++++--------- 1 file changed, 28 insertions(+), 14 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index d86c7134c..bbb0af8a6 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -260,20 +260,34 @@ components: description: fmel_upd_d geometry: type: object - example: {} - description: Json Object of returned results - properties: - type: - type: string - example: "Point" - description: type - coordinates: - type: array - items: - type: number - example: - - 103.757362163026585 - 1.349439786854645 + example: { + "coordinates": [ + [ + [ + 103.74078184376863, + 1.338518429771009 + ], + [ + 103.74091355795706, + 1.338518078450399 + ], + [ + 103.74091402374538, + 1.338293084625927 + ], + [ + 103.74078145145886, + 1.338293105822206 + ], + [ + 103.74078184376863, + 1.338518429771009 + ] + ] + ], + "type": "Polygon" + } + description: Geo shape details lastupdated: type: string description: Record last updated date on sentient From 35d04b44ec34b1bfddc14c690edf6d1f1c2b0484 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 15:54:41 +0530 Subject: [PATCH 3957/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index bbb0af8a6..e1c7ca3fa 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -178,7 +178,10 @@ components: type: string example: Success description: The status of the API call Success/Failure - scroll_id: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id results: type: object example: {} From 410a6549c2313fbce14bf24608d091f5fd627e2f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:15:16 +0530 Subject: [PATCH 3958/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 32 +++------------------------ 1 file changed, 3 insertions(+), 29 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index e1c7ca3fa..d1b8e31a7 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -262,35 +262,9 @@ components: example: "2018-06-29" description: fmel_upd_d geometry: - type: object - example: { - "coordinates": [ - [ - [ - 103.74078184376863, - 1.338518429771009 - ], - [ - 103.74091355795706, - 1.338518078450399 - ], - [ - 103.74091402374538, - 1.338293084625927 - ], - [ - 103.74078145145886, - 1.338293105822206 - ], - [ - 103.74078184376863, - 1.338518429771009 - ] - ] - ], - "type": "Polygon" - } - description: Geo shape details + type: geo_shape + description: Location coordinates and its type + example: {"type": "LineString", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} lastupdated: type: string description: Record last updated date on sentient From a11b6521d76ed03dbb084d0e0ce33f89c4afff55 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:18:53 +0530 Subject: [PATCH 3959/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index d1b8e31a7..dc7a874b3 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -264,7 +264,7 @@ components: geometry: type: geo_shape description: Location coordinates and its type - example: {"type": "LineString", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} + example: {"type": "Polygon", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} lastupdated: type: string description: Record last updated date on sentient From d74fa98f6ae92823b6159cf44b6b3b70e035fd0c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:25:47 +0530 Subject: [PATCH 3960/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 162 ++++++++++++++++---------- 1 file changed, 100 insertions(+), 62 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 78a368308..786c510ad 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -76,30 +76,30 @@ paths: message: Successfully Processed results: hits: - - _id: 4ZpNsH8B1VPRFDGbjLoe + - _id: 8893890212d4766fe20d _index: hdb_map_index _score: 0 _source: geometry: coordinates: - - 103.82709969896652 - - 1.284112489206572 + - 103.91016904258795 + - 1.329420542256962 type: Point - lastupdated: '2022-03-22T14:25:40.805Z' + geometry_type: Point + lastupdated: '2022-04-05T16:09:49.832Z' properties: - featid: 12888 + featid: 8893 fmel_upd_d: '2018-06-29' - inc_crc: B36680519553298F + inc_crc: 890212D4766FE20D lvl: GROUND LEVEL - quality: PARTIALLY VISIBLE + quality: FULLY VISIBLE type: LAMP POST - property_type: LAMP POST - type: Point - unique_id: 12888b36680519553298f - _type: doc + _type: _doc max_score: 0 - total: 23 - scroll_id: DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAIoSFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKExZHeWxGN1VqalJqcUxpOUgzMU1BeV9nAAAAAAAAihQWR3lsRjdVampSanFMaTlIMzFNQXlfZwAAAAAAAIoVFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKFhZHeWxGN1VqalJqcUxpOUgzMU1BeV9n + total: + relation: eq + value: 23431 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGUWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== status: Success '401': description: Unauthorized @@ -175,64 +175,102 @@ components: status: type: string example: Success - description: The status of the API call Success/Failure - scroll_id: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: The status of the API call Success/Failure + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id results: type: object example: {} description: Json Object of returned results properties: - type: - type: string - example: "Feature" - description: type - properties: + max_score: + type: number + example: 0 + description: The highest score value + total: type: object example: {} - description: Json Object of returned results + description: Json Object of returned total properties: - featid: - type: integer - example: 8888 - description: featid - lvl: - type: string - example: "GROUND LEVEL" - description: lvl - quality: - type: string - example: "PARTIALLY VISIBLE" - description: quality - type: + relation: type: string - example: "LAMP POST" - description: type - inc_crc: - type: string - example: "B2485B94230255EC" - description: inc_crc - fmel_upd_d: - type: string - example: "2018-06-29" - description: fmel_upd_d - geometry: - type: object - example: {} - description: Json Object of returned results - properties: - type: - type: string - example: "Point" - description: type - coordinates: - type: array - items: - type: array - items: - type: number - example: 103.71618687465097 - 1.348193609950229 - description: coordinates + example: eq + description: Realtion between total counts and display result count. + value: + type: integer + example: 1 + description: Total number of records + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + properties: + type: object + example: {} + description: Json Object of returned results + properties: + featid: + type: integer + example: 128 + description: Properties FEATID + lvl: + type: string + example: "GROUND LEVEL" + description: Properties Level + quality: + type: string + example: "FULLY VISIBLE" + description: Quality of Properties + type: + type: string + example: "HARDCOURT" + description: Property Types + inc_crc: + type: string + example: "6CBA10726FCF8D23" + description: INC_CRC + fmel_upd_d: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: geo_shape + description: Location coordinates and its type + example: {"type": "Point", "coordinates": [[103.8300615, 1.3060184]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + geometry_type: + type: string + description: Type of Geometry Coordinates + example: "Point" unauthorized: type: object properties: From 2080973f1b3ef3dad9e028cf98e7e25f258992a2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:27:36 +0530 Subject: [PATCH 3961/5916] Update recommendation_engine.yaml --- data_analytics/recommendation_engine.yaml | 60 +++++++++++++++++++++++ 1 file changed, 60 insertions(+) diff --git a/data_analytics/recommendation_engine.yaml b/data_analytics/recommendation_engine.yaml index 059bbb49c..9b9fac21a 100644 --- a/data_analytics/recommendation_engine.yaml +++ b/data_analytics/recommendation_engine.yaml @@ -341,9 +341,58 @@ paths: schema: $ref: '#/components/schemas/rebulkuploaditeminput' required: true + /reselected/v0/getresults: + description: |+ + This API is used to update the selected option + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/reselectedsuccess' + example: + message: Successfully Processed + status: Success + + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/reselectedinput' + required: true components: schemas: readdeventsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Processed + status: + type: string + description: The status of the API call. + example: Success + reselectedsuccess: type: object properties: message: @@ -610,6 +659,17 @@ components: description: |+ Recommendation engine name example: sentient engine + reselectedinput: + type: object + required: + - re_id + properties: + re_id: + type: string + default: true + description: |+ + Unique identifier number of the records + example: 07629354-b01a-11ec-bb42-d29531929cde reiteminput: type: object required: From d017c0cc1111b564fe78143c1a9614427f8164ed Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:32:01 +0530 Subject: [PATCH 3962/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 229 ++++++++++++++-------------- 1 file changed, 111 insertions(+), 118 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index c0568cd03..3738b6449 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -38,7 +38,9 @@ info: > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} version: '2.0.0' x-apitype: small file x-apitypedescription: |+ @@ -74,86 +76,38 @@ paths: message: Successfully Processed results: hits: - - _id: yJtNsH8B1VPRFDGb9AbO + - _id: 340461a6a0c72740ed _index: hdb_map_index _score: 0 _source: geometry: coordinates: - - 103.83896370719248 - - 1.379917141038405 - - 103.8389617689625 - - 1.379914774321904 - - 103.83895945063658 - - 1.379912782917438 - - 103.83895682499933 - - 1.379911226512886 - - 103.83895397022681 - - 1.379910153039367 - - 103.83895097348078 - - 1.379909594149399 - - 103.83894792551727 - - 1.379909567930089 - - 103.838944919788 - - 1.37991007438118 - - 103.8389420479475 - - 1.379911099032636 - - 103.83893939536021 - - 1.379912609327147 - - 103.83893704379629 - - 1.379914560950682 - - 103.83893506514151 - - 1.379916893310656 - - 103.83893351870162 - - 1.379919536770902 - - 103.83893245210083 - - 1.379922409938516 - - 103.83893189678908 - - 1.379925425994456 - - 103.8389318707376 - - 1.379928492693536 - - 103.8389323739462 - - 1.379931517790612 - - 103.83893339203745 - - 1.379934409040575 - - 103.83893489356107 - - 1.37993707872015 - - 103.83893683179102 - - 1.379939444532327 - - 103.83893915011696 - - 1.379941436841178 - - 103.83894177575425 - - 1.379942993245732 - - 103.8389446305268 - - 1.379944066719282 - - 103.83894762727286 - - 1.379944624704878 - - 103.83895067433784 - - 1.379944651828569 - - 103.83895368006714 - - 1.379944144473109 - - 103.83895655280627 - - 1.379943120725983 - - 103.83895920539358 - - 1.37994160952709 - - 103.83896155695751 - - 1.379939657903533 + - 103.83591962785529 + 1.381192407476683 + - 103.83599688718462 + 1.381088400081616 + - 103.83589434536609 + 1.381011246171939 + - 103.83581708693336 + 1.381115253563739 + - 103.83591962785529 + 1.381192407476683 type: Polygon - lastupdated: '2022-03-22T14:26:12.134Z' + geometry_type: Polygon + lastupdated: '2022-04-05T16:36:15.538Z' properties: - featid: 32 + featid: 34 fmel_upd_d: '2018-06-29' - inc_crc: 47C214E0ED444693 + inc_crc: 0461A6A0C72740ED lvl: GROUND LEVEL - quality: PARTIALLY VISIBLE + quality: FULLY VISIBLE type: SHELTER - property_type: SHELTER - type: Polygon - unique_id: 3247c214e0ed444693 - _type: doc + _type: _doc max_score: 0 - total: 1582 - scroll_id: DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAInzFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACJ8hZHeWxGN1VqalJqcUxpOUgzMU1BeV9nAAAAAAAAifQWR3lsRjdVampSanFMaTlIMzFNQXlfZwAAAAAAAIn1Fkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACJ9hZHeWxGN1VqalJqcUxpOUgzMU1BeV9n + total: + relation: eq + value: 1582 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGsWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABG4WdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABG8WdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGwWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABG0WdjVWcXJXaVhRaXVaQzBma19Jckthdw== status: Success '401': description: Unauthorized @@ -229,63 +183,102 @@ components: status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call Success/Failure + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id results: type: object example: {} description: Json Object of returned results properties: - type: - type: string - example: "Feature" - description: type - properties: - type: object - example: {} - description: Json Object of returned results - properties: - featid: - type: integer - example: 32 - description: featid - lvl: - type: string - example: "GROUND LEVEL" - description: GROUND LEVEL - quality: - type: string - example: "PARTIALLY VISIBLE" - description: quality - type: - type: string - example: "SHELTER" - description: type - inc_crc: - type: string - example: "47C214E0ED444693" - description: inc_crc - fmel_upd_d: - type: string - example: "2018-06-29" - description: fmel_upd_d - geometry: + max_score: + type: number + example: 0 + description: The highest score value + total: type: object example: {} - description: Json Object of returned results + description: Json Object of returned total properties: - type: + relation: type: string - example: "Polygon" - description: type - coordinates: - type: array - items: - type: array - items: - type: number - example: 103.71618687465097 - 1.348193609950229 - description: coordinates + example: eq + description: Realtion between total counts and display result count. + value: + type: integer + example: 1 + description: Total number of records + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + properties: + type: object + example: {} + description: Json Object of returned results + properties: + featid: + type: integer + example: 128 + description: Properties FEATID + lvl: + type: string + example: "GROUND LEVEL" + description: Properties Level + quality: + type: string + example: "FULLY VISIBLE" + description: Quality of Properties + type: + type: string + example: "SHELTER" + description: Property Types + inc_crc: + type: string + example: "6CBA10726FCF8D23" + description: INC_CRC + fmel_upd_d: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: geo_shape + description: Location coordinates and its type + example: {"type": "Polygon", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + geometry_type: + type: string + description: Type of Geometry Coordinates + example: "Polygon" unauthorized: type: object properties: From 3581813ffa8240b5b9814bade3c196131c73956a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:32:49 +0530 Subject: [PATCH 3963/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 786c510ad..f49241acd 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -249,7 +249,7 @@ components: description: Quality of Properties type: type: string - example: "HARDCOURT" + example: "LAMP POST" description: Property Types inc_crc: type: string From 78aed1b18d2c064cd33e6eb9ece148cd11014070 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:37:25 +0530 Subject: [PATCH 3964/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- ...tness_stations_and_playgrounds_hdb_sg.yaml | 299 +++++++++++------- 1 file changed, 183 insertions(+), 116 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 4166bf605..53c22944a 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -2,18 +2,24 @@ openapi: 3.0.1 info: title: HDB Fitness Stations and Playgrounds (SG) x-subscribelink: fitness_stations_and_playgrounds_hdb_sg - description: |+ - Returns information on the map data including: coordinates, type and the details of the location.This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. - x-additionalinfo : |+ + description: > + Returns information on the map data including: coordinates, type and the + details of the location.This Data microservice captures the indicative + outline of fitness stations/playgrounds for all Housing Development Board of + Singapore (HDB) Towns, HDB Estates and on HDB Land. + x-additionalinfo: > **Match types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} * **match** - Search within a full text field for a single word > {"match":{"properties.quality":"FULLY VISIBLE"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"properties.featid"}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long + * **geo_distance** - Returns the geo search based on the distance and + location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} * **geo_shape** - Returns the geo search based on the type and coordinates. relation should be anyone based on requirement. @@ -42,27 +48,27 @@ info: > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - version: '2.0.0' + version: 2.0.0 x-apitype: small file - x-apitypedescription: |+ + x-apitypedescription: | Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ + x-inputfilelimit: | Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ + x-responsetime: | Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ + x-billingmethod: | The API is billed by per request. - x-notes: |+ + x-notes: | Process up to 10,000 records. - x-apidetailsdesc: |+ + x-apidetailsdesc: | Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: https://dev-apis.sentient.io tags: -- name: "v2.0.0" - description: "Published Date - Mar 30, 2022" + - name: v2.0.0 + description: Published Date - Mar 30, 2022 paths: - /microservices/data/fitnessstationplaygrnd/v2/getdata: + /microservices/data/fitnessstationplaygrnd/v2/getdata: post: tags: - v2.0.0 @@ -77,30 +83,39 @@ paths: message: Successfully Processed results: hits: - - _id: 4ZpNsH8B1VPRFDGbjLoe - _index: hdb_map_index - _score: 0 - _source: - geometry: - coordinates: - - 103.82709969896652 - - 1.284112489206572 - type: Point - lastupdated: '2022-03-22T14:25:40.805Z' - properties: - featid: 12888 - fmel_upd_d: '2018-06-29' - inc_crc: B36680519553298F - lvl: GROUND LEVEL - quality: PARTIALLY VISIBLE - type: LAMP POST - property_type: LAMP POST - type: Point - unique_id: 12888b36680519553298f - _type: doc + - _id: 3161fa9077473e138ed + _index: hdb_map_index + _score: 0 + _source: + geometry: + coordinates: + - 103.70325637102218 + 1.340288655171077 + - 103.70324988930291 + 1.340330798101515 + - 103.7033615141859 + 1.340351217328143 + - 103.70336972380933 + 1.34030944346928 + - 103.70325637102218 + 1.340288655171077 + type: Polygon + geometry_type: Polygon + lastupdated: '2022-04-05T16:05:00.644Z' + properties: + featid: 316 + fmel_upd_d: '2018-06-29' + inc_crc: 1FA9077473E138ED + lvl: GROUND LEVEL + quality: FULLY VISIBLE + type: FITNESS STATION / PLAYGROUND + _type: _doc max_score: 0 - total: 23431 - scroll_id: DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAIoXFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKGBZHeWxGN1VqalJqcUxpOUgzMU1BeV9nAAAAAAAAihkWR3lsRjdVampSanFMaTlIMzFNQXlfZwAAAAAAAIoaFkd5bEY3VWpqUmpxTGk5SDMxTUF5X2cAAAAAAACKGxZHeWxGN1VqalJqcUxpOUgzMU1BeV9n + total: + relation: eq + value: 3118 + scroll_id: >- + FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHUWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHcWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHYWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHkWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHgWdjVWcXJXaVhRaXVaQzBma19Jckthdw== status: Success '401': description: Unauthorized @@ -126,12 +141,6 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' '413': description: Payload Too Large content: @@ -144,6 +153,12 @@ paths: application/json: schema: $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' '500': description: Internal Server Error content: @@ -161,8 +176,8 @@ paths: requestBody: content: application/json: - schema: - $ref: '#/components/schemas/input' + schema: + $ref: '#/components/schemas/input' required: true components: schemas: @@ -176,59 +191,102 @@ components: status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call Success/Failure + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id results: type: object example: {} description: Json Object of returned results properties: - type: - type: string - example: "Feature" - description: type - properties: - type: object - example: {} - description: Json Object of returned results - properties: - featid: - type: integer - example: 312 - description: featid - lvl: - type: string - example: "GROUND LEVEL" - description: lvl - quality: - type: string - example: "FULLY VISIBLE" - description: quality - type: - type: string - example: "FITTNESS STATION / PLAYGROUND" - description: type - inc_crc: - type: string - example: "A96A55E334CF84C1" - description: inc_crc - geometry: + max_score: + type: number + example: 0 + description: The highest score value + total: type: object example: {} - description: Json Object of returned results + description: Json Object of returned total properties: - type: + relation: type: string - example: "Polygon" - description: type - coordinates: - type: array - items: - type: array - items: - type: number - example: 103.71618687465097 - 1.348193609950229 - description: coordinates + example: eq + description: Realtion between total counts and display result count. + value: + type: integer + example: 1 + description: Total number of records + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + properties: + type: object + example: {} + description: Json Object of returned results + properties: + featid: + type: integer + example: 128 + description: Properties FEATID + lvl: + type: string + example: "GROUND LEVEL" + description: Properties Level + quality: + type: string + example: "FULLY VISIBLE" + description: Quality of Properties + type: + type: string + example: "HARDCOURT" + description: Property Types + inc_crc: + type: string + example: "6CBA10726FCF8D23" + description: INC_CRC + fmel_upd_d: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: geo_shape + description: Location coordinates and its type + example: {"type": ""FITNESS STATION / PLAYGROUND", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + geometry_type: + type: string + description: Type of Geometry Coordinates + example: ""FITNESS STATION / PLAYGROUND" unauthorized: type: object properties: @@ -312,31 +370,31 @@ components: example: Failure versions: type: object - properties: + properties: v2.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 30, 2022 - x-details: Data structure changed - description: Latest Version + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 30, 2022 + x-details: Data structure changed + description: Latest Version v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Archived + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Archived v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived input: type: object properties: @@ -354,14 +412,23 @@ components: type: array default: false items: - type: object - example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + type: object + example: + - match_phrase: + properties.quality: FULLY VISIBLE + description: >+ + Its a list of filters to refine the search further. Default it + returns the today's latest record. Each filter consists of a match + type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists securitySchemes: From 5849e362ac8f4a5aca7488b2fbabbb1152ceaa0e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:40:15 +0530 Subject: [PATCH 3965/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 53c22944a..32f50443c 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -265,7 +265,7 @@ components: description: Quality of Properties type: type: string - example: "HARDCOURT" + example: ""FITNESS STATION / PLAYGROUND" description: Property Types inc_crc: type: string @@ -286,7 +286,7 @@ components: geometry_type: type: string description: Type of Geometry Coordinates - example: ""FITNESS STATION / PLAYGROUND" + example: "Polygon" unauthorized: type: object properties: From 5957fea4b0dc82104b4994b81ac247a88fc1123d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:48:51 +0530 Subject: [PATCH 3966/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 32f50443c..f0544b63a 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -202,7 +202,7 @@ components: description: Json Object of returned results properties: max_score: - type: number + type: float example: 0 description: The highest score value total: From 7d9a2ebbd10f9a6f96c9045c7522437f15589594 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:49:53 +0530 Subject: [PATCH 3967/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index f49241acd..e6ea64895 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -186,7 +186,7 @@ components: description: Json Object of returned results properties: max_score: - type: number + type: float example: 0 description: The highest score value total: From fba51cf3f0c873db418146dddebdd68f6189a554 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:53:55 +0530 Subject: [PATCH 3968/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 3738b6449..02320b674 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -194,7 +194,7 @@ components: description: Json Object of returned results properties: max_score: - type: number + type: float example: 0 description: The highest score value total: From de6cb267d82711a5e0d3ee71473e1445969e3ae8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:58:08 +0530 Subject: [PATCH 3969/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index dc7a874b3..4a2635243 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -188,8 +188,8 @@ components: description: Json Object of returned results properties: max_score: - type: number - example: 0 + type: float + example: 0.0 description: The highest score value total: type: object From 03cd62431228b4106f5f9834484d23bf0c25b0e2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 16:59:15 +0530 Subject: [PATCH 3970/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index f0544b63a..b721d2c61 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -265,7 +265,7 @@ components: description: Quality of Properties type: type: string - example: ""FITNESS STATION / PLAYGROUND" + example: "FITNESS STATION / PLAYGROUND" description: Property Types inc_crc: type: string From 91af7072d72a364677de547e2fa02c2d444ad04b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 17:01:18 +0530 Subject: [PATCH 3971/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index b721d2c61..ef6fb3644 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -203,7 +203,7 @@ components: properties: max_score: type: float - example: 0 + example: 0.0 description: The highest score value total: type: object From 926f8a0cae2850d4f1b1048e803868211071f5b4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 17:02:13 +0530 Subject: [PATCH 3972/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index e6ea64895..1f2f82ae1 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -187,7 +187,7 @@ components: properties: max_score: type: float - example: 0 + example: 0.0 description: The highest score value total: type: object From 103f9ec733134d0b76222f7a94fb3709a54fe991 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 17:03:03 +0530 Subject: [PATCH 3973/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 02320b674..0472be06f 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -195,7 +195,7 @@ components: properties: max_score: type: float - example: 0 + example: 0.0 description: The highest score value total: type: object From ff11ee8127aeff35d198ea9a414f58748c341b53 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 5 Apr 2022 17:11:04 +0530 Subject: [PATCH 3974/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index ef6fb3644..7bc5eade4 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -278,7 +278,7 @@ components: geometry: type: geo_shape description: Location coordinates and its type - example: {"type": ""FITNESS STATION / PLAYGROUND", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} + example: {"type": "FITNESS STATION / PLAYGROUND", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} lastupdated: type: string description: Record last updated date on sentient From e815403b2ddd7ee1684f78aaa77ca89914954274 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 6 Apr 2022 10:24:55 +0530 Subject: [PATCH 3975/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 00f1fdb09..e7756127f 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -5,7 +5,7 @@ info: description: |+ The text-to-speech REST API supports neural text-to-speech voices, which support specific languages and dialects that are identified by locale. - The input text should not exceed **400 characters**. + The input text should not exceed **60000 characters**. x-additionalinfo: |+ Other than English, it is mandatory to mention the voice name. Supported languages are: From 728d3f059a36266d9ac8e704623012575cd7aca4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 6 Apr 2022 14:22:23 +0530 Subject: [PATCH 3976/5916] Update index.yaml --- index.yaml | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/index.yaml b/index.yaml index 35a8721a4..18a6d69b8 100644 --- a/index.yaml +++ b/index.yaml @@ -180,20 +180,7 @@ nlp: google_translate_large_file: title: Google Translate (Large File) versions: - 0.1.0: 'google_translate_large_file.yaml' -data analytics: - recommendation_engine: - title: Recommendation Engine - versions: - 0.1.0: 'recommendation_engine.yaml' - rule_engine: - title: Rule Engine - versions: - 0.1.0: 'rule_engine.yaml' - content_interest_profile: - title: Content Interest Profile - versions: - 0.1.0: 'content_interest_profile.yaml' + 0.1.0: 'google_translate_large_file.yaml' computer vision: object_detection: title: Object Detection @@ -452,7 +439,20 @@ data: train_stations_sg: title: Train Stations (SG) versions: - 0.1.0: 'train_stations_sg.yaml' + 0.1.0: 'train_stations_sg.yaml' +analytics: + recommendation_engine: + title: Recommendation Engine + versions: + 0.1.0: 'recommendation_engine.yaml' + rule_engine: + title: Rule Engine + versions: + 0.1.0: 'rule_engine.yaml' + content_interest_profile: + title: Content Interest Profile + versions: + 0.1.0: 'content_interest_profile.yaml' data alliance: download_dataset_api: title: Download Dataset API From cda9bf3bf5c8423b7d0704184ece2296f0746865 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 6 Apr 2022 14:26:49 +0530 Subject: [PATCH 3977/5916] Renaming folder --- {data_analytics => analytics}/content_interest_profile.yaml | 0 {data_analytics => analytics}/recommendation_engine.yaml | 0 {data_analytics => analytics}/rule_engine.yaml | 0 3 files changed, 0 insertions(+), 0 deletions(-) rename {data_analytics => analytics}/content_interest_profile.yaml (100%) rename {data_analytics => analytics}/recommendation_engine.yaml (100%) rename {data_analytics => analytics}/rule_engine.yaml (100%) diff --git a/data_analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml similarity index 100% rename from data_analytics/content_interest_profile.yaml rename to analytics/content_interest_profile.yaml diff --git a/data_analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml similarity index 100% rename from data_analytics/recommendation_engine.yaml rename to analytics/recommendation_engine.yaml diff --git a/data_analytics/rule_engine.yaml b/analytics/rule_engine.yaml similarity index 100% rename from data_analytics/rule_engine.yaml rename to analytics/rule_engine.yaml From 4e21c2baf3fe180b7c9c20b934b0faf0bcb87cd5 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 6 Apr 2022 17:20:33 +0800 Subject: [PATCH 3978/5916] Update amenities_hardcourts_hdb_sg.yaml Updated description --- data/amenities_hardcourts_hdb_sg.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 4a2635243..5e8cbf778 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -3,7 +3,9 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + x-additionalinfo : |+ **Match Types:** A match type is a match operator. The supported match types are: From 7d6b813ba1d8c16ff21956a880a26a76ff1ae760 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 6 Apr 2022 17:21:19 +0800 Subject: [PATCH 3979/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 5e8cbf778..407ebffcb 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -4,6 +4,7 @@ info: x-subscribelink: amenities_hardcourts_hdb_sg description: |+ This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ From 5d6c78124a84147d125d6a4717cda289e1b40de4 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 6 Apr 2022 17:26:29 +0800 Subject: [PATCH 3980/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 407ebffcb..3549a296f 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -3,9 +3,9 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and/or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + \n The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ **Match Types:** From 0b8442f0ccc92b274c16fe296fa42f9b09709a97 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 6 Apr 2022 17:28:46 +0800 Subject: [PATCH 3981/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 3549a296f..a8c411aef 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -3,9 +3,11 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and/or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and / or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. - \n The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ **Match Types:** From f39ee1d9d89fa9296bfa9a470697e2056c8550a8 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 6 Apr 2022 18:03:56 +0800 Subject: [PATCH 3982/5916] thai ner yaml modified --- nlp/named-entity_recognition_thai.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 2c0f19d04..0293e23c2 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -208,8 +208,8 @@ components: type: array example: [{"entity":info@nrpsc.ac.th,"start":34,"end":38}] description: "email id found in the text string" - len: - x-name: len + measurement: + x-name: measurement type: array example: [{"entity":30 กิโลเมตร,"start":12,"end":18},{"entity":5 กม.,"start":1,"end":5}] description: "distance in km found in the text string" @@ -228,8 +228,8 @@ components: type: array example: [{"entity":http://www.bangkokhealth.com/,"start":10,"end":20}] description: "url in the text string" - zip: - x-name: zip + postal_code: + x-name: postal_code type: array example: [{"entity":10400,"start":15,"end":20}] description: "zipcode found in the text string" From 77925089e5ee6d4fd507ce094243f85fd7a828d3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Apr 2022 16:41:44 +0530 Subject: [PATCH 3983/5916] Add files via upload --- computer_vision/thumbnail_generation.yaml | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index c44621fb1..229715e14 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -1,4 +1,3 @@ - openapi: 3.0.1 info: title: Thumbnail Generation @@ -23,10 +22,10 @@ info: x-apidetailsdesc: |+ Thumbnail Generation servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Mar 31, 2022" + description: "Published Date - Apr 06, 2022" paths: /microservices/cv/thumbnailgeneration/v0/getpredictions: post: @@ -213,6 +212,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 06, 2022 + x-details: Bug Fix + description: Initial version release. v0.1.0: type: array items: @@ -220,7 +227,7 @@ components: - type: string example: Published Date - Mar 31, 2022 x-details: Initial version release - description: Initial version release. + description: Archived. input: type: object required: @@ -266,4 +273,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From e830ddca257afec5aaabe7dad3fad554ecbdcfd0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Apr 2022 16:43:01 +0530 Subject: [PATCH 3984/5916] Add files via upload --- computer_vision/thumbnail_generation.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index 229715e14..4b1eff965 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -218,8 +218,8 @@ components: oneOf: - type: string example: Published Date - Apr 06, 2022 - x-details: Bug Fix - description: Initial version release. + x-details: Latest Version + description: Bug Fix. v0.1.0: type: array items: From c9114af5da2a852e0958db3df557af7c83874d0a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Apr 2022 16:46:07 +0530 Subject: [PATCH 3985/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 18a6d69b8..52e3e92dc 100644 --- a/index.yaml +++ b/index.yaml @@ -236,7 +236,7 @@ computer vision: thumbnail_generation: title: Thumbnail Generation versions: - 0.1.0: 'thumbnail_generation.yaml' + 0.1.1: 'thumbnail_generation.yaml' invoice_scanner: title: Invoice Scanner versions: From abc4c2f858ace98a209c0449e9760afbb00484c5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Apr 2022 16:48:46 +0530 Subject: [PATCH 3986/5916] Add files via upload --- computer_vision/thumbnail_generation.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index 4b1eff965..fa16836f5 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -4,7 +4,7 @@ info: description: |+ This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video. Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis. The size of your video file should not exceed 10MB - version: v0.1.0 + version: v0.1.1 x-additionalinfo: |+ Video filetypes accepted are 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' x-subscribelink: thumbnail_generation @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.1.1" description: "Published Date - Apr 06, 2022" paths: /microservices/cv/thumbnailgeneration/v0/getpredictions: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: success response From f883fa3be1cb80acc0a04c4e2e4fedab9a8c7cc4 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 11:10:52 +0800 Subject: [PATCH 3987/5916] Update amenities_shelters_hdb_sg.yaml Updated description --- data/amenities_shelters_hdb_sg.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 0472be06f..6812ade7c 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -3,7 +3,9 @@ info: title: HDB Shelters Locations (SG) x-subscribelink: amenities_shelters_hdb_sg description: |+ - Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative outline of shelters for all Housing Development Board (HDB) Towns and Estates and only on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. + This Data microservice returns the indicative outline of shelters for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ **Match types:** A match type is a match operator. The supported match types are: From fe8f219d51c062d93aa7b0e79e6f83584f6fa987 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 11:34:05 +0800 Subject: [PATCH 3988/5916] Update amenities_hardcourts_hdb_sg.yaml Update Input and Out Parameters --- data/amenities_hardcourts_hdb_sg.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index a8c411aef..262dec774 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -194,7 +194,7 @@ components: properties: max_score: type: float - example: 0.0 + example: 0.9 description: The highest score value total: type: object @@ -231,7 +231,7 @@ components: _score: type: float description: The document score for the search request - example: 0.0 + example: 0.5 _source: type: object example: {} @@ -390,12 +390,12 @@ components: type: object properties: limit: - type: number + type: integer default: false - example: 10 + example: 0 description: The max records to return for the request. Default - 0, Max - 10000 offset: - type: number + type: integer default: false example: 0 description: The offset of the record list ie the starting index . Default - 0 @@ -406,7 +406,7 @@ components: type: object example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + A list of filters to refine the search further. Default response returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase * geo_distance From a9289de2b6be3f517288b9825236788558af21ce Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 11:46:07 +0800 Subject: [PATCH 3989/5916] Update amenities_lamp_posts_hdb_sg.yaml Updated input and output parameters. Long description changed. --- data/amenities_lamp_posts_hdb_sg.yaml | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 1f2f82ae1..1f78f51c1 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -3,7 +3,9 @@ info: title: HDB Lamp Posts Locations (SG) x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ - Returns information on the map data including: coordinates, type and the details of the location.This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. + This Data microservice returns the indicative locations of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + x-additionalinfo : |+ **Match types:** A match type is a match operator. The supported match types are: @@ -187,7 +189,7 @@ components: properties: max_score: type: float - example: 0.0 + example: 0.9 description: The highest score value total: type: object @@ -224,7 +226,7 @@ components: _score: type: float description: The document score for the search request - example: 0.0 + example: 0.5 _source: type: object example: {} @@ -383,12 +385,12 @@ components: type: object properties: limit: - type: number + type: integer default: false - example: 10 + example: 0 description: The max records to return for the request. Default - 0, Max - 10000 offset: - type: number + type: integer default: false example: 0 description: The offset of the record list ie the starting index . Default - 0 From d67b5bef62a97e657fd5d569b3b95b87f936692b Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 13:43:05 +0800 Subject: [PATCH 3990/5916] Update amenities_shelters_hdb_sg.yaml Updated input and output. --- data/amenities_shelters_hdb_sg.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 6812ade7c..8b6172a68 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -197,7 +197,7 @@ components: properties: max_score: type: float - example: 0.0 + example: 0.9 description: The highest score value total: type: object @@ -207,7 +207,7 @@ components: relation: type: string example: eq - description: Realtion between total counts and display result count. + description: Relation between total counts and display result count. value: type: integer example: 1 @@ -234,7 +234,7 @@ components: _score: type: float description: The document score for the search request - example: 0.0 + example: 0.5 _source: type: object example: {} @@ -393,12 +393,12 @@ components: type: object properties: limit: - type: number + type: integer default: false - example: 10 + example: 0 description: The max records to return for the request. Default - 0, Max - 10000 offset: - type: number + type: integer default: false example: 0 description: The offset of the record list ie the starting index . Default - 0 From 3b0f4e425285be44e8d996b35cdcd0bb43c83576 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 14:02:01 +0800 Subject: [PATCH 3991/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 262dec774..316a6f3c5 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and / or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and / or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. From 09c34800b69a292378936496d2dc9e3d10f48994 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 14:02:26 +0800 Subject: [PATCH 3992/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 1f78f51c1..d3bb1fb5b 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Lamp Posts Locations (SG) x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ - This Data microservice returns the indicative locations of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice returns the indicative locations of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ From 2a99cd5e1608381dca354e5cce9658722f338e5f Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 14:03:28 +0800 Subject: [PATCH 3993/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 8b6172a68..c5a5274cb 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Shelters Locations (SG) x-subscribelink: amenities_shelters_hdb_sg description: |+ - This Data microservice returns the indicative outline of shelters for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may noy accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice returns the indicative outline of shelters for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and/or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ From b18d3687437318508c49f528d6ee2dd645b95e23 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 7 Apr 2022 12:58:49 +0530 Subject: [PATCH 3994/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 9b9fac21a..7c2c31259 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -606,7 +606,7 @@ components: type: string format: binary default: true - example: sample.wav + example: sample.csv description: Maximum file size up to 10 MB. engine_name: type: string From 80420b9255d42e8dc05cbcd9f6fef32d793ecdc0 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 16:33:33 +0800 Subject: [PATCH 3995/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 316a6f3c5..49eeacb46 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -5,7 +5,7 @@ info: description: |+ This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and / or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the object. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + A successful call will return the results of the query in JSON format. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From 9e0bf05cc393c679f66e62836eb4d247727091e0 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 16:34:47 +0800 Subject: [PATCH 3996/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index d3bb1fb5b..6bc5d80a6 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -3,7 +3,9 @@ info: title: HDB Lamp Posts Locations (SG) x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ - This Data microservice returns the indicative locations of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice returns the indicative locations of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ From d3663b0296ec1b0411e0905acfe193bb01de4d2a Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 7 Apr 2022 16:50:58 +0800 Subject: [PATCH 3997/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index c5a5274cb..17f84a884 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Shelters Locations (SG) x-subscribelink: amenities_shelters_hdb_sg description: |+ - This Data microservice returns the indicative outline of shelters for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and/or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice returns the indicative outline of shelters for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and/or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ From 7b05e47594b2401d88e7d5feec62503bc04bf92f Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 7 Apr 2022 17:21:07 +0530 Subject: [PATCH 3998/5916] Create machine_translation_system.yaml --- nlp/machine_translation_system.yaml | 258 ++++++++++++++++++++++++++++ 1 file changed, 258 insertions(+) create mode 100644 nlp/machine_translation_system.yaml diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml new file mode 100644 index 000000000..30b8eb215 --- /dev/null +++ b/nlp/machine_translation_system.yaml @@ -0,0 +1,258 @@ + +openapi: 3.0.1 +info: + title: machine_translation_system + description: |+ + A machine learning translation system supporting four official languages in Singapore(English, Malay, Chinese, Tamil) and supports 7 language pairs ie: + 1. English - Chinese + 2. English - Tamil + 3. Chinese - English + 4. Chinese - Malay + 5. Tamil - English + 6. Malay - English + 7. English - Malay + version: v0.1.0 + x-additionalinfo: |+ + Suggested usecases: It can be used to translate text for any applications, and can be augmented to internationalize + with existing NLP microservices provided by sentient.io. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - April 07, 2022" +paths: + /microservices/nlp/translate/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + translation_text: "\u65E9\u4E0A\u597D" + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + translation_text: + description: Translated text in target language + example: "\u65E9\u4E0A\u597D" + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - April 07, 2022 + description: Machine Translation System + input: + type: object + required: + + - text + + - source + + - target + + properties: + text: + x-name: text + type: string + default: True + example: Good Morning + description: |+ + The input text to be passed + source: + x-name: source + type: string + default: True + example: en + description: |+ + The source language of text + target: + x-name: target + type: string + default: True + example: zh + description: |+ + The target language for which text to be translated + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 13ee17088856347fbbc73f98f2a611336972f338 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Fri, 8 Apr 2022 10:56:41 +0800 Subject: [PATCH 3999/5916] Update building_addresses_hdb_sg.yaml Updated Description. --- data/building_addresses_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index b830328b5..932ec627c 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -3,8 +3,8 @@ info: title: HDB Block Coordinates (SG) x-subscribelink: building_addresses_hdb_sg description: |+ - This Data microservice retrieves information on the Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. Updated monthly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + This Data microservice retrieves information on Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. The information is updated monthly. A successful call will return the results of the query in JSON format. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). From 1ea6edc5ba4446498a611c41c590cc8a3876e621 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 8 Apr 2022 11:08:23 +0530 Subject: [PATCH 4000/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 155 +++++++++++++++++++++++++-- 1 file changed, 145 insertions(+), 10 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 7c2c31259..a6794e3fd 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -21,12 +21,12 @@ info: x-notes: |+ File size cannot exceed 10 MB. servers: - - url: 'https://dev-apis.sentient.io/recommedationengine/microservices/dataanalytics' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 30, 2020" paths: - /readdevent/v0/getresults: + /microservices/analytics/recommendationengine/v0/addevent: description: |+ This API is used to add the event to recommendation engine post: @@ -63,7 +63,7 @@ paths: schema: $ref: '#/components/schemas/readdeventinput' required: true - /readditem/v0/getresults: + /microservices/analytics/recommendationengine/v0/additem: description: |+ This API is used to add the item and its properties to recommendation engine post: @@ -100,7 +100,7 @@ paths: schema: $ref: '#/components/schemas/readditeminput' required: true - /redeleteevent/v0/getresults: + /microservices/analytics/recommendationengine/v0/deleteevent: description: |+ This API is used to delete the event from recommendation engine post: @@ -137,7 +137,7 @@ paths: schema: $ref: '#/components/schemas/redeleteeventinput' required: true - /reitem/v0/getresults: + /microservices/analytics/recommendationengine/v0/getitem: description: |+ This API is used to get recommendation based on the item post: @@ -183,7 +183,7 @@ paths: $ref: '#/components/schemas/reiteminput' required: true - /reuser/v0/getresults: + /microservices/analytics/recommendationengine/v0/getuser: description: |+ This API is used to get the recommendation based on the user post: @@ -228,7 +228,7 @@ paths: schema: $ref: '#/components/schemas/reuserinput' required: true - /retrainengine/v0/getresults: + /microservices/analytics/recommendationengine/v0/trainengine: description: |+ This API is used to train the recommendation engine post: @@ -265,7 +265,7 @@ paths: schema: $ref: '#/components/schemas/retraineventinput' required: true - /rebulkuploadevent/v0/getresults: + /microservices/analytics/recommendationengine/v0/bulkuploadevent: description: |+ This API is used to bulk upload the event to recommendation engine post: @@ -303,7 +303,7 @@ paths: schema: $ref: '#/components/schemas/rebulkuploadeventinput' required: true - /rebulkuploaditem/v0/getresults: + /microservices/analytics/recommendationengine/v0/bulkuploaditem: description: |+ This API is used to bulk upload the item and its properties to recommendation engine post: @@ -341,7 +341,7 @@ paths: schema: $ref: '#/components/schemas/rebulkuploaditeminput' required: true - /reselected/v0/getresults: + /microservices/analytics/recommendationengine/v0/getselected: description: |+ This API is used to update the selected option post: @@ -379,8 +379,132 @@ paths: schema: $ref: '#/components/schemas/reselectedinput' required: true + /microservices/analytics/recommendationengine/v0/getanalytics: + description: |+ + This API is used to get analytics of the recommendation engine usage + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getanalyticssuccess' + example: + message: Successfully Processed + status: Success + + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/getanalyticsinput' + required: true components: schemas: + getanalyticssuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Processed + status: + type: string + description: The status of the API call. + example: Success + results: + type: array + description: The result of the API call. + example: List of objects + items: + type: object + properties: + ID: + type: string + description: The result of the API call. + example: bdcd1f86-b65c-11ec-9705-5ee8.... + EXTERNAL_ID: + type: string + description: The result of the API call. + example: "Page 1" + ENTITY_TYPE: + type: string + description: The result of the API call. + example: pagename + ENTITY_DETAILS: + type: string + description: The result of the API call. + example: null + INPUT: + type: string + description: The result of the API call. + example: {\"engineId\": \"ttap-om-page\", \"item\": \"Page 1\", \"itemBias\": \"\", \"from\": \"\", \"num\": \"\", \"rules\": [], \"dateRange\": {}, \"blacklistItems\": [], \"returnSelf\": false} + RE_TYPE: + type: string + description: The result of the API call. + example: ML + OPTIONS: + type: string + description: The result of the API call. + example: 11 + SELECTED: + type: string + description: The result of the API call. + example: false + CREATED_DATE_TIME: + type: string + description: The result of the API call. + example: 2022-04-07T18:23:17 + owner_id: + type: string + description: The result of the API call. + example: 1821 + owner_name: + type: string + description: The result of the API call. + example: TTAP + org_id: + type: string + description: The result of the API call. + example: 1821 + org_name: + type: string + description: The result of the API call. + example: TTAP + user_id: + type: string + description: The result of the API call. + example: 2601 + user_name: + type: string + description: The result of the API call. + example: ttap_admin + api_key: + type: string + description: The result of the API call. + example: A2FAAE0499E7... + updated_date_time: + type: string + description: The result of the API call. + example: null readdeventsuccess: type: object properties: @@ -900,6 +1024,17 @@ components: example: "2022-01-19T21:02:49.228Z" description: |+ The ISO8601 formatted string for the time the event occurred. + getanalyticsinput: + type: object + required: + - owner_id + properties: + owner_id: + type: number + default: true + description: |+ + Owner id to get the analytics + example: 1281 readdeventinput: type: object required: From 4dc5f13b66f4e19e3f7023e593ccd0e90d6270f8 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 8 Apr 2022 14:11:09 +0800 Subject: [PATCH 4001/5916] Index yaml updated for machine translation --- index.yaml | 5 +++++ nlp/machine_translation_system.yaml | 2 +- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 52e3e92dc..1a10a3624 100644 --- a/index.yaml +++ b/index.yaml @@ -181,6 +181,11 @@ nlp: title: Google Translate (Large File) versions: 0.1.0: 'google_translate_large_file.yaml' + machine_translation_system: + title: Machine Translation System + versions: + 0.1.0: 'machine_translation_system.yaml' + machine_translation_system computer vision: object_detection: title: Object Detection diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index 30b8eb215..bfbc2ee96 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: - title: machine_translation_system + title: Machine Translation System description: |+ A machine learning translation system supporting four official languages in Singapore(English, Malay, Chinese, Tamil) and supports 7 language pairs ie: 1. English - Chinese From b33bdefcff85699d25ba79008a3c231b79c186cc Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 8 Apr 2022 14:11:51 +0800 Subject: [PATCH 4002/5916] Index yaml updated for machine translation --- index.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/index.yaml b/index.yaml index 1a10a3624..7c25442ee 100644 --- a/index.yaml +++ b/index.yaml @@ -185,7 +185,6 @@ nlp: title: Machine Translation System versions: 0.1.0: 'machine_translation_system.yaml' - machine_translation_system computer vision: object_detection: title: Object Detection From 60479848841f310215d26b2f1d2cc75700149a32 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 8 Apr 2022 14:18:24 +0800 Subject: [PATCH 4003/5916] machine translation yaml edited --- nlp/machine_translation_system.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index bfbc2ee96..863780e20 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -13,8 +13,8 @@ info: 7. English - Malay version: v0.1.0 x-additionalinfo: |+ - Suggested usecases: It can be used to translate text for any applications, and can be augmented to internationalize - with existing NLP microservices provided by sentient.io. + Suggested usecases: It can be used to translate text for any applications, and can be augmented to internationalize + with existing NLP microservices provided by sentient.io. servers: - url: 'https://dev-apis.sentient.io' tags: From d6f354927d7fc5fcfb2d589e4b4152b12999b9e9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 8 Apr 2022 11:51:10 +0530 Subject: [PATCH 4004/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 20 +++++++++++++++----- 1 file changed, 15 insertions(+), 5 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index f0e8d5b9b..b3e8f3edb 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -69,7 +69,9 @@ tags: - name: "v0.1.0" description: "Published Date - Apr 01, 2022" paths: - /microservice/dataanalytics/cip/v0/getinterestprofile: + /microservices/analytics/ciprofile/v0/getinterestprofile: + description: |+ + This API is used to get interset profile post: tags: - v0.1.0 @@ -557,7 +559,9 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /microservice/dataanalytics/cip/v0/getcontentprofile: + /microservices/analytics/ciprofile/v0/getcontentprofile: + description: |+ + This API is used to get content profile post: tags: - v0.1.0 @@ -849,7 +853,9 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /microservice/dataanalytics/cip/v0/getvisitsdetails: + /microservices/analytics/ciprofile/v0/getvisitsdetails: + description: |+ + This API is used to get visitors details post: tags: - v0.1.0 @@ -914,7 +920,9 @@ paths: schema: $ref: '#/components/schemas/visitdetailsinput' required: true - /microservice/dataanalytics/cip/v0/getpagedetails: + /microservices/analytics/ciprofile/v0/getpagedetails: + description: |+ + This API is used to get page details post: tags: - v0.1.0 @@ -979,7 +987,9 @@ paths: schema: $ref: '#/components/schemas/pagedetailsinput' required: true - /microservice/dataanalytics/cip/v0/getexternaliddetails: + /microservices/analytics/ciprofile/v0/getexternalid: + description: |+ + This API is used to get external id details post: tags: - v0.1.0 From 91ef5b8e230830ad7d19ae1eed7aeb4e27d8941e Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 8 Apr 2022 14:21:57 +0800 Subject: [PATCH 4005/5916] xsubscribe link added for machine translation yaml --- nlp/machine_translation_system.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index 863780e20..66330f4e7 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -15,6 +15,7 @@ info: x-additionalinfo: |+ Suggested usecases: It can be used to translate text for any applications, and can be augmented to internationalize with existing NLP microservices provided by sentient.io. + x-subscribelink: machine_translation_system servers: - url: 'https://dev-apis.sentient.io' tags: From 2d60c60691e6e959b1c8e783f874fc3203f0462c Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 8 Apr 2022 14:23:43 +0800 Subject: [PATCH 4006/5916] Rearrange the txt in machine translation yaml --- nlp/machine_translation_system.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index 66330f4e7..f54713846 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -4,13 +4,13 @@ info: title: Machine Translation System description: |+ A machine learning translation system supporting four official languages in Singapore(English, Malay, Chinese, Tamil) and supports 7 language pairs ie: - 1. English - Chinese - 2. English - Tamil - 3. Chinese - English - 4. Chinese - Malay - 5. Tamil - English - 6. Malay - English - 7. English - Malay + 1. English - Chinese + 2. English - Tamil + 3. Chinese - English + 4. Chinese - Malay + 5. Tamil - English + 6. Malay - English + 7. English - Malay version: v0.1.0 x-additionalinfo: |+ Suggested usecases: It can be used to translate text for any applications, and can be augmented to internationalize From 47a17c2a0900a2bc94e15bff7ad3b072f37d0c3d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 13:42:41 +0530 Subject: [PATCH 4007/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 49eeacb46..ecb26ab27 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -62,10 +62,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 22, 2022" + description: "Published Date - Apr 08, 2022" paths: /microservices/data/hardcourt/v2/getdata: post: @@ -367,7 +367,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 30, 2022 + example: Published Date - Apr 08, 2022 x-details: Data structure changed description: Latest Version v1.0.0: From a1b6b3043dbc602e1c5f89f07fdaaf3f29184428 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 13:43:16 +0530 Subject: [PATCH 4008/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 6bc5d80a6..56f184206 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -60,10 +60,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 30, 2022" + description: "Published Date - Apr 08, 2022" paths: /microservices/data/lamppost/v2/getdata: post: @@ -364,7 +364,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 30, 2022 + example: Published Date - Apr 08, 2022 x-details: Data structure changed description: Latest Version v1.0.0: From 8ce8b775cb2a5c2ee4a4e65fc88b3c5dbeb56c8b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 13:43:57 +0530 Subject: [PATCH 4009/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 17f84a884..ca4c97f90 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -58,10 +58,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 30, 2022" + description: "Published Date - Apr 08, 2022" paths: /microservices/data/shelter/v2/getdata: post: @@ -370,7 +370,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 30, 2022 + example: Published Date - Apr 08, 2022 x-details: Data structure changed description: Latest Version v1.0.0: From c1d254b17081b70d78d6053b8613e9822c4f8e96 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 13:44:37 +0530 Subject: [PATCH 4010/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 7bc5eade4..c23b5d6f3 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -63,10 +63,10 @@ info: x-apidetailsdesc: | Provides returns all road works being / to be carried out. servers: - - url: https://dev-apis.sentient.io + - url: https://apis.sentient.io tags: - name: v2.0.0 - description: Published Date - Mar 30, 2022 + description: Published Date - Apr 08, 2022 paths: /microservices/data/fitnessstationplaygrnd/v2/getdata: post: @@ -376,7 +376,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 30, 2022 + example: Published Date - Apr 08, 2022 x-details: Data structure changed description: Latest Version v1.0.0: From 9ed0828ad8a68b5a2d163b050f735e5abbdcb579 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 13:50:26 +0530 Subject: [PATCH 4011/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index ecb26ab27..3e70cbaa0 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -62,7 +62,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Apr 08, 2022" From d898bfaf22bb64fb4c6e974327def708d2d04e01 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 14:09:54 +0530 Subject: [PATCH 4012/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 3e70cbaa0..ecb26ab27 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -62,7 +62,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Apr 08, 2022" From 5809a034618342d45a0c6232ac04b8f1db775aab Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 14:30:45 +0530 Subject: [PATCH 4013/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index ecb26ab27..3cd9ffd8d 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -390,12 +390,12 @@ components: type: object properties: limit: - type: integer + type: number default: false example: 0 description: The max records to return for the request. Default - 0, Max - 10000 offset: - type: integer + type: number default: false example: 0 description: The offset of the record list ie the starting index . Default - 0 From 7b44e40eeb3e149b35896b4b028bcc52adb65cb0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 14:33:08 +0530 Subject: [PATCH 4014/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 56f184206..de2a3f3cf 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -387,12 +387,12 @@ components: type: object properties: limit: - type: integer + type: number default: false example: 0 description: The max records to return for the request. Default - 0, Max - 10000 offset: - type: integer + type: number default: false example: 0 description: The offset of the record list ie the starting index . Default - 0 From 3b338e99cac6359c51449aec122119ecd53b9523 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 14:34:39 +0530 Subject: [PATCH 4015/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index ca4c97f90..8e64b4198 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -393,12 +393,12 @@ components: type: object properties: limit: - type: integer + type: number default: false example: 0 description: The max records to return for the request. Default - 0, Max - 10000 offset: - type: integer + type: number default: false example: 0 description: The offset of the record list ie the starting index . Default - 0 From 91c09b7b1295b13a0f980eb51468f66f93d5ee19 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Apr 2022 14:40:13 +0530 Subject: [PATCH 4016/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index c23b5d6f3..323a8db81 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -401,7 +401,7 @@ components: limit: type: number default: false - example: 10 + example: 0 description: The max records to return for the request. Default - 0, Max - 10000 offset: type: number From 07636a9ca0496d2527eb71f26a0ce7369b2a8147 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Fri, 8 Apr 2022 17:35:30 +0800 Subject: [PATCH 4017/5916] Update amenities_lamp_posts_hdb_sg.yaml Updated parameters --- data/amenities_lamp_posts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index de2a3f3cf..93914872d 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -203,7 +203,7 @@ components: example: eq description: Realtion between total counts and display result count. value: - type: integer + type: number example: 1 description: Total number of records hits: @@ -240,7 +240,7 @@ components: description: Json Object of returned results properties: featid: - type: integer + type: number example: 128 description: Properties FEATID lvl: From 7895d9874cb490b95dd633a2f3d136163428be1d Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Fri, 8 Apr 2022 17:37:31 +0800 Subject: [PATCH 4018/5916] Update amenities_shelters_hdb_sg.yaml Updated parameter --- data/amenities_shelters_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 8e64b4198..f610ff58f 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -209,7 +209,7 @@ components: example: eq description: Relation between total counts and display result count. value: - type: integer + type: number example: 1 description: Total number of records hits: @@ -246,7 +246,7 @@ components: description: Json Object of returned results properties: featid: - type: integer + type: number example: 128 description: Properties FEATID lvl: From d744c27b6ed00f826eb4bfb3fd75d00d7ae34e0b Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Fri, 8 Apr 2022 17:39:14 +0800 Subject: [PATCH 4019/5916] Update building_addresses_hdb_sg.yaml Updated parameters --- data/building_addresses_hdb_sg.yaml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 932ec627c..82b899175 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -115,14 +115,14 @@ paths: - in: query name: offset schema: - type: integer + type: number description: The offset of the record list ie the starting index example: "0" default: false - in: query name: limit schema: - type: integer + type: number description: The max records to return for the request. Default - 10, Max - 10000 example: "10" default: false @@ -234,7 +234,7 @@ components: description: Json Object of returned results properties: total: - type: integer + type: number example: 1 description: Total number of records max_score: @@ -278,7 +278,8 @@ components: description: Street Name of Building example: "serangoon central" postalcode: - type: integer + type: number + description: Postal code example: 556083 block: From 303c5ca8704184dfdfceaeb192d447d46e148520 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 8 Apr 2022 15:29:21 +0530 Subject: [PATCH 4020/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 118 +++++++++++++++++++++++- 1 file changed, 115 insertions(+), 3 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index b3e8f3edb..2bbedd3a0 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -869,7 +869,18 @@ paths: example: message: Successfully Processed status: Success - results: '{"nb_uniq_visitors":72,"nb_users":0,"nb_visits":77,"nb_actions":159,"nb_visits_converted":0,"bounce_count":44,"sum_visit_length":6618,"max_actions":12,"bounce_rate":"57%","nb_actions_per_visit":2.1,"avg_time_on_site":86}' + results: + nb_uniq_visitors: 72 + nb_users: 0 + nb_visits: 77 + nb_actions: 159 + nb_visits_converted: 0 + bounce_count: 44 + sum_visit_length: 6618 + max_actions: 12 + bounce_rate: 57% + nb_actions_per_visit: 2.1 + avg_time_on_site: 86 '401': description: Unauthorized content: @@ -936,7 +947,96 @@ paths: example: message: Successfully Processed status: Success - results: '[{"label":"/ai-data","nb_visits":7,"nb_uniq_visitors":7,"nb_hits":11,"sum_time_spent":619,"nb_hits_with_time_server":"11","min_time_server":"0.0390","max_time_server":"2.1600","nb_hits_with_time_transfer":"11","min_time_transfer":"0.0000","max_time_transfer":"0.0120","nb_hits_with_time_dom_processing":"11","min_time_dom_processing":"0.1200","max_time_dom_processing":"1.3060","exit_nb_uniq_visitors":"3","exit_nb_visits":"3","avg_time_server":0.939,"avg_time_transfer":0.005,"avg_time_dom_processing":0.499,"avg_page_load_time":1.443,"avg_time_on_page":56,"bounce_rate":"0%","exit_rate":"43%","url":"https://www.sentient.io/ai-data","segment":"pageUrl==https%253A%252F%252Fwww.sentient.io%252Fai-data"}]' + results: + - label: en + nb_visits: 6 + nb_hits: 8 + sum_time_spent: 203 + nb_hits_with_time_network: 8 + min_time_network: 0 + max_time_network: 0.315 + nb_hits_with_time_server: 8 + min_time_server: 0.049 + max_time_server: 2.065 + nb_hits_with_time_transfer: 8 + min_time_transfer: 0 + max_time_transfer: 0.031 + nb_hits_with_time_dom_processing: 6 + min_time_dom_processing: 0.227 + max_time_dom_processing: 2.73 + entry_nb_visits: 5 + entry_nb_actions: 18 + entry_sum_visit_length: 1377 + entry_bounce_count: 0 + avg_time_network: 0.058 + avg_time_server: 0.387 + avg_time_transfer: 0.011 + avg_time_dom_processing: 0.79 + avg_page_load_time: 1.246 + avg_time_on_page: 25 + bounce_rate: 0% + exit_rate: 0% + segment: pageUrl=^https%253A%252F%252Fsentient.io%252Fen + idsubdatatable: 1 + - label: /team + nb_visits: 5 + nb_uniq_visitors: 5 + nb_hits: 8 + sum_time_spent: 247 + nb_hits_with_time_network: '8' + min_time_network: '0.0000' + max_time_network: '0.1720' + nb_hits_with_time_server: '8' + min_time_server: '0.0460' + max_time_server: '2.1780' + nb_hits_with_time_transfer: '8' + min_time_transfer: '0.0010' + max_time_transfer: '0.1240' + nb_hits_with_time_dom_processing: '8' + min_time_dom_processing: '0.0430' + max_time_dom_processing: '4.4150' + entry_nb_uniq_visitors: '1' + entry_nb_visits: '1' + entry_nb_actions: '5' + entry_sum_visit_length: '115' + entry_bounce_count: '0' + avg_time_network: 0.022 + avg_time_server: 0.966 + avg_time_transfer: 0.024 + avg_time_dom_processing: 1.09 + avg_page_load_time: 2.1020000000000003 + avg_time_on_page: 31 + bounce_rate: 0% + exit_rate: 0% + url: https://www.sentient.io/team + segment: pageUrl==https%253A%252F%252Fwww.sentient.io%252Fteam + - label: /ai-colab + nb_visits: 2 + nb_uniq_visitors: 2 + nb_hits: 2 + sum_time_spent: 1035 + nb_hits_with_time_network: '2' + min_time_network: '0.0000' + max_time_network: '0.0000' + nb_hits_with_time_server: '2' + min_time_server: '2.0050' + max_time_server: '2.5210' + nb_hits_with_time_transfer: '2' + min_time_transfer: '0.0020' + max_time_transfer: '0.0040' + nb_hits_with_time_dom_processing: '2' + min_time_dom_processing: '0.3000' + max_time_dom_processing: '0.3200' + avg_time_network: 0 + avg_time_server: 2.263 + avg_time_transfer: 0.003 + avg_time_dom_processing: 0.31 + avg_page_load_time: 2.576 + avg_time_on_page: 518 + bounce_rate: 0% + exit_rate: 0% + url: https://www.sentient.io/ai-colab + segment: pageUrl==https%253A%252F%252Fwww.sentient.io%252Fai-colab '401': description: Unauthorized content: @@ -1003,7 +1103,19 @@ paths: example: message: Successfully Processed status: Success - results: '[{"label":"user2","nb_uniq_visitors":9,"nb_visits":10,"nb_actions":61,"max_actions":14,"sum_visit_length":5092,"bounce_count":1,"nb_visits_converted":0,"avg_time_on_site":509,"bounce_rate":"10%","nb_actions_per_visit":6.1,"segment":"dimension1==user2"}]' + results: + - label: user2 + nb_uniq_visitors: 8 + nb_visits: 9 + nb_actions: 29 + max_actions: 7 + sum_visit_length: 1295 + bounce_count: 0 + nb_visits_converted: 0 + avg_time_on_site: 144 + bounce_rate: 0% + nb_actions_per_visit: 3.2 + segment: dimension1==user2 '401': description: Unauthorized content: From 182b64b305b8c0d6cb6d9bc43f0d0d4c6cce32f0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 8 Apr 2022 15:48:28 +0530 Subject: [PATCH 4021/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 2bbedd3a0..1b2b6e924 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -9,7 +9,7 @@ info: In addition to the CIP microservices, we are also releasing few analytics overview microservice namely, traffic overview, page overview and external id analytics. x-additionalinfo : |+ - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/content_interest_profile.yaml + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/content_interest_profile.yaml Filters are applicable only for Content and Interest Profiling APIs. From 046be99df9ad801efedbe18322ad4f611f0c8571 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 8 Apr 2022 15:48:40 +0530 Subject: [PATCH 4022/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index a6794e3fd..816b0aa0a 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -7,7 +7,7 @@ info: x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/recommendation_engine.yaml + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/recommendation_engine.yaml x-subscribelink: recommendation_engine x-apitype: Subscription x-apitypedescription: |+ From fb7b37ec576430e890de12735fce66b5b8263f87 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 8 Apr 2022 15:49:18 +0530 Subject: [PATCH 4023/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 5f3e64f8c..cc1481d4f 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -4,9 +4,6 @@ info: description: |+ It is an expert-system program, which runs the rules on the data and if any condition matches then it executes the corresponding actions. The inference engine is the component of the intelligent system in artificial intelligence, which applies logical rules to the knowledge base to infer new information from known facts. Inference-Engine’s program works in three phases to execute the rule on given data: Match, Resolve and Execute. version: '0.1.0' - x-additionalinfo: |+ - - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/data_analytics_docs/rule_engine.yaml x-subscribelink: rule_engine x-apitype: Subscription x-apitypedescription: |+ From 5425c5ed94c8b6e118d12916db1c650f5a313c05 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 8 Apr 2022 17:03:29 +0530 Subject: [PATCH 4024/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 16 ++++++++++------ 1 file changed, 10 insertions(+), 6 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 816b0aa0a..89693fd1e 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -1026,15 +1026,19 @@ components: The ISO8601 formatted string for the time the event occurred. getanalyticsinput: type: object - required: - - owner_id properties: - owner_id: + offset: type: number - default: true + default: false + description: |+ + Default 0. It specifies the page of analytics records to display + example: 0 + limit: + type: number + default: false description: |+ - Owner id to get the analytics - example: 1281 + Default 5000. It specifies the number of analytics records to display + example: 10 readdeventinput: type: object required: From fb33dc99aa7771be6a9b89b9e4b2d97925d2c261 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 8 Apr 2022 18:50:18 +0530 Subject: [PATCH 4025/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 52 ++++++++++++++-------------- 1 file changed, 26 insertions(+), 26 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 89693fd1e..68b8a5069 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -439,71 +439,71 @@ components: properties: ID: type: string - description: The result of the API call. - example: bdcd1f86-b65c-11ec-9705-5ee8.... + description: Unique id for the list + example: bdcd1f86-b65c-11ec-97..... EXTERNAL_ID: type: string - description: The result of the API call. + description: External ID example: "Page 1" ENTITY_TYPE: type: string - description: The result of the API call. - example: pagename + description: Entity type + example: entitytype name ENTITY_DETAILS: type: string - description: The result of the API call. + description: Entity details example: null INPUT: type: string - description: The result of the API call. - example: {\"engineId\": \"ttap-om-page\", \"item\": \"Page 1\", \"itemBias\": \"\", \"from\": \"\", \"num\": \"\", \"rules\": [], \"dateRange\": {}, \"blacklistItems\": [], \"returnSelf\": false} + description: Input details + example: {\"engineId\": \"sentientengine\", \"item\": \"Page 1\", \"itemBias\": \"\", \"from\": \"\", \"num\": \"\", \"rules\": [], \"dateRange\": {}, \"blacklistItems\": [], \"returnSelf\": false} RE_TYPE: type: string - description: The result of the API call. + description: Re type example: ML OPTIONS: type: string - description: The result of the API call. + description: Options example: 11 SELECTED: type: string - description: The result of the API call. + description: Selected example: false CREATED_DATE_TIME: type: string - description: The result of the API call. + description: created date time example: 2022-04-07T18:23:17 owner_id: type: string - description: The result of the API call. - example: 1821 + description: Owner id + example: 1 owner_name: type: string - description: The result of the API call. - example: TTAP + description: Owner name + example: ownername org_id: type: string - description: The result of the API call. - example: 1821 + description: org id + example: org id org_name: type: string - description: The result of the API call. - example: TTAP + description: org name + example: org name user_id: type: string - description: The result of the API call. - example: 2601 + description: user id + example: 12 user_name: type: string - description: The result of the API call. - example: ttap_admin + description: user name + example: username api_key: type: string - description: The result of the API call. + description: Api key example: A2FAAE0499E7... updated_date_time: type: string - description: The result of the API call. + description: updated date time example: null readdeventsuccess: type: object From 29978fddab7ae628080559261f5aa1bc0d188d8f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 8 Apr 2022 18:58:04 +0530 Subject: [PATCH 4026/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 68b8a5069..d23a4449a 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -1031,13 +1031,13 @@ components: type: number default: false description: |+ - Default 0. It specifies the page of analytics records to display + Default 0. The offset of the record list ie the starting index example: 0 limit: type: number default: false description: |+ - Default 5000. It specifies the number of analytics records to display + The max records to return for the request. Default - 5000 example: 10 readdeventinput: type: object From 5aaf305ec2e0b43945a8a0bf0fb4a77334aa3471 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 11 Apr 2022 09:09:43 +0530 Subject: [PATCH 4027/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index d23a4449a..309e070ba 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -1028,13 +1028,13 @@ components: type: object properties: offset: - type: number + type: string default: false description: |+ Default 0. The offset of the record list ie the starting index example: 0 limit: - type: number + type: string default: false description: |+ The max records to return for the request. Default - 5000 From 4007c7cf77db164b80e5612945d3d383b0bb31df Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 11 Apr 2022 10:28:28 +0530 Subject: [PATCH 4028/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 3cd9ffd8d..9a5650aa4 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -392,8 +392,8 @@ components: limit: type: number default: false - example: 0 - description: The max records to return for the request. Default - 0, Max - 10000 + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 offset: type: number default: false From d9fc609d21ca81d4a9de9eb6d1fd97dccf52f656 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 11 Apr 2022 10:28:53 +0530 Subject: [PATCH 4029/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 93914872d..36606f9c9 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -389,8 +389,8 @@ components: limit: type: number default: false - example: 0 - description: The max records to return for the request. Default - 0, Max - 10000 + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 offset: type: number default: false From ace8ab6ddd2cb17bec43ab7dc5d0689356f7eda5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 11 Apr 2022 10:29:16 +0530 Subject: [PATCH 4030/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index f610ff58f..d929b0af4 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -395,8 +395,8 @@ components: limit: type: number default: false - example: 0 - description: The max records to return for the request. Default - 0, Max - 10000 + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 offset: type: number default: false From a92aff3262e957b634cc7c47b48a71ba87fe8877 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 11 Apr 2022 10:30:00 +0530 Subject: [PATCH 4031/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 323a8db81..2aba1c783 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -401,8 +401,8 @@ components: limit: type: number default: false - example: 0 - description: The max records to return for the request. Default - 0, Max - 10000 + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 offset: type: number default: false From c5801e85465e912c53270d8e2cbe02ce7ef0f55a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 11 Apr 2022 11:39:52 +0530 Subject: [PATCH 4032/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 1b2b6e924..321206e69 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -1843,14 +1843,14 @@ components: -- previousX returns the last X periods before today -- YYYY-MM-DD,YYYY-MM-DD for every period limit: - type: string + type: number default: false example: 3 description: |+ Optional. By default, only the top 100 rows are returned. Set to -1 to return all rows. offset: - type: string + type: number default: false example: 1 description: |+ From c474b6c2ea3d60a1b6b718f6dc12f767f8c2f4f1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 11 Apr 2022 12:04:51 +0530 Subject: [PATCH 4033/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 36 +++++++++++++++++----------- 1 file changed, 22 insertions(+), 14 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 309e070ba..db00cb1be 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -808,6 +808,7 @@ components: item: type: string example: Book1 + default: true description: |+ Optional. It contains the unique item identifier item_bias: @@ -822,15 +823,15 @@ components: type: number example: 0 description: |+ - Rank/position to start returning recommendations from + Optional. Rank/position to start returning recommendations from limit: type: number example: 4 description: |+ - Max number of recommendations to return + Optional. Max number of recommendations to return rules: type: array - description: Array of field values and biases to use in this query. + description: Optional. Array of field values and biases to use in this query. items: oneOf: - type: object @@ -853,7 +854,7 @@ components: date_range: type: object description: |+ - Values for the before and after are strings in ISO 8601 format. + Optional. Values for the before and after are strings in ISO 8601 format. properties: name: type: string @@ -871,7 +872,7 @@ components: type: array example: ["itemId1", "itemId2"] description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. + Optional. It specifies event types this part of the query specifies individual items to remove from returned recommendations. items: oneOf: - type: object @@ -879,7 +880,7 @@ components: type: string example: false description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + Optional. Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. reuserinput: type: object required: @@ -894,6 +895,7 @@ components: user: type: string example: User 10 + default: true description: |+ This is whatever string you use to identify a user. user_bias: @@ -908,15 +910,15 @@ components: type: number example: 0 description: |+ - Rank/position to start returning recommendations from + Optional. Rank/position to start returning recommendations from limit: type: number example: 4 description: |+ - Max number of recommendations to return + Optional.Max number of recommendations to return rules: type: array - description: Array of fields values and biases to use in this query. + description: Optional.Array of fields values and biases to use in this query. items: type: object properties: @@ -938,7 +940,7 @@ components: date_range: type: object description: |+ - Values for the before and after are strings in ISO 8601 format. + Optional. Values for the before and after are strings in ISO 8601 format. properties: name: type: string @@ -956,7 +958,7 @@ components: type: array example: ["itemId1", "itemId2"] description: |+ - It specifies event types this part of the query specifies individual items to remove from returned recommendations. + Optional. It specifies event types this part of the query specifies individual items to remove from returned recommendations. items: oneOf: - type: object @@ -964,7 +966,7 @@ components: type: string example: false description: |+ - Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. + Optional. Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. redeleteeventinput: type: object required: @@ -1027,14 +1029,20 @@ components: getanalyticsinput: type: object properties: - offset: + engine_name: type: string + default: true + description: |+ + Recommendation engine name + example: sentient engine + offset: + type: number default: false description: |+ Default 0. The offset of the record list ie the starting index example: 0 limit: - type: string + type: number default: false description: |+ The max records to return for the request. Default - 5000 From a2bd19446284d82b6f73094ac0bd5b6efbfc6459 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 11 Apr 2022 21:24:17 +0530 Subject: [PATCH 4034/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 321206e69..130ef27d3 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -1886,6 +1886,20 @@ components: - It can be day, week, month, year or range - If you want to get report for the specific period the here is the example -- period=range and date=2022-01-01,2022-02-15 + limit: + type: number + default: false + example: 3 + description: |+ + Optional. By default, only the top 100 rows are returned. + Set to -1 to return all rows. + offset: + type: number + default: false + example: 1 + description: |+ + Optional. By default, only the top 100 rows are returned. + Set to -1 to return all rows. date: type: string default: true From 82cf6684e2503390ffb4f30d6596e022a11c2b65 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 11 Apr 2022 21:27:03 +0530 Subject: [PATCH 4035/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index cc1481d4f..22fa29fdd 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -22,7 +22,7 @@ tags: - name: "v0.1.0" description: "Published Date - Oct 30, 2020" paths: - /microservices/dataanalytics/ruleengine/v0/getresults: + /microservices/analytics/ruleengine/v0/getresults: post: tags: - v0.1.0 @@ -155,6 +155,11 @@ components: description: |+ Default value false.First prompt of getting suggestion value will be true/false example: false + external_id: + type: number + description: |+ + External Identifier + example: false securitySchemes: APIAuthorizer: type: apiKey @@ -162,4 +167,3 @@ components: in: header x-amazon-apigateway-authtype: custom description: Authentication is done using the x-api-key in the request header - From d461c41f76c4c16c0d7a264dd592a782204dd580 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 11 Apr 2022 21:28:46 +0530 Subject: [PATCH 4036/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 22fa29fdd..1f0d2c045 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -156,10 +156,10 @@ components: Default value false.First prompt of getting suggestion value will be true/false example: false external_id: - type: number + type: string description: |+ External Identifier - example: false + example: user2 securitySchemes: APIAuthorizer: type: apiKey From 852bbf737ff612f26031ec85f68f18447576bfb3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 12 Apr 2022 12:11:10 +0530 Subject: [PATCH 4037/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 34 ---------------------------- 1 file changed, 34 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index db00cb1be..63e6c12e1 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -851,23 +851,6 @@ components: bias = 0: Exclude recommended items that match the rest of the Rule bias > 0: Boost recommended items that match the rest of the Rule by the bias value. example: -1 - date_range: - type: object - description: |+ - Optional. Values for the before and after are strings in ISO 8601 format. - properties: - name: - type: string - description: The "name" identifies the property name to match. - example: eventTime - before: - type: string - description: The date range from - example: 2015-09-15T11:28:45.114-07:00 - after: - type: string - description: The date range to - example: 2015-08-15T11:28:45.114-07:00 blacklist_items: type: array example: ["itemId1", "itemId2"] @@ -937,23 +920,6 @@ components: bias = 0: Exclude recommended items that match the rest of the Rule bias > 0: Boost recommended items that match the rest of the Rule by the bias value. example: -1 - date_range: - type: object - description: |+ - Optional. Values for the before and after are strings in ISO 8601 format. - properties: - name: - type: string - description: The "name" identifies the property name to match. - example: eventTime - before: - type: string - description: The date range from - example: 2015-09-15T11:28:45.114-07:00 - after: - type: string - description: The date range to - example: 2015-08-15T11:28:45.114-07:00 blacklist_items: type: array example: ["itemId1", "itemId2"] From 33a0d04e830c70b9375d7d632531470497e2ad56 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 12 Apr 2022 15:26:31 +0530 Subject: [PATCH 4038/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 18 ++++++++++++++---- 1 file changed, 14 insertions(+), 4 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 130ef27d3..e2cdd8f60 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -1087,7 +1087,7 @@ paths: schema: $ref: '#/components/schemas/pagedetailsinput' required: true - /microservices/analytics/ciprofile/v0/getexternalid: + /microservices/analytics/ciprofile/v0/getexternaliddetails: description: |+ This API is used to get external id details post: @@ -1785,17 +1785,27 @@ components: description: Latest Version input: type: object + required: + - idSite properties: + id_site: + type: number + default: true + example: 1 + description: |+ + The ID of the website we're tracking a visit/action for. + - can also specify a list of idSites comma separated, eg. id_site=1,4,5,6 + - if you want to get data for all websites, set id_site=all limit: type: number default: false example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 + description: Optional. The max records to return for the request. Default - 0, Max - 10000 offset: type: number default: false example: 0 - description: The offset of the record list ie the starting index . Default - 0 + description: Optional. The offset of the record list ie the starting index . Default - 0 filter: type: array default: false @@ -1803,7 +1813,7 @@ components: type: object example: [{"match":{"content_ngrams":"solutions"}}] description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + Optional. Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: * match * match_phrase pagedetailsinput: From 4f550b5c07f9020486df9abd6c36fce4ead6a63b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 12 Apr 2022 15:37:36 +0530 Subject: [PATCH 4039/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 63e6c12e1..32f149926 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -798,6 +798,7 @@ components: type: object required: - engine_name + - item properties: engine_name: type: string @@ -810,9 +811,9 @@ components: example: Book1 default: true description: |+ - Optional. It contains the unique item identifier + The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. item_bias: - type: string + type: number example: -1 description: |+ Optional. This tells the recommender to return items similar to this the item specified. @@ -868,6 +869,7 @@ components: type: object required: - engine_name + - user properties: engine_name: type: string @@ -979,6 +981,7 @@ components: The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. properties: type: object + description: You can define your items by providing additional properties properties: pagetitle: type: string @@ -989,7 +992,7 @@ components: event_time: type: string default: true - example: "2022-01-19T21:02:49.228Z" + example: "2022-01-19T21:02:49.228Z" description: |+ The ISO8601 formatted string for the time the event occurred. getanalyticsinput: From b10d78c48d681a2addd547c5d91d1e795614484b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 12 Apr 2022 16:55:26 +0530 Subject: [PATCH 4040/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index e2cdd8f60..0261425d7 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -1906,7 +1906,7 @@ components: offset: type: number default: false - example: 1 + example: 0 description: |+ Optional. By default, only the top 100 rows are returned. Set to -1 to return all rows. From 24c923adc2bf63a24d999e33bc0862d92a39e72f Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 13 Apr 2022 12:31:31 +1000 Subject: [PATCH 4041/5916] corrected spelling errors --- analytics/content_interest_profile.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 0261425d7..8532d5dab 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -4,12 +4,12 @@ info: x-subscribelink: content_interesr_profiling description: |+ This microservice helps profile the content and interest from the web page traffic. Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/Cookie/etc.) based on the history of documents it has accessed over time and the profile of those documents. - Upon subscription, a javascript is send to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required user can also pass in user ID in order to identify the user using the external_id field. - It would address English language texts only. - In addition to the CIP microservices, we are also releasing few analytics overview microservice namely, traffic overview, page overview and external id analytics. +Upon subscription, a javascript is sent to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required, users can also pass in user ID in order to identify the user using the external_id field. +It would address English language texts only. +In addition to the CIP microservices, we are also releasing a few analytics overview microservice namely, traffic overview, page overview and external id analytics. x-additionalinfo : |+ - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/content_interest_profile.yaml + Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/content_interest_profile.yaml Filters are applicable only for Content and Interest Profiling APIs. @@ -57,7 +57,7 @@ info: x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ - Subscription Fee + The API is billed by per request for get profile. + Subscription Fee + The API is billed per request to get a profile. x-notes: |+ Process up to 10,000 records. x-apidetailsdesc: |+ @@ -71,7 +71,7 @@ tags: paths: /microservices/analytics/ciprofile/v0/getinterestprofile: description: |+ - This API is used to get interset profile + This API is used to get interest profile of the unique user to the website. post: tags: - v0.1.0 From 68a551c95b3cb38a68acedf4f36cd5227d7bf79b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Apr 2022 10:57:38 +0530 Subject: [PATCH 4042/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 75 +++++++++++++++++++++++++++- 1 file changed, 74 insertions(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 32f149926..8a3dae0b8 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -100,6 +100,43 @@ paths: schema: $ref: '#/components/schemas/readditeminput' required: true + /microservices/analytics/recommendationengine/v0/deleteitem: + description: |+ + This API is used to delete the event from recommendation engine + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteitemsuccess' + example: + message: Successfully Deleted + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteiteminput' + required: true /microservices/analytics/recommendationengine/v0/deleteevent: description: |+ This API is used to delete the event from recommendation engine @@ -538,6 +575,17 @@ components: type: string description: The status of the API call. example: Success + redeleteitemsuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Deleted + status: + type: string + description: The status of the API call. + example: Success redeleteeventsuccess: type: object properties: @@ -935,7 +983,7 @@ components: example: false description: |+ Optional. Its boolean asking to include the item that was part of the query as part of the results. Defaults to false. - redeleteeventinput: + redeleteiteminput: type: object required: - engine_name @@ -960,6 +1008,31 @@ components: example: "2022-01-19T21:02:49.228Z" description: |+ The ISO8601 formatted string for the time the event occurred. + redeleteeventinput: + type: object + required: + - engine_name + - user + - event_time + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: sentient engine + user: + type: string + default: true + example: User 15 + description: |+ + This is whatever string you use to identify a user. + event_time: + type: string + default: true + example: "2022-01-19T21:02:49.228Z" + description: |+ + The ISO8601 formatted string for the time the event occurred. readditeminput: type: object required: From 6c1800d0624e53e828a4a0a8f1f5ff7bbf0004e6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 12:33:24 +0530 Subject: [PATCH 4043/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 498524a08..828b55239 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -46,7 +46,7 @@ info: x-apidetailsdesc: |+ Provides number of available lots within Singapore's Housing Development Board. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 01, 2022" From cd573baf09d971636c45761a1f0390d2e637b0a8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 12:49:51 +0530 Subject: [PATCH 4044/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index 163e9abc0..3a3103d4d 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -37,7 +37,7 @@ info: x-apidetailsdesc: |+ Provides alerts of traffic lights that are currently faulty. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 01, 2022" From f5204d0534f982cb81ee0d2930d8f0833771f725 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 12:50:02 +0530 Subject: [PATCH 4045/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 7dcd4dfaf..cc993b8a9 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -38,7 +38,7 @@ info: x-apidetailsdesc: |+ Provides tap in and tap out passenger volume by weekdays and weekends for individual bus stop. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 01, 2022" From 2df5de05ec7374a6139945a14e26dc4eacfb8f34 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 12:50:14 +0530 Subject: [PATCH 4046/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index ec9f20e14..67bd5c56d 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -38,7 +38,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 01, 2022" From 9ba40825117f4bc455b7475ff165a4b130f05003 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 12:50:25 +0530 Subject: [PATCH 4047/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index faee52a48..7f81a3219 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -50,7 +50,7 @@ info: x-apidetailsdesc: |+ Provides links to images of live traffic conditions. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 01, 2022" From 9e146880065a27e521ff3ecc8d03219eeb7a60bb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 12:50:37 +0530 Subject: [PATCH 4048/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index 8fa885ac9..f1112d757 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -42,7 +42,7 @@ info: x-apidetailsdesc: |+ Provides real time incidents on the roads. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 01, 2022" From 63881603a045191fe9ee6382bebbe020a7d9cc21 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 12:50:49 +0530 Subject: [PATCH 4049/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index 7ad56b3af..385b49770 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -46,7 +46,7 @@ info: x-apidetailsdesc: |+ Provides current traffic speeds. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 01, 2022" From c6f0a278c7e3919f652c5699bad680fa1f72fed7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 12:51:00 +0530 Subject: [PATCH 4050/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index 24901320b..3e7b0f7a5 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -40,7 +40,7 @@ info: x-apidetailsdesc: |+ Provides traffic advisories. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 01, 2022" From 903ec5a73e8f37252095aba67e028a0ae30b7fdd Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 13 Apr 2022 15:50:27 +0800 Subject: [PATCH 4051/5916] Deployed new version of inversenorm bert --- nlp/inverse_text_normalisation_eng.yaml | 26 +++++++++++++++++++++++-- 1 file changed, 24 insertions(+), 2 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 15364c60e..29f3be965 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 30, 2022" + description: "Published Date - Apr 13, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: @@ -221,7 +221,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 30, 2022 + example: Published Date - Apr 13, 2022 x-details: New Inverse norm using BERT,introducing new parameter “output” in the response json description: New Inverse norm using BERT,introducing new parameter “output” in the response json v1.0.0: @@ -254,6 +254,28 @@ components: example: apple said the project-financing fund was the first of its kind real estate developers often secure bonds for affordable housing development but must service the debt during construction until the houses are built and start to generate revenue apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders description: |+ Input text + + text2digits_normalised: + x-name: text2digits_normalised + type: boolean + default: False + example: false + description: |+ + Convert digits(in words) to digits(in number). Default is False. + datetime_normalised: + x-name: datetime_normalised + type: boolean + default: False + example: falsetrue + description: |+ + Normalize the datetime. Default is False. + threshold: + x-name: threshold + type: integer + default: False + example: 3000 + description: |+ + Set a threshold for text2digits. Only convert number lower than the threshold. Default is 0. securitySchemes: APIAuthorizer: type: apiKey From b60a3663591ad454fba4fd93b5e3b80ed3b402a7 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 13 Apr 2022 16:01:24 +0800 Subject: [PATCH 4052/5916] minor change inversenorm --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 29f3be965..95952eba8 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -266,7 +266,7 @@ components: x-name: datetime_normalised type: boolean default: False - example: falsetrue + example: false description: |+ Normalize the datetime. Default is False. threshold: From b1300a2f807ebb110674e03c3d81858f1028e9e6 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 13 Apr 2022 16:06:09 +0800 Subject: [PATCH 4053/5916] minor change inversenorm --- nlp/inverse_text_normalisation_eng.yaml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 95952eba8..d2745abb4 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -222,8 +222,10 @@ components: oneOf: - type: string example: Published Date - Apr 13, 2022 - x-details: New Inverse norm using BERT,introducing new parameter “output” in the response json - description: New Inverse norm using BERT,introducing new parameter “output” in the response json + x-details: New Inverse norm using BERT,introducing new parameter “output” in the response json, + 3 optional input parameters text2digits_normalised,datetime_normalised and threshold. + description: New Inverse norm using BERT,introducing new parameter “output” in the response json, + 3 optional input parameters text2digits_normalised,datetime_normalised and threshold. v1.0.0: type: array items: From 9350ca21cf81b59ce5033362c8ff340bcb135315 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 13 Apr 2022 16:09:23 +0800 Subject: [PATCH 4054/5916] Thai ner yaml updated --- nlp/named-entity_recognition_thai.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 0293e23c2..6c6b427ba 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -212,7 +212,7 @@ components: x-name: measurement type: array example: [{"entity":30 กิโลเมตร,"start":12,"end":18},{"entity":5 กม.,"start":1,"end":5}] - description: "distance in km found in the text string" + description: "measurement units found in the text string" person: x-name: person type: array @@ -232,7 +232,7 @@ components: x-name: postal_code type: array example: [{"entity":10400,"start":15,"end":20}] - description: "zipcode found in the text string" + description: "postalcode found in the text string" message: type: string @@ -332,7 +332,7 @@ components: oneOf: - type: string example: Published Date - Mar 23, 2022 - x-details: Updated version release v2.0, entity positions returned + x-details: Standardized all output parameters, added return entity positions description: Latest Version v1.0.0: type: array From b262211440bdfbc91cb16a37daae78b40ae37ffb Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 13 Apr 2022 16:12:17 +0800 Subject: [PATCH 4055/5916] change log added for thai ner --- nlp/named-entity_recognition_thai.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 6c6b427ba..379f6e655 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -333,7 +333,7 @@ components: - type: string example: Published Date - Mar 23, 2022 x-details: Standardized all output parameters, added return entity positions - description: Latest Version + description: Standardized all output parameters, added return entity positions v1.0.0: type: array items: From d059626db8588b4902b21b9fc39a21d391c1b528 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Apr 2022 13:57:47 +0530 Subject: [PATCH 4056/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 38 ++++++++++++------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 8532d5dab..30867fc13 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -4,9 +4,9 @@ info: x-subscribelink: content_interesr_profiling description: |+ This microservice helps profile the content and interest from the web page traffic. Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/Cookie/etc.) based on the history of documents it has accessed over time and the profile of those documents. -Upon subscription, a javascript is sent to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required, users can also pass in user ID in order to identify the user using the external_id field. -It would address English language texts only. -In addition to the CIP microservices, we are also releasing a few analytics overview microservice namely, traffic overview, page overview and external id analytics. + Upon subscription, a javascript is sent to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required, users can also pass in user ID in order to identify the user using the external_id field. + It would address English language texts only. + In addition to the CIP microservices, we are also releasing a few analytics overview microservice namely, traffic overview, page overview and external id analytics. x-additionalinfo : |+ Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/content_interest_profile.yaml @@ -1786,16 +1786,16 @@ components: input: type: object required: - - idSite + - site_id properties: - id_site: + site_id: type: number default: true example: 1 description: |+ The ID of the website we're tracking a visit/action for. - - can also specify a list of idSites comma separated, eg. id_site=1,4,5,6 - - if you want to get data for all websites, set id_site=all + - can also specify a list of idSites comma separated, eg. site_id=1,4,5,6 + - if you want to get data for all websites, set site_id=all limit: type: number default: false @@ -1819,18 +1819,18 @@ components: pagedetailsinput: type: object required: - - idSite + - site_id - period - date properties: - id_site: + site_id: type: number default: true example: 1 description: |+ The ID of the website we're tracking a visit/action for. - - can also specify a list of idSites comma separated, eg. id_site=1,4,5,6 - - if you want to get data for all websites, set id_site=all + - can also specify a list of idSites comma separated, eg. site_id=1,4,5,6 + - if you want to get data for all websites, set site_id=all period: type: string default: true @@ -1875,18 +1875,18 @@ components: customdimensioninput: type: object required: - - idSite + - site_id - period - date properties: - id_site: + site_id: type: number default: true example: 1 description: |+ The ID of the website we're tracking a visit/action for. - - can also specify a list of idSites comma separated, eg. id_site=1,4,5,6 - - if you want to get data for all websites, set id_site=all + - can also specify a list of idSites comma separated, eg. site_id=1,4,5,6 + - if you want to get data for all websites, set site_id=all period: type: string default: true @@ -1925,18 +1925,18 @@ components: visitdetailsinput: type: object required: - - idSite + - site_id - period - date properties: - id_site: + site_id: type: number default: true example: 1 description: |+ The ID of the website we're tracking a visit/action for. - - can also specify a list of idSites comma separated, eg. id_site=1,4,5,6 - - if you want to get data for all websites, set id_site=all + - can also specify a list of idSites comma separated, eg. site_id=1,4,5,6 + - if you want to get data for all websites, set site_id=all period: type: string default: true From 824529d12135007644abe256d8cec76ceb65df2d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:03:14 +0530 Subject: [PATCH 4057/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 828b55239..432aca36a 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -31,7 +31,7 @@ info: **Last Updated Data in Time Limit:** > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-26T17:00:00","lte": "2021-11-26T18:00:00"}}}]} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -48,13 +48,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" +- name: "v0.1.1" + description: "Published Date - Apr 13, 2022" paths: /microservices/data/ltacarparkhistorical/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -413,6 +413,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 13, 2022 + x-details: Default limit changed + description: Latest Version v0.1.0: type: array items: @@ -420,7 +428,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: From b4b8063cbf129def3e23f8194b0e1010b197aa06 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:08:30 +0530 Subject: [PATCH 4058/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 432aca36a..2d44c1f9e 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -436,7 +436,9 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 + description:|+ + The max records to return for the request. Default - 10, Max - 10000. + If aggregation is enabled we can set limit Default - 0, Max - 10000. offset: type: number default: false From edd8261d3768e48e254c72d811406aeae44804e3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:10:23 +0530 Subject: [PATCH 4059/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 2d44c1f9e..ea5fe4bd8 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -436,7 +436,7 @@ components: type: number default: false example: 10 - description:|+ + description: |+ The max records to return for the request. Default - 10, Max - 10000. If aggregation is enabled we can set limit Default - 0, Max - 10000. offset: From 882e30ec57d269243dfc867e3c28c8920f35b852 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:15:05 +0530 Subject: [PATCH 4060/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index ea5fe4bd8..5534bb2cd 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -437,8 +437,8 @@ components: default: false example: 10 description: |+ - The max records to return for the request. Default - 10, Max - 10000. - If aggregation is enabled we can set limit Default - 0, Max - 10000. + The max records to return for the request. Default - 10, Max - 10000. + If aggregation is enabled we can set limit Default - 0, Max - 10000. offset: type: number default: false From efe80ad7abcf32bdca7b66aa1e2fd15c5d28a520 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:18:56 +0530 Subject: [PATCH 4061/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index 3a3103d4d..eddf9c546 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -22,7 +22,7 @@ info: > {"bool":{"must_not":[{"match":{"alarmid":"GL703034136"}}]}} > {"bool":{"must":[{"match":{"alarmid":"GL703034136"}}]}} > {"bool":{"should":[{"match":{"alarmid":"GL703034136"}},{"match":{"alarmid":"GL743034172"}}]}} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -39,13 +39,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" +- name: "v0.1.1" + description: "Published Date - Apr 13, 2022" paths: /microservices/data/ltafaultytrafficlights/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -306,6 +306,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 13, 2022 + x-details: Default limit changed + description: Latest Version v0.1.0: type: array items: @@ -321,7 +329,7 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 + description: The max records to return for the request. Default - 10, Max - 10000 offset: type: number default: false From 0c30e643dd7e99d40767eb79cdc953255c1aee19 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:20:21 +0530 Subject: [PATCH 4062/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index cc993b8a9..26903881e 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -23,7 +23,7 @@ info: > {"bool":{"must_not":[{"match":{"day_type":"WEEKDAY"}}]}} > {"bool":{"must":[{"match":{"day_type":"WEEKDAY"}}]}} > {"bool":{"should":[{"match":{"day_type":"WEEKDAY"}}]}} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -40,13 +40,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" +- name: "v0.1.1" + description: "Published Date - Apr 13, 2022" paths: /microservices/data/ltapvbus/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -315,6 +315,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 13, 2022 + x-details: Default limit changed + description: Latest Version v0.1.0: type: array items: @@ -330,7 +338,7 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 + description: The max records to return for the request. Default - 10, Max - 10000 offset: type: number default: false From 8f90159851a4fab69c18b54cf5de3735cfb2bad4 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 13 Apr 2022 17:51:18 +0800 Subject: [PATCH 4063/5916] face recognition yaml updated with endpoint for ntu demo --- computer_vision/face_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index b6a5d4b43..8e1e49296 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -77,7 +77,7 @@ info: x-apidetailsdesc: |+ Recognises faces of Singaporean and Japanese public figures. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.1" description: "Published Date - Jan 11, 2021" From 28be11ba40a512db6f369dd81bd1343331cec574 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:22:47 +0530 Subject: [PATCH 4064/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index 67bd5c56d..0059a4b0b 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -23,7 +23,7 @@ info: > {"bool":{"must":[{"match":{"road_name":"arthur"}}]}} > {"bool":{"should":[{"match":{"road_name":"arthur"}}]}} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -40,13 +40,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" +- name: "v0.1.1" + description: "Published Date - Apr 13, 2022" paths: /microservices/data/ltaroadworks/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -311,6 +311,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 13, 2022 + x-details: Default limit changed + description: Latest Version v0.1.0: type: array items: @@ -326,7 +334,7 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 + description: The max records to return for the request. Default - 10, Max - 10000 offset: type: number default: false From 39aeba2130a8bff3f5e4c0d308a786b978a696a7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:24:39 +0530 Subject: [PATCH 4065/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 22 ++++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 7f81a3219..84dc644f6 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -35,7 +35,7 @@ info: Traffic images are stored in GCS location. To access the image need to generate the presigned URL. **End Point** - https://apis.sentient.io/microservices/data/ltapresignedurl/v0/getdata **Input Example** - {"image_link": "gs://lta_data_prod/trafficimages/1501_20211022_194451.jpg"} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -52,13 +52,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" +- name: "v0.1.1" + description: "Published Date - Apr 13, 2022" paths: /microservices/data/ltatrafficimagesv2/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -316,6 +316,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 13, 2022 + x-details: Default limit changed + description: Latest Version v0.1.0: type: array items: @@ -323,7 +331,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: @@ -331,7 +339,9 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 + description: |+ + The max records to return for the request. Default - 10, Max - 10000. + If aggregation is enabled we can set limit Default - 0, Max - 10000. offset: type: number default: false From 05ff559316eb43d669d4bbe84b2797a6042a8780 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:29:28 +0530 Subject: [PATCH 4066/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 22 ++++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index f1112d757..c12a184e4 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -27,7 +27,7 @@ info: **Aggregations Request Data:** > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"type":"Roadwork"}}]} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -44,13 +44,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" +- name: "v0.1.1" + description: "Published Date - Apr 13, 2022" paths: /microservices/data/ltatrafficincidents/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -360,6 +360,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 13, 2022 + x-details: Default limit changed + description: Latest Version v0.1.0: type: array items: @@ -367,7 +375,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: @@ -375,7 +383,9 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 + description: |+ + The max records to return for the request. Default - 10, Max - 10000. + If aggregation is enabled we can set limit Default - 0, Max - 10000. offset: type: number default: false From 1c34ac188378015f1a984a199da920131ec5ee14 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 13 Apr 2022 18:00:37 +0800 Subject: [PATCH 4067/5916] face recognition yaml updated with model parameter for ntu demo --- computer_vision/face_recognition.yaml | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index 8e1e49296..c041c2d07 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -324,7 +324,6 @@ components: input: type: object required: - - model - image_base64 properties: image_base64: @@ -334,6 +333,13 @@ components: example: UklGRkbiBABXQVZFZm10IBAAAAABA... description: |+ Input image file in base64 format. + model: + x-name: model + type: string + default: false + example: ntu + description: |+ + Name of model. file_type: x-name: file_type type: string From 619eb1d1e16b9acfa275bb09ebb267989e23bf84 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:31:07 +0530 Subject: [PATCH 4068/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 22 ++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index 385b49770..6bb467e45 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -31,7 +31,7 @@ info: **Last Updated Data in Time Limit:** > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-28T01:00:00","lte": "2021-11-28T18:00:00"}}}]} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -48,13 +48,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" +- name: "v0.1.1" + description: "Published Date - Apr 13, 2022" paths: /microservices/data/ltaspeedbandhistorical/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -436,6 +436,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 13, 2022 + x-details: Default limit changed + description: Latest Version v0.1.0: type: array items: @@ -443,7 +451,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: @@ -451,7 +459,9 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 + description: |+ + The max records to return for the request. Default - 10, Max - 10000. + If aggregation is enabled we can set limit Default - 0, Max - 10000. offset: type: number default: false From e96dfcbf6fa507e8aad77494f1f26155890c0afc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:32:03 +0530 Subject: [PATCH 4069/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index 3e7b0f7a5..c7be6f4c4 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -25,7 +25,7 @@ info: > {"bool":{"must":[{"message":"HEAVY VEHICLES"}}]}} > {"bool":{"should":[{"message":"HEAVY VEHICLES"}}]}} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -42,13 +42,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.1.1" description: "Published Date - Feb 01, 2022" paths: /microservices/data/ltavms/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -305,6 +305,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 13, 2022 + x-details: Default limit changed + description: Latest Version v0.1.0: type: array items: @@ -312,7 +320,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: @@ -320,7 +328,7 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 0, Max - 10000 + description: The max records to return for the request. Default - 10, Max - 10000 offset: type: number default: false From 74e57862a96e3cd02d6ce4d248052c5f4316c748 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:33:13 +0530 Subject: [PATCH 4070/5916] Update index.yaml --- index.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/index.yaml b/index.yaml index 7c25442ee..545eaff1f 100644 --- a/index.yaml +++ b/index.yaml @@ -403,35 +403,35 @@ data: lta_road_works: title: LTA Road Works versions: - 0.1.0: 'lta_road_works.yaml' + 0.1.1: 'lta_road_works.yaml' lta_car_park_availability_historical: title: LTA Carpark Availability Historical versions: - 0.1.0: 'lta_car_park_availability_historical.yaml' + 0.1.1: 'lta_car_park_availability_historical.yaml' lta_traffic_images: title: LTA Traffic Images versions: - 0.1.0: 'lta_traffic_images.yaml' + 0.1.1: 'lta_traffic_images.yaml' lta_traffic_incidents: title: LTA Traffic Incidents versions: - 0.1.0: 'lta_traffic_incidents.yaml' + 0.1.1: 'lta_traffic_incidents.yaml' lta_traffic_speed_bands_historical: title: LTA Traffic Speed Bands Historical versions: - 0.1.0: 'lta_traffic_speed_bands_historical.yaml' + 0.1.1: 'lta_traffic_speed_bands_historical.yaml' lta_vms: title: LTA VMS versions: - 0.1.0: 'lta_vms.yaml' + 0.1.1: 'lta_vms.yaml' lta_faulty_traffic_lights: title: LTA Faulty Traffic Lights versions: - 0.1.0: 'lta_faulty_traffic_lights.yaml' + 0.1.1: 'lta_faulty_traffic_lights.yaml' lta_pv_bus: title: LTA Passenger Volume by Bus Stops versions: - 0.1.0: 'lta_pv_bus.yaml' + 0.1.1: 'lta_pv_bus.yaml' realtime_weather: title: Realtime Weather versions: From b5711f42f8fd4452a709cd8280ab48315bf7211c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:34:02 +0530 Subject: [PATCH 4071/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index eddf9c546..bc163261c 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -321,7 +321,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: From 0c5c1745e0ae26d197bf92bb35a63c1f47c0e566 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:34:17 +0530 Subject: [PATCH 4072/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 26903881e..9d9dd0df7 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -330,7 +330,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: From ae918528327169be6a48cd9a2725e29a6be0e92e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Apr 2022 15:34:37 +0530 Subject: [PATCH 4073/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index 0059a4b0b..d69b369fb 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -326,7 +326,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object properties: From 038969cb2e0c4dc5013ddbec05c78439dc18af24 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 13 Apr 2022 19:15:40 +0800 Subject: [PATCH 4074/5916] masked face recognition yaml updated url with ntu demo --- computer_vision/masked_face_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/masked_face_recognition.yaml b/computer_vision/masked_face_recognition.yaml index 8160cdc16..0516f064e 100644 --- a/computer_vision/masked_face_recognition.yaml +++ b/computer_vision/masked_face_recognition.yaml @@ -66,7 +66,7 @@ info: x-apidetailsdesc: |+ Recognise faces of identities behind a mask. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 08, 2022" From a4e2f84e2ce007bbce8a0f7bfa9445a239e5d8f2 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 18 Apr 2022 12:24:19 +1000 Subject: [PATCH 4075/5916] updated the desc --- analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 1f0d2c045..50f5951d5 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Rule Engine description: |+ - It is an expert-system program, which runs the rules on the data and if any condition matches then it executes the corresponding actions. The inference engine is the component of the intelligent system in artificial intelligence, which applies logical rules to the knowledge base to infer new information from known facts. Inference-Engine’s program works in three phases to execute the rule on given data: Match, Resolve and Execute. + This Analytics microservice provides a system which runs a set of rules or condition in a runtime production environment. Such rules are used to process data and if any condition matches then it executes the corresponding actions. version: '0.1.0' x-subscribelink: rule_engine x-apitype: Subscription From 0d251a7873225e9d57ce7239f288176765ac579a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 18 Apr 2022 16:17:28 +1000 Subject: [PATCH 4076/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 50f5951d5..c468778a6 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -2,7 +2,9 @@ openapi: 3.0.1 info: title: Rule Engine description: |+ - This Analytics microservice provides a system which runs a set of rules or condition in a runtime production environment. Such rules are used to process data and if any condition matches then it executes the corresponding actions. + This Analytics microservice is part of a business rule management system which executes a set of rules or condition in a runtime production environment. Such rules are used to process data and if any condition matches then it executes the corresponding actions. + +This microservice only provides the inference (processing objects based on predefined rules), while the creation of the projects and objects and definition of rules is handled by a separate user-interface. version: '0.1.0' x-subscribelink: rule_engine x-apitype: Subscription From ce33a89e401d6c793e28b319439899a2d44f643c Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 18 Apr 2022 16:17:49 +1000 Subject: [PATCH 4077/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index c468778a6..d734f975e 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -3,8 +3,7 @@ info: title: Rule Engine description: |+ This Analytics microservice is part of a business rule management system which executes a set of rules or condition in a runtime production environment. Such rules are used to process data and if any condition matches then it executes the corresponding actions. - -This microservice only provides the inference (processing objects based on predefined rules), while the creation of the projects and objects and definition of rules is handled by a separate user-interface. + This microservice only provides the inference (processing objects based on predefined rules), while the creation of the projects and objects and definition of rules is handled by a separate user-interface. version: '0.1.0' x-subscribelink: rule_engine x-apitype: Subscription From 0458baa8db09d0d3aed2e25feb75f6d7b42ce2c9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 19 Apr 2022 16:49:52 +0530 Subject: [PATCH 4078/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index d2745abb4..107c4c18a 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Apr 13, 2022" From 7dc74dce2d6b78bfd505cea87152eb4c209fa0b0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 19 Apr 2022 17:39:22 +0530 Subject: [PATCH 4079/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 107c4c18a..d2745abb4 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Apr 13, 2022" From 6e88658bb58994c4b251e7aadfef6d2cde0ae1ae Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 20 Apr 2022 14:23:31 +0530 Subject: [PATCH 4080/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index e7756127f..4609b329e 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -324,10 +324,10 @@ info: x-apidetailsdesc: |+ Converts text to speech in a different voices. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Mar 22, 2022" + description: "Published Date - Apr 20, 2022" paths: /microservices/voice/atts/v0/getpredictions: post: @@ -520,7 +520,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Mar 22,2022' + example: 'Published Date - Apr 20,2022' x-details: Initial version release description: Latest Version input: From 1ab223cb5bda9ce5871cd05efa8ffc6e8ad81a53 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 20 Apr 2022 15:02:13 +0530 Subject: [PATCH 4081/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 4609b329e..73670a6f1 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -312,15 +312,15 @@ info: x-subscribelink: azure_tts x-apitype: small file x-apitypedescription: |+ - Fast | Single-Call | 400 characters/Call + Fast | Single-Call | 60000 characters/Call x-inputfilelimit: |+ - Process up to 400 characters of data per API call. + Process up to 60000 characters of data per API call. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 400 characters. + Limit cannot exceed 60000 characters. x-apidetailsdesc: |+ Converts text to speech in a different voices. servers: From 20b9f5dca2fe5a65cd8d4a4f2cea16b4ece59739 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 20 Apr 2022 15:13:00 +0530 Subject: [PATCH 4082/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 545eaff1f..46d4ec3ac 100644 --- a/index.yaml +++ b/index.yaml @@ -69,7 +69,7 @@ voice: asr_with_voice_activity_detection_eng: title: ASR with Voice Activity Detection ENG versions: - 1.2.2: 'asr_with_voice_activity_detection_eng.yaml' + 1.2.1: 'asr_with_voice_activity_detection_eng.yaml' 0.1.0: 'asr_with_voice_activity_detection_eng_v0.1.yaml' asr_with_voice_activity_detection_eng_large_file: title: ASR with Voice Activity Detection ENG (Large File) From bf1c17c98370890ba88d019e97274f82a50af9d0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 20 Apr 2022 15:39:43 +0530 Subject: [PATCH 4083/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 16 ++++++++++------ 1 file changed, 10 insertions(+), 6 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 8a3dae0b8..448744ce9 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -316,7 +316,7 @@ paths: schema: $ref: '#/components/schemas/rebulkuploadeventsuccess' example: - message: Partially Added + message: Successfully Added status: Success error_rows: [] '419': @@ -354,7 +354,7 @@ paths: schema: $ref: '#/components/schemas/rebulkuploaditemsuccess' example: - message: Partially Added + message: Successfully Added status: Success error_rows: [] '419': @@ -603,7 +603,7 @@ components: message: type: string description: The message of the API call. - example: Partially Added + example: Successfully Added status: type: string description: The status of the API call. @@ -618,7 +618,7 @@ components: message: type: string description: The message of the API call. - example: Partially Added + example: Successfully Added status: type: string description: The status of the API call. @@ -779,7 +779,9 @@ components: format: binary default: true example: sample.csv - description: Maximum file size up to 10 MB. + description: |+ + Maximum file size up to 10 MB. + csv file format should contains the specified column name - user, item and event_time engine_name: type: string default: true @@ -804,7 +806,9 @@ components: format: binary default: true example: sample.wav - description: Maximum file size up to 10 MB. + description: |+ + Maximum file size up to 10 MB. + csv file format should contains the specified column name - Properties of the field name,and event_time engine_name: type: string default: true From cf21de0ba520a76c40488547463182b6b0a54e1d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 20 Apr 2022 17:23:26 +0530 Subject: [PATCH 4084/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index d734f975e..1ad83de88 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -21,7 +21,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Oct 30, 2020" + description: "Published Date - Apr 20, 2022" paths: /microservices/analytics/ruleengine/v0/getresults: post: From bccdda8594b98989463dae6b0f557228fe492419 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 20 Apr 2022 17:24:03 +0530 Subject: [PATCH 4085/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 448744ce9..009bf93ed 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -24,7 +24,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Oct 30, 2020" + description: "Published Date - Apr 20, 2022" paths: /microservices/analytics/recommendationengine/v0/addevent: description: |+ From 7a2d2c322b8ac477cd31cd85b94980aa67e66539 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 20 Apr 2022 17:24:20 +0530 Subject: [PATCH 4086/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 30867fc13..2423bc194 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -67,7 +67,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Apr 01, 2022" + description: "Published Date - Apr 20, 2022" paths: /microservices/analytics/ciprofile/v0/getinterestprofile: description: |+ From a022f8b110854c0b2c87356e17af828c23c835bc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 21 Apr 2022 15:48:14 +0530 Subject: [PATCH 4087/5916] Update named-entity_recognition_thai.yaml --- nlp/named-entity_recognition_thai.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 379f6e655..20d6373fa 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -32,10 +32,10 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured Thai text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 23, 2022" + description: "Published Date - Apr 21, 2022" paths: /microservices/nlp/thainer/v2/getpredictions: post: @@ -331,7 +331,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 23, 2022 + example: Published Date - Apr 21, 2022 x-details: Standardized all output parameters, added return entity positions description: Standardized all output parameters, added return entity positions v1.0.0: From 3e4639a25abddef7cc06f98532fc9646a3015a82 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 21 Apr 2022 16:34:44 +0530 Subject: [PATCH 4088/5916] Update named-entity_recognition_thai_v1.0.yaml --- nlp/named-entity_recognition_thai_v1.0.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_thai_v1.0.yaml b/nlp/named-entity_recognition_thai_v1.0.yaml index d530989e0..e42cfd915 100644 --- a/nlp/named-entity_recognition_thai_v1.0.yaml +++ b/nlp/named-entity_recognition_thai_v1.0.yaml @@ -307,6 +307,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 21, 2022 + x-details: Standardized all output parameters, added return entity positions + description: Standardized all output parameters, added return entity positions v1.0.0: type: array items: @@ -314,7 +322,7 @@ components: - type: string example: Published Date - Sep 30, 2020 x-details: Updated version release v1.0 - description: Latest Version + description: Version 1 release v0.1.0: type: array items: From 9abfe9f7302523dc55a80d41befc4ffc7a6c5946 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 22 Apr 2022 13:26:00 +0800 Subject: [PATCH 4089/5916] thumbnail generation doc submitted --- computer_vision/thumbnail_generation.yaml | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index fa16836f5..cb87b68be 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -22,10 +22,10 @@ info: x-apidetailsdesc: |+ Thumbnail Generation servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Apr 06, 2022" + description: "Published Date - Apr 22, 2022" paths: /microservices/cv/thumbnailgeneration/v0/getpredictions: post: @@ -242,6 +242,13 @@ components: example: 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 description: |+ Video content in base64 format. + output_type: + x-name: output_type + type: string + default: False + example: jpeg + description: |+ + Type of output file to be returned. Eg:gif, jpeg. Default value is jpeg. output_thumbnails: x-name: output_thumbnails type: number From f16332342943add33282f68d23a414990e1faa6c Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 22 Apr 2022 13:32:32 +0800 Subject: [PATCH 4090/5916] thumbnail generation doc with version added --- computer_vision/thumbnail_generation.yaml | 12 ++++++++++-- index.yaml | 2 +- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index cb87b68be..549d88ebc 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -24,13 +24,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" +- name: "v0.2.1" description: "Published Date - Apr 22, 2022" paths: /microservices/cv/thumbnailgeneration/v0/getpredictions: post: tags: - - v0.1.1 + - v0.2.1 responses: '200': description: success response @@ -212,6 +212,14 @@ components: versions: type: object properties: + v0.2.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 22, 2022 + x-details: Latest Version + description: Support for gif. New input parameter added. v0.1.1: type: array items: diff --git a/index.yaml b/index.yaml index 46d4ec3ac..4fd076692 100644 --- a/index.yaml +++ b/index.yaml @@ -240,7 +240,7 @@ computer vision: thumbnail_generation: title: Thumbnail Generation versions: - 0.1.1: 'thumbnail_generation.yaml' + 0.2.1: 'thumbnail_generation.yaml' invoice_scanner: title: Invoice Scanner versions: From 0e7b75d32dfb4e574253ea15001696ce0696d295 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 25 Apr 2022 13:03:23 +0530 Subject: [PATCH 4091/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 009bf93ed..2b13af204 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -898,7 +898,7 @@ components: description: The "values" provide a list of values that the properties of the recommended items are matched against. example: ["series", "mini-series"] bias: - type: string + type: number description: |+ bias = -1: Include recommended items that match the rest of the Rule bias = 0: Exclude recommended items that match the rest of the Rule @@ -968,7 +968,7 @@ components: description: The "values" provide a list of values that the properties of the recommended items are matched against. example: ["series", "mini-series"] bias: - type: string + type: number description: |+ bias = -1: Include recommended items that match the rest of the Rule bias = 0: Exclude recommended items that match the rest of the Rule From 7b62078fe62569e3dd95095d1db496b68209f6d7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 25 Apr 2022 13:59:27 +0530 Subject: [PATCH 4092/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 2423bc194..a551205a6 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -64,7 +64,7 @@ info: Upon subscription, a javascript is send to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required user can also pass in user ID in order to identify the user using the external_id field. It would address English language texts only. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Apr 20, 2022" From 23bd604209beaa20bd3bb37a8d65091d6a2f3433 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 28 Apr 2022 17:10:06 +0530 Subject: [PATCH 4093/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 128 +++++++++++++++++++++++++++ 1 file changed, 128 insertions(+) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 2b13af204..e29babf91 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -26,6 +26,43 @@ tags: - name: "v0.1.0" description: "Published Date - Apr 20, 2022" paths: + /microservices/analytics/recommendationengine/v0/addengine: + description: |+ + This API is used to add the event to recommendation engine + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/readdenginesuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/readdengineinput' + required: true /microservices/analytics/recommendationengine/v0/addevent: description: |+ This API is used to add the event to recommendation engine @@ -100,6 +137,43 @@ paths: schema: $ref: '#/components/schemas/readditeminput' required: true + /microservices/analytics/recommendationengine/v0/deleteengine: + description: |+ + This API is used to add the event to recommendation engine + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteenginesuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/redeleteengineinput' + required: true /microservices/analytics/recommendationengine/v0/deleteitem: description: |+ This API is used to delete the event from recommendation engine @@ -456,6 +530,28 @@ paths: required: true components: schemas: + readdenginesuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Engine Created Successfully + status: + type: string + description: The status of the API call. + example: Success + redeleteenginesuccess: + type: object + properties: + message: + type: string + description: The message of the API call. + example: Successfully Created + status: + type: string + description: The status of the API call. + example: Success getanalyticssuccess: type: object properties: @@ -1093,6 +1189,38 @@ components: description: |+ The max records to return for the request. Default - 5000 example: 10 + redeleteengineinput: + type: object + required: + - engine_name + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: sentient engine + readdengineinput: + type: object + required: + - engine_name + - indicators + properties: + engine_name: + type: string + default: true + description: |+ + Recommendation engine name + example: sentient engine + indicators: + type: array + default: true + description: |+ + Recommendation engine name + example: ["pagename","pagename1"] + items: + oneOf: + - type: object readdeventinput: type: object required: From f95aa814df6224fe336928908ceb2d790dbc97fb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:06:27 +0530 Subject: [PATCH 4094/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 5534bb2cd..5abb4a1b2 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -439,11 +439,14 @@ components: description: |+ The max records to return for the request. Default - 10, Max - 10000. If aggregation is enabled we can set limit Default - 0, Max - 10000. + Negative values or non numeric values should return Default 10 values. offset: type: number default: false example: 0 - description: The offset of the record list ie the starting index + description: |+ + The offset of the record list ie the starting index + Negative values or non numeric values should return Default 10 values. aggregation: type: boolean default: false From e56807e87d8f6787675ba7b59eeede37c916317c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:10:23 +0530 Subject: [PATCH 4095/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 5abb4a1b2..d9d2c43cc 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -445,8 +445,8 @@ components: default: false example: 0 description: |+ - The offset of the record list ie the starting index - Negative values or non numeric values should return Default 10 values. + The offset of the record list ie the starting index + Negative values or non numeric values should return Default 10 values. aggregation: type: boolean default: false From e85b751c2194ed2d76331c02dde379d5196a9e4e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:16:10 +0530 Subject: [PATCH 4096/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index d9d2c43cc..ee3b7dc02 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -439,14 +439,14 @@ components: description: |+ The max records to return for the request. Default - 10, Max - 10000. If aggregation is enabled we can set limit Default - 0, Max - 10000. - Negative values or non numeric values should return Default 10 values. + Negative values or non numeric values should return Default 10 results. offset: type: number default: false example: 0 description: |+ - The offset of the record list ie the starting index - Negative values or non numeric values should return Default 10 values. + The offset of the record list ie the starting index. + Negative values or non numeric values should return Default 10 results. aggregation: type: boolean default: false From 9828c60d26996b9212bb89d9fc6239e8a6e7c57f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:17:31 +0530 Subject: [PATCH 4097/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index bc163261c..25571a5ec 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -329,12 +329,16 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 + description: |+ + The max records to return for the request. Default - 10, Max - 10000. + Negative values or non numeric values should return Default 10 results. offset: type: number default: false example: 0 - description: The offset of the record list ie the starting index + description: |+ + The offset of the record list ie the starting index. + Negative values or non numeric values should return Default 10 results. filter: type: array default: false From be82a5a526b2a69f5e0629562be217a42310c0c4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:19:17 +0530 Subject: [PATCH 4098/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 9d9dd0df7..869dd0d32 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -338,12 +338,16 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 + description: |+ + The max records to return for the request. Default - 10, Max - 10000. + Negative values or non numeric values should return Default 10 results. offset: type: number default: false example: 0 - description: The offset of the record list ie the starting index + description: |+ + The offset of the record list ie the starting index. + Negative values or non numeric values should return Default 10 results. filter: type: array default: false From 9a21a62542f097fb8c6ce6dcdb6b322fabc7aceb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:20:31 +0530 Subject: [PATCH 4099/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index d69b369fb..0e84f5a58 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -334,12 +334,16 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 + description: |+ + The max records to return for the request. Default - 10, Max - 10000. + Negative values or non numeric values should return Default 10 results. offset: type: number default: false example: 0 - description: The offset of the record list ie the starting index . Default - 0 + description: |+ + The offset of the record list ie the starting index . Default - 0. + Negative values or non numeric values should return Default 10 results. filter: type: array default: false From 25647cc6d060e5dafc3e615e8ca64085a098d784 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:21:28 +0530 Subject: [PATCH 4100/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 84dc644f6..fef16f975 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -342,11 +342,14 @@ components: description: |+ The max records to return for the request. Default - 10, Max - 10000. If aggregation is enabled we can set limit Default - 0, Max - 10000. + Negative values or non numeric values should return Default 10 results. offset: type: number default: false example: 0 - description: The offset of the record list ie the starting index + description: |+ + The offset of the record list ie the starting index. + Negative values or non numeric values should return Default 10 results. aggregation: type: boolean default: false From 67e895900e581b9ab5e4b551225c43301b7fb955 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:22:20 +0530 Subject: [PATCH 4101/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index c12a184e4..b16739e92 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -386,11 +386,14 @@ components: description: |+ The max records to return for the request. Default - 10, Max - 10000. If aggregation is enabled we can set limit Default - 0, Max - 10000. + Negative values or non numeric values should return Default 10 results. offset: type: number default: false example: 0 - description: The offset of the record list ie the starting index + description: |+ + The offset of the record list ie the starting index. + Negative values or non numeric values should return Default 10 results. aggregation: type: boolean default: false From 410b221562faff17e3f83cbd329a5326bd1169a8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:23:02 +0530 Subject: [PATCH 4102/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index 6bb467e45..78ac87934 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -462,11 +462,14 @@ components: description: |+ The max records to return for the request. Default - 10, Max - 10000. If aggregation is enabled we can set limit Default - 0, Max - 10000. + Negative values or non numeric values should return Default 10 results. offset: type: number default: false example: 0 - description: The offset of the record list ie the starting index + description: |+ + The offset of the record list ie the starting index. + Negative values or non numeric values should return Default 10 results. aggregation: type: boolean default: false From a877b98280c070a9db10cc78f8d66859f872f7d9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 15:23:52 +0530 Subject: [PATCH 4103/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index c7be6f4c4..738ccab9d 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -328,12 +328,16 @@ components: type: number default: false example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 + description: |+ + The max records to return for the request. Default - 10, Max - 10000. + Negative values or non numeric values should return Default 10 results. offset: type: number default: false example: 0 - description: The offset of the record list ie the starting index + description: |+ + The offset of the record list ie the starting index. + Negative values or non numeric values should return Default 10 results. filter: type: array default: false From 583f338c279f01daf83b1a0cf9f3672be9c29a41 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 16:57:19 +0530 Subject: [PATCH 4104/5916] Rename json-csv_convertor.yaml to json-csv_convertor1.yaml --- utility/{json-csv_convertor.yaml => json-csv_convertor1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{json-csv_convertor.yaml => json-csv_convertor1.yaml} (100%) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor1.yaml similarity index 100% rename from utility/json-csv_convertor.yaml rename to utility/json-csv_convertor1.yaml From 17ae0d9131cef268413b91c56e54b3ccd87fb6ec Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 16:57:31 +0530 Subject: [PATCH 4105/5916] Create json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 254 ++++++++++++++++++++++++++++++++ 1 file changed, 254 insertions(+) create mode 100644 utility/json-csv_convertor.yaml diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml new file mode 100644 index 000000000..3945be745 --- /dev/null +++ b/utility/json-csv_convertor.yaml @@ -0,0 +1,254 @@ +openapi: 3.0.1 +info: + title: JSON-CSV Convertor + description: |+ + This Utility microservice converts the input JSON file to CSV file. It will convert nested json upto key and value should be in dictionary format. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of JSON into CSV spreadsheets like Google Sheets or Excel to analyze data without programming. + version: '2.0.0' + x-subscribelink: json-csv_convertor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts Json file to CVS file. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - May 02, 2022" +paths: + /microservices/utility/jsontocsv/v2/getresults: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + url: https://storage.googleapis.com/json_csv_stroage/data_file.csv?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20200514%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200514T062642Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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" + status: Success + message: Successfully Converted and stored in Google Cloud Storage + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' +components: + schemas: + success: + type: object + properties: + results: + type: object + example: [{key:value}] + description: list of json objects + properties: + url: + type: string + description: Pre-signed URL to download the csvfile + example: https://storage.googleapis.com/json_csv_stroage/data_file.csv?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20200514%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200514T062642Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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" + status: + type: string + example: Success + description: The status of the API call success/failure + message: + type: string + example: Successfully Converted and stored in Google Cloud Storage + description: Detail description on the API status + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + example: sample.json + default: true + description: The file object. + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 02, 2022 + x-details: Input parameter changed and supported to nested json. + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Previous Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 6a61a514ff05f2ae88d8c539711df7419cd4ee9c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 16:57:47 +0530 Subject: [PATCH 4106/5916] Rename json-csv_convertor1.yaml to json-csv_convertor_1.yaml --- utility/{json-csv_convertor1.yaml => json-csv_convertor_1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{json-csv_convertor1.yaml => json-csv_convertor_1.yaml} (100%) diff --git a/utility/json-csv_convertor1.yaml b/utility/json-csv_convertor_1.yaml similarity index 100% rename from utility/json-csv_convertor1.yaml rename to utility/json-csv_convertor_1.yaml From 9932896839da8f1d41db2f19b2f94c6cfb2782df Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 16:58:37 +0530 Subject: [PATCH 4107/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 4fd076692..509ed93cf 100644 --- a/index.yaml +++ b/index.yaml @@ -285,7 +285,8 @@ utility: json-csv_convertor: title: JSON-CSV Convertor versions: - 0.1.0: 'json-csv_convertor.yaml' + 2.0.0: 'json-csv_convertor.yaml' + 0.1.0: 'json-csv_convertor_1.yaml' csv-json_convertor: title: CSV-JSON Convertor versions: From 8c55e7ee33d8d0055f337b0d6f9927e01e35ad34 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:00:32 +0530 Subject: [PATCH 4108/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index 3945be745..0f69a98ce 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -22,7 +22,7 @@ info: x-apidetailsdesc: |+ Converts Json file to CVS file. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - May 02, 2022" From 9ecb2336390e226055be983cf5b61b50e2d808da Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:01:19 +0530 Subject: [PATCH 4109/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index 0f69a98ce..035be8a73 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -111,7 +111,7 @@ components: properties: results: type: object - example: [{key:value}] + example: { "" } description: list of json objects properties: url: From 53e1d3a1052cc22663c3155fe1ddeb0a2b34bbb9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:04:03 +0530 Subject: [PATCH 4110/5916] Update json-csv_convertor_1.yaml --- utility/json-csv_convertor_1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/utility/json-csv_convertor_1.yaml b/utility/json-csv_convertor_1.yaml index 38caf3336..cc7b883e9 100644 --- a/utility/json-csv_convertor_1.yaml +++ b/utility/json-csv_convertor_1.yaml @@ -230,6 +230,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 02, 2022 + x-details: Input parameter changed and supported to nested json. + description: Latest Version v0.1.0: type: array items: @@ -237,7 +245,7 @@ components: - type: string example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added - description: Latest Version + description: Previous Version v0.0.1: type: array items: From 896f82bd8d7d0ff2c3ef6edd5a2094f872d6cace Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:28:26 +0530 Subject: [PATCH 4111/5916] Update and rename csv-json_convertor.yaml to csv-json_convertor_1.yaml --- ...nvertor.yaml => csv-json_convertor_1.yaml} | 22 +++++++++++++------ 1 file changed, 15 insertions(+), 7 deletions(-) rename utility/{csv-json_convertor.yaml => csv-json_convertor_1.yaml} (91%) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor_1.yaml similarity index 91% rename from utility/csv-json_convertor.yaml rename to utility/csv-json_convertor_1.yaml index 0eda5ac66..5eccadf71 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor_1.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '2.0.0' x-subscribelink: csv-json_convertor x-apitype: small file x-apitypedescription: |+ @@ -24,15 +24,15 @@ info: x-apidetailsdesc: |+ Converts CSV file to JSON format. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Jan 17, 2022" +- name: "v2.0.0" + description: "Published Date - May 02, 2022" paths: - /microservices/utility/csvtojson/v1.0/getresults: + /microservices/utility/csvtojson/v2/getresults: post: tags: - - v0.1.0 + - v2.0.0 responses: '200': description: Ok @@ -209,6 +209,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 02, 2022 + x-details: Input parameter changed to standard. + description: Latest Version v0.1.0: type: array items: @@ -216,7 +224,7 @@ components: - type: string example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added - description: Latest Version + description: Previous Version v0.0.1: type: array items: From b1659693b676db4b404b1d12f5feebb51b190faa Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:28:38 +0530 Subject: [PATCH 4112/5916] Create csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 262 ++++++++++++++++++++++++++++++++ 1 file changed, 262 insertions(+) create mode 100644 utility/csv-json_convertor.yaml diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml new file mode 100644 index 000000000..d95bf55d0 --- /dev/null +++ b/utility/csv-json_convertor.yaml @@ -0,0 +1,262 @@ +openapi: 3.0.1 +info: + title: CSV-JSON Convertor + description: |+ + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + + The size of your file should **not exceed 3.5 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. + version: '0.1.0' + x-subscribelink: csv-json_convertor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 3.5 MB/Call + x-inputfilelimit: |+ + Process up to 3.5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 3.5 MB. + x-apidetailsdesc: |+ + Converts CSV file to JSON format. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jan 17, 2022" +paths: + /microservices/utility/csvtojson/v1.0/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Converted and stored in Google Cloud Storage + results: + jsondata: [] + url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Successfully Converted and stored in Google Cloud Storage + example: Successfully Converted and stored in Google Cloud Storage + results: + type: object + example: { "" } + description: List of items + properties: + jsondata: + type: string + example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] + description: converted json object + url: + type: string + description: converted json object + example: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + status: + type: string + example: Success + description: The status of the API call. success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 02, 2022 + x-details: Input parameter changed to standard. + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Previous Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15, 2020 + x-details: Initial version release + description: Archived + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - filePath + properties: + csvfile: + type: string + format: binary + default: true + example: sample.csv + description: The file object. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 205ae0c97b24b59881d5ffcdeec538b9ef16694f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:29:17 +0530 Subject: [PATCH 4113/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 509ed93cf..210dd60bc 100644 --- a/index.yaml +++ b/index.yaml @@ -290,7 +290,8 @@ utility: csv-json_convertor: title: CSV-JSON Convertor versions: - 0.1.0: 'csv-json_convertor.yaml' + 2.0.0: 'csv-json_convertor.yaml' + 0.1.0: 'csv-json_convertor_1.yaml' audio_processing_utility: title: Audio Format Convertor versions: From 94a61b06399d10a6826e333f183baa73c4641274 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:31:38 +0530 Subject: [PATCH 4114/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index d95bf55d0..cd9aeceb5 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -24,12 +24,12 @@ info: x-apidetailsdesc: |+ Converts CSV file to JSON format. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jan 17, 2022" + description: "Published Date - May 02, 2022" paths: - /microservices/utility/csvtojson/v1.0/getresults: + /microservices/utility/csvtojson/v2/getresults: post: tags: - v0.1.0 @@ -224,7 +224,7 @@ components: - type: string example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added - description: Previous Version + description: Previous Version v0.0.1: type: array items: @@ -245,7 +245,7 @@ components: input: type: object required: - - filePath + - csvfile properties: csvfile: type: string From 74a9dcff2210e5afc636f00498f1291bfed0ab12 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:33:34 +0530 Subject: [PATCH 4115/5916] Update csv-json_convertor_1.yaml --- utility/csv-json_convertor_1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/csv-json_convertor_1.yaml b/utility/csv-json_convertor_1.yaml index 5eccadf71..81049e500 100644 --- a/utility/csv-json_convertor_1.yaml +++ b/utility/csv-json_convertor_1.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '2.0.0' + version: '0.1.0' x-subscribelink: csv-json_convertor x-apitype: small file x-apitypedescription: |+ @@ -26,13 +26,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.0" +- name: "v0.1.0" description: "Published Date - May 02, 2022" paths: /microservices/utility/csvtojson/v2/getresults: post: tags: - - v2.0.0 + - v0.1.0 responses: '200': description: Ok From 2cd65969705f2aee44ebbd6513b4594a9c087c4c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:34:06 +0530 Subject: [PATCH 4116/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index cd9aeceb5..84d4db03e 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '2.0.0' x-subscribelink: csv-json_convertor x-apitype: small file x-apitypedescription: |+ @@ -26,13 +26,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v2.0.0" description: "Published Date - May 02, 2022" paths: /microservices/utility/csvtojson/v2/getresults: post: tags: - - v0.1.0 + - v2.0.0 responses: '200': description: Ok From 42a9ecde743932c8547aa9a8df200d5b1d7f6bda Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 2 May 2022 17:35:16 +0530 Subject: [PATCH 4117/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 84d4db03e..32ed8fdec 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -245,13 +245,13 @@ components: input: type: object required: - - csvfile + - filePath properties: - csvfile: + filePath: type: string format: binary - default: true example: sample.csv + default: true description: The file object. securitySchemes: APIAuthorizer: From aba73de1841eab3c06d5f6672b8fffd90ea7fba9 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 4 May 2022 09:02:11 +0530 Subject: [PATCH 4118/5916] Update machine_translation_system.yaml --- nlp/machine_translation_system.yaml | 69 ++++++++++++++++++----------- 1 file changed, 44 insertions(+), 25 deletions(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index f54713846..454ad648d 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -1,9 +1,8 @@ - openapi: 3.0.1 info: - title: Machine Translation System + title: machine_translation_system description: |+ - A machine learning translation system supporting four official languages in Singapore(English, Malay, Chinese, Tamil) and supports 7 language pairs ie: + A machine learning translation system supporting four official language pairs in Singapore(English, Malay, Chinese, Tamil) and supports 7 language pairs ie: 1. English - Chinese 2. English - Tamil 3. Chinese - English @@ -11,7 +10,7 @@ info: 5. Tamil - English 6. Malay - English 7. English - Malay - version: v0.1.0 + version: v0.1.1 x-additionalinfo: |+ Suggested usecases: It can be used to translate text for any applications, and can be augmented to internationalize with existing NLP microservices provided by sentient.io. @@ -19,13 +18,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - April 07, 2022" +- name: "v0.1.1" + description: "Published Date - May 02, 2022" paths: /microservices/nlp/translate/v0/getpredictions: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: success response @@ -35,7 +34,12 @@ paths: $ref: '#/components/schemas/success' example: results: - translation_text: "\u65E9\u4E0A\u597D" + message: Successfully Processed + results: + translation_text: Di hari Rabu, petugas imigrasi yang paling khusus telah di-izinkan + keluar dari rumah selama 12 bulan, lebih jauh dari rumah mereka akan diinformasikan + kepada orang-orang yang mungkin telah diinformasikan pada hari Selasa, + status: Success message: Successfully Processed status: Success @@ -111,9 +115,24 @@ components: description: The result of the API call. example: { "" } properties: - translation_text: - description: Translated text in target language - example: "\u65E9\u4E0A\u597D" + message: + description: Status of API call and indicated whether it's succesfully processed, whether any invalid input or errors exist. + example: Successfully Processed + type: string + results: + description: The results + example: ' ' + properties: + translation_text: + description: Text which is translated in target language + example: Di hari Rabu, petugas imigrasi yang paling khusus telah di-izinkan + keluar dari rumah selama 12 bulan, lebih jauh dari rumah mereka akan diinformasikan + kepada orang-orang yang mungkin telah diinformasikan pada hari Selasa, + type: string + type: object + status: + description: Indicates whether API call is succesful or not. + example: Success type: string message: @@ -209,45 +228,45 @@ components: versions: type: object properties: - v0.1.0: + v0.1.1: type: array items: oneOf: - type: string - example: Published Date - April 07, 2022 - description: Machine Translation System + example: Published Date - May 2, 2022 + description: Fixed bugs raised related to limit not being set and added error handling logic. input: type: object required: - - text - - source - target + - text + properties: - text: - x-name: text - type: string - default: True - example: Good Morning - description: |+ - The input text to be passed source: x-name: source type: string default: True - example: en + example: zh description: |+ The source language of text target: x-name: target type: string default: True - example: zh + example: ms description: |+ The target language for which text to be translated + text: + x-name: text + type: string + default: True + example: 新加坡 - 截至周三（2 月 19 日）中午，即该计划启动 12 小时后，移民官员已发出 77 份居家通知。这些通知是发给新加坡居民、长期准证持有者和曾到大陆旅行的外国工人的周四，移民和关卡局（ICA）在回答询问时表示，中国在过去 14 天内。来自湖北省的旅客被排除在该计划之外，因为他们已被隔离。收到新通知的人于周二晚上 11.59，14 天不能离开家。这比休假 (LOA) 更严格，后者允许人们短暂离开家以获取必需品。 LOA 将不再签发。那些不遵守居家期间的人可能会根据《传染病法》被起诉，ICA 警告说。他们可能被处以最高 10,000 美元的罚款或最长 6 个月的监禁，或两者兼施。初犯。对于随后的犯罪，最高可达 20,000 美元，最长可达一年。 + description: |+ + The input text to be passed for translation securitySchemes: From a24ceb28ecdd87a3f92d7d2bbbb65d39701a0a8e Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 4 May 2022 10:41:24 +0530 Subject: [PATCH 4119/5916] Update machine_translation_system.yaml --- nlp/machine_translation_system.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index 454ad648d..f4f03b7e4 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -10,7 +10,7 @@ info: 5. Tamil - English 6. Malay - English 7. English - Malay - version: v0.1.1 + version: v0.1.0 x-additionalinfo: |+ Suggested usecases: It can be used to translate text for any applications, and can be augmented to internationalize with existing NLP microservices provided by sentient.io. From bb5f8d8c935023c75ce52221d73b56f8eeb970ae Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 12:47:02 +0530 Subject: [PATCH 4120/5916] Update csv-json_convertor_1.yaml --- utility/csv-json_convertor_1.yaml | 16 ++++------------ 1 file changed, 4 insertions(+), 12 deletions(-) diff --git a/utility/csv-json_convertor_1.yaml b/utility/csv-json_convertor_1.yaml index 81049e500..0eda5ac66 100644 --- a/utility/csv-json_convertor_1.yaml +++ b/utility/csv-json_convertor_1.yaml @@ -24,12 +24,12 @@ info: x-apidetailsdesc: |+ Converts CSV file to JSON format. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 02, 2022" + description: "Published Date - Jan 17, 2022" paths: - /microservices/utility/csvtojson/v2/getresults: + /microservices/utility/csvtojson/v1.0/getresults: post: tags: - v0.1.0 @@ -209,14 +209,6 @@ components: versions: type: object properties: - v2.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 02, 2022 - x-details: Input parameter changed to standard. - description: Latest Version v0.1.0: type: array items: @@ -224,7 +216,7 @@ components: - type: string example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added - description: Previous Version + description: Latest Version v0.0.1: type: array items: From 5692d08666e62e125034e959b982dc57225d38ac Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 4 May 2022 12:57:00 +0530 Subject: [PATCH 4121/5916] Update sentence ranaking microservice docs --- nlp/textimportance.yaml | 116 +++++++++++++++++++++++++--------------- 1 file changed, 74 insertions(+), 42 deletions(-) diff --git a/nlp/textimportance.yaml b/nlp/textimportance.yaml index 4b6d78e6d..e5a22da7c 100644 --- a/nlp/textimportance.yaml +++ b/nlp/textimportance.yaml @@ -1,19 +1,19 @@ - openapi: 3.0.1 info: title: Sentence Ranking description: |+ - This NLP microservice given a set of sentences in a text document, rank each sentence by their importance/relevance after pre-processing. + Takes in a set of sentences in a text document and rank each sentence by their importance/relevancy version: v0.1.0 x-additionalinfo: |+ - Suggested usecases: It can be used in text analytics to understanding importance and get a textual importance of any provided document. + Suggested usecases: It can be used in text analytics to understanding importance and get a textual importance of any provided document. + x-subscribelink: text_importance_model servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - March 30, 2022" + description: "Published Date - May 02, 2022" paths: - /microservices/nlp/textimportance/v0/getpredictions: + /microservices/nlp/sentenceranking/v0/getpredictions: post: tags: - v0.1.0 @@ -26,26 +26,31 @@ paths: $ref: '#/components/schemas/success' example: results: - textoutput: - - a right - arm leg spinner , he is widely considered as one of the greatest bowlers - in cricket history , and in 2000 he was selected by a panel of cricket experts as - one of five wisden cricketers of the century , the only specialist bowler and the - only one still playing at the time . - - warne 's 708 test wickets was the record for the most wickets taken by any bowler - in test cricket until 2007 . - - a useful lower - order batsman , warne scored more than 3,000 test runs , with a - highest score of 99 , and remains the highest test runscorer without a century.[5 - ] as well as playing internationally , warne played domestic cricket for his home - state of victoria and english domestic cricket for hampshire . - - in 2007 , warne was named in australia 's greatest ever odi team . - - in the 150th anniversary of the wisden cricketers ' almanack , warne was named in - an all - time test world xi.[6 ] in 2012 , he was also inducted into the cricket - hall of fame by cricket australia.[7 ] in 2013 , warne was inducted into the icc - cricket hall of fame.[8 ] in february 2018 , the rajasthan royals appointed warne - as their team mentor for the ipl 2018.[9 ] his career was plagued by scandals off - the field , including a ban from cricket for testing positive for a prohibited substance - , charges of bringing the game into disrepute with the john the bookmaker controversy - and sexual indiscretions . + message: Successfully Processed + results: + textoutput: + - score: 0.5730226756621493 + sentence: A right-arm leg spinner, he is widely considered as one of the greatest + bowlers in cricket history, and in 2000 he was selected by a panel of cricket + experts as one of five Wisden Cricketers of the Century, the only specialist + bowler and the only one still playing at the time. + - score: 0.8634419098743766 + sentence: Warne's 708 Test wickets was the record for the most wickets taken by + any bowler in Test cricket until 2007. + - score: 0.5932291458244913 + sentence: As well as playing internationally, Warne played domestic cricket for + his home state of Victoria and English domestic cricket for Hampshire. + - score: 0.8016876316725924 + sentence: In 2007, Warne was named in Australia's greatest ever ODI team. + - score: 0.753433672617181 + sentence: In the 150th anniversary of the Wisden Cricketers' Almanack, Warne was + named in an all-time Test World XI. + - score: 1.0 + sentence: In 2012, he was also inducted into the Cricket Hall of Fame by Cricket + Australia. + - score: 0.7101315532171941 + sentence: In 2013, Warne was inducted into the ICC Cricket Hall of Fame.[8] + status: Success message: Successfully Processed status: Success @@ -121,20 +126,47 @@ components: description: The result of the API call. example: { "" } properties: - textoutput: - description: Returns a list of sentences ranked based on the relevance in the document. - example: a right - arm leg spinner , he is widely considered as one of the greatest - bowlers in cricket history , and in 2000 he was selected by a panel of cricket - experts as one of five wisden cricketers of the century , the only specialist - bowler and the only one still playing at the time . - items: - description: Returns a list of sentences ranked based on relevance in the document. - example: a right - arm leg spinner , he is widely considered as one of the greatest - bowlers in cricket history , and in 2000 he was selected by a panel of cricket - experts as one of five wisden cricketers of the century , the only specialist - bowler and the only one still playing at the time . - type: string - type: array + message: + description: Response message + example: Successfully Processed + type: string + results: + description: Json Object of returned results + example: ' ' + properties: + textoutput: + description: An array of important sentences ranked by output. + example: + score: 0.5730226756621493 + sentence: A right-arm leg spinner, he is widely considered as one of the greatest + bowlers in cricket history, and in 2000 he was selected by a panel of cricket + experts as one of five Wisden Cricketers of the Century, the only specialist + bowler and the only one still playing at the time. + items: + properties: + description: TO FILL MANUALLY + example: ' ' + properties: + score: + description: How important the text is + example: 0.5730226756621493 + type: float + sentence: + description: A sentence in text provided + example: A right-arm leg spinner, he is widely considered as one of + the greatest bowlers in cricket history, and in 2000 he was selected + by a panel of cricket experts as one of five Wisden Cricketers of + the Century, the only specialist bowler and the only one still playing + at the time. + type: string + type: object + type: object + type: array + type: object + status: + description: API success call. + example: Success + type: string message: type: string @@ -234,8 +266,8 @@ components: items: oneOf: - type: string - example: Published Date - March 30, 2022 - description: Initial version release. + example: Published Date - May 02, 2022 + description: TO FILL MANUALLY input: type: object required: @@ -258,4 +290,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From efe2162573198a88815561a264c13c5b6ff05bd3 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 4 May 2022 12:57:07 +0530 Subject: [PATCH 4122/5916] Update machine_translation_system.yaml --- nlp/machine_translation_system.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index f4f03b7e4..5f0c25d3d 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -18,13 +18,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" +- name: "v0.1.0" description: "Published Date - May 02, 2022" paths: /microservices/nlp/translate/v0/getpredictions: post: tags: - - v0.1.1 + - v0.1.0 responses: '200': description: success response @@ -228,7 +228,7 @@ components: versions: type: object properties: - v0.1.1: + v0.1.0: type: array items: oneOf: From 3ec17d030861b432ef6bf6a4f669ff10fab20f78 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 4 May 2022 13:04:32 +0530 Subject: [PATCH 4123/5916] Update yaml files --- nlp/machine_translation_system.yaml | 4 ++-- nlp/textimportance.yaml | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index 5f0c25d3d..e963f0007 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: machine_translation_system + title: Machine Translation System description: |+ A machine learning translation system supporting four official language pairs in Singapore(English, Malay, Chinese, Tamil) and supports 7 language pairs ie: 1. English - Chinese @@ -234,7 +234,7 @@ components: oneOf: - type: string example: Published Date - May 2, 2022 - description: Fixed bugs raised related to limit not being set and added error handling logic. + description: Initial version with fixes for bugs raised related to limit not being set and added error handling logic. input: type: object required: diff --git a/nlp/textimportance.yaml b/nlp/textimportance.yaml index e5a22da7c..63fee5319 100644 --- a/nlp/textimportance.yaml +++ b/nlp/textimportance.yaml @@ -144,15 +144,15 @@ components: bowler and the only one still playing at the time. items: properties: - description: TO FILL MANUALLY + description: Individual objects in textOutput example: ' ' properties: score: - description: How important the text is + description: How important the sentence is in given text according to the Model. example: 0.5730226756621493 type: float sentence: - description: A sentence in text provided + description: A sentence in text input provided. example: A right-arm leg spinner, he is widely considered as one of the greatest bowlers in cricket history, and in 2000 he was selected by a panel of cricket experts as one of five Wisden Cricketers of @@ -267,7 +267,7 @@ components: oneOf: - type: string example: Published Date - May 02, 2022 - description: TO FILL MANUALLY + description: "Initial version of API." input: type: object required: From d2fd69c690848e67f4f566ed8ca817145dcb2461 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 13:57:41 +0530 Subject: [PATCH 4124/5916] Update csv-json_convertor_1.yaml --- utility/csv-json_convertor_1.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/utility/csv-json_convertor_1.yaml b/utility/csv-json_convertor_1.yaml index 0eda5ac66..92f266ae4 100644 --- a/utility/csv-json_convertor_1.yaml +++ b/utility/csv-json_convertor_1.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '0.1.0' + version: '1.0.0' x-subscribelink: csv-json_convertor x-apitype: small file x-apitypedescription: |+ @@ -26,13 +26,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v1.0.0" description: "Published Date - Jan 17, 2022" paths: /microservices/utility/csvtojson/v1.0/getresults: post: tags: - - v0.1.0 + - v1.0.0 responses: '200': description: Ok @@ -209,7 +209,7 @@ components: versions: type: object properties: - v0.1.0: + v1.0.0: type: array items: oneOf: From ec1f4737b6e58570291d1a5df2cb8bc5289ce706 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 14:00:12 +0530 Subject: [PATCH 4125/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 210dd60bc..add1e95fd 100644 --- a/index.yaml +++ b/index.yaml @@ -286,7 +286,7 @@ utility: title: JSON-CSV Convertor versions: 2.0.0: 'json-csv_convertor.yaml' - 0.1.0: 'json-csv_convertor_1.yaml' + 1.0.0: 'json-csv_convertor_1.yaml' csv-json_convertor: title: CSV-JSON Convertor versions: From 4ffd5238b3871248a924551aa2f911f45bc4d1c5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 14:02:48 +0530 Subject: [PATCH 4126/5916] Update csv-json_convertor_1.yaml --- utility/csv-json_convertor_1.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/utility/csv-json_convertor_1.yaml b/utility/csv-json_convertor_1.yaml index 92f266ae4..1005239d4 100644 --- a/utility/csv-json_convertor_1.yaml +++ b/utility/csv-json_convertor_1.yaml @@ -209,6 +209,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 02, 2022 + x-details: Input parameter changed and supported to nested json. + description: Latest Version v1.0.0: type: array items: From 02ef8926845c5cd6681d20a1cdfbace8a9cefd95 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 14:02:53 +0530 Subject: [PATCH 4127/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index 035be8a73..b5c931d92 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -229,14 +229,14 @@ components: example: Published Date - May 02, 2022 x-details: Input parameter changed and supported to nested json. description: Latest Version - v0.1.0: + v1.0.0: type: array items: oneOf: - type: string example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added - description: Previous Version + description: Latest Version v0.0.1: type: array items: From ac3fa13fdc856d08302c9a012ed0a16e7337f590 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 14:06:58 +0530 Subject: [PATCH 4128/5916] Update json-csv_convertor_1.yaml --- utility/json-csv_convertor_1.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/utility/json-csv_convertor_1.yaml b/utility/json-csv_convertor_1.yaml index cc7b883e9..20cb47792 100644 --- a/utility/json-csv_convertor_1.yaml +++ b/utility/json-csv_convertor_1.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of JSON into CSV spreadsheets like Google Sheets or Excel to analyze data without programming. - version: '0.1.0' + version: '1.0.0' x-subscribelink: json-csv_convertor x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v1.0.0" description: "Published Date - Jan 17, 2022" paths: /microservices/utility/jsontocsv/v1.0/getresults: post: tags: - - v0.1.0 + - v1.0.0 responses: '200': description: Ok @@ -238,7 +238,7 @@ components: example: Published Date - May 02, 2022 x-details: Input parameter changed and supported to nested json. description: Latest Version - v0.1.0: + v1.0.0: type: array items: oneOf: From 6fba6bedbb82c24d365fc688838c8de9832d3b13 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 14:07:31 +0530 Subject: [PATCH 4129/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index add1e95fd..4797b0c2c 100644 --- a/index.yaml +++ b/index.yaml @@ -291,7 +291,7 @@ utility: title: CSV-JSON Convertor versions: 2.0.0: 'csv-json_convertor.yaml' - 0.1.0: 'csv-json_convertor_1.yaml' + 1.0.0: 'csv-json_convertor_1.yaml' audio_processing_utility: title: Audio Format Convertor versions: From d74b2c0b4d3e33ca87a078fe678707cd03878ad0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 14:08:21 +0530 Subject: [PATCH 4130/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 32ed8fdec..ba4ef8255 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -217,7 +217,7 @@ components: example: Published Date - May 02, 2022 x-details: Input parameter changed to standard. description: Latest Version - v0.1.0: + v1.0.0: type: array items: oneOf: From 000eb4f96718234d8e80b6253980cb7c8dae8ff1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 14:09:27 +0530 Subject: [PATCH 4131/5916] Update csv-json_convertor_1.yaml --- utility/csv-json_convertor_1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/csv-json_convertor_1.yaml b/utility/csv-json_convertor_1.yaml index 1005239d4..4a69da0ce 100644 --- a/utility/csv-json_convertor_1.yaml +++ b/utility/csv-json_convertor_1.yaml @@ -224,7 +224,7 @@ components: - type: string example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added - description: Latest Version + description: Previous Version v0.0.1: type: array items: From ecf3ca82f839df3f87794a104f43d4c5ae7a449a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 14:10:27 +0530 Subject: [PATCH 4132/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index b5c931d92..a3a17457f 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -236,7 +236,7 @@ components: - type: string example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added - description: Latest Version + description: Previous Version v0.0.1: type: array items: From e4c28d5847e18a82e9a5ff55312b880c3e759b40 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 15:15:13 +0530 Subject: [PATCH 4133/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index a3a17457f..dcb1befb6 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -3,6 +3,7 @@ info: title: JSON-CSV Convertor description: |+ This Utility microservice converts the input JSON file to CSV file. It will convert nested json upto key and value should be in dictionary format. + The size of your file should **not exceed 3.5 MB**. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of JSON into CSV spreadsheets like Google Sheets or Excel to analyze data without programming. From 53d8e89f879e83be9d117fc9d513868a6c1da7b6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 4 May 2022 15:15:46 +0530 Subject: [PATCH 4134/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index ba4ef8255..8b5abbaa5 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -43,7 +43,6 @@ paths: example: message: Successfully Converted and stored in Google Cloud Storage results: - jsondata: [] url: https://storage.googleapis.com/json_csv/data.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-bigquery%40sentient-231509.iam.gserviceaccount.com%2F20200617%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20200617T125854Z&X-Goog-Expires=6000&X-Goog-SignedHeaders=host&X-Goog-Signature=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 status: Success '401': @@ -122,10 +121,6 @@ components: example: { "" } description: List of items properties: - jsondata: - type: string - example: [{"emp_name":"xxxxx","email":"xxxxx@sentient.io","job":"developer"}] - description: converted json object url: type: string description: converted json object From 5bcd6f99260c00b27eacfde296c9eeeb85c77b07 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 4 May 2022 17:20:01 +0530 Subject: [PATCH 4135/5916] Update machine_translation_system.yaml --- nlp/machine_translation_system.yaml | 14 +++++--------- 1 file changed, 5 insertions(+), 9 deletions(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index e963f0007..a4c557b41 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -36,9 +36,7 @@ paths: results: message: Successfully Processed results: - translation_text: Di hari Rabu, petugas imigrasi yang paling khusus telah di-izinkan - keluar dari rumah selama 12 bulan, lebih jauh dari rumah mereka akan diinformasikan - kepada orang-orang yang mungkin telah diinformasikan pada hari Selasa, + translation_text: "在长周末,新加坡和马来西亚之间的950 000多名旅行者使用了土地检查站。 更多旅行者离开了新加坡--491 400人,与上一星期五(4月29日)至星期二五天来到该国的462 400人。" status: Success message: Successfully Processed @@ -125,9 +123,7 @@ components: properties: translation_text: description: Text which is translated in target language - example: Di hari Rabu, petugas imigrasi yang paling khusus telah di-izinkan - keluar dari rumah selama 12 bulan, lebih jauh dari rumah mereka akan diinformasikan - kepada orang-orang yang mungkin telah diinformasikan pada hari Selasa, + example: "在长周末,新加坡和马来西亚之间的950 000多名旅行者使用了土地检查站。 更多旅行者离开了新加坡--491 400人,与上一星期五(4月29日)至星期二五天来到该国的462 400人。" type: string type: object status: @@ -250,21 +246,21 @@ components: x-name: source type: string default: True - example: zh + example: en description: |+ The source language of text target: x-name: target type: string default: True - example: ms + example: zh description: |+ The target language for which text to be translated text: x-name: text type: string default: True - example: 新加坡 - 截至周三（2 月 19 日）中午，即该计划启动 12 小时后，移民官员已发出 77 份居家通知。这些通知是发给新加坡居民、长期准证持有者和曾到大陆旅行的外国工人的周四，移民和关卡局（ICA）在回答询问时表示，中国在过去 14 天内。来自湖北省的旅客被排除在该计划之外，因为他们已被隔离。收到新通知的人于周二晚上 11.59，14 天不能离开家。这比休假 (LOA) 更严格，后者允许人们短暂离开家以获取必需品。 LOA 将不再签发。那些不遵守居家期间的人可能会根据《传染病法》被起诉，ICA 警告说。他们可能被处以最高 10,000 美元的罚款或最长 6 个月的监禁，或两者兼施。初犯。对于随后的犯罪，最高可达 20,000 美元，最长可达一年。 + example: More than 950,000 travellers used the land checkpoints between Singapore and Malaysia over the long weekend.More travellers left Singapore - 491,400 - compared with 462,400 arrivals into the country over five days from last Friday (April 29) to Tuesday. description: |+ The input text to be passed for translation From 9c428b6e1123befaa98d9271a8c703c35ce61c3b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 09:52:46 +0530 Subject: [PATCH 4136/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index ee3b7dc02..907734550 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -46,10 +46,10 @@ info: x-apidetailsdesc: |+ Provides number of available lots within Singapore's Housing Development Board. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Apr 13, 2022" + description: "Published Date - May 05, 2022" paths: /microservices/data/ltacarparkhistorical/v0/getdata: post: @@ -418,7 +418,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 13, 2022 + example: Published Date - May 05, 2022 x-details: Default limit changed description: Latest Version v0.1.0: From 57e0d48676a4160fa6beeaa0d03f9f7721d8f7f7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 09:53:20 +0530 Subject: [PATCH 4137/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index 25571a5ec..2ab148715 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -37,10 +37,10 @@ info: x-apidetailsdesc: |+ Provides alerts of traffic lights that are currently faulty. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Apr 13, 2022" + description: "Published Date - May 05, 2022" paths: /microservices/data/ltafaultytrafficlights/v0/getdata: post: @@ -311,7 +311,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 13, 2022 + example: Published Date - May 05, 2022 x-details: Default limit changed description: Latest Version v0.1.0: From 35a3dafe2ab606816f2e095e4ffa828a0408a0ef Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 09:53:45 +0530 Subject: [PATCH 4138/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 869dd0d32..646240eb0 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -38,10 +38,10 @@ info: x-apidetailsdesc: |+ Provides tap in and tap out passenger volume by weekdays and weekends for individual bus stop. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Apr 13, 2022" + description: "Published Date - May 05, 2022" paths: /microservices/data/ltapvbus/v0/getdata: post: @@ -320,7 +320,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 13, 2022 + example: Published Date - May 05, 2022 x-details: Default limit changed description: Latest Version v0.1.0: From b4574ef1eab1dd4819b976687b394fa0b645318c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 09:54:09 +0530 Subject: [PATCH 4139/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index 0e84f5a58..950790e84 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -38,10 +38,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Apr 13, 2022" + description: "Published Date - May 05, 2022" paths: /microservices/data/ltaroadworks/v0/getdata: post: @@ -316,7 +316,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 13, 2022 + example: Published Date - May 05, 2022 x-details: Default limit changed description: Latest Version v0.1.0: From 8da764bc6ed5f9e06df6afa3b8900d82861def6c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 09:54:39 +0530 Subject: [PATCH 4140/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index fef16f975..f2bc3abe2 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -50,10 +50,10 @@ info: x-apidetailsdesc: |+ Provides links to images of live traffic conditions. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Apr 13, 2022" + description: "Published Date - May 05, 2022" paths: /microservices/data/ltatrafficimagesv2/v0/getdata: post: @@ -321,7 +321,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 13, 2022 + example: Published Date - May 05, 2022 x-details: Default limit changed description: Latest Version v0.1.0: From 3a48dc32d8e3e0ebfbcf9f3f6db35e970e6949ad Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 09:55:10 +0530 Subject: [PATCH 4141/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index b16739e92..e10b3c6dc 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -42,10 +42,10 @@ info: x-apidetailsdesc: |+ Provides real time incidents on the roads. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Apr 13, 2022" + description: "Published Date - May 05, 2022" paths: /microservices/data/ltatrafficincidents/v0/getdata: post: @@ -365,7 +365,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 13, 2022 + example: Published Date - May 05, 2022 x-details: Default limit changed description: Latest Version v0.1.0: From 11bc47f792b8e1207543cf73b40fab89585facbb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 09:55:36 +0530 Subject: [PATCH 4142/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index 78ac87934..b46345ea6 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -46,10 +46,10 @@ info: x-apidetailsdesc: |+ Provides current traffic speeds. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Apr 13, 2022" + description: "Published Date - May 05, 2022" paths: /microservices/data/ltaspeedbandhistorical/v0/getdata: post: @@ -441,7 +441,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 13, 2022 + example: Published Date - May 05, 2022 x-details: Default limit changed description: Latest Version v0.1.0: From e9391ef4fe8e6976738f8c8c3ff4ef1b626867a6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 09:56:29 +0530 Subject: [PATCH 4143/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index 738ccab9d..58043f31e 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -40,10 +40,10 @@ info: x-apidetailsdesc: |+ Provides traffic advisories. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Feb 01, 2022" + description: "Published Date - May 05, 2022" paths: /microservices/data/ltavms/v0/getdata: post: @@ -310,7 +310,7 @@ components: items: oneOf: - type: string - example: Published Date - Apr 13, 2022 + example: Published Date - May 05, 2022 x-details: Default limit changed description: Latest Version v0.1.0: From eb5ad1b48247eddc08a8428d0ae097d88b0f0824 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 10:52:36 +0530 Subject: [PATCH 4144/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index fd9108b2c..6532759bb 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Build services related to sound engineering or audio editing as WAV is the format of choice for video and audio editors. WAV files are lossless compared to the lossy MP3 file format, meaning that WAV audio is a high-quality uncompressed file that is excellent for studio recordings and audio mastering. - version: '0.1.0' + version: '0.1.1' x-subscribelink: audio_format_convertor x-apitype: small file x-apitypedescription: |+ @@ -26,13 +26,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.1.1" description: "Published Date - Feb 10, 2022" paths: /microservices/utility/audioprocessing/v0.1/getresults: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok From 7c63d2f85b4aaf1e11936ffe78b0456a6c0b0131 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 10:53:24 +0530 Subject: [PATCH 4145/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 4797b0c2c..b32d5922c 100644 --- a/index.yaml +++ b/index.yaml @@ -295,7 +295,7 @@ utility: audio_processing_utility: title: Audio Format Convertor versions: - 0.1.0: 'audio_processing_utility.yaml' + 0.1.1: 'audio_processing_utility.yaml' video-to-image_convertor: title: Video-to-Image Convertor versions: From 02eed10d107619f6e8f3b76c5a218933c956d8dc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 11:29:13 +0530 Subject: [PATCH 4146/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index b32d5922c..018d1ef79 100644 --- a/index.yaml +++ b/index.yaml @@ -189,7 +189,7 @@ computer vision: object_detection: title: Object Detection versions: - 1.0.0: 'object_detection.yaml' + 1.1.0: 'object_detection.yaml' face_recognition: title: Face Recognition versions: From 78a3ffc279a18c899cea5dd765c5f5ff27c32ac5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 11:38:02 +0530 Subject: [PATCH 4147/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index fdca6451d..e5860d7bf 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -5,7 +5,7 @@ info: This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. The input can be bypassed to asr without passing through vad by setting the optional paramater "vad" to false. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case The length of your audio should be **up to 60 seconds**. - version: '2.2.0' + version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: - Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications, such as implementing voice commands. @@ -26,13 +26,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.2.0" +- name: "v2.0.0" description: "Published Date - Mar 10, 2022" paths: /microservices/voice/asr/v2/getpredictions: post: tags: - - v2.2.0 + - v2.0.0 responses: '200': description: Ok @@ -279,7 +279,7 @@ components: versions: type: object properties: - v2.2.0: + v2.0.0: type: array items: oneOf: From b8acf1fbf8cdbe683da7ab7ffe9955cf4a0a1ea9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 5 May 2022 11:38:14 +0530 Subject: [PATCH 4148/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 018d1ef79..c333bf3d0 100644 --- a/index.yaml +++ b/index.yaml @@ -27,7 +27,7 @@ voice: automatic_speech_recognition_eng: title: Automatic Speech Recognition ENG versions: - 2.2.0: 'automatic_speech_recognition_eng.yaml' + 2.0.0: 'automatic_speech_recognition_eng.yaml' 1.2.0: 'automatic_speech_recognition_eng_v1.2.yaml' automatic_speech_recognition_eng_large_file: title: Automatic Speech Recognition ENG (Large File) From 152c9bbf76c0ffab546033e73318785054415090 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 6 May 2022 12:13:43 +0800 Subject: [PATCH 4149/5916] Final changes for japanese nlp --- nlp/named-entity_recognition_jp.yaml | 69 +++++++++++----------------- 1 file changed, 26 insertions(+), 43 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index e4394c138..3f3e942e0 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -49,11 +49,11 @@ paths: example: message: Successfully Processed results: - ordinal_number: + ordinal: - entity: 30弾 start: 0 end: 3 - doctrine_method_other: + other: - entity: 険所コホ特室りょ start: 16 end: 24 @@ -70,33 +70,31 @@ paths: - entity: ナユ start: 98 end: 100 - product_other: + artefact: - entity: 都合ヘラアニ限 start: 26 end: 33 - entity: 議帳 start: 104 end: 106 - countx_other: + quantity: - entity: 2稿 start: 33 end: 35 - entity: 8口 start: 79 end: 81 - numex_other: - - entity: 百経 - start: 92 - end: 94 - n_event: - entity: 受1 start: 108 end: 110 - age: + measurement: + - entity: 百経 + start: 92 + end: 94 - entity: '56' start: 130 end: 132 - show_organization: + organization: - entity: 左成相態 start: 172 end: 176 @@ -173,17 +171,9 @@ components: type: object example: { "" } description: Json Object of returned results - properties: - age: - x-name: age - type: array - example: - - entity: '56' - start: 130 - end: 132 - description: "age details found in the text string" - countx_other: - x-name: countx_other + properties: + quantity: + x-name: quantity type: array example: - entity: 2稿 @@ -192,33 +182,25 @@ components: - entity: 8口 start: 79 end: 81 - description: "countx other details found in the text string" - doctrine_method_other: - x-name: doctrine_method_other + description: "quantity details found in the text string" + other: + x-name: other type: array example: - entity: 険所コホ特室りょ start: 16 end: 24 - description: "doctrine method in the text string" - n_event: - x-name: n_event - type: array - example: - - entity: 受1 - start: 108 - end: 110 - description: "n_event in the text string" - numex_other: - x-name: numex_other + description: "other entities" + measurement: + x-name: measurement type: array example: - entity: 百経 start: 92 end: 94 - description: "numex_other details found in the text string" - ordinal_number: - x-name: ordinal_number + description: "measurement details found in the text string" + ordinal: + x-name: ordinal type: array example: - entity: 30弾 @@ -242,8 +224,8 @@ components: start: 98 end: 100 description: "person details found in the text string" - product_other: - x-name: product_other + artefact: + x-name: artefact type: array example: - entity: 都合ヘラアニ限 @@ -252,8 +234,9 @@ components: - entity: 議帳 start: 104 end: 106 - description: "product found in the text string" - show_organization: + description: "artefacts found in the text string" + organization: + x-name: organization type: array example: - entity: 左成相態 From d61a3011facd04952ee0cd496d7d2e5e15034ec2 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 6 May 2022 12:42:18 +0530 Subject: [PATCH 4150/5916] Update machine_translation_system.yaml --- nlp/machine_translation_system.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index a4c557b41..af88d9e2c 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -119,7 +119,7 @@ components: type: string results: description: The results - example: ' ' + example: { "" } properties: translation_text: description: Text which is translated in target language From c5ac2d52dfab7df141f867d529ad68e482927332 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 6 May 2022 12:42:34 +0530 Subject: [PATCH 4151/5916] Rename as sentence_ranking yaml --- nlp/{textimportance.yaml => sentence_ranking.yaml} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename nlp/{textimportance.yaml => sentence_ranking.yaml} (99%) diff --git a/nlp/textimportance.yaml b/nlp/sentence_ranking.yaml similarity index 99% rename from nlp/textimportance.yaml rename to nlp/sentence_ranking.yaml index 63fee5319..93426243a 100644 --- a/nlp/textimportance.yaml +++ b/nlp/sentence_ranking.yaml @@ -132,7 +132,7 @@ components: type: string results: description: Json Object of returned results - example: ' ' + example: { "" } properties: textoutput: description: An array of important sentences ranked by output. From c7027ca491287d8bc764bbe5838899f35b9205fb Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 6 May 2022 14:23:20 +0530 Subject: [PATCH 4152/5916] Update machine_translation_system.yaml --- nlp/machine_translation_system.yaml | 23 +++++------------------ 1 file changed, 5 insertions(+), 18 deletions(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index af88d9e2c..f371513fe 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -109,27 +109,14 @@ components: type: object properties: results: - type: object description: The result of the API call. example: { "" } - properties: - message: - description: Status of API call and indicated whether it's succesfully processed, whether any invalid input or errors exist. - example: Successfully Processed - type: string - results: - description: The results - example: { "" } - properties: - translation_text: - description: Text which is translated in target language - example: "在长周末,新加坡和马来西亚之间的950 000多名旅行者使用了土地检查站。 更多旅行者离开了新加坡--491 400人,与上一星期五(4月29日)至星期二五天来到该国的462 400人。" - type: string - type: object - status: - description: Indicates whether API call is succesful or not. - example: Success + properties: + translation_text: + description: Text which is translated in target language + example: "在长周末,新加坡和马来西亚之间的950 000多名旅行者使用了土地检查站。 更多旅行者离开了新加坡--491 400人,与上一星期五(4月29日)至星期二五天来到该国的462 400人。" type: string + type: object message: type: string From ef2e532cfa22ed310e5898becfabc5d64911634e Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 6 May 2022 14:24:57 +0530 Subject: [PATCH 4153/5916] Update machine_translation_system.yaml --- nlp/machine_translation_system.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index f371513fe..3d96a9f69 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -10,6 +10,8 @@ info: 5. Tamil - English 6. Malay - English 7. English - Malay + + Do ensure that your text is within **500 characters**. version: v0.1.0 x-additionalinfo: |+ Suggested usecases: It can be used to translate text for any applications, and can be augmented to internationalize From 6b5cf893a79550ad61592e182f6ae78c7b0891d8 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 6 May 2022 14:31:49 +0530 Subject: [PATCH 4154/5916] Update sentence_ranking.yaml --- nlp/sentence_ranking.yaml | 69 +++++++++++++-------------------------- 1 file changed, 23 insertions(+), 46 deletions(-) diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index 93426243a..7860c69de 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Sentence Ranking description: |+ - Takes in a set of sentences in a text document and rank each sentence by their importance/relevancy + It takes in a set of sentences in text document and ranks sentences using page rank algorithm based on their importance. version: v0.1.0 x-additionalinfo: |+ Suggested usecases: It can be used in text analytics to understanding importance and get a textual importance of any provided document. @@ -121,53 +121,30 @@ components: success: type: object properties: - results: + results: type: object - description: The result of the API call. + description: Json Object of returned results. example: { "" } - properties: - message: - description: Response message - example: Successfully Processed - type: string - results: - description: Json Object of returned results - example: { "" } - properties: - textoutput: - description: An array of important sentences ranked by output. - example: - score: 0.5730226756621493 - sentence: A right-arm leg spinner, he is widely considered as one of the greatest - bowlers in cricket history, and in 2000 he was selected by a panel of cricket - experts as one of five Wisden Cricketers of the Century, the only specialist - bowler and the only one still playing at the time. - items: - properties: - description: Individual objects in textOutput - example: ' ' - properties: - score: - description: How important the sentence is in given text according to the Model. - example: 0.5730226756621493 - type: float - sentence: - description: A sentence in text input provided. - example: A right-arm leg spinner, he is widely considered as one of - the greatest bowlers in cricket history, and in 2000 he was selected - by a panel of cricket experts as one of five Wisden Cricketers of - the Century, the only specialist bowler and the only one still playing - at the time. - type: string - type: object - type: object - type: array - type: object - status: - description: API success call. - example: Success - type: string - + properties: + textoutput: + type: array + description: An array of important sentences ranked by output. + example: + score: 0.5730226756621493 + sentence: A right-arm leg spinner, he is widely considered as one of the greatest + bowlers in cricket history, and in 2000 he was selected by a panel of cricket + experts as one of five Wisden Cricketers of the Century, the only specialist + bowler and the only one still playing at the time. + items: + properties: + score: + description: How important the sentence is in given text according to the Model. + example: 0.5730226756621493 + type: float + sentence: + description: A sentence in text input provided. + example: A right-arm leg spinner, he is widely considered as one of the greatest bowlers in cricket history, and in 2000 he was selected by a panel of cricket experts as one of five Wisden Cricketers of the Century, the only specialist bowler and the only one still playing at the time. + type: string message: type: string example: Successfully Processed From 9b0c482c42fa4a339a15bf766d69e7cb83146abc Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 9 May 2022 10:29:22 +0530 Subject: [PATCH 4155/5916] Update machine_translation_system.yaml --- nlp/machine_translation_system.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation_system.yaml index 3d96a9f69..7d909927d 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation_system.yaml @@ -36,11 +36,7 @@ paths: $ref: '#/components/schemas/success' example: results: - message: Successfully Processed - results: - translation_text: "在长周末,新加坡和马来西亚之间的950 000多名旅行者使用了土地检查站。 更多旅行者离开了新加坡--491 400人,与上一星期五(4月29日)至星期二五天来到该国的462 400人。" - status: Success - + translation_text: "在长周末,新加坡和马来西亚之间的950 000多名旅行者使用了土地检查站。 更多旅行者离开了新加坡--491 400人,与上一星期五(4月29日)至星期二五天来到该国的462 400人。" message: Successfully Processed status: Success '401': From c822d208b9a56d0a196be9c0d0082d03a33395af Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 9 May 2022 10:34:50 +0530 Subject: [PATCH 4156/5916] Update sentence_ranking.yaml --- nlp/sentence_ranking.yaml | 48 ++++++++++++++++++--------------------- 1 file changed, 22 insertions(+), 26 deletions(-) diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index 7860c69de..ef8c2b358 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -26,32 +26,28 @@ paths: $ref: '#/components/schemas/success' example: results: - message: Successfully Processed - results: - textoutput: - - score: 0.5730226756621493 - sentence: A right-arm leg spinner, he is widely considered as one of the greatest - bowlers in cricket history, and in 2000 he was selected by a panel of cricket - experts as one of five Wisden Cricketers of the Century, the only specialist - bowler and the only one still playing at the time. - - score: 0.8634419098743766 - sentence: Warne's 708 Test wickets was the record for the most wickets taken by - any bowler in Test cricket until 2007. - - score: 0.5932291458244913 - sentence: As well as playing internationally, Warne played domestic cricket for - his home state of Victoria and English domestic cricket for Hampshire. - - score: 0.8016876316725924 - sentence: In 2007, Warne was named in Australia's greatest ever ODI team. - - score: 0.753433672617181 - sentence: In the 150th anniversary of the Wisden Cricketers' Almanack, Warne was - named in an all-time Test World XI. - - score: 1.0 - sentence: In 2012, he was also inducted into the Cricket Hall of Fame by Cricket - Australia. - - score: 0.7101315532171941 - sentence: In 2013, Warne was inducted into the ICC Cricket Hall of Fame.[8] - status: Success - + textoutput: + - score: 0.5730226756621493 + sentence: A right-arm leg spinner, he is widely considered as one of the greatest + bowlers in cricket history, and in 2000 he was selected by a panel of cricket + experts as one of five Wisden Cricketers of the Century, the only specialist + bowler and the only one still playing at the time. + - score: 0.8634419098743766 + sentence: Warne's 708 Test wickets was the record for the most wickets taken by + any bowler in Test cricket until 2007. + - score: 0.5932291458244913 + sentence: As well as playing internationally, Warne played domestic cricket for + his home state of Victoria and English domestic cricket for Hampshire. + - score: 0.8016876316725924 + sentence: In 2007, Warne was named in Australia's greatest ever ODI team. + - score: 0.753433672617181 + sentence: In the 150th anniversary of the Wisden Cricketers' Almanack, Warne was + named in an all-time Test World XI. + - score: 1.0 + sentence: In 2012, he was also inducted into the Cricket Hall of Fame by Cricket + Australia. + - score: 0.7101315532171941 + sentence: In 2013, Warne was inducted into the ICC Cricket Hall of Fame.[8] message: Successfully Processed status: Success '401': From edcc8ace71918b7ac4bf281412377ebf165583c6 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 9 May 2022 11:02:40 +0530 Subject: [PATCH 4157/5916] Update sentence_ranking.yaml --- nlp/sentence_ranking.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index ef8c2b358..14afa40d7 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -2,7 +2,9 @@ openapi: 3.0.1 info: title: Sentence Ranking description: |+ - It takes in a set of sentences in text document and ranks sentences using page rank algorithm based on their importance. + It takes in a set of sentences in text documnt and ranks sentences using page rank algorithm based on their importance. + + Do ensure that your text is within **5000 characters**. version: v0.1.0 x-additionalinfo: |+ Suggested usecases: It can be used in text analytics to understanding importance and get a textual importance of any provided document. From 13a5a507ab4c9a417d6f78985ed9312526036742 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 9 May 2022 12:28:42 +0530 Subject: [PATCH 4158/5916] fix for sentence ranking page --- index.yaml | 2 +- nlp/sentence_ranking.yaml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index c333bf3d0..d730057f4 100644 --- a/index.yaml +++ b/index.yaml @@ -114,7 +114,7 @@ nlp: sentence_ranking: title: Sentence Ranking versions: - 0.1.0: 'textimportance.yaml' + 0.1.0: 'sentence_ranking.yaml' spacy_ner: title: spaCy NER versions: diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index 14afa40d7..e8ea0bd1c 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -8,7 +8,7 @@ info: version: v0.1.0 x-additionalinfo: |+ Suggested usecases: It can be used in text analytics to understanding importance and get a textual importance of any provided document. - x-subscribelink: text_importance_model + x-subscribelink: sentence_ranking servers: - url: 'https://dev-apis.sentient.io' tags: From f969601d773f2a9099f306ebae3f00ab71da15ed Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 9 May 2022 15:03:16 +0530 Subject: [PATCH 4159/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 96 +++++++++++++++++++++----------------- 1 file changed, 54 insertions(+), 42 deletions(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 1ad83de88..99035c7ac 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -119,48 +119,60 @@ components: input: type: object properties: - page_url: - type: string - default: true - description: |+ - Page URL of getting suggestion - example: https://test.brivge.com/globalparts/create - time_interval: - type: number - default: true - description: |+ - Time interval of getting suggestion value will be greater than or equal to 60000 - example: 60000 - selection_mode: - type: string - description: |+ - Default value null. Selected mode of getting suggestion - example: Create/Modify Global parts on screen - upload: - type: number - description: |+ - Default value 0. Upload of getting suggestion value will be greater than 0 - example: 1 - add_item: - type: number - description: |+ - Default value 0. Add Item of getting suggestion value will be greater than 0 - example: 1 - edit_item: - type: number - description: |+ - Default value 0. Edit item of getting suggestion value will be greater than 0 - example: 1 - first_prompt: - type: boolean - description: |+ - Default value false.First prompt of getting suggestion value will be true/false - example: false - external_id: - type: string - description: |+ - External Identifier - example: user2 + event_history: + type: object + example: + page_url: https://test.brivge.com/globalparts/create + time_interval: 60000 + selection_mode: Create/Modify Global parts on screen + upload: 1 + add_item: 1 + edit_item: 1 + first_prompt: true/false + external_id: TH-SUPPLIER-001 + properties: + page_url: + type: string + default: true + description: |+ + Page URL of getting suggestion + example: https://test.brivge.com/globalparts/create + time_interval: + type: number + default: true + description: |+ + Time interval of getting suggestion value will be greater than or equal to 60000 + example: 60000 + selection_mode: + type: string + description: |+ + Default value null. Selected mode of getting suggestion + example: Create/Modify Global parts on screen + upload: + type: number + description: |+ + Default value 0. Upload of getting suggestion value will be greater than 0 + example: 1 + add_item: + type: number + description: |+ + Default value 0. Add Item of getting suggestion value will be greater than 0 + example: 1 + edit_item: + type: number + description: |+ + Default value 0. Edit item of getting suggestion value will be greater than 0 + example: 1 + first_prompt: + type: boolean + description: |+ + Default value false.First prompt of getting suggestion value will be true/false + example: false + external_id: + type: string + description: |+ + External Identifier + example: TH-SUPPLIER-001 securitySchemes: APIAuthorizer: type: apiKey From 0ed871380021f6ecde8e54feacb4aac1d89e29f1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 9 May 2022 15:07:01 +0530 Subject: [PATCH 4160/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 99035c7ac..5131530a5 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -128,8 +128,8 @@ components: upload: 1 add_item: 1 edit_item: 1 - first_prompt: true/false - external_id: TH-SUPPLIER-001 + first_prompt: true + external_id: provide external id properties: page_url: type: string From 3c8aada89cd5fe931173401f5ece185bf4588cb4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 9 May 2022 17:03:36 +0530 Subject: [PATCH 4161/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 5131530a5..2ac2af637 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -121,13 +121,11 @@ components: properties: event_history: type: object + description: |+ + event_history will have the fields to filter the rules. example: page_url: https://test.brivge.com/globalparts/create time_interval: 60000 - selection_mode: Create/Modify Global parts on screen - upload: 1 - add_item: 1 - edit_item: 1 first_prompt: true external_id: provide external id properties: From 0b51e1edec3aabce1d56efd4fd7f6e0c9fb8304f Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 11 May 2022 14:47:42 +0800 Subject: [PATCH 4162/5916] Inversenorm doc update --- nlp/inverse_text_normalisation_eng.yaml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index d2745abb4..6a2c79969 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -271,6 +271,13 @@ components: example: false description: |+ Normalize the datetime. Default is False. + convert_ordinals: + x-name: convert_ordinals + type: boolean + default: False + example: false + description: |+ + Convert text to ordinals. Default is False. threshold: x-name: threshold type: integer From 64958281a48edc1a4816f7a9fc2ca29efffb4c91 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 11 May 2022 15:00:13 +0800 Subject: [PATCH 4163/5916] Inversnorm doc updated --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 6a2c79969..38d9a03d2 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -277,7 +277,7 @@ components: default: False example: false description: |+ - Convert text to ordinals. Default is False. + Convert text to ordinals only if text2digits_normalised parameter is True. Default is False. threshold: x-name: threshold type: integer From 9f8ba2510decb5eb941e54bd57d41dba03447c06 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 11 May 2022 19:05:00 +0800 Subject: [PATCH 4164/5916] Added TTS Wrapper updates --- voice/text-to-speech_eng.yaml | 18 ++++++++++++++++-- 1 file changed, 16 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index e0c802d2c..acad29ca1 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -311,8 +311,22 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model - - + ttn_flags: + x-name: ttn_flags + anyOf: + - type: string + - type: array + default: False + example: 1 + description: |+ + TTN Flags. No default value + wrapper_required: + x-name: wrapper_required + type: boolean + default: False + example: false + description: |+ + Parameter to decide whether preprocessing required or not securitySchemes: APIAuthorizer: type: apiKey From 2d786b2128ed45b51be25a9c9e132868672eb4be Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 11 May 2022 19:25:47 +0800 Subject: [PATCH 4165/5916] Added TTS Wrapper updates --- voice/text-to-speech_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index acad29ca1..f2902ca75 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -314,8 +314,8 @@ components: ttn_flags: x-name: ttn_flags anyOf: - - type: string - - type: array + - type: string + - type: array default: False example: 1 description: |+ From 73cbc1281c4a1dc68d22b21a321d3486ee5603c5 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 11 May 2022 19:27:30 +0800 Subject: [PATCH 4166/5916] Added TTS Wrapper updates --- voice/text-to-speech_eng.yaml | 11 +---------- 1 file changed, 1 insertion(+), 10 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index f2902ca75..f9da54f49 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -310,16 +310,7 @@ components: example: 1 description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. - **used only for the female_singaporean model - ttn_flags: - x-name: ttn_flags - anyOf: - - type: string - - type: array - default: False - example: 1 - description: |+ - TTN Flags. No default value + **used only for the female_singaporean model. wrapper_required: x-name: wrapper_required type: boolean From 03495ad4f3dd71ddf8c4718b5af541b1c996625a Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 11 May 2022 19:31:29 +0800 Subject: [PATCH 4167/5916] Added TTS Wrapper updates --- voice/text-to-speech_eng.yaml | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index f9da54f49..a1aecf986 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -311,13 +311,7 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. - wrapper_required: - x-name: wrapper_required - type: boolean - default: False - example: false - description: |+ - Parameter to decide whether preprocessing required or not + securitySchemes: APIAuthorizer: type: apiKey From d8d80e4a73de6d4edaff4e726c2c207551cd64f2 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 11 May 2022 19:33:07 +0800 Subject: [PATCH 4168/5916] Added TTS Wrapper updates --- voice/text-to-speech_eng.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index a1aecf986..10e541881 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -311,7 +311,15 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. - + ttn_flags: + x-name: ttn_flags + anyOf: + - type: string + - type: array + default: False + example: "ALL" + description: |+ + TTN Flags. No default value securitySchemes: APIAuthorizer: type: apiKey From 31edc35899dce4c57cc10a1b3756771683a50288 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 11 May 2022 19:37:11 +0800 Subject: [PATCH 4169/5916] Added TTS Wrapper updates --- voice/text-to-speech_eng.yaml | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 10e541881..9ded662d4 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -313,13 +313,18 @@ components: **used only for the female_singaporean model. ttn_flags: x-name: ttn_flags - anyOf: - - type: string - - type: array + type: array default: False - example: "ALL" + example: ["ALL"] description: |+ TTN Flags. No default value + wrapper_required: + x-name: wrapper_required + type: boolean + default: False + example: false + description: |+ + Parameter to decide whether preprocessing required or not securitySchemes: APIAuthorizer: type: apiKey From 9be68a57b6c031fcd26d83b3c7dfcf8ce29ed7d3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 12 May 2022 10:26:30 +0530 Subject: [PATCH 4170/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index dcb1befb6..1ee75d50c 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -211,9 +211,9 @@ components: input: type: object required: - - filePath + - file_path properties: - filePath: + file_path: type: string format: binary example: sample.json From febdb6971c60822ab52811f4d2ea5fe9d9862e49 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 12 May 2022 10:26:55 +0530 Subject: [PATCH 4171/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 8b5abbaa5..e763415df 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -240,9 +240,9 @@ components: input: type: object required: - - filePath + - file_path properties: - filePath: + file_path: type: string format: binary example: sample.csv From 72746197c96bcb000276d1838c533980463e56bc Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 12 May 2022 15:35:18 +0800 Subject: [PATCH 4172/5916] tts docs updated --- voice/text-to-speech_eng.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 9ded662d4..ff6d7673c 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -317,7 +317,8 @@ components: default: False example: ["ALL"] description: |+ - TTN Flags. No default value + Specifies the type of text normalisation to be applied. Accepts both string and list of strings. + Accepted string values are either "ALL" or "DEFAULT". Accepted list of strings are "PLAIN", "PUNCT", "DATE", "LETTERS", "CARDINAL", "VERBATIM", "DECIMAL", "MEASURE", "MONEY", "ORDINAL", "TIME", "ELECTRONIC", "DIGIT", "FRACTION", "TELEPHONE", "ADDRESS". No default value wrapper_required: x-name: wrapper_required type: boolean From 8130a7c3feaef008ba54498b3794ffa0c0b6ccd0 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 13 May 2022 08:59:27 +0800 Subject: [PATCH 4173/5916] TTS docs updated --- voice/text-to-speech_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index ff6d7673c..6826467ac 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -322,10 +322,10 @@ components: wrapper_required: x-name: wrapper_required type: boolean - default: False - example: false + default: True + example: true description: |+ - Parameter to decide whether preprocessing required or not + Parameter to decide whether preprocessing required or not. Default value is True securitySchemes: APIAuthorizer: type: apiKey From e1920a0da0de665d38ed77b4db704e48e06bae7a Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 13 May 2022 12:31:43 +0800 Subject: [PATCH 4174/5916] Clip added --- computer_vision/clip.yaml | 260 ++++++++++++++++++++++++++++++++++++++ index.yaml | 4 + 2 files changed, 264 insertions(+) create mode 100644 computer_vision/clip.yaml diff --git a/computer_vision/clip.yaml b/computer_vision/clip.yaml new file mode 100644 index 000000000..e54636a1c --- /dev/null +++ b/computer_vision/clip.yaml @@ -0,0 +1,260 @@ + +openapi: 3.0.1 +info: + title: Image-Text Similarity + description: |+ + This microservice is used to predict the similarity between an input image and list of text snippets and return a score corresponding to the most relevant text that matches the image. + The underlying model is built using a neural network called CLIP (Contrastive Language-Image Pre-Training) that is trained on a variety of (image, text) pairs. + version: v0.1.0 + x-subscribelink: clip + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 25, 2022" +paths: + /microservices/cv/clip/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + output: + - class: a diagram + similarity_score: 0.993 + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + output: + type: array + example: + - class: a class room + similarity_score: 1 + - class: a building + similarity_score: 0 + - class: a table + similarity_score: 0 + description: List of classes and their similarity score + items: + oneOf: + - type: object + properties: + class: + description: The class specified under the input text list + example: a class room + type: object + confidence: + description: The similarity score of the class with the input image. + example: 1 + type: float + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 25, 2022 + description: Initial version release + input: + type: object + required: + - image_base64 + - text + properties: + image_base64: + x-name: image_base64 + type: string + default: True + example: 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 + description: |+ + Input image in base64 string format. + text: + x-name: text + type: array + default: True + example: ["a classroom","a building","a table"] + description: |+ + A list of texts or classes to be compared with the input image to check similarity. + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/index.yaml b/index.yaml index d730057f4..56b2d480e 100644 --- a/index.yaml +++ b/index.yaml @@ -186,6 +186,10 @@ nlp: versions: 0.1.0: 'machine_translation_system.yaml' computer vision: + clip: + title: Image Text Similarity + versions: + 0.1.0: 'clip.yaml' object_detection: title: Object Detection versions: From ee5adac2bc974ef27f0286b2553d83edf6c70d67 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 13 May 2022 17:33:04 +0800 Subject: [PATCH 4175/5916] Clip added --- computer_vision/{clip.yaml => image_text_similarity.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename computer_vision/{clip.yaml => image_text_similarity.yaml} (100%) diff --git a/computer_vision/clip.yaml b/computer_vision/image_text_similarity.yaml similarity index 100% rename from computer_vision/clip.yaml rename to computer_vision/image_text_similarity.yaml From 11d7894603f4822a377f2c8860ccd37170396c18 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 16 May 2022 09:08:20 +0530 Subject: [PATCH 4176/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index 1ee75d50c..84babe85d 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -23,10 +23,10 @@ info: x-apidetailsdesc: |+ Converts Json file to CVS file. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - May 02, 2022" + description: "Published Date - May 16, 2022" paths: /microservices/utility/jsontocsv/v2/getresults: post: @@ -227,7 +227,7 @@ components: items: oneOf: - type: string - example: Published Date - May 02, 2022 + example: Published Date - May 16, 2022 x-details: Input parameter changed and supported to nested json. description: Latest Version v1.0.0: From c9cc9c19516e53b6db985cae12e3062cadddc492 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 16 May 2022 09:48:27 +0530 Subject: [PATCH 4177/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index e763415df..f93b55476 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Converts CSV file to JSON format. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - May 02, 2022" + description: "Published Date - May 16, 2022" paths: /microservices/utility/csvtojson/v2/getresults: post: @@ -209,7 +209,7 @@ components: items: oneOf: - type: string - example: Published Date - May 02, 2022 + example: Published Date - May 16, 2022 x-details: Input parameter changed to standard. description: Latest Version v1.0.0: From 0c63d3a6ce26ef9017a327ae29ef5c31c25a1b9e Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 16 May 2022 14:36:18 +0530 Subject: [PATCH 4178/5916] fix issues in docs --- index.yaml | 6 ++-- ...n_system.yaml => machine_translation.yaml} | 36 ++++++++++--------- 2 files changed, 22 insertions(+), 20 deletions(-) rename nlp/{machine_translation_system.yaml => machine_translation.yaml} (87%) diff --git a/index.yaml b/index.yaml index 56b2d480e..011af1e3d 100644 --- a/index.yaml +++ b/index.yaml @@ -181,10 +181,10 @@ nlp: title: Google Translate (Large File) versions: 0.1.0: 'google_translate_large_file.yaml' - machine_translation_system: - title: Machine Translation System + machine_translation: + title: Machine Translation versions: - 0.1.0: 'machine_translation_system.yaml' + 0.1.0: 'machine_translation.yaml' computer vision: clip: title: Image Text Similarity diff --git a/nlp/machine_translation_system.yaml b/nlp/machine_translation.yaml similarity index 87% rename from nlp/machine_translation_system.yaml rename to nlp/machine_translation.yaml index 7d909927d..86b7f0c32 100644 --- a/nlp/machine_translation_system.yaml +++ b/nlp/machine_translation.yaml @@ -1,27 +1,29 @@ openapi: 3.0.1 info: - title: Machine Translation System + title: Machine Translation description: |+ - A machine learning translation system supporting four official language pairs in Singapore(English, Malay, Chinese, Tamil) and supports 7 language pairs ie: - 1. English - Chinese - 2. English - Tamil - 3. Chinese - English - 4. Chinese - Malay - 5. Tamil - English - 6. Malay - English - 7. English - Malay - + This NLP microservice provides machine translation for the four official languages in Singapore (English, Malay, Chinese, Tamil). Additional language pair models can be added on. This model can also be deployed on-prem and used for future custom training. + Do ensure that your text is within **500 characters**. version: v0.1.0 x-additionalinfo: |+ - Suggested usecases: It can be used to translate text for any applications, and can be augmented to internationalize - with existing NLP microservices provided by sentient.io. - x-subscribelink: machine_translation_system + **Supported languages are:** + - zh - chinese + - en - english + - ms - malay (minangkabau) + - ta - tamil + + + **Suggested usecases:** + + It can be used to translate text for any applications, and can be augmented to internationalize + NLP microservices provided by sentient.io. + x-subscribelink: machine_translation servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 02, 2022" + description: "Published Date - May 16, 2022" paths: /microservices/nlp/translate/v0/getpredictions: post: @@ -214,7 +216,7 @@ components: items: oneOf: - type: string - example: Published Date - May 2, 2022 + example: Published Date - May 16, 2022 description: Initial version with fixes for bugs raised related to limit not being set and added error handling logic. input: type: object @@ -233,14 +235,14 @@ components: default: True example: en description: |+ - The source language of text + The source language of text (see “Additional Information” section for language codes). target: x-name: target type: string default: True example: zh description: |+ - The target language for which text to be translated + The target language for which text to be translated (see “Additional Information” section for language codes). text: x-name: text type: string From 069e42cfddb9af0fdd45d1e2fab108c3a71becfc Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 17 May 2022 07:30:55 +0530 Subject: [PATCH 4179/5916] Update sentence_ranking.yaml --- nlp/sentence_ranking.yaml | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index e8ea0bd1c..3dd15242a 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -2,13 +2,16 @@ openapi: 3.0.1 info: title: Sentence Ranking description: |+ - It takes in a set of sentences in text documnt and ranks sentences using page rank algorithm based on their importance. + This NLP microservice takes in a text blurb and ranks the sentences based on their importance score. The sentence’s score is computed by the frequency of every each word in the sentence being mentioned in other sentences (using term frequency–inverse document frequency and TextRank algorithms). - Do ensure that your text is within **5000 characters**. + This Sentence Ranking microservice is useful for extractive summaries, which involves picking up the most important phrases and sentences from the original text input and reusing those to make up the summary. In this case, the microservice will only consider sentences with a score above the mean score (of all other sentences scores) as being significant and return those sentences only. Do note that the sentences are also returned on the order of appearance within the original text. + + Do ensure that your text is within **5000 characters**. version: v0.1.0 x-additionalinfo: |+ - Suggested usecases: It can be used in text analytics to understanding importance and get a textual importance of any provided document. - x-subscribelink: sentence_ranking + **Suggested usecases:** + This Sentence Ranking microservice is useful for extractive summaries, which involves picking up the most important phrases and sentences from the original text input and reusing those to make up the summary. It can be used in text analytics as well. + x-subscribelink: text_importance_model servers: - url: 'https://dev-apis.sentient.io' tags: @@ -265,4 +268,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 2cbc7fdf6c3778c8d8e45ece7520fe29ef0fd8a2 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Tue, 17 May 2022 16:28:04 +0800 Subject: [PATCH 4180/5916] Update face_recognition.yaml --- computer_vision/face_recognition.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index c041c2d07..2e9651e2d 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -179,7 +179,8 @@ components: - type: object properties: conf: - type: float + type: number + format: float example: 0.6588699206768599 description: 0.0 to 1.0. Confidence score of identification. Higher is more confidence. identity: @@ -339,7 +340,7 @@ components: default: false example: ntu description: |+ - Name of model. + Name of model. file_type: x-name: file_type type: string From 0ea12bcb7975184cc491915c28f0e0445443a7e8 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 10:53:22 +0800 Subject: [PATCH 4181/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index e5860d7bf..5a6d7fc62 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -132,14 +132,17 @@ components: properties: sequence: type: integer + format: int32 example: 1 description: Running sequence. Starts from 1. start: type: number + format: float example: 0.64 description: Start time of utterance in seconds end: type: number + format: float example: 23.72 description: End time of utterance in seconds text: @@ -149,11 +152,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: @@ -256,17 +259,18 @@ components: wav_base64: x-name: wav_base64 type: string + format: byte default: true example: 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 description: |+ - Input wav file in base64 format. + Input .wav file in base64 format. voice_activity_detection: x-name: voice_activity_detection type: boolean default: false example: false description: |+ - Optional. Boolean value true or false to decide whether vad required or not. + Optional Parameter. Returns true or false value based on whether Voice Activity Detection (VAD) is required or not. threshold: x-name: threshold type: number @@ -274,7 +278,7 @@ components: default: false example: 0.25 description: |+ - Optional. 0.0 to 1.0. Lower will result in more sentence splits. Recommended value is 0.25. Threshold parameter required only if voice_activity_detection parameter is True. + Optional Parameter. Select from a range of 0.0 to 1.0, in which the lower value results in more sentence splits. The recommended value is 0.25. Threshold parameter is required only if voice_activity_detection parameter is true. versions: type: object From 8340ce85a1213cb11329d175cdee5ee4ee550bd3 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 14:25:37 +0800 Subject: [PATCH 4182/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 3e08a7cd6..49877b106 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -225,16 +225,18 @@ components: wav_base64: x-name: wav_base64 type: string + format: byte default: true example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... description: Input audio wav file in base64 format. sample_rate: - type: number + type: integer + format: int32 default: false example: 16000 description: - The audio sampling rate, in Hz. Valid values - 16000 and 8000. Default value - 16000. + The audio sampling rate, in Hz. Valid values are 16000 and 8000. Use 16000 for normal prepared speech and 8000 for telephony. punctuation_prediction: type: boolean default: false From 3f77bf0c2584bc2226bc9f3bbc504e8756928224 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 14:31:06 +0800 Subject: [PATCH 4183/5916] Update speaker_diarization.yaml --- voice/speaker_diarization.yaml | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/voice/speaker_diarization.yaml b/voice/speaker_diarization.yaml index b7ff986d6..cdc068fab 100644 --- a/voice/speaker_diarization.yaml +++ b/voice/speaker_diarization.yaml @@ -124,20 +124,22 @@ components: start: description: Start time in seconds example: 0.4 - type: float + type: number + format: float stop: description: Stop time in seconds example: 2.62 - type: float + type: number + format: float message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object @@ -232,20 +234,23 @@ components: wav_base64: x-name: wav_base64 type: string + format: byte default: True example: UklGRkbiBABXQVZFZm10IBAAAAABA... description: |+ Base64 string of the input audio exact_speaker_count: x-name: exact_speaker_count - type: number + type: integer + format: int32 default: False example: 2 description: |+ Number of speakers in the audio, known in advance by the user. max_speaker_count: x-name: max_speaker_count - type: number + type: integer + format: int32 default: False example: 2 description: |+ From 6f4b6940e63b4a02df6782fd27bb5253978ea1a2 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 15:05:43 +0800 Subject: [PATCH 4184/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 6826467ac..601df1ed0 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -121,11 +121,13 @@ components: sampling_rate: description: Sample rate of the output audio. Should come only for female_generic example: 16000 - type: number + type: integer + format: int32 wav_base64: - description: Base64 string of the generated audio from input text + description: Generated audio wav file encoded in base64 format example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ type: string + format: byte message: type: string From eefb4777c8cb4ee37d51d837c85956abdfcc4087 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 15:08:16 +0800 Subject: [PATCH 4185/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 601df1ed0..603b2e9af 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -297,7 +297,7 @@ components: 2. female_singaporean pitch_scale: x-name: pitch_scale - type: float + type: number format: float default: False example: 1 @@ -306,7 +306,7 @@ components: **used only for the female_singaporean model tempo_scale: x-name: tempo_scale - type: float + type: number format: float default: False example: 1 From dea8a15b1d765226ae2586c01a948d62694f5aa5 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 15:10:00 +0800 Subject: [PATCH 4186/5916] Update text_to_speech_chi.yaml --- voice/text_to_speech_chi.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/text_to_speech_chi.yaml b/voice/text_to_speech_chi.yaml index 8fc542431..841c2341d 100644 --- a/voice/text_to_speech_chi.yaml +++ b/voice/text_to_speech_chi.yaml @@ -127,8 +127,9 @@ components: description: The status of the API call success/failure audioContent: type: string + format: byte example: UklGRiQAAABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YQAAAAA= - description: Audio file converted to base64 encoded string. + description: Generated audio wav file encoded in base64 format unauthorized: type: object properties: From 7f3098240054484f00a1dfda8e805733c3aeecee Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 15:15:18 +0800 Subject: [PATCH 4187/5916] Update text_to_speech_jp.yaml --- voice/text_to_speech_jp.yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index 0abb21944..4b53bf275 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -124,9 +124,10 @@ components: example: 22050 type: number wav_base64: - description: Base64 string of the generated audio from input text + description: Generated audio wav file based on input text encoded in base64 format example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ type: string + format: byte message: type: string @@ -236,24 +237,23 @@ components: Input text to be synthesised pitch_scale: x-name: pitch_scale - type: float + type: number format: float default: False example: 0.5 description: |+ - The pitch factor for the synthesized voice. It ranges between 0.5 and 1.5 and default is 1. - 1 means default pitch, 0.5 means half pitch, 2 means twice the pitch + The pitch factor for the synthesized voice. It ranges between 0.5 and 1.5 from low to high pitch. + The default value is 1. tempo_scale: x-name: tempo_scale - type: float + type: number format: float default: False example: 0.5 description: |+ - The speed factor for the synthesized voice. It ranges between 0.5 and 2 and default is 1. - 1 means default speed, 0.5 is half speed, 2 is twice the speed - - + The speed factor for the synthesized voice. It ranges between 0.5 and 2 from slow to fast. + The default value is 1. + securitySchemes: APIAuthorizer: type: apiKey From 1a8b49f3776462bbbee521a43f9576fc8afcab1d Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 15:24:15 +0800 Subject: [PATCH 4188/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index c842cf6dc..003d1f53b 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -130,15 +130,18 @@ components: - type: object properties: end: - type: string + type: number + format: float example: 23.72 description: End time of utterance seqNum: - type: string + type: integer + format: int32 example: 1 description: Running sequence number starts from 1. start: type: number + format: float example: 0.64 description: Start time of utterance text: @@ -148,11 +151,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: @@ -267,7 +270,7 @@ components: default: false example: false description: |+ - Optional. Boolean value true or false to decide whether vad required or not + Optional Parameter. Returns true or false value based on whether Voice Activity Detection (VAD) is required or not. threshold: x-name: threshold type: number From f85aa6111bd6e6571635bbde9f84a1ad14283883 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Wed, 18 May 2022 17:06:35 +0800 Subject: [PATCH 4189/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 50 +++++++++++++++------------- 1 file changed, 26 insertions(+), 24 deletions(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index c875fc455..0f40c0689 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -110,7 +110,8 @@ components: description: The details of documents properties: docId: - type: number + type: integer + format: int32 example: 102581 description: Document ID status: @@ -120,12 +121,12 @@ components: data: type: object example: { "" } - description: The details scan document data + description: The details scan of document data properties: docsize: type: array example: [[1990,1490]] - description: An array contain the size info of tempalte + description: An array contain the size info of template items: oneOf: - type: number @@ -133,25 +134,26 @@ components: - type: number example: 1490 num_pages: - type: number + type: integer + format: int32 example: 1 - description: Total pages + description: Total Pages customer: type: string example: XYZ Buyer - description: Customer name + description: Customer Name supplier: type: string example: ABC Supplier - description: Supplier name + description: Supplier Name type: type: string example: invoice - description: Type of document + description: Type of Document invoicenumber: type: string example: INV-4412 - description: Invoice number + description: Invoice Number tabledetected: type: boolean example: True @@ -159,7 +161,7 @@ components: total: type: object example: { "" } - description: Invoice Total amount + description: Invoice Total Amount subtotal: type: object example: { "" } @@ -171,7 +173,7 @@ components: servicecharge: type: object example: { "" } - description: ServiceCharge + description: Service Charge currency: type: object example: { "" } @@ -179,7 +181,7 @@ components: billingdddress: type: object example: { "" } - description: Billing to Address + description: Billing Address email: type: object example: { "" } @@ -191,15 +193,15 @@ components: ponumber: type: object example: { "" } - description: PONumber + description: Purchase Order Number accountnumber: type: object example: { "" } - description: AccountNumber + description: Account Number accountname: type: object example: { "" } - description: AccountName + description: Account Name swiftcode: type: object example: { "" } @@ -215,35 +217,35 @@ components: shippingaddress: type: object example: { "" } - description: ShippingAddress + description: Shipping Address companyname: type: object example: { "" } - description: CompanyName + description: Company Name senderaddress: type: object example: { "" } - description: SenderAddress + description: Sender Address otheraddress: type: object example: { "" } - description: OtherAddress + description: Other Address invoicedate: type: object example: { "" } - description: InvoiceDate + description: Invoice Date paymentdate: type: object example: { "" } - description: PaymentDate + description: Payment Date otherdate: type: object example: { "" } - description: OtherDate + description: Other Date lineitems_standardheader: type: object example: { "" } - description: LineItems_standardHeader + description: Line items standard header message: type: string example: Successfully Processed @@ -348,7 +350,7 @@ components: example: upload file description: The receipt document handwritten: - type: string + type: boolean example: 'false' description: Specify handwritten true or false. Default is false securitySchemes: From c300a0dcb3e6243f7bf7fde49302ea4817c22ce3 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 17:26:15 +0800 Subject: [PATCH 4190/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 5a6d7fc62..43267a6dc 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -263,7 +263,7 @@ components: default: true example: 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 description: |+ - Input .wav file in base64 format. + Input wav file in base64 format. voice_activity_detection: x-name: voice_activity_detection type: boolean From bf3e496161fbbb773aada0338ff0012fa1e6d356 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 17:33:58 +0800 Subject: [PATCH 4191/5916] Update voice_activity_detection_eng.yaml --- voice/voice_activity_detection_eng.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/voice/voice_activity_detection_eng.yaml b/voice/voice_activity_detection_eng.yaml index 03259d400..664d5de35 100644 --- a/voice/voice_activity_detection_eng.yaml +++ b/voice/voice_activity_detection_eng.yaml @@ -241,13 +241,14 @@ components: wav_base64: x-name: wav_base64 type: string + format: bytes default: true example: UklGRkbiBABXQVZFZm10IBAAAAABA... description: |+ - Required. Input audio file in base64 format. + Required. Input audio wav file in base64 format. threshold: x-name: threshold - type: float + type: number format: float default: false example: 0.2 From 444e56b832dbbbf18ab4dfe5ee14c480c48678c2 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Wed, 18 May 2022 17:44:40 +0800 Subject: [PATCH 4192/5916] Update page_profiler_eng.yaml --- nlp/page_profiler_eng.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index 78b4b1743..8fa7b1607 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -116,24 +116,24 @@ results: type: object example: { "" } - description: Json Object of returned results + description: Json object in the returned results properties: loc: type: array example: ["Nat","Sentient.io","Home","Inte","CONTACT","Join"] - description: "name of location found in the text string" + description: Name of locations found in the text string misc: type: array example: ["Sentient.io","English"] - description: "name of misc found in the text string" + description: Name of miscellaneous entities found in the text string org: type: array example: ["Our Clients","AI","APIs","Sentient.io","Our Technology Partners","Named Entity Recognition","Our Investors"] - description: "name of org found in the text string" + description: Name of organizations found in the text string per: type: array example: ["Sentient.io","Speech","LinkedIn"] - description: "name of persons found in the text string" + description: Name of persons found in the text string message: type: string example: Successfully Processed @@ -141,7 +141,7 @@ status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 0dd1d482befbfc80d6e4c8b42be068dc41843bfa Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Wed, 18 May 2022 17:51:28 +0800 Subject: [PATCH 4193/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 32 +++++++++++++++------------- 1 file changed, 17 insertions(+), 15 deletions(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index b0ded7654..1eb1d4eda 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -1460,7 +1460,8 @@ components: description: The details of documents properties: docId: - type: number + type: integer + format: int32 example: 102581 description: Document ID status: @@ -1483,21 +1484,22 @@ components: - type: number example: 1490 num_pages: - type: number + type: integer + format: int32 example: 1 - description: Total pages + description: Total Pages customer: type: string example: XYZ Buyer - description: Customer name + description: Customer Name supplier: type: string example: ABC Supplier - description: Supplier name + description: Supplier Name type: type: string example: receipt - description: Type of document + description: Type of Document tabledetected: type: boolean example: True @@ -1505,7 +1507,7 @@ components: total: type: object example: { "" } - description: Invoice Total amount + description: Invoice Total Amount subtotal: type: object example: { "" } @@ -1517,7 +1519,7 @@ components: servicecharge: type: object example: { "" } - description: ServiceCharge + description: Service Charge currency: type: object example: { "" } @@ -1525,7 +1527,7 @@ components: billingdddress: type: object example: { "" } - description: Billing to Address + description: Billing Address email: type: object example: { "" } @@ -1537,23 +1539,23 @@ components: uennumber: type: object example: { "" } - description: UENNumber + description: UEN Number gstnumber: type: object example: { "" } - description: GSTNumber + description: GST Number senderaddress: type: object example: { "" } - description: SenderAddress + description: Sender Address otherdate: type: object example: { "" } - description: OtherDate + description: Other Date lineitems_standardheader: type: object example: { "" } - description: LineItems_standardHeader + description: Line items standard header message: type: string example: Successfully Processed @@ -1658,7 +1660,7 @@ components: example: upload file description: The receipt document handwritten: - type: string + type: boolean example: 'false' description: Specify handwritten true or false. Default is false securitySchemes: From 3e553879f5aa549790e0f3971460a6f14b0ba9e5 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Wed, 18 May 2022 17:53:22 +0800 Subject: [PATCH 4194/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 1eb1d4eda..fb740176c 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -1476,7 +1476,7 @@ components: docsize: type: array example: [[1990,1490]] - description: An array contain the size info of tempalte + description: An array contain the size info of template items: oneOf: - type: number From 949c0989ddbf3c7e0c9d1646d8aa5c7d22249830 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 18 May 2022 15:40:56 +0530 Subject: [PATCH 4195/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index fb740176c..976aeb87f 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Extracts to meaningful and structured data from Receipt docs. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 11, 2021" From 251211065fc52da0a3d23b035a634e3b9b8e400a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 18 May 2022 15:41:13 +0530 Subject: [PATCH 4196/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index 0f40c0689..923506dc4 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Extracts to meaningful and structured data from Invoice docs. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 11, 2021" From 18cfe9f5572863b6b38e93b87a0fc0c0293fdcd4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 18 May 2022 15:42:12 +0530 Subject: [PATCH 4197/5916] Update sentiment_analysis_and_sarcasm_detection.yaml --- nlp/sentiment_analysis_and_sarcasm_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/sentiment_analysis_and_sarcasm_detection.yaml b/nlp/sentiment_analysis_and_sarcasm_detection.yaml index 53d3bf29f..983de4dc1 100644 --- a/nlp/sentiment_analysis_and_sarcasm_detection.yaml +++ b/nlp/sentiment_analysis_and_sarcasm_detection.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Returns overall sentiment and confidence score for each sentiment label. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.1" description: "Published Date - Mar 28, 2022" From 049d8c91a295a1eab43d72980d025b40510b0099 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 18 May 2022 15:47:27 +0530 Subject: [PATCH 4198/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index 923506dc4..4719122a2 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -340,10 +340,9 @@ components: input: type: object required: - - file - - endpointUrl + - file_path properties: - file: + file_path: type: string format: binary default: true From 531a00432d820f00e098c7fbeaaebbbaf8098364 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 18 May 2022 15:47:56 +0530 Subject: [PATCH 4199/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 976aeb87f..db13d14c5 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -1650,10 +1650,9 @@ components: input: type: object required: - - file - - endpointUrl + - file_path properties: - file: + file_path: type: string format: binary default: true From 0aea3cc67d9b2685aa96e034ec0aba332980f13f Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 10:03:47 +0800 Subject: [PATCH 4200/5916] Update people_counting.yaml --- computer_vision/people_counting.yaml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/computer_vision/people_counting.yaml b/computer_vision/people_counting.yaml index f96d727bf..98abfb2d1 100644 --- a/computer_vision/people_counting.yaml +++ b/computer_vision/people_counting.yaml @@ -120,15 +120,18 @@ components: example: { "" } properties: counter: - type: number + type: integer + format: int32 example: 11 description: Number of people detected in video likelihood of overestimation: - type: float + type: number + format: float example: 0.76 description: How likely would there be ID spikes causing counter to increase People likelihood of underestimation: - type: float + type: number + format: float example: 0.39 description: How likely the model might miss out detecting people in the video people: From 123d74f45d68e49656bc87fbc4f96e711c59e493 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 10:13:16 +0800 Subject: [PATCH 4201/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index 26e2052b6..033ab2004 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -221,15 +221,17 @@ components: format: binary example: sample.mp4 default: true - description: The file object. + description: The file path that describes the location of the file to be converted. Supported formats: 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v. samplerate: - type: string + type: integer + format: int32 example: "16000" default: false - description: Sample rate of the audio file in Hz. That there is no set Hz range. Note that decimals and negative values are not supported. + description: Sample rate of the audio file in Hz. There is no set Hz range. Note that decimals and negative values are not supported. channel: - type: string + type: integer + format: int32 example: "1" default: false description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) From 120ca0ae229277d820e323f20996eccf10c5f743 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 10:17:13 +0800 Subject: [PATCH 4202/5916] Update document_conversion_eng.yaml --- utility/document_conversion_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml index 3bf74f394..b91fa23b0 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng.yaml @@ -238,7 +238,7 @@ components: format: binary default: true example: sample.txt - description: The file object. + description: The file path that describes the location of the file to be converted. Supported formats: docx, pdf, txt. securitySchemes: From 211482f2f44409c7f06b4997d2084815cfa2dd76 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 10:18:43 +0800 Subject: [PATCH 4203/5916] Update document_conversion_eng.yaml --- utility/document_conversion_eng.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml index b91fa23b0..1369e5832 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng.yaml @@ -239,7 +239,6 @@ components: default: true example: sample.txt description: The file path that describes the location of the file to be converted. - Supported formats: docx, pdf, txt. securitySchemes: APIAuthorizer: From 5738b6c11a418b52dd2d8a8e91577649abb21b5b Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 10:30:14 +0800 Subject: [PATCH 4204/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index 3240cf340..49aa55c85 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -241,24 +241,27 @@ components: format: binary default: true example: sample.pdf - description: Text-only PDF files are supported. Image or mixed PDF files are not recommended. + description: The file path that describes the location of the file to be converted. Text-only PDF files are supported. Image or mixed PDF files are not recommended. pageNumbers: type: string default: false example: "1,3,6" description: Page numbers, example 1,3,6. Default all pages maxPages: - type: number + type: integer + format: int32 default: false example: "3" - description: Maximum of page number. Default all pages + description: Maximum number of pages. Default all pages startPage: - type: number + type: integer + format: int32 default: false example: "1" description: Starting page number, if used endPage parameter is mandatory endPage: - type: number + type: integer + format: int32 default: false example: "5" description: End of page number, if used startPage parameter is mandatory From e2a914a9ed5a74244c83b797d4cf91ed6cb07cc2 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 10:30:37 +0800 Subject: [PATCH 4205/5916] Update page_profiler_jp.yaml --- nlp/page_profiler_jp.yaml | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/nlp/page_profiler_jp.yaml b/nlp/page_profiler_jp.yaml index e718ca5ff..ed429bb11 100644 --- a/nlp/page_profiler_jp.yaml +++ b/nlp/page_profiler_jp.yaml @@ -149,7 +149,7 @@ type: string example: - 56 - description: "age details found in the text string" + description: "Age details found in the text string" countx_other: type: array items: @@ -157,35 +157,35 @@ example: - 2稿 - 8口 - description: "countx other details found in the text string" + description: "Counts remaining unidentified entities found in the text string" doctrine_method_other: type: array items: type: string example: - 険所コホ特室りょ - description: "doctrine method in the text string" + description: "Details doctrine methods in the text string" n_event: type: array items: type: string example: - 受1 - description: "n_event in the text string" + description: "Counts number of events in the text string" numex_other: type: array items: type: string example: - 受1 - description: "numex_other details found in the text string" + description: "Details of numerical counts found in the text string" ordinal_number: type: array items: type: string example: -30弾 - description: "ordinal_number details in the text string" + description: "Details of ordinal numbers found in the text string, e.g. first, second, etc." person: type: array items: @@ -195,7 +195,7 @@ - 壮 - 琢紫 - ナユ - description: "person details found in the text string" + description: "Details persons found in the text string" product_other: type: array items: @@ -203,22 +203,22 @@ example: - 都合ヘラアニ限 - 議帳 - description: "product found in the text string" + description: "Details products found in the text string" show_organization: type: array items: type: string example: - 左成相態 - description: "organization details found in the text string" + description: "Details organisations found in the text string" message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object From 5eed2360720f363f97ff396575447387b423f222 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 11:03:44 +0800 Subject: [PATCH 4206/5916] Update page_profiler_thai.yaml --- nlp/page_profiler_thai.yaml | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/nlp/page_profiler_thai.yaml b/nlp/page_profiler_thai.yaml index 59ef619ee..524a6e7d2 100644 --- a/nlp/page_profiler_thai.yaml +++ b/nlp/page_profiler_thai.yaml @@ -170,67 +170,67 @@ - เวียดนาม - ประเทศพม่า - กัมพูชาทางทิศใต้ติดกับอ่าวไทย - description: "location found in the text string" + description: "Name of locations found in the text string" organization: x-name: organization type: array example: - รัฐสภา - description: "organization found in the text string" + description: "Name of organizations found in the text string" date: x-name: date type: array example: [2/21/2004, 16 ก.พ., จันทร์] - description: "date found in the text string" + description: "Dates found in the text string" money: x-name: money type: array example: [2.7 ล้านบาท, 2,000 บาท] - description: "amount of currency found in the text string" + description: "Amount of currency found in the text string" time: x-name: time type: array example: [16.30 น., 5 วัน, 1-3 ปี] - description: "time found in the text string" + description: "Time found in the text string" email: x-name: email type: array example: [info@nrpsc.ac.th] - description: "email id found in the text string" + description: "Email id found in the text string" len: x-name: len type: array example: [30 กิโลเมตร, 5 กม.] - description: "distance in km found in the text string" + description: "Distance in km found in the text string" person: x-name: person type: array example: [น.พ.จรัล, นางประนอม ทองจันทร์] - description: "name of person found in the text string" + description: "Name of persons found in the text string" phone: x-name: phone type: array example: [0 2670 8888] - description: "date found in the text string" + description: "Phone numbers found in the text string" url: x-name: url type: array example: [http://www.bangkokhealth.com/] - description: "url in the text string" + description: "URL found in the text string" zip: x-name: zip type: array example: [10400] - description: "zipcode found in the text string" + description: "Zipcodes found in the text string" message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 75ece7ebb5601716257852be68bbca8a5d7d19a3 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 11:22:31 +0800 Subject: [PATCH 4207/5916] Update named-entity_recognition_thai.yaml --- nlp/named-entity_recognition_thai.yaml | 30 +++++++++++++------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 20d6373fa..67b9ff7cb 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -171,77 +171,77 @@ components: results: type: object example: { "" } - description: Json Object of returned results + description: Json object in the returned results properties: law: x-name: law type: array example: [{"entity":พ.ร.บ.โรคระบาด พ.ศ.2499,"start":89,"end":96}] - description: "law details found in the text string" + description: "Law details found in the text string" location: x-name: location type: array example: [{"entity":ประเทศไทย,"start":0,"end":10},{"entity": มาเลเซีย, "start": 0, "end": 1}] - description: "location found in the text string" + description: "Name of locations found in the text string" organization: x-name: organization type: array example: [{"entity" : รัฐสภา,"start":0, "end":12}] - description: "organization found in the text string" + description: "Name of organizations found in the text string" date: x-name: date type: array example: [{"entity": 2/21/2004,"start":9,"end":15},{"entity": 16 ก.พ.,"start":6,"end":10},{"entity":จันทร์,"start":10,"end":14}] - description: "date found in the text string" + description: "Dates found in the text string" money: x-name: money type: array example: [{"entity":2.7 ล้านบาท,"start":90,"end":96}, {"entity":2,000 บาท,"start":45,"end":50}] - description: "amount of currency found in the text string" + description: "Amount of currency found in the text string" time: x-name: time type: array example: [{"entity": 16.30 น.,"start":30,"end":35},{"entity": 5 วัน,"start":45,"end":47}] - description: "time found in the text string" + description: "Time found in the text string" email: x-name: email type: array example: [{"entity":info@nrpsc.ac.th,"start":34,"end":38}] - description: "email id found in the text string" + description: "Email id found in the text string" measurement: x-name: measurement type: array example: [{"entity":30 กิโลเมตร,"start":12,"end":18},{"entity":5 กม.,"start":1,"end":5}] - description: "measurement units found in the text string" + description: "Measurement units found in the text string" person: x-name: person type: array example: [{"entity":นางประนอม ทองจันทร์,"start":56,"end":58}] - description: "name of person found in the text string" + description: "Name of persons found in the text string" phone: x-name: phone type: array example: [{"entity":8888 กิโลเมตร,"start":12,"end":16}] - description: "date found in the text string" + description: "Phone numbers found in the text string" url: x-name: url type: array example: [{"entity":http://www.bangkokhealth.com/,"start":10,"end":20}] - description: "url in the text string" + description: "Url in the text string" postal_code: x-name: postal_code type: array example: [{"entity":10400,"start":15,"end":20}] - description: "postalcode found in the text string" + description: "Postal codes found in the text string" message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 0e8385d4ba9127d501a8f6bf5809d1300413e2e4 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 11:29:07 +0800 Subject: [PATCH 4208/5916] Update named-entity_recognition_thai.yaml --- nlp/named-entity_recognition_thai.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 67b9ff7cb..503975720 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -177,32 +177,32 @@ components: x-name: law type: array example: [{"entity":พ.ร.บ.โรคระบาด พ.ศ.2499,"start":89,"end":96}] - description: "Law details found in the text string" + description: "Named documents made into laws" location: x-name: location type: array example: [{"entity":ประเทศไทย,"start":0,"end":10},{"entity": มาเลเซีย, "start": 0, "end": 1}] - description: "Name of locations found in the text string" + description: "Name of non-GPE locations, mountain ranges, bodies of waterg" organization: x-name: organization type: array example: [{"entity" : รัฐสภา,"start":0, "end":12}] - description: "Name of organizations found in the text string" + description: "Name of companies, agencies, institutions, etc" date: x-name: date type: array example: [{"entity": 2/21/2004,"start":9,"end":15},{"entity": 16 ก.พ.,"start":6,"end":10},{"entity":จันทร์,"start":10,"end":14}] - description: "Dates found in the text string" + description: "Absolute or relative dates or periods" money: x-name: money type: array example: [{"entity":2.7 ล้านบาท,"start":90,"end":96}, {"entity":2,000 บาท,"start":45,"end":50}] - description: "Amount of currency found in the text string" + description: "Monetary values, including unit" time: x-name: time type: array example: [{"entity": 16.30 น.,"start":30,"end":35},{"entity": 5 วัน,"start":45,"end":47}] - description: "Time found in the text string" + description: "Times smaller than a day" email: x-name: email type: array @@ -212,12 +212,12 @@ components: x-name: measurement type: array example: [{"entity":30 กิโลเมตร,"start":12,"end":18},{"entity":5 กม.,"start":1,"end":5}] - description: "Measurement units found in the text string" + description: "Measurement units, as of weight or distance." person: x-name: person type: array example: [{"entity":นางประนอม ทองจันทร์,"start":56,"end":58}] - description: "Name of persons found in the text string" + description: "Name of persons, including fictional" phone: x-name: phone type: array From 2d2600522b9ac2678bbe01387765694fab8c784c Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 12:07:24 +0800 Subject: [PATCH 4209/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 3f3e942e0..19b22f917 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -182,7 +182,7 @@ components: - entity: 8口 start: 79 end: 81 - description: "quantity details found in the text string" + description: "Quantity details found in the text string" other: x-name: other type: array @@ -190,7 +190,7 @@ components: - entity: 険所コホ特室りょ start: 16 end: 24 - description: "other entities" + description: "Other miscellaneous classes" measurement: x-name: measurement type: array @@ -198,7 +198,7 @@ components: - entity: 百経 start: 92 end: 94 - description: "measurement details found in the text string" + description: "Measurement units, as of weight or distance" ordinal: x-name: ordinal type: array @@ -206,7 +206,7 @@ components: - entity: 30弾 start: 0 end: 3 - description: "ordinal_number details in the text string" + description: "Ordinal numbers found in the text string, e.g 最初, 2番目, etc" person: x-name: person type: array @@ -223,7 +223,7 @@ components: - entity: ナユ start: 98 end: 100 - description: "person details found in the text string" + description: "Name of persons, including fictional" artefact: x-name: artefact type: array @@ -234,7 +234,7 @@ components: - entity: 議帳 start: 104 end: 106 - description: "artefacts found in the text string" + description: "Artefacts found in the text string" organization: x-name: organization type: array @@ -242,15 +242,15 @@ components: - entity: 左成相態 start: 172 end: 176 - description: "organization details found in the text string" + description: "Companies, agencies, institutions, etc." message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 3fa06a133e80dd6976cd2083f05b9787063026a2 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 12:07:27 +0800 Subject: [PATCH 4210/5916] Update named-entity_recognition_eng.yaml --- nlp/named-entity_recognition_eng.yaml | 28 +++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 2c642aacf..ccf059cbd 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -117,18 +117,18 @@ components: results: type: object example: { "" } - description: Json Object of returned results + description: Json object in returned results properties: person: x-name: person type: array example: [{"end": 3,"entity": "Donald Trump","start": 1}] - description: People, including fictional. + description: Name of persons, including fictional other: x-name: other type: array example: [{"entity":"Chinese","start": 1,"end": 2},{"entity":Singaporean,"start": 4,"end": 5},{"entity": Malay,"start": 6,"end": 7}] - description: Other miscellaneous classes. + description: Other miscellaneous classes facility: x-name: facility type: array @@ -148,7 +148,7 @@ components: x-name: location type: array example: [{"entity":"Asia","start": 42,"end": 43}] - description: Non-GPE locations, mountain ranges, bodies of water. + description: Non-GPE locations, mountain ranges, bodies of water product: x-name: product type: array @@ -168,7 +168,7 @@ components: x-name: law type: array example: [{"entity":the Penal Code,"start": 1,"end": 4}] - description: Named documents made into laws. + description: Named documents made into laws language: x-name: language type: array @@ -178,45 +178,45 @@ components: x-name: date type: array example: [{"entity": Tuesday,"start": 1,"end": 2}] - description: Absolute or relative dates or periods. + description: Absolute or relative dates or periods time: x-name: time type: array example: [{"entity": twenty-four hours,"start": 1,"end": 5}] - description: Times smaller than a day. + description: Times smaller than a day percent: x-name: percent type: array example: [{"entity": 91%,"start": 1,"end": 2},{"entity": 25%,"start": 2,"end": 3},{"entity": 61%,"start": 4,"end": 5}] - description: Percentage, including ”%“. + description: Percentage, including ”%“ money: x-name: money type: array example: [{"entity": up to $1000,"start": 1,"end": 4}] - description: Monetary values, including unit. + description: Monetary values, including unit quantity: x-name: quantity type: array example: [{"entity": about one degree,85 miles,137 kilometres,"start": 1,"end": 8}] - description: Measurements, as of weight or distance. + description: Measurement units, as of weight or distance ordinal: x-name: ordinal type: array example: [{"entity": ninth,"start": 1,"end": 2},{"entity": seventh,"start": 3,"end": 4},{"entity": second,"start": 5,"end": 6}] - description: “first”, “second”, etc. + description: Ordinal numbers found in the text string, e.g “first”, “second”, etc cardinal: x-name: cardinal type: array example: [{"entity": four,"start": 1,"end": 2}] - description: Numerals that do not fall under another type. + description: Numerals that do not fall under another type. message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 0c0a6232a705ddd29cc4bd441c44c78f03f9f6b5 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 12:34:33 +0800 Subject: [PATCH 4211/5916] Update script_alignment.yaml --- nlp/script_alignment.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index 5da249339..91d4e26b8 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -123,7 +123,7 @@ components: output: type: array example: [{"end": 4,"seqNum": 1,"start": 1,"text": "Hello World"},{"end": 8.2,"seqNum": 2,"start": 4.92,"text": "This is a test"},{"end": 12.04,"seqNum": 3,"start": 8.88,"text": "This is another test"}] - description: The time-coded high-quality script + description: The time-coded high-quality script. items: oneOf: - type: object @@ -147,11 +147,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call -- success/failure unauthorized: type: object properties: @@ -273,7 +273,7 @@ components: default: true example: [{"seqNum":1,"start":1.0,"end":4.0,"text":"HELLO WORLD"}] description: |+ - An ordered array of utterance struct. + An ordered array of utterance structure. items: oneOf: - type: object From aba3e1207e8085510c22ea8a7ad6e441f3e48a32 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 12:36:12 +0800 Subject: [PATCH 4212/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 38d9a03d2..11ae028b9 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -123,15 +123,15 @@ components: x-name: output type: string example: Apple said the project-financing fund was the first of its kind. Real estate developers often secure bonds for affordable housing development, but must service the debt during construction until the houses are built and start to generate revenue. Apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders. - description: Corrected input text + description: The corrected version of the input text message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status. status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call -- success/failure. unauthorized: type: object properties: From 29d04cab3dd8972496cdb30e4b5044707c52e4b7 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 12:37:28 +0800 Subject: [PATCH 4213/5916] Update script_alignment.yaml --- nlp/script_alignment.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index 91d4e26b8..a1effdc6d 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -280,7 +280,8 @@ components: properties: seqNum: x-name: seqNum - type: number + type: integer + formnat: Int32 default: true example: 1 description: |+ From 9fbf690b90a0fb69354058dc934d190756cffef4 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 12:59:58 +0800 Subject: [PATCH 4214/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 11ae028b9..3ccb300ea 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -255,7 +255,7 @@ components: default: True example: apple said the project-financing fund was the first of its kind real estate developers often secure bonds for affordable housing development but must service the debt during construction until the houses are built and start to generate revenue apple and state officials hope to provide bridge financing during construction at rates below those from commercial lenders description: |+ - Input text + The input text to be corrected. text2digits_normalised: x-name: text2digits_normalised @@ -291,4 +291,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + description: Authentication is done using the x-api-key in the request header. From 4290d92aec71bc3f1768d1a34c5d2625dda0614c Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 13:03:10 +0800 Subject: [PATCH 4215/5916] Update sentiment_analysis_and_sarcasm_detection.yaml --- nlp/sentiment_analysis_and_sarcasm_detection.yaml | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/nlp/sentiment_analysis_and_sarcasm_detection.yaml b/nlp/sentiment_analysis_and_sarcasm_detection.yaml index 983de4dc1..93a76c52b 100644 --- a/nlp/sentiment_analysis_and_sarcasm_detection.yaml +++ b/nlp/sentiment_analysis_and_sarcasm_detection.yaml @@ -117,18 +117,19 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status. status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call -- Success/Failure. results: type: object example: {} - description: Json Object of returned results + description: Json Object in the returned results properties: anger: type: number + format: float example: 0.42 description: |+ Range 0-1 @@ -140,6 +141,7 @@ components: Values between 0.48 and 0.52 are considered neutral. fear (or Anxiety): type: number + format: float example: 0.352 description: |+ Range 0-1 @@ -151,6 +153,7 @@ components: Values between 0.48 and 0.52 are considered neutral. sadness: type: number + format: float example: 0.371 description: |+ Range 0-1 @@ -162,6 +165,7 @@ components: Values between 0.48 and 0.52 are considered neutral. joy: type: number + format: float example: 0.371 description: |+ Range 0-1 @@ -173,6 +177,7 @@ components: Values between 0.48 and 0.52 are considered neutral. valence (overall sentiment): type: number + format: float example: 0.584 description: |+ Range 0-1 @@ -182,6 +187,7 @@ components: Values between 0.48 and 0.52 are considered neutral. sarcasm_result: type: number + format: float example: 0.584 description: |+ Range 0-1 From a141eacda0eb90e0b97b83891c9d3e07ffac0ea9 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 13:04:54 +0800 Subject: [PATCH 4216/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index f6f4bc615..83b9d89f1 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -114,7 +114,7 @@ components: results: type: object example: { "" } - description: Json Object of returned results + description: Json object in the returned results properties: person: x-name: person @@ -210,13 +210,13 @@ components: x-name: message type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status. status: x-name: status type: string example: Success - description: The status of the API call success/failure + description: The status of the API call -- success/failure. invalidinput: type: object properties: From 3abda5052b4d52d173d4a0273298d7c93429d581 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 13:27:04 +0800 Subject: [PATCH 4217/5916] Update taxonomy_matcher_eng.yaml --- nlp/taxonomy_matcher_eng.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/nlp/taxonomy_matcher_eng.yaml b/nlp/taxonomy_matcher_eng.yaml index 3e13602f0..3cc9f37d7 100644 --- a/nlp/taxonomy_matcher_eng.yaml +++ b/nlp/taxonomy_matcher_eng.yaml @@ -136,11 +136,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: Status of the API call -- success/failure unauthorized: type: object properties: @@ -267,6 +267,7 @@ components: threshold: x-name: threshold type: number + format: float default: true example: 1 description: |+ From 5cc7297c7e077904474ef05c044f36364fa74efc Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 13:28:11 +0800 Subject: [PATCH 4218/5916] Update taxonomy_matcher_eng.yaml --- nlp/taxonomy_matcher_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/taxonomy_matcher_eng.yaml b/nlp/taxonomy_matcher_eng.yaml index 3cc9f37d7..6218fc45c 100644 --- a/nlp/taxonomy_matcher_eng.yaml +++ b/nlp/taxonomy_matcher_eng.yaml @@ -140,7 +140,7 @@ components: status: type: string example: Success - description: Status of the API call -- success/failure + description: Status of the API call - success/failure unauthorized: type: object properties: From 0e1505791c17c5bdcd6279a63aec0c1ed4aa9d62 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 13:28:46 +0800 Subject: [PATCH 4219/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index 83b9d89f1..e55e544b0 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -14,7 +14,7 @@ info: version: '1.0.0' x-subscribelink: spacy_ner x-apitype: small file - x-apitypedescription: |+ + x-apitypedescription: |+ Fast | Single-Call | 5000 characters/Call x-inputfilelimit: |+ Process up to 5000 characters per API call. @@ -216,7 +216,7 @@ components: x-name: status type: string example: Success - description: The status of the API call -- success/failure. + description: The status of the API call - success/failure. invalidinput: type: object properties: From c899883a64ab9c3752c269e77887bbeac9343e00 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 13:29:40 +0800 Subject: [PATCH 4220/5916] Update sentiment_analysis_and_sarcasm_detection.yaml --- nlp/sentiment_analysis_and_sarcasm_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/sentiment_analysis_and_sarcasm_detection.yaml b/nlp/sentiment_analysis_and_sarcasm_detection.yaml index 93a76c52b..9ba17f45b 100644 --- a/nlp/sentiment_analysis_and_sarcasm_detection.yaml +++ b/nlp/sentiment_analysis_and_sarcasm_detection.yaml @@ -121,7 +121,7 @@ components: status: type: string example: Success - description: The status of the API call -- Success/Failure. + description: The status of the API call - Success/Failure. results: type: object example: {} From 9ab80444cc0ecd54ac1387ae0f1c258d9d59ae86 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 13:30:34 +0800 Subject: [PATCH 4221/5916] Update script_alignment.yaml --- nlp/script_alignment.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index a1effdc6d..f937b890c 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -151,7 +151,7 @@ components: status: type: string example: Success - description: The status of the API call -- success/failure + description: The status of the API call - Success/Failure unauthorized: type: object properties: From 0532bbd785741277e15bd385b854d0ac15ed5676 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 13:43:02 +0800 Subject: [PATCH 4222/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 0b952cb44..f29929fd4 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -110,26 +110,27 @@ results: type: object example: { "" } - description: Json Object of returned results + description: Json object in the returned results properties: score: type: number + format: float example: 2.2100781633414535 - description: Confidence score + description: The confidence score of the summary. text: type: string example: more than 2,000 build-to-orders have been completed by the hdb in 2015. more than 70 per cent of residents have moved into their new homes in alk by 50 per cent in bidadari .y greenrise will be the last bto to be - description: Summarised text + description: The summarised version of the input text. message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status. status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure. unauthorized: type: object properties: From 98de2859a422e97f636ebcb7244ff343979c3615 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 14:07:27 +0800 Subject: [PATCH 4223/5916] Update word_scoring_and_suggestions.yaml --- nlp/word_scoring_and_suggestions.yaml | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/nlp/word_scoring_and_suggestions.yaml b/nlp/word_scoring_and_suggestions.yaml index fe07e875a..ac830c708 100644 --- a/nlp/word_scoring_and_suggestions.yaml +++ b/nlp/word_scoring_and_suggestions.yaml @@ -131,7 +131,7 @@ components: example: { "" } properties: result: - description: Array of dictionaries, each dictionary containing a word from the input text and its probability + description: Array of dictionaries, each dictionary containing a word from the input text and its probability. example: conf: 0.1 word: how @@ -139,15 +139,16 @@ components: oneOf: - properties: conf: - description: The probability of the word in the input text + description: The probability of the word in the input text. example: 0.1 - type: float + type: number + format: float word: - description: The word in the input text + description: The word in the input text. example: how type: string suggestions: - description: The dictionary of suggested words + description: The dictionary of suggested words. example: {"where": 0.7936621904373169,"who": 0.14036813378334045} type: object type: object @@ -160,11 +161,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object @@ -274,11 +275,12 @@ components: suggestions: x-name: suggestions - type: number + type: integer + format: int32 default: False example: 2 description: |+ - Number of suggested words to be provided by the model.Default value is 2 + Number of suggested words to be provided by the model. Default value is 2. securitySchemes: From 43d081fbedabcd59f537dd97e4dad52cb02c68d5 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 14:31:54 +0800 Subject: [PATCH 4224/5916] Update word_scoring_and_suggestions.yaml --- nlp/word_scoring_and_suggestions.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/word_scoring_and_suggestions.yaml b/nlp/word_scoring_and_suggestions.yaml index ac830c708..0210b8e68 100644 --- a/nlp/word_scoring_and_suggestions.yaml +++ b/nlp/word_scoring_and_suggestions.yaml @@ -161,11 +161,11 @@ components: message: type: string example: Successfully Processed - description: Description of the API status + description: Description of the API status. status: type: string example: Success - description: The status of the API call - success/failure + description: The status of the API call - success/failure. unauthorized: type: object From d6f46a67f63e253f63a311d1b452276c14589789 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 14:31:54 +0800 Subject: [PATCH 4225/5916] Update wikipedia.yaml --- utility/wikipedia.yaml | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/utility/wikipedia.yaml b/utility/wikipedia.yaml index 888f0f8f9..0898f420f 100644 --- a/utility/wikipedia.yaml +++ b/utility/wikipedia.yaml @@ -188,7 +188,8 @@ components: format: list example: 1915 Singapore Mutiny pageid: - type: number + type: integer + format: int32 example: 27318 description: The id of the page requested summary: @@ -202,7 +203,8 @@ components: description: URL and dimensions of thumbnail image associated with page, if any. properties: height: - type: string + type: integer + format: int32 example: 333 description: Height of the thumbnail image source: @@ -210,7 +212,8 @@ components: example: https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png description: Source URL of the thumbnail image width: - type: string + type: integer + format: int32 example: 500 description: Width of the thumbnail image url: @@ -334,7 +337,8 @@ components: default: true description: The search term, highest match to the title of the Wikipedia page. Not Mandatory when pageid is given. pageid: - type: number + type: integer + format: int32 default: false example: 27318 description: The Wikipedia id of the page requested. Mandatory only when title is not given. From 3eb4525699473f46a26a8847fba2f365af9dcd9d Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 14:35:37 +0800 Subject: [PATCH 4226/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index 147342b72..ae936e903 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -243,7 +243,7 @@ components: format: binary default: true example: sample.mp4 - description: The Video file object. + description: The file path that describes the location of the file to be converted. Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. securitySchemes: From 2dae028285244ca0f20405904ccd5810ac09ba14 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 14:36:28 +0800 Subject: [PATCH 4227/5916] Update word_sense_disambiguation_eng.yaml --- nlp/word_sense_disambiguation_eng.yaml | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/nlp/word_sense_disambiguation_eng.yaml b/nlp/word_sense_disambiguation_eng.yaml index d090504a0..e1f975db8 100644 --- a/nlp/word_sense_disambiguation_eng.yaml +++ b/nlp/word_sense_disambiguation_eng.yaml @@ -145,7 +145,7 @@ components: 4: type: string example: { 4:But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power} - description: mapping value + description: The mapping value. tokens: type: object example: {"4": {"society": [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}]}} @@ -159,7 +159,7 @@ components: : type: array example: [{"hypernyms": [{"hypernym_definition": "people sharing some social relation","hypernym_name": "social_group.n.01","potential_candidate_score": 1.0}],"synset_definition": "an extended social group having a distinctive cultural and economic organization","synset_name": "society.n.01","synset_score": 0.9870249032974243,"token_index": 40}] - description: Details about the target word given as input + description: Details about the target word given as input. items: properties: hypernyms: @@ -171,15 +171,15 @@ components: hypernym_definition: type: string example: people sharing some social relation - description: Definition of the hypernym + description: Definition of the hypernym. hypernym_name: type: string example: social_group.n.01 - description: Describes the category in which the target word belongs to. Eg:car is a transport. car is the target word and transport is the category(hypernym) + description: Describes the category in which the target word belongs to. For example, car is a transport. Car is the target word and transport is the category (hypernym. potential_candidate_score: type: number example: 1 - description: Is the confidence score from the network + description: The confidence score from the network. synset_definition: type: string example: An extended social group having a distinctive cultural and economic organization @@ -187,24 +187,24 @@ components: synset_name: type: string example: society.n.01 - description: The target word name in wordnet library + description: The target word name in wordnet library. synset_score: - type: float + type: number format : float example: 0.9870249032974243 - description: Is the confidence score from the network + description: The confidence score from the network. token_index: type: number example: 40 - description: Is the target word position in the sentence + description: The target word position in the sentence. message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status. status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure. unauthorized: type: object properties: From d192a5294bb398f94768d89fb2d1528275a809b0 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 14:38:06 +0800 Subject: [PATCH 4228/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index 5bdaea579..caf070b2c 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -219,7 +219,7 @@ components: format: binary example: sample.txt default: true - description: The file object. + description: The file path that describes the location of the file to be converted. format: type: string example: "xml" From 1f0e18dbc96fef6c221830f1812e0de74a2f53fb Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 14:38:44 +0800 Subject: [PATCH 4229/5916] Update word_sense_disambiguation_eng.yaml --- nlp/word_sense_disambiguation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/word_sense_disambiguation_eng.yaml b/nlp/word_sense_disambiguation_eng.yaml index e1f975db8..1b2a7e08a 100644 --- a/nlp/word_sense_disambiguation_eng.yaml +++ b/nlp/word_sense_disambiguation_eng.yaml @@ -140,7 +140,7 @@ components: sentence_index: type: object example: {"4": "But our genius for creative storytelling , combined with our inability to detect our own ignorance , can sometimes lead to situations that are embarrassing , unfortunate , or downright dangerous \u2013 especially in a technologically advanced , complex democratic society that occasionally invests mistaken popular beliefs with immense destructive power ( See : crisis , financial ; war , Iraq ) .","7": "The society of extraordinary gentlemen has a natural way of overcoming difficulties in tough times to come out stronger , saving society from itself ."} - description: Is a mapping from an index of the sentence in the presented text (say, 0, 1, 2...) to the text of the sentence itself. + description: The index of the sentence in the presented text [say 0,1,2,3] mapped to the sentence itself. properties: 4: type: string From ba6f0cec9408964db54ae8c4226ffcfab4e89aca Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 14:41:47 +0800 Subject: [PATCH 4230/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index 84babe85d..7c28a09da 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -218,7 +218,7 @@ components: format: binary example: sample.json default: true - description: The file object. + description: The file path that describes the location of the file to be converted. versions: type: object properties: From 7bfc85d1f9aebbaa30098ac8d2dfd09822c6a35e Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 14:42:31 +0800 Subject: [PATCH 4231/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index f93b55476..37c610668 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -247,7 +247,7 @@ components: format: binary example: sample.csv default: true - description: The file object. + description: The file path that describes the location of the file to be converted. securitySchemes: APIAuthorizer: type: apiKey From 408e922e4a36b899439ab569154f6bbeec8fa968 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 14:48:34 +0800 Subject: [PATCH 4232/5916] Update d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index 2781dc315..a44f93c3f 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -1447,8 +1447,9 @@ components: properties: total_items: type: integer + format: int32 example: 1 - description: Number of subjects being enquired relating to the Run + description: Number of subjects being enquired relating to the Run. default: false subject_idno: type: string @@ -1458,7 +1459,7 @@ components: subject_name: type: string example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP + description: Subjects' name as captured in DDP. default: false versions: type: object From 24e4847f55a22f6991cde25936aad563b828467a Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 14:50:19 +0800 Subject: [PATCH 4233/5916] Update d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index a44f93c3f..ff00a262f 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -1449,7 +1449,7 @@ components: type: integer format: int32 example: 1 - description: Number of subjects being enquired relating to the Run. + description: Number of subjects being enquired relating to the search. default: false subject_idno: type: string From d4c8aa913f5161e23e81d7ad175c6bf116814e97 Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 19 May 2022 14:59:21 +0800 Subject: [PATCH 4234/5916] clip subscribe link name filename changed --- computer_vision/image_text_similarity.yaml | 2 +- index.yaml | 10 +++++----- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/computer_vision/image_text_similarity.yaml b/computer_vision/image_text_similarity.yaml index e54636a1c..1c63e5c62 100644 --- a/computer_vision/image_text_similarity.yaml +++ b/computer_vision/image_text_similarity.yaml @@ -6,7 +6,7 @@ info: This microservice is used to predict the similarity between an input image and list of text snippets and return a score corresponding to the most relevant text that matches the image. The underlying model is built using a neural network called CLIP (Contrastive Language-Image Pre-Training) that is trained on a variety of (image, text) pairs. version: v0.1.0 - x-subscribelink: clip + x-subscribelink: image_text_similarity x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 5 MB/Call diff --git a/index.yaml b/index.yaml index 011af1e3d..f969d845d 100644 --- a/index.yaml +++ b/index.yaml @@ -181,15 +181,15 @@ nlp: title: Google Translate (Large File) versions: 0.1.0: 'google_translate_large_file.yaml' - machine_translation: - title: Machine Translation + machine_translation_system: + title: Machine Translation System versions: - 0.1.0: 'machine_translation.yaml' + 0.1.0: 'machine_translation_system.yaml' computer vision: - clip: + image_text_similarity: title: Image Text Similarity versions: - 0.1.0: 'clip.yaml' + 0.1.0: 'image_text_similarity.yaml' object_detection: title: Object Detection versions: From cd2fff44d8fa2a3cce99d348b0e4ad9c2693b519 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 15:34:52 +0800 Subject: [PATCH 4235/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index 1287d97cb..0f1441492 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -1574,8 +1574,9 @@ components: properties: total_items: type: integer + format: int32 example: 1 - description: Number of subjects being enquired relating to the Run + description: Number of subjects being enquired relating to the search. default: false subject_idno: type: string From 29a9c0e986fc451b247324a253800593232171c2 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 15:38:49 +0800 Subject: [PATCH 4236/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index fa5ff57c0..8638475cd 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -2460,6 +2460,7 @@ components: properties: total_items: type: integer + format: int32 example: 1 description: Number of subjects being enquired relating to the Run default: false From 82a859e3f70f6f675294979ebf23abb5db4c0310 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 15:42:22 +0800 Subject: [PATCH 4237/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index 8638475cd..0d490b63d 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -2462,7 +2462,7 @@ components: type: integer format: int32 example: 1 - description: Number of subjects being enquired relating to the Run + description: Number of subjects being enquired relating to the search. default: false subject_idno: type: string @@ -2472,7 +2472,7 @@ components: subject_name: type: string example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP + description: Subject's name as captured in DDP. default: false versions: type: object From 657d9e4f39820268f17d4e3c121c2100598d632d Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 15:51:07 +0800 Subject: [PATCH 4238/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index 0d490b63d..3f1412e0a 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -982,7 +982,7 @@ components: example: "Employee Size" AMOUNT: type: integer - description: Number of employee + description: Number of employees example: 300 LIST_BIZ_BRANCH : type: array From bb8f001181f67e17b6579ee5515139bf1ceb71c1 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 16:01:41 +0800 Subject: [PATCH 4239/5916] Update directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 25 ++++++++++++----------- 1 file changed, 13 insertions(+), 12 deletions(-) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index b8b0b1ab4..b02e96ade 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -255,43 +255,44 @@ components: results: type: object example: { "" } - description: Json Object of returned results + description: Json object of returned results. properties: total: type: integer example: 986 - description: Total number of records + description: Total number of records. max_score: type: integer example: 1 - description: The highest score value + description: The highest score value. hits: type: array example: [ { "" } - description: Json Object of returned hits + description: Json object of returned hits. properties: type: type: string @@ -307,7 +308,7 @@ components: example: singapore createddate: type: string - description: Record first release date on sentient + description: Record first release date on sentient. example: '2018-12-31' name: type: string @@ -316,7 +317,7 @@ components: logo: type: object example: { "" } - description: List of logo from various content providers like f6s, e27, techinasia + description: List of logo from various content providers like f6s, e27, techinasia. properties: : type: string @@ -330,7 +331,7 @@ components: : type: object example: { "" } - description: Directory details from the content provider like f6s, e27, techinasia + description: Directory details from the content provider like f6s, e27, techinasia. properties: sourceurl: type: string From f8439e8a060ebc911a828f2bb89023523289d703 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 16:51:29 +0800 Subject: [PATCH 4240/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 41 ++++++++++++++------------- 1 file changed, 22 insertions(+), 19 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 9a5650aa4..1b6f13466 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -178,11 +178,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status. status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - Success/Failure. scroll_id: type: string example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== @@ -190,57 +190,60 @@ components: results: type: object example: {} - description: Json Object of returned results + description: Json object of the returned results. properties: max_score: - type: float + type: number + format: float example: 0.9 - description: The highest score value + description: The highest score value. total: type: object example: {} - description: Json Object of returned total + description: Json object of returned total. properties: relation: type: string example: eq - description: Realtion between total counts and display result count. + description: Relation between total counts and display result count. value: type: integer + format: int32 example: 1 - description: Total number of records + description: Total number of records. hits: type: array example: [{} - description: Json Object of returned hits + description: Json object of returned hits. properties: properties: type: object example: {} - description: Json Object of returned results + description: Json object of returned results. properties: featid: type: integer @@ -253,11 +256,11 @@ components: quality: type: string example: "FULLY VISIBLE" - description: Quality of Properties + description: Quality of Properties. type: type: string example: "HARDCOURT" - description: Property Types + description: Property Types. inc_crc: type: string example: "6CBA10726FCF8D23" @@ -268,7 +271,7 @@ components: description: fmel_upd_d geometry: type: geo_shape - description: Location coordinates and its type + description: Location coordinates and its type. example: {"type": "Polygon", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} lastupdated: type: string @@ -276,7 +279,7 @@ components: example: "2021-07-26T04:24:16.409Z" geometry_type: type: string - description: Type of Geometry Coordinates + description: Type of Geometry Coordinates. example: "Polygon" unauthorized: type: object From 414dd431de7bd22b937b8bba82f389f7f8ffc6e1 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 16:54:11 +0800 Subject: [PATCH 4241/5916] Update hdb_amenities_score.yaml --- data/hdb_amenities_score.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/hdb_amenities_score.yaml b/data/hdb_amenities_score.yaml index 070e8feca..1b8300397 100644 --- a/data/hdb_amenities_score.yaml +++ b/data/hdb_amenities_score.yaml @@ -129,15 +129,18 @@ components: lat: description: Latitude example: 1.310163061 - type: float + type: number + format: float lon: description: Longitude example: 103.7870838 - type: float + type: number + format: float postalcode: description: Postal Code example: 270018 type: integer + format: int32 block: description: HDB Block example: '18' @@ -145,23 +148,28 @@ components: chas_score: description: Score denoting the accessibility of the input postalcode area with respect to chas example: 29.5454545455 - type: float + type: number + format: float gym_score: description: Score denoting the accessibility of the input postalcode area with respect to gym example: 5.1282051282 - type: float + type: number + format: float hawker_score: description: Score denoting the accessibility of the input postalcode area with respect to hawker centres example: 33.3333333333 - type: float + type: number + format: float mrt_score: description: Score denoting the accessibility of the input postalcode area with respect to mrt example: 22.2222222222 - type: float + type: number + format: float overall_amenity_score: description: Overall amenity score example: 29.1585729086 - type: float + type: number + format: float preschool_score: description: Score denoting the accessibility of the input postalcode area with respect to pre schools example: 22.2222222222 From feab3bd5d40dbc4581c8eea4e66480fc4cd0d5bb Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 16:55:52 +0800 Subject: [PATCH 4242/5916] Update object_detection.yaml --- computer_vision/object_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/object_detection.yaml b/computer_vision/object_detection.yaml index 821eacb81..d316ba8e2 100644 --- a/computer_vision/object_detection.yaml +++ b/computer_vision/object_detection.yaml @@ -164,11 +164,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description on the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 7622b0e46cbc64b6049841bc88baab08f2807c5d Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 19 May 2022 16:59:17 +0800 Subject: [PATCH 4243/5916] Update hdb_amenities_score.yaml --- data/hdb_amenities_score.yaml | 29 +++++++++++++++-------------- 1 file changed, 15 insertions(+), 14 deletions(-) diff --git a/data/hdb_amenities_score.yaml b/data/hdb_amenities_score.yaml index 1b8300397..9ea156a4e 100644 --- a/data/hdb_amenities_score.yaml +++ b/data/hdb_amenities_score.yaml @@ -127,12 +127,12 @@ components: example: { "" } properties: lat: - description: Latitude + description: Latitude in the WGS84 coordinate format. example: 1.310163061 type: number format: float lon: - description: Longitude + description: Longitude in the WGS84 coordinate format. example: 103.7870838 type: number format: float @@ -146,55 +146,56 @@ components: example: '18' type: string chas_score: - description: Score denoting the accessibility of the input postalcode area with respect to chas + description: Score denoting the accessibility of the input postalcode area with respect to chas. example: 29.5454545455 type: number format: float gym_score: - description: Score denoting the accessibility of the input postalcode area with respect to gym + description: Score denoting the accessibility of the input postalcode area with respect to gym. example: 5.1282051282 type: number format: float hawker_score: - description: Score denoting the accessibility of the input postalcode area with respect to hawker centres + description: Score denoting the accessibility of the input postalcode area with respect to hawker centres. example: 33.3333333333 type: number format: float mrt_score: - description: Score denoting the accessibility of the input postalcode area with respect to mrt + description: Score denoting the accessibility of the input postalcode area with respect to MRT. example: 22.2222222222 type: number format: float overall_amenity_score: - description: Overall amenity score + description: Overall amenity score. example: 29.1585729086 type: number format: float preschool_score: - description: Score denoting the accessibility of the input postalcode area with respect to pre schools + description: Score denoting the accessibility of the input postalcode area with respect to pre schools. example: 22.2222222222 type: float street_name: - description: Score denoting the accessibility of the input postalcode area with respect to streets + description: Score denoting the accessibility of the input postalcode area with respect to streets. example: GHIM MOH ROAD type: string supermarket_score: - description: Score denoting the accessibility of the input postalcode area with respect to supermarkets + description: Score denoting the accessibility of the input postalcode area with respect to supermarkets. example: 62.5 - type: float + type: number + format: float town: - description: Score denoting the accessibility of the input postalcode area with respect to towns + description: Score denoting the accessibility of the input postalcode area with respect to towns. example: QUEENSTOWN type: string message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status. status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - Success/Failure. unauthorized: type: object From 8b9316b18456277584122f330e63fbb14125ecee Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 17:02:27 +0800 Subject: [PATCH 4244/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index 4719122a2..5ad2fed41 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -209,7 +209,7 @@ components: iban: type: object example: { "" } - description: IBAN + description: International Bank Account Number freight: type: object example: { "" } @@ -249,11 +249,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: @@ -346,8 +346,8 @@ components: type: string format: binary default: true - example: upload file - description: The receipt document + example: {'file_path':('upload file',open('upload file','rb'),'application/octet-stream')} + description: The file path that describes the location of the receipt document. handwritten: type: boolean example: 'false' From e707c0b7895b7180854ae3826b28dc8f47bce576 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 17:03:22 +0800 Subject: [PATCH 4245/5916] Update face_recognition.yaml --- computer_vision/face_recognition.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index 2e9651e2d..d5503b161 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -198,11 +198,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object From 60a11b47d747f974f8527810e80d8ba8ae505363 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 17:04:21 +0800 Subject: [PATCH 4246/5916] Update person_reidentification.yaml --- computer_vision/person_reidentification.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/person_reidentification.yaml b/computer_vision/person_reidentification.yaml index 507ea850f..5eb4bbe96 100644 --- a/computer_vision/person_reidentification.yaml +++ b/computer_vision/person_reidentification.yaml @@ -168,11 +168,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object From c96522d89224ef6f295381e228614957b118db75 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 17:06:07 +0800 Subject: [PATCH 4247/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index db13d14c5..313e99bf6 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -1559,11 +1559,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: @@ -1656,8 +1656,8 @@ components: type: string format: binary default: true - example: upload file - description: The receipt document + example: {'file_path':('upload file',open('upload file','rb'),'application/octet-stream')} + description: The file path that describes the location of the receipt document. handwritten: type: boolean example: 'false' From 221d7c31262bbfa969a2f8c0035bdf05989be697 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 19 May 2022 17:25:51 +0800 Subject: [PATCH 4248/5916] Update landmark_recognition_sg.yaml --- computer_vision/landmark_recognition_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/landmark_recognition_sg.yaml b/computer_vision/landmark_recognition_sg.yaml index 6e9fedafa..defa2c5b8 100644 --- a/computer_vision/landmark_recognition_sg.yaml +++ b/computer_vision/landmark_recognition_sg.yaml @@ -138,11 +138,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure From 61be1a30b5e3c31967195b340aa88749cf0dd921 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 19 May 2022 15:00:36 +0530 Subject: [PATCH 4249/5916] :bug: fix navbar broken link --- index.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index f969d845d..c1a281203 100644 --- a/index.yaml +++ b/index.yaml @@ -181,10 +181,10 @@ nlp: title: Google Translate (Large File) versions: 0.1.0: 'google_translate_large_file.yaml' - machine_translation_system: - title: Machine Translation System + machine_translation: + title: Machine Translation versions: - 0.1.0: 'machine_translation_system.yaml' + 0.1.0: 'machine_translation.yaml' computer vision: image_text_similarity: title: Image Text Similarity From f404d391f939dd0b5c761da1bc0b3482f241c33d Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 19 May 2022 15:08:46 +0530 Subject: [PATCH 4250/5916] Update machine_translation.yaml --- nlp/machine_translation.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/nlp/machine_translation.yaml b/nlp/machine_translation.yaml index 86b7f0c32..db50fc7a2 100644 --- a/nlp/machine_translation.yaml +++ b/nlp/machine_translation.yaml @@ -7,17 +7,17 @@ info: Do ensure that your text is within **500 characters**. version: v0.1.0 x-additionalinfo: |+ - **Supported languages are:** + **Supported languages are:** - zh - chinese - en - english - ms - malay (minangkabau) - ta - tamil - **Suggested usecases:** - - It can be used to translate text for any applications, and can be augmented to internationalize - NLP microservices provided by sentient.io. + **Suggested usecases:** + + It can be used to translate text for any applications, and can be augmented to internationalize + NLP microservices provided by sentient.io. x-subscribelink: machine_translation servers: - url: 'https://dev-apis.sentient.io' From 6b7fb083cdb9973facecc6edb80957129a79495f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 20 May 2022 10:31:36 +0530 Subject: [PATCH 4251/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 9fbe63f0e..d4e8aeb11 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -27,7 +27,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Feb 18, 2022" @@ -133,7 +133,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 8334a5e7373b0f8af026fab2020a8cd1e5905b32 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 14:35:38 +0800 Subject: [PATCH 4252/5916] Update landmark_recognition_sg.yaml --- computer_vision/landmark_recognition_sg.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/computer_vision/landmark_recognition_sg.yaml b/computer_vision/landmark_recognition_sg.yaml index defa2c5b8..fda1c12f9 100644 --- a/computer_vision/landmark_recognition_sg.yaml +++ b/computer_vision/landmark_recognition_sg.yaml @@ -127,9 +127,10 @@ components: properties: confidence: x-name: confidence - type: string - example: 100% - description: Confidence score of identification. Higher is more confidence. + type: integer + format: int32 + example: '100' + description: The confidence score of identification starts from 0. 100 is the maximum confidence score. landmark: x-name: landmark type: string From f02c9168e7dc2a52d4b6a6e7b0d1b5c73322161d Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 14:37:07 +0800 Subject: [PATCH 4253/5916] Update landmark_recognition_jp.yaml --- computer_vision/landmark_recognition_jp.yaml | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/computer_vision/landmark_recognition_jp.yaml b/computer_vision/landmark_recognition_jp.yaml index c3209f317..7c95154c5 100644 --- a/computer_vision/landmark_recognition_jp.yaml +++ b/computer_vision/landmark_recognition_jp.yaml @@ -125,9 +125,10 @@ components: properties: confidence: x-name: confidence - type: string - example: 100% - description: Confidence score of identification. Higher is more confidence. + type: integer + format: int32 + example: '100' + description: The confidence score of identification starts from 0. 100 is the maximum confidence score. landmark: x-name: landmark type: string @@ -136,11 +137,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure From 7f6d9c892747e54729b09c7a84328e8a4ec801b7 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 14:37:57 +0800 Subject: [PATCH 4254/5916] Update demographics_classification.yaml --- computer_vision/demographics_classification.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/demographics_classification.yaml b/computer_vision/demographics_classification.yaml index 37bced43f..0bacbe95f 100644 --- a/computer_vision/demographics_classification.yaml +++ b/computer_vision/demographics_classification.yaml @@ -184,11 +184,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object From c891a200ec1f2aa21c53774e35b568774aaab23a Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 20 May 2022 15:01:21 +0800 Subject: [PATCH 4255/5916] fsod yaml updated --- computer_vision/few_shots_object_detection.yaml | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 48b08815b..2d8a04b55 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -2,8 +2,17 @@ openapi: 3.0.1 info: title: Few Shots Object Detection description: |+ - This computer vision microservice generates a list of bounding boxes in the input query image. The bounding boxes are instances of the objects in the input set of support images. - The size of your image file should **not exceed 5 MB**. + This Computer Vision microservice detects a single user-defined object class in the input query image and returns detected objects and their bounding boxes in the image coordinates. + + The object class is defined by the user with a set of support images. Each support image should be tightly cropped to the relevant part of the objects. E.g. To detect car tyres, cropped away other parts of the car; with only the tyre visible. + + The size of your image files should not exceed 5 MB, and the image dimension should be at least 416x416 pixels. + x-additionalinfo: |+ + To improve object detection accuracy: + + - ensure that the support images are of the same orientation as how it should appear in the query image + - crop out all unnecessary elements (such as a busy background) from the support images + - ensure that the support images are variations of the same object, and not images of multiple (different) objects. version: v0.1.0 x-subscribelink: few_shots_object_detection x-apitype: small file From e5e066ca6f35424fb1a3fdf1f8ccacc98efdba94 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 15:11:25 +0800 Subject: [PATCH 4256/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index 033ab2004..37a4554e2 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -125,11 +125,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 965e9c19ff9b8e373eb298ce27b4ec1408cf817c Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 15:12:56 +0800 Subject: [PATCH 4257/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index 200f592b4..cc9ce82bb 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -181,11 +181,11 @@ components: message: type: string example: successfully processed - description: Detail description on the API status + description: Description of the API status status: type: string example: success - description: The status of the API call success/failure + description: The status of the API call - success/failure results: type: object example: {"data": "text content of the webpage","dataList": [{ "title": "imagelinks", "findType": "find_all", "tag": "img", "attribute": "src" }]} From 40c76ec9eee111cd7c9e0c20a3fce70fff9a897e Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 15:13:52 +0800 Subject: [PATCH 4258/5916] Update document_conversion_eng.yaml --- utility/document_conversion_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml index 1369e5832..c2ccd0e34 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng.yaml @@ -123,11 +123,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From fdcf0a42e4d30210ce0043445df11002096fbd75 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 15:15:01 +0800 Subject: [PATCH 4259/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index 49aa55c85..6e1db943c 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -130,11 +130,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure extracted_details: type: string example: "[1, 3] pages are Extracted...." From 36cb0b64fada69e59180ffb5ee27ce7982674f46 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 15:15:44 +0800 Subject: [PATCH 4260/5916] Update newspaper_article_scraper.yaml --- utility/newspaper_article_scraper.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/newspaper_article_scraper.yaml b/utility/newspaper_article_scraper.yaml index ff40775dc..acba9870a 100644 --- a/utility/newspaper_article_scraper.yaml +++ b/utility/newspaper_article_scraper.yaml @@ -223,11 +223,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 52d017e5ca98c823a50358ba9849cbcb437e0ef1 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 20 May 2022 15:35:24 +0800 Subject: [PATCH 4261/5916] fsod yaml updated --- computer_vision/few_shots_object_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 2d8a04b55..a8f87cc13 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -45,7 +45,7 @@ paths: $ref: '#/components/schemas/success' example: results: - output: {"bounding box": {"bottom": 513,"left": 65,"right": 311,"top": 377},"confidence": 0.9715367555618286} + output: {"bounding box": {"top": 377,"right": 311,"bottom": 513,"left": 65,},"confidence": 0.9715367555618286} message: Successfully Processed status: Success From 6105731804c0355a9d6a714d75451e33e7e1d57a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 20 May 2022 13:49:44 +0530 Subject: [PATCH 4262/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 49877b106..738a63e71 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Feb 18, 2022" From b8b2bf85c18af4ebce7ac2c101f17d395e64dbd6 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 17:03:24 +0800 Subject: [PATCH 4263/5916] Update urls_retrieval.yaml --- utility/urls_retrieval.yaml | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/utility/urls_retrieval.yaml b/utility/urls_retrieval.yaml index af62e75fa..d5cb2f70a 100644 --- a/utility/urls_retrieval.yaml +++ b/utility/urls_retrieval.yaml @@ -122,7 +122,7 @@ components: message: type: string example: Successfully Processed - description: Response message + description: Description of the API status results: type: object example: {} @@ -151,7 +151,7 @@ components: status: type: string example: Success - description: API success call. + description: The status of the API call - success/failure unauthorized: type: object properties: @@ -269,15 +269,17 @@ components: example: https://www.sentient.io/ja/ description: url depth: - type: number + type: integer + format: int32 example: "2" default: false - description: Default is 0. + description: The number of pages away from the landing page to retrieve URLs from. Default is 0. numberofurls: - type: number + type: integer + format: int32 example: "10" default: false - description: Default value is 100. + description: The number of URLs from each depth. Default value is 100. securitySchemes: APIAuthorizer: type: apiKey From bba2c5b53fd36f191a57b25ff139983a2b85dcd2 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 17:04:19 +0800 Subject: [PATCH 4264/5916] Update wikipedia.yaml --- utility/wikipedia.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/wikipedia.yaml b/utility/wikipedia.yaml index 0898f420f..46e8bcf62 100644 --- a/utility/wikipedia.yaml +++ b/utility/wikipedia.yaml @@ -223,11 +223,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 88f758b8809ee753b1f8f6746e6bfeec117b334c Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 17:08:10 +0800 Subject: [PATCH 4265/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index 5ad2fed41..fd438fee5 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -346,7 +346,7 @@ components: type: string format: binary default: true - example: {'file_path':('upload file',open('upload file','rb'),'application/octet-stream')} + example: upload file description: The file path that describes the location of the receipt document. handwritten: type: boolean From 25d1b692e0c52a63004ee6b94a01525518c6ec3e Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 17:08:37 +0800 Subject: [PATCH 4266/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 313e99bf6..6fa7c98b2 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -1656,7 +1656,7 @@ components: type: string format: binary default: true - example: {'file_path':('upload file',open('upload file','rb'),'application/octet-stream')} + example: upload file description: The file path that describes the location of the receipt document. handwritten: type: boolean From 686359bba2f499586321ae000d71df26eb1e374f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 20 May 2022 14:51:09 +0530 Subject: [PATCH 4267/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 738a63e71..0939d359f 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -255,6 +255,12 @@ components: example: false description: Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. + enable_words: + type: boolean + default: false + example: false + description: + Specifies whether to return the information about words. Default value false. versions: type: object properties: From 4da9a24dc9a9b0ccba51f169de0cc1e281d2e0c6 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 20 May 2022 17:56:43 +0800 Subject: [PATCH 4268/5916] JP ner yaml updated --- nlp/named-entity_recognition_jp.yaml | 210 +++++++++++++++++++++++---- 1 file changed, 180 insertions(+), 30 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 19b22f917..57b2bc3ec 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -171,26 +171,79 @@ components: type: object example: { "" } description: Json Object of returned results - properties: - quantity: - x-name: quantity + properties: + academia: + x-name: academia type: array - example: - - entity: 2稿 - start: 33 - end: 35 - - entity: 8口 - start: 79 - end: 81 - description: "Quantity details found in the text string" - other: - x-name: other + description: "Academic field, school, method of art or science" + animal: + x-name: animal type: array - example: - - entity: 険所コホ特室りょ - start: 16 - end: 24 - description: "Other miscellaneous classes" + description: "Animals (includes insects, birds, reptiles, mammals and fishes, etc)" + color: + x-name: color + type: array + description: "Color" + culture: + x-name: culture + type: array + description: "Culture, civilization, or art" + date: + x-name: date + type: array + description: "Expression of a date" + disease: + x-name: date + type: array + description: "Disease or injury" + entertainment: + x-name: entertainment + type: array + description: "Entertainment activity (including shows performed on stage) or objects (including physical or video games)" + event: + x-name: event + type: array + description: "Event, festival, occasion or phenomenon" + email: + x-name: email + type: array + description: "Email address" + facility: + x-name: facility + type: array + description: "Place or building that provides a particular service (including hotels, airports, stations, etc) " + food: + x-name: food + type: array + description: "Food, dish or drink" + financial_product: + x-name: financial_product + type: array + description: "Financial products such as stocks or shares" + geopolitical: + x-name: geopolitical + type: array + description: "Geopolitical entitity (including countries, cities, states, etc)" + identification_number: + x-name: identification_number + type: array + description: "Identification number. These can be personal identification numbers (e.g. passport number, driver’s license number or uniform number) or service identification numbers (e.g. flight number, vehicle number) " + language: + x-name: language + type: array + description: "Language, language family or dialect" + law: + x-name: law + type: array + description: "Law, statute, article or order" + location: + x-name: location + type: array + description: "Place or location (including non-geopolitical entities)" + media: + x-name: media + type: array + description: "Physical media (e.g. print, video record), production (e.g. animation, music video, television advertisement, television show, movie) or broadcast programs (e.g. television & radio)" measurement: x-name: measurement type: array @@ -198,7 +251,27 @@ components: - entity: 百経 start: 92 end: 94 - description: "Measurement units, as of weight or distance" + description: "Various measurement units (including length, weight, area, volume, temperature, etc)" + medicine: + x-name: medicine + type: array + description: "Drug used to diagnose, cure and treat" + money: + x-name: money + type: array + description: "Currency or physical representation of money (e.g. bill, banknote, or coin)" + musical_instrument: + x-name: musical_instrument + type: array + description: "Musical instrument" + identity_groups: + x-name: identity_groups + type: array + description: "Nationalities, religious, ethnic and political groups" + natural_object: + x-name: natural_object + type: array + description: "Natural object or material (including chemical compounds, mineral and living things)" ordinal: x-name: ordinal type: array @@ -206,7 +279,31 @@ components: - entity: 30弾 start: 0 end: 3 - description: "Ordinal numbers found in the text string, e.g 最初, 2番目, etc" + description: "Expression of order (e.g. "first", "second", etc)" + offense: + x-name: offense + type: array + description: "Act of crime or rap" + organization: + x-name: organization + type: array + example: + - entity: 左成相態 + start: 172 + end: 176 + description: "Companies, agencies or institutions" + other: + x-name: other + type: array + example: + - entity: 険所コホ特室りょ + start: 16 + end: 24 + description: "All other miscellaneous classes" + percent: + x-name: percent + type: array + description: "Percentage" person: x-name: person type: array @@ -223,9 +320,13 @@ components: - entity: ナユ start: 98 end: 100 - description: "Name of persons, including fictional" - artefact: - x-name: artefact + description: "People, including fictional" + phone: + x-name: phone + type: array + description: "Phone or fax number" + product: + x-name: product type: array example: - entity: 都合ヘラアニ限 @@ -234,15 +335,64 @@ components: - entity: 議帳 start: 104 end: 106 - description: "Artefacts found in the text string" - organization: - x-name: organization + description: "Thing, object or product produced by human beings" + quantity: + x-name: quantity type: array example: - - entity: 左成相態 - start: 172 - end: 176 - description: "Companies, agencies, institutions, etc." + - entity: 2稿 + start: 33 + end: 35 + - entity: 8口 + start: 79 + end: 81 + description: "Expression of count or quantification" + relationship: + x-name: relationship + type: array + description: "Family lineage, pedigree or blood relationship" + stock_index: + x-name: stock_index + type: array + description: "Stock market index" + technology: + x-name: technology + type: array + description: "Software, computer program, library, web application, or programming language" + time: + x-name: time + type: array + description: "Expression that refers to a point in time or period" + title: + x-name: title + type: array + description: "Name of title, position, occupation or position that indicates person's status" + url: + x-name: url + type: array + description: "Web address or Universal Resource Locator (URL)" + vehicle: + x-name: vehicle + type: array + description: "Vehicle, including train, ship and aircraft" + work_of_art: + x-name: work_of_art + type: array + description: "Music, songs, books, paintings and any other form of written or verbal work" + weapon: + x-name: weapon + type: array + description: "Weapon, arm or armament" + postal_code: + x-name: vehicle + type: array + description: "Postal address that includes a lot number, street number, house number or zip code" + + + + + + message: type: string example: Successfully Processed From 7e7301f8a894090a93bc87a1e9c19290a3c6f626 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 20 May 2022 18:02:44 +0800 Subject: [PATCH 4269/5916] JP ner yaml updated --- nlp/named-entity_recognition_jp.yaml | 91 +++++++++++++--------------- 1 file changed, 43 insertions(+), 48 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 57b2bc3ec..38582a289 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -193,7 +193,7 @@ components: type: array description: "Expression of a date" disease: - x-name: date + x-name: disease type: array description: "Disease or injury" entertainment: @@ -228,6 +228,10 @@ components: x-name: identification_number type: array description: "Identification number. These can be personal identification numbers (e.g. passport number, driver’s license number or uniform number) or service identification numbers (e.g. flight number, vehicle number) " + identity_groups: + x-name: identity_groups + type: array + description: "Nationalities, religious, ethnic and political groups" language: x-name: language type: array @@ -248,9 +252,9 @@ components: x-name: measurement type: array example: - - entity: 百経 - start: 92 - end: 94 + - entity: 百経 + start: 92 + end: 94 description: "Various measurement units (including length, weight, area, volume, temperature, etc)" medicine: x-name: medicine @@ -263,11 +267,7 @@ components: musical_instrument: x-name: musical_instrument type: array - description: "Musical instrument" - identity_groups: - x-name: identity_groups - type: array - description: "Nationalities, religious, ethnic and political groups" + description: "Musical instrument" natural_object: x-name: natural_object type: array @@ -276,9 +276,9 @@ components: x-name: ordinal type: array example: - - entity: 30弾 - start: 0 - end: 3 + - entity: 30弾 + start: 0 + end: 3 description: "Expression of order (e.g. "first", "second", etc)" offense: x-name: offense @@ -288,17 +288,17 @@ components: x-name: organization type: array example: - - entity: 左成相態 - start: 172 - end: 176 + - entity: 左成相態 + start: 172 + end: 176 description: "Companies, agencies or institutions" other: x-name: other type: array example: - - entity: 険所コホ特室りょ - start: 16 - end: 24 + - entity: 険所コホ特室りょ + start: 16 + end: 24 description: "All other miscellaneous classes" percent: x-name: percent @@ -308,18 +308,18 @@ components: x-name: person type: array example: - - entity: くぼ - start: 24 - end: 26 - - entity: 壮 - start: 74 - end: 75 - - entity: 琢紫 - start: 83 - end: 85 - - entity: ナユ - start: 98 - end: 100 + - entity: くぼ + start: 24 + end: 26 + - entity: 壮 + start: 74 + end: 75 + - entity: 琢紫 + start: 83 + end: 85 + - entity: ナユ + start: 98 + end: 100 description: "People, including fictional" phone: x-name: phone @@ -329,23 +329,23 @@ components: x-name: product type: array example: - - entity: 都合ヘラアニ限 - start: 26 - end: 33 - - entity: 議帳 - start: 104 - end: 106 + - entity: 都合ヘラアニ限 + start: 26 + end: 33 + - entity: 議帳 + start: 104 + end: 106 description: "Thing, object or product produced by human beings" quantity: x-name: quantity type: array example: - - entity: 2稿 - start: 33 - end: 35 - - entity: 8口 - start: 79 - end: 81 + - entity: 2稿 + start: 33 + end: 35 + - entity: 8口 + start: 79 + end: 81 description: "Expression of count or quantification" relationship: x-name: relationship @@ -386,12 +386,7 @@ components: postal_code: x-name: vehicle type: array - description: "Postal address that includes a lot number, street number, house number or zip code" - - - - - + description: "Postal address that includes a lot number, street number, house number or zip code" message: type: string From 2ce71d86356dfe7a6878cca5159cfad72fb26386 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:03:18 +0800 Subject: [PATCH 4270/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index f8f294542..484b11115 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -111,6 +111,7 @@ components: properties: keyLength: type: integer + format: int32 example: 1024 description: byte value of generated key publicKey: @@ -120,7 +121,7 @@ components: privateKey: type: string example: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... - description: private key to decoding. this private key should decode when the text encoded by the public key which generate with this only. + description: Used for decoding the text encoded with the corresponding public key. unauthorized: type: object properties: @@ -225,10 +226,11 @@ components: type: object properties: bitcode: - type: number + type: integer + format: int32 example: 1 default: true - description: Bitcode to generate the key by byte-length. Maximum up to 5. 0 and above 5 should be consider as 1. + description: Bitcode to generate the key by byte-length. Maximum up to 5. Empty string and above 5 should be consider as 1. securitySchemes: APIAuthorizer: type: apiKey From ce42717b544b77c2e380d9cef86c418f3f8dd86f Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:04:13 +0800 Subject: [PATCH 4271/5916] Update encryption_using_pki_key.yaml --- utility/encryption_using_pki_key.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key.yaml index 4f7a1ac7e..5a1f09f43 100644 --- a/utility/encryption_using_pki_key.yaml +++ b/utility/encryption_using_pki_key.yaml @@ -116,11 +116,11 @@ components: message: type: string example: Successfully Processed - description: Detailed description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call. + description: The status of the API call - success/failure result: type: string description: Encrypted text From 0d9e80e77324d65fd96692806006b3e9191b0fde Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:04:51 +0800 Subject: [PATCH 4272/5916] Update decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index dbeb3b112..b761314df 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -116,11 +116,11 @@ components: message: type: string example: Successfully Processed - description: Detailed description on the API status + description: Description on the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure result: type: string example: hello From f21a1043d9f0f6f1d6912e5051339d5f97b964eb Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:05:48 +0800 Subject: [PATCH 4273/5916] Update get_ip.yaml --- utility/get_ip.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index 946d64207..5ed1272a5 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -89,7 +89,7 @@ components: message: type: string example: Successfully Processed - description: Response message + description: Description of the API status results: type: string example: '123.123.123.123' @@ -97,7 +97,7 @@ components: status: type: string example: Success - description: API success call. + description: The status of the API call - success/failure unauthorized: type: object properties: From 36ba1f815671efd0d86bd455975a2f453923a4a9 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 20 May 2022 18:07:51 +0800 Subject: [PATCH 4274/5916] JP ner yaml updated --- nlp/named-entity_recognition_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 38582a289..181d76215 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -279,7 +279,7 @@ components: - entity: 30弾 start: 0 end: 3 - description: "Expression of order (e.g. "first", "second", etc)" + description: "Expression of order (e.g. \"first\", \"second\", etc)" offense: x-name: offense type: array From 5616ce4ef757ba42939e3d4ea8f89b4dc2052cd8 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:10:29 +0800 Subject: [PATCH 4275/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 27 ++++++++++++++++----------- 1 file changed, 16 insertions(+), 11 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index 6532759bb..941261811 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -120,11 +120,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description on the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: @@ -235,34 +235,39 @@ components: format: binary default: true example: sample.wav - description: Maximum file size up to 10 MB. + description: The file path that describes the location of the audio file to be converted to WAV file. Maximum file size up to 10 MB. samplerate: - type: string + type: integer + format: int32 default: false example: '16000' description: Sample rate of the audio file in Hz channel: - type: string + type: integer + format: int32 default: false example: '1' - description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) + description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2 (Stereo) bitrate: - type: string + type: integer + format: int32 default: false example: '2' - description: Indicates the bit resolution. Value must be 2 as (16 bit) + description: Indicates the bit resolution. Accepted Bitrate Values are 2 and 4 only. 2 for 16 bit and 4 for 32 bit. normalize: type: string default: false example: no - description: A boolean value that indicates whether to normalize the audio or not. Values must be either “yes” or “no” + description: A value that indicates whether to normalize the audio or not. Values must be either “yes” or “no” trim_start_time: - type: number + type: integer + format: int32 default: false example: 1 description: Indicates the start in seconds between which the audio is extracted trim_stop_time: - type: number + type: integer + format: int32 default: false example: 5 description: Indicates the end time in seconds between which the audio is extracted From c109786f2c4558a177106103baf5a7c04f66732a Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:11:37 +0800 Subject: [PATCH 4276/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index ae936e903..4b827055e 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -127,11 +127,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description on the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 15bd22c3335383d7585bc412646be9325b751846 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:12:29 +0800 Subject: [PATCH 4277/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 7aff5376a..9161b5953 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -115,7 +115,7 @@ components: message: type: string example: Successfully Processed - description: Response message + description: Description of the API status results: type: object example: {} From 0916f7cfd233a99f1fe5b98940856392b281296e Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:13:02 +0800 Subject: [PATCH 4278/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index caf070b2c..13c90d9a7 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -123,11 +123,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description on the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 5d52ad63396eb934204c97093366e4960d029db8 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:13:49 +0800 Subject: [PATCH 4279/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index b25feed91..87a6ef7c4 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -112,11 +112,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the api status + description: Description on the api status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure url: type: string example: https://storage.googleapis.com/base64decode/24f03729131e469181a2fc22eb3a627a.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20201015%2Fauto%2Fstora... From 36cdbdb22bfd5a983f45a9eba4bcb25145e771a5 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:14:25 +0800 Subject: [PATCH 4280/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index 7c28a09da..e8fa01896 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -122,11 +122,11 @@ components: status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure message: type: string example: Successfully Converted and stored in Google Cloud Storage - description: Detail description on the API status + description: Description on the API status unauthorized: type: object properties: From 013a9a128b24bd65ed1d1e449963bc81ed30b9b6 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 20 May 2022 18:16:01 +0800 Subject: [PATCH 4281/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 37c610668..00cf25437 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -114,7 +114,7 @@ components: properties: message: type: string - description: Successfully Converted and stored in Google Cloud Storage + description: Description of the API status example: Successfully Converted and stored in Google Cloud Storage results: type: object @@ -128,7 +128,7 @@ components: status: type: string example: Success - description: The status of the API call. success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From ff7e417ad319922948d586953c3353af1a7cf55a Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Sun, 22 May 2022 20:33:35 +0800 Subject: [PATCH 4282/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 22 ++++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 7b0b6b134..6be8da16b 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -320,14 +320,17 @@ components: example: [570253, 570254] items: type: integer + format: int32 description: postal code example: 570253 xcoord: - type: string + type: number + format: float description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 28185.4359 ycoord: - type: string + type: number + format: float description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 39012.6664 location: @@ -336,31 +339,38 @@ components: example: {"lat":1.364299477060462,"lon":103.8350609414261} properties: lat: - type: string - description: WGS84 (GPS) latitude + type: Number + Format: Float + description: Latitude in the WGS84 coordinate format example: 1.37179535 lon: - type: string - description: WGS84 (GPS) longitude + type: Number + Format: Float + description: Longitude in the WGS84 coordinate format example: 103.8469821 car: type: integer + format: int32 description: Number of car parking lots example: 18 lorry: type: integer + format: int32 description: Number of lorry parking lots example: 6 mc: type: integer + format: int32 description: Number of motorcycle parking lots example: 0 createddate: type: string + format: date description: Record first release date on sentient example: "2019-10-17" lastupdated: type: string + format: date description: Record last updated date on sentient example: "2019-10-17" message: From 469cf4bd7eea87b20405940cde7a454aa12eecd8 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 23 May 2022 10:34:55 +0800 Subject: [PATCH 4283/5916] JP ner yaml updated --- nlp/named-entity_recognition_jp.yaml | 19 ++++++++++++++----- 1 file changed, 14 insertions(+), 5 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 181d76215..4030238a2 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -179,7 +179,11 @@ components: animal: x-name: animal type: array - description: "Animals (includes insects, birds, reptiles, mammals and fishes, etc)" + description: "Animals (includes insects, birds, reptiles, mammals and fishes, etc)" + character: + x-name: character + type: array + description: "A name of a fictional character. This includes the characters of a story.A name of a fictional animal that appear in more than one work, like \"werewolf\"" is not included here but in natural_object Category. Other fictional animal that only appear in a specific work, like “Pikachu”, is included." color: x-name: color type: array @@ -325,6 +329,10 @@ components: x-name: phone type: array description: "Phone or fax number" + postal_code: + x-name: vehicle + type: array + description: "Postal address that includes a lot number, street number, house number or zip code" product: x-name: product type: array @@ -351,6 +359,10 @@ components: x-name: relationship type: array description: "Family lineage, pedigree or blood relationship" + sports: + x-name: sports + type: array + description: "A name of a sport in which the superiority of the player can be judged." stock_index: x-name: stock_index type: array @@ -383,10 +395,7 @@ components: x-name: weapon type: array description: "Weapon, arm or armament" - postal_code: - x-name: vehicle - type: array - description: "Postal address that includes a lot number, street number, house number or zip code" + message: type: string From a0bad305d045b4045e4dcf3ca7d7f42d3e4ded2d Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Mon, 23 May 2022 10:46:10 +0800 Subject: [PATCH 4284/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 27 ++++++++++++++++--------- 1 file changed, 17 insertions(+), 10 deletions(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index d3178310f..008db19cc 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -275,7 +275,8 @@ components: description: Document ID example: "pet_specialist" _score: - type: float + type: number + format: float description: The document score for the search request example: 1.0 _source: @@ -308,7 +309,8 @@ components: description: Business name example: "Pets" phonenumber: - type: string + type: integer + format: int32 description: Contact number example: "63553000" email: @@ -360,6 +362,7 @@ components: example: "shop/retail" lastupdated: type: string + format: date description: Record created date example: "2019-02-01" type: @@ -375,11 +378,13 @@ components: description: Full street name example: "ang mo kio avenue 6" xcoord: - type: string + type: number + format: float description: SVY21 X coordinates example: 29520.58 ycoord: - type: string + type: number + format: float description: SVY21 Y coordinates example: 39311.68 location: @@ -388,21 +393,23 @@ components: example: {"lat":1.364299477060462,"lon":103.8350609414261} properties: lat: - type: string - description: WGS84 latitude + type: number + format: float + description: Latitude in the WGS84 coordinate format example: 1.37179535 lon: - type: string - description: WGS84 longitude + type: number + format: float + description: Longitude in the WGS84 coordinate format example: 103.8469821 message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status. status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - success/failure. unauthorized: type: object properties: From 106aa89c27e98f8febbafb06564b8bb61690c074 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 23 May 2022 10:52:43 +0800 Subject: [PATCH 4285/5916] fsod docs updated --- computer_vision/few_shots_object_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index a8f87cc13..e363291e5 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -123,7 +123,7 @@ components: properties: output: type: array - example: [{"bounding box": {"bottom": 513,"left": 65,"right": 311,"top": 377},"confidence": 0.9715367555618286}] + example: [{"bounding box": {"top": 377,"right": 311,"bottom": 513,"left": 65},"confidence": 0.9715367555618286}] description: List of bounding boxes of the detected objects. items: oneOf: @@ -131,7 +131,7 @@ components: properties: bounding box: description: The bounding boxes of the instances of object of interests.Contains the "top", "left", "bottom", "right". These are the pixel locations of the top-right and bottom-left corners of the bounding box. - example: {"bottom": 513,"left": 65,"right": 311,"top": 377} + example: {"top": 377,"right": 311,"bottom": 513,"left": 65} type: object confidence: description: The "confidence" of the detection. From 9a77e36cc7ecaff5836c1e5f5932837d9af60205 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Mon, 23 May 2022 10:53:34 +0800 Subject: [PATCH 4286/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 36 ++++++++++++++++++++++------------- 1 file changed, 23 insertions(+), 13 deletions(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index f802e2d72..67b83cd4f 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -241,14 +241,16 @@ components: results: type: object example: {} - description: Json Object of returned results + description: Json Object in the returned results properties: total: type: integer + format: int32 example: 986 description: Total number of records max_score: - type: float + type: number + format: float example: 17.995623 description: The highest score value hits: @@ -271,7 +273,8 @@ components: description: Document ID example: "K7scqWgBv3dNEHq2WvMo" _score: - type: float + type: number + type: format description: The document score for the search request example: 17.995623 _source: @@ -281,6 +284,7 @@ components: properties: postalcode: type: integer + format: int32 description: Postal code of a block example: 560720 gender: @@ -293,6 +297,7 @@ components: example: "50 to 59" age_group_id: type: integer + format: int32 description: |+ Age group ID represents a certain age range: 1 (<10 years) @@ -306,6 +311,7 @@ components: example: 6 residents: type: integer + format: int32 description: Number of residents example: 54 block: @@ -317,12 +323,14 @@ components: description: Street Address or building name example: "upper cross street" xcoord: - type: string - description: SVY21 X coordinates + type: number + format: float + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object). example: 29520.58 ycoord: - type: string - description: SVY21 Y coordinates + type: number + format: float + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object). example: 39311.68 address: type: string @@ -342,12 +350,14 @@ components: example: {"lat":1.37179535,"lon":103.8469821} properties: lat: - type: string - description: WGS84 latitude + type: number + format: float + description: Latitude in the WGS84 coordinate format example: 1.37179535 lon: - type: string - description: WGS84 longitude + type: number + format: float + description: Longitude in the WGS84 coordinate format example: 103.8469821 source: type: string @@ -356,11 +366,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API the status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 2377b57df50c83d82437dffd9e56acd6f48969b9 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 23 May 2022 11:04:47 +0800 Subject: [PATCH 4287/5916] JP ner yaml updated --- nlp/named-entity_recognition_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 4030238a2..6af86d8b3 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -183,7 +183,7 @@ components: character: x-name: character type: array - description: "A name of a fictional character. This includes the characters of a story.A name of a fictional animal that appear in more than one work, like \"werewolf\"" is not included here but in natural_object Category. Other fictional animal that only appear in a specific work, like “Pikachu”, is included." + description: "A name of a fictional character. This includes the characters of a story.A name of a fictional animal that appear in more than one work, like \"werewolf\" is not included here but in natural_object Category. Other fictional animal that only appear in a specific work, like \"Pikachu\", is included." color: x-name: color type: array From c02f36ccfcd28a5f1f5f0dbb441eab26d7ad860b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 23 May 2022 09:02:30 +0530 Subject: [PATCH 4288/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 2ac2af637..eed72edb1 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -118,7 +118,16 @@ components: description: Latest Version input: type: object + required: + - engine_name + - event_history properties: + engine_name: + type: string + default: true + description: |+ + engine name + example: engine name event_history: type: object description: |+ From 4f4e2e78b8c9a04226b80bc3a7c6622f80ee02ce Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 23 May 2022 09:44:36 +0530 Subject: [PATCH 4289/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index d4e8aeb11..5a81dfb68 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -463,6 +463,12 @@ components: example: false description: Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. + enable_words: + type: boolean + default: false + example: false + description: + Specifies whether to return the information about words. Default value false. uploadinput: type: object required: From e40c8d645095a5c03b4ce74ae73b6e29f5ede6d5 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Mon, 23 May 2022 14:48:44 +0800 Subject: [PATCH 4290/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 003d1f53b..a316bed75 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. The input can be bypassed to asr without passing through vad by setting the optional paramater "vad" to false. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - The length of your audio should be **up to 60 seconds**. + This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. + The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. + The length of your audio **should not exceed 60 seconds**. version: '1.2.2' x-additionalinfo: |+ Suggested Use Cases: From 637a10e01a8e9ceb546cd3a8f5a2377d0f50a378 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Mon, 23 May 2022 14:51:24 +0800 Subject: [PATCH 4291/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index a316bed75..a161a5d3d 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -1,10 +1,10 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG - description: |+ - This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. - The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. - The length of your audio **should not exceed 60 seconds**. + description: + "This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. + \n\n The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. + \n\n The length of your audio **should not exceed 60 seconds**." version: '1.2.2' x-additionalinfo: |+ Suggested Use Cases: From 966e6d1b5ec7f7245c78f35783a56e6038f29d7c Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Mon, 23 May 2022 14:52:25 +0800 Subject: [PATCH 4292/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index a161a5d3d..7e1a229e7 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -2,9 +2,7 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG description: - "This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. - \n\n The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. - \n\n The length of your audio **should not exceed 60 seconds**." + "This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. \n\n The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. \n\n The length of your audio **should not exceed 60 seconds**." version: '1.2.2' x-additionalinfo: |+ Suggested Use Cases: From 7c07bde817cc3a5e119436fc2a0c6252c1640c9e Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Mon, 23 May 2022 14:54:25 +0800 Subject: [PATCH 4293/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 7e1a229e7..8e7737b05 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -1,8 +1,9 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG - description: - "This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. \n\n The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. \n\n The length of your audio **should not exceed 60 seconds**." + description: "This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. + \n\n The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. + \n\n The length of your audio **should not exceed 60 seconds**." version: '1.2.2' x-additionalinfo: |+ Suggested Use Cases: From 7b546f9ac5a0708dfc48067ef9d3f084ccf4497b Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Mon, 23 May 2022 14:55:16 +0800 Subject: [PATCH 4294/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 8e7737b05..308dad39b 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -1,9 +1,10 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG - description: "This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. - \n\n The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. - \n\n The length of your audio **should not exceed 60 seconds**." + description: |+ + This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. + The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. + The length of your audio **should not exceed 60 seconds**. version: '1.2.2' x-additionalinfo: |+ Suggested Use Cases: From 8c83585fa7728ed152c2aa6f1c7738305d161b57 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Mon, 23 May 2022 14:58:53 +0800 Subject: [PATCH 4295/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 0939d359f..c59eab15a 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition CHI description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech that lasts within 1 minute. - The server returns the recognition result in a JSON format as a response. + This Voice microservice transcribes Chinese speech in the input audio stream into text. The microservice requires the input audio file to be in WAV format at 16 kHz and works best when the audio file consists mostly of speech with no long pauses in between. The server returns the recognition result in a JSON format as a response. The length of your audio **should not exceed 60 seconds**. x-additionalinfo: |+ Suggested Use Cases: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono. From 27367c441ea59a301e0bea3b587af598c5664583 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 15:49:53 +0800 Subject: [PATCH 4296/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 2aba1c783..fae70a349 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -187,11 +187,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - Success/Failure scroll_id: type: string example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== From 5f90aec5d91c87fe5d16b58820232f29ef76f2b7 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:14:10 +0800 Subject: [PATCH 4297/5916] Update flat_ownership_hdb_sg.yaml --- data/flat_ownership_hdb_sg.yaml | 29 ++++++++++++++++++----------- 1 file changed, 18 insertions(+), 11 deletions(-) diff --git a/data/flat_ownership_hdb_sg.yaml b/data/flat_ownership_hdb_sg.yaml index ced68337c..8cb965616 100644 --- a/data/flat_ownership_hdb_sg.yaml +++ b/data/flat_ownership_hdb_sg.yaml @@ -241,6 +241,7 @@ components: properties: total: type: integer + format: int example: 986 description: Total number of records max_score: @@ -297,10 +298,12 @@ components: example: "5" no_of_units: type: integer + format: int32 description: Ownership units example: "29" block: - type: string + type: integer + format: int32 description: Address block example: "533" street: @@ -308,12 +311,14 @@ components: description: Street Address or building name example: "upper cross street" xcoord: - type: string - description: SVY21 X coordinates + type: number + format: float + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 29520.58 ycoord: - type: string - description: SVY21 Y coordinates + type: number + format: float + description: SSVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 39311.68 address: type: string @@ -333,12 +338,14 @@ components: example: {"lat":1.37179535,"lon":103.8469821} properties: lat: - type: string - description: WGS84 latitude + type: number + format: float + description: Latitude in the WGS84 coordinate format example: 1.37179535 lon: - type: string - description: WGS84 longitude + type: number + format: float + description: Longitude in the WGS84 coordinate format example: 103.8469821 source: type: string @@ -347,11 +354,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - Success/Failure unauthorized: type: object properties: From d9d520ffd155e208ae4de22193b87ea518459074 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:15:23 +0800 Subject: [PATCH 4298/5916] Update flat_ownership_hdb_sg.yaml --- data/flat_ownership_hdb_sg.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/data/flat_ownership_hdb_sg.yaml b/data/flat_ownership_hdb_sg.yaml index 8cb965616..39549741d 100644 --- a/data/flat_ownership_hdb_sg.yaml +++ b/data/flat_ownership_hdb_sg.yaml @@ -245,7 +245,8 @@ components: example: 986 description: Total number of records max_score: - type: float + type: number + format: float example: 17.995623 description: The highest score value hits: From 6d3d6e7e4045cb0c4145b6ebb6a5c9ae16eefdc6 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:17:17 +0800 Subject: [PATCH 4299/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 36606f9c9..202389349 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -175,11 +175,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - Success/Failure scroll_id: type: string example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== From f1347bb6b748452f374c5bafe46ec38c5078f31b Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:25:32 +0800 Subject: [PATCH 4300/5916] Update residential_sales_and_rental_hdb_sg.yaml --- data/residential_sales_and_rental_hdb_sg.yaml | 46 ++++++++++++++----- 1 file changed, 34 insertions(+), 12 deletions(-) diff --git a/data/residential_sales_and_rental_hdb_sg.yaml b/data/residential_sales_and_rental_hdb_sg.yaml index 5b7805f71..339fa3037 100644 --- a/data/residential_sales_and_rental_hdb_sg.yaml +++ b/data/residential_sales_and_rental_hdb_sg.yaml @@ -278,11 +278,13 @@ components: description: Content type of the document example: dir_doc _id: - type: string + type: integer + format: int32 description: Document ID example: '750405' _score: type: integer + format: int32 description: The document score for the search request example: 1 _source: @@ -292,66 +294,82 @@ components: properties: postalcode: type: integer + format: int32 description: Postal code example: 750405 year_completed: type: integer + format: int32 description: Completed year of the Building example: 1999 total_dwelling_units: type: integer + format: int32 description: Total Dwelling units example: 112 1room_sold: type: integer + format: int32 description: No. of one room units sold example: 0 2room_sold: type: integer + format: int32 description: No. of two room units sold example: 0 3room_sold: type: integer + format: int32 description: No. of three room units sold example: 0 4room_sold: type: integer + format: int32 description: No. of four room units sold example: 112 5room_sold: type: integer + format: int32 description: No. of five room units sold example: 0 exec_sold: type: integer + format: int32 description: No. of executive units sold example: 0 multigen_sold: type: integer + format: int32 description: No. of multi generation units sold example: 0 studio_apartment_sold: type: integer + format: int32 description: No. of studio units sold example: 0 1room_rental: type: integer + format: int32 description: No. of one room units rented example: 0 2room_rental: type: integer + format: int32 description: No. of two room units rented example: 0 3room_rental: type: integer + format: int32 description: No. of three room units rented example: 0 other_room_rental: type: integer + format: int32 description: No. of other units rented example: 0 block: - type: string + type: integer + format: int32 description: Block Number example: 405 street: @@ -359,12 +377,14 @@ components: description: Street example: ADMIRALTY LINK xcoord: - type: string - description: SVY21 X coordinates + type: number + format: float + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 26086.0996 ycoord: - type: string - description: SVY21 Y coordinates + type: number + format: float + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 48325.8008 address: type: string @@ -384,12 +404,14 @@ components: example: {"lat":1.350748,"lon":103.872798} properties: lat: - type: string - description: WGS84 latitude + type: number + format: float + description: Latitude in the WGS84 coordinate format example: 1.37179535 lon: - type: string - description: WGS84 longitude + type: number + format: float + description: Longitude in the WGS84 coordinate format example: 103.8469821 source: type: string @@ -398,11 +420,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - Success/Failure unauthorized: type: object properties: From 7d1427c044ad76063a2967ba14c7c76770f33659 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:31:51 +0800 Subject: [PATCH 4301/5916] Update season_parking_availability_hdb_sg.yaml --- data/season_parking_availability_hdb_sg.yaml | 32 ++++++++++++-------- 1 file changed, 19 insertions(+), 13 deletions(-) diff --git a/data/season_parking_availability_hdb_sg.yaml b/data/season_parking_availability_hdb_sg.yaml index 03357c333..cac5e8c64 100644 --- a/data/season_parking_availability_hdb_sg.yaml +++ b/data/season_parking_availability_hdb_sg.yaml @@ -294,27 +294,31 @@ components: example: "Y" car_park_availability: type: integer + format: int32 description: Car Park Availability example: 15 postalcode: - type: array + type: integer + format: int32 description: Postal code example: 552506 block: - type: array + type: string description: Block example: "506B" street: - type: array + type: string description: street example: "serangoon north avenue 4" xcoord: - type: string - description: SVY21 X coordinates + type: number + format: float + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 32714.002 ycoord: - type: string - description: SVY21 Y coordinates + type: number + format: float + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 39399.7461 address: type: string @@ -330,12 +334,14 @@ components: example: {"lat":1.37259145,"lon":103.8756772} properties: lat: - type: string - description: WGS84 latitude + type: number + format: float + description: Latitude in the WGS84 coordinate format example: 1.37259145 lon: - type: string - description: WGS84 longitude + type: number + format: float + description: Longitude in the WGS84 coordinate format example: 103.8756772 createddate: type: string @@ -348,11 +354,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - Success/Failure unauthorized: type: object properties: From 50e81f40654f1c2b3cea8abd3766b507d9f0179a Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:34:37 +0800 Subject: [PATCH 4302/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index 941261811..01fd325fb 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -120,7 +120,7 @@ components: message: type: string example: Successfully Processed - description: Description on the API status + description: Description of the API status status: type: string example: Success From 0017403bf0b54817c89a7b71c88d5a9bda010df6 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:35:03 +0800 Subject: [PATCH 4303/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index 87a6ef7c4..c5ac67622 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -112,7 +112,7 @@ components: message: type: string example: Successfully Processed - description: Description on the api status + description: Description of the api status status: type: string example: Success From 292a412e6b85ebf8a96c8e2786f4efb78fdaefc7 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:35:42 +0800 Subject: [PATCH 4304/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index 13c90d9a7..18ff67a98 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -123,7 +123,7 @@ components: message: type: string example: Successfully Processed - description: Description on the API status + description: Description of the API status status: type: string example: Success From 7fee6c03516044373fdc60ee2ee71c65f710b942 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:37:38 +0800 Subject: [PATCH 4305/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index e8fa01896..88e6b1278 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -126,7 +126,7 @@ components: message: type: string example: Successfully Converted and stored in Google Cloud Storage - description: Description on the API status + description: Description of the API status unauthorized: type: object properties: From 407000f7f49b11e459ac3c730ef480025e271ab5 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:38:27 +0800 Subject: [PATCH 4306/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index 4b827055e..4c4ee3baa 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -127,7 +127,7 @@ components: message: type: string example: Successfully Processed - description: Description on the API status + description: Description of the API status status: type: string example: Success From 324f7f28b859c6040f7474c7e457e0f06cf8c71f Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:39:12 +0800 Subject: [PATCH 4307/5916] Update decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index b761314df..efc6d5572 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -116,7 +116,7 @@ components: message: type: string example: Successfully Processed - description: Description on the API status + description: Description of the API status status: type: string example: Success From 2ca82ba930d5fb76c87e9079ea99fad00f31d797 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:42:50 +0800 Subject: [PATCH 4308/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index d929b0af4..2c90140ca 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -181,11 +181,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - Success/Failure scroll_id: type: string example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== From be23e9aee8a91e261f759b1750e99033ef4a2b16 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:50:09 +0800 Subject: [PATCH 4309/5916] Update train_stations_sg.yaml --- data/train_stations_sg.yaml | 38 +++++++++++++++++++++++-------------- 1 file changed, 24 insertions(+), 14 deletions(-) diff --git a/data/train_stations_sg.yaml b/data/train_stations_sg.yaml index 998b0ac75..9a5f5a8cd 100644 --- a/data/train_stations_sg.yaml +++ b/data/train_stations_sg.yaml @@ -142,11 +142,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - Success/Failure results: type: object example: {} @@ -154,10 +154,12 @@ components: properties: total: type: integer + format: int32 example: 1 description: Total number of records max_score: - type: number + type: integer + format: int32 example: 0 description: The highest score value hits: @@ -180,9 +182,10 @@ components: description: Document ID example: "64406c95#64291" _score: - type: number + type: integer + format: int32 description: The document score for the search request - example: 1.0 + example: 1 _source: type: object example: {} @@ -193,7 +196,8 @@ components: description: Track line color example: "OTHERS" id: - type: string + type: integer + format: int32 description: Row Identification example: 66 lastupdated: @@ -206,12 +210,14 @@ components: example: {"lat":1.3802982869999998,"lon":103.7453173} properties: lat: - type: string - description: Latitude map coordinates for station + type: number + format: float + description: Latitude in the WGS84 coordinate format example: "1.3802982869999998" lon: - type: string - description: Longitude map coordinates for station + type: number + format: float + description: Longitude in the WGS84 coordinate format example: "103.7453173" line_name: type: string @@ -227,11 +233,13 @@ components: example: "BP02" x: type: number - description: X coordinates + format: float + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 18203.7243 y: type: number - description: Y coordinates + format: float + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 40252.0686 unauthorized: type: object @@ -329,12 +337,14 @@ components: type: object properties: limit: - type: number + type: integer + format: int32 default: false example: 10 description: The max records to return for the request. Default - 10, Max - 10000 offset: - type: number + type: integer + format: int32 default: false example: 0 description: The offset of the record list ie the starting index . Default - 0 From 8dd21cf3943c91940edb4dc079862fde506c4874 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 23 May 2022 14:21:53 +0530 Subject: [PATCH 4310/5916] Create fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 764 ++++++++++++++++++++++++++++ 1 file changed, 764 insertions(+) create mode 100644 analytics/fleet_routing_engine.yaml diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml new file mode 100644 index 000000000..ba0ee2064 --- /dev/null +++ b/analytics/fleet_routing_engine.yaml @@ -0,0 +1,764 @@ +openapi: 3.0.1 +info: + title: Fleet Routing Engine (FRES01) + description: |+ + Fleet Routing Engine is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle. + version: '0.1.0' + x-additionalinfo: |+ + - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. + + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/recommendation_engine.yaml + x-subscribelink: recommendation_engine + x-apitype: Subscription + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + Subscription Fee + The API is billed by per request for get recommendations. + x-notes: |+ + File size cannot exceed 10 MB. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Apr 20, 2022" +paths: + /microservices/analytics/fleetroutingengine/v0/endcustpreprocess: + description: |+ + This API will be used to preprocess the end customer data, especially giving information of the coordinate (latitude and longitude) and the postal district based on the Singapore-registered postal code. This information is required for building the travel matrix and for using the fleet routing engine APIs. + + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/endcustpreprocesssuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/endcustpreprocessinput' + required: true + /microservices/analytics/fleetroutingengine/v0/jobpreprocess: + description: |+ + This API is used to preprocess the job data for the fleet routing engine API. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/jobpreprocesssuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/jobpreprocessinput' + required: true + /microservices/analytics/fleetroutingengine/v0/haversinetravelmatrix: + description: |+ + This API is used to generate travel matrix which calculate the distance between each location. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/travelmatrixsuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/travelmatrixinput' + required: true + /microservices/analytics/fleetroutingengine/v0/fres01: + description: |+ + If client already has the table with the mentioned specification, there is no need to call the previous API. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/fresuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/freinput' + required: true +components: + schemas: + endcustpreprocesssuccess: + type: object + properties: + latitude: + type: string + description: The latitude of the postal code. + example: 1.36925511350953 + longitude: + type: string + description: The longitude of the postal code. + example: 103.848464053097 + postal_district: + type: string + description: The postal district of the postal code. + example: 20 + jobpreprocesssuccess: + type: object + properties: + job_table: + type: object + description: Preprocessed job table + properties: + end_customer_id: + type: object + properties: + 0: + type: string + description: End customer ID + example: C-001 + 1: + type: string + description: End customer ID + example: C-002 + end_customer_name: + type: object + properties: + 0: + type: string + description: End customer Name + example: customer-001 + 1: + type: string + description: End customer Name + example: customer-002 + delivery_or_pickup: + type: object + properties: + 0: + type: string + description: Delivery (D) or pickup (P) option + example: P + 1: + type: string + description: Delivery (D) or pickup (P) option + example: P + postcode: + type: object + properties: + 0: + type: string + description: Postal code + example: 569933 + 1: + type: string + description: Postal code + example: 628588 + postal_district: + type: object + properties: + 0: + type: string + description: Postal district + example: 20 + 1: + type: string + description: Postal district + example: 22 + timewindow_start: + type: object + properties: + 0: + type: string + description: window's start time + example: 10:00:00 + 1: + type: string + description: window's start time + example: 08:00:00 + timewindow_end: + type: object + properties: + 0: + type: string + description: window's end time + example: 14:00:00 + 1: + type: string + description: window's end time + example: 14:00:00 + return_by: + type: object + properties: + 0: + type: string + description: Return by time + example: 17:00:00 + 1: + type: string + description: Return by time + example: 17:00:00 + customer_priority: + type: object + properties: + 0: + type: string + description: customer priority + example: low + 1: + type: string + description: customer priority + example: moderate + latitude: + type: object + properties: + 0: + type: string + description: Latitude of the postal code + example: 1.36925511350953 + 1: + type: string + description: Latitude of the postal code + example: 1.3245369061813 + longitude: + type: object + properties: + 0: + type: string + description: Longitude of the postal code + example: 103.848464053097 + 1: + type: string + description: Longitude of the postal code + example: 103.697241531345 + dwell_time: + type: object + properties: + 0: + type: float + description: Dwell time + example: 15.0 + 1: + type: float + description: Dwell time + example: 17.0 + quantity: + type: object + properties: + 0: + type: integer + description: Quantity + example: 1 + 1: + type: integer + description: Quantity + example: 12 + total_weight: + type: object + properties: + 0: + type: float + description: Total weight + example: 74.0 + 1: + type: float + description: Total weight + example: 18.0 + total_volume: + type: object + properties: + 0: + type: float + description: Total volume + example: 117990.0 + 1: + type: float + description: Total volume + example: 192456.0 + job_id: + type: object + properties: + 0: + type: string + description: Job ID + example: PO-001 + 1: + type: string + description: Job ID + example: PO-002 + wg_threshold_status: + type: string + description: The status of the wg_threshold input + example: default_value (500) + split_threshold_status: + type: string + description: The status of the split_threshold input + example: default_value (1000) + travelmatrixsuccess: + type: object + properties: + travel_matrix_table: + type: object + properties: + start: + type: object + description: Singapore 6 digits postal code (start point) + properties: + 0: + type: string + description: start value + example: 569871 + 1: + type: string + description: start value + example: 628588 + 2: + type: string + description: start value + example: 628588 + end: + type: object + description: Singapore 6 digits postal code (end point) + properties: + 0: + type: string + description: End value + example: 628588 + 1: + type: string + description: End value + example: 569933 + 2: + type: string + description: End value + example: 569933 + min_distance: + type: object + description: Distance between start and end in meter unit + properties: + 0: + type: float + description: Minimum Distance + example: 19542.0325169279 + 1: + type: float + description: Minimum Distance + example: 2047.8600016832 + 2: + type: float + description: Minimum Distance + example: 17530.5428739106 + fresuccess: + type: object + properties: + routes: + type: object + properties: + vehicle-9: + type: object + properties: + vehicle_id: + type: string + description: Vehicle ID + example: vehicle-9 + vehicle_capacity: + type: integer + description: Vehicle Capacity + example: 800 + vehicle_volumes: + type: float + description: Vehicle Volumes + example: 5.368 + route: + type: array + description: Routes + example: ["150165", "349314"] + items: + oneOf: + - type: string + example: "150165" + - type: string + example: "349314" + job_group_id: + type: array + description: Job group ID + example: ["DDpt", "D21"] + items: + oneOf: + - type: string + example: "DDpt" + - type: string + example: "D21" + job_id_list: + type: array + description: Job ID List + example: ["DDpt", "DO-021"] + items: + oneOf: + - type: string + example: "DDpt" + - type: string + example: "DO-021" + end_customer_name: + type: array + description: End Customer Name + example: ["DDpt", "customer-021"] + items: + oneOf: + - type: string + example: "DDpt" + - type: string + example: "customer-021" + end_customer_id: + type: array + description: End Customer ID + example: ["DDpt", "C-021"] + items: + oneOf: + - type: string + example: "DDpt" + - type: string + example: "C-021" + time: + type: array + description: Time + example: [["10:00:00", "10:00:00"], ["10:08:00", "10:25:00"]] + items: + oneOf: + - type: array + example: ["10:00:00", "10:00:00"] + - type: array + example: ["10:08:00", "10:25:00"] + service_time: + type: array + description: Service Time + example: [0, 17] + items: + oneOf: + - type: integer + example: 0 + - type: integer + example: 17 + load_weight: + type: array + description: Load Weight + example: [309, 263] + items: + oneOf: + - type: integer + example: 309 + - type: integer + example: 263 + load_volume: + type: array + description: Load Volume + example: [2.521598, 2.245718] + items: + oneOf: + - type: float + example: 2.521598 + - type: float + example: 2.245718 + load_insurance: + type: array + description: Load Insurance + example: [9, 8] + items: + oneOf: + - type: integer + example: 9 + - type: integer + example: 8 + total_time_min: + type: integer + description: Total Time Minimum + example: 343 + total_distance_m: + type: float + description: Total Distance + example: 36178.0 + max_load_weight: + type: integer + description: Maximum Load Weight + example: 309 + weight_utilization: + type: float + description: Weight Utilization + example: 0.38625 + max_load_volume: + type: float + description: Maximum Load Volume + example: 2.521598 + volume_utilization: + type: float + description: Volume Utilization + example: 0.4697462742175857 + centroid_coordinate: + type: array + description: Centroid Coordinate + example: [1.3109918, 103.88885] + items: + oneOf: + - type: float + example: 1.3109918 + - type: float + example: 103.88885 + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - March 30, 2022 + x-details: Initial version release + description: Latest Version + endcustpreprocessinput: + type: object + required: + - postal_code + properties: + postal_code: + type: integer + default: true + example: 569933 + description: |+ + Singapore 6 digits postal code + jobpreprocessinput: + type: object + required: + - job_table + - end_customer_table + properties: + end_customer_table: + type: object + default: true + example: {"end_customer_id":{"0":"C-001","1":"C-002"},"end_customer_name":{"0":"customer001","1":"customer002"},"postcode":{"0":"569871","1":"628588"},"customer_priority":{"0":"low","1":"moderate"},"dwell_time":{"0":13.0,"1":17.0},"latitude":{"0":"1.37787324453845","1":"1.3245369061813"},"longitude":{"0":"103.864744699759","1":"103.697241531345"},"postal_district":{"0":"20","1":"22"}} + description: |+ + End Customer Table information + job_table: + type: object + default: true + description: |+ + Job Table information + example: {"job_id":{"0":"PO-001","1":"PO-002"},"end_customer_id":{"0":"C-001","1":"C-002"},"end_customer_name":{"0":"customer-001","1":"customer002"},"delivery_or_pickup":{"0":"P","1":"P"},"timewindow_start":{"0":"10:00:00","1":"08:00:00"},"timewindow_end":{"0":"14:00:00","1":"14:00:00"},"return_by":{"0":"17:00:00","1":"17:00:00"},"quantity":{"0":1,"1":12},"total_weight":{"0":74.0,"1":18.0},"length":{"0":38.0,"1":11.0},"width":{"0":45.0,"1":54.0},"height":{"0":69.0,"1":27.0},"fragility":{"0":"yes","1":"no"},"weight_bearing":{"0":136.0,"1":216.0},"upright_requirement":{"0":"yes","1":"no"}} + wg_threshold: + type: float + description: |+ + Weight Threshold + example: 500.0 + split_threshold: + type: float + description: |+ + Split Threshold + example: 1000.0 + travelmatrixinput: + type: object + required: + - end_customer_table + - depot + properties: + end_customer_table: + type: object + default: true + description: |+ + End customer table information + example: {"end_customer_id":{"0":"C-001","1":"C-002"},"end_customer_name":{"0":"customer001","1":"customer002"},"postcode":{"0":"569871","1":"628588"},"customer_priority":{"0":"low","1":"moderate"},"dwell_time":{"0":13.0,"1":17.0},"latitude":{"0":"1.37787324453845","1":"1.3245369061813"},"longitude":{"0":"103.864744699759","1":"103.697241531345"},"postal_district":{"0":"20","1":"22"}} + depot: + type: integer + default: true + description: Depot + example: 569933 + freinput: + type: object + required: + - depot + - start_op + - end_op + - job_table + - vehicle_table + - travel_matrix_table + properties: + depot: + type: integer + default: true + description: |+ + Depot Information + example: 150165 + start_op: + type: string + default: true + description: |+ + Start time of the op + example: 08:00:00 + end_op: + type: string + default: true + description: |+ + End time of the op + example: 18:00:00 + break_start: + type: string + description: |+ + Start time of break + example: 12:00:00 + break_end: + type: string + description: |+ + End time of break + example: 12:30:00 + vol_util: + type: float + description: |+ + Volume Utilized + example: 0.5 + job_table: + type: object + default: true + description: |+ + Preprocessed job table (result of Job Data Preprocess API) + example: 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+ securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 4df3aaf4331930dddad6151c9636683d32f4aed6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 23 May 2022 14:23:08 +0530 Subject: [PATCH 4311/5916] Create load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 484 ++++++++++++++++++++++++++++ 1 file changed, 484 insertions(+) create mode 100644 analytics/load_planning_engine.yaml diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml new file mode 100644 index 000000000..6860cdb04 --- /dev/null +++ b/analytics/load_planning_engine.yaml @@ -0,0 +1,484 @@ +openapi: 3.0.1 +info: + title: Load Planning Engine (LPE) + description: |+ + Load Planning Engine API will give the client recommendation on how to arrange cargoes inside a vehicle. The input for the API is one vehicle with its assigned cargoes. + version: '0.1.0' + x-additionalinfo: |+ + - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. + + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/recommendation_engine.yaml + x-subscribelink: recommendation_engine + x-apitype: Subscription + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + Subscription Fee + The API is billed by per request to get recommendations. + x-notes: |+ + File size cannot exceed 10 MB. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Apr 20, 2022" +paths: + /microservices/analytics/loadplanningengine/v0/freinterface: + description: |+ + FRE Interface API is an API to interface between the Fleet Routing Engine and the Load Planning Engine. This API will process the response of the Fleet Routing Engine API an transform it into a format that is accepted by the LPE API. + + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/freinterfacesuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/freinterfaceinput' + required: true + /microservices/analytics/loadplanningengine/v0/lpe : + description: |+ + Load Planning Engine API is to give client recommendation on how to load cargoes inside a vehicle. The LPE API can be used together with the Fleet Routing Engine API. The API will also give the client visualization of the load plan in 6 different viewing angles. If the payload includes pickup and delivery types of jobs, the load plan will be separated. All the cargo wil be treated as a box shape and all cargoes inside a same job ID will be grouped into one big box. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/lpesuccess' + example: + message: Successfully Added + status: Success + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/lpeinput' + required: true +components: + schemas: + freinterfacesuccess: + type: object + properties: + vehicle-9: + type: object + properties: + job_id: + type: object + properties: + 0: + type: string + description: Job ID + example: PO-011 + 1: + type: string + description: Job ID + example: PO-019 + end_customer_id: + type: object + properties: + 0: + type: string + description: End customer ID + example: C-034 + 1: + type: string + description: End customer ID + example: C-010 + end_customer_name: + type: object + properties: + 0: + type: string + description: End customer Name + example: customer-034 + 1: + type: string + description: End customer Name + example: customer-010 + delivery_or_pickup: + type: object + properties: + 0: + type: string + description: Delivery(D) or pickup(P) option + example: P + 1: + type: string + description: Delivery(D) or pickup(P) option + example: P + quantity: + type: object + properties: + 0: + type: integer + description: Quantity + example: 19 + 1: + type: integer + description: Quantity + example: 18 + total_weight: + type: object + properties: + 0: + type: integer + description: Total Weight + example: 4 + 1: + type: integer + description: Total Weight + example: 1 + total_volume: + type: object + properties: + 0: + type: float + description: Total volume + example: 0.329232 + 1: + type: float + description: Total volume + example: 0.2556 + length: + type: object + properties: + 0: + type: integer + description: Length + example: 6 + 1: + type: integer + description: Length + example: 4 + width: + type: object + properties: + 0: + type: integer + description: Width + example: 38 + 1: + type: integer + description: Width + example: 71 + height: + type: object + properties: + 0: + type: integer + description: Height + example: 76 + 1: + type: integer + description: Height + example: 50 + fragility: + type: object + properties: + 0: + type: string + description: Fragility + example: yes + 1: + type: string + description: Fragility + example: no + weight_bearing: + type: object + properties: + 0: + type: integer + description: Weight Bearing + example: 246 + 1: + type: integer + description: Weight Bearing + example: 175 + upright_requirement: + type: object + properties: + 0: + type: string + description: Upright requirement + example: yes + 1: + type: string + description: Upright requirement + example: no + sequence: + type: object + properties: + 0: + type: integer + description: Sequence + example: 9 + 1: + type: integer + description: Sequence + example: 175 + lpesuccess: + type: object + properties: + vehicle_id: + type: string + description: The unique vehicle id + example: SG123XX + engine_code: + type: string + description: Engine code (FRES01) + example: LPE + plan_timestamp: + type: string + description: The timestamp of the plan + lpe_results: + type: object + description: The load plan for the vehicle + properties: + fit_box: + type: object + description: |+ + JSON String of the description of the fitted cargoes with job_id of as the key + properties: + PO-007: + type: object + properties: + position: + type: array + description: Position + example: [0, 0, 0] + items: + oneOf: + - type: float + example: 0 + - type: float + example: 0 + - type: float + example: 0 + up_requirement: + type: string + description: Up requirement + example: 1 + fragility: + type: string + description: Fragility + example: 0 + weight_bearing: + type: integer + description: Weight Bearing + example: 127 + PO-019: + type: object + properties: + position: + type: array + description: Position + example: [62.80142396057187, 0, 0] + items: + oneOf: + - type: float + example: 62.80142396057187 + - type: float + example: 0 + - type: float + example: 0 + up_requirement: + type: string + description: Up requirement + example: 0 + fragility: + type: string + description: Fragility + example: 0 + weight_bearing: + type: integer + description: Weight Bearing + example: 175 + unfit_box: + type: object + description: |+ + JSON String of the description of the unfitted cargoes with job_id of as the key + properties: + PO-016: + type: object + properties: + up_requirement: + type: string + description: Up requirement + example: 1 + fragility: + type: string + description: Fragility + example: 1 + weight_bearing: + type: integer + description: Weight Bearing + example: 188 + unfit_reason: + type: string + description: Reason for unfit + example: Unfit because of not enough avaliable space + url: + type: string + description: |+ + The url to download the cargo loading visualization, the visualization is from 6 different viewing angles in one zipped file. The file will be deleted in 30 minutes; therefore, client must download the file as soon as possible. + example: https://uc87016abfd5b6d8e52fd19e5dc2.dl.dropboxusercontent.com/cd/0/get/Blx24MenVrP5DM4wayypAid6e2kv1Uj2taw89ifJVwFe92KoRjWVrMG1XioFwJbziux8e--dGfoZviI8_iu8IJ8AxmpGxN1kGMkEGs_qLPgI2iqaJCnNry3ng7HqhOF6Q6xyDgRvUD3OHoMwAnbAjwXmahkFioZ-1lfH6bvwx_Nr4vDmMUPIpwX-PiCxQTSVquY/file + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - March 30, 2022 + x-details: Initial version release + description: Latest Version + freinterfaceinput: + type: object + required: + - fre_response + - job_table + properties: + fre_response: + type: object + default: true + example: {"routes":{"vehicle-9": {"vehicle_id": "vehicle-9", "vehicle_capacity": 800, "vehicle_volumes": 5.368, "route": ["150165", "349314", "389842", "389842", "389842", "389842", "469277", "469277", "469277", "486162", "486162", "099253", "150165"], "job_group_id": ["DDpt", "D21", "D19", "D20", "D13", "D2", "D24", "D29", "P18", "P11", "D9", "D22", "Dpt"], "job_id_list": ["DDpt", "DO-021", "DO-019", "DO-020", "DO-013", "DO-002", "DO-024", "DO-030", "PO-019", "PO-011", "DO-009", "DO-022", "Dpt"], "end_customer_name": ["DDpt", "customer-021", "customer-017", "customer-017", "customer-017", "customer-017", "customer-010", "customer-010", "customer-010", "customer-034", "customer-034", "customer-024", "Dpt"], "end_customer_id": ["DDpt", "C-021", "C-017", "C-017", "C-017", "C-017", "C-010", "C-010", "C-010", "C-034", "C-034", "C-024", "Dpt"], "time": [["10:00:00", "10:00:00"], ["10:08:00", "10:25:00"], ["10:25:00", "10:36:00"], ["10:36:00", "10:47:00"], ["10:47:00", "10:58:00"], ["10:58:00", "11:09:00"], ["11:15:00", "11:28:00"], ["11:28:00", "11:41:00"], ["11:41:00", "11:54:00"], ["12:31:00", "12:50:00"], ["12:50:00", "13:09:00"], ["13:25:00", "13:41:00"], ["13:43:00", "13:43:00"]], "service_time": [0, 17, 11, 11, 11, 11, 13, 13, 13, 19, 19, 16, 0], "load_weight": [309, 309, 263, 262, 250, 179, 170, 152, 86, 87, 91, 80, 5], "load_volume": [2.521598, 2.521598, 2.245718, 2.045798, 1.880556, 1.873956, 1.416996, 1.363176, 0.761784, 1.017384, 1.346616, 1.169472, 0.584832], "load_insurance": [9, 9, 8, 7, 6, 5, 4, 3, 2, 3, 4, 3, 2], "total_time_min": 343, "total_distance_m": 36178.0, "max_load_weight": 309, "weight_utilization": 0.38625, "max_load_volume": 2.521598, "volume_utilization": 0.4697462742175857, "centroid_coordinate": [1.3109918, 103.88885]}, "vehicle-11": {"vehicle_id": "vehicle-11", "vehicle_capacity": 800, "vehicle_volumes": 5.368, "route": ["150165", "609289", "627943", "629017", "639405", "639405", "638382", "639510", "639510", "639798", "150165"], "job_group_id": ["DDpt", "P16", "D3", "P13", "D18", "P8", "P29", "D8", "P2", "D27", "Dpt"], "job_id_list": ["DDpt", "PO-017", "DO-003", "PO-013", "DO-018", "PO-008", "PO-030", "DO-008", "PO-002", "DO-028", "Dpt"], "end_customer_name": ["DDpt", "customer-023", "customer-033", "customer-007", "customer-005", "customer-005", "customer-020", "customer-028", "customer-028", "customer-030", "Dpt"], "end_customer_id": ["DDpt", "C-023", "C-033", "C-007", "C-005", "C-005", "C-020", "C-028", "C-028", "C-030", "Dpt"], "time": [["10:00:00", "10:00:00"], ["10:11:00", "10:28:00"], ["10:36:00", "10:47:00"], ["10:52:00", "11:11:00"], ["11:14:00", "11:24:00"], ["11:24:00", "11:34:00"], ["11:36:00", "11:50:00"], ["12:31:00", "12:43:00"], ["12:43:00", "12:55:00"], ["13:00:00", "13:17:00"], ["13:40:00", "13:40:00"]], "service_time": [0, 17, 11, 19, 10, 10, 14, 12, 12, 17, 0], "load_weight": [119, 119, 178, 163, 194, 169, 199, 266, 192, 210, 205], "load_volume": [1.503174, 1.503174, 1.630674, 1.004626, 1.582966, 1.03824, 1.426752, 1.580752, 1.254272, 1.446728, 1.440808], "load_insurance": [4, 4, 5, 4, 5, 4, 5, 6, 5, 6, 5], "total_time_min": 340, "total_distance_m": 43302.0, "max_load_weight": 266, "weight_utilization": 0.3325, "max_load_volume": 1.630674, "volume_utilization": 0.303776825633383, "centroid_coordinate": [1.3259244, 103.67465]}, "vehicle-2": {"vehicle_id": "vehicle-2", "vehicle_capacity": 3200, "vehicle_volumes": 18.008298, "route": ["150165", "469331", "486399", "486399", "486399", "508918", "508948", "498793", "498793", "737854", "737854", "150165"], "job_group_id": ["DDpt", "D11", "D14", "D10", "D26", "P3", "P22", "P10", "D7", "P14", "D6", "Dpt"], "job_id_list": ["DDpt", "DO-011", "DO-014", "DO-010", "DO-026", "PO-003", "PO-023", "PO-010", "DO-007", "PO-015", "DO-006", "Dpt"], "end_customer_name": ["DDpt", "customer-009", "customer-038", "customer-038", "customer-038", "customer-004", "customer-025", "customer-049", "customer-049", "customer-031", "customer-031", "Dpt"], "end_customer_id": ["DDpt", "C-009", "C-038", "C-038", "C-038", "C-004", "C-025", "C-049", "C-049", "C-031", "C-031", "Dpt"], "time": [["10:00:00", "10:00:00"], ["10:15:00", "10:30:00"], ["10:34:00", "10:52:00"], ["10:52:00", "11:10:00"], ["11:10:00", "11:28:00"], ["11:33:00", "11:43:00"], ["11:43:00", "12:02:00"], ["12:31:00", "12:50:00"], ["12:50:00", "13:09:00"], ["13:36:00", "13:49:00"], ["13:49:00", "14:02:00"], ["14:22:00", "14:22:00"]], "service_time": [0, 15, 18, 18, 18, 10, 19, 19, 19, 13, 13, 0], "load_weight": [346, 346, 307, 244, 196, 120, 150, 162, 170, 122, 129, 57], "load_volume": [5.038737, 5.038737, 3.764337, 3.731535, 3.348999, 3.256335, 3.278721, 3.563733, 4.116285, 1.72371, 2.736638, 1.872878], "load_insurance": [6, 6, 5, 4, 3, 2, 3, 4, 5, 4, 5, 4], "total_time_min": 382, "total_distance_m": 66507.0, "max_load_weight": 346, "weight_utilization": 0.108125, "max_load_volume": 5.038737, "volume_utilization": 0.27980084514372205, "centroid_coordinate": [1.3696433, 103.94885]}, "vehicle-1": {"vehicle_id": "vehicle-1", "vehicle_capacity": 4800, "vehicle_volumes": 41.0821632, "route": ["150165", "099253", "099253", "486796", "486796", "498793", "498793", "819454", "489947", "415926", "415926", "415926", "150165"], "job_group_id": ["DDpt", "D15", "P15", "P4", "P5", "P19", "P17", "D25", "P12", "P28", "D23", "P23", "Dpt"], "job_id_list": ["DDpt", "DO-015", "PO-016", "PO-004", "PO-005", "PO-020", "PO-018", "DO-025", "PO-012 | PO-014", "PO-029", "DO-023", "PO-024", "Dpt"], "end_customer_name": ["DDpt", "customer-024", "customer-024", "customer-014", "customer-014", "customer-049", "customer-049", "customer-019", "customer-016", "customer-006", "customer-006", "customer-006", "Dpt"], "end_customer_id": ["DDpt", "C-024", "C-024", "C-014", "C-014", "C-049", "C-049", "C-019", "C-016", "C-006", "C-006", "C-006", "Dpt"], "time": [["08:00:00", "08:00:00"], ["08:02:00", "08:18:00"], ["08:18:00", "08:34:00"], ["08:52:00", "09:11:00"], ["09:11:00", "09:30:00"], ["09:36:00", "09:55:00"], ["09:55:00", "10:14:00"], ["10:15:00", "10:27:00"], ["10:33:00", "10:51:00"], ["10:56:00", "11:12:00"], ["11:12:00", "11:28:00"], ["11:28:00", "11:44:00"], ["12:31:00", "12:31:00"]], "service_time": [0, 16, 16, 19, 19, 19, 19, 12, 18, 16, 16, 16, 0], "load_weight": [42, 42, 40, 81, 145, 220, 237, 275, 260, 397, 459, 434, 463], "load_volume": [1.436172, 1.436172, 1.257876, 2.128108, 2.204608, 3.732268, 4.969868, 7.079318, 6.64817, 8.24027, 8.67035, 7.843622, 8.26211], "load_insurance": [3, 3, 2, 3, 4, 5, 6, 7, 6, 7, 8, 7, 8], "total_time_min": 271, "total_distance_m": 50035.666666666664, "max_load_weight": 463, "weight_utilization": 0.09645833333333333, "max_load_volume": 8.67035, "volume_utilization": 0.21104901311525875, "centroid_coordinate": [1.3335403, 103.93316]}, "vehicle-3": {"vehicle_id": "vehicle-3", "vehicle_capacity": 4800, "vehicle_volumes": 41.0821632, "route": ["150165", "189702", "339156", "150165"], "job_group_id": ["DDpt", "D28", "D5", "Dpt"], "job_id_list": ["DDpt", "DO-029", "DO-005", "Dpt"], "end_customer_name": ["DDpt", "customer-022", "customer-027", "Dpt"], "end_customer_id": ["DDpt", "C-022", "C-027", "Dpt"], "time": [["10:00:00", "10:00:00"], ["10:04:00", "10:20:00"], ["10:22:00", "10:39:00"], ["10:45:00", "10:45:00"]], "service_time": [0, 16, 17, 0], "load_weight": [46, 46, 21, 0], "load_volume": [2.517016, 2.517016, 0.488236, 0.0], "load_insurance": [2, 2, 1, 0], "total_time_min": 165, "total_distance_m": 13830.666666666666, "max_load_weight": 46, "weight_utilization": 0.009583333333333333, "max_load_volume": 2.517016, "volume_utilization": 0.06126785456127102, "centroid_coordinate": [1.3064109, 103.8616]}, "vehicle-4": {"vehicle_id": "vehicle-4", "vehicle_capacity": 4800, "vehicle_volumes": 41.0821632, "route": ["150165", "168593", "048624", "048624", "059567", "609923", "609923", "608924", "608924", "554369", "554369", "738308", "738428", "738428", "628342", "628342", "150165"], "job_group_id": ["DDpt", "P24", "D17", "P20", "D12", "P21", "D1", "P9", "P1", "D16", "P7", "P26", "P6", "D4", "P25", "P27", "Dpt"], "job_id_list": ["DDpt", "PO-025", "DO-017 | DO-027", "PO-021", "DO-012", "PO-022", "DO-001", "PO-009", "PO-001", "DO-016", "PO-007", "PO-027", "PO-006", "DO-004", "PO-026", "PO-028", "Dpt"], "end_customer_name": ["DDpt", "customer-040", "customer-046", "customer-046", "customer-043", "customer-032", "customer-032", "customer-039", "customer-039", "customer-003", "customer-003", "customer-042", "customer-047", "customer-047", "customer-035", "customer-035", "Dpt"], "end_customer_id": ["DDpt", "C-040", "C-046", "C-046", "C-043", "C-032", "C-032", "C-039", "C-039", "C-003", "C-003", "C-042", "C-047", "C-047", "C-035", "C-035", "Dpt"], "time": [["08:00:00", "08:00:00"], ["08:01:00", "08:15:00"], ["08:18:00", "08:37:00"], ["08:37:00", "08:56:00"], ["08:57:00", "09:08:00"], ["09:21:00", "09:33:00"], ["09:33:00", "09:45:00"], ["09:45:00", "09:58:00"], ["10:00:00", "10:13:00"], ["10:32:00", "10:46:00"], ["10:46:00", "11:00:00"], ["11:12:00", "11:32:00"], ["11:32:00", "11:45:00"], ["11:45:00", "11:58:00"], ["12:31:00", "12:41:00"], ["12:41:00", "12:51:00"], ["13:12:00", "13:12:00"]], "service_time": [0, 14, 19, 19, 11, 12, 12, 13, 13, 14, 14, 20, 13, 13, 10, 10, 0], "load_weight": [171, 171, 234, 199, 243, 241, 243, 233, 257, 331, 262, 301, 332, 409, 354, 420, 472], "load_volume": [1.121982, 1.121982, 1.460334, 1.13634, 3.950928, 3.700128, 5.89143, 5.65143, 5.67691, 5.7949, 5.5303, 5.77799, 7.216622, 7.255382, 7.212794, 7.227594, 9.39861], "load_insurance": [5, 5, 6, 5, 6, 5, 6, 5, 6, 7, 6, 7, 8, 9, 8, 9, 10], "total_time_min": 312, "total_distance_m": 84229.33333333333, "max_load_weight": 472, "weight_utilization": 0.09833333333333333, "max_load_volume": 9.39861, "volume_utilization": 0.22877592774861477, "centroid_coordinate": [1.3439802, 103.7898]}},"deployed_vehicle":6,"total_cost":1234082,"volume_util":0.5,"dropped_jobs":"{}","solver_status":"ROUTING_SUCCESS: Problem solved successfully.","total_jobs":{"total": 58, "pickup_jobs": 29, "delivery_jobs": 29},"plan_timestamp":"2022-05-17 11:48:58","output_status":"Success! All jobs can be served!","engine_code":"FRES01"} + description: |+ + Fleet Routing Engine response + job_table: + type: object + default: true + example: 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+ description: |+ + The job table that was inputted to the Job Data Preprocess API that is correspondent to the fre_response (must contain fragility, upright_requirement, and weight_bearing) + lpeinput: + type: object + required: + - job_table + - vehicle_no + - vehicle_length + - vehicle_breadth + - vehicle_height + - weight_capacity + properties: + job_table: + type: object + default: true + description: |+ + Job table that has the description of the cargoes and the load/unloading sequence + example: 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+ vehicle_no: + type: string + description: |+ + Unique vehicle identification code + example: SG123XX + vehicle_length: + type: float + description: |+ + The length of the available compartment of the vehicle in meter unit + example: 2.1 + vehicle_breadth: + type: float + description: |+ + The breadth of the available compartment of the vehicle in meter unit + example: 2.1 + vehicle_height: + type: float + description: |+ + The height of the available compartment of the vehicle in meter unit + example: 2.1 + weight_capacity: + type: float + description: |+ + The weight capacity of the vehicle + example: 5000 + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From bf4b56c902a63a0e5f42a43e72dd6b4bcf28497f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 23 May 2022 14:23:38 +0530 Subject: [PATCH 4312/5916] Update fleet_routing_engine.yaml From b2700d25269a5676f9a9c4e175cda541671cd7d6 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:56:13 +0800 Subject: [PATCH 4313/5916] Update trajectory_clustering.yaml --- data/trajectory_clustering.yaml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/data/trajectory_clustering.yaml b/data/trajectory_clustering.yaml index aee311c3d..81444c36e 100644 --- a/data/trajectory_clustering.yaml +++ b/data/trajectory_clustering.yaml @@ -120,11 +120,11 @@ message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - Success/Failure unauthorized: type: object properties: @@ -262,7 +262,8 @@ properties: tid: x-name: tid - type: string + type: integer + format: int32 default: false example: 61568 description: |+ @@ -277,6 +278,7 @@ x: x-name: x type: integer + format: int32 default: false example: 888 description: |+ @@ -284,6 +286,7 @@ y: x-name: "y" type: integer + format: int32 default: false example: 2463 description: |+ From 8e4acff079301232eebfa18af23f0f07abf4d429 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 17:32:35 +0800 Subject: [PATCH 4314/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index 008db19cc..30d1a0a41 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -249,10 +249,12 @@ components: properties: total: type: integer + format: int32 example: 986 description: Total number of records max_score: - type: float + type: number + format: float example: 1.0 description: The highest score value hits: @@ -290,14 +292,17 @@ components: example: "pet_specialist" postalcode: type: integer + format: int32 description: Postal code of a block example: 560720 unit: - type: string + type: integer + format: int32 description: Unit number example: "4102" level: - type: string + type: integer + format: int32 description: Floor level example: "01" source: @@ -370,7 +375,8 @@ components: description: Record type example: "shop" block: - type: string + type: integer + format: int description: Block number example: "720" street: @@ -380,12 +386,12 @@ components: xcoord: type: number format: float - description: SVY21 X coordinates + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 29520.58 ycoord: type: number format: float - description: SVY21 Y coordinates + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) example: 39311.68 location: type: object From 5fb0485d822540c704b536e206d6a4eb11bdb593 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 23 May 2022 17:35:14 +0800 Subject: [PATCH 4315/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index 67b83cd4f..a736c29d3 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -315,7 +315,8 @@ components: description: Number of residents example: 54 block: - type: string + type: integer + format: int32 description: Address block example: "34" street: From 703c19a32c2944cb8bfa07b091e32f095884820b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 23 May 2022 16:02:26 +0530 Subject: [PATCH 4316/5916] Update sentence_ranking.yaml --- nlp/sentence_ranking.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index 3dd15242a..d71bf2e8f 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -13,10 +13,10 @@ info: This Sentence Ranking microservice is useful for extractive summaries, which involves picking up the most important phrases and sentences from the original text input and reusing those to make up the summary. It can be used in text analytics as well. x-subscribelink: text_importance_model servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 02, 2022" + description: "Published Date - May 23, 2022" paths: /microservices/nlp/sentenceranking/v0/getpredictions: post: @@ -244,7 +244,7 @@ components: items: oneOf: - type: string - example: Published Date - May 02, 2022 + example: Published Date - May 23, 2022 description: "Initial version of API." input: type: object From 6c65086f473c0c9f83df6bc480e2d1d6ee329ee3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 23 May 2022 21:11:21 +0530 Subject: [PATCH 4317/5916] Update machine_translation.yaml --- nlp/machine_translation.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/machine_translation.yaml b/nlp/machine_translation.yaml index db50fc7a2..8ab8b6bcf 100644 --- a/nlp/machine_translation.yaml +++ b/nlp/machine_translation.yaml @@ -20,10 +20,10 @@ info: NLP microservices provided by sentient.io. x-subscribelink: machine_translation servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 16, 2022" + description: "Published Date - May 23, 2022" paths: /microservices/nlp/translate/v0/getpredictions: post: @@ -216,7 +216,7 @@ components: items: oneOf: - type: string - example: Published Date - May 16, 2022 + example: Published Date - May 23, 2022 description: Initial version with fixes for bugs raised related to limit not being set and added error handling logic. input: type: object From 1a4ae4ec3aa8bda5b13e1bcec071be1f264e051d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 24 May 2022 10:10:04 +0530 Subject: [PATCH 4318/5916] Update machine_translation.yaml --- nlp/machine_translation.yaml | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/nlp/machine_translation.yaml b/nlp/machine_translation.yaml index 8ab8b6bcf..42ddeff89 100644 --- a/nlp/machine_translation.yaml +++ b/nlp/machine_translation.yaml @@ -12,13 +12,23 @@ info: - en - english - ms - malay (minangkabau) - ta - tamil - - **Suggested usecases:** - It can be used to translate text for any applications, and can be augmented to internationalize NLP microservices provided by sentient.io. x-subscribelink: machine_translation + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 500 characters/Call + x-inputfilelimit: |+ + Process up to 500 characters per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 500 characters and input might be single sentence. + x-apidetailsdesc: |+ + This NLP microservice provides machine translation servers: - url: 'https://apis.sentient.io' tags: @@ -217,6 +227,7 @@ components: oneOf: - type: string example: Published Date - May 23, 2022 + x-details: Initial version release description: Initial version with fixes for bugs raised related to limit not being set and added error handling logic. input: type: object From 76585023ba73682b650a3b76456fbede49c9e96c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 24 May 2022 10:10:32 +0530 Subject: [PATCH 4319/5916] Update sentence_ranking.yaml --- nlp/sentence_ranking.yaml | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index d71bf2e8f..9fd901e0b 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -11,7 +11,20 @@ info: x-additionalinfo: |+ **Suggested usecases:** This Sentence Ranking microservice is useful for extractive summaries, which involves picking up the most important phrases and sentences from the original text input and reusing those to make up the summary. It can be used in text analytics as well. - x-subscribelink: text_importance_model + x-subscribelink: sentence_ranking + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters and input might be single sentence. + x-apidetailsdesc: |+ + Text blurb and ranks the sentences based on their importance score. servers: - url: 'https://apis.sentient.io' tags: @@ -245,6 +258,7 @@ components: oneOf: - type: string example: Published Date - May 23, 2022 + x-details: Initial version release description: "Initial version of API." input: type: object From be0116f77b33d01773f9ef8346a27084614a33c0 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Tue, 24 May 2022 14:47:52 +0800 Subject: [PATCH 4320/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 6af86d8b3..d3856c6f4 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -175,6 +175,10 @@ components: academia: x-name: academia type: array + example: + - entity: 日本流 + start: 128 + end: 131 description: "Academic field, school, method of art or science" animal: x-name: animal From 25299cf6e1434c71350c59ef31521160af82df29 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Tue, 24 May 2022 15:34:39 +0800 Subject: [PATCH 4321/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 111 +++++++++++++++++++++++++++ 1 file changed, 111 insertions(+) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index d3856c6f4..e4b5057f8 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -183,14 +183,32 @@ components: animal: x-name: animal type: array + example: + - entity: ミツバチ + start: 56 + end: 60 description: "Animals (includes insects, birds, reptiles, mammals and fishes, etc)" character: x-name: character type: array + example: + - entity: トトロ + start: 16 + end: 19 description: "A name of a fictional character. This includes the characters of a story.A name of a fictional animal that appear in more than one work, like \"werewolf\" is not included here but in natural_object Category. Other fictional animal that only appear in a specific work, like \"Pikachu\", is included." color: x-name: color type: array + example: + - entity: 赤 + start: 122 + end: 123 + - entity: 青 + start: 124 + end: 125 + - entity: 緑 + start: 126 + end: 127 description: "Color" culture: x-name: culture @@ -199,10 +217,21 @@ components: date: x-name: date type: array + example: + - entity: 11日 + start: 6 + end: 9 + - entity: 2019年 + start: 123 + end: 128 description: "Expression of a date" disease: x-name: disease type: array + example: + - entity: 天然痘ウイルス + start: 159 + end: 166 description: "Disease or injury" entertainment: x-name: entertainment @@ -211,6 +240,10 @@ components: event: x-name: event type: array + example: + - entity: 世界経済フォーラム + start: 222 + end: 231 description: "Event, festival, occasion or phenomenon" email: x-name: email @@ -219,10 +252,18 @@ components: facility: x-name: facility type: array + example: + - entity: 仁王門 + start: 56 + end: 60 description: "Place or building that provides a particular service (including hotels, airports, stations, etc) " food: x-name: food type: array + example: + - entity: すし + start: 0 + end: 2 description: "Food, dish or drink" financial_product: x-name: financial_product @@ -231,6 +272,10 @@ components: geopolitical: x-name: geopolitical type: array + example: + - entity: 青島 + start: 193 + end: 196 description: "Geopolitical entitity (including countries, cities, states, etc)" identification_number: x-name: identification_number @@ -239,22 +284,45 @@ components: identity_groups: x-name: identity_groups type: array + example: + - entity: 日本人 + start: 396 + end: 399 description: "Nationalities, religious, ethnic and political groups" language: x-name: language type: array + example: + - entity: 英語 + start: 107 + end: 109 description: "Language, language family or dialect" law: x-name: law type: array + example: + - entity: 9条 + start: 137 + end: 139 description: "Law, statute, article or order" location: x-name: location type: array + example: + - entity: サンフランシスコ + start: 349 + end: 357 + - entity: ドイツ + start: 62 + end: 65 description: "Place or location (including non-geopolitical entities)" media: x-name: media type: array + example: + - entity: 月組スター + start: 0 + end: 5 description: "Physical media (e.g. print, video record), production (e.g. animation, music video, television advertisement, television show, movie) or broadcast programs (e.g. television & radio)" measurement: x-name: measurement @@ -271,6 +339,10 @@ components: money: x-name: money type: array + example: + - entity: 6千万円 + start: 786 + end: 790 description: "Currency or physical representation of money (e.g. bill, banknote, or coin)" musical_instrument: x-name: musical_instrument @@ -279,6 +351,10 @@ components: natural_object: x-name: natural_object type: array + example: + - entity: 竹 + start: 282 + end: 289 description: "Natural object or material (including chemical compounds, mineral and living things)" ordinal: x-name: ordinal @@ -291,6 +367,10 @@ components: offense: x-name: offense type: array + example: + - entity: 痴漢 + start: 0 + end: 2 description: "Act of crime or rap" organization: x-name: organization @@ -311,6 +391,10 @@ components: percent: x-name: percent type: array + example: + - entity: 約半分 + start: 274 + end: 277 description: "Percentage" person: x-name: person @@ -366,6 +450,10 @@ components: sports: x-name: sports type: array + example: + - entity: サッカー + start: 1 + end: 5 description: "A name of a sport in which the superiority of the player can be judged." stock_index: x-name: stock_index @@ -378,10 +466,18 @@ components: time: x-name: time type: array + example: + - entity: 江戸時代 + start: 174 + end: 176 description: "Expression that refers to a point in time or period" title: x-name: title type: array + example: + - entity: 株主 + start: 174 + end: 176 description: "Name of title, position, occupation or position that indicates person's status" url: x-name: url @@ -390,14 +486,29 @@ components: vehicle: x-name: vehicle type: array + example: + - entity: ジャガー + start: 232 + end: 236 + - entity: ポルシェ + start: 237 + end: 241 description: "Vehicle, including train, ship and aircraft" work_of_art: x-name: work_of_art type: array + example: + - entity: 天空の城ラピュタ + start: 1 + end: 9 description: "Music, songs, books, paintings and any other form of written or verbal work" weapon: x-name: weapon type: array + example: + - entity: 核 + start: 679 + end: 680 description: "Weapon, arm or armament" From ca4b5b22873ade635f8e373849d48c3ef64055a1 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 24 May 2022 17:03:14 +0800 Subject: [PATCH 4322/5916] textsum yaml updated for new model version3 --- nlp/text_summarization.yaml | 39 ++++- nlp/text_summarization_v0.2.yaml | 269 +++++++++++++++++++++++++++++++ 2 files changed, 303 insertions(+), 5 deletions(-) create mode 100644 nlp/text_summarization_v0.2.yaml diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index f29929fd4..582751fec 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -7,7 +7,7 @@ The input text should be a minimum of 100 words and a maximum of 512 words. For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. - version: '0.2.0' + version: '1.2.0' x-subscribelink: text_summarization x-apitype: small file x-apitypedescription: |+ @@ -23,12 +23,12 @@ x-apidetailsdesc: |+ Input text blurb and generates a summary of up to a maximum of 168 words. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - - name: "v0.2.0" - description: "Published Date - Aug 11, 2021" + - name: "v1.2.0" + description: "Published Date - May 24, 2022" paths: - /microservices/nlp/textsummarisation/v0/getpredictions: + /microservices/nlp/textsummarisation/v1/getpredictions: post: tags: - v0.2.0 @@ -259,6 +259,35 @@ example: "More than 2,000 Build-To-Order (BTO) Housing Board flats in Singapore's newest large estate, Bidadari, have been completed, with families progressively moving into their new homes.These flats are spread across three projects - Alkaff Vista, Alkaff LakeView and Alkaff CourtView - which were launched for sale by the HDB in 2015.More than 70 per cent of residents have moved into their new homes in Alkaff Vista and Alkaff LakeView, said the HDB in an update yesterday.About 50 per cent of residents have done the same at Alkaff CourtView, where works on community spaces are still in progress. All 12 public housing developments in Bidadari have been rolled out, with the final three projects - Bartley GreenRise, ParkEdge @ Bidadari and Alkaff Breeze - launched in this month's BTO sales exercise.Bartley GreenRise will be the last BTO site to be ready, and is estimated to be completed in the second quarter of 2025. The BTO flats in the 93ha Bidadari estate have been highly sought after by home seekers. The five-room flats typically drew more applicants than there were available units.This is despite Bidadari's past as a grave site, with some drawing similarities between the estate and the mature town of Bishan, which was also once a cemetery.Most of the units in Alkaff LakeView and Alkaff CourtView have been designed with structural columns tucked to the edges to allow residents greater flexibility in configuring their home layouts." description: |+ Input text + max_input_len: + x-name: max_input_len + type: integer + default: False + example: 1024 + description: |+ + The model will accept up to max_input_len of subword. + If the input length is higher than max_input_len, the input will be truncated. + Default value is 1024. + Recommended range is between 512 and 1024. + beam_size: + x-name: beam_size + type: integer + default: False + example: 4 + description: |+ + This parameter will determine how many nodes to search at each level. + The bigger the number is the more time it takes to complete. + Default value is 4. + Recommended range is between 2-4. + no_repeating_N_grams: + x-name: no_repeating_N_grams + type: integer + default: False + example: 3 + description: |+ + Stop the decoding algorithm from generating the same N grams. + Default value is 3. + Recommended value is 3. securitySchemes: APIAuthorizer: diff --git a/nlp/text_summarization_v0.2.yaml b/nlp/text_summarization_v0.2.yaml new file mode 100644 index 000000000..9655ee46a --- /dev/null +++ b/nlp/text_summarization_v0.2.yaml @@ -0,0 +1,269 @@ + openapi: 3.0.1 + info: + title: Text Summarization + description: |+ + This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. + + The input text should be a minimum of 100 words and a maximum of 512 words. + + For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. + version: '1.2.0' + x-subscribelink: text_summarization + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 512 words/Call + x-inputfilelimit: |+ + Process up to 512 words per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed more than 512 words. + x-apidetailsdesc: |+ + Input text blurb and generates a summary of up to a maximum of 168 words. + servers: + - url: 'https://dev-apis.sentient.io' + tags: + - name: "v1.2.0" + description: "Published Date - May 24, 2022" + paths: + /microservices/nlp/textsummarisation/v1/getpredictions: + post: + tags: + - v0.2.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message": "Successfully Processed","results": {"score": 2.14511174780278,"text": "50 per cent of residents have moved into their new homes in alkaff lakeview , singapore . this is despite bidadari 's past as a grave site , with some drawing similarities between the estate and the alks ."},"status": "Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json object in the returned results + properties: + score: + type: number + format: float + example: 2.2100781633414535 + description: The confidence score of the summary. + text: + type: string + example: more than 2,000 build-to-orders have been completed by the hdb in 2015. more than 70 per cent of residents have moved into their new homes in alk by 50 per cent in bidadari .y greenrise will be the last bto to be + description: The summarised version of the input text. + + + message: + type: string + example: Successfully Processed + description: Description of the API status. + status: + type: string + example: Success + description: The status of the API call - success/failure. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 11, 2021 + x-details: Model Upgrade + description: Latest version + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 07, 2021 + x-details: Deeper Postprocessing of Summarised text + description: Depreciating on Aug 10,2021 + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - May 12, 2021 + x-details: Postprocessing of Summarised text + description: Depreciating on Jun 06,2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 07, 2021 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: "More than 2,000 Build-To-Order (BTO) Housing Board flats in Singapore's newest large estate, Bidadari, have been completed, with families progressively moving into their new homes.These flats are spread across three projects - Alkaff Vista, Alkaff LakeView and Alkaff CourtView - which were launched for sale by the HDB in 2015.More than 70 per cent of residents have moved into their new homes in Alkaff Vista and Alkaff LakeView, said the HDB in an update yesterday.About 50 per cent of residents have done the same at Alkaff CourtView, where works on community spaces are still in progress. All 12 public housing developments in Bidadari have been rolled out, with the final three projects - Bartley GreenRise, ParkEdge @ Bidadari and Alkaff Breeze - launched in this month's BTO sales exercise.Bartley GreenRise will be the last BTO site to be ready, and is estimated to be completed in the second quarter of 2025. The BTO flats in the 93ha Bidadari estate have been highly sought after by home seekers. The five-room flats typically drew more applicants than there were available units.This is despite Bidadari's past as a grave site, with some drawing similarities between the estate and the mature town of Bishan, which was also once a cemetery.Most of the units in Alkaff LakeView and Alkaff CourtView have been designed with structural columns tucked to the edges to allow residents greater flexibility in configuring their home layouts." + description: |+ + Input text + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 59cf522c6e7cc6b03b5219be2c849ce8941805c9 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 24 May 2022 17:04:29 +0800 Subject: [PATCH 4323/5916] textsum added to index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index c1a281203..8e8d425de 100644 --- a/index.yaml +++ b/index.yaml @@ -164,7 +164,8 @@ nlp: text_summarization: title: Text Summarization versions: - 0.2.0: 'text_summarization.yaml' + 1.2.0: 'text_summarization.yaml' + 0.2.0: 'text_summarization_v0.2.yaml' text_summarization_large_file: title: Text Summarization (Large File) versions: From ae41107ec99756664fbc2cfc830a05b54319321f Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 24 May 2022 17:08:01 +0800 Subject: [PATCH 4324/5916] textsum yaml modified --- nlp/text_summarization.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 582751fec..7d36dc48a 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -215,6 +215,14 @@ versions: type: object properties: + v1.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 24, 2022 + x-details: Model & Code Upgrade + description: Latest version v0.2.0: type: array items: From b5e6f5f41534daf5fe84be389e1b9c1dd76b8e59 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 24 May 2022 18:03:13 +0800 Subject: [PATCH 4325/5916] Japanese ner yaml updated --- nlp/text_summarization.yaml | 40 ++++++++++++++++++------------------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 7d36dc48a..ee1570a79 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -39,7 +39,7 @@ application/json: schema: $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"score": 2.14511174780278,"text": "50 per cent of residents have moved into their new homes in alkaff lakeview , singapore . this is despite bidadari 's past as a grave site , with some drawing similarities between the estate and the alks ."},"status": "Success"} + example: {"message": "Successfully Processed","results": {"data_index":0,"nb_subword_input":344,"nb_subword_output":54,"output_text":"More than 2,000 Build-To-Order (BTO) Housing Board flats in Bidadari have been completed . More than 70 per cent of residents have moved into their new homes in Alkaff Vista and alkaff LakeView .","score":1.2851651553069523,"time_taken":"8 sec"},"status": "Success"} '401': description: Unauthorized content: @@ -277,25 +277,25 @@ If the input length is higher than max_input_len, the input will be truncated. Default value is 1024. Recommended range is between 512 and 1024. - beam_size: - x-name: beam_size - type: integer - default: False - example: 4 - description: |+ - This parameter will determine how many nodes to search at each level. - The bigger the number is the more time it takes to complete. - Default value is 4. - Recommended range is between 2-4. - no_repeating_N_grams: - x-name: no_repeating_N_grams - type: integer - default: False - example: 3 - description: |+ - Stop the decoding algorithm from generating the same N grams. - Default value is 3. - Recommended value is 3. + beam_size: + x-name: beam_size + type: integer + default: False + example: 4 + description: |+ + This parameter will determine how many nodes to search at each level. + The bigger the number is the more time it takes to complete. + Default value is 4. + Recommended range is between 2-4. + no_repeating_N_grams: + x-name: no_repeating_N_grams + type: integer + default: False + example: 3 + description: |+ + Stop the decoding algorithm from generating the same N grams. + Default value is 3. + Recommended value is 3. securitySchemes: APIAuthorizer: From 4e66815e1e49345792bed11bc01bd5b5ae21d795 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 24 May 2022 18:05:45 +0800 Subject: [PATCH 4326/5916] text sum yaml edited --- nlp/text_summarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index ee1570a79..31d70a3f0 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -39,7 +39,7 @@ application/json: schema: $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"data_index":0,"nb_subword_input":344,"nb_subword_output":54,"output_text":"More than 2,000 Build-To-Order (BTO) Housing Board flats in Bidadari have been completed . More than 70 per cent of residents have moved into their new homes in Alkaff Vista and alkaff LakeView .","score":1.2851651553069523,"time_taken":"8 sec"},"status": "Success"} + example: {"message": "Successfully Processed","results": {"score": 2.14511174780278,"text": "50 per cent of residents have moved into their new homes in alkaff lakeview , singapore . this is despite bidadari 's past as a grave site , with some drawing similarities between the estate and the alks ."},"status": "Success"} '401': description: Unauthorized content: From 689edf99e23b0a4bd51e16b6f86a718d4b9551f7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 24 May 2022 16:23:26 +0530 Subject: [PATCH 4327/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index e363291e5..23a9df380 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -27,10 +27,10 @@ info: x-notes: |+ File size cannot exceed 5 MB. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Mar 23, 2022" + description: "Published Date - Mar 24, 2022" paths: /microservices/cv/fsod/v0/getpredictions: post: @@ -236,7 +236,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 23, 2022 + example: Published Date - Mar 24, 2022 x-details: Initial version release description: Latest Version input: From ffaaddd7d7766d67a81d6a73a00ed228cb608215 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 25 May 2022 12:34:44 +0530 Subject: [PATCH 4328/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 5a81dfb68..e93c52446 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -10,8 +10,6 @@ info: version: '0.1.0' x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html - x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/asrsch_prod.pdf x-subscribelink: automatic_speech_recognition_chi x-apitype: large file x-apitypedescription: |+ From 2cfb0210f4dfcc64474b349bb9841effbb22c465 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 25 May 2022 17:05:30 +0800 Subject: [PATCH 4329/5916] Removed unwanted classes --- nlp/named-entity_recognition_jp.yaml | 62 +++------------------------- 1 file changed, 5 insertions(+), 57 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index e4b5057f8..83f06854b 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -209,11 +209,7 @@ components: - entity: 緑 start: 126 end: 127 - description: "Color" - culture: - x-name: culture - type: array - description: "Culture, civilization, or art" + description: "Color" date: x-name: date type: array @@ -233,10 +229,6 @@ components: start: 159 end: 166 description: "Disease or injury" - entertainment: - x-name: entertainment - type: array - description: "Entertainment activity (including shows performed on stage) or objects (including physical or video games)" event: x-name: event type: array @@ -244,11 +236,7 @@ components: - entity: 世界経済フォーラム start: 222 end: 231 - description: "Event, festival, occasion or phenomenon" - email: - x-name: email - type: array - description: "Email address" + description: "Event, festival, occasion or phenomenon" facility: x-name: facility type: array @@ -265,10 +253,6 @@ components: start: 0 end: 2 description: "Food, dish or drink" - financial_product: - x-name: financial_product - type: array - description: "Financial products such as stocks or shares" geopolitical: x-name: geopolitical type: array @@ -277,10 +261,6 @@ components: start: 193 end: 196 description: "Geopolitical entitity (including countries, cities, states, etc)" - identification_number: - x-name: identification_number - type: array - description: "Identification number. These can be personal identification numbers (e.g. passport number, driver’s license number or uniform number) or service identification numbers (e.g. flight number, vehicle number) " identity_groups: x-name: identity_groups type: array @@ -332,10 +312,6 @@ components: start: 92 end: 94 description: "Various measurement units (including length, weight, area, volume, temperature, etc)" - medicine: - x-name: medicine - type: array - description: "Drug used to diagnose, cure and treat" money: x-name: money type: array @@ -343,11 +319,7 @@ components: - entity: 6千万円 start: 786 end: 790 - description: "Currency or physical representation of money (e.g. bill, banknote, or coin)" - musical_instrument: - x-name: musical_instrument - type: array - description: "Musical instrument" + description: "Currency or physical representation of money (e.g. bill, banknote, or coin)" natural_object: x-name: natural_object type: array @@ -412,15 +384,7 @@ components: - entity: ナユ start: 98 end: 100 - description: "People, including fictional" - phone: - x-name: phone - type: array - description: "Phone or fax number" - postal_code: - x-name: vehicle - type: array - description: "Postal address that includes a lot number, street number, house number or zip code" + description: "People, including fictional" product: x-name: product type: array @@ -443,10 +407,6 @@ components: start: 79 end: 81 description: "Expression of count or quantification" - relationship: - x-name: relationship - type: array - description: "Family lineage, pedigree or blood relationship" sports: x-name: sports type: array @@ -455,14 +415,6 @@ components: start: 1 end: 5 description: "A name of a sport in which the superiority of the player can be judged." - stock_index: - x-name: stock_index - type: array - description: "Stock market index" - technology: - x-name: technology - type: array - description: "Software, computer program, library, web application, or programming language" time: x-name: time type: array @@ -478,11 +430,7 @@ components: - entity: 株主 start: 174 end: 176 - description: "Name of title, position, occupation or position that indicates person's status" - url: - x-name: url - type: array - description: "Web address or Universal Resource Locator (URL)" + description: "Name of title, position, occupation or position that indicates person's status" vehicle: x-name: vehicle type: array From 8e102fc6aa15ba3ef3d41fabe894f9dc40ffa197 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:43:56 +0800 Subject: [PATCH 4330/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index c59eab15a..cd471fa9e 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -2,7 +2,8 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition CHI description: |+ - This Voice microservice transcribes Chinese speech in the input audio stream into text. The microservice requires the input audio file to be in WAV format at 16 kHz and works best when the audio file consists mostly of speech with no long pauses in between. The server returns the recognition result in a JSON format as a response. The length of your audio **should not exceed 60 seconds**. + This Voice microservice transcribes Chinese speech in the input audio stream into text. The microservice requires the input audio file to be in WAV format at 16 kHz and works best when the audio file consists mostly of speech with no long pauses in between. The server returns the recognition result in a JSON format as a response. + The length of your audio **should not exceed 60 seconds**. x-additionalinfo: |+ Suggested Use Cases: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono. From 3a9acff146309c3ebe1807d1e2a693898553782d Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:44:40 +0800 Subject: [PATCH 4331/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index cd471fa9e..12af1c5d5 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -3,6 +3,7 @@ info: title: Automatic Speech Recognition CHI description: |+ This Voice microservice transcribes Chinese speech in the input audio stream into text. The microservice requires the input audio file to be in WAV format at 16 kHz and works best when the audio file consists mostly of speech with no long pauses in between. The server returns the recognition result in a JSON format as a response. + The length of your audio **should not exceed 60 seconds**. x-additionalinfo: |+ Suggested Use Cases: From 0c48d0b72acb4b72b06ff3de1ce9fa0d7f5efadd Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:47:05 +0800 Subject: [PATCH 4332/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 12af1c5d5..cd471fa9e 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -3,7 +3,6 @@ info: title: Automatic Speech Recognition CHI description: |+ This Voice microservice transcribes Chinese speech in the input audio stream into text. The microservice requires the input audio file to be in WAV format at 16 kHz and works best when the audio file consists mostly of speech with no long pauses in between. The server returns the recognition result in a JSON format as a response. - The length of your audio **should not exceed 60 seconds**. x-additionalinfo: |+ Suggested Use Cases: From 666028b21a32f4a2b48e61d99eb6f80cb287f2a4 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:48:59 +0800 Subject: [PATCH 4333/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 43267a6dc..6a8d88556 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition ENG description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. The input can be bypassed to asr without passing through vad by setting the optional paramater "vad" to false. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - The length of your audio should be **up to 60 seconds**. + This Voice microservice transcribes English speech in the input audio stream into text. + This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean accented audio which is prepared speech (16kHz) and telephony. + The length of your audio **should not exceed 60 seconds**. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From 1c1b107cc0270376154596f34c69c379e40bc44f Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:50:37 +0800 Subject: [PATCH 4334/5916] Update text_to_speech_chi.yaml --- voice/text_to_speech_chi.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/voice/text_to_speech_chi.yaml b/voice/text_to_speech_chi.yaml index 841c2341d..c32fdea05 100644 --- a/voice/text_to_speech_chi.yaml +++ b/voice/text_to_speech_chi.yaml @@ -3,10 +3,8 @@ info: title: Text-To-Speech CHI description: |+ This Voice microservice converts Mandarin text to speech in a female voice. - - The Text-to-Speech AI generated synthesized voice speaks with a native Mandarin accent. - - Do ensure that your text is **within 750 characters**. + User can adjust the pitch and tempo of the the synthesised speech. The Text-to-Speech AI generated synthesized voice speaks with a native Mandarin accent. + The input text **should not exceed 750 characters**. x-additionalinfo: |+ Suggested Use Cases: - Voice bots in contact centers - Deliver a better voice experience for customer service by dynamically generating speech, instead of playing static, pre-recorded audio. Engage with synthesized voices that give callers a sense of familiarity and personalization. From 0fe8e34ddb8991e284ef28b023f2b4dd8d127181 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:51:42 +0800 Subject: [PATCH 4335/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 603b2e9af..2c9be2c8d 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -3,11 +3,9 @@ openapi: 3.0.1 info: title: Text-To-Speech ENG description: |+ - This Voice microservice converts English text to speech in a female voice. - User can adjust the pitch and tempo of the the synthesised speech. - The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. - - The input text should not exceed **3000 characters**. + This Voice microservice converts English text to speech in a female voice. + User can adjust the pitch and tempo of the the synthesised speech. The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. + The input text **should not exceed 2200 characters**. version: 1.2.1 x-subscribelink: text-to-speech_eng x-apitype: small file From dd852c3ab25315282c78a114d7d99f53223b2c12 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:54:41 +0800 Subject: [PATCH 4336/5916] Update landmark_detection.yaml --- computer_vision/landmark_detection.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/computer_vision/landmark_detection.yaml b/computer_vision/landmark_detection.yaml index b80393983..128260494 100644 --- a/computer_vision/landmark_detection.yaml +++ b/computer_vision/landmark_detection.yaml @@ -2,11 +2,9 @@ openapi: 3.0.1 info: title: Landmark Detection description: |+ - This Computer Vision microservice identifies Singapore and Japan landmarks from multiple input images based on location parameter. By default location is Singapore. - + This Computer Vision microservice identifies Singaporean and Japanese landmarks from multiple input images based on the location parameter. The default location is Singapore. The microservice returns the detected landmark and confidence score. - - The size of your image file should **not exceed 5 MB**. + The size of your image file **should not exceed 5 MB**. x-additionalinfo: |+ Suggested Use Cases: - Can be used for geo-targeting apps with map feature or property development planning resource apps. From c11b2c4d33c68808d6f7422a3ceecf29536aa975 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:57:03 +0800 Subject: [PATCH 4337/5916] Update landmark_recognition_jp.yaml --- computer_vision/landmark_recognition_jp.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/computer_vision/landmark_recognition_jp.yaml b/computer_vision/landmark_recognition_jp.yaml index 7c95154c5..79665e906 100644 --- a/computer_vision/landmark_recognition_jp.yaml +++ b/computer_vision/landmark_recognition_jp.yaml @@ -2,11 +2,9 @@ openapi: 3.0.1 info: title: Landmark Detection (JP) description: |+ - This Computer Vision microservice identifies Japan landmarks from multiple input images. - + This Computer Vision microservice identifies Japanese landmarks from multiple input images. The microservice returns the detected landmark and confidence score. - - The size of your image file should **not exceed 5 MB**. + The size of your image file **should not exceed 5 MB**. x-additionalinfo: |+ Suggested Use Cases: - Can be used for geo-targeting apps with map feature or property development planning resource apps. From 3464693ea5129728796a5912d8c685434adcc611 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:58:06 +0800 Subject: [PATCH 4338/5916] Update landmark_recognition_sg.yaml --- computer_vision/landmark_recognition_sg.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/computer_vision/landmark_recognition_sg.yaml b/computer_vision/landmark_recognition_sg.yaml index fda1c12f9..3dce812a8 100644 --- a/computer_vision/landmark_recognition_sg.yaml +++ b/computer_vision/landmark_recognition_sg.yaml @@ -2,11 +2,9 @@ openapi: 3.0.1 info: title: Landmark Detection (SG) description: |+ - This Computer Vision microservice identifies Singapore landmarks from multiple input images. - + This Computer Vision microservice identifies Singaporean landmarks from multiple input images. This microservice returns the detected landmark and confidence score. - - The size of your image file should **not exceed 5 MB**. + The size of your image file **should not exceed 5 MB**. x-additionalinfo: |+ Suggested Use Cases: - Can be used for geo-targeting apps with map feature or property development planning resource apps. From 9107c5a243fdf764c040202c1791c06389c97a42 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 09:59:52 +0800 Subject: [PATCH 4339/5916] Update people_counting.yaml --- computer_vision/people_counting.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/computer_vision/people_counting.yaml b/computer_vision/people_counting.yaml index 98abfb2d1..8e2dbc03d 100644 --- a/computer_vision/people_counting.yaml +++ b/computer_vision/people_counting.yaml @@ -3,10 +3,8 @@ info: title: People Counting description: |+ This Computer Vision microservice tracks and counts people appearing in the input video. - - This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. - - The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. + This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. + The size of your image file **should not exceed 10 MB**, and the image dimension **should be at least 416x416 pixels**. x-additionalinfo: |+ Suggested Use Cases: - Improve visitor experience and optimize operations in retail, leisure, and other sectors - build services to count visitor traffic in venues, measure detailed movements and interactions, and visualize that data to better understand what is happening in within a certain spaces. For example, one can optimize traffic, staff and marketing strategies to increase conversion rates and profits with actionable data. Businesses can use visitor count as a benchmark to figure out the conversion rate for a certain spot to see the real performance. Efficiently allocating the number of staff according to hourly visitor traffic will also create value in terms of revenue, profit and efficiency. From da9ff2ee9517cd566665113ed49f8fdc5ba36519 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 10:03:15 +0800 Subject: [PATCH 4340/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index c5ac67622..4d46d71e1 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Base64 Decoder description: |+ - This Utility microservice converts a Base64 encoded text string to a binary file.

For the reverse process (convert binary file to Base64 encoded text string), check out the Base64 File Encode microservice. + This Utility microservice converts a Base64 encoded text string to a binary file.

For the reverse process (convert binary file to Base64 encoded text string), check out the Base64 File Encoder microservice. x-additionalinfo: |+ Suggested Use Cases: - As a post-processor for microservices that only outputs Base64 encoded text From 2ce18d28e95f8247f98a8b3e36a52bfd3e96e8e1 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 10:23:46 +0800 Subject: [PATCH 4341/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 6fa7c98b2..ee2ccc5a2 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -2,9 +2,8 @@ openapi: 3.0.1 info: title: Receipt Scanner description: |+ - This Computer Vision microservice takes in receipts and extracts meaningful and structured data, including the total amount, tax amount, date and merchant name. - - The API will return a JSON containing all data the could be extracted, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. + This Computer Vision microservice takes in receipts and extracts meaningful and structured data, including the total amount, tax amount, date, and merchant name. + The API will return a JSON containing all the extracted data, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer-generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. version: '0.1.0' x-subscribelink: receipt_scanner x-apitype: small file From d1f6c4d29d06e166a7ac2a07ca2fabd9ba290f2c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 26 May 2022 11:10:23 +0530 Subject: [PATCH 4342/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index cd471fa9e..6d0ce2548 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -254,13 +254,7 @@ components: default: false example: false description: - Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. - enable_words: - type: boolean - default: false - example: false - description: - Specifies whether to return the information about words. Default value false. + Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. versions: type: object properties: From 2477535a1f6a026df05569254a7de0e171ce9f14 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 14:25:28 +0800 Subject: [PATCH 4343/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index 18ff67a98..d43446b85 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -2,7 +2,9 @@ openapi: 3.0.1 info: title: Base64 Encoder description: |+ - This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive and font files. See documentation for the detailed list of supported file formats.

User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML).

For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decode microservice. + This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive, and font files. See documentation for the detailed list of supported file formats. + User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML). + For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decode microservice. x-additionalinfo: |+ Suggested Use Cases: - As a pre-processor for microservices that only takes in Base64 inputs From 0f30caaf8fa88232b620dddc2bcd5e47bdce8263 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 14:27:14 +0800 Subject: [PATCH 4344/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 00cf25437..2e6b3c8ff 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: CSV-JSON Convertor description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. + This Utility microservice converts the input CSV file to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - The size of your file should **not exceed 3.5 MB**. + The size of your file **should not exceed 3.5 MB**. x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. From c99673abf7b1b48437c64cc9f1770c08c8ce730f Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 14:49:02 +0800 Subject: [PATCH 4345/5916] Update urls_retrieval.yaml --- utility/urls_retrieval.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/urls_retrieval.yaml b/utility/urls_retrieval.yaml index d5cb2f70a..1d8ac3631 100644 --- a/utility/urls_retrieval.yaml +++ b/utility/urls_retrieval.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: URLs Retrieval description: |+ - This Utility microservice crawls and retrieves content from the input URLs, up to the specified depth. - - Default depth is 0 and maximum number of URLs is 500. + This Utility microservice crawls and retrieves content from the input URLs, up to the specified depth. The specified depth refers to the index of the page away from the original landing page. i.e Depth = 1 is one click away from the input URL. + The default depth is 0 and the maximum number of URLs retrieved is 500. + x-additionalinfo: |+ Suggested Use Cases: - Use this microservice to update web content or indices of other sites' web content. From 5c3aca02b659f7b41552c431dcce0e4ecb8ca554 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 15:00:01 +0800 Subject: [PATCH 4346/5916] Update named-entity_recognition_eng.yaml --- nlp/named-entity_recognition_eng.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index ccf059cbd..54ac4804e 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -2,13 +2,13 @@ openapi: 3.0.1 info: title: Named-Entity Recognition ENG description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text and also returns the entity start and endpositions. - - The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - Do ensure that your text is within **5000 characters**. + This NLP microservice locates and classifies the named-entity classes from input unstructured English text and also returns the entity start and end positions. + + The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + The input text **should not exceed 5000 characters**. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From f0e096f0c1ebd27b30f97dd8f095c575221efcca Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 15:08:04 +0800 Subject: [PATCH 4347/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 83f06854b..650dcfbba 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -2,13 +2,15 @@ openapi: 3.0.1 info: title: Named-Entity Recognition JP description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text and also returns the entity start and endpositions. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - Do ensure that your text is within **5000 characters**. + + This NLP microservice locates and classifies the named-entity classes from input unstructured Japanese text. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + The input text **should not exceed 5000 characters**. + version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From a06181bc44cc022486b597dce21df5f64e6c8cde Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 15:22:17 +0800 Subject: [PATCH 4348/5916] Update named-entity_recognition_thai.yaml --- nlp/named-entity_recognition_thai.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 503975720..5e08cce7d 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -2,13 +2,13 @@ openapi: 3.0.1 info: title: Named-Entity Recognition THAI description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text and also returns the entity start and end positions.. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - Do ensure that your text is **within 5000 characters**. + This NLP microservice locates and classifies the named-entity classes from input unstructured Thai text and also returns the entity start and end positions. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + The input text **should not exceed 5000 characters**. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From 1291ee8a78812ef43497cf4fc8e287888a775c87 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 15:37:36 +0800 Subject: [PATCH 4349/5916] Update named-entity_recognition_thai.yaml --- nlp/named-entity_recognition_thai.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index 5e08cce7d..ad7e51dc6 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -3,11 +3,11 @@ info: title: Named-Entity Recognition THAI description: |+ This NLP microservice locates and classifies the named-entity classes from input unstructured Thai text and also returns the entity start and end positions. - + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - + The input text **should not exceed 5000 characters**. version: '2.0.0' x-additionalinfo: |+ From dfc9e4a3949a08de0121b1f470ea6c703ab30491 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 15:38:57 +0800 Subject: [PATCH 4350/5916] Update page_profiler_eng.yaml --- nlp/page_profiler_eng.yaml | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index 8fa7b1607..e752b0f28 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -2,13 +2,14 @@ info: title: Page Profiler ENG description: |+ - This NLP microservice retrieves web content in English from the input URL. - - From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice retrieves web content in English from the input URL. + + From the web content, the microservice then applies natural language processing to extract named-entities and return the output. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + x-subscribelink: page_profiler_eng x-additionalinfo: |+ Suggested Use Cases: From ba36ad2957aafa411980e426aa191307c3688dcd Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 16:13:42 +0800 Subject: [PATCH 4351/5916] Update page_profiler_eng.yaml --- nlp/page_profiler_eng.yaml | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index e752b0f28..c36c3fa74 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -2,13 +2,9 @@ info: title: Page Profiler ENG description: |+ - This NLP microservice retrieves web content in English from the input URL. - From the web content, the microservice then applies natural language processing to extract named-entities and return the output. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice retrieves web content in English from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output. + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. x-subscribelink: page_profiler_eng x-additionalinfo: |+ From 3dc3e202f4474d46122b74ecb9c24a340a909de9 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 16:37:00 +0800 Subject: [PATCH 4352/5916] Update page_profiler_jp.yaml --- nlp/page_profiler_jp.yaml | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/nlp/page_profiler_jp.yaml b/nlp/page_profiler_jp.yaml index ed429bb11..6c3cc63cb 100644 --- a/nlp/page_profiler_jp.yaml +++ b/nlp/page_profiler_jp.yaml @@ -2,11 +2,8 @@ info: title: Page Profiler JP description: |+ - This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output. + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. x-additionalinfo: |+ Suggested Use Cases: - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. From ccdcc019d085be8c88106a1ff84547582a05c63c Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 16:45:06 +0800 Subject: [PATCH 4353/5916] Update named-entity_recognition_eng.yaml --- nlp/named-entity_recognition_eng.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 54ac4804e..c1e51f0b2 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -2,13 +2,13 @@ openapi: 3.0.1 info: title: Named-Entity Recognition ENG description: |+ - This NLP microservice locates and classifies the named-entity classes from input unstructured English text and also returns the entity start and end positions. - - The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - The input text **should not exceed 5000 characters**. + This NLP microservice locates and classifies the named-entity classes from input unstructured English text and also returns the entity start and end positions. + + The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + The input text **should not exceed 5000 characters**. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From c58c4230533da634b60bbad7f2441515ffc52305 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 16:46:50 +0800 Subject: [PATCH 4354/5916] Update page_profiler_eng.yaml --- nlp/page_profiler_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index c36c3fa74..b477ba15c 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -3,8 +3,8 @@ title: Page Profiler ENG description: |+ - This NLP microservice retrieves web content in English from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output. - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice retrieves web content in English from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output. + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. x-subscribelink: page_profiler_eng x-additionalinfo: |+ From 139d9c0a8ffb0e9c7526a88a77af2daa42815dbf Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 16:47:13 +0800 Subject: [PATCH 4355/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 650dcfbba..1bd1a71b9 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -3,13 +3,13 @@ info: title: Named-Entity Recognition JP description: |+ - This NLP microservice locates and classifies the named-entity classes from input unstructured Japanese text. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - The input text **should not exceed 5000 characters**. + This NLP microservice locates and classifies the named-entity classes from input unstructured Japanese text. + + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + + The input text **should not exceed 5000 characters**. version: '2.0.0' x-additionalinfo: |+ From d6e8bb944fcb6a6c111b003d5f67ccffc9c3a9e9 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 26 May 2022 16:48:05 +0800 Subject: [PATCH 4356/5916] Update named-entity_recognition_thai.yaml --- nlp/named-entity_recognition_thai.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index ad7e51dc6..e3e1ac7eb 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -2,13 +2,13 @@ openapi: 3.0.1 info: title: Named-Entity Recognition THAI description: |+ - This NLP microservice locates and classifies the named-entity classes from input unstructured Thai text and also returns the entity start and end positions. + This NLP microservice locates and classifies the named-entity classes from input unstructured Thai text and also returns the entity start and end positions. - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - The input text **should not exceed 5000 characters**. + The input text **should not exceed 5000 characters**. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From 071c8dd45270d058809bceeabbf6a0e21d5692d1 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 16:49:00 +0800 Subject: [PATCH 4357/5916] Update page_profiler_jp.yaml --- nlp/page_profiler_jp.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/nlp/page_profiler_jp.yaml b/nlp/page_profiler_jp.yaml index 6c3cc63cb..b0c2f01d9 100644 --- a/nlp/page_profiler_jp.yaml +++ b/nlp/page_profiler_jp.yaml @@ -2,8 +2,9 @@ info: title: Page Profiler JP description: |+ - This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output. - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output. + The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + x-additionalinfo: |+ Suggested Use Cases: - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. From be3ba70e125b0eb6e43e0760018a60493d4bec29 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 16:53:24 +0800 Subject: [PATCH 4358/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index e55e544b0..58e8398c3 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -2,12 +2,14 @@ openapi: 3.0.1 info: title: spaCy NER description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. - The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + + This NLP microservice locates and classifies the named-entity classes from input unstructured English text, based on the spaCy model. + The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. It can also return the start and end positions of the identified entities in the text by setting the optional parameter "entity_position". This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - - Do ensure that your text is **within 5000 characters**. + + The input text **should not exceed 5000 characters**. + x-additionalinfo: |+ Suggested Use Cases: - Can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning -e.g. tokenization, Parts-of-Speech (PoS) Tagging, Text Classification and Named Entity Recognition. From e70275e5344d8303bb05d267e1e5226f46720114 Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 16:54:00 +0800 Subject: [PATCH 4359/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index 58e8398c3..c7d0ce5f6 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -3,10 +3,8 @@ info: title: spaCy NER description: |+ - This NLP microservice locates and classifies the named-entity classes from input unstructured English text, based on the spaCy model. - The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. - It can also return the start and end positions of the identified entities in the text by setting the optional parameter "entity_position". - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice locates and classifies the named-entity classes from input unstructured English text, based on the spaCy model. The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + It can also return the start and end positions of the identified entities in the text by setting the optional parameter "entity_position". This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. The input text **should not exceed 5000 characters**. From 79daea312972dfc3a2374e63aef319297a1ed6fe Mon Sep 17 00:00:00 2001 From: lionelsentientio <103014451+lionelsentientio@users.noreply.github.com> Date: Thu, 26 May 2022 17:03:45 +0800 Subject: [PATCH 4360/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index 3f1412e0a..a9df6c29f 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: title: D&B Business Check Plus (SG) - description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace (winding up records) of a company which includes the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder, litigation information. Updated daily. + description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace (winding up records) of a company which includes the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships. From 8c8344354d1d7fdedab985eb12563fea31dd0708 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 26 May 2022 16:38:17 +0530 Subject: [PATCH 4361/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 9161b5953..9359243c3 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -3,7 +3,7 @@ info: title: Date Resolution description: |+ This Utility microservice generates a date based on the input string. - version: 'v0.2.0' + version: 'v0.3.0' x-subscribelink: date_resolution x-apitype: small file x-apitypedescription: |+ @@ -21,13 +21,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.2.0" +- name: "v0.3.0" description: "Published Date - Jul 8, 2021" paths: /microservices/utility/dateresolution/v0/getresults: post: tags: - - v0.2.0 + - v0.3.0 responses: '200': description: Ok @@ -228,6 +228,14 @@ components: versions: type: object properties: + v0.3.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Patch release + description: Latest Version v0.2.0: type: array items: From 3a9982a9b82bff3cbf5ba31c2d15d4bf7808fd1a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 26 May 2022 16:41:01 +0530 Subject: [PATCH 4362/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 9359243c3..99d384bb4 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -19,7 +19,7 @@ info: x-apidetailsdesc: |+ Generate Date from String. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.3.0" description: "Published Date - Jul 8, 2021" From ff97cc42fee2187e36156157bdd15796a5a94b30 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 26 May 2022 16:44:32 +0530 Subject: [PATCH 4363/5916] Update get_ip.yaml --- utility/get_ip.yaml | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index 5ed1272a5..f8675222b 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo : |+ Suggested Use Cases: - Use this microservice to get public IP of user. - version: '0.1.0' + version: '0.2.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | One IP /Call @@ -25,13 +25,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.2.0" description: "Published Date - Apr 07, 2021" paths: /microservices/utility/getip/v0/getresults: get: tags: - - v0.1.0 + - v0.2.0 responses: '200': description: Ok @@ -155,6 +155,14 @@ components: versions: type: object properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Patch release + description: Latest Version v0.1.0: type: array items: From dbd37c2214e15c5c61341ee8172bf8b24578d5ff Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 26 May 2022 16:48:45 +0530 Subject: [PATCH 4364/5916] Update get_ip.yaml --- utility/get_ip.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index f8675222b..c5adab3bc 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -23,7 +23,7 @@ info: x-apidetailsdesc: |+ Locates and Identifies website visitors by IP servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Apr 07, 2021" From 2b811186d292fa9a63d8c96d4ce51be50eed7ebe Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:18:06 +0530 Subject: [PATCH 4365/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 8e8d425de..f94dea036 100644 --- a/index.yaml +++ b/index.yaml @@ -328,7 +328,7 @@ utility: date_resolution: title: Date Resolution versions: - 0.2.0: 'date_resolution.yaml' + 0.3.0: 'date_resolution.yaml' data: commercial_directories_hdb_sg: title: HDB Commercial Directories (SG) From 7ea138075fc40926882d3ca574b4b29c63b69d69 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:21:46 +0530 Subject: [PATCH 4366/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 99d384bb4..9b1fd5e72 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -228,7 +228,7 @@ components: versions: type: object properties: - v0.3.0: + v0.3.0: type: array items: oneOf: From 9ac91dfd0846b6f4ae5ac8d3fd61f547f82709f4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:27:53 +0530 Subject: [PATCH 4367/5916] Rename decryption_for_pki_key.yaml to decryption_for_pki_key_v0.1.yaml --- ...cryption_for_pki_key.yaml => decryption_for_pki_key_v0.1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{decryption_for_pki_key.yaml => decryption_for_pki_key_v0.1.yaml} (100%) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key_v0.1.yaml similarity index 100% rename from utility/decryption_for_pki_key.yaml rename to utility/decryption_for_pki_key_v0.1.yaml From 0a406cf4f0ab2c89a421047a39360cdd89eec63b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:30:02 +0530 Subject: [PATCH 4368/5916] Create decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 247 ++++++++++++++++++++++++++++ 1 file changed, 247 insertions(+) create mode 100644 utility/decryption_for_pki_key.yaml diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml new file mode 100644 index 000000000..ad54f2784 --- /dev/null +++ b/utility/decryption_for_pki_key.yaml @@ -0,0 +1,247 @@ +openapi: 3.0.1 +info: + title: Decryption using PKI Key + description: |+ + This Utility microservice decrypts the input text using the input key string. + + This can be used with the PKI Key Generator microservice. + + Do ensure that your text is **within 512 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. + version: '1.0.0' + x-subscribelink: decryption_using_pki_key + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 512 characters/Call + x-inputfilelimit: |+ + Process up to 512 characters of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Size cannot exceed more than 512 characters. + x-apidetailsdesc: |+ + Decrypt encoded string to text by private key. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Aug 30, 2019" +paths: + /microservices/utility/rsadecode/v1/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + result: hello + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + result: + type: string + example: hello + description: Original text + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 30, 2019 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + encodeText: + type: string + default: true + example: 4bafe80478a11553a69... + description: Encrypted text + key: + type: string + default: true + example: MIIEowIBAAKCAQ... + description: Private key + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From a2473fdb39a34f54dbe40dee9b3a01de6621f0ac Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:31:05 +0530 Subject: [PATCH 4369/5916] Update index.yaml --- index.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/index.yaml b/index.yaml index f94dea036..54bff819b 100644 --- a/index.yaml +++ b/index.yaml @@ -282,6 +282,7 @@ utility: decryption_using_pki_key: title: Decryption using PKI Key versions: + 1.0.0: 'decryption_for_pki_key.yaml' 0.1.0: 'decryption_for_pki_key.yaml' wikipedia: title: Wikipedia Retrieval From bd52a11cdf82060d671b61ef01a0837aebb9b6a1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:31:44 +0530 Subject: [PATCH 4370/5916] Update decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index ad54f2784..20c338488 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -228,7 +228,7 @@ components: input: type: object properties: - encodeText: + encode_text: type: string default: true example: 4bafe80478a11553a69... From 79970963dbdbd36321503979fa0620e4e196c137 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 10:34:18 +0530 Subject: [PATCH 4371/5916] Update index.yaml --- index.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/index.yaml b/index.yaml index 54bff819b..5ca3d1ed1 100644 --- a/index.yaml +++ b/index.yaml @@ -465,6 +465,14 @@ analytics: title: Content Interest Profile versions: 0.1.0: 'content_interest_profile.yaml' + fleet_routing_engine: + title: Fleet Routing Engine + versions: + 0.1.0: 'fleet_routing_engine.yaml' + load_planning_engine: + title: Load Planning Engine + versions: + 0.1.0: 'load_planning_engine.yaml' data alliance: download_dataset_api: title: Download Dataset API From 2e4f579abf61e91b85adf1b38ad13b53184629ad Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:35:41 +0530 Subject: [PATCH 4372/5916] Rename encryption_using_pki_key.yaml to encryption_using_pki_key_v0.1.yaml --- ...tion_using_pki_key.yaml => encryption_using_pki_key_v0.1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{encryption_using_pki_key.yaml => encryption_using_pki_key_v0.1.yaml} (100%) diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key_v0.1.yaml similarity index 100% rename from utility/encryption_using_pki_key.yaml rename to utility/encryption_using_pki_key_v0.1.yaml From ea2bab06c71b161ce025aac163b46c027d6db463 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:37:24 +0530 Subject: [PATCH 4373/5916] Create encryption_using_pki_key.yaml --- utility/encryption_using_pki_key.yaml | 247 ++++++++++++++++++++++++++ 1 file changed, 247 insertions(+) create mode 100644 utility/encryption_using_pki_key.yaml diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key.yaml new file mode 100644 index 000000000..d810f7f7d --- /dev/null +++ b/utility/encryption_using_pki_key.yaml @@ -0,0 +1,247 @@ +openapi: 3.0.1 +info: + title: Encryption using PKI Key + description: |+ + This Utility microservice encrypts the input text using the input key string. + + This can be used with the PKI Key Generator microservice. + + Do ensure that your text is **within 512 characters**. + x-additionalinfo: |+ + Suggested Use Cases: + - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. + version: '1.0.0' + x-subscribelink: encryption_using_pki_key + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 512 characters/Call + x-inputfilelimit: |+ + Process up to 512 characters of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Size cannot exceed more than 512 characters. + x-apidetailsdesc: |+ + Encrypt text to encoded string by public key. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Aug 30, 2019" +paths: + /microservices/utility/rsaencode/v0.1/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + result: nXqbfpv8gK3wZqLjohfy2NCdBJSXQ/NyHec52SFcQiePxl/iVB9wwThAc1U3mBRSM2/YysQodsd89DVuQx3aNNV4/BmYmC53yeWIwfpHZv8DOWSY4dremBDFa6vaFLF89ed0RSkgl7+cut4g0bkXuMODMyEfBerqnrsvQlqHbVY= + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + result: + type: string + description: Encrypted text + example: nXqbfpv8gK3wZqLjohfy2NCdBJSXQ/NyHec52SFcQiePxl/iVB9wwThAc1U3mBRSM2/YysQodsd89DVuQx3aNNV4/BmYmC53yeWIwfpHZv8DOWSY4dremBDFa6vaFLF89ed0RSkgl7+cut4g0bkXuMODMyEfBerqnrsvQlqHbVY= + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + text: + type: string + default: true + example: plain text + description: Input text + key: + type: string + default: true + example: MIIBIjANBgkqhkiG9w0BAQEF... + description: Public key + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 30, 2019 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 1ef4278d0cb0f42b3c7cd2a555b363e3eebec4d5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:37:57 +0530 Subject: [PATCH 4374/5916] Rename pki_key_generator.yaml to pki_key_generator_v0.1.yaml --- utility/{pki_key_generator.yaml => pki_key_generator_v0.1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{pki_key_generator.yaml => pki_key_generator_v0.1.yaml} (100%) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator_v0.1.yaml similarity index 100% rename from utility/pki_key_generator.yaml rename to utility/pki_key_generator_v0.1.yaml From e98be05976d6a59b98760fcd8a3a1f5975c43541 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:38:22 +0530 Subject: [PATCH 4375/5916] Create pki_key_generator.yaml --- utility/pki_key_generator.yaml | 240 +++++++++++++++++++++++++++++++++ 1 file changed, 240 insertions(+) create mode 100644 utility/pki_key_generator.yaml diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml new file mode 100644 index 000000000..ecf5a3c29 --- /dev/null +++ b/utility/pki_key_generator.yaml @@ -0,0 +1,240 @@ +openapi: 3.0.1 +info: + title: PKI Key Generator + description: |+ + This Utility microservice generates a Public and Private key pair, and is useful for encryption purposes. + x-additionalinfo: |+ + Suggested Use Cases: + - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. + version: '0.1.0' + x-subscribelink: pki_key_generator + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | one byte length/Call + x-inputfilelimit: |+ + Process one byte length per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Byte length might be string + x-apidetailsdesc: |+ + Generates a Public and Private key pair based on byte-length [1 to 5] +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Feb 10, 2022" +paths: + /microservices/utility/rsagetkeys/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + keyLength: 1024 + publicKey: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... + privateKey: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + keyLength: + type: integer + format: int32 + example: 1024 + description: byte value of generated key + publicKey: + type: string + example: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... + description: generated public key for encoding the text + privateKey: + type: string + example: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... + description: Used for decoding the text encoded with the corresponding public key. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 10, 2022 + x-details: Patch Update(Input Type Change) + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 30, 2019 + x-details: Initial version release + description: Archived + input: + type: object + properties: + bitcode: + type: integer + format: int32 + example: 1 + default: true + description: Bitcode to generate the key by byte-length. Maximum up to 5. Empty string and above 5 should be consider as 1. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 46d1bace0613120c7a9394a3f5b13b7d6877b112 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:40:09 +0530 Subject: [PATCH 4376/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index ecf5a3c29..178559331 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - This microservice can be used to simplify the deployment, management, and security of one's enterprise PKI with a microservice that helps to automate time-consuming, risky, and error-prone infrastructure tasks, freeing users to focus on higher-value projects. - version: '0.1.0' + version: '1.0.0' x-subscribelink: pki_key_generator x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v1.0.0" description: "Published Date - Feb 10, 2022" paths: /microservices/utility/rsagetkeys/v0.1/getresults: post: tags: - - v0.1.0 + - v1.0.0 responses: '200': description: Ok @@ -205,7 +205,15 @@ components: example: Failure versions: type: object - properties: + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version v0.1.1: type: array items: From a1432e736ef6bce638209ca05db6aa3ea37f7b97 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:41:13 +0530 Subject: [PATCH 4377/5916] Update index.yaml --- index.yaml | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index 5ca3d1ed1..727ade636 100644 --- a/index.yaml +++ b/index.yaml @@ -274,16 +274,18 @@ utility: pki_key_generator: title: PKI Key Generator versions: - 0.1.0: 'pki_key_generator.yaml' + 1.0.0: 'pki_key_generator.yaml' + 0.1.0: 'pki_key_generator_v0.1.yaml' encryption_using_pki_key: title: Encryption using PKI Key versions: - 0.1.0: 'encryption_using_pki_key.yaml' + 1.0.0: 'encryption_using_pki_key.yaml' + 0.1.0: 'encryption_using_pki_key_v0.1.yaml' decryption_using_pki_key: title: Decryption using PKI Key versions: 1.0.0: 'decryption_for_pki_key.yaml' - 0.1.0: 'decryption_for_pki_key.yaml' + 0.1.0: 'decryption_for_pki_key_v0.1.yaml' wikipedia: title: Wikipedia Retrieval versions: From c3586d56fa066eea3409af72d0a1585c9dfdcad0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 10:55:12 +0530 Subject: [PATCH 4378/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index ba0ee2064..4652ca5e9 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -7,7 +7,7 @@ info: x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/recommendation_engine.yaml + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/fleet_routing_engine.yaml x-subscribelink: recommendation_engine x-apitype: Subscription x-apitypedescription: |+ From 3a42974c733ef17dd86a0ab699355377c1275680 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 10:55:38 +0530 Subject: [PATCH 4379/5916] Update load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index 6860cdb04..fe1eb959e 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -7,7 +7,7 @@ info: x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/recommendation_engine.yaml + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/load_planning_engine.yaml x-subscribelink: recommendation_engine x-apitype: Subscription x-apitypedescription: |+ From 0ac0d9f5032f85fdfa994b01092716925db859ae Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:58:21 +0530 Subject: [PATCH 4380/5916] Update encryption_using_pki_key.yaml --- utility/encryption_using_pki_key.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key.yaml index d810f7f7d..fa5822513 100644 --- a/utility/encryption_using_pki_key.yaml +++ b/utility/encryption_using_pki_key.yaml @@ -31,7 +31,7 @@ tags: - name: "v1.0.0" description: "Published Date - Aug 30, 2019" paths: - /microservices/utility/rsaencode/v0.1/getresults: + /microservices/utility/rsaencode/v1/getresults: post: tags: - v1.0.0 From 3d489bfe90f539d75feabadfef5d1e1da393e621 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 10:58:41 +0530 Subject: [PATCH 4381/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 178559331..c3ea1862a 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -27,7 +27,7 @@ tags: - name: "v1.0.0" description: "Published Date - Feb 10, 2022" paths: - /microservices/utility/rsagetkeys/v0.1/getresults: + /microservices/utility/rsagetkeys/v1/getresults: post: tags: - v1.0.0 From 5b36464d9e6f130fd77f4a706ffd9a8dbbac8b0a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:08:28 +0530 Subject: [PATCH 4382/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 727ade636..fb84fcb15 100644 --- a/index.yaml +++ b/index.yaml @@ -327,7 +327,7 @@ utility: get_ip: title: Get IP versions: - 0.1.0: 'get_ip.yaml' + 0.2.0: 'get_ip.yaml' date_resolution: title: Date Resolution versions: From 398a024e42e1ab039e71b0911b2c26ebe3ac39e6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:08:56 +0530 Subject: [PATCH 4383/5916] Rename newspaper_article_scraper.yaml to newspaper_article_scraper_v0.1.yaml --- ...r_article_scraper.yaml => newspaper_article_scraper_v0.1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{newspaper_article_scraper.yaml => newspaper_article_scraper_v0.1.yaml} (100%) diff --git a/utility/newspaper_article_scraper.yaml b/utility/newspaper_article_scraper_v0.1.yaml similarity index 100% rename from utility/newspaper_article_scraper.yaml rename to utility/newspaper_article_scraper_v0.1.yaml From a090c9c4c40c4dff87f7eca9fe489d6056ad25dd Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 27 May 2022 13:40:08 +0800 Subject: [PATCH 4384/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 308dad39b..66cdad2e8 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -1,10 +1,10 @@ openapi: 3.0.1 info: - title: ASR with Voice Activity Detection ENG + title: Automatic Speech Recongition with Voice Activity Detection ENG description: |+ - This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. - The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. - The length of your audio **should not exceed 60 seconds**. + This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. + The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. + The length of your audio **should not exceed 60 seconds**. version: '1.2.2' x-additionalinfo: |+ Suggested Use Cases: From 5e855cc98e1c538cf1a70880acb284785ab810df Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 27 May 2022 13:41:08 +0800 Subject: [PATCH 4385/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 66cdad2e8..d5101f865 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: Automatic Speech Recongition with Voice Activity Detection ENG description: |+ - This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. - The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. - The length of your audio **should not exceed 60 seconds**. + This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. + The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. + The length of your audio **should not exceed 60 seconds**. version: '1.2.2' x-additionalinfo: |+ Suggested Use Cases: From 643a9d34f11c8d6711e14501b06ac9973d75fbb7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:12:01 +0530 Subject: [PATCH 4386/5916] Create newspaper_article_scraper.yaml --- utility/newspaper_article_scraper.yaml | 347 +++++++++++++++++++++++++ 1 file changed, 347 insertions(+) create mode 100644 utility/newspaper_article_scraper.yaml diff --git a/utility/newspaper_article_scraper.yaml b/utility/newspaper_article_scraper.yaml new file mode 100644 index 000000000..512dcd228 --- /dev/null +++ b/utility/newspaper_article_scraper.yaml @@ -0,0 +1,347 @@ +openapi: 3.0.1 +info: + title: Newspaper Article Scraper + description: |+ + This Utility microservice extracts and curates articles and delivers Instapaper-style article extraction. + + Current supported languages: Arabic, Russian, Dutch, German, English, Spanish, French, Hebrew, Italian, Korean, Norwegian, Persian, Polish, Portuguese, Swedish, Hungarian, Finnish, Danish, Chinese, Indonesian, Vietnamese, Swahili, Turkish, Greek, Ukrainian. Supports automatic language detection. + + Note that the URL has to be **spelt in full**, including "https://www." + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used in services related to the creation of a real-time web application that gathers data from several newspapers and shows a summary of the different topics that are being discussed in the news articles. + version: '1.0.0' + x-subscribelink: newspaper_article_scraper + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One News URL /Call + x-inputfilelimit: |+ + Process One News URL per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Allows One news URL per request. + x-apidetailsdesc: |+ + Extracts and Curates articles from news URL. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Aug 07, 2020" +paths: + /microservices/utility/newsarticle/v1/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + content: + all_images: + - https://static.bangkokpost.com/media/content/20170620/2363063.jpg + - https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg + - https://static.bangkokpost.com/media/content/20170620/2364459.jpg + - https://static.bangkokpost.com/media/content/20170620/2363071.jpg + - https://static.bangkokpost.com/media/content/20170620/2364455.jpg + - https://static.bangkokpost.com/media/content/20170620/2363075.jpg + authors: + - Bangkok Post Public Company Limited + keywords: + - scholarships + - opportunities + - fair + - study + - learning + - worlds + language: en + link: https://www.bangkokpost.com/learning/news/1272315/study-and-work-in-australia-%E2%80%93-many-opportunities-ahead- + publish_date: 2020-09-30T07:11:15 + summary: |- + Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. + Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. + Study, Work and Live in one of the World's most liveable countries. + "Post Study Work Rights and Pathways to Australian Permanent + text: |- + Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. Especially, engineers, IT specialists and accountants, and many more, are on the list of occupations which Australia is demanding. + + Study, Work and Live in one of the World's most liveable countries. + + Don't miss the chance to interview directly with 40 leading universities and institutions from across Australia. Application fee waivers and scholarships are also available. + + Unique! "Post Study Work Rights and Pathways to Australian Permanent Resident" seminar by Dr. Visa, Australian Registered Migration Agent, and special talks by Andrew Biggs, + title: Study and Work in Australia + top_image: https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg + video: + - https://www.youtube.com/embed/8I9uQVHluBk + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + content: + type: object + example: {} + description: The result of the API call + properties: + all_images: + type: array + items: + type: string + example: + - https://static.bangkokpost.com/media/content/20170620/2363063.jpg + - https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg + - https://static.bangkokpost.com/media/content/20170620/2364459.jpg + - https://static.bangkokpost.com/media/content/20170620/2363071.jpg + - https://static.bangkokpost.com/media/content/20170620/2364455.jpg + - https://static.bangkokpost.com/media/content/20170620/2363075.jpg + description: All images of new article. + authors: + type: array + items: + type: string + example: + - Bangkok Post Public Company Limited + description: Authors of new article. + keywords: + type: array + items: + type: string + example: + - scholarships + - opportunities + - fair + - study + - learning + - worlds + description: NLP processed keywords from news article. + language: + type: string + example: "en" + description: Language of news article. + link: + type: string + example: "https://www.bangkokpost.com/learning/news/1272315/study-and-work-in-australia-%E2%80%93-many-opportunities-ahead-" + description: Main article link url. + publish_date: + type: string + example: 2020-09-30T07:11:15 + description: Published date of news article. + summary: + type: string + example: "Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given.\nMoreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia.\nStudy, Work and Live in one of the World's most liveable countries.\n\"Post Study Work Rights and Pathways to Australian Permanent" + description: Main content of news article. + text: + type: string + example: "Australia is a country welcoming international students to study at all levels of education with its quality and the part-time work rights given. Moreover, there are opportunities to work full-time and to migrate and hold Australian citizenship after graduation from Australia. Especially, engineers, IT specialists and accountants, and many more, are on the list of occupations which Australia is demanding.\n\nStudy, Work and Live in one of the World's most liveable countries.\n\nDon't miss the chance to interview directly with 40 leading universities and institutions from across Australia. Application fee waivers and scholarships are also available.\n\nUnique! \"Post Study Work Rights and Pathways to Australian Permanent Resident\" seminar by Dr. Visa, Australian Registered Migration Agent, and special talks by Andrew Biggs," + description: Full text content of news article. + title: + type: string + example: "Study and Work in Australia" + description: Title of news article. + top_image: + type: string + example: "https://www.bangkokpost.com/media/content/20170620/c1_1272315_170620160518_620x413.jpg" + description: Published image of news article. + video: + type: array + items: + type: string + example: + - https://www.youtube.com/embed/8I9uQVHluBk + description: All video clips related to news article if available. + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 07, 2020 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - url + properties: + url: + type: string + example: https://www.bangkokpost.com/ + default: true + description: The absolute input url, i.e exact, full address (URL) to the page. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 901f91ad8ac944c95aa1609d9d71263ca5096741 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 27 May 2022 13:56:42 +0800 Subject: [PATCH 4387/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index d43446b85..222c203df 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -4,7 +4,7 @@ info: description: |+ This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive, and font files. See documentation for the detailed list of supported file formats. User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML). - For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decode microservice. + For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decoder microservice. x-additionalinfo: |+ Suggested Use Cases: - As a pre-processor for microservices that only takes in Base64 inputs From efa17dec5475873332877f9a986eedecfb3a2f93 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:32:51 +0530 Subject: [PATCH 4388/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index fb84fcb15..6ac42f67c 100644 --- a/index.yaml +++ b/index.yaml @@ -311,7 +311,8 @@ utility: newspaper_article_scraper: title: Newspaper Article Scraper versions: - 0.1.0: 'newspaper_article_scraper.yaml' + 1.0.0: 'newspaper_article_scraper.yaml' + 0.1.0: 'newspaper_article_scraper_v0.1.yaml' urls_retrieval: title: URLs Retrieval versions: From 7536d75152519f4799362d816b8fbc30d4f50ccd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:34:43 +0530 Subject: [PATCH 4389/5916] Update newspaper_article_scraper.yaml --- utility/newspaper_article_scraper.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/newspaper_article_scraper.yaml b/utility/newspaper_article_scraper.yaml index 512dcd228..d660e3af1 100644 --- a/utility/newspaper_article_scraper.yaml +++ b/utility/newspaper_article_scraper.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Extracts and Curates articles from news URL. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Aug 07, 2020" From f3d17a959ae4f4787a7e57b8965369a7676d729e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:36:13 +0530 Subject: [PATCH 4390/5916] Rename video-to-audio_converter.yaml to video-to-audio_converter_v0.1.yaml --- ...to-audio_converter.yaml => video-to-audio_converter_v0.1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{video-to-audio_converter.yaml => video-to-audio_converter_v0.1.yaml} (100%) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter_v0.1.yaml similarity index 100% rename from utility/video-to-audio_converter.yaml rename to utility/video-to-audio_converter_v0.1.yaml From 0663fcd7dc011cb639078275bc57721e6e370698 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:36:31 +0530 Subject: [PATCH 4391/5916] Create video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 255 ++++++++++++++++++++++++++ 1 file changed, 255 insertions(+) create mode 100644 utility/video-to-audio_converter.yaml diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml new file mode 100644 index 000000000..912487bf1 --- /dev/null +++ b/utility/video-to-audio_converter.yaml @@ -0,0 +1,255 @@ +openapi: 3.0.1 +info: + title: Video-To-Audio Converter + description: |+ + This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format. + + The size of your video file should **not exceed 10 MB**. + version: '0.1.0' + x-additionalinfo: |+ + Suggested Use Cases: + - For building applications that extracts audio from videos in batches. Users can further pipe the audio into microservices involving ASR for further transciption. + x-subscribelink: video-to-audio_converter + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 10 MB of Video file. + x-apidetailsdesc: |+ + Extract audio from video file. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Mar 06, 2020" +paths: + /microservices/utility/videotoaudio/v0.1/getresults: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + AudioContent: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + description: Input parameters

FieldType Description
filePathFileRequired. The file object
Maximum file size up to - 3.5MB
samplerateStringOptional. Sample rate of the audio file in Hz
channelStringOptional. Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo)


+ content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + # required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + AudioContent: + type: string + description: Audio file converted to base64 encoded string. + example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + example: sample.mp4 + default: true + description: The file path that describes the location of the file to be converted. + Supported formats: 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v. + samplerate: + type: integer + format: int32 + example: "16000" + default: false + description: Sample rate of the audio file in Hz. There is no set Hz range. Note that decimals and negative values are not supported. + channel: + type: integer + format: int32 + example: "1" + default: false + description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 06, 2020 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 8619e7f9669dc26bf9fa0122429e4e59c424d4d5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:38:44 +0530 Subject: [PATCH 4392/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index 912487bf1..404183349 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -5,7 +5,7 @@ info: This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format. The size of your video file should **not exceed 10 MB**. - version: '0.1.0' + version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: - For building applications that extracts audio from videos in batches. Users can further pipe the audio into microservices involving ASR for further transciption. @@ -26,13 +26,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v1.0.0" description: "Published Date - Mar 06, 2020" paths: - /microservices/utility/videotoaudio/v0.1/getresults: + /microservices/utility/videotoaudio/v1/getresults: post: tags: - - v0.1.0 + - v1.0.0 responses: '200': description: Ok @@ -216,7 +216,7 @@ components: required: - filePath properties: - filePath: + file_path: type: string format: binary example: sample.mp4 From 86c4a05a3b5b95849ee1a8fbf398225580fc7348 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 11:39:15 +0530 Subject: [PATCH 4393/5916] Update load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index fe1eb959e..4b9ad743a 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -24,7 +24,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Apr 20, 2022" + description: "Published Date - May 27, 2022" paths: /microservices/analytics/loadplanningengine/v0/freinterface: description: |+ @@ -413,7 +413,7 @@ components: items: oneOf: - type: string - example: Published Date - March 30, 2022 + example: Published Date - May 27, 2022 x-details: Initial version release description: Latest Version freinterfaceinput: From 831dcb95c3ad6ae5cc53a902b1eab836bb83aa8a Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 27 May 2022 11:39:34 +0530 Subject: [PATCH 4394/5916] :green_book: add PaddleOCR microservice --- computer_vision/paddleocr.yaml | 278 +++++++++++++++++++++++++++++++++ index.yaml | 4 + 2 files changed, 282 insertions(+) create mode 100644 computer_vision/paddleocr.yaml diff --git a/computer_vision/paddleocr.yaml b/computer_vision/paddleocr.yaml new file mode 100644 index 000000000..f522681bc --- /dev/null +++ b/computer_vision/paddleocr.yaml @@ -0,0 +1,278 @@ + +openapi: 3.0.1 +info: + title: Image Text Detection and Recognition in Wild + description: |+ + To create a OCR model for recognizing text in wild leveraging paddleocr library. It supports both text detection & text recognition. It recognize text in English, chinese and few more languages. Do ensure that your image file size is within **5MB** size. + version: v0.1.0 + x-subscribelink: paddleocr +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 24, 2022" +paths: + /microservices/cv/paddleocr/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + outputs: + - bounding_box: + bottom: 82 + left: 331 + right: 68 + top: 43 + confidence: '0.9969654' + text: PHO CAPITAL + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + outputs: + description: The API outputs as an array which returns all the text, bounding_box and confidence for all detected text in the image. + example: + bounding_box: + bottom: 82 + left: 331 + right: 68 + top: 43 + confidence: '0.9969654' + text: PHO CAPITAL + items: + properties: + bounding_box: + description: The bounding box positions of detected text + example: { "" } + properties: + bottom: + description: Position at bottom of bounding box + example: 82 + type: integer + left: + description: Position at left of bounding box + example: 331 + type: integer + right: + description: Position at right of bounding box + example: 68 + type: integer + top: + description: Position at top of bounding box + example: 43 + type: integer + type: object + confidence: + description: confidence of prediction + example: '0.9969654' + type: string + text: + description: predicted text + example: PHO CAPITAL + type: string + type: object + type: object + type: array + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 24, 2022 + description: Initial Version. + input: + type: object + required: + + - image_base64 + + properties: + image_base64: + x-name: image_base64 + type: string + default: True + example: 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 + description: |+ + Input image in base64 string format. + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/index.yaml b/index.yaml index fb84fcb15..62d9a2056 100644 --- a/index.yaml +++ b/index.yaml @@ -208,6 +208,10 @@ computer vision: title: Masked Face Recognition versions: 0.1.0: 'masked_face_recognition.yaml' + paddleocr: + title: Image Text Detection and Recognition in Wild + versions: + 0.1.0: 'paddleocr.yaml' people_counting: title: People Counting versions: From 365844cd29ba8a0bf5d72db433bd5143c846f88b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 11:40:18 +0530 Subject: [PATCH 4395/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 4652ca5e9..ba39f95ae 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -24,7 +24,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Apr 20, 2022" + description: "Published Date - May 27, 2022" paths: /microservices/analytics/fleetroutingengine/v0/endcustpreprocess: description: |+ @@ -636,7 +636,7 @@ components: items: oneOf: - type: string - example: Published Date - March 30, 2022 + example: Published Date - May 27, 2022 x-details: Initial version release description: Latest Version endcustpreprocessinput: From 1d93f00231dca28e1a9e884c29fb057125ddf7d7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 11:41:17 +0530 Subject: [PATCH 4396/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index ba39f95ae..e7817334c 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -8,7 +8,7 @@ info: - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/fleet_routing_engine.yaml - x-subscribelink: recommendation_engine + x-subscribelink: fleetroutingengine x-apitype: Subscription x-apitypedescription: |+ Fast | Single-Call | 10MB/Call From 7b5ae0515d20ea0e113985c3886807337fdfe9fd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:41:28 +0530 Subject: [PATCH 4397/5916] Create index.yaml --- index.yaml | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/index.yaml b/index.yaml index d448d6838..01d581d21 100644 --- a/index.yaml +++ b/index.yaml @@ -208,10 +208,6 @@ computer vision: title: Masked Face Recognition versions: 0.1.0: 'masked_face_recognition.yaml' - paddleocr: - title: Image Text Detection and Recognition in Wild - versions: - 0.1.0: 'paddleocr.yaml' people_counting: title: People Counting versions: @@ -262,7 +258,8 @@ utility: video-to-audio_converter: title: Video-To-Audio Convertor versions: - 0.1.0: 'video-to-audio_converter.yaml' + 1.0.0: 'video-to-audio_converter.yaml' + 0.1.0: 'video-to-audio_converter_v0.1.yaml' web_scraper: title: Web Scraper versions: From 1e82ef0866030dbc3f06514c98fa3a8299f27e29 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 11:41:36 +0530 Subject: [PATCH 4398/5916] Update load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index 4b9ad743a..5ca6f641b 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -8,7 +8,7 @@ info: - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/load_planning_engine.yaml - x-subscribelink: recommendation_engine + x-subscribelink: loadplanningengine x-apitype: Subscription x-apitypedescription: |+ Fast | Single-Call | 10MB/Call From babfa28296f2f7627511324d313518f1cb95f6ab Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:41:39 +0530 Subject: [PATCH 4399/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index 404183349..e3bb0d6a0 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Extract audio from video file. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Mar 06, 2020" From 57d2615e3d7ea68d3261e8a235ef084b1dc8fc8e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:43:28 +0530 Subject: [PATCH 4400/5916] Rename video-to-image_convertor.yaml to video-to-image_convertor_v0.1.yaml --- ...to-image_convertor.yaml => video-to-image_convertor_v0.1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{video-to-image_convertor.yaml => video-to-image_convertor_v0.1.yaml} (100%) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor_v0.1.yaml similarity index 100% rename from utility/video-to-image_convertor.yaml rename to utility/video-to-image_convertor_v0.1.yaml From d385377a7a7d1764161e0bc227b138b5171d5c31 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:44:41 +0530 Subject: [PATCH 4401/5916] Create video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 263 ++++++++++++++++++++++++++ 1 file changed, 263 insertions(+) create mode 100644 utility/video-to-image_convertor.yaml diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml new file mode 100644 index 000000000..dd41d23f3 --- /dev/null +++ b/utility/video-to-image_convertor.yaml @@ -0,0 +1,263 @@ +openapi: 3.0.1 +info: + title: Video-to-Image Convertor + description: |+ + This Utility microservice captures the images from the input video file at the frame rate of 1 frame per second. + + Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. + The size of your video file should **not exceed 10 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be integrated into video editing software to create a quick preview of the footage the user is editing. + version: '1.0.0' + x-subscribelink: video-to-image_convertor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 10 MB of Video file. + x-apidetailsdesc: |+ + Extract Image from video file. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Aug 07, 2020" +paths: + /microservices/utility/videotoimage/v1/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + fileContent: document text content + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + '406': + description: Not Acceptable + content: + application/json: + schema: + $ref: '#/components/schemas/notaccceptable' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + # required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: + fileContent: document text content + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + notaccceptable: + type: object + properties: + message: + type: string + example: Unable to Convert, Video is Encoded Using Non-H.264 Codec + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 07, 2020 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.mp4 + description: The file path that describes the location of the file to be converted. + + Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From b618556ebb9b9da2e3339c31ac1c2df1f12eb80e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:46:35 +0530 Subject: [PATCH 4402/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 01d581d21..3d92fdaa4 100644 --- a/index.yaml +++ b/index.yaml @@ -308,7 +308,8 @@ utility: video-to-image_convertor: title: Video-to-Image Convertor versions: - 0.1.0: 'video-to-image_convertor.yaml' + 1.0.0: 'video-to-image_convertor.yaml' + 0.1.0: 'video-to-image_convertor_v0.1.yaml' newspaper_article_scraper: title: Newspaper Article Scraper versions: From d860554d3be4a2b174b79aa66d169407564b8c0e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:53:15 +0530 Subject: [PATCH 4403/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index dd41d23f3..7ce4f66b9 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -246,7 +246,7 @@ components: required: - filePath properties: - filePath: + file_Path: type: string format: binary default: true From 86d95ca97fc9be936d9994b11bd41247e6a49454 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 11:59:43 +0530 Subject: [PATCH 4404/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index 7ce4f66b9..5045e420b 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -246,7 +246,7 @@ components: required: - filePath properties: - file_Path: + file_path: type: string format: binary default: true From 046defb33d03d4312301d6ae422ff9783fda1200 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 27 May 2022 12:01:28 +0530 Subject: [PATCH 4405/5916] Update paddleocr.yaml --- computer_vision/paddleocr.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/computer_vision/paddleocr.yaml b/computer_vision/paddleocr.yaml index f522681bc..9b2d03d1c 100644 --- a/computer_vision/paddleocr.yaml +++ b/computer_vision/paddleocr.yaml @@ -3,7 +3,9 @@ openapi: 3.0.1 info: title: Image Text Detection and Recognition in Wild description: |+ - To create a OCR model for recognizing text in wild leveraging paddleocr library. It supports both text detection & text recognition. It recognize text in English, chinese and few more languages. Do ensure that your image file size is within **5MB** size. + To create a OCR model for recognizing text in wild leveraging paddleocr library. It supports both text detection & text recognition. It recognize text in English, Chinese, Gereman, French Japanese and some more languages as it's a multi-lingual model. + + Do ensure that your image file size is within **5MB** size. version: v0.1.0 x-subscribelink: paddleocr servers: From 409edaff15a6d48a16affe7cc316a8ec704e7b03 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 27 May 2022 12:04:23 +0530 Subject: [PATCH 4406/5916] Update index.yaml --- index.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index 3d92fdaa4..cea0e6a41 100644 --- a/index.yaml +++ b/index.yaml @@ -208,10 +208,10 @@ computer vision: title: Masked Face Recognition versions: 0.1.0: 'masked_face_recognition.yaml' - people_counting: - title: People Counting + paddleocr: + title: Image Text Detection and Recognition in Wild versions: - 1.0.1: 'people_counting.yaml' + 0.1.0: 'paddleocr.yaml' people_counting: title: People Counting versions: From ba755d15225e4e6295a5762b8b8bd97f464a47c5 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 27 May 2022 12:09:23 +0530 Subject: [PATCH 4407/5916] Update index.yaml --- index.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/index.yaml b/index.yaml index cea0e6a41..6fad299af 100644 --- a/index.yaml +++ b/index.yaml @@ -164,12 +164,12 @@ nlp: text_summarization: title: Text Summarization versions: - 1.2.0: 'text_summarization.yaml' - 0.2.0: 'text_summarization_v0.2.yaml' + 1.2.0: 'text_summarization.yaml' + 0.2.0: 'text_summarization_v0.2.yaml' text_summarization_large_file: title: Text Summarization (Large File) versions: - 0.1.0: 'text_summarization_large_file.yaml' + 0.1.0: 'text_summarization_large_file.yaml' sentiment_analysis_and_sarcasm_detection: title: Sentiment Analysis and Sarcasm Detection versions: @@ -191,6 +191,10 @@ computer vision: title: Image Text Similarity versions: 0.1.0: 'image_text_similarity.yaml' + paddleocr: + title: Image Text Detection and Recognition in Wild + versions: + 0.1.0: 'paddleocr.yaml' object_detection: title: Object Detection versions: @@ -208,10 +212,6 @@ computer vision: title: Masked Face Recognition versions: 0.1.0: 'masked_face_recognition.yaml' - paddleocr: - title: Image Text Detection and Recognition in Wild - versions: - 0.1.0: 'paddleocr.yaml' people_counting: title: People Counting versions: From 14f7b32eea6e142a0f17bb5833babc183d32e1cf Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:13:21 +0530 Subject: [PATCH 4408/5916] Update index.yaml --- index.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index 6fad299af..01216d02b 100644 --- a/index.yaml +++ b/index.yaml @@ -258,8 +258,7 @@ utility: video-to-audio_converter: title: Video-To-Audio Convertor versions: - 1.0.0: 'video-to-audio_converter.yaml' - 0.1.0: 'video-to-audio_converter_v0.1.yaml' + 0.1.0: 'video-to-audio_converter.yaml' web_scraper: title: Web Scraper versions: @@ -304,7 +303,8 @@ utility: audio_processing_utility: title: Audio Format Convertor versions: - 0.1.1: 'audio_processing_utility.yaml' + 1.0.0: 'audio_processing_utility.yaml' + 0.1.1: 'audio_processing_utility_v0.1.yaml' video-to-image_convertor: title: Video-to-Image Convertor versions: From 138d96adcf1eae913382f17dff53d1b011339426 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 27 May 2022 12:13:55 +0530 Subject: [PATCH 4409/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 2c9be2c8d..8666f270b 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -227,7 +227,7 @@ components: - type: string example: 'Published Date - Feb 18,2022' x-details: Model update - description: Archived + description: Latest Version v1.2.1: type: array items: From 4bb176f9044581f3ab1c0131760472acd6a154c1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:20:13 +0530 Subject: [PATCH 4410/5916] Update and rename audio_processing_utility.yaml to audio_processing_utility_v0.1.yaml --- ...aml => audio_processing_utility_v0.1.yaml} | 20 +++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) rename utility/{audio_processing_utility.yaml => audio_processing_utility_v0.1.yaml} (92%) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility_v0.1.yaml similarity index 92% rename from utility/audio_processing_utility.yaml rename to utility/audio_processing_utility_v0.1.yaml index 01fd325fb..8a299a37f 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility_v0.1.yaml @@ -24,15 +24,15 @@ info: x-apidetailsdesc: |+ Converts any audio format to wav file. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" +- name: "v1.0.0" description: "Published Date - Feb 10, 2022" paths: - /microservices/utility/audioprocessing/v0.1/getresults: + /microservices/utility/audioprocessing/v1/getresults: post: tags: - - v0.1.1 + - v1.0.0 responses: '200': description: Ok @@ -209,6 +209,14 @@ components: versions: type: object properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version v0.1.1: type: array items: @@ -228,9 +236,9 @@ components: input: type: object required: - - filePath + - file_path properties: - filePath: + file_path: type: string format: binary default: true From b88c9327c5e72c75c71a267db6a99b77794c29cd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:21:41 +0530 Subject: [PATCH 4411/5916] Create audio_processing_utility_v01.yaml --- utility/audio_processing_utility_v01.yaml | 275 ++++++++++++++++++++++ 1 file changed, 275 insertions(+) create mode 100644 utility/audio_processing_utility_v01.yaml diff --git a/utility/audio_processing_utility_v01.yaml b/utility/audio_processing_utility_v01.yaml new file mode 100644 index 000000000..06909ea23 --- /dev/null +++ b/utility/audio_processing_utility_v01.yaml @@ -0,0 +1,275 @@ +openapi: 3.0.1 +info: + title: Audio Format Convertor + description: >- + This Utility microservice converts the audio format to the WAV format. + The encoding scheme, bitrate, sample rate of the output WAV are to be specified. + The size of your audio file should **not exceed 10 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Build services related to sound engineering or audio editing as WAV is the format of choice for video and audio editors. WAV files are lossless compared to the lossy MP3 file format, meaning that WAV audio is a high-quality uncompressed file that is excellent for studio recordings and audio mastering. + version: '0.1.1' + x-subscribelink: audio_format_convertor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Converts any audio format to wav file. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.1" + description: "Published Date - Feb 10, 2022" +paths: + /microservices/utility/audioprocessing/v0.1/getresults: + post: + tags: + - v0.1.1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + AudioContent: actual base64 string of input wav + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: string + example: + AudioContent: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................. + description: Audio wav file convert to base64 encode string + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 10, 2022 + x-details: Type update + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.wav + description: Maximum file size up to 10 MB. + samplerate: + type: string + default: false + example: '16000' + description: Sample rate of the audio file in Hz + channel: + type: string + default: false + example: '1' + description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) + bitrate: + type: string + default: false + example: '2' + description: Indicates the bit resolution. Value must be 2 as (16 bit) + normalize: + type: string + default: false + example: no + description: A boolean value that indicates whether to normalize the audio or not. Values must be either “yes” or “no” + trim_start_time: + type: number + default: false + example: 1 + description: Indicates the start in seconds between which the audio is extracted + trim_stop_time: + type: number + default: false + example: 5 + description: Indicates the end time in seconds between which the audio is extracted + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 6288522ef0505d21066cea66a8d3366439e0c41e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:22:30 +0530 Subject: [PATCH 4412/5916] Update and rename audio_processing_utility_v0.1.yaml to audio_processing_utility.yaml --- ...ocessing_utility_v0.1.yaml => audio_processing_utility.yaml} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename utility/{audio_processing_utility_v0.1.yaml => audio_processing_utility.yaml} (96%) diff --git a/utility/audio_processing_utility_v0.1.yaml b/utility/audio_processing_utility.yaml similarity index 96% rename from utility/audio_processing_utility_v0.1.yaml rename to utility/audio_processing_utility.yaml index 8a299a37f..a6a15e6a8 100644 --- a/utility/audio_processing_utility_v0.1.yaml +++ b/utility/audio_processing_utility.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Build services related to sound engineering or audio editing as WAV is the format of choice for video and audio editors. WAV files are lossless compared to the lossy MP3 file format, meaning that WAV audio is a high-quality uncompressed file that is excellent for studio recordings and audio mastering. - version: '0.1.1' + version: '1.0.0' x-subscribelink: audio_format_convertor x-apitype: small file x-apitypedescription: |+ From dd9bcdca0e3ecbc3f3f7de286eade6a8922f38ec Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:23:07 +0530 Subject: [PATCH 4413/5916] Rename audio_processing_utility_v01.yaml to audio_processing_utility_v0.1.yaml --- ...essing_utility_v01.yaml => audio_processing_utility_v0.1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{audio_processing_utility_v01.yaml => audio_processing_utility_v0.1.yaml} (100%) diff --git a/utility/audio_processing_utility_v01.yaml b/utility/audio_processing_utility_v0.1.yaml similarity index 100% rename from utility/audio_processing_utility_v01.yaml rename to utility/audio_processing_utility_v0.1.yaml From e509a49ca1c354b5c6448a872c6f653fc54d258c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:23:30 +0530 Subject: [PATCH 4414/5916] Delete video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 255 -------------------------- 1 file changed, 255 deletions(-) delete mode 100644 utility/video-to-audio_converter.yaml diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml deleted file mode 100644 index e3bb0d6a0..000000000 --- a/utility/video-to-audio_converter.yaml +++ /dev/null @@ -1,255 +0,0 @@ -openapi: 3.0.1 -info: - title: Video-To-Audio Converter - description: |+ - This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format. - - The size of your video file should **not exceed 10 MB**. - version: '1.0.0' - x-additionalinfo: |+ - Suggested Use Cases: - - For building applications that extracts audio from videos in batches. Users can further pipe the audio into microservices involving ASR for further transciption. - x-subscribelink: video-to-audio_converter - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10MB of data per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 10 MB of Video file. - x-apidetailsdesc: |+ - Extract audio from video file. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Mar 06, 2020" -paths: - /microservices/utility/videotoaudio/v1/getresults: - post: - tags: - - v1.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - AudioContent: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - description: Input parameters

FieldType Description
filePathFileRequired. The file object
Maximum file size up to - 3.5MB
samplerateStringOptional. Sample rate of the audio file in Hz
channelStringOptional. Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo)


- content: - multipart/form-data: - schema: - $ref: '#/components/schemas/input' - # required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - AudioContent: - type: string - description: Audio file converted to base64 encoded string. - example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - required: - - filePath - properties: - file_path: - type: string - format: binary - example: sample.mp4 - default: true - description: The file path that describes the location of the file to be converted. - Supported formats: 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v. - samplerate: - type: integer - format: int32 - example: "16000" - default: false - description: Sample rate of the audio file in Hz. There is no set Hz range. Note that decimals and negative values are not supported. - channel: - type: integer - format: int32 - example: "1" - default: false - description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 06, 2020 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 9b5d6f845609918c106403ef7694e3b7ad688bb2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:23:43 +0530 Subject: [PATCH 4415/5916] Rename video-to-audio_converter_v0.1.yaml to video-to-audio_converter.yaml --- ...to-audio_converter_v0.1.yaml => video-to-audio_converter.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{video-to-audio_converter_v0.1.yaml => video-to-audio_converter.yaml} (100%) diff --git a/utility/video-to-audio_converter_v0.1.yaml b/utility/video-to-audio_converter.yaml similarity index 100% rename from utility/video-to-audio_converter_v0.1.yaml rename to utility/video-to-audio_converter.yaml From ec42c303441f22aac925ef8e436a02135dcb0aa9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:29:34 +0530 Subject: [PATCH 4416/5916] Rename web_scraper.yaml to web_scraper_v1.yaml --- utility/{web_scraper.yaml => web_scraper_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{web_scraper.yaml => web_scraper_v1.yaml} (100%) diff --git a/utility/web_scraper.yaml b/utility/web_scraper_v1.yaml similarity index 100% rename from utility/web_scraper.yaml rename to utility/web_scraper_v1.yaml From fb5649dcbbf69a42e01c94a2fb3ed8933a3625e5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:33:39 +0530 Subject: [PATCH 4417/5916] Create web_scraper.yaml --- utility/web_scraper.yaml | 421 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 421 insertions(+) create mode 100644 utility/web_scraper.yaml diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml new file mode 100644 index 000000000..024fbebd5 --- /dev/null +++ b/utility/web_scraper.yaml @@ -0,0 +1,421 @@ +openapi: 3.0.1 +info: + title: Web Scraper + x-subscribelink: web_scraper + description: |+ + This Utility microservice extracts content or specific HTML elements from the input URL. It can extract HTML elements that matches the criteria given in the queryList HTTP request parameter. + For example, to look for all h1 elements in the webpage, one would pass the following queryList parameter: “queryList:[{‘title’:,’findType’:’findall’,‘tag’:’h1’ }]” +
+ The results are returned in JSON format to rapidly retrieve website elements like tables, images, etc. from multiple URLs. + x-additionalinfo: |+ + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used for contact scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration. + + Examples: + + To get article content, as text + {"url":<URL>} + + Returns all element text matches the tag name: + {"url":<URL>, queryList:[{"title":,"findType":"find_all","tag":"h1"}]}

Few queryList Examples: + + Returns all Html matches the tag name: + queryList:[{"title":,"findType":"find_all","tag":"h1", "returnType":"html"}] + + Returns all Image Links: + queryList:[{"title":,"findType":"find_all","tag":"img", "attribute":"src"}] + + Returns all Links(URL's): + queryList:[{"title":,"findType":"find_all","tag":"a", "attribute":"href"}] + + Returns all links/text/html/images matches the class name: + queryList:[{"findType":"find_all", "class":,"tag":"a", "attribute":"href"}],{"findType":"find_all", "class":, "tag":"a"},{"findType":"find_all", "class":, "tag":"a", "returnType":"html"},{"findType":"find_all", "class":, "tag":"img", "attribute":"src"}] + + Using select in findType, either class/tag/id/nestedClassId is mandatory: + queryList:[{"findType":"select", "class_":, "tag":}] + queryList:[{"findType":"select", "class_":}] + queryList:[{"findType":"select", "tag":}] + queryList:[{"findType":"select", "id":, "tag":}] + queryList:[{"findType":"select", "id":}] + queryList:[{"findType":"select", "tag":}] + queryList:[{"findType":"select", "nestedClassId":}] + queryList:[{"findType":"select", "nestedClassId":, "returnType":"html"}] + queryList:[{"findType":"select", "nestedClassId":, "attribute":"href"}] + Example using nestedClassId:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"p.strikeout"}] + To get h1 tags that match one or more class names +    "queryList":[{"findType":"select", "nestedClassId":"h1"}] + To get all p tags that matches element id +    "queryList":[{"findType":"select", "nestedClassId":"div#div2 p"}] + To get all litags that matches the element id
   "queryList":[{"findType":"select", "nestedClassId":"div#div2 ul li"}]
To get links from ul list +    "queryList":[{"findType":"select", "nestedClassId":"ul li a"}] + To get links from ul list that matches one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"ul li.class3 a"}] + To get links a element that matches the element id and class name
   "queryList":[{"findType":"select", "nestedClassId":"div#div2 ul li.class3 a"}] + + Notes: + title - is an optional parameter, if title is empty the return json key is "values"
findType - find/find_all/select +    • find - returns first matching possibility
   • find_all - returns all matching possibilities +    • select - If you want to search for tags that match two or more CSS classes. either nestedClassId is mandatory + **returnType is not supported with attribute. + + The results are returned in JSON format and allow for developers to rapidly retrieve website elements like tables, images, etc. from URL + version: '2.0.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Allows One URL per request. + x-apidetailsdesc: |+ + Extracts content or specific HTML elements from the input URL. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - Dec 04, 2020" +paths: + /microservices/utility/webscraping/v2/getresults: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + data: |- + BBC - HomeBBC HomepageSkip to contentAccessibility Helpsign-inBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaret-downsearchSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuWelcome to the BBCBBC HomepagePM warns virus deaths could be 'twice as bad' as springAttributionUKPrince William 'contracted Covid-19 in April'AttributionUKWhich Strictly celeb is the first to leave?AttributionBBC OneMore top storiesBale heads winner to send Spurs secondAttributionFootballWho's ahead in the polls - Trump or Biden?AttributionUS Election 2020Five alternatives to saving money with the bankAttributionBBC ScotlandCoronavirus pandemicnextSpain's funeral homes strike as virus cases riseAttributionEuropeHow many coronavirus cases are there in your area?AttributionUKPolice battle to break up 700-strong illegal raveAttributionEnglandNews headlinesnextScotland's new regional Covid restrictions go liveAttributionScotlandBiden and Trump criss-cross the US as vote nearsAttributionUS Election 2020Veteran journalist Robert Fisk dies aged 74AttributionMiddle EastSport headlinesnextPogba says he made 'stupid mistake'AttributionMan Utd'I don't know the direction Man Utd are going' - MOTD2 analysis. Video'I don't know the direction Man Utd are going' - MOTD2 analysisAttributionMan UtdplayMan City win FA Cup after extra timeAttributionWomen's FootballUS Election 2020nextUS election: Trump is in the fight of his political lifeAttributionUS Election 2020The Asians who want Trump to win re-electionAttributionAsiaThe 750,000 people you didn't know could voteAttributionUS Election 2020Around the UKnextScotland's new regional Covid restrictions go liveAttributionScotlandFollow rules plea ahead of post-lockdown exit planAttributionWalesEight more coronavirus-related deaths in NIAttributionNorthern IrelandThe BBC around the UKScotlandALBAWalesCymruNI3 things we love todayYour pictures on the theme of 'urban living'AttributionIn PicturesCan you guess the celebrity childhood photo?AttributionBBC BitesizeThis Celtic rainforest has the calm vibes we all need. VideoThis Celtic rainforest has the calm vibes we all needAttributionBBC TwoplayPlant powerPlant power, Should you swap that beef burger for a vegan version?Should you swap that beef burger for a vegan version?Watch what might happen if the entire world switched to a plant-based dietAttributionBBC IdeasEntertainment news'This is one of my films of the year'AttributionBBC Radio 5 LiveBill surprises fans with nimble feet (and an elephant)AttributionBBC OneSean Connery's greatest moments on screen - in picturesAttributionEntertainment & ArtsSocietyCouple trolled for intimate wedding photoshootAttributionIndia'I raise £2,000 a month to keep my daughter alive'AttributionEngland'Collaborative effort' needed to help gay players come outAttributionEnglandOur Planet NownextThe BBC’s ongoing focus on the environment and the challenges facing our planetYou've got cheap data, how about cheap power too?Publishedduration2 days agoAttributionScience & EnvironmentThe Repair Shop's Jay Blades: 'Make do and mend' for the planet. Video, 00:03:15The Repair Shop's Jay Blades: 'Make do and mend' for the planetPublishedduration2 days agoplay3:15'You could see avocados growing in Hackney' Video, 00:01:04'You could see avocados growing in Hackney'Publishedduration3 days agoAttributionLondonplay1:04Real-life storiesSteph McGovern on 'toning it down' for TV, Trump and pregnancy. AudioSteph McGovern on 'toning it down' for TV, Trump and pregnancyAttributionBBC Radio 4listen'Nobody would help me until Keanu Reeves turned up!' Video'Nobody would help me until Keanu Reeves turned up!'AttributionBBC OneplayDoctor duped into buying 'Aladdin's lamp' for $41,600AttributionIndiaYou might have missedA magical underwater moment captured on film. VideoA magical underwater moment captured on filmAttributionBBC TwoplayHouse prices climb to record high, says NationwideAttributionBusinessCornwall Poldark house fallen into 'complete disrepair'AttributionEnglandFoodnextPerfect pot-roasts with minimum effortAttributionBBC FoodA super-speedy version of a takeaway classicAttributionBBC FoodHealthy winter warmers to keep you full for longerAttributionBBC FoodLifestyleThree tips to help you through redundancy. VideoThree tips to help you through redundancyAttributionBBC IdeasplayGet your ramble on with Countryfile's top hiking tipsAttributionBBC Children in NeedAwesome autumn activities for younger kidsAttributionTiny Happy PeopleThis week in sportWilder questions Fury gloves in rematchAttributionBoxingTributes after ex-Hearts captain Zaliukas dies aged 36AttributionFootballVerstappen sorry for offensive language during + Portuguese GPAttributionFormula 1Behind the headlinesCharlie Hebdo attack suspect tests positive for Covid-19AttributionEuropeBerlin's new €6bn airport opens... 10 years late. VideoBerlin's new €6bn airport opens... 10 years lateAttributionWorldplayNew York man plunges into rat-infested sinkholeAttributionUS & CanadaTime well spentSam Smith's track-by-track guide to their new album. AudioSam Smith's track-by-track guide to their new albumAttributionBBC Radio 1listenRap Game star shares his Black History Month picksAttributionBBC ThreeThese eerie stories might just keep you awake at nightAttributionBBC Radio 4Modern Slavery StatementRead moreThe BBC around the UKScotlandALBAWalesCymruNIOther servicesComplaintsUS Election 2020A really simple guide to the electionAttributionBBC NewsDisinformation: How to spot it. iPlayerDisinformation: How to spot itAttributionBBC iPlayeriplayerWho do you think will win?AttributionBBC NewsOdd happenings from past US electionsAttributionBBC BitesizeHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with usAdChoices / Do Not Sell My Info© 2020 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking. + dataList: + - imagelinks: + - https://ichef.bbci.co.uk/images/ic/240x135/p08x3gpx.jpg + - https://ichef.bbci.co.uk/curationkit-ichef/240x135/cpsprodpb/16FC3/production/_115174149_063942058.jpg + - https://ichef.bbci.co.uk/images/ic/240x135/p08x2qxp.jpg + - https://ichef.bbci.co.uk/images/ic/240x135/p08x39pc.jpg + - https://ichef.bbci.co.uk/images/ic/240x135/p08wsqty.jpg + - https://ichef.bbci.co.uk/images/ic/240x135/p08vchc7.jpg + status: Success + '400': + description: Restricted + content: + application/json: + schema: + $ref: '#/components/schemas/restricted' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: successfully processed + description: Description of the API status + status: + type: string + example: success + description: The status of the API call - success/failure + results: + type: object + example: {"data": "text content of the webpage","dataList": [{ "title": "imagelinks", "findType": "find_all", "tag": "img", "attribute": "src" }]} + description: Json Object of returned results + properties: + data: + type: string + example: "BBC - HomeBBC HomepageSkip to contentAccessibility Helpsign-inBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaret-downsearchSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuWelcome to the BBCBBC HomepagePM warns virus deaths could be 'twice as bad' as springAttributionUKPrince William 'contracted Covid-19 in April'AttributionUKWhich Strictly celeb is the first to leave?AttributionBBC OneMore top storiesBale heads winner to send Spurs secondAttributionFootballWho's ahead in the polls - Trump or Biden?AttributionUS Election 2020Five alternatives to saving money with the bankAttributionBBC ScotlandCoronavirus pandemicnextSpain's funeral homes strike as virus cases riseAttributionEuropeHow many coronavirus cases are there in your area?AttributionUKPolice battle to break up 700-strong illegal raveAttributionEnglandNews headlinesnextScotland's new regional Covid restrictions go liveAttributionScotlandBiden and Trump criss-cross the US as vote nearsAttributionUS Election 2020Veteran journalist Robert Fisk dies aged 74AttributionMiddle EastSport headlinesnextPogba says he made 'stupid mistake'AttributionMan Utd'I don't know the direction Man Utd are going' - MOTD2 analysis. Video'I don't know the direction Man Utd are going' - MOTD2 analysisAttributionMan UtdplayMan City win FA Cup after extra timeAttributionWomen's FootballUS Election 2020nextUS election: Trump is in the fight of his political lifeAttributionUS Election 2020The Asians who want Trump to win re-electionAttributionAsiaThe 750,000 people you didn't know could voteAttributionUS Election 2020Around the UKnextScotland's new regional Covid restrictions go liveAttributionScotlandFollow rules plea ahead of post-lockdown exit planAttributionWalesEight more coronavirus-related deaths in NIAttributionNorthern IrelandThe BBC around the UKScotlandALBAWalesCymruNI3 things we love todayYour pictures on the theme of 'urban living'AttributionIn PicturesCan you guess the celebrity childhood photo?AttributionBBC BitesizeThis Celtic rainforest has the calm vibes we all need. VideoThis Celtic rainforest has the calm vibes we all needAttributionBBC TwoplayPlant powerPlant power, Should you swap that beef burger for a vegan version?Should you swap that beef burger for a vegan version?Watch what might happen if the entire world switched to a plant-based dietAttributionBBC IdeasEntertainment news'This is one of my films of the year'AttributionBBC Radio 5 LiveBill surprises fans with nimble feet (and an elephant)AttributionBBC OneSean Connery's greatest moments on screen - in picturesAttributionEntertainment & ArtsSocietyCouple trolled for intimate wedding photoshootAttributionIndia'I raise £2,000 a month to keep my daughter alive'AttributionEngland'Collaborative effort' needed to help gay players come outAttributionEnglandOur Planet NownextThe BBC’s ongoing focus on the environment and the challenges facing our planetYou've got cheap data, how about cheap power too?Publishedduration2 days agoAttributionScience & EnvironmentThe Repair Shop's Jay Blades: 'Make do and mend' for the planet. 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Read about our approach to external linking." + description: Text content of the webpage. + dataList: + type: array + example: [{"imagelinks": ["https://ichef.bbci.co.uk/images/ic/240x135/p08x3gpx.jpg","https://ichef.bbci.co.uk/curationkit-ichef/240x135/cpsprodpb/16FC3/production/_115174149_063942058.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x2qxp.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x39pc.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08wsqty.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08vchc7.jpg"]}] + description: Extracted results of queryList in a list format. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + restricted: + type: object + properties: + message: + type: string + example: The content is restricted + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version update + description: Latest Version + v1.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 04, 2020 + x-details: Patch Update + description: Latest Version + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30, 2020 + x-details: Partial URL support + description: Depreciating on Dec 03, 2020 + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 03, 2020 + x-details: Improvised search filters using queryList, now you can even navigate down the html tree like get all p tag inside a div class "class":"class_name p" + description: Depreciating on Oct 29, 2020 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 18, 2018 + x-details: Initial version release + description: Archived + input: + type: object + properties: + url: + type: string + default: true + example: https://www.bbc.co.uk + description: Webpage URL. It also support partial URL like bbc.co.uk + query_list: + type: array + default: false + example: [{"title":,"findType":"find_all","tag":"h1", "returnType":"html"}] + description: List of extraction conditions. + items: + oneOf: + - type: object + properties: + findType: + x-name: findType + type: string + default: false + example: |+ + find_all + description: |+ + Extraction Type. Possible values are: + 1. find - returns the first matching possibility + 2. find_all - returns the all matching possibility + 3. select - If you want to search for tags that match two or more CSS classes. either nestedClassId is mandatory + tag: + x-name: tag + type: string + default: false + example: h1 + description: |+ + The HTML tag to extract + id: + x-name: id + type: string + default: false + example: sampleid + description: |+ + The HTML element id to extract + class: + x-name: class + type: string + default: false + example: sampleclass + description: |+ + The HTML element classname to extract + nestedClassId: + x-name: nestedclassid + type: string + default: false + example: p.strikeout + description: |+ + The nested HTML tags. Example: p.strikeout - looks for those matching "strikeout" classname inside the "p" element. + Add additional nesting elments using .(dot) to concatenate + attribute: + x-name: attribute + type: string + default: false + example: src + description: |+ + The HTML element attribute to extract, supported only with tag/id/class/nestedClassId + title: + x-name: title + type: string + default: false + example: mytitle + description: |+ + The key value of the extracted result. By default, the return json key is "values". + returnType: + x-name: returnType + type: string + default: false + example: html + description: |+ + Optional input parameter. If no input parameter is specified, the default return type would be text. + Use “html” to set return type to HTML format + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From babeb29eb02b86d5350adbf62c71eb64b3a1483b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:38:45 +0530 Subject: [PATCH 4418/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index 024fbebd5..717bc2424 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -74,7 +74,7 @@ info: x-apidetailsdesc: |+ Extracts content or specific HTML elements from the input URL. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Dec 04, 2020" From 3c539d190b2f32c83f57661b7a2ecb8ca4df4655 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:40:10 +0530 Subject: [PATCH 4419/5916] Rename wikipedia.yaml to wikipedia_v1.yaml --- utility/{wikipedia.yaml => wikipedia_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{wikipedia.yaml => wikipedia_v1.yaml} (100%) diff --git a/utility/wikipedia.yaml b/utility/wikipedia_v1.yaml similarity index 100% rename from utility/wikipedia.yaml rename to utility/wikipedia_v1.yaml From 81223ff584666281bac6cdbb4fc433413b33226c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:42:12 +0530 Subject: [PATCH 4420/5916] Create wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 369 +++++++++++++++++++++++++++++++ 1 file changed, 369 insertions(+) create mode 100644 utility/wikipedia_retrieval.yaml diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml new file mode 100644 index 000000000..327665c36 --- /dev/null +++ b/utility/wikipedia_retrieval.yaml @@ -0,0 +1,369 @@ +openapi: 3.0.1 +info: + title: Wikipedia Retrieval + description: |+ + This Utility microservice provides the user with a Wikipedia article based on the input keyword. Refer to this link for the full list of Wikipedias - https://meta.wikimedia.org/wiki/List_of_Wikipedias + x-additionalinfo: |+ + Suggested Use Cases: + - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more. + + - Extract the most relevant content from Wikipedia’s categories to provide a text analysis service to ascertain what any text is in reference to. + version: '2.0.0' + x-subscribelink: wikipedia_retrieval + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | Single String /Call + x-inputfilelimit: |+ + Process Single String per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Keyword with a string. + x-apidetailsdesc: |+ + Provide Wikipedia article based on the input keyword. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - Jan 11, 2021" +paths: + /microservices/utility/wikipedia/v2/getresults: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + content: Singapore officially the Republic of Singapore, is a sovereign city-state + and island country located in maritime Southeast Asia. Singapore lies about one + degree of latitude (137 kilometres or 85 miles) north of the equator. + images: + - https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg + - https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png + - https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg + - https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg + links: + - 65 + - ".sg" + - 126 Squadron, Republic of Singapore Air Force + - 13th Parliament of Singapore + - 16th Summit of the Non-Aligned Movement + - 1915 Singapore Mutiny + pageid: 27318 + summary: Singapore officially the Republic of Singapore, is a sovereign city-state + and island country located in maritime Southeast Asia. Singapore lies about one + degree of latitude (137 kilometres or 85 miles) north of the equator. + thumbnail: + height: 333 + source: https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png + width: 500 + url: https://en.wikipedia.org/wiki/Singapore + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + content: + type: string + example: "Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. + Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator." + description: Plain text content of the page, excluding images, tables, and other data. + images: + type: array + example: ["https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg","https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png"] + description: List of URLs of images on the page. + items: + oneOf: + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/f/f5/0008871_-_Krung_Thep_Bridge_001.jpg + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/1/12/2014_Singapore_Products_Export_Treemap.png + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/1/1b/2017_G20_Hamburg_summit_leaders_group_photo.jpg + - type: string + format: list + example: https://upload.wikimedia.org/wikipedia/commons/1/10/A_Night_Perspective_on_the_Singapore_Merlion_%288347645113%29.jpg + links: + type: array + example: [".sg","126 Squadron, Republic of Singapore Air Force","13th Parliament of Singapore","16th Summit of the Non-Aligned Movement"] + description: List of titles of Wikipedia page links on a page. + items: + oneOf: + - type: string + format: list + example: +65 + - type: string + format: list + example: .sg + - type: string + format: list + example: 126 Squadron, Republic of Singapore Air Force + - type: string + format: list + example: 13th Parliament of Singapore + - type: string + format: list + example: 16th Summit of the Non-Aligned Movement + - type: string + format: list + example: 1915 Singapore Mutiny + pageid: + type: integer + format: int32 + example: 27318 + description: The id of the page requested + summary: + type: string + example: Singapore officially the Republic of Singapore, is a sovereign city-state and island country located in maritime Southeast Asia. + Singapore lies about one degree of latitude (137 kilometres or 85 miles) north of the equator. + description: A short summary of the Wikipedia article that was requested + thumbnail: + type: object + example: {"height":333,"source":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png", "width":500} + description: URL and dimensions of thumbnail image associated with page, if any. + properties: + height: + type: integer + format: int32 + example: 333 + description: Height of the thumbnail image + source: + type: string + example: https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png + description: Source URL of the thumbnail image + width: + type: integer + format: int32 + example: 500 + description: Width of the thumbnail image + url: + type: string + example: https://en.wikipedia.org/wiki/Singapore + description: The website url of the requested wikipedia articles + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version update + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 11, 2021 + x-details: Patch Update, Optimization and thumbnail is added as an additional field + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 23, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + keyword: + type: string + example: Singapore + default: true + description: The search term, highest match to the title of the Wikipedia page. Not Mandatory when pageid is given. + pageid: + type: integer + format: int32 + default: false + example: 27318 + description: The Wikipedia id of the page requested. Mandatory only when title is not given. + language: + type: string + default: false + example: en + description: Indicates the language in which the Wikipedia page is written. Default is English, for other languages give the input as ISO 639-1 language code. Please refer this link for language code https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes + additional_fields: + type: string + default: false + example: all + description: The default returns the pageid, url, summary and thumbnail, when given “all” - returns all the fields i.e pageid, url, summary, content, links, images and thumbnail. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 7cbfd61a6d756ebb559b8db3e27ec6993e7ef29e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 12:43:09 +0530 Subject: [PATCH 4421/5916] Update index.yaml --- index.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/index.yaml b/index.yaml index 01216d02b..d3a48c873 100644 --- a/index.yaml +++ b/index.yaml @@ -289,6 +289,7 @@ utility: wikipedia: title: Wikipedia Retrieval versions: + 2.0.0: 'wikipedia_retrieval.yaml' 1.0.0: 'wikipedia.yaml' json-csv_convertor: title: JSON-CSV Convertor From d3062d48326e10437ab852a57120900f230dbcf5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 27 May 2022 15:01:46 +0530 Subject: [PATCH 4422/5916] Create asr_en_unified.yaml --- voice/asr_en_unified.yaml | 217 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 217 insertions(+) create mode 100644 voice/asr_en_unified.yaml diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml new file mode 100644 index 000000000..e7aa6cdb9 --- /dev/null +++ b/voice/asr_en_unified.yaml @@ -0,0 +1,217 @@ +openapi: 3.0.1 +info: + title: Automatic Speech Recognition ENG + description: |+ + This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. + + The Automatic Speech Recognition (ASR) AI model is employed to understand the mapping of sound features to actual words in English. + + Use this microservice if the audio file consists of mostly speech with no long pauses in between. + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 15 sec/Call + x-inputfilelimit: |+ + Process up to 15 seconds (1 minute) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 15 seconds (1 minute). + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 27, 2022" +paths: + /microservice/voice/ASRENUNIFIED/v0/get_transcript: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Hi there + status: success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + x-name: message + type: string + example: Hi there + description: Converted Text + status: + x-name: status + type: string + example: success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - file_path + properties: + file_path: + type: string + format: binary + default: true + example: sample.wav + description: |+ + Input file in base64 format and needs to be prefixed by the data type and encoding + data:audio/wav;base64, + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 27, 2022 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 3e081f5f20984cae13fa1d247af668c4d522f3bc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 27 May 2022 15:04:43 +0530 Subject: [PATCH 4423/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index e7aa6cdb9..d07412891 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Automatic Speech Recognition ENG + title: ASR EN Unified description: |+ This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. @@ -27,7 +27,7 @@ tags: - name: "v0.1.0" description: "Published Date - May 27, 2022" paths: - /microservice/voice/ASRENUNIFIED/v0/get_transcript: + /microservice/voice/asrenunified/v0/get_transcript: post: tags: - v0.1.0 @@ -93,9 +93,9 @@ paths: - APIAuthorizer: [] requestBody: content: - application/json: - schema: - $ref: '#/components/schemas/input' + multipart/form-data: + schema: + $ref: '#/components/schemas/input' required: true components: schemas: From f40a0eb8aef4a7fc213c2893e778ffebba2138d1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 27 May 2022 15:05:21 +0530 Subject: [PATCH 4424/5916] Update index.yaml --- index.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index d3a48c873..ad2d6d430 100644 --- a/index.yaml +++ b/index.yaml @@ -91,7 +91,11 @@ voice: automatic_speech_recognition_chi_large_file: title: Automatic Speech Recognition CHI (Large File) versions: - 0.1.0: 'automatic_speech_recognition_chi_large_file.yaml' + 0.1.0: 'automatic_speech_recognition_chi_large_file.yaml' + asr_en_unified: + title: ASR EN Unified + versions: + 0.1.0: 'asr_en_unified.yaml' nlp: kyc: title: KYC From 4430caea174ef3c20a140e6fd63f8d5cc49e4fce Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 27 May 2022 15:06:25 +0530 Subject: [PATCH 4425/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index d07412891..b54a93107 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -22,7 +22,7 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - May 27, 2022" From 0efc320f114575be143691a29d932ff577b3b9d3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 15:13:49 +0530 Subject: [PATCH 4426/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index 327665c36..3459d369d 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Provide Wikipedia article based on the input keyword. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Jan 11, 2021" From 342467ff524ed06ac46e30e02da5f624ceef0ce7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 27 May 2022 15:14:55 +0530 Subject: [PATCH 4427/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index b54a93107..6c3fb4397 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -187,9 +187,9 @@ components: input: type: object required: - - file_path + - wav_file_bytes properties: - file_path: + wav_file_bytes: type: string format: binary default: true From f4f53f50992f6ab2c121b13069dec7c2c35265ba Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 27 May 2022 15:47:51 +0530 Subject: [PATCH 4428/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 6c3fb4397..1e11a5809 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -102,16 +102,11 @@ components: success: type: object properties: - message: - x-name: message + transcript: + x-name: transcript type: string - example: Hi there + example: i want to apply for a credit faclity description: Converted Text - status: - x-name: status - type: string - example: success - description: The status of the API call success/failure unauthorized: type: object properties: @@ -190,7 +185,7 @@ components: - wav_file_bytes properties: wav_file_bytes: - type: string + type: file format: binary default: true example: sample.wav From 984385c972a9dc8f59ebbc7334589d7562daa5d9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 27 May 2022 15:48:56 +0530 Subject: [PATCH 4429/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 1e11a5809..ac7b1f48d 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -7,6 +7,7 @@ info: The Automatic Speech Recognition (ASR) AI model is employed to understand the mapping of sound features to actual words in English. Use this microservice if the audio file consists of mostly speech with no long pauses in between. + This api supports upto 15 secs audio file only. version: '0.1.0' x-apitype: small file x-apitypedescription: |+ From e125214dc4835fb8ec7435700c1cd55092a04f27 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 27 May 2022 15:49:40 +0530 Subject: [PATCH 4430/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index ac7b1f48d..0f5fdd5c8 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -3,10 +3,7 @@ info: title: ASR EN Unified description: |+ This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. - - The Automatic Speech Recognition (ASR) AI model is employed to understand the mapping of sound features to actual words in English. - - Use this microservice if the audio file consists of mostly speech with no long pauses in between. + This api supports upto 15 secs audio file only. version: '0.1.0' x-apitype: small file From f4c09d89cd213d1cc9c451dc52df520ad9574ff8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 16:27:26 +0530 Subject: [PATCH 4431/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index e7817334c..cdbad0f72 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -140,7 +140,7 @@ paths: required: true /microservices/analytics/fleetroutingengine/v0/fres01: description: |+ - If client already has the table with the mentioned specification, there is no need to call the previous API. + This API is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle. post: tags: - v0.1.0 From ef89bc929f38b88fd4ccf2fa7d77d5a58d59d10f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 16:42:35 +0530 Subject: [PATCH 4432/5916] Update audio_processing_utility_v0.1.yaml --- utility/audio_processing_utility_v0.1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/utility/audio_processing_utility_v0.1.yaml b/utility/audio_processing_utility_v0.1.yaml index 06909ea23..a20422a6f 100644 --- a/utility/audio_processing_utility_v0.1.yaml +++ b/utility/audio_processing_utility_v0.1.yaml @@ -208,7 +208,15 @@ components: example: Failure versions: type: object - properties: + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version v0.1.1: type: array items: From 62cf1e1f89ec3ea76e0762b8bb5ae42a5b9368c9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 16:43:38 +0530 Subject: [PATCH 4433/5916] Update decryption_for_pki_key_v0.1.yaml --- utility/decryption_for_pki_key_v0.1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/utility/decryption_for_pki_key_v0.1.yaml b/utility/decryption_for_pki_key_v0.1.yaml index efc6d5572..e491ff362 100644 --- a/utility/decryption_for_pki_key_v0.1.yaml +++ b/utility/decryption_for_pki_key_v0.1.yaml @@ -208,7 +208,15 @@ components: example: Failure versions: type: object - properties: + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version v0.1.0: type: array items: From 69ca3d86f6c433e7e9dac93afbf5c00d9c9ab826 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 16:44:20 +0530 Subject: [PATCH 4434/5916] Update encryption_using_pki_key_v0.1.yaml --- utility/encryption_using_pki_key_v0.1.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/utility/encryption_using_pki_key_v0.1.yaml b/utility/encryption_using_pki_key_v0.1.yaml index 5a1f09f43..68d05dc46 100644 --- a/utility/encryption_using_pki_key_v0.1.yaml +++ b/utility/encryption_using_pki_key_v0.1.yaml @@ -222,6 +222,14 @@ components: versions: type: object properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version v0.1.0: type: array items: From c87e27473cb159412ff12f2d262176021f550245 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 16:45:12 +0530 Subject: [PATCH 4435/5916] Update newspaper_article_scraper_v0.1.yaml --- utility/newspaper_article_scraper_v0.1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/utility/newspaper_article_scraper_v0.1.yaml b/utility/newspaper_article_scraper_v0.1.yaml index acba9870a..d9c1c5f48 100644 --- a/utility/newspaper_article_scraper_v0.1.yaml +++ b/utility/newspaper_article_scraper_v0.1.yaml @@ -311,7 +311,15 @@ components: example: Failure versions: type: object - properties: + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version v0.1.0: type: array items: From 804d570df05b539f7b334b54e6bef03a25f3fc6a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 16:46:18 +0530 Subject: [PATCH 4436/5916] Update pki_key_generator_v0.1.yaml --- utility/pki_key_generator_v0.1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/utility/pki_key_generator_v0.1.yaml b/utility/pki_key_generator_v0.1.yaml index 484b11115..d9c6021eb 100644 --- a/utility/pki_key_generator_v0.1.yaml +++ b/utility/pki_key_generator_v0.1.yaml @@ -205,7 +205,15 @@ components: example: Failure versions: type: object - properties: + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version v0.1.1: type: array items: From 8f53a875478a8aaa6fa8a38c77f66d70eb2e20f9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 16:47:01 +0530 Subject: [PATCH 4437/5916] Update video-to-image_convertor_v0.1.yaml --- utility/video-to-image_convertor_v0.1.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/utility/video-to-image_convertor_v0.1.yaml b/utility/video-to-image_convertor_v0.1.yaml index 4c4ee3baa..abcab5ca6 100644 --- a/utility/video-to-image_convertor_v0.1.yaml +++ b/utility/video-to-image_convertor_v0.1.yaml @@ -225,6 +225,14 @@ components: versions: type: object properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version release + description: Latest Version v0.1.0: type: array items: From d8b57e4b3fba95c10d457222a9e87cccb8eb996a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 16:48:11 +0530 Subject: [PATCH 4438/5916] Update web_scraper_v1.yaml --- utility/web_scraper_v1.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/utility/web_scraper_v1.yaml b/utility/web_scraper_v1.yaml index cc9ce82bb..7bf7a6306 100644 --- a/utility/web_scraper_v1.yaml +++ b/utility/web_scraper_v1.yaml @@ -292,6 +292,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version update + description: Latest Version v1.1.1: type: array items: From 586aa0f47ba359c5c0c52943d4a6e3574f534f79 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 16:49:17 +0530 Subject: [PATCH 4439/5916] Update wikipedia_v1.yaml --- utility/wikipedia_v1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/utility/wikipedia_v1.yaml b/utility/wikipedia_v1.yaml index 46e8bcf62..ed9bca2b2 100644 --- a/utility/wikipedia_v1.yaml +++ b/utility/wikipedia_v1.yaml @@ -311,7 +311,15 @@ components: example: Failure versions: type: object - properties: + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 08, 2022 + x-details: Major version update + description: Latest Version v1.0.0: type: array items: From 070d9ab55c709eebe3dacf8fb87ec58027e8e2bc Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 17:07:30 +0530 Subject: [PATCH 4440/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index ad2d6d430..db3fe12aa 100644 --- a/index.yaml +++ b/index.yaml @@ -266,7 +266,8 @@ utility: web_scraper: title: Web Scraper versions: - 1.1.1: 'web_scraper.yaml' + 2.0.0: 'web_scraper.yaml' + 1.1.1: 'web_scraper_v1.yaml' document_convertor_eng: title: Document Convertor ENG versions: From b8e03582d928c60a841b324b9d570d1e2f0b2262 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 17:15:07 +0530 Subject: [PATCH 4441/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index c3ea1862a..79e297602 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -39,9 +39,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - keyLength: 1024 - publicKey: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... - privateKey: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... + key_length: 1024 + public_key: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... + private_key: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... '401': description: Unauthorized content: @@ -109,16 +109,16 @@ components: success: type: object properties: - keyLength: + key_length: type: integer format: int32 example: 1024 description: byte value of generated key - publicKey: + public_key: type: string example: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... description: generated public key for encoding the text - privateKey: + private_key: type: string example: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... description: Used for decoding the text encoded with the corresponding public key. From cff89ba6fbfc3d13e25ff53d14b0e1a6db2e9e33 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 27 May 2022 17:50:28 +0530 Subject: [PATCH 4442/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 70 ++++++++++++++++++++-------------------- 1 file changed, 35 insertions(+), 35 deletions(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index 717bc2424..ca2facca6 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -4,7 +4,7 @@ info: x-subscribelink: web_scraper description: |+ This Utility microservice extracts content or specific HTML elements from the input URL. It can extract HTML elements that matches the criteria given in the queryList HTTP request parameter. - For example, to look for all h1 elements in the webpage, one would pass the following queryList parameter: “queryList:[{‘title’:,’findType’:’findall’,‘tag’:’h1’ }]” + For example, to look for all h1 elements in the webpage, one would pass the following queryList parameter: “queryList:[{‘title’:,’find_type’:’findall’,‘tag’:’h1’ }]”
The results are returned in JSON format to rapidly retrieve website elements like tables, images, etc. from multiple URLs. x-additionalinfo: |+ @@ -18,45 +18,45 @@ info: {"url":<URL>} Returns all element text matches the tag name: - {"url":<URL>, queryList:[{"title":,"findType":"find_all","tag":"h1"}]}

Few queryList Examples: + {"url":<URL>, queryList:[{"title":,"find_Type":"find_all","tag":"h1"}]}

Few queryList Examples: Returns all Html matches the tag name: - queryList:[{"title":,"findType":"find_all","tag":"h1", "returnType":"html"}] + queryList:[{"title":,"find_type":"find_all","tag":"h1", "return_type":"html"}] Returns all Image Links: - queryList:[{"title":,"findType":"find_all","tag":"img", "attribute":"src"}] + queryList:[{"title":,"find_type":"find_all","tag":"img", "attribute":"src"}] Returns all Links(URL's): - queryList:[{"title":,"findType":"find_all","tag":"a", "attribute":"href"}] + queryList:[{"title":,"find_type":"find_all","tag":"a", "attribute":"href"}] Returns all links/text/html/images matches the class name: - queryList:[{"findType":"find_all", "class":,"tag":"a", "attribute":"href"}],{"findType":"find_all", "class":, "tag":"a"},{"findType":"find_all", "class":, "tag":"a", "returnType":"html"},{"findType":"find_all", "class":, "tag":"img", "attribute":"src"}] + queryList:[{"find_type":"find_all", "class":,"tag":"a", "attribute":"href"}],{"find_type":"find_all", "class":, "tag":"a"},{"find_type":"find_all", "class":, "tag":"a", "return_type":"html"},{"findType":"find_all", "class":, "tag":"img", "attribute":"src"}] - Using select in findType, either class/tag/id/nestedClassId is mandatory: - queryList:[{"findType":"select", "class_":, "tag":}] - queryList:[{"findType":"select", "class_":}] - queryList:[{"findType":"select", "tag":}] - queryList:[{"findType":"select", "id":, "tag":}] - queryList:[{"findType":"select", "id":}] - queryList:[{"findType":"select", "tag":}] - queryList:[{"findType":"select", "nestedClassId":}] - queryList:[{"findType":"select", "nestedClassId":, "returnType":"html"}] - queryList:[{"findType":"select", "nestedClassId":, "attribute":"href"}] - Example using nestedClassId:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"p.strikeout"}] + Using select in find_type, either class/tag/id/nested_class_id is mandatory: + queryList:[{"find_type":"select", "class_":, "tag":}] + queryList:[{"find_type":"select", "class_":}] + queryList:[{"find_type":"select", "tag":}] + queryList:[{"find_type":"select", "id":, "tag":}] + queryList:[{"find_type":"select", "id":}] + queryList:[{"find_type":"select", "tag":}] + queryList:[{"find_type":"select", "nested_class_id":}] + queryList:[{"find_type":"select", "nested_class_id":, "return_type":"html"}] + queryList:[{"find_type":"select", "nested_class_id":, "attribute":"href"}] + Example using nested_class_id:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"p.strikeout"}] To get h1 tags that match one or more class names -    "queryList":[{"findType":"select", "nestedClassId":"h1"}] +    "queryList":[{"find_type":"select", "nested_class_id":"h1"}] To get all p tags that matches element id -    "queryList":[{"findType":"select", "nestedClassId":"div#div2 p"}] - To get all litags that matches the element id
   "queryList":[{"findType":"select", "nestedClassId":"div#div2 ul li"}]
To get links from ul list -    "queryList":[{"findType":"select", "nestedClassId":"ul li a"}] - To get links from ul list that matches one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"ul li.class3 a"}] - To get links a element that matches the element id and class name
   "queryList":[{"findType":"select", "nestedClassId":"div#div2 ul li.class3 a"}] +    "queryList":[{"find_type":"select", "nested_class_id":"div#div2 p"}] + To get all litags that matches the element id
   "queryList":[{"find_type":"select", "nested_class_id":"div#div2 ul li"}]
To get links from ul list +    "queryList":[{"find_type":"select", "nested_class_id":"ul li a"}] + To get links from ul list that matches one or more class names
   "queryList":[{"find_type":"select", "nested_class_id":"ul li.class3 a"}] + To get links a element that matches the element id and class name
   "queryList":[{"find_type":"select", "nested_class_id":"div#div2 ul li.class3 a"}] Notes: - title - is an optional parameter, if title is empty the return json key is "values"
findType - find/find_all/select + title - is an optional parameter, if title is empty the return json key is "values"
find_type - find/find_all/select    • find - returns first matching possibility
   • find_all - returns all matching possibilities -    • select - If you want to search for tags that match two or more CSS classes. either nestedClassId is mandatory - **returnType is not supported with attribute. +    • select - If you want to search for tags that match two or more CSS classes. either nested_class_id is mandatory + **return_type is not supported with attribute. The results are returned in JSON format and allow for developers to rapidly retrieve website elements like tables, images, etc. from URL version: '2.0.0' @@ -188,7 +188,7 @@ components: description: The status of the API call - success/failure results: type: object - example: {"data": "text content of the webpage","dataList": [{ "title": "imagelinks", "findType": "find_all", "tag": "img", "attribute": "src" }]} + example: {"data": "text content of the webpage","dataList": [{ "title": "imagelinks", "find_type": "find_all", "tag": "img", "attribute": "src" }]} description: Json Object of returned results properties: data: @@ -343,14 +343,14 @@ components: query_list: type: array default: false - example: [{"title":,"findType":"find_all","tag":"h1", "returnType":"html"}] + example: [{"title":,"find_type":"find_all","tag":"h1", "return_type":"html"}] description: List of extraction conditions. items: oneOf: - type: object properties: - findType: - x-name: findType + find_type: + x-name: find_type type: string default: false example: |+ @@ -359,7 +359,7 @@ components: Extraction Type. Possible values are: 1. find - returns the first matching possibility 2. find_all - returns the all matching possibility - 3. select - If you want to search for tags that match two or more CSS classes. either nestedClassId is mandatory + 3. select - If you want to search for tags that match two or more CSS classes. either nested_class_id is mandatory tag: x-name: tag type: string @@ -381,7 +381,7 @@ components: example: sampleclass description: |+ The HTML element classname to extract - nestedClassId: + nested_class_id: x-name: nestedclassid type: string default: false @@ -395,7 +395,7 @@ components: default: false example: src description: |+ - The HTML element attribute to extract, supported only with tag/id/class/nestedClassId + The HTML element attribute to extract, supported only with tag/id/class/nested_class_id title: x-name: title type: string @@ -403,8 +403,8 @@ components: example: mytitle description: |+ The key value of the extracted result. By default, the return json key is "values". - returnType: - x-name: returnType + return_type: + x-name: return_type type: string default: false example: html From 9face0c9901ba31e2f86d0c1a3beda05b4e92ead Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 18:17:39 +0530 Subject: [PATCH 4443/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 44 ++++++++++++++--------------- 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index cdbad0f72..5ee350d90 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -140,7 +140,7 @@ paths: required: true /microservices/analytics/fleetroutingengine/v0/fres01: description: |+ - This API is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle. + If client already has the table with the mentioned specification, there is no need to call the previous API. post: tags: - v0.1.0 @@ -324,11 +324,11 @@ components: type: object properties: 0: - type: float + type: number description: Dwell time example: 15.0 1: - type: float + type: number description: Dwell time example: 17.0 quantity: @@ -346,22 +346,22 @@ components: type: object properties: 0: - type: float + type: number description: Total weight example: 74.0 1: - type: float + type: number description: Total weight example: 18.0 total_volume: type: object properties: 0: - type: float + type: number description: Total volume example: 117990.0 1: - type: float + type: number description: Total volume example: 192456.0 job_id: @@ -426,15 +426,15 @@ components: description: Distance between start and end in meter unit properties: 0: - type: float + type: number description: Minimum Distance example: 19542.0325169279 1: - type: float + type: number description: Minimum Distance example: 2047.8600016832 2: - type: float + type: number description: Minimum Distance example: 17530.5428739106 fresuccess: @@ -455,7 +455,7 @@ components: description: Vehicle Capacity example: 800 vehicle_volumes: - type: float + type: number description: Vehicle Volumes example: 5.368 route: @@ -544,9 +544,9 @@ components: example: [2.521598, 2.245718] items: oneOf: - - type: float + - type: number example: 2.521598 - - type: float + - type: number example: 2.245718 load_insurance: type: array @@ -563,7 +563,7 @@ components: description: Total Time Minimum example: 343 total_distance_m: - type: float + type: number description: Total Distance example: 36178.0 max_load_weight: @@ -571,15 +571,15 @@ components: description: Maximum Load Weight example: 309 weight_utilization: - type: float + type: number description: Weight Utilization example: 0.38625 max_load_volume: - type: float + type: number description: Maximum Load Volume example: 2.521598 volume_utilization: - type: float + type: number description: Volume Utilization example: 0.4697462742175857 centroid_coordinate: @@ -588,9 +588,9 @@ components: example: [1.3109918, 103.88885] items: oneOf: - - type: float + - type: number example: 1.3109918 - - type: float + - type: number example: 103.88885 forbidden: type: object @@ -669,12 +669,12 @@ components: Job Table information example: {"job_id":{"0":"PO-001","1":"PO-002"},"end_customer_id":{"0":"C-001","1":"C-002"},"end_customer_name":{"0":"customer-001","1":"customer002"},"delivery_or_pickup":{"0":"P","1":"P"},"timewindow_start":{"0":"10:00:00","1":"08:00:00"},"timewindow_end":{"0":"14:00:00","1":"14:00:00"},"return_by":{"0":"17:00:00","1":"17:00:00"},"quantity":{"0":1,"1":12},"total_weight":{"0":74.0,"1":18.0},"length":{"0":38.0,"1":11.0},"width":{"0":45.0,"1":54.0},"height":{"0":69.0,"1":27.0},"fragility":{"0":"yes","1":"no"},"weight_bearing":{"0":136.0,"1":216.0},"upright_requirement":{"0":"yes","1":"no"}} wg_threshold: - type: float + type: number description: |+ Weight Threshold example: 500.0 split_threshold: - type: float + type: number description: |+ Split Threshold example: 1000.0 @@ -734,7 +734,7 @@ components: End time of break example: 12:30:00 vol_util: - type: float + type: number description: |+ Volume Utilized example: 0.5 From 1d942f0b64cb49edf29b53f1bf51c34d3e6f8f17 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 18:18:28 +0530 Subject: [PATCH 4444/5916] Update load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index 5ca6f641b..4a22c4a89 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -179,11 +179,11 @@ components: type: object properties: 0: - type: float + type: number description: Total volume example: 0.329232 1: - type: float + type: number description: Total volume example: 0.2556 length: @@ -295,11 +295,11 @@ components: example: [0, 0, 0] items: oneOf: - - type: float + - type: number example: 0 - - type: float + - type: number example: 0 - - type: float + - type: number example: 0 up_requirement: type: string @@ -322,11 +322,11 @@ components: example: [62.80142396057187, 0, 0] items: oneOf: - - type: float + - type: number example: 62.80142396057187 - - type: float + - type: number example: 0 - - type: float + - type: number example: 0 up_requirement: type: string @@ -456,22 +456,22 @@ components: Unique vehicle identification code example: SG123XX vehicle_length: - type: float + type: number description: |+ The length of the available compartment of the vehicle in meter unit example: 2.1 vehicle_breadth: - type: float + type: number description: |+ The breadth of the available compartment of the vehicle in meter unit example: 2.1 vehicle_height: - type: float + type: number description: |+ The height of the available compartment of the vehicle in meter unit example: 2.1 weight_capacity: - type: float + type: number description: |+ The weight capacity of the vehicle example: 5000 From ab5ae645271ebc0853bc8896079465fc932ce15a Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Sat, 28 May 2022 00:49:07 +1000 Subject: [PATCH 4445/5916] Update Description and version details --- analytics/fleet_routing_engine.yaml | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 5ee350d90..0e3361c1b 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -1,12 +1,11 @@ openapi: 3.0.1 info: - title: Fleet Routing Engine (FRES01) + title: Fleet Routing Engine description: |+ Fleet Routing Engine is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle. version: '0.1.0' x-additionalinfo: |+ - - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - + - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/fleet_routing_engine.yaml x-subscribelink: fleetroutingengine x-apitype: Subscription @@ -17,14 +16,14 @@ info: x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ - Subscription Fee + The API is billed by per request for get recommendations. + The API is billed by per request. x-notes: |+ - File size cannot exceed 10 MB. + servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 27, 2022" + description: "Published Date - Jun 01, 2022" paths: /microservices/analytics/fleetroutingengine/v0/endcustpreprocess: description: |+ @@ -636,7 +635,7 @@ components: items: oneOf: - type: string - example: Published Date - May 27, 2022 + example: Published Date - Jun 01, 2022 x-details: Initial version release description: Latest Version endcustpreprocessinput: From 6bab9961347dc01d8ca04fd02ce43cea399e198c Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Sat, 28 May 2022 00:51:59 +1000 Subject: [PATCH 4446/5916] Update description and other details --- analytics/load_planning_engine.yaml | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index 4a22c4a89..80f358ac0 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -1,12 +1,11 @@ openapi: 3.0.1 info: - title: Load Planning Engine (LPE) + title: Load Planning Engine description: |+ Load Planning Engine API will give the client recommendation on how to arrange cargoes inside a vehicle. The input for the API is one vehicle with its assigned cargoes. version: '0.1.0' x-additionalinfo: |+ - - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - + - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/load_planning_engine.yaml x-subscribelink: loadplanningengine x-apitype: Subscription @@ -17,14 +16,14 @@ info: x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ - Subscription Fee + The API is billed by per request to get recommendations. + The API is billed by per request. x-notes: |+ - File size cannot exceed 10 MB. + servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 27, 2022" + description: "Published Date - Jun 01, 2022" paths: /microservices/analytics/loadplanningengine/v0/freinterface: description: |+ @@ -413,7 +412,7 @@ components: items: oneOf: - type: string - example: Published Date - May 27, 2022 + example: Published Date - Jun 01, 2022 x-details: Initial version release description: Latest Version freinterfaceinput: From 303f2c1ae7e09fdd5ce0d1317b3facb658408f8a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 20:35:36 +0530 Subject: [PATCH 4447/5916] updated responses --- analytics/fleet_routing_engine.yaml | 256 +++++++++++++++++++++++++--- 1 file changed, 233 insertions(+), 23 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 0e3361c1b..c45124be5 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -6,6 +6,7 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/fleet_routing_engine.yaml x-subscribelink: fleetroutingengine x-apitype: Subscription @@ -18,7 +19,7 @@ info: x-billingmethod: |+ The API is billed by per request. x-notes: |+ - + servers: - url: 'https://dev-apis.sentient.io' tags: @@ -40,21 +41,62 @@ paths: schema: $ref: '#/components/schemas/endcustpreprocesssuccess' example: - message: Successfully Added + message: Successfully Processed status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' '419': description: Input Field Missing content: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' - + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' security: - APIAuthorizer: [] requestBody: @@ -77,21 +119,62 @@ paths: schema: $ref: '#/components/schemas/jobpreprocesssuccess' example: - message: Successfully Added + message: Successfully Processed status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' '419': description: Input Field Missing content: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' - + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' security: - APIAuthorizer: [] requestBody: @@ -114,21 +197,62 @@ paths: schema: $ref: '#/components/schemas/travelmatrixsuccess' example: - message: Successfully Added + message: Successfully Processed status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' '419': description: Input Field Missing content: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' - + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' security: - APIAuthorizer: [] requestBody: @@ -151,21 +275,62 @@ paths: schema: $ref: '#/components/schemas/fresuccess' example: - message: Successfully Added + message: Successfully Processed status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' '419': description: Input Field Missing content: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' - + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' security: - APIAuthorizer: [] requestBody: @@ -334,11 +499,11 @@ components: type: object properties: 0: - type: integer + type: number description: Quantity example: 1 1: - type: integer + type: number description: Quantity example: 12 total_weight: @@ -450,7 +615,7 @@ components: description: Vehicle ID example: vehicle-9 vehicle_capacity: - type: integer + type: number description: Vehicle Capacity example: 800 vehicle_volumes: @@ -523,9 +688,9 @@ components: example: [0, 17] items: oneOf: - - type: integer + - type: number example: 0 - - type: integer + - type: number example: 17 load_weight: type: array @@ -533,9 +698,9 @@ components: example: [309, 263] items: oneOf: - - type: integer + - type: number example: 309 - - type: integer + - type: number example: 263 load_volume: type: array @@ -553,12 +718,12 @@ components: example: [9, 8] items: oneOf: - - type: integer + - type: number example: 9 - - type: integer + - type: number example: 8 total_time_min: - type: integer + type: number description: Total Time Minimum example: 343 total_distance_m: @@ -566,7 +731,7 @@ components: description: Total Distance example: 36178.0 max_load_weight: - type: integer + type: number description: Maximum Load Weight example: 309 weight_utilization: @@ -600,6 +765,51 @@ components: status: type: string example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure notfound: type: object properties: @@ -644,7 +854,7 @@ components: - postal_code properties: postal_code: - type: integer + type: number default: true example: 569933 description: |+ @@ -690,7 +900,7 @@ components: End customer table information example: {"end_customer_id":{"0":"C-001","1":"C-002"},"end_customer_name":{"0":"customer001","1":"customer002"},"postcode":{"0":"569871","1":"628588"},"customer_priority":{"0":"low","1":"moderate"},"dwell_time":{"0":13.0,"1":17.0},"latitude":{"0":"1.37787324453845","1":"1.3245369061813"},"longitude":{"0":"103.864744699759","1":"103.697241531345"},"postal_district":{"0":"20","1":"22"}} depot: - type: integer + type: number default: true description: Depot example: 569933 @@ -705,7 +915,7 @@ components: - travel_matrix_table properties: depot: - type: integer + type: number default: true description: |+ Depot Information From 842f29a7ed619b843ad037451ffb0b006dc0769c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 20:36:57 +0530 Subject: [PATCH 4448/5916] updated responses --- analytics/fleet_routing_engine.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index c45124be5..7e48628d6 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -6,7 +6,6 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/fleet_routing_engine.yaml x-subscribelink: fleetroutingengine x-apitype: Subscription @@ -19,7 +18,7 @@ info: x-billingmethod: |+ The API is billed by per request. x-notes: |+ - + servers: - url: 'https://dev-apis.sentient.io' tags: From 839915b33529e7621363d104e56fc303f04f58a8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 20:41:00 +0530 Subject: [PATCH 4449/5916] updated responses --- analytics/load_planning_engine.yaml | 165 ++++++++++++++++++++++++---- 1 file changed, 146 insertions(+), 19 deletions(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index 80f358ac0..ab703943d 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -42,19 +42,60 @@ paths: example: message: Successfully Added status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' '419': description: Input Field Missing content: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' - + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' security: - APIAuthorizer: [] requestBody: @@ -79,19 +120,60 @@ paths: example: message: Successfully Added status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' '419': description: Input Field Missing content: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' - + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' security: - APIAuthorizer: [] requestBody: @@ -156,22 +238,22 @@ components: type: object properties: 0: - type: integer + type: number description: Quantity example: 19 1: - type: integer + type: number description: Quantity example: 18 total_weight: type: object properties: 0: - type: integer + type: number description: Total Weight example: 4 1: - type: integer + type: number description: Total Weight example: 1 total_volume: @@ -189,33 +271,33 @@ components: type: object properties: 0: - type: integer + type: number description: Length example: 6 1: - type: integer + type: number description: Length example: 4 width: type: object properties: 0: - type: integer + type: number description: Width example: 38 1: - type: integer + type: number description: Width example: 71 height: type: object properties: 0: - type: integer + type: number description: Height example: 76 1: - type: integer + type: number description: Height example: 50 fragility: @@ -233,11 +315,11 @@ components: type: object properties: 0: - type: integer + type: number description: Weight Bearing example: 246 1: - type: integer + type: number description: Weight Bearing example: 175 upright_requirement: @@ -255,11 +337,11 @@ components: type: object properties: 0: - type: integer + type: number description: Sequence example: 9 1: - type: integer + type: number description: Sequence example: 175 lpesuccess: @@ -309,7 +391,7 @@ components: description: Fragility example: 0 weight_bearing: - type: integer + type: number description: Weight Bearing example: 127 PO-019: @@ -336,7 +418,7 @@ components: description: Fragility example: 0 weight_bearing: - type: integer + type: number description: Weight Bearing example: 175 unfit_box: @@ -356,7 +438,7 @@ components: description: Fragility example: 1 weight_bearing: - type: integer + type: number description: Weight Bearing example: 188 unfit_reason: @@ -377,6 +459,51 @@ components: status: type: string example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure notfound: type: object properties: From 6767c38e2055d20a569fe99cfb0d2dc463cbf730 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 20:53:26 +0530 Subject: [PATCH 4450/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 7e48628d6..7d57e48a9 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -850,9 +850,9 @@ components: endcustpreprocessinput: type: object required: - - postal_code + - postcode properties: - postal_code: + postcode: type: number default: true example: 569933 From f670ceee979554792d668b6b96592ebdc195b555 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 27 May 2022 21:19:50 +0530 Subject: [PATCH 4451/5916] Update load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index ab703943d..1fafcbb1b 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -40,7 +40,7 @@ paths: schema: $ref: '#/components/schemas/freinterfacesuccess' example: - message: Successfully Added + message: Successfully Processed status: Success '401': description: Unauthorized @@ -118,7 +118,7 @@ paths: schema: $ref: '#/components/schemas/lpesuccess' example: - message: Successfully Added + message: Successfully Processed status: Success '401': description: Unauthorized From 60298177517a85c7d173f0005ef69ad0914c622f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 30 May 2022 09:35:48 +0530 Subject: [PATCH 4452/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 50 ++++++++++++++++++++-------------------- 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index ca2facca6..1690bb53d 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -3,8 +3,8 @@ info: title: Web Scraper x-subscribelink: web_scraper description: |+ - This Utility microservice extracts content or specific HTML elements from the input URL. It can extract HTML elements that matches the criteria given in the queryList HTTP request parameter. - For example, to look for all h1 elements in the webpage, one would pass the following queryList parameter: “queryList:[{‘title’:,’find_type’:’findall’,‘tag’:’h1’ }]” + This Utility microservice extracts content or specific HTML elements from the input URL. It can extract HTML elements that matches the criteria given in the query_list HTTP request parameter. + For example, to look for all h1 elements in the webpage, one would pass the following query_list parameter: “query_list:[{‘title’:,’find_type’:’findall’,‘tag’:’h1’ }]”
The results are returned in JSON format to rapidly retrieve website elements like tables, images, etc. from multiple URLs. x-additionalinfo: |+ @@ -18,39 +18,39 @@ info: {"url":<URL>} Returns all element text matches the tag name: - {"url":<URL>, queryList:[{"title":,"find_Type":"find_all","tag":"h1"}]}

Few queryList Examples: + {"url":<URL>, query_list:[{"title":,"find_Type":"find_all","tag":"h1"}]}

Few query_list Examples: Returns all Html matches the tag name: - queryList:[{"title":,"find_type":"find_all","tag":"h1", "return_type":"html"}] + query_list:[{"title":,"find_type":"find_all","tag":"h1", "return_type":"html"}] Returns all Image Links: - queryList:[{"title":,"find_type":"find_all","tag":"img", "attribute":"src"}] + query_list:[{"title":,"find_type":"find_all","tag":"img", "attribute":"src"}] Returns all Links(URL's): - queryList:[{"title":,"find_type":"find_all","tag":"a", "attribute":"href"}] + query_list:[{"title":,"find_type":"find_all","tag":"a", "attribute":"href"}] Returns all links/text/html/images matches the class name: - queryList:[{"find_type":"find_all", "class":,"tag":"a", "attribute":"href"}],{"find_type":"find_all", "class":, "tag":"a"},{"find_type":"find_all", "class":, "tag":"a", "return_type":"html"},{"findType":"find_all", "class":, "tag":"img", "attribute":"src"}] + query_list:[{"find_type":"find_all", "class":,"tag":"a", "attribute":"href"}],{"find_type":"find_all", "class":, "tag":"a"},{"find_type":"find_all", "class":, "tag":"a", "return_type":"html"},{"findType":"find_all", "class":, "tag":"img", "attribute":"src"}] Using select in find_type, either class/tag/id/nested_class_id is mandatory: - queryList:[{"find_type":"select", "class_":, "tag":}] - queryList:[{"find_type":"select", "class_":}] - queryList:[{"find_type":"select", "tag":}] - queryList:[{"find_type":"select", "id":, "tag":}] - queryList:[{"find_type":"select", "id":}] - queryList:[{"find_type":"select", "tag":}] - queryList:[{"find_type":"select", "nested_class_id":}] - queryList:[{"find_type":"select", "nested_class_id":, "return_type":"html"}] - queryList:[{"find_type":"select", "nested_class_id":, "attribute":"href"}] - Example using nested_class_id:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "queryList":[{"findType":"select", "nestedClassId":"p.strikeout"}] + query_list:[{"find_type":"select", "class_":, "tag":}] + query_list:[{"find_type":"select", "class_":}] + query_list:[{"find_type":"select", "tag":}] + query_list:[{"find_type":"select", "id":, "tag":}] + query_list:[{"find_type":"select", "id":}] + query_list:[{"find_type":"select", "tag":}] + query_list:[{"find_type":"select", "nested_class_id":}] + query_list:[{"find_type":"select", "nested_class_id":, "return_type":"html"}] + query_list:[{"find_type":"select", "nested_class_id":, "attribute":"href"}] + Example using nested_class_id:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "query_list":[{"findType":"select", "nestedClassId":"p.strikeout"}] To get h1 tags that match one or more class names -    "queryList":[{"find_type":"select", "nested_class_id":"h1"}] +    "query_list":[{"find_type":"select", "nested_class_id":"h1"}] To get all p tags that matches element id -    "queryList":[{"find_type":"select", "nested_class_id":"div#div2 p"}] - To get all litags that matches the element id
   "queryList":[{"find_type":"select", "nested_class_id":"div#div2 ul li"}]
To get links from ul list -    "queryList":[{"find_type":"select", "nested_class_id":"ul li a"}] - To get links from ul list that matches one or more class names
   "queryList":[{"find_type":"select", "nested_class_id":"ul li.class3 a"}] - To get links a element that matches the element id and class name
   "queryList":[{"find_type":"select", "nested_class_id":"div#div2 ul li.class3 a"}] +    "query_list":[{"find_type":"select", "nested_class_id":"div#div2 p"}] + To get all litags that matches the element id
   "query_list":[{"find_type":"select", "nested_class_id":"div#div2 ul li"}]
To get links from ul list +    "query_list":[{"find_type":"select", "nested_class_id":"ul li a"}] + To get links from ul list that matches one or more class names
   "query_list":[{"find_type":"select", "nested_class_id":"ul li.class3 a"}] + To get links a element that matches the element id and class name
   "query_list":[{"find_type":"select", "nested_class_id":"div#div2 ul li.class3 a"}] Notes: title - is an optional parameter, if title is empty the return json key is "values"
find_type - find/find_all/select @@ -198,7 +198,7 @@ components: dataList: type: array example: [{"imagelinks": ["https://ichef.bbci.co.uk/images/ic/240x135/p08x3gpx.jpg","https://ichef.bbci.co.uk/curationkit-ichef/240x135/cpsprodpb/16FC3/production/_115174149_063942058.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x2qxp.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x39pc.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08wsqty.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08vchc7.jpg"]}] - description: Extracted results of queryList in a list format. + description: Extracted results of query_list in a list format. unauthorized: type: object properties: @@ -322,7 +322,7 @@ components: oneOf: - type: string example: Published Date - Jul 03, 2020 - x-details: Improvised search filters using queryList, now you can even navigate down the html tree like get all p tag inside a div class "class":"class_name p" + x-details: Improvised search filters using query_list, now you can even navigate down the html tree like get all p tag inside a div class "class":"class_name p" description: Depreciating on Oct 29, 2020 v0.1.0: type: array From 9ef455036daf1d8b1ccdfdb1df87c34a98ec50ad Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 30 May 2022 10:16:41 +0530 Subject: [PATCH 4453/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 7d57e48a9..1e9aa7718 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -3,6 +3,10 @@ info: title: Fleet Routing Engine description: |+ Fleet Routing Engine is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle. + There are limitations on the payload that can be posted to the API, which are: + 1. The number of maximum jobs is 60. + 2. The number of unique end customer is 50. + 3. The number of vehicles in the fleet is 15. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. From 175fa26af11c595273e4020c4b435751d71cbbc2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 30 May 2022 10:22:06 +0530 Subject: [PATCH 4454/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index ee2ccc5a2..41d00332a 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -1649,9 +1649,9 @@ components: input: type: object required: - - file_path + - file properties: - file_path: + file: type: string format: binary default: true From 6e97ccd34453f5331204e42b11a1a152c4c0c865 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 30 May 2022 10:22:17 +0530 Subject: [PATCH 4455/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index fd438fee5..c9b091717 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -340,9 +340,9 @@ components: input: type: object required: - - file_path + - file properties: - file_path: + file: type: string format: binary default: true From e6831f29f347549f4682c3251f5d9055322c263d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 30 May 2022 17:10:47 +0530 Subject: [PATCH 4456/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 0f5fdd5c8..b9422da1d 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -25,7 +25,7 @@ tags: - name: "v0.1.0" description: "Published Date - May 27, 2022" paths: - /microservice/voice/asrenunified/v0/get_transcript: + /microservices/voice/asrenunified/v0/get_transcript: post: tags: - v0.1.0 From 7bbe19cce07fdc8a3e61175580d34add9bf1f38e Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Tue, 31 May 2022 14:37:05 +0800 Subject: [PATCH 4457/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index a551205a6..3e7edfe1b 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -3,10 +3,10 @@ info: title: Content Interest Profiling x-subscribelink: content_interesr_profiling description: |+ - This microservice helps profile the content and interest from the web page traffic. Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/Cookie/etc.) based on the history of documents it has accessed over time and the profile of those documents. - Upon subscription, a javascript is sent to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well the user. If required, users can also pass in user ID in order to identify the user using the external_id field. - It would address English language texts only. - In addition to the CIP microservices, we are also releasing a few analytics overview microservice namely, traffic overview, page overview and external id analytics. + This Analytics microservice helps profile the content and interest from the web page traffic. Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/Cookie/etc.) based on the history of documents it has accessed over time and the profile of those documents. + Upon subscription, a javascript is sent to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well as the user. If required, users can also pass in user ID to identify the user using the external_id field. + Only English language texts will be addressed. + In addition to the Content Interest Profiling microservices, we are also releasing a few analytics overview microservice namely, traffic overview, page overview, and external id analytics. x-additionalinfo : |+ Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/content_interest_profile.yaml From c245540763d93b72c06f3acc53885d956ec61adf Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Tue, 31 May 2022 14:38:41 +0800 Subject: [PATCH 4458/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index e29babf91..16a93ca8a 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Recommendation Engine description: |+ - Recommendation Engine is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. + This Analytics microservice is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. From c96f3cd4e7bb51036aee4f63620f89f9ed63ce59 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 31 May 2022 12:46:27 +0530 Subject: [PATCH 4459/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index e93c52446..42fdf81ac 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -461,7 +461,7 @@ components: example: false description: Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. - enable_words: + word_level: type: boolean default: false example: false From 7ef3009f6b4cf13f7f7a84e98e8470c263349d55 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 31 May 2022 12:52:15 +0530 Subject: [PATCH 4460/5916] Create foretell_prediction --- analytics/foretell_prediction | 640 ++++++++++++++++++++++++++++++++++ 1 file changed, 640 insertions(+) create mode 100644 analytics/foretell_prediction diff --git a/analytics/foretell_prediction b/analytics/foretell_prediction new file mode 100644 index 000000000..9b1c96f54 --- /dev/null +++ b/analytics/foretell_prediction @@ -0,0 +1,640 @@ +openapi: 3.0.1 +info: + title: Foretell Prediction + description: |+ + Prediction API will return the predicted value of a time series together with the RMSE, MAE, and MAPE of the prediction. + version: '0.1.0' + x-additionalinfo: |+ + - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/load_planning_engine.yaml + x-subscribelink: loadplanningengine + x-apitype: Subscription + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jun 01, 2022" +paths: + /microservices/analytics/foretellprediction/v0/fourierprediction: + description: |+ + The fast Fourier transform (FFT) API will return the predicted value of a time series together with the RMSE, MAE, and MAPE of the prediction. The API uses FFT algorithm to predict. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/fftsuccess' + example: + message: Successfully Added + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/fftinput' + required: true + /microservices/analytics/foretellprediction/v0/arima: + description: |+ + The Auto ARIMA API will return the predicted value of a time series together with the RMSE, MAE, and MAPE of the prediction. The API uses ARIMA algorithm to predict. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/arimasuccess' + example: + message: Successfully Added + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/arimainput' + required: true + /microservices/analytics/foretellprediction/v0/holtwinters: + description: |+ + The Holt Winters Prediction API will return the predicted value of a time series together with the RMSE, MAE, and MAPE of the prediction. The API uses Holt Winters algorithm to predict. The API will automatically decide which is the best Holt Winters method to be used. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/holtsuccess' + example: + message: Successfully Added + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/holtinput' + required: true +components: + schemas: + fftsuccess: + type: object + properties: + prediction_result: + type: object + description: |+ + The result of the prediction with its RMSE, MAE, MAPE and the number of used harmonics. The MAPE will not be displayed if there are zeroes in the time series data. + properties: + predicted_value: + type: array + description: Predicted Value + example: [5540.428571428572, 5453.428571428572, 5619.428571428571, 6028.428571428573, 5604.428571428572, 7644.4285714285725] + items: + oneOf: + - type: number + example: 5540.428571428572 + - type: number + example: 5453.428571428572 + - type: number + example: 5619.428571428571 + - type: number + example: 6028.428571428573 + - type: number + example: 5604.428571428572 + - type: number + example: 7644.4285714285725 + RMSE: + type: number + description: RMSE + example: 1725.8486231416707 + MAE: + type: number + example: 1603.65 + MAPE: + type: number + example: 0.7543808084464082 + num_harmonics_used: + type: number + description: Number of Harmonics Used + example: 10 + request_timestamp: + type: string + description: The timestamp of the API request + example: 2022-05-31 12:41:59 + engine_code: + type: string + description: Engine Code + example: Foretell_Pred_FFT + arimasuccess: + type: object + properties: + prediction_result: + type: object + description: |+ + The result of the prediction with its RMSE, MAE, MAPE and the number of used harmonics. The MAPE will not be displayed if there are zeroes in the time series data. + properties: + predicted_value: + type: array + description: Predicted Value + example: [114628.97971901932, 120039.43041737839, 125549.01414134393, 127999.19084135264, 128094.22984685091, 127381.1904239618, 126809.23819011671, 126603.39683132197] + items: + oneOf: + - type: number + example: 114628.97971901932 + - type: number + example: 120039.43041737839 + - type: number + example: 125549.01414134393 + - type: number + example: 127999.19084135264 + - type: number + example: 128094.22984685091 + - type: number + example: 127381.1904239618 + - type: number + example: 126809.23819011671 + - type: number + example: 126603.39683132197 + RMSE: + type: number + description: RMSE + example: 14950.904632152795 + MAE: + type: number + description: MAE + example: 12732.142857142859 + MAPE: + type: number + description: MAPE + example: 0.09103596105919762 + request_timestamp: + type: string + description: The timestamp of the API request + example: 2022-05-31 12:48:30 + engine_code: + type: string + description: Engine Code + example: Foretell_Pred_Auto_ARIMA + holtsuccess: + type: object + properties: + prediction_result: + type: object + description: |+ + The result of the prediction with its RMSE, MAE, MAPE and the number of used harmonics. The MAPE will not be displayed if there are zeroes in the time series data. + properties: + predicted_value: + type: array + description: Predicted Value + example: [119085.29999183137, 119085.29999183137, 119085.29999183137, 119085.29999183137, 119085.29999183137, 119085.29999183137, 119085.29999183137, 119085.29999183137] + items: + oneOf: + - type: number + example: 119085.29999183137 + - type: number + example: 119085.29999183137 + - type: number + example: 119085.29999183137 + - type: number + example: 119085.29999183137 + - type: number + example: 119085.29999183137 + - type: number + example: 119085.29999183137 + - type: number + example: 119085.29999183137 + - type: number + example: 119085.29999183137 + RMSE: + type: number + description: RMSE + example: 15492.776612163581 + MAE: + type: number + description: MAE + example: 12320.00029197186 + MAPE: + type: number + description: MAPE + example: 0.09503279348527888 + best_model: + type: string + description: Best Model + example: single_exp + request_timestamp: + type: string + description: The timestamp of the API request + example: 2022-05-31 12:55:05 + engine_code: + type: string + description: Engine Code + example: Foretell_Pred_Holt_Winters + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 01, 2022 + x-details: Initial version release + description: Latest Version + fftinput: + type: object + required: + - time_series_data + - num_predict + properties: + time_series_data: + type: array + default: true + description: |+ + List of timeseries data in chronological manner (sorted), the length of the data must be > 5, without null value. + example: [351, 264, 430, 839, 415, 2455, 4510, 4295] + items: + oneOf: + - type: number + example: 351 + - type: number + example: 264 + - type: number + example: 430 + - type: number + example: 839 + - type: number + example: 415 + - type: number + example: 2455 + - type: number + example: 4510 + - type: number + example: 4295 + num_predict: + type: number + default: true + description: |+ + Number of prediction (in time unit), e.g., to predict for the next 7 days. The maximum number is 20% of the length of the time_series_data. + example: 7 + num_harmonics: + type: number + description: |+ + Harmonic number (parameter tuning for FFT) + example: 10 + arimainput: + type: object + required: + - time_series_data + - num_predict + properties: + time_series_data: + type: array + default: true + description: |+ + List of timeseries data in chronological manner (sorted), the length of the data must be > 5, without null value. + example: [112000.0, 118000.0, 132000.0, 129000.0, 121000.0, 135000.0, 148000.0, 148000.0, 136000.0, 119000.0] + items: + oneOf: + - type: number + example: 112000.0 + - type: number + example: 118000.0 + - type: number + example: 132000.0 + - type: number + example: 129000.0 + - type: number + example: 121000.0 + - type: number + example: 135000.0 + - type: number + example: 148000.0 + - type: number + example: 148000.0 + - type: number + example: 136000.0 + - type: number + example: 119000.0 + num_predict: + type: number + default: true + description: |+ + Number of prediction (in time unit), e.g., to predict for the next 7 days. The maximum number is 20% of the length of the time_series_data. + example: 24 + holtinput: + type: object + required: + - time_series_data + - num_predict + properties: + time_series_data: + type: array + default: true + description: |+ + List of timeseries data in chronological manner (sorted), the length of the data must be > 5, without null value. + example: [112000.0, 118000.0, 132000.0, 129000.0, 121000.0, 135000.0, 148000.0, 148000.0, 136000.0, 119000.0] + items: + oneOf: + - type: number + example: 112000.0 + - type: number + example: 118000.0 + - type: number + example: 132000.0 + - type: number + example: 129000.0 + - type: number + example: 121000.0 + - type: number + example: 135000.0 + - type: number + example: 148000.0 + - type: number + example: 148000.0 + - type: number + example: 136000.0 + - type: number + example: 119000.0 + num_predict: + type: number + default: true + description: |+ + Number of prediction (in time unit), e.g., to predict for the next 7 days. The maximum number is 20% of the length of the time_series_data. + example: 24 + seasonal_cycle: + type: number + description: |+ + The number of data points that is required for it to complete one seasonal cycle, e.g., the value will be 7 if the data is daily and the seasonal cycle happens weekly; the value will be 12 if the data is monthly and the seasonal cycle happens every year. + example: 2 + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 06e3e0ed04fba2b74ef53140171a63eebf1a833a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 31 May 2022 12:52:29 +0530 Subject: [PATCH 4461/5916] Rename foretell_prediction to foretell_prediction.yaml --- analytics/{foretell_prediction => foretell_prediction.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename analytics/{foretell_prediction => foretell_prediction.yaml} (100%) diff --git a/analytics/foretell_prediction b/analytics/foretell_prediction.yaml similarity index 100% rename from analytics/foretell_prediction rename to analytics/foretell_prediction.yaml From f95a0a3ba58ac18169d5e7bd4389aa2f6f5491f2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 31 May 2022 12:54:06 +0530 Subject: [PATCH 4462/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index db3fe12aa..f01e0d39e 100644 --- a/index.yaml +++ b/index.yaml @@ -484,6 +484,10 @@ analytics: title: Load Planning Engine versions: 0.1.0: 'load_planning_engine.yaml' + foretell_prediction: + title: Foretell Prediction + versions: + 0.1.0: 'foretell_prediction.yaml' data alliance: download_dataset_api: title: Download Dataset API From 25aca372ec140b16350f3867ab4e0c33c387e4cc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 31 May 2022 13:47:24 +0530 Subject: [PATCH 4463/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index 9b1c96f54..ce46bc893 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -2,12 +2,12 @@ openapi: 3.0.1 info: title: Foretell Prediction description: |+ - Prediction API will return the predicted value of a time series together with the RMSE, MAE, and MAPE of the prediction. + Foretell Prediction API will return the predicted value of a time series together with the RMSE, MAE, and MAPE of the prediction. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/load_planning_engine.yaml - x-subscribelink: loadplanningengine + x-subscribelink: foretellprediction x-apitype: Subscription x-apitypedescription: |+ Fast | Single-Call | 10MB/Call From 56595f082eb6ecfea9822db3e0edf5eecb8356bb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 31 May 2022 13:58:13 +0530 Subject: [PATCH 4464/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index b9422da1d..0f5fdd5c8 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -25,7 +25,7 @@ tags: - name: "v0.1.0" description: "Published Date - May 27, 2022" paths: - /microservices/voice/asrenunified/v0/get_transcript: + /microservice/voice/asrenunified/v0/get_transcript: post: tags: - v0.1.0 From d6eee3f0a47e39d0d695f5c5e54ad82c2f49e7c0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 31 May 2022 14:16:51 +0530 Subject: [PATCH 4465/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index ce46bc893..29cbb3c97 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -6,7 +6,7 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/load_planning_engine.yaml + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/foretell_prediction.yaml x-subscribelink: foretellprediction x-apitype: Subscription x-apitypedescription: |+ From cce05b388a3e1e47a50ec82591e92a335ad21b5f Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 31 May 2022 18:13:58 +0800 Subject: [PATCH 4466/5916] Masked fr docs changed --- computer_vision/masked_face_recognition.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/masked_face_recognition.yaml b/computer_vision/masked_face_recognition.yaml index 0516f064e..55ffa305c 100644 --- a/computer_vision/masked_face_recognition.yaml +++ b/computer_vision/masked_face_recognition.yaml @@ -162,7 +162,7 @@ components: properties: output: type: array - example: {conf: 0.5590788722038269,identity: Teo Chee Hean,location:[71,19,118,82]} + example: {conf: 0.5590788722038269,identity: Teo Chee Hean,location:[19,118,82,71]} description: Details of the masked face recognised from the image items: oneOf: @@ -177,8 +177,8 @@ components: example: Teo Chee Hean type: string location: - description: bounding box of the face in pixel coordinates of left, top, right, bottom. - example: [71,19,118,82] + description: bounding box of the face in pixel coordinates of top, right, bottom, left. + example: [19,118,82,71] items: oneOf: - type: integer From 5aadd9aea9e55b19b4463517261adfbea8b06e4c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 31 May 2022 15:59:24 +0530 Subject: [PATCH 4467/5916] Create foretell_profiling.yaml --- analytics/foretell_profiling.yaml | 560 ++++++++++++++++++++++++++++++ 1 file changed, 560 insertions(+) create mode 100644 analytics/foretell_profiling.yaml diff --git a/analytics/foretell_profiling.yaml b/analytics/foretell_profiling.yaml new file mode 100644 index 000000000..0ae834552 --- /dev/null +++ b/analytics/foretell_profiling.yaml @@ -0,0 +1,560 @@ +openapi: 3.0.1 +info: + title: Foretell Profiling + description: |+ + Profiling API will take a time series data and process it to give response of its classification, change point, and predictability score. The period of each data point of the time series data input is to be determined by the client. + version: '0.1.0' + x-additionalinfo: |+ + - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. + - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/foretell_profiling.yaml + x-subscribelink: foretellprofiling + x-apitype: Subscription + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jun 01, 2022" +paths: + /microservices/analytics/foretellprofiling/v0/classification: + description: |+ + The classification API will return the class of the time series data which are classification by age and classification by characteristics. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/classificationsuccess' + example: + message: Successfully Added + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/classificationinput' + required: true + /microservices/analytics/foretellprofiling/v0/cpd: + description: |+ + The change point detection API will return the index of the time series data where the change point is occurred. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/cdpsuccess' + example: + message: Successfully Added + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/cdpinput' + required: true + /microservices/analytics/foretellprofiling/v0/predictability: + description: |+ + The predictability API will return a predictability score of the time series data which represent by a number between 0 to 1. The higher the number the better the data can be predicted. The API will also give predictability score per change point segment, if the change point index is provided. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/predictsuccess' + example: + message: Successfully Added + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/predictinput' + required: true +components: + schemas: + classificationsuccess: + type: object + properties: + time_series_class: + type: array + description: |+ + Classification result of the time series data, by age and by characteristics. + example: ["Regular", "Continuous"] + items: + oneOf: + - type: string + example: Regular + - type: string + example: Continuous + request_timestamp: + type: string + description: The timestamp of the API request + example: 2022-05-31 17:18:26 + engine_code: + type: string + description: Engine Code + example: Foretell_Pro_Class + cdpsuccess: + type: object + properties: + change_point_index: + type: array + description: |+ + The change point detection API will return the index of the time series data where the change point is occurred. + example: [2, 6, 8] + items: + oneOf: + - type: number + example: 2 + - type: number + example: 6 + - type: number + example: 8 + request_timestamp: + type: string + description: The timestamp of the API request + example: 2022-05-31 17:28:55 + engine_code: + type: string + description: Engine Code + example: Foretell_Pro_CPD + response_status: + type: string + description: Indicating if any change point detected + example: change point detected + penalty: + type: number + description: |+ + Penalty (the higher, the more sensitive the detection) + example: 41050177.178 + predictsuccess: + type: object + properties: + predictability_result: + type: array + description: |+ + The result of the prediction with its RMSE, MAE, MAPE and the number of used harmonics. The MAPE will not be displayed if there are zeroes in the time series data. + example: [{"start_index": 0, "end_index": 9, "predictability": 0.0}] + items: + oneOf: + - type: object + properties: + start_index: + type: number + description: Start Index + example: 0 + end_index: + type: number + description: End Index + example: 9 + predictability: + type: number + description: Predictability + example: 0.0 + request_timestamp: + type: string + description: The timestamp of the API request + example: 2022-05-31 17:28:32 + engine_code: + type: string + description: Engine Code + example: Foretell_Pro_Pred + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 01, 2022 + x-details: Initial version release + description: Latest Version + classificationinput: + type: object + required: + - time_series_data + properties: + time_series_data: + type: array + default: true + description: |+ + List of timeseries data in chronological manner + example: [351, 264, 430, 839, 415, 2455, 4510, 4295] + items: + oneOf: + - type: number + example: 351 + - type: number + example: 264 + - type: number + example: 430 + - type: number + example: 839 + - type: number + example: 415 + - type: number + example: 2455 + - type: number + example: 4510 + - type: number + example: 4295 + cdpinput: + type: object + required: + - time_series_data + properties: + time_series_data: + type: array + default: true + description: |+ + List of timeseries data in chronological manner + example: [112000.0, 118000.0, 132000.0, 129000.0, 121000.0, 135000.0, 148000.0, 148000.0, 136000.0, 119000.0] + items: + oneOf: + - type: number + example: 112000.0 + - type: number + example: 118000.0 + - type: number + example: 132000.0 + - type: number + example: 129000.0 + - type: number + example: 121000.0 + - type: number + example: 135000.0 + - type: number + example: 148000.0 + - type: number + example: 148000.0 + - type: number + example: 136000.0 + - type: number + example: 119000.0 + penalty: + type: number + description: |+ + Penalty (the higher, the more sensitive the detection) + example: 41050177.178 + predictinput: + type: object + required: + - time_series_data + properties: + time_series_data: + type: array + default: true + description: |+ + List of timeseries data in chronological manner + example: [112000.0, 118000.0, 132000.0, 129000.0, 121000.0, 135000.0, 148000.0, 148000.0, 136000.0, 119000.0] + items: + oneOf: + - type: number + example: 112000.0 + - type: number + example: 118000.0 + - type: number + example: 132000.0 + - type: number + example: 129000.0 + - type: number + example: 121000.0 + - type: number + example: 135000.0 + - type: number + example: 148000.0 + - type: number + example: 148000.0 + - type: number + example: 136000.0 + - type: number + example: 119000.0 + change_point_index: + type: array + description: |+ + The index number of the time_series_data where the change point is detected + example: [10, 50] + items: + oneOf: + - type: number + example: 10 + - type: number + example: 50 + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From c1e688b73fa132676337665afd0de11108e22a4b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 31 May 2022 16:00:25 +0530 Subject: [PATCH 4468/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index f01e0d39e..52753ba5f 100644 --- a/index.yaml +++ b/index.yaml @@ -488,6 +488,10 @@ analytics: title: Foretell Prediction versions: 0.1.0: 'foretell_prediction.yaml' + foretell_profiling: + title: Foretell Profiling + versions: + 0.1.0: 'foretell_profiling.yaml' data alliance: download_dataset_api: title: Download Dataset API From c2886321647f2832c247994f0bdd74569516e7fc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 31 May 2022 16:01:20 +0530 Subject: [PATCH 4469/5916] Update foretell_profiling.yaml --- analytics/foretell_profiling.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_profiling.yaml b/analytics/foretell_profiling.yaml index 0ae834552..408289582 100644 --- a/analytics/foretell_profiling.yaml +++ b/analytics/foretell_profiling.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Foretell Profiling description: |+ - Profiling API will take a time series data and process it to give response of its classification, change point, and predictability score. The period of each data point of the time series data input is to be determined by the client. + Foretell Profiling API will take a time series data and process it to give response of its classification, change point, and predictability score. The period of each data point of the time series data input is to be determined by the client. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. From 825ed6057b01499899cebf23cf91d1275ee8097d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 1 Jun 2022 11:39:51 +0530 Subject: [PATCH 4470/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 33 +++++++++++++++++++++++---------- 1 file changed, 23 insertions(+), 10 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 0f5fdd5c8..cde27dc05 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -4,7 +4,7 @@ info: description: |+ This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. - This api supports upto 15 secs audio file only. + This api supports upto 15 seconds audio file only. version: '0.1.0' x-apitype: small file x-apitypedescription: |+ @@ -23,9 +23,9 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 27, 2022" + description: "Published Date - Jun 01, 2022" paths: - /microservice/voice/asrenunified/v0/get_transcript: + /microservices/voice/asrenunified/v0/get_transcript: post: tags: - v0.1.0 @@ -37,8 +37,10 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Hi there - status: success + status: Success + message: Successfully Processed + results: + transcript: 'i want to apply for a credit farslidy to service my hish d v long ' '401': description: Unauthorized content: @@ -100,11 +102,23 @@ components: success: type: object properties: + results: + type: object + example: <> + properties: transcript: x-name: transcript type: string example: i want to apply for a credit faclity description: Converted Text + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -180,16 +194,15 @@ components: input: type: object required: - - wav_file_bytes + - file_path properties: - wav_file_bytes: + file_path: type: file format: binary default: true example: sample.wav description: |+ - Input file in base64 format and needs to be prefixed by the data type and encoding - data:audio/wav;base64, + Maximum Limit upto 15 seconds of audio wav file. versions: type: object properties: @@ -198,7 +211,7 @@ components: items: oneOf: - type: string - example: Published Date - May 27, 2022 + example: Published Date - Jun 01, 2022 x-details: Initial version release description: Latest Version securitySchemes: From f3f53950ad5faf8a3b65827a44390f4fb23b4613 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 1 Jun 2022 11:45:06 +0530 Subject: [PATCH 4471/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index cde27dc05..583b6f1fe 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -104,7 +104,8 @@ components: properties: results: type: object - example: <> + example: {} + description: Json Object of returned results properties: transcript: x-name: transcript From 51a28c63879208f7a403681ef32c449f75086996 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 2 Jun 2022 09:03:24 +0530 Subject: [PATCH 4472/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 1e9aa7718..888b6e43e 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -857,7 +857,7 @@ components: - postcode properties: postcode: - type: number + type: string default: true example: 569933 description: |+ From 3b9ae5a888610ebbae6276c4b3e41e2999509004 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 2 Jun 2022 16:01:46 +0530 Subject: [PATCH 4473/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 49 ++++---------------------------------- 1 file changed, 5 insertions(+), 44 deletions(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index eed72edb1..69bd8366f 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -18,7 +18,7 @@ info: x-notes: |+ File size cannot exceed 10 MB. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Apr 20, 2022" @@ -137,49 +137,10 @@ components: time_interval: 60000 first_prompt: true external_id: provide external id - properties: - page_url: - type: string - default: true - description: |+ - Page URL of getting suggestion - example: https://test.brivge.com/globalparts/create - time_interval: - type: number - default: true - description: |+ - Time interval of getting suggestion value will be greater than or equal to 60000 - example: 60000 - selection_mode: - type: string - description: |+ - Default value null. Selected mode of getting suggestion - example: Create/Modify Global parts on screen - upload: - type: number - description: |+ - Default value 0. Upload of getting suggestion value will be greater than 0 - example: 1 - add_item: - type: number - description: |+ - Default value 0. Add Item of getting suggestion value will be greater than 0 - example: 1 - edit_item: - type: number - description: |+ - Default value 0. Edit item of getting suggestion value will be greater than 0 - example: 1 - first_prompt: - type: boolean - description: |+ - Default value false.First prompt of getting suggestion value will be true/false - example: false - external_id: - type: string - description: |+ - External Identifier - example: TH-SUPPLIER-001 + selection_mode: Create/Modify Global parts on screen + upload: 1 + add_item: 1 + edit_item: 1 securitySchemes: APIAuthorizer: type: apiKey From 7bf060bf257f43e731228a16c2d5fea8e3b37533 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 3 Jun 2022 08:54:40 +0530 Subject: [PATCH 4474/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index a6a15e6a8..0bf31f605 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -245,19 +245,19 @@ components: example: sample.wav description: The file path that describes the location of the audio file to be converted to WAV file. Maximum file size up to 10 MB. samplerate: - type: integer + type: number format: int32 default: false example: '16000' description: Sample rate of the audio file in Hz channel: - type: integer + type: number format: int32 default: false example: '1' description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2 (Stereo) bitrate: - type: integer + type: number format: int32 default: false example: '2' @@ -268,13 +268,13 @@ components: example: no description: A value that indicates whether to normalize the audio or not. Values must be either “yes” or “no” trim_start_time: - type: integer + type: number format: int32 default: false example: 1 description: Indicates the start in seconds between which the audio is extracted trim_stop_time: - type: integer + type: number format: int32 default: false example: 5 From 6325678e5f447da3eff57e632b055bfe1130f862 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 3 Jun 2022 08:56:06 +0530 Subject: [PATCH 4475/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 79e297602..d619d0c98 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -110,7 +110,7 @@ components: type: object properties: key_length: - type: integer + type: number format: int32 example: 1024 description: byte value of generated key @@ -234,7 +234,7 @@ components: type: object properties: bitcode: - type: integer + type: number format: int32 example: 1 default: true From 54fb183bdac3498b7560b6fef07bb60264479d11 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 3 Jun 2022 08:57:40 +0530 Subject: [PATCH 4476/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index 3459d369d..a8b47e716 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -188,7 +188,7 @@ components: format: list example: 1915 Singapore Mutiny pageid: - type: integer + type: number format: int32 example: 27318 description: The id of the page requested @@ -203,7 +203,7 @@ components: description: URL and dimensions of thumbnail image associated with page, if any. properties: height: - type: integer + type: number format: int32 example: 333 description: Height of the thumbnail image @@ -212,7 +212,7 @@ components: example: https://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/500px-Flag_of_Singapore.svg.png description: Source URL of the thumbnail image width: - type: integer + type: number format: int32 example: 500 description: Width of the thumbnail image @@ -345,7 +345,7 @@ components: default: true description: The search term, highest match to the title of the Wikipedia page. Not Mandatory when pageid is given. pageid: - type: integer + type: number format: int32 default: false example: 27318 From ce8402138f20699cc50e9de22886a324b5ab25fe Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 3 Jun 2022 10:11:06 +0530 Subject: [PATCH 4477/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 1bd1a71b9..550ff6aee 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -32,7 +32,7 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured Japanese text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Mar 23, 2022" From 202f9690e730ea59804808c0f6429c7116e96dd2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 3 Jun 2022 10:13:14 +0530 Subject: [PATCH 4478/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 550ff6aee..1ff8656dd 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -35,7 +35,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Mar 23, 2022" + description: "Published Date - Jun 03, 2022" paths: /microservices/nlp/japanesener/v2/getpredictions: post: @@ -559,7 +559,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 23, 2022 + example: Published Date - Jun 03, 2022 x-details: Updated version release v1.0, entity positions returned description: Latest Version v1.0.0: From 056fb285bbc21836befa11411834181ed71bbd00 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 3 Jun 2022 12:20:50 +0530 Subject: [PATCH 4479/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index 0bf31f605..dfd6e49bf 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -42,7 +42,7 @@ paths: $ref: '#/components/schemas/success' example: results: - AudioContent: actual base64 string of input wav + audio_content: actual base64 string of input wav message: Successfully Processed status: Success '401': @@ -113,10 +113,15 @@ components: type: object properties: results: - type: string + type: object example: - AudioContent: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................. + audio_content: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................. description: Audio wav file convert to base64 encode string + properties: + audio_content: + type: string + example: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................. + description: Audio wav file convert to base64 encode string message: type: string example: Successfully Processed From e394e6397b6a570b00d37a1476962f291a0db6b4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 3 Jun 2022 12:32:42 +0530 Subject: [PATCH 4480/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index dfd6e49bf..9678f3f14 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -114,14 +114,13 @@ components: properties: results: type: object - example: - audio_content: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................. + example: "audio_content: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................." description: Audio wav file convert to base64 encode string properties: audio_content: - type: string - example: UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................. - description: Audio wav file convert to base64 encode string + type: string + example: "UklGRgaAoQBXQVZFZm10IBAAAAABAAIARKwAABCxAgAEABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHAf6EAAAAAAAAAAAAAAAAAAAAAAAAAAAAA................." + description: Audio wav file convert to base64 encode string message: type: string example: Successfully Processed From d33666eefe15413aef8f905f1be034233eef3642 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 3 Jun 2022 12:41:50 +0530 Subject: [PATCH 4481/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index d619d0c98..3eb88da45 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -42,6 +42,8 @@ paths: key_length: 1024 public_key: MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQK... private_key: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... + status: Success + message: Successfully Processed '401': description: Unauthorized content: @@ -122,6 +124,14 @@ components: type: string example: MIICdQIBADANBgkqhkiG9w0BAQEFAASCAl.... description: Used for decoding the text encoded with the corresponding public key. + status: + type: string + example: Success + description: Status of the API call + message: + type: string + example: Successfully Processed + description: Message of the API call unauthorized: type: object properties: From dc299b9d94e552e19ac026448901cc61c4fb8eca Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 3 Jun 2022 12:56:44 +0530 Subject: [PATCH 4482/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index 5045e420b..cbdc7878d 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -43,7 +43,7 @@ paths: $ref: '#/components/schemas/success' example: results: - fileContent: document text content + image_1: document text content message: Successfully Processed status: Success '401': @@ -121,9 +121,17 @@ components: properties: results: type: object - description: The result of the API call. - example: - fileContent: document text content + description: results with image text content + example: "image_1: document text content" + properties: + image_1: + type: string + description: Image text content + example: document text content + no.of images: + type: string + example: 31 + description: Total number of images in the list message: type: string example: Successfully Processed @@ -251,9 +259,7 @@ components: format: binary default: true example: sample.mp4 - description: The file path that describes the location of the file to be converted. - - Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. + description: The file path that describes the location of the file to be converted. Supported formats are - 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. securitySchemes: APIAuthorizer: type: apiKey From cda40ea2bf0d65fb5467772697f253cff60a9927 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 3 Jun 2022 14:43:54 +0530 Subject: [PATCH 4483/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index 1690bb53d..fa057a35c 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -30,7 +30,7 @@ info: query_list:[{"title":,"find_type":"find_all","tag":"a", "attribute":"href"}] Returns all links/text/html/images matches the class name: - query_list:[{"find_type":"find_all", "class":,"tag":"a", "attribute":"href"}],{"find_type":"find_all", "class":, "tag":"a"},{"find_type":"find_all", "class":, "tag":"a", "return_type":"html"},{"findType":"find_all", "class":, "tag":"img", "attribute":"src"}] + query_list:[{"find_type":"find_all", "class":,"tag":"a", "attribute":"href"}],{"find_type":"find_all", "class":, "tag":"a"},{"find_type":"find_all", "class":, "tag":"a", "return_type":"html"},{"find_type":"find_all", "class":, "tag":"img", "attribute":"src"}] Using select in find_type, either class/tag/id/nested_class_id is mandatory: query_list:[{"find_type":"select", "class_":, "tag":}] @@ -42,7 +42,7 @@ info: query_list:[{"find_type":"select", "nested_class_id":}] query_list:[{"find_type":"select", "nested_class_id":, "return_type":"html"}] query_list:[{"find_type":"select", "nested_class_id":, "attribute":"href"}] - Example using nested_class_id:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "query_list":[{"findType":"select", "nestedClassId":"p.strikeout"}] + Example using nested_class_id:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "query_list":[{"find_type":"select", "nestedClassId":"p.strikeout"}] To get h1 tags that match one or more class names    "query_list":[{"find_type":"select", "nested_class_id":"h1"}] To get all p tags that matches element id @@ -96,7 +96,7 @@ paths: data: |- BBC - HomeBBC HomepageSkip to contentAccessibility Helpsign-inBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaret-downsearchSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuWelcome to the BBCBBC HomepagePM warns virus deaths could be 'twice as bad' as springAttributionUKPrince William 'contracted Covid-19 in April'AttributionUKWhich Strictly celeb is the first to leave?AttributionBBC OneMore top storiesBale heads winner to send Spurs secondAttributionFootballWho's ahead in the polls - Trump or Biden?AttributionUS Election 2020Five alternatives to saving money with the bankAttributionBBC ScotlandCoronavirus pandemicnextSpain's funeral homes strike as virus cases riseAttributionEuropeHow many coronavirus cases are there in your area?AttributionUKPolice battle to break up 700-strong illegal raveAttributionEnglandNews headlinesnextScotland's new regional Covid restrictions go liveAttributionScotlandBiden and Trump criss-cross the US as vote nearsAttributionUS Election 2020Veteran journalist Robert Fisk dies aged 74AttributionMiddle EastSport headlinesnextPogba says he made 'stupid mistake'AttributionMan Utd'I don't know the direction Man Utd are going' - MOTD2 analysis. Video'I don't know the direction Man Utd are going' - MOTD2 analysisAttributionMan UtdplayMan City win FA Cup after extra timeAttributionWomen's FootballUS Election 2020nextUS election: Trump is in the fight of his political lifeAttributionUS Election 2020The Asians who want Trump to win re-electionAttributionAsiaThe 750,000 people you didn't know could voteAttributionUS Election 2020Around the UKnextScotland's new regional Covid restrictions go liveAttributionScotlandFollow rules plea ahead of post-lockdown exit planAttributionWalesEight more coronavirus-related deaths in NIAttributionNorthern IrelandThe BBC around the UKScotlandALBAWalesCymruNI3 things we love todayYour pictures on the theme of 'urban living'AttributionIn PicturesCan you guess the celebrity childhood photo?AttributionBBC BitesizeThis Celtic rainforest has the calm vibes we all need. VideoThis Celtic rainforest has the calm vibes we all needAttributionBBC TwoplayPlant powerPlant power, Should you swap that beef burger for a vegan version?Should you swap that beef burger for a vegan version?Watch what might happen if the entire world switched to a plant-based dietAttributionBBC IdeasEntertainment news'This is one of my films of the year'AttributionBBC Radio 5 LiveBill surprises fans with nimble feet (and an elephant)AttributionBBC OneSean Connery's greatest moments on screen - in picturesAttributionEntertainment & ArtsSocietyCouple trolled for intimate wedding photoshootAttributionIndia'I raise £2,000 a month to keep my daughter alive'AttributionEngland'Collaborative effort' needed to help gay players come outAttributionEnglandOur Planet NownextThe BBC’s ongoing focus on the environment and the challenges facing our planetYou've got cheap data, how about cheap power too?Publishedduration2 days agoAttributionScience & EnvironmentThe Repair Shop's Jay Blades: 'Make do and mend' for the planet. Video, 00:03:15The Repair Shop's Jay Blades: 'Make do and mend' for the planetPublishedduration2 days agoplay3:15'You could see avocados growing in Hackney' Video, 00:01:04'You could see avocados growing in Hackney'Publishedduration3 days agoAttributionLondonplay1:04Real-life storiesSteph McGovern on 'toning it down' for TV, Trump and pregnancy. AudioSteph McGovern on 'toning it down' for TV, Trump and pregnancyAttributionBBC Radio 4listen'Nobody would help me until Keanu Reeves turned up!' Video'Nobody would help me until Keanu Reeves turned up!'AttributionBBC OneplayDoctor duped into buying 'Aladdin's lamp' for $41,600AttributionIndiaYou might have missedA magical underwater moment captured on film. VideoA magical underwater moment captured on filmAttributionBBC TwoplayHouse prices climb to record high, says NationwideAttributionBusinessCornwall Poldark house fallen into 'complete disrepair'AttributionEnglandFoodnextPerfect pot-roasts with minimum effortAttributionBBC FoodA super-speedy version of a takeaway classicAttributionBBC FoodHealthy winter warmers to keep you full for longerAttributionBBC FoodLifestyleThree tips to help you through redundancy. VideoThree tips to help you through redundancyAttributionBBC IdeasplayGet your ramble on with Countryfile's top hiking tipsAttributionBBC Children in NeedAwesome autumn activities for younger kidsAttributionTiny Happy PeopleThis week in sportWilder questions Fury gloves in rematchAttributionBoxingTributes after ex-Hearts captain Zaliukas dies aged 36AttributionFootballVerstappen sorry for offensive language during Portuguese GPAttributionFormula 1Behind the headlinesCharlie Hebdo attack suspect tests positive for Covid-19AttributionEuropeBerlin's new €6bn airport opens... 10 years late. VideoBerlin's new €6bn airport opens... 10 years lateAttributionWorldplayNew York man plunges into rat-infested sinkholeAttributionUS & CanadaTime well spentSam Smith's track-by-track guide to their new album. AudioSam Smith's track-by-track guide to their new albumAttributionBBC Radio 1listenRap Game star shares his Black History Month picksAttributionBBC ThreeThese eerie stories might just keep you awake at nightAttributionBBC Radio 4Modern Slavery StatementRead moreThe BBC around the UKScotlandALBAWalesCymruNIOther servicesComplaintsUS Election 2020A really simple guide to the electionAttributionBBC NewsDisinformation: How to spot it. iPlayerDisinformation: How to spot itAttributionBBC iPlayeriplayerWho do you think will win?AttributionBBC NewsOdd happenings from past US electionsAttributionBBC BitesizeHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with usAdChoices / Do Not Sell My Info© 2020 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking. - dataList: + data_list: - imagelinks: - https://ichef.bbci.co.uk/images/ic/240x135/p08x3gpx.jpg - https://ichef.bbci.co.uk/curationkit-ichef/240x135/cpsprodpb/16FC3/production/_115174149_063942058.jpg @@ -188,14 +188,14 @@ components: description: The status of the API call - success/failure results: type: object - example: {"data": "text content of the webpage","dataList": [{ "title": "imagelinks", "find_type": "find_all", "tag": "img", "attribute": "src" }]} + example: {"data": "text content of the webpage","data_list": [{ "title": "imagelinks", "find_type": "find_all", "tag": "img", "attribute": "src" }]} description: Json Object of returned results properties: data: type: string example: "BBC - HomeBBC HomepageSkip to contentAccessibility Helpsign-inBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaret-downsearchSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuWelcome to the BBCBBC HomepagePM warns virus deaths could be 'twice as bad' as springAttributionUKPrince William 'contracted Covid-19 in April'AttributionUKWhich Strictly celeb is the first to leave?AttributionBBC OneMore top storiesBale heads winner to send Spurs secondAttributionFootballWho's ahead in the polls - Trump or Biden?AttributionUS Election 2020Five alternatives to saving money with the bankAttributionBBC ScotlandCoronavirus pandemicnextSpain's funeral homes strike as virus cases riseAttributionEuropeHow many coronavirus cases are there in your area?AttributionUKPolice battle to break up 700-strong illegal raveAttributionEnglandNews headlinesnextScotland's new regional Covid restrictions go liveAttributionScotlandBiden and Trump criss-cross the US as vote nearsAttributionUS Election 2020Veteran journalist Robert Fisk dies aged 74AttributionMiddle EastSport headlinesnextPogba says he made 'stupid mistake'AttributionMan Utd'I don't know the direction Man Utd are going' - MOTD2 analysis. Video'I don't know the direction Man Utd are going' - MOTD2 analysisAttributionMan UtdplayMan City win FA Cup after extra timeAttributionWomen's FootballUS Election 2020nextUS election: Trump is in the fight of his political lifeAttributionUS Election 2020The Asians who want Trump to win re-electionAttributionAsiaThe 750,000 people you didn't know could voteAttributionUS Election 2020Around the UKnextScotland's new regional Covid restrictions go liveAttributionScotlandFollow rules plea ahead of post-lockdown exit planAttributionWalesEight more coronavirus-related deaths in NIAttributionNorthern IrelandThe BBC around the UKScotlandALBAWalesCymruNI3 things we love todayYour pictures on the theme of 'urban living'AttributionIn PicturesCan you guess the celebrity childhood photo?AttributionBBC BitesizeThis Celtic rainforest has the calm vibes we all need. VideoThis Celtic rainforest has the calm vibes we all needAttributionBBC TwoplayPlant powerPlant power, Should you swap that beef burger for a vegan version?Should you swap that beef burger for a vegan version?Watch what might happen if the entire world switched to a plant-based dietAttributionBBC IdeasEntertainment news'This is one of my films of the year'AttributionBBC Radio 5 LiveBill surprises fans with nimble feet (and an elephant)AttributionBBC OneSean Connery's greatest moments on screen - in picturesAttributionEntertainment & ArtsSocietyCouple trolled for intimate wedding photoshootAttributionIndia'I raise £2,000 a month to keep my daughter alive'AttributionEngland'Collaborative effort' needed to help gay players come outAttributionEnglandOur Planet NownextThe BBC’s ongoing focus on the environment and the challenges facing our planetYou've got cheap data, how about cheap power too?Publishedduration2 days agoAttributionScience & EnvironmentThe Repair Shop's Jay Blades: 'Make do and mend' for the planet. Video, 00:03:15The Repair Shop's Jay Blades: 'Make do and mend' for the planetPublishedduration2 days agoplay3:15'You could see avocados growing in Hackney' Video, 00:01:04'You could see avocados growing in Hackney'Publishedduration3 days agoAttributionLondonplay1:04Real-life storiesSteph McGovern on 'toning it down' for TV, Trump and pregnancy. AudioSteph McGovern on 'toning it down' for TV, Trump and pregnancyAttributionBBC Radio 4listen'Nobody would help me until Keanu Reeves turned up!' Video'Nobody would help me until Keanu Reeves turned up!'AttributionBBC OneplayDoctor duped into buying 'Aladdin's lamp' for $41,600AttributionIndiaYou might have missedA magical underwater moment captured on film. VideoA magical underwater moment captured on filmAttributionBBC TwoplayHouse prices climb to record high, says NationwideAttributionBusinessCornwall Poldark house fallen into 'complete disrepair'AttributionEnglandFoodnextPerfect pot-roasts with minimum effortAttributionBBC FoodA super-speedy version of a takeaway classicAttributionBBC FoodHealthy winter warmers to keep you full for longerAttributionBBC FoodLifestyleThree tips to help you through redundancy. VideoThree tips to help you through redundancyAttributionBBC IdeasplayGet your ramble on with Countryfile's top hiking tipsAttributionBBC Children in NeedAwesome autumn activities for younger kidsAttributionTiny Happy PeopleThis week in sportWilder questions Fury gloves in rematchAttributionBoxingTributes after ex-Hearts captain Zaliukas dies aged 36AttributionFootballVerstappen sorry for offensive language during\nPortuguese GPAttributionFormula 1Behind the headlinesCharlie Hebdo attack suspect tests positive for Covid-19AttributionEuropeBerlin's new €6bn airport opens... 10 years late. VideoBerlin's new €6bn airport opens... 10 years lateAttributionWorldplayNew York man plunges into rat-infested sinkholeAttributionUS & CanadaTime well spentSam Smith's track-by-track guide to their new album. AudioSam Smith's track-by-track guide to their new albumAttributionBBC Radio 1listenRap Game star shares his Black History Month picksAttributionBBC ThreeThese eerie stories might just keep you awake at nightAttributionBBC Radio 4Modern Slavery StatementRead moreThe BBC around the UKScotlandALBAWalesCymruNIOther servicesComplaintsUS Election 2020A really simple guide to the electionAttributionBBC NewsDisinformation: How to spot it. iPlayerDisinformation: How to spot itAttributionBBC iPlayeriplayerWho do you think will win?AttributionBBC NewsOdd happenings from past US electionsAttributionBBC BitesizeHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with usAdChoices / Do Not Sell My Info© 2020 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking." description: Text content of the webpage. - dataList: + data_list: type: array example: [{"imagelinks": ["https://ichef.bbci.co.uk/images/ic/240x135/p08x3gpx.jpg","https://ichef.bbci.co.uk/curationkit-ichef/240x135/cpsprodpb/16FC3/production/_115174149_063942058.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x2qxp.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08x39pc.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08wsqty.jpg","https://ichef.bbci.co.uk/images/ic/240x135/p08vchc7.jpg"]}] description: Extracted results of query_list in a list format. From 9ad6b882a21402d8a42f2073e686904ff497e372 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 7 Jun 2022 10:26:25 +0530 Subject: [PATCH 4484/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 82b899175..6fb2afa2d 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -3,10 +3,10 @@ info: title: HDB Block Coordinates (SG) x-subscribelink: building_addresses_hdb_sg description: |+ - This Data microservice retrieves information on Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. The information is updated monthly. A successful call will return the results of the query in JSON format. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + This Data microservice retrieves information on Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. The information is updated monthly. A successful call will return the results of the query in JSON format. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). x-additionalinfo : |+ Suggested Use Cases: From 6d1448783d1bfa5b84b87dbc8683f932b38fed64 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 7 Jun 2022 10:34:13 +0530 Subject: [PATCH 4485/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 583b6f1fe..cd08eb11f 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -20,7 +20,7 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 01, 2022" From 6e49703be983eba898b729d27527eb606dc18816 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 7 Jun 2022 14:58:16 +0800 Subject: [PATCH 4486/5916] changed input parameter in image text similarity yaml --- computer_vision/image_text_similarity.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/image_text_similarity.yaml b/computer_vision/image_text_similarity.yaml index 1c63e5c62..6237a1cca 100644 --- a/computer_vision/image_text_similarity.yaml +++ b/computer_vision/image_text_similarity.yaml @@ -248,7 +248,7 @@ components: default: True example: ["a classroom","a building","a table"] description: |+ - A list of texts or classes to be compared with the input image to check similarity. + A list of texts or classes to be compared with the input image to check similarity.The length of list should be greater than 1 securitySchemes: From 967fa50065976d0d90710dfa3ab9281ee58e7ba7 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 7 Jun 2022 15:14:31 +0800 Subject: [PATCH 4487/5916] changed description in image text similarity yaml --- computer_vision/image_text_similarity.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/image_text_similarity.yaml b/computer_vision/image_text_similarity.yaml index 6237a1cca..5cd261279 100644 --- a/computer_vision/image_text_similarity.yaml +++ b/computer_vision/image_text_similarity.yaml @@ -4,7 +4,7 @@ info: title: Image-Text Similarity description: |+ This microservice is used to predict the similarity between an input image and list of text snippets and return a score corresponding to the most relevant text that matches the image. - The underlying model is built using a neural network called CLIP (Contrastive Language-Image Pre-Training) that is trained on a variety of (image, text) pairs. + The underlying model is built using a neural network called CLIP (Contrastive Language-Image Pre-Training) that is trained on a variety of (image, text) pairs. The image file size cannot exceed 5MB. version: v0.1.0 x-subscribelink: image_text_similarity x-apitype: small file From d46e82d929084b274a331dca623b7223c2dfd872 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 7 Jun 2022 17:15:30 +0530 Subject: [PATCH 4488/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 16a93ca8a..fe2221693 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -452,7 +452,7 @@ paths: schema: $ref: '#/components/schemas/rebulkuploaditeminput' required: true - /microservices/analytics/recommendationengine/v0/getselected: + /microservices/analytics/recommendationengine/v0/setselected: description: |+ This API is used to update the selected option post: @@ -960,6 +960,12 @@ components: default: true description: |+ The id for items that correspond to the indicator name. May be a product-id, category-id, a tag-id, search term, location, anything that the event represents. + external_id: + type: string + example: User 10 + default: true + description: |+ + This is whatever string you use to identify a unique id. item_bias: type: number example: -1 @@ -1031,6 +1037,12 @@ components: default: true description: |+ This is whatever string you use to identify a user. + external_id: + type: string + example: User 10 + default: true + description: |+ + This is whatever string you use to identify a unique id. user_bias: type: string example: -1 From 27196dfbeacbfb19a9ef755627f08833bca81c1c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 8 Jun 2022 11:50:00 +0530 Subject: [PATCH 4489/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index cd08eb11f..583b6f1fe 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -20,7 +20,7 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 01, 2022" From 9f13e890a5dcd491cae42a054d4178cb157bf961 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 8 Jun 2022 15:01:41 +0530 Subject: [PATCH 4490/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 57 ++++++++++++++++++---------- 1 file changed, 37 insertions(+), 20 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index fe2221693..fc27824d0 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -506,6 +506,23 @@ paths: example: message: Successfully Processed status: Success + results: + - engine_name: ttap-om-page + id: 23ff3baa-cc41-11ec-b15a-daa7b5082d7b + re_id: 245a06b6-cc41-11ec-b15a-daa7b5082d7b + external_id: fandy + entity_details: Create Shipping Route + entity_type: pagename + input: '{"engineId": "ttap-om-page", "user": "fandy"}' + re_type: ML + options: '14' + org_name: TTAP + user_name: ttap_admin + created_date_time: '2022-05-05T15:01:09' + updated_date_time: null + cus1_name: null + cus2_name: null + cus2_val: null '419': description: Input Field Missing @@ -570,6 +587,10 @@ components: items: type: object properties: + engine_name: + type: string + description: Unique id for the list + example: ttap-om-page ID: type: string description: Unique id for the list @@ -606,38 +627,34 @@ components: type: string description: created date time example: 2022-04-07T18:23:17 - owner_id: - type: string - description: Owner id - example: 1 - owner_name: - type: string - description: Owner name - example: ownername - org_id: - type: string - description: org id - example: org id org_name: type: string description: org name example: org name - user_id: - type: string - description: user id - example: 12 user_name: type: string description: user name example: username - api_key: - type: string - description: Api key - example: A2FAAE0499E7... updated_date_time: type: string description: updated date time example: null + cus1_name: + type: string + description: custom variable name + example: null + cus1_val: + type: string + description: custom variable value + example: null + cus2_name: + type: string + description: custom variable name + example: null + cus2_val: + type: string + description: custom variable value + example: null readdeventsuccess: type: object properties: From d60237156c36926d723c3ee3c1b4d508c0a6f179 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 8 Jun 2022 16:24:51 +0530 Subject: [PATCH 4491/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 583b6f1fe..800f64b02 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -7,6 +7,7 @@ info: This api supports upto 15 seconds audio file only. version: '0.1.0' x-apitype: small file + x-subscribelink: asr_en_unified x-apitypedescription: |+ Fast | Single-Call | 15 sec/Call x-inputfilelimit: |+ From deb364325c2bea9427b128e1e0c6fc75794a89e5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 8 Jun 2022 16:27:00 +0530 Subject: [PATCH 4492/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 800f64b02..d566ecdb5 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 01, 2022" From a84c9a030e9713f8f901f796af4bac171c38f5de Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 8 Jun 2022 16:44:49 +0530 Subject: [PATCH 4493/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index d566ecdb5..60335f550 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -72,12 +72,18 @@ paths: application/json: schema: $ref: '#/components/schemas/inputfieldmissing' - '420': - description: Input Limit Exceeded + '413': + description: Payload Too Large content: application/json: schema: $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '500': description: Internal Server Error content: From b9c0f9d241e87d4d2e838c4b335442e11126e038 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 8 Jun 2022 16:52:23 +0530 Subject: [PATCH 4494/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 60335f550..c55834dcd 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -199,6 +199,15 @@ components: status: type: string example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure input: type: object required: From 97593e9a9d55d85621abfa36729f460f3691f077 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 10:31:18 +0800 Subject: [PATCH 4495/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 6d0ce2548..5c96406a0 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -128,11 +128,11 @@ components: status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure message: type: string example: Successfully Processed - description: Status Message + description: Description of the API status unauthorized: type: object properties: From fa036350db40081dc98500f620fd4adfe9541286 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 10:55:05 +0530 Subject: [PATCH 4496/5916] Update speaker_diarization.yaml --- voice/speaker_diarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization.yaml b/voice/speaker_diarization.yaml index cdc068fab..c371cfc80 100644 --- a/voice/speaker_diarization.yaml +++ b/voice/speaker_diarization.yaml @@ -5,7 +5,7 @@ info: description: |+ This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". - + The length of your audio **should not exceed 60 seconds**. version: v0.1.0 x-subscribelink: speaker_diarization x-apitypedescription: |+ From e6f14c3771b371bd2998b0825e187b112a714e6a Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 14:05:13 +0800 Subject: [PATCH 4497/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 8666f270b..c406e45b5 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -130,11 +130,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object From fa189e4fec58e1146e3403e9fad4dde27554a617 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 11:39:01 +0530 Subject: [PATCH 4498/5916] Create speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 552 ++++++++++++++++++++++ 1 file changed, 552 insertions(+) create mode 100644 voice/speaker_diarization_large_file.yaml diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml new file mode 100644 index 000000000..b35616a03 --- /dev/null +++ b/voice/speaker_diarization_large_file.yaml @@ -0,0 +1,552 @@ +openapi: 3.0.1 +info: + title: Speaker Diarization (Large File) + description: |+ + This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. + Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". + + version: '0.1.0' + + x-subscribelink: speaker_diarization + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jun 09, 2022" +paths: + /async/microservices/voice/nsd/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: 309/495/lp-nsd/input/4test_2ef0f17c9bbf455586e85741d38ef521.wav + policy: 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + x-goog-date: 20220224T062321Z + x-goog-meta-additional_param: "{\"exact_speaker_count\": 2, \"max_speaker_count\": 2}" + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 + x-goog-meta-uuid: 5292a71b45184424826c9089c103fb78 + x-goog-signature: 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 + jid: 5292a71b45184424826c9089c103fb78 + request_cost: 1.2675 + url: https://storage.googleapis.com/user_space_dev/ + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/asrsch/v0/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 06, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: '4 test.wav' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'audio/wav' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + audio - ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] + video - ["video/x-m4v", "video/mp4", "video/mpeg", "video/x-msvideo", + "video/ogg", "video/mp2t", "video/webm", "video/3gpp", "video/3gpp2", + "video/x-ms-wmv","video/x-ms-asf", "video/x-ms-wm","video/x-flv", + "application/x-mpegURL", "video/quicktime","application/x-mpegurl", + "application/vnd.apple.mpegurl" ] + additional_param: + x-name: additional_param + type: object + properties: + inverse_text_normalization: + type: boolean + default: false + example: false + description: + Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values - True and False. Default value - False. + punctuation_prediction: + type: boolean + default: false + example: false + description: + Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. + word_level: + type: boolean + default: false + example: false + description: + Specifies whether to return the information about words. Default value false. + uploadinput: + type: object + required: + - filePath + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: audio/wav + description: Fields + key: + type: string + default: false + example: 309/495/lp-nsd/input/4test_5292a71b45184424826c9089c103fb78.wav + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: "{\"exact_speaker_count\": 2, \"max_speaker_count\": 2}" + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 309 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 495 + description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + status: + type: string + example: Success + description: The status of the API call success/failure + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 1ec4b033dc4d2a6982ed0bab1accabfb7085d46e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 11:40:06 +0530 Subject: [PATCH 4499/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index 52753ba5f..f1aef48e5 100644 --- a/index.yaml +++ b/index.yaml @@ -88,6 +88,10 @@ voice: title: Speaker Diarization versions: 0.1.0: 'speaker_diarization.yaml' + speaker_diarization_large_file: + title: speaker_diarization (Large File) + versions: + 0.1.0: 'speaker_diarization_large_file.yaml' automatic_speech_recognition_chi_large_file: title: Automatic Speech Recognition CHI (Large File) versions: From 30e5a8726a4a3e02244e58b4bb2a5209c0232f2b Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 14:12:45 +0800 Subject: [PATCH 4500/5916] Update text_to_speech_chi.yaml --- voice/text_to_speech_chi.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text_to_speech_chi.yaml b/voice/text_to_speech_chi.yaml index c32fdea05..d8a657be0 100644 --- a/voice/text_to_speech_chi.yaml +++ b/voice/text_to_speech_chi.yaml @@ -118,11 +118,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the api status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure audioContent: type: string format: byte From d0914cb1a0f9a03b4ec09f09aef714e8da24a9bd Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 14:15:59 +0800 Subject: [PATCH 4501/5916] Update text_to_speech_jp.yaml --- voice/text_to_speech_jp.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index 4b53bf275..02cfa1811 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -132,11 +132,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object From 30e4aece2d68ac72c5f13ddb02ad5a0f03723ec1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 11:46:06 +0530 Subject: [PATCH 4502/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index f1aef48e5..c474b8a4f 100644 --- a/index.yaml +++ b/index.yaml @@ -89,7 +89,7 @@ voice: versions: 0.1.0: 'speaker_diarization.yaml' speaker_diarization_large_file: - title: speaker_diarization (Large File) + title: Speaker Diarization (Large File) versions: 0.1.0: 'speaker_diarization_large_file.yaml' automatic_speech_recognition_chi_large_file: From 3fd979aeb871f8eabba9338e1e7da2b83bed78f4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 11:51:13 +0530 Subject: [PATCH 4503/5916] Update speaker_diarization.yaml --- voice/speaker_diarization.yaml | 438 +++++++++++++++++++++++++++------ 1 file changed, 361 insertions(+), 77 deletions(-) diff --git a/voice/speaker_diarization.yaml b/voice/speaker_diarization.yaml index c371cfc80..6e23545e9 100644 --- a/voice/speaker_diarization.yaml +++ b/voice/speaker_diarization.yaml @@ -1,49 +1,64 @@ - openapi: 3.0.1 info: - title: Speaker Diarization + title: Speaker Diarization (Large File) description: |+ - This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. + This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". - The length of your audio **should not exceed 60 seconds**. - version: v0.1.0 + + version: '0.1.0' + x-subscribelink: speaker_diarization + x-apitype: large file x-apitypedescription: |+ - Fast | Single-Call | 60sec/Call + Asyncronous | Batch | 1GB/File. x-inputfilelimit: |+ - Process up to 60 seconds (1 minute) of audio file. + Process up to 1 GB of File Size. x-responsetime: |+ - Response rate is fast due to small data transfer per call made. + The response rate is slower than the small file API due to large data. x-billingmethod: |+ - The API is billed by per request. + The API is billed by the amount of data transferred. x-notes: |+ - Limit cannot exceed 60 seconds (1 minute). + Size cannot exceed 1 GB. x-apidetailsdesc: |+ - Partitions homogenous segments based on speaker identity "who spoke when". + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Oct 09, 2021" + description: "Published Date - Jun 09, 2022" paths: - /microservices/voice/nsd/v0/getpredictions: + /async/microservices/voice/nsd/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. post: tags: - v0.1.0 responses: '200': - description: success response + description: Ok content: application/json: schema: $ref: '#/components/schemas/success' example: - results: - label: speaker_0 - start: 0.4 - stop: 2.62 - message: Successfully Processed + results: + fields: + content-type: audio/wav + key: 309/495/lp-nsd/input/4test_2ef0f17c9bbf455586e85741d38ef521.wav + policy: 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + x-goog-date: 20220224T062321Z + x-goog-meta-additional_param: "{\"exact_speaker_count\": 2, \"max_speaker_count\": 2}" + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 + x-goog-meta-uuid: 5292a71b45184424826c9089c103fb78 + x-goog-signature: 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 + jid: 5292a71b45184424826c9089c103fb78 + request_cost: 1.2675 + url: https://storage.googleapis.com/user_space_dev/ status: Success '401': description: Unauthorized @@ -86,9 +101,9 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/invalidinput' + $ref: '#/components/schemas/invalidinput' '500': - description: Internal Server error + description: Internal Server Error content: application/json: schema: @@ -107,40 +122,205 @@ paths: schema: $ref: '#/components/schemas/input' required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/asrsch/v0/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] components: schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status success: type: object properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status results: type: object - description: The result of the API call. example: { "" } - properties: - label: - description: Identified speaker - example: speaker_0 + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: type: string - start: - description: Start time in seconds - example: 0.4 - type: number - format: float - stop: - description: Stop time in seconds - example: 2.62 - type: number - format: float - - message: - type: string - example: Successfully Processed - description: Description of the API status + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm status: type: string example: Success - description: The status of the API call - success/failure - + description: The status of the API call success/failure unauthorized: type: object properties: @@ -177,12 +357,21 @@ components: status: type: string example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure servererror: type: object properties: message: type: string - example: Internal Server error + example: Internal Server Error status: type: string example: Failure @@ -212,51 +401,146 @@ components: example: Input Limit Exceeded status: type: string - example: Failure + example: Failure versions: type: object properties: v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Oct 09, 2021 - x-details: Initial version release - description: Latest Version + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 06, 2022 + x-details: Initial version release + description: Latest Version input: type: object required: - - - wav_base64 - + - file_name properties: - wav_base64: - x-name: wav_base64 + file_name: + x-name: file_name type: string - format: byte - default: True - example: UklGRkbiBABXQVZFZm10IBAAAAABA... + default: true + format: binary + example: '4 test.wav' description: |+ - Base64 string of the input audio - exact_speaker_count: - x-name: exact_speaker_count + Name of file to be upload. + file_size: + x-name: file_size type: integer - format: int32 - default: False - example: 2 + default: true + example: 4746636 description: |+ - Number of speakers in the audio, known in advance by the user. - max_speaker_count: - x-name: max_speaker_count - type: integer - format: int32 - default: False - example: 2 + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'audio/wav' description: |+ - Maximum number of speakers in the audio. Default value is 20 - - + Specify the content-type. Pick any one from below list based on input file type. + audio - ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] + video - ["video/x-m4v", "video/mp4", "video/mpeg", "video/x-msvideo", + "video/ogg", "video/mp2t", "video/webm", "video/3gpp", "video/3gpp2", + "video/x-ms-wmv","video/x-ms-asf", "video/x-ms-wm","video/x-flv", + "application/x-mpegURL", "video/quicktime","application/x-mpegurl", + "application/vnd.apple.mpegurl" ] + additional_param: + x-name: additional_param + type: object + properties: + exact_speaker_count: + x-name: exact_speaker_count + type: integer + format: int32 + default: False + example: 2 + description: |+ + Number of speakers in the audio, known in advance by the user. + max_speaker_count: + x-name: max_speaker_count + type: integer + format: int32 + default: False + example: 2 + description: |+ + Maximum number of speakers in the audio. Default value is 20 + uploadinput: + type: object + required: + - filePath + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: audio/wav + description: Fields + key: + type: string + default: false + example: 309/495/lp-nsd/input/4test_5292a71b45184424826c9089c103fb78.wav + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: "{\"exact_speaker_count\": 2, \"max_speaker_count\": 2}" + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 309 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 495 + description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + status: + type: string + example: Success + description: The status of the API call success/failure securitySchemes: APIAuthorizer: type: apiKey From 348ca2a24bf3be9c91708ca12c08d21dac60004f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 11:52:28 +0530 Subject: [PATCH 4504/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 36 +++++++++++------------ 1 file changed, 17 insertions(+), 19 deletions(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index b35616a03..948544450 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -449,25 +449,23 @@ components: additional_param: x-name: additional_param type: object - properties: - inverse_text_normalization: - type: boolean - default: false - example: false - description: - Specifies whether to enable inverse text normalization (ITN) during post-processing. Valid values - True and False. Default value - False. - punctuation_prediction: - type: boolean - default: false - example: false - description: - Specifies whether to add punctuation marks during post-processing. Valid values - True and False. Default value - False. - word_level: - type: boolean - default: false - example: false - description: - Specifies whether to return the information about words. Default value false. + properties: + exact_speaker_count: + x-name: exact_speaker_count + type: integer + format: int32 + default: False + example: 2 + description: |+ + Number of speakers in the audio, known in advance by the user. + max_speaker_count: + x-name: max_speaker_count + type: integer + format: int32 + default: False + example: 2 + description: |+ + Maximum number of speakers in the audio. Default value is 20 uploadinput: type: object required: From ef9177c886dad95f716fe5e5cf2bcb1d682b03be Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 11:53:12 +0530 Subject: [PATCH 4505/5916] Update speaker_diarization.yaml --- voice/speaker_diarization.yaml | 436 ++++++--------------------------- 1 file changed, 75 insertions(+), 361 deletions(-) diff --git a/voice/speaker_diarization.yaml b/voice/speaker_diarization.yaml index 6e23545e9..64c6c8d5e 100644 --- a/voice/speaker_diarization.yaml +++ b/voice/speaker_diarization.yaml @@ -1,64 +1,49 @@ + openapi: 3.0.1 info: - title: Speaker Diarization (Large File) + title: Speaker Diarization description: |+ - This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. + This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". - - version: '0.1.0' - + The length of your audio **should not exceed 60 seconds**. + version: v0.1.0 x-subscribelink: speaker_diarization - x-apitype: large file x-apitypedescription: |+ - Asyncronous | Batch | 1GB/File. + Fast | Single-Call | 60sec/Call x-inputfilelimit: |+ - Process up to 1 GB of File Size. + Process up to 60 seconds (1 minute) of audio file. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + Response rate is fast due to small data transfer per call made. x-billingmethod: |+ - The API is billed by the amount of data transferred. + The API is billed by per request. x-notes: |+ - Size cannot exceed 1 GB. + Limit cannot exceed 60 seconds (1 minute). x-apidetailsdesc: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. + Partitions homogenous segments based on speaker identity "who spoke when". servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 09, 2022" + description: "Published Date - Oct 09, 2021" paths: - /async/microservices/voice/nsd/v0/getuploadurl: - description: |+ - Get the pre-signed url to upload the file. + /microservices/voice/nsd/v0/getpredictions: post: tags: - v0.1.0 responses: '200': - description: Ok + description: success response content: application/json: schema: $ref: '#/components/schemas/success' example: + results: + label: speaker_0 + start: 0.4 + stop: 2.62 + message: Successfully Processed - results: - fields: - content-type: audio/wav - key: 309/495/lp-nsd/input/4test_2ef0f17c9bbf455586e85741d38ef521.wav - policy: 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - x-goog-date: 20220224T062321Z - x-goog-meta-additional_param: "{\"exact_speaker_count\": 2, \"max_speaker_count\": 2}" - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 - x-goog-meta-uuid: 5292a71b45184424826c9089c103fb78 - x-goog-signature: 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 - jid: 5292a71b45184424826c9089c103fb78 - request_cost: 1.2675 - url: https://storage.googleapis.com/user_space_dev/ status: Success '401': description: Unauthorized @@ -101,9 +86,9 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/invalidinput' + $ref: '#/components/schemas/invalidinput' '500': - description: Internal Server Error + description: Internal Server error content: application/json: schema: @@ -122,205 +107,40 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /upload: - description: |+ - Upload your file to start processing. - post: - servers: - - url: 'https://storage.googleapis.com/user_space_dev/' - description: Override base path for the GET /ping operation - tags: - - v0.1.0 - requestBody: - content: - multipart/form-data: - schema: - $ref: '#/components/schemas/uploadinput' - required: true - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - /async/microservices/voice/asrsch/v0/getstatus: - description: |+ - Query for processing status. - get: - tags: - - v0.1.0 - parameters: - - in: query - name: jid - schema: - type: string - example: 36d075917dcd481e9daf858a2549f3b1 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/getsuccess' - example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 - status: Processing - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] components: schemas: - getsuccess: - type: object - properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated - message: - type: string - example: File Processing Successfully Started - description: Detail description on the API status - request_cost: - type: string - example: 0.086 - description: Detail description on the API status - status: - type: string - example: Processing - description: Detail description on the API status success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object + description: The result of the API call. example: { "" } - description: Json Object of returned results - properties: - fields: - type: object - example: { "" } - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm - jid: + properties: + label: + description: Identified speaker + example: speaker_0 type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm + start: + description: Start time in seconds + example: 0.4 + type: number + format: float + stop: + description: Stop time in seconds + example: 2.62 + type: number + format: float + + message: + type: string + example: Successfully Processed + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure + unauthorized: type: object properties: @@ -357,21 +177,12 @@ components: status: type: string example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid input - Error in URL. - status: - type: string - example: Failure servererror: type: object properties: message: type: string - example: Internal Server Error + example: Internal Server error status: type: string example: Failure @@ -401,146 +212,49 @@ components: example: Input Limit Exceeded status: type: string - example: Failure + example: Failure versions: type: object properties: v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 06, 2022 - x-details: Initial version release - description: Latest Version + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 09, 2021 + x-details: Initial version release + description: Latest Version input: type: object required: - - file_name + + - wav_base64 + properties: - file_name: - x-name: file_name + wav_base64: + x-name: wav_base64 type: string - default: true - format: binary - example: '4 test.wav' + format: byte + default: True + example: UklGRkbiBABXQVZFZm10IBAAAAABA... description: |+ - Name of file to be upload. - file_size: - x-name: file_size + Base64 string of the input audio + exact_speaker_count: + x-name: exact_speaker_count type: integer - default: true - example: 4746636 + format: int32 + default: False + example: 2 description: |+ - Size of the file. Maximum size should be 1 GB. - content_type: - x-name: content_type - type: string - default: true - example: 'audio/wav' + Number of speakers in the audio, known in advance by the user. + max_speaker_count: + x-name: max_speaker_count + type: integer + format: int32 + default: False + example: 2 description: |+ - Specify the content-type. Pick any one from below list based on input file type. - audio - ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", "audio/webm","audio/3gpp","audio/3gpp2"] - video - ["video/x-m4v", "video/mp4", "video/mpeg", "video/x-msvideo", - "video/ogg", "video/mp2t", "video/webm", "video/3gpp", "video/3gpp2", - "video/x-ms-wmv","video/x-ms-asf", "video/x-ms-wm","video/x-flv", - "application/x-mpegURL", "video/quicktime","application/x-mpegurl", - "application/vnd.apple.mpegurl" ] - additional_param: - x-name: additional_param - type: object - properties: - exact_speaker_count: - x-name: exact_speaker_count - type: integer - format: int32 - default: False - example: 2 - description: |+ - Number of speakers in the audio, known in advance by the user. - max_speaker_count: - x-name: max_speaker_count - type: integer - format: int32 - default: False - example: 2 - description: |+ - Maximum number of speakers in the audio. Default value is 20 - uploadinput: - type: object - required: - - filePath - properties: - file: - type: string - format: binary - default: true - example: sample.wav - description: file - content-type: - type: string - default: false - example: audio/wav - description: Fields - key: - type: string - default: false - example: 309/495/lp-nsd/input/4test_5292a71b45184424826c9089c103fb78.wav - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - description: Fields - x-goog-date: - type: string - default: false - example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"exact_speaker_count\": 2, \"max_speaker_count\": 2}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 309 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 495 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 7970619677c2a0dc26af460a7d62f883528af9e1e8a1459aa09671ee0fbf15f7a611b7bd8c382fd8d39f74fe212a7e3db1768535f0c1ccff062239627ebe49195cc2c42c2238eb5e268ecaca49e647eb244eb023f3d4ba97922fd1228aab677a7176b9f84fef1c909897ccf0e1e8f9e3d030dbfc9892c7c026060dcf20b4ad4598f346de478b0f8495d9bce292b83a5b3bfa13c7dc08a2ce162f652c3bce91191167eeee3019b6b196e4271f5e3a6a1fe067f70acdaa082e6091c2f3ac8182bca8be41afc90600fc32dcdb3072acb43aaf90910a38c4aec9e3a42fdd21deb5ce936d8269e9ed011377ef058cac20d336218a35858753bd99b4ffdb1db171f0f4 - description: Fields - status: - type: string - example: Success - description: The status of the API call success/failure + Maximum number of speakers in the audio. Default value is 20 securitySchemes: APIAuthorizer: type: apiKey From e9c4d07440225e053d97b9dbe8a3716d8fef7ec2 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 14:54:21 +0800 Subject: [PATCH 4506/5916] Update voice_activity_detection_eng.yaml --- voice/voice_activity_detection_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/voice_activity_detection_eng.yaml b/voice/voice_activity_detection_eng.yaml index 664d5de35..b569b1645 100644 --- a/voice/voice_activity_detection_eng.yaml +++ b/voice/voice_activity_detection_eng.yaml @@ -147,11 +147,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object properties: From 5484b43a95d592cd11470f8eb2857b3de6b90ddc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 12:33:46 +0530 Subject: [PATCH 4507/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index 948544450..48bd81100 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Speaker Diarization (Large File) description: |+ - This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. + This Voice microservice takes in an audio/video stream and partitions it into homogenous segments according to the speaker's identity. Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". version: '0.1.0' From 6c5e0825e3009cf74401ece3dff730e644702c3f Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 15:10:51 +0800 Subject: [PATCH 4508/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 3ccb300ea..54798e073 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -131,7 +131,7 @@ components: status: type: string example: Success - description: The status of the API call -- success/failure. + description: The status of the API call - success/failure. unauthorized: type: object properties: From ec04881f655b3439d0a25f48d254b65a4753dcf0 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 13:32:05 +0530 Subject: [PATCH 4509/5916] :unicorn: add text generation API docs --- index.yaml | 4 + nlp/text_generation_gptj6b.yaml | 235 ++++++++++++++++++++++++++++++++ 2 files changed, 239 insertions(+) create mode 100644 nlp/text_generation_gptj6b.yaml diff --git a/index.yaml b/index.yaml index c474b8a4f..21e49e308 100644 --- a/index.yaml +++ b/index.yaml @@ -190,6 +190,10 @@ nlp: title: Google Translate (Large File) versions: 0.1.0: 'google_translate_large_file.yaml' + gptj6b: + title: Text Generation using GPT-J 6B + versions: + 0.1.0: 'text_generation_gptj6b.yaml' machine_translation: title: Machine Translation versions: diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml new file mode 100644 index 000000000..bc92fbe41 --- /dev/null +++ b/nlp/text_generation_gptj6b.yaml @@ -0,0 +1,235 @@ +openapi: 3.0.1 +info: + title: Text Generation using GPT-J 6B + description: |+ + GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. + + version: v0.1.0 + x-subscribelink: gptj6b +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - June 06, 2022" +paths: + /microservices/nlp/gptj/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + generated: "My name is Teven and I am not your average blogger. I\u2019ve been blogging\ + \ for about two years now and though I\u2019ve grown out of my toddler years now,\ + \ I still keep it real on my blog and give my take" + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + generated: + description: TO FILL MANUALLY + example: "My name is Teven and I am not your average blogger. I\u2019ve been blogging\ + \ for about two years now and though I\u2019ve grown out of my toddler years now,\ + \ I still keep it real on my blog and give my take" + type: string + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - June 06, 2022 + description: TO FILL MANUALLY + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: My name is Teven and I am + description: |+ + The input text prompt to be passed for models to generate output. It can generate code, fill in arbitrary sentences etc.. + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 38536b02c2ee4312eabca88172c8527e7b0f751f Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 13:36:05 +0530 Subject: [PATCH 4510/5916] fix issues in index.yaml --- index.yaml | 2 +- nlp/text_generation_gptj6b.yaml | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index 21e49e308..34e1a329c 100644 --- a/index.yaml +++ b/index.yaml @@ -190,7 +190,7 @@ nlp: title: Google Translate (Large File) versions: 0.1.0: 'google_translate_large_file.yaml' - gptj6b: + text_generation_gptj6b: title: Text Generation using GPT-J 6B versions: 0.1.0: 'text_generation_gptj6b.yaml' diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index bc92fbe41..d2ed51578 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -5,9 +5,9 @@ info: GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. version: v0.1.0 - x-subscribelink: gptj6b + x-subscribelink: text_generation_gptj6b servers: - - url: 'https://api.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - June 06, 2022" From a94dd2f7a03e9cb16058f65965b425a66d63720e Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 16:14:31 +0800 Subject: [PATCH 4511/5916] Update script_alignment.yaml --- nlp/script_alignment.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index f937b890c..04f492909 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -6,7 +6,7 @@ info: The output is a time-coded high-quality script. - Do ensure that your text is within **5000 characters**. + The input text **should not exceed 5000 characters**. version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: From de37c1be826a532fec84448677f2e62c7078b902 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 13:48:44 +0530 Subject: [PATCH 4512/5916] Update speaker_diarization.yaml --- voice/speaker_diarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization.yaml b/voice/speaker_diarization.yaml index 64c6c8d5e..f9f03c92b 100644 --- a/voice/speaker_diarization.yaml +++ b/voice/speaker_diarization.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Partitions homogenous segments based on speaker identity "who spoke when". servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 09, 2021" From c14ab826c8c9cf28e0fe4601a7fe0f7a92bcb0a5 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 16:29:27 +0800 Subject: [PATCH 4513/5916] Update sentiment_analysis_and_sarcasm_detection.yaml --- nlp/sentiment_analysis_and_sarcasm_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/sentiment_analysis_and_sarcasm_detection.yaml b/nlp/sentiment_analysis_and_sarcasm_detection.yaml index 9ba17f45b..34da0107f 100644 --- a/nlp/sentiment_analysis_and_sarcasm_detection.yaml +++ b/nlp/sentiment_analysis_and_sarcasm_detection.yaml @@ -5,7 +5,7 @@ info: description: |+ This NLP microservice accepts text and returns a response containing the overall sarcasm of the input text as well as the overall sentiment and confidence score for each sentiment label (positive, negative, and neutral). There are no limitations to the number of characters that you can input. However, for the best results, please input short text such as tweets, comments, news, and headlines. - Do ensure that your text is within **5000 characters**. + The input text **should not exceed 5000 characters**. version: '0.1.1' x-apitype: small file x-apitypedescription: |+ From ff9da2c14a200c010114c142702fcc422b67e69b Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 16:35:12 +0800 Subject: [PATCH 4514/5916] Update word_sense_disambiguation_eng.yaml --- nlp/word_sense_disambiguation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/word_sense_disambiguation_eng.yaml b/nlp/word_sense_disambiguation_eng.yaml index 1b2a7e08a..a2b0703d2 100644 --- a/nlp/word_sense_disambiguation_eng.yaml +++ b/nlp/word_sense_disambiguation_eng.yaml @@ -6,7 +6,7 @@ info: If the word is determined to be a noun within the sentence context, the microservice returns the potential hypernym, definition, and score. Otherwise, no result will be returned for that context. - Do ensure that your text is **within 5000 characters**. + The input text **should not exceed 5000 characters**. version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: From 130236b23b548515fda0cb1ed2f35d43fc4b2992 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 14:11:28 +0530 Subject: [PATCH 4515/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index d2ed51578..4e6473a4b 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -25,10 +25,7 @@ paths: $ref: '#/components/schemas/success' example: results: - generated: "My name is Teven and I am not your average blogger. I\u2019ve been blogging\ - \ for about two years now and though I\u2019ve grown out of my toddler years now,\ - \ I still keep it real on my blog and give my take" - + generated: "My name is Teven and I am not your average blogger. I have been blogging for about two years now and though I have grown out of my toddler years now, I still keep it real on my blog and give my take" message: Successfully Processed status: Success '401': From dcf47f6f8cb7963ce805a5952799ada6c764531d Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 16:41:37 +0800 Subject: [PATCH 4516/5916] Update face_recognition.yaml --- computer_vision/face_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index d5503b161..620f76d04 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -7,7 +7,7 @@ info: This microservice returns the identity of the person, the bounding box in image coordinates, and the confidence of the prediction. Users can further filter the results by countries, profession or even down to the individual names. Help us grow this microservice! [Let us know](https://www.sentient.io/contact) which other public figures you would like this microservice to recognise (e.g. a new country or a new category). We will expand the capability of this microservices based on user feedback and demand. - The size of your image file should **not exceed 10 MB** + The size of your image file **should not exceed 10 MB** version: '1.0.1' x-additionalinfo: |+ **Full List of Filters** From 805a4b0d55760efaf751bc29252135cfe5baed52 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 16:45:23 +0800 Subject: [PATCH 4517/5916] Update person_reidentification.yaml --- computer_vision/person_reidentification.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/computer_vision/person_reidentification.yaml b/computer_vision/person_reidentification.yaml index 5eb4bbe96..42e90d380 100644 --- a/computer_vision/person_reidentification.yaml +++ b/computer_vision/person_reidentification.yaml @@ -3,7 +3,8 @@ openapi: 3.0.1 info: title: Person Reidentification description: |+ - This Computer Vision microservice returns a similarity score (confidence) between two cropped images of people in the same scene. The images are captured across different camera views in a multi-camera system, or across different time in a single camera system. The size of your image should not exceed 5MB. + This Computer Vision microservice returns a similarity score (confidence) between two cropped images of people in the same scene. The images are captured across different camera views in a multi-camera system, or across different time in a single camera system. + The size of your image **should not exceed 5MB**. x-additionalinfo: |+ The algorithm is tested on varying conditions with single and multiple surveillance camera setups. However, external conditions like lighting, occlusions, and unexpected change of appearance (e.g. removal of jacket, hatwear) may result in lower confidence than expected. A threshold of 0.8 confidence has been experimentally tested as a good value for many scenarios for determining if the two input images are of the same person. Supported File Formats From 568dc93e8b4071e97d8cca1addd13251317adb7f Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 14:15:39 +0530 Subject: [PATCH 4518/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 4e6473a4b..d99ccc4bf 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -24,10 +24,11 @@ paths: schema: $ref: '#/components/schemas/success' example: - results: - generated: "My name is Teven and I am not your average blogger. I have been blogging for about two years now and though I have grown out of my toddler years now, I still keep it real on my blog and give my take" + results: + generated: "My name is Teven and I am not your average blogger. I have been blogging for about two years now and" message: Successfully Processed status: Success + '401': description: Unauthorized content: From 4a11c64def9f7c9ad2c01070f86df7ec81b9e6ac Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 14:49:10 +0530 Subject: [PATCH 4519/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index d99ccc4bf..4a401424e 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -25,7 +25,7 @@ paths: $ref: '#/components/schemas/success' example: results: - generated: "My name is Teven and I am not your average blogger. I have been blogging for about two years now and" + generated: "My name is Teven and I not an average vlogger. I have been vlogging about 5 years now and" message: Successfully Processed status: Success From d27ce3ac13ac55f48a95db534c37272691e952e0 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 9 Jun 2022 14:51:48 +0530 Subject: [PATCH 4520/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 4a401424e..33dec9f1d 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -102,10 +102,8 @@ components: example: { "" } properties: generated: - description: TO FILL MANUALLY - example: "My name is Teven and I am not your average blogger. I\u2019ve been blogging\ - \ for about two years now and though I\u2019ve grown out of my toddler years now,\ - \ I still keep it real on my blog and give my take" + description: Generated text with GPT-J 6B model + example: "My name is Teven and I not an average vlogger. I have been vlogging about 5 years now and" type: string message: @@ -207,7 +205,7 @@ components: oneOf: - type: string example: Published Date - June 06, 2022 - description: TO FILL MANUALLY + description: Initial Version input: type: object required: From a8249578aa1fbc26c7da258773966674c5ed78a3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:00:47 +0530 Subject: [PATCH 4521/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index cbdc7878d..1aa40898f 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -28,7 +28,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Aug 07, 2020" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/videotoimage/v1/getresults: post: @@ -238,7 +238,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.0: @@ -248,7 +248,7 @@ components: - type: string example: Published Date - Aug 07, 2020 x-details: Initial version release - description: Latest Version + description: Archived input: type: object required: From adc5d20332754c4202ba063a8814a3c81c317c8d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:04:37 +0530 Subject: [PATCH 4522/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index a8b47e716..dd7be3c2c 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -327,7 +327,7 @@ components: - type: string example: Published Date - Jan 11, 2021 x-details: Patch Update, Optimization and thumbnail is added as an additional field - description: Latest Version + description: Old Version v0.1.0: type: array items: From 9a686cd33e1640d2d006433c29b79313f9171c27 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:05:47 +0530 Subject: [PATCH 4523/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index 9678f3f14..4231e65ca 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Feb 10, 2022" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/audioprocessing/v1/getresults: post: @@ -228,7 +228,7 @@ components: - type: string example: Published Date - Feb 10, 2022 x-details: Type update - description: Latest Version + description: Old Version v0.1.0: type: array items: From 907e7ab0777b12607e1043c799821a61ea45abc7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:06:29 +0530 Subject: [PATCH 4524/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 9b1fd5e72..f1a90b66f 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -243,7 +243,7 @@ components: - type: string example: Published Date - Jul 08, 2021 x-details: Additional output date format options - description: Latest Version + description: Old Version v0.1.0: type: array items: From 2ed8e659846b9b8e60ec02e439f3fc3c0302e768 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:06:45 +0530 Subject: [PATCH 4525/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index f1a90b66f..0e3da7e8a 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -22,7 +22,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.3.0" - description: "Published Date - Jul 8, 2021" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/dateresolution/v0/getresults: post: From 2280d6eca6ae64380bf53b44c569a00bb1665425 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:07:22 +0530 Subject: [PATCH 4526/5916] Update decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index 20c338488..e5c53acf0 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Aug 30, 2019" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/rsadecode/v1/getresults: post: @@ -224,7 +224,7 @@ components: - type: string example: Published Date - Aug 30, 2019 x-details: Initial version release - description: Latest Version + description: Old Version input: type: object properties: From 4b37d7d3dc58103e7968c3038e362f62fa969aa1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:07:55 +0530 Subject: [PATCH 4527/5916] Update encryption_using_pki_key.yaml --- utility/encryption_using_pki_key.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key.yaml index fa5822513..06326dfde 100644 --- a/utility/encryption_using_pki_key.yaml +++ b/utility/encryption_using_pki_key.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Aug 30, 2019" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/rsaencode/v1/getresults: post: @@ -227,7 +227,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.0: @@ -237,7 +237,7 @@ components: - type: string example: Published Date - Aug 30, 2019 x-details: Initial version release - description: Latest Version + description: Old Version securitySchemes: APIAuthorizer: type: apiKey From 9f25a309a34b8e9ff3e767329128fb6ac5faa6c6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:08:27 +0530 Subject: [PATCH 4528/5916] Update get_ip.yaml --- utility/get_ip.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index c5adab3bc..831a5f601 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -26,7 +26,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Apr 07, 2021" + description: "Published Date - Jun 10, 2021" paths: /microservices/utility/getip/v0/getresults: get: @@ -160,7 +160,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Patch release description: Latest Version v0.1.0: @@ -170,7 +170,7 @@ components: - type: string example: Published Date - Apr 07, 2021 x-details: Initial version release - description: Latest Version + description: Old Version securitySchemes: APIAuthorizer: type: apiKey From 185aaaf8fcebbc0a6ba848000d38c4e74ffbacf2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:09:02 +0530 Subject: [PATCH 4529/5916] Update newspaper_article_scraper.yaml --- utility/newspaper_article_scraper.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/newspaper_article_scraper.yaml b/utility/newspaper_article_scraper.yaml index d660e3af1..fdf7e6cc7 100644 --- a/utility/newspaper_article_scraper.yaml +++ b/utility/newspaper_article_scraper.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Aug 07, 2020" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/newsarticle/v1/getresults: post: @@ -317,7 +317,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.0: @@ -327,7 +327,7 @@ components: - type: string example: Published Date - Aug 07, 2020 x-details: Initial version release - description: Latest Version + description: Old Version input: type: object required: From 0a2e98bbb891b75b8f1aa8b804d38333ea7695d7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:10:24 +0530 Subject: [PATCH 4530/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index fa057a35c..fbe372e00 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -77,7 +77,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Dec 04, 2020" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/webscraping/v2/getresults: post: @@ -297,7 +297,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version update description: Latest Version v1.1.1: @@ -307,7 +307,7 @@ components: - type: string example: Published Date - Dec 04, 2020 x-details: Patch Update - description: Latest Version + description: Old Version v1.1.0: type: array items: From 3266a138bec44ab7aed6b90538b8170c3bb04a21 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:10:58 +0530 Subject: [PATCH 4531/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index dd7be3c2c..3b128c341 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jan 11, 2021" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/wikipedia/v2/getresults: post: @@ -317,7 +317,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version update description: Latest Version v1.0.0: From 107b332be5e6a32ad95526279dae130b887d822f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:18:08 +0530 Subject: [PATCH 4532/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 34e1a329c..36e11d140 100644 --- a/index.yaml +++ b/index.yaml @@ -303,7 +303,7 @@ utility: title: Wikipedia Retrieval versions: 2.0.0: 'wikipedia_retrieval.yaml' - 1.0.0: 'wikipedia.yaml' + 1.0.0: 'wikipedia_v1.yaml' json-csv_convertor: title: JSON-CSV Convertor versions: From f47d1016da83d182b41176496a1f6f469f25991a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:19:41 +0530 Subject: [PATCH 4533/5916] Update audio_processing_utility_v0.1.yaml --- utility/audio_processing_utility_v0.1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/audio_processing_utility_v0.1.yaml b/utility/audio_processing_utility_v0.1.yaml index a20422a6f..1b689344d 100644 --- a/utility/audio_processing_utility_v0.1.yaml +++ b/utility/audio_processing_utility_v0.1.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Feb 10, 2022" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/audioprocessing/v0.1/getresults: post: @@ -216,7 +216,7 @@ components: - type: string example: Published Date - Jun 08, 2022 x-details: Major version release - description: Latest Version + description: Latest Version v0.1.1: type: array items: @@ -224,7 +224,7 @@ components: - type: string example: Published Date - Feb 10, 2022 x-details: Type update - description: Latest Version + description: Old Version v0.1.0: type: array items: From 5962867541bd139f37855d314314d89a4dca6411 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:20:26 +0530 Subject: [PATCH 4534/5916] Update decryption_for_pki_key_v0.1.yaml --- utility/decryption_for_pki_key_v0.1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/decryption_for_pki_key_v0.1.yaml b/utility/decryption_for_pki_key_v0.1.yaml index e491ff362..2c9a3fb13 100644 --- a/utility/decryption_for_pki_key_v0.1.yaml +++ b/utility/decryption_for_pki_key_v0.1.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 30, 2019" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/rsadecode/v0.1/getresults: post: @@ -214,7 +214,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.0: @@ -224,7 +224,7 @@ components: - type: string example: Published Date - Aug 30, 2019 x-details: Initial version release - description: Latest Version + description: Old Version input: type: object properties: From 0dc47915e80005e6d178e3d1a3451217f1d64567 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:21:05 +0530 Subject: [PATCH 4535/5916] Update encryption_using_pki_key_v0.1.yaml --- utility/encryption_using_pki_key_v0.1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/encryption_using_pki_key_v0.1.yaml b/utility/encryption_using_pki_key_v0.1.yaml index 68d05dc46..8942b3712 100644 --- a/utility/encryption_using_pki_key_v0.1.yaml +++ b/utility/encryption_using_pki_key_v0.1.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 30, 2019" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/rsaencode/v0.1/getresults: post: @@ -227,7 +227,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.0: @@ -237,7 +237,7 @@ components: - type: string example: Published Date - Aug 30, 2019 x-details: Initial version release - description: Latest Version + description: Old Version securitySchemes: APIAuthorizer: type: apiKey From acc1823ce3c4a1c8c6d7279f64f03c15fd3027f3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:21:48 +0530 Subject: [PATCH 4536/5916] Update newspaper_article_scraper_v0.1.yaml --- utility/newspaper_article_scraper_v0.1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/newspaper_article_scraper_v0.1.yaml b/utility/newspaper_article_scraper_v0.1.yaml index d9c1c5f48..cd6752893 100644 --- a/utility/newspaper_article_scraper_v0.1.yaml +++ b/utility/newspaper_article_scraper_v0.1.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 07, 2020" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/newsarticle/v0.1/getresults: post: @@ -317,7 +317,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.0: @@ -327,7 +327,7 @@ components: - type: string example: Published Date - Aug 07, 2020 x-details: Initial version release - description: Latest Version + description: Old Version input: type: object required: From 216ff23f467d2782a66feace42e58b901205a090 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:22:51 +0530 Subject: [PATCH 4537/5916] Update pki_key_generator_v0.1.yaml --- utility/pki_key_generator_v0.1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/pki_key_generator_v0.1.yaml b/utility/pki_key_generator_v0.1.yaml index d9c6021eb..d7ef151d7 100644 --- a/utility/pki_key_generator_v0.1.yaml +++ b/utility/pki_key_generator_v0.1.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Feb 10, 2022" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/rsagetkeys/v0.1/getresults: post: @@ -213,7 +213,7 @@ components: - type: string example: Published Date - Jun 08, 2022 x-details: Major version release - description: Latest Version + description: Latest Version v0.1.1: type: array items: @@ -221,7 +221,7 @@ components: - type: string example: Published Date - Feb 10, 2022 x-details: Patch Update(Input Type Change) - description: Latest Version + description: Old Version v0.1.0: type: array items: From 5a79fb5af0302b994250faeda430452642fa04dd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:22:54 +0530 Subject: [PATCH 4538/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 3eb88da45..ea6f7e639 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Feb 10, 2022" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/rsagetkeys/v1/getresults: post: @@ -231,7 +231,7 @@ components: - type: string example: Published Date - Feb 10, 2022 x-details: Patch Update(Input Type Change) - description: Latest Version + description: Old Version v0.1.0: type: array items: From 37d7af2045122ba12b3909e20942ace2eba5a1c0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:23:34 +0530 Subject: [PATCH 4539/5916] Update video-to-image_convertor_v0.1.yaml --- utility/video-to-image_convertor_v0.1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/video-to-image_convertor_v0.1.yaml b/utility/video-to-image_convertor_v0.1.yaml index abcab5ca6..3b83cc460 100644 --- a/utility/video-to-image_convertor_v0.1.yaml +++ b/utility/video-to-image_convertor_v0.1.yaml @@ -28,7 +28,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 07, 2020" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/videotoimage/v0.1/getresults: post: @@ -230,7 +230,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.0: @@ -240,7 +240,7 @@ components: - type: string example: Published Date - Aug 07, 2020 x-details: Initial version release - description: Latest Version + description: Archived input: type: object required: From ad2b2beb2586e0ff4cc3ac931719ac7e81f82b7e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:24:21 +0530 Subject: [PATCH 4540/5916] Update web_scraper_v1.yaml --- utility/web_scraper_v1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/web_scraper_v1.yaml b/utility/web_scraper_v1.yaml index 7bf7a6306..3b3fc7a03 100644 --- a/utility/web_scraper_v1.yaml +++ b/utility/web_scraper_v1.yaml @@ -77,7 +77,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.1.1" - description: "Published Date - Dec 04, 2020" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/webscraping/v1/getresults: post: @@ -297,7 +297,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version update description: Latest Version v1.1.1: @@ -307,7 +307,7 @@ components: - type: string example: Published Date - Dec 04, 2020 x-details: Patch Update - description: Latest Version + description: Old Version v1.1.0: type: array items: From 3d634c82d26eef066eacc550af94af7d2a647ec9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:24:53 +0530 Subject: [PATCH 4541/5916] Update wikipedia_v1.yaml --- utility/wikipedia_v1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/wikipedia_v1.yaml b/utility/wikipedia_v1.yaml index ed9bca2b2..24d0c005d 100644 --- a/utility/wikipedia_v1.yaml +++ b/utility/wikipedia_v1.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jan 11, 2021" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/wikipedia/v1/getresults: post: @@ -317,7 +317,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version update description: Latest Version v1.0.0: @@ -327,7 +327,7 @@ components: - type: string example: Published Date - Jan 11, 2021 x-details: Patch Update, Optimization and thumbnail is added as an additional field - description: Latest Version + description: Old Version v0.1.0: type: array items: From d264d66556e6e095c4c671390bc6d4d1cabf717e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:27:00 +0530 Subject: [PATCH 4542/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index 4231e65ca..01c06ffbc 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -218,7 +218,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.1: From c7b534cfd72c54c110c8e2a7bd47b3022705b227 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:27:17 +0530 Subject: [PATCH 4543/5916] Update audio_processing_utility_v0.1.yaml --- utility/audio_processing_utility_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/audio_processing_utility_v0.1.yaml b/utility/audio_processing_utility_v0.1.yaml index 1b689344d..f168f2ca2 100644 --- a/utility/audio_processing_utility_v0.1.yaml +++ b/utility/audio_processing_utility_v0.1.yaml @@ -214,7 +214,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.1: From 73032bac78994ad39210cc77f9067121707f337a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:27:39 +0530 Subject: [PATCH 4544/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 0e3da7e8a..4a2483a2e 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -233,7 +233,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Patch release description: Latest Version v0.2.0: From ed3943aa65ac7d39244d29abe5bb04e60f255ad4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:28:22 +0530 Subject: [PATCH 4545/5916] Update decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index e5c53acf0..92942b46a 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -214,7 +214,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.0: From 107a892fbd17528d6df2e9b7df57e5271b3afa62 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:29:27 +0530 Subject: [PATCH 4546/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index ea6f7e639..f8f9473f8 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -221,7 +221,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.1: From 8c8e0c0105cd4f11ffdebd952831fe85d5905d63 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:29:43 +0530 Subject: [PATCH 4547/5916] Update pki_key_generator_v0.1.yaml --- utility/pki_key_generator_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator_v0.1.yaml b/utility/pki_key_generator_v0.1.yaml index d7ef151d7..dbcad0793 100644 --- a/utility/pki_key_generator_v0.1.yaml +++ b/utility/pki_key_generator_v0.1.yaml @@ -211,7 +211,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 08, 2022 + example: Published Date - Jun 10, 2022 x-details: Major version release description: Latest Version v0.1.1: From b18d01e9d5a22970dd04422b53a3274f906dbbe5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:33:57 +0530 Subject: [PATCH 4548/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index fc27824d0..38027005c 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -905,7 +905,7 @@ components: type: string default: true description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + The value must be one the indicators name example: pageurl rebulkuploaditeminput: type: object @@ -932,7 +932,7 @@ components: type: array default: true description: |+ - The value must be one the "name"s in the "indicators" array from the UR engine's JSON config. + The value must be array of item properties example: ["pagetile","description","pageurl"] items: oneOf: From e7548fa0f60c0736ea54535f6154bb82394dcf8e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:38:51 +0530 Subject: [PATCH 4549/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 4a2483a2e..2adbb9c22 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -243,7 +243,7 @@ components: - type: string example: Published Date - Jul 08, 2021 x-details: Additional output date format options - description: Old Version + description: Archived v0.1.0: type: array items: From 0eca83aa0551ccc282f0a5ab3ccbed14331ffed6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:39:13 +0530 Subject: [PATCH 4550/5916] Update get_ip.yaml --- utility/get_ip.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index 831a5f601..ac0b66c0f 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -170,7 +170,7 @@ components: - type: string example: Published Date - Apr 07, 2021 x-details: Initial version release - description: Old Version + description: Archived securitySchemes: APIAuthorizer: type: apiKey From eddf56c4100f08dab053d32a51e4eee6afdd97f6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:44:27 +0530 Subject: [PATCH 4551/5916] Update audio_processing_utility_v0.1.yaml --- utility/audio_processing_utility_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/audio_processing_utility_v0.1.yaml b/utility/audio_processing_utility_v0.1.yaml index f168f2ca2..d40821cbf 100644 --- a/utility/audio_processing_utility_v0.1.yaml +++ b/utility/audio_processing_utility_v0.1.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Feb 10, 2022" paths: /microservices/utility/audioprocessing/v0.1/getresults: post: From e3a92fc5c10734cd56832b37301931dd0b0d3809 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:44:48 +0530 Subject: [PATCH 4552/5916] Update decryption_for_pki_key_v0.1.yaml --- utility/decryption_for_pki_key_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/decryption_for_pki_key_v0.1.yaml b/utility/decryption_for_pki_key_v0.1.yaml index 2c9a3fb13..ecd3f3975 100644 --- a/utility/decryption_for_pki_key_v0.1.yaml +++ b/utility/decryption_for_pki_key_v0.1.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Aug 30, 2019" paths: /microservices/utility/rsadecode/v0.1/getresults: post: From 53b1e7a5df5a744b09e723bf83d1ee73dc41d983 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:45:09 +0530 Subject: [PATCH 4553/5916] Update encryption_using_pki_key_v0.1.yaml --- utility/encryption_using_pki_key_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/encryption_using_pki_key_v0.1.yaml b/utility/encryption_using_pki_key_v0.1.yaml index 8942b3712..4a7ac01b9 100644 --- a/utility/encryption_using_pki_key_v0.1.yaml +++ b/utility/encryption_using_pki_key_v0.1.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Aug 30, 2019" paths: /microservices/utility/rsaencode/v0.1/getresults: post: From b25ab7fb7b1e732269dfb22ad257b61a6b7fc4f8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:45:29 +0530 Subject: [PATCH 4554/5916] Update newspaper_article_scraper_v0.1.yaml --- utility/newspaper_article_scraper_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/newspaper_article_scraper_v0.1.yaml b/utility/newspaper_article_scraper_v0.1.yaml index cd6752893..595dda9fa 100644 --- a/utility/newspaper_article_scraper_v0.1.yaml +++ b/utility/newspaper_article_scraper_v0.1.yaml @@ -29,7 +29,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Aug 07, 2020" paths: /microservices/utility/newsarticle/v0.1/getresults: post: From dd26a7708a2c9e98dbeccd405ddc79bbafd7a69c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:46:00 +0530 Subject: [PATCH 4555/5916] Update pki_key_generator_v0.1.yaml --- utility/pki_key_generator_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator_v0.1.yaml b/utility/pki_key_generator_v0.1.yaml index dbcad0793..ddd3bfb93 100644 --- a/utility/pki_key_generator_v0.1.yaml +++ b/utility/pki_key_generator_v0.1.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Feb 10, 2022" paths: /microservices/utility/rsagetkeys/v0.1/getresults: post: From 1c6a54b27bcdf94c66dcee9d9849e91585030ab8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:46:14 +0530 Subject: [PATCH 4556/5916] Update video-to-image_convertor_v0.1.yaml --- utility/video-to-image_convertor_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-image_convertor_v0.1.yaml b/utility/video-to-image_convertor_v0.1.yaml index 3b83cc460..f9f0c2e9e 100644 --- a/utility/video-to-image_convertor_v0.1.yaml +++ b/utility/video-to-image_convertor_v0.1.yaml @@ -28,7 +28,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Aug 07, 2020" paths: /microservices/utility/videotoimage/v0.1/getresults: post: From e4db7587cdccbcd156829aae6667c94a7fa15381 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:46:30 +0530 Subject: [PATCH 4557/5916] Update web_scraper_v1.yaml --- utility/web_scraper_v1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/web_scraper_v1.yaml b/utility/web_scraper_v1.yaml index 3b3fc7a03..819aefc9f 100644 --- a/utility/web_scraper_v1.yaml +++ b/utility/web_scraper_v1.yaml @@ -77,7 +77,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.1.1" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Dec 04, 2020" paths: /microservices/utility/webscraping/v1/getresults: post: From 43cccc80d2b3054e8ebaf402566afe6ca00cfeb1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:46:45 +0530 Subject: [PATCH 4558/5916] Update wikipedia_v1.yaml --- utility/wikipedia_v1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/wikipedia_v1.yaml b/utility/wikipedia_v1.yaml index 24d0c005d..84300d453 100644 --- a/utility/wikipedia_v1.yaml +++ b/utility/wikipedia_v1.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jan 11, 2021" paths: /microservices/utility/wikipedia/v1/getresults: post: From e193e95c133c96dd0b52ba5c3c1bf029159b9b6b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 9 Jun 2022 17:54:53 +0530 Subject: [PATCH 4559/5916] Update get_ip.yaml --- utility/get_ip.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index ac0b66c0f..759d9202e 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -26,7 +26,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Jun 10, 2021" + description: "Published Date - Jun 10, 2022" paths: /microservices/utility/getip/v0/getresults: get: From a63c675032c6c500c15456084000246a50685956 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Fri, 10 Jun 2022 11:29:21 +0800 Subject: [PATCH 4560/5916] Update text_to_speech_jp.yaml --- voice/text_to_speech_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index 02cfa1811..879c17f87 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -7,7 +7,7 @@ info: User can adjust the pitch and tempo of the the synthesised speech. - The input text should not exceed **800 characters**. + The input text **should not exceed 800 characters**. version: v0.1.0 x-subscribelink: text-to-speech_jp x-apitype: small file From a1ef5d2980e0cda332f8c13cf6f2d34013ac4155 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 10 Jun 2022 09:03:13 +0530 Subject: [PATCH 4561/5916] Rename fitness_stations_and_playgrounds_hdb_sg_v1yaml to fitness_stations_and_playgrounds_hdb_sg_v1.yaml --- ..._sg_v1yaml => fitness_stations_and_playgrounds_hdb_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{fitness_stations_and_playgrounds_hdb_sg_v1yaml => fitness_stations_and_playgrounds_hdb_sg_v1.yaml} (100%) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg_v1yaml b/data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml similarity index 100% rename from data/fitness_stations_and_playgrounds_hdb_sg_v1yaml rename to data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml From 1f0d0b94f6e61fcbb0a8083fc143a250c8122015 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 10 Jun 2022 11:44:32 +0530 Subject: [PATCH 4562/5916] Update automatic_speech_recognition_chi_large_file.yaml --- ...tic_speech_recognition_chi_large_file.yaml | 20 +++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 42fdf81ac..84b407267 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -7,7 +7,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - version: '0.1.0' + version: '0.1.1' x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-subscribelink: automatic_speech_recognition_chi @@ -25,17 +25,17 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 18, 2022" +- name: "v0.1.1" + description: "Published Date - Jun 10, 2022" paths: /async/microservices/voice/asrsch/v0/getuploadurl: description: |+ Get the pre-signed url to upload the file. post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -409,6 +409,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 10, 2022 + x-details: Latest Version + description: Latest Version v0.1.0: type: array items: @@ -416,7 +424,7 @@ components: - type: string example: Published Date - Feb 18, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object required: From 3a1a6529f4d9f8701e0b533826e06d1192822e5b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 10 Jun 2022 11:44:51 +0530 Subject: [PATCH 4563/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 36e11d140..607c01a1a 100644 --- a/index.yaml +++ b/index.yaml @@ -32,7 +32,7 @@ voice: automatic_speech_recognition_eng_large_file: title: Automatic Speech Recognition ENG (Large File) versions: - 0.1.0: 'automatic_speech_recognition_eng_large_file.yaml' + 0.1.1: 'automatic_speech_recognition_eng_large_file.yaml' automatic_speech_recognition_chi: title: Automatic Speech Recognition CHI versions: From 490d7d18ef6a3331a60f07926cdb834d407eea0d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 10 Jun 2022 16:57:20 +0530 Subject: [PATCH 4564/5916] Create thumbnail_generation_large_file.yaml --- .../thumbnail_generation_large_file.yaml | 558 ++++++++++++++++++ 1 file changed, 558 insertions(+) create mode 100644 computer_vision/thumbnail_generation_large_file.yaml diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml new file mode 100644 index 000000000..155835025 --- /dev/null +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -0,0 +1,558 @@ +openapi: 3.0.1 +info: + title: Thumbnail_generation (Large File) + description: |+ + This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video. Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis. + The size of your video file should not exceed 10MB + + version: '0.1.0' + + x-subscribelink: speaker_diarization + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jun 09, 2022" +paths: + /async/microservices/cv/thumbnailgeneration/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: 309/495/lp-thumbnailgeneration/input/11.4MB_da02ee86013b44be97ae1c2529067571.m4v + policy: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhdWRpby93YXYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDQ3NTE2MzZdLHsiY29udGVudC10eXBlIjoiYXVkaW8vd2F2In0seyJ4LWdvb2ctbWV0YS1hZGRpdGlvbmFsX3BhcmFtIjoie1wiaW52ZXJzZV90ZXh0X25vcm1hbGl6YXRpb25cIjogZmFsc2UsIFwicHVuY3R1YXRpb25fcHJlZGljdGlvblwiOiBmYWxzZX0ifSx7IngtZ29vZy1tZXRhLW9pZCI6IjMwOSJ9LHsieC1nb29nLW1ldGEtdWlkIjoiNDk1In0seyJ4LWdvb2ctbWV0YS11cGxvYWRlciI6Ijk1OTY5YTgwYzlhNDQ4ZmY4OTgwZTc4ZDljYzhhY2M5In0seyJ4LWdvb2ctbWV0YS11dWlkIjoiNTI5MmE3MWI0NTE4NDQyNDgyNmM5MDg5YzEwM2ZiNzgifSx7ImJ1Y2tldCI6ImxwX3VzZXJfc3BhY2VfcHJvZCJ9LHsia2V5IjoiMzA5LzQ5NS9scC1hc3JzY2gvaW5wdXQvNHRlc3RfNTI5MmE3MWI0NTE4NDQyNDgyNmM5MDg5YzEwM2ZiNzgud2F2In0seyJ4LWdvb2ctZGF0ZSI6IjIwMjIwMjI0VDA2MjMyMVoifSx7IngtZ29vZy1jcmVkZW50aWFsIjoic2VudGllbnQtYmlncXVlcnlAc2VudGllbnQtMjMxNTA5LmlhbS5nc2VydmljZWFjY291bnQuY29tLzIwMjIwMjI0L2F1dG8vc3RvcmFnZS9nb29nNF9yZXF1ZXN0In0seyJ4LWdvb2ctYWxnb3JpdGhtIjoiR09PRzQtUlNBLVNIQTI1NiJ9XSwiZXhwaXJhdGlvbiI6IjIwMjItMDItMjRUMDc6MjM6MjEuOTEwNTQ5WiJ9 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + x-goog-date: 20220224T062321Z + x-goog-meta-additional_param: "{\"output_type\": \"jpeg\", \"output_thumbnails\": 1, \"file_type\": \"m4v\", \"output_width\": 360}" + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 + x-goog-meta-uuid: 5292a71b45184424826c9089c103fb78 + x-goog-signature: 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 + jid: 5292a71b45184424826c9089c103fb78 + request_cost: 1.2675 + url: https://storage.googleapis.com/user_space_dev/ + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/asrsch/v0/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: '2021-07-06 12:50:30' + message: File Processing Successfully Started + request_cost: 0.086 + status: Processing + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 06, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: '4 test.m4v' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'audio/wav' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + video - ["video/x-m4v", "video/mp4", + "video/mpeg", "video/webm","video/x-msvideo", "video/quicktime"] + additional_param: + x-name: additional_param + type: object + properties: + output_type: + x-name: output_type + type: string + default: False + example: jpeg + description: |+ + Type of output file to be returned. Eg:gif, jpeg. Default value is jpeg. + output_thumbnails: + x-name: output_thumbnails + type: number + default: False + example: 1 + description: |+ + Number of output thumbnail images. Between 1 and 20. Default value is 1. + file_type: + x-name: output_thumbnails + type: string + default: False + example: mp4 + description: |+ + Type of video container. If not specified, the type of container is detected and processed. Accepted containers: 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' + output_width: + x-name: output_width + type: number + default: False + example: 360 + description: |+ + Pixel width of thumbnail images. Value should be between 1 and 1920. Default value is 360. + uploadinput: + type: object + required: + - filePath + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: audio/wav + description: Fields + key: + type: string + default: false + example: 309/495/lp-thumbnailgeneration/input/11.4MB_da02ee86013b44be97ae1c2529067571.m4v + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request + description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: "{\"output_type\": \"jpeg\", \"output_thumbnails\": 1, \"file_type\": \"m4v\", \"output_width\": 360}" + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 309 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 495 + description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + status: + type: string + example: Success + description: The status of the API call success/failure + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From e2f1ab2e0c977f9293fa4bb081df313cb9b54898 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 10 Jun 2022 16:58:40 +0530 Subject: [PATCH 4565/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index 607c01a1a..402174c59 100644 --- a/index.yaml +++ b/index.yaml @@ -258,6 +258,10 @@ computer vision: title: Thumbnail Generation versions: 0.2.1: 'thumbnail_generation.yaml' + thumbnail_generation_large_file: + title: Thumbnail_generation (Large File) + versions: + 0.2.1: 'thumbnail_generation_large_file.yaml' invoice_scanner: title: Invoice Scanner versions: From 61e895d5b1228278ca18f0bad6c30af69c2011a8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 10 Jun 2022 16:59:19 +0530 Subject: [PATCH 4566/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 402174c59..a69fac867 100644 --- a/index.yaml +++ b/index.yaml @@ -259,7 +259,7 @@ computer vision: versions: 0.2.1: 'thumbnail_generation.yaml' thumbnail_generation_large_file: - title: Thumbnail_generation (Large File) + title: Thumbnail Generation (Large File) versions: 0.2.1: 'thumbnail_generation_large_file.yaml' invoice_scanner: From 46ee7bd64973088350aca2229350bf6f0f8c923d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 10 Jun 2022 17:00:19 +0530 Subject: [PATCH 4567/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index a69fac867..176dc92ee 100644 --- a/index.yaml +++ b/index.yaml @@ -261,7 +261,7 @@ computer vision: thumbnail_generation_large_file: title: Thumbnail Generation (Large File) versions: - 0.2.1: 'thumbnail_generation_large_file.yaml' + 0.1.0: 'thumbnail_generation_large_file.yaml' invoice_scanner: title: Invoice Scanner versions: From d63514deddf13e87641ac5429746422711dd2b8b Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 13 Jun 2022 12:18:10 +0800 Subject: [PATCH 4568/5916] Update directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index b02e96ade..a20b9f988 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -448,11 +448,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - success/failure unauthorized: type: object properties: From f623eb9229ae6332bc5eec1cc2d4e041c7a59bfb Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 13 Jun 2022 12:21:51 +0800 Subject: [PATCH 4569/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 6fb2afa2d..5f1a01f25 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -310,11 +310,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - success/failure unauthorized: type: object properties: From b7424888cc9e53c918597ac486f321a8f47dec2e Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Mon, 13 Jun 2022 12:25:10 +0800 Subject: [PATCH 4570/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 6be8da16b..e66f14da5 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -376,11 +376,11 @@ components: message: type: string example: Successfully Processed - description: The detail description on the status + description: Description of the API status status: type: string example: Success - description: The status of the API call Success/Failure + description: The status of the API call - success/failure unauthorized: type: object properties: From eeb08cb860d13f9f14ac7bd62b4ef0070c9c4c07 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 13 Jun 2022 10:31:27 +0530 Subject: [PATCH 4571/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 155835025..34fa23640 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -461,7 +461,7 @@ components: description: |+ Number of output thumbnail images. Between 1 and 20. Default value is 1. file_type: - x-name: output_thumbnails + x-name: file_type type: string default: False example: mp4 From 57d6fd2d58ec06ff0eb4fb45c9d2159a92d6ab2a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 13 Jun 2022 12:18:26 +0530 Subject: [PATCH 4572/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 34fa23640..03bfba8fa 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: Thumbnail_generation (Large File) + title: Thumbnail Generation (Large File) description: |+ This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video. Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis. The size of your video file should not exceed 10MB From 7a22a7de3108be7e029901cb0f033e4f7e181b8c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 13 Jun 2022 12:23:31 +0530 Subject: [PATCH 4573/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 03bfba8fa..babffd064 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -7,7 +7,7 @@ info: version: '0.1.0' - x-subscribelink: speaker_diarization + x-subscribelink: thumbnail_generation x-apitype: large file x-apitypedescription: |+ Asyncronous | Batch | 1GB/File. From dcf0a5abdd6be1de291b0d28c22516027dc300f2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 13 Jun 2022 14:04:57 +0530 Subject: [PATCH 4574/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index babffd064..cbefe3eec 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -477,7 +477,7 @@ components: uploadinput: type: object required: - - filePath + - file properties: file: type: string From 8ab637e562825993a67449ba7c91d54871233395 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 13 Jun 2022 14:17:16 +0530 Subject: [PATCH 4575/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index cbefe3eec..e27c1b7b3 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -422,7 +422,7 @@ components: x-name: file_name type: string default: true - format: binary + format: string example: '4 test.m4v' description: |+ Name of file to be upload. From 7c727ba5cd7cef67cef1bfb2ad6d645bb25bd3ba Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 13 Jun 2022 14:26:22 +0530 Subject: [PATCH 4576/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index 1aa40898f..0765de95d 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -252,7 +252,7 @@ components: input: type: object required: - - filePath + - file_path properties: file_path: type: string From 9df5e68bd28e1da222d20eda1ea3b8e5f07d7d38 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Tue, 14 Jun 2022 10:45:48 +0800 Subject: [PATCH 4577/5916] Update sentence_ranking.yaml --- nlp/sentence_ranking.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index 9fd901e0b..84dc523e5 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -6,7 +6,7 @@ info: This Sentence Ranking microservice is useful for extractive summaries, which involves picking up the most important phrases and sentences from the original text input and reusing those to make up the summary. In this case, the microservice will only consider sentences with a score above the mean score (of all other sentences scores) as being significant and return those sentences only. Do note that the sentences are also returned on the order of appearance within the original text. - Do ensure that your text is within **5000 characters**. + The input text **should not exceed 5000 characters**. version: v0.1.0 x-additionalinfo: |+ **Suggested usecases:** @@ -162,11 +162,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object From e7899666798951d20e5a5c6460afc06ca2fc5754 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 14 Jun 2022 09:46:43 +0530 Subject: [PATCH 4578/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 707329b24..55cfc8d8f 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -276,7 +276,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/lp_user_space_prod' description: Override base path for the GET /ping operation tags: - v0.1.0 From ec3dc6a2c16dc694054298eb931968a1c4578028 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Tue, 14 Jun 2022 16:58:32 +0800 Subject: [PATCH 4579/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 54798e073..d7265180d 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -6,7 +6,7 @@ info: It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. - The input text should be a maximum of 400 words. + The input text **should not exceed 400 words**. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From bb5cef2675331dfbc412241f278468ab5ce37b18 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Tue, 14 Jun 2022 17:02:24 +0800 Subject: [PATCH 4580/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index d7265180d..7fc08fa6d 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -6,7 +6,7 @@ info: It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. - The input text **should not exceed 400 words**. + The input text **should not exceed 5000 characters**. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: From 24da05f80807bfe0f04bed1d1a21ad1df7d67d77 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Wed, 15 Jun 2022 13:32:58 +0800 Subject: [PATCH 4581/5916] Update sentence_paraphrase.yaml --- nlp/sentence_paraphrase.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/sentence_paraphrase.yaml b/nlp/sentence_paraphrase.yaml index 484fee65e..5d58a1875 100644 --- a/nlp/sentence_paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -124,11 +124,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure unauthorized: type: object From efc6fe0d95c640fab69d33f953b523dd58ed54db Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Wed, 15 Jun 2022 13:36:44 +0800 Subject: [PATCH 4582/5916] Update landmark_detection.yaml --- computer_vision/landmark_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/landmark_detection.yaml b/computer_vision/landmark_detection.yaml index 128260494..2487bbeb6 100644 --- a/computer_vision/landmark_detection.yaml +++ b/computer_vision/landmark_detection.yaml @@ -134,11 +134,11 @@ components: message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success - description: The status of the API call success/failure + description: The status of the API call - success/failure From 284239878187f15209811e533fdea4e214aa54a6 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Wed, 15 Jun 2022 13:43:37 +0800 Subject: [PATCH 4583/5916] Update document_conversion_eng.yaml --- utility/document_conversion_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml index c2ccd0e34..bbdb18e34 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng.yaml @@ -4,7 +4,7 @@ info: description: |+ This Utility microservice extracts the English text content of either an input of Microsoft Word, HTML or PDF document and outputs into a plain text format. - The size of your document file should **not exceed 7 MB**. + The size of your document file **should not exceed 7 MB**. x-additionalinfo: |+ Suggested Use Cases: - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the document can be used with a Voice microservice such as Text-to-Speech. From 57c31e4c7468744a4ba2c4109b4f056de914c554 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Wed, 15 Jun 2022 13:50:17 +0800 Subject: [PATCH 4584/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index 37a4554e2..71b5e11cf 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -4,7 +4,7 @@ info: description: |+ This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format. - The size of your video file should **not exceed 10 MB**. + The size of your video file **should not exceed 10 MB**. version: '0.1.0' x-additionalinfo: |+ Suggested Use Cases: From 3103e22381cebc7c6e72ef0a891b8c42e7e961a8 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Wed, 15 Jun 2022 13:51:11 +0800 Subject: [PATCH 4585/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index 0765de95d..5273e65ce 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -5,7 +5,7 @@ info: This Utility microservice captures the images from the input video file at the frame rate of 1 frame per second. Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. - The size of your video file should **not exceed 10 MB**. + The size of your video file **should not exceed 10 MB**. x-additionalinfo: |+ Suggested Use Cases: - Can be integrated into video editing software to create a quick preview of the footage the user is editing. From 8f68f9ddefabbdec6f3acfcc1d497598dc26ad38 Mon Sep 17 00:00:00 2001 From: joelsentient <105408641+joelsentient@users.noreply.github.com> Date: Thu, 16 Jun 2022 11:41:15 +0800 Subject: [PATCH 4586/5916] Update page_profiler_eng.yaml --- nlp/page_profiler_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index b477ba15c..2b3eb9721 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -134,7 +134,7 @@ message: type: string example: Successfully Processed - description: Detail description on the API status + description: Description of the API status status: type: string example: Success From b17f7102886c6e067cb5ce0e4ce8fdff0d84d98b Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 16 Jun 2022 17:32:45 +0530 Subject: [PATCH 4587/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 33dec9f1d..2c78e6645 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: Text Generation using GPT-J 6B description: |+ - GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. - + GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. version: v0.1.0 x-subscribelink: text_generation_gptj6b servers: From 38cc863ca0b7b93485df3a2ac564b4a1050eb000 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 16 Jun 2022 17:38:16 +0530 Subject: [PATCH 4588/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 53 ++++++++++++++++++++++----------- 1 file changed, 35 insertions(+), 18 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 2c78e6645..bb946a8c3 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -1,15 +1,19 @@ openapi: 3.0.1 info: - title: Text Generation using GPT-J 6B + title: gptj6b description: |+ - GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. + GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. + +Language: English + +The model has token_length limit of atmost 100. version: v0.1.0 x-subscribelink: text_generation_gptj6b servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - June 06, 2022" + description: "Published Date - June 15, 2022" paths: /microservices/nlp/gptj/v0/getpredictions: post: @@ -23,11 +27,10 @@ paths: schema: $ref: '#/components/schemas/success' example: - results: - generated: "My name is Teven and I not an average vlogger. I have been vlogging about 5 years now and" + results: + generated: "My name is Teven and I not an average vlogger. I have been vlogging about 5 years now and" message: Successfully Processed status: Success - '401': description: Unauthorized content: @@ -102,7 +105,7 @@ components: properties: generated: description: Generated text with GPT-J 6B model - example: "My name is Teven and I not an average vlogger. I have been vlogging about 5 years now and" + example: "My name is Teven and I not an average vlogger. I have been vlogging about 5 years now and" type: string message: @@ -150,15 +153,6 @@ components: status: type: string example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure servererror: type: object properties: @@ -203,8 +197,8 @@ components: items: oneOf: - type: string - example: Published Date - June 06, 2022 - description: Initial Version + example: Published Date - June 15, 2022 + description: Initial Version input: type: object required: @@ -219,6 +213,29 @@ components: example: My name is Teven and I am description: |+ The input text prompt to be passed for models to generate output. It can generate code, fill in arbitrary sentences etc.. + token_length: + x-name: token_length + type: number + default: False + example: 60 + description: |+ + The model using GPTJ model tokenizer, converts the input text to sentences, and token_length describes the maximum length of tokens in input. + +Default value is 50 +Recommended range is between 20 and 100. + num_beams: + x-name: num_beams + type: number + default: False + example: 2 + description: |+ + This parameter will determine how many nodes to search at each level. + +The bigger the number is the more time it takes to complete. + +Default value is 5. + +Recommended range is between 2-5. securitySchemes: From 4463193599f0fecdb9b7858c0ac97d94ebbe5d5f Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 16 Jun 2022 17:42:21 +0530 Subject: [PATCH 4589/5916] :bug: fix string errors in GPTJ model --- nlp/text_generation_gptj6b.yaml | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index bb946a8c3..097c543ad 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -4,9 +4,9 @@ info: description: |+ GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. -Language: English + Language: English -The model has token_length limit of atmost 100. + The model has token_length limit of maximum 100. version: v0.1.0 x-subscribelink: text_generation_gptj6b servers: @@ -220,9 +220,8 @@ components: example: 60 description: |+ The model using GPTJ model tokenizer, converts the input text to sentences, and token_length describes the maximum length of tokens in input. - -Default value is 50 -Recommended range is between 20 and 100. + Default value is 50 + Recommended range is between 20 and 100. num_beams: x-name: num_beams type: number @@ -231,13 +230,11 @@ Recommended range is between 20 and 100. description: |+ This parameter will determine how many nodes to search at each level. -The bigger the number is the more time it takes to complete. + The bigger the number is the more time it takes to complete. -Default value is 5. + Default value is 5. -Recommended range is between 2-5. - - + Recommended range is between 2-5. securitySchemes: APIAuthorizer: type: apiKey From 6416e5271102ca531e60dfa71a919bf8bfae9bb3 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 16 Jun 2022 17:46:22 +0530 Subject: [PATCH 4590/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 097c543ad..d87fb6156 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: gptj6b + title: Text Generation using GPT-J 6B description: |+ GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. From ef596e3561bf3c5a548f7de06b61f0de1fe82d3f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 17 Jun 2022 08:56:01 +0530 Subject: [PATCH 4591/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 84b407267..eb364f569 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.1" description: "Published Date - Jun 10, 2022" From 5dad71bc5aa826e6df3549d5fce211de6ecd9b34 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 17 Jun 2022 12:04:35 +0530 Subject: [PATCH 4592/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 55cfc8d8f..83c9ef725 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -167,7 +167,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 15, 2022" From b11be40b5c60d05c12d1f805e973a8d380402b63 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 17 Jun 2022 17:05:38 +0530 Subject: [PATCH 4593/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 83c9ef725..707329b24 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -167,7 +167,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 15, 2022" @@ -276,7 +276,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 7b91a4316c48bc8feef199b2585c61eb46beccfa Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 11:33:25 +0530 Subject: [PATCH 4594/5916] Rename google_asr_large_file.yaml to google_asr_large_file_v0.yaml --- .../{google_asr_large_file.yaml => google_asr_large_file_v0.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{google_asr_large_file.yaml => google_asr_large_file_v0.yaml} (100%) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file_v0.yaml similarity index 100% rename from voice/google_asr_large_file.yaml rename to voice/google_asr_large_file_v0.yaml From 5a1a37c7496e88d995c621ddd226812d18e5ce14 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 11:38:59 +0530 Subject: [PATCH 4595/5916] Create google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 719 +++++++++++++++++++++++++++++++ 1 file changed, 719 insertions(+) create mode 100644 voice/google_asr_large_file.yaml diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml new file mode 100644 index 000000000..cb7e08d08 --- /dev/null +++ b/voice/google_asr_large_file.yaml @@ -0,0 +1,719 @@ +openapi: 3.0.1 +info: + title: Google ASR (Large File) + description: |+ + This Voice microservice takes in the input audio file and supports recognizing a short speech . + The server returns the recognition result in a JSON format as a response. + - Supports the following audio coding formats: WAV, MP3 + For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + * **Supported Languages:** + + | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | + |:-------------------------------------------:|:--------------------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| + | Afrikaans (South Africa) | af-ZA | No | Yes | No | No | + | Albanian (Albania) | sq-AL | No | Yes | No | No | + | Amharic (Ethiopia) | am-ET | No | Yes | No | No | + | Arabic (Algeria) | ar-DZ | No | Yes | No | No | + | Arabic (Bahrain) | ar-BH | No | Yes | No | No | + | Arabic (Egypt) | ar-EG | No | Yes | No | No | + | Arabic (Iraq) | ar-IQ | No | Yes | No | No | + | Arabic (Israel) | ar-IL | No | Yes | No | No | + | Arabic (Jordan) | ar-JO | No | Yes | No | No | + | Arabic (Kuwait) | ar-KW | No | Yes | No | No | + | Arabic (Lebanon) | ar-LB | No | Yes | No | No | + | Arabic (Morocco) | ar-MA | No | Yes | No | No | + | Arabic (Oman) | ar-OM | No | Yes | No | No | + | Arabic (Qatar) | ar-QA | No | Yes | No | No | + | Arabic (Saudi Arabia) | ar-SA | No | Yes | No | No | + | Arabic (State of Palestine) | ar-PS | No | Yes | No | No | + | Arabic (Tunisia) | ar-TN | No | Yes | No | No | + | Arabic (United Arab Emirates) | ar-AE | No | Yes | No | No | + | Arabic (Yemen) | ar-YE | No | Yes | No | No | + | Armenian (Armenia) | hy-AM | No | Yes | No | No | + | Azerbaijani (Azerbaijan) | az-AZ | No | Yes | No | No | + | Basque (Spain) | eu-ES | No | Yes | No | No | + | Bengali (Bangladesh) | bn-BD | No | Yes | No | No | + | Bengali (India) | bn-IN | No | Yes | No | No | + | Bosnian (Bosnia and Herzegovina) | bs-BA | No | Yes | No | No | + | Bulgarian (Bulgaria) | bg-BG | No | Yes | No | No | + | Burmese (Myanmar) | my-MM | No | Yes | No | No | + | Catalan (Spain) | ca-ES | No | Yes | No | No | + | Chinese, Cantonese (Traditional Hong Kong) | yue-Hant-HK | No | Yes | No | No | + | Chinese, Mandarin (Simplified, China) | zh | Yes | Yes | No | No | + | Chinese, Mandarin (Traditional, Taiwan) | zh-TW | Yes | Yes | No | No | + | Croatian (Croatia) | hr-HR | No | Yes | No | No | + | Czech (Czech Republic) | cs-CZ | Yes | Yes | Yes | No | + | Danish (Denmark) | da-DK | Yes | Yes | Yes | No | + | Dutch (Belgium) | nl-BE | No | Yes | Yes | No | + | Dutch (Netherlands) | nl-NL | No | Yes | Yes | No | + | English (Australia) | en-AU | Yes | Yes | Yes | Yes | + | English (Canada) | en-CA | No | Yes | No | No | + | English (Ghana) | en-GH | No | Yes | Yes | No | + | English (Hong Kong) | en-HK | No | Yes | Yes | Yes | + | English (India) | en-IN | Yes | Yes | Yes | Yes | + | English (Ireland) | en-IE | No | Yes | Yes | Yes | + | English (Kenya) | en-KE | No | Yes | Yes | No | + | English (New Zealand) | en-NZ | No | Yes | Yes | Yes | + | English (Nigeria) | en-NG | No | Yes | Yes | No | + | English (Pakistan) | en-PK | No | Yes | Yes | Yes | + | English (Philippines) | en-PH | No | Yes | No | No | + | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | + | English (South Africa) | en-ZA | No | Yes | Yes | No | + | English (Tanzania) | en-TZ | No | Yes | Yes | No | + | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | + | English (United States) | en-US | Yes | Yes | Yes | Yes | + | Estonian (Estonia) | et-EE | No | Yes | No | No | + | Filipino (Philippines) | fil-PH | No | Yes | No | No | + | Finnish (Finland) | fi-FI | No | Yes | No | No | + | French (Belgium) | fr-BE | No | Yes | Yes | Yes | + | French (Canada) | fr-CA | No | Yes | Yes | No | + | French (France) | fr-FR | Yes | Yes | Yes | Yes | + | French (Switzerland) | fr-CH | No | Yes | Yes | Yes | + | Galician (Spain) | gl-ES | No | Yes | No | No | + | Georgian (Georgia) | ka-GE | No | Yes | No | No | + | German (Austria) | de-AT | No | Yes | Yes | No | + | German (Germany) | de-DE | Yes | Yes | Yes | No | + | German (Switzerland) | de-CH | No | Yes | Yes | No | + | Greek (Greece) | el-GR | No | Yes | No | No | + | Gujarati (India) | gu-IN | No | Yes | No | No | + | Hebrew (Israel) | iw-IL | No | Yes | Yes | No | + | Hindi (India) | hi-IN | No | Yes | Yes | No | + | Hungarian (Hungary) | hu-HU | No | Yes | No | No | + | Icelandic (Iceland) | is-IS | No | Yes | No | No | + | Indonesian (Indonesia) | id-ID | Yes | Yes | Yes | No | + | Italian (Italy) | it-IT | Yes | Yes | Yes | No | + | Italian (Switzerland) | it-CH | No | Yes | Yes | No | + | Japanese (Japan) | ja-JP | Yes | Yes | Yes | No | + | Javanese (Indonesia) | jv-ID | No | Yes | No | No | + | Kannada (India) | kn-IN | No | Yes | No | No | + | Kazakh (Kazakhstan) | kk-KZ | No | Yes | No | No | + | Khmer (Cambodia) | km-KH | No | Yes | No | No | + | Korean (South Korea) | ko-KR | Yes | Yes | Yes | Yes | + | Lao (Laos) | lo-LA | No | Yes | No | No | + | Latvian (Latvia) | lv-LV | No | Yes | No | No | + | Lithuanian (Lithuania) | lt-LT | No | Yes | No | No | + | Macedonian (North Macedonia) | mk-MK | No | Yes | No | No | + | Malay (Malaysia) | ms-MY | No | Yes | No | No | + | Malayalam (India) | ml-IN | No | Yes | No | No | + | Marathi (India) | mr-IN | No | Yes | No | No | + | Mongolian (Mongolia) | mn-MN | No | Yes | No | No | + | Nepali (Nepal) | ne-NP | No | Yes | No | No | + | Norwegian Bokmål (Norway) | no-NO | No | Yes | Yes | No | + | Persian (Iran) | fa-IR | No | Yes | No | No | + | Polish (Poland) | pl-PL | No | Yes | Yes | No | + | Portuguese (Brazil) | pt-BR | No | Yes | Yes | No | + | Portuguese (Portugal) | pt-PT | No | Yes | Yes | No | + | Punjabi (Gurmukhi India) | pa-Guru-IN | No | Yes | Yes | No | + | Romanian (Romania) | ro-RO | No | Yes | No | No | + | Russian (Russia) | ru-RU | No | Yes | Yes | No | + | Serbian (Serbia) | sr-RS | No | Yes | No | No | + | Sinhala (Sri Lanka) | si-LK | No | Yes | No | No | + | Slovak (Slovakia) | sk-SK | No | Yes | No | No | + | Slovenian (Slovenia) | sl-SI | No | Yes | No | No | + | Spanish (Argentina) | es-AR | No | Yes | Yes | No | + | Spanish (Bolivia) | es-BO | No | Yes | Yes | No | + | Spanish (Chile) | es-CL | No | Yes | Yes | No | + | Spanish (Colombia) | es-CO | No | Yes | Yes | No | + | Spanish (Costa Rica) | es-CR | No | Yes | Yes | No | + | Spanish (Dominican Republic) | es-DO | No | Yes | Yes | No | + | Spanish (Ecuador) | es-EC | No | Yes | Yes | No | + | Spanish (El Salvador) | es-SV | No | Yes | Yes | No | + | Spanish (Guatemala) | es-GT | No | Yes | Yes | No | + | Spanish (Honduras) | es-HN | No | Yes | Yes | No | + | Spanish (Mexico) | es-MX | No | Yes | Yes | No | + | Spanish (Nicaragua) | es-NI | No | Yes | Yes | No | + | Spanish (Panama) | es-PA | No | Yes | Yes | No | + | Spanish (Paraguay) | es-PY | No | Yes | Yes | No | + | Spanish (Peru) | es-PE | No | Yes | Yes | No | + | Spanish (Puerto Rico) | es-PR | No | Yes | Yes | No | + | Spanish (Spain) | es-ES | No | Yes | Yes | No | + | Spanish (United States) | es-US | Yes | Yes | Yes | No | + | Spanish (Uruguay) | es-UY | No | Yes | Yes | No | + | Spanish (Venezuela) | es-VE | No | Yes | Yes | No | + | Sundanese (Indonesia) | su-ID | No | Yes | No | No | + | Swahili (Kenya) | sw-KE | No | Yes | No | No | + | Swahili (Tanzania) | sw-TZ | No | Yes | No | No | + | Swedish (Sweden) | sv-SE | Yes | Yes | Yes | No | + | Tamil (India) | ta-IN | No | Yes | No | No | + | Tamil (Malaysia) | ta-MY | No | Yes | No | No | + | Tamil (Singapore) | ta-SG | No | Yes | No | No | + | Tamil (Sri Lanka) | ta-LK | No | Yes | No | No | + | Telugu (India) | te-IN | No | Yes | No | No | + | Thai (Thailand) | th-TH | No | Yes | No | No | + | Turkish (Turkey) | tr-TR | Yes | Yes | Yes | No | + | Ukrainian (Ukraine) | uk-UA | No | Yes | No | No | + | Urdu (India) | ur-IN | No | Yes | No | No | + | Urdu (Pakistan) | ur-PK | No | Yes | No | No | + | Uzbek (Uzbekistan) | uz-UZ | No | Yes | No | No | + | Vietnamese (Vietnam) | vi-VN | No | Yes | No | No | + | Zulu (South Africa) | zu-ZA | No | Yes | No | No | + version: '1.0.0' + x-subscribelink: google_asr + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 1GB/File. + x-inputfilelimit: |+ + Process up to 1 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 1 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Jun 20, 2022" +paths: + /async/microservices/voice/googleasr/v1/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T044135Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 + x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f + x-goog-signature: >- + 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 + jid: e4ff367c93664fb9acfa40d9a4c6e43f + request_cost: 0.3323 + url: 'https://storage.googleapis.com/lp_user_space_prod/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/lp_user_space_prod/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/googleasr/v1/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 20, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.3323 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/lp_user_space_prod/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 20, 2022 + x-details: Initial version release + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 11, 2022 + x-details: Initial version release + description: Old Version + input: + type: object + required: + - file_name + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: '4 test.wav' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'audio/wav' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + ["audio/wav","audio/mpeg"] + additional_param: + x-name: additional_param + type: object + default: true + properties: + language_code: + x-name: language_code + type: string + default: true + example: en-US + description: |+ + Specify the language code of the input audio. + word_level: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable word time offsets during post-processing. Valid values - True and False. Default value - False. + automatic_punctuation: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable automatic punctuation during post-processing. Valid values - True and False. Default value - False. + profanity_filter: + type: boolean + default: false + example: false + description: |+ + Specifies whether to add profanity filter during post-processing. Valid Values - True and False. Default value - False. + spoken_punctuation: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + spoken_emojis: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + uploadinput: + type: object + required: + - filePath + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: audio/wav + description: Fields + key: + type: string + default: false + example: 309/495/lp-vadasr/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 309 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 495 + description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From c66c8d4ffa31eb561df4e2ba10705a9e14c0f8d7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 11:39:56 +0530 Subject: [PATCH 4596/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 176dc92ee..3040810ce 100644 --- a/index.yaml +++ b/index.yaml @@ -83,7 +83,8 @@ voice: google_asr_large_file: title: Google ASR (Large File) versions: - 0.1.0: 'google_asr_large_file.yaml' + 1.0.0: 'google_asr_large_file.yaml' + 0.1.0: 'google_asr_large_file_v0.yaml' speaker_diarization: title: Speaker Diarization versions: From d35f897713027f4cf6e8179845a607ed8b1d3c7c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 14:01:34 +0530 Subject: [PATCH 4597/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 2adbb9c22..9ba72e633 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -19,10 +19,10 @@ info: x-apidetailsdesc: |+ Generate Date from String. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.3.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/dateresolution/v0/getresults: post: @@ -233,7 +233,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Patch release description: Latest Version v0.2.0: From c3b62f271980601db77d5258464aeb1053932817 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 14:02:17 +0530 Subject: [PATCH 4598/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index f8f9473f8..02741c284 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -22,10 +22,10 @@ info: x-apidetailsdesc: |+ Generates a Public and Private key pair based on byte-length [1 to 5] servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/rsagetkeys/v1/getresults: post: @@ -221,7 +221,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Major version release description: Latest Version v0.1.1: From 3fdb304c1f5d4c8667df0d606ddd99354c0fa0c2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 14:02:46 +0530 Subject: [PATCH 4599/5916] Update encryption_using_pki_key.yaml --- utility/encryption_using_pki_key.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key.yaml index 06326dfde..fbfa195cd 100644 --- a/utility/encryption_using_pki_key.yaml +++ b/utility/encryption_using_pki_key.yaml @@ -26,10 +26,10 @@ info: x-apidetailsdesc: |+ Encrypt text to encoded string by public key. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/rsaencode/v1/getresults: post: @@ -227,7 +227,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Major version release description: Latest Version v0.1.0: From 1287a41434d8f99e737eb6505597d3c46a359c0a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 14:03:18 +0530 Subject: [PATCH 4600/5916] Update decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index 92942b46a..c57e60353 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -26,10 +26,10 @@ info: x-apidetailsdesc: |+ Decrypt encoded string to text by private key. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/rsadecode/v1/getresults: post: @@ -214,7 +214,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Major version release description: Latest Version v0.1.0: From 7fcb8011ac9e6c191ba7d39480330dd2cb652981 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 15:18:51 +0530 Subject: [PATCH 4601/5916] Update get_ip.yaml --- utility/get_ip.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index 759d9202e..21aab69da 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -23,10 +23,10 @@ info: x-apidetailsdesc: |+ Locates and Identifies website visitors by IP servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/getip/v0/getresults: get: @@ -160,7 +160,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Patch release description: Latest Version v0.1.0: From 341a695b51ad7d02bea1bd33d8afbacdb8969fd7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 15:19:13 +0530 Subject: [PATCH 4602/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index 01c06ffbc..90847ad5f 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Converts any audio format to wav file. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/audioprocessing/v1/getresults: post: @@ -218,7 +218,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Major version release description: Latest Version v0.1.1: From c0502f8053238c35c373211973e4d6b8c90e2eef Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 15:19:53 +0530 Subject: [PATCH 4603/5916] Update newspaper_article_scraper.yaml --- utility/newspaper_article_scraper.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/newspaper_article_scraper.yaml b/utility/newspaper_article_scraper.yaml index fdf7e6cc7..6694e348d 100644 --- a/utility/newspaper_article_scraper.yaml +++ b/utility/newspaper_article_scraper.yaml @@ -26,10 +26,10 @@ info: x-apidetailsdesc: |+ Extracts and Curates articles from news URL. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/newsarticle/v1/getresults: post: @@ -317,7 +317,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Major version release description: Latest Version v0.1.0: From 826e8bbc664d38973e293312a236cdbdf73f3ead Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 15:20:28 +0530 Subject: [PATCH 4604/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index 5273e65ce..f4d3be46c 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -25,10 +25,10 @@ info: x-apidetailsdesc: |+ Extract Image from video file. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/videotoimage/v1/getresults: post: @@ -238,7 +238,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Major version release description: Latest Version v0.1.0: From d69c07a0a30514e1745188b8468fbcb304d376a9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 15:21:00 +0530 Subject: [PATCH 4605/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index fbe372e00..4fb49b93a 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -74,10 +74,10 @@ info: x-apidetailsdesc: |+ Extracts content or specific HTML elements from the input URL. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/webscraping/v2/getresults: post: @@ -297,7 +297,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Major version update description: Latest Version v1.1.1: From b898a888b0c19ec0a57a2dec793385529a10db84 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 20 Jun 2022 15:21:27 +0530 Subject: [PATCH 4606/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index 3b128c341..112f8d671 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Provide Wikipedia article based on the input keyword. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jun 10, 2022" + description: "Published Date - Jun 20, 2022" paths: /microservices/utility/wikipedia/v2/getresults: post: @@ -317,7 +317,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Major version update description: Latest Version v1.0.0: From fb8844750a4ee62c360b94f73cbb6f322383b121 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 15:34:55 +0530 Subject: [PATCH 4607/5916] Update google_asr_large_file_v0.yaml --- voice/google_asr_large_file_v0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file_v0.yaml b/voice/google_asr_large_file_v0.yaml index 707329b24..72e0bd37b 100644 --- a/voice/google_asr_large_file_v0.yaml +++ b/voice/google_asr_large_file_v0.yaml @@ -167,7 +167,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 15, 2022" From e533e4c1e2a44b9080fce028515e89f181b57fb1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 15:44:23 +0530 Subject: [PATCH 4608/5916] Update google_asr_large_file_v0.yaml --- voice/google_asr_large_file_v0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file_v0.yaml b/voice/google_asr_large_file_v0.yaml index 72e0bd37b..707329b24 100644 --- a/voice/google_asr_large_file_v0.yaml +++ b/voice/google_asr_large_file_v0.yaml @@ -167,7 +167,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 15, 2022" From 8f09765a9d375df63c46447972d024bfee329c0f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 17:02:41 +0530 Subject: [PATCH 4609/5916] Update automatic_speech_recognition_chi_large_file.yaml --- ...tic_speech_recognition_chi_large_file.yaml | 20 +++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index eb364f569..f0d73c8b5 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -7,7 +7,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - version: '0.1.1' + version: '0.1.2' x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html x-subscribelink: automatic_speech_recognition_chi @@ -27,15 +27,15 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - Jun 10, 2022" +- name: "v0.1.2" + description: "Published Date - Jun 20, 2022" paths: /async/microservices/voice/asrsch/v0/getuploadurl: description: |+ Get the pre-signed url to upload the file. post: tags: - - v0.1.1 + - v0.1.2 responses: '200': description: Ok @@ -409,14 +409,22 @@ components: versions: type: object properties: - v0.1.1: + v0.1.2: type: array items: oneOf: - type: string - example: Published Date - Jun 10, 2022 + example: Published Date - Jun 20, 2022 x-details: Latest Version description: Latest Version + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 10, 2022 + x-details: Archived + description: Archived v0.1.0: type: array items: From d28c45ebebdbdf8c607f10d68257c507c47847fb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 17:03:35 +0530 Subject: [PATCH 4610/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 3040810ce..a2675a2d1 100644 --- a/index.yaml +++ b/index.yaml @@ -96,7 +96,7 @@ voice: automatic_speech_recognition_chi_large_file: title: Automatic Speech Recognition CHI (Large File) versions: - 0.1.0: 'automatic_speech_recognition_chi_large_file.yaml' + 0.1.2: 'automatic_speech_recognition_chi_large_file.yaml' asr_en_unified: title: ASR EN Unified versions: From c873ed5e48d3c9bf994c36762cb187fb7ac748c9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 17:06:45 +0530 Subject: [PATCH 4611/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index f0d73c8b5..0f1f7c53a 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -415,7 +415,7 @@ components: oneOf: - type: string example: Published Date - Jun 20, 2022 - x-details: Latest Version + x-details: Output Parameters Aligned description: Latest Version v0.1.1: type: array @@ -423,7 +423,7 @@ components: oneOf: - type: string example: Published Date - Jun 10, 2022 - x-details: Archived + x-details: New Parameter Added description: Archived v0.1.0: type: array From c50d20c65663356b9655517127fc76939aaba7a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 17:08:30 +0530 Subject: [PATCH 4612/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 0f1f7c53a..50f6fa068 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -9,7 +9,7 @@ info: - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. version: '0.1.2' x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. x-subscribelink: automatic_speech_recognition_chi x-apitype: large file x-apitypedescription: |+ From cd8415d3c7368a56a704d77d175c16fcf898ad15 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 17:09:09 +0530 Subject: [PATCH 4613/5916] Update google_asr_large_file_v0.yaml --- voice/google_asr_large_file_v0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file_v0.yaml b/voice/google_asr_large_file_v0.yaml index 707329b24..7c0aa6f40 100644 --- a/voice/google_asr_large_file_v0.yaml +++ b/voice/google_asr_large_file_v0.yaml @@ -7,7 +7,7 @@ info: - Supports the following audio coding formats: WAV, MP3 For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. * **Supported Languages:** | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | From 8e91379e75b7643451e4299e20bdde6148894907 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 20 Jun 2022 17:09:40 +0530 Subject: [PATCH 4614/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index cb7e08d08..628ebfda1 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -7,7 +7,7 @@ info: - Supports the following audio coding formats: WAV, MP3 For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. * **Supported Languages:** | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | From 792b71e4bdc73ef73e8138b702398f461267c593 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 22 Jun 2022 12:40:30 +0530 Subject: [PATCH 4615/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index 29cbb3c97..e1a34bf82 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -544,7 +544,7 @@ components: num_harmonics: type: number description: |+ - Harmonic number (parameter tuning for FFT) + Harmonic number (parameter tuning for FFT). Optional parameter. The default value is 10. example: 10 arimainput: type: object @@ -629,8 +629,8 @@ components: seasonal_cycle: type: number description: |+ - The number of data points that is required for it to complete one seasonal cycle, e.g., the value will be 7 if the data is daily and the seasonal cycle happens weekly; the value will be 12 if the data is monthly and the seasonal cycle happens every year. - example: 2 + Optional parameter. The default value is 7. The number of data points that is required for it to complete one seasonal cycle, e.g., the value will be 7 if the data is daily and the seasonal cycle happens weekly; the value will be 12 if the data is monthly and the seasonal cycle happens every year. + example: 7 securitySchemes: APIAuthorizer: type: apiKey From 6dcf42c830d3e7f78bd591c0e5dbc3bd38f501e2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Jun 2022 09:21:49 +0530 Subject: [PATCH 4616/5916] Create ser.yaml --- voice/ser.yaml | 280 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 280 insertions(+) create mode 100644 voice/ser.yaml diff --git a/voice/ser.yaml b/voice/ser.yaml new file mode 100644 index 000000000..7b1d7c298 --- /dev/null +++ b/voice/ser.yaml @@ -0,0 +1,280 @@ +openapi: 3.0.1 +info: + title: SER + description: |+ + This Voice microservice takes in an audio file (in WAV format at 16kHz) and return the emotional feeling of voice. + + This api supports upto 15 seconds audio file only. + version: '0.1.0' + x-apitype: small file + x-subscribelink: asr_en_unified + x-apitypedescription: |+ + Fast | Single-Call | 15 sec/Call + x-inputfilelimit: |+ + Process up to 15 seconds (1 minute) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 15 seconds (1 minute). + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Jun 23, 2022" +paths: + /microservices/voice/ser/v0/get_emotion: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + status: Success + message: Successfully Processed + results: + transcript: 'i want to apply for a credit farslidy to service my hish d v long ' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + emotion_label: + x-name: emotion_label + type: string + example: sad + description: Emotional Category + emotion_class_prob: + type: object + example: {} + description: Json Object of returned results + properties: + sad: + x-name: sad + type: float + example: 0.7688100337982178 + description: Sadness level + neutral: + x-name: neutral + type: float + example: 0.2058100337982178 + description: neutral level + fear: + x-name: fear + type: float + example: 0.258100337982178 + description: fear level + disgust: + x-name: disgust + type: float + example: 0.0008068166207522154 + description: disgust level + happy: + x-name: happy + type: float + example: 2.318515953447786e-06 + description: happy level + angry: + x-name: angry + type: float + example: 4.971233238393324e-07 + description: angry level + surprise: + x-name: surprise + type: float + example: 1.6515599779616445e-18 + description: surprise level + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - file_path + properties: + file_path: + type: file + format: binary + default: true + example: sample.wav + description: |+ + Maximum Limit upto 15 seconds of audio wav file. + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 23, 2022 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 0ded68684868fc46105cbd9abfdd42b410417b2c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Jun 2022 09:22:27 +0530 Subject: [PATCH 4617/5916] Update index.yaml --- index.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index a2675a2d1..b6b060db4 100644 --- a/index.yaml +++ b/index.yaml @@ -100,7 +100,11 @@ voice: asr_en_unified: title: ASR EN Unified versions: - 0.1.0: 'asr_en_unified.yaml' + 0.1.0: 'asr_en_unified.yaml' + ser: + title: SER + versions: + 0.1.0: 'ser.yaml' nlp: kyc: title: KYC From 297844a5f880a80278646132a3e3270523ba35f5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Jun 2022 10:34:51 +0530 Subject: [PATCH 4618/5916] Update ser.yaml --- voice/ser.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/ser.yaml b/voice/ser.yaml index 7b1d7c298..d4060d824 100644 --- a/voice/ser.yaml +++ b/voice/ser.yaml @@ -4,7 +4,7 @@ info: description: |+ This Voice microservice takes in an audio file (in WAV format at 16kHz) and return the emotional feeling of voice. - This api supports upto 15 seconds audio file only. + This api supports upto 30 seconds audio file only. version: '0.1.0' x-apitype: small file x-subscribelink: asr_en_unified From b80d6a7b6e08addb43c37845592ad7c622888e34 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Jun 2022 10:39:27 +0530 Subject: [PATCH 4619/5916] Update ser.yaml --- voice/ser.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/ser.yaml b/voice/ser.yaml index d4060d824..2fefbabb2 100644 --- a/voice/ser.yaml +++ b/voice/ser.yaml @@ -259,7 +259,7 @@ components: default: true example: sample.wav description: |+ - Maximum Limit upto 15 seconds of audio wav file. + Maximum Limit upto 30 seconds of audio wav file. versions: type: object properties: @@ -270,7 +270,7 @@ components: - type: string example: Published Date - Jun 23, 2022 x-details: Initial version release - description: Latest Version + description: Initial Version securitySchemes: APIAuthorizer: type: apiKey From 07da3542586264a6b6c619a6955090104dff68ca Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 10:51:03 +0530 Subject: [PATCH 4620/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 1b6f13466..30fe8ea15 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -47,7 +47,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.0.0' + version: '2.1.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -64,13 +64,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - Apr 08, 2022" +- name: "v2.1.0" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/hardcourt/v2/getdata: post: tags: - - v2.0.0 + - v2.1.0 responses: '200': description: Ok @@ -365,6 +365,14 @@ components: versions: type: object properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Data structure changed + description: Latest Version v2.0.0: type: array items: @@ -372,7 +380,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Latest Version + description: Archived v1.0.0: type: array items: From 830cd585595ab7c9f5ee97592acf7dc90116fab3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 10:57:29 +0530 Subject: [PATCH 4621/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 30fe8ea15..114ea8cc7 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -62,7 +62,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Jun 30, 2022" From 19d52126c0065d86917920f97cd5d109cff7f887 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 10:57:55 +0530 Subject: [PATCH 4622/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 114ea8cc7..30fe8ea15 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -62,7 +62,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Jun 30, 2022" From c89454330c7f8224cd99532f2e6ef63bbd7cbe07 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 11:06:20 +0530 Subject: [PATCH 4623/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 30fe8ea15..114ea8cc7 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -62,7 +62,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Jun 30, 2022" From af03557f66dfba8e345b8c491979ffc7e21da1dc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Jun 2022 11:30:58 +0530 Subject: [PATCH 4624/5916] Update and rename ser.yaml to speaker_emotion_recognition.yaml --- voice/{ser.yaml => speaker_emotion_recognition.yaml} | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) rename voice/{ser.yaml => speaker_emotion_recognition.yaml} (97%) diff --git a/voice/ser.yaml b/voice/speaker_emotion_recognition.yaml similarity index 97% rename from voice/ser.yaml rename to voice/speaker_emotion_recognition.yaml index 2fefbabb2..c67f95505 100644 --- a/voice/ser.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -1,23 +1,23 @@ openapi: 3.0.1 info: - title: SER + title: Speaker Emotion Recognition description: |+ This Voice microservice takes in an audio file (in WAV format at 16kHz) and return the emotional feeling of voice. This api supports upto 30 seconds audio file only. version: '0.1.0' x-apitype: small file - x-subscribelink: asr_en_unified + x-subscribelink: speaker_emotion_recognition x-apitypedescription: |+ - Fast | Single-Call | 15 sec/Call + Fast | Single-Call | 30 sec/Call x-inputfilelimit: |+ - Process up to 15 seconds (1 minute) of audio file. + Process up to 30 seconds (1 minute) of audio file. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 15 seconds (1 minute). + Limit cannot exceed 30 seconds (1 minute). x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: From 6d91b3f1d5140b28fb3739c0ea9c1ae44b468f08 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Jun 2022 11:32:24 +0530 Subject: [PATCH 4625/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index b6b060db4..b91cbaa19 100644 --- a/index.yaml +++ b/index.yaml @@ -101,10 +101,10 @@ voice: title: ASR EN Unified versions: 0.1.0: 'asr_en_unified.yaml' - ser: + speaker_emotion_recognition: title: SER versions: - 0.1.0: 'ser.yaml' + 0.1.0: 'speaker_emotion_recognition.yaml' nlp: kyc: title: KYC From 5cad693eec55f54df88d61781ce9829c2b0459f3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 11:40:49 +0530 Subject: [PATCH 4626/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 202389349..a327f2822 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -45,7 +45,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.0.0' + version: '2.1.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -60,15 +60,15 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - Apr 08, 2022" +- name: "v2.1.0" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/lamppost/v2/getdata: post: tags: - - v2.0.0 + - v2.1.0 responses: '200': description: Ok @@ -358,7 +358,15 @@ components: example: Failure versions: type: object - properties: + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Data structure changed + description: Latest Version v2.0.0: type: array items: @@ -366,7 +374,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Latest Version + description: Archived v1.0.0: type: array items: From 79ceebe8e36c4b1772306edbc822d621f9750399 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Jun 2022 11:42:58 +0530 Subject: [PATCH 4627/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index c67f95505..8de6a0f1e 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -26,7 +26,7 @@ tags: - name: "v0.1.0" description: "Published Date - Jun 23, 2022" paths: - /microservices/voice/ser/v0/get_emotion: + /microservices/voice/speakeremotion/v0/get_emotion: post: tags: - v0.1.0 From 2e9b6bdedc3020c9f3dd151cca2cb1cba5419fef Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Jun 2022 11:44:13 +0530 Subject: [PATCH 4628/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index b91cbaa19..52a7fbea6 100644 --- a/index.yaml +++ b/index.yaml @@ -102,7 +102,7 @@ voice: versions: 0.1.0: 'asr_en_unified.yaml' speaker_emotion_recognition: - title: SER + title: Speaker Emotion Recognition versions: 0.1.0: 'speaker_emotion_recognition.yaml' nlp: From 59cad50691d6ed03addebdef61b756e951be8f89 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 12:19:50 +0530 Subject: [PATCH 4629/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 2c90140ca..4ae4171a8 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -43,7 +43,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.0.0' + version: '2.1.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -58,15 +58,15 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - Apr 08, 2022" +- name: "v2.1.0" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/shelter/v2/getdata: post: tags: - - v2.0.0 + - v2.1.0 responses: '200': description: Ok @@ -364,7 +364,15 @@ components: example: Failure versions: type: object - properties: + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Data structure changed + description: Latest Version v2.0.0: type: array items: @@ -372,7 +380,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Latest Version + description: Archived v1.0.0: type: array items: From 1984b625401e4ed4f7fa86552f326f01a1fe2f02 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 12:28:01 +0530 Subject: [PATCH 4630/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- ...itness_stations_and_playgrounds_hdb_sg.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index fae70a349..92da88255 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -48,7 +48,7 @@ info: > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - version: 2.0.0 + version: 2.1.0 x-apitype: small file x-apitypedescription: | Fast | Single-Call | 10MB/Call @@ -63,15 +63,15 @@ info: x-apidetailsdesc: | Provides returns all road works being / to be carried out. servers: - - url: https://apis.sentient.io + - url: https://dev-apis.sentient.io tags: - - name: v2.0.0 + - name: v2.1.0 description: Published Date - Apr 08, 2022 paths: /microservices/data/fitnessstationplaygrnd/v2/getdata: post: tags: - - v2.0.0 + - v2.1.0 responses: '200': description: Ok @@ -371,6 +371,14 @@ components: versions: type: object properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Data structure changed + description: Latest Version v2.0.0: type: array items: @@ -378,7 +386,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Latest Version + description: Archived v1.0.0: type: array items: From a221f8e9499b88b0c46c2b33df6ac83319d7c9eb Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 12:35:32 +0530 Subject: [PATCH 4631/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 5f1a01f25..dcd6972eb 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -76,7 +76,7 @@ info: Using a filterdata only: > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - version: '1.0.0' + version: '1.1.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -91,15 +91,15 @@ info: x-apidetailsdesc: |+ Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" +- name: "v1.1.0" description: "Published Date - May 21, 2021" paths: /microservices/data/directories_searchbranch/v1/getdata: get: tags: - - v1.0.0 + - v1.1.0 parameters: - in: query name: querystring @@ -398,7 +398,15 @@ components: example: Failure versions: type: object - properties: + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2021 + x-details: Optimized release + description: Latest Version v1.0.0: type: array items: @@ -406,7 +414,7 @@ components: - type: string example: Published Date - May 21, 2021 x-details: Optimized release - description: Latest Version + description: Archived v0.1.0: type: array items: From ef9499116d24a97454605eedd1dfec1a95ef9482 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 12:48:48 +0530 Subject: [PATCH 4632/5916] Update index.yaml --- index.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/index.yaml b/index.yaml index 52a7fbea6..e305ed04c 100644 --- a/index.yaml +++ b/index.yaml @@ -366,6 +366,7 @@ data: building_addresses_hdb_sg: title: HDB Block Coordinates (SG) versions: + 1.1.0: 'building_addresses_hdb_sg.yaml' 1.0.0: 'building_addresses_hdb_sg.yaml' residential_sales_and_rental_hdb_sg: title: HDB Residential Occupancy Status (SG) @@ -394,21 +395,25 @@ data: fitness_stations_and_playgrounds_hdb_sg: title: HDB Fitness Stations and Playgrounds (SG) versions: + 2.1.0: 'fitness_stations_and_playgrounds_hdb_sg.yaml' 2.0.0: 'fitness_stations_and_playgrounds_hdb_sg.yaml' 1.0.0: 'fitness_stations_and_playgrounds_hdb_sg_v1.yaml' amenities_lamp_posts_hdb_sg: title: HDB Lamp Posts Locations (SG) versions: + 2.1.0: 'amenities_lamp_posts_hdb_sg.yaml' 2.0.0: 'amenities_lamp_posts_hdb_sg.yaml' 1.0.0: 'amenities_lamp_posts_hdb_sg_v1.yaml' amenities_hardcourts_hdb_sg: title: HDB Hardcourts Locations (SG) versions: + 2.1.0: 'amenities_hardcourts_hdb_sg.yaml' 2.0.0: 'amenities_hardcourts_hdb_sg.yaml' 1.0.0: 'amenities_hardcourts_hdb_sg_v1.yaml' amenities_shelters_hdb_sg: title: HDB Shelters Locations (SG) versions: + 2.1.0: 'amenities_shelters_hdb_sg.yaml' 2.0.0: 'amenities_shelters_hdb_sg.yaml' 1.0.0: 'amenities_shelters_hdb_sg_v1.yaml' d&b_business_check_plus_sg: From 87b7d49fb3c83a4cebb03e46b8c5e6645f7c48c6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 12:50:14 +0530 Subject: [PATCH 4633/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index e66f14da5..583d7881c 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -84,7 +84,7 @@ info: > querystring = "bishan street 22" > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} - version: '1.0.0' + version: '1.1.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -99,15 +99,15 @@ info: x-apidetailsdesc: |+ Retrieves Housing Development Board (HDB) carpark information. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" +- name: "v1.1.0" + description: "Published Date - Jun 30, 2021" paths: /microservices/data/carpark/v1/getdata: get: tags: - - v1.0.0 + - v1.1.0 parameters: - in: query name: querystring @@ -464,7 +464,15 @@ components: example: Failure versions: type: object - properties: + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30,2021 + x-details: Optimized release + description: Latest Version v1.0.0: type: array items: @@ -472,7 +480,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Latest Version + description: Archived v0.2.0: type: array items: From 91e19ed3a0e6a2e6fdf6f6b2b4a42aebd2e4d160 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 12:51:10 +0530 Subject: [PATCH 4634/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index dcd6972eb..bfd23347d 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -94,7 +94,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - May 21, 2021" + description: "Published Date - Jun 30, 2021" paths: /microservices/data/directories_searchbranch/v1/getdata: get: From 020643aeb539ad1cd58d54574e199408e561095c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 12:58:05 +0530 Subject: [PATCH 4635/5916] Update index.yaml --- index.yaml | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/index.yaml b/index.yaml index e305ed04c..038bb124a 100644 --- a/index.yaml +++ b/index.yaml @@ -367,7 +367,7 @@ data: title: HDB Block Coordinates (SG) versions: 1.1.0: 'building_addresses_hdb_sg.yaml' - 1.0.0: 'building_addresses_hdb_sg.yaml' + 1.0.0: 'building_addresses_hdb_sg_v1.yaml' residential_sales_and_rental_hdb_sg: title: HDB Residential Occupancy Status (SG) versions: @@ -375,7 +375,8 @@ data: carpark_hdb_sg: title: HDB Carpark Locations (SG) versions: - 1.0.0: 'carpark_hdb_sg.yaml' + 1.1.0: 'carpark_hdb_sg.yaml' + 1.0.0: 'carpark_hdb_sg_v1.yaml' demographics_hdb_sg: title: HDB Demographics (SG) versions: @@ -396,25 +397,25 @@ data: title: HDB Fitness Stations and Playgrounds (SG) versions: 2.1.0: 'fitness_stations_and_playgrounds_hdb_sg.yaml' - 2.0.0: 'fitness_stations_and_playgrounds_hdb_sg.yaml' + 2.0.0: 'fitness_stations_and_playgrounds_hdb_sg_v2.yaml' 1.0.0: 'fitness_stations_and_playgrounds_hdb_sg_v1.yaml' amenities_lamp_posts_hdb_sg: title: HDB Lamp Posts Locations (SG) versions: 2.1.0: 'amenities_lamp_posts_hdb_sg.yaml' - 2.0.0: 'amenities_lamp_posts_hdb_sg.yaml' + 2.0.0: 'amenities_lamp_posts_hdb_sg_v2.yaml' 1.0.0: 'amenities_lamp_posts_hdb_sg_v1.yaml' amenities_hardcourts_hdb_sg: title: HDB Hardcourts Locations (SG) versions: 2.1.0: 'amenities_hardcourts_hdb_sg.yaml' - 2.0.0: 'amenities_hardcourts_hdb_sg.yaml' + 2.0.0: 'amenities_hardcourts_hdb_sg_v2.yaml' 1.0.0: 'amenities_hardcourts_hdb_sg_v1.yaml' amenities_shelters_hdb_sg: title: HDB Shelters Locations (SG) versions: 2.1.0: 'amenities_shelters_hdb_sg.yaml' - 2.0.0: 'amenities_shelters_hdb_sg.yaml' + 2.0.0: 'amenities_shelters_hdb_sg_v2.yaml' 1.0.0: 'amenities_shelters_hdb_sg_v1.yaml' d&b_business_check_plus_sg: title: D&B Business Check Plus (SG) From 873997e794638c250dd8e53cd0685c8139f603f2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:09:10 +0530 Subject: [PATCH 4636/5916] Update and rename amenities_hardcourts_hdb_sg.yaml to amenities_hardcourts_hdb_sg_v2.yaml --- ...ml => amenities_hardcourts_hdb_sg_v2.yaml} | 20 ++++++------------- 1 file changed, 6 insertions(+), 14 deletions(-) rename data/{amenities_hardcourts_hdb_sg.yaml => amenities_hardcourts_hdb_sg_v2.yaml} (97%) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg_v2.yaml similarity index 97% rename from data/amenities_hardcourts_hdb_sg.yaml rename to data/amenities_hardcourts_hdb_sg_v2.yaml index 114ea8cc7..a76bee662 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg_v2.yaml @@ -47,7 +47,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.1.0' + version: '2.0.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -62,15 +62,15 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: -- name: "v2.1.0" +- name: "v2.0.0" description: "Published Date - Jun 30, 2022" paths: /microservices/data/hardcourt/v2/getdata: post: tags: - - v2.1.0 + - v2.0.0 responses: '200': description: Ok @@ -364,15 +364,7 @@ components: example: Failure versions: type: object - properties: - v2.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 30, 2022 - x-details: Data structure changed - description: Latest Version + properties: v2.0.0: type: array items: @@ -380,7 +372,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Archived + description: Latest Version v1.0.0: type: array items: From 456d60f8dda7bc06c26f6559d93c7ff315e391b6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:09:22 +0530 Subject: [PATCH 4637/5916] Create amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 432 ++++++++++++++++++++++++++ 1 file changed, 432 insertions(+) create mode 100644 data/amenities_hardcourts_hdb_sg.yaml diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml new file mode 100644 index 000000000..114ea8cc7 --- /dev/null +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -0,0 +1,432 @@ +openapi: 3.0.1 +info: + title: HDB Hardcourts Locations (SG) + x-subscribelink: amenities_hardcourts_hdb_sg + description: |+ + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and / or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the object. + + A successful call will return the results of the query in JSON format. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} + * **match** - Search within a full text field for a single word + > {"match":{"properties.quality":"FULLY VISIBLE"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"properties.featid"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "polygon", + "coordinates":[ [[ 103.757362163026585, 1.349439786854645 ], [ 103.757401139617556, 1.349479539383153 ], [ 103.757489093469715, 1.349395625337523 ], [ 103.757362163026585, 1.349439786854645 ] ]] + }, + "relation": "intersects" + } + } + } + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} + version: '2.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v2.1.0" + description: "Published Date - Jun 30, 2022" +paths: + /microservices/data/hardcourt/v2/getdata: + post: + tags: + - v2.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + _id: 3161fa9077473e138ed + _index: hdb_map_index + _score: 0 + _source: + geometry: + coordinates: + - 103.70325637102218 + - 1.340288655171077 + type: Polygon + geometry_type: Polygon + lastupdated: '2022-04-05T16:05:00.644Z' + properties: + featid: 316 + fmel_upd_d: '2018-06-29' + inc_crc: 1FA9077473E138ED + lvl: GROUND LEVEL + quality: FULLY VISIBLE + type: FITNESS STATION / PLAYGROUND + _type: _doc + max_score: 0 + total: + relation: eq + value: 3118 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status. + status: + type: string + example: Success + description: The status of the API call - Success/Failure. + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id + results: + type: object + example: {} + description: Json object of the returned results. + properties: + max_score: + type: number + format: float + example: 0.9 + description: The highest score value. + total: + type: object + example: {} + description: Json object of returned total. + properties: + relation: + type: string + example: eq + description: Relation between total counts and display result count. + value: + type: integer + format: int32 + example: 1 + description: Total number of records. + hits: + type: array + example: [{} + description: Json object of returned hits. + properties: + properties: + type: object + example: {} + description: Json object of returned results. + properties: + featid: + type: integer + example: 128 + description: Properties FEATID + lvl: + type: string + example: "GROUND LEVEL" + description: Properties Level + quality: + type: string + example: "FULLY VISIBLE" + description: Quality of Properties. + type: + type: string + example: "HARDCOURT" + description: Property Types. + inc_crc: + type: string + example: "6CBA10726FCF8D23" + description: INC_CRC + fmel_upd_d: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: geo_shape + description: Location coordinates and its type. + example: {"type": "Polygon", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + geometry_type: + type: string + description: Type of Geometry Coordinates. + example: "Polygon" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Data structure changed + description: Latest Version + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 08, 2022 + x-details: Data structure changed + description: Archived + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] + description: |+ + A list of filters to refine the search further. Default response returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From fa479180528f897890ead06b3a46e7be2a331748 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:10:44 +0530 Subject: [PATCH 4638/5916] Update and rename amenities_lamp_posts_hdb_sg.yaml to amenities_lamp_posts_hdb_sg_v2.yaml --- ...aml => amenities_lamp_posts_hdb_sg_v2.yaml} | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) rename data/{amenities_lamp_posts_hdb_sg.yaml => amenities_lamp_posts_hdb_sg_v2.yaml} (97%) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg_v2.yaml similarity index 97% rename from data/amenities_lamp_posts_hdb_sg.yaml rename to data/amenities_lamp_posts_hdb_sg_v2.yaml index a327f2822..3c1c487eb 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg_v2.yaml @@ -45,7 +45,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.1.0' + version: '2.0.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -60,15 +60,15 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: -- name: "v2.1.0" +- name: "v2.0.0" description: "Published Date - Jun 30, 2022" paths: /microservices/data/lamppost/v2/getdata: post: tags: - - v2.1.0 + - v2.0.0 responses: '200': description: Ok @@ -359,14 +359,6 @@ components: versions: type: object properties: - v2.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 30, 2022 - x-details: Data structure changed - description: Latest Version v2.0.0: type: array items: @@ -374,7 +366,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Archived + description: Latest Version v1.0.0: type: array items: From baff1925a53bfc28cd3a05cf1ef4e7d189445090 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:11:22 +0530 Subject: [PATCH 4639/5916] Create amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 427 ++++++++++++++++++++++++++ 1 file changed, 427 insertions(+) create mode 100644 data/amenities_lamp_posts_hdb_sg.yaml diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml new file mode 100644 index 000000000..5f1724431 --- /dev/null +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -0,0 +1,427 @@ +openapi: 3.0.1 +info: + title: HDB Lamp Posts Locations (SG) + x-subscribelink: amenities_lamp_posts_hdb_sg + description: |+ + This Data microservice returns the indicative locations of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format. + + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + + x-additionalinfo : |+ + **Match types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} + * **match** - Search within a full text field for a single word + > {"match":{"properties.quality":"FULLY VISIBLE"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. + >{ + "geo_shape": { + "geometry": { + "shape": { + "type": "Point", + "coordinates":[ 103.909244012548825, 1.330939965513429 ] + }, + "relation": "disjoint" + } + } + } + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"properties.featid"}} + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}}]}} + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} + version: '2.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v2.1.0" + description: "Published Date - Jun 30, 2022" +paths: + /microservices/data/lamppost/v2/getdata: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + - _id: 8893890212d4766fe20d + _index: hdb_map_index + _score: 0 + _source: + geometry: + coordinates: + - 103.91016904258795 + - 1.329420542256962 + type: Point + geometry_type: Point + lastupdated: '2022-04-05T16:09:49.832Z' + properties: + featid: 8893 + fmel_upd_d: '2018-06-29' + inc_crc: 890212D4766FE20D + lvl: GROUND LEVEL + quality: FULLY VISIBLE + type: LAMP POST + _type: _doc + max_score: 0 + total: + relation: eq + value: 23431 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGUWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - Success/Failure + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id + results: + type: object + example: {} + description: Json Object of returned results + properties: + max_score: + type: float + example: 0.9 + description: The highest score value + total: + type: object + example: {} + description: Json Object of returned total + properties: + relation: + type: string + example: eq + description: Realtion between total counts and display result count. + value: + type: number + example: 1 + description: Total number of records + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + properties: + type: object + example: {} + description: Json Object of returned results + properties: + featid: + type: number + example: 128 + description: Properties FEATID + lvl: + type: string + example: "GROUND LEVEL" + description: Properties Level + quality: + type: string + example: "FULLY VISIBLE" + description: Quality of Properties + type: + type: string + example: "LAMP POST" + description: Property Types + inc_crc: + type: string + example: "6CBA10726FCF8D23" + description: INC_CRC + fmel_upd_d: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: geo_shape + description: Location coordinates and its type + example: {"type": "Point", "coordinates": [[103.8300615, 1.3060184]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + geometry_type: + type: string + description: Type of Geometry Coordinates + example: "Point" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Data structure changed + description: Latest Version + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 08, 2022 + x-details: Data structure changed + description: Archived + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From e28217e2f8b6ebfc735fbad8bb25eede4cd237c2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:13:37 +0530 Subject: [PATCH 4640/5916] Update and rename amenities_shelters_hdb_sg.yaml to amenities_shelters_hdb_sg_v2.yaml --- ....yaml => amenities_shelters_hdb_sg_v2.yaml} | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) rename data/{amenities_shelters_hdb_sg.yaml => amenities_shelters_hdb_sg_v2.yaml} (98%) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg_v2.yaml similarity index 98% rename from data/amenities_shelters_hdb_sg.yaml rename to data/amenities_shelters_hdb_sg_v2.yaml index 4ae4171a8..57e56531a 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg_v2.yaml @@ -43,7 +43,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.1.0' + version: '2.0.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -58,15 +58,15 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: -- name: "v2.1.0" +- name: "v2.0.0" description: "Published Date - Jun 30, 2022" paths: /microservices/data/shelter/v2/getdata: post: tags: - - v2.1.0 + - v2.0.0 responses: '200': description: Ok @@ -365,14 +365,6 @@ components: versions: type: object properties: - v2.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 30, 2022 - x-details: Data structure changed - description: Latest Version v2.0.0: type: array items: @@ -380,7 +372,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Archived + description: Latest Version v1.0.0: type: array items: From a7d44f203c83df5d70a51f08c04dc16543e3e769 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:14:00 +0530 Subject: [PATCH 4641/5916] Create amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 433 ++++++++++++++++++++++++++++ 1 file changed, 433 insertions(+) create mode 100644 data/amenities_shelters_hdb_sg.yaml diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml new file mode 100644 index 000000000..4ae4171a8 --- /dev/null +++ b/data/amenities_shelters_hdb_sg.yaml @@ -0,0 +1,433 @@ +openapi: 3.0.1 +info: + title: HDB Shelters Locations (SG) + x-subscribelink: amenities_shelters_hdb_sg + description: |+ + This Data microservice returns the indicative outline of shelters for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and/or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + x-additionalinfo : |+ + **Match types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} + * **match** - Search within a full text field for a single word + > {"match":{"properties.quality":"FULLY VISIBLE"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"properties.featid"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "polygon", + "coordinates":[ [[ 103.757362163026585, 1.349439786854645 ], [ 103.757401139617556, 1.349479539383153 ], [ 103.757489093469715, 1.349395625337523 ], [ 103.757362163026585, 1.349439786854645 ] ]] + }, + "relation": "intersects" + } + } + } + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} + version: '2.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v2.1.0" + description: "Published Date - Jun 30, 2022" +paths: + /microservices/data/shelter/v2/getdata: + post: + tags: + - v2.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + - _id: 340461a6a0c72740ed + _index: hdb_map_index + _score: 0 + _source: + geometry: + coordinates: + - 103.83591962785529 + 1.381192407476683 + - 103.83599688718462 + 1.381088400081616 + - 103.83589434536609 + 1.381011246171939 + - 103.83581708693336 + 1.381115253563739 + - 103.83591962785529 + 1.381192407476683 + type: Polygon + geometry_type: Polygon + lastupdated: '2022-04-05T16:36:15.538Z' + properties: + featid: 34 + fmel_upd_d: '2018-06-29' + inc_crc: 0461A6A0C72740ED + lvl: GROUND LEVEL + quality: FULLY VISIBLE + type: SHELTER + _type: _doc + max_score: 0 + total: + relation: eq + value: 1582 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGsWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABG4WdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABG8WdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGwWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABG0WdjVWcXJXaVhRaXVaQzBma19Jckthdw== + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - Success/Failure + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id + results: + type: object + example: {} + description: Json Object of returned results + properties: + max_score: + type: float + example: 0.9 + description: The highest score value + total: + type: object + example: {} + description: Json Object of returned total + properties: + relation: + type: string + example: eq + description: Relation between total counts and display result count. + value: + type: number + example: 1 + description: Total number of records + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + properties: + type: object + example: {} + description: Json Object of returned results + properties: + featid: + type: number + example: 128 + description: Properties FEATID + lvl: + type: string + example: "GROUND LEVEL" + description: Properties Level + quality: + type: string + example: "FULLY VISIBLE" + description: Quality of Properties + type: + type: string + example: "SHELTER" + description: Property Types + inc_crc: + type: string + example: "6CBA10726FCF8D23" + description: INC_CRC + fmel_upd_d: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: geo_shape + description: Location coordinates and its type + example: {"type": "Polygon", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + geometry_type: + type: string + description: Type of Geometry Coordinates + example: "Polygon" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Data structure changed + description: Latest Version + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 08, 2022 + x-details: Data structure changed + description: Archived + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] + description: |+ + Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 3868698c783348edf425d9f3c9d543eacaf66fa9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:16:21 +0530 Subject: [PATCH 4642/5916] Update and rename building_addresses_hdb_sg.yaml to building_addresses_hdb_sg_v1.yaml --- ....yaml => building_addresses_hdb_sg_v1.yaml} | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) rename data/{building_addresses_hdb_sg.yaml => building_addresses_hdb_sg_v1.yaml} (95%) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg_v1.yaml similarity index 95% rename from data/building_addresses_hdb_sg.yaml rename to data/building_addresses_hdb_sg_v1.yaml index bfd23347d..e0d870625 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg_v1.yaml @@ -76,7 +76,7 @@ info: Using a filterdata only: > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - version: '1.1.0' + version: '1.0.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -91,10 +91,10 @@ info: x-apidetailsdesc: |+ Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" - description: "Published Date - Jun 30, 2021" +- name: "v1.0.0" + description: "Published Date - May 21, 2021" paths: /microservices/data/directories_searchbranch/v1/getdata: get: @@ -399,14 +399,6 @@ components: versions: type: object properties: - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 30, 2021 - x-details: Optimized release - description: Latest Version v1.0.0: type: array items: @@ -414,7 +406,7 @@ components: - type: string example: Published Date - May 21, 2021 x-details: Optimized release - description: Archived + description: Latest Version v0.1.0: type: array items: From 3e5c9b262ee0d05c76ad324121bd0cd47012cc4e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:17:14 +0530 Subject: [PATCH 4643/5916] Update amenities_hardcourts_hdb_sg_v2.yaml --- data/amenities_hardcourts_hdb_sg_v2.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg_v2.yaml b/data/amenities_hardcourts_hdb_sg_v2.yaml index a76bee662..c9f8283a9 100644 --- a/data/amenities_hardcourts_hdb_sg_v2.yaml +++ b/data/amenities_hardcourts_hdb_sg_v2.yaml @@ -65,7 +65,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Apr 08, 2022" paths: /microservices/data/hardcourt/v2/getdata: post: From fc3ef2c8e96e1de9a248adba60482e77656a134b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:17:49 +0530 Subject: [PATCH 4644/5916] Create building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 432 ++++++++++++++++++++++++++++ 1 file changed, 432 insertions(+) create mode 100644 data/building_addresses_hdb_sg.yaml diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml new file mode 100644 index 000000000..5ea854f7a --- /dev/null +++ b/data/building_addresses_hdb_sg.yaml @@ -0,0 +1,432 @@ +openapi: 3.0.1 +info: + title: HDB Block Coordinates (SG) + x-subscribelink: building_addresses_hdb_sg + description: |+ + This Data microservice retrieves information on Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. The information is updated monthly. A successful call will return the results of the query in JSON format. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Information from this microservice can be used to build a geo-targeting app with precise map features. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"range":{"block":{"gte":100}}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"street":"avenue 3"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"range":{"block":{"lte":200}}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"ang mo kio street"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"ang mo kio"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":550151}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":[550151,550152]}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"postalcode":{"lte":650347}}} + > {"range":{"postalcode":{"gte":650347}}} + > {"range":{"postalcode":{"gte":650347,"lte":760415}}} + + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{ "field": "postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"range":{"block":{"gte":100}}}], + > "should":[{"range":{"block":{"lte":200}}}], + > "filter":[{"match_phrase":{"street":"ang mo kio"}}], + > "must_not":[{"match":{"street":"avenue 3"}}] + > } + **Sample Queries Based on Use Cases** + 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** + + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} + + version: '1.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.1.0" + description: "Published Date - Jun 30, 2021" +paths: + /microservices/data/directories_searchbranch/v1/getdata: + get: + tags: + - v1.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "serangoon" + default: false + - in: query + name: offset + schema: + type: number + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: number + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":500}}}],"filter":[{"match_phrase":{"street":"serangoon central"}}],"must_not":[{"match":{"postalcode":343534}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 12.08503 + hits: + - _index: sentient_building_directory_index + _type: dir_doc + _id: uLxcqWgBv3dNEHq2Dznn + _score: 12.08503 + _source: + buildingname: nex + postalcode: 556083 + block: '23' + street: serangoon central + location: + lat: 1.350748 + lon: 103.872798 + source: starhub + createddate: 'Feb 01, 2019' + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: number + example: 1 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + buildingname: + type: string + description: Building Name + example: "nex" + street: + type: string + description: Street Name of Building + example: "serangoon central" + postalcode: + type: number + + description: Postal code + example: 556083 + block: + type: string + description: Block Number + example: "23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.350748,"lon":103.872798} + properties: + lat: + type: string + description: WGS84 latitude + example: 1.350748 + lon: + type: string + description: WGS84 longitude + example: 103.872798 + source: + type: string + description: Dataset source + example: "hdb" + createddate: + type: string + description: Record first released date on Sentient.io + example: "Feb 01, 2019" + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2021 + x-details: Optimized release + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21, 2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From bb53234593c8fce7654f5b5ff73c5bfcc76e34b6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:17:52 +0530 Subject: [PATCH 4645/5916] Update index.yaml --- index.yaml | 64 ++++++++++++++++++++++++++++++++++++------------------ 1 file changed, 43 insertions(+), 21 deletions(-) diff --git a/index.yaml b/index.yaml index 038bb124a..ef7130c73 100644 --- a/index.yaml +++ b/index.yaml @@ -362,7 +362,8 @@ data: commercial_directories_hdb_sg: title: HDB Commercial Directories (SG) versions: - 1.0.0: 'commercial_directories_hdb_sg.yaml' + 1.1.0: 'commercial_directories_hdb_sg.yaml' + 1.0.0: 'commercial_directories_hdb_sg_v1.yaml' building_addresses_hdb_sg: title: HDB Block Coordinates (SG) versions: @@ -371,7 +372,8 @@ data: residential_sales_and_rental_hdb_sg: title: HDB Residential Occupancy Status (SG) versions: - 1.0.0: 'residential_sales_and_rental_hdb_sg.yaml' + 1.1.0: 'residential_sales_and_rental_hdb_sg.yaml + 1.0.0: 'residential_sales_and_rental_hdb_sg_v1.yaml' carpark_hdb_sg: title: HDB Carpark Locations (SG) versions: @@ -380,19 +382,23 @@ data: demographics_hdb_sg: title: HDB Demographics (SG) versions: - 1.0.0: 'demographics_hdb_sg.yaml' + 1.1.0: 'demographics_hdb_sg.yaml' + 1.0.0: 'demographics_hdb_sg_v1.yaml' flat_ownership_hdb_sg: title: HDB Flat Ownership Duration (SG) versions: - 1.0.0: 'flat_ownership_hdb_sg.yaml' + 1.1.0: 'flat_ownership_hdb_sg.yaml' + 1.0.0: 'flat_ownership_hdb_sg_v1.yaml' season_parking_availability_hdb_sg: title: HDB Season Parking Availability (SG) versions: - 1.0.0: 'season_parking_availability_hdb_sg.yaml' + 1.1.0: 'season_parking_availability_hdb_sg.yaml' + 1.0.0: 'season_parking_availability_hdb_sg_v1.yaml' directory_of_singapore_startups: title: Directory of Singapore Startups versions: 1.0.0: 'directory_of_singapore_startups.yaml' + 1.0.0: 'directory_of_singapore_startups_v1.yaml' fitness_stations_and_playgrounds_hdb_sg: title: HDB Fitness Stations and Playgrounds (SG) versions: @@ -420,20 +426,24 @@ data: d&b_business_check_plus_sg: title: D&B Business Check Plus (SG) versions: - 1.0.0: 'd&b_business_check_plus_sg.yaml' + 1.1.0: 'd&b_business_check_plus_sg.yaml' + 1.0.0: 'd&b_business_check_plus_sg_v1.yaml' d&b_basic_individual_search_sg: title: D&B Basic Individual Search (SG) versions: - 1.0.0: 'd&b_basic_individual_search_sg.yaml' + 1.1.0: 'd&b_basic_individual_search_sg.yaml' + 1.0.0: 'd&b_basic_individual_search_sg_v1.yaml' 0.1.0: 'd&b_basic_individual_search_sg_v0.1.yaml' d&b_business_check_sg: title: D&B Business Check (SG) versions: - 1.0.0: 'd&b_business_check_sg.yaml' + 1.1.0: 'd&b_business_check_sg.yaml' + 1.0.0: 'd&b_business_check_sg_v1.yaml' d&b_brief_financial_information_sg: title: D&B Brief Financial Information (SG) versions: - 1.0.0: 'd&b_brief_financial_information_sg.yaml' + 1.1.0: 'd&b_brief_financial_information_sg.yaml' + 1.0.0: 'd&b_brief_financial_information_sg_v1.yaml' hdb_amenities_score: title: HDB Amenities Score versions: @@ -441,51 +451,63 @@ data: trajectory_clustering: title: Trajectory Clustering versions: - 0.1.0: 'trajectory_clustering.yaml' + 0.1.1: 'trajectory_clustering.yaml' + 0.1.0: 'trajectory_clustering_v0.yaml' lta_road_works: title: LTA Road Works versions: - 0.1.1: 'lta_road_works.yaml' + 0.1.2: 'lta_road_works.yaml' + 0.1.1: 'lta_road_works_v0.yaml' lta_car_park_availability_historical: title: LTA Carpark Availability Historical versions: - 0.1.1: 'lta_car_park_availability_historical.yaml' + 0.1.2: 'lta_car_park_availability_historical.yaml' + 0.1.1: 'lta_car_park_availability_historical_v0.yaml' lta_traffic_images: title: LTA Traffic Images versions: - 0.1.1: 'lta_traffic_images.yaml' + 0.1.2: 'lta_traffic_images.yaml' + 0.1.1: 'lta_traffic_images_v0.yaml' lta_traffic_incidents: title: LTA Traffic Incidents versions: - 0.1.1: 'lta_traffic_incidents.yaml' + 0.1.2: 'lta_traffic_incidents.yaml' + 0.1.1: 'lta_traffic_incidents_v0.yaml' lta_traffic_speed_bands_historical: title: LTA Traffic Speed Bands Historical versions: - 0.1.1: 'lta_traffic_speed_bands_historical.yaml' + 0.1.2: 'lta_traffic_speed_bands_historical.yaml' + 0.1.1: 'lta_traffic_speed_bands_historical_v0.yaml' lta_vms: title: LTA VMS versions: - 0.1.1: 'lta_vms.yaml' + 0.1.2: 'lta_vms.yaml' + 0.1.1: 'lta_vms_v0.yaml' lta_faulty_traffic_lights: title: LTA Faulty Traffic Lights versions: - 0.1.1: 'lta_faulty_traffic_lights.yaml' + 0.1.2: 'lta_faulty_traffic_lights.yaml' + 0.1.1: 'lta_faulty_traffic_lights_v0.yaml' lta_pv_bus: title: LTA Passenger Volume by Bus Stops versions: - 0.1.1: 'lta_pv_bus.yaml' + 0.1.2: 'lta_pv_bus.yaml' + 0.1.1: 'lta_pv_bus_v0.yaml' realtime_weather: title: Realtime Weather versions: - 0.1.0: 'realtime_weather.yaml' + 0.1.1: 'realtime_weather.yaml' + 0.1.0: 'realtime_weather_v0.yaml' lidar_trajectory_data: title: LiDAR Trajectory Data versions: - 0.1.0: 'lidar_trajectory_data.yaml' + 0.1.1: 'lidar_trajectory_data.yaml' + 0.1.0: 'lidar_trajectory_data_v0.yaml' train_stations_sg: title: Train Stations (SG) versions: - 0.1.0: 'train_stations_sg.yaml' + 0.1.1: 'train_stations_sg.yaml' + 0.1.0: 'train_stations_sg_v0.yaml' analytics: recommendation_engine: title: Recommendation Engine From fc90cdef60a0aaeac383f0fadd4bfda2b7839b9a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:18:28 +0530 Subject: [PATCH 4646/5916] Update amenities_lamp_posts_hdb_sg_v2.yaml --- data/amenities_lamp_posts_hdb_sg_v2.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg_v2.yaml b/data/amenities_lamp_posts_hdb_sg_v2.yaml index 3c1c487eb..bfe081fe0 100644 --- a/data/amenities_lamp_posts_hdb_sg_v2.yaml +++ b/data/amenities_lamp_posts_hdb_sg_v2.yaml @@ -63,7 +63,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Apr 08, 2022" paths: /microservices/data/lamppost/v2/getdata: post: From 4e997e59f50a6fc942e27b4f1df9e6348e584c88 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:19:09 +0530 Subject: [PATCH 4647/5916] Update amenities_shelters_hdb_sg_v2.yaml --- data/amenities_shelters_hdb_sg_v2.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg_v2.yaml b/data/amenities_shelters_hdb_sg_v2.yaml index 57e56531a..5f62c9daf 100644 --- a/data/amenities_shelters_hdb_sg_v2.yaml +++ b/data/amenities_shelters_hdb_sg_v2.yaml @@ -61,7 +61,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Apr 08, 2022" paths: /microservices/data/shelter/v2/getdata: post: From c6711514e46122b5398bf089d81f6b524414d5f1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:22:16 +0530 Subject: [PATCH 4648/5916] Update and rename carpark_hdb_sg.yaml to carpark_hdb_sg_v1.yaml --- ...ark_hdb_sg.yaml => carpark_hdb_sg_v1.yaml} | 20 ++++++------------- 1 file changed, 6 insertions(+), 14 deletions(-) rename data/{carpark_hdb_sg.yaml => carpark_hdb_sg_v1.yaml} (95%) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg_v1.yaml similarity index 95% rename from data/carpark_hdb_sg.yaml rename to data/carpark_hdb_sg_v1.yaml index 583d7881c..49c4764c3 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg_v1.yaml @@ -84,7 +84,7 @@ info: > querystring = "bishan street 22" > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} - version: '1.1.0' + version: '1.0.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -99,15 +99,15 @@ info: x-apidetailsdesc: |+ Retrieves Housing Development Board (HDB) carpark information. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" - description: "Published Date - Jun 30, 2021" +- name: "v1.0.0" + description: "Published Date - May 21, 2021" paths: /microservices/data/carpark/v1/getdata: get: tags: - - v1.1.0 + - v1.0.0 parameters: - in: query name: querystring @@ -465,14 +465,6 @@ components: versions: type: object properties: - v1.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 30,2021 - x-details: Optimized release - description: Latest Version v1.0.0: type: array items: @@ -480,7 +472,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Archived + description: Latest Version v0.2.0: type: array items: From 7525b9b9213851fc2fe8a0adfe66c90037aa1e68 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:23:46 +0530 Subject: [PATCH 4649/5916] Create carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 509 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 509 insertions(+) create mode 100644 data/carpark_hdb_sg.yaml diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml new file mode 100644 index 000000000..113dd590e --- /dev/null +++ b/data/carpark_hdb_sg.yaml @@ -0,0 +1,509 @@ +openapi: 3.0.1 +info: + title: HDB Carpark Locations (SG) + x-subscribelink: carpark_hdb_sg + description: |+ + This Data microservice retrieves the Housing Development Board (HDB) carpark information within HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Geo-targeting app with map feature, property development planning resource, or planning for vehicle-sharing app. + - Real estate services - can be used as a background check solution to extract information related to the types and number of carparks present in an area for people with certain preferences when buying or renting a HDB home. + - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + > {"must":[{"match":{"mc":0}}]} + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":570251}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"ang mo kio"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match":{"street":"bishan"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + **Match Types:** + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"bishan"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"bishan street 24"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"bishan street 24"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"cpk_no":"ak19"}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"cpk_no":["ak19","be33"]}} + * **range** - Returns results that contain terms within a stipulated range + > {"range":{"car":{"gte":100}}} + > {"range":{"car":{"lte":500}}} + > {"range":{"car":{"gte":100,"lte":500}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{ "field": "postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match":{"mc":0}}], + > "filter":[{"match":{"street":"bishan"}}], + > "should":[{"match_phrase":{"street":"ang mo kio"}}], + > "must_not":[{"match":{"postalcode":570251}}] + > } + **Sample Queries Based on Use Cases** + 1. **Search for all carparks around 414 Bedok North Road** + Using a querystring only: + + > querystring = "414 bedok north road" + 2. **Search for all carparks within a 1KM radius from Tampines Mall** + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} + + 3. **Search for all carparks around Tampines with motorcycle parking** + Using both querystring + filterdata: + + > querystring = tampines + > filterdata = {"filter":[ {"range":{"mc":{"gte":1}}} ]} + + 4. **Search for all lorry parking lots for Bishan Street 22** + + Using both querystring + filterdata: + + > querystring = "bishan street 22" + > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} + version: '1.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves Housing Development Board (HDB) carpark information. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.1.0" + description: "Published Date - Jun 30, 2021" +paths: + /microservices/data/carpark/v1/getdata: + get: + tags: + - v1.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: BE33 + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match":{"mc":0}}],"filter":[{"match":{"street":"BISHAN STREET 22"}}],"should":[{"match_phrase":{"street":"BISHAN"}}],"must_not":[{"match":{"postalcode":456454}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 1 + max_score: 7.510164 + hits: + - _index: sentient_hdb_carpark_index + _type: dir_doc + _id: BE37 + _score: 7.510164 + _source: + cpk_no: BE37 + block: BLK 282 + street: BISHAN STREET 22 + address: BLK 282 BISHAN STREET 22 + source: hdb + xcoord: '29235.553' + ycoord: '37787.1371' + car: 402 + lorry: 40 + mc: 0 + createddate: '2020-09-11' + lastupdated: '2020-09-11' + location: + lat: 1.3580079412271227 + lon: 103.84442083770412 + postalcode: + - 570278 + - 570279 + - 570280 + - 570281 + - 570282 + - 570283 + - 570284 + - 570285 + - 570286 + - 570287 + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 986 + description: Total number of records + max_score: + type: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + cpk_no: + type: string + description: Carpark Number + example: AK19 + block: + type: string + description: Address block no + example: "BLOCK 253" + street: + type: string + description: Address street or building name + example: "ANG MO KIO STREET 21" + address: + type: string + description: Address full address + example: "BLOCK 253 ANG MO KIO STREET 21" + source: + type: string + description: Dataset source + example: "hdb" + postalcode: + type: array + description: List of postal code + example: [570253, 570254] + items: + type: integer + format: int32 + description: postal code + example: 570253 + xcoord: + type: number + format: float + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) + example: 28185.4359 + ycoord: + type: number + format: float + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) + example: 39012.6664 + location: + type: object + description: WGS84 (World Geodetic System) lat/long coordinates. This is the standard coordinate system used Global Positioning System (GPS). + example: {"lat":1.364299477060462,"lon":103.8350609414261} + properties: + lat: + type: Number + Format: Float + description: Latitude in the WGS84 coordinate format + example: 1.37179535 + lon: + type: Number + Format: Float + description: Longitude in the WGS84 coordinate format + example: 103.8469821 + car: + type: integer + format: int32 + description: Number of car parking lots + example: 18 + lorry: + type: integer + format: int32 + description: Number of lorry parking lots + example: 6 + mc: + type: integer + format: int32 + description: Number of motorcycle parking lots + example: 0 + createddate: + type: string + format: date + description: Record first release date on sentient + example: "2019-10-17" + lastupdated: + type: string + format: date + description: Record last updated date on sentient + example: "2019-10-17" + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30,2021 + x-details: Optimized release + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Latest Version + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 15,2020 + x-details: |+ + The following additional fields are added: + 1. postalcode - list of postal code + 2. location - lat / log of the carpark park + description: Depreciating on May 20, 2021 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25,2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From 3a725a2c42ec9790ea6ed3a36c187b6cdedd89fe Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:25:41 +0530 Subject: [PATCH 4650/5916] Rename commercial_directories_hdb_sg.yaml to commercial_directories_hdb_sg_v1.yaml --- ...ectories_hdb_sg.yaml => commercial_directories_hdb_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{commercial_directories_hdb_sg.yaml => commercial_directories_hdb_sg_v1.yaml} (100%) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg_v1.yaml similarity index 100% rename from data/commercial_directories_hdb_sg.yaml rename to data/commercial_directories_hdb_sg_v1.yaml From a006a311f0ea21f8fa68321bb68d9adff387ad38 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:27:32 +0530 Subject: [PATCH 4651/5916] Create commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 533 ++++++++++++++++++++++++ 1 file changed, 533 insertions(+) create mode 100644 data/commercial_directories_hdb_sg.yaml diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml new file mode 100644 index 000000000..40fab0886 --- /dev/null +++ b/data/commercial_directories_hdb_sg.yaml @@ -0,0 +1,533 @@ +openapi: 3.0.1 +info: + title: HDB Commercial Directories (SG) + x-subscribelink: commercial_directories_hdb_sg + description: |+ + This Data microservice retrieves the list of all retail shops within Housing Development Board (HDB) and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates and type of business. The returned dataset offers useful information like the shop operating hours and contact number. Updated weekly. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: + Name retail shops in HDBs based on their GPS location. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + > {"must":[{"match_phrase":{"name":"ang mo kio"}}]} + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + + > {"must_not":[{"match":{"trade":"shop"}}]} + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + + > {"should":[{"match":{"postalcode":650633}}]} + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + + > {"filter":[{"match":{"trade":"retail"}}]} + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + * **match** - Search within a full text field for a single word + > {"match":{"street":"bishan"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{ "street":bishan street 24"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"bishan street"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":560720}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":[560720,560721]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"postalcode":{"lte":650347}}} + > {"range":{"postalcode":{"gte":650347}}} + > {"range":{"postalcode":{"gte":650347,"lte":760415}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postalcode"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + > { + > "must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}], + > "filter":[{"match":{"trade":"shop"}}], + > "should":[{"match":{"postalcode":650633}}], + > "must_not":[{"match":{"trade":"betting"}}] + > } + **Sample Queries Based on Use Cases** + + 1. **Search for all commercial directories around ang mo kio street 21** + Using a querystring only: + > querystring = "ang mo kio street 21" + 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} + + 3. **Search for all cake shop shops at Blk 122, Bukit Merah Lane 1** + Using a filterdata only: + + > filterdata = {"filter":[{"match_phrase": {"trade":"cake shop"}},{"match": {"block":"122"}},{"match_phrase": {"street":"bukit merah lane 1"}}]} + + version: '1.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves the list of all retail shops within Housing Development Board. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.1.0" + description: "Published Date - Jun 30, 2021" +paths: + /microservices/data/hdb_searchdir/v1/getdata: + get: + tags: + - v1.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all retail shops (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "school" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match_phrase":{"name":"school"}}],"filter":[{"match":{"trade":"schools & centres"}}],"should":[{"match":{"postalcode":530202}}],"must_not":[{"match":{"trade":"betting"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 3735 + max_score: 17.995623 + hits: + - _index: sentient_hdb_directory_index + _type: dir_doc + _id: pet_specialist + _score: 1.0 + _source: + postalcode: 560720 + unit: '4102' + level: '01' + source: hdb + name: pet_specialist + phonenumber: 63553000 + email: '' + operatinghours: mon - fri 8am - 4.30pm sat 8am - 12.30pm + trade: pets + lastupdated: '2019-02-01' + type: shop + block: '720' + street: ang mo kio avenue 6 + xcoord: 29520.58 + ycoord: 39311.68 + location: + lat: 1.37179535 + lon: 103.8469821 + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + format: int32 + example: 986 + description: Total number of records + max_score: + type: number + format: float + example: 1.0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + id: + type: string + description: Unique Id + example: "pet_specialist" + postalcode: + type: integer + format: int32 + description: Postal code of a block + example: 560720 + unit: + type: integer + format: int32 + description: Unit number + example: "4102" + level: + type: integer + format: int32 + description: Floor level + example: "01" + source: + type: string + description: Dataset source + example: "hdb" + name: + type: string + description: Business name + example: "Pets" + phonenumber: + type: integer + format: int32 + description: Contact number + example: "63553000" + email: + type: string + description: Email address + example: "amk128@renalteam.org" + operatinghours: + type: string + description: Business operating hours. Multiple values are separated using ‘;’ + example: "mon - fri 8am - 4.30pm sat 8am - 12.30pm" + trade: + type: string + description: |+ + Business trade type. Trade List are: + commercial school + shop/retail + childcare centre + confectionery + office + betting + eating house/fast food restaurant/food court + family restaurant + health centre and amusement ctr + laundry shop + showroom + pet shop + social com + supermarket + specific use + health & fitness + home + fashion & accessories + groceries + schools & centres + business + pets + dining + food products + beauty + cake shop + shopping + finance + entertainment & leisure + hobbies & interests + travel and tourism + light industrial + sports and recreation building + others + example: "shop/retail" + lastupdated: + type: string + format: date + description: Record created date + example: "2019-02-01" + type: + type: string + description: Record type + example: "shop" + block: + type: integer + format: int + description: Block number + example: "720" + street: + type: string + description: Full street name + example: "ang mo kio avenue 6" + xcoord: + type: number + format: float + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) + example: 29520.58 + ycoord: + type: number + format: float + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) + example: 39311.68 + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.364299477060462,"lon":103.8350609414261} + properties: + lat: + type: number + format: float + description: Latitude in the WGS84 coordinate format + example: 1.37179535 + lon: + type: number + format: float + description: Longitude in the WGS84 coordinate format + example: 103.8469821 + message: + type: string + example: Successfully Processed + description: Description of the API status. + status: + type: string + example: Success + description: The status of the API call - success/failure. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30,2021 + x-details: Optimized release + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 26,2018 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From 3c4926193b71d6355f15edeb71aa046dadada429 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:28:22 +0530 Subject: [PATCH 4652/5916] Rename d&b_basic_individual_search_sg.yaml to d&b_basic_individual_search_sg_v1.yaml --- ...dual_search_sg.yaml => d&b_basic_individual_search_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{d&b_basic_individual_search_sg.yaml => d&b_basic_individual_search_sg_v1.yaml} (100%) diff --git a/data/d&b_basic_individual_search_sg.yaml b/data/d&b_basic_individual_search_sg_v1.yaml similarity index 100% rename from data/d&b_basic_individual_search_sg.yaml rename to data/d&b_basic_individual_search_sg_v1.yaml From e53fae9ff89dc8ad625d2c016a9eac2fbdc9c8c9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:30:21 +0530 Subject: [PATCH 4653/5916] Create d&b_basic_individual_search_sg.yaml --- data/d&b_basic_individual_search_sg.yaml | 1426 ++++++++++++++++++++++ 1 file changed, 1426 insertions(+) create mode 100644 data/d&b_basic_individual_search_sg.yaml diff --git a/data/d&b_basic_individual_search_sg.yaml b/data/d&b_basic_individual_search_sg.yaml new file mode 100644 index 000000000..6f155d2cd --- /dev/null +++ b/data/d&b_basic_individual_search_sg.yaml @@ -0,0 +1,1426 @@ +openapi: 3.0.1 +info: + title: D&B Basic Individual Search (SG) + description: |+ + This Data microservice provides the information on the business interest and involvement of an individual residing in Singapore. It includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and number of times this individual has been searched on. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation. + - Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. + version: '1.1.0' + x-subscribelink: d&b_basic_individual_search_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves information on the business interest and involvement of an individual residing in Singapore. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.1.0" + description: "Published Date - Jun 30, 2022 +paths: + /microservices/data/sbis/v1/getdata: + post: + tags: + - v1.1.0 + summary: Adds a new user + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + REPORT: + META_INFO: + SERVICE: BIS + SYSTEM_ID: DDP + CREATION_DATE: 25/02/2009 17:31:44.678 + USER_ID: plcust102 + BASIC_INFO: + PA_REG_NO: + "@type": String + "#text": '00091' + ADDRESS1: 137, BEDOK RESERVOIR ROAD, 06 - 1451 + ADDRESS2: "-" + ADDRESS3: 470137, SINGAPORE + LIT_SEARCH_INFO: + COMP_NAME: ENG YICK HOLDINGS PTE LTD + REG_NO: 197803191K + REPORT_TYPE: BIS + REQ_DATE: 25/02/2009 17:31:44 + REQ_REG_NO: 197803191K + REQ_NAME: LOY KOK TOON + REQ_DATE_STR: 25/02/2009 15:04:14 + LIST_CURRENT_COMP: + CURRENT_COMP: + POSITION: OWNER + APPOINTMENT_DATE: 01/09/1971 + COMP_NAME: BAN HOE LEONG COMPANY + SEQ_NO: 03647300J + SHARE_VALUE1: '15.00' + COMP_STATUS: LIVE + PROFIT_VALUE1: 2008 = - + PROFIT_VALUE2: 2007 = - + PROFIT_VALUE3: 2006 = - + SHARE_VALUE: '150000' + TEL: '62994842' + FAX: '62992797' + SIC: '5012' + SIC_DESC: Automobiles and other Motor Vehicles + LIST_PREVIOUS_COMP: + PREVIOUS_COMP: + POSITION: SHAREHOLDER + APPOINTMENT_DATE: 30/06/1988 + COMP_NAME: ENG YICK INDUSTRIES PTE LTD + SEQ_NO: 198101820Z + SHARE_VALUE1: '100.00' + COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) + CESSATION_DATE: 22/09/1992 + SHARE_VALUE: '390002' + TEL: '62994842' + FAX: '67467646' + SIC: '2325' + SIC_DESC: Menâ€TMs and Boysâ€TM Separate Trousers and Slacks + LIST_BANKRUPTCY: + BANKRUPTCY: + SUBJECT_NAME: "-" + COURT_CODE: CWU + CASE_CODE: '381' + CASE_YEAR: '2000' + ACTION_DATE: 22/12/2000 + BANKRUPTCY_ACT: Petition for Winding Up + HEARING_DATE: 26/03/2009 + CURRENCY1: "-" + AMOUNT1: '334,616.00' + CURRENCY2: "-" + AMOUNT2: '0.00' + CURRENCY3: "-" + AMOUNT3: '0.00' + BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + LIST_LIT: + LIT: + SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD + SEQ_NO: '1' + FORMATTED_ID: 197803191K + LIST_LIT_DTL: + LIT_DTL: + NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED + STATUS_DATE: 13/08/2001 + CASE_NO: MC 23631 / 2001 + FORMATTED_ID: 197803191K + DOC_REMARKS: WRIT OF SUMMONS + CURRENCY1: SIN + CURRENCY2: "-" + CURRENCY3: "-" + CURRENCY4: "-" + CURRENCY5: "-" + CASE_STATUS: PENDING AS AT STATUS DATE + AMOUNT1: '36,196.00' + AMOUNT2: '0.00' + AMOUNT3: '0.00' + AMOUNT4: '0.00' + AMOUNT5: '0.00' + LIST_PLAINTIFF: + PLAINTIFF: + - PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + - PLA_NAME: ABC PTE LTD + LAW_FIRM: JAMES & JOE + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: KHOO JAMES + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 X10 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + LIST_DEFENDANT: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + LIST_Ddrptcount: + Ddrptcount: + - Rcjan: '1' + Rcfeb: '1' + Rcmar: '1' + Rcapr: '1' + Rcmay: '1' + Rcjun: '1' + Rcjul: '1' + Rcaug: '1' + Rcsep: '1' + Rcoct: '1' + Rcnov: '1' + Rcdec: '1' + Rcyear: '2017' + Rcsecflag: '1' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2016' + Rcsecflag: '1' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2015' + Rcsecflag: '1' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2017' + Rcsecflag: '0' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2016' + Rcsecflag: '0' + - Rcjan: '0' + Rcfeb: '0' + Rcmar: '0' + Rcapr: '0' + Rcmay: '0' + Rcjun: '0' + Rcjul: '0' + Rcaug: '0' + Rcsep: '0' + Rcoct: '0' + Rcnov: '0' + Rcdec: '0' + Rcyear: '2015' + Rcsecflag: '0' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [BASIC_INFO] + [LIT_SEARCH_INFO] + [LIST_CURRENT_COMP] + [LIST_PREVIOUS_COMP] + [LIST_BANKRUPTCY] + [LIST_LIT] + [LIST_LIT_DTL] + properties: + META_INFO: + type: object + example: + META_INFO: + SERVICE: BIS + SYSTEM_ID: DDP + CREATION_DATE: 25/02/2009 17:31:44.678 + USER_ID: plcust102 + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + properties: + SERVICE: + type: string + example: "BIS" + description: Report Requested + SYSTEM_ID : + type: string + example: "DDP" + description: System ID + CREATION_DATE: + type: datetime + example: "25/02/2009 17:31:44.678" + description: Report Request Date + USER_ID : + type: string + example: N/A + description: Valid user id in DDP system. It is for (For internal use) + BASIC_INFO : + type: object + description: |+ + Basic Information with following children: + PA_REG_NO + ADDRESS1 + ADDRESS2 + ADDRESS3 + example: + BASIC_INFO: + PA_REG_NO: + "@type": String + "#text": '00091' + ADDRESS1: 137, BEDOK RESERVOIR ROAD, 06 - 1451 + ADDRESS2: "-" + ADDRESS3: 470137, SINGAPORE + properties: + PA_REG_NO: + type: string + description: Public Accountant Registration No. + example: "00091" + ADDRESS1: + type: string + description: Address 1 + example: "137" + ADDRESS2: + type: string + description: Address 2 + example: "vvvvv" + ADDRESS3: + type: string + description: Address 3 + example: "470137, SINGAPORE" + LIT_SEARCH_INFO : + type: object + example: + LIT_SEARCH_INFO: + COMP_NAME: ENG YICK HOLDINGS PTE LTD + REG_NO: 197803191K + REPORT_TYPE: BIS + REQ_DATE: 25/02/2009 17:31:44 + REQ_REG_NO: 197803191K + REQ_NAME: LOY KOK TOON + REQ_DATE_STR: 25/02/2009 15:04:14 + description: |+ + Litigation search information with following children: + COMP_NAME + REG_NO + REPORT_TYPE + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK HOLDINGS PTE LTD" + REG_NO: + type: string + description: Company Registration No + example: "197803191K" + REPORT_TYPE: + type: string + description: Report Type + example: "BIS" + REQ_DATE: + type: datetime + description: Requested Date + example: "25/02/2009 17:31:44" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197803191K" + REQ_NAME: + type: string + description: Request Name + example: "LOY KOK TOON" + REQ_DATE_STR: + type: string + description: Request Date String + example: "25/02/2009 15:04:14" + LIST_CURRENT_COMP : + type: array + description: |+ + List of current companies with following children: + [CURRENT_COMP] + example: + LIST_CURRENT_COMP: + CURRENT_COMP: + POSITION: OWNER + APPOINTMENT_DATE: 01/09/1971 + COMP_NAME: BAN HOE LEONG COMPANY + SEQ_NO: 03647300J + SHARE_VALUE1: '15.00' + COMP_STATUS: LIVE + PROFIT_VALUE1: 2008 = - + PROFIT_VALUE2: 2007 = - + PROFIT_VALUE3: 2006 = - + SHARE_VALUE: '150000' + TEL: '62994842' + FAX: '62992797' + SIC: '5012' + SIC_DESC: Automobiles and other Motor Vehicles + items: + properties: + CURRENT_COMP: + type: object + description: |+ + Current companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + PROFIT_VALUE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: + CURRENT_COMP: + POSITION: OWNER + APPOINTMENT_DATE: 01/09/1971 + COMP_NAME: BAN HOE LEONG COMPANY + SEQ_NO: 03647300J + SHARE_VALUE1: '15.00' + COMP_STATUS: LIVE + PROFIT_VALUE1: 2008 = - + PROFIT_VALUE2: 2007 = - + PROFIT_VALUE3: 2006 = - + SHARE_VALUE: '150000' + TEL: '62994842' + FAX: '62992797' + SIC: '5012' + SIC_DESC: Automobiles and other Motor Vehicles + properties: + POSITION: + type: string + description: Position + example: "OWNER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "01/09/1971" + COMP_NAME: + type: string + description: Company Name + example: "BAN HOE LEONG COMPANY" + SEQ_NO: + type: string + description: Company Registration No. + example: "03647300J" + SHARE_VALUE1: + type: string + description: Share Percentage + example: "15.00" + COMP_STATUS: + type: string + description: Company Status + example: "LIVE" + PROFIT_VALUE1: + type: string + description: Profit Making 1 + example: "2008 = -" + PROFIT_VALUE2: + type: string + description: Profit Making 2 + example: "2007 = -" + PROFIT_VALUE3: + type: string + description: Profit Making 3 + example: "2006 = -" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "150000" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "62992797" + SIC: + type: string + description: SIC Code + example: "5012" + SIC_DESC: + type: string + description: SIC Description + example: "Automobiles and other Motor Vehicles" + LIST_PREVIOUS_COMP: + type: array + example: + LIST_PREVIOUS_COMP: + PREVIOUS_COMP: + POSITION: SHAREHOLDER + APPOINTMENT_DATE: 30/06/1988 + COMP_NAME: ENG YICK INDUSTRIES PTE LTD + SEQ_NO: 198101820Z + SHARE_VALUE1: '100.00' + COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) + CESSATION_DATE: 22/09/1992 + SHARE_VALUE: '390002' + TEL: '62994842' + FAX: '67467646' + SIC: '2325' + SIC_DESC: Men’s and Boys’ Separate Trousers and Slacks + description: |+ + List of previous companies with following children: + [PREVIOUS_COMP] + items: + properties: + PREVIOUS_COMP : + type: object + description: |+ + Previous companies detail with following children: + POSITION + APPOINTMENT_DATE + COMP_NAME + SEQ_NO + SHARE_VALUE1 + COMP_STATUS + CESSATION_DATE + SHARE_VALUE + TEL + FAX + SIC + SIC_DESC + example: + PREVIOUS_COMP: + POSITION: SHAREHOLDER + APPOINTMENT_DATE: 30/06/1988 + COMP_NAME: ENG YICK INDUSTRIES PTE LTD + SEQ_NO: 198101820Z + SHARE_VALUE1: '100.00' + COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) + CESSATION_DATE: 22/09/1992 + SHARE_VALUE: '390002' + TEL: '62994842' + FAX: '67467646' + SIC: '2325' + SIC_DESC: Men’s and Boys’ Separate Trousers and Slacks + properties: + POSITION : + type: string + description: Position + example: "SHAREHOLDER" + APPOINTMENT_DATE: + type: string + description: Appointment Date + example: "30/06/1988" + COMP_NAME: + type: string + description: Company Name + example: "ENG YICK INDUSTRIES PTE LTD" + SEQ_NO: + type: string + description: Company Registration No. + example: "198101820Z" + SHARE_VALUE1: + type: string + description: Share Value Percentage + example: "100.00" + COMP_STATUS: + type: string + description: Company Status + example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" + CESSATION_DATE : + type: string + description: Cessation Date + example: "22/09/1992" + SHARE_VALUE: + type: string + description: Number Of Shares + example: "390002" + TEL: + type: string + description: Telephone Number + example: "62994842" + FAX: + type: string + description: Fax Number + example: "67467646" + SIC: + type: string + description: SIC Code + example: "2325" + SIC_DESC: + type: string + description: SIC Description + example: "Men’s and Boys’ Separate Trousers and Slacks" + LIST_BANKRUPTCY: + type: array + description: |+ + Bankruptcy/ Winding up with following children: + [BANKRUPTCY] + example: + LIST_BANKRUPTCY: + BANKRUPTCY: + SUBJECT_NAME: "-" + COURT_CODE: CWU + CASE_CODE: '381' + CASE_YEAR: '2000' + ACTION_DATE: 22/12/2000 + BANKRUPTCY_ACT: Petition for Winding Up + HEARING_DATE: 26/03/2009 + CURRENCY1: "-" + AMOUNT1: '334,616.00' + CURRENCY2: "-" + AMOUNT2: '0.00' + CURRENCY3: "-" + AMOUNT3: '0.00' + BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + items: + properties: + BANKRUPTCY : + type: object + description: |+ + Bankruptcy/Winding up detail with following children: + SUBJECT_NAME + COURT_CODE + CASE_CODE + CASE_YEAR + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + BANKRUPTCY_TYPE + [LIST_PLAINTIFF] + example: + BANKRUPTCY: + SUBJECT_NAME: "-" + COURT_CODE: CWU + CASE_CODE: '381' + CASE_YEAR: '2000' + ACTION_DATE: 22/12/2000 + BANKRUPTCY_ACT: Petition for Winding Up + HEARING_DATE: 26/03/2009 + CURRENCY1: "-" + AMOUNT1: '334,616.00' + CURRENCY2: "-" + AMOUNT2: '0.00' + CURRENCY3: "-" + AMOUNT3: '0.00' + BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + properties: + SUBJECT_NAME : + type: string + description: Subject Name + example: + COURT_CODE: + type: string + description: Court Code + example: "CWU" + CASE_CODE: + type: string + description: Case Code + example: "381" + CASE_YEAR: + type: string + description: Case Year + example: "2000" + ACTION_DATE: + type: string + description: Action Date + example: "22/12/2000" + BANKRUPTCY_ACT: + type: string + description: Act of Bankruptcy + example: "Petition for Winding Up" + HEARING_DATE : + type: string + description: Hearing Date + example: "26/03/2009" + CURRENCY1: + type: string + description: Currency + example: + AMOUNT1: + type: string + description: Amount + example: "334,616.00" + CURRENCY2: + type: string + description: Currency + example: + AMOUNT2: + type: string + description: Amount + example: "0.00" + CURRENCY3: + type: string + description: Currency + example: + AMOUNT3: + type: string + description: Amount + example: "0.00" + BANKRUPTCY_TYPE: + type: string + description: Bankruptcy Type + example: "COMPANY WINDING UP PETITION" + LIST_PLAINTIFF: + type: array + description: |+ + List of Plaintiff with following children: + [PLAINTIFF] + example: + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + example: + PLAINTIFF: + PLA_NAME: B 2003 P1 + PLA_SOLICITOR: PATRICK KHOO ENG HOCK + PLA_SOLICITOR_ID: "-" + PLA_FILE_REF: RSP/292668/1 + properties: + PLA_NAME: + type: string + description: Pla. Name + example: "B 2003 P1" + PLA_SOLICITOR: + type: string + description: Pla. Solicitor + example: "PATRICK KHOO ENG HOCK" + PLA_SOLICITOR_ID: + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "RSP/292668/1" + LIST_LIT: + type: array + description: |+ + List of litigation with following children: + [LIT] + example: + LIST_LIT: + LIT: + SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD + SEQ_NO: '1' + FORMATTED_ID: 197803191K + items: + properties: + LIT: + type: object + description: |+ + Basic litigation info with following children: + SUBJECT_NAME + SEQ_NO + FORMATTED_ID + [LIST_LIT_DTL] + example: + LIT: + SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD + SEQ_NO: '1' + FORMATTED_ID: 197803191K + properties: + SUBJECT_NAME: + type: string + description: Name + example: "ENG YICK HOLDINGS PTE LTD" + SEQ_NO: + type: integer + description: Sequence No. + example: 1 + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + LIST_LIT_DTL: + type: array + description: |+ + List of litigation detail with following children: + [LIT_DTL] + example: + LIST_LIT_DTL: + LIT_DTL: + NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED + STATUS_DATE: 13/08/2001 + CASE_NO: MC 23631 / 2001 + FORMATTED_ID: 197803191K + DOC_REMARKS: WRIT OF SUMMONS + CURRENCY1: SIN + CURRENCY2: "-" + CURRENCY3: "-" + CURRENCY4: "-" + CURRENCY5: "-" + CASE_STATUS: PENDING AS AT STATUS DATE + AMOUNT1: '36,196.00' + AMOUNT2: '0.00' + AMOUNT3: '0.00' + AMOUNT4: '0.00' + AMOUNT5: '0.00' + LIST_PLAINTIFF: + PLAINTIFF: + - PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + - PLA_NAME: ABC PTE LTD + LAW_FIRM: JAMES & JOE + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: KHOO JAMES + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 X10 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + LIST_DEFENDANT: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + items: + properties: + LIT_DTL: + type: object + description: |+ + Litigation detail with following children: + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + FORMATTED_ID + DOC_REMARKS + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + CASE_STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + [LIST_PLAINTIFF] + [LIST_DEFENDANT] + example: + LIT_DTL: + NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED + STATUS_DATE: 13/08/2001 + CASE_NO: MC 23631 / 2001 + FORMATTED_ID: 197803191K + DOC_REMARKS: WRIT OF SUMMONS + CURRENCY1: SIN + CURRENCY2: "-" + CURRENCY3: "-" + CURRENCY4: "-" + CURRENCY5: "-" + CASE_STATUS: PENDING AS AT STATUS DATE + AMOUNT1: '36,196.00' + AMOUNT2: '0.00' + AMOUNT3: '0.00' + AMOUNT4: '0.00' + AMOUNT5: '0.00' + LIST_PLAINTIFF: + PLAINTIFF: + - PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + - PLA_NAME: ABC PTE LTD + LAW_FIRM: JAMES & JOE + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: KHOO JAMES + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 X10 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + LIST_DEFENDANT: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + properties: + NATURE_OF_CLAIM: + type: string + description: Nature of Claim + example: "CONTRACTS-WORK DONE & SERVICES RENDERED" + STATUS_DATE: + type: string + description: Status Date + example: "13/08/2001" + CASE_NO: + type: string + description: Case No. + example: "MC 23631 / 2001" + FORMATTED_ID: + type: string + description: Formatted ID + example: "197803191K" + DOC_REMARKS: + type: string + description: Document Remark + example: "WRIT OF SUMMONS" + CURRENCY1: + type: string + description: Currency 1 + example: "SIN" + CURRENCY2: + type: string + description: Currency 2 + example: + CURRENCY3: + type: string + description: Currency 3 + example: + CURRENCY4: + type: string + description: Currency 4 + example: + CURRENCY5: + type: string + description: Currency 5 + example: + CASE_STATUS: + type: string + description: Status + example: "PENDING AS AT STATUS DATE" + AMOUNT1: + type: string + description: Amount 1 + example: "36,196.00" + AMOUNT2: + type: string + description: Amount 2 + example: "0.00" + AMOUNT3: + type: string + description: Amount 3 + example: "0.00" + AMOUNT4: + type: string + description: Amount 4 + example: "0.00" + AMOUNT5: + type: string + description: Amount 5 + example: "0.00" + LIST_PLAINTIFF: + type: array + description: |+ + List of plaintiff with following children: + [PLAINTIFF] + example: + LIST_PLAINTIFF: + PLAINTIFF: + PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + items: + properties: + PLAINTIFF: + type: object + description: |+ + Plaintiff detail with following children: + PLA_NAME + LAW_FIRM + WRITE_DATE + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_STATUS + PLA_STATUS_DATE + PLA_ID + example: + PLAINTIFF: + PLA_NAME: ROTARY PILING PTE LTD + LAW_FIRM: JOSEPH HOO MORRIS & KUMAR + WRITE_DATE: 13/08/2001 + PLA_SOLICITOR: HOO JOSEPH + PLA_SOLICITOR_ID: ORS + PLA_FILE_REF: CHH 6253 D27 + PLA_STATUS: "-" + PLA_STATUS_DATE: "-" + PLA_ID: S7250163B + properties: + PLA_NAME: + type: string + description: Plaintiff Name + example: "ROTARY PILING PTE LTD" + LAW_FIRM: + type: string + description: Pla. Law Firm + example: "JOSEPH HOO MORRIS & KUMAR" + WRITE_DATE: + type: string + description: Writ date + example: "13/08/2001" + PLA_SOLICITOR: + type: string + description: Plaintiff Solicitor + example: "HOO JOSEPH" + PLA_SOLICITOR_ID: + type: string + description: Plaintiff Solicitor ID + example: "ORS" + PLA_FILE_REF: + type: string + description: Pla. File Ref. + example: "CHH 6253 D27" + PLA_STATUS: + type: string + description: Plaintiff Status + example: + PLA_STATUS_DATE: + type: string + description: Plaintiff Status Date + example: + PLA_ID: + type: string + description: Plaintiff ID + example: "S7250163B" + LIST_DEFENDANT: + type: array + description: |+ + List of defendant with following children: + [DEFENDANT] + example: + LIST_DEFENDANT: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + items: + properties: + DEFENDANT: + type: object + description: |+ + Defendant detail with following children: + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + example: + DEFENDANT: + DEF_SOLICITOR: "-" + DEF_SOLICITOR_ID: N/A + DEF_LAW_FIRM: "-" + DEF_FILE_REF: "-" + properties: + DEF_SOLICITOR: + type: string + description: Def. Solicitor + example: + DEF_SOLICITOR_ID: + type: string + description: Def. Solicitor ID + example: N/A + DEF_LAW_FIRM: + type: string + description: Def. Law Firm + example: + DEF_FILE_REF: + type: string + description: Def. File Ref. + example: + LIST_Ddrptcount: + type: array + description: |+ + List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: + [Ddrptcount] + example: + LIST_Ddrptcount: + Ddrptcount: + Rcjan: '1' + Rcfeb: '1' + Rcmar: '1' + Rcapr: '1' + Rcmay: '1' + Rcjun: '1' + Rcjul: '1' + Rcaug: '1' + Rcsep: '1' + Rcoct: '1' + Rcnov: '1' + Rcdec: '1' + Rcyear: '2017' + Rcsecflag: '1' + items: + properties: + Ddrptcount: + type: object + description: |+ + 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcyear + Rcsecflag + example: + Ddrptcount: + Rcjan: '1' + Rcfeb: '1' + Rcmar: '1' + Rcapr: '1' + Rcmay: '1' + Rcjun: '1' + Rcjul: '1' + Rcaug: '1' + Rcsep: '1' + Rcoct: '1' + Rcnov: '1' + Rcdec: '1' + Rcyear: '2017' + Rcsecflag: '1' + properties: + Rcjan: + type: integer + description: Count for January + example: "1" + Rcfeb: + type: integer + description: Count for February + example: "1" + Rcmar: + type: integer + description: Count for March + example: "1" + Rcapr: + type: integer + description: Count for April + example: "1" + Rcmay: + type: integer + description: Count for May + example: "1" + Rcjun: + type: integer + description: Count for June + example: "1" + Rcjul: + type: integer + description: Count for July + example: "1" + Rcaug: + type: integer + description: Count for August + example: "1" + Rcsep: + type: integer + description: Count for September + example: "1" + Rcoct: + type: integer + description: Count for October + example: "1" + Rcnov: + type: integer + description: Count for November + example: "1" + Rcdec: + type: integer + description: Count for December + example: "1" + Rcyear: + type: integer + description: To show the year + example: "1" + Rcsecflag: + type: integer + description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors + example: "1" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + total_items: + type: integer + example: 1 + description: Number of subjects being enquired relating to the Run + default: false + subject_idno: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + subject_name: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Optimized and Standardized results in Json Format + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json Format + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From cf3526c7f78c33b4498050b97a278a4119b74372 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:31:25 +0530 Subject: [PATCH 4654/5916] Rename d&b_brief_financial_information_sg.yaml to d&b_brief_financial_information_sg_v1.yaml --- ...rmation_sg.yaml => d&b_brief_financial_information_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{d&b_brief_financial_information_sg.yaml => d&b_brief_financial_information_sg_v1.yaml} (100%) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg_v1.yaml similarity index 100% rename from data/d&b_brief_financial_information_sg.yaml rename to data/d&b_brief_financial_information_sg_v1.yaml From 0324c1c4f50329a9b901d2b1d2226b86f89732d4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:31:55 +0530 Subject: [PATCH 4655/5916] Create d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 1616 ++++++++++++++++++ 1 file changed, 1616 insertions(+) create mode 100644 data/d&b_brief_financial_information_sg.yaml diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml new file mode 100644 index 000000000..03f7c457f --- /dev/null +++ b/data/d&b_brief_financial_information_sg.yaml @@ -0,0 +1,1616 @@ +openapi: 3.0.1 +info: + title: D&B Brief Financial Information (SG) + description: This Data microservice provides an annual financial information of Singapore-registered businesses which includes profit and loss and financial ratios. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios. + - Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. + version: '1.0.0' + x-subscribelink: d&b_brief_financial_information_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides an annual financial information of Singapore-registered businesses. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Apr 15, 2021" +paths: + /microservices/data/sbfe/v1/getdata: + post: + tags: + - v1.0.0 + summary: Adds a new user + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + META_INFO: + SERVICE: BFE + SYSTEM_ID: DDP + CREATION_DATE: 25/02/2009 17:31:44> + USER_ID: plcust102 + FH_SEARCH_INFO: + COMP_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. + REG_NO: 200003058W + REQ_DATE: '2009-04-21 10:56:06.716' + REQ_REG_NO: 200003058W + REQ_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. + REQ_DATE_STR: 21/04/2009 10:56:06 + FH_BEFORE_YR1: '2004' + FH_BEFORE_YR2: '2003' + FH_BEFORE_YR3: '2002' + FH_AFTER_YR1: '2005' + FH_AFTER_YR2: '2006' + FH_AFTER_YR3: '2007' + FH_AFTER_YR4: '2008' + FH_AFTER_YR5: '2009' + AC_RATIOS_YR1: '2008' + AC_RATIOS_YR2: '2007' + AC_RATIOS_YR3: '2006' + AC_RATIOS_YR4: '2005' + AC_RATIOS_YR5: '2004' + FH_DTL: + FH_YR1_CURR: "(SGD)" + FH_YR2_CURR: "(SGD)" + FH_YR3_CURR: "(SGD)" + TURNOVER1: '9403795.00' + TURNOVER2: '8617168.00' + TURNOVER3: '7807393.00' + PL_BEF_TAX1: '31467.00' + PL_BEF_TAX2: '162620.00' + PL_BEF_TAX3: '1281387.00' + PL_AFT_TAX1: '31467.00' + PL_AFT_TAX2: '162620.00' + PL_AFT_TAX3: '1281387.00' + NETINC_NON_EXT1: '0.00' + NETINC_NON_EXT2: '0.00' + NETINC_NON_EXT3: 60318.00> + PL_AFT_TAX_EXT1: '31467.00' + PL_AFT_TAX_EXT2: '162620.00' + PL_AFT_TAX_EXT3: '1341705.00' + TOT_ASSETS1: '3889213.00' + TOT_ASSETS2: '3395740.00' + TOT_ASSETS3: '4374368.00' + TA_CURRENT1: '3359007.00' + TA_CURRENT2: '2855754.00' + TA_CURRENT3: '3546381.00' + TA_FIXED1: '530206.00' + TA_FIXED2: '539986.00' + TA_FIXED3: 827987.00> + TOT_LIABILITIES1: '7370430.00' + TOT_LIABILITIES2: '6845490.00' + TOT_LIABILITIES3: '7661498.00' + TL_CURRENT1: '6739073.00' + TL_CURRENT2: '6157560.00' + TL_CURRENT3: '6435365.00' + TL_NON_CURRENT1: '631357.00' + TL_NON_CURRENT2: '687930.00' + TL_NON_CURRENT3: '122133.00' + SH_FUNDS1: "-3481217.00" + SH_FUNDS2: "-3449750.00" + SH_FUNDS3: "-3287130.00" + SH_PAIDUP_CAPITAL1: '2000000.00' + SH_PAIDUP_CAPITAL2: '2000000.00' + SH_PAIDUP_CAPITAL3: '2000000.00' + SH_RESERVES1: '0.00' + SH_RESERVES2: '0.00' + SH_RESERVES3: '0.00' + SH_ACCUM_LOSS1: '5481217.00' + SH_ACCUM_LOSS2: '5449750.00' + SH_ACCUM_LOSS3: '5287130.00' + GRP_TURNOVER1: '0.00' + GRP_TURNOVER2: '0.00' + GRP_TURNOVER3: '0.00' + GRP_PL_BEF_TAX1: '0.00' + GRP_PL_BEF_TAX2: '0.00' + GRP_PL_BEF_TAX3: '0.00' + GRP_PL_AFT_TAX1: '0.00' + GRP_PL_AFT_TAX2: '0.00' + GRP_PL_AFT_TAX3: '0.00' + GRP_NETINC_NON_EXT1: '0.00' + GRP_NETINC_NON_EXT2: '0.00' + GRP_NETINC_NON_EXT3: '0.00' + GRP_PL_AFT_TAX_EXT1: '0.00' + GRP_PL_AFT_TAX_EXT2: '0.00' + GRP_PL_AFT_TAX_EXT3: '0.00' + GRP_TOT_ASSETS1: '0.00' + GRP_TOT_ASSETS2: '0.00' + GRP_TOT_ASSETS3: '0.00' + GRP_TA_CURRENT1: '0.00' + GRP_TA_CURRENT2: '0.00' + GRP_TA_CURRENT3: '0.00' + GRP_TA_FIXED1: '0.00' + GRP_TA_FIXED2: '0.00' + GRP_TA_FIXED3: '0.00' + GRP_TOT_LIABILITIES1: '0.00' + GRP_TOT_LIABILITIES2: '0.00' + GRP_TOT_LIABILITIES3: '0.00' + GRP_TL_CURRENT1: '0.00' + GRP_TL_CURRENT2: '0.00' + GRP_TL_CURRENT3: '0.00' + GRP_TL_NON_CURRENT1: '0.00' + GRP_TL_NON_CURRENT2: '0.00' + GRP_TL_NON_CURRENT3: '0.00' + GRP_SH_FUNDS1: '0.00' + GRP_SH_FUNDS2: '0.00' + GRP_SH_FUNDS3: '0.00' + GRP_SH_PAIDUP_CAPITAL1: '0.00' + GRP_SH_PAIDUP_CAPITAL2: '0.00' + GRP_SH_PAIDUP_CAPITAL3: '0.00' + GRP_SH_RESERVES1: '0.00' + GRP_SH_RESERVES2: '0.00' + GRP_SH_RESERVES3: '0.00' + GRP_SH_ACCUM_LOSS1: '0.00' + GRP_SH_ACCUM_LOSS2: '0.00' + GRP_SH_ACCUM_LOSS3: '0.00' + GRP_INDICATOR1: B + GRP_INDICATOR2: B + GRP_INDICATOR3: B + XBRL_DTL: + XBRL_YR1_CURR: "(SGD)" + XBRL_YR2_CURR: "(SGD)" + REVENUE1: '10877254.00' + REVENUE2: '9982533.00' + PL_BEF_TAX1: '1121483.00' + PL_BEF_TAX2: '262632.00' + PL_AFT_TAX1: '1347380.00' + PL_AFT_TAX2: '262632.00' + TOT_ASSETS1: '6562990.00' + TOT_ASSETS2: '5424551.00' + TA_CURRENT1: '6283449.00' + TA_CURRENT2: '4948821.00' + TA_NON_CURRENT1: '279541.00' + TA_NON_CURRENT2: '475730.00' + TOT_LIABILITIES1: '8434195.00' + TOT_LIABILITIES2: '8643136.00' + TL_CURRENT1: '8434195.00' + TL_CURRENT2: '7933013.00' + TL_NON_CURRENT1: '0.00' + TL_NON_CURRENT2: '710123.00' + TOT_EQUITY1: "-1871205.00" + TOT_EQUITY2: "-3218585.00" + EQ_SH_CAPITAL1: '2000000.00' + EQ_SH_CAPITAL2: '2000000.00' + EQ_RESERVES1: '0.00' + EQ_RESERVES2: '0.00' + EQ_RETAINED_EARN1: "-3,871,205.00" + EQ_RETAINED_EARN2: "-5,218,585.00" + GRP_REVENUE1: '0.00' + GRP_REVENUE2: '0.00' + GRP_PL_BEF_TAX1: '0.00' + GRP_PL_BEF_TAX2: '0.00' + GRP_PL_AFT_TAX1: '0.00' + GRP_PL_AFT_TAX2: '0.00' + GRP_TOT_ASSETS1: '0.00' + GRP_TOT_ASSETS2: '0.00' + GRP_TA_CURRENT1: '0.00' + GRP_TA_CURRENT2: '0.00' + GRP_TA_NON_CURRENT1: '0.00' + GRP_TA_NON_CURRENT2: '0.00' + GRP_TOT_LIABILITIES1: '0.00' + GRP_TOT_LIABILITIES2: '0.00' + GRP_TL_CURRENT1: '0.00' + GRP_TL_CURRENT2: '0.00' + GRP_TL_NON_CURRENT1: '0.00' + GRP_TL_NON_CURRENT2: '0.00' + GRP_TOT_EQUITY1: '0.00' + GRP_TOT_EQUITY2: '0.00' + GRP_SH_CAPITAL1: '0.00' + GRP_SH_CAPITAL2: '0.00' + GRP_RESERVES1: '0.00' + GRP_RESERVES2: '0.00' + GRP_RETAINED_EARN1: '0.00' + GRP_RETAINED_EARN2: '0.00' + GRP_INDICATOR1: B + GRP_INDICATOR2: B + GRP_INDICATOR3: B + FH_RATIOS_DTL: + RATE_NET_PROFIT1: '12.39' + RATE_NET_PROFIT2: '2.63' + RATE_NET_PROFIT3: '0.00' + RATE_NET_PROFIT4: '0.00' + RATE_NET_PROFIT5: '0.00' + RET_INVESTMENT1: '20.53' + RET_INVESTMENT2: '4.84' + RET_INVESTMENT3: '0.00' + RET_INVESTMENT4: '0.00' + RET_INVESTMENT5: '0.00' + RET_SH_FUNDS1: "-72.01" + RET_SH_FUNDS2: "-8.16" + RET_SH_FUNDS3: "-0.00" + RET_SH_FUNDS4: "-0.00" + RET_SH_FUNDS5: "-0.00" + TOT_ASSETS_TURNOVER1: '1.66' + TOT_ASSETS_TURNOVER2: '1.84' + TOT_ASSETS_TURNOVER3: '2.42' + TOT_ASSETS_TURNOVER4: '2.54' + TOT_ASSETS_TURNOVER5: '1.78' + CURR_CAPITAL_RATIO1: '0.74' + CURR_CAPITAL_RATIO2: '0.62' + CURR_CAPITAL_RATIO3: '0.50' + CURR_CAPITAL_RATIO4: '0.46' + CURR_CAPITAL_RATIO5: '0.55' + PROPRIETARY_RATIO1: "-28.51" + PROPRIETARY_RATIO2: "-59.33" + PROPRIETARY_RATIO3: "-89.51" + PROPRIETARY_RATIO4: "-101.59" + PROPRIETARY_RATIO5: "-75.15" + TOTAL_DEBT_RATIO1: '128.51' + TOTAL_DEBT_RATIO2: '168.27' + TOTAL_DEBT_RATIO3: '189.51' + TOTAL_DEBT_RATIO4: '201.59' + TOTAL_DEBT_RATIO5: '175.15' + LIST_FH_CHART_INFO: + - PROFIT_LOSS: '1121483.0' + REVENUE: '10877254' + YEAR: '2008' + - PROFIT_LOSS: 262632.0> + REVENUE: '9982533' + YEAR: '2007' + - PROFIT_LOSS: "-31467.0" + REVENUE: '9403795' + YEAR: '2006' + - PROFIT_LOSS: "-162620.0" + REVENUE: '8617168' + YEAR: '2005' + - PROFIT_LOSS: "-1281387.0" + REVENUE: '7807393' + YEAR: '2004' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + description: |+ + Report details with following children: + [META_INFO] + [FH_SEARCH_INFO] + [FH_DTL] + [XBRL_DTL] + [FH_RATIO_DTL] + [LIST_FH_CHART_INFO] + example: + properties: + META_INFO: + type: object + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + example: + META_INFO: + SERVICE: BFE + SYSTEM_ID: DDP + CREATION_DATE: 25/02/2009 17:31:44> + USER_ID: plcust102 + properties: + SERVICE: + type: string + description: Report Requested + example: "BFE" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: string + description: Report Request Date + example: "25/02/2009 17:31:44" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + FH_SEARCH_INFO: + type: object + description: |+ + FH search information with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + FH_BEFORE_YR1 + FH_BEFORE_YR2 + FH_BEFORE_YR3 + FH_BEFORE_YR4 + FH_BEFORE_YR5 + FH_AFTER_YR1 + FH_AFTER_YR2 + FH_AFTER_YR3 + FH_AFTER_YR4 + FH_AFTER_YR5 + AC_RATIOS_YR1 + AC_RATIOS_YR2 + AC_RATIOS_YR3 + AC_RATIOS_YR4 + AC_RATIOS_YR5 + example: + FH_SEARCH_INFO: + COMP_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. + REG_NO: 200003058W + REQ_DATE: '2009-04-21 10:56:06.716' + REQ_REG_NO: 200003058W + REQ_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. + REQ_DATE_STR: 21/04/2009 10:56:06 + FH_BEFORE_YR1: '2004' + FH_BEFORE_YR2: '2003' + FH_BEFORE_YR3: '2002' + FH_AFTER_YR1: '2005' + FH_AFTER_YR2: '2006' + FH_AFTER_YR3: '2007' + FH_AFTER_YR4: '2008' + FH_AFTER_YR5: '2009' + AC_RATIOS_YR1: '2008' + AC_RATIOS_YR2: '2007' + AC_RATIOS_YR3: '2006' + AC_RATIOS_YR4: '2005' + AC_RATIOS_YR5: '2004' + properties: + COMP_NAME : + type: string + description: Company Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REG_NO : + type: string + description: Company Registration No + example: "200003058W" + REQ_DATE : + type: datetime + description: Requested Date + example: "2009-04-21 10:56:06.716" + REQ_REG_NO : + type: string + description: Request Registration Number + example: "200003058W" + REQ_NAME : + type: string + description: Request Name + example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." + REQ_DATE_STR : + type: string + description: Request Date String + example: "21/04/2009 10:56:06" + FH_BEFORE_YR1 : + type: string + description: Financial Highlight filed before year 1 + example: "2004" + FH_BEFORE_YR2 : + type: string + description: Financial Highlight filed before year 2 + example: "2003" + FH_BEFORE_YR3 : + type: string + description: Financial Highlight filed before year 3 + example: "2002" + FH_AFTER_YR1: + type: string + description: Financial Highlight filed after year 1 + example: "2005" + FH_AFTER_YR2 : + type: string + description: Financial Highlight filed after year 2 + example: "2006" + FH_AFTER_YR3 : + type: string + description: Financial Highlight filed after year 3 + example: "2007" + FH_AFTER_YR4: + type: string + description: Financial Highlight filed after year 4 + example: "2008" + FH_AFTER_YR5: + type: string + description: Financial Highlight filed after year 5 + example: "2009" + AC_RATIOS_YR1 : + type: string + description: Account Ratio year 1 + example: "2008" + AC_RATIOS_YR2 : + type: string + description: Account Ratio year 2 + example: "2007" + AC_RATIOS_YR3 : + type: string + description: Account Ratio year 3 + example: "2006" + AC_RATIOS_YR4 : + type: string + description: Account Ratio year 4 + example: "2005" + AC_RATIOS_YR5 : + type: string + description: Account Ratio year 5 + example: "2004" + FH_DTL: + type: object + description: |+ + Financial Highlight with following children: + FH_YR1_CURR + TURNOVER1 + PL_BEF_TAX1 + PL_AFT_TAX1 + NETINC_NON_EXT1 + PL_AFT_TAX_EXT1 + TOT_ASSETS1 + TA_CURRENT1 + TA_FIXED1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + SH_FUNDS1 + SH_PAIDUP_CAPITAL1 + SH_RESERVES1 + SH_ACCUM_LOSS1 + GRP_TURNOVER1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_NETINC_NON_EXT1 + GRP_PL_AFT_TAX_EXT1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_FIXED1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_SH_FUNDS1 + GRP_SH_PAIDUP_CAPITAL1 + GRP_SH_RESERVES1 + GRP_SH_ACCUM_LOSS1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. + example: + FH_DTL: + FH_YR1_CURR: "(SGD)" + FH_YR2_CURR: "(SGD)" + FH_YR3_CURR: "(SGD)" + TURNOVER1: '9403795.00' + TURNOVER2: '8617168.00' + TURNOVER3: '7807393.00' + PL_BEF_TAX1: '31467.00' + PL_BEF_TAX2: '162620.00' + PL_BEF_TAX3: '1281387.00' + PL_AFT_TAX1: '31467.00' + PL_AFT_TAX2: '162620.00' + PL_AFT_TAX3: '1281387.00' + NETINC_NON_EXT1: '0.00' + NETINC_NON_EXT2: '0.00' + NETINC_NON_EXT3: 60318.00> + PL_AFT_TAX_EXT1: '31467.00' + PL_AFT_TAX_EXT2: '162620.00' + PL_AFT_TAX_EXT3: '1341705.00' + TOT_ASSETS1: '3889213.00' + TOT_ASSETS2: '3395740.00' + TOT_ASSETS3: '4374368.00' + TA_CURRENT1: '3359007.00' + TA_CURRENT2: '2855754.00' + TA_CURRENT3: '3546381.00' + TA_FIXED1: '530206.00' + TA_FIXED2: '539986.00' + TA_FIXED3: 827987.00> + TOT_LIABILITIES1: '7370430.00' + TOT_LIABILITIES2: '6845490.00' + TOT_LIABILITIES3: '7661498.00' + TL_CURRENT1: '6739073.00' + TL_CURRENT2: '6157560.00' + TL_CURRENT3: '6435365.00' + TL_NON_CURRENT1: '631357.00' + TL_NON_CURRENT2: '687930.00' + TL_NON_CURRENT3: '122133.00' + SH_FUNDS1: "-3481217.00" + SH_FUNDS2: "-3449750.00" + SH_FUNDS3: "-3287130.00" + SH_PAIDUP_CAPITAL1: '2000000.00' + SH_PAIDUP_CAPITAL2: '2000000.00' + SH_PAIDUP_CAPITAL3: '2000000.00' + SH_RESERVES1: '0.00' + SH_RESERVES2: '0.00' + SH_RESERVES3: '0.00' + SH_ACCUM_LOSS1: '5481217.00' + SH_ACCUM_LOSS2: '5449750.00' + SH_ACCUM_LOSS3: '5287130.00' + GRP_TURNOVER1: '0.00' + GRP_TURNOVER2: '0.00' + GRP_TURNOVER3: '0.00' + GRP_PL_BEF_TAX1: '0.00' + GRP_PL_BEF_TAX2: '0.00' + GRP_PL_BEF_TAX3: '0.00' + GRP_PL_AFT_TAX1: '0.00' + GRP_PL_AFT_TAX2: '0.00' + GRP_PL_AFT_TAX3: '0.00' + GRP_NETINC_NON_EXT1: '0.00' + GRP_NETINC_NON_EXT2: '0.00' + GRP_NETINC_NON_EXT3: '0.00' + GRP_PL_AFT_TAX_EXT1: '0.00' + GRP_PL_AFT_TAX_EXT2: '0.00' + GRP_PL_AFT_TAX_EXT3: '0.00' + GRP_TOT_ASSETS1: '0.00' + GRP_TOT_ASSETS2: '0.00' + GRP_TOT_ASSETS3: '0.00' + GRP_TA_CURRENT1: '0.00' + GRP_TA_CURRENT2: '0.00' + GRP_TA_CURRENT3: '0.00' + GRP_TA_FIXED1: '0.00' + GRP_TA_FIXED2: '0.00' + GRP_TA_FIXED3: '0.00' + GRP_TOT_LIABILITIES1: '0.00' + GRP_TOT_LIABILITIES2: '0.00' + GRP_TOT_LIABILITIES3: '0.00' + GRP_TL_CURRENT1: '0.00' + GRP_TL_CURRENT2: '0.00' + GRP_TL_CURRENT3: '0.00' + GRP_TL_NON_CURRENT1: '0.00' + GRP_TL_NON_CURRENT2: '0.00' + GRP_TL_NON_CURRENT3: '0.00' + GRP_SH_FUNDS1: '0.00' + GRP_SH_FUNDS2: '0.00' + GRP_SH_FUNDS3: '0.00' + GRP_SH_PAIDUP_CAPITAL1: '0.00' + GRP_SH_PAIDUP_CAPITAL2: '0.00' + GRP_SH_PAIDUP_CAPITAL3: '0.00' + GRP_SH_RESERVES1: '0.00' + GRP_SH_RESERVES2: '0.00' + GRP_SH_RESERVES3: '0.00' + GRP_SH_ACCUM_LOSS1: '0.00' + GRP_SH_ACCUM_LOSS2: '0.00' + GRP_SH_ACCUM_LOSS3: '0.00' + GRP_INDICATOR1: B + GRP_INDICATOR2: B + GRP_INDICATOR3: B + properties: + FH_YR1_CURR : + type: string + description: |+ + FH Before Year 1 Currency + Subsequent Years: + FH_YR2_CURR + FH_YR3_CURR + FH_YR4_CURR + FH_YR5_CURR + example: "(SGD)" + TURNOVER1 : + type: string + description: |+ + Turnover / Sales And Other Operating Revenues + Subsequent Years: + TURNOVER2 + TURNOVER3 + TURNOVER4 + TURNOVER5 + example: "9403795.00" + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: "31467.00" + PL_AFT_TAX1: + type: string + description: |+ + Profit / Loss After Tax + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: "31467.00" + NETINC_NON_EXT1: + type: string + description: |+ + Net Income / Loss From Extraordinary And Non- Operating Items + Subsequent Years: + NETINC_NON_EXT2 + NETINC_NON_EXT3 + NETINC_NON_EXT4 + NETINC_NON_EXT5 + example: "0.00" + PL_AFT_TAX_EXT1 : + type: string + description: |+ + Profit / Loss After Tax and Extraordinary Items + Subsequent Years: + PL_AFT_TAX_EXT2 + PL_AFT_TAX_EXT3 + PL_AFT_TAX_EXT4 + PL_AFT_TAX_EXT5 + example: "31467.00" + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: "3889213.00" + TA_CURRENT1 : + type: string + description: |+ + Total Assets - Current + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: "3359007.00" + TA_FIXED1 : + type: string + description: |+ + Total Assets – Fixed and Others + Subsequent Years: + TA_FIXED2 + TA_FIXED3 + TA_FIXED4 + TA_FIXED5 + example: "530206.00" + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: "7370430.00" + TL_CURRENT1 : + type: string + description: |+ + Total Liabilities - Current + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: "6739073.00" + TL_NON_CURRENT1 : + type: string + description: |+ + Total Liabilities – Non- Current & Long Term + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: "631357.00" + SH_FUNDS1: + type: string + description: |+ + Shareholder’s Fund + Subsequent Years: + SH_FUNDS2 + SH_FUNDS3 + SH_FUNDS4 + SH_FUNDS5 + example: "-3481217.00" + SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Shareholder’s Fund – Paid Up Capital + Subsequent Years: + SH_PAIDUP_CAPITAL2 + SH_PAIDUP_CAPITAL3 + SH_PAIDUP_CAPITAL4 + SH_PAIDUP_CAPITAL5 + example: "2000000.00" + SH_RESERVES1 : + type: string + description: |+ + Shareholder’s Fund - Reserves + Subsequent Years: + SH_RESERVES2 + SH_RESERVES3 + SH_RESERVES4 + SH_RESERVES5 + example: "0.00" + SH_ACCUM_LOSS1: + type: string + description: |+ + Shareholder’s Fund – Accumulated Loss + Subsequent Years: + SH_ACCUM_LOSS2 + SH_ACCUM_LOSS3 + SH_ACCUM_LOSS4 + SH_ACCUM_LOSS5 + example: "5481217.00" + GRP_TURNOVER1 : + type: string + description: |+ + Group Turnover / Sales and Other Operating Revenues + Subsequent Years: + GRP_TURNOVER2 + GRP_TURNOVER3 + GRP_TURNOVER4 + GRP_TURNOVER5 + example: "0.00" + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: "0.00" + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: "0.00" + GRP_NETINC_NON_EXT1 : + type: string + description: |+ + Group Net Income / Loss From Extraordinary and Non-Operating Items + Subsequent Years: + GRP_NETINC_NON_EXT2 + GRP_NETINC_NON_EXT3 + GRP_NETINC_NON_EXT4 + GRP_NETINC_NON_EXT5 + example: "0.00" + GRP_PL_AFT_TAX_EXT1: + type: string + description: |+ + Group Profit / Loss After Tax and Extraordinary items + Subsequent Years: + GRP_ PL_AFT_TAX_EXT2 + GRP_ PL_AFT_TAX_EXT3 + GRP_ PL_AFT_TAX_EXT4 + GRP_ PL_AFT_TAX_EXT5 + example: "0.00" + GRP_TOT_ASSETS1: + type: string + description: |+ + Group Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: "0.00" + GRP_TA_CURRENT1 : + type: string + description: |+ + Group Total Assets – Current + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT5 + example: "0.00" + GRP_TA_FIXED1 : + type: string + description: |+ + Group Total Assets – Fixed and Others + Subsequent Years: + GRP_TA_FIXED2 + GRP_TA_FIXED3 + GRP_TA_FIXED4 + GRP_TA_FIXED5 + example: "0.00" + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: "0.00" + GRP_TL_CURRENT1 : + type: string + description: |+ + Group Total Liabilities - Current + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: "0.00" + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group Total Liabilities – Non-Current & Long Term + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: "0.00" + GRP_SH_FUNDS1 : + type: string + description: |+ + Group Shareholder’s Fund + Subsequent Years: + GRP_ SH_FUNDS2 + GRP_ SH_FUNDS3 + GRP_ SH_FUNDS4 + GRP_ SH_FUNDS5 + example: "0.00" + GRP_SH_PAIDUP_CAPITAL1 : + type: string + description: |+ + Group Shareholder’s Fund – Paid Up Capital + Subsequent Years: + GRP_SH_PAIDUP_CAPITAL2 + GRP_SH_PAIDUP_CAPITAL3 + GRP_SH_PAIDUP_CAPITAL4 + GRP_SH_PAIDUP_CAPITAL5 + example: "0.00" + GRP_SH_RESERVES1: + type: string + description: |+ + Group Shareholder’s Fund - Reserves + Subsequent Years: + GRP_SH_RESERVES2 + GRP_SH_RESERVES3 + GRP_SH_RESERVES4 + GRP_SH_RESERVES5 + example: "0.00" + GRP_SH_ACCUM_LOSS1 : + type: string + description: |+ + Group Shareholder’s Fund – Accumulated Loss + Subsequent Years: + GRP_SH_ACCUM_LOSS2 + GRP_SH_ACCUM_LOSS3 + GRP_SH_ACCUM_LOSS4 + GRP_SH_ACCUM_LOSS5 + example: "0.00" + GRP_INDICATOR1 : + type: string + description: |+ + Company Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: "B" + XBRL_DTL: + type: object + description: |+ + XBRL filed after 1 Nov 2007 with following children: + XBRL_YR1_CURR + REVENUE1 + PL_BEF_TAX1 + PL_AFT_TAX1 + TOT_ASSETS1 + TA_CURRENT1 + TA_NON_CURRENT1 + TOT_LIABILITIES1 + TL_CURRENT1 + TL_NON_CURRENT1 + TOT_EQUITY1 + EQ_SH_CAPITAL1 + EQ_RESERVES1 + EQ_RETAINED_EARN1 + GRP_REVENUE1 + GRP_PL_BEF_TAX1 + GRP_PL_AFT_TAX1 + GRP_TOT_ASSETS1 + GRP_TA_CURRENT1 + GRP_TA_NON_CURRENT1 + GRP_TOT_LIABILITIES1 + GRP_TL_CURRENT1 + GRP_TL_NON_CURRENT1 + GRP_TOT_EQUITY1 + GRP_SH_CAPITAL1 + GRP_RESERVES1 + GRP_RETAINED_EARN1 + GRP_INDICATOR1 + + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. + example: + XBRL_DTL: + XBRL_YR1_CURR: "(SGD)" + XBRL_YR2_CURR: "(SGD)" + REVENUE1: '10877254.00' + REVENUE2: '9982533.00' + PL_BEF_TAX1: '1121483.00' + PL_BEF_TAX2: '262632.00' + PL_AFT_TAX1: '1347380.00' + PL_AFT_TAX2: '262632.00' + TOT_ASSETS1: '6562990.00' + TOT_ASSETS2: '5424551.00' + TA_CURRENT1: '6283449.00' + TA_CURRENT2: '4948821.00' + TA_NON_CURRENT1: '279541.00' + TA_NON_CURRENT2: '475730.00' + TOT_LIABILITIES1: '8434195.00' + TOT_LIABILITIES2: '8643136.00' + TL_CURRENT1: '8434195.00' + TL_CURRENT2: '7933013.00' + TL_NON_CURRENT1: '0.00' + TL_NON_CURRENT2: '710123.00' + TOT_EQUITY1: "-1871205.00" + TOT_EQUITY2: "-3218585.00" + EQ_SH_CAPITAL1: '2000000.00' + EQ_SH_CAPITAL2: '2000000.00' + EQ_RESERVES1: '0.00' + EQ_RESERVES2: '0.00' + EQ_RETAINED_EARN1: "-3,871,205.00" + EQ_RETAINED_EARN2: "-5,218,585.00" + GRP_REVENUE1: '0.00' + GRP_REVENUE2: '0.00' + GRP_PL_BEF_TAX1: '0.00' + GRP_PL_BEF_TAX2: '0.00' + GRP_PL_AFT_TAX1: '0.00' + GRP_PL_AFT_TAX2: '0.00' + GRP_TOT_ASSETS1: '0.00' + GRP_TOT_ASSETS2: '0.00' + GRP_TA_CURRENT1: '0.00' + GRP_TA_CURRENT2: '0.00' + GRP_TA_NON_CURRENT1: '0.00' + GRP_TA_NON_CURRENT2: '0.00' + GRP_TOT_LIABILITIES1: '0.00' + GRP_TOT_LIABILITIES2: '0.00' + GRP_TL_CURRENT1: '0.00' + GRP_TL_CURRENT2: '0.00' + GRP_TL_NON_CURRENT1: '0.00' + GRP_TL_NON_CURRENT2: '0.00' + GRP_TOT_EQUITY1: '0.00' + GRP_TOT_EQUITY2: '0.00' + GRP_SH_CAPITAL1: '0.00' + GRP_SH_CAPITAL2: '0.00' + GRP_RESERVES1: '0.00' + GRP_RESERVES2: '0.00' + GRP_RETAINED_EARN1: '0.00' + GRP_RETAINED_EARN2: '0.00' + GRP_INDICATOR1: B + GRP_INDICATOR2: B + GRP_INDICATOR3: B + properties: + XBRL_YR1_CURR: + type: string + description: |+ + FH After Year 1 Currency + Subsequent Years: + XBRL_YR2_CURR + XBRL_YR3_CURR + XBRL_YR4_CURR + XBRL_YR5_CURR + example: "(SGD)" + REVENUE1 : + type: string + description: |+ + Revenue Amount + Subsequent Years: + REVENUE2 + REVENUE3 + REVENUE4 + REVENUE5 + example: "10877254.00" + PL_BEF_TAX1 : + type: string + description: |+ + Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + PL_BEF_TAX2 + PL_BEF_TAX3 + PL_BEF_TAX4 + PL_BEF_TAX5 + example: "1121483.00" + PL_AFT_TAX1 : + type: string + description: |+ + Profit / Loss After Tax from Continuing Operations + Subsequent Years: + PL_AFT_TAX2 + PL_AFT_TAX3 + PL_AFT_TAX4 + PL_AFT_TAX5 + example: "1347380.00" + TOT_ASSETS1 : + type: string + description: |+ + Total Assets + Subsequent Years: + TOT_ASSETS2 + TOT_ASSETS3 + TOT_ASSETS4 + TOT_ASSETS5 + example: "6562990.00" + TA_CURRENT1 : + type: string + description: |+ + Total Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_CURRENT2 + TA_CURRENT3 + TA_CURRENT4 + TA_CURRENT5 + example: "6283449.00" + TA_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TA_NON_CURRENT2 + TA_NON_CURRENT3 + TA_NON_CURRENT4 + TA_NON_CURRENT5 + example: "279541.00" + TOT_LIABILITIES1 : + type: string + description: |+ + Total Liabilities + Subsequent Years: + TOT_LIABILITIES2 + TOT_LIABILITIES3 + TOT_LIABILITIES4 + TOT_LIABILITIES5 + example: "8434195.00" + TL_CURRENT1 : + type: string + description: |+ + Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) + Subsequent Years: + TL_CURRENT2 + TL_CURRENT3 + TL_CURRENT4 + TL_CURRENT5 + example: "8434195.00" + TL_NON_CURRENT1 : + type: string + description: |+ + Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + TL_NON_CURRENT2 + TL_NON_CURRENT3 + TL_NON_CURRENT4 + TL_NON_CURRENT5 + example: "0.00" + TOT_EQUITY1 : + type: string + description: |+ + Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + TOT_EQUITY2 + TOT_EQUITY3 + TOT_EQUITY4 + TOT_EQUITY5 + example: "-1871205.00" + EQ_SH_CAPITAL1 : + type: string + description: |+ + Total Equity – Share Capital + Subsequent Years: + EQ_SH_CAPITAL2 + EQ_SH_CAPITAL3 + EQ_SH_CAPITAL4 + EQ_SH_CAPITAL5 + example: "2000000.00" + EQ_RESERVES1 : + type: string + description: |+ + Total Equity – Other Reserves + Subsequent Years: + EQ_RESERVES2 + EQ_RESERVES3 + EQ_RESERVES4 + EQ_RESERVES5 + example: "0.00" + EQ_RETAINED_EARN1 : + type: string + description: |+ + Total Equity – Retained Earnings (Accumulated Loss) + Subsequent Years: + EQ_RETAINED_EARN2 + EQ_RETAINED_EARN3 + EQ_RETAINED_EARN4 + EQ_RETAINED_EARN5 + example: "-3,871,205.00" + GRP_REVENUE1 : + type: string + description: |+ + Group’s Revenue Amount + Subsequent Years: + GRP_REVENUE2 + GRP_REVENUE3 + GRP_REVENUE4 + GRP_REVENUE5 + example: "0.00" + GRP_PL_BEF_TAX1 : + type: string + description: |+ + Group Profit / Loss Before Tax from Continuing Operations + Subsequent Years: + GRP_PL_BEF_TAX2 + GRP_PL_BEF_TAX3 + GRP_PL_BEF_TAX4 + GRP_PL_BEF_TAX5 + example: "0.00" + GRP_PL_AFT_TAX1 : + type: string + description: |+ + Group Profit / Loss After Tax from Continuing Operations + Subsequent Years: + GRP_PL_AFT_TAX2 + GRP_PL_AFT_TAX3 + GRP_PL_AFT_TAX4 + GRP_PL_AFT_TAX5 + example: "0.00" + GRP_TOT_ASSETS1 : + type: string + description: |+ + Group’s Total Assets + Subsequent Years: + GRP_TOT_ASSETS2 + GRP_TOT_ASSETS3 + GRP_TOT_ASSETS4 + GRP_TOT_ASSETS5 + example: "0.00" + GRP_TA_CURRENT1 : + type: string + description: |+ + Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_CURRENT2 + GRP_TA_CURRENT3 + GRP_TA_CURRENT4 + GRP_TA_CURRENT4 + example: "0.00" + GRP_TA_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TA_NON_CURRENT2 + GRP_TA_NON_CURRENT3 + GRP_TA_NON_CURRENT4 + GRP_TA_NON_CURRENT4 + example: "0.00" + GRP_TOT_LIABILITIES1 : + type: string + description: |+ + Group’s Total Liabilities + Subsequent Years: + GRP_TOT_LIABILITIES2 + GRP_TOT_LIABILITIES3 + GRP_TOT_LIABILITIES4 + GRP_TOT_LIABILITIES5 + example: "0.00" + GRP_TL_CURRENT1 : + type: string + description: |+ + Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_CURRENT2 + GRP_TL_CURRENT3 + GRP_TL_CURRENT4 + GRP_TL_CURRENT5 + example: "0.00" + GRP_TL_NON_CURRENT1 : + type: string + description: |+ + Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) + Subsequent Years: + GRP_TL_NON_CURRENT2 + GRP_TL_NON_CURRENT3 + GRP_TL_NON_CURRENT4 + GRP_TL_NON_CURRENT5 + example: "0.00" + GRP_TOT_EQUITY1 : + type: string + description: |+ + Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) + Subsequent Years: + GRP_TOT_EQUITY2 + GRP_TOT_EQUITY3 + GRP_TOT_EQUITY4 + GRP_TOT_EQUITY5 + example: "0.00" + GRP_SH_CAPITAL1 : + type: string + description: |+ + Group’s Share Capital + Subsequent Years: + GRP_SH_CAPITAL2 + GRP_SH_CAPITAL3 + GRP_SH_CAPITAL4 + GRP_SH_CAPITAL5 + example: "0.00" + GRP_RESERVES1 : + type: string + description: |+ + Group’s Other Reserves + Subsequent Years: + GRP_RESERVES2 + GRP_RESERVES3 + GRP_RESERVES4 + GRP_RESERVES5 + example: "0.00" + GRP_RETAINED_EARN1 : + type: string + description: |+ + Group’s – Retained Earnings (Accumulated Loss) + Subsequent Years: + GRP_RETAINED_EARN2 + GRP_RETAINED_EARN3 + GRP_RETAINED_EARN4 + GRP_RETAINED_EARN5 + example: "0.00" + GRP_INDICATOR1 : + type: string + description: |+ + XBRL Financial Highlights Group Indicator + Subsequent Years: + GRP_INDICATOR2 + GRP_INDICATOR3 + GRP_INDICATOR4 + GRP_INDICATOR5 + example: "B" + FH_RATIOS_DTL: + type: object + description: |+ + Accounting Ratios Details with following children: + RATE_NET_PROFIT1 + RET_INVESTMENT1 + RET_SH_FUNDS1 + TOT_ASSETS_TURNOVER1 + CURR_CAPITAL_RATIO1 + PROPRIETARY_RATIO1 + TOTAL_DEBT_RATIO1 + Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. + example: + FH_RATIOS_DTL: + RATE_NET_PROFIT1: '12.39' + RATE_NET_PROFIT2: '2.63' + RATE_NET_PROFIT3: '0.00' + RATE_NET_PROFIT4: '0.00' + RATE_NET_PROFIT5: '0.00' + RET_INVESTMENT1: '20.53' + RET_INVESTMENT2: '4.84' + RET_INVESTMENT3: '0.00' + RET_INVESTMENT4: '0.00' + RET_INVESTMENT5: '0.00' + RET_SH_FUNDS1: "-72.01" + RET_SH_FUNDS2: "-8.16" + RET_SH_FUNDS3: "-0.00" + RET_SH_FUNDS4: "-0.00" + RET_SH_FUNDS5: "-0.00" + TOT_ASSETS_TURNOVER1: '1.66' + TOT_ASSETS_TURNOVER2: '1.84' + TOT_ASSETS_TURNOVER3: '2.42' + TOT_ASSETS_TURNOVER4: '2.54' + TOT_ASSETS_TURNOVER5: '1.78' + CURR_CAPITAL_RATIO1: '0.74' + CURR_CAPITAL_RATIO2: '0.62' + CURR_CAPITAL_RATIO3: '0.50' + CURR_CAPITAL_RATIO4: '0.46' + CURR_CAPITAL_RATIO5: '0.55' + PROPRIETARY_RATIO1: "-28.51" + PROPRIETARY_RATIO2: "-59.33" + PROPRIETARY_RATIO3: "-89.51" + PROPRIETARY_RATIO4: "-101.59" + PROPRIETARY_RATIO5: "-75.15" + TOTAL_DEBT_RATIO1: '128.51' + TOTAL_DEBT_RATIO2: '168.27' + TOTAL_DEBT_RATIO3: '189.51' + TOTAL_DEBT_RATIO4: '201.59' + TOTAL_DEBT_RATIO5: '175.15' + properties: + RATE_NET_PROFIT1 : + type: string + description: |+ + Rate of Net Profit On Sales (%) + Subsequent Years: + RATE_NET_PROFIT2 + RATE_NET_PROFIT3 + RATE_NET_PROFIT4 + RATE_NET_PROFIT5 + example: "12.39" + RET_INVESTMENT1 : + type: string + description: |+ + Return of Investment (%) + Subsequent Years: + RET_INVESTMENT2 + RET_INVESTMENT3 + RET_INVESTMENT4 + RET_INVESTMENT5 + example: "20.53" + RET_SH_FUNDS1 : + type: string + description: |+ + Return of Shareholder’s Funds (%) + Subsequent Years: + RET_SH_FUNDS2 + RET_SH_FUNDS3 + RET_SH_FUNDS4 + RET_SH_FUNDS4 + example: "-72.01" + TOT_ASSETS_TURNOVER1 : + type: string + description: |+ + Total Assets Turnover (%) + Subsequent Years: + TOT_ASSETS_TURNOVER2 + TOT_ASSETS_TURNOVER3 + TOT_ASSETS_TURNOVER4 + TOT_ASSETS_TURNOVER5 + example: "1.66" + CURR_CAPITAL_RATIO1: + type: string + description: |+ + Current / Working Capital Ratio (%) + Subsequent Years: + CURR_CAPITAL_RATIO2 + CURR_CAPITAL_RATIO3 + CURR_CAPITAL_RATIO4 + CURR_CAPITAL_RATIO5 + example: "0.74" + PROPRIETARY_RATIO1: + type: string + description: |+ + Proprietary Ratio (%) 1 + Subsequent Years: + PROPRIETARY_RATIO2 + PROPRIETARY_RATIO3 + PROPRIETARY_RATIO4 + PROPRIETARY_RATIO5 + example: "-28.51" + TOTAL_DEBT_RATIO1 : + type: string + description: |+ + Total Debt to Equity Ratio (%) 1 + Subsequent Years: + TOTAL_DEBT_RATIO2 + TOTAL_DEBT_RATIO3 + TOTAL_DEBT_RATIO4 + TOTAL_DEBT_RATIO5 + example: "128.51" + LIST_FH_CHART_INFO : + type: array + example: + LIST_FH_CHART_INFO: + FH_CHART_INFO: + PROFIT_LOSS: '1121483.0' + REVENUE: '10877254' + YEAR: '2008' + description: |+ + List of chart info with following children: + [FH_CHART_INFO] + items: + properties: + FH_CHART_INFO: + type: object + description: |+ + Chart Info info with following children: + YEAR + REVENUE + PROFIT_LOSS + properties: + PROFIT_LOSS: + type: string + example: "1121483.0" + description: Profit / Loss Before Tax of the year + REVENUE: + type: string + example: "10877254" + description: Revenue Amount of the year + YEAR: + type: string + example: "2008" + description: Financial Year + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + total_items: + type: integer + format: int32 + example: 1 + description: Number of subjects being enquired relating to the search. + default: false + subject_idno: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + subject_name: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects Name as captured in DDP + default: false + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json format + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 1d7a655d9e11707c3de5fffb04d195edb88623ac Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:33:23 +0530 Subject: [PATCH 4656/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index 03f7c457f..688ea3e9a 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -6,7 +6,7 @@ info: Suggested Use Cases: - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios. - Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. - version: '1.0.0' + version: '1.1.0' x-subscribelink: d&b_brief_financial_information_sg x-apitype: small file x-apitypedescription: |+ @@ -22,15 +22,15 @@ info: x-apidetailsdesc: |+ Provides an annual financial information of Singapore-registered businesses. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" +- name: "v1.1.0" + description: "Published Date - Jun 30, 2022 paths: /microservices/data/sbfe/v1/getdata: post: tags: - - v1.0.0 + - v1.1.0 summary: Adds a new user requestBody: content: @@ -1591,6 +1591,14 @@ components: versions: type: object properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Optimized and Standardized results in Json format + description: Latest Version v1.0.0: type: array items: @@ -1598,7 +1606,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json format - description: Latest Version + description: Archived v0.1.0: type: array items: From ed2939fecacf6fa41a24b27d58acfdeff19de8e7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:34:11 +0530 Subject: [PATCH 4657/5916] Rename d&b_business_check_plus_sg.yaml to d&b_business_check_plus_sg_v1.yaml --- ...ness_check_plus_sg.yaml => d&b_business_check_plus_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{d&b_business_check_plus_sg.yaml => d&b_business_check_plus_sg_v1.yaml} (100%) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg_v1.yaml similarity index 100% rename from data/d&b_business_check_plus_sg.yaml rename to data/d&b_business_check_plus_sg_v1.yaml From 0ce9f99cb544ef6736a0a734bc7356c7271180e5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:35:41 +0530 Subject: [PATCH 4658/5916] Create d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 2510 ++++++++++++++++++++++++++ 1 file changed, 2510 insertions(+) create mode 100644 data/d&b_business_check_plus_sg.yaml diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml new file mode 100644 index 000000000..642d83ab9 --- /dev/null +++ b/data/d&b_business_check_plus_sg.yaml @@ -0,0 +1,2510 @@ +openapi: 3.0.1 +info: + title: D&B Business Check Plus (SG) + description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace (winding up records) of a company which includes the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships. + - Aside from being able to protect your business via litigation checks to safeguard against reputational risk by avoiding companies potentially involved in financial crimes, the information from this microservice can serve as a quick solution for analysts or lawyers in a company whom are looking to draft documents related to cooperate finance or legal domains with one quick search. + version: '1.1.0' + x-subscribelink: d&b_business_check_plus_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides key business information, litigation information and and Winding Up Trace of a company. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.1.0" + description: "Published Date - Jun 30, 2021" +paths: + /microservices/data/sbcp/v1/getdata: + post: + tags: + - v1.1.0 + summary: Adds a new user + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + REPORT: + META_INFO: + SERVICE: + "@type": String + "#text": BCP + SYSTEM_ID: + "@type": String + "#text": DDP + CREATION_DATE: + "@type": Date + "#text": Wed Apr 08 11:37:51 MYT 2009 + USER_ID: + "@type": String + CLASS: + "@type": String + "#text": class com.technodex.ddp.xmlbean.MetaBean + REGISTRY_DETAIL: + "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean + RENEWAL_DATE: + "@type": String + "#text": 23/12/2008 + ADDRESS1: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01 + ADDRESS2: + "@type": String + "#text": KEPPEL BAY TOWER + ADDRESS3: + "@type": String + "#text": '098632' + ADDRESS4: + "@type": String + "#text": SINGAPORE + COMP_TYPE_CODE: + "@type": String + "#text": CP + REG_DATE: + "@type": String + "#text": 14/10/1974 + REG_ACTIVITY1: + "@type": String + "#text": OTHER INVESTMENT HOLDING COMPANIES + REG_ACTIVITY2: + "@type": String + "#text": SHIP MANAGEMENT SERVICES + ACC_DATE: + "@type": String + "#text": 31/12/2007 + STATUS_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + NAME_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + EXPIRY_DATE: + "@type": String + "#text": 25/10/2009 + COMP_TYPE: + "@type": String + "#text": LIMITED PRIVATE COMPANY + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + COMP_STATUS: + "@type": String + "#text": Live Company + REG_ACTIVITY_DESC1: + "@type": String + "#text": "-" + REG_ACTIVITY_DESC2: + "@type": String + "#text": "-" + AUDITOR: + "@type": String + "#text": "-" + AUDITOR_APPMT_DATE: + "@type": String + "#text": 13/06/1990 + LAST_AR_DATE: + "@type": String + "#text": 30/06/2008 + LAST_AGM_DATE: + "@type": String + "#text": 11/06/2008 + COUNTRY_INCORP: + "@type": String + "#text": SINGAPORE + REQ_SEARCH_INFO: + "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean + COMP_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REG_NO: + "@type": String + "#text": 197401835M + REQ_DATE: + "@type": Date + "#text": '2009-04-08 11:36:03.611' + REQ_REG_NO: + "@type": String + "#text": 197401835M + REQ_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REQ_DATE_STR: + "@type": String + "#text": '08/04/2009 11:36:03' + EMPLOYEE_SIZE: + ELEMENTS: Employee Size + AMOUNT: '300' + LIST_BIZ_BRANCH: + "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + LIST_REG_CHARGES: + "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean + REG_CHARGES: + - CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '1000.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + - CHARGE_NO: + "@type": String + "#text": '8000976' + CHARGE_DATE: + "@type": String + "#text": 21/04/1980 + CHARGEE_COMP: + "@type": String + "#text": THE DEVELOPMENT BANK OF SINGAPORE LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": All Monies + STATUS_SATISFACTION: + "@type": String + "#text": "-" + LIST_LIQUIDATOR: + LIQUIDATOR: + - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + - LIQ_NAME: ANGELA ANG + LIQ_ID: S1633336D + LIQ_POSITION: Liquidator + LIQ_COMP: KING FINANCIAL ADVISORY SERVICES + LIQ_ADDRESS1: LEVEL 17 MLC CENTRE 19029 + LIQ_ADDRESS2: MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA + LIQ_APPOINTMENT_DATE: 18/02/2009 + LIST_WINDING_UP: + "@className": com.technodex.ddp.report.bean.CommercialBizWindingupBean + WINDING_UP: + CASE_CODE: + "@type": String + "#text": '40000' + CASE_YEAR: + "@type": String + "#text": '1999' + PLAINTIFF: + "@type": String + "#text": "-" + PLA_SOLICITOR_ID: + "@type": String + "#text": "-" + PLA_FILE_REF: + "@type": String + "#text": "-" + COURT_CODE: + "@type": String + "#text": CWU + CASE_TYPE: + "@type": String + "#text": COMPANY WINDING UP PETITION + CURRENCY1: + "@type": String + "#text": SGD + AMOUNT1: + "@type": String + "#text": '41,424.52' + CURRENCY2: + "@type": String + "#text": MYR + AMOUNT2: + "@type": String + "#text": '0.00' + CURRENCY3: + "@type": String + "#text": "-" + AMOUNT3: + "@type": String + "#text": '0.00' + BANKRUPTCY_ACT: + "@type": String + "#text": Petition for Winding Up + HEARING_DATE: + "@type": String + "#text": 15/12/2007 + ACTION_DATE: + "@type": String + "#text": 11/05/2007 + SUBJECT_NAME: + "@type": String + "#text": PROACTIVE BUILDERS + PLA_SOLICITOR: + "@type": String + "#text": "-" + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + LIST_LITIGATION: + "@className": com.technodex.ddp.report.bean.CommercialBizLitigationBean + LITIGATION: + SUBJECT_NAME: + "@type": String + "#text": SOON SOON SEAFOOD + NATURE_OF_CLAIM: + "@type": String + "#text": CONTRACT 3 + STATUS_DATE: + "@type": String + "#text": 01/05/2008 + CASE_NO: + "@type": String + "#text": MC 40001 / 1999 + DOC_REMARKS: + "@type": String + "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 + CURRENCY1: + "@type": String + "#text": SGD + CURRENCY2: + "@type": String + "#text": MYR + CURRENCY3: + "@type": String + "#text": USD + CURRENCY4: + "@type": String + "#text": "-" + CURRENCY5: + "@type": String + "#text": "-" + DEF_SOLICITOR: + "@type": String + "#text": SOL2 + DEF_SOLICITOR_ID: + "@type": String + "#text": '20000000' + DEF_LAW_FIRM: + "@type": String + "#text": NAME2 + DEF_FILE_REF: + "@type": String + "#text": FILE2 + DATE_OF_WRIT: + "@type": String + "#text": 01/01/2008 + STATUS: + "@type": String + "#text": CONCLUDED 3 + AMOUNT1: + "@type": String + "#text": '100.00' + AMOUNT2: + "@type": String + "#text": '200.00' + AMOUNT3: + "@type": String + "#text": '0.00' + AMOUNT4: + "@type": String + "#text": '400.00' + AMOUNT5: + "@type": String + "#text": '0.00' + PLAINTIFF: + "@type": String + "#text": MC 40001 + PLA_SOLICITOR: + "@type": String + "#text": SOL2 + PLA_SOLICITOR_ID: + "@type": String + "#text": '20000000' + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + PLA_FILE_REF: + "@type": String + "#text": FILE2 + PLA_ID: + "@type": String + "#text": S0739038F + PLA_STATUS: + "@type": String + "#text": SETTLED - BEFORE SET DOWN + PLA_STATUS_DATE: + "@type": String + "#text": 17/10/2016 + LIST_SHARE_INTEREST_COMP: + "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean + SHARE_INTEREST_COMP: + - COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + - COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '436' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE: + "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean + NAME_CHANGE: + - PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + - PREV_NAME: + "@type": String + "#text": SOON-SOON FISH-HEAD CURRY + EFFECT_DATE: + "@type": String + "#text": 10/06/1991 00:00:00 + LIST_SHAREHOLDER: + "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean + SHAREHOLDER: + - ADDRESS: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01; KEPPEL BAY TOWER; 098632,SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + - ADDRESS: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID: + "@type": String + "#text": 196500115G + NO_OF_SHARE: + "@type": String + "#text": '100,000' + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Ordinary + SHAREHOLDER_NAME: + "@type": String + "#text": KEPPEL TELECOMMUNICATIONS & TRANSPORTATION LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + LIST_CAPITAL: + "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean + CAPITAL: + - CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + - CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Preference + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '14,600,511.00' + NO_OF_SHARES: + "@type": String + "#text": '657' + LIST_OFFICER_OWNER: + "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean + OFFICER_OWNER: + - ADDRESS: + "@type": String + "#text": 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742,SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + - ADDRESS: + "@type": String + "#text": 52 HUME AVENUE, 05 - 10 ; SUMMERHILL; 596230, SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S2504825C + PA_REG_NO: + "@type": String + "#text": '00091' + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": HENRY GOH + CHANGE_ADDR_DATE: + "@type": String + "#text": 30/10/2003 + APPMT_DATE: + "@type": String + "#text": 07/03/2006 + NATIONALITY: + "@type": String + "#text": SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT: + SALES_REVENUE_AMOUNT: + - ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + - ELEMENTS: Sales Revenue Amount + YEAR: '2007' + CURRENCY: SGD + AMOUNT: '28000.00' + - ELEMENTS: Sales Revenue Amount + YEAR: '2006' + CURRENCY: SGD + AMOUNT: '27,000.00' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_WINDING_UP] + [LIST_LITIGATION] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] + properties: + META_INFO: + type: object + example: + META_INFO: + SERVICE: + "@type": String + "#text": BCP + SYSTEM_ID: + "@type": String + "#text": DDP + CREATION_DATE: + "@type": Date + "#text": Wed Apr 08 11:37:51 MYT 2009 + USER_ID: + "@type": String + CLASS: + "@type": String + "#text": class com.technodex.ddp.xmlbean.MetaBean + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS + properties: + SERVICE: + type: string + description: Report requested + example: "BCP" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: datetime + description: Report request date + example: Wed Apr 08 11:37:51 MYT 2009 + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: N/A + CLASS: + type: string + description: Class location for metabean. It is for (For internal use) + example: N/A + REGISTRY_DETAIL : + type: object + example: + REGISTRY_DETAIL: + "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean + RENEWAL_DATE: + "@type": String + "#text": 23/12/2008 + ADDRESS1: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01 + ADDRESS2: + "@type": String + "#text": KEPPEL BAY TOWER + ADDRESS3: + "@type": String + "#text": '098632' + ADDRESS4: + "@type": String + "#text": SINGAPORE + COMP_TYPE_CODE: + "@type": String + "#text": CP + REG_DATE: + "@type": String + "#text": 14/10/1974 + REG_ACTIVITY1: + "@type": String + "#text": OTHER INVESTMENT HOLDING COMPANIES + REG_ACTIVITY2: + "@type": String + "#text": SHIP MANAGEMENT SERVICES + ACC_DATE: + "@type": String + "#text": 31/12/2007 + STATUS_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + NAME_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + EXPIRY_DATE: + "@type": String + "#text": 25/10/2009 + COMP_TYPE: + "@type": String + "#text": LIMITED PRIVATE COMPANY + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + COMP_STATUS: + "@type": String + "#text": Live Company + REG_ACTIVITY_DESC1: + "@type": String + "#text": "-" + REG_ACTIVITY_DESC2: + "@type": String + "#text": "-" + AUDITOR: + "@type": String + "#text": "-" + AUDITOR_APPMT_DATE: + "@type": String + "#text": 13/06/1990 + LAST_AR_DATE: + "@type": String + "#text": 30/06/2008 + LAST_AGM_DATE: + "@type": String + "#text": 11/06/2008 + COUNTRY_INCORP: + "@type": String + "#text": SINGAPORE + description: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP + properties: + RENEWAL_DATE: + type: string + description: Renewal Date + example: "23/12/2008" + ADDRESS1: + type: string + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" + ADDRESS2: + type: string + description: Address Line 2 + example: "KEPPEL BAY TOWER" + ADDRESS3: + type: string + description: Address Line 3 + example: "098632" + ADDRESS4: + type: string + description: Address Line 4 + example: "SINGAPORE" + COMP_TYPE_CODE: + type: string + example: CP + description: |+ + Report Code. Available values are: + 1. CP Corporate + 2. SP Sole Proprietor + REG_DATE: + type: string + description: Registration Date + example: "14/10/1974" + REG_ACTIVITY1: + type: string + description: Registered Activities 1 + example: "OTHER INVESTMENT HOLDING COMPANIES" + REG_ACTIVITY2: + type: string + description: Registered Activities 2 + example: "SHIP MANAGEMENT SERVICES" + ACC_DATE: + type: string + description: Account Date + example: "31/12/2007" + STATUS_EFFECT_DATE: + type: string + description: Status Effective Date + example: "14/10/1974" + NAME_EFFECT_DATE: + type: string + description: Name Effective Date + example: "14/10/1974" + EXPIRY_DATE: + type: string + description: Expiry Date + example: "25/10/2009" + COMP_TYPE: + type: string + description: Company Type + example: "LIMITED PRIVATE COMPANY" + CHANGE_ADDR_DATE: + type: string + description: Change Address Date + example: "09/05/2003" + COMP_STATUS: + type: string + description: Company Status + example: "Live Company" + REG_ACTIVITY_DESC1: + type: string + description: Registered Activities Description + example: + REG_ACTIVITY_DESC2: + type: string + description: Registered Activities Description + example: + AUDITOR: + type: string + description: Auditor Name + example: + AUDITOR_APPMT_DATE: + type: string + description: Auditor Appointment Date + example: "13/06/1990" + LAST_AR_DATE: + type: string + description: Date of Last AR + example: "30/06/2008" + LAST_AGM_DATE: + type: string + description: Date of Last AGM + example: "11/06/2008" + COUNTRY_INCORP: + type: string + description: Country Incorporated + example: "SINGAPORE" + REQ_SEARCH_INFO : + type: object + example: + REQ_SEARCH_INFO: + "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean + COMP_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REG_NO: + "@type": String + "#text": 197401835M + REQ_DATE: + "@type": Date + "#text": '2009-04-08 11:36:03.611' + REQ_REG_NO: + "@type": String + "#text": 197401835M + REQ_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REQ_DATE_STR: + "@type": String + "#text": '08/04/2009 11:36:03' + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REG_NO: + type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "197401835M" + REQ_DATE: + type: datetime + description: Report Requested Date + example: 2009-04-08 11:36:03.611 + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197401835M" + REQ_NAME: + type: string + description: Request Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REQ_DATE_STR: + type: string + description: Request Date String + example: "08/04/2009 11:36:03" + EMPLOYEE_SIZE : + type: object + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: + EMPLOYEE_SIZE: + ELEMENTS: Employee Size + AMOUNT: '300' + properties: + ELEMENTS: + type: string + description: Description + example: "Employee Size" + AMOUNT: + type: integer + description: Number of employees + example: 300 + LIST_BIZ_BRANCH : + type: array + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: + LIST_BIZ_BRANCH: + "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + items: + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD + LIST_REG_CHARGES: + type: array + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: + LIST_REG_CHARGES: + "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean + REG_CHARGES: + CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '1000.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + items: + properties: + REG_CHARGES : + type: object + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: + REG_CHARGES: + CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '1000.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + properties: + CHARGE_NO : + type: string + description: Charge No. + example: 8205117 + CHARGE_DATE: + type: string + description: Charge Date + example: 26/11/1982 + CHARGEE_COMP: + type: string + description: Charges Company + example: UNITED OVERSEAS BANK LIMITED + CURRENCY: + type: string + description: Currency + example: + AMT_SECURED: + type: string + description: Amount Secured + example: 1000.00 + STATUS_SATISFACTION: + type: string + description: Status of Satisfaction + example: + LIST_LIQUIDATOR: + type: array + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: + LIST_LIQUIDATOR: + LIQUIDATOR: + LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + items: + properties: + LIQUIDATOR : + type: object + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE + example: + LIQUIDATOR: + LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + properties: + LIQ_POSITION: + type: string + description: Liquidator / Receiver / Judicial Manager Position + example: Liquidator + LIQ_ID: + type: string + description: Liquidator / Receiver / Judicial Manager ID + example: S1676216D + LIQ_NAME : + type: string + description: Liquidator / Receiver / Judicial Manager Name + example: ABUTHAHIR ABDUL GAFOOR + LIQ_COMP: + type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: + type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: 1 RAFFLES PLACE + LIQ_ADDRESS2: + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: #20-01 + LIQ_ADDRESS3: + type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: OUB CENTRE + LIQ_ADDRESS4: + type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: 30/03/2009 + LIST_WINDING_UP : + type: array + description: |+ + List of Winding Up with following children: + [WINDING_UP] + example: + LIST_WINDING_UP: + "@className": com.technodex.ddp.report.bean.CommercialBizWindingupBean + WINDING_UP: + CASE_CODE: + "@type": String + "#text": '40000' + CASE_YEAR: + "@type": String + "#text": '1999' + PLAINTIFF: + "@type": String + "#text": "-" + PLA_SOLICITOR_ID: + "@type": String + "#text": "-" + PLA_FILE_REF: + "@type": String + "#text": "-" + COURT_CODE: + "@type": String + "#text": CWU + CASE_TYPE: + "@type": String + "#text": COMPANY WINDING UP PETITION + CURRENCY1: + "@type": String + "#text": SGD + AMOUNT1: + "@type": String + "#text": '41,424.52' + CURRENCY2: + "@type": String + "#text": MYR + AMOUNT2: + "@type": String + "#text": '0.00' + CURRENCY3: + "@type": String + "#text": "-" + AMOUNT3: + "@type": String + "#text": '0.00' + BANKRUPTCY_ACT: + "@type": String + "#text": Petition for Winding Up + HEARING_DATE: + "@type": String + "#text": 15/12/2007 + ACTION_DATE: + "@type": String + "#text": 11/05/2007 + SUBJECT_NAME: + "@type": String + "#text": PROACTIVE BUILDERS + PLA_SOLICITOR: + "@type": String + "#text": "-" + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + items: + properties: + WINDING_UP : + type: object + description: |+ + Winding Up details with following children: + CASE_CODE + CASE_YEAR + PLAINTIFF + PLA_SOLICITOR_ID + PLA_FILE_REF + PLA_LAW_FIRM + SUBJECT_NAME + COURT_CODE + CASE_TYPE + CURRENCY1 + AMOUNT1 + CURRENCY2 + AMOUNT2 + CURRENCY3 + AMOUNT3 + ACTION_DATE + BANKRUPTCY_ACT + HEARING_DATE + PLA_SOLICITOR + example: + WINDING_UP: + CASE_CODE: + "@type": String + "#text": '40000' + CASE_YEAR: + "@type": String + "#text": '1999' + PLAINTIFF: + "@type": String + "#text": "-" + PLA_SOLICITOR_ID: + "@type": String + "#text": "-" + PLA_FILE_REF: + "@type": String + "#text": "-" + COURT_CODE: + "@type": String + "#text": CWU + CASE_TYPE: + "@type": String + "#text": COMPANY WINDING UP PETITION + CURRENCY1: + "@type": String + "#text": SGD + AMOUNT1: + "@type": String + "#text": '41,424.52' + CURRENCY2: + "@type": String + "#text": MYR + AMOUNT2: + "@type": String + "#text": '0.00' + CURRENCY3: + "@type": String + "#text": "-" + AMOUNT3: + "@type": String + "#text": '0.00' + BANKRUPTCY_ACT: + "@type": String + "#text": Petition for Winding Up + HEARING_DATE: + "@type": String + "#text": 15/12/2007 + ACTION_DATE: + "@type": String + "#text": 11/05/2007 + SUBJECT_NAME: + "@type": String + "#text": PROACTIVE BUILDERS + PLA_SOLICITOR: + "@type": String + "#text": "-" + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + properties: + CASE_CODE : + type: string + description: Case Code + example: 40000 + CASE_YEAR : + type: string + description: Case Year + example: 1999 + PLAINTIFF : + type: string + description: Plaintiff Name + example: + PLA_SOLICITOR_ID : + type: string + description: Pla. Solicitor ID + example: + PLA_FILE_REF : + type: string + description: Pla. File Ref. + example: + PLA_LAW_FIRM : + type: string + description: Pla. Law Firm + example: NAME2 + SUBJECT_NAME : + type: string + description: Subject Name + example: PROACTIVE BUILDERS + COURT_CODE : + type: string + description: Court Code + example: CWU + CASE_TYPE : + type: string + description: Case Type + example: COMPANY WINDING UP PETITION + CURRENCY1 : + type: string + description: Currency 1 + example: SGD + AMOUNT1 : + type: string + description: Amount 1 + example: 41,424.52 + CURRENCY2 : + type: string + description: Currency 2 + example: MYR + AMOUNT2 : + type: string + description: Amount 2 + example: 0.00 + CURRENCY3 : + type: string + description: Currency 3 + example: + AMOUNT3 : + type: string + description: Amount 3 + example: 0.00 + ACTION_DATE : + type: string + description: Action Date + example: 11/05/2007 + BANKRUPTCY_ACT : + type: string + description: Act of Bankruptcy + example: Petition for Winding Up + HEARING_DATE : + type: string + description: Hearing Date + example: 15/12/2007 + PLA_SOLICITOR : + type: string + description: Pla. Solicitor + example: + LIST_LITIGATION : + type: array + description: |+ + List of Winding Up with following children: + [LITIGATION] + example: + LIST_LITIGATION: + "@className": com.technodex.ddp.report.bean.CommercialBizLitigationBean + LITIGATION: + SUBJECT_NAME: + "@type": String + "#text": SOON SOON SEAFOOD + NATURE_OF_CLAIM: + "@type": String + "#text": CONTRACT 3 + STATUS_DATE: + "@type": String + "#text": 01/05/2008 + CASE_NO: + "@type": String + "#text": MC 40001 / 1999 + DOC_REMARKS: + "@type": String + "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 + CURRENCY1: + "@type": String + "#text": SGD + CURRENCY2: + "@type": String + "#text": MYR + CURRENCY3: + "@type": String + "#text": USD + CURRENCY4: + "@type": String + "#text": "-" + CURRENCY5: + "@type": String + "#text": "-" + DEF_SOLICITOR: + "@type": String + "#text": SOL2 + DEF_SOLICITOR_ID: + "@type": String + "#text": '20000000' + DEF_LAW_FIRM: + "@type": String + "#text": NAME2 + DEF_FILE_REF: + "@type": String + "#text": FILE2 + DATE_OF_WRIT: + "@type": String + "#text": 01/01/2008 + STATUS: + "@type": String + "#text": CONCLUDED 3 + AMOUNT1: + "@type": String + "#text": '100.00' + AMOUNT2: + "@type": String + "#text": '200.00' + AMOUNT3: + "@type": String + "#text": '0.00' + AMOUNT4: + "@type": String + "#text": '400.00' + AMOUNT5: + "@type": String + "#text": '0.00' + PLAINTIFF: + "@type": String + "#text": MC 40001 + PLA_SOLICITOR: + "@type": String + "#text": SOL2 + PLA_SOLICITOR_ID: + "@type": String + "#text": '20000000' + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + PLA_FILE_REF: + "@type": String + "#text": FILE2 + PLA_ID: + "@type": String + "#text": S0739038F + PLA_STATUS: + "@type": String + "#text": SETTLED - BEFORE SET DOWN + PLA_STATUS_DATE: + "@type": String + "#text": 17/10/2016 + items: + properties: + LITIGATION : + type: object + description: |+ + List of Winding Up with following children: + SUBJECT_NAME + NATURE_OF_CLAIM + STATUS_DATE + CASE_NO + DOC_REMARK + CURRENCY1 + CURRENCY2 + CURRENCY3 + CURRENCY4 + CURRENCY5 + DEF_SOLICITOR + DEF_SOLICITOR_ID + DEF_LAW_FIRM + DEF_FILE_REF + DATE_OF_WRIT + STATUS + AMOUNT1 + AMOUNT2 + AMOUNT3 + AMOUNT4 + AMOUNT5 + PLAINTIFF + PLA_SOLICITOR + PLA_SOLICITOR_ID + PLA_LAW_FIRM + PLA_FILE_REF + PLA_ID + PLA_STATUS + PLA_STATUS_DATE + example: + LITIGATION: + SUBJECT_NAME: + "@type": String + "#text": SOON SOON SEAFOOD + NATURE_OF_CLAIM: + "@type": String + "#text": CONTRACT 3 + STATUS_DATE: + "@type": String + "#text": 01/05/2008 + CASE_NO: + "@type": String + "#text": MC 40001 / 1999 + DOC_REMARKS: + "@type": String + "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 + CURRENCY1: + "@type": String + "#text": SGD + CURRENCY2: + "@type": String + "#text": MYR + CURRENCY3: + "@type": String + "#text": USD + CURRENCY4: + "@type": String + "#text": "-" + CURRENCY5: + "@type": String + "#text": "-" + DEF_SOLICITOR: + "@type": String + "#text": SOL2 + DEF_SOLICITOR_ID: + "@type": String + "#text": '20000000' + DEF_LAW_FIRM: + "@type": String + "#text": NAME2 + DEF_FILE_REF: + "@type": String + "#text": FILE2 + DATE_OF_WRIT: + "@type": String + "#text": 01/01/2008 + STATUS: + "@type": String + "#text": CONCLUDED 3 + AMOUNT1: + "@type": String + "#text": '100.00' + AMOUNT2: + "@type": String + "#text": '200.00' + AMOUNT3: + "@type": String + "#text": '0.00' + AMOUNT4: + "@type": String + "#text": '400.00' + AMOUNT5: + "@type": String + "#text": '0.00' + PLAINTIFF: + "@type": String + "#text": MC 40001 + PLA_SOLICITOR: + "@type": String + "#text": SOL2 + PLA_SOLICITOR_ID: + "@type": String + "#text": '20000000' + PLA_LAW_FIRM: + "@type": String + "#text": NAME2 + PLA_FILE_REF: + "@type": String + "#text": FILE2 + PLA_ID: + "@type": String + "#text": S0739038F + PLA_STATUS: + "@type": String + "#text": SETTLED - BEFORE SET DOWN + PLA_STATUS_DATE: + "@type": String + "#text": 17/10/2016 + properties: + SUBJECT_NAME : + type: string + description: Subject Name + example: "SOON SOON SEAFOOD" + NATURE_OF_CLAIM : + type: string + example: "CONTRACT 3" + description: Nature of Claim + STATUS_DATE : + type: string + example: "01/05/2008" + description: Status Date + CASE_NO : + type: string + example: "MC 40001 / 1999" + description: Case No + DOC_REMARKS : + type: string + example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" + description: Document Remark + CURRENCY1 : + type: string + example: "SGD" + description: Currency 1 + CURRENCY2 : + type: string + example: "MYR" + description: Currency 2 + CURRENCY3 : + type: string + example: "USD" + description: Currency 3 + CURRENCY4 : + type: string + example: "-" + description: Currency 4 + CURRENCY5 : + type: string + example: "-" + description: Currency 5 + DEF_SOLICITOR : + type: string + example: "SOL2" + description: Def. Solicitor + DEF_SOLICITOR_ID : + type: string + example: "20000000" + description: Def. Solicitor ID + DEF_LAW_FIRM : + type: string + example: "NAME2" + description: Def. Law Firm + DEF_FILE_REF : + type: string + example: "FILE2" + description: Def. File Ref. + DATE_OF_WRIT : + type: string + example: "01/01/2008" + description: Date Writ + STATUS : + type: string + example: "CONCLUDED 3" + description: Status + AMOUNT1 : + type: string + example: "100.00" + description: Amount 1 + AMOUNT2 : + type: string + example: "200.00" + description: Amount 2 + AMOUNT3 : + type: string + example: "0.00" + description: Amount 3 + AMOUNT4 : + type: string + example: "400.00" + description: Amount 4 + AMOUNT5 : + type: string + example: "0.00" + description: Amount 5 + PLAINTIFF : + type: string + example: "MC 40001" + description: Plaintiff Name + PLA_SOLICITOR: + type: string + example: "SOL2" + description: plantiff Solicitor + PLA_SOLICITOR_ID: + type: string + example: "20000000" + description: plantiff Solicitor ID + PLA_LAW_FIRM : + type: string + example: "NAME2" + description: Pla. Law Firm + PLA_FILE_REF : + type: string + example: "FILE2" + description: Pla. File Ref. + PLA_ID: + type: string + example: "S0739038F" + description: Plaintiff ID + PLA_STATUS: + type: string + example: "SETTLED - BEFORE SET DOWN" + description: Plaintiff Status + PLA_STATUS_DATE : + type: string + example: "17/10/2016" + description: Plaintiff Status Date + LIST_SHARE_INTEREST_COMP : + type: array + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: + LIST_SHARE_INTEREST_COMP: + "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean + SHARE_INTEREST_COMP: + COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: + SHARE_INTEREST_COMP: + COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + properties: + COMP_NAME : + type: string + description: Company Name + example: ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: 500000 + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: 100.00 + STATUS : + type: string + description: Status + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: + LIST_NAME_CHANGE: + "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean + NAME_CHANGE: + PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: + NAME_CHANGE: + PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + properties: + PREV_NAME : + type: string + description: Previous Name + example: HUA XI EATING HOUSE + EFFECT_DATE : + type: string + description: Effective Date + example: 25/10/1997 00:00:00 + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: + LIST_SHAREHOLDER: + "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean + SHAREHOLDER: + ADDRESS: + "@type": String + "#text": |- + 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, + SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": |- + KEPPEL COMMUNICATIONS PTE + LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + items: + properties: + SHAREHOLDER : + type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: + SHAREHOLDER: + ADDRESS: + "@type": String + "#text": |- + 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, + SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": |- + KEPPEL COMMUNICATIONS PTE + LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + properties: + ADDRESS : + type: string + description: Address + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID : + type: string + description: Company/ Identity No. + example: 198200406H + NO_OF_SHARE : + type: string + description: No. of Shares + example: 657 + CURRENCY : + type: string + description: Currency + example: UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE : + type: string + description: |+ + Indicator for Shareholder type. + Possible values are: + 1 Individual + 2 Company + 3 Unregistered foreign company + 4 Unregistered local company + example: 2 + SHARE_TYPE : + type: string + description: Share Type + example: Preference + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 09/05/2003 + ADDR_TYPE : + type: string + description: |+ + Address Type, indicates if it is Singapore or foreign address. + Possible values are: + S Indicates Singapore address + - Indicates foreign address + example: S + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: + LIST_CAPITAL: + "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean + CAPITAL: + CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: + CAPITAL: + CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: Issued + CAPITAL_TYPE : + type: string + description: Capital Type + example: Ordinary + CURRENCY : + type: string + description: Currency + example: SINGAPORE, DOLLARS + CAPITAL_AMT : + type: string + description: Capital Amount + example: 100,000.00 + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: 100,000 + LIST_OFFICER_OWNER : + type: array + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: + LIST_OFFICER_OWNER: + "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean + OFFICER_OWNER: + ADDRESS: + "@type": String + "#text": |- + 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, + SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + items: + properties: + OFFICER_OWNER : + type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: + OFFICER_OWNER: + ADDRESS: + "@type": String + "#text": |- + 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, + SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + properties: + ADDRESS : + type: string + description: Address + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE + IDENTITY_ID : + type: string + description: Identity No. + example: S1674174D + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: 00091 + POSITION : + type: string + description: Position + example: DIRECTOR + ADDR_TYPE : + type: string + description: |+ + Address Type, indicates if it is Singapore or foreign address. + Possible values are: + S Indicates Singapore address + - Indicates foreign address + example: S + CESSATION_DATE : + type: string + description: Cessation Date + example: 30/10/2003 + OFFICER_NAME : + type: string + description: Officer Name + example: HENRY GOH + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 30/10/2003 + APPMT_DATE : + type: string + description: Appointment Date + example: 30/10/2003 + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: + LIST_SALES_REVENUE_AMOUNT: + SALES_REVENUE_AMOUNT: + ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: + SALES_REVENUE_AMOUNT: + ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + properties: + ELEMENTS : + type: string + description: Description + example: Sales Revenue Amount + YEAR : + type: string + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: string + description: Amount. Amount values that higher than 1000 have a comma to delimit every 3 digits of the amount value. + example: 30000.00 + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: integer + description: Count for January + example: 1 + Rcfeb : + type: integer + description: Count for February + example: 1 + Rcmar : + type: integer + description: Count for March + example: 1 + Rcapr : + type: integer + description: Count for April + example: 1 + Rcmay : + type: integer + description: Count for May + example: 1 + Rcjun : + type: integer + description: Count for June + example: 1 + Rcjul : + type: integer + description: Count for July + example: 1 + Rcaug : + type: integer + description: Count for August + example: 1 + Rcsep : + type: integer + description: Count for September + example: 1 + Rcoct : + type: integer + description: Count for October + example: 1 + Rcnov : + type: integer + description: Count for November + example: 1 + Rcdec : + type: integer + description: Count for December + example: 1 + Rcid : + type: string + description: |+ + Internal database value, respond value from table Primary Key ID + It is for (For internal use) + example: N/A + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: |+ + Product Type. Possible values are: + 1. Biz Check: 0001 + 2. Biz Check Plus: 0002 + example: 0001 + Rcsecflag : + type: integer + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: datetime + description: Last update date + example: YYYY-MM-DD 00:00:00.0 + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + total_items: + type: integer + format: int32 + example: 1 + description: Number of subjects being enquired relating to the search. + default: false + subject_idno: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + subject_name: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subject's name as captured in DDP. + default: false + versions: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Optimized and Standardized results in Json Format + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json Format + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From e0679ef971d8cb7e595a13b8f9ba79135acc86c4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:36:09 +0530 Subject: [PATCH 4659/5916] Rename d&b_business_check_sg.yaml to d&b_business_check_sg_v1.yaml --- .../{d&b_business_check_sg.yaml => d&b_business_check_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{d&b_business_check_sg.yaml => d&b_business_check_sg_v1.yaml} (100%) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg_v1.yaml similarity index 100% rename from data/d&b_business_check_sg.yaml rename to data/d&b_business_check_sg_v1.yaml From ec16aefc18fb91d6b76bc9806898da304e8aea00 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:37:40 +0530 Subject: [PATCH 4660/5916] Create d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 1497 +++++++++++++++++++++++++++++++ 1 file changed, 1497 insertions(+) create mode 100644 data/d&b_business_check_sg.yaml diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml new file mode 100644 index 000000000..33b3de3c7 --- /dev/null +++ b/data/d&b_business_check_sg.yaml @@ -0,0 +1,1497 @@ +openapi: 3.0.1 +info: + title: D&B Business Check (SG) + description: |+ + This Data microservice provides key business information of a Singapore-registered company that includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. + x-additionalinfo: |+ + Suggested Use Cases: + - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels. + - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more. + - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements. + - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime. + - It can also be used for finance-related domains such as vehicle leasing, loans, enterprise credit terms and so on. Updated daily. + version: '1.1.0' + x-subscribelink: d&b_business_check_sg + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides key business information of a Singapore-registered company. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.1.0" + description: "Published Date - Jun 30, 2022" +paths: + /microservices/data/sbc/v1/getdata: + post: + tags: + - v1.1.0 + summary: Adds a new user + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + success: + report: + meta_info: + service: string + system_id: string + creation_date: string + user_id: string + class: string + req_search_info: + comp_name: string + reg_no: string + req_date: string + req_reg_no: string + req_name: string + req_date_str: string + registry_detail: + comp_name: string + renewal_date: string + address1: string + address2: string + address3: string + address4: string + comp_type_code: string + reg_date: string + reg_activity1: string + reg_activity2: string + acc_date: string + status_effect_date: string + name_effect_date: string + expiry_date: string + comp_type: string + change_addr_date: string + comp_status: string + reg_activity_desc1: string + reg_activity_desc2: string + auditor: string + auditor_appmt_date: string + last_ar_date: string + last_agm_date: string + country_incorp: string + employee_size: + elements: string + amount: string + list_biz_branch: + biz_branch: + addr_building: string + addr_postcode: string + addr_address1: string + list_reg_charges: + reg_charges: + charge_no: string + charge_date: string + chargee_comp: string + currency: string + amt_secured: string + status_satisfaction: string + list_liquidator: + liquidator: + liq_name: string + liq_id: string + liq_position: string + liq_comp: string + liq_address1: string + liq_address2: string + liq_address3: string + liq_address4: string + liq_appointment_date: string + list_sales_revenue_amount: + sales_revenue_amount: + elements: string + year: string + currency: string + amount: '0' + list_shareholder: + shareholder: + address: string + comp_id: string + no_of_share: string + currency: string + shareholder_type: string + share_type: string + shareholder_name: string + change_addr_date: string + addr_type: string + nationality: string + list_share_interest_comp: + share_interest_comp: + comp_name: string + share_owned_unit: string + share_owned_percent: string + status: string + list_officer_owner: + officer_owner: + address: string + identity_id: string + position: string + addr_type: string + cessation_date: string + officer_name: string + change_addr_date: string + appmt_date: string + nationality: string + list_capital: + capital: + capital_category: string + capital_type: string + currency: string + capital_amt: string + no_of_shares: string + list_name_change: + name_change: + prev_name: string + effect_date: string + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + REPORT: + type: object + example: + description: |+ + Report details with following children: + [META_INFO] + [REGISTRY_DETAIL] + [REQ_SEARCH_INFO] + [EMPLOYEE_SIZE] + [LIST_BIZ_BRANCH] + [LIST_REG_CHARGES] + [LIST_LIQUIDATOR] + [LIST_SHARE_INTEREST_COMP] + [LIST_NAME_CHANGE] + [LIST_SHAREHOLDER] + [LIST_CAPITAL] + [LIST_OFFICER_OWNER] + [LIST_SALES_REVENUE_AMOUNT] + properties: + META_INFO: + type: object + example: + META_INFO: + SERVICE: + "@type": String + "#text": BC + SYSTEM_ID: + "@type": String + "#text": DDP + CREATION_DATE: + "@type": Date + "#text": Wed Apr 08 11:37:51 MYT 2009 + USER_ID: + "@type": String + "#text": plcust102 + CLASS: + "@type": String + "#text": class com.technodex.ddp.xmlbean.MetaBean + description: |+ + Meta Information details with following children: + SERVICE + SYSTEM_ID + CREATION_DATE + USER_ID + CLASS + properties: + SERVICE: + type: string + description: Report requested + example: "BC" + SYSTEM_ID : + type: string + description: System ID + example: "DDP" + CREATION_DATE: + type: datetime + description: Report request date + example: "Wed Apr 08 11:37:51 MYT 2009" + USER_ID : + type: string + description: Valid user id in DDP system. It is for (For internal use) + example: "N/A" + CLASS: + type: string + description: Class location for metabean. It is for (For internal use) + example: "N/A" + REGISTRY_DETAIL : + type: object + example: + REGISTRY_DETAIL: + "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean + RENEWAL_DATE: + "@type": String + "#text": 23/12/2008 + ADDRESS1: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 - 01 + ADDRESS2: + "@type": String + "#text": KEPPEL BAY TOWER + ADDRESS3: + "@type": String + "#text": '098632' + ADDRESS4: + "@type": String + "#text": SINGAPORE + COMP_TYPE_CODE: + "@type": String + "#text": CP + REG_DATE: + "@type": String + "#text": 14/10/1974 + REG_ACTIVITY1: + "@type": String + "#text": OTHER INVESTMENT HOLDING COMPANIES + REG_ACTIVITY2: + "@type": String + "#text": SHIP MANAGEMENT SERVICES + ACC_DATE: + "@type": String + "#text": 31/12/2007 + STATUS_EFFECT_DATE: + "@type": String + "#text ": 14/10/1974 + NAME_EFFECT_DATE: + "@type": String + "#text": 14/10/1974 + EXPIRY_DATE: + "@type": String + "#text": 25/10/2009 + COMP_TYPE: + "@type": String + "#text": LIMITED PRIVATE COMPANY + CHANGE_ADDR_DATE: + "@type": String + "#text": '09 / 05 / 2003' + COMP_STATUS: + "@type": String + "#text": Live Company + REG_ACTIVITY_DESC1: + "@type": String + "#text": " - " + REG_ACTIVITY_DESC2: + "@type": String + "#text": " - " + AUDITOR: + "@type": String + "#text": " - " + AUDITOR_APPMT_DATE: + "@type": String + "#text": 13/06/1990 + LAST_AR_DATE: + "@type": String + "#text": 30/06/2008 + LAST_AGM_DATE: + "@type": String + "#text": 11/06/2008 + COUNTRY_INCORP: + "@type": String + "#text": SINGAPORE + description: |+ + Registry Details with following children: + RENEWAL_DATE + ADDRESS1 + ADDRESS2 + ADDRESS3 + ADDRESS4 + COMP_TYPE_CODE + REG_DATE + REG_ACTIVITY1 + REG_ACTIVITY2 + ACC_DATE + STATUS_EFFECT_DATE + NAME_EFFECT_DATE + EXPIRY_DATE + COMP_TYPE + CHANGE_ADDR_DATE + COMP_STATUS + REG_ACTIVITY_DESC1 + REG_ACTIVITY_DESC2 + AUDITOR + AUDITOR_APPMT_DATE + LAST_AR_DATE + LAST_AGM_DATE + COUNTRY_INCORP + properties: + RENEWAL_DATE: + type: string + description: Renewal Date + example: "23/12/2008" + ADDRESS1: + type: string + description: Address Line 1 + example: "1 HARBOURFRONT AVENUE , 18 - 01" + ADDRESS2: + type: string + description: Address Line 2 + example: "KEPPEL BAY TOWER" + ADDRESS3: + type: string + description: Address Line 3 + example: "098632" + ADDRESS4: + type: string + description: Address Line 4 + example: "SINGAPORE" + COMP_TYPE_CODE: + type: string + example: CP + description: |+ + Report Code. Available values are: + 1. CP Corporate + 2. SP Sole Proprietor + REG_DATE: + type: string + description: Registration Date + example: "14/10/1974" + REG_ACTIVITY1: + type: string + description: Registered Activities 1 + example: "OTHER INVESTMENT HOLDING COMPANIES" + REG_ACTIVITY2: + type: string + description: Registered Activities 2 + example: "SHIP MANAGEMENT SERVICES" + ACC_DATE: + type: string + description: Account Date + example: "31/12/2007" + STATUS_EFFECT_DATE: + type: string + description: Status Effective Date + example: "14/10/1974" + NAME_EFFECT_DATE: + type: string + description: Name Effective Date + example: "14/10/1974" + EXPIRY_DATE: + type: string + description: Expiry Date + example: "25/10/2009" + COMP_TYPE: + type: string + description: Company Type + example: "LIMITED PRIVATE COMPANY" + CHANGE_ADDR_DATE: + type: string + description: Change Address Date + example: "09/05/2003" + COMP_STATUS: + type: string + description: Company Status + example: "Live Company" + REG_ACTIVITY_DESC1: + type: string + description: Registered Activities Description + example: + REG_ACTIVITY_DESC2: + type: string + description: Registered Activities Description + example: + AUDITOR: + type: string + description: Auditor Name + example: + AUDITOR_APPMT_DATE: + type: string + description: Auditor Appointment Date + example: "13/06/1990" + LAST_AR_DATE: + type: string + description: Date of Last AR + example: "30/06/2008" + LAST_AGM_DATE: + type: string + description: Date of Last AGM + example: "11/06/2008" + COUNTRY_INCORP: + type: string + description: Country Incorporated + example: "SINGAPORE" + REQ_SEARCH_INFO : + type: object + example: + REQ_SEARCH_INFO: + "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean + COMP_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REG_NO: + "@type": String + "#text": 197401835M + REQ_DATE: + "@type": Date + "#text": '2009-04-08 11:36:03.611' + REQ_REG_NO: + "@type": String + "#text": 197401835M + REQ_NAME: + "@type": String + "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED + REQ_DATE_STR: + "@type": String + "#text": '08/04/2009 11:36:03' + description: |+ + Request criteria & search record with following children: + COMP_NAME + REG_NO + REQ_DATE + REQ_REG_NO + REQ_NAME + REQ_DATE_STR + properties: + COMP_NAME: + type: string + description: Company Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REG_NO: + type: string + description: Subject’s ID Number (individual) or Registration Number (company/business) + example: "197401835M" + REQ_DATE: + type: string + description: Report Requested Date + example: "2009-04-08 11:36:03.611" + REQ_REG_NO: + type: string + description: Request Registration Number + example: "197401835M" + REQ_NAME: + type: string + description: Request Name + example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" + REQ_DATE_STR: + type: string + description: Request Date String + example: "08/04/2009 11:36:03" + EMPLOYEE_SIZE : + type: object + description: |+ + Employee Size details with following children: + ELEMENTS + AMOUNT + example: + EMPLOYEE_SIZE: + ELEMENTS: Employee Size + AMOUNT: '300' + properties: + ELEMENTS: + type: string + description: Description + example: "Employee Size" + AMOUNT: + type: string + description: Number of employee + example: "300" + LIST_BIZ_BRANCH : + type: array + description: |+ + List of Business Branches with following children: + [BIZ_BRANCH] + example: + LIST_BIZ_BRANCH: + "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + properties: + BIZ_BRANCH : + type: object + description: |+ + Business Branches with following children: + ADDR_BUILDING + ADDR_POSTCODE + ADDR_ADDRESS1 + example: + BIZ_BRANCH: + ADDR_BUILDING: + "@type": String + "#text": "-" + ADDR_POSTCODE: + "@type": String + "#text": '289848' + ADDR_ADDRESS1: + "@type": String + "#text": 251A ARCADIA ROAD , - - - + properties: + ADDR_BUILDING: + type: string + description: Building Name + example: + ADDR_POSTCODE: + type: string + description: Postcode + example: 289848 + ADDR_ADDRESS1: + type: string + description: Address + example: 251A ARCADIA ROAD + LIST_REG_CHARGES: + type: array + description: |+ + List of Registered Charges with following children: + [REG_CHARGES] + example: + LIST_REG_CHARGES: + "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean + REG_CHARGES: + CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '0.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + items: + properties: + REG_CHARGES : + type: object + description: |+ + Registered Charges details with following children: + CHARGE_NO + CHARGE_DATE + CHARGEE_COMP + CURRENCY + AMT_SECURED + STATUS_SATISFACTION + example: + REG_CHARGES: + CHARGE_NO: + "@type": String + "#text": '8205117' + CHARGE_DATE: + "@type": String + "#text": 26/11/1982 + CHARGEE_COMP: + "@type": String + "#text": UNITED OVERSEAS BANK LIMITED + CURRENCY: + "@type": String + "#text": "-" + AMT_SECURED: + "@type": String + "#text": '0.00' + STATUS_SATISFACTION: + "@type": String + "#text": "-" + properties: + CHARGE_NO : + type: string + description: Charge No. + example: 8205117 + CHARGE_DATE: + type: string + description: Charge Date + example: 26/11/1982 + CHARGEE_COMP: + type: string + description: Charges Company + example: UNITED OVERSEAS BANK LIMITED + CURRENCY: + type: string + description: Currency + example: + AMT_SECURED: + type: string + description: Amount Secured + example: 0.00 + STATUS_SATISFACTION: + type: string + description: Status of Satisfaction + example: + LIST_LIQUIDATOR: + type: array + description: |+ + List of Liquidator / Receiver / Judicial Manager with following children: + [LIQUIDATOR] + example: + LIST_LIQUIDATOR: + LIQUIDATOR: + LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + items: + properties: + LIQUIDATOR : + type: object + description: |+ + Liquidator details with following children: + LIQ_POSITION + LIQ_ID + LIQ_NAME + LIQ_COMP + LIQ_ADDRESS1 + LIQ_ADDRESS2 + LIQ_ADDRESS3 + LIQ_ADDRESS4 + LIQ_APPOINTMENT_DATE + example: + LIQUIDATOR: + LIQ_NAME: ABUTHAHIR ABDUL GAFOOR + LIQ_ID: S1676216D + LIQ_POSITION: Liquidator + LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: 1 RAFFLES PLACE + LIQ_ADDRESS2: "#20-01" + LIQ_ADDRESS3: OUB CENTRE + LIQ_ADDRESS4: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: 30/03/2009 + properties: + LIQ_POSITION: + type: string + description: Liquidator / Receiver / Judicial Manager Position + example: Liquidator + LIQ_ID: + type: string + description: Liquidator / Receiver / Judicial Manager ID + example: S1676216D + LIQ_NAME : + type: string + description: Liquidator / Receiver / Judicial Manager Name + example: ABUTHAHIR ABDUL GAFOOR + LIQ_COMP: + type: string + description: Liquidator / Receiver / Judicial Manager Company Name + example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. + LIQ_ADDRESS1: + type: string + description: Liquidator / Receiver / Judicial Manager Address 1 + example: 1 RAFFLES PLACE + LIQ_ADDRESS2: + type: string + description: Liquidator / Receiver / Judicial Manager Address 2 + example: #20-01 + LIQ_ADDRESS3: + type: string + description: Liquidator / Receiver / Judicial Manager Address 3 + example: OUB CENTRE + LIQ_ADDRESS4: + type: string + description: Liquidator / Receiver / Judicial Manager Address 4 + example: SINGAPORE 048616 + LIQ_APPOINTMENT_DATE: + type: string + description: Liquidator / Receiver / Judicial Manager Appointment Date + example: 30/03/2009 + LIST_SHARE_INTEREST_COMP : + type: array + description: |+ + List of Share Interest In Companies with following children: + [SHARE_INTEREST_COMP] + example: + LIST_SHARE_INTEREST_COMP: + "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean + SHARE_INTEREST_COMP: + COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + items: + properties: + SHARE_INTEREST_COMP : + type: object + description: |+ + Share Interest In Companies details with following children: + COMP_NAME + SHARE_OWNED_UNIT + SHARE_OWNED_PERCENT + STATUS + example: + SHARE_INTEREST_COMP: + COMP_NAME: + "@type": String + "#text": ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT: + "@type": String + "#text": '500000' + SHARE_OWNED_PERCENT: + "@type": String + "#text": '100.00' + STATUS: + "@type": String + "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + properties: + COMP_NAME : + type: string + description: Company Name + example: ORCHID (HOLDINGS) PTE. LTD. + SHARE_OWNED_UNIT : + type: string + description: Shares Owned Unit + example: 500000 + SHARE_OWNED_PERCENT : + type: string + description: Shares Owned Value (%) + example: 100.00 + STATUS : + type: string + description: Status + example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP + LIST_NAME_CHANGE : + type: array + description: |+ + List of Change of Company/Business Name(s) with following children: + [NAME_CHANGE] + example: + LIST_NAME_CHANGE: + "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean + NAME_CHANGE: + PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + items: + properties: + NAME_CHANGE : + type: object + description: |+ + Change of Company/Business Name(s) with following children: + PREV_NAME + EFFECT_DATE + example: + NAME_CHANGE: + PREV_NAME: + "@type": String + "#text": HUA XI EATING HOUSE + EFFECT_DATE: + "@type": String + "#text": 25/10/1997 00:00:00 + properties: + PREV_NAME : + type: string + description: Previous Name + example: HUA XI EATING HOUSE + EFFECT_DATE : + type: string + description: Effective Date + example: 25/10/1997 00:00:00 + LIST_SHAREHOLDER : + type: array + description: |+ + List of Shareholders with following children: + [SHAREHOLDER] + example: + LIST_SHAREHOLDER: + "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean + SHAREHOLDER: + ADDRESS: + "@type": String + "#text": |- + 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, + SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": |- + KEPPEL COMMUNICATIONS PTE + LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + items: + properties: + SHAREHOLDER : + type: object + description: |+ + Shareholders details with following children: + ADDRESS + COMP_ID + NO_OF_SHARE + CURRENCY + SHAREHOLDER_TYPE + SHARE_TYPE + SHAREHOLDER_NAME + CHANGE_ADDR_DATE + ADDR_TYPE + NATIONALITY + example: + SHAREHOLDER: + ADDRESS: + "@type": String + "#text": 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID: + "@type": String + "#text": 198200406H + NO_OF_SHARE: + "@type": String + "#text": '657' + CURRENCY: + "@type": String + "#text": UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE: + "@type": String + "#text": '2' + SHARE_TYPE: + "@type": String + "#text": Preference + SHAREHOLDER_NAME: + "@type": String + "#text": KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE: + "@type": String + "#text": '09/05/2003' + ADDR_TYPE: + "@type": String + "#text": "-" + NATIONALITY: + "@type": String + "#text": SINGAPORE + properties: + ADDRESS : + type: string + description: Address + example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE + COMP_ID : + type: string + description: Company/ Identity No. + example: 198200406H + NO_OF_SHARE : + type: string + description: No. of Shares + example: 657 + CURRENCY : + type: string + description: Currency + example: UNITED STATES OF AMERICA, DOLLARS + SHAREHOLDER_TYPE : + type: string + description: Indicator for Shareholder type + example: 2 + SHARE_TYPE : + type: string + description: Share Type + example: Preference + SHAREHOLDER_NAME : + type: string + description: Shareholder Name + example: KEPPEL COMMUNICATIONS PTE LTD + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 09/05/2003 + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE + LIST_CAPITAL : + type: array + description: |+ + List of Capital details with following children: + [CAPITAL] + example: + LIST_CAPITAL: + "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean + CAPITAL: + CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + items: + properties: + CAPITAL : + type: object + description: |+ + Capital details with following children: + CAPITAL_CATEGORY + CAPITAL_TYPE + CURRENCY + CAPITAL_AMT + NO_OF_SHARES + example: + CAPITAL: + CAPITAL_CATEGORY: + "@type": String + "#text": Issued + CAPITAL_TYPE: + "@type": String + "#text": Ordinary + CURRENCY: + "@type": String + "#text": SINGAPORE, DOLLARS + CAPITAL_AMT: + "@type": String + "#text": '100,000.00' + NO_OF_SHARES: + "@type": String + "#text": '100,000' + properties: + CAPITAL_CATEGORY : + type: string + description: Capital Category + example: Issued + CAPITAL_TYPE : + type: string + description: Capital Type + example: Ordinary + CURRENCY : + type: string + description: Currency + example: SINGAPORE, DOLLARS + CAPITAL_AMT : + type: string + description: Capital Amount + example: 100,000.00 + NO_OF_SHARES : + type: string + description: Nos. of Shares + example: 100,000 + LIST_OFFICER_OWNER : + type: array + description: |+ + List of Officer(s) / Owner(s) with following children: + [OFFICER_OWNER] + example: + LIST_OFFICER_OWNER: + "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean + OFFICER_OWNER: + ADDRESS: + "@type": String + "#text": |- + 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, + SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + items: + properties: + OFFICER_OWNER : + type: object + description: |+ + Officer(s) / Owner(s) details with following children: + ADDRESS + IDENTITY_ID + PA_REG_NO + POSITION + ADDR_TYPE + CESSATION_DATE + OFFICER_NAME + CHANGE_ADDR_DATE + APPMT_DATE + NATIONALITY + example: + OFFICER_OWNER: + ADDRESS: + "@type": String + "#text": |- + 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, + SINGAPORE + IDENTITY_ID: + "@type": String + "#text": S1674174D + POSITION: + "@type": String + "#text": DIRECTOR + ADDR_TYPE: + "@type": String + "#text": S + CESSATION_DATE: + "@type": String + "#text": "-" + OFFICER_NAME: + "@type": String + "#text": NGIAM SHARE CHING + CHANGE_ADDR_DATE: + "@type": String + "#text": 25/10/2008 + APPMT_DATE: + "@type": String + "#text": 30/09/2008 + NATIONALITY: + "@type": String + "#text": SINGAPORE CITIZEN + properties: + ADDRESS : + type: string + description: Address + example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE + IDENTITY_ID : + type: string + description: Identity No. + example: S1674174D + PA_REG_NO : + type: string + description: Public Accountant Registration No. + example: 00091 + POSITION : + type: string + description: Position + example: DIRECTOR + ADDR_TYPE : + type: string + description: Address Type, indicates if it is Singapore or foreign address. + example: S + CESSATION_DATE : + type: string + description: Cessation Date + example: 30/10/2003 + OFFICER_NAME : + type: string + description: Officer Name + example: HENRY GOH + CHANGE_ADDR_DATE : + type: string + description: Change Address Date + example: 30/10/2003 + APPMT_DATE : + type: string + description: Appointment Date + example: 30/10/2003 + NATIONALITY : + type: string + description: Nationality + example: SINGAPORE P.R. + LIST_SALES_REVENUE_AMOUNT : + type: array + description: |+ + List of Sales Revenue Amount with following children: + [SALES_REVENUE_AMOUNT] + example: + LIST_SALES_REVENUE_AMOUNT: + SALES_REVENUE_AMOUNT: + ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + items: + properties: + SALES_REVENUE_AMOUNT : + type: object + description: |+ + Sales Revenue Amount details with following children: + ELEMENTS + YEAR + CURRENCY + AMOUNT + example: + SALES_REVENUE_AMOUNT: + ELEMENTS: Sales Revenue Amount + YEAR: '2008' + CURRENCY: SGD + AMOUNT: '30000.00' + properties: + ELEMENTS : + type: string + description: Description + example: Sales Revenue Amount + YEAR : + type: integer + description: Year + example: 2008 + CURRENCY : + type: string + description: Currency + example: SGD + AMOUNT : + type: integer + description: Amount + example: 30000.00 + LIST_Ddrptcount : + type: array + description: |+ + List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: + [Ddrptcount] + example: + items: + properties: + Ddrptcount : + type: object + description: |+ + 6 XML tags (open then close) displays + Search By Financial Sectors (counts for 3 recent years) + Search By Non- Financial Sectors (counts for 3 recent years) + Following children are: + Rcyear + RcFlag (only respond for the year exists) + Rcjan + Rcfeb + Rcmar + Rcapr + Rcmay + Rcjun + Rcjul + Rcaug + Rcsep + Rcoct + Rcnov + Rcdec + Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) + Rcsecflag + LastUpdateDate (only respond for the year exists) + example: + properties: + Rcyear : + type: string + description: To show the year + example: 2017 + RcFlag : + type: string + description: Internal database value + example: N/A + Rcjan : + type: integer + description: Count for January + example: 1 + Rcfeb : + type: integer + description: Count for February + example: 1 + Rcmar : + type: integer + description: Count for March + example: 1 + Rcapr : + type: integer + description: Count for April + example: 1 + Rcmay : + type: integer + description: Count for May + example: 1 + Rcjun : + type: integer + description: Count for June + example: 1 + Rcjul : + type: integer + description: Count for July + example: 1 + Rcaug : + type: integer + description: Count for August + example: 1 + Rcsep : + type: integer + description: Count for September + example: 1 + Rcoct : + type: integer + description: Count for October + example: 1 + Rcnov : + type: integer + description: Count for November + example: 1 + Rcdec : + type: integer + description: Count for December + example: 1 + Rcid : + type: integer + description: Internal database value + example: + Rcreg : + type: string + description: Company Registration Number + example: + Rcrptyid : + type: string + description: Product Type + example: + Rcsecflag : + type: integer + description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors + example: 1 + LastUpdateDate : + type: string + description: Last update date + example: + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + properties: + total_items: + type: integer + format: int32 + example: 1 + description: Number of subjects being enquired relating to the search. + default: false + subject_idno: + type: string + example: 199707714C + description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" + default: true + subject_name: + type: string + example: GPS INDUSTRIES PTE LTD + description: Subjects' name as captured in DDP. + default: false + versions: + type: object + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Optimized and Standardized results in Json Format + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized and Standardized results in Json Format + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 15, 2019 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 82d0fb6d9c6027441bb5028d6bf75743a03b329d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:38:11 +0530 Subject: [PATCH 4661/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index 40fab0886..7bdef7606 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -99,7 +99,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2021" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/hdb_searchdir/v1/getdata: get: From 2a63367de1e218d191367f9b5c0d145767aabc65 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:38:42 +0530 Subject: [PATCH 4662/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 113dd590e..dd893eaf9 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -102,7 +102,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2021" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/carpark/v1/getdata: get: @@ -470,7 +470,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30,2021 + example: Published Date - Jun 30,2022 x-details: Optimized release description: Latest Version v1.0.0: From db1a90f8507faed5ec788cbc17e4cc9db8c66949 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:39:17 +0530 Subject: [PATCH 4663/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index 7bdef7606..a4c732b7b 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -505,7 +505,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30,2021 + example: Published Date - Jun 30,2022 x-details: Optimized release description: Latest Version v1.0.0: From 46b9798e3f7518a7f7bc0d2558ff2f018278156f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:39:53 +0530 Subject: [PATCH 4664/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index 642d83ab9..f713dfc76 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2021" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/sbcp/v1/getdata: post: From 00f78ef3d00b32cd9d3d05c4080a024e7874186f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:40:20 +0530 Subject: [PATCH 4665/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index 688ea3e9a..fc3e43f4b 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022 + description: "Published Date - Jun 30, 2022" paths: /microservices/data/sbfe/v1/getdata: post: From a0452721c47bc41a385a9038dbe1502a7b31914a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:40:41 +0530 Subject: [PATCH 4666/5916] Update d&b_basic_individual_search_sg.yaml --- data/d&b_basic_individual_search_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_basic_individual_search_sg.yaml b/data/d&b_basic_individual_search_sg.yaml index 6f155d2cd..ed8871587 100644 --- a/data/d&b_basic_individual_search_sg.yaml +++ b/data/d&b_basic_individual_search_sg.yaml @@ -26,7 +26,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022 + description: "Published Date - Jun 30, 2022" paths: /microservices/data/sbis/v1/getdata: post: From a68d2825dba44859902e78820957be6ebc2f762c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:41:27 +0530 Subject: [PATCH 4667/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 5ea854f7a..20cdb2eee 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -94,7 +94,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2021" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/directories_searchbranch/v1/getdata: get: @@ -404,7 +404,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2021 + example: Published Date - Jun 30, 2022 x-details: Optimized release description: Latest Version v1.0.0: From f8ad5ec15efc5815910b6470b5af50e5deb3916a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:43:48 +0530 Subject: [PATCH 4668/5916] Rename demographics_hdb_sg.yaml to demographics_hdb_sg_v1.yaml --- data/{demographics_hdb_sg.yaml => demographics_hdb_sg_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{demographics_hdb_sg.yaml => demographics_hdb_sg_v1.yaml} (100%) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg_v1.yaml similarity index 100% rename from data/demographics_hdb_sg.yaml rename to data/demographics_hdb_sg_v1.yaml From 4de0fc04253e80f6ff4d01a14df742ad04f594e4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:44:55 +0530 Subject: [PATCH 4669/5916] Create demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 489 ++++++++++++++++++++++++++++++++++ 1 file changed, 489 insertions(+) create mode 100644 data/demographics_hdb_sg.yaml diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml new file mode 100644 index 000000000..c04310bcf --- /dev/null +++ b/data/demographics_hdb_sg.yaml @@ -0,0 +1,489 @@ +openapi: 3.0.1 +info: + title: HDB Demographics (SG) + x-subscribelink: demographics_hdb_sg + description: |+ + This Data microservice returns information on Housing Development Board (HDB) estates which includes the location address, postal code, gender and age groups, down to block-level granularity. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + + > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"postalcode":570251}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"match":{"street":"serangoon"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + **Match Types:** + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + > {"match":{"street":"serangoon"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{"street":"serangoon central"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"serangoon central"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postalcode":560720}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postalcode":[560720,560721]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"residents":{"gte":10}}} + > {"range":{"residents":{"lte":50}}} + > {"range":{"residents":{"gte":10,"lte":50}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field":"postalcode"}} + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + + > { + > "must":[{"match_phrase":{"street":"serangoon+central"}}], + > "filter":[{"range":{"residents":{"gte":10}}}], + > "should":[{"match":{"gender":"male"}}], + > "must_not":[{"match":{"age_group_id":"2"}}] + > } + **Sample Queries Based on Use Cases** + + 1. **Search for the number of elderly residents staying at Blk 423, Tampines Street 41 filter by age and gender.** + Using a filterdata only: + + > {"filter":[{"match":{"street":"tampines street 41"}},{"match":{"block":"423"}},{"terms":{"age_group_id":[6,7,8]}}]} + + 2. **Search for the number of female residents between age 50 to 59 staying in the postal code from 560720 to 560721.** + Using a filterdata only: + + > {"filter":[{"terms":{"postalcode":[560720,560721]}},{"match":{"gender":"female"}},{"terms":{"age_group_id":[6]}}]} + version: '1.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides information on Housing Development Board (HDB) estates. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.1.0" + description: "Published Date -Jun 30, 2021" +paths: + /microservices/data/demographics/v1/getdata: + get: + tags: + - v1.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "tampines" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"filter":[{"match":{"age_group_id":7}},{"match":{"gender":"male"}},{"match":{"postalcode":520423}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 986 + max_score: 17.995623 + hits: + - _index: sentient_hdb_demographics_index + _type: dir_doc + _id: K7scqWgBv3dNEHq2WvMo + _score: 17.995623 + _source: + postalcode: 560720 + gender: 'male' + age_group: '50 to 59' + age_group_id: 6 + residents: 54 + block: '34' + street: 'upper cross street' + xcoord: 29520.58 + ycoord: 39311.68 + address: '34 upper cross street' + createddate: '2020-04-23' + lastupdated: '2020-04-23' + location: + lat: 1.37179535 + lon: 103.8469821 + source: hdb + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object in the returned results + properties: + total: + type: integer + format: int32 + example: 986 + description: Total number of records + max_score: + type: number + format: float + example: 17.995623 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + postalcode: + type: integer + format: int32 + description: Postal code of a block + example: 560720 + gender: + type: string + description: Gender details, values are male/female + example: "male" + age_group: + type: string + description: Range of age groups + example: "50 to 59" + age_group_id: + type: integer + format: int32 + description: |+ + Age group ID represents a certain age range: + 1 (<10 years) + 2 (10-19 years) + 3 (20-29 years) + 4 (30-39 years) + 5 (40-49 years) + 6 (50-59 years) + 7 (60-69 years) + 8 (>70 years) + example: 6 + residents: + type: integer + format: int32 + description: Number of residents + example: 54 + block: + type: integer + format: int32 + description: Address block + example: "34" + street: + type: string + description: Street Address or building name + example: "upper cross street" + xcoord: + type: number + format: float + description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object). + example: 29520.58 + ycoord: + type: number + format: float + description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object). + example: 39311.68 + address: + type: string + description: Building full address + example: "34 upper cross street" + createddate: + type: string + description: Record first release date on sentient + example: "2020-04-23" + lastupdated: + type: string + description: Record last updated date on sentient + example: "2020-04-23" + location: + type: object + description: WGS84 coordinates lat/long + example: {"lat":1.37179535,"lon":103.8469821} + properties: + lat: + type: number + format: float + description: Latitude in the WGS84 coordinate format + example: 1.37179535 + lon: + type: number + format: float + description: Longitude in the WGS84 coordinate format + example: 103.8469821 + source: + type: string + description: Dataset source + example: "hdb" + message: + type: string + example: Successfully Processed + description: Description of the API the status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30,2022 + x-details: Optimized release + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21,2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 15,2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From 87852aac233b3eeac8f89a1914ede106487a570a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:45:40 +0530 Subject: [PATCH 4670/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index c04310bcf..7ab559f9a 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -97,7 +97,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date -Jun 30, 2021" + description: "Published Date -Jun 30, 2022" paths: /microservices/data/demographics/v1/getdata: get: From 258d0400a8f8889645a6b7803eb2de164ed3db86 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:46:37 +0530 Subject: [PATCH 4671/5916] Rename directory_of_singapore_startups.yaml to directory_of_singapore_startups_v1.yaml --- ...pore_startups.yaml => directory_of_singapore_startups_v1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{directory_of_singapore_startups.yaml => directory_of_singapore_startups_v1.yaml} (100%) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups_v1.yaml similarity index 100% rename from data/directory_of_singapore_startups.yaml rename to data/directory_of_singapore_startups_v1.yaml From f66b59079d683d9391cd36a9f487a97df5e2f240 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:47:42 +0530 Subject: [PATCH 4672/5916] Create directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 570 ++++++++++++++++++++++ 1 file changed, 570 insertions(+) create mode 100644 data/directory_of_singapore_startups.yaml diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml new file mode 100644 index 000000000..42beeaf31 --- /dev/null +++ b/data/directory_of_singapore_startups.yaml @@ -0,0 +1,570 @@ +openapi: 3.0.1 +info: + title: Directory of Singapore Startups + x-subscribelink: directory_of_singapore_startups + description: |+ + This Data microservice retrieves a list of all Singapore startup companies found on the internet through web scraping. Updated quarterly. + x-additionalinfo: |+ + Suggested Use Cases: + - Build solutions related to startups in Singapore. For example, investors interested in industry analysis can use this microservice to identify the trends and patterns in Singapore's startup scene. + + **Refining queries in the filterdata field using filter types and match types** + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + > {"must":[{"match":{"name":"technology"}}]} + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + > {"must_not":[{"match":{"yearestablished.e27":"2016"}}]} + + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + > {"should":[{"match":{"status.e27":"active"}}]} + + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + > {"filter":[{"exists":{"field":"company.e27"}}]} + + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + **Match Types:** + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + + * **match** - Search within a full text field for a single word + + > {"match":{"name":"technology"}} + + * **match_phrase** - Search within a full text field + + > {"match_phrase":{"name":"nextwave partners"}} + + * **match_phrase_prefix** - Search within a full text field with prefix + + > {"match_phrase_prefix":{"name":"nextwave partners"}} + + * **term** - Returns results that contain an exact term in a provided field + + > {"term":{"employeecount.techinasia":"11"}} + + * **terms** - Returns results that contain one or more exact terms in a provided field + + > {"terms":{"employeecount.techinasia":["11","15"]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"company.techinasia.funding.amount":{"gte":10000000}}} + > {"range":{"company.techinasia.funding.amount":{"lte":50000000}}} + > {"range":{"company.techinasia.funding.amount":{"gte":10000000,"lte":50000000}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{"field":"company.e27"}} + + **Sample filterdata JSON:** + > { + > "must":[{"match":{"name":"technology"}}], + > "filter":[{"exists":{"field":"company.e27"}}], + > "should":[{"match":{"status.e27":"active"}}], + > "must_not":[{"match":{"yearestablished.e27":"2016"}}] + > } + version: '1.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides a list of all Singapore startup companies found on the internet through web scraping. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.1.0" + description: "Published Date -Jun 30, 2022" +paths: + /microservices/data/directories_searchdir/v1/getdata: + get: + tags: + - v1.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all start ups (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "technology" + default: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + default: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + default: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + default: false + example: |+ + {"must":[{"match":{"name":"technology"}}],"filter":[{"exists":{"field":"company.e27"}}],"should":[{"match":{"status.e27":"active"}}],"must_not":[{"match":{"yearestablished.e27":"2016"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 986 + max_score: 1 + hits: + - _index: sentient_directory_index + _type: dir_doc + _id: TrrmAWgBv3dNEHq24P-C + _score: 1 + _source: + type: company + source: sentient + address: singapore + createddate: '2018-12-31' + name: AAR Consultancy + logo: + e27: https://e27.co/img/startups/11448/logo.png + company: + e27: + sourceurl: https://e27.co/startup/aar-consultancy + type: startup + technology: + - Enterprise Solution + - Big Data + - E-commerce + - Education + - Internet of Things + socialmedia: + e27: + linkedin: https://sg.linkedin.com/in/soumikch + descshort: + e27: Google Certified Professionals. Providing with Consultation, Implementation + Strategy and Training of various online platforms, methods and campaigns, + including eComm launches. + desclong: + e27: 'My name is Soumik and I am founder of AAR Consultancy, a registered + business in Singapore. I provide online consultancy, implementation strategy + development and Training.I offer various online services, which you can + see from my attached company profile. I am an MBA with 11+ years experience + helping manage digital / online marketing for various industries. Been guest + speakers at seminars and conferences and provided corporate training to + SMEs and MNCs alike. I have worked with Streetdirectory, MDIS, Ogilvy and + Mather, American Express and Mothercare and has helped clients such as IBM, + Unilever, Nestle, SingTel, Guinness amongst others. SMEs, MNCs : B2B and + B2C.Have launched eCommerce Platforms, websites, strategies, technologies, + apps, and more.Trained and implemented, SEO, AdWords - ppc, media ads, social, + community management and more.' + website: + e27: http://ww.aaronline.sg + status: + e27: active + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json object of returned results. + properties: + total: + type: integer + example: 986 + description: Total number of records. + max_score: + type: integer + example: 1 + description: The highest score value. + hits: + type: array + example: [ { "" } + description: Json object of returned hits. + properties: + type: + type: string + description: Directory type + example: company + source: + type: string + description: Dataset source + example: sentient + address: + type: string + description: Full address + example: singapore + createddate: + type: string + description: Record first release date on sentient. + example: '2018-12-31' + name: + type: string + description: Business name + example: AAR Consultancy + logo: + type: object + example: { "" } + description: List of logo from various content providers like f6s, e27, techinasia. + properties: + : + type: string + description: logo url + example: 'https://e27.co/img/startups/11448/logo.png' + company: + type: object + example: { "" } + description: Full details about the company from various content providers like f6s, e27, techinasia + properties: + : + type: object + example: { "" } + description: Directory details from the content provider like f6s, e27, techinasia. + properties: + sourceurl: + type: string + description: Directory source url + example: 'https://e27.co/startup/tech-in-asia' + type: + type: string + description: Type of Directory + example: startup + technology: + type: array + items: + oneOf: + - type: string + format: list + example: Enterprise Solution + - type: string + format: list + example: Big Data + - type: string + format: list + example: E-commerce + - type: string + format: list + example: Education + - type: string + format: list + example: Internet of Things + funding: + type: array + example: [ { "" } + description: Various Social media details from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: Social media information of the record + example: 'https://www.linkedin.com/company/tech-in-asia' + properties: + linkedin: + type: string + description: Social media - Linkedin url + example: 'https://www.linkedin.com/company/tech-in-asia' + facebook: + type: string + description: Social media - Facebook url + example: 'https://www.facebook.com/techinasia' + twitter: + type: string + description: Social media - twitter url + example: 'https://www.twitter.com/Techinasia' + descshort: + type: object + example: { "" } + description: Short description + properties: + : + type: string + description: Short description from various content providers like f6s, e27, techinasia + example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta.' + desclong: + type: object + example: { "" } + description: Long description + properties: + : + type: string + description: Long description from various content providers like f6s, e27, techinasia + example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta. Right here is where you can keep abreast of Asia’s tech industry, share your thoughts alongside ours, and connect with startups and investors alike.With an ever-growing team of close to 100 based all across Asia and the US, spanning editorial, events and database functions, they are fully dedicated to bringing Asia’s tech ecosystem closer together.Above all, they want to give you a voice with their platform and facilitate meaningful discussions that would otherwise only take place offline. Anyone willing to add value to Asia’s tech community and ecosystem is able and welcome to join in the conversation.Tech in Asia counts Softbank, Y Combinator, Walden International, East Ventures, Facebook co-founder Eduardo Saverin, and more amongst its list of investors. Their statement of ethics governs their principles regarding full disclosure and conflicts of interest.' + website: + type: object + example: { "" } + description: Website details from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: Website address + example: 'https://www.techinasia.com' + status: + type: object + example: { "" } + description: Company status from various content providers like f6s, e27, techinasia + properties: + : + type: string + description: Company status + example: active + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Optimized release + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 21, 2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 26, 2018 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From f184b9504039ec16df81817884f90b2a6007608d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 14:48:29 +0530 Subject: [PATCH 4673/5916] Rename fitness_stations_and_playgrounds_hdb_sg.yaml to fitness_stations_and_playgrounds_hdb_sg_v2.yaml --- ...db_sg.yaml => fitness_stations_and_playgrounds_hdb_sg_v2.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{fitness_stations_and_playgrounds_hdb_sg.yaml => fitness_stations_and_playgrounds_hdb_sg_v2.yaml} (100%) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg_v2.yaml similarity index 100% rename from data/fitness_stations_and_playgrounds_hdb_sg.yaml rename to data/fitness_stations_and_playgrounds_hdb_sg_v2.yaml From e8b69069c9c906512c5e2589c46cd370541cddbe Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:03:50 +0530 Subject: [PATCH 4674/5916] Update index.yaml --- index.yaml | 42 +++++++----------------------------------- 1 file changed, 7 insertions(+), 35 deletions(-) diff --git a/index.yaml b/index.yaml index ef7130c73..fccac6073 100644 --- a/index.yaml +++ b/index.yaml @@ -363,87 +363,71 @@ data: title: HDB Commercial Directories (SG) versions: 1.1.0: 'commercial_directories_hdb_sg.yaml' - 1.0.0: 'commercial_directories_hdb_sg_v1.yaml' building_addresses_hdb_sg: title: HDB Block Coordinates (SG) versions: 1.1.0: 'building_addresses_hdb_sg.yaml' - 1.0.0: 'building_addresses_hdb_sg_v1.yaml' residential_sales_and_rental_hdb_sg: title: HDB Residential Occupancy Status (SG) versions: - 1.1.0: 'residential_sales_and_rental_hdb_sg.yaml - 1.0.0: 'residential_sales_and_rental_hdb_sg_v1.yaml' + 1.1.0: 'residential_sales_and_rental_hdb_sg.yaml' carpark_hdb_sg: title: HDB Carpark Locations (SG) versions: 1.1.0: 'carpark_hdb_sg.yaml' - 1.0.0: 'carpark_hdb_sg_v1.yaml' demographics_hdb_sg: title: HDB Demographics (SG) versions: 1.1.0: 'demographics_hdb_sg.yaml' - 1.0.0: 'demographics_hdb_sg_v1.yaml' flat_ownership_hdb_sg: title: HDB Flat Ownership Duration (SG) versions: 1.1.0: 'flat_ownership_hdb_sg.yaml' - 1.0.0: 'flat_ownership_hdb_sg_v1.yaml' season_parking_availability_hdb_sg: title: HDB Season Parking Availability (SG) versions: 1.1.0: 'season_parking_availability_hdb_sg.yaml' - 1.0.0: 'season_parking_availability_hdb_sg_v1.yaml' directory_of_singapore_startups: title: Directory of Singapore Startups versions: 1.0.0: 'directory_of_singapore_startups.yaml' - 1.0.0: 'directory_of_singapore_startups_v1.yaml' fitness_stations_and_playgrounds_hdb_sg: title: HDB Fitness Stations and Playgrounds (SG) versions: 2.1.0: 'fitness_stations_and_playgrounds_hdb_sg.yaml' - 2.0.0: 'fitness_stations_and_playgrounds_hdb_sg_v2.yaml' 1.0.0: 'fitness_stations_and_playgrounds_hdb_sg_v1.yaml' amenities_lamp_posts_hdb_sg: title: HDB Lamp Posts Locations (SG) versions: 2.1.0: 'amenities_lamp_posts_hdb_sg.yaml' - 2.0.0: 'amenities_lamp_posts_hdb_sg_v2.yaml' 1.0.0: 'amenities_lamp_posts_hdb_sg_v1.yaml' amenities_hardcourts_hdb_sg: title: HDB Hardcourts Locations (SG) versions: 2.1.0: 'amenities_hardcourts_hdb_sg.yaml' - 2.0.0: 'amenities_hardcourts_hdb_sg_v2.yaml' 1.0.0: 'amenities_hardcourts_hdb_sg_v1.yaml' amenities_shelters_hdb_sg: title: HDB Shelters Locations (SG) versions: 2.1.0: 'amenities_shelters_hdb_sg.yaml' - 2.0.0: 'amenities_shelters_hdb_sg_v2.yaml' 1.0.0: 'amenities_shelters_hdb_sg_v1.yaml' d&b_business_check_plus_sg: title: D&B Business Check Plus (SG) versions: 1.1.0: 'd&b_business_check_plus_sg.yaml' - 1.0.0: 'd&b_business_check_plus_sg_v1.yaml' d&b_basic_individual_search_sg: title: D&B Basic Individual Search (SG) versions: 1.1.0: 'd&b_basic_individual_search_sg.yaml' - 1.0.0: 'd&b_basic_individual_search_sg_v1.yaml' 0.1.0: 'd&b_basic_individual_search_sg_v0.1.yaml' d&b_business_check_sg: title: D&B Business Check (SG) versions: 1.1.0: 'd&b_business_check_sg.yaml' - 1.0.0: 'd&b_business_check_sg_v1.yaml' d&b_brief_financial_information_sg: title: D&B Brief Financial Information (SG) versions: 1.1.0: 'd&b_brief_financial_information_sg.yaml' - 1.0.0: 'd&b_brief_financial_information_sg_v1.yaml' hdb_amenities_score: title: HDB Amenities Score versions: @@ -452,62 +436,50 @@ data: title: Trajectory Clustering versions: 0.1.1: 'trajectory_clustering.yaml' - 0.1.0: 'trajectory_clustering_v0.yaml' lta_road_works: title: LTA Road Works versions: 0.1.2: 'lta_road_works.yaml' - 0.1.1: 'lta_road_works_v0.yaml' lta_car_park_availability_historical: title: LTA Carpark Availability Historical versions: - 0.1.2: 'lta_car_park_availability_historical.yaml' - 0.1.1: 'lta_car_park_availability_historical_v0.yaml' + 0.1.2: 'lta_car_park_availability_historical.yaml' lta_traffic_images: title: LTA Traffic Images versions: - 0.1.2: 'lta_traffic_images.yaml' - 0.1.1: 'lta_traffic_images_v0.yaml' + 0.1.2: 'lta_traffic_images.yaml' lta_traffic_incidents: title: LTA Traffic Incidents versions: - 0.1.2: 'lta_traffic_incidents.yaml' - 0.1.1: 'lta_traffic_incidents_v0.yaml' + 0.1.2: 'lta_traffic_incidents.yaml' lta_traffic_speed_bands_historical: title: LTA Traffic Speed Bands Historical versions: - 0.1.2: 'lta_traffic_speed_bands_historical.yaml' - 0.1.1: 'lta_traffic_speed_bands_historical_v0.yaml' + 0.1.2: 'lta_traffic_speed_bands_historical.yaml' lta_vms: title: LTA VMS versions: - 0.1.2: 'lta_vms.yaml' - 0.1.1: 'lta_vms_v0.yaml' + 0.1.2: 'lta_vms.yaml' lta_faulty_traffic_lights: title: LTA Faulty Traffic Lights versions: 0.1.2: 'lta_faulty_traffic_lights.yaml' - 0.1.1: 'lta_faulty_traffic_lights_v0.yaml' lta_pv_bus: title: LTA Passenger Volume by Bus Stops versions: 0.1.2: 'lta_pv_bus.yaml' - 0.1.1: 'lta_pv_bus_v0.yaml' realtime_weather: title: Realtime Weather versions: 0.1.1: 'realtime_weather.yaml' - 0.1.0: 'realtime_weather_v0.yaml' lidar_trajectory_data: title: LiDAR Trajectory Data versions: - 0.1.1: 'lidar_trajectory_data.yaml' - 0.1.0: 'lidar_trajectory_data_v0.yaml' + 0.1.1: 'lidar_trajectory_data.yaml' train_stations_sg: title: Train Stations (SG) versions: 0.1.1: 'train_stations_sg.yaml' - 0.1.0: 'train_stations_sg_v0.yaml' analytics: recommendation_engine: title: Recommendation Engine From a1af1df4fb915882facf5f35fce4dfe0d1c121e3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:07:08 +0530 Subject: [PATCH 4675/5916] Delete amenities_hardcourts_hdb_sg_v2.yaml --- data/amenities_hardcourts_hdb_sg_v2.yaml | 424 ----------------------- 1 file changed, 424 deletions(-) delete mode 100644 data/amenities_hardcourts_hdb_sg_v2.yaml diff --git a/data/amenities_hardcourts_hdb_sg_v2.yaml b/data/amenities_hardcourts_hdb_sg_v2.yaml deleted file mode 100644 index c9f8283a9..000000000 --- a/data/amenities_hardcourts_hdb_sg_v2.yaml +++ /dev/null @@ -1,424 +0,0 @@ -openapi: 3.0.1 -info: - title: HDB Hardcourts Locations (SG) - x-subscribelink: amenities_hardcourts_hdb_sg - description: |+ - This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and / or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the object. - - A successful call will return the results of the query in JSON format. - - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. - - x-additionalinfo : |+ - **Match Types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} - * **match** - Search within a full text field for a single word - > {"match":{"properties.quality":"FULLY VISIBLE"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"properties.featid"}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} - * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. - > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. - > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. - > WITHIN - Return all documents whose geo_shape field is within the query geometry. - type should be - > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) - > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. - > { - "geo_shape": { - "geometry": { - "shape": { - "type": "polygon", - "coordinates":[ [[ 103.757362163026585, 1.349439786854645 ], [ 103.757401139617556, 1.349479539383153 ], [ 103.757489093469715, 1.349395625337523 ], [ 103.757362163026585, 1.349439786854645 ] ]] - }, - "relation": "intersects" - } - } - } - * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - - - **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. - > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides returns all road works being / to be carried out. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v2.0.0" - description: "Published Date - Apr 08, 2022" -paths: - /microservices/data/hardcourt/v2/getdata: - post: - tags: - - v2.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - _id: 3161fa9077473e138ed - _index: hdb_map_index - _score: 0 - _source: - geometry: - coordinates: - - 103.70325637102218 - - 1.340288655171077 - type: Polygon - geometry_type: Polygon - lastupdated: '2022-04-05T16:05:00.644Z' - properties: - featid: 316 - fmel_upd_d: '2018-06-29' - inc_crc: 1FA9077473E138ED - lvl: GROUND LEVEL - quality: FULLY VISIBLE - type: FITNESS STATION / PLAYGROUND - _type: _doc - max_score: 0 - total: - relation: eq - value: 3118 - scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== - status: Success - - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Description of the API status. - status: - type: string - example: Success - description: The status of the API call - Success/Failure. - scroll_id: - type: string - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Pagination id - results: - type: object - example: {} - description: Json object of the returned results. - properties: - max_score: - type: number - format: float - example: 0.9 - description: The highest score value. - total: - type: object - example: {} - description: Json object of returned total. - properties: - relation: - type: string - example: eq - description: Relation between total counts and display result count. - value: - type: integer - format: int32 - example: 1 - description: Total number of records. - hits: - type: array - example: [{} - description: Json object of returned hits. - properties: - properties: - type: object - example: {} - description: Json object of returned results. - properties: - featid: - type: integer - example: 128 - description: Properties FEATID - lvl: - type: string - example: "GROUND LEVEL" - description: Properties Level - quality: - type: string - example: "FULLY VISIBLE" - description: Quality of Properties. - type: - type: string - example: "HARDCOURT" - description: Property Types. - inc_crc: - type: string - example: "6CBA10726FCF8D23" - description: INC_CRC - fmel_upd_d: - type: string - example: "2018-06-29" - description: fmel_upd_d - geometry: - type: geo_shape - description: Location coordinates and its type. - example: {"type": "Polygon", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - geometry_type: - type: string - description: Type of Geometry Coordinates. - example: "Polygon" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v2.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 08, 2022 - x-details: Data structure changed - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Archived - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index . Default - 0 - filter: - type: array - default: false - items: - type: object - example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] - description: |+ - A list of filters to refine the search further. Default response returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * geo_distance - * geo_shape - * exists - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 5ee4318d282ec73001fe596e81837cdbefa4d9c8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:07:35 +0530 Subject: [PATCH 4676/5916] Delete amenities_lamp_posts_hdb_sg_v2.yaml --- data/amenities_lamp_posts_hdb_sg_v2.yaml | 419 ----------------------- 1 file changed, 419 deletions(-) delete mode 100644 data/amenities_lamp_posts_hdb_sg_v2.yaml diff --git a/data/amenities_lamp_posts_hdb_sg_v2.yaml b/data/amenities_lamp_posts_hdb_sg_v2.yaml deleted file mode 100644 index bfe081fe0..000000000 --- a/data/amenities_lamp_posts_hdb_sg_v2.yaml +++ /dev/null @@ -1,419 +0,0 @@ -openapi: 3.0.1 -info: - title: HDB Lamp Posts Locations (SG) - x-subscribelink: amenities_lamp_posts_hdb_sg - description: |+ - This Data microservice returns the indicative locations of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format. - - - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. - - x-additionalinfo : |+ - **Match types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} - * **match** - Search within a full text field for a single word - > {"match":{"properties.quality":"FULLY VISIBLE"}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} - * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. - > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. - > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. - > WITHIN - Return all documents whose geo_shape field is within the query geometry. - type should be - > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) - > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. - >{ - "geo_shape": { - "geometry": { - "shape": { - "type": "Point", - "coordinates":[ 103.909244012548825, 1.330939965513429 ] - }, - "relation": "disjoint" - } - } - } - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"properties.featid"}} - * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}}]}} - - **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. - > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides returns all road works being / to be carried out. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v2.0.0" - description: "Published Date - Apr 08, 2022" -paths: - /microservices/data/lamppost/v2/getdata: - post: - tags: - - v2.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: 8893890212d4766fe20d - _index: hdb_map_index - _score: 0 - _source: - geometry: - coordinates: - - 103.91016904258795 - - 1.329420542256962 - type: Point - geometry_type: Point - lastupdated: '2022-04-05T16:09:49.832Z' - properties: - featid: 8893 - fmel_upd_d: '2018-06-29' - inc_crc: 890212D4766FE20D - lvl: GROUND LEVEL - quality: FULLY VISIBLE - type: LAMP POST - _type: _doc - max_score: 0 - total: - relation: eq - value: 23431 - scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGUWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - Success/Failure - scroll_id: - type: string - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Pagination id - results: - type: object - example: {} - description: Json Object of returned results - properties: - max_score: - type: float - example: 0.9 - description: The highest score value - total: - type: object - example: {} - description: Json Object of returned total - properties: - relation: - type: string - example: eq - description: Realtion between total counts and display result count. - value: - type: number - example: 1 - description: Total number of records - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - properties: - type: object - example: {} - description: Json Object of returned results - properties: - featid: - type: number - example: 128 - description: Properties FEATID - lvl: - type: string - example: "GROUND LEVEL" - description: Properties Level - quality: - type: string - example: "FULLY VISIBLE" - description: Quality of Properties - type: - type: string - example: "LAMP POST" - description: Property Types - inc_crc: - type: string - example: "6CBA10726FCF8D23" - description: INC_CRC - fmel_upd_d: - type: string - example: "2018-06-29" - description: fmel_upd_d - geometry: - type: geo_shape - description: Location coordinates and its type - example: {"type": "Point", "coordinates": [[103.8300615, 1.3060184]]} - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - geometry_type: - type: string - description: Type of Geometry Coordinates - example: "Point" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v2.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 08, 2022 - x-details: Data structure changed - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Archived - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index . Default - 0 - filter: - type: array - default: false - items: - type: object - example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * geo_distance - * geo_shape - * exists - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 64d6ca34ace71b224efd6cd104d425f24dbd2fea Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:07:41 +0530 Subject: [PATCH 4677/5916] Delete amenities_shelters_hdb_sg_v2.yaml --- data/amenities_shelters_hdb_sg_v2.yaml | 425 ------------------------- 1 file changed, 425 deletions(-) delete mode 100644 data/amenities_shelters_hdb_sg_v2.yaml diff --git a/data/amenities_shelters_hdb_sg_v2.yaml b/data/amenities_shelters_hdb_sg_v2.yaml deleted file mode 100644 index 5f62c9daf..000000000 --- a/data/amenities_shelters_hdb_sg_v2.yaml +++ /dev/null @@ -1,425 +0,0 @@ -openapi: 3.0.1 -info: - title: HDB Shelters Locations (SG) - x-subscribelink: amenities_shelters_hdb_sg - description: |+ - This Data microservice returns the indicative outline of shelters for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and/or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format. - - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. - x-additionalinfo : |+ - **Match types:** - A match type is a match operator. The supported match types are: - * **match_phrase** - Search within a full text field - > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} - * **match** - Search within a full text field for a single word - > {"match":{"properties.quality":"FULLY VISIBLE"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"properties.featid"}} - * **geo_distance** - Returns the geo search based on the distance and location lat/long - > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} - * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. - > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. - > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. - > WITHIN - Return all documents whose geo_shape field is within the query geometry. - type should be - > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) - > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. - > { - "geo_shape": { - "geometry": { - "shape": { - "type": "polygon", - "coordinates":[ [[ 103.757362163026585, 1.349439786854645 ], [ 103.757401139617556, 1.349479539383153 ], [ 103.757489093469715, 1.349395625337523 ], [ 103.757362163026585, 1.349439786854645 ] ]] - }, - "relation": "intersects" - } - } - } - * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - - **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. - > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides returns all road works being / to be carried out. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v2.0.0" - description: "Published Date - Apr 08, 2022" -paths: - /microservices/data/shelter/v2/getdata: - post: - tags: - - v2.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: 340461a6a0c72740ed - _index: hdb_map_index - _score: 0 - _source: - geometry: - coordinates: - - 103.83591962785529 - 1.381192407476683 - - 103.83599688718462 - 1.381088400081616 - - 103.83589434536609 - 1.381011246171939 - - 103.83581708693336 - 1.381115253563739 - - 103.83591962785529 - 1.381192407476683 - type: Polygon - geometry_type: Polygon - lastupdated: '2022-04-05T16:36:15.538Z' - properties: - featid: 34 - fmel_upd_d: '2018-06-29' - inc_crc: 0461A6A0C72740ED - lvl: GROUND LEVEL - quality: FULLY VISIBLE - type: SHELTER - _type: _doc - max_score: 0 - total: - relation: eq - value: 1582 - scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGsWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABG4WdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABG8WdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABGwWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABG0WdjVWcXJXaVhRaXVaQzBma19Jckthdw== - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - Success/Failure - scroll_id: - type: string - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Pagination id - results: - type: object - example: {} - description: Json Object of returned results - properties: - max_score: - type: float - example: 0.9 - description: The highest score value - total: - type: object - example: {} - description: Json Object of returned total - properties: - relation: - type: string - example: eq - description: Relation between total counts and display result count. - value: - type: number - example: 1 - description: Total number of records - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - properties: - type: object - example: {} - description: Json Object of returned results - properties: - featid: - type: number - example: 128 - description: Properties FEATID - lvl: - type: string - example: "GROUND LEVEL" - description: Properties Level - quality: - type: string - example: "FULLY VISIBLE" - description: Quality of Properties - type: - type: string - example: "SHELTER" - description: Property Types - inc_crc: - type: string - example: "6CBA10726FCF8D23" - description: INC_CRC - fmel_upd_d: - type: string - example: "2018-06-29" - description: fmel_upd_d - geometry: - type: geo_shape - description: Location coordinates and its type - example: {"type": "Polygon", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - geometry_type: - type: string - description: Type of Geometry Coordinates - example: "Polygon" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v2.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 08, 2022 - x-details: Data structure changed - description: Latest Version - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Archived - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index . Default - 0 - filter: - type: array - default: false - items: - type: object - example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] - description: |+ - Its a list of filters to refine the search further. Default it returns the today's latest record. Each filter consists of a match type, the field and the value. The possible match types are: - * match - * match_phrase - * geo_distance - * geo_shape - * exists - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From be5c20036f89a9ee4a5cc9bc7a9e3ef29bc855c3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:08:17 +0530 Subject: [PATCH 4678/5916] Delete building_addresses_hdb_sg_v1.yaml --- data/building_addresses_hdb_sg_v1.yaml | 424 ------------------------- 1 file changed, 424 deletions(-) delete mode 100644 data/building_addresses_hdb_sg_v1.yaml diff --git a/data/building_addresses_hdb_sg_v1.yaml b/data/building_addresses_hdb_sg_v1.yaml deleted file mode 100644 index e0d870625..000000000 --- a/data/building_addresses_hdb_sg_v1.yaml +++ /dev/null @@ -1,424 +0,0 @@ -openapi: 3.0.1 -info: - title: HDB Block Coordinates (SG) - x-subscribelink: building_addresses_hdb_sg - description: |+ - This Data microservice retrieves information on Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. The information is updated monthly. A successful call will return the results of the query in JSON format. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Information from this microservice can be used to build a geo-targeting app with precise map features. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"range":{"block":{"gte":100}}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"street":"avenue 3"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"range":{"block":{"lte":200}}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match_phrase":{"street":"ang mo kio"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"ang mo kio street"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"ang mo kio"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":550151}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":[550151,550152]}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"postalcode":{"lte":650347}}} - > {"range":{"postalcode":{"gte":650347}}} - > {"range":{"postalcode":{"gte":650347,"lte":760415}}} - - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"range":{"block":{"gte":100}}}], - > "should":[{"range":{"block":{"lte":200}}}], - > "filter":[{"match_phrase":{"street":"ang mo kio"}}], - > "must_not":[{"match":{"street":"avenue 3"}}] - > } - **Sample Queries Based on Use Cases** - 1. **Search the latitude and longitude coordinates for 442 Pasir Ris Drive 6** - - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/directories_searchbranch/v1/getdata: - get: - tags: - - v1.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "serangoon" - default: false - - in: query - name: offset - schema: - type: number - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: number - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"range":{"block":{"gte":100}}}],"should":[{"range":{"block":{"lte":500}}}],"filter":[{"match_phrase":{"street":"serangoon central"}}],"must_not":[{"match":{"postalcode":343534}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 12.08503 - hits: - - _index: sentient_building_directory_index - _type: dir_doc - _id: uLxcqWgBv3dNEHq2Dznn - _score: 12.08503 - _source: - buildingname: nex - postalcode: 556083 - block: '23' - street: serangoon central - location: - lat: 1.350748 - lon: 103.872798 - source: starhub - createddate: 'Feb 01, 2019' - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: number - example: 1 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - buildingname: - type: string - description: Building Name - example: "nex" - street: - type: string - description: Street Name of Building - example: "serangoon central" - postalcode: - type: number - - description: Postal code - example: 556083 - block: - type: string - description: Block Number - example: "23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.350748,"lon":103.872798} - properties: - lat: - type: string - description: WGS84 latitude - example: 1.350748 - lon: - type: string - description: WGS84 longitude - example: 103.872798 - source: - type: string - description: Dataset source - example: "hdb" - createddate: - type: string - description: Record first released date on Sentient.io - example: "Feb 01, 2019" - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. From bf259fbdb5afb7ee492d558df8b0be7592f8e775 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:08:24 +0530 Subject: [PATCH 4679/5916] Delete carpark_hdb_sg_v1.yaml --- data/carpark_hdb_sg_v1.yaml | 501 ------------------------------------ 1 file changed, 501 deletions(-) delete mode 100644 data/carpark_hdb_sg_v1.yaml diff --git a/data/carpark_hdb_sg_v1.yaml b/data/carpark_hdb_sg_v1.yaml deleted file mode 100644 index 49c4764c3..000000000 --- a/data/carpark_hdb_sg_v1.yaml +++ /dev/null @@ -1,501 +0,0 @@ -openapi: 3.0.1 -info: - title: HDB Carpark Locations (SG) - x-subscribelink: carpark_hdb_sg - description: |+ - This Data microservice retrieves the Housing Development Board (HDB) carpark information within HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Geo-targeting app with map feature, property development planning resource, or planning for vehicle-sharing app. - - Real estate services - can be used as a background check solution to extract information related to the types and number of carparks present in an area for people with certain preferences when buying or renting a HDB home. - - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - > {"must":[{"match":{"mc":0}}]} - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":570251}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"ang mo kio"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"street":"bishan"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - **Match Types:** - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"bishan"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"bishan street 24"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"bishan street 24"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"cpk_no":"ak19"}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"cpk_no":["ak19","be33"]}} - * **range** - Returns results that contain terms within a stipulated range - > {"range":{"car":{"gte":100}}} - > {"range":{"car":{"lte":500}}} - > {"range":{"car":{"gte":100,"lte":500}}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match":{"mc":0}}], - > "filter":[{"match":{"street":"bishan"}}], - > "should":[{"match_phrase":{"street":"ang mo kio"}}], - > "must_not":[{"match":{"postalcode":570251}}] - > } - **Sample Queries Based on Use Cases** - 1. **Search for all carparks around 414 Bedok North Road** - Using a querystring only: - - > querystring = "414 bedok north road" - 2. **Search for all carparks within a 1KM radius from Tampines Mall** - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} - - 3. **Search for all carparks around Tampines with motorcycle parking** - Using both querystring + filterdata: - - > querystring = tampines - > filterdata = {"filter":[ {"range":{"mc":{"gte":1}}} ]} - - 4. **Search for all lorry parking lots for Bishan Street 22** - - Using both querystring + filterdata: - - > querystring = "bishan street 22" - > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Retrieves Housing Development Board (HDB) carpark information. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/carpark/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all carparks (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: BE33 - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match":{"mc":0}}],"filter":[{"match":{"street":"BISHAN STREET 22"}}],"should":[{"match_phrase":{"street":"BISHAN"}}],"must_not":[{"match":{"postalcode":456454}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 1 - max_score: 7.510164 - hits: - - _index: sentient_hdb_carpark_index - _type: dir_doc - _id: BE37 - _score: 7.510164 - _source: - cpk_no: BE37 - block: BLK 282 - street: BISHAN STREET 22 - address: BLK 282 BISHAN STREET 22 - source: hdb - xcoord: '29235.553' - ycoord: '37787.1371' - car: 402 - lorry: 40 - mc: 0 - createddate: '2020-09-11' - lastupdated: '2020-09-11' - location: - lat: 1.3580079412271227 - lon: 103.84442083770412 - postalcode: - - 570278 - - 570279 - - 570280 - - 570281 - - 570282 - - 570283 - - 570284 - - 570285 - - 570286 - - 570287 - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - example: 986 - description: Total number of records - max_score: - type: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - cpk_no: - type: string - description: Carpark Number - example: AK19 - block: - type: string - description: Address block no - example: "BLOCK 253" - street: - type: string - description: Address street or building name - example: "ANG MO KIO STREET 21" - address: - type: string - description: Address full address - example: "BLOCK 253 ANG MO KIO STREET 21" - source: - type: string - description: Dataset source - example: "hdb" - postalcode: - type: array - description: List of postal code - example: [570253, 570254] - items: - type: integer - format: int32 - description: postal code - example: 570253 - xcoord: - type: number - format: float - description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: 28185.4359 - ycoord: - type: number - format: float - description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: 39012.6664 - location: - type: object - description: WGS84 (World Geodetic System) lat/long coordinates. This is the standard coordinate system used Global Positioning System (GPS). - example: {"lat":1.364299477060462,"lon":103.8350609414261} - properties: - lat: - type: Number - Format: Float - description: Latitude in the WGS84 coordinate format - example: 1.37179535 - lon: - type: Number - Format: Float - description: Longitude in the WGS84 coordinate format - example: 103.8469821 - car: - type: integer - format: int32 - description: Number of car parking lots - example: 18 - lorry: - type: integer - format: int32 - description: Number of lorry parking lots - example: 6 - mc: - type: integer - format: int32 - description: Number of motorcycle parking lots - example: 0 - createddate: - type: string - format: date - description: Record first release date on sentient - example: "2019-10-17" - lastupdated: - type: string - format: date - description: Record last updated date on sentient - example: "2019-10-17" - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 15,2020 - x-details: |+ - The following additional fields are added: - 1. postalcode - list of postal code - 2. location - lat / log of the carpark park - description: Depreciating on May 20, 2021 - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Nov 25,2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. From 285bb27459f36a24160fc0ac9b1cb77dd01e90b7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:08:35 +0530 Subject: [PATCH 4680/5916] Delete commercial_directories_hdb_sg_v1.yaml --- data/commercial_directories_hdb_sg_v1.yaml | 525 --------------------- 1 file changed, 525 deletions(-) delete mode 100644 data/commercial_directories_hdb_sg_v1.yaml diff --git a/data/commercial_directories_hdb_sg_v1.yaml b/data/commercial_directories_hdb_sg_v1.yaml deleted file mode 100644 index 30d1a0a41..000000000 --- a/data/commercial_directories_hdb_sg_v1.yaml +++ /dev/null @@ -1,525 +0,0 @@ -openapi: 3.0.1 -info: - title: HDB Commercial Directories (SG) - x-subscribelink: commercial_directories_hdb_sg - description: |+ - This Data microservice retrieves the list of all retail shops within Housing Development Board (HDB) and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates and type of business. The returned dataset offers useful information like the shop operating hours and contact number. Updated weekly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: - Name retail shops in HDBs based on their GPS location. - - **Refining queries in the filterdata field using filter types and match types** - - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - > {"must":[{"match_phrase":{"name":"ang mo kio"}}]} - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - - > {"must_not":[{"match":{"trade":"shop"}}]} - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - - > {"should":[{"match":{"postalcode":650633}}]} - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - - > {"filter":[{"match":{"trade":"retail"}}]} - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - - **Match Types:** - - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - * **match** - Search within a full text field for a single word - > {"match":{"street":"bishan"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{ "street":bishan street 24"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"bishan street"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":560720}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":[560720,560721]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"postalcode":{"lte":650347}}} - > {"range":{"postalcode":{"gte":650347}}} - > {"range":{"postalcode":{"gte":650347,"lte":760415}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field": "postalcode"}} - - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - > { - > "must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}], - > "filter":[{"match":{"trade":"shop"}}], - > "should":[{"match":{"postalcode":650633}}], - > "must_not":[{"match":{"trade":"betting"}}] - > } - **Sample Queries Based on Use Cases** - - 1. **Search for all commercial directories around ang mo kio street 21** - Using a querystring only: - > querystring = "ang mo kio street 21" - 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** - Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} - - 3. **Search for all cake shop shops at Blk 122, Bukit Merah Lane 1** - Using a filterdata only: - - > filterdata = {"filter":[{"match_phrase": {"trade":"cake shop"}},{"match": {"block":"122"}},{"match_phrase": {"street":"bukit merah lane 1"}}]} - - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Retrieves the list of all retail shops within Housing Development Board. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/hdb_searchdir/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all retail shops (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "school" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match_phrase":{"name":"school"}}],"filter":[{"match":{"trade":"schools & centres"}}],"should":[{"match":{"postalcode":530202}}],"must_not":[{"match":{"trade":"betting"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 3735 - max_score: 17.995623 - hits: - - _index: sentient_hdb_directory_index - _type: dir_doc - _id: pet_specialist - _score: 1.0 - _source: - postalcode: 560720 - unit: '4102' - level: '01' - source: hdb - name: pet_specialist - phonenumber: 63553000 - email: '' - operatinghours: mon - fri 8am - 4.30pm sat 8am - 12.30pm - trade: pets - lastupdated: '2019-02-01' - type: shop - block: '720' - street: ang mo kio avenue 6 - xcoord: 29520.58 - ycoord: 39311.68 - location: - lat: 1.37179535 - lon: 103.8469821 - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - total: - type: integer - format: int32 - example: 986 - description: Total number of records - max_score: - type: number - format: float - example: 1.0 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - id: - type: string - description: Unique Id - example: "pet_specialist" - postalcode: - type: integer - format: int32 - description: Postal code of a block - example: 560720 - unit: - type: integer - format: int32 - description: Unit number - example: "4102" - level: - type: integer - format: int32 - description: Floor level - example: "01" - source: - type: string - description: Dataset source - example: "hdb" - name: - type: string - description: Business name - example: "Pets" - phonenumber: - type: integer - format: int32 - description: Contact number - example: "63553000" - email: - type: string - description: Email address - example: "amk128@renalteam.org" - operatinghours: - type: string - description: Business operating hours. Multiple values are separated using ‘;’ - example: "mon - fri 8am - 4.30pm sat 8am - 12.30pm" - trade: - type: string - description: |+ - Business trade type. Trade List are: - commercial school - shop/retail - childcare centre - confectionery - office - betting - eating house/fast food restaurant/food court - family restaurant - health centre and amusement ctr - laundry shop - showroom - pet shop - social com - supermarket - specific use - health & fitness - home - fashion & accessories - groceries - schools & centres - business - pets - dining - food products - beauty - cake shop - shopping - finance - entertainment & leisure - hobbies & interests - travel and tourism - light industrial - sports and recreation building - others - example: "shop/retail" - lastupdated: - type: string - format: date - description: Record created date - example: "2019-02-01" - type: - type: string - description: Record type - example: "shop" - block: - type: integer - format: int - description: Block number - example: "720" - street: - type: string - description: Full street name - example: "ang mo kio avenue 6" - xcoord: - type: number - format: float - description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: 29520.58 - ycoord: - type: number - format: float - description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object) - example: 39311.68 - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.364299477060462,"lon":103.8350609414261} - properties: - lat: - type: number - format: float - description: Latitude in the WGS84 coordinate format - example: 1.37179535 - lon: - type: number - format: float - description: Longitude in the WGS84 coordinate format - example: 103.8469821 - message: - type: string - example: Successfully Processed - description: Description of the API status. - status: - type: string - example: Success - description: The status of the API call - success/failure. - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 26,2018 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. From 6f89197e90a25fe77bbdd407d8a051a6408e8312 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:08:45 +0530 Subject: [PATCH 4681/5916] Delete d&b_basic_individual_search_sg_v1.yaml --- data/d&b_basic_individual_search_sg_v1.yaml | 1418 ------------------- 1 file changed, 1418 deletions(-) delete mode 100644 data/d&b_basic_individual_search_sg_v1.yaml diff --git a/data/d&b_basic_individual_search_sg_v1.yaml b/data/d&b_basic_individual_search_sg_v1.yaml deleted file mode 100644 index bb3fae051..000000000 --- a/data/d&b_basic_individual_search_sg_v1.yaml +++ /dev/null @@ -1,1418 +0,0 @@ -openapi: 3.0.1 -info: - title: D&B Basic Individual Search (SG) - description: |+ - This Data microservice provides the information on the business interest and involvement of an individual residing in Singapore. It includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and number of times this individual has been searched on. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation. - - Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. - version: '1.0.0' - x-subscribelink: d&b_basic_individual_search_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Retrieves information on the business interest and involvement of an individual residing in Singapore. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/sbis/v1/getdata: - post: - tags: - - v1 - summary: Adds a new user - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - REPORT: - META_INFO: - SERVICE: BIS - SYSTEM_ID: DDP - CREATION_DATE: 25/02/2009 17:31:44.678 - USER_ID: plcust102 - BASIC_INFO: - PA_REG_NO: - "@type": String - "#text": '00091' - ADDRESS1: 137, BEDOK RESERVOIR ROAD, 06 - 1451 - ADDRESS2: "-" - ADDRESS3: 470137, SINGAPORE - LIT_SEARCH_INFO: - COMP_NAME: ENG YICK HOLDINGS PTE LTD - REG_NO: 197803191K - REPORT_TYPE: BIS - REQ_DATE: 25/02/2009 17:31:44 - REQ_REG_NO: 197803191K - REQ_NAME: LOY KOK TOON - REQ_DATE_STR: 25/02/2009 15:04:14 - LIST_CURRENT_COMP: - CURRENT_COMP: - POSITION: OWNER - APPOINTMENT_DATE: 01/09/1971 - COMP_NAME: BAN HOE LEONG COMPANY - SEQ_NO: 03647300J - SHARE_VALUE1: '15.00' - COMP_STATUS: LIVE - PROFIT_VALUE1: 2008 = - - PROFIT_VALUE2: 2007 = - - PROFIT_VALUE3: 2006 = - - SHARE_VALUE: '150000' - TEL: '62994842' - FAX: '62992797' - SIC: '5012' - SIC_DESC: Automobiles and other Motor Vehicles - LIST_PREVIOUS_COMP: - PREVIOUS_COMP: - POSITION: SHAREHOLDER - APPOINTMENT_DATE: 30/06/1988 - COMP_NAME: ENG YICK INDUSTRIES PTE LTD - SEQ_NO: 198101820Z - SHARE_VALUE1: '100.00' - COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) - CESSATION_DATE: 22/09/1992 - SHARE_VALUE: '390002' - TEL: '62994842' - FAX: '67467646' - SIC: '2325' - SIC_DESC: Menâ€TMs and Boysâ€TM Separate Trousers and Slacks - LIST_BANKRUPTCY: - BANKRUPTCY: - SUBJECT_NAME: "-" - COURT_CODE: CWU - CASE_CODE: '381' - CASE_YEAR: '2000' - ACTION_DATE: 22/12/2000 - BANKRUPTCY_ACT: Petition for Winding Up - HEARING_DATE: 26/03/2009 - CURRENCY1: "-" - AMOUNT1: '334,616.00' - CURRENCY2: "-" - AMOUNT2: '0.00' - CURRENCY3: "-" - AMOUNT3: '0.00' - BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - LIST_LIT: - LIT: - SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD - SEQ_NO: '1' - FORMATTED_ID: 197803191K - LIST_LIT_DTL: - LIT_DTL: - NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED - STATUS_DATE: 13/08/2001 - CASE_NO: MC 23631 / 2001 - FORMATTED_ID: 197803191K - DOC_REMARKS: WRIT OF SUMMONS - CURRENCY1: SIN - CURRENCY2: "-" - CURRENCY3: "-" - CURRENCY4: "-" - CURRENCY5: "-" - CASE_STATUS: PENDING AS AT STATUS DATE - AMOUNT1: '36,196.00' - AMOUNT2: '0.00' - AMOUNT3: '0.00' - AMOUNT4: '0.00' - AMOUNT5: '0.00' - LIST_PLAINTIFF: - PLAINTIFF: - - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - - PLA_NAME: ABC PTE LTD - LAW_FIRM: JAMES & JOE - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: KHOO JAMES - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 X10 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - LIST_DEFENDANT: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - LIST_Ddrptcount: - Ddrptcount: - - Rcjan: '1' - Rcfeb: '1' - Rcmar: '1' - Rcapr: '1' - Rcmay: '1' - Rcjun: '1' - Rcjul: '1' - Rcaug: '1' - Rcsep: '1' - Rcoct: '1' - Rcnov: '1' - Rcdec: '1' - Rcyear: '2017' - Rcsecflag: '1' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2016' - Rcsecflag: '1' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2015' - Rcsecflag: '1' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2017' - Rcsecflag: '0' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2016' - Rcsecflag: '0' - - Rcjan: '0' - Rcfeb: '0' - Rcmar: '0' - Rcapr: '0' - Rcmay: '0' - Rcjun: '0' - Rcjul: '0' - Rcaug: '0' - Rcsep: '0' - Rcoct: '0' - Rcnov: '0' - Rcdec: '0' - Rcyear: '2015' - Rcsecflag: '0' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [BASIC_INFO] - [LIT_SEARCH_INFO] - [LIST_CURRENT_COMP] - [LIST_PREVIOUS_COMP] - [LIST_BANKRUPTCY] - [LIST_LIT] - [LIST_LIT_DTL] - properties: - META_INFO: - type: object - example: - META_INFO: - SERVICE: BIS - SYSTEM_ID: DDP - CREATION_DATE: 25/02/2009 17:31:44.678 - USER_ID: plcust102 - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - properties: - SERVICE: - type: string - example: "BIS" - description: Report Requested - SYSTEM_ID : - type: string - example: "DDP" - description: System ID - CREATION_DATE: - type: datetime - example: "25/02/2009 17:31:44.678" - description: Report Request Date - USER_ID : - type: string - example: N/A - description: Valid user id in DDP system. It is for (For internal use) - BASIC_INFO : - type: object - description: |+ - Basic Information with following children: - PA_REG_NO - ADDRESS1 - ADDRESS2 - ADDRESS3 - example: - BASIC_INFO: - PA_REG_NO: - "@type": String - "#text": '00091' - ADDRESS1: 137, BEDOK RESERVOIR ROAD, 06 - 1451 - ADDRESS2: "-" - ADDRESS3: 470137, SINGAPORE - properties: - PA_REG_NO: - type: string - description: Public Accountant Registration No. - example: "00091" - ADDRESS1: - type: string - description: Address 1 - example: "137" - ADDRESS2: - type: string - description: Address 2 - example: "vvvvv" - ADDRESS3: - type: string - description: Address 3 - example: "470137, SINGAPORE" - LIT_SEARCH_INFO : - type: object - example: - LIT_SEARCH_INFO: - COMP_NAME: ENG YICK HOLDINGS PTE LTD - REG_NO: 197803191K - REPORT_TYPE: BIS - REQ_DATE: 25/02/2009 17:31:44 - REQ_REG_NO: 197803191K - REQ_NAME: LOY KOK TOON - REQ_DATE_STR: 25/02/2009 15:04:14 - description: |+ - Litigation search information with following children: - COMP_NAME - REG_NO - REPORT_TYPE - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK HOLDINGS PTE LTD" - REG_NO: - type: string - description: Company Registration No - example: "197803191K" - REPORT_TYPE: - type: string - description: Report Type - example: "BIS" - REQ_DATE: - type: datetime - description: Requested Date - example: "25/02/2009 17:31:44" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197803191K" - REQ_NAME: - type: string - description: Request Name - example: "LOY KOK TOON" - REQ_DATE_STR: - type: string - description: Request Date String - example: "25/02/2009 15:04:14" - LIST_CURRENT_COMP : - type: array - description: |+ - List of current companies with following children: - [CURRENT_COMP] - example: - LIST_CURRENT_COMP: - CURRENT_COMP: - POSITION: OWNER - APPOINTMENT_DATE: 01/09/1971 - COMP_NAME: BAN HOE LEONG COMPANY - SEQ_NO: 03647300J - SHARE_VALUE1: '15.00' - COMP_STATUS: LIVE - PROFIT_VALUE1: 2008 = - - PROFIT_VALUE2: 2007 = - - PROFIT_VALUE3: 2006 = - - SHARE_VALUE: '150000' - TEL: '62994842' - FAX: '62992797' - SIC: '5012' - SIC_DESC: Automobiles and other Motor Vehicles - items: - properties: - CURRENT_COMP: - type: object - description: |+ - Current companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - PROFIT_VALUE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: - CURRENT_COMP: - POSITION: OWNER - APPOINTMENT_DATE: 01/09/1971 - COMP_NAME: BAN HOE LEONG COMPANY - SEQ_NO: 03647300J - SHARE_VALUE1: '15.00' - COMP_STATUS: LIVE - PROFIT_VALUE1: 2008 = - - PROFIT_VALUE2: 2007 = - - PROFIT_VALUE3: 2006 = - - SHARE_VALUE: '150000' - TEL: '62994842' - FAX: '62992797' - SIC: '5012' - SIC_DESC: Automobiles and other Motor Vehicles - properties: - POSITION: - type: string - description: Position - example: "OWNER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "01/09/1971" - COMP_NAME: - type: string - description: Company Name - example: "BAN HOE LEONG COMPANY" - SEQ_NO: - type: string - description: Company Registration No. - example: "03647300J" - SHARE_VALUE1: - type: string - description: Share Percentage - example: "15.00" - COMP_STATUS: - type: string - description: Company Status - example: "LIVE" - PROFIT_VALUE1: - type: string - description: Profit Making 1 - example: "2008 = -" - PROFIT_VALUE2: - type: string - description: Profit Making 2 - example: "2007 = -" - PROFIT_VALUE3: - type: string - description: Profit Making 3 - example: "2006 = -" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "150000" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "62992797" - SIC: - type: string - description: SIC Code - example: "5012" - SIC_DESC: - type: string - description: SIC Description - example: "Automobiles and other Motor Vehicles" - LIST_PREVIOUS_COMP: - type: array - example: - LIST_PREVIOUS_COMP: - PREVIOUS_COMP: - POSITION: SHAREHOLDER - APPOINTMENT_DATE: 30/06/1988 - COMP_NAME: ENG YICK INDUSTRIES PTE LTD - SEQ_NO: 198101820Z - SHARE_VALUE1: '100.00' - COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) - CESSATION_DATE: 22/09/1992 - SHARE_VALUE: '390002' - TEL: '62994842' - FAX: '67467646' - SIC: '2325' - SIC_DESC: Men’s and Boys’ Separate Trousers and Slacks - description: |+ - List of previous companies with following children: - [PREVIOUS_COMP] - items: - properties: - PREVIOUS_COMP : - type: object - description: |+ - Previous companies detail with following children: - POSITION - APPOINTMENT_DATE - COMP_NAME - SEQ_NO - SHARE_VALUE1 - COMP_STATUS - CESSATION_DATE - SHARE_VALUE - TEL - FAX - SIC - SIC_DESC - example: - PREVIOUS_COMP: - POSITION: SHAREHOLDER - APPOINTMENT_DATE: 30/06/1988 - COMP_NAME: ENG YICK INDUSTRIES PTE LTD - SEQ_NO: 198101820Z - SHARE_VALUE1: '100.00' - COMP_STATUS: DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY) - CESSATION_DATE: 22/09/1992 - SHARE_VALUE: '390002' - TEL: '62994842' - FAX: '67467646' - SIC: '2325' - SIC_DESC: Men’s and Boys’ Separate Trousers and Slacks - properties: - POSITION : - type: string - description: Position - example: "SHAREHOLDER" - APPOINTMENT_DATE: - type: string - description: Appointment Date - example: "30/06/1988" - COMP_NAME: - type: string - description: Company Name - example: "ENG YICK INDUSTRIES PTE LTD" - SEQ_NO: - type: string - description: Company Registration No. - example: "198101820Z" - SHARE_VALUE1: - type: string - description: Share Value Percentage - example: "100.00" - COMP_STATUS: - type: string - description: Company Status - example: "DISSOLVED - COMPULSORY WINDING UP (INSOLVENCY)" - CESSATION_DATE : - type: string - description: Cessation Date - example: "22/09/1992" - SHARE_VALUE: - type: string - description: Number Of Shares - example: "390002" - TEL: - type: string - description: Telephone Number - example: "62994842" - FAX: - type: string - description: Fax Number - example: "67467646" - SIC: - type: string - description: SIC Code - example: "2325" - SIC_DESC: - type: string - description: SIC Description - example: "Men’s and Boys’ Separate Trousers and Slacks" - LIST_BANKRUPTCY: - type: array - description: |+ - Bankruptcy/ Winding up with following children: - [BANKRUPTCY] - example: - LIST_BANKRUPTCY: - BANKRUPTCY: - SUBJECT_NAME: "-" - COURT_CODE: CWU - CASE_CODE: '381' - CASE_YEAR: '2000' - ACTION_DATE: 22/12/2000 - BANKRUPTCY_ACT: Petition for Winding Up - HEARING_DATE: 26/03/2009 - CURRENCY1: "-" - AMOUNT1: '334,616.00' - CURRENCY2: "-" - AMOUNT2: '0.00' - CURRENCY3: "-" - AMOUNT3: '0.00' - BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - items: - properties: - BANKRUPTCY : - type: object - description: |+ - Bankruptcy/Winding up detail with following children: - SUBJECT_NAME - COURT_CODE - CASE_CODE - CASE_YEAR - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - BANKRUPTCY_TYPE - [LIST_PLAINTIFF] - example: - BANKRUPTCY: - SUBJECT_NAME: "-" - COURT_CODE: CWU - CASE_CODE: '381' - CASE_YEAR: '2000' - ACTION_DATE: 22/12/2000 - BANKRUPTCY_ACT: Petition for Winding Up - HEARING_DATE: 26/03/2009 - CURRENCY1: "-" - AMOUNT1: '334,616.00' - CURRENCY2: "-" - AMOUNT2: '0.00' - CURRENCY3: "-" - AMOUNT3: '0.00' - BANKRUPTCY_TYPE: COMPANY WINDING UP PETITION - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: - COURT_CODE: - type: string - description: Court Code - example: "CWU" - CASE_CODE: - type: string - description: Case Code - example: "381" - CASE_YEAR: - type: string - description: Case Year - example: "2000" - ACTION_DATE: - type: string - description: Action Date - example: "22/12/2000" - BANKRUPTCY_ACT: - type: string - description: Act of Bankruptcy - example: "Petition for Winding Up" - HEARING_DATE : - type: string - description: Hearing Date - example: "26/03/2009" - CURRENCY1: - type: string - description: Currency - example: - AMOUNT1: - type: string - description: Amount - example: "334,616.00" - CURRENCY2: - type: string - description: Currency - example: - AMOUNT2: - type: string - description: Amount - example: "0.00" - CURRENCY3: - type: string - description: Currency - example: - AMOUNT3: - type: string - description: Amount - example: "0.00" - BANKRUPTCY_TYPE: - type: string - description: Bankruptcy Type - example: "COMPANY WINDING UP PETITION" - LIST_PLAINTIFF: - type: array - description: |+ - List of Plaintiff with following children: - [PLAINTIFF] - example: - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - example: - PLAINTIFF: - PLA_NAME: B 2003 P1 - PLA_SOLICITOR: PATRICK KHOO ENG HOCK - PLA_SOLICITOR_ID: "-" - PLA_FILE_REF: RSP/292668/1 - properties: - PLA_NAME: - type: string - description: Pla. Name - example: "B 2003 P1" - PLA_SOLICITOR: - type: string - description: Pla. Solicitor - example: "PATRICK KHOO ENG HOCK" - PLA_SOLICITOR_ID: - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "RSP/292668/1" - LIST_LIT: - type: array - description: |+ - List of litigation with following children: - [LIT] - example: - LIST_LIT: - LIT: - SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD - SEQ_NO: '1' - FORMATTED_ID: 197803191K - items: - properties: - LIT: - type: object - description: |+ - Basic litigation info with following children: - SUBJECT_NAME - SEQ_NO - FORMATTED_ID - [LIST_LIT_DTL] - example: - LIT: - SUBJECT_NAME: ENG YICK HOLDINGS PTE LTD - SEQ_NO: '1' - FORMATTED_ID: 197803191K - properties: - SUBJECT_NAME: - type: string - description: Name - example: "ENG YICK HOLDINGS PTE LTD" - SEQ_NO: - type: integer - description: Sequence No. - example: 1 - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - LIST_LIT_DTL: - type: array - description: |+ - List of litigation detail with following children: - [LIT_DTL] - example: - LIST_LIT_DTL: - LIT_DTL: - NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED - STATUS_DATE: 13/08/2001 - CASE_NO: MC 23631 / 2001 - FORMATTED_ID: 197803191K - DOC_REMARKS: WRIT OF SUMMONS - CURRENCY1: SIN - CURRENCY2: "-" - CURRENCY3: "-" - CURRENCY4: "-" - CURRENCY5: "-" - CASE_STATUS: PENDING AS AT STATUS DATE - AMOUNT1: '36,196.00' - AMOUNT2: '0.00' - AMOUNT3: '0.00' - AMOUNT4: '0.00' - AMOUNT5: '0.00' - LIST_PLAINTIFF: - PLAINTIFF: - - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - - PLA_NAME: ABC PTE LTD - LAW_FIRM: JAMES & JOE - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: KHOO JAMES - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 X10 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - LIST_DEFENDANT: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - items: - properties: - LIT_DTL: - type: object - description: |+ - Litigation detail with following children: - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - FORMATTED_ID - DOC_REMARKS - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - CASE_STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - [LIST_PLAINTIFF] - [LIST_DEFENDANT] - example: - LIT_DTL: - NATURE_OF_CLAIM: CONTRACTS-WORK DONE & SERVICES RENDERED - STATUS_DATE: 13/08/2001 - CASE_NO: MC 23631 / 2001 - FORMATTED_ID: 197803191K - DOC_REMARKS: WRIT OF SUMMONS - CURRENCY1: SIN - CURRENCY2: "-" - CURRENCY3: "-" - CURRENCY4: "-" - CURRENCY5: "-" - CASE_STATUS: PENDING AS AT STATUS DATE - AMOUNT1: '36,196.00' - AMOUNT2: '0.00' - AMOUNT3: '0.00' - AMOUNT4: '0.00' - AMOUNT5: '0.00' - LIST_PLAINTIFF: - PLAINTIFF: - - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - - PLA_NAME: ABC PTE LTD - LAW_FIRM: JAMES & JOE - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: KHOO JAMES - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 X10 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - LIST_DEFENDANT: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - properties: - NATURE_OF_CLAIM: - type: string - description: Nature of Claim - example: "CONTRACTS-WORK DONE & SERVICES RENDERED" - STATUS_DATE: - type: string - description: Status Date - example: "13/08/2001" - CASE_NO: - type: string - description: Case No. - example: "MC 23631 / 2001" - FORMATTED_ID: - type: string - description: Formatted ID - example: "197803191K" - DOC_REMARKS: - type: string - description: Document Remark - example: "WRIT OF SUMMONS" - CURRENCY1: - type: string - description: Currency 1 - example: "SIN" - CURRENCY2: - type: string - description: Currency 2 - example: - CURRENCY3: - type: string - description: Currency 3 - example: - CURRENCY4: - type: string - description: Currency 4 - example: - CURRENCY5: - type: string - description: Currency 5 - example: - CASE_STATUS: - type: string - description: Status - example: "PENDING AS AT STATUS DATE" - AMOUNT1: - type: string - description: Amount 1 - example: "36,196.00" - AMOUNT2: - type: string - description: Amount 2 - example: "0.00" - AMOUNT3: - type: string - description: Amount 3 - example: "0.00" - AMOUNT4: - type: string - description: Amount 4 - example: "0.00" - AMOUNT5: - type: string - description: Amount 5 - example: "0.00" - LIST_PLAINTIFF: - type: array - description: |+ - List of plaintiff with following children: - [PLAINTIFF] - example: - LIST_PLAINTIFF: - PLAINTIFF: - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - items: - properties: - PLAINTIFF: - type: object - description: |+ - Plaintiff detail with following children: - PLA_NAME - LAW_FIRM - WRITE_DATE - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_STATUS - PLA_STATUS_DATE - PLA_ID - example: - PLAINTIFF: - PLA_NAME: ROTARY PILING PTE LTD - LAW_FIRM: JOSEPH HOO MORRIS & KUMAR - WRITE_DATE: 13/08/2001 - PLA_SOLICITOR: HOO JOSEPH - PLA_SOLICITOR_ID: ORS - PLA_FILE_REF: CHH 6253 D27 - PLA_STATUS: "-" - PLA_STATUS_DATE: "-" - PLA_ID: S7250163B - properties: - PLA_NAME: - type: string - description: Plaintiff Name - example: "ROTARY PILING PTE LTD" - LAW_FIRM: - type: string - description: Pla. Law Firm - example: "JOSEPH HOO MORRIS & KUMAR" - WRITE_DATE: - type: string - description: Writ date - example: "13/08/2001" - PLA_SOLICITOR: - type: string - description: Plaintiff Solicitor - example: "HOO JOSEPH" - PLA_SOLICITOR_ID: - type: string - description: Plaintiff Solicitor ID - example: "ORS" - PLA_FILE_REF: - type: string - description: Pla. File Ref. - example: "CHH 6253 D27" - PLA_STATUS: - type: string - description: Plaintiff Status - example: - PLA_STATUS_DATE: - type: string - description: Plaintiff Status Date - example: - PLA_ID: - type: string - description: Plaintiff ID - example: "S7250163B" - LIST_DEFENDANT: - type: array - description: |+ - List of defendant with following children: - [DEFENDANT] - example: - LIST_DEFENDANT: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - items: - properties: - DEFENDANT: - type: object - description: |+ - Defendant detail with following children: - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - example: - DEFENDANT: - DEF_SOLICITOR: "-" - DEF_SOLICITOR_ID: N/A - DEF_LAW_FIRM: "-" - DEF_FILE_REF: "-" - properties: - DEF_SOLICITOR: - type: string - description: Def. Solicitor - example: - DEF_SOLICITOR_ID: - type: string - description: Def. Solicitor ID - example: N/A - DEF_LAW_FIRM: - type: string - description: Def. Law Firm - example: - DEF_FILE_REF: - type: string - description: Def. File Ref. - example: - LIST_Ddrptcount: - type: array - description: |+ - List of Search By Financial Sectors and Search By Non-Financial Sectors with following children: - [Ddrptcount] - example: - LIST_Ddrptcount: - Ddrptcount: - Rcjan: '1' - Rcfeb: '1' - Rcmar: '1' - Rcapr: '1' - Rcmay: '1' - Rcjun: '1' - Rcjul: '1' - Rcaug: '1' - Rcsep: '1' - Rcoct: '1' - Rcnov: '1' - Rcdec: '1' - Rcyear: '2017' - Rcsecflag: '1' - items: - properties: - Ddrptcount: - type: object - description: |+ - 6 XML tags (open then close) displays Search By Financial Sectors (counts for 3 recent years).Search By Non-Financial Sectors (counts for 3 recent years) with following children: - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcyear - Rcsecflag - example: - Ddrptcount: - Rcjan: '1' - Rcfeb: '1' - Rcmar: '1' - Rcapr: '1' - Rcmay: '1' - Rcjun: '1' - Rcjul: '1' - Rcaug: '1' - Rcsep: '1' - Rcoct: '1' - Rcnov: '1' - Rcdec: '1' - Rcyear: '2017' - Rcsecflag: '1' - properties: - Rcjan: - type: integer - description: Count for January - example: "1" - Rcfeb: - type: integer - description: Count for February - example: "1" - Rcmar: - type: integer - description: Count for March - example: "1" - Rcapr: - type: integer - description: Count for April - example: "1" - Rcmay: - type: integer - description: Count for May - example: "1" - Rcjun: - type: integer - description: Count for June - example: "1" - Rcjul: - type: integer - description: Count for July - example: "1" - Rcaug: - type: integer - description: Count for August - example: "1" - Rcsep: - type: integer - description: Count for September - example: "1" - Rcoct: - type: integer - description: Count for October - example: "1" - Rcnov: - type: integer - description: Count for November - example: "1" - Rcdec: - type: integer - description: Count for December - example: "1" - Rcyear: - type: integer - description: To show the year - example: "1" - Rcsecflag: - type: integer - description: Differentiate Search By Financial Sectors and Search By Non-Financial Sectors - example: "1" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: - total_items: - type: integer - example: 1 - description: Number of subjects being enquired relating to the Run - default: false - subject_idno: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - subject_name: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json Format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From f9530ba310ee35bf23b037f72ba2eebdca25b706 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:08:51 +0530 Subject: [PATCH 4682/5916] Delete d&b_brief_financial_information_sg_v1.yaml --- ...d&b_brief_financial_information_sg_v1.yaml | 1616 ----------------- 1 file changed, 1616 deletions(-) delete mode 100644 data/d&b_brief_financial_information_sg_v1.yaml diff --git a/data/d&b_brief_financial_information_sg_v1.yaml b/data/d&b_brief_financial_information_sg_v1.yaml deleted file mode 100644 index 0f1441492..000000000 --- a/data/d&b_brief_financial_information_sg_v1.yaml +++ /dev/null @@ -1,1616 +0,0 @@ -openapi: 3.0.1 -info: - title: D&B Brief Financial Information (SG) - description: This Data microservice provides an annual financial information of Singapore-registered businesses which includes profit and loss and financial ratios. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios. - - Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. - version: '1.0.0' - x-subscribelink: d&b_brief_financial_information_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides an annual financial information of Singapore-registered businesses. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/sbfe/v1/getdata: - post: - tags: - - v1.0.0 - summary: Adds a new user - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - META_INFO: - SERVICE: BFE - SYSTEM_ID: DDP - CREATION_DATE: 25/02/2009 17:31:44> - USER_ID: plcust102 - FH_SEARCH_INFO: - COMP_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. - REG_NO: 200003058W - REQ_DATE: '2009-04-21 10:56:06.716' - REQ_REG_NO: 200003058W - REQ_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. - REQ_DATE_STR: 21/04/2009 10:56:06 - FH_BEFORE_YR1: '2004' - FH_BEFORE_YR2: '2003' - FH_BEFORE_YR3: '2002' - FH_AFTER_YR1: '2005' - FH_AFTER_YR2: '2006' - FH_AFTER_YR3: '2007' - FH_AFTER_YR4: '2008' - FH_AFTER_YR5: '2009' - AC_RATIOS_YR1: '2008' - AC_RATIOS_YR2: '2007' - AC_RATIOS_YR3: '2006' - AC_RATIOS_YR4: '2005' - AC_RATIOS_YR5: '2004' - FH_DTL: - FH_YR1_CURR: "(SGD)" - FH_YR2_CURR: "(SGD)" - FH_YR3_CURR: "(SGD)" - TURNOVER1: '9403795.00' - TURNOVER2: '8617168.00' - TURNOVER3: '7807393.00' - PL_BEF_TAX1: '31467.00' - PL_BEF_TAX2: '162620.00' - PL_BEF_TAX3: '1281387.00' - PL_AFT_TAX1: '31467.00' - PL_AFT_TAX2: '162620.00' - PL_AFT_TAX3: '1281387.00' - NETINC_NON_EXT1: '0.00' - NETINC_NON_EXT2: '0.00' - NETINC_NON_EXT3: 60318.00> - PL_AFT_TAX_EXT1: '31467.00' - PL_AFT_TAX_EXT2: '162620.00' - PL_AFT_TAX_EXT3: '1341705.00' - TOT_ASSETS1: '3889213.00' - TOT_ASSETS2: '3395740.00' - TOT_ASSETS3: '4374368.00' - TA_CURRENT1: '3359007.00' - TA_CURRENT2: '2855754.00' - TA_CURRENT3: '3546381.00' - TA_FIXED1: '530206.00' - TA_FIXED2: '539986.00' - TA_FIXED3: 827987.00> - TOT_LIABILITIES1: '7370430.00' - TOT_LIABILITIES2: '6845490.00' - TOT_LIABILITIES3: '7661498.00' - TL_CURRENT1: '6739073.00' - TL_CURRENT2: '6157560.00' - TL_CURRENT3: '6435365.00' - TL_NON_CURRENT1: '631357.00' - TL_NON_CURRENT2: '687930.00' - TL_NON_CURRENT3: '122133.00' - SH_FUNDS1: "-3481217.00" - SH_FUNDS2: "-3449750.00" - SH_FUNDS3: "-3287130.00" - SH_PAIDUP_CAPITAL1: '2000000.00' - SH_PAIDUP_CAPITAL2: '2000000.00' - SH_PAIDUP_CAPITAL3: '2000000.00' - SH_RESERVES1: '0.00' - SH_RESERVES2: '0.00' - SH_RESERVES3: '0.00' - SH_ACCUM_LOSS1: '5481217.00' - SH_ACCUM_LOSS2: '5449750.00' - SH_ACCUM_LOSS3: '5287130.00' - GRP_TURNOVER1: '0.00' - GRP_TURNOVER2: '0.00' - GRP_TURNOVER3: '0.00' - GRP_PL_BEF_TAX1: '0.00' - GRP_PL_BEF_TAX2: '0.00' - GRP_PL_BEF_TAX3: '0.00' - GRP_PL_AFT_TAX1: '0.00' - GRP_PL_AFT_TAX2: '0.00' - GRP_PL_AFT_TAX3: '0.00' - GRP_NETINC_NON_EXT1: '0.00' - GRP_NETINC_NON_EXT2: '0.00' - GRP_NETINC_NON_EXT3: '0.00' - GRP_PL_AFT_TAX_EXT1: '0.00' - GRP_PL_AFT_TAX_EXT2: '0.00' - GRP_PL_AFT_TAX_EXT3: '0.00' - GRP_TOT_ASSETS1: '0.00' - GRP_TOT_ASSETS2: '0.00' - GRP_TOT_ASSETS3: '0.00' - GRP_TA_CURRENT1: '0.00' - GRP_TA_CURRENT2: '0.00' - GRP_TA_CURRENT3: '0.00' - GRP_TA_FIXED1: '0.00' - GRP_TA_FIXED2: '0.00' - GRP_TA_FIXED3: '0.00' - GRP_TOT_LIABILITIES1: '0.00' - GRP_TOT_LIABILITIES2: '0.00' - GRP_TOT_LIABILITIES3: '0.00' - GRP_TL_CURRENT1: '0.00' - GRP_TL_CURRENT2: '0.00' - GRP_TL_CURRENT3: '0.00' - GRP_TL_NON_CURRENT1: '0.00' - GRP_TL_NON_CURRENT2: '0.00' - GRP_TL_NON_CURRENT3: '0.00' - GRP_SH_FUNDS1: '0.00' - GRP_SH_FUNDS2: '0.00' - GRP_SH_FUNDS3: '0.00' - GRP_SH_PAIDUP_CAPITAL1: '0.00' - GRP_SH_PAIDUP_CAPITAL2: '0.00' - GRP_SH_PAIDUP_CAPITAL3: '0.00' - GRP_SH_RESERVES1: '0.00' - GRP_SH_RESERVES2: '0.00' - GRP_SH_RESERVES3: '0.00' - GRP_SH_ACCUM_LOSS1: '0.00' - GRP_SH_ACCUM_LOSS2: '0.00' - GRP_SH_ACCUM_LOSS3: '0.00' - GRP_INDICATOR1: B - GRP_INDICATOR2: B - GRP_INDICATOR3: B - XBRL_DTL: - XBRL_YR1_CURR: "(SGD)" - XBRL_YR2_CURR: "(SGD)" - REVENUE1: '10877254.00' - REVENUE2: '9982533.00' - PL_BEF_TAX1: '1121483.00' - PL_BEF_TAX2: '262632.00' - PL_AFT_TAX1: '1347380.00' - PL_AFT_TAX2: '262632.00' - TOT_ASSETS1: '6562990.00' - TOT_ASSETS2: '5424551.00' - TA_CURRENT1: '6283449.00' - TA_CURRENT2: '4948821.00' - TA_NON_CURRENT1: '279541.00' - TA_NON_CURRENT2: '475730.00' - TOT_LIABILITIES1: '8434195.00' - TOT_LIABILITIES2: '8643136.00' - TL_CURRENT1: '8434195.00' - TL_CURRENT2: '7933013.00' - TL_NON_CURRENT1: '0.00' - TL_NON_CURRENT2: '710123.00' - TOT_EQUITY1: "-1871205.00" - TOT_EQUITY2: "-3218585.00" - EQ_SH_CAPITAL1: '2000000.00' - EQ_SH_CAPITAL2: '2000000.00' - EQ_RESERVES1: '0.00' - EQ_RESERVES2: '0.00' - EQ_RETAINED_EARN1: "-3,871,205.00" - EQ_RETAINED_EARN2: "-5,218,585.00" - GRP_REVENUE1: '0.00' - GRP_REVENUE2: '0.00' - GRP_PL_BEF_TAX1: '0.00' - GRP_PL_BEF_TAX2: '0.00' - GRP_PL_AFT_TAX1: '0.00' - GRP_PL_AFT_TAX2: '0.00' - GRP_TOT_ASSETS1: '0.00' - GRP_TOT_ASSETS2: '0.00' - GRP_TA_CURRENT1: '0.00' - GRP_TA_CURRENT2: '0.00' - GRP_TA_NON_CURRENT1: '0.00' - GRP_TA_NON_CURRENT2: '0.00' - GRP_TOT_LIABILITIES1: '0.00' - GRP_TOT_LIABILITIES2: '0.00' - GRP_TL_CURRENT1: '0.00' - GRP_TL_CURRENT2: '0.00' - GRP_TL_NON_CURRENT1: '0.00' - GRP_TL_NON_CURRENT2: '0.00' - GRP_TOT_EQUITY1: '0.00' - GRP_TOT_EQUITY2: '0.00' - GRP_SH_CAPITAL1: '0.00' - GRP_SH_CAPITAL2: '0.00' - GRP_RESERVES1: '0.00' - GRP_RESERVES2: '0.00' - GRP_RETAINED_EARN1: '0.00' - GRP_RETAINED_EARN2: '0.00' - GRP_INDICATOR1: B - GRP_INDICATOR2: B - GRP_INDICATOR3: B - FH_RATIOS_DTL: - RATE_NET_PROFIT1: '12.39' - RATE_NET_PROFIT2: '2.63' - RATE_NET_PROFIT3: '0.00' - RATE_NET_PROFIT4: '0.00' - RATE_NET_PROFIT5: '0.00' - RET_INVESTMENT1: '20.53' - RET_INVESTMENT2: '4.84' - RET_INVESTMENT3: '0.00' - RET_INVESTMENT4: '0.00' - RET_INVESTMENT5: '0.00' - RET_SH_FUNDS1: "-72.01" - RET_SH_FUNDS2: "-8.16" - RET_SH_FUNDS3: "-0.00" - RET_SH_FUNDS4: "-0.00" - RET_SH_FUNDS5: "-0.00" - TOT_ASSETS_TURNOVER1: '1.66' - TOT_ASSETS_TURNOVER2: '1.84' - TOT_ASSETS_TURNOVER3: '2.42' - TOT_ASSETS_TURNOVER4: '2.54' - TOT_ASSETS_TURNOVER5: '1.78' - CURR_CAPITAL_RATIO1: '0.74' - CURR_CAPITAL_RATIO2: '0.62' - CURR_CAPITAL_RATIO3: '0.50' - CURR_CAPITAL_RATIO4: '0.46' - CURR_CAPITAL_RATIO5: '0.55' - PROPRIETARY_RATIO1: "-28.51" - PROPRIETARY_RATIO2: "-59.33" - PROPRIETARY_RATIO3: "-89.51" - PROPRIETARY_RATIO4: "-101.59" - PROPRIETARY_RATIO5: "-75.15" - TOTAL_DEBT_RATIO1: '128.51' - TOTAL_DEBT_RATIO2: '168.27' - TOTAL_DEBT_RATIO3: '189.51' - TOTAL_DEBT_RATIO4: '201.59' - TOTAL_DEBT_RATIO5: '175.15' - LIST_FH_CHART_INFO: - - PROFIT_LOSS: '1121483.0' - REVENUE: '10877254' - YEAR: '2008' - - PROFIT_LOSS: 262632.0> - REVENUE: '9982533' - YEAR: '2007' - - PROFIT_LOSS: "-31467.0" - REVENUE: '9403795' - YEAR: '2006' - - PROFIT_LOSS: "-162620.0" - REVENUE: '8617168' - YEAR: '2005' - - PROFIT_LOSS: "-1281387.0" - REVENUE: '7807393' - YEAR: '2004' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - description: |+ - Report details with following children: - [META_INFO] - [FH_SEARCH_INFO] - [FH_DTL] - [XBRL_DTL] - [FH_RATIO_DTL] - [LIST_FH_CHART_INFO] - example: - properties: - META_INFO: - type: object - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - example: - META_INFO: - SERVICE: BFE - SYSTEM_ID: DDP - CREATION_DATE: 25/02/2009 17:31:44> - USER_ID: plcust102 - properties: - SERVICE: - type: string - description: Report Requested - example: "BFE" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: string - description: Report Request Date - example: "25/02/2009 17:31:44" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - FH_SEARCH_INFO: - type: object - description: |+ - FH search information with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - FH_BEFORE_YR1 - FH_BEFORE_YR2 - FH_BEFORE_YR3 - FH_BEFORE_YR4 - FH_BEFORE_YR5 - FH_AFTER_YR1 - FH_AFTER_YR2 - FH_AFTER_YR3 - FH_AFTER_YR4 - FH_AFTER_YR5 - AC_RATIOS_YR1 - AC_RATIOS_YR2 - AC_RATIOS_YR3 - AC_RATIOS_YR4 - AC_RATIOS_YR5 - example: - FH_SEARCH_INFO: - COMP_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. - REG_NO: 200003058W - REQ_DATE: '2009-04-21 10:56:06.716' - REQ_REG_NO: 200003058W - REQ_NAME: DUN & BRADSTREET (SINGAPORE) PTE. LTD. - REQ_DATE_STR: 21/04/2009 10:56:06 - FH_BEFORE_YR1: '2004' - FH_BEFORE_YR2: '2003' - FH_BEFORE_YR3: '2002' - FH_AFTER_YR1: '2005' - FH_AFTER_YR2: '2006' - FH_AFTER_YR3: '2007' - FH_AFTER_YR4: '2008' - FH_AFTER_YR5: '2009' - AC_RATIOS_YR1: '2008' - AC_RATIOS_YR2: '2007' - AC_RATIOS_YR3: '2006' - AC_RATIOS_YR4: '2005' - AC_RATIOS_YR5: '2004' - properties: - COMP_NAME : - type: string - description: Company Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REG_NO : - type: string - description: Company Registration No - example: "200003058W" - REQ_DATE : - type: datetime - description: Requested Date - example: "2009-04-21 10:56:06.716" - REQ_REG_NO : - type: string - description: Request Registration Number - example: "200003058W" - REQ_NAME : - type: string - description: Request Name - example: "DUN & BRADSTREET (SINGAPORE) PTE. LTD." - REQ_DATE_STR : - type: string - description: Request Date String - example: "21/04/2009 10:56:06" - FH_BEFORE_YR1 : - type: string - description: Financial Highlight filed before year 1 - example: "2004" - FH_BEFORE_YR2 : - type: string - description: Financial Highlight filed before year 2 - example: "2003" - FH_BEFORE_YR3 : - type: string - description: Financial Highlight filed before year 3 - example: "2002" - FH_AFTER_YR1: - type: string - description: Financial Highlight filed after year 1 - example: "2005" - FH_AFTER_YR2 : - type: string - description: Financial Highlight filed after year 2 - example: "2006" - FH_AFTER_YR3 : - type: string - description: Financial Highlight filed after year 3 - example: "2007" - FH_AFTER_YR4: - type: string - description: Financial Highlight filed after year 4 - example: "2008" - FH_AFTER_YR5: - type: string - description: Financial Highlight filed after year 5 - example: "2009" - AC_RATIOS_YR1 : - type: string - description: Account Ratio year 1 - example: "2008" - AC_RATIOS_YR2 : - type: string - description: Account Ratio year 2 - example: "2007" - AC_RATIOS_YR3 : - type: string - description: Account Ratio year 3 - example: "2006" - AC_RATIOS_YR4 : - type: string - description: Account Ratio year 4 - example: "2005" - AC_RATIOS_YR5 : - type: string - description: Account Ratio year 5 - example: "2004" - FH_DTL: - type: object - description: |+ - Financial Highlight with following children: - FH_YR1_CURR - TURNOVER1 - PL_BEF_TAX1 - PL_AFT_TAX1 - NETINC_NON_EXT1 - PL_AFT_TAX_EXT1 - TOT_ASSETS1 - TA_CURRENT1 - TA_FIXED1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - SH_FUNDS1 - SH_PAIDUP_CAPITAL1 - SH_RESERVES1 - SH_ACCUM_LOSS1 - GRP_TURNOVER1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_NETINC_NON_EXT1 - GRP_PL_AFT_TAX_EXT1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_FIXED1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_SH_FUNDS1 - GRP_SH_PAIDUP_CAPITAL1 - GRP_SH_RESERVES1 - GRP_SH_ACCUM_LOSS1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH data displayed in the report. - example: - FH_DTL: - FH_YR1_CURR: "(SGD)" - FH_YR2_CURR: "(SGD)" - FH_YR3_CURR: "(SGD)" - TURNOVER1: '9403795.00' - TURNOVER2: '8617168.00' - TURNOVER3: '7807393.00' - PL_BEF_TAX1: '31467.00' - PL_BEF_TAX2: '162620.00' - PL_BEF_TAX3: '1281387.00' - PL_AFT_TAX1: '31467.00' - PL_AFT_TAX2: '162620.00' - PL_AFT_TAX3: '1281387.00' - NETINC_NON_EXT1: '0.00' - NETINC_NON_EXT2: '0.00' - NETINC_NON_EXT3: 60318.00> - PL_AFT_TAX_EXT1: '31467.00' - PL_AFT_TAX_EXT2: '162620.00' - PL_AFT_TAX_EXT3: '1341705.00' - TOT_ASSETS1: '3889213.00' - TOT_ASSETS2: '3395740.00' - TOT_ASSETS3: '4374368.00' - TA_CURRENT1: '3359007.00' - TA_CURRENT2: '2855754.00' - TA_CURRENT3: '3546381.00' - TA_FIXED1: '530206.00' - TA_FIXED2: '539986.00' - TA_FIXED3: 827987.00> - TOT_LIABILITIES1: '7370430.00' - TOT_LIABILITIES2: '6845490.00' - TOT_LIABILITIES3: '7661498.00' - TL_CURRENT1: '6739073.00' - TL_CURRENT2: '6157560.00' - TL_CURRENT3: '6435365.00' - TL_NON_CURRENT1: '631357.00' - TL_NON_CURRENT2: '687930.00' - TL_NON_CURRENT3: '122133.00' - SH_FUNDS1: "-3481217.00" - SH_FUNDS2: "-3449750.00" - SH_FUNDS3: "-3287130.00" - SH_PAIDUP_CAPITAL1: '2000000.00' - SH_PAIDUP_CAPITAL2: '2000000.00' - SH_PAIDUP_CAPITAL3: '2000000.00' - SH_RESERVES1: '0.00' - SH_RESERVES2: '0.00' - SH_RESERVES3: '0.00' - SH_ACCUM_LOSS1: '5481217.00' - SH_ACCUM_LOSS2: '5449750.00' - SH_ACCUM_LOSS3: '5287130.00' - GRP_TURNOVER1: '0.00' - GRP_TURNOVER2: '0.00' - GRP_TURNOVER3: '0.00' - GRP_PL_BEF_TAX1: '0.00' - GRP_PL_BEF_TAX2: '0.00' - GRP_PL_BEF_TAX3: '0.00' - GRP_PL_AFT_TAX1: '0.00' - GRP_PL_AFT_TAX2: '0.00' - GRP_PL_AFT_TAX3: '0.00' - GRP_NETINC_NON_EXT1: '0.00' - GRP_NETINC_NON_EXT2: '0.00' - GRP_NETINC_NON_EXT3: '0.00' - GRP_PL_AFT_TAX_EXT1: '0.00' - GRP_PL_AFT_TAX_EXT2: '0.00' - GRP_PL_AFT_TAX_EXT3: '0.00' - GRP_TOT_ASSETS1: '0.00' - GRP_TOT_ASSETS2: '0.00' - GRP_TOT_ASSETS3: '0.00' - GRP_TA_CURRENT1: '0.00' - GRP_TA_CURRENT2: '0.00' - GRP_TA_CURRENT3: '0.00' - GRP_TA_FIXED1: '0.00' - GRP_TA_FIXED2: '0.00' - GRP_TA_FIXED3: '0.00' - GRP_TOT_LIABILITIES1: '0.00' - GRP_TOT_LIABILITIES2: '0.00' - GRP_TOT_LIABILITIES3: '0.00' - GRP_TL_CURRENT1: '0.00' - GRP_TL_CURRENT2: '0.00' - GRP_TL_CURRENT3: '0.00' - GRP_TL_NON_CURRENT1: '0.00' - GRP_TL_NON_CURRENT2: '0.00' - GRP_TL_NON_CURRENT3: '0.00' - GRP_SH_FUNDS1: '0.00' - GRP_SH_FUNDS2: '0.00' - GRP_SH_FUNDS3: '0.00' - GRP_SH_PAIDUP_CAPITAL1: '0.00' - GRP_SH_PAIDUP_CAPITAL2: '0.00' - GRP_SH_PAIDUP_CAPITAL3: '0.00' - GRP_SH_RESERVES1: '0.00' - GRP_SH_RESERVES2: '0.00' - GRP_SH_RESERVES3: '0.00' - GRP_SH_ACCUM_LOSS1: '0.00' - GRP_SH_ACCUM_LOSS2: '0.00' - GRP_SH_ACCUM_LOSS3: '0.00' - GRP_INDICATOR1: B - GRP_INDICATOR2: B - GRP_INDICATOR3: B - properties: - FH_YR1_CURR : - type: string - description: |+ - FH Before Year 1 Currency - Subsequent Years: - FH_YR2_CURR - FH_YR3_CURR - FH_YR4_CURR - FH_YR5_CURR - example: "(SGD)" - TURNOVER1 : - type: string - description: |+ - Turnover / Sales And Other Operating Revenues - Subsequent Years: - TURNOVER2 - TURNOVER3 - TURNOVER4 - TURNOVER5 - example: "9403795.00" - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: "31467.00" - PL_AFT_TAX1: - type: string - description: |+ - Profit / Loss After Tax - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: "31467.00" - NETINC_NON_EXT1: - type: string - description: |+ - Net Income / Loss From Extraordinary And Non- Operating Items - Subsequent Years: - NETINC_NON_EXT2 - NETINC_NON_EXT3 - NETINC_NON_EXT4 - NETINC_NON_EXT5 - example: "0.00" - PL_AFT_TAX_EXT1 : - type: string - description: |+ - Profit / Loss After Tax and Extraordinary Items - Subsequent Years: - PL_AFT_TAX_EXT2 - PL_AFT_TAX_EXT3 - PL_AFT_TAX_EXT4 - PL_AFT_TAX_EXT5 - example: "31467.00" - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: "3889213.00" - TA_CURRENT1 : - type: string - description: |+ - Total Assets - Current - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: "3359007.00" - TA_FIXED1 : - type: string - description: |+ - Total Assets – Fixed and Others - Subsequent Years: - TA_FIXED2 - TA_FIXED3 - TA_FIXED4 - TA_FIXED5 - example: "530206.00" - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: "7370430.00" - TL_CURRENT1 : - type: string - description: |+ - Total Liabilities - Current - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: "6739073.00" - TL_NON_CURRENT1 : - type: string - description: |+ - Total Liabilities – Non- Current & Long Term - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: "631357.00" - SH_FUNDS1: - type: string - description: |+ - Shareholder’s Fund - Subsequent Years: - SH_FUNDS2 - SH_FUNDS3 - SH_FUNDS4 - SH_FUNDS5 - example: "-3481217.00" - SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Shareholder’s Fund – Paid Up Capital - Subsequent Years: - SH_PAIDUP_CAPITAL2 - SH_PAIDUP_CAPITAL3 - SH_PAIDUP_CAPITAL4 - SH_PAIDUP_CAPITAL5 - example: "2000000.00" - SH_RESERVES1 : - type: string - description: |+ - Shareholder’s Fund - Reserves - Subsequent Years: - SH_RESERVES2 - SH_RESERVES3 - SH_RESERVES4 - SH_RESERVES5 - example: "0.00" - SH_ACCUM_LOSS1: - type: string - description: |+ - Shareholder’s Fund – Accumulated Loss - Subsequent Years: - SH_ACCUM_LOSS2 - SH_ACCUM_LOSS3 - SH_ACCUM_LOSS4 - SH_ACCUM_LOSS5 - example: "5481217.00" - GRP_TURNOVER1 : - type: string - description: |+ - Group Turnover / Sales and Other Operating Revenues - Subsequent Years: - GRP_TURNOVER2 - GRP_TURNOVER3 - GRP_TURNOVER4 - GRP_TURNOVER5 - example: "0.00" - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: "0.00" - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: "0.00" - GRP_NETINC_NON_EXT1 : - type: string - description: |+ - Group Net Income / Loss From Extraordinary and Non-Operating Items - Subsequent Years: - GRP_NETINC_NON_EXT2 - GRP_NETINC_NON_EXT3 - GRP_NETINC_NON_EXT4 - GRP_NETINC_NON_EXT5 - example: "0.00" - GRP_PL_AFT_TAX_EXT1: - type: string - description: |+ - Group Profit / Loss After Tax and Extraordinary items - Subsequent Years: - GRP_ PL_AFT_TAX_EXT2 - GRP_ PL_AFT_TAX_EXT3 - GRP_ PL_AFT_TAX_EXT4 - GRP_ PL_AFT_TAX_EXT5 - example: "0.00" - GRP_TOT_ASSETS1: - type: string - description: |+ - Group Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: "0.00" - GRP_TA_CURRENT1 : - type: string - description: |+ - Group Total Assets – Current - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT5 - example: "0.00" - GRP_TA_FIXED1 : - type: string - description: |+ - Group Total Assets – Fixed and Others - Subsequent Years: - GRP_TA_FIXED2 - GRP_TA_FIXED3 - GRP_TA_FIXED4 - GRP_TA_FIXED5 - example: "0.00" - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: "0.00" - GRP_TL_CURRENT1 : - type: string - description: |+ - Group Total Liabilities - Current - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: "0.00" - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group Total Liabilities – Non-Current & Long Term - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: "0.00" - GRP_SH_FUNDS1 : - type: string - description: |+ - Group Shareholder’s Fund - Subsequent Years: - GRP_ SH_FUNDS2 - GRP_ SH_FUNDS3 - GRP_ SH_FUNDS4 - GRP_ SH_FUNDS5 - example: "0.00" - GRP_SH_PAIDUP_CAPITAL1 : - type: string - description: |+ - Group Shareholder’s Fund – Paid Up Capital - Subsequent Years: - GRP_SH_PAIDUP_CAPITAL2 - GRP_SH_PAIDUP_CAPITAL3 - GRP_SH_PAIDUP_CAPITAL4 - GRP_SH_PAIDUP_CAPITAL5 - example: "0.00" - GRP_SH_RESERVES1: - type: string - description: |+ - Group Shareholder’s Fund - Reserves - Subsequent Years: - GRP_SH_RESERVES2 - GRP_SH_RESERVES3 - GRP_SH_RESERVES4 - GRP_SH_RESERVES5 - example: "0.00" - GRP_SH_ACCUM_LOSS1 : - type: string - description: |+ - Group Shareholder’s Fund – Accumulated Loss - Subsequent Years: - GRP_SH_ACCUM_LOSS2 - GRP_SH_ACCUM_LOSS3 - GRP_SH_ACCUM_LOSS4 - GRP_SH_ACCUM_LOSS5 - example: "0.00" - GRP_INDICATOR1 : - type: string - description: |+ - Company Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: "B" - XBRL_DTL: - type: object - description: |+ - XBRL filed after 1 Nov 2007 with following children: - XBRL_YR1_CURR - REVENUE1 - PL_BEF_TAX1 - PL_AFT_TAX1 - TOT_ASSETS1 - TA_CURRENT1 - TA_NON_CURRENT1 - TOT_LIABILITIES1 - TL_CURRENT1 - TL_NON_CURRENT1 - TOT_EQUITY1 - EQ_SH_CAPITAL1 - EQ_RESERVES1 - EQ_RETAINED_EARN1 - GRP_REVENUE1 - GRP_PL_BEF_TAX1 - GRP_PL_AFT_TAX1 - GRP_TOT_ASSETS1 - GRP_TA_CURRENT1 - GRP_TA_NON_CURRENT1 - GRP_TOT_LIABILITIES1 - GRP_TL_CURRENT1 - GRP_TL_NON_CURRENT1 - GRP_TOT_EQUITY1 - GRP_SH_CAPITAL1 - GRP_RESERVES1 - GRP_RETAINED_EARN1 - GRP_INDICATOR1 - - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of XBRL data displayed in the report. - example: - XBRL_DTL: - XBRL_YR1_CURR: "(SGD)" - XBRL_YR2_CURR: "(SGD)" - REVENUE1: '10877254.00' - REVENUE2: '9982533.00' - PL_BEF_TAX1: '1121483.00' - PL_BEF_TAX2: '262632.00' - PL_AFT_TAX1: '1347380.00' - PL_AFT_TAX2: '262632.00' - TOT_ASSETS1: '6562990.00' - TOT_ASSETS2: '5424551.00' - TA_CURRENT1: '6283449.00' - TA_CURRENT2: '4948821.00' - TA_NON_CURRENT1: '279541.00' - TA_NON_CURRENT2: '475730.00' - TOT_LIABILITIES1: '8434195.00' - TOT_LIABILITIES2: '8643136.00' - TL_CURRENT1: '8434195.00' - TL_CURRENT2: '7933013.00' - TL_NON_CURRENT1: '0.00' - TL_NON_CURRENT2: '710123.00' - TOT_EQUITY1: "-1871205.00" - TOT_EQUITY2: "-3218585.00" - EQ_SH_CAPITAL1: '2000000.00' - EQ_SH_CAPITAL2: '2000000.00' - EQ_RESERVES1: '0.00' - EQ_RESERVES2: '0.00' - EQ_RETAINED_EARN1: "-3,871,205.00" - EQ_RETAINED_EARN2: "-5,218,585.00" - GRP_REVENUE1: '0.00' - GRP_REVENUE2: '0.00' - GRP_PL_BEF_TAX1: '0.00' - GRP_PL_BEF_TAX2: '0.00' - GRP_PL_AFT_TAX1: '0.00' - GRP_PL_AFT_TAX2: '0.00' - GRP_TOT_ASSETS1: '0.00' - GRP_TOT_ASSETS2: '0.00' - GRP_TA_CURRENT1: '0.00' - GRP_TA_CURRENT2: '0.00' - GRP_TA_NON_CURRENT1: '0.00' - GRP_TA_NON_CURRENT2: '0.00' - GRP_TOT_LIABILITIES1: '0.00' - GRP_TOT_LIABILITIES2: '0.00' - GRP_TL_CURRENT1: '0.00' - GRP_TL_CURRENT2: '0.00' - GRP_TL_NON_CURRENT1: '0.00' - GRP_TL_NON_CURRENT2: '0.00' - GRP_TOT_EQUITY1: '0.00' - GRP_TOT_EQUITY2: '0.00' - GRP_SH_CAPITAL1: '0.00' - GRP_SH_CAPITAL2: '0.00' - GRP_RESERVES1: '0.00' - GRP_RESERVES2: '0.00' - GRP_RETAINED_EARN1: '0.00' - GRP_RETAINED_EARN2: '0.00' - GRP_INDICATOR1: B - GRP_INDICATOR2: B - GRP_INDICATOR3: B - properties: - XBRL_YR1_CURR: - type: string - description: |+ - FH After Year 1 Currency - Subsequent Years: - XBRL_YR2_CURR - XBRL_YR3_CURR - XBRL_YR4_CURR - XBRL_YR5_CURR - example: "(SGD)" - REVENUE1 : - type: string - description: |+ - Revenue Amount - Subsequent Years: - REVENUE2 - REVENUE3 - REVENUE4 - REVENUE5 - example: "10877254.00" - PL_BEF_TAX1 : - type: string - description: |+ - Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - PL_BEF_TAX2 - PL_BEF_TAX3 - PL_BEF_TAX4 - PL_BEF_TAX5 - example: "1121483.00" - PL_AFT_TAX1 : - type: string - description: |+ - Profit / Loss After Tax from Continuing Operations - Subsequent Years: - PL_AFT_TAX2 - PL_AFT_TAX3 - PL_AFT_TAX4 - PL_AFT_TAX5 - example: "1347380.00" - TOT_ASSETS1 : - type: string - description: |+ - Total Assets - Subsequent Years: - TOT_ASSETS2 - TOT_ASSETS3 - TOT_ASSETS4 - TOT_ASSETS5 - example: "6562990.00" - TA_CURRENT1 : - type: string - description: |+ - Total Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_CURRENT2 - TA_CURRENT3 - TA_CURRENT4 - TA_CURRENT5 - example: "6283449.00" - TA_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Assets (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TA_NON_CURRENT2 - TA_NON_CURRENT3 - TA_NON_CURRENT4 - TA_NON_CURRENT5 - example: "279541.00" - TOT_LIABILITIES1 : - type: string - description: |+ - Total Liabilities - Subsequent Years: - TOT_LIABILITIES2 - TOT_LIABILITIES3 - TOT_LIABILITIES4 - TOT_LIABILITIES5 - example: "8434195.00" - TL_CURRENT1 : - type: string - description: |+ - Total Current Liabilities (Only for Balance Sheet by Current / Non-Current) - Subsequent Years: - TL_CURRENT2 - TL_CURRENT3 - TL_CURRENT4 - TL_CURRENT5 - example: "8434195.00" - TL_NON_CURRENT1 : - type: string - description: |+ - Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - TL_NON_CURRENT2 - TL_NON_CURRENT3 - TL_NON_CURRENT4 - TL_NON_CURRENT5 - example: "0.00" - TOT_EQUITY1 : - type: string - description: |+ - Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - TOT_EQUITY2 - TOT_EQUITY3 - TOT_EQUITY4 - TOT_EQUITY5 - example: "-1871205.00" - EQ_SH_CAPITAL1 : - type: string - description: |+ - Total Equity – Share Capital - Subsequent Years: - EQ_SH_CAPITAL2 - EQ_SH_CAPITAL3 - EQ_SH_CAPITAL4 - EQ_SH_CAPITAL5 - example: "2000000.00" - EQ_RESERVES1 : - type: string - description: |+ - Total Equity – Other Reserves - Subsequent Years: - EQ_RESERVES2 - EQ_RESERVES3 - EQ_RESERVES4 - EQ_RESERVES5 - example: "0.00" - EQ_RETAINED_EARN1 : - type: string - description: |+ - Total Equity – Retained Earnings (Accumulated Loss) - Subsequent Years: - EQ_RETAINED_EARN2 - EQ_RETAINED_EARN3 - EQ_RETAINED_EARN4 - EQ_RETAINED_EARN5 - example: "-3,871,205.00" - GRP_REVENUE1 : - type: string - description: |+ - Group’s Revenue Amount - Subsequent Years: - GRP_REVENUE2 - GRP_REVENUE3 - GRP_REVENUE4 - GRP_REVENUE5 - example: "0.00" - GRP_PL_BEF_TAX1 : - type: string - description: |+ - Group Profit / Loss Before Tax from Continuing Operations - Subsequent Years: - GRP_PL_BEF_TAX2 - GRP_PL_BEF_TAX3 - GRP_PL_BEF_TAX4 - GRP_PL_BEF_TAX5 - example: "0.00" - GRP_PL_AFT_TAX1 : - type: string - description: |+ - Group Profit / Loss After Tax from Continuing Operations - Subsequent Years: - GRP_PL_AFT_TAX2 - GRP_PL_AFT_TAX3 - GRP_PL_AFT_TAX4 - GRP_PL_AFT_TAX5 - example: "0.00" - GRP_TOT_ASSETS1 : - type: string - description: |+ - Group’s Total Assets - Subsequent Years: - GRP_TOT_ASSETS2 - GRP_TOT_ASSETS3 - GRP_TOT_ASSETS4 - GRP_TOT_ASSETS5 - example: "0.00" - GRP_TA_CURRENT1 : - type: string - description: |+ - Group’s Total Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_CURRENT2 - GRP_TA_CURRENT3 - GRP_TA_CURRENT4 - GRP_TA_CURRENT4 - example: "0.00" - GRP_TA_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Assets (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TA_NON_CURRENT2 - GRP_TA_NON_CURRENT3 - GRP_TA_NON_CURRENT4 - GRP_TA_NON_CURRENT4 - example: "0.00" - GRP_TOT_LIABILITIES1 : - type: string - description: |+ - Group’s Total Liabilities - Subsequent Years: - GRP_TOT_LIABILITIES2 - GRP_TOT_LIABILITIES3 - GRP_TOT_LIABILITIES4 - GRP_TOT_LIABILITIES5 - example: "0.00" - GRP_TL_CURRENT1 : - type: string - description: |+ - Group’s Total Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_CURRENT2 - GRP_TL_CURRENT3 - GRP_TL_CURRENT4 - GRP_TL_CURRENT5 - example: "0.00" - GRP_TL_NON_CURRENT1 : - type: string - description: |+ - Group’s Total Non-Current Liabilities (Only for Balance Sheet by Current / Non- Current) - Subsequent Years: - GRP_TL_NON_CURRENT2 - GRP_TL_NON_CURRENT3 - GRP_TL_NON_CURRENT4 - GRP_TL_NON_CURRENT5 - example: "0.00" - GRP_TOT_EQUITY1 : - type: string - description: |+ - Group’s Total Equity (inclusive of Equity Attributable to Equity Holders of Parent and Minority Interest) - Subsequent Years: - GRP_TOT_EQUITY2 - GRP_TOT_EQUITY3 - GRP_TOT_EQUITY4 - GRP_TOT_EQUITY5 - example: "0.00" - GRP_SH_CAPITAL1 : - type: string - description: |+ - Group’s Share Capital - Subsequent Years: - GRP_SH_CAPITAL2 - GRP_SH_CAPITAL3 - GRP_SH_CAPITAL4 - GRP_SH_CAPITAL5 - example: "0.00" - GRP_RESERVES1 : - type: string - description: |+ - Group’s Other Reserves - Subsequent Years: - GRP_RESERVES2 - GRP_RESERVES3 - GRP_RESERVES4 - GRP_RESERVES5 - example: "0.00" - GRP_RETAINED_EARN1 : - type: string - description: |+ - Group’s – Retained Earnings (Accumulated Loss) - Subsequent Years: - GRP_RETAINED_EARN2 - GRP_RETAINED_EARN3 - GRP_RETAINED_EARN4 - GRP_RETAINED_EARN5 - example: "0.00" - GRP_INDICATOR1 : - type: string - description: |+ - XBRL Financial Highlights Group Indicator - Subsequent Years: - GRP_INDICATOR2 - GRP_INDICATOR3 - GRP_INDICATOR4 - GRP_INDICATOR5 - example: "B" - FH_RATIOS_DTL: - type: object - description: |+ - Accounting Ratios Details with following children: - RATE_NET_PROFIT1 - RET_INVESTMENT1 - RET_SH_FUNDS1 - TOT_ASSETS_TURNOVER1 - CURR_CAPITAL_RATIO1 - PROPRIETARY_RATIO1 - TOTAL_DEBT_RATIO1 - Note: Each tag will consist of maximum 5 sets with suffix 1 to 5. But it is optional, depending on how many years of FH & XBRL data displayed in the report. - example: - FH_RATIOS_DTL: - RATE_NET_PROFIT1: '12.39' - RATE_NET_PROFIT2: '2.63' - RATE_NET_PROFIT3: '0.00' - RATE_NET_PROFIT4: '0.00' - RATE_NET_PROFIT5: '0.00' - RET_INVESTMENT1: '20.53' - RET_INVESTMENT2: '4.84' - RET_INVESTMENT3: '0.00' - RET_INVESTMENT4: '0.00' - RET_INVESTMENT5: '0.00' - RET_SH_FUNDS1: "-72.01" - RET_SH_FUNDS2: "-8.16" - RET_SH_FUNDS3: "-0.00" - RET_SH_FUNDS4: "-0.00" - RET_SH_FUNDS5: "-0.00" - TOT_ASSETS_TURNOVER1: '1.66' - TOT_ASSETS_TURNOVER2: '1.84' - TOT_ASSETS_TURNOVER3: '2.42' - TOT_ASSETS_TURNOVER4: '2.54' - TOT_ASSETS_TURNOVER5: '1.78' - CURR_CAPITAL_RATIO1: '0.74' - CURR_CAPITAL_RATIO2: '0.62' - CURR_CAPITAL_RATIO3: '0.50' - CURR_CAPITAL_RATIO4: '0.46' - CURR_CAPITAL_RATIO5: '0.55' - PROPRIETARY_RATIO1: "-28.51" - PROPRIETARY_RATIO2: "-59.33" - PROPRIETARY_RATIO3: "-89.51" - PROPRIETARY_RATIO4: "-101.59" - PROPRIETARY_RATIO5: "-75.15" - TOTAL_DEBT_RATIO1: '128.51' - TOTAL_DEBT_RATIO2: '168.27' - TOTAL_DEBT_RATIO3: '189.51' - TOTAL_DEBT_RATIO4: '201.59' - TOTAL_DEBT_RATIO5: '175.15' - properties: - RATE_NET_PROFIT1 : - type: string - description: |+ - Rate of Net Profit On Sales (%) - Subsequent Years: - RATE_NET_PROFIT2 - RATE_NET_PROFIT3 - RATE_NET_PROFIT4 - RATE_NET_PROFIT5 - example: "12.39" - RET_INVESTMENT1 : - type: string - description: |+ - Return of Investment (%) - Subsequent Years: - RET_INVESTMENT2 - RET_INVESTMENT3 - RET_INVESTMENT4 - RET_INVESTMENT5 - example: "20.53" - RET_SH_FUNDS1 : - type: string - description: |+ - Return of Shareholder’s Funds (%) - Subsequent Years: - RET_SH_FUNDS2 - RET_SH_FUNDS3 - RET_SH_FUNDS4 - RET_SH_FUNDS4 - example: "-72.01" - TOT_ASSETS_TURNOVER1 : - type: string - description: |+ - Total Assets Turnover (%) - Subsequent Years: - TOT_ASSETS_TURNOVER2 - TOT_ASSETS_TURNOVER3 - TOT_ASSETS_TURNOVER4 - TOT_ASSETS_TURNOVER5 - example: "1.66" - CURR_CAPITAL_RATIO1: - type: string - description: |+ - Current / Working Capital Ratio (%) - Subsequent Years: - CURR_CAPITAL_RATIO2 - CURR_CAPITAL_RATIO3 - CURR_CAPITAL_RATIO4 - CURR_CAPITAL_RATIO5 - example: "0.74" - PROPRIETARY_RATIO1: - type: string - description: |+ - Proprietary Ratio (%) 1 - Subsequent Years: - PROPRIETARY_RATIO2 - PROPRIETARY_RATIO3 - PROPRIETARY_RATIO4 - PROPRIETARY_RATIO5 - example: "-28.51" - TOTAL_DEBT_RATIO1 : - type: string - description: |+ - Total Debt to Equity Ratio (%) 1 - Subsequent Years: - TOTAL_DEBT_RATIO2 - TOTAL_DEBT_RATIO3 - TOTAL_DEBT_RATIO4 - TOTAL_DEBT_RATIO5 - example: "128.51" - LIST_FH_CHART_INFO : - type: array - example: - LIST_FH_CHART_INFO: - FH_CHART_INFO: - PROFIT_LOSS: '1121483.0' - REVENUE: '10877254' - YEAR: '2008' - description: |+ - List of chart info with following children: - [FH_CHART_INFO] - items: - properties: - FH_CHART_INFO: - type: object - description: |+ - Chart Info info with following children: - YEAR - REVENUE - PROFIT_LOSS - properties: - PROFIT_LOSS: - type: string - example: "1121483.0" - description: Profit / Loss Before Tax of the year - REVENUE: - type: string - example: "10877254" - description: Revenue Amount of the year - YEAR: - type: string - example: "2008" - description: Financial Year - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: - total_items: - type: integer - format: int32 - example: 1 - description: Number of subjects being enquired relating to the search. - default: false - subject_idno: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - subject_name: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects Name as captured in DDP - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From d4006b939f413b8737789ff15a4544007e92d106 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:09:00 +0530 Subject: [PATCH 4683/5916] Delete d&b_business_check_plus_sg_v1.yaml --- data/d&b_business_check_plus_sg_v1.yaml | 2502 ----------------------- 1 file changed, 2502 deletions(-) delete mode 100644 data/d&b_business_check_plus_sg_v1.yaml diff --git a/data/d&b_business_check_plus_sg_v1.yaml b/data/d&b_business_check_plus_sg_v1.yaml deleted file mode 100644 index a9df6c29f..000000000 --- a/data/d&b_business_check_plus_sg_v1.yaml +++ /dev/null @@ -1,2502 +0,0 @@ -openapi: 3.0.1 -info: - title: D&B Business Check Plus (SG) - description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace (winding up records) of a company which includes the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships. - - Aside from being able to protect your business via litigation checks to safeguard against reputational risk by avoiding companies potentially involved in financial crimes, the information from this microservice can serve as a quick solution for analysts or lawyers in a company whom are looking to draft documents related to cooperate finance or legal domains with one quick search. - version: '1.0.0' - x-subscribelink: d&b_business_check_plus_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides key business information, litigation information and and Winding Up Trace of a company. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/sbcp/v1/getdata: - post: - tags: - - v1.0.0 - summary: Adds a new user - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - REPORT: - META_INFO: - SERVICE: - "@type": String - "#text": BCP - SYSTEM_ID: - "@type": String - "#text": DDP - CREATION_DATE: - "@type": Date - "#text": Wed Apr 08 11:37:51 MYT 2009 - USER_ID: - "@type": String - CLASS: - "@type": String - "#text": class com.technodex.ddp.xmlbean.MetaBean - REGISTRY_DETAIL: - "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean - RENEWAL_DATE: - "@type": String - "#text": 23/12/2008 - ADDRESS1: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01 - ADDRESS2: - "@type": String - "#text": KEPPEL BAY TOWER - ADDRESS3: - "@type": String - "#text": '098632' - ADDRESS4: - "@type": String - "#text": SINGAPORE - COMP_TYPE_CODE: - "@type": String - "#text": CP - REG_DATE: - "@type": String - "#text": 14/10/1974 - REG_ACTIVITY1: - "@type": String - "#text": OTHER INVESTMENT HOLDING COMPANIES - REG_ACTIVITY2: - "@type": String - "#text": SHIP MANAGEMENT SERVICES - ACC_DATE: - "@type": String - "#text": 31/12/2007 - STATUS_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - NAME_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - EXPIRY_DATE: - "@type": String - "#text": 25/10/2009 - COMP_TYPE: - "@type": String - "#text": LIMITED PRIVATE COMPANY - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - COMP_STATUS: - "@type": String - "#text": Live Company - REG_ACTIVITY_DESC1: - "@type": String - "#text": "-" - REG_ACTIVITY_DESC2: - "@type": String - "#text": "-" - AUDITOR: - "@type": String - "#text": "-" - AUDITOR_APPMT_DATE: - "@type": String - "#text": 13/06/1990 - LAST_AR_DATE: - "@type": String - "#text": 30/06/2008 - LAST_AGM_DATE: - "@type": String - "#text": 11/06/2008 - COUNTRY_INCORP: - "@type": String - "#text": SINGAPORE - REQ_SEARCH_INFO: - "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean - COMP_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REG_NO: - "@type": String - "#text": 197401835M - REQ_DATE: - "@type": Date - "#text": '2009-04-08 11:36:03.611' - REQ_REG_NO: - "@type": String - "#text": 197401835M - REQ_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REQ_DATE_STR: - "@type": String - "#text": '08/04/2009 11:36:03' - EMPLOYEE_SIZE: - ELEMENTS: Employee Size - AMOUNT: '300' - LIST_BIZ_BRANCH: - "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - LIST_REG_CHARGES: - "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean - REG_CHARGES: - - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '1000.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - - CHARGE_NO: - "@type": String - "#text": '8000976' - CHARGE_DATE: - "@type": String - "#text": 21/04/1980 - CHARGEE_COMP: - "@type": String - "#text": THE DEVELOPMENT BANK OF SINGAPORE LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": All Monies - STATUS_SATISFACTION: - "@type": String - "#text": "-" - LIST_LIQUIDATOR: - LIQUIDATOR: - - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - - LIQ_NAME: ANGELA ANG - LIQ_ID: S1633336D - LIQ_POSITION: Liquidator - LIQ_COMP: KING FINANCIAL ADVISORY SERVICES - LIQ_ADDRESS1: LEVEL 17 MLC CENTRE 19029 - LIQ_ADDRESS2: MARTIN PLACE SYDNEY NSW 2000 AUSTRALIA - LIQ_APPOINTMENT_DATE: 18/02/2009 - LIST_WINDING_UP: - "@className": com.technodex.ddp.report.bean.CommercialBizWindingupBean - WINDING_UP: - CASE_CODE: - "@type": String - "#text": '40000' - CASE_YEAR: - "@type": String - "#text": '1999' - PLAINTIFF: - "@type": String - "#text": "-" - PLA_SOLICITOR_ID: - "@type": String - "#text": "-" - PLA_FILE_REF: - "@type": String - "#text": "-" - COURT_CODE: - "@type": String - "#text": CWU - CASE_TYPE: - "@type": String - "#text": COMPANY WINDING UP PETITION - CURRENCY1: - "@type": String - "#text": SGD - AMOUNT1: - "@type": String - "#text": '41,424.52' - CURRENCY2: - "@type": String - "#text": MYR - AMOUNT2: - "@type": String - "#text": '0.00' - CURRENCY3: - "@type": String - "#text": "-" - AMOUNT3: - "@type": String - "#text": '0.00' - BANKRUPTCY_ACT: - "@type": String - "#text": Petition for Winding Up - HEARING_DATE: - "@type": String - "#text": 15/12/2007 - ACTION_DATE: - "@type": String - "#text": 11/05/2007 - SUBJECT_NAME: - "@type": String - "#text": PROACTIVE BUILDERS - PLA_SOLICITOR: - "@type": String - "#text": "-" - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - LIST_LITIGATION: - "@className": com.technodex.ddp.report.bean.CommercialBizLitigationBean - LITIGATION: - SUBJECT_NAME: - "@type": String - "#text": SOON SOON SEAFOOD - NATURE_OF_CLAIM: - "@type": String - "#text": CONTRACT 3 - STATUS_DATE: - "@type": String - "#text": 01/05/2008 - CASE_NO: - "@type": String - "#text": MC 40001 / 1999 - DOC_REMARKS: - "@type": String - "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 - CURRENCY1: - "@type": String - "#text": SGD - CURRENCY2: - "@type": String - "#text": MYR - CURRENCY3: - "@type": String - "#text": USD - CURRENCY4: - "@type": String - "#text": "-" - CURRENCY5: - "@type": String - "#text": "-" - DEF_SOLICITOR: - "@type": String - "#text": SOL2 - DEF_SOLICITOR_ID: - "@type": String - "#text": '20000000' - DEF_LAW_FIRM: - "@type": String - "#text": NAME2 - DEF_FILE_REF: - "@type": String - "#text": FILE2 - DATE_OF_WRIT: - "@type": String - "#text": 01/01/2008 - STATUS: - "@type": String - "#text": CONCLUDED 3 - AMOUNT1: - "@type": String - "#text": '100.00' - AMOUNT2: - "@type": String - "#text": '200.00' - AMOUNT3: - "@type": String - "#text": '0.00' - AMOUNT4: - "@type": String - "#text": '400.00' - AMOUNT5: - "@type": String - "#text": '0.00' - PLAINTIFF: - "@type": String - "#text": MC 40001 - PLA_SOLICITOR: - "@type": String - "#text": SOL2 - PLA_SOLICITOR_ID: - "@type": String - "#text": '20000000' - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - PLA_FILE_REF: - "@type": String - "#text": FILE2 - PLA_ID: - "@type": String - "#text": S0739038F - PLA_STATUS: - "@type": String - "#text": SETTLED - BEFORE SET DOWN - PLA_STATUS_DATE: - "@type": String - "#text": 17/10/2016 - LIST_SHARE_INTEREST_COMP: - "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean - SHARE_INTEREST_COMP: - - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '436' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE: - "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean - NAME_CHANGE: - - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - - PREV_NAME: - "@type": String - "#text": SOON-SOON FISH-HEAD CURRY - EFFECT_DATE: - "@type": String - "#text": 10/06/1991 00:00:00 - LIST_SHAREHOLDER: - "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean - SHAREHOLDER: - - ADDRESS: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01; KEPPEL BAY TOWER; 098632,SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - - ADDRESS: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID: - "@type": String - "#text": 196500115G - NO_OF_SHARE: - "@type": String - "#text": '100,000' - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Ordinary - SHAREHOLDER_NAME: - "@type": String - "#text": KEPPEL TELECOMMUNICATIONS & TRANSPORTATION LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - LIST_CAPITAL: - "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean - CAPITAL: - - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Preference - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '14,600,511.00' - NO_OF_SHARES: - "@type": String - "#text": '657' - LIST_OFFICER_OWNER: - "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean - OFFICER_OWNER: - - ADDRESS: - "@type": String - "#text": 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742,SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - - ADDRESS: - "@type": String - "#text": 52 HUME AVENUE, 05 - 10 ; SUMMERHILL; 596230, SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S2504825C - PA_REG_NO: - "@type": String - "#text": '00091' - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": HENRY GOH - CHANGE_ADDR_DATE: - "@type": String - "#text": 30/10/2003 - APPMT_DATE: - "@type": String - "#text": 07/03/2006 - NATIONALITY: - "@type": String - "#text": SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT: - SALES_REVENUE_AMOUNT: - - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - - ELEMENTS: Sales Revenue Amount - YEAR: '2007' - CURRENCY: SGD - AMOUNT: '28000.00' - - ELEMENTS: Sales Revenue Amount - YEAR: '2006' - CURRENCY: SGD - AMOUNT: '27,000.00' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [REGISTRY_DETAIL] - [REQ_SEARCH_INFO] - [EMPLOYEE_SIZE] - [LIST_BIZ_BRANCH] - [LIST_REG_CHARGES] - [LIST_LIQUIDATOR] - [LIST_WINDING_UP] - [LIST_LITIGATION] - [LIST_SHARE_INTEREST_COMP] - [LIST_NAME_CHANGE] - [LIST_SHAREHOLDER] - [LIST_CAPITAL] - [LIST_OFFICER_OWNER] - [LIST_SALES_REVENUE_AMOUNT] - properties: - META_INFO: - type: object - example: - META_INFO: - SERVICE: - "@type": String - "#text": BCP - SYSTEM_ID: - "@type": String - "#text": DDP - CREATION_DATE: - "@type": Date - "#text": Wed Apr 08 11:37:51 MYT 2009 - USER_ID: - "@type": String - CLASS: - "@type": String - "#text": class com.technodex.ddp.xmlbean.MetaBean - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - CLASS - properties: - SERVICE: - type: string - description: Report requested - example: "BCP" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: datetime - description: Report request date - example: Wed Apr 08 11:37:51 MYT 2009 - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: N/A - CLASS: - type: string - description: Class location for metabean. It is for (For internal use) - example: N/A - REGISTRY_DETAIL : - type: object - example: - REGISTRY_DETAIL: - "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean - RENEWAL_DATE: - "@type": String - "#text": 23/12/2008 - ADDRESS1: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01 - ADDRESS2: - "@type": String - "#text": KEPPEL BAY TOWER - ADDRESS3: - "@type": String - "#text": '098632' - ADDRESS4: - "@type": String - "#text": SINGAPORE - COMP_TYPE_CODE: - "@type": String - "#text": CP - REG_DATE: - "@type": String - "#text": 14/10/1974 - REG_ACTIVITY1: - "@type": String - "#text": OTHER INVESTMENT HOLDING COMPANIES - REG_ACTIVITY2: - "@type": String - "#text": SHIP MANAGEMENT SERVICES - ACC_DATE: - "@type": String - "#text": 31/12/2007 - STATUS_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - NAME_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - EXPIRY_DATE: - "@type": String - "#text": 25/10/2009 - COMP_TYPE: - "@type": String - "#text": LIMITED PRIVATE COMPANY - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - COMP_STATUS: - "@type": String - "#text": Live Company - REG_ACTIVITY_DESC1: - "@type": String - "#text": "-" - REG_ACTIVITY_DESC2: - "@type": String - "#text": "-" - AUDITOR: - "@type": String - "#text": "-" - AUDITOR_APPMT_DATE: - "@type": String - "#text": 13/06/1990 - LAST_AR_DATE: - "@type": String - "#text": 30/06/2008 - LAST_AGM_DATE: - "@type": String - "#text": 11/06/2008 - COUNTRY_INCORP: - "@type": String - "#text": SINGAPORE - description: |+ - Registry Details with following children: - RENEWAL_DATE - ADDRESS1 - ADDRESS2 - ADDRESS3 - ADDRESS4 - COMP_TYPE_CODE - REG_DATE - REG_ACTIVITY1 - REG_ACTIVITY2 - ACC_DATE - STATUS_EFFECT_DATE - NAME_EFFECT_DATE - EXPIRY_DATE - COMP_TYPE - CHANGE_ADDR_DATE - COMP_STATUS - REG_ACTIVITY_DESC1 - REG_ACTIVITY_DESC2 - AUDITOR - AUDITOR_APPMT_DATE - LAST_AR_DATE - LAST_AGM_DATE - COUNTRY_INCORP - properties: - RENEWAL_DATE: - type: string - description: Renewal Date - example: "23/12/2008" - ADDRESS1: - type: string - description: Address Line 1 - example: "1 HARBOURFRONT AVENUE , 18 - 01" - ADDRESS2: - type: string - description: Address Line 2 - example: "KEPPEL BAY TOWER" - ADDRESS3: - type: string - description: Address Line 3 - example: "098632" - ADDRESS4: - type: string - description: Address Line 4 - example: "SINGAPORE" - COMP_TYPE_CODE: - type: string - example: CP - description: |+ - Report Code. Available values are: - 1. CP Corporate - 2. SP Sole Proprietor - REG_DATE: - type: string - description: Registration Date - example: "14/10/1974" - REG_ACTIVITY1: - type: string - description: Registered Activities 1 - example: "OTHER INVESTMENT HOLDING COMPANIES" - REG_ACTIVITY2: - type: string - description: Registered Activities 2 - example: "SHIP MANAGEMENT SERVICES" - ACC_DATE: - type: string - description: Account Date - example: "31/12/2007" - STATUS_EFFECT_DATE: - type: string - description: Status Effective Date - example: "14/10/1974" - NAME_EFFECT_DATE: - type: string - description: Name Effective Date - example: "14/10/1974" - EXPIRY_DATE: - type: string - description: Expiry Date - example: "25/10/2009" - COMP_TYPE: - type: string - description: Company Type - example: "LIMITED PRIVATE COMPANY" - CHANGE_ADDR_DATE: - type: string - description: Change Address Date - example: "09/05/2003" - COMP_STATUS: - type: string - description: Company Status - example: "Live Company" - REG_ACTIVITY_DESC1: - type: string - description: Registered Activities Description - example: - REG_ACTIVITY_DESC2: - type: string - description: Registered Activities Description - example: - AUDITOR: - type: string - description: Auditor Name - example: - AUDITOR_APPMT_DATE: - type: string - description: Auditor Appointment Date - example: "13/06/1990" - LAST_AR_DATE: - type: string - description: Date of Last AR - example: "30/06/2008" - LAST_AGM_DATE: - type: string - description: Date of Last AGM - example: "11/06/2008" - COUNTRY_INCORP: - type: string - description: Country Incorporated - example: "SINGAPORE" - REQ_SEARCH_INFO : - type: object - example: - REQ_SEARCH_INFO: - "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean - COMP_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REG_NO: - "@type": String - "#text": 197401835M - REQ_DATE: - "@type": Date - "#text": '2009-04-08 11:36:03.611' - REQ_REG_NO: - "@type": String - "#text": 197401835M - REQ_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REQ_DATE_STR: - "@type": String - "#text": '08/04/2009 11:36:03' - description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REG_NO: - type: string - description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "197401835M" - REQ_DATE: - type: datetime - description: Report Requested Date - example: 2009-04-08 11:36:03.611 - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197401835M" - REQ_NAME: - type: string - description: Request Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REQ_DATE_STR: - type: string - description: Request Date String - example: "08/04/2009 11:36:03" - EMPLOYEE_SIZE : - type: object - description: |+ - Employee Size details with following children: - ELEMENTS - AMOUNT - example: - EMPLOYEE_SIZE: - ELEMENTS: Employee Size - AMOUNT: '300' - properties: - ELEMENTS: - type: string - description: Description - example: "Employee Size" - AMOUNT: - type: integer - description: Number of employees - example: 300 - LIST_BIZ_BRANCH : - type: array - description: |+ - List of Business Branches with following children: - [BIZ_BRANCH] - example: - LIST_BIZ_BRANCH: - "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - items: - properties: - BIZ_BRANCH : - type: object - description: |+ - Business Branches with following children: - ADDR_BUILDING - ADDR_POSTCODE - ADDR_ADDRESS1 - example: - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - properties: - ADDR_BUILDING: - type: string - description: Building Name - example: - ADDR_POSTCODE: - type: string - description: Postcode - example: 289848 - ADDR_ADDRESS1: - type: string - description: Address - example: 251A ARCADIA ROAD - LIST_REG_CHARGES: - type: array - description: |+ - List of Registered Charges with following children: - [REG_CHARGES] - example: - LIST_REG_CHARGES: - "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean - REG_CHARGES: - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '1000.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - items: - properties: - REG_CHARGES : - type: object - description: |+ - Registered Charges details with following children: - CHARGE_NO - CHARGE_DATE - CHARGEE_COMP - CURRENCY - AMT_SECURED - STATUS_SATISFACTION - example: - REG_CHARGES: - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '1000.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - properties: - CHARGE_NO : - type: string - description: Charge No. - example: 8205117 - CHARGE_DATE: - type: string - description: Charge Date - example: 26/11/1982 - CHARGEE_COMP: - type: string - description: Charges Company - example: UNITED OVERSEAS BANK LIMITED - CURRENCY: - type: string - description: Currency - example: - AMT_SECURED: - type: string - description: Amount Secured - example: 1000.00 - STATUS_SATISFACTION: - type: string - description: Status of Satisfaction - example: - LIST_LIQUIDATOR: - type: array - description: |+ - List of Liquidator / Receiver / Judicial Manager with following children: - [LIQUIDATOR] - example: - LIST_LIQUIDATOR: - LIQUIDATOR: - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - items: - properties: - LIQUIDATOR : - type: object - description: |+ - Liquidator details with following children: - LIQ_POSITION - LIQ_ID - LIQ_NAME - LIQ_COMP - LIQ_ADDRESS1 - LIQ_ADDRESS2 - LIQ_ADDRESS3 - LIQ_ADDRESS4 - LIQ_APPOINTMENT_DATE - example: - LIQUIDATOR: - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - properties: - LIQ_POSITION: - type: string - description: Liquidator / Receiver / Judicial Manager Position - example: Liquidator - LIQ_ID: - type: string - description: Liquidator / Receiver / Judicial Manager ID - example: S1676216D - LIQ_NAME : - type: string - description: Liquidator / Receiver / Judicial Manager Name - example: ABUTHAHIR ABDUL GAFOOR - LIQ_COMP: - type: string - description: Liquidator / Receiver / Judicial Manager Company Name - example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: - type: string - description: Liquidator / Receiver / Judicial Manager Address 1 - example: 1 RAFFLES PLACE - LIQ_ADDRESS2: - type: string - description: Liquidator / Receiver / Judicial Manager Address 2 - example: #20-01 - LIQ_ADDRESS3: - type: string - description: Liquidator / Receiver / Judicial Manager Address 3 - example: OUB CENTRE - LIQ_ADDRESS4: - type: string - description: Liquidator / Receiver / Judicial Manager Address 4 - example: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: - type: string - description: Liquidator / Receiver / Judicial Manager Appointment Date - example: 30/03/2009 - LIST_WINDING_UP : - type: array - description: |+ - List of Winding Up with following children: - [WINDING_UP] - example: - LIST_WINDING_UP: - "@className": com.technodex.ddp.report.bean.CommercialBizWindingupBean - WINDING_UP: - CASE_CODE: - "@type": String - "#text": '40000' - CASE_YEAR: - "@type": String - "#text": '1999' - PLAINTIFF: - "@type": String - "#text": "-" - PLA_SOLICITOR_ID: - "@type": String - "#text": "-" - PLA_FILE_REF: - "@type": String - "#text": "-" - COURT_CODE: - "@type": String - "#text": CWU - CASE_TYPE: - "@type": String - "#text": COMPANY WINDING UP PETITION - CURRENCY1: - "@type": String - "#text": SGD - AMOUNT1: - "@type": String - "#text": '41,424.52' - CURRENCY2: - "@type": String - "#text": MYR - AMOUNT2: - "@type": String - "#text": '0.00' - CURRENCY3: - "@type": String - "#text": "-" - AMOUNT3: - "@type": String - "#text": '0.00' - BANKRUPTCY_ACT: - "@type": String - "#text": Petition for Winding Up - HEARING_DATE: - "@type": String - "#text": 15/12/2007 - ACTION_DATE: - "@type": String - "#text": 11/05/2007 - SUBJECT_NAME: - "@type": String - "#text": PROACTIVE BUILDERS - PLA_SOLICITOR: - "@type": String - "#text": "-" - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - items: - properties: - WINDING_UP : - type: object - description: |+ - Winding Up details with following children: - CASE_CODE - CASE_YEAR - PLAINTIFF - PLA_SOLICITOR_ID - PLA_FILE_REF - PLA_LAW_FIRM - SUBJECT_NAME - COURT_CODE - CASE_TYPE - CURRENCY1 - AMOUNT1 - CURRENCY2 - AMOUNT2 - CURRENCY3 - AMOUNT3 - ACTION_DATE - BANKRUPTCY_ACT - HEARING_DATE - PLA_SOLICITOR - example: - WINDING_UP: - CASE_CODE: - "@type": String - "#text": '40000' - CASE_YEAR: - "@type": String - "#text": '1999' - PLAINTIFF: - "@type": String - "#text": "-" - PLA_SOLICITOR_ID: - "@type": String - "#text": "-" - PLA_FILE_REF: - "@type": String - "#text": "-" - COURT_CODE: - "@type": String - "#text": CWU - CASE_TYPE: - "@type": String - "#text": COMPANY WINDING UP PETITION - CURRENCY1: - "@type": String - "#text": SGD - AMOUNT1: - "@type": String - "#text": '41,424.52' - CURRENCY2: - "@type": String - "#text": MYR - AMOUNT2: - "@type": String - "#text": '0.00' - CURRENCY3: - "@type": String - "#text": "-" - AMOUNT3: - "@type": String - "#text": '0.00' - BANKRUPTCY_ACT: - "@type": String - "#text": Petition for Winding Up - HEARING_DATE: - "@type": String - "#text": 15/12/2007 - ACTION_DATE: - "@type": String - "#text": 11/05/2007 - SUBJECT_NAME: - "@type": String - "#text": PROACTIVE BUILDERS - PLA_SOLICITOR: - "@type": String - "#text": "-" - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - properties: - CASE_CODE : - type: string - description: Case Code - example: 40000 - CASE_YEAR : - type: string - description: Case Year - example: 1999 - PLAINTIFF : - type: string - description: Plaintiff Name - example: - PLA_SOLICITOR_ID : - type: string - description: Pla. Solicitor ID - example: - PLA_FILE_REF : - type: string - description: Pla. File Ref. - example: - PLA_LAW_FIRM : - type: string - description: Pla. Law Firm - example: NAME2 - SUBJECT_NAME : - type: string - description: Subject Name - example: PROACTIVE BUILDERS - COURT_CODE : - type: string - description: Court Code - example: CWU - CASE_TYPE : - type: string - description: Case Type - example: COMPANY WINDING UP PETITION - CURRENCY1 : - type: string - description: Currency 1 - example: SGD - AMOUNT1 : - type: string - description: Amount 1 - example: 41,424.52 - CURRENCY2 : - type: string - description: Currency 2 - example: MYR - AMOUNT2 : - type: string - description: Amount 2 - example: 0.00 - CURRENCY3 : - type: string - description: Currency 3 - example: - AMOUNT3 : - type: string - description: Amount 3 - example: 0.00 - ACTION_DATE : - type: string - description: Action Date - example: 11/05/2007 - BANKRUPTCY_ACT : - type: string - description: Act of Bankruptcy - example: Petition for Winding Up - HEARING_DATE : - type: string - description: Hearing Date - example: 15/12/2007 - PLA_SOLICITOR : - type: string - description: Pla. Solicitor - example: - LIST_LITIGATION : - type: array - description: |+ - List of Winding Up with following children: - [LITIGATION] - example: - LIST_LITIGATION: - "@className": com.technodex.ddp.report.bean.CommercialBizLitigationBean - LITIGATION: - SUBJECT_NAME: - "@type": String - "#text": SOON SOON SEAFOOD - NATURE_OF_CLAIM: - "@type": String - "#text": CONTRACT 3 - STATUS_DATE: - "@type": String - "#text": 01/05/2008 - CASE_NO: - "@type": String - "#text": MC 40001 / 1999 - DOC_REMARKS: - "@type": String - "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 - CURRENCY1: - "@type": String - "#text": SGD - CURRENCY2: - "@type": String - "#text": MYR - CURRENCY3: - "@type": String - "#text": USD - CURRENCY4: - "@type": String - "#text": "-" - CURRENCY5: - "@type": String - "#text": "-" - DEF_SOLICITOR: - "@type": String - "#text": SOL2 - DEF_SOLICITOR_ID: - "@type": String - "#text": '20000000' - DEF_LAW_FIRM: - "@type": String - "#text": NAME2 - DEF_FILE_REF: - "@type": String - "#text": FILE2 - DATE_OF_WRIT: - "@type": String - "#text": 01/01/2008 - STATUS: - "@type": String - "#text": CONCLUDED 3 - AMOUNT1: - "@type": String - "#text": '100.00' - AMOUNT2: - "@type": String - "#text": '200.00' - AMOUNT3: - "@type": String - "#text": '0.00' - AMOUNT4: - "@type": String - "#text": '400.00' - AMOUNT5: - "@type": String - "#text": '0.00' - PLAINTIFF: - "@type": String - "#text": MC 40001 - PLA_SOLICITOR: - "@type": String - "#text": SOL2 - PLA_SOLICITOR_ID: - "@type": String - "#text": '20000000' - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - PLA_FILE_REF: - "@type": String - "#text": FILE2 - PLA_ID: - "@type": String - "#text": S0739038F - PLA_STATUS: - "@type": String - "#text": SETTLED - BEFORE SET DOWN - PLA_STATUS_DATE: - "@type": String - "#text": 17/10/2016 - items: - properties: - LITIGATION : - type: object - description: |+ - List of Winding Up with following children: - SUBJECT_NAME - NATURE_OF_CLAIM - STATUS_DATE - CASE_NO - DOC_REMARK - CURRENCY1 - CURRENCY2 - CURRENCY3 - CURRENCY4 - CURRENCY5 - DEF_SOLICITOR - DEF_SOLICITOR_ID - DEF_LAW_FIRM - DEF_FILE_REF - DATE_OF_WRIT - STATUS - AMOUNT1 - AMOUNT2 - AMOUNT3 - AMOUNT4 - AMOUNT5 - PLAINTIFF - PLA_SOLICITOR - PLA_SOLICITOR_ID - PLA_LAW_FIRM - PLA_FILE_REF - PLA_ID - PLA_STATUS - PLA_STATUS_DATE - example: - LITIGATION: - SUBJECT_NAME: - "@type": String - "#text": SOON SOON SEAFOOD - NATURE_OF_CLAIM: - "@type": String - "#text": CONTRACT 3 - STATUS_DATE: - "@type": String - "#text": 01/05/2008 - CASE_NO: - "@type": String - "#text": MC 40001 / 1999 - DOC_REMARKS: - "@type": String - "#text": NOTICE OF DISCONTINUANCE/WITHDRAWAL 3 - CURRENCY1: - "@type": String - "#text": SGD - CURRENCY2: - "@type": String - "#text": MYR - CURRENCY3: - "@type": String - "#text": USD - CURRENCY4: - "@type": String - "#text": "-" - CURRENCY5: - "@type": String - "#text": "-" - DEF_SOLICITOR: - "@type": String - "#text": SOL2 - DEF_SOLICITOR_ID: - "@type": String - "#text": '20000000' - DEF_LAW_FIRM: - "@type": String - "#text": NAME2 - DEF_FILE_REF: - "@type": String - "#text": FILE2 - DATE_OF_WRIT: - "@type": String - "#text": 01/01/2008 - STATUS: - "@type": String - "#text": CONCLUDED 3 - AMOUNT1: - "@type": String - "#text": '100.00' - AMOUNT2: - "@type": String - "#text": '200.00' - AMOUNT3: - "@type": String - "#text": '0.00' - AMOUNT4: - "@type": String - "#text": '400.00' - AMOUNT5: - "@type": String - "#text": '0.00' - PLAINTIFF: - "@type": String - "#text": MC 40001 - PLA_SOLICITOR: - "@type": String - "#text": SOL2 - PLA_SOLICITOR_ID: - "@type": String - "#text": '20000000' - PLA_LAW_FIRM: - "@type": String - "#text": NAME2 - PLA_FILE_REF: - "@type": String - "#text": FILE2 - PLA_ID: - "@type": String - "#text": S0739038F - PLA_STATUS: - "@type": String - "#text": SETTLED - BEFORE SET DOWN - PLA_STATUS_DATE: - "@type": String - "#text": 17/10/2016 - properties: - SUBJECT_NAME : - type: string - description: Subject Name - example: "SOON SOON SEAFOOD" - NATURE_OF_CLAIM : - type: string - example: "CONTRACT 3" - description: Nature of Claim - STATUS_DATE : - type: string - example: "01/05/2008" - description: Status Date - CASE_NO : - type: string - example: "MC 40001 / 1999" - description: Case No - DOC_REMARKS : - type: string - example: "NOTICE OF DISCONTINUANCE/WITHDRAWAL 3" - description: Document Remark - CURRENCY1 : - type: string - example: "SGD" - description: Currency 1 - CURRENCY2 : - type: string - example: "MYR" - description: Currency 2 - CURRENCY3 : - type: string - example: "USD" - description: Currency 3 - CURRENCY4 : - type: string - example: "-" - description: Currency 4 - CURRENCY5 : - type: string - example: "-" - description: Currency 5 - DEF_SOLICITOR : - type: string - example: "SOL2" - description: Def. Solicitor - DEF_SOLICITOR_ID : - type: string - example: "20000000" - description: Def. Solicitor ID - DEF_LAW_FIRM : - type: string - example: "NAME2" - description: Def. Law Firm - DEF_FILE_REF : - type: string - example: "FILE2" - description: Def. File Ref. - DATE_OF_WRIT : - type: string - example: "01/01/2008" - description: Date Writ - STATUS : - type: string - example: "CONCLUDED 3" - description: Status - AMOUNT1 : - type: string - example: "100.00" - description: Amount 1 - AMOUNT2 : - type: string - example: "200.00" - description: Amount 2 - AMOUNT3 : - type: string - example: "0.00" - description: Amount 3 - AMOUNT4 : - type: string - example: "400.00" - description: Amount 4 - AMOUNT5 : - type: string - example: "0.00" - description: Amount 5 - PLAINTIFF : - type: string - example: "MC 40001" - description: Plaintiff Name - PLA_SOLICITOR: - type: string - example: "SOL2" - description: plantiff Solicitor - PLA_SOLICITOR_ID: - type: string - example: "20000000" - description: plantiff Solicitor ID - PLA_LAW_FIRM : - type: string - example: "NAME2" - description: Pla. Law Firm - PLA_FILE_REF : - type: string - example: "FILE2" - description: Pla. File Ref. - PLA_ID: - type: string - example: "S0739038F" - description: Plaintiff ID - PLA_STATUS: - type: string - example: "SETTLED - BEFORE SET DOWN" - description: Plaintiff Status - PLA_STATUS_DATE : - type: string - example: "17/10/2016" - description: Plaintiff Status Date - LIST_SHARE_INTEREST_COMP : - type: array - description: |+ - List of Share Interest In Companies with following children: - [SHARE_INTEREST_COMP] - example: - LIST_SHARE_INTEREST_COMP: - "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean - SHARE_INTEREST_COMP: - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - items: - properties: - SHARE_INTEREST_COMP : - type: object - description: |+ - Share Interest In Companies details with following children: - COMP_NAME - SHARE_OWNED_UNIT - SHARE_OWNED_PERCENT - STATUS - example: - SHARE_INTEREST_COMP: - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - properties: - COMP_NAME : - type: string - description: Company Name - example: ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT : - type: string - description: Shares Owned Unit - example: 500000 - SHARE_OWNED_PERCENT : - type: string - description: Shares Owned Value (%) - example: 100.00 - STATUS : - type: string - description: Status - example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE : - type: array - description: |+ - List of Change of Company/Business Name(s) with following children: - [NAME_CHANGE] - example: - LIST_NAME_CHANGE: - "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean - NAME_CHANGE: - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - items: - properties: - NAME_CHANGE : - type: object - description: |+ - Change of Company/Business Name(s) with following children: - PREV_NAME - EFFECT_DATE - example: - NAME_CHANGE: - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - properties: - PREV_NAME : - type: string - description: Previous Name - example: HUA XI EATING HOUSE - EFFECT_DATE : - type: string - description: Effective Date - example: 25/10/1997 00:00:00 - LIST_SHAREHOLDER : - type: array - description: |+ - List of Shareholders with following children: - [SHAREHOLDER] - example: - LIST_SHAREHOLDER: - "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean - SHAREHOLDER: - ADDRESS: - "@type": String - "#text": |- - 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, - SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": |- - KEPPEL COMMUNICATIONS PTE - LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - items: - properties: - SHAREHOLDER : - type: object - description: |+ - Shareholders details with following children: - ADDRESS - COMP_ID - NO_OF_SHARE - CURRENCY - SHAREHOLDER_TYPE - SHARE_TYPE - SHAREHOLDER_NAME - CHANGE_ADDR_DATE - ADDR_TYPE - NATIONALITY - example: - SHAREHOLDER: - ADDRESS: - "@type": String - "#text": |- - 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, - SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": |- - KEPPEL COMMUNICATIONS PTE - LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - properties: - ADDRESS : - type: string - description: Address - example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID : - type: string - description: Company/ Identity No. - example: 198200406H - NO_OF_SHARE : - type: string - description: No. of Shares - example: 657 - CURRENCY : - type: string - description: Currency - example: UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE : - type: string - description: |+ - Indicator for Shareholder type. - Possible values are: - 1 Individual - 2 Company - 3 Unregistered foreign company - 4 Unregistered local company - example: 2 - SHARE_TYPE : - type: string - description: Share Type - example: Preference - SHAREHOLDER_NAME : - type: string - description: Shareholder Name - example: KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 09/05/2003 - ADDR_TYPE : - type: string - description: |+ - Address Type, indicates if it is Singapore or foreign address. - Possible values are: - S Indicates Singapore address - - Indicates foreign address - example: S - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE - LIST_CAPITAL : - type: array - description: |+ - List of Capital details with following children: - [CAPITAL] - example: - LIST_CAPITAL: - "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean - CAPITAL: - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - items: - properties: - CAPITAL : - type: object - description: |+ - Capital details with following children: - CAPITAL_CATEGORY - CAPITAL_TYPE - CURRENCY - CAPITAL_AMT - NO_OF_SHARES - example: - CAPITAL: - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - properties: - CAPITAL_CATEGORY : - type: string - description: Capital Category - example: Issued - CAPITAL_TYPE : - type: string - description: Capital Type - example: Ordinary - CURRENCY : - type: string - description: Currency - example: SINGAPORE, DOLLARS - CAPITAL_AMT : - type: string - description: Capital Amount - example: 100,000.00 - NO_OF_SHARES : - type: string - description: Nos. of Shares - example: 100,000 - LIST_OFFICER_OWNER : - type: array - description: |+ - List of Officer(s) / Owner(s) with following children: - [OFFICER_OWNER] - example: - LIST_OFFICER_OWNER: - "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean - OFFICER_OWNER: - ADDRESS: - "@type": String - "#text": |- - 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, - SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - items: - properties: - OFFICER_OWNER : - type: object - description: |+ - Officer(s) / Owner(s) details with following children: - ADDRESS - IDENTITY_ID - PA_REG_NO - POSITION - ADDR_TYPE - CESSATION_DATE - OFFICER_NAME - CHANGE_ADDR_DATE - APPMT_DATE - NATIONALITY - example: - OFFICER_OWNER: - ADDRESS: - "@type": String - "#text": |- - 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, - SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - properties: - ADDRESS : - type: string - description: Address - example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE - IDENTITY_ID : - type: string - description: Identity No. - example: S1674174D - PA_REG_NO : - type: string - description: Public Accountant Registration No. - example: 00091 - POSITION : - type: string - description: Position - example: DIRECTOR - ADDR_TYPE : - type: string - description: |+ - Address Type, indicates if it is Singapore or foreign address. - Possible values are: - S Indicates Singapore address - - Indicates foreign address - example: S - CESSATION_DATE : - type: string - description: Cessation Date - example: 30/10/2003 - OFFICER_NAME : - type: string - description: Officer Name - example: HENRY GOH - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 30/10/2003 - APPMT_DATE : - type: string - description: Appointment Date - example: 30/10/2003 - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT : - type: array - description: |+ - List of Sales Revenue Amount with following children: - [SALES_REVENUE_AMOUNT] - example: - LIST_SALES_REVENUE_AMOUNT: - SALES_REVENUE_AMOUNT: - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - items: - properties: - SALES_REVENUE_AMOUNT : - type: object - description: |+ - Sales Revenue Amount details with following children: - ELEMENTS - YEAR - CURRENCY - AMOUNT - example: - SALES_REVENUE_AMOUNT: - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - properties: - ELEMENTS : - type: string - description: Description - example: Sales Revenue Amount - YEAR : - type: string - description: Year - example: 2008 - CURRENCY : - type: string - description: Currency - example: SGD - AMOUNT : - type: string - description: Amount. Amount values that higher than 1000 have a comma to delimit every 3 digits of the amount value. - example: 30000.00 - LIST_Ddrptcount : - type: array - description: |+ - List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: - [Ddrptcount] - example: - items: - properties: - Ddrptcount : - type: object - description: |+ - 6 XML tags (open then close) displays - Search By Financial Sectors (counts for 3 recent years) - Search By Non- Financial Sectors (counts for 3 recent years) - Following children are: - Rcyear - RcFlag (only respond for the year exists) - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) - Rcsecflag - LastUpdateDate (only respond for the year exists) - example: - properties: - Rcyear : - type: string - description: To show the year - example: 2017 - RcFlag : - type: string - description: Internal database value - example: N/A - Rcjan : - type: integer - description: Count for January - example: 1 - Rcfeb : - type: integer - description: Count for February - example: 1 - Rcmar : - type: integer - description: Count for March - example: 1 - Rcapr : - type: integer - description: Count for April - example: 1 - Rcmay : - type: integer - description: Count for May - example: 1 - Rcjun : - type: integer - description: Count for June - example: 1 - Rcjul : - type: integer - description: Count for July - example: 1 - Rcaug : - type: integer - description: Count for August - example: 1 - Rcsep : - type: integer - description: Count for September - example: 1 - Rcoct : - type: integer - description: Count for October - example: 1 - Rcnov : - type: integer - description: Count for November - example: 1 - Rcdec : - type: integer - description: Count for December - example: 1 - Rcid : - type: string - description: |+ - Internal database value, respond value from table Primary Key ID - It is for (For internal use) - example: N/A - Rcreg : - type: string - description: Company Registration Number - example: - Rcrptyid : - type: string - description: |+ - Product Type. Possible values are: - 1. Biz Check: 0001 - 2. Biz Check Plus: 0002 - example: 0001 - Rcsecflag : - type: integer - description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: 1 - LastUpdateDate : - type: datetime - description: Last update date - example: YYYY-MM-DD 00:00:00.0 - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: - total_items: - type: integer - format: int32 - example: 1 - description: Number of subjects being enquired relating to the search. - default: false - subject_idno: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - subject_name: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subject's name as captured in DDP. - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json Format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 76227681d82ca15ac640d8f5657989caaf7ec0dd Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:09:09 +0530 Subject: [PATCH 4684/5916] Delete d&b_business_check_sg_v1.yaml --- data/d&b_business_check_sg_v1.yaml | 1489 ---------------------------- 1 file changed, 1489 deletions(-) delete mode 100644 data/d&b_business_check_sg_v1.yaml diff --git a/data/d&b_business_check_sg_v1.yaml b/data/d&b_business_check_sg_v1.yaml deleted file mode 100644 index ff00a262f..000000000 --- a/data/d&b_business_check_sg_v1.yaml +++ /dev/null @@ -1,1489 +0,0 @@ -openapi: 3.0.1 -info: - title: D&B Business Check (SG) - description: |+ - This Data microservice provides key business information of a Singapore-registered company that includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. - x-additionalinfo: |+ - Suggested Use Cases: - - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels. - - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more. - - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements. - - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime. - - It can also be used for finance-related domains such as vehicle leasing, loans, enterprise credit terms and so on. Updated daily. - version: '1.0.0' - x-subscribelink: d&b_business_check_sg - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides key business information of a Singapore-registered company. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Apr 15, 2021" -paths: - /microservices/data/sbc/v1/getdata: - post: - tags: - - v1.0.0 - summary: Adds a new user - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - success: - report: - meta_info: - service: string - system_id: string - creation_date: string - user_id: string - class: string - req_search_info: - comp_name: string - reg_no: string - req_date: string - req_reg_no: string - req_name: string - req_date_str: string - registry_detail: - comp_name: string - renewal_date: string - address1: string - address2: string - address3: string - address4: string - comp_type_code: string - reg_date: string - reg_activity1: string - reg_activity2: string - acc_date: string - status_effect_date: string - name_effect_date: string - expiry_date: string - comp_type: string - change_addr_date: string - comp_status: string - reg_activity_desc1: string - reg_activity_desc2: string - auditor: string - auditor_appmt_date: string - last_ar_date: string - last_agm_date: string - country_incorp: string - employee_size: - elements: string - amount: string - list_biz_branch: - biz_branch: - addr_building: string - addr_postcode: string - addr_address1: string - list_reg_charges: - reg_charges: - charge_no: string - charge_date: string - chargee_comp: string - currency: string - amt_secured: string - status_satisfaction: string - list_liquidator: - liquidator: - liq_name: string - liq_id: string - liq_position: string - liq_comp: string - liq_address1: string - liq_address2: string - liq_address3: string - liq_address4: string - liq_appointment_date: string - list_sales_revenue_amount: - sales_revenue_amount: - elements: string - year: string - currency: string - amount: '0' - list_shareholder: - shareholder: - address: string - comp_id: string - no_of_share: string - currency: string - shareholder_type: string - share_type: string - shareholder_name: string - change_addr_date: string - addr_type: string - nationality: string - list_share_interest_comp: - share_interest_comp: - comp_name: string - share_owned_unit: string - share_owned_percent: string - status: string - list_officer_owner: - officer_owner: - address: string - identity_id: string - position: string - addr_type: string - cessation_date: string - officer_name: string - change_addr_date: string - appmt_date: string - nationality: string - list_capital: - capital: - capital_category: string - capital_type: string - currency: string - capital_amt: string - no_of_shares: string - list_name_change: - name_change: - prev_name: string - effect_date: string - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - REPORT: - type: object - example: - description: |+ - Report details with following children: - [META_INFO] - [REGISTRY_DETAIL] - [REQ_SEARCH_INFO] - [EMPLOYEE_SIZE] - [LIST_BIZ_BRANCH] - [LIST_REG_CHARGES] - [LIST_LIQUIDATOR] - [LIST_SHARE_INTEREST_COMP] - [LIST_NAME_CHANGE] - [LIST_SHAREHOLDER] - [LIST_CAPITAL] - [LIST_OFFICER_OWNER] - [LIST_SALES_REVENUE_AMOUNT] - properties: - META_INFO: - type: object - example: - META_INFO: - SERVICE: - "@type": String - "#text": BC - SYSTEM_ID: - "@type": String - "#text": DDP - CREATION_DATE: - "@type": Date - "#text": Wed Apr 08 11:37:51 MYT 2009 - USER_ID: - "@type": String - "#text": plcust102 - CLASS: - "@type": String - "#text": class com.technodex.ddp.xmlbean.MetaBean - description: |+ - Meta Information details with following children: - SERVICE - SYSTEM_ID - CREATION_DATE - USER_ID - CLASS - properties: - SERVICE: - type: string - description: Report requested - example: "BC" - SYSTEM_ID : - type: string - description: System ID - example: "DDP" - CREATION_DATE: - type: datetime - description: Report request date - example: "Wed Apr 08 11:37:51 MYT 2009" - USER_ID : - type: string - description: Valid user id in DDP system. It is for (For internal use) - example: "N/A" - CLASS: - type: string - description: Class location for metabean. It is for (For internal use) - example: "N/A" - REGISTRY_DETAIL : - type: object - example: - REGISTRY_DETAIL: - "@className": com.technodex.ddp.report.bean.CommercialBizRegistryBean - RENEWAL_DATE: - "@type": String - "#text": 23/12/2008 - ADDRESS1: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 - 01 - ADDRESS2: - "@type": String - "#text": KEPPEL BAY TOWER - ADDRESS3: - "@type": String - "#text": '098632' - ADDRESS4: - "@type": String - "#text": SINGAPORE - COMP_TYPE_CODE: - "@type": String - "#text": CP - REG_DATE: - "@type": String - "#text": 14/10/1974 - REG_ACTIVITY1: - "@type": String - "#text": OTHER INVESTMENT HOLDING COMPANIES - REG_ACTIVITY2: - "@type": String - "#text": SHIP MANAGEMENT SERVICES - ACC_DATE: - "@type": String - "#text": 31/12/2007 - STATUS_EFFECT_DATE: - "@type": String - "#text ": 14/10/1974 - NAME_EFFECT_DATE: - "@type": String - "#text": 14/10/1974 - EXPIRY_DATE: - "@type": String - "#text": 25/10/2009 - COMP_TYPE: - "@type": String - "#text": LIMITED PRIVATE COMPANY - CHANGE_ADDR_DATE: - "@type": String - "#text": '09 / 05 / 2003' - COMP_STATUS: - "@type": String - "#text": Live Company - REG_ACTIVITY_DESC1: - "@type": String - "#text": " - " - REG_ACTIVITY_DESC2: - "@type": String - "#text": " - " - AUDITOR: - "@type": String - "#text": " - " - AUDITOR_APPMT_DATE: - "@type": String - "#text": 13/06/1990 - LAST_AR_DATE: - "@type": String - "#text": 30/06/2008 - LAST_AGM_DATE: - "@type": String - "#text": 11/06/2008 - COUNTRY_INCORP: - "@type": String - "#text": SINGAPORE - description: |+ - Registry Details with following children: - RENEWAL_DATE - ADDRESS1 - ADDRESS2 - ADDRESS3 - ADDRESS4 - COMP_TYPE_CODE - REG_DATE - REG_ACTIVITY1 - REG_ACTIVITY2 - ACC_DATE - STATUS_EFFECT_DATE - NAME_EFFECT_DATE - EXPIRY_DATE - COMP_TYPE - CHANGE_ADDR_DATE - COMP_STATUS - REG_ACTIVITY_DESC1 - REG_ACTIVITY_DESC2 - AUDITOR - AUDITOR_APPMT_DATE - LAST_AR_DATE - LAST_AGM_DATE - COUNTRY_INCORP - properties: - RENEWAL_DATE: - type: string - description: Renewal Date - example: "23/12/2008" - ADDRESS1: - type: string - description: Address Line 1 - example: "1 HARBOURFRONT AVENUE , 18 - 01" - ADDRESS2: - type: string - description: Address Line 2 - example: "KEPPEL BAY TOWER" - ADDRESS3: - type: string - description: Address Line 3 - example: "098632" - ADDRESS4: - type: string - description: Address Line 4 - example: "SINGAPORE" - COMP_TYPE_CODE: - type: string - example: CP - description: |+ - Report Code. Available values are: - 1. CP Corporate - 2. SP Sole Proprietor - REG_DATE: - type: string - description: Registration Date - example: "14/10/1974" - REG_ACTIVITY1: - type: string - description: Registered Activities 1 - example: "OTHER INVESTMENT HOLDING COMPANIES" - REG_ACTIVITY2: - type: string - description: Registered Activities 2 - example: "SHIP MANAGEMENT SERVICES" - ACC_DATE: - type: string - description: Account Date - example: "31/12/2007" - STATUS_EFFECT_DATE: - type: string - description: Status Effective Date - example: "14/10/1974" - NAME_EFFECT_DATE: - type: string - description: Name Effective Date - example: "14/10/1974" - EXPIRY_DATE: - type: string - description: Expiry Date - example: "25/10/2009" - COMP_TYPE: - type: string - description: Company Type - example: "LIMITED PRIVATE COMPANY" - CHANGE_ADDR_DATE: - type: string - description: Change Address Date - example: "09/05/2003" - COMP_STATUS: - type: string - description: Company Status - example: "Live Company" - REG_ACTIVITY_DESC1: - type: string - description: Registered Activities Description - example: - REG_ACTIVITY_DESC2: - type: string - description: Registered Activities Description - example: - AUDITOR: - type: string - description: Auditor Name - example: - AUDITOR_APPMT_DATE: - type: string - description: Auditor Appointment Date - example: "13/06/1990" - LAST_AR_DATE: - type: string - description: Date of Last AR - example: "30/06/2008" - LAST_AGM_DATE: - type: string - description: Date of Last AGM - example: "11/06/2008" - COUNTRY_INCORP: - type: string - description: Country Incorporated - example: "SINGAPORE" - REQ_SEARCH_INFO : - type: object - example: - REQ_SEARCH_INFO: - "@className": com.technodex.ddp.report.bean.LitigationSearchInfoBean - COMP_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REG_NO: - "@type": String - "#text": 197401835M - REQ_DATE: - "@type": Date - "#text": '2009-04-08 11:36:03.611' - REQ_REG_NO: - "@type": String - "#text": 197401835M - REQ_NAME: - "@type": String - "#text": KAPAL MANAGEMENT (PRIVATE) LIMITED - REQ_DATE_STR: - "@type": String - "#text": '08/04/2009 11:36:03' - description: |+ - Request criteria & search record with following children: - COMP_NAME - REG_NO - REQ_DATE - REQ_REG_NO - REQ_NAME - REQ_DATE_STR - properties: - COMP_NAME: - type: string - description: Company Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REG_NO: - type: string - description: Subject’s ID Number (individual) or Registration Number (company/business) - example: "197401835M" - REQ_DATE: - type: string - description: Report Requested Date - example: "2009-04-08 11:36:03.611" - REQ_REG_NO: - type: string - description: Request Registration Number - example: "197401835M" - REQ_NAME: - type: string - description: Request Name - example: "KAPAL MANAGEMENT (PRIVATE) LIMITED" - REQ_DATE_STR: - type: string - description: Request Date String - example: "08/04/2009 11:36:03" - EMPLOYEE_SIZE : - type: object - description: |+ - Employee Size details with following children: - ELEMENTS - AMOUNT - example: - EMPLOYEE_SIZE: - ELEMENTS: Employee Size - AMOUNT: '300' - properties: - ELEMENTS: - type: string - description: Description - example: "Employee Size" - AMOUNT: - type: string - description: Number of employee - example: "300" - LIST_BIZ_BRANCH : - type: array - description: |+ - List of Business Branches with following children: - [BIZ_BRANCH] - example: - LIST_BIZ_BRANCH: - "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - properties: - BIZ_BRANCH : - type: object - description: |+ - Business Branches with following children: - ADDR_BUILDING - ADDR_POSTCODE - ADDR_ADDRESS1 - example: - BIZ_BRANCH: - ADDR_BUILDING: - "@type": String - "#text": "-" - ADDR_POSTCODE: - "@type": String - "#text": '289848' - ADDR_ADDRESS1: - "@type": String - "#text": 251A ARCADIA ROAD , - - - - properties: - ADDR_BUILDING: - type: string - description: Building Name - example: - ADDR_POSTCODE: - type: string - description: Postcode - example: 289848 - ADDR_ADDRESS1: - type: string - description: Address - example: 251A ARCADIA ROAD - LIST_REG_CHARGES: - type: array - description: |+ - List of Registered Charges with following children: - [REG_CHARGES] - example: - LIST_REG_CHARGES: - "@className": com.technodex.ddp.report.bean.CommercialBizChgRegBean - REG_CHARGES: - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '0.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - items: - properties: - REG_CHARGES : - type: object - description: |+ - Registered Charges details with following children: - CHARGE_NO - CHARGE_DATE - CHARGEE_COMP - CURRENCY - AMT_SECURED - STATUS_SATISFACTION - example: - REG_CHARGES: - CHARGE_NO: - "@type": String - "#text": '8205117' - CHARGE_DATE: - "@type": String - "#text": 26/11/1982 - CHARGEE_COMP: - "@type": String - "#text": UNITED OVERSEAS BANK LIMITED - CURRENCY: - "@type": String - "#text": "-" - AMT_SECURED: - "@type": String - "#text": '0.00' - STATUS_SATISFACTION: - "@type": String - "#text": "-" - properties: - CHARGE_NO : - type: string - description: Charge No. - example: 8205117 - CHARGE_DATE: - type: string - description: Charge Date - example: 26/11/1982 - CHARGEE_COMP: - type: string - description: Charges Company - example: UNITED OVERSEAS BANK LIMITED - CURRENCY: - type: string - description: Currency - example: - AMT_SECURED: - type: string - description: Amount Secured - example: 0.00 - STATUS_SATISFACTION: - type: string - description: Status of Satisfaction - example: - LIST_LIQUIDATOR: - type: array - description: |+ - List of Liquidator / Receiver / Judicial Manager with following children: - [LIQUIDATOR] - example: - LIST_LIQUIDATOR: - LIQUIDATOR: - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - items: - properties: - LIQUIDATOR : - type: object - description: |+ - Liquidator details with following children: - LIQ_POSITION - LIQ_ID - LIQ_NAME - LIQ_COMP - LIQ_ADDRESS1 - LIQ_ADDRESS2 - LIQ_ADDRESS3 - LIQ_ADDRESS4 - LIQ_APPOINTMENT_DATE - example: - LIQUIDATOR: - LIQ_NAME: ABUTHAHIR ABDUL GAFOOR - LIQ_ID: S1676216D - LIQ_POSITION: Liquidator - LIQ_COMP: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: 1 RAFFLES PLACE - LIQ_ADDRESS2: "#20-01" - LIQ_ADDRESS3: OUB CENTRE - LIQ_ADDRESS4: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: 30/03/2009 - properties: - LIQ_POSITION: - type: string - description: Liquidator / Receiver / Judicial Manager Position - example: Liquidator - LIQ_ID: - type: string - description: Liquidator / Receiver / Judicial Manager ID - example: S1676216D - LIQ_NAME : - type: string - description: Liquidator / Receiver / Judicial Manager Name - example: ABUTHAHIR ABDUL GAFOOR - LIQ_COMP: - type: string - description: Liquidator / Receiver / Judicial Manager Company Name - example: EL TICI FINANCIAL ADVISORY SERVICES PTE. LTD. - LIQ_ADDRESS1: - type: string - description: Liquidator / Receiver / Judicial Manager Address 1 - example: 1 RAFFLES PLACE - LIQ_ADDRESS2: - type: string - description: Liquidator / Receiver / Judicial Manager Address 2 - example: #20-01 - LIQ_ADDRESS3: - type: string - description: Liquidator / Receiver / Judicial Manager Address 3 - example: OUB CENTRE - LIQ_ADDRESS4: - type: string - description: Liquidator / Receiver / Judicial Manager Address 4 - example: SINGAPORE 048616 - LIQ_APPOINTMENT_DATE: - type: string - description: Liquidator / Receiver / Judicial Manager Appointment Date - example: 30/03/2009 - LIST_SHARE_INTEREST_COMP : - type: array - description: |+ - List of Share Interest In Companies with following children: - [SHARE_INTEREST_COMP] - example: - LIST_SHARE_INTEREST_COMP: - "@className": com.technodex.ddp.report.bean.CommercialShareInterestBean - SHARE_INTEREST_COMP: - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - items: - properties: - SHARE_INTEREST_COMP : - type: object - description: |+ - Share Interest In Companies details with following children: - COMP_NAME - SHARE_OWNED_UNIT - SHARE_OWNED_PERCENT - STATUS - example: - SHARE_INTEREST_COMP: - COMP_NAME: - "@type": String - "#text": ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT: - "@type": String - "#text": '500000' - SHARE_OWNED_PERCENT: - "@type": String - "#text": '100.00' - STATUS: - "@type": String - "#text": DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - properties: - COMP_NAME : - type: string - description: Company Name - example: ORCHID (HOLDINGS) PTE. LTD. - SHARE_OWNED_UNIT : - type: string - description: Shares Owned Unit - example: 500000 - SHARE_OWNED_PERCENT : - type: string - description: Shares Owned Value (%) - example: 100.00 - STATUS : - type: string - description: Status - example: DISSOLVED - MEMBERS' VOLUNTARY WINDING UP - LIST_NAME_CHANGE : - type: array - description: |+ - List of Change of Company/Business Name(s) with following children: - [NAME_CHANGE] - example: - LIST_NAME_CHANGE: - "@className": com.technodex.ddp.report.bean.CommercialBizChgCmpBean - NAME_CHANGE: - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - items: - properties: - NAME_CHANGE : - type: object - description: |+ - Change of Company/Business Name(s) with following children: - PREV_NAME - EFFECT_DATE - example: - NAME_CHANGE: - PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE - EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 - properties: - PREV_NAME : - type: string - description: Previous Name - example: HUA XI EATING HOUSE - EFFECT_DATE : - type: string - description: Effective Date - example: 25/10/1997 00:00:00 - LIST_SHAREHOLDER : - type: array - description: |+ - List of Shareholders with following children: - [SHAREHOLDER] - example: - LIST_SHAREHOLDER: - "@className": com.technodex.ddp.report.bean.CommercialShareHoldersBean - SHAREHOLDER: - ADDRESS: - "@type": String - "#text": |- - 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, - SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": |- - KEPPEL COMMUNICATIONS PTE - LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - items: - properties: - SHAREHOLDER : - type: object - description: |+ - Shareholders details with following children: - ADDRESS - COMP_ID - NO_OF_SHARE - CURRENCY - SHAREHOLDER_TYPE - SHARE_TYPE - SHAREHOLDER_NAME - CHANGE_ADDR_DATE - ADDR_TYPE - NATIONALITY - example: - SHAREHOLDER: - ADDRESS: - "@type": String - "#text": 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID: - "@type": String - "#text": 198200406H - NO_OF_SHARE: - "@type": String - "#text": '657' - CURRENCY: - "@type": String - "#text": UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE: - "@type": String - "#text": '2' - SHARE_TYPE: - "@type": String - "#text": Preference - SHAREHOLDER_NAME: - "@type": String - "#text": KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE: - "@type": String - "#text": '09/05/2003' - ADDR_TYPE: - "@type": String - "#text": "-" - NATIONALITY: - "@type": String - "#text": SINGAPORE - properties: - ADDRESS : - type: string - description: Address - example: 1 HARBOURFRONT AVENUE , 18 – 01; KEPPEL BAY TOWER; 098632, SINGAPORE - COMP_ID : - type: string - description: Company/ Identity No. - example: 198200406H - NO_OF_SHARE : - type: string - description: No. of Shares - example: 657 - CURRENCY : - type: string - description: Currency - example: UNITED STATES OF AMERICA, DOLLARS - SHAREHOLDER_TYPE : - type: string - description: Indicator for Shareholder type - example: 2 - SHARE_TYPE : - type: string - description: Share Type - example: Preference - SHAREHOLDER_NAME : - type: string - description: Shareholder Name - example: KEPPEL COMMUNICATIONS PTE LTD - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 09/05/2003 - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE - LIST_CAPITAL : - type: array - description: |+ - List of Capital details with following children: - [CAPITAL] - example: - LIST_CAPITAL: - "@className": com.technodex.ddp.report.bean.CommercialBizCapitalBean - CAPITAL: - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - items: - properties: - CAPITAL : - type: object - description: |+ - Capital details with following children: - CAPITAL_CATEGORY - CAPITAL_TYPE - CURRENCY - CAPITAL_AMT - NO_OF_SHARES - example: - CAPITAL: - CAPITAL_CATEGORY: - "@type": String - "#text": Issued - CAPITAL_TYPE: - "@type": String - "#text": Ordinary - CURRENCY: - "@type": String - "#text": SINGAPORE, DOLLARS - CAPITAL_AMT: - "@type": String - "#text": '100,000.00' - NO_OF_SHARES: - "@type": String - "#text": '100,000' - properties: - CAPITAL_CATEGORY : - type: string - description: Capital Category - example: Issued - CAPITAL_TYPE : - type: string - description: Capital Type - example: Ordinary - CURRENCY : - type: string - description: Currency - example: SINGAPORE, DOLLARS - CAPITAL_AMT : - type: string - description: Capital Amount - example: 100,000.00 - NO_OF_SHARES : - type: string - description: Nos. of Shares - example: 100,000 - LIST_OFFICER_OWNER : - type: array - description: |+ - List of Officer(s) / Owner(s) with following children: - [OFFICER_OWNER] - example: - LIST_OFFICER_OWNER: - "@className": com.technodex.ddp.report.bean.CommercialBizOfficeOwerBean - OFFICER_OWNER: - ADDRESS: - "@type": String - "#text": |- - 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, - SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - items: - properties: - OFFICER_OWNER : - type: object - description: |+ - Officer(s) / Owner(s) details with following children: - ADDRESS - IDENTITY_ID - PA_REG_NO - POSITION - ADDR_TYPE - CESSATION_DATE - OFFICER_NAME - CHANGE_ADDR_DATE - APPMT_DATE - NATIONALITY - example: - OFFICER_OWNER: - ADDRESS: - "@type": String - "#text": |- - 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, - SINGAPORE - IDENTITY_ID: - "@type": String - "#text": S1674174D - POSITION: - "@type": String - "#text": DIRECTOR - ADDR_TYPE: - "@type": String - "#text": S - CESSATION_DATE: - "@type": String - "#text": "-" - OFFICER_NAME: - "@type": String - "#text": NGIAM SHARE CHING - CHANGE_ADDR_DATE: - "@type": String - "#text": 25/10/2008 - APPMT_DATE: - "@type": String - "#text": 30/09/2008 - NATIONALITY: - "@type": String - "#text": SINGAPORE CITIZEN - properties: - ADDRESS : - type: string - description: Address - example: 50A TOH TUCK ROAD, 04 - 08 ; SIGNATURE PARK; 596742, SINGAPORE - IDENTITY_ID : - type: string - description: Identity No. - example: S1674174D - PA_REG_NO : - type: string - description: Public Accountant Registration No. - example: 00091 - POSITION : - type: string - description: Position - example: DIRECTOR - ADDR_TYPE : - type: string - description: Address Type, indicates if it is Singapore or foreign address. - example: S - CESSATION_DATE : - type: string - description: Cessation Date - example: 30/10/2003 - OFFICER_NAME : - type: string - description: Officer Name - example: HENRY GOH - CHANGE_ADDR_DATE : - type: string - description: Change Address Date - example: 30/10/2003 - APPMT_DATE : - type: string - description: Appointment Date - example: 30/10/2003 - NATIONALITY : - type: string - description: Nationality - example: SINGAPORE P.R. - LIST_SALES_REVENUE_AMOUNT : - type: array - description: |+ - List of Sales Revenue Amount with following children: - [SALES_REVENUE_AMOUNT] - example: - LIST_SALES_REVENUE_AMOUNT: - SALES_REVENUE_AMOUNT: - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - items: - properties: - SALES_REVENUE_AMOUNT : - type: object - description: |+ - Sales Revenue Amount details with following children: - ELEMENTS - YEAR - CURRENCY - AMOUNT - example: - SALES_REVENUE_AMOUNT: - ELEMENTS: Sales Revenue Amount - YEAR: '2008' - CURRENCY: SGD - AMOUNT: '30000.00' - properties: - ELEMENTS : - type: string - description: Description - example: Sales Revenue Amount - YEAR : - type: integer - description: Year - example: 2008 - CURRENCY : - type: string - description: Currency - example: SGD - AMOUNT : - type: integer - description: Amount - example: 30000.00 - LIST_Ddrptcount : - type: array - description: |+ - List of Search By Financial Sectors and Search By Non- Financial Sectors with following children: - [Ddrptcount] - example: - items: - properties: - Ddrptcount : - type: object - description: |+ - 6 XML tags (open then close) displays - Search By Financial Sectors (counts for 3 recent years) - Search By Non- Financial Sectors (counts for 3 recent years) - Following children are: - Rcyear - RcFlag (only respond for the year exists) - Rcjan - Rcfeb - Rcmar - Rcapr - Rcmay - Rcjun - Rcjul - Rcaug - Rcsep - Rcoct - Rcnov - Rcdec - Rcid (only respond for the year exists) Rcreg (only respond for the year exists) Rcrptyid (only respond for the year exists) - Rcsecflag - LastUpdateDate (only respond for the year exists) - example: - properties: - Rcyear : - type: string - description: To show the year - example: 2017 - RcFlag : - type: string - description: Internal database value - example: N/A - Rcjan : - type: integer - description: Count for January - example: 1 - Rcfeb : - type: integer - description: Count for February - example: 1 - Rcmar : - type: integer - description: Count for March - example: 1 - Rcapr : - type: integer - description: Count for April - example: 1 - Rcmay : - type: integer - description: Count for May - example: 1 - Rcjun : - type: integer - description: Count for June - example: 1 - Rcjul : - type: integer - description: Count for July - example: 1 - Rcaug : - type: integer - description: Count for August - example: 1 - Rcsep : - type: integer - description: Count for September - example: 1 - Rcoct : - type: integer - description: Count for October - example: 1 - Rcnov : - type: integer - description: Count for November - example: 1 - Rcdec : - type: integer - description: Count for December - example: 1 - Rcid : - type: integer - description: Internal database value - example: - Rcreg : - type: string - description: Company Registration Number - example: - Rcrptyid : - type: string - description: Product Type - example: - Rcsecflag : - type: integer - description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors - example: 1 - LastUpdateDate : - type: string - description: Last update date - example: - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - properties: - total_items: - type: integer - format: int32 - example: 1 - description: Number of subjects being enquired relating to the search. - default: false - subject_idno: - type: string - example: 199707714C - description: "Subject’s ID Number (individual) or Registration Number (company/business) as captured in DDP" - default: true - subject_name: - type: string - example: GPS INDUSTRIES PTE LTD - description: Subjects' name as captured in DDP. - default: false - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized and Standardized results in Json Format - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 15, 2019 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 98d6b47790e8118e2984c85f770012cdd9a67c1f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:09:18 +0530 Subject: [PATCH 4685/5916] Delete demographics_hdb_sg_v1.yaml --- data/demographics_hdb_sg_v1.yaml | 481 ------------------------------- 1 file changed, 481 deletions(-) delete mode 100644 data/demographics_hdb_sg_v1.yaml diff --git a/data/demographics_hdb_sg_v1.yaml b/data/demographics_hdb_sg_v1.yaml deleted file mode 100644 index a736c29d3..000000000 --- a/data/demographics_hdb_sg_v1.yaml +++ /dev/null @@ -1,481 +0,0 @@ -openapi: 3.0.1 -info: - title: HDB Demographics (SG) - x-subscribelink: demographics_hdb_sg - description: |+ - This Data microservice returns information on Housing Development Board (HDB) estates which includes the location address, postal code, gender and age groups, down to block-level granularity. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. - - **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). - - x-additionalinfo : |+ - Suggested Use Cases: - - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - - > {"must":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"postalcode":570251}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match_phrase":{"street":"serangoon north avenue 4"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"street":"serangoon"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - **Match Types:** - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - > {"match":{"street":"serangoon"}} - * **match_phrase** - Search within a full text field - > {"match_phrase":{"street":"serangoon central"}} - * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"serangoon central"}} - * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postalcode":560720}} - * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postalcode":[560720,560721]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"residents":{"gte":10}}} - > {"range":{"residents":{"lte":50}}} - > {"range":{"residents":{"gte":10,"lte":50}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{ "field":"postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - - **Forming sophisticated queries using combinations of filter types (in JSON)** - Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: - - > { - > "must":[{"match_phrase":{"street":"serangoon+central"}}], - > "filter":[{"range":{"residents":{"gte":10}}}], - > "should":[{"match":{"gender":"male"}}], - > "must_not":[{"match":{"age_group_id":"2"}}] - > } - **Sample Queries Based on Use Cases** - - 1. **Search for the number of elderly residents staying at Blk 423, Tampines Street 41 filter by age and gender.** - Using a filterdata only: - - > {"filter":[{"match":{"street":"tampines street 41"}},{"match":{"block":"423"}},{"terms":{"age_group_id":[6,7,8]}}]} - - 2. **Search for the number of female residents between age 50 to 59 staying in the postal code from 560720 to 560721.** - Using a filterdata only: - - > {"filter":[{"terms":{"postalcode":[560720,560721]}},{"match":{"gender":"female"}},{"terms":{"age_group_id":[6]}}]} - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides information on Housing Development Board (HDB) estates. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/demographics/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "tampines" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"filter":[{"match":{"age_group_id":7}},{"match":{"gender":"male"}},{"match":{"postalcode":520423}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 986 - max_score: 17.995623 - hits: - - _index: sentient_hdb_demographics_index - _type: dir_doc - _id: K7scqWgBv3dNEHq2WvMo - _score: 17.995623 - _source: - postalcode: 560720 - gender: 'male' - age_group: '50 to 59' - age_group_id: 6 - residents: 54 - block: '34' - street: 'upper cross street' - xcoord: 29520.58 - ycoord: 39311.68 - address: '34 upper cross street' - createddate: '2020-04-23' - lastupdated: '2020-04-23' - location: - lat: 1.37179535 - lon: 103.8469821 - source: hdb - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object in the returned results - properties: - total: - type: integer - format: int32 - example: 986 - description: Total number of records - max_score: - type: number - format: float - example: 17.995623 - description: The highest score value - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - postalcode: - type: integer - format: int32 - description: Postal code of a block - example: 560720 - gender: - type: string - description: Gender details, values are male/female - example: "male" - age_group: - type: string - description: Range of age groups - example: "50 to 59" - age_group_id: - type: integer - format: int32 - description: |+ - Age group ID represents a certain age range: - 1 (<10 years) - 2 (10-19 years) - 3 (20-29 years) - 4 (30-39 years) - 5 (40-49 years) - 6 (50-59 years) - 7 (60-69 years) - 8 (>70 years) - example: 6 - residents: - type: integer - format: int32 - description: Number of residents - example: 54 - block: - type: integer - format: int32 - description: Address block - example: "34" - street: - type: string - description: Street Address or building name - example: "upper cross street" - xcoord: - type: number - format: float - description: SVY21 X coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object). - example: 29520.58 - ycoord: - type: number - format: float - description: SVY21 Y coordinates (Note, SVY21 is a localised plane coordinate system used specifically by Singapore. For global GPS lat/long coordinates, refer to "location" object). - example: 39311.68 - address: - type: string - description: Building full address - example: "34 upper cross street" - createddate: - type: string - description: Record first release date on sentient - example: "2020-04-23" - lastupdated: - type: string - description: Record last updated date on sentient - example: "2020-04-23" - location: - type: object - description: WGS84 coordinates lat/long - example: {"lat":1.37179535,"lon":103.8469821} - properties: - lat: - type: number - format: float - description: Latitude in the WGS84 coordinate format - example: 1.37179535 - lon: - type: number - format: float - description: Longitude in the WGS84 coordinate format - example: 103.8469821 - source: - type: string - description: Dataset source - example: "hdb" - message: - type: string - example: Successfully Processed - description: Description of the API the status - status: - type: string - example: Success - description: The status of the API call - success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21,2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 15,2020 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. From 78b9df559de393a6bdd2ab2d57f5b67d0d84c45c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:09:27 +0530 Subject: [PATCH 4686/5916] Delete directory_of_singapore_startups_v1.yaml --- data/directory_of_singapore_startups_v1.yaml | 562 ------------------- 1 file changed, 562 deletions(-) delete mode 100644 data/directory_of_singapore_startups_v1.yaml diff --git a/data/directory_of_singapore_startups_v1.yaml b/data/directory_of_singapore_startups_v1.yaml deleted file mode 100644 index a20b9f988..000000000 --- a/data/directory_of_singapore_startups_v1.yaml +++ /dev/null @@ -1,562 +0,0 @@ -openapi: 3.0.1 -info: - title: Directory of Singapore Startups - x-subscribelink: directory_of_singapore_startups - description: |+ - This Data microservice retrieves a list of all Singapore startup companies found on the internet through web scraping. Updated quarterly. - x-additionalinfo: |+ - Suggested Use Cases: - - Build solutions related to startups in Singapore. For example, investors interested in industry analysis can use this microservice to identify the trends and patterns in Singapore's startup scene. - - **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. - - **Filter Types:** - A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: - - * **must** - All of the stated conditions must match. Equivalent to an AND operator. - > {"must":[{"match":{"name":"technology"}}]} - * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"yearestablished.e27":"2016"}}]} - - * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match":{"status.e27":"active"}}]} - - * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"exists":{"field":"company.e27"}}]} - - For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. - **Match Types:** - A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: - - * **match** - Search within a full text field for a single word - - > {"match":{"name":"technology"}} - - * **match_phrase** - Search within a full text field - - > {"match_phrase":{"name":"nextwave partners"}} - - * **match_phrase_prefix** - Search within a full text field with prefix - - > {"match_phrase_prefix":{"name":"nextwave partners"}} - - * **term** - Returns results that contain an exact term in a provided field - - > {"term":{"employeecount.techinasia":"11"}} - - * **terms** - Returns results that contain one or more exact terms in a provided field - - > {"terms":{"employeecount.techinasia":["11","15"]}} - - * **range** - Returns results that contain terms within a stipulated range - - > {"range":{"company.techinasia.funding.amount":{"gte":10000000}}} - > {"range":{"company.techinasia.funding.amount":{"lte":50000000}}} - > {"range":{"company.techinasia.funding.amount":{"gte":10000000,"lte":50000000}}} - - * **exists** - Returns results that contain any indexed value for a field - - > {"exists":{"field":"company.e27"}} - - **Sample filterdata JSON:** - > { - > "must":[{"match":{"name":"technology"}}], - > "filter":[{"exists":{"field":"company.e27"}}], - > "should":[{"match":{"status.e27":"active"}}], - > "must_not":[{"match":{"yearestablished.e27":"2016"}}] - > } - version: '1.0.0' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 10MB/Call - x-inputfilelimit: |+ - Process up to 10000 kb of data or chat per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by the amount of data transferred. - x-notes: |+ - Process up to 10,000 records. - x-apidetailsdesc: |+ - Provides a list of all Singapore startup companies found on the internet through web scraping. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" -paths: - /microservices/data/directories_searchdir/v1/getdata: - get: - tags: - - v1.0.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all start ups (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "technology" - default: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - default: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - default: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - default: false - example: |+ - {"must":[{"match":{"name":"technology"}}],"filter":[{"exists":{"field":"company.e27"}}],"should":[{"match":{"status.e27":"active"}}],"must_not":[{"match":{"yearestablished.e27":"2016"}}]} - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - total: 986 - max_score: 1 - hits: - - _index: sentient_directory_index - _type: dir_doc - _id: TrrmAWgBv3dNEHq24P-C - _score: 1 - _source: - type: company - source: sentient - address: singapore - createddate: '2018-12-31' - name: AAR Consultancy - logo: - e27: https://e27.co/img/startups/11448/logo.png - company: - e27: - sourceurl: https://e27.co/startup/aar-consultancy - type: startup - technology: - - Enterprise Solution - - Big Data - - E-commerce - - Education - - Internet of Things - socialmedia: - e27: - linkedin: https://sg.linkedin.com/in/soumikch - descshort: - e27: Google Certified Professionals. Providing with Consultation, Implementation - Strategy and Training of various online platforms, methods and campaigns, - including eComm launches. - desclong: - e27: 'My name is Soumik and I am founder of AAR Consultancy, a registered - business in Singapore. I provide online consultancy, implementation strategy - development and Training.I offer various online services, which you can - see from my attached company profile. I am an MBA with 11+ years experience - helping manage digital / online marketing for various industries. Been guest - speakers at seminars and conferences and provided corporate training to - SMEs and MNCs alike. I have worked with Streetdirectory, MDIS, Ogilvy and - Mather, American Express and Mothercare and has helped clients such as IBM, - Unilever, Nestle, SingTel, Guinness amongst others. SMEs, MNCs : B2B and - B2C.Have launched eCommerce Platforms, websites, strategies, technologies, - apps, and more.Trained and implemented, SEO, AdWords - ppc, media ads, social, - community management and more.' - website: - e27: http://ww.aaronline.sg - status: - e27: active - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json object of returned results. - properties: - total: - type: integer - example: 986 - description: Total number of records. - max_score: - type: integer - example: 1 - description: The highest score value. - hits: - type: array - example: [ { "" } - description: Json object of returned hits. - properties: - type: - type: string - description: Directory type - example: company - source: - type: string - description: Dataset source - example: sentient - address: - type: string - description: Full address - example: singapore - createddate: - type: string - description: Record first release date on sentient. - example: '2018-12-31' - name: - type: string - description: Business name - example: AAR Consultancy - logo: - type: object - example: { "" } - description: List of logo from various content providers like f6s, e27, techinasia. - properties: - : - type: string - description: logo url - example: 'https://e27.co/img/startups/11448/logo.png' - company: - type: object - example: { "" } - description: Full details about the company from various content providers like f6s, e27, techinasia - properties: - : - type: object - example: { "" } - description: Directory details from the content provider like f6s, e27, techinasia. - properties: - sourceurl: - type: string - description: Directory source url - example: 'https://e27.co/startup/tech-in-asia' - type: - type: string - description: Type of Directory - example: startup - technology: - type: array - items: - oneOf: - - type: string - format: list - example: Enterprise Solution - - type: string - format: list - example: Big Data - - type: string - format: list - example: E-commerce - - type: string - format: list - example: Education - - type: string - format: list - example: Internet of Things - funding: - type: array - example: [ { "" } - description: Various Social media details from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: Social media information of the record - example: 'https://www.linkedin.com/company/tech-in-asia' - properties: - linkedin: - type: string - description: Social media - Linkedin url - example: 'https://www.linkedin.com/company/tech-in-asia' - facebook: - type: string - description: Social media - Facebook url - example: 'https://www.facebook.com/techinasia' - twitter: - type: string - description: Social media - twitter url - example: 'https://www.twitter.com/Techinasia' - descshort: - type: object - example: { "" } - description: Short description - properties: - : - type: string - description: Short description from various content providers like f6s, e27, techinasia - example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta.' - desclong: - type: object - example: { "" } - description: Long description - properties: - : - type: string - description: Long description from various content providers like f6s, e27, techinasia - example: 'Tech in Asia (YC W15) is the go-to online platform for Asia’s tech community, with annual conferences hosted in Singapore, Tokyo, and Jakarta. Right here is where you can keep abreast of Asia’s tech industry, share your thoughts alongside ours, and connect with startups and investors alike.With an ever-growing team of close to 100 based all across Asia and the US, spanning editorial, events and database functions, they are fully dedicated to bringing Asia’s tech ecosystem closer together.Above all, they want to give you a voice with their platform and facilitate meaningful discussions that would otherwise only take place offline. Anyone willing to add value to Asia’s tech community and ecosystem is able and welcome to join in the conversation.Tech in Asia counts Softbank, Y Combinator, Walden International, East Ventures, Facebook co-founder Eduardo Saverin, and more amongst its list of investors. Their statement of ethics governs their principles regarding full disclosure and conflicts of interest.' - website: - type: object - example: { "" } - description: Website details from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: Website address - example: 'https://www.techinasia.com' - status: - type: object - example: { "" } - description: Company status from various content providers like f6s, e27, techinasia - properties: - : - type: string - description: Company status - example: active - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - May 21, 2021 - x-details: Optimized release - description: Latest Version - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Dec 26, 2018 - x-details: Initial version release - description: Archived - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. From b3117ab9f058886731c70568c53a8dd4154bc487 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:09:34 +0530 Subject: [PATCH 4687/5916] Delete fitness_stations_and_playgrounds_hdb_sg_v2.yaml --- ...ss_stations_and_playgrounds_hdb_sg_v2.yaml | 448 ------------------ 1 file changed, 448 deletions(-) delete mode 100644 data/fitness_stations_and_playgrounds_hdb_sg_v2.yaml diff --git a/data/fitness_stations_and_playgrounds_hdb_sg_v2.yaml b/data/fitness_stations_and_playgrounds_hdb_sg_v2.yaml deleted file mode 100644 index 92da88255..000000000 --- a/data/fitness_stations_and_playgrounds_hdb_sg_v2.yaml +++ /dev/null @@ -1,448 +0,0 @@ -openapi: 3.0.1 -info: - title: HDB Fitness Stations and Playgrounds (SG) - x-subscribelink: fitness_stations_and_playgrounds_hdb_sg - description: > - Returns information on the map data including: coordinates, type and the - details of the location.This Data microservice captures the indicative - outline of fitness stations/playgrounds for all Housing Development Board of - Singapore (HDB) Towns, HDB Estates and on HDB Land. - x-additionalinfo: > - **Match types:** - - A match type is a match operator. The supported match types are: - - * **match_phrase** - Search within a full text field - > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} - * **match** - Search within a full text field for a single word - > {"match":{"properties.quality":"FULLY VISIBLE"}} - * **exists** - Returns results that contain any indexed value for a field - > {"exists":{"field":"properties.featid"}} - * **geo_distance** - Returns the geo search based on the distance and - location lat/long - > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} - * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. - > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. - > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. - > WITHIN - Return all documents whose geo_shape field is within the query geometry. - type should be - > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) - > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. - > { - "geo_shape": { - "geometry": { - "shape": { - "type": "polygon", - "coordinates":[ [ [103.69907590788098,1.341790133926203],[ 103.6990219038758, - 1.341868809532727],[103.69919264733477,1.341893585818229], - [103.69919936085681,1.341886273517502],[103.69907590788098, - 1.341790133926203 ]]] - }, - "relation": "intersects" - } - } - } - * **bool** - Returns results that must or must_not match with word - > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - - version: 2.1.0 - x-apitype: small file - x-apitypedescription: | - Fast | Single-Call | 10MB/Call - x-inputfilelimit: | - Process up to 10000 kb of data or chat per API call. - x-responsetime: | - Response rate is fast due to small data transfer per call made. - x-billingmethod: | - The API is billed by per request. - x-notes: | - Process up to 10,000 records. - x-apidetailsdesc: | - Provides returns all road works being / to be carried out. -servers: - - url: https://dev-apis.sentient.io -tags: - - name: v2.1.0 - description: Published Date - Apr 08, 2022 -paths: - /microservices/data/fitnessstationplaygrnd/v2/getdata: - post: - tags: - - v2.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - results: - hits: - - _id: 3161fa9077473e138ed - _index: hdb_map_index - _score: 0 - _source: - geometry: - coordinates: - - 103.70325637102218 - 1.340288655171077 - - 103.70324988930291 - 1.340330798101515 - - 103.7033615141859 - 1.340351217328143 - - 103.70336972380933 - 1.34030944346928 - - 103.70325637102218 - 1.340288655171077 - type: Polygon - geometry_type: Polygon - lastupdated: '2022-04-05T16:05:00.644Z' - properties: - featid: 316 - fmel_upd_d: '2018-06-29' - inc_crc: 1FA9077473E138ED - lvl: GROUND LEVEL - quality: FULLY VISIBLE - type: FITNESS STATION / PLAYGROUND - _type: _doc - max_score: 0 - total: - relation: eq - value: 3118 - scroll_id: >- - FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHUWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHcWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHYWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHkWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHgWdjVWcXJXaVhRaXVaQzBma19Jckthdw== - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - Success/Failure - scroll_id: - type: string - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Pagination id - results: - type: object - example: {} - description: Json Object of returned results - properties: - max_score: - type: float - example: 0.0 - description: The highest score value - total: - type: object - example: {} - description: Json Object of returned total - properties: - relation: - type: string - example: eq - description: Realtion between total counts and display result count. - value: - type: integer - example: 1 - description: Total number of records - hits: - type: array - example: [{} - description: Json Object of returned hits - properties: - properties: - type: object - example: {} - description: Json Object of returned results - properties: - featid: - type: integer - example: 128 - description: Properties FEATID - lvl: - type: string - example: "GROUND LEVEL" - description: Properties Level - quality: - type: string - example: "FULLY VISIBLE" - description: Quality of Properties - type: - type: string - example: "FITNESS STATION / PLAYGROUND" - description: Property Types - inc_crc: - type: string - example: "6CBA10726FCF8D23" - description: INC_CRC - fmel_upd_d: - type: string - example: "2018-06-29" - description: fmel_upd_d - geometry: - type: geo_shape - description: Location coordinates and its type - example: {"type": "FITNESS STATION / PLAYGROUND", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} - lastupdated: - type: string - description: Record last updated date on sentient - example: "2021-07-26T04:24:16.409Z" - geometry_type: - type: string - description: Type of Geometry Coordinates - example: "Polygon" - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v2.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 30, 2022 - x-details: Data structure changed - description: Latest Version - v2.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 08, 2022 - x-details: Data structure changed - description: Archived - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Apr 15, 2021 - x-details: Optimized release - description: Archived - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Mar 24, 2020 - x-details: Initial version release - description: Archived - input: - type: object - properties: - limit: - type: number - default: false - example: 10 - description: The max records to return for the request. Default - 10, Max - 10000 - offset: - type: number - default: false - example: 0 - description: The offset of the record list ie the starting index . Default - 0 - filter: - type: array - default: false - items: - type: object - example: - - match_phrase: - properties.quality: FULLY VISIBLE - description: >+ - Its a list of filters to refine the search further. Default it - returns the today's latest record. Each filter consists of a match - type, the field and the value. The possible match types are: - - * match - - * match_phrase - - * geo_distance - - * geo_shape - - * exists - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From c457997a6559e8710e39204b7eddb21cf731d8d2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:19:40 +0530 Subject: [PATCH 4688/5916] Update flat_ownership_hdb_sg.yaml --- data/flat_ownership_hdb_sg.yaml | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/data/flat_ownership_hdb_sg.yaml b/data/flat_ownership_hdb_sg.yaml index 39549741d..1c23ad7c9 100644 --- a/data/flat_ownership_hdb_sg.yaml +++ b/data/flat_ownership_hdb_sg.yaml @@ -76,7 +76,7 @@ info: Using a filterdata only: > filterdata = {"filter":[{"match":{"street":"ang mo kio"}},{"match":{"len_of_ownership_id":"1"}}]} - version: '1.0.0' + version: '1.1.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -91,15 +91,15 @@ info: x-apidetailsdesc: |+ Provides information on flat ownership within Housing Development Board of Singapore. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" +- name: "v1.1.0" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ownership/v1/getdata: get: tags: - - v1.0.0 + - v1.1.0 parameters: - in: query name: querystring @@ -444,6 +444,14 @@ components: versions: type: object properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30,2022 + x-details: Optimized release + description: Latest Version v1.0.0: type: array items: @@ -451,7 +459,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Latest Version + description: Older version v0.1.0: type: array items: From cdc6591a6251b7500a75d1a62eaed5b54d28177b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:31:34 +0530 Subject: [PATCH 4689/5916] Create fitness_stations_and_playgrounds_hdb_sg.yaml --- ...tness_stations_and_playgrounds_hdb_sg.yaml | 448 ++++++++++++++++++ 1 file changed, 448 insertions(+) create mode 100644 data/fitness_stations_and_playgrounds_hdb_sg.yaml diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml new file mode 100644 index 000000000..b7cb217da --- /dev/null +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -0,0 +1,448 @@ +openapi: 3.0.1 +info: + title: HDB Fitness Stations and Playgrounds (SG) + x-subscribelink: fitness_stations_and_playgrounds_hdb_sg + description: > + Returns information on the map data including: coordinates, type and the + details of the location.This Data microservice captures the indicative + outline of fitness stations/playgrounds for all Housing Development Board of + Singapore (HDB) Towns, HDB Estates and on HDB Land. + x-additionalinfo: > + **Match types:** + + A match type is a match operator. The supported match types are: + + * **match_phrase** - Search within a full text field + > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} + * **match** - Search within a full text field for a single word + > {"match":{"properties.quality":"FULLY VISIBLE"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"properties.featid"}} + * **geo_distance** - Returns the geo search based on the distance and + location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "polygon", + "coordinates":[ [ [103.69907590788098,1.341790133926203],[ 103.6990219038758, + 1.341868809532727],[103.69919264733477,1.341893585818229], + [103.69919936085681,1.341886273517502],[103.69907590788098, + 1.341790133926203 ]]] + }, + "relation": "intersects" + } + } + } + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + + version: 2.1.0 + x-apitype: small file + x-apitypedescription: | + Fast | Single-Call | 10MB/Call + x-inputfilelimit: | + Process up to 10000 kb of data or chat per API call. + x-responsetime: | + Response rate is fast due to small data transfer per call made. + x-billingmethod: | + The API is billed by per request. + x-notes: | + Process up to 10,000 records. + x-apidetailsdesc: | + Provides returns all road works being / to be carried out. +servers: + - url: https://dev-apis.sentient.io +tags: + - name: v2.1.0 + description: Published Date - Jun 30, 2022 +paths: + /microservices/data/fitnessstationplaygrnd/v2/getdata: + post: + tags: + - v2.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + - _id: 3161fa9077473e138ed + _index: hdb_map_index + _score: 0 + _source: + geometry: + coordinates: + - 103.70325637102218 + 1.340288655171077 + - 103.70324988930291 + 1.340330798101515 + - 103.7033615141859 + 1.340351217328143 + - 103.70336972380933 + 1.34030944346928 + - 103.70325637102218 + 1.340288655171077 + type: Polygon + geometry_type: Polygon + lastupdated: '2022-04-05T16:05:00.644Z' + properties: + featid: 316 + fmel_upd_d: '2018-06-29' + inc_crc: 1FA9077473E138ED + lvl: GROUND LEVEL + quality: FULLY VISIBLE + type: FITNESS STATION / PLAYGROUND + _type: _doc + max_score: 0 + total: + relation: eq + value: 3118 + scroll_id: >- + FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHUWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHcWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHYWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHkWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABHgWdjVWcXJXaVhRaXVaQzBma19Jckthdw== + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - Success/Failure + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id + results: + type: object + example: {} + description: Json Object of returned results + properties: + max_score: + type: float + example: 0.0 + description: The highest score value + total: + type: object + example: {} + description: Json Object of returned total + properties: + relation: + type: string + example: eq + description: Realtion between total counts and display result count. + value: + type: integer + example: 1 + description: Total number of records + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + properties: + type: object + example: {} + description: Json Object of returned results + properties: + featid: + type: integer + example: 128 + description: Properties FEATID + lvl: + type: string + example: "GROUND LEVEL" + description: Properties Level + quality: + type: string + example: "FULLY VISIBLE" + description: Quality of Properties + type: + type: string + example: "FITNESS STATION / PLAYGROUND" + description: Property Types + inc_crc: + type: string + example: "6CBA10726FCF8D23" + description: INC_CRC + fmel_upd_d: + type: string + example: "2018-06-29" + description: fmel_upd_d + geometry: + type: geo_shape + description: Location coordinates and its type + example: {"type": "FITNESS STATION / PLAYGROUND", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2021-07-26T04:24:16.409Z" + geometry_type: + type: string + description: Type of Geometry Coordinates + example: "Polygon" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Data structure changed + description: Latest Version + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 08, 2022 + x-details: Data structure changed + description: Older Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 15, 2021 + x-details: Optimized release + description: Archived + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 24, 2020 + x-details: Initial version release + description: Archived + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: + - match_phrase: + properties.quality: FULLY VISIBLE + description: >+ + Its a list of filters to refine the search further. Default it + returns the today's latest record. Each filter consists of a match + type, the field and the value. The possible match types are: + + * match + + * match_phrase + + * geo_distance + + * geo_shape + + * exists + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From cc3f90c54f19caa2025e37624acc0ea61a38301e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:32:16 +0530 Subject: [PATCH 4690/5916] Update directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index 42beeaf31..969781664 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -552,7 +552,7 @@ components: - type: string example: Published Date - May 21, 2021 x-details: Optimized release - description: Archived + description: Older Version v0.1.0: type: array items: From fe843531a360039018544fba450bf2109b53c1a7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:33:14 +0530 Subject: [PATCH 4691/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index 7ab559f9a..71c72af58 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -471,7 +471,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Archived + description: Older Version v0.1.0: type: array items: From a347248cff62fecb1341a4e7d6296388da0c7db0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:33:44 +0530 Subject: [PATCH 4692/5916] Update d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index 33b3de3c7..89cf014bc 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -1479,7 +1479,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json Format - description: Archived + description: Older version v0.1.0: type: array items: From f62f4564181b59c0a4110c9b9759f9566dc07453 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:34:36 +0530 Subject: [PATCH 4693/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index f713dfc76..9d7af6abc 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -2492,7 +2492,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json Format - description: Archived + description: Older Version v0.1.0: type: array items: From 44330fb573aee43749b0f9145ffc0ecf93a7505e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:34:53 +0530 Subject: [PATCH 4694/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index fc3e43f4b..cd76d99f7 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -1606,7 +1606,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json format - description: Archived + description: Older Version v0.1.0: type: array items: From 94f56742e03377998f1c51301b0516d9e64730b8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:35:13 +0530 Subject: [PATCH 4695/5916] Update d&b_basic_individual_search_sg.yaml --- data/d&b_basic_individual_search_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_basic_individual_search_sg.yaml b/data/d&b_basic_individual_search_sg.yaml index ed8871587..2bf09d09e 100644 --- a/data/d&b_basic_individual_search_sg.yaml +++ b/data/d&b_basic_individual_search_sg.yaml @@ -1408,7 +1408,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json Format - description: Archived + description: Older Version v0.1.0: type: array items: From 0decd072b3f294c6b8818517e18fc596f596505c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:35:30 +0530 Subject: [PATCH 4696/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index a4c732b7b..5bad3cef4 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -515,7 +515,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Archived + description: Older Version v0.1.0: type: array items: From dfa6ab73fbbb376ec6dc0183435f3639d8cb67cb Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:35:50 +0530 Subject: [PATCH 4697/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index dd893eaf9..c1a260734 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -480,7 +480,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Latest Version + description: Older Version v0.2.0: type: array items: @@ -491,7 +491,7 @@ components: The following additional fields are added: 1. postalcode - list of postal code 2. location - lat / log of the carpark park - description: Depreciating on May 20, 2021 + description: Archived v0.1.0: type: array items: From 2b5c757ff3cd2f3e70466bf93e0090b11460a189 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:36:04 +0530 Subject: [PATCH 4698/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 20cdb2eee..740329824 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -414,7 +414,7 @@ components: - type: string example: Published Date - May 21, 2021 x-details: Optimized release - description: Archived + description: Older Version v0.1.0: type: array items: From 883cd55ae3159f22e3d9b63055979fe470f02f8f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:36:22 +0530 Subject: [PATCH 4699/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 4ae4171a8..5b0909fcc 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -380,7 +380,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Archived + description: Older Version v1.0.0: type: array items: From 76d770b90f46da8ba58705de6665d72d2ce1eade Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:36:40 +0530 Subject: [PATCH 4700/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 5f1724431..165f6fc3a 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -374,7 +374,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Archived + description: Older Version v1.0.0: type: array items: From 9391767fdd4a0e4dd12994eb742926791afea559 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:36:56 +0530 Subject: [PATCH 4701/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 114ea8cc7..bc0af63aa 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -380,7 +380,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Archived + description: Older Version v1.0.0: type: array items: From d377ac01d7cf5d677dcb8e530a312cd08593baba Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:41:52 +0530 Subject: [PATCH 4702/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index 70f1005cd..d0f349765 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -26,7 +26,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[{"range":{"timestamp":{"gte":"2021-02-05T12:50:00.000Z", "lte":"2021-02-05T12:51:00.000Z"}}}]} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -41,15 +41,15 @@ info: x-apidetailsdesc: |+ Provides information on Ishikawajima-Harima Heavy Industries. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 01, 2022" +- name: "v0.1.1" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ihidata/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -344,7 +344,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Initial version release + description: Latest Version v0.1.0: type: array items: @@ -352,7 +360,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Latest Version + description: Older Version input: type: object properties: From 0513dcffad98691b78e650182d32b1bc4e6a7d34 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:43:30 +0530 Subject: [PATCH 4703/5916] Update lta_car_park_availability_historical.yaml --- .../lta_car_park_availability_historical.yaml | 22 +++++++++++++------ 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 907734550..3c576d4a3 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -31,7 +31,7 @@ info: **Last Updated Data in Time Limit:** > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-26T17:00:00","lte": "2021-11-26T18:00:00"}}}]} - version: '0.1.1' + version: '0.1.2' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -46,15 +46,15 @@ info: x-apidetailsdesc: |+ Provides number of available lots within Singapore's Housing Development Board. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - May 05, 2022" +- name: "v0.1.2" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ltacarparkhistorical/v0/getdata: post: tags: - - v0.1.1 + - v0.1.2 responses: '200': description: Ok @@ -412,7 +412,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Default limit changed + description: Latest Version v0.1.1: type: array items: @@ -420,7 +428,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Latest Version + description: Older Version v0.1.0: type: array items: From b593c8531563b98cda54119d7bd80ec9d23900c7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:44:25 +0530 Subject: [PATCH 4704/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index 2ab148715..e2f249cd2 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -22,7 +22,7 @@ info: > {"bool":{"must_not":[{"match":{"alarmid":"GL703034136"}}]}} > {"bool":{"must":[{"match":{"alarmid":"GL703034136"}}]}} > {"bool":{"should":[{"match":{"alarmid":"GL703034136"}},{"match":{"alarmid":"GL743034172"}}]}} - version: '0.1.1' + version: '0.1.2' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -37,15 +37,15 @@ info: x-apidetailsdesc: |+ Provides alerts of traffic lights that are currently faulty. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - May 05, 2022" +- name: "v0.1.2" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ltafaultytrafficlights/v0/getdata: post: tags: - - v0.1.1 + - v0.1.2 responses: '200': description: Ok @@ -305,7 +305,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Default limit changed + description: Latest Version v0.1.1: type: array items: @@ -313,7 +321,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Latest Version + description: Older Version v0.1.0: type: array items: From 1770b511702a153da34ec8cc42ba3f96a7712d0b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:45:34 +0530 Subject: [PATCH 4705/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 646240eb0..a3b2c65f8 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -23,7 +23,7 @@ info: > {"bool":{"must_not":[{"match":{"day_type":"WEEKDAY"}}]}} > {"bool":{"must":[{"match":{"day_type":"WEEKDAY"}}]}} > {"bool":{"should":[{"match":{"day_type":"WEEKDAY"}}]}} - version: '0.1.1' + version: '0.1.2' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -38,15 +38,15 @@ info: x-apidetailsdesc: |+ Provides tap in and tap out passenger volume by weekdays and weekends for individual bus stop. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - May 05, 2022" +- name: "v0.1.2" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ltapvbus/v0/getdata: post: tags: - - v0.1.1 + - v0.1.2 responses: '200': description: Ok @@ -314,7 +314,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - May 05, 2022 + x-details: Default limit changed + description: Latest Version v0.1.1: type: array items: @@ -322,7 +330,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Latest Version + description: Older Version v0.1.0: type: array items: From b3466d74da7bb6d55c0db31096d830aa5482e031 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:46:36 +0530 Subject: [PATCH 4706/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index 950790e84..21f23f8e0 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -23,7 +23,7 @@ info: > {"bool":{"must":[{"match":{"road_name":"arthur"}}]}} > {"bool":{"should":[{"match":{"road_name":"arthur"}}]}} - version: '0.1.1' + version: '0.1.2' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -38,15 +38,15 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - May 05, 2022" +- name: "v0.1.2" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ltaroadworks/v0/getdata: post: tags: - - v0.1.1 + - v0.1.2 responses: '200': description: Ok @@ -310,7 +310,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Default limit changed + description: Latest Version v0.1.1: type: array items: @@ -318,7 +326,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Latest Version + description: Older Version v0.1.0: type: array items: From 6b6047e7c50e6e02cd6b9f51c7c65065f8438b67 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:47:33 +0530 Subject: [PATCH 4707/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index f2bc3abe2..76ac18706 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -35,7 +35,7 @@ info: Traffic images are stored in GCS location. To access the image need to generate the presigned URL. **End Point** - https://apis.sentient.io/microservices/data/ltapresignedurl/v0/getdata **Input Example** - {"image_link": "gs://lta_data_prod/trafficimages/1501_20211022_194451.jpg"} - version: '0.1.1' + version: '0.1.2' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -50,15 +50,15 @@ info: x-apidetailsdesc: |+ Provides links to images of live traffic conditions. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - May 05, 2022" +- name: "v0.1.2" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ltatrafficimagesv2/v0/getdata: post: tags: - - v0.1.1 + - v0.1.2 responses: '200': description: Ok @@ -315,7 +315,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Default limit changed + description: Latest Version v0.1.1: type: array items: @@ -323,7 +331,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Latest Version + description: Older Version v0.1.0: type: array items: From bf1c1ab9a916f6fb4465f9a067c7f72b418d5bfc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:48:16 +0530 Subject: [PATCH 4708/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index e10b3c6dc..c898f8764 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -27,7 +27,7 @@ info: **Aggregations Request Data:** > {"limit":10,"offset":0,"aggregation":true,"filter":[{"match_phrase":{"type":"Roadwork"}}]} - version: '0.1.1' + version: '0.1.2' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -42,15 +42,15 @@ info: x-apidetailsdesc: |+ Provides real time incidents on the roads. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - May 05, 2022" +- name: "v0.1.2" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ltatrafficincidents/v0/getdata: post: tags: - - v0.1.1 + - v0.1.2 responses: '200': description: Ok @@ -359,7 +359,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Default limit changed + description: Latest Version v0.1.1: type: array items: @@ -367,7 +375,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Latest Version + description: Older Version v0.1.0: type: array items: From 5dc45b7857577092bd600ae3514a2aef76b0c428 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:49:04 +0530 Subject: [PATCH 4709/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 22 +++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index b46345ea6..95dace947 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -31,7 +31,7 @@ info: **Last Updated Data in Time Limit:** > {"limit":10,"offset":0,"collapse":true,"filter":[{"range": {"lastupdated": {"gte": "2021-11-28T01:00:00","lte": "2021-11-28T18:00:00"}}}]} - version: '0.1.1' + version: '0.1.2' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -46,15 +46,15 @@ info: x-apidetailsdesc: |+ Provides current traffic speeds. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - May 05, 2022" +- name: "v0.1.2" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ltaspeedbandhistorical/v0/getdata: post: tags: - - v0.1.1 + - v0.1.2 responses: '200': description: Ok @@ -435,7 +435,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Default limit changed + description: Latest Version v0.1.1: type: array items: @@ -443,7 +451,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Latest Version + description: Older Version v0.1.0: type: array items: From 267d9a42ccea13ad3a6e6ebbcb8a0b4f9088f4c1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:50:00 +0530 Subject: [PATCH 4710/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index 58043f31e..8bf741869 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -25,7 +25,7 @@ info: > {"bool":{"must":[{"message":"HEAVY VEHICLES"}}]}} > {"bool":{"should":[{"message":"HEAVY VEHICLES"}}]}} - version: '0.1.1' + version: '0.1.2' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -40,15 +40,15 @@ info: x-apidetailsdesc: |+ Provides traffic advisories. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - May 05, 2022" +- name: "v0.1.2" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/ltavms/v0/getdata: post: tags: - - v0.1.1 + - v0.1.2 responses: '200': description: Ok @@ -304,7 +304,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.2: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Default limit changed + description: Latest Version v0.1.1: type: array items: @@ -312,7 +320,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Latest Version + description: Older Version v0.1.0: type: array items: From 3bf2c3bc987e26bfc8443c46139a6999d5fa6560 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:51:31 +0530 Subject: [PATCH 4711/5916] Update realtime_weather.yaml --- data/realtime_weather.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/realtime_weather.yaml b/data/realtime_weather.yaml index e00f2d1df..fda58fd90 100644 --- a/data/realtime_weather.yaml +++ b/data/realtime_weather.yaml @@ -7,7 +7,7 @@ info: Current object contains current or realtime weather information for a given city. - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | String /Call @@ -22,15 +22,15 @@ info: x-apidetailsdesc: |+ Provides up to date current weather information. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Feb 28, 2021" +- name: "v0.1.1" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/weather/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -382,7 +382,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Initial version release + description: Latest Version v0.1.0: type: array items: @@ -390,7 +398,7 @@ components: - type: string example: Published Date - Feb 28, 2021 x-details: Initial version release - description: Latest Version + description: Older Version input: type: object required: From a0a4a347d4218d0790867dea59901f3181dab0d5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:53:15 +0530 Subject: [PATCH 4712/5916] Update residential_sales_and_rental_hdb_sg.yaml --- data/residential_sales_and_rental_hdb_sg.yaml | 20 +++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/data/residential_sales_and_rental_hdb_sg.yaml b/data/residential_sales_and_rental_hdb_sg.yaml index 339fa3037..7e8525850 100644 --- a/data/residential_sales_and_rental_hdb_sg.yaml +++ b/data/residential_sales_and_rental_hdb_sg.yaml @@ -80,7 +80,7 @@ info: > filterdata = {"filter":[{"match_phrase": {"street":"bishan street 24"}},{"range": {"4room_sold":{"gte":1}}}]} - version: '1.0.0' + version: '1.1.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -95,15 +95,15 @@ info: x-apidetailsdesc: |+ Provides comprehensive details of each Housing Development Board. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" +- name: "v1.1.0" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/buildinginfo/v1/getdata: get: tags: - - v1.0.0 + - v1.1.0 parameters: - in: query name: querystring @@ -509,6 +509,14 @@ components: versions: type: object properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30,2022 + x-details: Optimized release + description: Latest Version v1.0.0: type: array items: @@ -516,7 +524,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Latest Version + description: Older Version v0.1.0: type: array items: From cf46cfe352e6c07f25bae339fc25dd8402fdee8e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:54:35 +0530 Subject: [PATCH 4713/5916] Update season_parking_availability_hdb_sg.yaml --- data/season_parking_availability_hdb_sg.yaml | 22 +++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/season_parking_availability_hdb_sg.yaml b/data/season_parking_availability_hdb_sg.yaml index cac5e8c64..1a386ae66 100644 --- a/data/season_parking_availability_hdb_sg.yaml +++ b/data/season_parking_availability_hdb_sg.yaml @@ -78,7 +78,7 @@ info: > filterdata = {"filter":[{"match":{"street":"serangoon north avenue 4"}},{"match":{"block":"503"}},{"match":{"vehicle_type":"H"}}]} - version: '1.0.0' + version: '1.1.0' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -93,15 +93,15 @@ info: x-apidetailsdesc: |+ Provides season car park availability within Housing Development Board. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - May 21, 2021" +- name: "v1.1.0" + description: "Published Date - Jun 30,2022" paths: /microservices/data/carparkavailability/v1/getdata: get: tags: - - v1.0.0 + - v1.1.0 parameters: - in: query name: querystring @@ -442,7 +442,15 @@ components: example: Failure versions: type: object - properties: + properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30,2022 + x-details: Optimized release + description: Latest Version v1.0.0: type: array items: @@ -450,7 +458,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Latest Version + description: Older Version v0.1.0: type: array items: From 425ee8c45ba274b8e414868d94cbde7ea623eaf3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 15:55:26 +0530 Subject: [PATCH 4714/5916] Update train_stations_sg.yaml --- data/train_stations_sg.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/data/train_stations_sg.yaml b/data/train_stations_sg.yaml index 9a5f5a8cd..e1803b0cc 100644 --- a/data/train_stations_sg.yaml +++ b/data/train_stations_sg.yaml @@ -17,7 +17,7 @@ info: > {"geo_distance": {"distance": "1km","location": "1.3138,103.8456"}} * **exists** - Returns results that contain any indexed value for a field > {"exists":{"field":"station_name"}} - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -32,15 +32,15 @@ info: x-apidetailsdesc: |+ Provides results for all train stations in Singapore. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Oct 29, 2021" +- name: "v0.1.1" + description: "Published Date - Jun 30, 2022" paths: /microservices/data/sgmrtlrt/v0/getdata: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: Ok @@ -324,7 +324,15 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30,2022 + x-details: Initial version release + description: Latest Version v0.1.0: type: array items: @@ -332,7 +340,7 @@ components: - type: string example: Published Date - Oct 29, 2021 x-details: Initial version release - description: Latest Version + description: Older Version input: type: object properties: From b1f85a19f07e297af7cb0c7c39996450a09558f9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 16:28:20 +0530 Subject: [PATCH 4715/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index fccac6073..021f28953 100644 --- a/index.yaml +++ b/index.yaml @@ -390,7 +390,7 @@ data: directory_of_singapore_startups: title: Directory of Singapore Startups versions: - 1.0.0: 'directory_of_singapore_startups.yaml' + 1.1.0: 'directory_of_singapore_startups.yaml' fitness_stations_and_playgrounds_hdb_sg: title: HDB Fitness Stations and Playgrounds (SG) versions: From a13ace44d8db3dabdf66846527e4087c0e3aeb91 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 16:32:13 +0530 Subject: [PATCH 4716/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index a3b2c65f8..61ab54daa 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -320,7 +320,7 @@ components: items: oneOf: - type: string - example: Published Date - May 05, 2022 + example: Published Date - Jun 30, 2022 x-details: Default limit changed description: Latest Version v0.1.1: From 2b2fde96e0e2dda661784aec9251285adc35a44a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 16:46:35 +0530 Subject: [PATCH 4717/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index 71c72af58..3c284a273 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -456,7 +456,7 @@ components: versions: type: object properties: - v1.0.0: + v1.1.0: type: array items: oneOf: From a8e83741bf2883cdcde5bef69afd1bb0d842f489 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 23 Jun 2022 16:47:29 +0530 Subject: [PATCH 4718/5916] Update directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index 969781664..6fa52239a 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -537,7 +537,7 @@ components: versions: type: object properties: - v1.0.0: + v1.1.0: type: array items: oneOf: From 5add2ecafeba95c75aaec7c87e2aab45c248bc6f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 23 Jun 2022 17:20:17 +0530 Subject: [PATCH 4719/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index e27c1b7b3..f662799a5 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -457,7 +457,7 @@ components: x-name: output_thumbnails type: number default: False - example: 1 + example: 45 description: |+ Number of output thumbnail images. Between 1 and 20. Default value is 1. file_type: From 23287c85a45a02cffb67797805fe2e7488a1ffd1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 12:47:26 +0530 Subject: [PATCH 4720/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index 4d46d71e1..838b87b78 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - As a post-processor for microservices that only outputs Base64 encoded text - version: '0.1.0' + version: '0.2.0' x-subscribelink: base64_decoder x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Jan 17, 2022" +- name: "v0.2.0" + description: "Published Date - Jun 30, 2022" paths: /microservices/utility/base64decode/v0/getresults: post: tags: - - "0.1.0" + - "0.2.0" responses: '200': description: success response @@ -205,6 +205,14 @@ components: versions: type: object properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Fast api conversion + description: Latest Version v0.1.0: type: array items: @@ -212,7 +220,7 @@ components: - type: string example: Published Date - Jan 17, 2022 x-details: On Prem Setup Added - description: Latest Version + description: Old Version v0.0.1: type: array items: From 556f1248821822e4ad7756358e08dbcbec5c2b9e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 12:47:53 +0530 Subject: [PATCH 4721/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index 838b87b78..62d88143b 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -22,7 +22,7 @@ info: x-apidetailsdesc: |+ Convert Base64 encoded text string to binary file. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Jun 30, 2022" From 968d8d94a9b6e8d8cafe29dd1ab6cbdda962241b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 12:48:46 +0530 Subject: [PATCH 4722/5916] Rename base64_file_encode.yaml to base64_file_encode_v0.1.yaml --- utility/{base64_file_encode.yaml => base64_file_encode_v0.1.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename utility/{base64_file_encode.yaml => base64_file_encode_v0.1.yaml} (100%) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode_v0.1.yaml similarity index 100% rename from utility/base64_file_encode.yaml rename to utility/base64_file_encode_v0.1.yaml From a7ec1a386866db4a3014972430af3937819e22c3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 12:51:15 +0530 Subject: [PATCH 4723/5916] Create base64_file_encode.yaml --- utility/base64_file_encode.yaml | 269 ++++++++++++++++++++++++++++++++ 1 file changed, 269 insertions(+) create mode 100644 utility/base64_file_encode.yaml diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml new file mode 100644 index 000000000..d0c229a03 --- /dev/null +++ b/utility/base64_file_encode.yaml @@ -0,0 +1,269 @@ +openapi: 3.0.1 +info: + title: Base64 Encoder + description: |+ + This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive, and font files. See documentation for the detailed list of supported file formats. + User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML). + For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decoder microservice. + x-additionalinfo: |+ + Suggested Use Cases: + - As a pre-processor for microservices that only takes in Base64 inputs + version: '1.0.0' + x-subscribelink: base64_encoder + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + Convert binary file to Base64 encoded text string. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Jun 30, 2022" +paths: + /microservices/utility/base64encode/v1/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + base64: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '420': + description: Input Limit Exceeded + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '422': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + description: Input parameters

FieldType Description
filePathFileRequired. The file object
typeStringOptional. type of return data as xml/hyperlink/json/datauri/plaintext. plaintext is default if none selected


+ content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + # required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + base64: + type: string + description: Base64 encoded text converted to the requested output format. + example: /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAMCAggIBQUICAUGBQUGBgYGBgUFBQYGBgYGBgYGBgYGBgYGBQYGBgYGBgYGBgoGBgcICQkJBgYLDgoIDQYICQgBAwQEBgUGCAYGCAgHBwcICAgICAgBAABAgMFBgcECP.... + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - file_path + properties: + file_path: + type: string + format: binary + example: sample.txt + default: true + description: The file path that describes the location of the file to be converted. + format: + type: string + example: "xml" + default: false + description: |+ + The output format. Possible values are: + 1. plaintext (default) + 2. json + 3. hyperlink + 4. datauri + 5. xml + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Input field update and fast conversion + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 17, 2022 + x-details: On Prem Setup Added + description: Old Version + v0.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 30,2020 + x-details: Initial version release + description: Archived + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 0c305bf7e869485abd4de2fb2b8b74233b0c2e1a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 12:51:47 +0530 Subject: [PATCH 4724/5916] Update base64_file_encode_v0.1.yaml --- utility/base64_file_encode_v0.1.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/utility/base64_file_encode_v0.1.yaml b/utility/base64_file_encode_v0.1.yaml index 222c203df..6e3d0abe8 100644 --- a/utility/base64_file_encode_v0.1.yaml +++ b/utility/base64_file_encode_v0.1.yaml @@ -236,6 +236,14 @@ components: versions: type: object properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Input field update and fast conversion + description: Latest Version v0.1.0: type: array items: From 44331a956b21dc7d6519822652167d4b08d5c78f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 12:54:14 +0530 Subject: [PATCH 4725/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 2e6b3c8ff..cf320652a 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '2.0.0' + version: '2.1.0' x-subscribelink: csv-json_convertor x-apitype: small file x-apitypedescription: |+ @@ -26,13 +26,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - May 16, 2022" +- name: "v2.1.0" + description: "Published Date - Jun 30, 2022" paths: /microservices/utility/csvtojson/v2/getresults: post: tags: - - v2.0.0 + - v2.1.0 responses: '200': description: Ok @@ -203,7 +203,15 @@ components: example: Failure versions: type: object - properties: + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Fast api conversion. + description: Latest Version v2.0.0: type: array items: @@ -211,7 +219,7 @@ components: - type: string example: Published Date - May 16, 2022 x-details: Input parameter changed to standard. - description: Latest Version + description: Old Version v1.0.0: type: array items: From 9c0182f494f1dab10b94aef2a755147dd2397836 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 12:58:21 +0530 Subject: [PATCH 4726/5916] Update and rename document_conversion_eng.yaml to document_conversion_eng_v1.0.yaml --- ...version_eng.yaml => document_conversion_eng_v1.0.yaml} | 8 ++++++++ 1 file changed, 8 insertions(+) rename utility/{document_conversion_eng.yaml => document_conversion_eng_v1.0.yaml} (94%) diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng_v1.0.yaml similarity index 94% rename from utility/document_conversion_eng.yaml rename to utility/document_conversion_eng_v1.0.yaml index bbdb18e34..40a7d5845 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng_v1.0.yaml @@ -212,6 +212,14 @@ components: versions: type: object properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Input parameter standard and fast api conversion + description: Latest Version v1.0.0: type: array items: From 16eb7be38fdb011b1079565267847ea0f28e8f2f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 12:58:54 +0530 Subject: [PATCH 4727/5916] Create document_conversion_eng.yaml --- utility/document_conversion_eng.yaml | 257 +++++++++++++++++++++++++++ 1 file changed, 257 insertions(+) create mode 100644 utility/document_conversion_eng.yaml diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml new file mode 100644 index 000000000..6aa339aec --- /dev/null +++ b/utility/document_conversion_eng.yaml @@ -0,0 +1,257 @@ +openapi: 3.0.1 +info: + title: Document Convertor ENG + description: |+ + This Utility microservice extracts the English text content of either an input of Microsoft Word, HTML or PDF document and outputs into a plain text format. + + The size of your document file **should not exceed 7 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the document can be used with a Voice microservice such as Text-to-Speech. + + - Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. + version: '2.0.0' + x-subscribelink: document_convertor_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 7MB/Call + x-inputfilelimit: |+ + Process up to 7 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 7 MB. + x-apidetailsdesc: |+ + Extracts text content from docx/text/pdf docs. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - Jun 30, 2022" +paths: + /microservices/utility/docconversion/v2/getresults: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: "\\n L 328/84 \\n Official Journal of the European Union \\n EN \\n + 18.12.2019 \\n DECISIONS \\n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \\n + of 16 December 2019 \\n amending Implementing Decision 2014/908/EU as regards the + inclusion of Serbia and South Korea in \\n the lists of third countries and + \ territories whose supervisory and regulatory requirements" + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' +components: + schemas: + success: + type: object + properties: + results: + type: string + example: \n L 328/84 \n Official Journal of the European Union \n EN \n 18.12.2019 \n DECISIONS \n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \n of 16 December 2019 \n amending Implementing Decision 2014/908/EU as regards the inclusion of Serbia and South Korea in \n the lists of third countries and territories whose supervisory and regulatory requirements + description: The result of the API call. + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Input paramater changes to standard and fast api conversion + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Change libary for PDF reader + description: Old Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 16, 2018 + x-details: Initial version release + description: Archived + input: + type: object + required: + - filePath + properties: + filePath: + type: string + format: binary + default: true + example: sample.txt + description: The file path that describes the location of the file to be converted. + Supported formats: docx, pdf, txt. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 8a598e09d77f3f2befd08c52943c52b6ae20cd00 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 13:01:12 +0530 Subject: [PATCH 4728/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index 88e6b1278..bfaba032c 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -7,7 +7,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of JSON into CSV spreadsheets like Google Sheets or Excel to analyze data without programming. - version: '2.0.0' + version: '2.1.0' x-subscribelink: json-csv_convertor x-apitype: small file x-apitypedescription: |+ @@ -25,13 +25,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - May 16, 2022" +- name: "v2.1.0" + description: "Published Date - Jun 30, 2022" paths: /microservices/utility/jsontocsv/v2/getresults: post: tags: - - v2.0.0 + - v2.1.0 responses: '200': description: Ok @@ -222,6 +222,14 @@ components: versions: type: object properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Input parameter changed to standard and fast api conversion + description: Latest Version v2.0.0: type: array items: From 31394ea9a3c81cf90126afa9277a96b12561499c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 13:03:05 +0530 Subject: [PATCH 4729/5916] Update urls_retrieval.yaml --- utility/urls_retrieval.yaml | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/utility/urls_retrieval.yaml b/utility/urls_retrieval.yaml index 1d8ac3631..a4eaf91a6 100644 --- a/utility/urls_retrieval.yaml +++ b/utility/urls_retrieval.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Use this microservice to update web content or indices of other sites' web content. - version: '0.2.1' + version: '0.3.0' x-subscribelink: urls_retrieval x-apitype: small file x-apitypedescription: |+ @@ -26,13 +26,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.2.1" - description: "Published Date - Dec 04, 2020" +- name: "v0.3.0" + description: "Published Date - Jun 30, 2022" paths: /microservices/utility/crawlurls/v0/getresults: post: tags: - - v0.2.1 + - v0.3.0 responses: '200': description: Ok @@ -236,6 +236,14 @@ components: versions: type: object properties: + v0.3.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Fast api conversion + description: Latest Version v0.2.1: type: array items: From fbefebd7e358eaaf093f29b28923d17828fc0269 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 13:04:29 +0530 Subject: [PATCH 4730/5916] Update and rename video-to-audio_converter.yaml to video-to-audio_converter_v0.1.yaml --- ..._converter.yaml => video-to-audio_converter_v0.1.yaml} | 8 ++++++++ 1 file changed, 8 insertions(+) rename utility/{video-to-audio_converter.yaml => video-to-audio_converter_v0.1.yaml} (94%) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter_v0.1.yaml similarity index 94% rename from utility/video-to-audio_converter.yaml rename to utility/video-to-audio_converter_v0.1.yaml index 71b5e11cf..c02639445 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter_v0.1.yaml @@ -238,6 +238,14 @@ components: versions: type: object properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 06, 2020 + x-details: Input parameter standard and fast api conversion + description: Latest Version v0.1.0: type: array items: From 957bfbea5c8e00bbcab513670d1845fdf03237ce Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 24 Jun 2022 13:06:05 +0530 Subject: [PATCH 4731/5916] Create video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 263 ++++++++++++++++++++++++++ 1 file changed, 263 insertions(+) create mode 100644 utility/video-to-audio_converter.yaml diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml new file mode 100644 index 000000000..80de850fc --- /dev/null +++ b/utility/video-to-audio_converter.yaml @@ -0,0 +1,263 @@ +openapi: 3.0.1 +info: + title: Video-To-Audio Converter + description: |+ + This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format. + + The size of your video file **should not exceed 10 MB**. + version: '1.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - For building applications that extracts audio from videos in batches. Users can further pipe the audio into microservices involving ASR for further transciption. + x-subscribelink: video-to-audio_converter + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 10 MB of Video file. + x-apidetailsdesc: |+ + Extract audio from video file. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Jun 30, 2022" +paths: + /microservices/utility/videotoaudio/v1/getresults: + post: + tags: + - v1.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + AudioContent: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + description: Input parameters

FieldType Description
filePathFileRequired. The file object
Maximum file size up to - 3.5MB
samplerateStringOptional. Sample rate of the audio file in Hz
channelStringOptional. Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo)


+ content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + # required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + AudioContent: + type: string + description: Audio file converted to base64 encoded string. + example: UklGRoboDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjAuMTAwAGRhdGFA6A4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.... + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - file_path + properties: + file_path: + type: string + format: binary + example: sample.mp4 + default: true + description: The file path that describes the location of the file to be converted. + Supported formats: 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v. + samplerate: + type: integer + format: int32 + example: "16000" + default: false + description: Sample rate of the audio file in Hz. There is no set Hz range. Note that decimals and negative values are not supported. + channel: + type: integer + format: int32 + example: "1" + default: false + description: Indicates the type of audio channel. Value must be 1 for mono or 2 for Stereo. Default is 2(Stereo) + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 30, 2022 + x-details: Input parameter standard and fast api conversion + description: Latest Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 06, 2020 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 52ab3b4dc4957f69e5725d9e49a3770031afc160 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Sat, 25 Jun 2022 12:53:48 +1000 Subject: [PATCH 4732/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index e1a34bf82..056f11028 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -5,7 +5,7 @@ info: Foretell Prediction API will return the predicted value of a time series together with the RMSE, MAE, and MAPE of the prediction. version: '0.1.0' x-additionalinfo: |+ - - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. + - This microservice consists of different types of Fortell Pridication APIs. - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/foretell_prediction.yaml x-subscribelink: foretellprediction x-apitype: Subscription @@ -544,7 +544,7 @@ components: num_harmonics: type: number description: |+ - Harmonic number (parameter tuning for FFT). Optional parameter. The default value is 10. + Harmonic number (parameter tuning for FFT). Optional parameter. The default number of the harmonics will be calculated based on the number of time series data and will be returned after the successful API request to the user. example: 10 arimainput: type: object From 45d8c770a738147b64cb90d7a3281780fb607c46 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Sat, 25 Jun 2022 12:54:49 +1000 Subject: [PATCH 4733/5916] Update foretell_profiling.yaml --- analytics/foretell_profiling.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_profiling.yaml b/analytics/foretell_profiling.yaml index 408289582..7eaaae68d 100644 --- a/analytics/foretell_profiling.yaml +++ b/analytics/foretell_profiling.yaml @@ -5,7 +5,7 @@ info: Foretell Profiling API will take a time series data and process it to give response of its classification, change point, and predictability score. The period of each data point of the time series data input is to be determined by the client. version: '0.1.0' x-additionalinfo: |+ - - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. + - This microservice consists of different types of Fortell Profiling APIs. - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/foretell_profiling.yaml x-subscribelink: foretellprofiling x-apitype: Subscription From cf55a77d53565adb2a505de7c9f49d860c43b413 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Sat, 25 Jun 2022 12:55:14 +1000 Subject: [PATCH 4734/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index 056f11028..cf4301dbf 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -5,7 +5,7 @@ info: Foretell Prediction API will return the predicted value of a time series together with the RMSE, MAE, and MAPE of the prediction. version: '0.1.0' x-additionalinfo: |+ - - This microservice consists of different types of Fortell Pridication APIs. + - This microservice consists of different types of Fortell Prediction APIs. - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/foretell_prediction.yaml x-subscribelink: foretellprediction x-apitype: Subscription From a22e347e2192d39c33ae3d5ac356549cc75b34ce Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 27 Jun 2022 08:43:53 +0530 Subject: [PATCH 4735/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index cf320652a..d65a0c595 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Converts CSV file to JSON format. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Jun 30, 2022" From 6a21e31cb20acffc9fec93142be0d4ff338b8dbb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 27 Jun 2022 08:44:45 +0530 Subject: [PATCH 4736/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index bfaba032c..ac27af8dd 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -23,7 +23,7 @@ info: x-apidetailsdesc: |+ Converts Json file to CVS file. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Jun 30, 2022" From 827c9e0a8e2b3859b3d13472c760859a93e4af82 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 27 Jun 2022 08:45:09 +0530 Subject: [PATCH 4737/5916] Update urls_retrieval.yaml --- utility/urls_retrieval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/urls_retrieval.yaml b/utility/urls_retrieval.yaml index a4eaf91a6..6d7e5fba3 100644 --- a/utility/urls_retrieval.yaml +++ b/utility/urls_retrieval.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Crawls and Retrieves content from the input URLs servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.3.0" description: "Published Date - Jun 30, 2022" From fdd28b492388683845db11e96aaae788e9c3019e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 27 Jun 2022 08:45:27 +0530 Subject: [PATCH 4738/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index 80de850fc..f7d3198fe 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Extract audio from video file. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Jun 30, 2022" From 0ea6be8c122068f60a32c9e9ba168969a3614ee1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 27 Jun 2022 08:56:36 +0530 Subject: [PATCH 4739/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 8de6a0f1e..46ef36df8 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Speaker Emotion Recognition description: |+ - This Voice microservice takes in an audio file (in WAV format at 16kHz) and return the emotional feeling of voice. + This Voice microservice takes in an audio file and return the emotional feeling of voice. This api supports upto 30 seconds audio file only. version: '0.1.0' From eacf3c4a2de6591a02c922ddb38e2d4ec9c3d3c2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 27 Jun 2022 09:08:41 +0530 Subject: [PATCH 4740/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 46ef36df8..1e66473e5 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -4,27 +4,27 @@ info: description: |+ This Voice microservice takes in an audio file and return the emotional feeling of voice. - This api supports upto 30 seconds audio file only. + This api supports upto 50 seconds audio file only. version: '0.1.0' x-apitype: small file x-subscribelink: speaker_emotion_recognition x-apitypedescription: |+ - Fast | Single-Call | 30 sec/Call + Fast | Single-Call | 50 sec/Call x-inputfilelimit: |+ - Process up to 30 seconds (1 minute) of audio file. + Process up to 50 seconds (1 minute) of audio file. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 30 seconds (1 minute). + Limit cannot exceed 50 seconds (1 minute). x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 23, 2022" + description: "Published Date - Jun 27, 2022" paths: /microservices/voice/speakeremotion/v0/get_emotion: post: @@ -259,7 +259,7 @@ components: default: true example: sample.wav description: |+ - Maximum Limit upto 30 seconds of audio wav file. + Maximum Limit upto 50 seconds of audio wav file. versions: type: object properties: @@ -268,7 +268,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 23, 2022 + example: Published Date - Jun 27, 2022 x-details: Initial version release description: Initial Version securitySchemes: From 7bda3a186a6f498f0bb01e130297bc2faab29f7f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 27 Jun 2022 10:46:41 +0530 Subject: [PATCH 4741/5916] Update foretell_profiling.yaml --- analytics/foretell_profiling.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_profiling.yaml b/analytics/foretell_profiling.yaml index 7eaaae68d..ef0417d9c 100644 --- a/analytics/foretell_profiling.yaml +++ b/analytics/foretell_profiling.yaml @@ -103,7 +103,7 @@ paths: schema: $ref: '#/components/schemas/classificationinput' required: true - /microservices/analytics/foretellprofiling/v0/cpd: + /microservices/analytics/foretellprofiling/v0/changepoint: description: |+ The change point detection API will return the index of the time series data where the change point is occurred. post: From 93bf2d7be16afe6d24a2c6a9377a4a347955a9ec Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 27 Jun 2022 13:21:46 +0530 Subject: [PATCH 4742/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index 48bd81100..2b023e1e9 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -146,7 +146,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/voice/asrsch/v0/getstatus: + /async/microservices/voice/nsd/v0/getstatus: description: |+ Query for processing status. get: From e3ef5d6ccb7987b0439d3cbf937b5a462751d6d3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 28 Jun 2022 15:33:30 +0530 Subject: [PATCH 4743/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index f662799a5..80ae00906 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -146,7 +146,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/voice/asrsch/v0/getstatus: + /async/microservices/cv/thumbnailgeneration/v0/getstatus: description: |+ Query for processing status. get: From c2cf0d181b6d2386bf39f3eec78a1d209afcb698 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Jun 2022 08:46:47 +0530 Subject: [PATCH 4744/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 80ae00906..2b35fafa5 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -3,22 +3,21 @@ info: title: Thumbnail Generation (Large File) description: |+ This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video. Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis. - The size of your video file should not exceed 10MB version: '0.1.0' x-subscribelink: thumbnail_generation x-apitype: large file x-apitypedescription: |+ - Asyncronous | Batch | 1GB/File. + Asyncronous | Batch | 2GB/File. x-inputfilelimit: |+ - Process up to 1 GB of File Size. + Process up to 2 GB of File Size. x-responsetime: |+ The response rate is slower than the small file API due to large data. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ - Size cannot exceed 1 GB. + Size cannot exceed 2 GB. x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: @@ -50,7 +49,7 @@ paths: x-goog-algorithm: GOOG4-RSA-SHA256 x-goog-credential: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request x-goog-date: 20220224T062321Z - x-goog-meta-additional_param: "{\"output_type\": \"jpeg\", \"output_thumbnails\": 1, \"file_type\": \"m4v\", \"output_width\": 360}" + x-goog-meta-additional_param: "{\"output_type\": \"jpeg\", \"output_thumbnails\": 4, \"file_type\": \"m4v\", \"output_width\": 360}" x-goog-meta-oid: '309' x-goog-meta-uid: '495' x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 From 647aebcb453854e93374d2a3432a76f128f59af5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Jun 2022 08:49:57 +0530 Subject: [PATCH 4745/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 2b35fafa5..3a989613f 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -24,7 +24,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 09, 2022" + description: "Published Date - Jun 30, 2022" paths: /async/microservices/cv/thumbnailgeneration/v0/getuploadurl: description: |+ @@ -409,7 +409,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 06, 2022 + example: Published Date - Jun 30, 2022 x-details: Initial version release description: Latest Version input: @@ -431,7 +431,7 @@ components: default: true example: 4746636 description: |+ - Size of the file. Maximum size should be 1 GB. + Size of the file. Maximum size should be 2 GB. content_type: x-name: content_type type: string From f5cf597874225e95c315487cd551ad2840a46443 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 30 Jun 2022 09:48:09 +0530 Subject: [PATCH 4746/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 3a989613f..92c7182aa 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -436,7 +436,7 @@ components: x-name: content_type type: string default: true - example: 'audio/wav' + example: 'video/x-m4v' description: |+ Specify the content-type. Pick any one from below list based on input file type. video - ["video/x-m4v", "video/mp4", From 596aa095d7213f258daa3086c8c4a7d1f621a3cf Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 1 Jul 2022 13:56:57 +0800 Subject: [PATCH 4747/5916] text sum version changed from 1.2 to 1.0 --- index.yaml | 2 +- nlp/text_summarization.yaml | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/index.yaml b/index.yaml index 021f28953..9f2a3d8ab 100644 --- a/index.yaml +++ b/index.yaml @@ -177,7 +177,7 @@ nlp: text_summarization: title: Text Summarization versions: - 1.2.0: 'text_summarization.yaml' + 1.0.0: 'text_summarization.yaml' 0.2.0: 'text_summarization_v0.2.yaml' text_summarization_large_file: title: Text Summarization (Large File) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 31d70a3f0..dca6a9634 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -7,7 +7,7 @@ The input text should be a minimum of 100 words and a maximum of 512 words. For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. - version: '1.2.0' + version: '1.0.0' x-subscribelink: text_summarization x-apitype: small file x-apitypedescription: |+ @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - - name: "v1.2.0" + - name: "v1.0.0" description: "Published Date - May 24, 2022" paths: /microservices/nlp/textsummarisation/v1/getpredictions: @@ -215,7 +215,7 @@ versions: type: object properties: - v1.2.0: + v1.0.0: type: array items: oneOf: From 2d32afdbb0238e8046cc6819a5f8f359ec7d2211 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 1 Jul 2022 15:19:46 +0530 Subject: [PATCH 4748/5916] Update index.yaml --- index.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index 9f2a3d8ab..ba4ae6b79 100644 --- a/index.yaml +++ b/index.yaml @@ -279,7 +279,7 @@ utility: video-to-audio_converter: title: Video-To-Audio Convertor versions: - 0.1.0: 'video-to-audio_converter.yaml' + 1.0.0: 'video-to-audio_converter.yaml' web_scraper: title: Web Scraper versions: @@ -288,7 +288,8 @@ utility: document_convertor_eng: title: Document Convertor ENG versions: - 1.0.0: 'document_conversion_eng.yaml' + 2.0.0: 'document_conversion_eng.yaml' + 1.0.0: 'document_conversion_eng_v1.0.yaml' pdf_extractor: title: PDF Extractor versions: @@ -349,7 +350,7 @@ utility: base64_file_decode: title: Base64 Decoder versions: - 0.1.0: 'base64_file_decode.yaml' + 1.0.0: 'base64_file_decode.yaml' get_ip: title: Get IP versions: From 9ac5cf575d0e4483a3235d61c4769b66831f838a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 1 Jul 2022 15:33:39 +0530 Subject: [PATCH 4749/5916] Update index.yaml --- index.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index ba4ae6b79..356903281 100644 --- a/index.yaml +++ b/index.yaml @@ -280,6 +280,7 @@ utility: title: Video-To-Audio Convertor versions: 1.0.0: 'video-to-audio_converter.yaml' + 0.1.0: 'video-to-audio_converter_v0.1.yaml' web_scraper: title: Web Scraper versions: @@ -346,7 +347,8 @@ utility: base64_file_encode: title: Base64 Encoder versions: - 0.1.0: 'base64_file_encode.yaml' + 1.0.0: 'base64_file_encode.yaml' + 0.1.0: 'base64_file_encode_v0.1.yaml' base64_file_decode: title: Base64 Decoder versions: From e8e41685140ff35f463bd55d8ce33acfa0260a75 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 1 Jul 2022 15:39:21 +0530 Subject: [PATCH 4750/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index d65a0c595..a4c7cf997 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '2.1.0' + version: '2.0.0' x-subscribelink: csv-json_convertor x-apitype: small file x-apitypedescription: |+ @@ -26,13 +26,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.1.0" +- name: "v2.0.0" description: "Published Date - Jun 30, 2022" paths: /microservices/utility/csvtojson/v2/getresults: post: tags: - - v2.1.0 + - v2.0.0 responses: '200': description: Ok From 717facea9fa42666c44e7d6c247c53b8b71b7a15 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 1 Jul 2022 15:40:25 +0530 Subject: [PATCH 4751/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index ac27af8dd..f5d2983be 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -7,7 +7,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of JSON into CSV spreadsheets like Google Sheets or Excel to analyze data without programming. - version: '2.1.0' + version: '2.0.0' x-subscribelink: json-csv_convertor x-apitype: small file x-apitypedescription: |+ @@ -25,13 +25,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.1.0" +- name: "v2.0.0" description: "Published Date - Jun 30, 2022" paths: /microservices/utility/jsontocsv/v2/getresults: post: tags: - - v2.1.0 + - v2.0.0 responses: '200': description: Ok From 17c830cc3c360105ce58aafc1ba16f22de844dd2 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 4 Jul 2022 16:55:44 +0800 Subject: [PATCH 4752/5916] Changed version of old text summarisation yaml from 1.2.0 to 0.2.0 which was modified by mistake --- nlp/text_summarization_v0.2.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/nlp/text_summarization_v0.2.yaml b/nlp/text_summarization_v0.2.yaml index 9655ee46a..b42c77664 100644 --- a/nlp/text_summarization_v0.2.yaml +++ b/nlp/text_summarization_v0.2.yaml @@ -7,7 +7,7 @@ The input text should be a minimum of 100 words and a maximum of 512 words. For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. - version: '1.2.0' + version: '0.2.0' x-subscribelink: text_summarization x-apitype: small file x-apitypedescription: |+ @@ -23,12 +23,12 @@ x-apidetailsdesc: |+ Input text blurb and generates a summary of up to a maximum of 168 words. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - - name: "v1.2.0" - description: "Published Date - May 24, 2022" + - name: "v0.2.0" + description: Published Date - Aug 11, 2021" paths: - /microservices/nlp/textsummarisation/v1/getpredictions: + /microservices/nlp/textsummarisation/v0/getpredictions: post: tags: - v0.2.0 From 61622ab21202fa1f5e8683f0655bf29bb8d4d20f Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 4 Jul 2022 17:00:25 +0800 Subject: [PATCH 4753/5916] fixed quotes issue in textsum yaml --- nlp/text_summarization_v0.2.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_v0.2.yaml b/nlp/text_summarization_v0.2.yaml index b42c77664..f29929fd4 100644 --- a/nlp/text_summarization_v0.2.yaml +++ b/nlp/text_summarization_v0.2.yaml @@ -26,7 +26,7 @@ - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" - description: Published Date - Aug 11, 2021" + description: "Published Date - Aug 11, 2021" paths: /microservices/nlp/textsummarisation/v0/getpredictions: post: From 5b6e04525ef8c794716694e00c727d2ae0cb99ce Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 5 Jul 2022 12:03:47 +1000 Subject: [PATCH 4754/5916] Update release date --- nlp/text_summarization.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index dca6a9634..8bae4b22f 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -26,7 +26,7 @@ - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - May 24, 2022" + description: "Published Date - Jul 8 , 2022" paths: /microservices/nlp/textsummarisation/v1/getpredictions: post: @@ -220,7 +220,7 @@ items: oneOf: - type: string - example: Published Date - May 24, 2022 + example: Published Date - Jul 8, 2022 x-details: Model & Code Upgrade description: Latest version v0.2.0: From 8e8d0c5532d8fe672a5148955bc7966e5e8f133f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 6 Jul 2022 08:55:00 +0530 Subject: [PATCH 4755/5916] Update video-to-audio_converter_v0.1.yaml --- utility/video-to-audio_converter_v0.1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/video-to-audio_converter_v0.1.yaml b/utility/video-to-audio_converter_v0.1.yaml index c02639445..267cbc4d5 100644 --- a/utility/video-to-audio_converter_v0.1.yaml +++ b/utility/video-to-audio_converter_v0.1.yaml @@ -243,7 +243,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 06, 2020 + example: Published Date - Jun 30, 2022 x-details: Input parameter standard and fast api conversion description: Latest Version v0.1.0: @@ -253,7 +253,7 @@ components: - type: string example: Published Date - Mar 06, 2020 x-details: Initial version release - description: Latest Version + description: Archived securitySchemes: APIAuthorizer: type: apiKey From 8eb337730e81989b0aa9012b97b586f825f3dc06 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 6 Jul 2022 08:55:08 +0530 Subject: [PATCH 4756/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index f7d3198fe..72412da34 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -253,7 +253,7 @@ components: - type: string example: Published Date - Mar 06, 2020 x-details: Initial version release - description: Latest Version + description: Archived securitySchemes: APIAuthorizer: type: apiKey From 09e5000ed8da8f5c9e3cbbe51d3d191d6b684785 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 6 Jul 2022 08:56:47 +0530 Subject: [PATCH 4757/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index bc0af63aa..56f734ff4 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -232,7 +232,6 @@ components: example: "156edd775b13856fc71" _score: type: number - type: format description: The document score for the search request. example: 0.5 _source: @@ -270,7 +269,7 @@ components: example: "2018-06-29" description: fmel_upd_d geometry: - type: geo_shape + type: object description: Location coordinates and its type. example: {"type": "Polygon", "coordinates": [[103.8300615, 1.3060184], [103.8301117, 1.3059917]]} lastupdated: From e88beca789e05cee9171a28d9bd1379ccd6f937f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 6 Jul 2022 09:09:50 +0530 Subject: [PATCH 4758/5916] Update document_conversion_eng.yaml --- utility/document_conversion_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml index 6aa339aec..ecad14056 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng.yaml @@ -239,9 +239,9 @@ components: input: type: object required: - - filePath + - file_path properties: - filePath: + file_path: type: string format: binary default: true From 6bbe829539747bd004969f3dcaa8a89564d20052 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 6 Jul 2022 09:27:04 +0530 Subject: [PATCH 4759/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index 165f6fc3a..d4618ce8f 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -190,7 +190,7 @@ components: description: Json Object of returned results properties: max_score: - type: float + type: number example: 0.9 description: The highest score value total: @@ -226,7 +226,7 @@ components: description: Document ID example: "156edd775b13856fc71" _score: - type: float + type: number description: The document score for the search request example: 0.5 _source: @@ -264,7 +264,7 @@ components: example: "2018-06-29" description: fmel_upd_d geometry: - type: geo_shape + type: object description: Location coordinates and its type example: {"type": "Point", "coordinates": [[103.8300615, 1.3060184]]} lastupdated: From 6fede7d6e92760e800b49c1e520d8c87df4d605e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 6 Jul 2022 09:57:05 +0530 Subject: [PATCH 4760/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index 3c284a273..f7a892fd5 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -112,23 +112,21 @@ paths: Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). If this field is set to null, by default the microservice will return all buildings (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - + required: false example: "tampines" - default: false - in: query name: offset schema: type: integer description: The offset of the record list ie the starting index example: "0" - default: false - in: query name: limit schema: type: integer description: The max records to return for the request. Default - 10, Max - 10000 + required: false example: "10" - default: false - in: query name: filterdata schema: @@ -139,7 +137,7 @@ paths: * must_not * should * filter - default: false + required: false example: |+ {"filter":[{"match":{"age_group_id":7}},{"match":{"gender":"male"}},{"match":{"postalcode":520423}}]} responses: @@ -274,7 +272,6 @@ components: example: "K7scqWgBv3dNEHq2WvMo" _score: type: number - type: format description: The document score for the search request example: 17.995623 _source: From 69639980f976b0623442fa70b3954d81de6c0109 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Jul 2022 10:51:24 +0530 Subject: [PATCH 4761/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 628ebfda1..075ac9ba3 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -274,7 +274,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 211bce612cdc8381c6f596b948cb2bbd5ce5cdf4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Jul 2022 11:16:34 +0530 Subject: [PATCH 4762/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 075ac9ba3..0183f9b39 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -205,7 +205,7 @@ paths: 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 jid: e4ff367c93664fb9acfa40d9a4c6e43f request_cost: 0.3323 - url: 'https://storage.googleapis.com/lp_user_space_prod/' + url: 'https://storage.googleapis.com/user_space_dev/' status: Success '401': description: Unauthorized @@ -463,7 +463,7 @@ components: description: Google algorithm url: type: string - example: https://storage.googleapis.com/lp_user_space_prod/ + example: https://storage.googleapis.com/user_space_dev/ description: Google algorithm status: type: string From 6406b61e7516d3ad83e6dfbc0c28bc8f626d4de7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Jul 2022 12:24:27 +0530 Subject: [PATCH 4763/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 0183f9b39..ba0db53eb 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -596,7 +596,8 @@ components: example: 'audio/wav' description: |+ Specify the content-type. Pick any one from below list based on input file type. - ["audio/wav","audio/mpeg"] + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", + "audio/webm","audio/3gpp","audio/3gpp2","audio/x-wav"] additional_param: x-name: additional_param type: object From b1bfa136dbef94dc39f015d8d6b752a0e8e57343 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Jul 2022 12:28:49 +0530 Subject: [PATCH 4764/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index ba0db53eb..090cc2cdc 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -597,7 +597,7 @@ components: description: |+ Specify the content-type. Pick any one from below list based on input file type. ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", - "audio/webm","audio/3gpp","audio/3gpp2","audio/x-wav"] + "audio/webm","audio/3gpp","audio/3gpp2","audio/x-wav"] additional_param: x-name: additional_param type: object From 20952e117a8da9da18b36849221d676c2f1cc4dc Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 6 Jul 2022 17:15:06 +0800 Subject: [PATCH 4765/5916] map only flag parameter added --- voice/text-to-speech_eng.yaml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index c406e45b5..352a674d8 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -319,6 +319,13 @@ components: description: |+ Specifies the type of text normalisation to be applied. Accepts both string and list of strings. Accepted string values are either "ALL" or "DEFAULT". Accepted list of strings are "PLAIN", "PUNCT", "DATE", "LETTERS", "CARDINAL", "VERBATIM", "DECIMAL", "MEASURE", "MONEY", "ORDINAL", "TIME", "ELECTRONIC", "DIGIT", "FRACTION", "TELEPHONE", "ADDRESS". No default value + map_only_flag: + x-name: map_only_flag + type: boolean + default: False + example: false + description: |+ + Parameter to activate Singlish mapping wrapper_required: x-name: wrapper_required type: boolean From 3bf2a14acfbea6fb073a6e8939d73b52e2bcd8a6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Jul 2022 16:38:27 +0530 Subject: [PATCH 4766/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index c55834dcd..56ae5d178 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -214,7 +214,7 @@ components: - file_path properties: file_path: - type: file + type: string format: binary default: true example: sample.wav From 01fd1e587adb94c2eaca21850c7298a4d2a50eeb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 6 Jul 2022 16:39:25 +0530 Subject: [PATCH 4767/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 1e66473e5..eeb3371e9 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -254,7 +254,7 @@ components: - file_path properties: file_path: - type: file + type: string format: binary default: true example: sample.wav From 98e4caff70ee05f3db082d702b5b85e967e82a63 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:32:56 +0530 Subject: [PATCH 4768/5916] Update index.yaml --- index.yaml | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/index.yaml b/index.yaml index 356903281..9b6f4bb3a 100644 --- a/index.yaml +++ b/index.yaml @@ -78,8 +78,7 @@ voice: voice_activity_detection_eng: title: Voice Activity Detection ENG versions: - 1.0.1: 'voice_activity_detection_eng.yaml' - 0.1.0: 'voice_activity_detection_eng_v0.1.yaml' + 1.0.1: 'voice_activity_detection_eng.yaml' google_asr_large_file: title: Google ASR (Large File) versions: @@ -132,7 +131,6 @@ nlp: title: spaCy NER versions: 1.0.0: 'spacy_ner.yaml' - 0.1.0: 'spacy_ner_v0.1.yaml' page_profiler_eng: title: Page Profiler ENG versions: @@ -149,12 +147,10 @@ nlp: title: Taxonomy Matcher ENG versions: 1.0.1: 'taxonomy_matcher_eng.yaml' - 0.1.0: 'taxonomy_matcher_eng_v0.1.yaml' word_sense_disambiguation_eng: title: Word Sense Disambiguation ENG versions: 1.0.0: 'word_sense_disambiguation_eng.yaml' - 0.1.0: 'word_sense_disambiguation_eng_v0.1.yaml' named-entity_recognition_jp: title: Named-Entity Recognition JP versions: @@ -169,7 +165,6 @@ nlp: title: Script Alignment versions: 1.0.0: 'script_alignment.yaml' - 0.1.0: 'script_alignment_v0.1.yaml' word_scoring_and_suggestions: title: Word Scoring and Suggestions versions: @@ -220,7 +215,6 @@ computer vision: title: Face Recognition versions: 1.0.1: 'face_recognition.yaml' - 0.1.0: 'face_recognition_v0.1.yaml' few_shots_object_detection: title: Few Shots Object Detection versions: @@ -254,7 +248,6 @@ computer vision: title: Landmark Detection (JP) versions: 1.0.0: 'landmark_recognition_jp.yaml' - 0.1.0: 'landmark_recognition_jp_v0.1.yaml' demographics_classification: title: Demographics Classification versions: From d61034ece950a676cfd8e0f4a252484091ab7ec0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:47:31 +0530 Subject: [PATCH 4769/5916] Update face_recognition.yaml --- computer_vision/face_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index 620f76d04..6c9e59db2 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -321,7 +321,7 @@ components: - type: string example: Published Date - Jul 03, 2020 x-details: Initial version release - description: Archived + description: Depreciated on Jul 07, 2022 input: type: object required: From e4fe78f5233cf30d2bf1e10f76f62891badd3467 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:48:39 +0530 Subject: [PATCH 4770/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 7fc08fa6d..3ab227943 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -241,7 +241,7 @@ components: - type: string example: Published Date - Mar 24, 2020 x-details: Initial version release - description: Archived + description: Depreciated on Jul 07, 2022 input: type: object required: From c28ab89a3b54ad338623d307cc7dca302cb47170 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:49:05 +0530 Subject: [PATCH 4771/5916] Update inverse_text_normalisation_eng_v1.0.yaml --- nlp/inverse_text_normalisation_eng_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng_v1.0.yaml b/nlp/inverse_text_normalisation_eng_v1.0.yaml index 8a17fd04d..fdfc9d499 100644 --- a/nlp/inverse_text_normalisation_eng_v1.0.yaml +++ b/nlp/inverse_text_normalisation_eng_v1.0.yaml @@ -241,7 +241,7 @@ components: - type: string example: Published Date - Mar 24, 2020 x-details: Initial version release - description: Archived + description: Depreciated on Jul 07, 2022 input: type: object required: From c83e8711ee3b65f2419bee3a41e5607dcbb63bcf Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:50:00 +0530 Subject: [PATCH 4772/5916] Update landmark_recognition_jp.yaml --- computer_vision/landmark_recognition_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/landmark_recognition_jp.yaml b/computer_vision/landmark_recognition_jp.yaml index 79665e906..fab168ccc 100644 --- a/computer_vision/landmark_recognition_jp.yaml +++ b/computer_vision/landmark_recognition_jp.yaml @@ -255,7 +255,7 @@ components: - type: string example: Published Date - Jul 30, 2020 x-details: Initial version release - description: Archived + description: Depreciated on Jul 07, 2022 input: type: object properties: From 9c12ef735334ae9c1766b2c380120efc0d3db9f6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:50:44 +0530 Subject: [PATCH 4773/5916] Update script_alignment.yaml --- nlp/script_alignment.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index 04f492909..6e7828bcb 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -251,7 +251,7 @@ components: - type: string example: Published Date - Jun 05, 2020 x-details: Initial version release - description: Archived + description: Depreciated on Jul 07, 2022 input: type: object required: From a36643f85f9c8fd5b8162d2e7c9f3879c855e0c4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:52:04 +0530 Subject: [PATCH 4774/5916] Update taxonomy_matcher_eng.yaml --- nlp/taxonomy_matcher_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/taxonomy_matcher_eng.yaml b/nlp/taxonomy_matcher_eng.yaml index 6218fc45c..5dcf976f3 100644 --- a/nlp/taxonomy_matcher_eng.yaml +++ b/nlp/taxonomy_matcher_eng.yaml @@ -249,7 +249,7 @@ components: - type: string example: Published Date - Jan 24, 2020 x-details: Initial version release - description: Archived + description: Depreciated on Jul 07, 2022 input: type: object required: From 56dd95adc0a608d32a9f1827229ae0405bd660d2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:53:09 +0530 Subject: [PATCH 4775/5916] Update voice_activity_detection_eng.yaml --- voice/voice_activity_detection_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/voice_activity_detection_eng.yaml b/voice/voice_activity_detection_eng.yaml index b569b1645..582ba8944 100644 --- a/voice/voice_activity_detection_eng.yaml +++ b/voice/voice_activity_detection_eng.yaml @@ -280,7 +280,7 @@ components: - type: string example: Published Date - Jul 03, 2020 x-details: Initial version release - description: Archived + description: Depreciated on Jul 07, 2022 securitySchemes: APIAuthorizer: type: apiKey From 158a4f0bec18c184136f9170e7f6259e3879dd24 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:53:47 +0530 Subject: [PATCH 4776/5916] Update word_sense_disambiguation_eng.yaml --- nlp/word_sense_disambiguation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/word_sense_disambiguation_eng.yaml b/nlp/word_sense_disambiguation_eng.yaml index a2b0703d2..f9632d5c3 100644 --- a/nlp/word_sense_disambiguation_eng.yaml +++ b/nlp/word_sense_disambiguation_eng.yaml @@ -331,7 +331,7 @@ components: - type: string example: Published Date - Mar 06, 2020 x-details: Initial version release - description: Archived + description: Depreciated on Jul 07, 2022 securitySchemes: APIAuthorizer: type: apiKey From 2c7873cd33c7a4c60950c5aa6e32b7ab27b1773e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:54:21 +0530 Subject: [PATCH 4777/5916] Update spacy_ner.yaml --- nlp/spacy_ner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index c7d0ce5f6..15e9845be 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -335,7 +335,7 @@ components: - type: string example: Published Date - Sep 30, 2020 x-details: Initial version release - description: Archived + description: Depreciated on Jul 07, 2022 securitySchemes: APIAuthorizer: type: apiKey From d63a57668ebcec86237a9aa791fe893570bebc0b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 09:58:22 +0530 Subject: [PATCH 4778/5916] Update face_recognition.yaml --- computer_vision/face_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index 6c9e59db2..774b0947f 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -312,7 +312,7 @@ components: - type: string example: Published Date - Dec 09, 2020 x-details: Standardizing Output JSON and model update - description: Depreciating on Jan 10, 2021 + description: Depreciated on Jan 10, 2021 v0.1.0: type: array From 52ece8e95da84cea6416c2d7e19c9f2dc161662e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 10:02:37 +0530 Subject: [PATCH 4779/5916] Update taxonomy_matcher_eng.yaml --- nlp/taxonomy_matcher_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/taxonomy_matcher_eng.yaml b/nlp/taxonomy_matcher_eng.yaml index 5dcf976f3..144e719cc 100644 --- a/nlp/taxonomy_matcher_eng.yaml +++ b/nlp/taxonomy_matcher_eng.yaml @@ -241,7 +241,7 @@ components: - type: string example: Published Date - Oct 30, 2020 x-details: Standardizing Output JSON - description: Depreciating on May 11, 2021 + description: Depreciated on May 11, 2021 v0.1.0: type: array items: From 7c695d4961ba9144077af15473997cf99ecdcbb4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 7 Jul 2022 10:05:00 +0530 Subject: [PATCH 4780/5916] Update voice_activity_detection_eng.yaml --- voice/voice_activity_detection_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/voice_activity_detection_eng.yaml b/voice/voice_activity_detection_eng.yaml index 582ba8944..30010ef13 100644 --- a/voice/voice_activity_detection_eng.yaml +++ b/voice/voice_activity_detection_eng.yaml @@ -272,7 +272,7 @@ components: - type: string example: Published Date - Dec 09, 2020 x-details: Standardizing Output JSON - description: Depreciating on Nov 08, 2021 + description: Depreciated on Nov 08, 2021 v0.1.0: type: array items: From 10f6b550136218e4cc71a4fce2086576b2c2a85e Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 8 Jul 2022 15:17:06 +0800 Subject: [PATCH 4781/5916] Modified text sum yaml --- nlp/text_summarization.yaml | 17 +---------------- 1 file changed, 1 insertion(+), 16 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 8bae4b22f..ecc59d8ef 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -39,7 +39,7 @@ application/json: schema: $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"score": 2.14511174780278,"text": "50 per cent of residents have moved into their new homes in alkaff lakeview , singapore . this is despite bidadari 's past as a grave site , with some drawing similarities between the estate and the alks ."},"status": "Success"} + example: {"message": "Successfully Processed","results": {"text": "50 per cent of residents have moved into their new homes in alkaff lakeview , singapore . this is despite bidadari 's past as a grave site , with some drawing similarities between the estate and the alks ."},"status": "Success"} '401': description: Unauthorized content: @@ -112,11 +112,6 @@ example: { "" } description: Json object in the returned results properties: - score: - type: number - format: float - example: 2.2100781633414535 - description: The confidence score of the summary. text: type: string example: more than 2,000 build-to-orders have been completed by the hdb in 2015. more than 70 per cent of residents have moved into their new homes in alk by 50 per cent in bidadari .y greenrise will be the last bto to be @@ -267,16 +262,6 @@ example: "More than 2,000 Build-To-Order (BTO) Housing Board flats in Singapore's newest large estate, Bidadari, have been completed, with families progressively moving into their new homes.These flats are spread across three projects - Alkaff Vista, Alkaff LakeView and Alkaff CourtView - which were launched for sale by the HDB in 2015.More than 70 per cent of residents have moved into their new homes in Alkaff Vista and Alkaff LakeView, said the HDB in an update yesterday.About 50 per cent of residents have done the same at Alkaff CourtView, where works on community spaces are still in progress. All 12 public housing developments in Bidadari have been rolled out, with the final three projects - Bartley GreenRise, ParkEdge @ Bidadari and Alkaff Breeze - launched in this month's BTO sales exercise.Bartley GreenRise will be the last BTO site to be ready, and is estimated to be completed in the second quarter of 2025. The BTO flats in the 93ha Bidadari estate have been highly sought after by home seekers. The five-room flats typically drew more applicants than there were available units.This is despite Bidadari's past as a grave site, with some drawing similarities between the estate and the mature town of Bishan, which was also once a cemetery.Most of the units in Alkaff LakeView and Alkaff CourtView have been designed with structural columns tucked to the edges to allow residents greater flexibility in configuring their home layouts." description: |+ Input text - max_input_len: - x-name: max_input_len - type: integer - default: False - example: 1024 - description: |+ - The model will accept up to max_input_len of subword. - If the input length is higher than max_input_len, the input will be truncated. - Default value is 1024. - Recommended range is between 512 and 1024. beam_size: x-name: beam_size type: integer From 85333a52b938f4afc5ee00a7a3af8d1e4a267ac2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Jul 2022 15:29:28 +0530 Subject: [PATCH 4782/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 090cc2cdc..2154f9ea6 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,10 +165,10 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 20, 2022" + description: "Published Date - Jul 08, 2022" paths: /async/microservices/voice/googleasr/v1/getuploadurl: description: |+ @@ -274,10 +274,10 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - - v0.1.0 + - v1.0.0 requestBody: content: multipart/form-data: @@ -298,7 +298,7 @@ paths: Query for processing status. get: tags: - - v0.1.0 + - v1.0.0 parameters: - in: query name: jid @@ -558,7 +558,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 20, 2022 + example: Published Date - Jul 08, 2022 x-details: Initial version release description: Latest Version v0.1.0: From 2c8d7e298e5a8d7be765d951b4449e71bc76bfe8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Jul 2022 15:55:50 +0530 Subject: [PATCH 4783/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 50f6fa068..6a1a88576 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,10 +25,10 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" - description: "Published Date - Jun 20, 2022" + description: "Published Date - Jul 08, 2022" paths: /async/microservices/voice/asrsch/v0/getuploadurl: description: |+ @@ -414,7 +414,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 20, 2022 + example: Published Date - Jul 08, 2022 x-details: Output Parameters Aligned description: Latest Version v0.1.1: From 15e37f53972a236db30406a6c9c761271d0777a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 8 Jul 2022 17:09:18 +0530 Subject: [PATCH 4784/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index 2b023e1e9..8a06e219f 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -22,10 +22,10 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 09, 2022" + description: "Published Date - Jul 08, 2022" paths: /async/microservices/voice/nsd/v0/getuploadurl: description: |+ @@ -127,7 +127,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -410,7 +410,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 06, 2022 + example: Published Date - Jul 08, 2022 x-details: Initial version release description: Latest Version input: From cfd315416944c33ba35ce00e64b3b6ec4f916964 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 11 Jul 2022 11:42:16 +0530 Subject: [PATCH 4785/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 6a1a88576..9224b9a2a 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -131,7 +131,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -319,7 +319,7 @@ components: description: Google algorithm url: type: string - example: https://storage.googleapis.com/user_space_dev/ + example: https://storage.googleapis.com/lp_user_space_prod/ description: Google algorithm status: type: string From 6ac7daf68b8144ead5b23340c81e3b9f3ab24f12 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 11 Jul 2022 13:25:02 +0530 Subject: [PATCH 4786/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 2154f9ea6..c505af322 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -153,15 +153,15 @@ info: x-subscribelink: google_asr x-apitype: large file x-apitypedescription: |+ - Asyncronous | Batch | 1GB/File. + Asyncronous | Batch | 2GB/File. x-inputfilelimit: |+ - Process up to 1 GB of File Size. + Process up to 2 GB of File Size. x-responsetime: |+ The response rate is slower than the small file API due to large data. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ - Size cannot exceed 1 GB. + Size cannot exceed 2 GB. x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: @@ -463,7 +463,7 @@ components: description: Google algorithm url: type: string - example: https://storage.googleapis.com/user_space_dev/ + example: https://storage.googleapis.com/lp_user_space_prod/ description: Google algorithm status: type: string From 0e5d5c3cafdd73d7a731c959b3e1e4e09336a27b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 11 Jul 2022 13:27:06 +0530 Subject: [PATCH 4787/5916] Update google_asr_large_file_v0.yaml --- voice/google_asr_large_file_v0.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/google_asr_large_file_v0.yaml b/voice/google_asr_large_file_v0.yaml index 7c0aa6f40..f66ff7b43 100644 --- a/voice/google_asr_large_file_v0.yaml +++ b/voice/google_asr_large_file_v0.yaml @@ -155,15 +155,15 @@ info: x-subscribelink: google_asr x-apitype: large file x-apitypedescription: |+ - Asyncronous | Batch | 1GB/File. + Asyncronous | Batch | 2GB/File. x-inputfilelimit: |+ - Process up to 1 GB of File Size. + Process up to 2 GB of File Size. x-responsetime: |+ The response rate is slower than the small file API due to large data. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ - Size cannot exceed 1 GB. + Size cannot exceed 2 GB. x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: From 866e7f774b71e98d68a8440369a811470251f1d7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 11 Jul 2022 14:12:05 +0530 Subject: [PATCH 4788/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 9224b9a2a..ae4f7e4e2 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -13,15 +13,15 @@ info: x-subscribelink: automatic_speech_recognition_chi x-apitype: large file x-apitypedescription: |+ - Asyncronous | Batch | 1GB/File. + Asyncronous | Batch | 2GB/File. x-inputfilelimit: |+ - Process up to 1 GB of File Size. + Process up to 2 GB of File Size. x-responsetime: |+ The response rate is slower than the small file API due to large data. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ - Size cannot exceed 1 GB. + Size cannot exceed 2 GB. x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: From 7d574f415975432a0a60e646bb8f15c7f6c5bd8e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 12 Jul 2022 19:38:55 +0530 Subject: [PATCH 4789/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 92c7182aa..f573950c8 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 30, 2022" From 090b58502152674f4b1d9df6e05b41e0213ec942 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 12 Jul 2022 20:02:04 +0530 Subject: [PATCH 4790/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index f573950c8..92c7182aa 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 30, 2022" From b2b7eb79ed0dea97b0994c3e16407d94f63b522c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 08:09:00 +0530 Subject: [PATCH 4791/5916] Update d&b_basic_individual_search_sg.yaml --- data/d&b_basic_individual_search_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/d&b_basic_individual_search_sg.yaml b/data/d&b_basic_individual_search_sg.yaml index 2bf09d09e..fbd76f69a 100644 --- a/data/d&b_basic_individual_search_sg.yaml +++ b/data/d&b_basic_individual_search_sg.yaml @@ -353,7 +353,7 @@ components: example: "DDP" description: System ID CREATION_DATE: - type: datetime + type: string example: "25/02/2009 17:31:44.678" description: Report Request Date USER_ID : @@ -427,7 +427,7 @@ components: description: Report Type example: "BIS" REQ_DATE: - type: datetime + type: string description: Requested Date example: "25/02/2009 17:31:44" REQ_REG_NO: From b394c718bde615c476c9b3ebe79b9f318b88ca10 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 08:10:10 +0530 Subject: [PATCH 4792/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index cd76d99f7..0a9a25f40 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -437,7 +437,7 @@ components: description: Company Registration No example: "200003058W" REQ_DATE : - type: datetime + type: string description: Requested Date example: "2009-04-21 10:56:06.716" REQ_REG_NO : From bb8cee85b4ab1e6a95b2772f43583b666025cbcd Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 08:11:28 +0530 Subject: [PATCH 4793/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index 9d7af6abc..ba7febd25 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -703,7 +703,7 @@ components: description: System ID example: "DDP" CREATION_DATE: - type: datetime + type: string description: Report request date example: Wed Apr 08 11:37:51 MYT 2009 USER_ID : @@ -950,7 +950,7 @@ components: description: Subject’s ID Number (individual) or Registration Number (company/business) example: "197401835M" REQ_DATE: - type: datetime + type: string description: Report Requested Date example: 2009-04-08 11:36:03.611 REQ_REG_NO: @@ -2371,7 +2371,7 @@ components: description: Differentiate Search By Financial Sectors and Search By Non- Financial Sectors example: 1 LastUpdateDate : - type: datetime + type: string description: Last update date example: YYYY-MM-DD 00:00:00.0 unauthorized: From 523561ad6f89b93049c69e517f9e6e5b6c80000b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 08:19:10 +0530 Subject: [PATCH 4794/5916] Update d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 36 ++++++++++++++++++++++++++------- 1 file changed, 29 insertions(+), 7 deletions(-) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index 89cf014bc..1b7e694c5 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -278,7 +278,7 @@ components: description: System ID example: "DDP" CREATION_DATE: - type: datetime + type: string description: Report request date example: "Wed Apr 08 11:37:51 MYT 2009" USER_ID : @@ -567,7 +567,15 @@ components: example: LIST_BIZ_BRANCH: "@className": com.technodex.ddp.report.bean.CommercialBizBranchBean - BIZ_BRANCH: + items: + oneOf: + - type: string + example: LIST_BIZ_BRANCH + - type: string + example: com.technodex.ddp.report.bean.CommercialBizBranchBean + BIZ_BRANCH: + type: array + example: ADDR_BUILDING: "@type": String "#text": "-" @@ -576,7 +584,21 @@ components: "#text": '289848' ADDR_ADDRESS1: "@type": String - "#text": 251A ARCADIA ROAD , - - - + "#text": 251A ARCADIA ROAD + items: + oneOf: + - type: string + example: ADDR_BUILDING + - type: string + example: "-" + - type: string + example: ADDR_POSTCODE + - type: string + example: "289848" + - type: string + example: ADDR_ADDRESS1 + - type: string + example: 251A ARCADIA ROAD properties: BIZ_BRANCH : type: object @@ -861,11 +883,11 @@ components: example: NAME_CHANGE: PREV_NAME: - "@type": String - "#text": HUA XI EATING HOUSE + "@type": String + "#text": HUA XI EATING HOUSE EFFECT_DATE: - "@type": String - "#text": 25/10/1997 00:00:00 + "@type": String + "#text": 25/10/1997 00:00:00 properties: PREV_NAME : type: string From b7192a910018eb2682ac5d2cd5a52a2768490a26 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 09:23:06 +0530 Subject: [PATCH 4795/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index cf4301dbf..e2c778a02 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -630,7 +630,7 @@ components: type: number description: |+ Optional parameter. The default value is 7. The number of data points that is required for it to complete one seasonal cycle, e.g., the value will be 7 if the data is daily and the seasonal cycle happens weekly; the value will be 12 if the data is monthly and the seasonal cycle happens every year. - example: 7 + example: 2 securitySchemes: APIAuthorizer: type: apiKey From eb10e095fdbfc45fe02bc9327888663c7a05cd96 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 09:26:31 +0530 Subject: [PATCH 4796/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index e2c778a02..85ea60eac 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 01, 2022" From a0d97787ada94f02a69de3cf127c53cdcaab8e4b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 09:26:48 +0530 Subject: [PATCH 4797/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 888b6e43e..6d6a83682 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -24,7 +24,7 @@ info: x-notes: |+ servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 01, 2022" From f61ff0ce639eb62fc854c2a2e6dedd3e4e02372a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 09:27:06 +0530 Subject: [PATCH 4798/5916] Update foretell_profiling.yaml --- analytics/foretell_profiling.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_profiling.yaml b/analytics/foretell_profiling.yaml index ef0417d9c..ff5005088 100644 --- a/analytics/foretell_profiling.yaml +++ b/analytics/foretell_profiling.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 01, 2022" From 14edb42697fea06e3edcc2b0dba6491139901ddd Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 09:27:26 +0530 Subject: [PATCH 4799/5916] Update load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index 1fafcbb1b..0a8fc250b 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 01, 2022" From 6f62c49f9f8b05d1c0b758dc37ab15bfb77a4285 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 09:40:02 +0530 Subject: [PATCH 4800/5916] Rename d&b_basic_individual_search_sg.yaml to dnb_basic_individual_search_sg.yaml --- ...ividual_search_sg.yaml => dnb_basic_individual_search_sg.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/{d&b_basic_individual_search_sg.yaml => dnb_basic_individual_search_sg.yaml} (100%) diff --git a/data/d&b_basic_individual_search_sg.yaml b/data/dnb_basic_individual_search_sg.yaml similarity index 100% rename from data/d&b_basic_individual_search_sg.yaml rename to data/dnb_basic_individual_search_sg.yaml From 492ff6fb2c15ef4720407d34f3b7ae131bfff013 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 09:40:41 +0530 Subject: [PATCH 4801/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 9b6f4bb3a..d8f0a95af 100644 --- a/index.yaml +++ b/index.yaml @@ -414,7 +414,7 @@ data: d&b_basic_individual_search_sg: title: D&B Basic Individual Search (SG) versions: - 1.1.0: 'd&b_basic_individual_search_sg.yaml' + 1.1.0: 'dnb_basic_individual_search_sg.yaml' 0.1.0: 'd&b_basic_individual_search_sg_v0.1.yaml' d&b_business_check_sg: title: D&B Business Check (SG) From ce880e46c83474a874085142bf6f05545e0f8563 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 13 Jul 2022 10:19:23 +0530 Subject: [PATCH 4802/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 92c7182aa..96010ed32 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -21,10 +21,10 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /async/microservices/cv/thumbnailgeneration/v0/getuploadurl: description: |+ @@ -57,7 +57,7 @@ paths: x-goog-signature: 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 jid: 5292a71b45184424826c9089c103fb78 request_cost: 1.2675 - url: https://storage.googleapis.com/user_space_dev/ + url: https://storage.googleapis.com/lp_user_space_prod/ status: Success '401': description: Unauthorized @@ -126,7 +126,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -314,7 +314,7 @@ components: description: Google algorithm url: type: string - example: https://storage.googleapis.com/user_space_dev/ + example: https://storage.googleapis.com/lp_user_space_prod/ description: Google algorithm status: type: string @@ -409,7 +409,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Initial version release description: Latest Version input: From 4d03da6db46b81c2d39f5a26a16114d0d09c8b95 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 14:33:34 +0530 Subject: [PATCH 4803/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index 72412da34..0167b27c0 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Extract audio from video file. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/utility/videotoaudio/v1/getresults: post: @@ -243,7 +243,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Input parameter standard and fast api conversion description: Latest Version v0.1.0: From e5fd1e60dfd49df0dad9e30043efc75b8c0e5f69 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 14:34:09 +0530 Subject: [PATCH 4804/5916] Update video-to-audio_converter_v0.1.yaml --- utility/video-to-audio_converter_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/video-to-audio_converter_v0.1.yaml b/utility/video-to-audio_converter_v0.1.yaml index 267cbc4d5..be8d5e684 100644 --- a/utility/video-to-audio_converter_v0.1.yaml +++ b/utility/video-to-audio_converter_v0.1.yaml @@ -243,7 +243,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Input parameter standard and fast api conversion description: Latest Version v0.1.0: From 00525fdf214e0098086450342f991995feddf68c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 14:34:49 +0530 Subject: [PATCH 4805/5916] Update base64_file_encode_v0.1.yaml --- utility/base64_file_encode_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_encode_v0.1.yaml b/utility/base64_file_encode_v0.1.yaml index 6e3d0abe8..813eb48f1 100644 --- a/utility/base64_file_encode_v0.1.yaml +++ b/utility/base64_file_encode_v0.1.yaml @@ -241,7 +241,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Input field update and fast conversion description: Latest Version v0.1.0: From 4fa9caa9099afdcf857173d5f0a53a0be4541644 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 14:35:22 +0530 Subject: [PATCH 4806/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index d0c229a03..e48cbfabf 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Convert binary file to Base64 encoded text string. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jun 13, 2022" paths: /microservices/utility/base64encode/v1/getresults: post: @@ -241,7 +241,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Input field update and fast conversion description: Latest Version v0.1.0: From a2a9d3a30d6a42034f7ede3468981cf8d896b031 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 14:35:55 +0530 Subject: [PATCH 4807/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index 62d88143b..cc15e603d 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -22,10 +22,10 @@ info: x-apidetailsdesc: |+ Convert Base64 encoded text string to binary file. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/utility/base64decode/v0/getresults: post: @@ -210,7 +210,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Fast api conversion description: Latest Version v0.1.0: From d0b34b8a2e0f11fc5e915dfb4620c368774bc815 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 14:57:49 +0530 Subject: [PATCH 4808/5916] Update urls_retrieval.yaml --- utility/urls_retrieval.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/urls_retrieval.yaml b/utility/urls_retrieval.yaml index 6d7e5fba3..a4fd83866 100644 --- a/utility/urls_retrieval.yaml +++ b/utility/urls_retrieval.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Crawls and Retrieves content from the input URLs servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.3.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/utility/crawlurls/v0/getresults: post: @@ -241,7 +241,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Fast api conversion description: Latest Version v0.2.1: From 8c8b7b4f455f4dc7b692ccee05405cf032735435 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 15:12:03 +0530 Subject: [PATCH 4809/5916] Update document_conversion_eng.yaml --- utility/document_conversion_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml index ecad14056..79f2ca72c 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng.yaml @@ -26,10 +26,10 @@ info: x-apidetailsdesc: |+ Extracts text content from docx/text/pdf docs. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/utility/docconversion/v2/getresults: post: @@ -217,7 +217,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Input paramater changes to standard and fast api conversion description: Latest Version v1.0.0: From b2dc7ae7315c990ec9ec8c928ff38542ecde50ff Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 15:12:31 +0530 Subject: [PATCH 4810/5916] Update document_conversion_eng_v1.0.yaml --- utility/document_conversion_eng_v1.0.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/document_conversion_eng_v1.0.yaml b/utility/document_conversion_eng_v1.0.yaml index 40a7d5845..063b246c2 100644 --- a/utility/document_conversion_eng_v1.0.yaml +++ b/utility/document_conversion_eng_v1.0.yaml @@ -217,7 +217,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Input parameter standard and fast api conversion description: Latest Version v1.0.0: From d643eda51963b234e963fd15ed4f607f72dfdccb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 15:16:00 +0530 Subject: [PATCH 4811/5916] Update and rename pdf_extractor.yaml to pdf_extractor_v1.yaml --- .../{pdf_extractor.yaml => pdf_extractor_v1.yaml} | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) rename utility/{pdf_extractor.yaml => pdf_extractor_v1.yaml} (94%) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor_v1.yaml similarity index 94% rename from utility/pdf_extractor.yaml rename to utility/pdf_extractor_v1.yaml index 6e1db943c..7abf388e7 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor_v1.yaml @@ -222,7 +222,15 @@ components: example: Failure versions: type: object - properties: + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Initial version release + description: Latest Version v1.0.0: type: array items: @@ -230,7 +238,7 @@ components: - type: string example: Published Date - Jul 30, 2020 x-details: Initial version release - description: Latest Version + description: Old Version input: type: object required: From d8eb72b7c9575fa9ef323c2b0c164fc0d7d42d3c Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 13 Jul 2022 15:20:44 +0530 Subject: [PATCH 4812/5916] update token_length description --- nlp/text_generation_gptj6b.yaml | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index d87fb6156..2fa20b1e2 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -219,9 +219,12 @@ components: default: False example: 60 description: |+ - The model using GPTJ model tokenizer, converts the input text to sentences, and token_length describes the maximum length of tokens in input. - Default value is 50 + token_length is the number of tokens in the output sequence. token_length is the number of tokens in input sequence + number of tokens generated. + + Default value is 50. + Recommended range is between 20 and 100. + num_beams: x-name: num_beams type: number From 9bfa552a8d7ca3e7670d5d88132dfc2668dc316d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 15:21:11 +0530 Subject: [PATCH 4813/5916] Create pdf_extractor.yaml --- utility/pdf_extractor.yaml | 292 +++++++++++++++++++++++++++++++++++++ 1 file changed, 292 insertions(+) create mode 100644 utility/pdf_extractor.yaml diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml new file mode 100644 index 000000000..d3c310d9c --- /dev/null +++ b/utility/pdf_extractor.yaml @@ -0,0 +1,292 @@ +openapi: 3.0.1 +info: + title: PDF Extractor + description: |+ + This Utility microservice extracts the text content of the input PDF document with the option to extract specific pages. + + It also extracts from password-protected PDFs, if the correct password is provided. + + Output format supported: plain text or HTML. + + Supported languages: Hindi, German, Spanish, Portuguese, French, Turkish, Italian, Russian, Arabic, Indonesian, Chinese, Japanese and Korean. + + The size of your PDF file should **not exceed 7 MB**. + x-additionalinfo: |+ + Suggested Use Cases: + - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the PDF document can be used with a Voice microservice such as Text-to-Speech. + + - Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. + version: '1.0.0' + x-subscribelink: pdf_extractor + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 7MB/Call + x-inputfilelimit: |+ + Process up to 7 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 7 MB. + x-apidetailsdesc: |+ + Extracts text content from pdf docs. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - Jul 13, 2022" +paths: + /microservices/utility/pdfextractor/v2/getresults: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: "\\n L 328/84 \\n Official Journal of the European Union \\n EN \\n + 18.12.2019 \\n DECISIONS \\n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \\n + of 16 December 2019 \\n amending Implementing Decision 2014/908/EU as regards the + inclusion of Serbia and South Korea in \\n the lists of third countries and + \ territories whose supervisory and regulatory requirements" + message: Successfully Processed + status: Success + extracted_details: "[1, 3] pages are Extracted...." + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' +components: + schemas: + success: + type: object + properties: + results: + type: string + example: \n L 328/84 \n Official Journal of the European Union \n EN \n 18.12.2019 \n DECISIONS \n COMMISSION IMPLEMENTING DECISION (EU) 2019/2166 \n of 16 December 2019 \n amending Implementing Decision 2014/908/EU as regards the inclusion of Serbia and South Korea in \n the lists of third countries and territories whose supervisory and regulatory requirements + description: The result of the API call. + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + extracted_details: + type: string + example: "[1, 3] pages are Extracted...." + description: Extracted page and file details + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Initial version release + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 30, 2020 + x-details: Initial version release + description: Old Version + input: + type: object + required: + - file_path + properties: + file_path: + type: string + format: binary + default: true + example: sample.pdf + description: The file path that describes the location of the file to be converted. Text-only PDF files are supported. Image or mixed PDF files are not recommended. + page_numbers: + type: string + default: false + example: "1,3,6" + description: Page numbers, example 1,3,6. Default all pages + max_pages: + type: integer + format: int32 + default: false + example: "3" + description: Maximum number of pages. Default all pages + start_page: + type: integer + format: int32 + default: false + example: "1" + description: Starting page number, if used endPage parameter is mandatory + end_page: + type: integer + format: int32 + default: false + example: "5" + description: End of page number, if used startPage parameter is mandatory + convert_type: + type: string + default: false + example: "txt" + description: Convertion type (txt / html). Default type is txt + password: + type: string + default: false + example: "xxxxxxxx" + description: Password for protected pdf + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From e213c48c92898f4e4db70fa9ae06fcc1578d606e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 15:21:57 +0530 Subject: [PATCH 4814/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index d8f0a95af..3d9d94c7f 100644 --- a/index.yaml +++ b/index.yaml @@ -287,7 +287,8 @@ utility: pdf_extractor: title: PDF Extractor versions: - 1.0.0: 'pdf_extractor.yaml' + 2.0.0: 'pdf_extractor.yaml' + 1.0.0: 'pdf_extractor_v1.yaml' pki_key_generator: title: PKI Key Generator versions: From 6868eddf1f42ee71ae74db4e9434c3d40d8abc7f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 16:06:43 +0530 Subject: [PATCH 4815/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index a4c7cf997..b4253b63a 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Converts CSV file to JSON format. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/utility/csvtojson/v2/getresults: post: @@ -209,7 +209,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Fast api conversion. description: Latest Version v2.0.0: From f4e1ce7a912d74683958f803366992b0ed713847 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 16:07:48 +0530 Subject: [PATCH 4816/5916] Update csv-json_convertor_1.yaml --- utility/csv-json_convertor_1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/utility/csv-json_convertor_1.yaml b/utility/csv-json_convertor_1.yaml index 4a69da0ce..60d3e78e5 100644 --- a/utility/csv-json_convertor_1.yaml +++ b/utility/csv-json_convertor_1.yaml @@ -208,7 +208,15 @@ components: example: Failure versions: type: object - properties: + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Fast api conversion. + description: Latest Version v2.0.0: type: array items: From d47ca96a5097052c17bf69b047182d60690c9d09 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 16:15:09 +0530 Subject: [PATCH 4817/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index f5d2983be..f9b36cbd3 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -23,10 +23,10 @@ info: x-apidetailsdesc: |+ Converts Json file to CVS file. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/utility/jsontocsv/v2/getresults: post: @@ -227,7 +227,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Input parameter changed to standard and fast api conversion description: Latest Version v2.0.0: From 383667e024c32f09263080cf2edb7459c9cda82c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 16:16:29 +0530 Subject: [PATCH 4818/5916] Update json-csv_convertor_1.yaml --- utility/json-csv_convertor_1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/utility/json-csv_convertor_1.yaml b/utility/json-csv_convertor_1.yaml index 20cb47792..35929350d 100644 --- a/utility/json-csv_convertor_1.yaml +++ b/utility/json-csv_convertor_1.yaml @@ -229,7 +229,15 @@ components: description: List of json objects versions: type: object - properties: + properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Input parameter changed to standard and fast api conversion + description: Latest Version v2.0.0: type: array items: From 0f279d13ac8ff2a6e728233c92b9ef2c795eea08 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 16:17:07 +0530 Subject: [PATCH 4819/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index f9b36cbd3..f89d02124 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -25,13 +25,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.0.0" +- name: "v2.1.0" description: "Published Date - Jul 13, 2022" paths: /microservices/utility/jsontocsv/v2/getresults: post: tags: - - v2.0.0 + - v2.1.0 responses: '200': description: Ok From 1f3cdc7e6fe8ae5f2c1b10ebb1ba1b7cd6e1827f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 13 Jul 2022 16:17:32 +0530 Subject: [PATCH 4820/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index b4253b63a..80dd87048 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -26,13 +26,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.0.0" +- name: "v2.1.0" description: "Published Date - Jul 13, 2022" paths: /microservices/utility/csvtojson/v2/getresults: post: tags: - - v2.0.0 + - v2.1.0 responses: '200': description: Ok From 30e97b4bcd0ff5091fefc19bf7273b8fa4db55de Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 17:52:05 +0530 Subject: [PATCH 4821/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 6d6a83682..024619eec 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 01, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/analytics/fleetroutingengine/v0/endcustpreprocess: description: |+ @@ -848,7 +848,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 01, 2022 + example: Published Date - Jul 13, 2022 x-details: Initial version release description: Latest Version endcustpreprocessinput: From c602618d1d07cf326d5b5c00f14cbf1dcf875cfe Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 17:52:32 +0530 Subject: [PATCH 4822/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index 85ea60eac..f2f952e82 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -23,7 +23,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 01, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/analytics/foretellprediction/v0/fourierprediction: description: |+ @@ -502,7 +502,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 01, 2022 + example: Published Date - Jul 13, 2022 x-details: Initial version release description: Latest Version fftinput: From 643fae6dd2b2c60ecc03f21e6c0695e1c2705cbf Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 17:54:25 +0530 Subject: [PATCH 4823/5916] Update foretell_profiling.yaml --- analytics/foretell_profiling.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/foretell_profiling.yaml b/analytics/foretell_profiling.yaml index ff5005088..8bc0459e8 100644 --- a/analytics/foretell_profiling.yaml +++ b/analytics/foretell_profiling.yaml @@ -23,7 +23,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 01, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/analytics/foretellprofiling/v0/classification: description: |+ @@ -437,7 +437,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 01, 2022 + example: Published Date - Jul 13, 2022 x-details: Initial version release description: Latest Version classificationinput: From 9d441482cd5b7355691b046830134c168e9cd7a8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 17:55:44 +0530 Subject: [PATCH 4824/5916] Update load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index 0a8fc250b..ef16ede7e 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -23,7 +23,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jun 01, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/analytics/loadplanningengine/v0/freinterface: description: |+ From 8f5c28f51b5ee7994b4c748abd96d25467e2b582 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 17:56:35 +0530 Subject: [PATCH 4825/5916] Update train_stations_sg.yaml --- data/train_stations_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/train_stations_sg.yaml b/data/train_stations_sg.yaml index e1803b0cc..4d54a235d 100644 --- a/data/train_stations_sg.yaml +++ b/data/train_stations_sg.yaml @@ -32,10 +32,10 @@ info: x-apidetailsdesc: |+ Provides results for all train stations in Singapore. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/sgmrtlrt/v0/getdata: post: @@ -330,7 +330,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30,2022 + example: Published Date - Jul 13,2022 x-details: Initial version release description: Latest Version v0.1.0: From 5770848ed6811ee3e63a2ed374cefb0884c3e568 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 17:57:37 +0530 Subject: [PATCH 4826/5916] Update realtime_weather.yaml --- data/realtime_weather.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/realtime_weather.yaml b/data/realtime_weather.yaml index fda58fd90..846e74fe1 100644 --- a/data/realtime_weather.yaml +++ b/data/realtime_weather.yaml @@ -22,10 +22,10 @@ info: x-apidetailsdesc: |+ Provides up to date current weather information. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/weather/v0/getdata: post: @@ -388,7 +388,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Initial version release description: Latest Version v0.1.0: From cde3cde4c4179d6e355456a6ae41857ec037d3c4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:00:12 +0530 Subject: [PATCH 4827/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index d0f349765..ef91ccad5 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -41,10 +41,10 @@ info: x-apidetailsdesc: |+ Provides information on Ishikawajima-Harima Heavy Industries. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ihidata/v0/getdata: post: @@ -350,7 +350,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Initial version release description: Latest Version v0.1.0: From b68edfd9e28300fa418e33247a6e64e726257ac0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:03:58 +0530 Subject: [PATCH 4828/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index c1a260734..387e36843 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -99,10 +99,10 @@ info: x-apidetailsdesc: |+ Retrieves Housing Development Board (HDB) carpark information. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/carpark/v1/getdata: get: @@ -470,7 +470,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30,2022 + example: Published Date - Jul 13,2022 x-details: Optimized release description: Latest Version v1.0.0: From b325a9c90d75aa6eda568ad5c60ba36ef780b531 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:05:15 +0530 Subject: [PATCH 4829/5916] Update flat_ownership_hdb_sg.yaml --- data/flat_ownership_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/flat_ownership_hdb_sg.yaml b/data/flat_ownership_hdb_sg.yaml index 1c23ad7c9..52978109c 100644 --- a/data/flat_ownership_hdb_sg.yaml +++ b/data/flat_ownership_hdb_sg.yaml @@ -91,10 +91,10 @@ info: x-apidetailsdesc: |+ Provides information on flat ownership within Housing Development Board of Singapore. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ownership/v1/getdata: get: @@ -449,7 +449,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30,2022 + example: Published Date - Jul 13,2022 x-details: Optimized release description: Latest Version v1.0.0: From 4fa87cb23c446ddcabbbdfda66d0637bc117bb2c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:06:39 +0530 Subject: [PATCH 4830/5916] Update residential_sales_and_rental_hdb_sg.yaml --- data/residential_sales_and_rental_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/residential_sales_and_rental_hdb_sg.yaml b/data/residential_sales_and_rental_hdb_sg.yaml index 7e8525850..8a430bca6 100644 --- a/data/residential_sales_and_rental_hdb_sg.yaml +++ b/data/residential_sales_and_rental_hdb_sg.yaml @@ -95,10 +95,10 @@ info: x-apidetailsdesc: |+ Provides comprehensive details of each Housing Development Board. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/buildinginfo/v1/getdata: get: From c2bb1fe61ba8597f5c6a764151398371e755ff67 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:07:35 +0530 Subject: [PATCH 4831/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index f7a892fd5..37038fe82 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -94,10 +94,10 @@ info: x-apidetailsdesc: |+ Provides information on Housing Development Board (HDB) estates. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date -Jun 30, 2022" + description: "Published Date -Jul 13, 2022" paths: /microservices/data/demographics/v1/getdata: get: @@ -458,7 +458,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30,2022 + example: Published Date - Jul 13,2022 x-details: Optimized release description: Latest Version v1.0.0: From 678d57ba511d02bb88fd01774095bdab7289cc5e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:08:46 +0530 Subject: [PATCH 4832/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index 5bad3cef4..bcb44ede6 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -96,10 +96,10 @@ info: x-apidetailsdesc: |+ Retrieves the list of all retail shops within Housing Development Board. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/hdb_searchdir/v1/getdata: get: @@ -505,7 +505,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30,2022 + example: Published Date - Jul 13,2022 x-details: Optimized release description: Latest Version v1.0.0: From 6fb39992dcffef9874abd9c54bc35fa2e203825f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:09:42 +0530 Subject: [PATCH 4833/5916] Update season_parking_availability_hdb_sg.yaml --- data/season_parking_availability_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/season_parking_availability_hdb_sg.yaml b/data/season_parking_availability_hdb_sg.yaml index 1a386ae66..3c976f380 100644 --- a/data/season_parking_availability_hdb_sg.yaml +++ b/data/season_parking_availability_hdb_sg.yaml @@ -93,10 +93,10 @@ info: x-apidetailsdesc: |+ Provides season car park availability within Housing Development Board. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30,2022" + description: "Published Date - Jul 13,2022" paths: /microservices/data/carparkavailability/v1/getdata: get: @@ -448,7 +448,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30,2022 + example: Published Date - Jul 13,2022 x-details: Optimized release description: Latest Version v1.0.0: From 7d10a8194c081c2a82848e3a825e19241efb23e7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:15:59 +0530 Subject: [PATCH 4834/5916] Update directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index 6fa52239a..ffda3e551 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -83,10 +83,10 @@ info: x-apidetailsdesc: |+ Provides a list of all Singapore startup companies found on the internet through web scraping. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date -Jun 30, 2022" + description: "Published Date -Jul 13, 2022" paths: /microservices/data/directories_searchdir/v1/getdata: get: @@ -542,7 +542,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Optimized release description: Latest Version v1.0.0: From 047bfe0d5ae879bd614c4da5cba6ab5d253c3fb0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:16:57 +0530 Subject: [PATCH 4835/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 740329824..2896fe32d 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -91,10 +91,10 @@ info: x-apidetailsdesc: |+ Retrieves information on the Housing Development Board (HDB) building blocks in Singapore. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/directories_searchbranch/v1/getdata: get: @@ -404,7 +404,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Optimized release description: Latest Version v1.0.0: From 3869952eddd8068ab65a6551649296189a06d53d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:19:08 +0530 Subject: [PATCH 4836/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index 0a9a25f40..4bf7562fc 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -22,10 +22,10 @@ info: x-apidetailsdesc: |+ Provides an annual financial information of Singapore-registered businesses. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/sbfe/v1/getdata: post: @@ -1596,7 +1596,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Optimized and Standardized results in Json format description: Latest Version v1.0.0: From 7e24346438f897ea59755573edf6d33d6f9a2172 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:20:32 +0530 Subject: [PATCH 4837/5916] Update dnb_basic_individual_search_sg.yaml --- data/dnb_basic_individual_search_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/dnb_basic_individual_search_sg.yaml b/data/dnb_basic_individual_search_sg.yaml index fbd76f69a..f2ac03e10 100644 --- a/data/dnb_basic_individual_search_sg.yaml +++ b/data/dnb_basic_individual_search_sg.yaml @@ -23,10 +23,10 @@ info: x-apidetailsdesc: |+ Retrieves information on the business interest and involvement of an individual residing in Singapore. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/sbis/v1/getdata: post: @@ -1398,7 +1398,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Optimized and Standardized results in Json Format description: Latest Version v1.0.0: From d13bceffbc6eb5338f74444d1b909ae12c8324a3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:21:31 +0530 Subject: [PATCH 4838/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index ba7febd25..84ab924da 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -22,10 +22,10 @@ info: x-apidetailsdesc: |+ Provides key business information, litigation information and and Winding Up Trace of a company. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/sbcp/v1/getdata: post: @@ -2482,7 +2482,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Optimized and Standardized results in Json Format description: Latest Version v1.0.0: From 44192b09a75ec1da6c215384616710623dcf67f0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 18:22:05 +0530 Subject: [PATCH 4839/5916] Update d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index 1b7e694c5..c4979a338 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -26,10 +26,10 @@ info: x-apidetailsdesc: |+ Provides key business information of a Singapore-registered company. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/sbc/v1/getdata: post: @@ -1491,7 +1491,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Optimized and Standardized results in Json Format description: Latest Version v1.0.0: From dc1edc61bc114d9b1fe74351dd79b9e2de504cd7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 19:53:56 +0530 Subject: [PATCH 4840/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 3c576d4a3..50e9d8278 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -46,10 +46,10 @@ info: x-apidetailsdesc: |+ Provides number of available lots within Singapore's Housing Development Board. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ltacarparkhistorical/v0/getdata: post: @@ -418,7 +418,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Default limit changed description: Latest Version v0.1.1: From fa3eb8b2256cb1aa3658d0102543ab8ae4e86e79 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 19:55:21 +0530 Subject: [PATCH 4841/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index e2f249cd2..30c4e724d 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -37,10 +37,10 @@ info: x-apidetailsdesc: |+ Provides alerts of traffic lights that are currently faulty. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ltafaultytrafficlights/v0/getdata: post: @@ -311,7 +311,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Default limit changed description: Latest Version v0.1.1: From 90534be84e09ae2767ffea1fb7512e352a923b7d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 19:55:51 +0530 Subject: [PATCH 4842/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 61ab54daa..5caf2c228 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -38,10 +38,10 @@ info: x-apidetailsdesc: |+ Provides tap in and tap out passenger volume by weekdays and weekends for individual bus stop. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ltapvbus/v0/getdata: post: @@ -320,7 +320,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Default limit changed description: Latest Version v0.1.1: From 3500d168ad5096a30d8023553ab0293651b433c7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 19:56:29 +0530 Subject: [PATCH 4843/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index 21f23f8e0..92a15f506 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -38,10 +38,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ltaroadworks/v0/getdata: post: @@ -316,7 +316,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Default limit changed description: Latest Version v0.1.1: From 5baf84ed0fd8453e3dc85301aa13a107e69e7a32 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 19:57:23 +0530 Subject: [PATCH 4844/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 76ac18706..f76877a2e 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -50,10 +50,10 @@ info: x-apidetailsdesc: |+ Provides links to images of live traffic conditions. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ltatrafficimagesv2/v0/getdata: post: @@ -321,7 +321,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Default limit changed description: Latest Version v0.1.1: From 706761c6c0d90a8a19f0a2c0323cf2c28d855729 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 19:58:03 +0530 Subject: [PATCH 4845/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index c898f8764..fc7c452be 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -42,10 +42,10 @@ info: x-apidetailsdesc: |+ Provides real time incidents on the roads. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ltatrafficincidents/v0/getdata: post: @@ -365,7 +365,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Default limit changed description: Latest Version v0.1.1: From afa277036da5139681274c8706f35c4cfc2c587f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 19:58:30 +0530 Subject: [PATCH 4846/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index 95dace947..d0a203bc2 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -46,10 +46,10 @@ info: x-apidetailsdesc: |+ Provides current traffic speeds. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ltaspeedbandhistorical/v0/getdata: post: @@ -441,7 +441,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Default limit changed description: Latest Version v0.1.1: From 52eebcaf0563c60571c1a88da1093ff16ec41eef Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 19:58:53 +0530 Subject: [PATCH 4847/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index 8bf741869..dd942e672 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -40,7 +40,7 @@ info: x-apidetailsdesc: |+ Provides traffic advisories. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" description: "Published Date - Jun 30, 2022" @@ -310,7 +310,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Default limit changed description: Latest Version v0.1.1: From c3881de97111a0a9831eab273d040e35246f5b72 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 13 Jul 2022 20:27:23 +0530 Subject: [PATCH 4848/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index dd942e672..1acfe54f9 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -43,7 +43,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.2" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/ltavms/v0/getdata: post: From 6091a61d352b0d3aeda1c48a886373a8b2942563 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 14 Jul 2022 15:41:58 +0530 Subject: [PATCH 4849/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 56f734ff4..4e7ee2c20 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -62,10 +62,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/hardcourt/v2/getdata: post: @@ -369,7 +369,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Data structure changed description: Latest Version v2.0.0: From 8b632418eed11e1565bdb362d6beb2aa53882563 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 14 Jul 2022 15:42:57 +0530 Subject: [PATCH 4850/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index d4618ce8f..ab09e0a84 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -60,10 +60,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/lamppost/v2/getdata: post: @@ -364,7 +364,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Data structure changed description: Latest Version v2.0.0: From f224f640e3b086d26520b7eb64c49e29b30de692 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 14 Jul 2022 15:43:56 +0530 Subject: [PATCH 4851/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 5b0909fcc..339f8c8fe 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -58,10 +58,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.0" - description: "Published Date - Jun 30, 2022" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/shelter/v2/getdata: post: @@ -370,7 +370,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Data structure changed description: Latest Version v2.0.0: From 53fe56b5cdee4da593d4770221d7b084e41e4227 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 14 Jul 2022 15:51:53 +0530 Subject: [PATCH 4852/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index b7cb217da..ff820e86e 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -63,10 +63,10 @@ info: x-apidetailsdesc: | Provides returns all road works being / to be carried out. servers: - - url: https://dev-apis.sentient.io + - url: https://apis.sentient.io tags: - name: v2.1.0 - description: Published Date - Jun 30, 2022 + description: Published Date - Jul 13, 2022 paths: /microservices/data/fitnessstationplaygrnd/v2/getdata: post: @@ -376,7 +376,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30, 2022 + example: Published Date - Jul 13, 2022 x-details: Data structure changed description: Latest Version v2.0.0: From 7da960732a4f0246ea5d9dcce0b377c5f6a4f292 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 14 Jul 2022 15:57:22 +0530 Subject: [PATCH 4853/5916] Update residential_sales_and_rental_hdb_sg.yaml --- data/residential_sales_and_rental_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/residential_sales_and_rental_hdb_sg.yaml b/data/residential_sales_and_rental_hdb_sg.yaml index 8a430bca6..06058831b 100644 --- a/data/residential_sales_and_rental_hdb_sg.yaml +++ b/data/residential_sales_and_rental_hdb_sg.yaml @@ -514,7 +514,7 @@ components: items: oneOf: - type: string - example: Published Date - Jun 30,2022 + example: Published Date - Jul 13,2022 x-details: Optimized release description: Latest Version v1.0.0: From db6c325e53ac0cfd2e79b5d8b1c69c0f7c40453a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 19 Jul 2022 10:05:13 +0530 Subject: [PATCH 4854/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 5c96406a0..6abd2fa00 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Feb 18, 2022" From 4943233a3744fb80fe62efd38d21356ff1d5b53e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 19 Jul 2022 10:24:47 +0530 Subject: [PATCH 4855/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index c9b091717..d7e761afa 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Extracts to meaningful and structured data from Invoice docs. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 11, 2021" From 90c28a512d4bba3f9dd6e57974e2af2c746050ac Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 19 Jul 2022 10:25:04 +0530 Subject: [PATCH 4856/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 41d00332a..75be37425 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -20,7 +20,7 @@ info: x-apidetailsdesc: |+ Extracts to meaningful and structured data from Receipt docs. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 11, 2021" From f46c09415c933798380966137b0d25c08e39f6a3 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 20 Jul 2022 12:28:03 +0530 Subject: [PATCH 4857/5916] Update machine_translation.yaml --- nlp/machine_translation.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/nlp/machine_translation.yaml b/nlp/machine_translation.yaml index 42ddeff89..7ffb594cb 100644 --- a/nlp/machine_translation.yaml +++ b/nlp/machine_translation.yaml @@ -12,6 +12,7 @@ info: - en - english - ms - malay (minangkabau) - ta - tamil + **Suggested usecases:** It can be used to translate text for any applications, and can be augmented to internationalize NLP microservices provided by sentient.io. From 0c483af8b1c3fa15dcadf540ccf17c6c776086c8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:44:46 +0530 Subject: [PATCH 4858/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index bcb44ede6..944702e65 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -81,7 +81,7 @@ info: > filterdata = {"filter":[{"match_phrase": {"trade":"cake shop"}},{"match": {"block":"122"}},{"match_phrase": {"street":"bukit merah lane 1"}}]} - version: '1.1.0' + version: '1.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -98,13 +98,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/hdb_searchdir/v1/getdata: get: tags: - - v1.1.0 + - v1.0.1 parameters: - in: query name: querystring @@ -500,7 +500,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -515,7 +515,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Older Version + description: Archived v0.1.0: type: array items: From af1f1fca48396154585b8dd25d5f7b5217e0ca58 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:45:07 +0530 Subject: [PATCH 4859/5916] Update commercial_directories_hdb_sg_v0.1.yaml --- data/commercial_directories_hdb_sg_v0.1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/data/commercial_directories_hdb_sg_v0.1.yaml b/data/commercial_directories_hdb_sg_v0.1.yaml index a4a07c028..7d3b3f1ad 100644 --- a/data/commercial_directories_hdb_sg_v0.1.yaml +++ b/data/commercial_directories_hdb_sg_v0.1.yaml @@ -517,6 +517,14 @@ components: versions: type: object properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13,2022 + x-details: Optimized release + description: Latest Version v1.0.0: type: array items: @@ -524,7 +532,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Latest Version + description: Archived v0.1.0: type: array items: From cd8cc585b9d9565a37925fc60b8ccd9ac2b1d0c2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:46:53 +0530 Subject: [PATCH 4860/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 2896fe32d..42ef6fb9d 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -76,7 +76,7 @@ info: Using a filterdata only: > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.368960,103.957980"}}]} - version: '1.1.0' + version: '1.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -93,13 +93,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/directories_searchbranch/v1/getdata: get: tags: - - v1.1.0 + - v1.0.1 parameters: - in: query name: querystring @@ -399,7 +399,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -414,7 +414,7 @@ components: - type: string example: Published Date - May 21, 2021 x-details: Optimized release - description: Older Version + description: Archived v0.1.0: type: array items: From fb4fed83fce75b8bd3e50b92fe60a9ff2e69de7f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:47:54 +0530 Subject: [PATCH 4861/5916] Update residential_sales_and_rental_hdb_sg.yaml --- data/residential_sales_and_rental_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/residential_sales_and_rental_hdb_sg.yaml b/data/residential_sales_and_rental_hdb_sg.yaml index 06058831b..8f1a2bda8 100644 --- a/data/residential_sales_and_rental_hdb_sg.yaml +++ b/data/residential_sales_and_rental_hdb_sg.yaml @@ -80,7 +80,7 @@ info: > filterdata = {"filter":[{"match_phrase": {"street":"bishan street 24"}},{"range": {"4room_sold":{"gte":1}}}]} - version: '1.1.0' + version: '1.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -97,13 +97,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/buildinginfo/v1/getdata: get: tags: - - v1.1.0 + - v1.0.1 parameters: - in: query name: querystring @@ -509,7 +509,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: From 5b7ce675a67994ed2e838d176de0c1471201f412 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:49:18 +0530 Subject: [PATCH 4862/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 387e36843..489a7f1c8 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -101,13 +101,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/carpark/v1/getdata: get: tags: - - v1.1.0 + - v1.0.1 parameters: - in: query name: querystring @@ -465,7 +465,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -480,7 +480,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Older Version + description: Archived v0.2.0: type: array items: From 7328aef4f16f0bac8b4df7578525ed79558eb7be Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:50:16 +0530 Subject: [PATCH 4863/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index 37038fe82..f95f99f26 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -79,7 +79,7 @@ info: Using a filterdata only: > {"filter":[{"terms":{"postalcode":[560720,560721]}},{"match":{"gender":"female"}},{"terms":{"age_group_id":[6]}}]} - version: '1.1.0' + version: '1.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -96,13 +96,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date -Jul 13, 2022" paths: /microservices/data/demographics/v1/getdata: get: tags: - - v1.1.0 + - v1.0.1 parameters: - in: query name: querystring @@ -453,7 +453,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -468,7 +468,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Older Version + description: Archived v0.1.0: type: array items: From 112d98f6be24de390444e7f6a75b752c87a4e48f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:51:50 +0530 Subject: [PATCH 4864/5916] Update flat_ownership_hdb_sg.yaml --- data/flat_ownership_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/flat_ownership_hdb_sg.yaml b/data/flat_ownership_hdb_sg.yaml index 52978109c..d9dfcc882 100644 --- a/data/flat_ownership_hdb_sg.yaml +++ b/data/flat_ownership_hdb_sg.yaml @@ -76,7 +76,7 @@ info: Using a filterdata only: > filterdata = {"filter":[{"match":{"street":"ang mo kio"}},{"match":{"len_of_ownership_id":"1"}}]} - version: '1.1.0' + version: '1.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -93,13 +93,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/ownership/v1/getdata: get: tags: - - v1.1.0 + - v1.0.1 parameters: - in: query name: querystring @@ -444,7 +444,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -459,7 +459,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Older version + description: Archived v0.1.0: type: array items: From 24043f538682700fb393a5e3eaa7f2924175d2bd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:52:50 +0530 Subject: [PATCH 4865/5916] Update season_parking_availability_hdb_sg.yaml --- data/season_parking_availability_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/season_parking_availability_hdb_sg.yaml b/data/season_parking_availability_hdb_sg.yaml index 3c976f380..73d7ecd8e 100644 --- a/data/season_parking_availability_hdb_sg.yaml +++ b/data/season_parking_availability_hdb_sg.yaml @@ -78,7 +78,7 @@ info: > filterdata = {"filter":[{"match":{"street":"serangoon north avenue 4"}},{"match":{"block":"503"}},{"match":{"vehicle_type":"H"}}]} - version: '1.1.0' + version: '1.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -95,13 +95,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13,2022" paths: /microservices/data/carparkavailability/v1/getdata: get: tags: - - v1.1.0 + - v1.0.1 parameters: - in: query name: querystring @@ -443,7 +443,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -458,7 +458,7 @@ components: - type: string example: Published Date - May 21,2021 x-details: Optimized release - description: Older Version + description: Archived v0.1.0: type: array items: From 735204852efdd702760ef4fe4ff4c6a0e5998c12 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:53:53 +0530 Subject: [PATCH 4866/5916] Update directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index ffda3e551..30f74310b 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -85,13 +85,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date -Jul 13, 2022" paths: /microservices/data/directories_searchdir/v1/getdata: get: tags: - - v1.1.0 + - v1.0.1 parameters: - in: query name: querystring @@ -537,7 +537,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -552,7 +552,7 @@ components: - type: string example: Published Date - May 21, 2021 x-details: Optimized release - description: Older Version + description: Archived v0.1.0: type: array items: From 768598a36ca5f289a71ca1318c05ca311334f5e0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:54:59 +0530 Subject: [PATCH 4867/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index ff820e86e..960b10cfe 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -48,7 +48,7 @@ info: > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - version: 2.1.0 + version: 2.0.1 x-apitype: small file x-apitypedescription: | Fast | Single-Call | 10MB/Call @@ -65,13 +65,13 @@ info: servers: - url: https://apis.sentient.io tags: - - name: v2.1.0 + - name: v2.0.1 description: Published Date - Jul 13, 2022 paths: /microservices/data/fitnessstationplaygrnd/v2/getdata: post: tags: - - v2.1.0 + - v2.0.1 responses: '200': description: Ok @@ -371,7 +371,7 @@ components: versions: type: object properties: - v2.1.0: + v2.0.1: type: array items: oneOf: @@ -386,7 +386,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Older Version + description: Archived v1.0.0: type: array items: From 555d8a1dde5eda59982077ae28a6863611846c03 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:55:57 +0530 Subject: [PATCH 4868/5916] Update fitness_stations_and_playgrounds_hdb_sg_v1.yaml --- data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml b/data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml index e545e518a..6d2976bdf 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml @@ -234,6 +234,14 @@ components: versions: type: object properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Optimized release + description: Latest Version v1.0.0: type: array items: @@ -241,7 +249,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized release - description: Latest Version + description: Archived v0.1.0: type: array items: From ccd7f4ac5d2f0ca96359e3166b0d25230c5b2858 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:57:19 +0530 Subject: [PATCH 4869/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index ab09e0a84..f93dff923 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -45,7 +45,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.1.0' + version: '2.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -62,13 +62,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.1.0" +- name: "v2.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/lamppost/v2/getdata: post: tags: - - v2.0.0 + - v2.0.1 responses: '200': description: Ok @@ -359,7 +359,7 @@ components: versions: type: object properties: - v2.1.0: + v2.0.1: type: array items: oneOf: @@ -374,7 +374,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Older Version + description: Archived v1.0.0: type: array items: From 3dfe7dfb0bd0b357526413a64e49bd12048aaba7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:57:40 +0530 Subject: [PATCH 4870/5916] Update amenities_lamp_posts_hdb_sg_v1.yaml --- data/amenities_lamp_posts_hdb_sg_v1.yaml | 20 ++++++++++++++++++-- 1 file changed, 18 insertions(+), 2 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg_v1.yaml b/data/amenities_lamp_posts_hdb_sg_v1.yaml index 04ea9e468..0dbb11300 100644 --- a/data/amenities_lamp_posts_hdb_sg_v1.yaml +++ b/data/amenities_lamp_posts_hdb_sg_v1.yaml @@ -235,6 +235,22 @@ components: versions: type: object properties: + v2.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Data structure changed + description: Latest Version + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 08, 2022 + x-details: Data structure changed + description: Archived v1.0.0: type: array items: @@ -242,7 +258,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized release - description: Latest Version + description: Archived v0.1.0: type: array items: @@ -250,7 +266,7 @@ components: - type: string example: Published Date - Mar 24, 2020 x-details: Initial version release - description: Archived + description: Archived securitySchemes: APIAuthorizer: type: apiKey From f4ef365467da791a037bad8202290d70dde6bccc Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:59:03 +0530 Subject: [PATCH 4871/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 4e7ee2c20..88eb85c59 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -47,7 +47,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.1.0' + version: '2.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -64,13 +64,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.1.0" +- name: "v2.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/hardcourt/v2/getdata: post: tags: - - v2.1.0 + - v2.0.1 responses: '200': description: Ok @@ -364,7 +364,7 @@ components: versions: type: object properties: - v2.1.0: + v2.0.1: type: array items: oneOf: @@ -379,7 +379,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Older Version + description: Archived v1.0.0: type: array items: From b28c9066fe71d3ac0183856fe8dc5ee6f5ba6040 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 14:59:18 +0530 Subject: [PATCH 4872/5916] Update amenities_hardcourts_hdb_sg_v1.yaml --- data/amenities_hardcourts_hdb_sg_v1.yaml | 22 +++++++++++++++++++--- 1 file changed, 19 insertions(+), 3 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg_v1.yaml b/data/amenities_hardcourts_hdb_sg_v1.yaml index 20472df32..af762d0a8 100644 --- a/data/amenities_hardcourts_hdb_sg_v1.yaml +++ b/data/amenities_hardcourts_hdb_sg_v1.yaml @@ -232,7 +232,23 @@ components: example: Failure versions: type: object - properties: + properties: + v2.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Data structure changed + description: Latest Version + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 08, 2022 + x-details: Data structure changed + description: Archived v1.0.0: type: array items: @@ -240,7 +256,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized release - description: Latest Version + description: Archived v0.1.0: type: array items: @@ -248,7 +264,7 @@ components: - type: string example: Published Date - Mar 24, 2020 x-details: Initial version release - description: Archived + description: Archived securitySchemes: APIAuthorizer: type: apiKey From 0525ff48c0128752e9d08739ea5e18407edf4933 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:00:28 +0530 Subject: [PATCH 4873/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index 339f8c8fe..f2d519b24 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -43,7 +43,7 @@ info: **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} - version: '2.1.0' + version: '2.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -60,13 +60,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.1.0" +- name: "v2.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/shelter/v2/getdata: post: tags: - - v2.1.0 + - v2.0.1 responses: '200': description: Ok @@ -365,7 +365,7 @@ components: versions: type: object properties: - v2.1.0: + v2.0.1: type: array items: oneOf: @@ -380,7 +380,7 @@ components: - type: string example: Published Date - Apr 08, 2022 x-details: Data structure changed - description: Older Version + description: Archived v1.0.0: type: array items: From 2663c0371ad90118fb737f31b8c412fed1d112f8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:00:40 +0530 Subject: [PATCH 4874/5916] Update amenities_shelters_hdb_sg_v1.yaml --- data/amenities_shelters_hdb_sg_v1.yaml | 22 ++++++++++++++++++++-- 1 file changed, 20 insertions(+), 2 deletions(-) diff --git a/data/amenities_shelters_hdb_sg_v1.yaml b/data/amenities_shelters_hdb_sg_v1.yaml index b3bb72b73..c001461ad 100644 --- a/data/amenities_shelters_hdb_sg_v1.yaml +++ b/data/amenities_shelters_hdb_sg_v1.yaml @@ -232,20 +232,38 @@ components: versions: type: object properties: + v2.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Data structure changed + description: Latest Version + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Apr 08, 2022 + x-details: Data structure changed + description: Archived v1.0.0: type: array items: oneOf: - type: string example: Published Date - Apr 15, 2021 - description: Optimized release + x-details: Optimized release + description: Archived v0.1.0: type: array items: oneOf: - type: string example: Published Date - Mar 24, 2020 - description: Initial version release + x-details: Initial version release + description: Archived securitySchemes: APIAuthorizer: type: apiKey From b29b59312445b71e595282cb6d80d52d6432f888 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:01:57 +0530 Subject: [PATCH 4875/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index 84ab924da..719db467b 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -6,7 +6,7 @@ info: Suggested Use Cases: - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships. - Aside from being able to protect your business via litigation checks to safeguard against reputational risk by avoiding companies potentially involved in financial crimes, the information from this microservice can serve as a quick solution for analysts or lawyers in a company whom are looking to draft documents related to cooperate finance or legal domains with one quick search. - version: '1.1.0' + version: '1.0.1' x-subscribelink: d&b_business_check_plus_sg x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/sbcp/v1/getdata: post: tags: - - v1.1.0 + - v1.0.1 summary: Adds a new user requestBody: content: @@ -2477,7 +2477,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -2492,7 +2492,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json Format - description: Older Version + description: Archived v0.1.0: type: array items: From 2d4ec5c11d3d3cc90064d15ca2321926ec2accae Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:02:59 +0530 Subject: [PATCH 4876/5916] Update dnb_basic_individual_search_sg.yaml --- data/dnb_basic_individual_search_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/dnb_basic_individual_search_sg.yaml b/data/dnb_basic_individual_search_sg.yaml index f2ac03e10..70a3f2069 100644 --- a/data/dnb_basic_individual_search_sg.yaml +++ b/data/dnb_basic_individual_search_sg.yaml @@ -7,7 +7,7 @@ info: Suggested Use Cases: - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation. - Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. - version: '1.1.0' + version: '1.0.1' x-subscribelink: d&b_basic_individual_search_sg x-apitype: small file x-apitypedescription: |+ @@ -25,13 +25,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/sbis/v1/getdata: post: tags: - - v1.1.0 + - v1.0.1 summary: Adds a new user requestBody: content: @@ -1393,7 +1393,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -1408,7 +1408,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json Format - description: Older Version + description: Archived v0.1.0: type: array items: From 46b0e0a60d3156ccbed0b517dccf72d0aa62be76 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:03:41 +0530 Subject: [PATCH 4877/5916] Update d&b_basic_individual_search_sg_v0.1.yaml --- data/d&b_basic_individual_search_sg_v0.1.yaml | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/data/d&b_basic_individual_search_sg_v0.1.yaml b/data/d&b_basic_individual_search_sg_v0.1.yaml index 85c228599..9a7c2ce05 100644 --- a/data/d&b_basic_individual_search_sg_v0.1.yaml +++ b/data/d&b_basic_individual_search_sg_v0.1.yaml @@ -1302,7 +1302,15 @@ components: default: false versions: type: object - properties: + properties: + v1.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Optimized and Standardized results in Json Format + description: Latest Version v1.0.0: type: array items: @@ -1310,7 +1318,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json Format - description: Latest Version + description: Archived v0.1.0: type: array items: From 1585c9a562411ddb2c25f98d4dd7225b212a4712 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:05:15 +0530 Subject: [PATCH 4878/5916] Update d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index c4979a338..7feab8486 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -10,7 +10,7 @@ info: - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements. - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime. - It can also be used for finance-related domains such as vehicle leasing, loans, enterprise credit terms and so on. Updated daily. - version: '1.1.0' + version: '1.0.1' x-subscribelink: d&b_business_check_sg x-apitype: small file x-apitypedescription: |+ @@ -28,13 +28,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/sbc/v1/getdata: post: tags: - - v1.1.0 + - v1.0.1 summary: Adds a new user requestBody: content: @@ -1486,7 +1486,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -1501,7 +1501,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json Format - description: Older version + description: Archived v0.1.0: type: array items: From e54ad26f488352ea93d857710d84d3f9985c9394 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:06:11 +0530 Subject: [PATCH 4879/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index 4bf7562fc..b14e34ff7 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -6,7 +6,7 @@ info: Suggested Use Cases: - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios. - Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. - version: '1.1.0' + version: '1.0.1' x-subscribelink: d&b_brief_financial_information_sg x-apitype: small file x-apitypedescription: |+ @@ -24,13 +24,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.1.0" +- name: "v1.0.1" description: "Published Date - Jul 13, 2022" paths: /microservices/data/sbfe/v1/getdata: post: tags: - - v1.1.0 + - v1.0.1 summary: Adds a new user requestBody: content: @@ -1591,7 +1591,7 @@ components: versions: type: object properties: - v1.1.0: + v1.0.1: type: array items: oneOf: @@ -1606,7 +1606,7 @@ components: - type: string example: Published Date - Apr 15, 2021 x-details: Optimized and Standardized results in Json format - description: Older Version + description: Archived v0.1.0: type: array items: From 9f863b530de28b29cdcc5add868fc2133e5bfa60 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:08:32 +0530 Subject: [PATCH 4880/5916] Update hdb_amenities_score.yaml --- data/hdb_amenities_score.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/data/hdb_amenities_score.yaml b/data/hdb_amenities_score.yaml index 9ea156a4e..390bde824 100644 --- a/data/hdb_amenities_score.yaml +++ b/data/hdb_amenities_score.yaml @@ -4,7 +4,7 @@ info: title: HDB Amenities Score description: |+ This Data microservice returns amenity scores for various amenity types with an input of a Singapore postal code. - version: v0.1.0 + version: v0.2.0 x-subscribelink: hdb_amenities_score x-apitype: small file x-apitypedescription: |+ @@ -22,13 +22,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - May 12, 2021" +- name: "v0.2.0" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/fetchamenityscore/v0/getpredictions: post: tags: - - v0.1.0 + - v0.2.0 responses: '200': description: success response @@ -281,6 +281,14 @@ components: versions: type: object properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 13, 2022 + x-details: Fast conversion + description: Latest Version v0.1.0: type: array items: @@ -288,7 +296,7 @@ components: - type: string example: Published Date - May 12, 2021 x-details: Initial Release - description: Latest Version + description: Archived input: type: object required: From c618d34577f038306016fbcbc5576875fff9f88f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:10:21 +0530 Subject: [PATCH 4881/5916] Update realtime_weather.yaml --- data/realtime_weather.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/realtime_weather.yaml b/data/realtime_weather.yaml index 846e74fe1..5a76b069b 100644 --- a/data/realtime_weather.yaml +++ b/data/realtime_weather.yaml @@ -398,7 +398,7 @@ components: - type: string example: Published Date - Feb 28, 2021 x-details: Initial version release - description: Older Version + description: Archived input: type: object required: From 72ea2216d7eb10ba21d1ac2fc2028ca2c3768f22 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:11:06 +0530 Subject: [PATCH 4882/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index 92a15f506..47936f738 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -326,7 +326,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Older Version + description: Archived v0.1.0: type: array items: From f15a862b11a9ce5aabc5872520cd2b4e4da7cebc Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:11:56 +0530 Subject: [PATCH 4883/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 50e9d8278..746af8079 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -428,7 +428,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Older Version + description: Archived v0.1.0: type: array items: From be94b9c54e41268f2fe8d59e1549ef3beb4ef5f6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:12:18 +0530 Subject: [PATCH 4884/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index f76877a2e..0966285dc 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -331,7 +331,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Older Version + description: Archived v0.1.0: type: array items: From c9a113961ec3ef3ad0250c07fb410fb6bbe142ea Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:12:50 +0530 Subject: [PATCH 4885/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index fc7c452be..98bad9e49 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -375,7 +375,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Older Version + description: Archived v0.1.0: type: array items: From e76c1fa2abb736f7e4feaa04b86860df8b9fdf43 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:13:14 +0530 Subject: [PATCH 4886/5916] Update lta_traffic_speed_bands_historical.yaml --- data/lta_traffic_speed_bands_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_speed_bands_historical.yaml b/data/lta_traffic_speed_bands_historical.yaml index d0a203bc2..e28da8a4a 100644 --- a/data/lta_traffic_speed_bands_historical.yaml +++ b/data/lta_traffic_speed_bands_historical.yaml @@ -451,7 +451,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Older Version + description: Archived v0.1.0: type: array items: From 2d79a88a5314aeeeb9680ae0b05412a3beaf1815 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:13:41 +0530 Subject: [PATCH 4887/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index 1acfe54f9..b5c228b65 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -320,7 +320,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Older Version + description: Archived v0.1.0: type: array items: From c381b8ba5724f793ed1a3e21f796ae5f401a657c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:14:13 +0530 Subject: [PATCH 4888/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index 30c4e724d..30608ebdc 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -321,7 +321,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Older Version + description: Archived v0.1.0: type: array items: From dc11d0556c7ea64d86e0efdd0814596bec33bd45 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:14:38 +0530 Subject: [PATCH 4889/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 5caf2c228..1cad348b6 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -330,7 +330,7 @@ components: - type: string example: Published Date - May 05, 2022 x-details: Default limit changed - description: Older Version + description: Archived v0.1.0: type: array items: From e617208de9394c0f981c4c63ca6835a878b0f6c8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:15:33 +0530 Subject: [PATCH 4890/5916] Update lidar_trajectory_data.yaml --- data/lidar_trajectory_data.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lidar_trajectory_data.yaml b/data/lidar_trajectory_data.yaml index ef91ccad5..de94bfaab 100644 --- a/data/lidar_trajectory_data.yaml +++ b/data/lidar_trajectory_data.yaml @@ -360,7 +360,7 @@ components: - type: string example: Published Date - Feb 01, 2022 x-details: Initial version release - description: Older Version + description: Archived input: type: object properties: From 816f5859a99b925949addeb49c2ecbedeaff8ee8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:16:02 +0530 Subject: [PATCH 4891/5916] Update train_stations_sg.yaml --- data/train_stations_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/train_stations_sg.yaml b/data/train_stations_sg.yaml index 4d54a235d..1fcfb2dc5 100644 --- a/data/train_stations_sg.yaml +++ b/data/train_stations_sg.yaml @@ -340,7 +340,7 @@ components: - type: string example: Published Date - Oct 29, 2021 x-details: Initial version release - description: Older Version + description: Archived input: type: object properties: From 57c1443b8779a3b1325e89183b5dc57d2929b7c5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 22 Jul 2022 15:16:10 +0530 Subject: [PATCH 4892/5916] Update index.yaml --- index.yaml | 34 +++++++++++++++++----------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/index.yaml b/index.yaml index 3d9d94c7f..780af3c0c 100644 --- a/index.yaml +++ b/index.yaml @@ -359,76 +359,76 @@ data: commercial_directories_hdb_sg: title: HDB Commercial Directories (SG) versions: - 1.1.0: 'commercial_directories_hdb_sg.yaml' + 1.0.1: 'commercial_directories_hdb_sg.yaml' building_addresses_hdb_sg: title: HDB Block Coordinates (SG) versions: - 1.1.0: 'building_addresses_hdb_sg.yaml' + 1.0.1: 'building_addresses_hdb_sg.yaml' residential_sales_and_rental_hdb_sg: title: HDB Residential Occupancy Status (SG) versions: - 1.1.0: 'residential_sales_and_rental_hdb_sg.yaml' + 1.0.1: 'residential_sales_and_rental_hdb_sg.yaml' carpark_hdb_sg: title: HDB Carpark Locations (SG) versions: - 1.1.0: 'carpark_hdb_sg.yaml' + 1.0.1: 'carpark_hdb_sg.yaml' demographics_hdb_sg: title: HDB Demographics (SG) versions: - 1.1.0: 'demographics_hdb_sg.yaml' + 1.0.1: 'demographics_hdb_sg.yaml' flat_ownership_hdb_sg: title: HDB Flat Ownership Duration (SG) versions: - 1.1.0: 'flat_ownership_hdb_sg.yaml' + 1.0.1: 'flat_ownership_hdb_sg.yaml' season_parking_availability_hdb_sg: title: HDB Season Parking Availability (SG) versions: - 1.1.0: 'season_parking_availability_hdb_sg.yaml' + 1.0.1: 'season_parking_availability_hdb_sg.yaml' directory_of_singapore_startups: title: Directory of Singapore Startups versions: - 1.1.0: 'directory_of_singapore_startups.yaml' + 1.0.1: 'directory_of_singapore_startups.yaml' fitness_stations_and_playgrounds_hdb_sg: title: HDB Fitness Stations and Playgrounds (SG) versions: - 2.1.0: 'fitness_stations_and_playgrounds_hdb_sg.yaml' + 2.0.1: 'fitness_stations_and_playgrounds_hdb_sg.yaml' 1.0.0: 'fitness_stations_and_playgrounds_hdb_sg_v1.yaml' amenities_lamp_posts_hdb_sg: title: HDB Lamp Posts Locations (SG) versions: - 2.1.0: 'amenities_lamp_posts_hdb_sg.yaml' + 2.0.1: 'amenities_lamp_posts_hdb_sg.yaml' 1.0.0: 'amenities_lamp_posts_hdb_sg_v1.yaml' amenities_hardcourts_hdb_sg: title: HDB Hardcourts Locations (SG) versions: - 2.1.0: 'amenities_hardcourts_hdb_sg.yaml' + 2.0.1: 'amenities_hardcourts_hdb_sg.yaml' 1.0.0: 'amenities_hardcourts_hdb_sg_v1.yaml' amenities_shelters_hdb_sg: title: HDB Shelters Locations (SG) versions: - 2.1.0: 'amenities_shelters_hdb_sg.yaml' + 2.0.1: 'amenities_shelters_hdb_sg.yaml' 1.0.0: 'amenities_shelters_hdb_sg_v1.yaml' d&b_business_check_plus_sg: title: D&B Business Check Plus (SG) versions: - 1.1.0: 'd&b_business_check_plus_sg.yaml' + 1.0.1: 'd&b_business_check_plus_sg.yaml' d&b_basic_individual_search_sg: title: D&B Basic Individual Search (SG) versions: - 1.1.0: 'dnb_basic_individual_search_sg.yaml' + 1.0.1: 'dnb_basic_individual_search_sg.yaml' 0.1.0: 'd&b_basic_individual_search_sg_v0.1.yaml' d&b_business_check_sg: title: D&B Business Check (SG) versions: - 1.1.0: 'd&b_business_check_sg.yaml' + 1.0.1: 'd&b_business_check_sg.yaml' d&b_brief_financial_information_sg: title: D&B Brief Financial Information (SG) versions: - 1.1.0: 'd&b_brief_financial_information_sg.yaml' + 1.0.1: 'd&b_brief_financial_information_sg.yaml' hdb_amenities_score: title: HDB Amenities Score versions: - 0.1.0: 'hdb_amenities_score.yaml' + 0.2.0: 'hdb_amenities_score.yaml' trajectory_clustering: title: Trajectory Clustering versions: From e78e89e4ba4f5c9f58c60ed007e6d9ff3f00acc8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 25 Jul 2022 14:40:43 +0530 Subject: [PATCH 4893/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index 67e2d496c..4ba57e582 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -134,7 +134,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 08, 2022" From 4f41dbaced4330fdb681869ae9b55c9c92dd525b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 25 Jul 2022 15:36:14 +0530 Subject: [PATCH 4894/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index 4ba57e582..b3418b6c7 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -239,7 +239,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v0.1.0 From cdd10fe4f2ff7622893ce3cb8e61db04d26b90f9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 26 Jul 2022 13:56:47 +0530 Subject: [PATCH 4895/5916] Update index.yaml --- index.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/index.yaml b/index.yaml index 780af3c0c..2655425bf 100644 --- a/index.yaml +++ b/index.yaml @@ -70,11 +70,7 @@ voice: title: ASR with Voice Activity Detection ENG versions: 1.2.1: 'asr_with_voice_activity_detection_eng.yaml' - 0.1.0: 'asr_with_voice_activity_detection_eng_v0.1.yaml' - asr_with_voice_activity_detection_eng_large_file: - title: ASR with Voice Activity Detection ENG (Large File) - versions: - 0.1.0: 'asr_with_voice_activity_detection_eng_large_file.yaml' + 0.1.0: 'asr_with_voice_activity_detection_eng_v0.1.yaml' voice_activity_detection_eng: title: Voice Activity Detection ENG versions: From 0fad12d17143c427f34b3ca31af9677c6daa0382 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 27 Jul 2022 09:03:18 +0530 Subject: [PATCH 4896/5916] Update index.yaml --- index.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/index.yaml b/index.yaml index 2655425bf..da2c2492d 100644 --- a/index.yaml +++ b/index.yaml @@ -109,7 +109,6 @@ nlp: title: Inverse Text Normalisation ENG versions: 2.0.0: 'inverse_text_normalisation_eng.yaml' - 1.0.0: 'inverse_text_normalisation_eng_v1.0.yaml' named-entity_recognition_eng: title: Named-Entity Recognition ENG versions: @@ -123,10 +122,6 @@ nlp: title: Sentence Ranking versions: 0.1.0: 'sentence_ranking.yaml' - spacy_ner: - title: spaCy NER - versions: - 1.0.0: 'spacy_ner.yaml' page_profiler_eng: title: Page Profiler ENG versions: From 02728b25df1ac7d20c93444a11b575665edb629e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 27 Jul 2022 09:09:27 +0530 Subject: [PATCH 4897/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 3ab227943..0f8d4ee30 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -233,7 +233,7 @@ components: - type: string example: Published Date - Oct 30, 2020 x-details: Standardizing Output JSON - description: Version 1 release + description: Depreciated on Jul 07, 2022 v0.1.0: type: array items: From 6ccd43bd2c053a63edf8aba07f4c0ccc5fe5e7b9 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 27 Jul 2022 11:49:32 +0800 Subject: [PATCH 4898/5916] tts jp yaml modified --- voice/text_to_speech_jp.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index 879c17f87..9ad1b96b7 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Converts Japanese text to speech in a female voice. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 12, 2021" + description: "Published Date - Jul 27, 2022" paths: /microservices/voice/ttsjp/v0/getpredictions: post: @@ -238,7 +238,6 @@ components: pitch_scale: x-name: pitch_scale type: number - format: float default: False example: 0.5 description: |+ @@ -247,7 +246,6 @@ components: tempo_scale: x-name: tempo_scale type: number - format: float default: False example: 0.5 description: |+ From 917b2daa3e5f905ca7b02c830c85119cc92d48bb Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 27 Jul 2022 11:57:43 +0800 Subject: [PATCH 4899/5916] tts jp yaml modified --- voice/text_to_speech_jp.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index 9ad1b96b7..ea7c0db73 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -213,6 +213,14 @@ components: versions: type: object properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 27, 2022 + x-details: Latest Version - Parameter datatype bug fix + description: Bug fix v0.1.0: type: array items: From 6a930e3bf3ee802778ee198efac74da507f49b03 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 27 Jul 2022 12:02:40 +0530 Subject: [PATCH 4900/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 56ae5d178..e644eeac2 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-ms-apis.huawei.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jun 01, 2022" From 84d1a3d164ff1d0f932d484c4cfebab0d70d8de5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 27 Jul 2022 12:27:27 +0530 Subject: [PATCH 4901/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index c505af322..d59b99f76 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Jul 08, 2022" From 2827835592bcddd5e630dfb694ee986f7f5cc848 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 27 Jul 2022 12:29:30 +0530 Subject: [PATCH 4902/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index d59b99f76..a954f2070 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -274,7 +274,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v1.0.0 From a607ac953cf2724d5e3610603be1f00aab0c424d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 12:46:22 +0530 Subject: [PATCH 4903/5916] Create hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 476 ++++++++++++++++++++++++++++++++ 1 file changed, 476 insertions(+) create mode 100644 data/hdb_upgrade_programme.yaml diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml new file mode 100644 index 000000000..492bb7c2e --- /dev/null +++ b/data/hdb_upgrade_programme.yaml @@ -0,0 +1,476 @@ +openapi: 3.0.1 +info: + title: HDB Upgrade Programme (SG) + x-subscribelink: commercial_directories_hdb_sg + description: |+ + This Data microservice retrieves the list of all retail shops within Housing Development Board (HDB) and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates and type of business. The returned dataset offers useful information like the shop operating hours and contact number. Updated weekly. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + + x-additionalinfo : |+ + Suggested Use Cases: + - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: + Name retail shops in HDBs based on their GPS location. + + **Refining queries in the filterdata field using filter types and match types** + + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + + **Filter Types:** + + A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: + * **must** - All of the stated conditions must match. Equivalent to an AND operator. + > {"must":[{"match_phrase":{"street":"CLEMENTI WEST STREET 1"}}]} + * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. + + > {"must_not":[{"match":{"programme":"HIP"}}]} + * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. + + > {"should":[{"match":{"postal_code":120604}}]} + * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. + + > {"filter":[{"match":{"programme":"HIP"}}]} + For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + + **Match Types:** + + A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: + * **match** - Search within a full text field for a single word + > {"match":{"street":"CLEMENTI WEST STREET 1"}} + * **match_phrase** - Search within a full text field + > {"match_phrase":{ "street":CLEMENTI WEST STREET 1"}} + * **match_phrase_prefix** - Search within a full text field with prefix + > {"match_phrase_prefix":{"street":"CLEMENTI WEST STREET 1"}} + * **term** - Returns results that contain an exact term in a provided field + > {"term":{"postal_code":120604}} + * **terms** - Returns results that contain one or more exact terms in a provided field + > {"terms":{"postal_code":[120604,120605]}} + + * **range** - Returns results that contain terms within a stipulated range + + > {"range":{"postal_code":{"lte":120604}}} + > {"range":{"postal_code":{"gte":120604}}} + > {"range":{"postal_code":{"gte":120604,"lte":760415}}} + + * **exists** - Returns results that contain any indexed value for a field + + > {"exists":{ "field": "postal_code"}} + + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + **Forming sophisticated queries using combinations of filter types (in JSON)** + Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: + > { + > "must":[{"match_phrase":{"street":"CLEMENTI WEST STREET 1"}}], + > "filter":[{"match":{"programme":"HIP"}}], + > "should":[{"match":{"postal_code":120604}}], + > "must_not":[{"match":{"programme":"LUP"}}] + > } + **Sample Queries Based on Use Cases** + + 1. **Search for all commercial directories around ang mo kio street 21** + Using a querystring only: + > querystring = "ang mo kio street 21" + 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** + Using a filterdata only: + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} + + 3. **Search for all HIP programme at Blk 604, CLEMENTI WEST STREET 1** + Using a filterdata only: + + > filterdata = {"filter":[{"match_phrase": {"programme":"HIP"}},{"match": {"block":"604"}},{"match_phrase": {"street":"CLEMENTI WEST STREET 1"}}]} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Retrieves the list of all retail shops within Housing Development Board. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Aug 01, 2022" +paths: + /microservices/data/hdb_upgrade_programme/v0/getdata: + get: + tags: + - v0.1.0 + parameters: + - in: query + name: querystring + schema: + type: string + description: |+ + Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). + + If this field is set to null, by default the microservice will return all retail shops (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. + + example: "CLEMENTI WEST STREET 1" + required: false + - in: query + name: offset + schema: + type: integer + description: The offset of the record list ie the starting index + example: "0" + required: false + - in: query + name: limit + schema: + type: integer + description: The max records to return for the request. Default - 10, Max - 10000 + example: "10" + required: false + - in: query + name: filterdata + schema: + type: string + description: |+ + Refine the search further on any of the possible through the 4 filter types : + * must + * must_not + * should + * filter + required: false + example: |+ + {"must":[{"match_phrase":{"STREET":"CLEMENTI WEST STREET 1"}}],"filter":[{"match":{"Programme":"HIP"}}],"should":[{"match":{"Postal Code":120604}}],"must_not":[{"match":{"Programme":"LUP"}}]} + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + total: 3735 + max_score: 17.995623 + hits: + - _index: sentient_hdb_upgrade_prog_index + _type: dir_doc + _id: ofywPYIBJPcGcTBZClcI + _score: 18.239067 + _source: + programme: "HIP" + batch_no: "001" + postal_code: "120604" + precinct_code: "CLM01" + announcement_date: "2008-02-19" + development_status: "COMPLETED" + actual_start_of_construction: "2008-09-18" + actual_end_of_construction: "2010-06-14" + block: " 604 " + street: "CLEMENTI WEST STREET 1" + xcoord: "20677.0996" + ycoord: "31967.5996" + location: + lat: 1.30537726474036 + lon: 103.7675188978672 + createddate: "2022-07-27T11:25:21.962Z" + lastupdated: "2022-07-27T11:25:21.962Z" + source: "hdb" + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + format: int32 + example: 39 + description: Total number of records + max_score: + type: number + format: float + example: 18.239067 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + programme: + type: string + description: Programme + example: "HIP" + batch_no: + type: string + description: Batch Number + example: 001 + postal_code: + type: integer + format: int32 + description: Postal Code + example: "120604" + precinct_code: + type: string + description: Precinct Code + example: "CLM01" + source: + type: string + description: Dataset source + example: "hdb" + announcement_date: + type: string + description: Announcement Date + example: "2008-02-19" + development_status: + type: string + description: Development Status + example: "COMPLETED" + actual_start_of_construction: + type: string + description: Actual Start of Construction + example: "2008-09-18" + actual_end_of_construction: + type: string + description: Actual End of Construction + example: "2010-06-14" + block: + type: integer + format: int + description: Block Number + example: "604" + lastupdated: + type: string + format: date + description: Record last updated date + example: "2022-07-27" + createddate: + type: string + format: date + description: Record created date + example: "2022-07-27" + street: + type: string + description: Full street name + example: "CLEMENTI WEST STREET 1" + xcoord: + type: number + format: float + description: X - coordinates + example: 20677.0996 + ycoord: + type: number + format: float + description: Y - Coordinates + example: 31967.5996 + location: + type: object + description: Lat/Lon + example: {"lat":1.30537726474036,"lon":103.7675188978672} + properties: + lat: + type: number + format: float + description: Latitude + example: 1.30537726474036 + lon: + type: number + format: float + description: Longitude + example: 103.7675188978672 + message: + type: string + example: Successfully Processed + description: Description of the API status. + status: + type: string + example: Success + description: The status of the API call - success/failure. + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 01, 2022 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From b2690d2f3fee0ae5121ea84941e91c32d459b335 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 12:48:14 +0530 Subject: [PATCH 4904/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index da2c2492d..548e979dd 100644 --- a/index.yaml +++ b/index.yaml @@ -351,6 +351,10 @@ data: title: HDB Commercial Directories (SG) versions: 1.0.1: 'commercial_directories_hdb_sg.yaml' + hdb_upgrade_programme: + title: HDB Upgrade Programme (SG) + versions: + 0.1.0: 'hdb_upgrade_programme.yaml' building_addresses_hdb_sg: title: HDB Block Coordinates (SG) versions: From 338b34a11315035eede32f9b70dff6815f68504a Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:06:25 +0530 Subject: [PATCH 4905/5916] Update asr_en_unified.yaml changed the version number and changelog --- voice/asr_en_unified.yaml | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index e644eeac2..67bf2fe31 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -5,7 +5,7 @@ info: This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. This api supports upto 15 seconds audio file only. - version: '0.1.0' + version: '0.1.1' x-apitype: small file x-subscribelink: asr_en_unified x-apitypedescription: |+ @@ -23,13 +23,13 @@ info: servers: - url: 'https://dev-ms-apis.huawei.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Jun 01, 2022" +- name: "v0.1.1" + description: "Published Date - Jul 27, 2022" paths: /microservices/voice/asrenunified/v0/get_transcript: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: success response @@ -230,6 +230,14 @@ components: - type: string example: Published Date - Jun 01, 2022 x-details: Initial version release + description: Initial Version + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 27, 2022 + x-details: Patch release description: Latest Version securitySchemes: APIAuthorizer: From 75255bea072f0d8d471a203d6fea195bf6ca2665 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:08:13 +0530 Subject: [PATCH 4906/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index 492bb7c2e..4c7ed5216 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -10,8 +10,7 @@ info: x-additionalinfo : |+ Suggested Use Cases: - - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: - Name retail shops in HDBs based on their GPS location. + - This microservice can help companies such as Property Agencies, HDB Heartlanders and any person who wants to know HDB Upgrading & Estate Renewal Programmes. **Refining queries in the filterdata field using filter types and match types** @@ -52,7 +51,7 @@ info: > {"range":{"postal_code":{"lte":120604}}} > {"range":{"postal_code":{"gte":120604}}} - > {"range":{"postal_code":{"gte":120604,"lte":760415}}} + > {"range":{"postal_code":{"gte":120604,"lte":760716}}} * **exists** - Returns results that contain any indexed value for a field @@ -143,7 +142,7 @@ paths: * filter required: false example: |+ - {"must":[{"match_phrase":{"STREET":"CLEMENTI WEST STREET 1"}}],"filter":[{"match":{"Programme":"HIP"}}],"should":[{"match":{"Postal Code":120604}}],"must_not":[{"match":{"Programme":"LUP"}}]} + {"must":[{"match_phrase":{"street":"CLEMENTI WEST STREET 1"}}],"filter":[{"match":{"programme":"HIP"}}],"should":[{"match":{"postal_code":120604}}],"must_not":[{"match":{"programme":"LUP"}}]} responses: '200': description: Ok From 209079b3bb6d400d09f3955abc86752c7001329d Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:09:17 +0530 Subject: [PATCH 4907/5916] Update index.yaml added asr en unifed version update --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 548e979dd..feac1822a 100644 --- a/index.yaml +++ b/index.yaml @@ -95,7 +95,8 @@ voice: asr_en_unified: title: ASR EN Unified versions: - 0.1.0: 'asr_en_unified.yaml' + 0.1.0: 'asr_en_unified.yaml' + 0.1.1: 'asr_en_unified.yaml' speaker_emotion_recognition: title: Speaker Emotion Recognition versions: From b4ca735abe20723bda1db0209c4f901cdf821a1e Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:11:36 +0530 Subject: [PATCH 4908/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 8 -------- 1 file changed, 8 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 67bf2fe31..0e904d3a4 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -231,14 +231,6 @@ components: example: Published Date - Jun 01, 2022 x-details: Initial version release description: Initial Version - v0.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 27, 2022 - x-details: Patch release - description: Latest Version securitySchemes: APIAuthorizer: type: apiKey From 3120b7457755427d491e20fff819c23856b9724b Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:19:15 +0530 Subject: [PATCH 4909/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 0e904d3a4..c052692d9 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -231,6 +231,14 @@ components: example: Published Date - Jun 01, 2022 x-details: Initial version release description: Initial Version + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 27, 2022 + x-details: Patch version release + description: Initial Version Patch Release securitySchemes: APIAuthorizer: type: apiKey From 40fdf52f995ee3b08a55923eafc70898b06b6a78 Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:21:07 +0530 Subject: [PATCH 4910/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index c052692d9..857abbb25 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -231,7 +231,7 @@ components: example: Published Date - Jun 01, 2022 x-details: Initial version release description: Initial Version - v0.1.0: + v0.1.1: type: array items: oneOf: From 0eb56136b4f945e57f7f144439b61b858521ae06 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:22:15 +0530 Subject: [PATCH 4911/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 40 ++++++++++++++++----------------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index 4c7ed5216..6a0843fd0 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -20,16 +20,16 @@ info: A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: * **must** - All of the stated conditions must match. Equivalent to an AND operator. - > {"must":[{"match_phrase":{"street":"CLEMENTI WEST STREET 1"}}]} + > {"must":[{"match_phrase":{"street":"clementi+west+street+1"}}]} * **must_not** - All of the stated conditions must not match. Equivalent to a NOT operator. - > {"must_not":[{"match":{"programme":"HIP"}}]} + > {"must_not":[{"match":{"programme":"hip"}}]} * **should** - At least one of the stated conditions should match. Equivalent to an OR operator. - > {"should":[{"match":{"postal_code":120604}}]} + > {"should":[{"match":{"postalcode":120604}}]} * **filter** - All of the stated conditions that must match. However, results are not scored unlike the other filter types which returns results based on how well the conditions are met. - > {"filter":[{"match":{"programme":"HIP"}}]} + > {"filter":[{"match":{"programme":"hip"}}]} For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. @@ -37,34 +37,34 @@ info: A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: * **match** - Search within a full text field for a single word - > {"match":{"street":"CLEMENTI WEST STREET 1"}} + > {"match":{"street":"clementi+west+street+1"}} * **match_phrase** - Search within a full text field - > {"match_phrase":{ "street":CLEMENTI WEST STREET 1"}} + > {"match_phrase":{ "street":"clementi+west+street+1"}} * **match_phrase_prefix** - Search within a full text field with prefix - > {"match_phrase_prefix":{"street":"CLEMENTI WEST STREET 1"}} + > {"match_phrase_prefix":{"street":"clementi+west+street+1"}} * **term** - Returns results that contain an exact term in a provided field - > {"term":{"postal_code":120604}} + > {"term":{"postalcode":120604}} * **terms** - Returns results that contain one or more exact terms in a provided field - > {"terms":{"postal_code":[120604,120605]}} + > {"terms":{"postalcode":[120604,120605]}} * **range** - Returns results that contain terms within a stipulated range - > {"range":{"postal_code":{"lte":120604}}} - > {"range":{"postal_code":{"gte":120604}}} - > {"range":{"postal_code":{"gte":120604,"lte":760716}}} + > {"range":{"postalcode":{"lte":120604}}} + > {"range":{"postalcode":{"gte":120604}}} + > {"range":{"postalcode":{"gte":120604,"lte":760716}}} * **exists** - Returns results that contain any indexed value for a field - > {"exists":{ "field": "postal_code"}} + > {"exists":{ "field": "postalcode"}} For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). **Forming sophisticated queries using combinations of filter types (in JSON)** Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: > { - > "must":[{"match_phrase":{"street":"CLEMENTI WEST STREET 1"}}], - > "filter":[{"match":{"programme":"HIP"}}], - > "should":[{"match":{"postal_code":120604}}], - > "must_not":[{"match":{"programme":"LUP"}}] + > "must":[{"match_phrase":{"street":"clementi+west+street+1"}}], + > "filter":[{"match":{"programme":"hip"}}], + > "should":[{"match":{"postalcode":120604}}], + > "must_not":[{"match":{"programme":"lup"}}] > } **Sample Queries Based on Use Cases** @@ -78,7 +78,7 @@ info: 3. **Search for all HIP programme at Blk 604, CLEMENTI WEST STREET 1** Using a filterdata only: - > filterdata = {"filter":[{"match_phrase": {"programme":"HIP"}},{"match": {"block":"604"}},{"match_phrase": {"street":"CLEMENTI WEST STREET 1"}}]} + > filterdata = {"filter":[{"match_phrase": {"programme":"hip"}},{"match": {"block":"604"}},{"match_phrase": {"street":"clementi+west+street+1"}}]} version: '0.1.0' x-apitype: small file @@ -114,7 +114,7 @@ paths: If this field is set to null, by default the microservice will return all retail shops (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - example: "CLEMENTI WEST STREET 1" + example: "clementi+west+street+1" required: false - in: query name: offset @@ -142,7 +142,7 @@ paths: * filter required: false example: |+ - {"must":[{"match_phrase":{"street":"CLEMENTI WEST STREET 1"}}],"filter":[{"match":{"programme":"HIP"}}],"should":[{"match":{"postal_code":120604}}],"must_not":[{"match":{"programme":"LUP"}}]} + {"must":[{"match_phrase":{"street":"clementi+west+street+1"}}],"filter":[{"match":{"programme":"hip"}}],"should":[{"match":{"postalcode":120604}}],"must_not":[{"match":{"programme":"lup"}}]} responses: '200': description: Ok From 6ba3290323dc69300ae53a2462adbc26d77d68a3 Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:30:25 +0530 Subject: [PATCH 4912/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 857abbb25..dff4e454a 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -223,15 +223,7 @@ components: versions: type: object properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 01, 2022 - x-details: Initial version release - description: Initial Version - v0.1.1: + v0.1.1: type: array items: oneOf: @@ -239,6 +231,15 @@ components: example: Published Date - Jul 27, 2022 x-details: Patch version release description: Initial Version Patch Release + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 01, 2022 + x-details: Initial version release + description: Archived + securitySchemes: APIAuthorizer: type: apiKey From 7f5b964a30a322fcb54c6b2077f2d10b9670d7bf Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:30:57 +0530 Subject: [PATCH 4913/5916] Update index.yaml --- index.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/index.yaml b/index.yaml index feac1822a..acf881747 100644 --- a/index.yaml +++ b/index.yaml @@ -95,7 +95,6 @@ voice: asr_en_unified: title: ASR EN Unified versions: - 0.1.0: 'asr_en_unified.yaml' 0.1.1: 'asr_en_unified.yaml' speaker_emotion_recognition: title: Speaker Emotion Recognition From 79d550b313faf894e1221e353b5a2f23cacbd54e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:31:30 +0530 Subject: [PATCH 4914/5916] Update youtube_video_downloader.yaml --- utility/youtube_video_downloader.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/utility/youtube_video_downloader.yaml b/utility/youtube_video_downloader.yaml index 1eb1d9ab7..a3e133c5c 100644 --- a/utility/youtube_video_downloader.yaml +++ b/utility/youtube_video_downloader.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Can be integrated into apps used to download and watch videos when the user wants to save limited data. - version: '0.1.0' + version: '1.0.0' x-subscribelink: youtube_video_downloader x-apitype: small file x-apitypedescription: |+ @@ -22,13 +22,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v1.0.0" description: "Published Date - Nov 25, 2019" paths: - /microservices/utility/downloadyoutubevideos/v0.1/getresults: + /microservices/utility/downloadyoutubevideos/v0.2/getresults: post: tags: - - v0.1.0 + - v1.0.0 responses: '200': description: Ok @@ -218,12 +218,12 @@ components: versions: type: object properties: - v0.1.0: + v1.0.0: type: array items: oneOf: - type: string - example: Published Date - Nov 25, 2019 + example: Published Date - Aug 15, 2022 x-details: Initial version release description: Latest Version securitySchemes: From 8bebc6f2a609c1347133570d3e8db0c19c62c4e3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:32:41 +0530 Subject: [PATCH 4915/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index acf881747..6d25eb915 100644 --- a/index.yaml +++ b/index.yaml @@ -260,6 +260,10 @@ computer vision: versions: 0.1.0: 'receipt_scanner.yaml' utility: + youtube_video_downloader: + title: Video-To-Audio Convertor + versions: + 1.0.0: 'youtube_video_downloader.yaml' video-to-audio_converter: title: Video-To-Audio Convertor versions: From 696101b04d7b44c4bf6f309d7873627e19360493 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:34:07 +0530 Subject: [PATCH 4916/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 6d25eb915..f96360ccd 100644 --- a/index.yaml +++ b/index.yaml @@ -261,7 +261,7 @@ computer vision: 0.1.0: 'receipt_scanner.yaml' utility: youtube_video_downloader: - title: Video-To-Audio Convertor + title: Youtube Video Downloader versions: 1.0.0: 'youtube_video_downloader.yaml' video-to-audio_converter: From 5e9dbe68374f5988346c6539811e991a214fa4c5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:34:55 +0530 Subject: [PATCH 4917/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index 6a0843fd0..cf9f196ba 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -70,7 +70,7 @@ info: 1. **Search for all commercial directories around ang mo kio street 21** Using a querystring only: - > querystring = "ang mo kio street 21" + > querystring = "clementi+west+street+1" 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** Using a filterdata only: > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} From b861074595c881893d96db6dbb3469921f885ecf Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:36:12 +0530 Subject: [PATCH 4918/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index cf9f196ba..ef12b059f 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -68,7 +68,7 @@ info: > } **Sample Queries Based on Use Cases** - 1. **Search for all commercial directories around ang mo kio street 21** + 1. **Search for all commercial directories around clementi+west+street+1** Using a querystring only: > querystring = "clementi+west+street+1" 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** From 3a50cb9b18eb2029231bc3d1b6b80626145ba516 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:37:21 +0530 Subject: [PATCH 4919/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index ef12b059f..d50f00ec8 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -71,9 +71,9 @@ info: 1. **Search for all commercial directories around clementi+west+street+1** Using a querystring only: > querystring = "clementi+west+street+1" - 2. **Search for all commercial directories within a 1KM radius from Tampines Mall** + 2. **Search for all Upgrade Programmes within a 1KM radius** Using a filterdata only: - > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.3525,103.9447"}}]} + > filterdata = {"filter":[{"geo_distance": {"distance": "1km","location": "1.30537726474036,103.7675188978672"}}]} 3. **Search for all HIP programme at Blk 604, CLEMENTI WEST STREET 1** Using a filterdata only: From e62e4810a61823445adf9cf25a28448503370355 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:40:46 +0530 Subject: [PATCH 4920/5916] Update youtube_video_downloader.yaml --- utility/youtube_video_downloader.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/youtube_video_downloader.yaml b/utility/youtube_video_downloader.yaml index a3e133c5c..cf658f577 100644 --- a/utility/youtube_video_downloader.yaml +++ b/utility/youtube_video_downloader.yaml @@ -20,10 +20,10 @@ info: x-notes: |+ Payload size cannot exceed 10 MB. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Nov 25, 2019" + description: "Published Date - Aug 15, 2022" paths: /microservices/utility/downloadyoutubevideos/v0.2/getresults: post: From 3989499588631286cd222d91e452616993ed6fb9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:44:14 +0530 Subject: [PATCH 4921/5916] Update youtube_video_downloader.yaml --- utility/youtube_video_downloader.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/utility/youtube_video_downloader.yaml b/utility/youtube_video_downloader.yaml index cf658f577..f13bffbde 100644 --- a/utility/youtube_video_downloader.yaml +++ b/utility/youtube_video_downloader.yaml @@ -6,7 +6,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Can be integrated into apps used to download and watch videos when the user wants to save limited data. - version: '1.0.0' + version: '0.2.0' x-subscribelink: youtube_video_downloader x-apitype: small file x-apitypedescription: |+ @@ -22,13 +22,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" +- name: "v0.2.0" description: "Published Date - Aug 15, 2022" paths: /microservices/utility/downloadyoutubevideos/v0.2/getresults: post: tags: - - v1.0.0 + - v0.2.0 responses: '200': description: Ok @@ -218,7 +218,7 @@ components: versions: type: object properties: - v1.0.0: + v0.2.0: type: array items: oneOf: From f913eb57e90bd8970892b9632d879c51761189d4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:44:35 +0530 Subject: [PATCH 4922/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index f96360ccd..2619c2522 100644 --- a/index.yaml +++ b/index.yaml @@ -263,7 +263,7 @@ utility: youtube_video_downloader: title: Youtube Video Downloader versions: - 1.0.0: 'youtube_video_downloader.yaml' + 0.2.0: 'youtube_video_downloader.yaml' video-to-audio_converter: title: Video-To-Audio Convertor versions: From 36c7b316204e069ab05ebed38286c8f9a011a73f Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 14:57:22 +0530 Subject: [PATCH 4923/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index dff4e454a..995167645 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -230,7 +230,7 @@ components: - type: string example: Published Date - Jul 27, 2022 x-details: Patch version release - description: Initial Version Patch Release + description: Patch Release v0.1.0: type: array items: From e8c6bc52eba7fd320d35a0f3e53b12bd1db5de71 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 15:11:28 +0530 Subject: [PATCH 4924/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index d50f00ec8..4c80fae75 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -3,8 +3,23 @@ info: title: HDB Upgrade Programme (SG) x-subscribelink: commercial_directories_hdb_sg description: |+ - This Data microservice retrieves the list of all retail shops within Housing Development Board (HDB) and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates and type of business. The returned dataset offers useful information like the shop operating hours and contact number. Updated weekly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + This Data microservice list information of HDB Upgrading and Estate Renewal Programmes which includes: + - Lift Upgrading Programme + - Home Improvement Programme + - Neighbourhood Renewal Programme + - Interim Upgrading Programme or Interim Upgrading Programme Plus + - Main Upgrading Programme + - Selective En bloc Redevelopment Scheme
+ Information on HDB’s Upgrading Programmes: + - Announcement date + - Completion date + - Name of upgrading programme + - Latest status + - Precinct name/code + - Block + - Street + - XCOORD + - YCOORD **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). From 8a02994f100bb20c3a73434f9bff62bc2448aa8a Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 15:18:22 +0530 Subject: [PATCH 4925/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 995167645..9f755dc08 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -228,7 +228,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 27, 2022 + example: Published Date - Aug 04, 2022 x-details: Patch version release description: Patch Release v0.1.0: From 4fabde049d48cc68408847e4b5f5812828765d28 Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 15:19:07 +0530 Subject: [PATCH 4926/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 9f755dc08..bf7c5a20d 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -24,7 +24,7 @@ servers: - url: 'https://dev-ms-apis.huawei.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Jul 27, 2022" + description: "Published Date - Aug 05, 2022" paths: /microservices/voice/asrenunified/v0/get_transcript: post: From d15955198160c138e8aa1db525f9164468e37ae0 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 27 Jul 2022 17:54:16 +0800 Subject: [PATCH 4927/5916] tts jp yaml modified --- index.yaml | 2 +- voice/text_to_speech_jp.yaml | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/index.yaml b/index.yaml index 2619c2522..be1028f9a 100644 --- a/index.yaml +++ b/index.yaml @@ -57,7 +57,7 @@ voice: text-to-speech_jp: title: Text-To-Speech JP versions: - 0.1.0: 'text_to_speech_jp.yaml' + 0.1.1: 'text_to_speech_jp.yaml' text-to-speech_eng_ncs: title: Text-To-Speech ENG NCS versions: diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index ea7c0db73..80b4f26b4 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -8,7 +8,7 @@ info: User can adjust the pitch and tempo of the the synthesised speech. The input text **should not exceed 800 characters**. - version: v0.1.0 + version: v0.1.1 x-subscribelink: text-to-speech_jp x-apitype: small file x-apitypedescription: |+ @@ -26,13 +26,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.1.1" description: "Published Date - Jul 27, 2022" paths: /microservices/voice/ttsjp/v0/getpredictions: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: success response From 958787e8b8cc4e458da19e27da009aeb866fb5ab Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 27 Jul 2022 15:54:09 +0530 Subject: [PATCH 4928/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index bf7c5a20d..af1c77e94 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -24,7 +24,7 @@ servers: - url: 'https://dev-ms-apis.huawei.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Aug 05, 2022" + description: "Published Date - Aug 04, 2022" paths: /microservices/voice/asrenunified/v0/get_transcript: post: From 4f14472ece0b4708a6392f8bd6aeb269c054b295 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 15:55:49 +0530 Subject: [PATCH 4929/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index 4c80fae75..88f1e0ac5 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -20,6 +20,7 @@ info: - Street - XCOORD - YCOORD + - Location **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). From df17629841965e7924a165ac9dbdcce18b0c0265 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 27 Jul 2022 17:29:57 +0530 Subject: [PATCH 4930/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index a2e52403e..222540a5d 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Translate string based on language. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jan 27, 2022" From 05d9454401996a096ac8e7b40596269853cde5f0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 27 Jul 2022 17:30:32 +0530 Subject: [PATCH 4931/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 73670a6f1..a6075e723 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -324,7 +324,7 @@ info: x-apidetailsdesc: |+ Converts text to speech in a different voices. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Apr 20, 2022" From c840eba05a4b4bcd44019997e4f13cbf7cbabbdb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 27 Jul 2022 17:35:02 +0530 Subject: [PATCH 4932/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index ae4f7e4e2..dc4fd0086 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.2" description: "Published Date - Jul 08, 2022" From d866ce3b7181f44f89d28b274fb092d6132ca436 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 27 Jul 2022 17:37:24 +0530 Subject: [PATCH 4933/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index 88f1e0ac5..ebf090b5a 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -176,16 +176,16 @@ paths: _id: ofywPYIBJPcGcTBZClcI _score: 18.239067 _source: - programme: "HIP" + programme: "hip" batch_no: "001" postal_code: "120604" - precinct_code: "CLM01" + precinct_code: "clm01" announcement_date: "2008-02-19" - development_status: "COMPLETED" + development_status: "completed" actual_start_of_construction: "2008-09-18" actual_end_of_construction: "2010-06-14" block: " 604 " - street: "CLEMENTI WEST STREET 1" + street: "clementi west street 1" xcoord: "20677.0996" ycoord: "31967.5996" location: @@ -304,7 +304,7 @@ components: programme: type: string description: Programme - example: "HIP" + example: "hip" batch_no: type: string description: Batch Number @@ -317,7 +317,7 @@ components: precinct_code: type: string description: Precinct Code - example: "CLM01" + example: "clm01" source: type: string description: Dataset source @@ -329,7 +329,7 @@ components: development_status: type: string description: Development Status - example: "COMPLETED" + example: "completed" actual_start_of_construction: type: string description: Actual Start of Construction @@ -356,7 +356,7 @@ components: street: type: string description: Full street name - example: "CLEMENTI WEST STREET 1" + example: "clementi west street 1" xcoord: type: number format: float From 480e8f591a1301f800b80a1e178906a9f9ca1341 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Wed, 27 Jul 2022 22:18:43 +1000 Subject: [PATCH 4934/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 19 +++++++------------ 1 file changed, 7 insertions(+), 12 deletions(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index ebf090b5a..8ff4845f8 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -3,24 +3,19 @@ info: title: HDB Upgrade Programme (SG) x-subscribelink: commercial_directories_hdb_sg description: |+ - This Data microservice list information of HDB Upgrading and Estate Renewal Programmes which includes: + This Data microservice retrieves information on Housing Development Board (HDB) Upgrading and Estate Renewal Programmes in Singapore which includes: - Lift Upgrading Programme - Home Improvement Programme - Neighbourhood Renewal Programme - Interim Upgrading Programme or Interim Upgrading Programme Plus - Main Upgrading Programme - Selective En bloc Redevelopment Scheme
- Information on HDB’s Upgrading Programmes: - - Announcement date - - Completion date - - Name of upgrading programme - - Latest status - - Precinct name/code - - Block - - Street - - XCOORD - - YCOORD - - Location + + Information on update programmes are announcement date, completion date, name of upgrading programme, latest status, precinct name/code, block, street, postal code, latitude and longitude + coordinates. The information is updated quaterly. A successful call will return the results of the query in JSON format.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to + benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). From 992cb8969c1db34df90700bbd98eb2b20f6f60a7 Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 28 Jul 2022 15:44:23 +0800 Subject: [PATCH 4935/5916] New inversenorm added --- index.yaml | 2 +- nlp/inverse_text_normalisation_eng.yaml | 36 ++++++++++++++++++++----- 2 files changed, 30 insertions(+), 8 deletions(-) diff --git a/index.yaml b/index.yaml index be1028f9a..3335dd558 100644 --- a/index.yaml +++ b/index.yaml @@ -108,7 +108,7 @@ nlp: inverse_text_normalisation_eng: title: Inverse Text Normalisation ENG versions: - 2.0.0: 'inverse_text_normalisation_eng.yaml' + 2.0.1: 'inverse_text_normalisation_eng.yaml' named-entity_recognition_eng: title: Named-Entity Recognition ENG versions: diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 0f8d4ee30..3d59998c3 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -7,7 +7,7 @@ info: It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. The input text **should not exceed 5000 characters**. - version: '2.0.0' + version: '2.0.1' x-additionalinfo: |+ Suggested Use Cases: - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. @@ -28,13 +28,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - Apr 13, 2022" +- name: "v2.0.1" + description: "Published Date - Jul 28, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: tags: - - v2.0.0 + - v2.0.1 responses: '200': description: Ok @@ -216,6 +216,14 @@ components: versions: type: object properties: + v2.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jul 28, 2022 + x-details: Optional input parameter threshold replaced with 2 new optional parameters upper_threshold,lower_threshold. Also introducing a new optional parameter capitalised. + description: Optional input parameter threshold replaced with 2 new optional parameters upper_threshold,lower_threshold. Also introducing a new optional parameter capitalised. v2.0.0: type: array items: @@ -278,13 +286,27 @@ components: example: false description: |+ Convert text to ordinals only if text2digits_normalised parameter is True. Default is False. - threshold: - x-name: threshold + upper_threshold: + x-name: upper_threshold type: integer default: False example: 3000 description: |+ - Set a threshold for text2digits. Only convert number lower than the threshold. Default is 0. + Optional. Default = Infinity. Ignored if text2digits_normalised is False. Upper limit of number to be converted. E.g. If set to 3000, "three thousands" => "3000" and "three thousand and one" => "three thousand and one" + lower_threshold: + x-name: lower_threshold + type: integer + default: False + example: 0 + description: |+ + Optional. Default = Negative Infinity. Ignored if text2digits_normalised is False. Lower limit of number to be converted. E.g. If set to 10, "ten" => "ten" and "eleven" => "11" + capitalised: + x-name: capitalised + type: array + default: False + example: ["FY", "FYI"] + description: |+ + Optional. Default = []. Convert strings in list to ALL CAPs. E.g. ['FY', 'FYI'] securitySchemes: APIAuthorizer: type: apiKey From ffcb09ea7bdecb285c465f9ecc4148b48e974af0 Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 28 Jul 2022 15:46:42 +0800 Subject: [PATCH 4936/5916] New inversenorm added --- nlp/inverse_text_normalisation_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 3d59998c3..28389a96a 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -299,14 +299,14 @@ components: default: False example: 0 description: |+ - Optional. Default = Negative Infinity. Ignored if text2digits_normalised is False. Lower limit of number to be converted. E.g. If set to 10, "ten" => "ten" and "eleven" => "11" + Optional. Default = Negative Infinity. Ignored if text2digits_normalised is False. Lower limit of number to be converted. E.g. If set to 10, "ten" => "ten" and "eleven" => "11" capitalised: x-name: capitalised type: array default: False example: ["FY", "FYI"] description: |+ - Optional. Default = []. Convert strings in list to ALL CAPs. E.g. ['FY', 'FYI'] + Optional. Default = []. Convert strings in list to ALL CAPs. E.g. ['FY', 'FYI'] securitySchemes: APIAuthorizer: type: apiKey From 41985c58fcc04a22905e7047976e14d995d341d1 Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 28 Jul 2022 15:55:28 +0800 Subject: [PATCH 4937/5916] New inversenorm added --- nlp/inverse_text_normalisation_eng.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 28389a96a..f81b05a28 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -7,7 +7,7 @@ info: It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. The input text **should not exceed 5000 characters**. - version: '2.0.1' + version: '2.1.0' x-additionalinfo: |+ Suggested Use Cases: - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. @@ -28,13 +28,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.1" +- name: "v2.1.0" description: "Published Date - Jul 28, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: tags: - - v2.0.1 + - v2.1.0 responses: '200': description: Ok @@ -216,7 +216,7 @@ components: versions: type: object properties: - v2.0.1: + v2.1.0: type: array items: oneOf: From 3b40dfeb249d808e819ed04436b56707f02602fe Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 28 Jul 2022 16:26:56 +0800 Subject: [PATCH 4938/5916] index yaml edited for inversenorm --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 3335dd558..778e6b4bd 100644 --- a/index.yaml +++ b/index.yaml @@ -108,7 +108,7 @@ nlp: inverse_text_normalisation_eng: title: Inverse Text Normalisation ENG versions: - 2.0.1: 'inverse_text_normalisation_eng.yaml' + 2.1.0: 'inverse_text_normalisation_eng.yaml' named-entity_recognition_eng: title: Named-Entity Recognition ENG versions: From 4e1ed46f1c48d4f9b1c978a8463944f802efa9bd Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Thu, 28 Jul 2022 20:05:16 +0530 Subject: [PATCH 4939/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 9ba72e633..0b77b56fd 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -19,7 +19,7 @@ info: x-apidetailsdesc: |+ Generate Date from String. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.3.0" description: "Published Date - Jun 20, 2022" From 297d5a308c88f63a96a1039a5cece61987311aba Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 29 Jul 2022 12:26:19 +0530 Subject: [PATCH 4940/5916] Update youtube_video_downloader.yaml --- utility/youtube_video_downloader.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/youtube_video_downloader.yaml b/utility/youtube_video_downloader.yaml index f13bffbde..2707ff1c6 100644 --- a/utility/youtube_video_downloader.yaml +++ b/utility/youtube_video_downloader.yaml @@ -23,7 +23,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Aug 15, 2022" + description: "Published Date - Jul 29, 2022" paths: /microservices/utility/downloadyoutubevideos/v0.2/getresults: post: @@ -223,7 +223,7 @@ components: items: oneOf: - type: string - example: Published Date - Aug 15, 2022 + example: Published Date - Jul 29, 2022 x-details: Initial version release description: Latest Version securitySchemes: From 1f11a100fcc3705759ea6dfdfb9d88a49dd63046 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 29 Jul 2022 12:42:39 +0530 Subject: [PATCH 4941/5916] Update date_resolution.yaml --- utility/date_resolution.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/date_resolution.yaml b/utility/date_resolution.yaml index 0b77b56fd..9ba72e633 100644 --- a/utility/date_resolution.yaml +++ b/utility/date_resolution.yaml @@ -19,7 +19,7 @@ info: x-apidetailsdesc: |+ Generate Date from String. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.3.0" description: "Published Date - Jun 20, 2022" From 99d50cbe16466a1a271be7a7463af7178be90ff1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 29 Jul 2022 12:46:30 +0530 Subject: [PATCH 4942/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 38027005c..82b3636e1 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -21,7 +21,7 @@ info: x-notes: |+ File size cannot exceed 10 MB. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Apr 20, 2022" From 29aa5b5e2ab9d004de5f7baa192ef1c9e1858012 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 29 Jul 2022 14:02:44 +0530 Subject: [PATCH 4943/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index af1c77e94..a2d6714bf 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -11,13 +11,13 @@ info: x-apitypedescription: |+ Fast | Single-Call | 15 sec/Call x-inputfilelimit: |+ - Process up to 15 seconds (1 minute) of audio file. + Process up to 15 seconds of audio file. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 15 seconds (1 minute). + Limit cannot exceed 15 seconds. x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: From cc010f8a3a6b93b38a19cb99b57fdcd16ee2d668 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 29 Jul 2022 14:23:31 +0530 Subject: [PATCH 4944/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index a6075e723..73670a6f1 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -324,7 +324,7 @@ info: x-apidetailsdesc: |+ Converts text to speech in a different voices. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Apr 20, 2022" From 6d2e825eb74b777e97d8875081fec31705ede965 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 29 Jul 2022 14:24:18 +0530 Subject: [PATCH 4945/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index a954f2070..2cdee40ab 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Jul 08, 2022" From a8251dbed26a545ffc0e28352f0eb96f6c26c8fd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 29 Jul 2022 14:27:08 +0530 Subject: [PATCH 4946/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index 222540a5d..a2e52403e 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Translate string based on language. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jan 27, 2022" From 59bb09331f1453ca033f6726b4c7c30105871306 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 29 Jul 2022 14:27:20 +0530 Subject: [PATCH 4947/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index b3418b6c7..775658b1e 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -134,7 +134,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 08, 2022" From de7bd6f63b2c3811c5d275cfadcddde46ad2b3fb Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 1 Aug 2022 12:46:25 +0530 Subject: [PATCH 4948/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 18 ++++++++---------- 1 file changed, 8 insertions(+), 10 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 2fa20b1e2..3af57d713 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -4,9 +4,9 @@ info: description: |+ GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. - Language: English + **Language: English** - The model has token_length limit of maximum 100. + Note: The model has token_length limit of maximum 100. version: v0.1.0 x-subscribelink: text_generation_gptj6b servers: @@ -72,7 +72,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/invalidinput' + $ref: '#/components/schemas/invalidinput' '500': description: Internal Server error content: @@ -102,7 +102,7 @@ components: type: object description: The result of the API call. example: { "" } - properties: + properties: generated: description: Generated text with GPT-J 6B model example: "My name is Teven and I not an average vlogger. I have been vlogging about 5 years now and" @@ -116,7 +116,7 @@ components: type: string example: Success description: The status of the API call success/failure - + unauthorized: type: object properties: @@ -191,20 +191,18 @@ components: example: Failure versions: type: object - properties: + properties: v0.1.0: type: array items: oneOf: - type: string - example: Published Date - June 15, 2022 - description: Initial Version + example: Published Date - August 1, 2022 + description: Initial Version input: type: object required: - - text - properties: text: x-name: text From 2254d020a1ee94d3cc9dc07cdddc3cca7db31ed0 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 1 Aug 2022 12:49:07 +0530 Subject: [PATCH 4949/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 3af57d713..b7f7e7ac2 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -217,7 +217,7 @@ components: default: False example: 60 description: |+ - token_length is the number of tokens in the output sequence. token_length is the number of tokens in input sequence + number of tokens generated. + token_length is the number of tokens in the output sequence. token_length is the number of tokens in input sequence + number of tokens generated by the model. Default value is 50. From 8ad4974cfd5acb95b6890129350743d1222362fd Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 1 Aug 2022 13:46:23 +0530 Subject: [PATCH 4950/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index b7f7e7ac2..65ecc2c84 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -6,7 +6,7 @@ info: **Language: English** - Note: The model has token_length limit of maximum 100. + Do ensure you **token_length limit is within 100**. version: v0.1.0 x-subscribelink: text_generation_gptj6b servers: From 0285f2a1d24dacbd5e6f8f649c67b6db6aafcc64 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 1 Aug 2022 13:47:45 +0530 Subject: [PATCH 4951/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 65ecc2c84..b75ddac65 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -13,7 +13,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - June 15, 2022" + description: "Published Date - August 1, 2022" paths: /microservices/nlp/gptj/v0/getpredictions: post: From 16e84e59b748836e2ce77bfa39cc987c308349fc Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 2 Aug 2022 09:22:03 +0530 Subject: [PATCH 4952/5916] add model description --- nlp/text_generation_gptj6b.yaml | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index b75ddac65..a84c327b0 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -2,7 +2,20 @@ openapi: 3.0.1 info: title: Text Generation using GPT-J 6B description: |+ - GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. + This microservice is used for text generation using a [language model](https://en.wikipedia.org/wiki/Language_model) with GPT-J 6B model. + A language model just predicts what is the next word based on probabilities. + Given an input text like: "Hello my name is Lee Hsien Loong and I am" + + and it will recognize who it is and generate the following text: + + "Hello my name is Lee Hsien Loong and I am the Prime Minister of the Republic of Singapore.\n\nI would like to talk to you today about the importance of education and the role it plays in building a strong and prosperous nation. Education is the key to unlocking Singapore’s economic potential. It is also the best way to ensure that our people are equipped with the knowledge and skills they need to succeed in the 21st century. In fact, education is so important that it" + + You can use these models for code-generation, calculating arithemetic, language translation etc. + + **About the model** + + GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX and is considered as an `6B parameter open-source version of GPT-3`. + "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. **Language: English** From 5e7941f1c5cd5e1e3750a1e2cb26b841c52e7944 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 2 Aug 2022 09:52:07 +0530 Subject: [PATCH 4953/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 30 +++++++++++++++++++----------- 1 file changed, 19 insertions(+), 11 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index a84c327b0..e0215e3b9 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -3,24 +3,32 @@ info: title: Text Generation using GPT-J 6B description: |+ This microservice is used for text generation using a [language model](https://en.wikipedia.org/wiki/Language_model) with GPT-J 6B model. - A language model just predicts what is the next word based on probabilities. - Given an input text like: "Hello my name is Lee Hsien Loong and I am" + A language model just predicts what is the next words based on probabilities. For example given an: + **input text like**: "Hello my name is Lee Hsien Loong and I am" + **generated output**: "Hello my name is Lee Hsien Loong and I am the Prime Minister of the Republic of Singapore.\n\nI would like to talk to you today about the importance of education" - and it will recognize who it is and generate the following text: - - "Hello my name is Lee Hsien Loong and I am the Prime Minister of the Republic of Singapore.\n\nI would like to talk to you today about the importance of education and the role it plays in building a strong and prosperous nation. Education is the key to unlocking Singapore’s economic potential. It is also the best way to ensure that our people are equipped with the knowledge and skills they need to succeed in the 21st century. In fact, education is so important that it" - - You can use these models for code-generation, calculating arithemetic, language translation etc. + You can use these models for code-generation, calculating arithmetic, language translation etc. You can refer to the additional information to know how to use that. **About the model** - - GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX and is considered as an `6B parameter open-source version of GPT-3`. - "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. - **Language: English** + `GPT-J 6B` is a transformer model trained using Ben Wang's Mesh Transformer JAX and is considered as an 6B parameter open-source version of `GPT-3`. + `GPT-J` refers to the class of model, while `6B` represents the number of trainable parameters. Do ensure you **token_length limit is within 100**. version: v0.1.0 + x-additionalinfo: |+ + Suitable input text(also know as prompts) for generating Text for various use cases can be found below: + 1. Code Generation + **input text**: "program: print fibonaci series of n numbers using C++" + 2.Calculating Arithmetic + **input text**: "what is 1033 + 37" + 3. translation + **input text**: "English: Good morning french:" + + **Supported languages are:** + - English + The model is trained on the Pile dataset is a 825 GiB, diverse, open source language modelling data set developed by EleutherAI. + x-subscribelink: text_generation_gptj6b servers: - url: 'https://dev-apis.sentient.io' From 81373a1da172d936165b8854a128b447a19bbf12 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 2 Aug 2022 09:58:23 +0530 Subject: [PATCH 4954/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index e0215e3b9..8d3f469da 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -3,11 +3,11 @@ info: title: Text Generation using GPT-J 6B description: |+ This microservice is used for text generation using a [language model](https://en.wikipedia.org/wiki/Language_model) with GPT-J 6B model. - A language model just predicts what is the next words based on probabilities. For example given an: + A language model predicts what is the next words based on probabilities. For example given an: **input text like**: "Hello my name is Lee Hsien Loong and I am" **generated output**: "Hello my name is Lee Hsien Loong and I am the Prime Minister of the Republic of Singapore.\n\nI would like to talk to you today about the importance of education" - You can use these models for code-generation, calculating arithmetic, language translation etc. You can refer to the additional information to know how to use that. + You can use these models for code-generation, calculating arithmetic, language translation etc. **About the model** @@ -17,13 +17,13 @@ info: Do ensure you **token_length limit is within 100**. version: v0.1.0 x-additionalinfo: |+ - Suitable input text(also know as prompts) for generating Text for various use cases can be found below: + Suitable input text(also know as prompt) for generating Text for various use cases can be found below: 1. Code Generation - **input text**: "program: print fibonaci series of n numbers using C++" - 2.Calculating Arithmetic - **input text**: "what is 1033 + 37" - 3. translation - **input text**: "English: Good morning french:" + **prompt**: "program: print fibonaci series of n numbers using C++" + 2. Calculating Arithmetic + **prompt**: "what is 1033 + 37" + 3. Translation + **prompt**: "English: Good morning french:" **Supported languages are:** - English From b7e06ad790a41addb4e42dabb06aa3926a858613 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 2 Aug 2022 10:11:51 +0530 Subject: [PATCH 4955/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index 112f8d671..9cee74be0 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Provide Wikipedia article based on the input keyword. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Jun 20, 2022" From 4346c0db79887e335b362705b541508bd61aa23e Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Tue, 2 Aug 2022 17:17:19 +0530 Subject: [PATCH 4956/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 21 ++++++++++++++++++++- 1 file changed, 20 insertions(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index a2d6714bf..85486439c 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -211,7 +211,8 @@ components: input: type: object required: - - file_path + - file_path + - model properties: file_path: type: string @@ -220,9 +221,27 @@ components: example: sample.wav description: |+ Maximum Limit upto 15 seconds of audio wav file. + model: + x-name: model + type: string + default: True + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + The default model is female_singaporean + 1. generic + 2. sg-unified versions: type: object properties: + v0.1.1_ft_nsc: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 04, 2022 + x-details: Minor release + description: Minor with new model addition v0.1.1: type: array items: From e8b039570715b953a02135809339300398b18b84 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 2 Aug 2022 22:10:58 +1000 Subject: [PATCH 4957/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 85486439c..4917843f2 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -5,7 +5,7 @@ info: This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. This api supports upto 15 seconds audio file only. - version: '0.1.1' + version: '0.2.0' x-apitype: small file x-subscribelink: asr_en_unified x-apitypedescription: |+ @@ -23,13 +23,13 @@ info: servers: - url: 'https://dev-ms-apis.huawei.sentient.io' tags: -- name: "v0.1.1" +- name: "v0.2.0" description: "Published Date - Aug 04, 2022" paths: /microservices/voice/asrenunified/v0/get_transcript: post: tags: - - v0.1.1 + - v0.2.0 responses: '200': description: success response @@ -234,22 +234,14 @@ components: versions: type: object properties: - v0.1.1_ft_nsc: + v0.2.0: type: array items: oneOf: - type: string example: Published Date - Aug 04, 2022 x-details: Minor release - description: Minor with new model addition - v0.1.1: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 04, 2022 - x-details: Patch version release - description: Patch Release + description: Patch fixes to generic and new model addition - sg-unified v0.1.0: type: array items: From b0cb3887d41f20a15ca34a69424dc81d89fd1a54 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 2 Aug 2022 22:13:49 +1000 Subject: [PATCH 4958/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 778e6b4bd..0fca147ec 100644 --- a/index.yaml +++ b/index.yaml @@ -95,7 +95,7 @@ voice: asr_en_unified: title: ASR EN Unified versions: - 0.1.1: 'asr_en_unified.yaml' + 0.2.0: 'asr_en_unified.yaml' speaker_emotion_recognition: title: Speaker Emotion Recognition versions: From 90f389114458f4833328ebd2e5d5ccb72e2a83ea Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Tue, 2 Aug 2022 22:15:10 +1000 Subject: [PATCH 4959/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 4917843f2..519dd02ac 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -228,7 +228,7 @@ components: example: generic description: |+ Model selection. For best performance, select the model which best matches the use-case: - The default model is female_singaporean + The default model is generic 1. generic 2. sg-unified versions: From d4cb3048e6f1a144aded445951ec71f69240b709 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 3 Aug 2022 09:14:02 +0530 Subject: [PATCH 4960/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 2cdee40ab..322fa5bf5 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -205,7 +205,7 @@ paths: 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 jid: e4ff367c93664fb9acfa40d9a4c6e43f request_cost: 0.3323 - url: 'https://storage.googleapis.com/user_space_dev/' + url: 'https://storage.googleapis.com/lp_user_space_prod/' status: Success '401': description: Unauthorized @@ -274,7 +274,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v1.0.0 From f7f9083e4e331fdf3af34ef370fde87d05331c76 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 3 Aug 2022 09:52:23 +0530 Subject: [PATCH 4961/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 322fa5bf5..7eb4b51c4 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Jul 08, 2022" @@ -274,7 +274,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v1.0.0 From 40e3d2d1614727d70d2658b432b4973e9bdae54e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 3 Aug 2022 12:48:25 +0530 Subject: [PATCH 4962/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 7eb4b51c4..5e576543b 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -640,6 +640,19 @@ components: example: false description: |+ Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + model: + type: string + default: default + example: default + description: |+ + Speech-to-Text detects words in an audio clip by comparing input to one of many machine learning models. Each model has been trained by analyzing millions of examples—in this case, many, many audio recordings of people speaking. + 1. latest_long - Use this model for any kind of long form content such as media or spontaneous speech and conversations. Consider using this model in place of the video model, especially if the video model is not available in your target language. You can also use this in place of the default model. + 2. latest_short - Use this model for short utterances that are a few seconds in length. It is useful for trying to capture commands or other single shot directed speech use cases. Consider using this model instead of the command and search model. + 3. command_and_search - Best for short or single-word utterances like voice commands or voice search. + 4. phone_call - Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate). + 5. medical_dictation - Use this model to transcribe notes dictated by a medical professional. + 6. medical_conversation - Use this model to transcribe a conversation between a medical professional and a patient. + 7. default - Best for audio that does not fit the other audio models, like long-form audio or dictation. The default model will produce transcription results for any type of audio, including audio such as video clips that have a separate model specifically tailored to it. However, recognizing video clip audio using the default model will likely yield lower-quality results than using the video model. Ideally the audio is high-fidelity, recorded at a 16khz or greater sampling rate. uploadinput: type: object required: From 50b1a0d98326422bd808b1049a8e3f0d2850bb7a Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 3 Aug 2022 15:53:35 +0530 Subject: [PATCH 4963/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 8d3f469da..c7e906d05 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -236,7 +236,7 @@ components: x-name: token_length type: number default: False - example: 60 + example: 50 description: |+ token_length is the number of tokens in the output sequence. token_length is the number of tokens in input sequence + number of tokens generated by the model. @@ -248,7 +248,7 @@ components: x-name: num_beams type: number default: False - example: 2 + example: 5 description: |+ This parameter will determine how many nodes to search at each level. @@ -256,7 +256,7 @@ components: Default value is 5. - Recommended range is between 2-5. + Recommended range is between 1-5. securitySchemes: APIAuthorizer: type: apiKey From 06b70d3dfecefe27d588414c6389b9ce2faedbbf Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 3 Aug 2022 16:05:36 +0530 Subject: [PATCH 4964/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index c7e906d05..b5ece1eff 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -256,7 +256,7 @@ components: Default value is 5. - Recommended range is between 1-5. + Recommended range is between 2-5. securitySchemes: APIAuthorizer: type: apiKey From f6a67fa009d897e5663547390af42aa9505034f0 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 4 Aug 2022 09:10:15 +0530 Subject: [PATCH 4965/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index b5ece1eff..16076821a 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -254,9 +254,7 @@ components: The bigger the number is the more time it takes to complete. - Default value is 5. - - Recommended range is between 2-5. + Default value is 5 and range is between 2-5. securitySchemes: APIAuthorizer: type: apiKey From 81f5d6215e27e4680a2e415dad90cbdee990a137 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Thu, 4 Aug 2022 16:15:40 +1000 Subject: [PATCH 4966/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 16076821a..eeb5533f9 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -30,6 +30,19 @@ info: The model is trained on the Pile dataset is a 825 GiB, diverse, open source language modelling data set developed by EleutherAI. x-subscribelink: text_generation_gptj6b + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10 MB/Call + x-inputfilelimit: |+ + Process up to 10 MB per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 10 MB. + x-apidetailsdesc: |+ + You can use these models for code-generation, calculating arithmetic, language translation etc. servers: - url: 'https://dev-apis.sentient.io' tags: From 28ea42e11aba06cb26441e4ddab80cd3051c3b60 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 4 Aug 2022 15:00:11 +0530 Subject: [PATCH 4967/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index 9cee74be0..112f8d671 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Provide Wikipedia article based on the input keyword. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Jun 20, 2022" From 4256c441e628d6581b55a9e2e42376081d4b16fa Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 4 Aug 2022 15:11:12 +0530 Subject: [PATCH 4968/5916] Update youtube_video_downloader.yaml --- utility/youtube_video_downloader.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/youtube_video_downloader.yaml b/utility/youtube_video_downloader.yaml index 2707ff1c6..6907a9fc4 100644 --- a/utility/youtube_video_downloader.yaml +++ b/utility/youtube_video_downloader.yaml @@ -20,7 +20,7 @@ info: x-notes: |+ Payload size cannot exceed 10 MB. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Jul 29, 2022" From 92060a2988c22e38c27e344e8dd11352524f36bb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 4 Aug 2022 15:12:54 +0530 Subject: [PATCH 4969/5916] Update youtube_video_downloader.yaml --- utility/youtube_video_downloader.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/youtube_video_downloader.yaml b/utility/youtube_video_downloader.yaml index 6907a9fc4..7eb4e5546 100644 --- a/utility/youtube_video_downloader.yaml +++ b/utility/youtube_video_downloader.yaml @@ -23,7 +23,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Jul 29, 2022" + description: "Published Date - Aug 04, 2022" paths: /microservices/utility/downloadyoutubevideos/v0.2/getresults: post: @@ -223,7 +223,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 29, 2022 + example: Published Date - Aug 04, 2022 x-details: Initial version release description: Latest Version securitySchemes: From 2740340095e5a61eba930c0246ccd187575277a5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 5 Aug 2022 12:59:19 +0530 Subject: [PATCH 4970/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 6abd2fa00..5c96406a0 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Feb 18, 2022" From 406a3bd846330f9a5827a33b1939f6a63b407e9b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Sun, 7 Aug 2022 19:04:40 +0530 Subject: [PATCH 4971/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 127 +++++++++++++++----------------- 1 file changed, 61 insertions(+), 66 deletions(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index 8ff4845f8..95df3907d 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -112,48 +112,9 @@ tags: description: "Published Date - Aug 01, 2022" paths: /microservices/data/hdb_upgrade_programme/v0/getdata: - get: + post: tags: - v0.1.0 - parameters: - - in: query - name: querystring - schema: - type: string - description: |+ - Simple keyword search for matches in all searchable fields. Keywords separated by spaces will return results containing any of those keywords. For exact phrase match, put entire phrase in double quotes (" "). - - If this field is set to null, by default the microservice will return all retail shops (within the stated limit), which can be further refined through the filterdata field for more sophisticated queries. - - example: "clementi+west+street+1" - required: false - - in: query - name: offset - schema: - type: integer - description: The offset of the record list ie the starting index - example: "0" - required: false - - in: query - name: limit - schema: - type: integer - description: The max records to return for the request. Default - 10, Max - 10000 - example: "10" - required: false - - in: query - name: filterdata - schema: - type: string - description: |+ - Refine the search further on any of the possible through the 4 filter types : - * must - * must_not - * should - * filter - required: false - example: |+ - {"must":[{"match_phrase":{"street":"clementi+west+street+1"}}],"filter":[{"match":{"programme":"hip"}}],"should":[{"match":{"postalcode":120604}}],"must_not":[{"match":{"programme":"lup"}}]} responses: '200': description: Ok @@ -162,18 +123,22 @@ paths: schema: $ref: '#/components/schemas/success' example: + message: Successfully Processed + status: success results: - total: 3735 - max_score: 17.995623 + total: + value: 15 + relation: eq + max_score: 0.0 hits: - - _index: sentient_hdb_upgrade_prog_index - _type: dir_doc - _id: ofywPYIBJPcGcTBZClcI - _score: 18.239067 + _id: "uI3DbYIBoibkNqd3C8OS" + _index: "sentient_hdb_upgrade_prog_index" + _score: 0.0 _source: + id: "120604hip001" programme: "hip" batch_no: "001" - postal_code: "120604" + postalcode: "120604" precinct_code: "clm01" announcement_date: "2008-02-19" development_status: "completed" @@ -184,13 +149,11 @@ paths: xcoord: "20677.0996" ycoord: "31967.5996" location: - lat: 1.30537726474036 - lon: 103.7675188978672 - createddate: "2022-07-27T11:25:21.962Z" - lastupdated: "2022-07-27T11:25:21.962Z" + lat: "1.30537726474036" + lon: "103.7675188978672" + createddate: "2022-08-05T19:27:55.295Z" + lastupdated: "2022-08-05T19:27:55.295Z" source: "hdb" - message: Successfully Processed - status: Success '401': description: Unauthorized content: @@ -226,7 +189,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/inputlimitexceeded' + $ref: '#/components/schemas/inputlimitexceeded' '415': description: Unsupported Media Type content: @@ -247,6 +210,12 @@ paths: $ref: '#/components/schemas/gatewaytimeout' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -412,6 +381,15 @@ components: status: type: string example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure notfound: type: object properties: @@ -454,15 +432,6 @@ components: message: type: string example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input status: type: string example: Failure @@ -474,13 +443,39 @@ components: items: oneOf: - type: string - example: Published Date - Aug 01, 2022 + example: Published Date - Mar 24, 2020 x-details: Initial version release - description: Latest Version + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"programme":"hip"}}] + description: |+ + A list of filters to refine the search further. Default response returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists securitySchemes: APIAuthorizer: type: apiKey name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. + description: Authentication is done using the x-api-key in the request header From fd77942ad662f1c8d76cb16caba70c6220372590 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 8 Aug 2022 16:40:17 +0530 Subject: [PATCH 4972/5916] add docs for inverse norm v2.2.0 --- nlp/inverse_text_normalisation_eng.yaml | 34 +++++++++++++++---------- 1 file changed, 21 insertions(+), 13 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index f81b05a28..54c96fbf7 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -7,7 +7,7 @@ info: It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. The input text **should not exceed 5000 characters**. - version: '2.1.0' + version: '2.2.0' x-additionalinfo: |+ Suggested Use Cases: - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. @@ -28,13 +28,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.1.0" - description: "Published Date - Jul 28, 2022" +- name: "v2.2.0" + description: "Published Date - Aug 08, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: tags: - - v2.1.0 + - v2.2.0 responses: '200': description: Ok @@ -216,6 +216,14 @@ components: versions: type: object properties: + v2.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 08, 2022 + x-details: Rename input parameters as convert_date_time from datetime_normalised, convert_digits from text2digits_normalised, capitalized from capitalised. + description: Rename input parameters as convert_date_time from datetime_normalised, convert_digits from text2digits_normalised, capitalized from capitalised. v2.1.0: type: array items: @@ -265,15 +273,15 @@ components: description: |+ The input text to be corrected. - text2digits_normalised: - x-name: text2digits_normalised + convert_digits: + x-name: convert_digits type: boolean default: False example: false description: |+ Convert digits(in words) to digits(in number). Default is False. - datetime_normalised: - x-name: datetime_normalised + convert_date_time: + x-name: convert_date_time type: boolean default: False example: false @@ -285,23 +293,23 @@ components: default: False example: false description: |+ - Convert text to ordinals only if text2digits_normalised parameter is True. Default is False. + Convert text to ordinals only if convert_digits parameter is True. Default is False. upper_threshold: x-name: upper_threshold type: integer default: False example: 3000 description: |+ - Optional. Default = Infinity. Ignored if text2digits_normalised is False. Upper limit of number to be converted. E.g. If set to 3000, "three thousands" => "3000" and "three thousand and one" => "three thousand and one" + Optional. Default = Infinity. Ignored if convert_digits is False. Upper limit of number to be converted. E.g. If set to 3000, "three thousands" => "3000" and "three thousand and one" => "three thousand and one" lower_threshold: x-name: lower_threshold type: integer default: False example: 0 description: |+ - Optional. Default = Negative Infinity. Ignored if text2digits_normalised is False. Lower limit of number to be converted. E.g. If set to 10, "ten" => "ten" and "eleven" => "11" - capitalised: - x-name: capitalised + Optional. Default = Negative Infinity. Ignored if convert_digits is False. Lower limit of number to be converted. E.g. If set to 10, "ten" => "ten" and "eleven" => "11" + capitalized: + x-name: capitalized type: array default: False example: ["FY", "FYI"] From 6fc50abd789d20b6d8a48bec90f35f7c7c7bf10a Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 8 Aug 2022 16:43:37 +0530 Subject: [PATCH 4973/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 0fca147ec..2675b22d4 100644 --- a/index.yaml +++ b/index.yaml @@ -108,7 +108,7 @@ nlp: inverse_text_normalisation_eng: title: Inverse Text Normalisation ENG versions: - 2.1.0: 'inverse_text_normalisation_eng.yaml' + 2.2.0: 'inverse_text_normalisation_eng.yaml' named-entity_recognition_eng: title: Named-Entity Recognition ENG versions: From cf079948da4564b9717503020b8b58f1549acd76 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 10 Aug 2022 08:56:26 +0530 Subject: [PATCH 4974/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 352a674d8..569758f6f 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -315,7 +315,7 @@ components: x-name: ttn_flags type: array default: False - example: ["ALL"] + example: ["DEFAULT"] description: |+ Specifies the type of text normalisation to be applied. Accepts both string and list of strings. Accepted string values are either "ALL" or "DEFAULT". Accepted list of strings are "PLAIN", "PUNCT", "DATE", "LETTERS", "CARDINAL", "VERBATIM", "DECIMAL", "MEASURE", "MONEY", "ORDINAL", "TIME", "ELECTRONIC", "DIGIT", "FRACTION", "TELEPHONE", "ADDRESS". No default value From e0d6757e74c458f2233fc7b76b06b4ef0c984d77 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 10 Aug 2022 09:57:50 +0530 Subject: [PATCH 4975/5916] set map_only_flag as True --- voice/text-to-speech_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 569758f6f..159af45de 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -322,8 +322,8 @@ components: map_only_flag: x-name: map_only_flag type: boolean - default: False - example: false + default: True + example: true description: |+ Parameter to activate Singlish mapping wrapper_required: From 939e3adce23f71d7cc2fb892164cfad858bbdccb Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 11 Aug 2022 12:24:24 +0530 Subject: [PATCH 4976/5916] update docs for InverseNorm --- index.yaml | 2 +- nlp/inverse_text_normalisation_eng.yaml | 50 +++++++++++-------------- 2 files changed, 22 insertions(+), 30 deletions(-) diff --git a/index.yaml b/index.yaml index 2675b22d4..0fca147ec 100644 --- a/index.yaml +++ b/index.yaml @@ -108,7 +108,7 @@ nlp: inverse_text_normalisation_eng: title: Inverse Text Normalisation ENG versions: - 2.2.0: 'inverse_text_normalisation_eng.yaml' + 2.1.0: 'inverse_text_normalisation_eng.yaml' named-entity_recognition_eng: title: Named-Entity Recognition ENG versions: diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 54c96fbf7..5b97cc5d7 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -7,7 +7,7 @@ info: It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. The input text **should not exceed 5000 characters**. - version: '2.2.0' + version: '2.1.0' x-additionalinfo: |+ Suggested Use Cases: - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. @@ -28,13 +28,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.2.0" - description: "Published Date - Aug 08, 2022" +- name: "v2.1.0" + description: "Published Date - Aug 11, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: tags: - - v2.2.0 + - v2.1.0 responses: '200': description: Ok @@ -216,22 +216,14 @@ components: versions: type: object properties: - v2.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 08, 2022 - x-details: Rename input parameters as convert_date_time from datetime_normalised, convert_digits from text2digits_normalised, capitalized from capitalised. - description: Rename input parameters as convert_date_time from datetime_normalised, convert_digits from text2digits_normalised, capitalized from capitalised. v2.1.0: type: array items: oneOf: - type: string - example: Published Date - Jul 28, 2022 - x-details: Optional input parameter threshold replaced with 2 new optional parameters upper_threshold,lower_threshold. Also introducing a new optional parameter capitalised. - description: Optional input parameter threshold replaced with 2 new optional parameters upper_threshold,lower_threshold. Also introducing a new optional parameter capitalised. + example: Published Date - Aug 11, 2022 + x-details: Renamed optional input parameter "threshold" as "digits_upper_threshold", added optional input "digits_lower_threshold", added new optional parameter “capitalized”, standardised parameter naming. + description: Renamed optional input parameter "threshold" as "digits_upper_threshold", added optional input "digits_lower_threshold", added new optional parameter “capitalized”, standardised parameter naming. v2.0.0: type: array items: @@ -280,6 +272,20 @@ components: example: false description: |+ Convert digits(in words) to digits(in number). Default is False. + digits_upper_threshold: + x-name: digits_upper_threshold + type: integer + default: False + example: 3000 + description: |+ + Optional. Default = Infinity. Ignored if convert_digits is False. Upper limit of number to be converted. E.g. If set to 3000, "three thousands" => "3000" and "three thousand and one" => "three thousand and one" + digits_lower_threshold: + x-name: digits_lower_threshold + type: integer + default: False + example: 0 + description: |+ + Optional. Default = Negative Infinity. Ignored if convert_digits is False. Lower limit of number to be converted. E.g. If set to 10, "ten" => "ten" and "eleven" => "11" convert_date_time: x-name: convert_date_time type: boolean @@ -294,20 +300,6 @@ components: example: false description: |+ Convert text to ordinals only if convert_digits parameter is True. Default is False. - upper_threshold: - x-name: upper_threshold - type: integer - default: False - example: 3000 - description: |+ - Optional. Default = Infinity. Ignored if convert_digits is False. Upper limit of number to be converted. E.g. If set to 3000, "three thousands" => "3000" and "three thousand and one" => "three thousand and one" - lower_threshold: - x-name: lower_threshold - type: integer - default: False - example: 0 - description: |+ - Optional. Default = Negative Infinity. Ignored if convert_digits is False. Lower limit of number to be converted. E.g. If set to 10, "ten" => "ten" and "eleven" => "11" capitalized: x-name: capitalized type: array From e115bd518de2c303a7ba7fec14468c7900df7373 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 11 Aug 2022 16:42:46 +0530 Subject: [PATCH 4977/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index 112f8d671..e6d3a9675 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -26,13 +26,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - Jun 20, 2022" +- name: "v2.0.1" + description: "Published Date - Aug 04, 2022" paths: /microservices/utility/wikipedia/v2/getresults: post: tags: - - v2.0.0 + - v2.0.1 responses: '200': description: Ok @@ -312,6 +312,14 @@ components: versions: type: object properties: + v2.0.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 04, 2022 + x-details: Patch release for Wikipedia search function upgraded. + description: Latest Version v2.0.0: type: array items: From 1a0f982566f11d7e22f446b7e6611ce96a63ee33 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 11 Aug 2022 16:44:03 +0530 Subject: [PATCH 4978/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 0fca147ec..ad90c377c 100644 --- a/index.yaml +++ b/index.yaml @@ -302,7 +302,7 @@ utility: wikipedia: title: Wikipedia Retrieval versions: - 2.0.0: 'wikipedia_retrieval.yaml' + 2.0.1: 'wikipedia_retrieval.yaml' 1.0.0: 'wikipedia_v1.yaml' json-csv_convertor: title: JSON-CSV Convertor From ce410db3870e8db29663b5de68d0c669e29acf2d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Thu, 11 Aug 2022 16:46:46 +0530 Subject: [PATCH 4979/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index e6d3a9675..3dbac5c19 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -8,7 +8,7 @@ info: - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more. - Extract the most relevant content from Wikipedia’s categories to provide a text analysis service to ascertain what any text is in reference to. - version: '2.0.0' + version: '2.0.1' x-subscribelink: wikipedia_retrieval x-apitype: small file x-apitypedescription: |+ @@ -327,7 +327,7 @@ components: - type: string example: Published Date - Jun 20, 2022 x-details: Major version update - description: Latest Version + description: Old Version v1.0.0: type: array items: From 095402dfcbba339fdefd90c37256b45a30233b99 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 12 Aug 2022 13:01:44 +0530 Subject: [PATCH 4980/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index ecc59d8ef..218b4f084 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -2,9 +2,9 @@ info: title: Text Summarization description: |+ - This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. + This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. - The input text should be a minimum of 100 words and a maximum of 512 words. + The input text should be a minimum of 100 words and a maximum of 1024 words. For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. version: '1.0.0' From 10be3eca51189e1a5944e5665281f041298e9bbe Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 17 Aug 2022 13:56:20 +0530 Subject: [PATCH 4981/5916] rename API parameter rename no_repeating_N_grams as repeating_chunk_size --- nlp/text_summarization.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 218b4f084..b14e0317e 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -272,8 +272,8 @@ The bigger the number is the more time it takes to complete. Default value is 4. Recommended range is between 2-4. - no_repeating_N_grams: - x-name: no_repeating_N_grams + repeating_chunk_size: + x-name: repeating_chunk_size type: integer default: False example: 3 From 5b18f2749010cb0ac901bf099e866514a028273e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 17 Aug 2022 14:50:36 +0530 Subject: [PATCH 4982/5916] Rename asr_en_unified.yaml to asr_en_unified_v0.yaml --- voice/{asr_en_unified.yaml => asr_en_unified_v0.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{asr_en_unified.yaml => asr_en_unified_v0.yaml} (100%) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified_v0.yaml similarity index 100% rename from voice/asr_en_unified.yaml rename to voice/asr_en_unified_v0.yaml From cd740aa656ff21ae44d748ca976eb3c2ac3f180b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 17 Aug 2022 14:51:45 +0530 Subject: [PATCH 4983/5916] Create asr_en_unified.yaml --- voice/asr_en_unified.yaml | 261 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 261 insertions(+) create mode 100644 voice/asr_en_unified.yaml diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml new file mode 100644 index 000000000..cc8e1817b --- /dev/null +++ b/voice/asr_en_unified.yaml @@ -0,0 +1,261 @@ +openapi: 3.0.1 +info: + title: ASR EN Unified + description: |+ + This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. + + This api supports upto 15 seconds audio file only. + version: '0.2.0' + x-apitype: small file + x-subscribelink: asr_en_unified + x-apitypedescription: |+ + Fast | Single-Call | 15 sec/Call + x-inputfilelimit: |+ + Process up to 15 seconds of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 15 seconds. + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://dev-ms-apis.huawei.sentient.io' +tags: +- name: "v0.2.0" + description: "Published Date - Aug 04, 2022" +paths: + /microservices/voice/asrenunified/v0/get_transcript: + post: + tags: + - v0.2.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + status: Success + message: Successfully Processed + results: + transcript: 'i want to apply for a credit farslidy to service my hish d v long ' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + transcript: + x-name: transcript + type: string + example: i want to apply for a credit faclity + description: Converted Text + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - file_path + - model + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + model: + x-name: model + type: string + default: True + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + The default model is generic + 1. generic + 2. sg-unified + versions: + type: object + properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 04, 2022 + x-details: Minor release + description: Patch fixes to generic and new model addition - sg-unified + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 01, 2022 + x-details: Initial version release + description: Archived + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 88929455790acd1e36ce43c7909373e839c6e775 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 17 Aug 2022 14:52:24 +0530 Subject: [PATCH 4984/5916] Update index.yaml --- index.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index ad90c377c..a86df4a5d 100644 --- a/index.yaml +++ b/index.yaml @@ -95,7 +95,8 @@ voice: asr_en_unified: title: ASR EN Unified versions: - 0.2.0: 'asr_en_unified.yaml' + 1.0.0: 'asr_en_unified.yaml' + 0.2.0: 'asr_en_unified_v0.yaml' speaker_emotion_recognition: title: Speaker Emotion Recognition versions: From 36d6ddb1ca2c594bc3d21959d6ce6c3282e843d5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 17 Aug 2022 14:53:56 +0530 Subject: [PATCH 4985/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index cc8e1817b..db7deb325 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -5,7 +5,7 @@ info: This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. This api supports upto 15 seconds audio file only. - version: '0.2.0' + version: '1.0.0' x-apitype: small file x-subscribelink: asr_en_unified x-apitypedescription: |+ @@ -23,13 +23,13 @@ info: servers: - url: 'https://dev-ms-apis.huawei.sentient.io' tags: -- name: "v0.2.0" +- name: "v1.0.0" description: "Published Date - Aug 04, 2022" paths: /microservices/voice/asrenunified/v0/get_transcript: post: tags: - - v0.2.0 + - v1.0.0 responses: '200': description: success response @@ -235,6 +235,14 @@ components: versions: type: object properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 17, 2022 + x-details: Major release + description: Input Parameter Changed to wav_base64 String v0.2.0: type: array items: From 6adac4b7d65b89559c05bf8088d2261437253edf Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 17 Aug 2022 14:54:15 +0530 Subject: [PATCH 4986/5916] Update asr_en_unified_v0.yaml --- voice/asr_en_unified_v0.yaml | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/voice/asr_en_unified_v0.yaml b/voice/asr_en_unified_v0.yaml index 519dd02ac..e6031e608 100644 --- a/voice/asr_en_unified_v0.yaml +++ b/voice/asr_en_unified_v0.yaml @@ -234,6 +234,14 @@ components: versions: type: object properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 17, 2022 + x-details: Major release + description: Input Parameter Changed to wav_base64 String v0.2.0: type: array items: From bf615e661aea093f22545e9178db4c359cf4895d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 17 Aug 2022 14:55:16 +0530 Subject: [PATCH 4987/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index db7deb325..97339d9d9 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -26,7 +26,7 @@ tags: - name: "v1.0.0" description: "Published Date - Aug 04, 2022" paths: - /microservices/voice/asrenunified/v0/get_transcript: + /microservices/voice/asrenunified/v1/get_transcript: post: tags: - v1.0.0 From 39c30ca14fb38caedf497a21c1648ad1d966b4ae Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 17 Aug 2022 15:15:33 +0530 Subject: [PATCH 4988/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 97339d9d9..41341499b 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -100,7 +100,7 @@ paths: - APIAuthorizer: [] requestBody: content: - multipart/form-data: + application/json: schema: $ref: '#/components/schemas/input' required: true From 4b6c547b7132890b3965756cea98b9cfc85b7488 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 19 Aug 2022 09:14:30 +0530 Subject: [PATCH 4989/5916] Update text_to_speech_jp.yaml --- voice/text_to_speech_jp.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index 80b4f26b4..ba822ffc1 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Converts Japanese text to speech in a female voice. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.1" - description: "Published Date - Jul 27, 2022" + description: "Published Date - Aug 19, 2022" paths: /microservices/voice/ttsjp/v0/getpredictions: post: @@ -218,7 +218,7 @@ components: items: oneOf: - type: string - example: Published Date - Jul 27, 2022 + example: Published Date - Aug 19, 2022 x-details: Latest Version - Parameter datatype bug fix description: Bug fix v0.1.0: From fe6e26fe6d2fca2c40445ca6ba458ded774272a6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 19 Aug 2022 10:25:19 +0530 Subject: [PATCH 4990/5916] Update image_text_similarity.yaml --- computer_vision/image_text_similarity.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/image_text_similarity.yaml b/computer_vision/image_text_similarity.yaml index 5cd261279..fdd04233d 100644 --- a/computer_vision/image_text_similarity.yaml +++ b/computer_vision/image_text_similarity.yaml @@ -19,10 +19,10 @@ info: x-notes: |+ File size cannot exceed 5 MB. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Mar 25, 2022" + description: "Published Date - Aug 19, 2022" paths: /microservices/cv/clip/v0/getpredictions: post: @@ -227,7 +227,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 25, 2022 + example: Published Date - Aug 19, 2022 description: Initial version release input: type: object From 1f2e5473c7511a1653357a7a95a23c652198cc89 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 22 Aug 2022 18:10:19 +0800 Subject: [PATCH 4991/5916] changed url of object detection yaml --- computer_vision/object_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/object_detection.yaml b/computer_vision/object_detection.yaml index d316ba8e2..b1f4ab4fd 100644 --- a/computer_vision/object_detection.yaml +++ b/computer_vision/object_detection.yaml @@ -30,7 +30,7 @@ info: x-apidetailsdesc: |+ Detects objects in the input image. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.1.0" description: "Published Date - Oct 08, 2021" From c3c09a0faa9acf307bac616b96c91caf12c7eb08 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 22 Aug 2022 17:11:08 +0530 Subject: [PATCH 4992/5916] Update index.yaml --- index.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/index.yaml b/index.yaml index a86df4a5d..5d55a6b52 100644 --- a/index.yaml +++ b/index.yaml @@ -96,7 +96,6 @@ voice: title: ASR EN Unified versions: 1.0.0: 'asr_en_unified.yaml' - 0.2.0: 'asr_en_unified_v0.yaml' speaker_emotion_recognition: title: Speaker Emotion Recognition versions: From 54429178a0ac659dfd1dffaf627c6757199a34cc Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 23 Aug 2022 09:47:42 +0530 Subject: [PATCH 4993/5916] Rename API parameters TTS 1. Rename ttn_flags to text_normalization 2. Rename map_only_flag to dictionary_mapping 3. Update description of dictionary_mapping 4. Rename wrapper_required to pre-processor 5. Update description of pre-processor --- voice/text-to-speech_eng.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 159af45de..c1496a160 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -311,28 +311,28 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. - ttn_flags: - x-name: ttn_flags + text_normalization: + x-name: text_normalization type: array default: False example: ["DEFAULT"] description: |+ Specifies the type of text normalisation to be applied. Accepts both string and list of strings. Accepted string values are either "ALL" or "DEFAULT". Accepted list of strings are "PLAIN", "PUNCT", "DATE", "LETTERS", "CARDINAL", "VERBATIM", "DECIMAL", "MEASURE", "MONEY", "ORDINAL", "TIME", "ELECTRONIC", "DIGIT", "FRACTION", "TELEPHONE", "ADDRESS". No default value - map_only_flag: - x-name: map_only_flag + dictionary_mapping: + x-name: dictionary_mapping type: boolean default: True example: true description: |+ - Parameter to activate Singlish mapping - wrapper_required: - x-name: wrapper_required + Dictionary-based mapping to enhance pronunciation for Singlish, Organisation Names, Brands, and correct some mispronunciations. Default value is True. + pre-processor: + x-name: pre-processor type: boolean default: True example: true description: |+ - Parameter to decide whether preprocessing required or not. Default value is True + Enable or disable pre-processor. Note, if set to false, ALL pre-processors including Text Normalization and Dictionary Mapping will be automatically disabled. Default value is True securitySchemes: APIAuthorizer: type: apiKey From e93fd47d62ab775e7ee274614912db6396434e52 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 23 Aug 2022 11:43:01 +0530 Subject: [PATCH 4994/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 23a9df380..69274f61d 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -27,7 +27,7 @@ info: x-notes: |+ File size cannot exceed 5 MB. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io/' tags: - name: "v0.1.0" description: "Published Date - Mar 24, 2022" @@ -268,7 +268,14 @@ components: example: jpeg description: |+ The file format of the input image. Optional parameter with default value as jpeg. - + + increase_sensitivity: + x-name: file_type + type: string + default: false + example: all + description: |+ + List of enhancements to apply: 'color', 'scale', 'all' securitySchemes: APIAuthorizer: type: apiKey From 3702c0ab70412c4177dbb396028a91437b95bd7f Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 23 Aug 2022 11:45:13 +0530 Subject: [PATCH 4995/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 69274f61d..518824696 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -27,7 +27,7 @@ info: x-notes: |+ File size cannot exceed 5 MB. servers: - - url: 'https://dev-apis.sentient.io/' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 24, 2022" From d30213464e1c3b91de9944b2a056455065a33db8 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 23 Aug 2022 11:53:47 +0530 Subject: [PATCH 4996/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 518824696..0d793650e 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -271,9 +271,9 @@ components: increase_sensitivity: x-name: file_type - type: string + type: list default: false - example: all + example: ["all"] description: |+ List of enhancements to apply: 'color', 'scale', 'all' securitySchemes: From a4d967d13aca8a3e65f002beb3b2aeb8bf69d920 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 23 Aug 2022 11:54:00 +0530 Subject: [PATCH 4997/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 0d793650e..ab5246281 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -271,7 +271,7 @@ components: increase_sensitivity: x-name: file_type - type: list + type: array default: false example: ["all"] description: |+ From a24fe270f748a4273b376aa184c4099fe38d2e7e Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 23 Aug 2022 16:08:33 +0530 Subject: [PATCH 4998/5916] remove API parameters for testing --- voice/text-to-speech_eng.yaml | 44 +++++++++++++++++------------------ 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index c1496a160..b6335be47 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -311,28 +311,28 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. - text_normalization: - x-name: text_normalization - type: array - default: False - example: ["DEFAULT"] - description: |+ - Specifies the type of text normalisation to be applied. Accepts both string and list of strings. - Accepted string values are either "ALL" or "DEFAULT". Accepted list of strings are "PLAIN", "PUNCT", "DATE", "LETTERS", "CARDINAL", "VERBATIM", "DECIMAL", "MEASURE", "MONEY", "ORDINAL", "TIME", "ELECTRONIC", "DIGIT", "FRACTION", "TELEPHONE", "ADDRESS". No default value - dictionary_mapping: - x-name: dictionary_mapping - type: boolean - default: True - example: true - description: |+ - Dictionary-based mapping to enhance pronunciation for Singlish, Organisation Names, Brands, and correct some mispronunciations. Default value is True. - pre-processor: - x-name: pre-processor - type: boolean - default: True - example: true - description: |+ - Enable or disable pre-processor. Note, if set to false, ALL pre-processors including Text Normalization and Dictionary Mapping will be automatically disabled. Default value is True + # text_normalization: + # x-name: text_normalization + # type: array + # default: False + # example: ["DEFAULT"] + # description: |+ + # Specifies the type of text normalisation to be applied. Accepts both string and list of strings. + # Accepted string values are either "ALL" or "DEFAULT". Accepted list of strings are "PLAIN", "PUNCT", "DATE", "LETTERS", "CARDINAL", "VERBATIM", "DECIMAL", "MEASURE", "MONEY", "ORDINAL", "TIME", "ELECTRONIC", "DIGIT", "FRACTION", "TELEPHONE", "ADDRESS". No default value + # dictionary_mapping: + # x-name: dictionary_mapping + # type: boolean + # default: True + # example: true + # description: |+ + # Dictionary-based mapping to enhance pronunciation for Singlish, Organisation Names, Brands, and correct some mispronunciations. Default value is True. + # pre-processor: + # x-name: pre-processor + # type: boolean + # default: True + # example: true + # description: |+ + # Enable or disable pre-processor. Note, if set to false, ALL pre-processors including Text Normalization and Dictionary Mapping will be automatically disabled. Default value is True securitySchemes: APIAuthorizer: type: apiKey From 76450920b0faab81fccff586c802af4735e25edc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 23 Aug 2022 16:49:21 +0530 Subject: [PATCH 4999/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 41341499b..a125c801d 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -24,7 +24,7 @@ servers: - url: 'https://dev-ms-apis.huawei.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Aug 04, 2022" + description: "Published Date - Aug 17, 2022" paths: /microservices/voice/asrenunified/v1/get_transcript: post: From dabcbdc22fcceb97ff51486df3abde67350b1748 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 25 Aug 2022 15:16:46 +0530 Subject: [PATCH 5000/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 5e576543b..2102fe004 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -602,14 +602,22 @@ components: x-name: additional_param type: object default: true - properties: - language_code: - x-name: language_code + properties: + sampling_rate: + x-name: sampling_rate type: string default: true example: en-US description: |+ - Specify the language code of the input audio. + Specify required sampling rate. + language_code: + x-name: language_code + type: number + format: integer + default: true + example: 16000 + description: |+ + Specify sampling rate. word_level: type: boolean default: false From bdfb5c334725661d834108f2e496c2a0acd48b4e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 25 Aug 2022 15:19:50 +0530 Subject: [PATCH 5001/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 2102fe004..62c0d417a 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -605,19 +605,19 @@ components: properties: sampling_rate: x-name: sampling_rate - type: string + type: number + format: integer default: true - example: en-US + example: 16000 description: |+ Specify required sampling rate. language_code: x-name: language_code - type: number - format: integer + type: string default: true - example: 16000 + example: en-US description: |+ - Specify sampling rate. + Specify the language code of the input audio. word_level: type: boolean default: false From f4f2f805871ec9a495c8b0708d7f3f74e50c5ae4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 25 Aug 2022 18:01:36 +0530 Subject: [PATCH 5002/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 62c0d417a..4ae042b68 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -168,7 +168,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jul 08, 2022" + description: "Published Date - Aug 25, 2022" paths: /async/microservices/voice/googleasr/v1/getuploadurl: description: |+ @@ -553,6 +553,14 @@ components: versions: type: object properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 25, 2022 + x-details: sample rate added as input parameter + description: Latest Version v1.0.0: type: array items: @@ -560,7 +568,7 @@ components: - type: string example: Published Date - Jul 08, 2022 x-details: Initial version release - description: Latest Version + description: Archived v0.1.0: type: array items: From 9428dec1b3fd6bdb9b3ec9ca3c2a284744a1e647 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 26 Aug 2022 11:23:43 +0530 Subject: [PATCH 5003/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 73 ++++++++++++++++++++++++++--------- 1 file changed, 55 insertions(+), 18 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index b6335be47..cb786bd02 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -3,10 +3,16 @@ openapi: 3.0.1 info: title: Text-To-Speech ENG description: |+ - This Voice microservice converts English text to speech in a female voice. - User can adjust the pitch and tempo of the the synthesised speech. The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. - The input text **should not exceed 2200 characters**. - version: 1.2.1 + This Voice microservice converts English text to speech in a female voice. + User can adjust the pitch and tempo of the the synthesised speech. The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. Where necessary, the user can also fine-tune the pronunciation of specific words by using ARPABET notation (see Additional Details section below). + The input text **should not exceed 3000 characters**. + x-additionalinfo : |+ + - Users can now define custom phonetic pronunciations using ARPABET notation enclosed within curly brackets { }. For example, note the difference in how “tomatoes” is pronounced using the following 2 inputs: + - plain text: I like to eat tomatoes + - text with ARPABET: I like to eat {T AH0 M AE1 T OW0 Z} + + See https://en.wikipedia.org/wiki/ARPABET for full list of ARPABET notation. + version: 1.4.0 x-subscribelink: text-to-speech_eng x-apitype: small file x-apitypedescription: |+ @@ -24,13 +30,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.2.1" - description: "Published Date - Feb 18, 2022" +- name: "v1.4.0" + description: "Published Date - Aug 29, 2022" paths: /microservices/voice/ttseng/v1/getpredictions: post: tags: - - v1.2.1 + - v1.4.0 responses: '200': description: success response @@ -220,21 +226,44 @@ components: versions: type: object properties: - v1.3.1: + v1.4.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Aug 29,2022' + x-details: |+ + New Features: + - Improved pronunciation for abbreviations, units, measurements and currency + - Corrected pronunciation for words in UK English spelling + - Improved pronunciation of Singlish words with the ""female_singaporean"" model + + Bug fixes: + + - Resolved cases of stuttering when there is a special character between ARPABET notations + - Reolved cases of stuttering when there is an ARPABET notation in sentence endings + description: Latest Version + v1.3.0: type: array items: oneOf: - type: string example: 'Published Date - Feb 18,2022' - x-details: Model update - description: Latest Version - v1.2.1: + x-details: |+ + New Features: + - Added SSML support for more precise phonetic level pronunciations in the ARPABET notation + - Improved pronunciation for names and organizations" + description: Archived + v1.2.0: type: array items: oneOf: - type: string example: 'Published Date - Dec 25,2021' - x-details: Model update + x-details: |+ + Optimizations: + - Further improvements to the speech waveform resulting in improvements in synthesis quality + - Higher concurrency user support description: Archived v1.1.1: type: array @@ -242,7 +271,14 @@ components: oneOf: - type: string example: 'Published Date - Nov 09,2021' - x-details: Model improvement with improved enunciation of acronyms. + x-details: |+ + Optimizations: + - Improve synthesis quality + - More consistent volume across audio generations + - Reduce missing words + - Improved Latency + - Sentence ending pause generation + - Higher character limit description: Archived v1.0.1: type: array @@ -250,16 +286,17 @@ components: oneOf: - type: string example: 'Published Date - Oct 13,2021' - x-details: Support more input characters. Improve model release. - description: Depreciating on Nov 08, 2021 + x-details: |+ + Bug fixes - Reduce missing words occurences + description: Depreciated on Nov 08, 2021 v1.0.0: type: array items: oneOf: - type: string example: 'Published Date - Jun 7,2021' - x-details: New model release - female_singaporean - description: Depreciating on Oct 12, 2021 + x-details: Stable release. Added the "female_singaporean" model with pitch and speed control. + description: Depreciated on Oct 12, 2021 v0.1.0: type: array items: @@ -267,7 +304,7 @@ components: - type: string example: 'Published Date - Sep 28,2018' x-details: Initial version release - description: Archived + description: Depreciated - Initial release input: type: object required: From eada3d555faac23b55c5d3e84ac8b04c3f383c29 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 26 Aug 2022 11:24:18 +0530 Subject: [PATCH 5004/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 5d55a6b52..d6aad26c9 100644 --- a/index.yaml +++ b/index.yaml @@ -49,7 +49,7 @@ voice: text-to-speech_eng: title: Text-To-Speech ENG versions: - 1.2.1: 'text-to-speech_eng.yaml' + 1.4.0: 'text-to-speech_eng.yaml' text-to-speech_chi: title: Text-To-Speech CHI versions: From 16f509a3a584d4fa30d949b8a35c25074ea88730 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 26 Aug 2022 11:25:52 +0530 Subject: [PATCH 5005/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index cb786bd02..4a28bd204 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -10,8 +10,7 @@ info: - Users can now define custom phonetic pronunciations using ARPABET notation enclosed within curly brackets { }. For example, note the difference in how “tomatoes” is pronounced using the following 2 inputs: - plain text: I like to eat tomatoes - text with ARPABET: I like to eat {T AH0 M AE1 T OW0 Z} - - See https://en.wikipedia.org/wiki/ARPABET for full list of ARPABET notation. + See https://en.wikipedia.org/wiki/ARPABET for full list of ARPABET notation. version: 1.4.0 x-subscribelink: text-to-speech_eng x-apitype: small file From 833e2f4fa29117264df887e84dd859bb72299b89 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 29 Aug 2022 10:49:22 +0530 Subject: [PATCH 5006/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 4ae042b68..2e21578b5 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -613,10 +613,9 @@ components: properties: sampling_rate: x-name: sampling_rate - type: number - format: integer + type: string default: true - example: 16000 + example: default description: |+ Specify required sampling rate. language_code: From de65ebca04356429e274c9c85110969d8210d9a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 29 Aug 2022 12:06:27 +0530 Subject: [PATCH 5007/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 2e21578b5..8a225f9f0 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -617,7 +617,9 @@ components: default: true example: default description: |+ - Specify required sampling rate. + Specify required sampling rate. + "default" - Microservice will process the input file in its native sampling rate. + When the value is set to a numeric digit, then the input file will be converted to whatever is the number stated (e.g. 16000) language_code: x-name: language_code type: string From e960735281184a07a8d59a837878764832b9fad0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 29 Aug 2022 12:07:34 +0530 Subject: [PATCH 5008/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 8a225f9f0..c9da8ce5a 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -619,7 +619,7 @@ components: description: |+ Specify required sampling rate. "default" - Microservice will process the input file in its native sampling rate. - When the value is set to a numeric digit, then the input file will be converted to whatever is the number stated (e.g. 16000) + When the value is set to a numeric digit, then the input file will be converted to whatever is the number stated (e.g. "16000") language_code: x-name: language_code type: string From cb98800b3023d7438400e1cac757f51c62a2de5b Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 29 Aug 2022 14:53:44 +0530 Subject: [PATCH 5009/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index ab5246281..11a6a1207 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -275,7 +275,7 @@ components: default: false example: ["all"] description: |+ - List of enhancements to apply: 'color', 'scale', 'all' + List of enhancements to apply: 'color', 'scale', 'all', 'none' securitySchemes: APIAuthorizer: type: apiKey From ca131dc75f06e53e1e2b8ec857182bf0e287a5ad Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 29 Aug 2022 15:02:38 +0530 Subject: [PATCH 5010/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index a125c801d..bb3ae256c 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -228,10 +228,9 @@ components: default: True example: generic description: |+ - Model selection. For best performance, select the model which best matches the use-case: - The default model is generic - 1. generic - 2. sg-unified + Model selection. For best performance, select the model which best matches the use-case: + 1. generic - for non-accent specific speech (default) + 2. en-SG - for Singaporean-accented English speech versions: type: object properties: From 1c5f8554d98f58bde673aaf5ca277c220c0b87d3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 16:49:58 +0530 Subject: [PATCH 5011/5916] Update automatic_speech_recognition_chi_large_file.yaml --- ...tic_speech_recognition_chi_large_file.yaml | 42 +++++++++++++------ 1 file changed, 30 insertions(+), 12 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index dc4fd0086..484ca6eb9 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -7,7 +7,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - version: '0.1.2' + version: '0.2.0' x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. x-subscribelink: automatic_speech_recognition_chi @@ -27,15 +27,15 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.2" - description: "Published Date - Jul 08, 2022" +- name: "v0.2.0" + description: "Published Date - Sep 01, 2022" paths: /async/microservices/voice/asrsch/v0/getuploadurl: description: |+ Get the pre-signed url to upload the file. post: tags: - - v0.1.2 + - v0.2.0 responses: '200': description: Ok @@ -53,8 +53,7 @@ paths: x-goog-algorithm: GOOG4-RSA-SHA256 x-goog-credential: sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request x-goog-date: 20220224T062321Z - x-goog-meta-additional_param: '{"inverse_text_normalization": false, "punctuation_prediction": - false}' + x-goog-meta-additional_param: '{"inverse_text_normalization": false, "punctuation_prediction": false, "output_type": simplified}' x-goog-meta-oid: '309' x-goog-meta-uid: '495' x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 @@ -62,7 +61,7 @@ paths: x-goog-signature: 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 jid: 5292a71b45184424826c9089c103fb78 request_cost: 1.2675 - url: https://storage.googleapis.com/lp_user_space_prod/ + url: https://storage.googleapis.com/user_space_dev/ status: Success '401': description: Unauthorized @@ -131,7 +130,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -319,7 +318,7 @@ components: description: Google algorithm url: type: string - example: https://storage.googleapis.com/lp_user_space_prod/ + example: https://storage.googleapis.com/user_space_dev/ description: Google algorithm status: type: string @@ -409,6 +408,14 @@ components: versions: type: object properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 01, 2022 + x-details: Output Parameters Aligned + description: Latest Version v0.1.2: type: array items: @@ -416,7 +423,7 @@ components: - type: string example: Published Date - Jul 08, 2022 x-details: Output Parameters Aligned - description: Latest Version + description: Old Version v0.1.1: type: array items: @@ -482,7 +489,18 @@ components: default: false example: false description: - Specifies whether to return the information about words. Default value false. + Specifies whether to return the information about words. Default value false. + output_type: + type: string + default: false + example: simplified + description: + Specifies the output type of the transcript. There are four different values, they are: + * simplified + * traditional + * pinyin_tone_marks + * pinyin_numerals. + Default Value - simplified uploadinput: type: object required: @@ -527,7 +545,7 @@ components: x-goog-meta-additional_param: type: string default: false - example: "{\"inverse_text_normalization\": false, \"punctuation_prediction\": false}" + example: "{\"inverse_text_normalization\": false, \"punctuation_prediction\": false, \"output_type\": \"simplified\"}" description: Fields x-goog-meta-oid: type: string From e1854ca6f0a33e4e3a4bbfafafe65e485aa01db4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 16:50:37 +0530 Subject: [PATCH 5012/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 36 +++++++++++++++++---- 1 file changed, 30 insertions(+), 6 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 5c96406a0..c50cb5a0f 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -9,7 +9,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - version: '2.0.0' + version: '2.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: small file x-apitypedescription: |+ @@ -27,13 +27,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - Feb 18, 2022" +- name: "v2.1.0" + description: "Published Date - Sep 01, 2022" paths: /microservices/voice/asrsch/v2/getpredictions: post: tags: - - v0.1.0 + - v2.1.0 responses: '200': description: Ok @@ -45,6 +45,7 @@ paths: message: Successfully Processed results: output: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 + output_type: "simplified" status: Success '401': description: Unauthorized @@ -125,6 +126,10 @@ components: type: string example: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 description: The speech recognition result. + output_type: + type: string + example: "simplified" + description: Specifies the output type of the transcript. status: type: string example: Success @@ -254,10 +259,29 @@ components: default: false example: false description: - Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. + Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. + output_type: + type: string + default: false + example: simplified + description: + Specifies the output type of the transcript. There are four different values, they are: + * simplified + * traditional + * pinyin_tone_marks + * pinyin_numerals. + Default Value - simplified versions: type: object properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 01, 2022 + x-details: Upgrading with Samplerate, Encoding etc.. + description: Latest Version v2.0.0: type: array items: @@ -265,7 +289,7 @@ components: - type: string example: Published Date - Feb 18, 2022 x-details: Upgrading with Samplerate, Encoding etc.. - description: Latest Version + description: Old Version v1.0.0: type: array items: From f76c789817a124d2b29b3d1501d92bac85e2825a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 16:51:49 +0530 Subject: [PATCH 5013/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index d6aad26c9..7d4c40a0b 100644 --- a/index.yaml +++ b/index.yaml @@ -36,7 +36,7 @@ voice: automatic_speech_recognition_chi: title: Automatic Speech Recognition CHI versions: - 2.0.0: 'automatic_speech_recognition_chi.yaml' + 2.1.0: 'automatic_speech_recognition_chi.yaml' 1.0.0: 'automatic_speech_recognition_chi_1.0.yaml' online_automatic_speech_recognition_eng: title: Online Automatic Speech Recognition ENG @@ -91,7 +91,7 @@ voice: automatic_speech_recognition_chi_large_file: title: Automatic Speech Recognition CHI (Large File) versions: - 0.1.2: 'automatic_speech_recognition_chi_large_file.yaml' + 0.2.0: 'automatic_speech_recognition_chi_large_file.yaml' asr_en_unified: title: ASR EN Unified versions: From cc2845461fee3458469161794ed0002644552705 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 16:55:21 +0530 Subject: [PATCH 5014/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 484ca6eb9..0d1951abf 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -495,7 +495,7 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are: + Specifies the output type of the transcript. There are four different values, they are * simplified * traditional * pinyin_tone_marks From bd79e24e3b7566f06f0dd1e8c91676668ac94e42 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 16:55:39 +0530 Subject: [PATCH 5015/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index c50cb5a0f..5ba9886be 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -265,7 +265,7 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are: + Specifies the output type of the transcript. There are four different values, they are * simplified * traditional * pinyin_tone_marks From 82796e4a6d49a7f6a7b1a4fe3f201d73e6d1d8dc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 17:06:29 +0530 Subject: [PATCH 5016/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 5ba9886be..2f437db51 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -265,11 +265,11 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are - * simplified - * traditional - * pinyin_tone_marks - * pinyin_numerals. + Specifies the output type of the transcript. There are four different values, they are: + - simplified + - traditional + - pinyin_tone_marks + - pinyin_numerals. Default Value - simplified versions: type: object From 3212d1ccd7d719c3c911b43638d403b9172df874 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 17:07:28 +0530 Subject: [PATCH 5017/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 0d1951abf..170a02360 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -495,11 +495,11 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are - * simplified - * traditional - * pinyin_tone_marks - * pinyin_numerals. + Specifies the output type of the transcript. There are four different values, they are: + - simplified + - traditional + - pinyin_tone_marks + - pinyin_numerals. Default Value - simplified uploadinput: type: object From 79a564f3a743f252d20f9e5aac34e963577f5738 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 17:12:57 +0530 Subject: [PATCH 5018/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 170a02360..ae4412857 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -495,7 +495,7 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are: + Specifies the output type of the transcript. There are four different values, they are - simplified - traditional - pinyin_tone_marks From 8c82d7b523fec8e7e0eb9e16b1ff2149663e491d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 17:14:44 +0530 Subject: [PATCH 5019/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 2f437db51..f17b0bb68 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -265,7 +265,7 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are: + Specifies the output type of the transcript. There are four different values, they are - simplified - traditional - pinyin_tone_marks From 358c1d82d76c656b0332edeedc642af284072fe9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 17:28:02 +0530 Subject: [PATCH 5020/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 36 ++++----------------- 1 file changed, 6 insertions(+), 30 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index f17b0bb68..5c96406a0 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -9,7 +9,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - version: '2.1.0' + version: '2.0.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: small file x-apitypedescription: |+ @@ -27,13 +27,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.1.0" - description: "Published Date - Sep 01, 2022" +- name: "v2.0.0" + description: "Published Date - Feb 18, 2022" paths: /microservices/voice/asrsch/v2/getpredictions: post: tags: - - v2.1.0 + - v0.1.0 responses: '200': description: Ok @@ -45,7 +45,6 @@ paths: message: Successfully Processed results: output: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 - output_type: "simplified" status: Success '401': description: Unauthorized @@ -126,10 +125,6 @@ components: type: string example: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 description: The speech recognition result. - output_type: - type: string - example: "simplified" - description: Specifies the output type of the transcript. status: type: string example: Success @@ -259,29 +254,10 @@ components: default: false example: false description: - Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. - output_type: - type: string - default: false - example: simplified - description: - Specifies the output type of the transcript. There are four different values, they are - - simplified - - traditional - - pinyin_tone_marks - - pinyin_numerals. - Default Value - simplified + Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. versions: type: object properties: - v2.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 01, 2022 - x-details: Upgrading with Samplerate, Encoding etc.. - description: Latest Version v2.0.0: type: array items: @@ -289,7 +265,7 @@ components: - type: string example: Published Date - Feb 18, 2022 x-details: Upgrading with Samplerate, Encoding etc.. - description: Old Version + description: Latest Version v1.0.0: type: array items: From b46890113f81bcaf483f92aa6d345828f9c67c3b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 17:42:14 +0530 Subject: [PATCH 5021/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index ae4412857..f3efb7761 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -495,12 +495,7 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are - - simplified - - traditional - - pinyin_tone_marks - - pinyin_numerals. - Default Value - simplified + Specifies the output type of the transcript. There are four different values, they are - simplified, traditional, pinyin_tone_marks, pinyin_numerals. Default Value - simplified uploadinput: type: object required: From 5e3e4951fbd37b682f130ca64c7d5fe45f1c4217 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 29 Aug 2022 17:44:28 +0530 Subject: [PATCH 5022/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 31 +++++++++++++++++---- 1 file changed, 25 insertions(+), 6 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 5c96406a0..d0f7c5622 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -9,7 +9,7 @@ info: - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono. - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. - version: '2.0.0' + version: '2.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: small file x-apitypedescription: |+ @@ -27,13 +27,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - Feb 18, 2022" +- name: "v2.1.0" + description: "Published Date - Sep 01, 2022" paths: /microservices/voice/asrsch/v2/getpredictions: post: tags: - - v0.1.0 + - v2.1.0 responses: '200': description: Ok @@ -45,6 +45,7 @@ paths: message: Successfully Processed results: output: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 + output_type: "simplified" status: Success '401': description: Unauthorized @@ -125,6 +126,10 @@ components: type: string example: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 description: The speech recognition result. + output_type: + type: string + example: "simplified" + description: Specifies the output type of the transcript. status: type: string example: Success @@ -254,10 +259,24 @@ components: default: false example: false description: - Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. + Specifies whether to enable voice detection. Valid values - True and False. Default value - False. Note - If voice detection is enabled, the server detects whether the uploaded audio file includes any silent fragment. If the server detects any silent fragment, it removes the silent fragment and the subsequent content without recognizing them. The recognition result varies depending on the model. + output_type: + type: string + default: false + example: simplified + description: + Specifies the output type of the transcript. There are four different values, they are - simplified, traditional, pinyin_tone_marks, pinyin_numerals. Default Value - simplified versions: type: object properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 01, 2022 + x-details: Upgrading with Samplerate, Encoding etc.. + description: Latest Version v2.0.0: type: array items: @@ -265,7 +284,7 @@ components: - type: string example: Published Date - Feb 18, 2022 x-details: Upgrading with Samplerate, Encoding etc.. - description: Latest Version + description: Old Version v1.0.0: type: array items: From a7b5131b099e09388da4472250dd6b5fe1542f14 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 09:12:10 +0530 Subject: [PATCH 5023/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 4a28bd204..198dc0475 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -4,7 +4,9 @@ info: title: Text-To-Speech ENG description: |+ This Voice microservice converts English text to speech in a female voice. - User can adjust the pitch and tempo of the the synthesised speech. The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. Where necessary, the user can also fine-tune the pronunciation of specific words by using ARPABET notation (see Additional Details section below). + User can adjust the pitch and tempo of the the synthesised speech. + The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. Where necessary, the user can also fine-tune the pronunciation of specific words by using ARPABET notation (see Additional Details section below). + The input text **should not exceed 3000 characters**. x-additionalinfo : |+ - Users can now define custom phonetic pronunciations using ARPABET notation enclosed within curly brackets { }. For example, note the difference in how “tomatoes” is pronounced using the following 2 inputs: From 0bf68d702f46a4c2ea11f3628848f24dd2c670e1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 09:14:34 +0530 Subject: [PATCH 5024/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 22 ---------------------- 1 file changed, 22 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 198dc0475..45e48fbb1 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -349,28 +349,6 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. - # text_normalization: - # x-name: text_normalization - # type: array - # default: False - # example: ["DEFAULT"] - # description: |+ - # Specifies the type of text normalisation to be applied. Accepts both string and list of strings. - # Accepted string values are either "ALL" or "DEFAULT". Accepted list of strings are "PLAIN", "PUNCT", "DATE", "LETTERS", "CARDINAL", "VERBATIM", "DECIMAL", "MEASURE", "MONEY", "ORDINAL", "TIME", "ELECTRONIC", "DIGIT", "FRACTION", "TELEPHONE", "ADDRESS". No default value - # dictionary_mapping: - # x-name: dictionary_mapping - # type: boolean - # default: True - # example: true - # description: |+ - # Dictionary-based mapping to enhance pronunciation for Singlish, Organisation Names, Brands, and correct some mispronunciations. Default value is True. - # pre-processor: - # x-name: pre-processor - # type: boolean - # default: True - # example: true - # description: |+ - # Enable or disable pre-processor. Note, if set to false, ALL pre-processors including Text Normalization and Dictionary Mapping will be automatically disabled. Default value is True securitySchemes: APIAuthorizer: type: apiKey From c6b339a63b0b2180f324eccdc188793a46909d6c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 10:31:40 +0530 Subject: [PATCH 5025/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 45e48fbb1..f63b11041 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -10,8 +10,10 @@ info: The input text **should not exceed 3000 characters**. x-additionalinfo : |+ - Users can now define custom phonetic pronunciations using ARPABET notation enclosed within curly brackets { }. For example, note the difference in how “tomatoes” is pronounced using the following 2 inputs: + - plain text: I like to eat tomatoes - text with ARPABET: I like to eat {T AH0 M AE1 T OW0 Z} + See https://en.wikipedia.org/wiki/ARPABET for full list of ARPABET notation. version: 1.4.0 x-subscribelink: text-to-speech_eng From 4e08681b93b2430eca6e046d6693a04d3b641eac Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 10:31:53 +0530 Subject: [PATCH 5026/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index f63b11041..dd049a7c5 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -31,7 +31,7 @@ info: x-apidetailsdesc: |+ Converts English text to speech in a female voice. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.4.0" description: "Published Date - Aug 29, 2022" From 970b8a0290950452fb0ef571d71452860a506411 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 30 Aug 2022 10:37:33 +0530 Subject: [PATCH 5027/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 11a6a1207..e9f62a011 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -275,7 +275,7 @@ components: default: false example: ["all"] description: |+ - List of enhancements to apply: 'color', 'scale', 'all', 'none' + Enhancement to apply to the image. The valid list of enhancements available are: 'color', 'scale', 'all', 'none'. Note: all implies= both color + scale and it's ideal to pass just one enhancement. securitySchemes: APIAuthorizer: type: apiKey From 6131319e15261b8853db74cd3958e97e369e3853 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 30 Aug 2022 10:39:40 +0530 Subject: [PATCH 5028/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index e9f62a011..e32b7453e 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -267,15 +267,15 @@ components: default: false example: jpeg description: |+ - The file format of the input image. Optional parameter with default value as jpeg. + Optional. The file format of the input image. Optional parameter with default value as jpeg. increase_sensitivity: - x-name: file_type + x-name: increase_sensitivity type: array default: false example: ["all"] description: |+ - Enhancement to apply to the image. The valid list of enhancements available are: 'color', 'scale', 'all', 'none'. Note: all implies= both color + scale and it's ideal to pass just one enhancement. + Optional. Enhancement to apply to the image. The valid list of enhancements available are: 'color', 'scale', 'all', 'none'. Note: all implies= both color + scale and it's ideal to pass just one enhancement. securitySchemes: APIAuthorizer: type: apiKey From c207b68cb03e9b81e86ccba11d199afca32767a8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 10:42:27 +0530 Subject: [PATCH 5029/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index dd049a7c5..f23dfd19b 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -4,17 +4,19 @@ info: title: Text-To-Speech ENG description: |+ This Voice microservice converts English text to speech in a female voice. + User can adjust the pitch and tempo of the the synthesised speech. + The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. Where necessary, the user can also fine-tune the pronunciation of specific words by using ARPABET notation (see Additional Details section below). The input text **should not exceed 3000 characters**. x-additionalinfo : |+ - - Users can now define custom phonetic pronunciations using ARPABET notation enclosed within curly brackets { }. For example, note the difference in how “tomatoes” is pronounced using the following 2 inputs: + Users can now define custom phonetic pronunciations using ARPABET notation enclosed within curly brackets { }. For example, note the difference in how “tomatoes” is pronounced using the following 2 inputs: - - plain text: I like to eat tomatoes - - text with ARPABET: I like to eat {T AH0 M AE1 T OW0 Z} + plain text: I like to eat tomatoes\n + text with ARPABET: I like to eat {T AH0 M AE1 T OW0 Z} - See https://en.wikipedia.org/wiki/ARPABET for full list of ARPABET notation. + See https://en.wikipedia.org/wiki/ARPABET for full list of ARPABET notation. version: 1.4.0 x-subscribelink: text-to-speech_eng x-apitype: small file From 3ff0c56d91049fe7e1d689a2d5187e8a414f67b4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 10:46:30 +0530 Subject: [PATCH 5030/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index f23dfd19b..8c3d49593 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -36,7 +36,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.4.0" - description: "Published Date - Aug 29, 2022" + description: "Published Date - Aug 30, 2022" paths: /microservices/voice/ttseng/v1/getpredictions: post: @@ -236,7 +236,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Aug 29,2022' + example: 'Published Date - Aug 30,2022' x-details: |+ New Features: - Improved pronunciation for abbreviations, units, measurements and currency From 51e8ea325270ef8b3b6c6ec232cf734bec1c0e14 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 10:59:51 +0530 Subject: [PATCH 5031/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 8c3d49593..ddd7cb85d 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -3,18 +3,18 @@ openapi: 3.0.1 info: title: Text-To-Speech ENG description: |+ - This Voice microservice converts English text to speech in a female voice. + This Voice microservice converts English text to speech in a female voice.

- User can adjust the pitch and tempo of the the synthesised speech. + User can adjust the pitch and tempo of the the synthesised speech.

- The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. Where necessary, the user can also fine-tune the pronunciation of specific words by using ARPABET notation (see Additional Details section below). + The Text-to-Speech AI generated synthesized voice speaks with a Singaporean English accent. Where necessary, the user can also fine-tune the pronunciation of specific words by using ARPABET notation (see Additional Details section below).

The input text **should not exceed 3000 characters**. x-additionalinfo : |+ - Users can now define custom phonetic pronunciations using ARPABET notation enclosed within curly brackets { }. For example, note the difference in how “tomatoes” is pronounced using the following 2 inputs: + Users can now define custom phonetic pronunciations using ARPABET notation enclosed within curly brackets { }. For example, note the difference in how “tomatoes” is pronounced using the following 2 inputs:

plain text: I like to eat tomatoes\n - text with ARPABET: I like to eat {T AH0 M AE1 T OW0 Z} + text with ARPABET: I like to eat {T AH0 M AE1 T OW0 Z}

See https://en.wikipedia.org/wiki/ARPABET for full list of ARPABET notation. version: 1.4.0 From 4e0b36cb1701388c6b9bde65d7330cd8bedf55ff Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 11:43:51 +0530 Subject: [PATCH 5032/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index ddd7cb85d..796f81134 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -276,7 +276,7 @@ components: oneOf: - type: string example: 'Published Date - Nov 09,2021' - x-details: |+ + description: |+ Optimizations: - Improve synthesis quality - More consistent volume across audio generations @@ -284,31 +284,31 @@ components: - Improved Latency - Sentence ending pause generation - Higher character limit - description: Archived + #description: Archived v1.0.1: type: array items: oneOf: - type: string example: 'Published Date - Oct 13,2021' - x-details: |+ + description: |+ Bug fixes - Reduce missing words occurences - description: Depreciated on Nov 08, 2021 + #description: Depreciated on Nov 08, 2021 v1.0.0: type: array items: oneOf: - type: string example: 'Published Date - Jun 7,2021' - x-details: Stable release. Added the "female_singaporean" model with pitch and speed control. - description: Depreciated on Oct 12, 2021 + description: Stable release. Added the "female_singaporean" model with pitch and speed control. + #description: Depreciated on Oct 12, 2021 v0.1.0: type: array items: oneOf: - type: string example: 'Published Date - Sep 28,2018' - x-details: Initial version release + x-details: Initial version release description: Depreciated - Initial release input: type: object From a9bfe6a1dca2b09e0ea58ab0d5e694acf713ac65 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 11:45:16 +0530 Subject: [PATCH 5033/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 796f81134..7fb450505 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -237,7 +237,7 @@ components: oneOf: - type: string example: 'Published Date - Aug 30,2022' - x-details: |+ + description: |+ New Features: - Improved pronunciation for abbreviations, units, measurements and currency - Corrected pronunciation for words in UK English spelling @@ -247,29 +247,29 @@ components: - Resolved cases of stuttering when there is a special character between ARPABET notations - Reolved cases of stuttering when there is an ARPABET notation in sentence endings - description: Latest Version + #description: Latest Version v1.3.0: type: array items: oneOf: - type: string example: 'Published Date - Feb 18,2022' - x-details: |+ + description: |+ New Features: - Added SSML support for more precise phonetic level pronunciations in the ARPABET notation - Improved pronunciation for names and organizations" - description: Archived + #description: Archived v1.2.0: type: array items: oneOf: - type: string example: 'Published Date - Dec 25,2021' - x-details: |+ + description: |+ Optimizations: - Further improvements to the speech waveform resulting in improvements in synthesis quality - Higher concurrency user support - description: Archived + #description: Archived v1.1.1: type: array items: From b367971165935e056a8f138c3156b098a9732c30 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 30 Aug 2022 11:56:21 +0530 Subject: [PATCH 5034/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 5b97cc5d7..d6a36c9d6 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -26,10 +26,10 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.0" - description: "Published Date - Aug 11, 2022" + description: "Published Date - Aug 30, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: @@ -221,7 +221,7 @@ components: items: oneOf: - type: string - example: Published Date - Aug 11, 2022 + example: Published Date - Aug 30, 2022 x-details: Renamed optional input parameter "threshold" as "digits_upper_threshold", added optional input "digits_lower_threshold", added new optional parameter “capitalized”, standardised parameter naming. description: Renamed optional input parameter "threshold" as "digits_upper_threshold", added optional input "digits_lower_threshold", added new optional parameter “capitalized”, standardised parameter naming. v2.0.0: From 35586fa6e9f9827395de2ffc8918462f0d0d58b9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 30 Aug 2022 12:14:38 +0530 Subject: [PATCH 5035/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index d6a36c9d6..c1b51ecce 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Aug 30, 2022" From 0bd469a3ba2c5c0b80ee00ba2387c0ec476d0621 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 30 Aug 2022 12:37:48 +0530 Subject: [PATCH 5036/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index c1b51ecce..5c9edd22a 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -232,8 +232,7 @@ components: example: Published Date - Apr 13, 2022 x-details: New Inverse norm using BERT,introducing new parameter “output” in the response json, 3 optional input parameters text2digits_normalised,datetime_normalised and threshold. - description: New Inverse norm using BERT,introducing new parameter “output” in the response json, - 3 optional input parameters text2digits_normalised,datetime_normalised and threshold. + description: Archived v1.0.0: type: array items: From 089b7b5fc753f49f13f15df4e0948d775b090e3e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 13:11:05 +0530 Subject: [PATCH 5037/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 82b3636e1..5c20454fe 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -929,7 +929,7 @@ components: Recommendation engine name example: sentient engine properties: - type: array + type: object default: true description: |+ The value must be array of item properties From ec272d4c203393ee85f647c46c467d22069189a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 30 Aug 2022 13:11:25 +0530 Subject: [PATCH 5038/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 5c9edd22a..6d29cff4f 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Aug 30, 2022" From d4ec39c2f21906d7e0f2cdb0d3a85783f1bd84aa Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 14:16:59 +0530 Subject: [PATCH 5039/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 5c20454fe..aed778859 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -929,14 +929,16 @@ components: Recommendation engine name example: sentient engine properties: + x-name: properties type: object - default: true - description: |+ - The value must be array of item properties + default: False example: ["pagetile","description","pageurl"] + description: |+ + The value must be array of item properties items: oneOf: - type: object + retraineventinput: type: object required: From 7413b391948783bf6204ec5578f0a06a60e665f5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 14:22:55 +0530 Subject: [PATCH 5040/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index aed778859..cc218d1fb 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -935,10 +935,6 @@ components: example: ["pagetile","description","pageurl"] description: |+ The value must be array of item properties - items: - oneOf: - - type: object - retraineventinput: type: object required: From d78cb744c40604b809057ca6dfea1956e7686d53 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 30 Aug 2022 15:20:48 +0530 Subject: [PATCH 5041/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index c9da8ce5a..e7dd21819 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,10 +165,10 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Aug 25, 2022" + description: "Published Date - Aug 30, 2022" paths: /async/microservices/voice/googleasr/v1/getuploadurl: description: |+ @@ -274,7 +274,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v1.0.0 @@ -558,7 +558,7 @@ components: items: oneOf: - type: string - example: Published Date - Aug 25, 2022 + example: Published Date - Aug 30, 2022 x-details: sample rate added as input parameter description: Latest Version v1.0.0: From 47da372c7d14a86364a53a40f9fbe4dd3dc33f60 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 30 Aug 2022 15:35:51 +0530 Subject: [PATCH 5042/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index 775658b1e..67e2d496c 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -239,7 +239,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 389db8bbd4412296e0301f7b1a04251ef6ae9a93 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 30 Aug 2022 16:04:59 +0530 Subject: [PATCH 5043/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index cc218d1fb..81f0d9d51 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -929,12 +929,10 @@ components: Recommendation engine name example: sentient engine properties: - x-name: properties - type: object - default: False - example: ["pagetile","description","pageurl"] - description: |+ - The value must be array of item properties + description: "The value must be array of item properties" + default: false + type: object + example: ["pagetile","description","pageurl"] retraineventinput: type: object required: From 309556f0a5b9ce24d3b3bd76a7e70052d2bb8b8a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 30 Aug 2022 17:59:01 +0530 Subject: [PATCH 5044/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index b14e0317e..defddd439 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -23,10 +23,10 @@ x-apidetailsdesc: |+ Input text blurb and generates a summary of up to a maximum of 168 words. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Jul 8 , 2022" + description: "Published Date - Aug 30 , 2022" paths: /microservices/nlp/textsummarisation/v1/getpredictions: post: @@ -215,7 +215,7 @@ items: oneOf: - type: string - example: Published Date - Jul 8, 2022 + example: Published Date - Aug 30, 2022 x-details: Model & Code Upgrade description: Latest version v0.2.0: From d51171957083cd663409d110d23ad355deb73a40 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 09:32:03 +0530 Subject: [PATCH 5045/5916] hdb files uploaded --- data/hdb_building_outlines.yaml | 436 ++++++++++++++++++++++++++++ data/hdb_covered_linkways.yaml | 432 ++++++++++++++++++++++++++++ data/hdb_land_ownership.yaml | 422 +++++++++++++++++++++++++++ data/hdb_social_communal.yaml | 490 ++++++++++++++++++++++++++++++++ data/hdb_town_estates.yaml | 417 +++++++++++++++++++++++++++ 5 files changed, 2197 insertions(+) create mode 100644 data/hdb_building_outlines.yaml create mode 100644 data/hdb_covered_linkways.yaml create mode 100644 data/hdb_land_ownership.yaml create mode 100644 data/hdb_social_communal.yaml create mode 100644 data/hdb_town_estates.yaml diff --git a/data/hdb_building_outlines.yaml b/data/hdb_building_outlines.yaml new file mode 100644 index 000000000..f6f814f0f --- /dev/null +++ b/data/hdb_building_outlines.yaml @@ -0,0 +1,436 @@ +openapi: 3.0.1 +info: + title: HDB Building Outlines (SG) + x-subscribelink: hdb_building_outlines + description: |+ + The Data Microservice is used to maintain the HDB Buildings information. + + A successful call will return the results of the query in JSON format. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"type": "existing"}} + * **match** - Search within a full text field for a single word + > {"match":{"type": "existing"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"properties.object_id"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.3988989594249674, 103.92241145388847"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "Polygon", + "coordinates":[ [[ 103.92241145388847, 1.3988989594249674 ], [ 103.92236196081575, 1.3988943671511704 ], [ 103.92236150991398, 1.3988992887116507 ], [ 103.92233693186202, 1.3988970088464552 ] ]] + }, + "relation": "intersects" + } + } + } + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"type": "existing"}}]}} + > {"bool":{"must":[{"match":{"type": "existing"}}]}} + > {"bool":{"should":[{"match":{"type": "existing"}}]}} + + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 01, 2022" +paths: + /microservices/data/buildingoutlines/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + _index: sentient_hdb_building_outlines_index + _type: _doc + _id: hfIK6YIBOoHfvRqsu0Fe + _score: 0.0 + _source: + type: existing + geometry: + coordinates: + - 103.92241145388847 + - 1.3988989594249674 + type: Polygon + name: "HDB_ACTIVE_BLK_P" + geometry_type: Polygon + lastupdated: '2022-08-29T17:59:09.473Z' + properties: + object_id: 630440 + block: "657A" + st_cod: "PUE01K" + entity_id: 12365 + postalcode: 821657 + inc_crc: '89EAD87A356DE076' + fmel_upd_d: '20210405144104' + shape_area: 1214.6648874950001 + shape_len: 417.870745263286 + max_score: 0.0 + total: + relation: eq + value: 10000 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status. + status: + type: string + example: Success + description: The status of the API call - Success/Failure. + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id + results: + type: object + example: {} + description: Json object of the returned results. + properties: + max_score: + type: number + format: float + example: 0.0 + description: The highest score value. + total: + type: object + example: {} + description: Json object of returned total. + properties: + relation: + type: string + example: eq + description: Relation between total counts and display result count. + value: + type: integer + format: int32 + example: 10000 + description: Total number of records. + hits: + type: array + example: [{} + description: Json object of returned hits. + properties: + type: + type: string + example: "existing" + description: Captures the type of object, there are three different types - existing, under_construction. + properties: + type: object + example: {} + description: Json object of returned results. + properties: + object_id: + type: integer + example: 630440 + description: Object ID of the property. + block: + type: string + example: "657A" + description: A number given to a building or house that is officially recognised as part of the address by Property Tax Dept. + st_cod: + type: string + example: "PUE01K" + description: A unique alphanumeric code to identify a street in Singapore which forms part of the address of a building. For buildings along new streets that have yet to be officially coded, a HDB assigned dummy street code is used. A dummy street code will be deleted and replaced with the official street code when it becomes available. + entity_id: + type: integer + example: 12365 + description: Entity id of the property + postalcode: + type: integer + example: 821657 + description: A number used to group properties. It is defined by Singapore Post for the purpose of identifying the mail delivery point. It is a component of the mailing address. + inc_crc: + type: string + example: "23B5FB819245721B" + description: INC_CRC + fmel_upd_d: + type: string + example: "20220420164028" + description: fmel_upd_d + shape_area: + type: float + example: 1214.6648874950001 + description: Shape area of the property. + shape_len: + type: float + example: 417.870745263286 + description: Shape length of the property. + geometry: + type: object + description: Location coordinates and its type. + example: {"type": "Polygon", "coordinates": [[103.7637290726792, 1.388924903924374], [103.7636317063033, 1.3888697728485024]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2022-08-29T17:59:09.473Z" + geometry_type: + type: string + description: Type of Geometry Coordinates. + example: "Polygon" + name: + type: string + description: Name of the HDB. + example: "HDB_ACTIVE_BLK_P" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 01, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"type": "existing"}}] + description: |+ + There are three different types for HDB building outlines. They are: + * existing + * under_construction + + A list of filters to refine the search further. Default response returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml new file mode 100644 index 000000000..8fa29d1b0 --- /dev/null +++ b/data/hdb_covered_linkways.yaml @@ -0,0 +1,432 @@ +openapi: 3.0.1 +info: + title: HDB Covered Linkway (SG) + x-subscribelink: hdb_covered_linkway + description: |+ + This Data Microservice captures the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The “Center Line” was created manually from the “HDB COVERED LINKWAY” surface (polygon) dataset and is therefore only an estimate of the center path of the real object. + + A successful call will return the results of the query in JSON format. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"properties.quality":"FULLY VISIBLE"}} + * **match** - Search within a full text field for a single word + > {"match":{"properties.quality":"FULLY VISIBLE"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"properties.featid"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.3672863083071272,103.84016886318425"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "LineString", + "coordinates":[ [[ 103.757362163026585, 1.349439786854645 ], [ 103.757401139617556, 1.349479539383153 ], [ 103.757489093469715, 1.349395625337523 ], [ 103.757362163026585, 1.349439786854645 ] ]] + }, + "relation": "intersects" + } + } + } + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} + + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 01, 2022" +paths: + /microservices/data/coveredlinkways/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + _index: sentient_hdb_covered_linkway_index + _type: _doc + _id: UYgutIIBkH3Kd1ejdOJK + _score: 0.0 + _source: + type: Feature + geometry: + coordinates: + - 103.8385758140762 + - 1.3686844939091154 + type: LineString + name: "HDBCOVEREDLINKWAYCTRLINE2014" + geometry_type: LineString + lastupdated: '2022-08-19T11:38:35.209Z' + properties: + object_id: 6850 + featid: 4492 + lvl: GROUND LEVEL + quality: FULLY VISIBLE + extension: NO + type: COVERED LINKWAY CENTER LINE + fmel_upd_d: '20190307172821' + inc_crc: 3FE89F66831ADA9D + shape_len: 9.22220751447288 + max_score: 0.0 + total: + relation: eq + value: 2828 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status. + status: + type: string + example: Success + description: The status of the API call - Success/Failure. + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id + results: + type: object + example: {} + description: Json object of the returned results. + properties: + max_score: + type: number + format: float + example: 0.0 + description: The highest score value. + total: + type: object + example: {} + description: Json object of returned total. + properties: + relation: + type: string + example: eq + description: Relation between total counts and display result count. + value: + type: integer + format: int32 + example: 2828 + description: Total number of records. + hits: + type: array + example: [{} + description: Json object of returned hits. + properties: + type: + type: string + example: "Feature" + description: Captures the type of object. + properties: + type: object + example: {} + description: Json object of returned results. + properties: + object_id: + type: integer + example: 6850 + description: Object ID of the property. + featid: + type: integer + example: 4492 + description: Feature ID. Unique running number. + lvl: + type: string + example: "GROUND LEVEL" + description: Captures whether the object is located at Ground level or Above Ground level. + quality: + type: string + example: "FULLY VISIBLE" + description: Captures whether the section of the feature was Fully Visible, Partially Visible or Extrapolated. + extension: + type: string + example: NO + description: Captures whether an extension was added. + type: + type: string + example: "COVERED LINKWAY CENTER LINE" + description: Type of the property. + inc_crc: + type: string + example: "3FE89F66831ADA9D" + description: INC_CRC + fmel_upd_d: + type: string + example: "20190307172821" + description: fmel_upd_d + shape_len: + type: float + example: 9.22220751447288 + description: Shape length of the property. + geometry: + type: object + description: Location coordinates and its type. + example: {"type": "LineString", "coordinates": [[103.8385758140762, 1.3686844939091154], [103.83852445016247, 1.3687499428653476]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2022-08-19T11:38:35.209Z" + geometry_type: + type: string + description: Type of Geometry Coordinates. + example: "LineString" + name: + type: string + description: Name of the HDB. + example: "HDBCOVEREDLINKWAYCTRLINE2014" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 01, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"properties.quality":"FULLY VISIBLE"}}] + description: |+ + A list of filters to refine the search further. Default response returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml new file mode 100644 index 000000000..3787baf5f --- /dev/null +++ b/data/hdb_land_ownership.yaml @@ -0,0 +1,422 @@ +openapi: 3.0.1 +info: + title: HDB Land Ownership (SG) + x-subscribelink: hdb_land_ownership + description: |+ + This Data Microservice captures boundaries of HDB land. Accuracy of updates are as per accuracy of plans received from authorities (done by surveyors) demarcating boundaries of the land owned by HDB. + + A successful call will return the results of the query in JSON format. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"properties.parcel_registration_boundary":"TGA"}} + * **match** - Search within a full text field for a single word + > {"match":{"properties.parcel_registration_boundary":"TGA"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"properties.object_id"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.3566423191218442,103.73433360923423"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "Polygon", + "coordinates":[ [[ 103.83351996679646, 1.3633562057822286 ], [ 103.8335251695038, 1.3633419891744463 ], [ 103.83341318097865, 1.3633000809374571 ], [ 103.83327463078994, 1.3632454844630526 ] ]] + }, + "relation": "intersects" + } + } + } + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"properties.parcel_registration_boundary":"TGA"}}]}} + > {"bool":{"must":[{"match":{"properties.parcel_registration_boundary":"TGA"}}]}} + > {"bool":{"should":[{"match":{"properties.parcel_registration_boundary":"TGA"}}]}} + + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 01, 2022" +paths: + /microservices/data/landownership/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + _index: sentient_hdb_land_ownership_index + _type: _doc + _id: lIq3xIIBkH3Kd1ejBDYY + _score: 0.0 + _source: + type: Feature + geometry: + coordinates: + - 103.83351996679646 + - 1.3633562057822286 + type: Polygon + name: "HDBLANDOWNERSHIP" + geometry_type: Polygon + lastupdated: '2022-08-22T16:41:42.974Z' + properties: + object_id: 454758 + parcel_identification_number: 1663 + parcel_registration_boundary: BH + inc_crc: '4971D3389314D1E3' + fmel_upd_d: '20211101234922' + shape_area: 37757.514829 + shape_len: 875.1755388951301 + max_score: 0.0 + total: + relation: eq + value: 1972 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status. + status: + type: string + example: Success + description: The status of the API call - Success/Failure. + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id + results: + type: object + example: {} + description: Json object of the returned results. + properties: + max_score: + type: number + format: float + example: 0.0 + description: The highest score value. + total: + type: object + example: {} + description: Json object of returned total. + properties: + relation: + type: string + example: eq + description: Relation between total counts and display result count. + value: + type: integer + format: int32 + example: 1972 + description: Total number of records. + hits: + type: array + example: [{} + description: Json object of returned hits. + properties: + type: + type: string + example: "Feature" + description: Captures the type of object. + properties: + type: object + example: {} + description: Json object of returned results. + properties: + object_id: + type: integer + example: 454758 + description: Object ID of the property. + parcel_identification_number: + type: string + example: "1663" + description: A unique id number assigned by the system when parcel is created. + parcel_registration_boundary: + type: string + example: "BH" + description: Parcellation of Singapore island. + inc_crc: + type: string + example: "4971D3389314D1E3" + description: INC_CRC + fmel_upd_d: + type: string + example: "20211101234922" + description: fmel_upd_d + shape_area: + type: float + example: 37757.514829 + description: Shape area of the property. + shape_len: + type: float + example: 9.22220751447288 + description: Shape length of the property. + geometry: + type: object + description: Location coordinates and its type. + example: {"type": "Polygon", "coordinates": [[103.83351996679646, 1.3633562057822286], [103.8335251695038, 1.3633419891744463]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2022-08-22T16:41:42.974Z" + geometry_type: + type: string + description: Type of Geometry Coordinates. + example: "Polygon" + name: + type: string + description: Name of the HDB. + example: "HDBLANDOWNERSHIP" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 01, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"properties.parcel_registration_boundary": "TGA"}}] + description: |+ + A list of filters to refine the search further. Default response returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml new file mode 100644 index 000000000..6d2de650b --- /dev/null +++ b/data/hdb_social_communal.yaml @@ -0,0 +1,490 @@ +openapi: 3.0.1 +info: + title: HDB Social Communal (SG) + x-subscribelink: hdb_social_communal + description: |+ + The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units. + + The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards. + + The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use. + + A successful call will return the results of the query in JSON format. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"type": "existing"}} + * **match** - Search within a full text field for a single word + > {"match":{"type": "existing"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"properties.object_id"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.3403652573087654, 103.87206960611273"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "Polygon", + "coordinates":[ [[ 103.87206960611273, 1.3403652573087654 ], [ 103.8720683449881, 1.3401652987644477 ], [ 103.87235854544275, 1.3401634437995935 ], [ 103.87235980659092, 1.3403634023430893 ] ]] + }, + "relation": "intersects" + } + } + } + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"type": "existing"}}]}} + > {"bool":{"must":[{"match":{"type": "existing"}}]}} + > {"bool":{"should":[{"match":{"type": "existing"}}]}} + + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 01, 2022" +paths: + /microservices/data/socialcommunal/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + _index: sentient_hdb_social_communal_index + _type: _doc + _id: ZvIX1IIBOoHfvRqsmSUk + _score: 0.0 + _source: + type: existing + geometry: + coordinates: + - 103.8208395283471 + - 1.2760807162362717 + type: Point + name: "HDBSOCIALCOMMUNALFACI" + geometry_type: Point + lastupdated: '2022-08-25T16:21:32.346Z' + properties: + object_id: 16993 + postalcode: 90023 + block: "23" + street: "TELOK BLANGAH CRES" + level: ["01", "01"] + unit": ["94", "114"] + trade": ["RADIO EQUIPMENT ROOM", "SENIOR CITIZENS CENTRE"] + area": [33.0, 185.0] + inc_crc: '89EAD87A356DE076' + fmel_upd_d: '20210405144104' + max_score: 0.0 + total: + relation: eq + value: 2854 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status. + status: + type: string + example: Success + description: The status of the API call - Success/Failure. + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id + results: + type: object + example: {} + description: Json object of the returned results. + properties: + max_score: + type: number + format: float + example: 0.0 + description: The highest score value. + total: + type: object + example: {} + description: Json object of returned total. + properties: + relation: + type: string + example: eq + description: Relation between total counts and display result count. + value: + type: integer + format: int32 + example: 2854 + description: Total number of records. + hits: + type: array + example: [{} + description: Json object of returned hits. + properties: + type: + type: string + example: "existing" + description: Captures the type of object, there are three different types - existing, under_construction, upcoming. + properties: + type: object + example: {} + description: Json object of returned results. + properties: + object_id: + type: integer + example: 16993 + description: Object ID of the property. + postalcode: + type: integer + example: 90023 + description: Postal code of existing HDB residential blocks with social communal facilities. + block: + type: string + example: "23" + description: Block Name of the property. + street: + type: string + example: "TELOK BLANGAH CRES" + description: Street Name of the property. + level: + type: array + items: + type: string + example: ["01", "01"] + description: Details of the level for the social communal facility. + unit: + type: array + items: + type: string + example: ["94", "114"] + description: Details of the Unit for the social communal facility. + trade: + type: array + items: + type: string + example: ["RADIO EQUIPMENT ROOM", "SENIOR CITIZENS CENTRE"] + description: Details of the trade for the social communal facility. + area: + type: array + items: + type: float + example: [33.0, 185.0] + description: Details of the trading area for the social communal facility. + coord_x: + type: float + example: 33367.4749 + description: The x coordinate of HDB social communal facility under construction. This is available only for the type under construction. + coord_y: + type: float + example: 40701.4628 + description: The y coordinate of HDB social communal facility under construction. This is available only for the type under construction. + precinct_name: + type: string + example: "FOREST SPRING @ YISHUN" + description: Name of HDB BTO Project. Projects with solely rental units have no precinct name. This is available for the type under construction and upcoming buildings. + fscf_area: + type: float + example: 404.22 + description: The approximate floor area from consultants' plans. This is available only for the type upcoming buildings. + agency: + type: string + example: "MOH" + description: Name of Government Agency which reserved the FSCF space. This is available for the type upcoming buildings. + vdno: + type: string + example: "2" + description: Void Deck Number in the Block. Space may have more than one segments within the block, VDNO=1 will be the largest area, followed by 2, 3. This is available only for the type upcoming buildings. + num_level: + type: string + example: "1" + description: Void deck Floor level. This is available only for the type upcoming buildings. + inc_crc: + type: string + example: "89EAD87A356DE076" + description: INC_CRC + fmel_upd_d: + type: string + example: "20210405144104" + description: fmel_upd_d + shape_area: + type: float + example: 405.9959402 + description: Shape area of the property. This is available only for the type upcoming buildings. + shape_len: + type: float + example: 84.1926580611319 + description: Shape length of the property. This is available only for the type upcoming buildings. + geometry: + type: object + description: Location coordinates and its type. + example: {"type": "Point", "coordinates": [103.81014356421238, 1.273090405130763]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2022-08-25T16:21:32.346Z" + geometry_type: + type: string + description: Type of Geometry Coordinates. + example: "Point" + name: + type: string + description: Name of the HDB. + example: "HDBSOCIALCOMMUNALFACI" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 01, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"properties.nme_bndry": "YISHUN"}}] + description: |+ + There are three different types for HDB building outlines. They are: + * existing + * under_construction + * upcoming + + A list of filters to refine the search further. Default response returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file diff --git a/data/hdb_town_estates.yaml b/data/hdb_town_estates.yaml new file mode 100644 index 000000000..279217bc7 --- /dev/null +++ b/data/hdb_town_estates.yaml @@ -0,0 +1,417 @@ +openapi: 3.0.1 +info: + title: HDB Town and Estate (SG) + x-subscribelink: hdb_town_estate + description: |+ + The HDB towns/estates boundary is defined to facilitate planning and development of HDB towns/estates. It defines the areas that HDB will carry out the landuse planning to facilitate development of the HDB towns/estates. The boundary is used for planning purposes (eg planning of HDB’s Building Plan and planning for provision of facilities within HDB towns by relevant agencies) and for reporting of HDB statistics (eg. HDB flats under management by towns as in HDB’s annual report). The boundary is digitised mainly following the URA’s DGP/Planning boundary or road/drain as physical boundary. The boundary will be updated as and when new areas are earmarked by URA for public housing development. + + A successful call will return the results of the query in JSON format. + + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"properties.nme_bndry": "YISHUN"}} + * **match** - Search within a full text field for a single word + > {"match":{"properties.nme_bndry": "YISHUN"}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"properties.object_id"}} + * **geo_distance** - Returns the geo search based on the distance and location lat/long + > {"geo_distance": {"distance": "11km","geometry": "1.4250001817500824, 103.85405924302191"}} + * **geo_shape** - Returns the geo search based on the type and coordinates. + relation should be anyone based on requirement. + > INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. + > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. + > WITHIN - Return all documents whose geo_shape field is within the query geometry. + type should be + > polygon - defined by a list of a list of points. The first and last points in each (outer) list must be the same (the polygon must be closed) + > points - single geographic coordinate, such as the location of a building or the current position given by a smartphone’s Geolocation API. + > { + "geo_shape": { + "geometry": { + "shape": { + "type": "Polygon", + "coordinates":[ [[ 103.85405924302191, 1.4250001817500824 ], [ 103.85405925200878, 1.4250002902736583 ], [ 103.85406981206873, 1.4251805931889445 ], [ 103.85406982105562, 1.4251807017125202 ] ]] + }, + "relation": "intersects" + } + } + } + * **bool** - Returns results that must or must_not match with word + > {"bool":{"must_not":[{"match":{"properties.nme_bndry": "YISHUN"}}]}} + > {"bool":{"must":[{"match":{"properties.nme_bndry": "YISHUN"}}]}} + > {"bool":{"should":[{"match":{"properties.nme_bndry": "YISHUN"}}]}} + + + **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. + > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides returns all road works being / to be carried out. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 01, 2022" +paths: + /microservices/data/townestate/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + hits: + _index: sentient_hdb_town_estate_index + _type: _doc + _id: l4kztIIBkH3Kd1ejZDow + _score: 0.0 + _source: + type: Feature + geometry: + coordinates: + - 103.85405924302191 + - 1.4250001817500824 + type: Polygon + name: "HDB_TOWNESTATE_P" + geometry_type: Polygon + lastupdated: '2022-08-19T11:44:01.917Z' + properties: + object_id: 653 + nme_bndry: "YISHUN" + inc_crc: '0E7093AEEA28DBDE' + fmel_upd_d: '20201007153219' + shape_area: 7770149.43849932 + shape_len: 12466.1353215185 + max_score: 0.0 + total: + relation: eq + value: 2 + scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Description of the API status. + status: + type: string + example: Success + description: The status of the API call - Success/Failure. + scroll_id: + type: string + example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== + description: Pagination id + results: + type: object + example: {} + description: Json object of the returned results. + properties: + max_score: + type: number + format: float + example: 0.0 + description: The highest score value. + total: + type: object + example: {} + description: Json object of returned total. + properties: + relation: + type: string + example: eq + description: Relation between total counts and display result count. + value: + type: integer + format: int32 + example: 2 + description: Total number of records. + hits: + type: array + example: [{} + description: Json object of returned hits. + properties: + type: + type: string + example: "Feature" + description: Captures the type of object. + properties: + type: object + example: {} + description: Json object of returned results. + properties: + object_id: + type: integer + example: 653 + description: Object ID of the property. + nme_bndry: + type: string + example: "YISHUN" + description: The name of HDB towns and estates. + inc_crc: + type: string + example: "0E7093AEEA28DBDE" + description: INC_CRC + fmel_upd_d: + type: string + example: "20201007153219" + description: fmel_upd_d + shape_area: + type: float + example: 7770149.43849932 + description: Shape area of the property. + shape_len: + type: float + example: 12466.1353215185 + description: Shape length of the property. + geometry: + type: object + description: Location coordinates and its type. + example: {"type": "Polygon", "coordinates": [[103.85405924302191, 1.4250001817500824], [103.85405925200878, 1.4250002902736583]]} + lastupdated: + type: string + description: Record last updated date on sentient + example: "2022-08-19T11:44:01.917Z" + geometry_type: + type: string + description: Type of Geometry Coordinates. + example: "Polygon" + name: + type: string + description: Name of the HDB. + example: "HDB_TOWNESTATE_P" + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 01, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list ie the starting index . Default - 0 + filter: + type: array + default: false + items: + type: object + example: [{"match_phrase":{"properties.nme_bndry": "YISHUN"}}] + description: |+ + A list of filters to refine the search further. Default response returns the latest record. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * geo_distance + * geo_shape + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 5a4a7b3ccdd4279e67b9304675acaf04745e16c4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 10:01:19 +0530 Subject: [PATCH 5046/5916] Update index.yaml --- index.yaml | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/index.yaml b/index.yaml index 7d4c40a0b..86a21a416 100644 --- a/index.yaml +++ b/index.yaml @@ -359,6 +359,26 @@ data: title: HDB Upgrade Programme (SG) versions: 0.1.0: 'hdb_upgrade_programme.yaml' + hdb_covered_linkways: + title: HDB Covered Linkways (SG) + versions: + 0.1.0: 'hdb_covered_linkways.yaml' + hdb_town_estates: + title: HDB Town and Estates (SG) + versions: + 0.1.0: 'hdb_town_estates.yaml' + hdb_land_ownership: + title: HDB Land Ownership (SG) + versions: + 0.1.0: 'hdb_land_ownership.yaml' + hdb_social_communal: + title: HDB Social Communal (SG) + versions: + 0.1.0: 'hdb_social_communal.yaml' + hdb_building_outlines: + title: HDB Building Outlines (SG) + versions: + 0.1.0: 'hdb_building_outlines.yaml' building_addresses_hdb_sg: title: HDB Block Coordinates (SG) versions: From cde08ef10759f7df88e4c612df446d445448ec20 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 10:32:22 +0530 Subject: [PATCH 5047/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index 8fa29d1b0..432950cb9 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -67,7 +67,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 01, 2022" paths: - /microservices/data/coveredlinkways/v0/getdata: + /microservices/data/coveredlinkway/v0/getdata: post: tags: - v0.1.0 @@ -429,4 +429,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From c11dff1ba752fc8e6828d81be590940a8372052f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 10:33:16 +0530 Subject: [PATCH 5048/5916] Update hdb_land_ownership.yaml --- data/hdb_land_ownership.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml index 3787baf5f..2e98de1ac 100644 --- a/data/hdb_land_ownership.yaml +++ b/data/hdb_land_ownership.yaml @@ -67,7 +67,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 01, 2022" paths: - /microservices/data/landownership/v0/getdata: + /microservices/data/hdblandownership/v0/getdata: post: tags: - v0.1.0 @@ -419,4 +419,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 8e6a378c93b280156830de6856b94a703eff2175 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 10:34:03 +0530 Subject: [PATCH 5049/5916] Update hdb_building_outlines.yaml --- data/hdb_building_outlines.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_building_outlines.yaml b/data/hdb_building_outlines.yaml index f6f814f0f..fdbc0d93a 100644 --- a/data/hdb_building_outlines.yaml +++ b/data/hdb_building_outlines.yaml @@ -67,7 +67,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 01, 2022" paths: - /microservices/data/buildingoutlines/v0/getdata: + /microservices/data/hdbbuildingoutlines/v0/getdata: post: tags: - v0.1.0 @@ -433,4 +433,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 7203c24aa370d7e1eeb5c0dc8353d0297f3a2fcb Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 10:34:39 +0530 Subject: [PATCH 5050/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index 432950cb9..86387159f 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -67,7 +67,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 01, 2022" paths: - /microservices/data/coveredlinkway/v0/getdata: + /microservices/data/hdbcoveredlinkway/v0/getdata: post: tags: - v0.1.0 From 9d7fc4d45fe8bea0edd7cd90a95ae6d087cc5e9b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 11:28:22 +0530 Subject: [PATCH 5051/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index 6d2de650b..dd6677db5 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -71,7 +71,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 01, 2022" paths: - /microservices/data/socialcommunal/v0/getdata: + /microservices/data/hdbsocialcommunalfacilities/v0/getdata: post: tags: - v0.1.0 @@ -487,4 +487,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 7b03c65ceabe146cb17c1bd07395d99cc5d0a373 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 11:49:10 +0530 Subject: [PATCH 5052/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 86a21a416..65a5d1899 100644 --- a/index.yaml +++ b/index.yaml @@ -364,7 +364,7 @@ data: versions: 0.1.0: 'hdb_covered_linkways.yaml' hdb_town_estates: - title: HDB Town and Estates (SG) + title: HDB Town and Estates Boundaries (SG) versions: 0.1.0: 'hdb_town_estates.yaml' hdb_land_ownership: @@ -372,7 +372,7 @@ data: versions: 0.1.0: 'hdb_land_ownership.yaml' hdb_social_communal: - title: HDB Social Communal (SG) + title: HDB Social Communal Facilities (SG) versions: 0.1.0: 'hdb_social_communal.yaml' hdb_building_outlines: From 71bbde7fe5c90ae1e1606571cc1af7eab354e551 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 11:49:53 +0530 Subject: [PATCH 5053/5916] Update hdb_town_estates.yaml --- data/hdb_town_estates.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_town_estates.yaml b/data/hdb_town_estates.yaml index 279217bc7..93e5f8ac4 100644 --- a/data/hdb_town_estates.yaml +++ b/data/hdb_town_estates.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: HDB Town and Estate (SG) + title: HDB Town and Estate Boundaries (SG) x-subscribelink: hdb_town_estate description: |+ The HDB towns/estates boundary is defined to facilitate planning and development of HDB towns/estates. It defines the areas that HDB will carry out the landuse planning to facilitate development of the HDB towns/estates. The boundary is used for planning purposes (eg planning of HDB’s Building Plan and planning for provision of facilities within HDB towns by relevant agencies) and for reporting of HDB statistics (eg. HDB flats under management by towns as in HDB’s annual report). The boundary is digitised mainly following the URA’s DGP/Planning boundary or road/drain as physical boundary. The boundary will be updated as and when new areas are earmarked by URA for public housing development. @@ -67,7 +67,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 01, 2022" paths: - /microservices/data/townestate/v0/getdata: + /microservices/data/hdbtownestateboundaries/v0/getdata: post: tags: - v0.1.0 @@ -414,4 +414,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file + description: Authentication is done using the x-api-key in the request header From 82637449155dd4e4b2b72858bdb0d480648ee1e7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 11:56:24 +0530 Subject: [PATCH 5054/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index dd6677db5..7341cb2c0 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: HDB Social Communal (SG) + title: HDB Social Communal Facilities (SG) x-subscribelink: hdb_social_communal description: |+ The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units. From 7f3a602e2115a545481bed72535e58b9c77e3c1c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 1 Sep 2022 13:02:06 +0530 Subject: [PATCH 5055/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index 7341cb2c0..a53ed888d 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -468,7 +468,7 @@ components: default: false items: type: object - example: [{"match_phrase":{"properties.nme_bndry": "YISHUN"}}] + example: [{"match_phrase":{"type": "existing"}}] description: |+ There are three different types for HDB building outlines. They are: * existing From eecca181742cae18234487c0044751cd82f00ae2 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 1 Sep 2022 14:57:43 +0530 Subject: [PATCH 5056/5916] add change log with latest version --- computer_vision/few_shots_object_detection.yaml | 17 +++++++++++------ index.yaml | 2 +- 2 files changed, 12 insertions(+), 7 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index e32b7453e..8f92ee978 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -13,7 +13,7 @@ info: - ensure that the support images are of the same orientation as how it should appear in the query image - crop out all unnecessary elements (such as a busy background) from the support images - ensure that the support images are variations of the same object, and not images of multiple (different) objects. - version: v0.1.0 + version: v0.1.1 x-subscribelink: few_shots_object_detection x-apitype: small file x-apitypedescription: |+ @@ -29,13 +29,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" +- name: "v0.1.1" description: "Published Date - Mar 24, 2022" paths: /microservices/cv/fsod/v0/getpredictions: post: tags: - - v0.1.0 + - v0.1.1 responses: '200': description: success response @@ -230,7 +230,14 @@ components: example: Failure versions: type: object - properties: + properties: + v0.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - August 30, 2022 + description: Add new API parameter increase_sensitivity v0.1.0: type: array items: @@ -242,10 +249,8 @@ components: input: type: object required: - - image_base64 - support_images - properties: image_base64: x-name: image_base64 diff --git a/index.yaml b/index.yaml index 65a5d1899..91050c11c 100644 --- a/index.yaml +++ b/index.yaml @@ -209,7 +209,7 @@ computer vision: few_shots_object_detection: title: Few Shots Object Detection versions: - v0.1.0: few_shots_object_detection.yaml + v0.1.1: few_shots_object_detection.yaml masked_face_recognition: title: Masked Face Recognition versions: From 3a9afa2633d7b58ae4837a24b672b7e9fe1a899b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 1 Sep 2022 15:41:33 +0530 Subject: [PATCH 5057/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index eeb3371e9..7220636fb 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -100,7 +100,7 @@ paths: - APIAuthorizer: [] requestBody: content: - multipart/form-data: + application/json: schema: $ref: '#/components/schemas/input' required: true @@ -251,15 +251,17 @@ components: input: type: object required: - - file_path + - wav_base64 + - model properties: - file_path: + wav_base64: + x-name: wav_base64 type: string - format: binary + format: byte default: true - example: sample.wav - description: |+ - Maximum Limit upto 50 seconds of audio wav file. + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. versions: type: object properties: From a8b161784cec295150f04093a744a94af29fdf05 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 1 Sep 2022 15:41:35 +0530 Subject: [PATCH 5058/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index bb3ae256c..9ed7d1414 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -211,7 +211,7 @@ components: input: type: object required: - - file_path + - wav_base64 - model properties: wav_base64: From ad2bcaec2183953c3c65f410dc01450590d53bec Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 5 Sep 2022 09:08:31 +0530 Subject: [PATCH 5059/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index d7e761afa..c9b091717 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Extracts to meaningful and structured data from Invoice docs. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 11, 2021" From 12e1948e8817ee2fa38dde537f1eb1718603dd6c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 5 Sep 2022 09:08:40 +0530 Subject: [PATCH 5060/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 75be37425..41d00332a 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -20,7 +20,7 @@ info: x-apidetailsdesc: |+ Extracts to meaningful and structured data from Receipt docs. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 11, 2021" From bd1035d1fb94b4725dd94306f10526216ab3708b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 10:23:33 +0530 Subject: [PATCH 5061/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index 6a8d88556..bc0357dfc 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -3,7 +3,8 @@ info: title: Automatic Speech Recognition ENG description: |+ This Voice microservice transcribes English speech in the input audio stream into text. - This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean accented audio which is prepared speech (16kHz) and telephony. + This microservice can be used on generic English or on specific use cases or accents. + Currently, there are additional models available for Singaporean accented audio which is prepared speech (16kHz) and telephony.

The length of your audio **should not exceed 60 seconds**. version: '2.0.0' x-additionalinfo: |+ From bc0cffaadc61adc9c3b1c3b11bdc3042019783e7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 10:35:07 +0530 Subject: [PATCH 5062/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index bc0357dfc..cff6ca44f 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -4,7 +4,7 @@ info: description: |+ This Voice microservice transcribes English speech in the input audio stream into text. This microservice can be used on generic English or on specific use cases or accents. - Currently, there are additional models available for Singaporean accented audio which is prepared speech (16kHz) and telephony.

+ Currently, there are additional models available for Singaporean accented audio which is prepared speech (16kHz) and telephony.
The length of your audio **should not exceed 60 seconds**. version: '2.0.0' x-additionalinfo: |+ From 60db33f11b418d7e454fa8413b70b25be00b7a91 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 10:51:20 +0530 Subject: [PATCH 5063/5916] Update automatic_speech_recognition_eng.yaml --- voice/automatic_speech_recognition_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_eng.yaml b/voice/automatic_speech_recognition_eng.yaml index cff6ca44f..3ab9107d5 100644 --- a/voice/automatic_speech_recognition_eng.yaml +++ b/voice/automatic_speech_recognition_eng.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition ENG description: |+ - This Voice microservice transcribes English speech in the input audio stream into text. - This microservice can be used on generic English or on specific use cases or accents. + This Voice microservice transcribes English speech in the input audio stream into text.
+ This microservice can be used on generic English or on specific use cases or accents.
Currently, there are additional models available for Singaporean accented audio which is prepared speech (16kHz) and telephony.
The length of your audio **should not exceed 60 seconds**. version: '2.0.0' From d9589c27eab4340600c2858de4ef35d9426a5436 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 10:52:36 +0530 Subject: [PATCH 5064/5916] Update automatic_speech_recognition_eng_v1.2.yaml --- voice/automatic_speech_recognition_eng_v1.2.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_eng_v1.2.yaml b/voice/automatic_speech_recognition_eng_v1.2.yaml index 362af33d2..9fda9144b 100644 --- a/voice/automatic_speech_recognition_eng_v1.2.yaml +++ b/voice/automatic_speech_recognition_eng_v1.2.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition ENG description: |+ - This Voice microservice transcribes the input audio stream into text. - This microservice can be used on generic English or on specific use cases or accents. There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case - + This Voice microservice transcribes the input audio stream into text.
+ This microservice can be used on generic English or on specific use cases or accents.
+ There's currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case
The length of your audio should be **upto 60 seconds**. version: '1.2.0' x-additionalinfo: |+ From 623205d51c5db63c8c3c793bde3c0da7e803f4c6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:34:02 +0530 Subject: [PATCH 5065/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index d0f7c5622..1ed0edbf6 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -2,7 +2,8 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition CHI description: |+ - This Voice microservice transcribes Chinese speech in the input audio stream into text. The microservice requires the input audio file to be in WAV format at 16 kHz and works best when the audio file consists mostly of speech with no long pauses in between. The server returns the recognition result in a JSON format as a response. + This Voice microservice transcribes Chinese speech in the input audio stream into text.
+ The microservice requires the input audio file to be in WAV format at 16 kHz and works best when the audio file consists mostly of speech with no long pauses in between. The server returns the recognition result in a JSON format as a response.
The length of your audio **should not exceed 60 seconds**. x-additionalinfo: |+ Suggested Use Cases: From 6d2dd4b5fc3ad2c2a5c26201249f66addeed02c6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:35:31 +0530 Subject: [PATCH 5066/5916] Update automatic_speech_recognition_chi_1.0.yaml --- voice/automatic_speech_recognition_chi_1.0.yaml | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_1.0.yaml b/voice/automatic_speech_recognition_chi_1.0.yaml index eefb6fb41..be79c7f79 100644 --- a/voice/automatic_speech_recognition_chi_1.0.yaml +++ b/voice/automatic_speech_recognition_chi_1.0.yaml @@ -2,20 +2,21 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition CHI description: |+ - This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text. This microservice works best when the audio file consists of mostly speech with no long pauses in between. + This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text.
+ This microservice works best when the audio file consists of mostly speech with no long pauses in between.
The length of your audio should be **up to 20 seconds**. x-additionalinfo: |+ Suggested Use Cases: - - Extraction of text from Mandarin speech from audio files. + - Extraction of text from Mandarin speech from audio files.
- - Extraction of text from Mandarin speech from videos. + - Extraction of text from Mandarin speech from videos.
- - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. + - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers.
- - Enable voice control services - e.g. implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” + - Enable voice control services - e.g. implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?”
- - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. + - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube.
version: '1.0.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: small file From 47fc715bdb62acd8211368b34d8166fa652f4d8c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:35:40 +0530 Subject: [PATCH 5067/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 1ed0edbf6..25b36bf39 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -7,9 +7,9 @@ info: The length of your audio **should not exceed 60 seconds**. x-additionalinfo: |+ Suggested Use Cases: - - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono. - - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. - - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. + - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono.
+ - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz.
+ - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals.
version: '2.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: small file From 2982716c72801c4bc4d5d55e76b3bf4eed62e4f5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:41:55 +0530 Subject: [PATCH 5068/5916] Update automatic_speech_recognition_chi_1.0.yaml --- voice/automatic_speech_recognition_chi_1.0.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_1.0.yaml b/voice/automatic_speech_recognition_chi_1.0.yaml index be79c7f79..e1af1699e 100644 --- a/voice/automatic_speech_recognition_chi_1.0.yaml +++ b/voice/automatic_speech_recognition_chi_1.0.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition CHI description: |+ - This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text.
- This microservice works best when the audio file consists of mostly speech with no long pauses in between.
+ This Voice microservice takes in the input audio file (in WAV format at 16kHz) and transcribes Mandarin speech content within the input file into text.
+ This microservice works best when the audio file consists of mostly speech with no long pauses in between.

The length of your audio should be **up to 20 seconds**. x-additionalinfo: |+ From 2a1bc96dede820d8fc08ecd6648fb80aab36872a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:46:15 +0530 Subject: [PATCH 5069/5916] Update automatic_speech_recognition_chi_1.0.yaml --- voice/automatic_speech_recognition_chi_1.0.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_1.0.yaml b/voice/automatic_speech_recognition_chi_1.0.yaml index e1af1699e..d3f626129 100644 --- a/voice/automatic_speech_recognition_chi_1.0.yaml +++ b/voice/automatic_speech_recognition_chi_1.0.yaml @@ -8,15 +8,15 @@ info: The length of your audio should be **up to 20 seconds**. x-additionalinfo: |+ Suggested Use Cases: - - Extraction of text from Mandarin speech from audio files.
+ - Extraction of text from Mandarin speech from audio files.

- - Extraction of text from Mandarin speech from videos.
+ - Extraction of text from Mandarin speech from videos.

- - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers.
+ - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers.

- - Enable voice control services - e.g. implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?”
+ - Enable voice control services - e.g. implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?”

- - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube.
+ - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube.

version: '1.0.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: small file From e609208b3145b7472b198a37b5e31c20835ef280 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:46:32 +0530 Subject: [PATCH 5070/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 25b36bf39..0dc78e99d 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -7,9 +7,9 @@ info: The length of your audio **should not exceed 60 seconds**. x-additionalinfo: |+ Suggested Use Cases: - - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono.
- - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz.
- - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals.
+ - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), and 16-bit mono.

+ - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz.

+ - Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals.

version: '2.1.0' x-subscribelink: automatic_speech_recognition_chi x-apitype: small file From 0b3240ec6c80c3eb0eea0375b59f6d10dd97774d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:47:34 +0530 Subject: [PATCH 5071/5916] Update text_to_speech_chi.yaml --- voice/text_to_speech_chi.yaml | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/voice/text_to_speech_chi.yaml b/voice/text_to_speech_chi.yaml index d8a657be0..5e5f217c8 100644 --- a/voice/text_to_speech_chi.yaml +++ b/voice/text_to_speech_chi.yaml @@ -2,16 +2,17 @@ openapi: 3.0.1 info: title: Text-To-Speech CHI description: |+ - This Voice microservice converts Mandarin text to speech in a female voice. - User can adjust the pitch and tempo of the the synthesised speech. The Text-to-Speech AI generated synthesized voice speaks with a native Mandarin accent. + This Voice microservice converts Mandarin text to speech in a female voice.

+ User can adjust the pitch and tempo of the the synthesised speech.

+ The Text-to-Speech AI generated synthesized voice speaks with a native Mandarin accent.

The input text **should not exceed 750 characters**. x-additionalinfo: |+ Suggested Use Cases: - - Voice bots in contact centers - Deliver a better voice experience for customer service by dynamically generating speech, instead of playing static, pre-recorded audio. Engage with synthesized voices that give callers a sense of familiarity and personalization. + - Voice bots in contact centers - Deliver a better voice experience for customer service by dynamically generating speech, instead of playing static, pre-recorded audio. Engage with synthesized voices that give callers a sense of familiarity and personalization.

- - Voice generation in devices - Enable natural communications with users by empowering your devices to speak humanlike voices. Build an end-to-end voice user interface together with Speech-to-Text and improve user experience with easy and engaging interactions. + - Voice generation in devices - Enable natural communications with users by empowering your devices to speak humanlike voices. Build an end-to-end voice user interface together with Speech-to-Text and improve user experience with easy and engaging interactions.

- - Accessible EPGs (Electronic Program Guides) - Implement text-to-speech functionality in EPGs to provide a better user experience to customers and meet accessibility requirements for services and applications. + - Accessible EPGs (Electronic Program Guides) - Implement text-to-speech functionality in EPGs to provide a better user experience to customers and meet accessibility requirements for services and applications.

version: '0.1.0' x-subscribelink: text-to-speech_chi x-apitype: small file From b58522b91bebd0355b2a0da4d45820e88b3d464b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:48:11 +0530 Subject: [PATCH 5072/5916] Update text_to_speech_jp.yaml --- voice/text_to_speech_jp.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index ba822ffc1..f70edcf82 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -3,10 +3,8 @@ openapi: 3.0.1 info: title: Text-To-Speech JP description: |+ - This Voice microservice converts Japanese text into natural-sounding Japanese speech in a female voice. - - User can adjust the pitch and tempo of the the synthesised speech. - + This Voice microservice converts Japanese text into natural-sounding Japanese speech in a female voice.

+ User can adjust the pitch and tempo of the the synthesised speech.

The input text **should not exceed 800 characters**. version: v0.1.1 x-subscribelink: text-to-speech_jp From 2a1981ca4ba8acdd7548e865c5fb11c6bdb25423 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:48:35 +0530 Subject: [PATCH 5073/5916] Update text-to-speech_eng_ncs.yaml --- voice/text-to-speech_eng_ncs.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng_ncs.yaml b/voice/text-to-speech_eng_ncs.yaml index bd80b7ebe..96ae7c354 100644 --- a/voice/text-to-speech_eng_ncs.yaml +++ b/voice/text-to-speech_eng_ncs.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Text-To-Speech ENG description: |+ - This Voice microservice converts English text into natural-sounding English speech in a female voice. - User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. + This Voice microservice converts English text into natural-sounding English speech in a female voice.

+ User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model.

The input text should not exceed **2000 characters**. version: 1.0.0 x-subscribelink: text-to-speech_eng From 48fc79e23ba2c467b28b8ce46052936af653e37f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:49:01 +0530 Subject: [PATCH 5074/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 73670a6f1..6cbbb4d24 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -3,8 +3,7 @@ openapi: 3.0.1 info: title: Azure TTS description: |+ - The text-to-speech REST API supports neural text-to-speech voices, which support specific languages and dialects that are identified by locale. - + The text-to-speech REST API supports neural text-to-speech voices, which support specific languages and dialects that are identified by locale.

The input text should not exceed **60000 characters**. x-additionalinfo: |+ Other than English, it is mandatory to mention the voice name. From 71705a9c188e8195ce401c3ebd26edd40bb33881 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:49:59 +0530 Subject: [PATCH 5075/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index d5101f865..191935d65 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -2,8 +2,10 @@ openapi: 3.0.1 info: title: Automatic Speech Recongition with Voice Activity Detection ENG description: |+ - This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities. VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text. - The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause). This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case. + This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities.

+ VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text.

+ The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause).

+ This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case.

The length of your audio **should not exceed 60 seconds**. version: '1.2.2' x-additionalinfo: |+ From d23e1373b5e71a81b8e55a5ca23d831c18e40efd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:50:33 +0530 Subject: [PATCH 5076/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 6cbbb4d24..be586ceb8 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -6,7 +6,7 @@ info: The text-to-speech REST API supports neural text-to-speech voices, which support specific languages and dialects that are identified by locale.

The input text should not exceed **60000 characters**. x-additionalinfo: |+ - Other than English, it is mandatory to mention the voice name. + Other than English, it is mandatory to mention the voice name.

Supported languages are: | **Name** | **Locale** | **Gender** | **Voice name** | |:-------------------------------------------:|:------------------:|:----------------:|:-----------------------:| From b7bcf3ceef66dc75dfe3aa1af8f141fe9194eb9a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:51:26 +0530 Subject: [PATCH 5077/5916] Update asr_with_voice_activity_detection_eng_v0.1.yaml --- voice/asr_with_voice_activity_detection_eng_v0.1.yaml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml index fab14244b..6452ec310 100644 --- a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml +++ b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml @@ -2,10 +2,9 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - - This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k. - + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text.

+ The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause.

+ This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k.

The length of your audio should be **upto 60 seconds**. version: '0.1.0' x-additionalinfo: |+ From 7bc21751c9da0be9a941552b80666242b67597af Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:52:02 +0530 Subject: [PATCH 5078/5916] Update voice_activity_detection_eng.yaml --- voice/voice_activity_detection_eng.yaml | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/voice/voice_activity_detection_eng.yaml b/voice/voice_activity_detection_eng.yaml index 30010ef13..8b160617b 100644 --- a/voice/voice_activity_detection_eng.yaml +++ b/voice/voice_activity_detection_eng.yaml @@ -2,17 +2,16 @@ openapi: 3.0.1 info: title: Voice Activity Detection ENG description: |+ - This Voice microservice detects utterances in the input audio and outputs the start and end time of these utterances. - - An utterance is the smallest unit of speech. It is a continuous piece of speech beginning and ending with a clear pause. + This Voice microservice detects utterances in the input audio and outputs the start and end time of these utterances.

+ An utterance is the smallest unit of speech. It is a continuous piece of speech beginning and ending with a clear pause.

The length of your audio should be **up to 60 seconds**. version: '1.0.1' x-additionalinfo: |+ Suggested Use Cases: - - Narrate a blurb or chunk of text in English - - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers. - - Enable voice control - implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” - - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube. + - Narrate a blurb or chunk of text in English

+ - Improve customer service - empower a customer service system by adding IVR (interactive voice response) and agent conversations to call centers. Perform analytics on conversation data to gain more insights into the calls and customers.

+ - Enable voice control - implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?”

+ - Transcribe multimedia content - transcribe audio and video to include captions and improve audience reach and experience. For example, this microservice can be used for indexing or subtitling video and/or multispeaker content; similar to video captioning on YouTube.

x-subscribelink: voice_activity_detection_eng x-apitype: small file x-apitypedescription: |+ From bca77611b097daacf37d150e1856149f0cc96ca8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:52:47 +0530 Subject: [PATCH 5079/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index e7dd21819..14f6f97cb 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -2,12 +2,12 @@ openapi: 3.0.1 info: title: Google ASR (Large File) description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech . - The server returns the recognition result in a JSON format as a response. - - Supports the following audio coding formats: WAV, MP3 + This Voice microservice takes in the input audio file and supports recognizing a short speech.

+ The server returns the recognition result in a JSON format as a response. + - Supports the following audio coding formats: WAV, MP3

For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

* **Supported Languages:** | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | From 5f6c259ec1e4b11d27d71cfd9d2521751a9fefba Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:53:15 +0530 Subject: [PATCH 5080/5916] Update google_asr_large_file_v0.yaml --- voice/google_asr_large_file_v0.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/google_asr_large_file_v0.yaml b/voice/google_asr_large_file_v0.yaml index f66ff7b43..6a7d90bb9 100644 --- a/voice/google_asr_large_file_v0.yaml +++ b/voice/google_asr_large_file_v0.yaml @@ -2,12 +2,12 @@ openapi: 3.0.1 info: title: Google ASR (Large File) description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech . + This Voice microservice takes in the input audio file and supports recognizing a short speech.

The server returns the recognition result in a JSON format as a response. - - Supports the following audio coding formats: WAV, MP3 + - Supports the following audio coding formats: WAV, MP3

For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

* **Supported Languages:** | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | From 1d692a084f3cd6acd6a39a38d7bffe34a5f375ba Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:53:38 +0530 Subject: [PATCH 5081/5916] Update speaker_diarization.yaml --- voice/speaker_diarization.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/speaker_diarization.yaml b/voice/speaker_diarization.yaml index f9f03c92b..b821fd07c 100644 --- a/voice/speaker_diarization.yaml +++ b/voice/speaker_diarization.yaml @@ -3,8 +3,8 @@ openapi: 3.0.1 info: title: Speaker Diarization description: |+ - This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity. - Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". + This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity.

+ Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when".

The length of your audio **should not exceed 60 seconds**. version: v0.1.0 x-subscribelink: speaker_diarization From a01c2a2dbfca74d81ebfc85f470b78118a06a923 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:53:59 +0530 Subject: [PATCH 5082/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index 8a06e219f..12ce9b82c 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Speaker Diarization (Large File) description: |+ - This Voice microservice takes in an audio/video stream and partitions it into homogenous segments according to the speaker's identity. + This Voice microservice takes in an audio/video stream and partitions it into homogenous segments according to the speaker's identity.

Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". version: '0.1.0' From 5ca64a8d96f7c568df5943cab96e51c559aba441 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:54:35 +0530 Subject: [PATCH 5083/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index f3efb7761..c29c4b311 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -2,10 +2,10 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition CHI (Large File) description: |+ - This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response. - For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. - - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono. - - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz. + This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response.

+ For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription.

+ - Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono.

+ - Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz.

- Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. version: '0.2.0' x-additionalinfo: |+ From af4f6a34bab0b42be2a6737c8bb1b17682dc61d5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:55:04 +0530 Subject: [PATCH 5084/5916] Update asr_en_unified_v0.yaml --- voice/asr_en_unified_v0.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/asr_en_unified_v0.yaml b/voice/asr_en_unified_v0.yaml index e6031e608..62fafb616 100644 --- a/voice/asr_en_unified_v0.yaml +++ b/voice/asr_en_unified_v0.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: ASR EN Unified description: |+ - This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. - + This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.

This api supports upto 15 seconds audio file only. version: '0.2.0' x-apitype: small file From 8bc0698bc7244b08263603b4fc7b1a60d3dd7279 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 11:55:26 +0530 Subject: [PATCH 5085/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 7220636fb..56ede7d5d 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: Speaker Emotion Recognition description: |+ - This Voice microservice takes in an audio file and return the emotional feeling of voice. - + This Voice microservice takes in an audio file and return the emotional feeling of voice.

This api supports upto 50 seconds audio file only. version: '0.1.0' x-apitype: small file From bf027a59461dc63ff39ea1d301e08b2d0561ddbe Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:08:01 +0530 Subject: [PATCH 5086/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 9ed7d1414..12089a701 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: ASR EN Unified description: |+ - This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text. - + This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.

This api supports upto 15 seconds audio file only. version: '1.0.0' x-apitype: small file From 10f3449d9866bc048cb9375901e1bb3ad6d274d3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:11:57 +0530 Subject: [PATCH 5087/5916] Update asr_with_voice_activity_detection_eng.yaml --- voice/asr_with_voice_activity_detection_eng.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng.yaml b/voice/asr_with_voice_activity_detection_eng.yaml index 191935d65..5320fd6b2 100644 --- a/voice/asr_with_voice_activity_detection_eng.yaml +++ b/voice/asr_with_voice_activity_detection_eng.yaml @@ -2,10 +2,10 @@ openapi: 3.0.1 info: title: Automatic Speech Recongition with Voice Activity Detection ENG description: |+ - This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities.

- VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text.

- The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause).

- This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case.

+ This Voice microservice combines Automatic Speech Recognition Capabilities (ASR) with Voice Activity Detection (VAD) capabilities.
+ VAD, also known as speech detection, detects speech in an audio file while ASR transcribes English speech content from the audio stream into text.
+ The transcript text is timestamped for each utterance (i.e. a continuous piece of speech beginning and ending with a clear pause).
+ This microservice can be used on generic English or on specific use cases or accents. Currently, there are additional models available for Singaporean-accented audio - prepared speech (16kHz) and telephony (8kHz). For best performance, select the model which best matches the use case.
The length of your audio **should not exceed 60 seconds**. version: '1.2.2' x-additionalinfo: |+ From e570c18e9158dd23c9da160d3dd5fa0fdc8652c5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:12:18 +0530 Subject: [PATCH 5088/5916] Update asr_with_voice_activity_detection_eng_v0.1.yaml --- voice/asr_with_voice_activity_detection_eng_v0.1.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml index 6452ec310..21481f9c7 100644 --- a/voice/asr_with_voice_activity_detection_eng_v0.1.yaml +++ b/voice/asr_with_voice_activity_detection_eng_v0.1.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: ASR with Voice Activity Detection ENG description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text.

- The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause.

- This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k.

+ This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capability. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text.
+ The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause.
+ This Voice microservice performs well on Singapore-accented English speech. For best performance, select the model which best matches the use-case: news_parliament, nsc_parliament, nscfull_8k.
The length of your audio should be **upto 60 seconds**. version: '0.1.0' x-additionalinfo: |+ From 0b1daffea78d2ccf7f12a9a1d4ac75c062148a10 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:14:15 +0530 Subject: [PATCH 5089/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 12089a701..51afed113 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: ASR EN Unified description: |+ - This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.

+ This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.
This api supports upto 15 seconds audio file only. version: '1.0.0' x-apitype: small file From f0efb0b5bb13295c144a9041237a904d122354dd Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:15:30 +0530 Subject: [PATCH 5090/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index c29c4b311..e27aa0e6e 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition CHI (Large File) description: |+ - This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response.

- For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription.

+ This Voice microservice takes in the input audio file and supports recognizing a speech.The server returns the recognition result in a JSON format as a response.
+ For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription.
- Supports the following audio coding formats: pulse-code modulation (PCM) (uncompressed PCM or WAV files), Opus, and 16-bit mono.

- Supports the following audio sampling rates: 8,000 Hz and 16,000 Hz.

- Allows you to specify whether to add punctuation marks during post-processing, and whether to convert Chinese numerals to Arabic numerals. From 58b3b8c9560032cdf17c3ff080241f2359736f69 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:17:10 +0530 Subject: [PATCH 5091/5916] Update automatic_speech_recognition_eng_large_file.yaml --- .../automatic_speech_recognition_eng_large_file.yaml | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 555e8ac5b..5b656dbb4 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -2,14 +2,16 @@ openapi: 3.0.1 info: title: Automatic Speech Recognition ENG (Large File) description: |+ - This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. The input can be bypassed to asr without passing through vad by setting the optional paramater "vad" to false. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. - This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities.
+ The input can be bypassed to asr without passing through vad by setting the optional paramater "vad" to false.
+ It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text.
+ The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause.
+ This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case
For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. version: '0.1.0' x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: - - - Detailed reference to the additional parameters https://docs.sentient.io/#/voice/automatic_speech_recognition_eng + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need:

+ - Detailed reference to the additional parameters https://docs.sentient.io/#/voice/automatic_speech_recognition_eng
- The file upload form https://sentient.io/upload/form.html x-tutorial-pdf-doc: https://storage.googleapis.com/lpdocs/docs/asr_prod.pdf From 9b2675233efb5bf64cee9dd1fdc81941402c71c8 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:22:12 +0530 Subject: [PATCH 5092/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index be586ceb8..958fda864 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -3,7 +3,7 @@ openapi: 3.0.1 info: title: Azure TTS description: |+ - The text-to-speech REST API supports neural text-to-speech voices, which support specific languages and dialects that are identified by locale.

+ The text-to-speech REST API supports neural text-to-speech voices, which support specific languages and dialects that are identified by locale.
The input text should not exceed **60000 characters**. x-additionalinfo: |+ Other than English, it is mandatory to mention the voice name.

From 97d883e1a69893599bc332e6acd665c671903a37 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:23:07 +0530 Subject: [PATCH 5093/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 14f6f97cb..f57502026 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: Google ASR (Large File) description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech.

+ This Voice microservice takes in the input audio file and supports recognizing a short speech.
The server returns the recognition result in a JSON format as a response. - - Supports the following audio coding formats: WAV, MP3

+ - Supports the following audio coding formats: WAV, MP3
For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

From 9d27f6493150760c97958d15ff9322f53af634cb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:23:18 +0530 Subject: [PATCH 5094/5916] Update google_asr_large_file_v0.yaml --- voice/google_asr_large_file_v0.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file_v0.yaml b/voice/google_asr_large_file_v0.yaml index 6a7d90bb9..c4b3878b8 100644 --- a/voice/google_asr_large_file_v0.yaml +++ b/voice/google_asr_large_file_v0.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: Google ASR (Large File) description: |+ - This Voice microservice takes in the input audio file and supports recognizing a short speech.

+ This Voice microservice takes in the input audio file and supports recognizing a short speech.
The server returns the recognition result in a JSON format as a response. - - Supports the following audio coding formats: WAV, MP3

+ - Supports the following audio coding formats: WAV, MP3
For longer audio, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective transcription. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

From 1cd02b290c3617c826052440c13831b2b9c51ec2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:23:57 +0530 Subject: [PATCH 5095/5916] Update speaker_diarization.yaml --- voice/speaker_diarization.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/speaker_diarization.yaml b/voice/speaker_diarization.yaml index b821fd07c..fd64fa600 100644 --- a/voice/speaker_diarization.yaml +++ b/voice/speaker_diarization.yaml @@ -3,8 +3,8 @@ openapi: 3.0.1 info: title: Speaker Diarization description: |+ - This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity.

- Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when".

+ This Voice microservice takes in an audio stream and partitions it into homogenous segments according to the speaker's identity.
+ Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when".
The length of your audio **should not exceed 60 seconds**. version: v0.1.0 x-subscribelink: speaker_diarization From 4e35cc0ee09901d50ca5e19afc1fb0ef3b3b86f1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:24:36 +0530 Subject: [PATCH 5096/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index 12ce9b82c..bb413d18c 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Speaker Diarization (Large File) description: |+ - This Voice microservice takes in an audio/video stream and partitions it into homogenous segments according to the speaker's identity.

+ This Voice microservice takes in an audio/video stream and partitions it into homogenous segments according to the speaker's identity.
Speaker diarization is a process to label audio recordings with classes that correspond to speaker identity, in other words, a task to identify "who spoke when". version: '0.1.0' From 16c8f2a953221ca009a98455775575a6658c349b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:25:02 +0530 Subject: [PATCH 5097/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 56ede7d5d..c1283b081 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Speaker Emotion Recognition description: |+ - This Voice microservice takes in an audio file and return the emotional feeling of voice.

+ This Voice microservice takes in an audio file and return the emotional feeling of voice.
This api supports upto 50 seconds audio file only. version: '0.1.0' x-apitype: small file From e03e9671d1db960289f56bee74e11a3c21a0636a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:25:37 +0530 Subject: [PATCH 5098/5916] Update text_to_speech_chi.yaml --- voice/text_to_speech_chi.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/text_to_speech_chi.yaml b/voice/text_to_speech_chi.yaml index 5e5f217c8..05bd6c3ad 100644 --- a/voice/text_to_speech_chi.yaml +++ b/voice/text_to_speech_chi.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: Text-To-Speech CHI description: |+ - This Voice microservice converts Mandarin text to speech in a female voice.

- User can adjust the pitch and tempo of the the synthesised speech.

- The Text-to-Speech AI generated synthesized voice speaks with a native Mandarin accent.

+ This Voice microservice converts Mandarin text to speech in a female voice.
+ User can adjust the pitch and tempo of the the synthesised speech.
+ The Text-to-Speech AI generated synthesized voice speaks with a native Mandarin accent.
The input text **should not exceed 750 characters**. x-additionalinfo: |+ Suggested Use Cases: From 3f71dd6daa5d8c23296cf5a97863dac4a65e2c44 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:31:43 +0530 Subject: [PATCH 5099/5916] Update text-to-speech_eng_ncs.yaml --- voice/text-to-speech_eng_ncs.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng_ncs.yaml b/voice/text-to-speech_eng_ncs.yaml index 96ae7c354..c69abb9a1 100644 --- a/voice/text-to-speech_eng_ncs.yaml +++ b/voice/text-to-speech_eng_ncs.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Text-To-Speech ENG description: |+ - This Voice microservice converts English text into natural-sounding English speech in a female voice.

- User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model.

+ This Voice microservice converts English text into natural-sounding English speech in a female voice.
+ User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model.
The input text should not exceed **2000 characters**. version: 1.0.0 x-subscribelink: text-to-speech_eng From 2f7ae1b8b678b07fbd6c875fecfd061e8da8f192 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:32:23 +0530 Subject: [PATCH 5100/5916] Update text_to_speech_jp.yaml --- voice/text_to_speech_jp.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text_to_speech_jp.yaml b/voice/text_to_speech_jp.yaml index f70edcf82..0b748b07d 100644 --- a/voice/text_to_speech_jp.yaml +++ b/voice/text_to_speech_jp.yaml @@ -3,8 +3,8 @@ openapi: 3.0.1 info: title: Text-To-Speech JP description: |+ - This Voice microservice converts Japanese text into natural-sounding Japanese speech in a female voice.

- User can adjust the pitch and tempo of the the synthesised speech.

+ This Voice microservice converts Japanese text into natural-sounding Japanese speech in a female voice.
+ User can adjust the pitch and tempo of the the synthesised speech.
The input text **should not exceed 800 characters**. version: v0.1.1 x-subscribelink: text-to-speech_jp From 0c9f0f8e2a2770cacc534baf0c94e80121b7a243 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:33:18 +0530 Subject: [PATCH 5101/5916] Update text-to-speech_eng_ncs.yaml --- voice/text-to-speech_eng_ncs.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng_ncs.yaml b/voice/text-to-speech_eng_ncs.yaml index c69abb9a1..908dc2d50 100644 --- a/voice/text-to-speech_eng_ncs.yaml +++ b/voice/text-to-speech_eng_ncs.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Text-To-Speech ENG description: |+ - This Voice microservice converts English text into natural-sounding English speech in a female voice.
- User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model.
+ This Voice microservice converts English text into natural-sounding English speech in a female voice. + User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. The input text should not exceed **2000 characters**. version: 1.0.0 x-subscribelink: text-to-speech_eng From 6ad1e5dc2d0d8d48eba0b1e3fb1aa66cf6a56ca2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:34:08 +0530 Subject: [PATCH 5102/5916] Update voice_activity_detection_eng.yaml --- voice/voice_activity_detection_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/voice_activity_detection_eng.yaml b/voice/voice_activity_detection_eng.yaml index 8b160617b..e66a3fe39 100644 --- a/voice/voice_activity_detection_eng.yaml +++ b/voice/voice_activity_detection_eng.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Voice Activity Detection ENG description: |+ - This Voice microservice detects utterances in the input audio and outputs the start and end time of these utterances.

- An utterance is the smallest unit of speech. It is a continuous piece of speech beginning and ending with a clear pause.

+ This Voice microservice detects utterances in the input audio and outputs the start and end time of these utterances.
+ An utterance is the smallest unit of speech. It is a continuous piece of speech beginning and ending with a clear pause.
The length of your audio should be **up to 60 seconds**. version: '1.0.1' x-additionalinfo: |+ From 73ac40628e52180d018ade4a123e829593db2f0c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:37:12 +0530 Subject: [PATCH 5103/5916] Update text-to-speech_eng_ncs.yaml --- voice/text-to-speech_eng_ncs.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/voice/text-to-speech_eng_ncs.yaml b/voice/text-to-speech_eng_ncs.yaml index 908dc2d50..848261559 100644 --- a/voice/text-to-speech_eng_ncs.yaml +++ b/voice/text-to-speech_eng_ncs.yaml @@ -1,9 +1,9 @@ openapi: 3.0.1 info: - title: Text-To-Speech ENG + title: Text-To-Speech ENG NCS description: |+ - This Voice microservice converts English text into natural-sounding English speech in a female voice. - User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model. + This Voice microservice converts English text into natural-sounding English speech in a female voice.
+ User can adjust the pitch and tempo of the the synthesised speech. Both are optional and used only for the female_singaporean model.
The input text should not exceed **2000 characters**. version: 1.0.0 x-subscribelink: text-to-speech_eng @@ -19,6 +19,7 @@ info: Limit cannot exceed 3000 characters. x-apidetailsdesc: |+ Converts English text to speech in a female voice. +servers: - url: 'http://tts.sentient.io:5000' tags: - name: "v1.0.0" From 67846a7f53093a62482abe0b7744864deda08437 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:44:48 +0530 Subject: [PATCH 5104/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 6d29cff4f..0a997a470 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -2,10 +2,8 @@ openapi: 3.0.1 info: title: Inverse Text Normalisation ENG description: |+ - This NLP microservice recovers the missing punctuations such as full stop, comma, exclamation mark, and question mark from the input text. - - It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case. - + This NLP microservice recovers the missing punctuations such as full stop, comma, exclamation mark, and question mark from the input text.
+ It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case.
The input text **should not exceed 5000 characters**. version: '2.1.0' x-additionalinfo: |+ From 7fffeb15d5b0f9b27b3cb8aa76d234a491612c40 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:45:39 +0530 Subject: [PATCH 5105/5916] Update named-entity_recognition_eng.yaml --- nlp/named-entity_recognition_eng.yaml | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index c1e51f0b2..27ae135a9 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -2,19 +2,17 @@ openapi: 3.0.1 info: title: Named-Entity Recognition ENG description: |+ - This NLP microservice locates and classifies the named-entity classes from input unstructured English text and also returns the entity start and end positions. - - The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice locates and classifies the named-entity classes from input unstructured English text and also returns the entity start and end positions.
+ The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
The input text **should not exceed 5000 characters**. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: - - Extracting structured pre-defined information from text. - - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. + - Extracting structured pre-defined information from text.

+ - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

+ - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media.

x-subscribelink: named-entity_recognition_eng x-apitype: small file x-apitypedescription: |+ From 9c93c72fb42edd8ead79f33afdc766b2c8b8775b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:46:20 +0530 Subject: [PATCH 5106/5916] Update named-entity_recognition_eng_v1.0.yaml --- nlp/named-entity_recognition_eng_v1.0.yaml | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/nlp/named-entity_recognition_eng_v1.0.yaml b/nlp/named-entity_recognition_eng_v1.0.yaml index eec0e99ba..2cfa8c094 100644 --- a/nlp/named-entity_recognition_eng_v1.0.yaml +++ b/nlp/named-entity_recognition_eng_v1.0.yaml @@ -2,18 +2,16 @@ openapi: 3.0.1 info: title: Named-Entity Recognition ENG description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice locates and classifies the named-entities classes from input unstructured English text.
+ The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
Do ensure that your text is within **5000 characters**. version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: - - Extracting structured pre-defined information from text. - - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + - Extracting structured pre-defined information from text.

+ - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

- Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. x-subscribelink: named-entity_recognition_eng x-apitype: small file From befb1571f50a6e939778d554177d90a5af164e05 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:47:24 +0530 Subject: [PATCH 5107/5916] Update sentence_paraphrase.yaml --- nlp/sentence_paraphrase.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/nlp/sentence_paraphrase.yaml b/nlp/sentence_paraphrase.yaml index 5d58a1875..86a8a22af 100644 --- a/nlp/sentence_paraphrase.yaml +++ b/nlp/sentence_paraphrase.yaml @@ -3,9 +3,10 @@ openapi: 3.0.1 info: title: Sentence Paraphrase description: |+ - This NLP microservice takes in English sentences in informal / colloquial tone and rewrites it in a formal tone. It helps to smooth out sentences that contains irregularities (profanities, grammatical errors, awkward sentence structures) that can be typically found in informal dialogues or conversations. - - The input text sentence should have less than 60 sub-words. Any excess words in the sentence beyond that limit will be ignored. As a word may often consist of 2 or more sub-words (e.g. “thumbnail” consists of the sub-words “thumb” and “nail”), generally, we suggest keeping the input sentence to around 30 to 50 words to be safe. + This NLP microservice takes in English sentences in informal / colloquial tone and rewrites it in a formal tone.
+ It helps to smooth out sentences that contains irregularities (profanities, grammatical errors, awkward sentence structures) that can be typically found in informal dialogues or conversations.
+ The input text sentence should have less than 60 sub-words. Any excess words in the sentence beyond that limit will be ignored.
+ As a word may often consist of 2 or more sub-words (e.g. “thumbnail” consists of the sub-words “thumb” and “nail”), generally, we suggest keeping the input sentence to around 30 to 50 words to be safe. version: v0.1.0 x-subscribelink: sentence_paraphrase x-apitype: small file From 9fde3858e7cef6f13b144a4fb74eb44e57535016 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:49:41 +0530 Subject: [PATCH 5108/5916] Update sentence_ranking.yaml --- nlp/sentence_ranking.yaml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index 84dc523e5..7b66a5eaf 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -2,10 +2,9 @@ openapi: 3.0.1 info: title: Sentence Ranking description: |+ - This NLP microservice takes in a text blurb and ranks the sentences based on their importance score. The sentence’s score is computed by the frequency of every each word in the sentence being mentioned in other sentences (using term frequency–inverse document frequency and TextRank algorithms). - - This Sentence Ranking microservice is useful for extractive summaries, which involves picking up the most important phrases and sentences from the original text input and reusing those to make up the summary. In this case, the microservice will only consider sentences with a score above the mean score (of all other sentences scores) as being significant and return those sentences only. Do note that the sentences are also returned on the order of appearance within the original text. - + This NLP microservice takes in a text blurb and ranks the sentences based on their importance score.
+ The sentence’s score is computed by the frequency of every each word in the sentence being mentioned in other sentences (using term frequency–inverse document frequency and TextRank algorithms).
+ This Sentence Ranking microservice is useful for extractive summaries, which involves picking up the most important phrases and sentences from the original text input and reusing those to make up the summary. In this case, the microservice will only consider sentences with a score above the mean score (of all other sentences scores) as being significant and return those sentences only. Do note that the sentences are also returned on the order of appearance within the original text.
The input text **should not exceed 5000 characters**. version: v0.1.0 x-additionalinfo: |+ From 04a6235a7658e952ba05e33ad797782ea5b2dd03 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:50:24 +0530 Subject: [PATCH 5109/5916] Update page_profiler_eng.yaml --- nlp/page_profiler_eng.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index 2b3eb9721..c03c48c55 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -2,14 +2,14 @@ info: title: Page Profiler ENG description: |+ - - This NLP microservice retrieves web content in English from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output. - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice retrieves web content in English from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output.
+ The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. x-subscribelink: page_profiler_eng x-additionalinfo: |+ Suggested Use Cases: - - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

- Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. version: '2.1.1' x-apitype: small file From 4ce41b514969d152eb9acf0db8301af700bfa720 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:51:57 +0530 Subject: [PATCH 5110/5916] Update page_profiler_jp.yaml --- nlp/page_profiler_jp.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/page_profiler_jp.yaml b/nlp/page_profiler_jp.yaml index b0c2f01d9..d6e62f2ef 100644 --- a/nlp/page_profiler_jp.yaml +++ b/nlp/page_profiler_jp.yaml @@ -2,13 +2,13 @@ info: title: Page Profiler JP description: |+ - This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output. - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output.
+ The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. x-additionalinfo: |+ Suggested Use Cases: - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - + - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

- Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. version: '1.1.0' x-subscribelink: page_profiler_jp From 2cf61dbdb0172d7686027da41fde7b65a325e238 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:52:32 +0530 Subject: [PATCH 5111/5916] Update page_profiler_thai.yaml --- nlp/page_profiler_thai.yaml | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/nlp/page_profiler_thai.yaml b/nlp/page_profiler_thai.yaml index 524a6e7d2..e4670ba5f 100644 --- a/nlp/page_profiler_thai.yaml +++ b/nlp/page_profiler_thai.yaml @@ -2,15 +2,12 @@ info: title: Page Profiler THAI description: |+ - This NLP microservice retrieves web content in Thai from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - + This NLP microservice retrieves web content in Thai from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output.
+ The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. x-additionalinfo: |+ Suggested Use Cases: - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - + - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

- Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. version: '1.1.0' x-subscribelink: page_profiler_thai From 55a7af6aeb50755b075acd4db9147f869141b01d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:53:10 +0530 Subject: [PATCH 5112/5916] Update taxonomy_matcher_eng.yaml --- nlp/taxonomy_matcher_eng.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/nlp/taxonomy_matcher_eng.yaml b/nlp/taxonomy_matcher_eng.yaml index 144e719cc..05fc338b8 100644 --- a/nlp/taxonomy_matcher_eng.yaml +++ b/nlp/taxonomy_matcher_eng.yaml @@ -3,16 +3,14 @@ openapi: 3.0.1 info: title: Taxonomy Matcher ENG description: |+ - This NLP microservice matches the input word with the name of a leaf node in the predefined English taxonomy. The entire branch from the matched leaf node to the root of the corresponding taxonomy tree is returned. - - The full taxonomy consists of major categories (for e.g. retail, cars, etc.). Each category is stored as a separate taxonomy tree within the Taxonomy instance. Each node in a taxonomy tree is identified using a node_id. It has attributes: name (a human readable string), level (how far it is from the root node) and type (whether it is a root node, leaf node or body node). - + This NLP microservice matches the input word with the name of a leaf node in the predefined English taxonomy. The entire branch from the matched leaf node to the root of the corresponding taxonomy tree is returned.
+ The full taxonomy consists of major categories (for e.g. retail, cars, etc.). Each category is stored as a separate taxonomy tree within the Taxonomy instance. Each node in a taxonomy tree is identified using a node_id. It has attributes: name (a human readable string), level (how far it is from the root node) and type (whether it is a root node, leaf node or body node).
This microservice helps to identify the types of concept that are frequently mentioned in an article. version: '1.0.1' x-additionalinfo: |+ Suggested Use Cases: - - Categorise a particular word to pre-built taxonomy tree. + - Categorise a particular word to pre-built taxonomy tree.

- This microservice can be used to manage taxonomies, such as a hierarchy of product categories used for an eCommerce site. The information in a taxonomy is meta-information about the categories used to classify a set of things. For an eCommerce site, the set of things are items in the product catalog. Users can use this meta-information to enhance search. x-subscribelink: taxonomy_matcher_eng x-apitype: small file From 5e2bb00f9e0dfbef6f71a29ba40bc00c6f298a11 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:53:41 +0530 Subject: [PATCH 5113/5916] Update word_sense_disambiguation_eng.yaml --- nlp/word_sense_disambiguation_eng.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/nlp/word_sense_disambiguation_eng.yaml b/nlp/word_sense_disambiguation_eng.yaml index f9632d5c3..3b7519c36 100644 --- a/nlp/word_sense_disambiguation_eng.yaml +++ b/nlp/word_sense_disambiguation_eng.yaml @@ -2,15 +2,13 @@ openapi: 3.0.1 info: title: Word Sense Disambiguation ENG description: |+ - This NLP microservice takes in a text and a target word and identifies the target word's hypernym. Hypernym refers to the specific meaning of the word within the context of the sentence. For example, colour is a hypernym of red. - - If the word is determined to be a noun within the sentence context, the microservice returns the potential hypernym, definition, and score. Otherwise, no result will be returned for that context. - + This NLP microservice takes in a text and a target word and identifies the target word's hypernym. Hypernym refers to the specific meaning of the word within the context of the sentence. For example, colour is a hypernym of red.
+ If the word is determined to be a noun within the sentence context, the microservice returns the potential hypernym, definition, and score. Otherwise, no result will be returned for that context.
The input text **should not exceed 5000 characters**. version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: - - Information Retrieval - this microservice can be used to build a system that assists users in finding the information they required but it does not explicitly return the answers of the questions. + - Information Retrieval - this microservice can be used to build a system that assists users in finding the information they required but it does not explicitly return the answers of the questions.

- Text Mining and Information Extraction - this microservice can be used to do accurate analysis of text. For example it can help to create an intelligent gathering system to do flagging of the correct words e.g. medical intelligent system might need flagging of “red balloon” rather than “led balloon”. x-subscribelink: word_sense_disambiguation_eng x-apitype: small file From eb22ff15c8785226361846c1b61edac540d5517f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:59:14 +0530 Subject: [PATCH 5114/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index c9b091717..d4813dcb8 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -5,7 +5,7 @@ info: This Computer Vision microservice takes in invoices and extracts meaningful and structured data, including the total amount, tax amount, date and merchant name. The API will return a JSON containing all data that could be extracted, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. - version: '0.1.0' + version: '0.2.0' x-subscribelink: invoice_scanner x-apitype: small file x-apitypedescription: |+ @@ -23,8 +23,8 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Aug 11, 2021" +- name: "v0.2.0" + description: "Published Date - Sep 05, 2022" paths: /microservices/cv/scaninvoice/v0/getresults: post: @@ -329,6 +329,14 @@ components: versions: type: object properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 05, 2022 + x-details: Initial version release + description: Bug Fixed v0.1.0: type: array items: @@ -336,7 +344,7 @@ components: - type: string example: Published Date - Aug 11, 2021 x-details: Initial version release - description: Latest Version + description: Archived input: type: object required: From 8369f4afca41f22fd0ee38cbcea41f973b475001 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 5 Sep 2022 12:59:55 +0530 Subject: [PATCH 5115/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index d4813dcb8..f9d165a0e 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -29,7 +29,7 @@ paths: /microservices/cv/scaninvoice/v0/getresults: post: tags: - - v0.1.0 + - v0.2.0 responses: '200': description: success response From 947e0100650aef3c02e1af89f97f407bf52e7099 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:00:33 +0530 Subject: [PATCH 5116/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 41d00332a..a5ee2a1fc 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -4,7 +4,7 @@ info: description: |+ This Computer Vision microservice takes in receipts and extracts meaningful and structured data, including the total amount, tax amount, date, and merchant name. The API will return a JSON containing all the extracted data, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer-generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. - version: '0.1.0' + version: '0.2.0' x-subscribelink: receipt_scanner x-apitype: small file x-apitypedescription: |+ @@ -22,13 +22,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Aug 11, 2021" +- name: "v0.2.0" + description: "Published Date - Sep 05, 2022" paths: /microservices/cv/scanreceipt/v0/getresults: post: tags: - - v0.1.0 + - v0.2.0 responses: '200': description: success response @@ -1638,6 +1638,14 @@ components: versions: type: object properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 05, 2022 + x-details: Initial version release + description: Bug Fixed v0.1.0: type: array items: From 4a05b61e93facae7a1114b8a0815ee287634cf95 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:01:31 +0530 Subject: [PATCH 5117/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 91050c11c..82390d4fa 100644 --- a/index.yaml +++ b/index.yaml @@ -254,11 +254,11 @@ computer vision: invoice_scanner: title: Invoice Scanner versions: - 0.1.0: 'invoice_scanner.yaml' + 0.2.0: 'invoice_scanner.yaml' receipt_scanner: title: Receipt Scanner versions: - 0.1.0: 'receipt_scanner.yaml' + 0.2.0: 'receipt_scanner.yaml' utility: youtube_video_downloader: title: Youtube Video Downloader From 514d4150a07c1770f5a07e120aa136eb9c7819bf Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:01:45 +0530 Subject: [PATCH 5118/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 1ff8656dd..8d9924d73 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -2,20 +2,15 @@ openapi: 3.0.1 info: title: Named-Entity Recognition JP description: |+ - - This NLP microservice locates and classifies the named-entity classes from input unstructured Japanese text. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - + This NLP microservice locates and classifies the named-entity classes from input unstructured Japanese text.
+ The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
The input text **should not exceed 5000 characters**. - version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: - - Extract structured pre-defined information from text. - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + - Extract structured pre-defined information from text.

+ - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

- Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. x-subscribelink: named-entity_recognition_jp x-apitype: small file From 30227be0009244d01981580e98473c38b7d0635a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:02:52 +0530 Subject: [PATCH 5119/5916] Update named-entity_recognition_jp_v1.0.yaml --- nlp/named-entity_recognition_jp_v1.0.yaml | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/nlp/named-entity_recognition_jp_v1.0.yaml b/nlp/named-entity_recognition_jp_v1.0.yaml index 18992c36c..4223f9b74 100644 --- a/nlp/named-entity_recognition_jp_v1.0.yaml +++ b/nlp/named-entity_recognition_jp_v1.0.yaml @@ -2,18 +2,15 @@ openapi: 3.0.1 info: title: Named-Entity Recognition JP description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - + This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text.
+ The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
Do ensure that your text is within **5000 characters**. version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: - - Extract structured pre-defined information from text. - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. + - Extract structured pre-defined information from text.

+ - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

- Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. x-subscribelink: named-entity_recognition_jp x-apitype: small file From d6029432454a509181137780807703ea17799b31 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:04:48 +0530 Subject: [PATCH 5120/5916] Update named-entity_recognition_thai.yaml --- nlp/named-entity_recognition_thai.yaml | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) diff --git a/nlp/named-entity_recognition_thai.yaml b/nlp/named-entity_recognition_thai.yaml index e3e1ac7eb..d6b61b40b 100644 --- a/nlp/named-entity_recognition_thai.yaml +++ b/nlp/named-entity_recognition_thai.yaml @@ -2,20 +2,15 @@ openapi: 3.0.1 info: title: Named-Entity Recognition THAI description: |+ - This NLP microservice locates and classifies the named-entity classes from input unstructured Thai text and also returns the entity start and end positions. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - + This NLP microservice locates and classifies the named-entity classes from input unstructured Thai text and also returns the entity start and end positions.
+ The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
The input text **should not exceed 5000 characters**. version: '2.0.0' x-additionalinfo: |+ Suggested Use Cases: - - Extract structured pre-defined information from text. - - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - + - Extract structured pre-defined information from text.

+ - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

- Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. x-subscribelink: named-entity_recognition_thai x-apitype: small file From 37e28bf56aca559ff83667dbea31a6d1d09ddb56 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:09:45 +0530 Subject: [PATCH 5121/5916] Update named-entity_recognition_thai_v1.0.yaml --- nlp/named-entity_recognition_thai_v1.0.yaml | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) diff --git a/nlp/named-entity_recognition_thai_v1.0.yaml b/nlp/named-entity_recognition_thai_v1.0.yaml index e42cfd915..a02efb6ed 100644 --- a/nlp/named-entity_recognition_thai_v1.0.yaml +++ b/nlp/named-entity_recognition_thai_v1.0.yaml @@ -2,20 +2,15 @@ openapi: 3.0.1 info: title: Named-Entity Recognition THAI description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text. - - The named-entity classes extracted are people's names, locations, organisations and miscellaneous. - - This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - + This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text.
+ The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
Do ensure that your text is **within 5000 characters**. version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: - - Extract structured pre-defined information from text. - - - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights. - + - Extract structured pre-defined information from text.

+ - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

- Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. x-subscribelink: named-entity_recognition_thai x-apitype: small file From 719859b87ec39b301d7ac1d05e2e4e08b77e46b4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:10:05 +0530 Subject: [PATCH 5122/5916] Update script_alignment.yaml --- nlp/script_alignment.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/nlp/script_alignment.yaml b/nlp/script_alignment.yaml index 6e7828bcb..c1c7d2f03 100644 --- a/nlp/script_alignment.yaml +++ b/nlp/script_alignment.yaml @@ -2,10 +2,8 @@ openapi: 3.0.1 info: title: Script Alignment description: |+ - This NLP microservice aligns the input time-coded transcript with high-quality script. - - The output is a time-coded high-quality script. - + This NLP microservice aligns the input time-coded transcript with high-quality script.
+ The output is a time-coded high-quality script.
The input text **should not exceed 5000 characters**. version: '1.0.0' x-additionalinfo: |+ From 7b54235117c2117a94edf043b75a8728a78c59ef Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:10:27 +0530 Subject: [PATCH 5123/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index defddd439..f5e56c84a 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -2,10 +2,8 @@ info: title: Text Summarization description: |+ - This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. - - The input text should be a minimum of 100 words and a maximum of 1024 words. - + This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words.
+ The input text should be a minimum of 100 words and a maximum of 1024 words.
For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. version: '1.0.0' x-subscribelink: text_summarization From e606623b6e23e5f2279fee58354cfeddb7ead922 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:10:40 +0530 Subject: [PATCH 5124/5916] Update text_summarization_v0.2.yaml --- nlp/text_summarization_v0.2.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/nlp/text_summarization_v0.2.yaml b/nlp/text_summarization_v0.2.yaml index f29929fd4..53f198034 100644 --- a/nlp/text_summarization_v0.2.yaml +++ b/nlp/text_summarization_v0.2.yaml @@ -2,10 +2,8 @@ info: title: Text Summarization description: |+ - This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words. - - The input text should be a minimum of 100 words and a maximum of 512 words. - + This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words.
+ The input text should be a minimum of 100 words and a maximum of 512 words.
For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. version: '0.2.0' x-subscribelink: text_summarization From 8a0d4f3d267d0df0c88911bf073223d38a2aaddb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:11:29 +0530 Subject: [PATCH 5125/5916] Update sentiment_analysis_and_sarcasm_detection.yaml --- nlp/sentiment_analysis_and_sarcasm_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/sentiment_analysis_and_sarcasm_detection.yaml b/nlp/sentiment_analysis_and_sarcasm_detection.yaml index 34da0107f..c3be959bf 100644 --- a/nlp/sentiment_analysis_and_sarcasm_detection.yaml +++ b/nlp/sentiment_analysis_and_sarcasm_detection.yaml @@ -3,8 +3,8 @@ info: title: Sentiment Analysis and Sarcasm Detection x-subscribelink: sentiment_analysis_and_sarcasm_detection description: |+ - This NLP microservice accepts text and returns a response containing the overall sarcasm of the input text as well as the overall sentiment and confidence score for each sentiment label (positive, negative, and neutral). - There are no limitations to the number of characters that you can input. However, for the best results, please input short text such as tweets, comments, news, and headlines. + This NLP microservice accepts text and returns a response containing the overall sarcasm of the input text as well as the overall sentiment and confidence score for each sentiment label (positive, negative, and neutral).
+ There are no limitations to the number of characters that you can input. However, for the best results, please input short text such as tweets, comments, news, and headlines.
The input text **should not exceed 5000 characters**. version: '0.1.1' x-apitype: small file From b8f1c72dd39bed54781f4810876eb8f3c6f676a3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:14:10 +0530 Subject: [PATCH 5126/5916] Update google_translate.yaml --- nlp/google_translate.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/nlp/google_translate.yaml b/nlp/google_translate.yaml index a2e52403e..032a73951 100644 --- a/nlp/google_translate.yaml +++ b/nlp/google_translate.yaml @@ -2,10 +2,11 @@ openapi: 3.0.1 info: title: Google Translate description: |+ - This document describes how to use the Cloud Translation - Basic (v2) to translate text. - The input text can be plain text or HTML. Cloud Translation - Basic does not translate any HTML tags in the input, only text that appears between the tags. The output retains the (untranslated) HTML tags, with the translated text between the tags to the extent possible due to differences between the source and target languages. The order of HTML tags in the output may differ from the order in the input text due to word order changes in the translation. + This document describes how to use the Cloud Translation - Basic (v2) to translate text.
+ The input text can be plain text or HTML. Cloud Translation - Basic does not translate any HTML tags in the input, only text that appears between the tags.
+ The output retains the (untranslated) HTML tags, with the translated text between the tags to the extent possible due to differences between the source and target languages. The order of HTML tags in the output may differ from the order in the input text due to word order changes in the translation. x-additionalinfo: |+ - **Supported languages are:** + **Supported languages are:**

- af - afrikaans - sq - albanian - am - amharic From 02b7af1fcf9c56516048bedea2199e1ccd143d0d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:14:48 +0530 Subject: [PATCH 5127/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index 67e2d496c..cc1fcba90 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -5,10 +5,10 @@ info: This microservice takes in the input as file and translates the text and return the output as file. - Supports the following file formats: .pdf, .txt, .docx x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need:

- - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/nlp/google_translate_large_file - - The file upload form https://sentient.io/upload/form.html + - Detailed reference to the additional parameters https://dev-docs.sentient.io/#/nlp/google_translate_large_file

+ - The file upload form https://sentient.io/upload/form.html

**Supported languages are:** - af - afrikaans - sq - albanian From 1452eee588e7c54da9d7b18093d1f43b2951a3eb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:17:53 +0530 Subject: [PATCH 5128/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 19 +++++++++---------- 1 file changed, 9 insertions(+), 10 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index eeb5533f9..34e0ac90d 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -2,31 +2,30 @@ openapi: 3.0.1 info: title: Text Generation using GPT-J 6B description: |+ - This microservice is used for text generation using a [language model](https://en.wikipedia.org/wiki/Language_model) with GPT-J 6B model. + This microservice is used for text generation using a [language model](https://en.wikipedia.org/wiki/Language_model) with GPT-J 6B model.
A language model predicts what is the next words based on probabilities. For example given an: **input text like**: "Hello my name is Lee Hsien Loong and I am" - **generated output**: "Hello my name is Lee Hsien Loong and I am the Prime Minister of the Republic of Singapore.\n\nI would like to talk to you today about the importance of education" - - You can use these models for code-generation, calculating arithmetic, language translation etc. + **generated output**: "Hello my name is Lee Hsien Loong and I am the Prime Minister of the Republic of Singapore.\n\nI would like to talk to you today about the importance of education"
+ You can use these models for code-generation, calculating arithmetic, language translation etc.
**About the model** `GPT-J 6B` is a transformer model trained using Ben Wang's Mesh Transformer JAX and is considered as an 6B parameter open-source version of `GPT-3`. - `GPT-J` refers to the class of model, while `6B` represents the number of trainable parameters. + `GPT-J` refers to the class of model, while `6B` represents the number of trainable parameters.
Do ensure you **token_length limit is within 100**. version: v0.1.0 x-additionalinfo: |+ - Suitable input text(also know as prompt) for generating Text for various use cases can be found below: + Suitable input text(also know as prompt) for generating Text for various use cases can be found below:

1. Code Generation - **prompt**: "program: print fibonaci series of n numbers using C++" + **prompt**: "program: print fibonaci series of n numbers using C++"

2. Calculating Arithmetic - **prompt**: "what is 1033 + 37" + **prompt**: "what is 1033 + 37"

3. Translation **prompt**: "English: Good morning french:" - **Supported languages are:** - - English + **Supported languages are:**

+ - English

The model is trained on the Pile dataset is a 825 GiB, diverse, open source language modelling data set developed by EleutherAI. x-subscribelink: text_generation_gptj6b From 0bd1dcf3dbd8043e946851ab6d2c2d3a18a2511d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:18:28 +0530 Subject: [PATCH 5129/5916] Update machine_translation.yaml --- nlp/machine_translation.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/machine_translation.yaml b/nlp/machine_translation.yaml index 7ffb594cb..93e68b4e4 100644 --- a/nlp/machine_translation.yaml +++ b/nlp/machine_translation.yaml @@ -2,18 +2,18 @@ openapi: 3.0.1 info: title: Machine Translation description: |+ - This NLP microservice provides machine translation for the four official languages in Singapore (English, Malay, Chinese, Tamil). Additional language pair models can be added on. This model can also be deployed on-prem and used for future custom training. - + This NLP microservice provides machine translation for the four official languages in Singapore (English, Malay, Chinese, Tamil).
+ Additional language pair models can be added on. This model can also be deployed on-prem and used for future custom training.
Do ensure that your text is within **500 characters**. version: v0.1.0 x-additionalinfo: |+ - **Supported languages are:** + **Supported languages are:**

- zh - chinese - en - english - ms - malay (minangkabau) - ta - tamil - **Suggested usecases:** + **Suggested usecases:**

It can be used to translate text for any applications, and can be augmented to internationalize NLP microservices provided by sentient.io. x-subscribelink: machine_translation From 93f39144137ac4376e722ef4096fd575ead78c73 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:23:43 +0530 Subject: [PATCH 5130/5916] Update machine_translation.yaml --- nlp/machine_translation.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/machine_translation.yaml b/nlp/machine_translation.yaml index 93e68b4e4..56f60fe06 100644 --- a/nlp/machine_translation.yaml +++ b/nlp/machine_translation.yaml @@ -7,13 +7,13 @@ info: Do ensure that your text is within **500 characters**. version: v0.1.0 x-additionalinfo: |+ - **Supported languages are:**

+ **Supported languages are:**
- zh - chinese - en - english - ms - malay (minangkabau) - ta - tamil - **Suggested usecases:**

+ **Suggested usecases:**
It can be used to translate text for any applications, and can be augmented to internationalize NLP microservices provided by sentient.io. x-subscribelink: machine_translation From a9c4593cd900c3e4794a50ef902cd3ff4f2188f0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:31:05 +0530 Subject: [PATCH 5131/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 34e0ac90d..e9c1f352f 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -3,15 +3,15 @@ info: title: Text Generation using GPT-J 6B description: |+ This microservice is used for text generation using a [language model](https://en.wikipedia.org/wiki/Language_model) with GPT-J 6B model.
- A language model predicts what is the next words based on probabilities. For example given an: + A language model predicts what is the next words based on probabilities. For example given an:
**input text like**: "Hello my name is Lee Hsien Loong and I am" **generated output**: "Hello my name is Lee Hsien Loong and I am the Prime Minister of the Republic of Singapore.\n\nI would like to talk to you today about the importance of education"
- You can use these models for code-generation, calculating arithmetic, language translation etc.
+ You can use these models for code-generation, calculating arithmetic, language translation etc.

- **About the model** + **About the model**
`GPT-J 6B` is a transformer model trained using Ben Wang's Mesh Transformer JAX and is considered as an 6B parameter open-source version of `GPT-3`. - `GPT-J` refers to the class of model, while `6B` represents the number of trainable parameters.
+ `GPT-J` refers to the class of model, while `6B` represents the number of trainable parameters.

Do ensure you **token_length limit is within 100**. version: v0.1.0 @@ -22,9 +22,9 @@ info: 2. Calculating Arithmetic **prompt**: "what is 1033 + 37"

3. Translation - **prompt**: "English: Good morning french:" + **prompt**: "English: Good morning french:"

- **Supported languages are:**

+ **Supported languages are:**
- English

The model is trained on the Pile dataset is a 825 GiB, diverse, open source language modelling data set developed by EleutherAI. From 33b27c3e00e0b3e571bda4eed6d986191e53510c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:40:27 +0530 Subject: [PATCH 5132/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 7ec6c385e..0f88d731a 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: People Counting (Large File) description: |+ - This Computer Vision microservice tracks and counts people appearing in the input video. + This Computer Vision microservice tracks and counts people appearing in the input video.
This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need the file upload form https://sentient.io/upload/form.html From fe9ce9a1bae32cadc9997bc96859a682d9a1c9f4 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:42:34 +0530 Subject: [PATCH 5133/5916] Update person_reidentification.yaml --- computer_vision/person_reidentification.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/computer_vision/person_reidentification.yaml b/computer_vision/person_reidentification.yaml index 42e90d380..d3cc7eb17 100644 --- a/computer_vision/person_reidentification.yaml +++ b/computer_vision/person_reidentification.yaml @@ -3,10 +3,11 @@ openapi: 3.0.1 info: title: Person Reidentification description: |+ - This Computer Vision microservice returns a similarity score (confidence) between two cropped images of people in the same scene. The images are captured across different camera views in a multi-camera system, or across different time in a single camera system. + This Computer Vision microservice returns a similarity score (confidence) between two cropped images of people in the same scene.
+ The images are captured across different camera views in a multi-camera system, or across different time in a single camera system.
The size of your image **should not exceed 5MB**. x-additionalinfo: |+ - The algorithm is tested on varying conditions with single and multiple surveillance camera setups. However, external conditions like lighting, occlusions, and unexpected change of appearance (e.g. removal of jacket, hatwear) may result in lower confidence than expected. A threshold of 0.8 confidence has been experimentally tested as a good value for many scenarios for determining if the two input images are of the same person. + The algorithm is tested on varying conditions with single and multiple surveillance camera setups. However, external conditions like lighting, occlusions, and unexpected change of appearance (e.g. removal of jacket, hatwear) may result in lower confidence than expected. A threshold of 0.8 confidence has been experimentally tested as a good value for many scenarios for determining if the two input images are of the same person.
Supported File Formats - .blp - .bmp From 03b490a3db71428e3b45b7a0c9f47cedcc679ac3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:45:06 +0530 Subject: [PATCH 5134/5916] Update landmark_detection.yaml --- computer_vision/landmark_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/landmark_detection.yaml b/computer_vision/landmark_detection.yaml index 2487bbeb6..0c04c02e8 100644 --- a/computer_vision/landmark_detection.yaml +++ b/computer_vision/landmark_detection.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Landmark Detection description: |+ - This Computer Vision microservice identifies Singaporean and Japanese landmarks from multiple input images based on the location parameter. The default location is Singapore. - The microservice returns the detected landmark and confidence score. + This Computer Vision microservice identifies Singaporean and Japanese landmarks from multiple input images based on the location parameter. The default location is Singapore.
+ The microservice returns the detected landmark and confidence score.
The size of your image file **should not exceed 5 MB**. x-additionalinfo: |+ Suggested Use Cases: From d1b9eb74c0b8d6d9cfc1108fae6ab8dfd0968d15 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:45:23 +0530 Subject: [PATCH 5135/5916] Update landmark_recognition_sg.yaml --- computer_vision/landmark_recognition_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/landmark_recognition_sg.yaml b/computer_vision/landmark_recognition_sg.yaml index 3dce812a8..d671519a2 100644 --- a/computer_vision/landmark_recognition_sg.yaml +++ b/computer_vision/landmark_recognition_sg.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Landmark Detection (SG) description: |+ - This Computer Vision microservice identifies Singaporean landmarks from multiple input images. - This microservice returns the detected landmark and confidence score. + This Computer Vision microservice identifies Singaporean landmarks from multiple input images.
+ This microservice returns the detected landmark and confidence score.
The size of your image file **should not exceed 5 MB**. x-additionalinfo: |+ Suggested Use Cases: From 34ba3eed7a0726725a5ad248176fd62b49b1e277 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:47:22 +0530 Subject: [PATCH 5136/5916] Update landmark_recognition_jp.yaml --- computer_vision/landmark_recognition_jp.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/landmark_recognition_jp.yaml b/computer_vision/landmark_recognition_jp.yaml index fab168ccc..c268f104f 100644 --- a/computer_vision/landmark_recognition_jp.yaml +++ b/computer_vision/landmark_recognition_jp.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Landmark Detection (JP) description: |+ - This Computer Vision microservice identifies Japanese landmarks from multiple input images. - The microservice returns the detected landmark and confidence score. + This Computer Vision microservice identifies Japanese landmarks from multiple input images.
+ The microservice returns the detected landmark and confidence score.
The size of your image file **should not exceed 5 MB**. x-additionalinfo: |+ Suggested Use Cases: From 3bd03ed86c7172d542daa4d9fdca171ddf925ffb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:47:52 +0530 Subject: [PATCH 5137/5916] Update demographics_classification.yaml --- computer_vision/demographics_classification.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/computer_vision/demographics_classification.yaml b/computer_vision/demographics_classification.yaml index 0bacbe95f..c7818619a 100644 --- a/computer_vision/demographics_classification.yaml +++ b/computer_vision/demographics_classification.yaml @@ -2,7 +2,8 @@ openapi: 3.0.1 info: title: Demographics Classification description: |+ - This Computer Vision microservice identifies faces within an input image and predicts the demographics of each face (age, gender and race). The image is processed as an input encoded using base64. The results will then be returned back to the user as a JSON output together with bounding box coordinates for each face. Races include: Asian, Indian, White, Black, Middle Eastern and Latino Hispanic + This Computer Vision microservice identifies faces within an input image and predicts the demographics of each face (age, gender and race). + The image is processed as an input encoded using base64. The results will then be returned back to the user as a JSON output together with bounding box coordinates for each face. Races include: Asian, Indian, White, Black, Middle Eastern and Latino Hispanic
The size of your image file should **not exceed 10 MB**, and the image dimension should be **at least 416x416 pixels**. x-additionalinfo: |+ Suggested Use Cases: From d9c633190ccc036aaaae8af07bd194d9df6bb28f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:48:20 +0530 Subject: [PATCH 5138/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 96010ed32..eb028e7c8 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -2,7 +2,8 @@ openapi: 3.0.1 info: title: Thumbnail Generation (Large File) description: |+ - This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video. Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis. + This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video.
+ Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis. version: '0.1.0' From 23128a009ff503c49020d326886689ab87f149f2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:48:34 +0530 Subject: [PATCH 5139/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index f9d165a0e..785f2677c 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: Invoice Scanner description: |+ - This Computer Vision microservice takes in invoices and extracts meaningful and structured data, including the total amount, tax amount, date and merchant name. - + This Computer Vision microservice takes in invoices and extracts meaningful and structured data, including the total amount, tax amount, date and merchant name.
The API will return a JSON containing all data that could be extracted, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. version: '0.2.0' x-subscribelink: invoice_scanner From 5c85fb6293186a9e8c8a778c4066e8f0607a6136 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:48:46 +0530 Subject: [PATCH 5140/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index a5ee2a1fc..818b06793 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Receipt Scanner description: |+ - This Computer Vision microservice takes in receipts and extracts meaningful and structured data, including the total amount, tax amount, date, and merchant name. + This Computer Vision microservice takes in receipts and extracts meaningful and structured data, including the total amount, tax amount, date, and merchant name.
The API will return a JSON containing all the extracted data, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer-generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. version: '0.2.0' x-subscribelink: receipt_scanner From cebc60ab40456a09cf95332ab5e682206b213d57 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:49:10 +0530 Subject: [PATCH 5141/5916] Update people_counting_v0.1.yaml --- computer_vision/people_counting_v0.1.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/computer_vision/people_counting_v0.1.yaml b/computer_vision/people_counting_v0.1.yaml index 5dc998d9f..4639fd69d 100644 --- a/computer_vision/people_counting_v0.1.yaml +++ b/computer_vision/people_counting_v0.1.yaml @@ -2,10 +2,8 @@ openapi: 3.0.1 info: title: People Counting description: |+ - This Computer Vision microservice tracks and counts people appearing in the input video. - - This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance and the duration and confidence of each person detected. - + This Computer Vision microservice tracks and counts people appearing in the input video.
+ This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance and the duration and confidence of each person detected.
The size of your image file should **not exceed 10 MB**, and the image dimension should be **least more than 416x416 pixels**. x-additionalinfo: |+ Suggested Use Cases: From 385f029b40b63d59e1501d95e8c1dc3cdc7d7bb0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:49:37 +0530 Subject: [PATCH 5142/5916] Update image_text_similarity.yaml --- computer_vision/image_text_similarity.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/image_text_similarity.yaml b/computer_vision/image_text_similarity.yaml index fdd04233d..0f091f83f 100644 --- a/computer_vision/image_text_similarity.yaml +++ b/computer_vision/image_text_similarity.yaml @@ -3,7 +3,7 @@ openapi: 3.0.1 info: title: Image-Text Similarity description: |+ - This microservice is used to predict the similarity between an input image and list of text snippets and return a score corresponding to the most relevant text that matches the image. + This microservice is used to predict the similarity between an input image and list of text snippets and return a score corresponding to the most relevant text that matches the image.
The underlying model is built using a neural network called CLIP (Contrastive Language-Image Pre-Training) that is trained on a variety of (image, text) pairs. The image file size cannot exceed 5MB. version: v0.1.0 x-subscribelink: image_text_similarity From 59b8261d45d0e08ffc60e9cbb4e5b77f34454e5d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:50:08 +0530 Subject: [PATCH 5143/5916] Update paddleocr.yaml --- computer_vision/paddleocr.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/paddleocr.yaml b/computer_vision/paddleocr.yaml index 9b2d03d1c..28175797e 100644 --- a/computer_vision/paddleocr.yaml +++ b/computer_vision/paddleocr.yaml @@ -3,8 +3,8 @@ openapi: 3.0.1 info: title: Image Text Detection and Recognition in Wild description: |+ - To create a OCR model for recognizing text in wild leveraging paddleocr library. It supports both text detection & text recognition. It recognize text in English, Chinese, Gereman, French Japanese and some more languages as it's a multi-lingual model. - + To create a OCR model for recognizing text in wild leveraging paddleocr library. It supports both text detection & text recognition.
+ It recognize text in English, Chinese, Gereman, French Japanese and some more languages as it's a multi-lingual model.
Do ensure that your image file size is within **5MB** size. version: v0.1.0 x-subscribelink: paddleocr From 5c0a3e9fdd49cbb2871879e1707fb992f1df3fff Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:50:41 +0530 Subject: [PATCH 5144/5916] Update object_detection.yaml --- computer_vision/object_detection.yaml | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/computer_vision/object_detection.yaml b/computer_vision/object_detection.yaml index b1f4ab4fd..f107cc43e 100644 --- a/computer_vision/object_detection.yaml +++ b/computer_vision/object_detection.yaml @@ -2,17 +2,14 @@ openapi: 3.0.1 info: title: Object Detection description: |+ - This Computer Vision microservice detects objects in the input image. - - The microservice returns detected objects with their classes and their bounding boxes in the image coordinates. - - The classes are: person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hotdog, pizza, donut, cake, chair, sofa, potted plant, bed, dining table, toilet, tv monitor, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair dryer, toothbrush. - + This Computer Vision microservice detects objects in the input image.
+ The microservice returns detected objects with their classes and their bounding boxes in the image coordinates.
+ The classes are: person, bicycle, car, motorbike, aeroplane, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hotdog, pizza, donut, cake, chair, sofa, potted plant, bed, dining table, toilet, tv monitor, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair dryer, toothbrush.
The size of your image file should **not exceed 5 MB**, and the image dimension should be **at least 416x416 pixels**. x-additionalinfo: |+ Suggested Use Cases: - - Industrial inspection - use Object Detection to automate the quality control process in manufacturing by enabling edge devices to identify defects. - - Product search - build a product search app to find products of interest within images and visually search product catalogs. + - Industrial inspection - use Object Detection to automate the quality control process in manufacturing by enabling edge devices to identify defects.

+ - Product search - build a product search app to find products of interest within images and visually search product catalogs.

- Build an object detection app for the visually-impaired - help users identify daily objects that they may need aid in recognising version: '1.1.0' x-subscribelink: object_detection From 8edaa49cf45eb606690f06c58fc48341612222d2 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:51:43 +0530 Subject: [PATCH 5145/5916] Update face_recognition.yaml --- computer_vision/face_recognition.yaml | 16 +++++++--------- 1 file changed, 7 insertions(+), 9 deletions(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index 774b0947f..5625e8473 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -2,20 +2,18 @@ openapi: 3.0.1 info: title: Face Recognition description: |+ - This Computer Vision microservice recognises faces of Singaporean and Japanese public figures (e.g. athletes, business leaders, celebrities, politicians, TV personalities, etc). - - This microservice returns the identity of the person, the bounding box in image coordinates, and the confidence of the prediction. Users can further filter the results by countries, profession or even down to the individual names. - - Help us grow this microservice! [Let us know](https://www.sentient.io/contact) which other public figures you would like this microservice to recognise (e.g. a new country or a new category). We will expand the capability of this microservices based on user feedback and demand. + This Computer Vision microservice recognises faces of Singaporean and Japanese public figures (e.g. athletes, business leaders, celebrities, politicians, TV personalities, etc).
+ This microservice returns the identity of the person, the bounding box in image coordinates, and the confidence of the prediction. Users can further filter the results by countries, profession or even down to the individual names.
+ Help us grow this microservice! [Let us know](https://www.sentient.io/contact) which other public figures you would like this microservice to recognise (e.g. a new country or a new category). We will expand the capability of this microservices based on user feedback and demand.
The size of your image file **should not exceed 10 MB** version: '1.0.1' x-additionalinfo: |+ - **Full List of Filters** + **Full List of Filters**
Users may choose to filter the output using any of these filters below. 1. Countries: - Japan - - Singapore + - Singapore

2. Categories: - Olympic_medalist @@ -53,10 +51,10 @@ info: - television_actors - television_actresses - television_personalities - - television_presenters + - television_presenters

3. Individual Names - If you happen to know the individual names of the faces you hope to recognise, you may also put in the individual names as a filter. + If you happen to know the individual names of the faces you hope to recognise, you may also put in the individual names as a filter.

**Suggested Use Cases** - For solutions related to identifying the speaker for auto-tagging, or matching the transcription to a person that is a Singaporean politician, or a Singaporean/Japanese public figure. From f437fdf395f9cbeceefe6303b973dfcb865a6daf Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:52:45 +0530 Subject: [PATCH 5146/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 8f92ee978..60b41a011 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -2,16 +2,14 @@ openapi: 3.0.1 info: title: Few Shots Object Detection description: |+ - This Computer Vision microservice detects a single user-defined object class in the input query image and returns detected objects and their bounding boxes in the image coordinates. - - The object class is defined by the user with a set of support images. Each support image should be tightly cropped to the relevant part of the objects. E.g. To detect car tyres, cropped away other parts of the car; with only the tyre visible. - + This Computer Vision microservice detects a single user-defined object class in the input query image and returns detected objects and their bounding boxes in the image coordinates.
+ The object class is defined by the user with a set of support images. Each support image should be tightly cropped to the relevant part of the objects. E.g. To detect car tyres, cropped away other parts of the car; with only the tyre visible.
The size of your image files should not exceed 5 MB, and the image dimension should be at least 416x416 pixels. x-additionalinfo: |+ To improve object detection accuracy: - - ensure that the support images are of the same orientation as how it should appear in the query image - - crop out all unnecessary elements (such as a busy background) from the support images + - ensure that the support images are of the same orientation as how it should appear in the query image

+ - crop out all unnecessary elements (such as a busy background) from the support images

- ensure that the support images are variations of the same object, and not images of multiple (different) objects. version: v0.1.1 x-subscribelink: few_shots_object_detection From 8b616be21752bd13d26502c14a3c509f104c3b55 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:53:04 +0530 Subject: [PATCH 5147/5916] Update masked_face_recognition.yaml --- computer_vision/masked_face_recognition.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/masked_face_recognition.yaml b/computer_vision/masked_face_recognition.yaml index 55ffa305c..2511fa79a 100644 --- a/computer_vision/masked_face_recognition.yaml +++ b/computer_vision/masked_face_recognition.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Masked Face Recognition description: |+ - This microservice is used to recognise faces of identities behind a mask. The model has been trained on Singapore Politicians Data. - The size of your image file should **not exceed 5 MB**. Minimum image resolution for a perfect face detectiona and recognition should be 250X250 pixels. + This microservice is used to recognise faces of identities behind a mask. The model has been trained on Singapore Politicians Data.
+ The size of your image file should **not exceed 5 MB**. Minimum image resolution for a perfect face detectiona and recognition should be 250X250 pixels.
The model works well for frontal masked faces. version: v0.1.0 x-additionalinfo: |+ From b1d53be14e6d3371aa2e57fd45c705cb724da9f6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 13:53:23 +0530 Subject: [PATCH 5148/5916] Update people_counting.yaml --- computer_vision/people_counting.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/people_counting.yaml b/computer_vision/people_counting.yaml index 8e2dbc03d..cf138936c 100644 --- a/computer_vision/people_counting.yaml +++ b/computer_vision/people_counting.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: People Counting description: |+ - This Computer Vision microservice tracks and counts people appearing in the input video. - This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected. + This Computer Vision microservice tracks and counts people appearing in the input video.
+ This microservice returns the number of people detected in that video, the likelihood of overestimation/underestimation, the first appearance, the duration and confidence of each person detected.
The size of your image file **should not exceed 10 MB**, and the image dimension **should be at least 416x416 pixels**. x-additionalinfo: |+ Suggested Use Cases: From f7a9fb69e2c95ac47640159f48cec0d85e2b2024 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 14:38:54 +0530 Subject: [PATCH 5149/5916] Update face_recognition.yaml --- computer_vision/face_recognition.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/computer_vision/face_recognition.yaml b/computer_vision/face_recognition.yaml index 5625e8473..ba4243b15 100644 --- a/computer_vision/face_recognition.yaml +++ b/computer_vision/face_recognition.yaml @@ -8,12 +8,12 @@ info: The size of your image file **should not exceed 10 MB** version: '1.0.1' x-additionalinfo: |+ - **Full List of Filters**
- Users may choose to filter the output using any of these filters below. + **Full List of Filters** + Users may choose to filter the output using any of these filters below.
1. Countries: - Japan - - Singapore

+ - Singapore
2. Categories: - Olympic_medalist @@ -51,10 +51,10 @@ info: - television_actors - television_actresses - television_personalities - - television_presenters

+ - television_presenters
3. Individual Names - If you happen to know the individual names of the faces you hope to recognise, you may also put in the individual names as a filter.

+ If you happen to know the individual names of the faces you hope to recognise, you may also put in the individual names as a filter.
**Suggested Use Cases** - For solutions related to identifying the speaker for auto-tagging, or matching the transcription to a person that is a Singaporean politician, or a Singaporean/Japanese public figure. From c56439235781bda75975459ebbe015a7bf13d1dd Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:35:04 +0530 Subject: [PATCH 5150/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index 944702e65..9fe4b2a44 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -3,8 +3,8 @@ info: title: HDB Commercial Directories (SG) x-subscribelink: commercial_directories_hdb_sg description: |+ - This Data microservice retrieves the list of all retail shops within Housing Development Board (HDB) and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates and type of business. The returned dataset offers useful information like the shop operating hours and contact number. Updated weekly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + This Data microservice retrieves the list of all retail shops within Housing Development Board (HDB) and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates and type of business. The returned dataset offers useful information like the shop operating hours and contact number. Updated weekly.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). @@ -13,9 +13,9 @@ info: - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: Name retail shops in HDBs based on their GPS location. - **Refining queries in the filterdata field using filter types and match types** + **Refining queries in the filterdata field using filter types and match types**
- The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.
**Filter Types:** @@ -58,8 +58,8 @@ info: > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). - **Forming sophisticated queries using combinations of filter types (in JSON)** + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html).
+ **Forming sophisticated queries using combinations of filter types (in JSON)**
Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: > { > "must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}], From eca5d10fa9b1d0692f8814c77742fc9939e733ce Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:42:09 +0530 Subject: [PATCH 5151/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 81f0d9d51..d0d1b32ec 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -6,8 +6,6 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. - - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/recommendation_engine.yaml x-subscribelink: recommendation_engine x-apitype: Subscription x-apitypedescription: |+ From acd3a06ac6b7cd6368b1d639ed23fe713457e438 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:42:41 +0530 Subject: [PATCH 5152/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 3 --- 1 file changed, 3 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 3e7edfe1b..994c30c6a 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -8,9 +8,6 @@ info: Only English language texts will be addressed. In addition to the Content Interest Profiling microservices, we are also releasing a few analytics overview microservice namely, traffic overview, page overview, and external id analytics. x-additionalinfo : |+ - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/content_interest_profile.yaml - Filters are applicable only for Content and Interest Profiling APIs. **Match Types:** From 261bb93d0dff8d832e8c13a584a198f849787cee Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:43:52 +0530 Subject: [PATCH 5153/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 024619eec..40f1449a4 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -10,7 +10,6 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/fleet_routing_engine.yaml x-subscribelink: fleetroutingengine x-apitype: Subscription x-apitypedescription: |+ From 44877d8cc0254be1da8f30ec17be9da1615c32d4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:44:04 +0530 Subject: [PATCH 5154/5916] Update commercial_directories_hdb_sg.yaml --- data/commercial_directories_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/commercial_directories_hdb_sg.yaml b/data/commercial_directories_hdb_sg.yaml index 9fe4b2a44..bf040e661 100644 --- a/data/commercial_directories_hdb_sg.yaml +++ b/data/commercial_directories_hdb_sg.yaml @@ -4,7 +4,7 @@ info: x-subscribelink: commercial_directories_hdb_sg description: |+ This Data microservice retrieves the list of all retail shops within Housing Development Board (HDB) and allows you to search for a shop by its name, address, building name, postal code, latitude and longitude coordinates and type of business. The returned dataset offers useful information like the shop operating hours and contact number. Updated weekly.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). @@ -13,9 +13,9 @@ info: - Build a resident community mobile app with e-commerce collection and estate directory features. To illustrate, the app can: Name retail shops in HDBs based on their GPS location. - **Refining queries in the filterdata field using filter types and match types**
+ **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.
+ The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.

**Filter Types:** @@ -59,7 +59,7 @@ info: > {"exists":{ "field": "postalcode"}} For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html).
- **Forming sophisticated queries using combinations of filter types (in JSON)**
+ **Forming sophisticated queries using combinations of filter types (in JSON)** Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: > { > "must":[{"match_phrase":{"street":"ang mo kio avenue 6"}}], From f99a8c61a32e09d53fcf8a769516995bd34afa01 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:44:05 +0530 Subject: [PATCH 5155/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index f2f952e82..28acdca1b 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -6,7 +6,6 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of different types of Fortell Prediction APIs. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/foretell_prediction.yaml x-subscribelink: foretellprediction x-apitype: Subscription x-apitypedescription: |+ From 7a0ee0c7ded50c13509b072a819cca5068abefc1 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:44:16 +0530 Subject: [PATCH 5156/5916] Update foretell_profiling.yaml --- analytics/foretell_profiling.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/analytics/foretell_profiling.yaml b/analytics/foretell_profiling.yaml index 8bc0459e8..8bc3382c3 100644 --- a/analytics/foretell_profiling.yaml +++ b/analytics/foretell_profiling.yaml @@ -6,7 +6,6 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of different types of Fortell Profiling APIs. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/foretell_profiling.yaml x-subscribelink: foretellprofiling x-apitype: Subscription x-apitypedescription: |+ From c32945ea3f144d896f3f547edd7d15c0c7bc4674 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:44:30 +0530 Subject: [PATCH 5157/5916] Update load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index ef16ede7e..3f50583b8 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -6,7 +6,6 @@ info: version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. - - Tryitout by clicking the link here https://editor.swagger.io/?url=https://storage.googleapis.com/analytics_docs/load_planning_engine.yaml x-subscribelink: loadplanningengine x-apitype: Subscription x-apitypedescription: |+ From 454afeef14ebaf3a5da7dc4c4bf19856a4b36bf7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:47:28 +0530 Subject: [PATCH 5158/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index 95df3907d..00ae0ae11 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -12,9 +12,9 @@ info: - Selective En bloc Redevelopment Scheme
Information on update programmes are announcement date, completion date, name of upgrading programme, latest status, precinct name/code, block, street, postal code, latitude and longitude - coordinates. The information is updated quaterly. A successful call will return the results of the query in JSON format.
+ coordinates. The information is updated quaterly. A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to - benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). @@ -25,7 +25,7 @@ info: **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.

**Filter Types:** @@ -68,7 +68,7 @@ info: > {"exists":{ "field": "postalcode"}} - For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html). + For a more detailed guide to match types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/7.9/term-level-queries.html).
**Forming sophisticated queries using combinations of filter types (in JSON)** Multiple filter types can be combined together in one query (written in JSON format) to form a very sophisticated query. Here’s one example below: > { From a503df31ffab20fdaea7fa2bac332097f9a4fcb4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:50:10 +0530 Subject: [PATCH 5159/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index 86387159f..75f4555d6 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -3,9 +3,9 @@ info: title: HDB Covered Linkway (SG) x-subscribelink: hdb_covered_linkway description: |+ - This Data Microservice captures the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The “Center Line” was created manually from the “HDB COVERED LINKWAY” surface (polygon) dataset and is therefore only an estimate of the center path of the real object. + This Data Microservice captures the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The “Center Line” was created manually from the “HDB COVERED LINKWAY” surface (polygon) dataset and is therefore only an estimate of the center path of the real object.
- A successful call will return the results of the query in JSON format. + A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. @@ -21,7 +21,7 @@ info: * **geo_distance** - Returns the geo search based on the distance and location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.3672863083071272,103.84016886318425"}} * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. + relation should be anyone based on requirement.
> INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. > WITHIN - Return all documents whose geo_shape field is within the query geometry. From 579986045bf5ff6586990264b173eb8cac307283 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:51:39 +0530 Subject: [PATCH 5160/5916] Update hdb_town_estates.yaml --- data/hdb_town_estates.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_town_estates.yaml b/data/hdb_town_estates.yaml index 93e5f8ac4..cceb7cd2b 100644 --- a/data/hdb_town_estates.yaml +++ b/data/hdb_town_estates.yaml @@ -3,9 +3,9 @@ info: title: HDB Town and Estate Boundaries (SG) x-subscribelink: hdb_town_estate description: |+ - The HDB towns/estates boundary is defined to facilitate planning and development of HDB towns/estates. It defines the areas that HDB will carry out the landuse planning to facilitate development of the HDB towns/estates. The boundary is used for planning purposes (eg planning of HDB’s Building Plan and planning for provision of facilities within HDB towns by relevant agencies) and for reporting of HDB statistics (eg. HDB flats under management by towns as in HDB’s annual report). The boundary is digitised mainly following the URA’s DGP/Planning boundary or road/drain as physical boundary. The boundary will be updated as and when new areas are earmarked by URA for public housing development. + The HDB towns/estates boundary is defined to facilitate planning and development of HDB towns/estates. It defines the areas that HDB will carry out the landuse planning to facilitate development of the HDB towns/estates. The boundary is used for planning purposes (eg planning of HDB’s Building Plan and planning for provision of facilities within HDB towns by relevant agencies) and for reporting of HDB statistics (eg. HDB flats under management by towns as in HDB’s annual report). The boundary is digitised mainly following the URA’s DGP/Planning boundary or road/drain as physical boundary. The boundary will be updated as and when new areas are earmarked by URA for public housing development.
- A successful call will return the results of the query in JSON format. + A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. @@ -21,7 +21,7 @@ info: * **geo_distance** - Returns the geo search based on the distance and location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.4250001817500824, 103.85405924302191"}} * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. + relation should be anyone based on requirement.
> INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. > WITHIN - Return all documents whose geo_shape field is within the query geometry. From dd7b32f1ed8ff394968c129c6231b9c3c9e6ef65 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:52:50 +0530 Subject: [PATCH 5161/5916] Update video-to-audio_converter.yaml --- utility/video-to-audio_converter.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/utility/video-to-audio_converter.yaml b/utility/video-to-audio_converter.yaml index 0167b27c0..c4d052b6c 100644 --- a/utility/video-to-audio_converter.yaml +++ b/utility/video-to-audio_converter.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: Video-To-Audio Converter description: |+ - This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format. - + This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format.
The size of your video file **should not exceed 10 MB**. version: '1.0.0' x-additionalinfo: |+ From 120e3b05e67488ec8c11297a6cd51f6f6c6bfba7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:53:05 +0530 Subject: [PATCH 5162/5916] Update video-to-audio_converter_v0.1.yaml --- utility/video-to-audio_converter_v0.1.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/utility/video-to-audio_converter_v0.1.yaml b/utility/video-to-audio_converter_v0.1.yaml index be8d5e684..886d88ce9 100644 --- a/utility/video-to-audio_converter_v0.1.yaml +++ b/utility/video-to-audio_converter_v0.1.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: Video-To-Audio Converter description: |+ - This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format. - + This Utility microservice extracts the audio from a video file and outputs as an audio file with the wav format.
The size of your video file **should not exceed 10 MB**. version: '0.1.0' x-additionalinfo: |+ From edf49c238361c61575e385b4566b99b1f68c1845 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:53:28 +0530 Subject: [PATCH 5163/5916] Update hdb_land_ownership.yaml --- data/hdb_land_ownership.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml index 2e98de1ac..481f086e2 100644 --- a/data/hdb_land_ownership.yaml +++ b/data/hdb_land_ownership.yaml @@ -3,9 +3,9 @@ info: title: HDB Land Ownership (SG) x-subscribelink: hdb_land_ownership description: |+ - This Data Microservice captures boundaries of HDB land. Accuracy of updates are as per accuracy of plans received from authorities (done by surveyors) demarcating boundaries of the land owned by HDB. + This Data Microservice captures boundaries of HDB land. Accuracy of updates are as per accuracy of plans received from authorities (done by surveyors) demarcating boundaries of the land owned by HDB.
- A successful call will return the results of the query in JSON format. + A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. @@ -21,7 +21,7 @@ info: * **geo_distance** - Returns the geo search based on the distance and location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.3566423191218442,103.73433360923423"}} * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. + relation should be anyone based on requirement.
> INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. > WITHIN - Return all documents whose geo_shape field is within the query geometry. From 3cba3723439c9495ff819555bf0e76999620d97a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:54:43 +0530 Subject: [PATCH 5164/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index a53ed888d..b59ca2022 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -3,13 +3,13 @@ info: title: HDB Social Communal Facilities (SG) x-subscribelink: hdb_social_communal description: |+ - The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units. + The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units.
- The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards. + The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards.
- The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use. + The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.
- A successful call will return the results of the query in JSON format. + A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. @@ -25,7 +25,7 @@ info: * **geo_distance** - Returns the geo search based on the distance and location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.3403652573087654, 103.87206960611273"}} * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. + relation should be anyone based on requirement.
> INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. > WITHIN - Return all documents whose geo_shape field is within the query geometry. From 604cb689cc362e03affb3c776962f351c793957d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:56:20 +0530 Subject: [PATCH 5165/5916] Update hdb_building_outlines.yaml --- data/hdb_building_outlines.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_building_outlines.yaml b/data/hdb_building_outlines.yaml index fdbc0d93a..ba82b80cc 100644 --- a/data/hdb_building_outlines.yaml +++ b/data/hdb_building_outlines.yaml @@ -3,9 +3,9 @@ info: title: HDB Building Outlines (SG) x-subscribelink: hdb_building_outlines description: |+ - The Data Microservice is used to maintain the HDB Buildings information. + The Data Microservice is used to maintain the HDB Buildings information.
- A successful call will return the results of the query in JSON format. + A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. @@ -21,7 +21,7 @@ info: * **geo_distance** - Returns the geo search based on the distance and location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.3988989594249674, 103.92241145388847"}} * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. + relation should be anyone based on requirement.
> INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. > WITHIN - Return all documents whose geo_shape field is within the query geometry. From 166cb97c1f6b225838d564e9e0375448e6b97e5e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:57:33 +0530 Subject: [PATCH 5166/5916] Update web_scraper.yaml --- utility/web_scraper.yaml | 41 ++++++++++++++++++++-------------------- 1 file changed, 21 insertions(+), 20 deletions(-) diff --git a/utility/web_scraper.yaml b/utility/web_scraper.yaml index 4fb49b93a..1e1445bf6 100644 --- a/utility/web_scraper.yaml +++ b/utility/web_scraper.yaml @@ -3,34 +3,35 @@ info: title: Web Scraper x-subscribelink: web_scraper description: |+ - This Utility microservice extracts content or specific HTML elements from the input URL. It can extract HTML elements that matches the criteria given in the query_list HTTP request parameter. - For example, to look for all h1 elements in the webpage, one would pass the following query_list parameter: “query_list:[{‘title’:,’find_type’:’findall’,‘tag’:’h1’ }]” + This Utility microservice extracts content or specific HTML elements from the input URL.
+ It can extract HTML elements that matches the criteria given in the query_list HTTP request parameter.
+ For example, to look for all h1 elements in the webpage, one would pass the following query_list parameter:
+ “query_list:[{‘title’:,’find_type’:’findall’,‘tag’:’h1’ }]”
The results are returned in JSON format to rapidly retrieve website elements like tables, images, etc. from multiple URLs. x-additionalinfo: |+ x-additionalinfo: |+ Suggested Use Cases: - - Can be used for contact scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration. - - Examples: + - Can be used for contact scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration.
+ Examples:
To get article content, as text - {"url":<URL>} + {"url":<URL>}
Returns all element text matches the tag name: - {"url":<URL>, query_list:[{"title":,"find_Type":"find_all","tag":"h1"}]}

Few query_list Examples: + {"url":<URL>, query_list:[{"title":,"find_Type":"find_all","tag":"h1"}]}

Few query_list Examples:
Returns all Html matches the tag name: - query_list:[{"title":,"find_type":"find_all","tag":"h1", "return_type":"html"}] + query_list:[{"title":,"find_type":"find_all","tag":"h1", "return_type":"html"}]
Returns all Image Links: - query_list:[{"title":,"find_type":"find_all","tag":"img", "attribute":"src"}] + query_list:[{"title":,"find_type":"find_all","tag":"img", "attribute":"src"}]
Returns all Links(URL's): - query_list:[{"title":,"find_type":"find_all","tag":"a", "attribute":"href"}] + query_list:[{"title":,"find_type":"find_all","tag":"a", "attribute":"href"}]
Returns all links/text/html/images matches the class name: - query_list:[{"find_type":"find_all", "class":,"tag":"a", "attribute":"href"}],{"find_type":"find_all", "class":, "tag":"a"},{"find_type":"find_all", "class":, "tag":"a", "return_type":"html"},{"find_type":"find_all", "class":, "tag":"img", "attribute":"src"}] + query_list:[{"find_type":"find_all", "class":,"tag":"a", "attribute":"href"}],{"find_type":"find_all", "class":, "tag":"a"},{"find_type":"find_all", "class":, "tag":"a", "return_type":"html"},{"find_type":"find_all", "class":, "tag":"img", "attribute":"src"}]
Using select in find_type, either class/tag/id/nested_class_id is mandatory: query_list:[{"find_type":"select", "class_":, "tag":}] @@ -41,21 +42,21 @@ info: query_list:[{"find_type":"select", "tag":}] query_list:[{"find_type":"select", "nested_class_id":}] query_list:[{"find_type":"select", "nested_class_id":, "return_type":"html"}] - query_list:[{"find_type":"select", "nested_class_id":, "attribute":"href"}] - Example using nested_class_id:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "query_list":[{"find_type":"select", "nestedClassId":"p.strikeout"}] + query_list:[{"find_type":"select", "nested_class_id":, "attribute":"href"}]
+ Example using nested_class_id:
<div>
   <h1>This is heading</h1>>
   <p class="strikeout">This is paragraph 1</h1>>
   <p class="strikeout">This is paragraph 2</h1>>
   <p class="strikeout">This is paragraph 3</h1>>
</div>
<div id="div2" class="divclass2">
   <h1>This is another heading 2</h1>>
   <p class="strikeout">This is paragraph 4</p>
   <p class="strikeout">This is paragraph 5</p>
   <p class="strikeout">This is paragraph 6</p>
   <ul>
      <li><a href="      <li class="class3"><a href="      <li><a href="   </ul>
</div>

To get tags that match one or more class names
   "query_list":[{"find_type":"select", "nestedClassId":"p.strikeout"}]
To get h1 tags that match one or more class names -    "query_list":[{"find_type":"select", "nested_class_id":"h1"}] +    "query_list":[{"find_type":"select", "nested_class_id":"h1"}]
To get all p tags that matches element id -    "query_list":[{"find_type":"select", "nested_class_id":"div#div2 p"}] +    "query_list":[{"find_type":"select", "nested_class_id":"div#div2 p"}]
To get all litags that matches the element id
   "query_list":[{"find_type":"select", "nested_class_id":"div#div2 ul li"}]
To get links from ul list -    "query_list":[{"find_type":"select", "nested_class_id":"ul li a"}] - To get links from ul list that matches one or more class names
   "query_list":[{"find_type":"select", "nested_class_id":"ul li.class3 a"}] - To get links a element that matches the element id and class name
   "query_list":[{"find_type":"select", "nested_class_id":"div#div2 ul li.class3 a"}] +    "query_list":[{"find_type":"select", "nested_class_id":"ul li a"}]
+ To get links from ul list that matches one or more class names
   "query_list":[{"find_type":"select", "nested_class_id":"ul li.class3 a"}]
+ To get links a element that matches the element id and class name
   "query_list":[{"find_type":"select", "nested_class_id":"div#div2 ul li.class3 a"}]
Notes: - title - is an optional parameter, if title is empty the return json key is "values"
find_type - find/find_all/select + title - is an optional parameter, if title is empty the return json key is "values"

find_type - find/find_all/select    • find - returns first matching possibility
   • find_all - returns all matching possibilities -    • select - If you want to search for tags that match two or more CSS classes. either nested_class_id is mandatory +    • select - If you want to search for tags that match two or more CSS classes. either nested_class_id is mandatory
**return_type is not supported with attribute. The results are returned in JSON format and allow for developers to rapidly retrieve website elements like tables, images, etc. from URL From 9f7edc4bb47587418b4399cafd22ed2b92c22baf Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:57:48 +0530 Subject: [PATCH 5167/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index 00ae0ae11..7c2473bc3 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -14,7 +14,7 @@ info: Information on update programmes are announcement date, completion date, name of upgrading programme, latest status, precinct name/code, block, street, postal code, latitude and longitude coordinates. The information is updated quaterly. A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to - benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
+ benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). From f10eed8921c5e29bba5067f04fe9ec33f86685b8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 16:58:24 +0530 Subject: [PATCH 5168/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index 75f4555d6..3ae6f7990 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -3,11 +3,11 @@ info: title: HDB Covered Linkway (SG) x-subscribelink: hdb_covered_linkway description: |+ - This Data Microservice captures the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The “Center Line” was created manually from the “HDB COVERED LINKWAY” surface (polygon) dataset and is therefore only an estimate of the center path of the real object.
+ This Data Microservice captures the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The “Center Line” was created manually from the “HDB COVERED LINKWAY” surface (polygon) dataset and is therefore only an estimate of the center path of the real object.

- A successful call will return the results of the query in JSON format.
+ A successful call will return the results of the query in JSON format.

- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme.
x-additionalinfo : |+ **Match Types:** From cc6e127f1bf062b6d97fcb0a49206b86df4d6cc1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:01:23 +0530 Subject: [PATCH 5169/5916] Update hdb_upgrade_programme.yaml --- data/hdb_upgrade_programme.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrade_programme.yaml index 7c2473bc3..8bc11dc13 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrade_programme.yaml @@ -13,8 +13,7 @@ info: Information on update programmes are announcement date, completion date, name of upgrading programme, latest status, precinct name/code, block, street, postal code, latitude and longitude coordinates. The information is updated quaterly. A successful call will return the results of the query in JSON format.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to - benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). From ee526bea4205570f7339d5d53194a5f4b6aa20ab Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:02:20 +0530 Subject: [PATCH 5170/5916] Update document_conversion_eng.yaml --- utility/document_conversion_eng.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/utility/document_conversion_eng.yaml b/utility/document_conversion_eng.yaml index 79f2ca72c..cd1cd0dc0 100644 --- a/utility/document_conversion_eng.yaml +++ b/utility/document_conversion_eng.yaml @@ -2,13 +2,11 @@ openapi: 3.0.1 info: title: Document Convertor ENG description: |+ - This Utility microservice extracts the English text content of either an input of Microsoft Word, HTML or PDF document and outputs into a plain text format. - + This Utility microservice extracts the English text content of either an input of Microsoft Word, HTML or PDF document and outputs into a plain text format.
The size of your document file **should not exceed 7 MB**. x-additionalinfo: |+ Suggested Use Cases: - - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the document can be used with a Voice microservice such as Text-to-Speech. - + - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the document can be used with a Voice microservice such as Text-to-Speech.
- Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. version: '2.0.0' x-subscribelink: document_convertor_eng From 3662321bd675403a965b307834140f477045366d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:02:40 +0530 Subject: [PATCH 5171/5916] Update document_conversion_eng_v1.0.yaml --- utility/document_conversion_eng_v1.0.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/utility/document_conversion_eng_v1.0.yaml b/utility/document_conversion_eng_v1.0.yaml index 063b246c2..1a7b02fa6 100644 --- a/utility/document_conversion_eng_v1.0.yaml +++ b/utility/document_conversion_eng_v1.0.yaml @@ -2,13 +2,11 @@ openapi: 3.0.1 info: title: Document Convertor ENG description: |+ - This Utility microservice extracts the English text content of either an input of Microsoft Word, HTML or PDF document and outputs into a plain text format. - + This Utility microservice extracts the English text content of either an input of Microsoft Word, HTML or PDF document and outputs into a plain text format.
The size of your document file **should not exceed 7 MB**. x-additionalinfo: |+ Suggested Use Cases: - - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the document can be used with a Voice microservice such as Text-to-Speech. - + - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the document can be used with a Voice microservice such as Text-to-Speech.
- Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. version: '1.0.0' x-subscribelink: document_convertor_eng From 62e7bcf9b7135d6fe45799b9fd81d04c4a10fa52 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:03:08 +0530 Subject: [PATCH 5172/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index d3c310d9c..093817cc1 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -2,19 +2,14 @@ openapi: 3.0.1 info: title: PDF Extractor description: |+ - This Utility microservice extracts the text content of the input PDF document with the option to extract specific pages. - - It also extracts from password-protected PDFs, if the correct password is provided. - - Output format supported: plain text or HTML. - - Supported languages: Hindi, German, Spanish, Portuguese, French, Turkish, Italian, Russian, Arabic, Indonesian, Chinese, Japanese and Korean. - + This Utility microservice extracts the text content of the input PDF document with the option to extract specific pages.
+ It also extracts from password-protected PDFs, if the correct password is provided.
+ Output format supported: plain text or HTML.
+ Supported languages: Hindi, German, Spanish, Portuguese, French, Turkish, Italian, Russian, Arabic, Indonesian, Chinese, Japanese and Korean.
The size of your PDF file should **not exceed 7 MB**. x-additionalinfo: |+ Suggested Use Cases: - - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the PDF document can be used with a Voice microservice such as Text-to-Speech. - + - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the PDF document can be used with a Voice microservice such as Text-to-Speech.
- Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. version: '1.0.0' x-subscribelink: pdf_extractor From 5b0b14a052e24bd454f7afa74eae38f950f263d4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:03:54 +0530 Subject: [PATCH 5173/5916] Update hdb_town_estates.yaml --- data/hdb_town_estates.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_town_estates.yaml b/data/hdb_town_estates.yaml index cceb7cd2b..5c42630a8 100644 --- a/data/hdb_town_estates.yaml +++ b/data/hdb_town_estates.yaml @@ -3,9 +3,9 @@ info: title: HDB Town and Estate Boundaries (SG) x-subscribelink: hdb_town_estate description: |+ - The HDB towns/estates boundary is defined to facilitate planning and development of HDB towns/estates. It defines the areas that HDB will carry out the landuse planning to facilitate development of the HDB towns/estates. The boundary is used for planning purposes (eg planning of HDB’s Building Plan and planning for provision of facilities within HDB towns by relevant agencies) and for reporting of HDB statistics (eg. HDB flats under management by towns as in HDB’s annual report). The boundary is digitised mainly following the URA’s DGP/Planning boundary or road/drain as physical boundary. The boundary will be updated as and when new areas are earmarked by URA for public housing development.
+ The HDB towns/estates boundary is defined to facilitate planning and development of HDB towns/estates. It defines the areas that HDB will carry out the landuse planning to facilitate development of the HDB towns/estates. The boundary is used for planning purposes (eg planning of HDB’s Building Plan and planning for provision of facilities within HDB towns by relevant agencies) and for reporting of HDB statistics (eg. HDB flats under management by towns as in HDB’s annual report). The boundary is digitised mainly following the URA’s DGP/Planning boundary or road/drain as physical boundary. The boundary will be updated as and when new areas are earmarked by URA for public housing development.

- A successful call will return the results of the query in JSON format.
+ A successful call will return the results of the query in JSON format.

The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From eced70b9c55f4204ae91f4d6053dd1bb72038a14 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:04:11 +0530 Subject: [PATCH 5174/5916] Update hdb_land_ownership.yaml --- data/hdb_land_ownership.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml index 481f086e2..e73c587a8 100644 --- a/data/hdb_land_ownership.yaml +++ b/data/hdb_land_ownership.yaml @@ -3,9 +3,9 @@ info: title: HDB Land Ownership (SG) x-subscribelink: hdb_land_ownership description: |+ - This Data Microservice captures boundaries of HDB land. Accuracy of updates are as per accuracy of plans received from authorities (done by surveyors) demarcating boundaries of the land owned by HDB.
+ This Data Microservice captures boundaries of HDB land. Accuracy of updates are as per accuracy of plans received from authorities (done by surveyors) demarcating boundaries of the land owned by HDB.

- A successful call will return the results of the query in JSON format.
+ A successful call will return the results of the query in JSON format.

The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From 7f784e19ba64cb14f306d4f24a988d43092ee046 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:04:46 +0530 Subject: [PATCH 5175/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index b59ca2022..2a0a7f166 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -3,13 +3,13 @@ info: title: HDB Social Communal Facilities (SG) x-subscribelink: hdb_social_communal description: |+ - The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units.
+ The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units.

- The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards.
+ The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards.

- The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.
+ The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.

- A successful call will return the results of the query in JSON format.
+ A successful call will return the results of the query in JSON format.

The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From 458b071f1dae0493e6dbc7cb7c3c7745a71cf6de Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:05:02 +0530 Subject: [PATCH 5176/5916] Update hdb_building_outlines.yaml --- data/hdb_building_outlines.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_building_outlines.yaml b/data/hdb_building_outlines.yaml index ba82b80cc..c4e7d596d 100644 --- a/data/hdb_building_outlines.yaml +++ b/data/hdb_building_outlines.yaml @@ -3,9 +3,9 @@ info: title: HDB Building Outlines (SG) x-subscribelink: hdb_building_outlines description: |+ - The Data Microservice is used to maintain the HDB Buildings information.
+ The Data Microservice is used to maintain the HDB Buildings information.

- A successful call will return the results of the query in JSON format.
+ A successful call will return the results of the query in JSON format.

The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From b9c7db57aaa6db742e0a7b4862cf084d6cb31b8f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:05:26 +0530 Subject: [PATCH 5177/5916] Update pdf_extractor_v1.yaml --- utility/pdf_extractor_v1.yaml | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) diff --git a/utility/pdf_extractor_v1.yaml b/utility/pdf_extractor_v1.yaml index 7abf388e7..c9199b46b 100644 --- a/utility/pdf_extractor_v1.yaml +++ b/utility/pdf_extractor_v1.yaml @@ -2,19 +2,14 @@ openapi: 3.0.1 info: title: PDF Extractor description: |+ - This Utility microservice extracts the text content of the input PDF document with the option to extract specific pages. - - It also extracts from password-protected PDFs, if the correct password is provided. - - Output format supported: plain text or HTML. - - Supported languages: Hindi, German, Spanish, Portuguese, French, Turkish, Italian, Russian, Arabic, Indonesian, Chinese, Japanese and Korean. - + This Utility microservice extracts the text content of the input PDF document with the option to extract specific pages.
+ It also extracts from password-protected PDFs, if the correct password is provided.
+ Output format supported: plain text or HTML.
+ Supported languages: Hindi, German, Spanish, Portuguese, French, Turkish, Italian, Russian, Arabic, Indonesian, Chinese, Japanese and Korean.
The size of your PDF file should **not exceed 7 MB**. x-additionalinfo: |+ Suggested Use Cases: - - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the PDF document can be used with a Voice microservice such as Text-to-Speech. - + - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the PDF document can be used with a Voice microservice such as Text-to-Speech.
- Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. version: '1.0.0' x-subscribelink: pdf_extractor From d16a1d754fff4579b6af41057a74f61458e2f415 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:05:53 +0530 Subject: [PATCH 5178/5916] Update encryption_using_pki_key.yaml --- utility/encryption_using_pki_key.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/utility/encryption_using_pki_key.yaml b/utility/encryption_using_pki_key.yaml index fbfa195cd..b3f402b2d 100644 --- a/utility/encryption_using_pki_key.yaml +++ b/utility/encryption_using_pki_key.yaml @@ -2,10 +2,8 @@ openapi: 3.0.1 info: title: Encryption using PKI Key description: |+ - This Utility microservice encrypts the input text using the input key string. - - This can be used with the PKI Key Generator microservice. - + This Utility microservice encrypts the input text using the input key string.
+ This can be used with the PKI Key Generator microservice.
Do ensure that your text is **within 512 characters**. x-additionalinfo: |+ Suggested Use Cases: From 2426750dbdf1b196b17b234675c4069bfce93cd7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:06:08 +0530 Subject: [PATCH 5179/5916] Update encryption_using_pki_key_v0.1.yaml --- utility/encryption_using_pki_key_v0.1.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/utility/encryption_using_pki_key_v0.1.yaml b/utility/encryption_using_pki_key_v0.1.yaml index 4a7ac01b9..6bf14e81e 100644 --- a/utility/encryption_using_pki_key_v0.1.yaml +++ b/utility/encryption_using_pki_key_v0.1.yaml @@ -2,10 +2,8 @@ openapi: 3.0.1 info: title: Encryption using PKI Key description: |+ - This Utility microservice encrypts the input text using the input key string. - - This can be used with the PKI Key Generator microservice. - + This Utility microservice encrypts the input text using the input key string.
+ This can be used with the PKI Key Generator microservice.
Do ensure that your text is **within 512 characters**. x-additionalinfo: |+ Suggested Use Cases: From 33abaa7e4e735f916dd7d15a6d7925728ee6e22d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:06:21 +0530 Subject: [PATCH 5180/5916] Update decryption_for_pki_key.yaml --- utility/decryption_for_pki_key.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/utility/decryption_for_pki_key.yaml b/utility/decryption_for_pki_key.yaml index c57e60353..f43ba2aec 100644 --- a/utility/decryption_for_pki_key.yaml +++ b/utility/decryption_for_pki_key.yaml @@ -2,10 +2,8 @@ openapi: 3.0.1 info: title: Decryption using PKI Key description: |+ - This Utility microservice decrypts the input text using the input key string. - - This can be used with the PKI Key Generator microservice. - + This Utility microservice decrypts the input text using the input key string.
+ This can be used with the PKI Key Generator microservice.
Do ensure that your text is **within 512 characters**. x-additionalinfo: |+ Suggested Use Cases: From cbdfb47e3bf227526b9b1c936c05aecd54ebeaa5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:06:34 +0530 Subject: [PATCH 5181/5916] Update decryption_for_pki_key_v0.1.yaml --- utility/decryption_for_pki_key_v0.1.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/utility/decryption_for_pki_key_v0.1.yaml b/utility/decryption_for_pki_key_v0.1.yaml index ecd3f3975..787de460e 100644 --- a/utility/decryption_for_pki_key_v0.1.yaml +++ b/utility/decryption_for_pki_key_v0.1.yaml @@ -2,10 +2,8 @@ openapi: 3.0.1 info: title: Decryption using PKI Key description: |+ - This Utility microservice decrypts the input text using the input key string. - - This can be used with the PKI Key Generator microservice. - + This Utility microservice decrypts the input text using the input key string.
+ This can be used with the PKI Key Generator microservice.
Do ensure that your text is **within 512 characters**. x-additionalinfo: |+ Suggested Use Cases: From b5360ee5df3688eb7a6aa4af2426c9284e2fd421 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:06:43 +0530 Subject: [PATCH 5182/5916] Update wikipedia_retrieval.yaml --- utility/wikipedia_retrieval.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/utility/wikipedia_retrieval.yaml b/utility/wikipedia_retrieval.yaml index 3dbac5c19..3031da702 100644 --- a/utility/wikipedia_retrieval.yaml +++ b/utility/wikipedia_retrieval.yaml @@ -5,8 +5,7 @@ info: This Utility microservice provides the user with a Wikipedia article based on the input keyword. Refer to this link for the full list of Wikipedias - https://meta.wikimedia.org/wiki/List_of_Wikipedias x-additionalinfo: |+ Suggested Use Cases: - - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more. - + - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more.
- Extract the most relevant content from Wikipedia’s categories to provide a text analysis service to ascertain what any text is in reference to. version: '2.0.1' x-subscribelink: wikipedia_retrieval From a1ea030247083fa846e1abfce89c938186f454ab Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:06:52 +0530 Subject: [PATCH 5183/5916] Update wikipedia_v1.yaml --- utility/wikipedia_v1.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/utility/wikipedia_v1.yaml b/utility/wikipedia_v1.yaml index 84300d453..6a5b67aa5 100644 --- a/utility/wikipedia_v1.yaml +++ b/utility/wikipedia_v1.yaml @@ -5,8 +5,7 @@ info: This Utility microservice provides the user with a Wikipedia article based on the input keyword. Refer to this link for the full list of Wikipedias - https://meta.wikimedia.org/wiki/List_of_Wikipedias x-additionalinfo: |+ Suggested Use Cases: - - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more. - + - Access topics within Wikipedia with great specificity. Can be used for research/study-related solutions by using information from this microservice to compare articles, revisions and more.
- Extract the most relevant content from Wikipedia’s categories to provide a text analysis service to ascertain what any text is in reference to. version: '1.0.0' x-subscribelink: wikipedia_retrieval From 4f848f52fdfbb1ac15a2123c3941c31952d74147 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:07:27 +0530 Subject: [PATCH 5184/5916] Update json-csv_convertor.yaml --- utility/json-csv_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/json-csv_convertor.yaml b/utility/json-csv_convertor.yaml index f89d02124..d1810690d 100644 --- a/utility/json-csv_convertor.yaml +++ b/utility/json-csv_convertor.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: JSON-CSV Convertor description: |+ - This Utility microservice converts the input JSON file to CSV file. It will convert nested json upto key and value should be in dictionary format. + This Utility microservice converts the input JSON file to CSV file. It will convert nested json upto key and value should be in dictionary format.
The size of your file should **not exceed 3.5 MB**. x-additionalinfo: |+ Suggested Use Cases: From 919512c688e72290b77eb7fdc388650f6d3b0478 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:07:33 +0530 Subject: [PATCH 5185/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index 2a0a7f166..db6ec1592 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -3,13 +3,13 @@ info: title: HDB Social Communal Facilities (SG) x-subscribelink: hdb_social_communal description: |+ - The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units.

+ The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units.


- The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards.

+ The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards.


- The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.

+ The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.


- A successful call will return the results of the query in JSON format.

+ A successful call will return the results of the query in JSON format.


The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From 6408de3514254e4c5d04df6de01a81af7a5d1dde Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:07:39 +0530 Subject: [PATCH 5186/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 80dd87048..09711c8b0 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: CSV-JSON Convertor description: |+ - This Utility microservice converts the input CSV file to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - + This Utility microservice converts the input CSV file to JSON format. The headers should be the keywords and columns should be the value of proper keywords.
The size of your file **should not exceed 3.5 MB**. x-additionalinfo: |+ Suggested Use Cases: From b900c0e898a405e9909cf253208a134e0167746e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:07:51 +0530 Subject: [PATCH 5187/5916] Update csv-json_convertor_1.yaml --- utility/csv-json_convertor_1.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/utility/csv-json_convertor_1.yaml b/utility/csv-json_convertor_1.yaml index 60d3e78e5..24c852ec0 100644 --- a/utility/csv-json_convertor_1.yaml +++ b/utility/csv-json_convertor_1.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: CSV-JSON Convertor description: |+ - This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords. - + This Utility microservice converts the input CSV to JSON format. The headers should be the keywords and columns should be the value of proper keywords.
The size of your file should **not exceed 3.5 MB**. x-additionalinfo: |+ Suggested Use Cases: From 13bbcb5d23f1da6badd418fcbf3bde3b581dfdf9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:08:00 +0530 Subject: [PATCH 5188/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index 90847ad5f..a957b8ea3 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Audio Format Convertor description: >- - This Utility microservice converts the audio format to the WAV format. - The encoding scheme, bitrate, sample rate of the output WAV are to be specified. + This Utility microservice converts the audio format to the WAV format.
+ The encoding scheme, bitrate, sample rate of the output WAV are to be specified.
The size of your audio file should **not exceed 10 MB**. x-additionalinfo: |+ Suggested Use Cases: From 5f37296625977c9a419e934707b98b3dfc6d7718 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:08:13 +0530 Subject: [PATCH 5189/5916] Update audio_processing_utility_v0.1.yaml --- utility/audio_processing_utility_v0.1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/audio_processing_utility_v0.1.yaml b/utility/audio_processing_utility_v0.1.yaml index d40821cbf..24b4b7f43 100644 --- a/utility/audio_processing_utility_v0.1.yaml +++ b/utility/audio_processing_utility_v0.1.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Audio Format Convertor description: >- - This Utility microservice converts the audio format to the WAV format. - The encoding scheme, bitrate, sample rate of the output WAV are to be specified. + This Utility microservice converts the audio format to the WAV format.
+ The encoding scheme, bitrate, sample rate of the output WAV are to be specified.
The size of your audio file should **not exceed 10 MB**. x-additionalinfo: |+ Suggested Use Cases: From fb8f62cdb16a33da026807d43c54857742bccc5e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:08:33 +0530 Subject: [PATCH 5190/5916] Update video-to-image_convertor.yaml --- utility/video-to-image_convertor.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/utility/video-to-image_convertor.yaml b/utility/video-to-image_convertor.yaml index f4d3be46c..55abcac86 100644 --- a/utility/video-to-image_convertor.yaml +++ b/utility/video-to-image_convertor.yaml @@ -2,9 +2,8 @@ openapi: 3.0.1 info: title: Video-to-Image Convertor description: |+ - This Utility microservice captures the images from the input video file at the frame rate of 1 frame per second. - - Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. + This Utility microservice captures the images from the input video file at the frame rate of 1 frame per second.
+ Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded.
The size of your video file **should not exceed 10 MB**. x-additionalinfo: |+ Suggested Use Cases: From a1af9de1fe79467f7aa61e4f469fda48156039cb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:08:44 +0530 Subject: [PATCH 5191/5916] Update video-to-image_convertor_v0.1.yaml --- utility/video-to-image_convertor_v0.1.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/utility/video-to-image_convertor_v0.1.yaml b/utility/video-to-image_convertor_v0.1.yaml index f9f0c2e9e..6fda97832 100644 --- a/utility/video-to-image_convertor_v0.1.yaml +++ b/utility/video-to-image_convertor_v0.1.yaml @@ -2,9 +2,8 @@ openapi: 3.0.1 info: title: Video-to-Image Convertor description: |+ - This Utility microservice captures the images from the input video file at the frame rate of 1 frame per second. - - Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded. + This Utility microservice captures the images from the input video file at the frame rate of 1 frame per second.
+ Supported formats are : 3g2, avi, flv, mkv, mov, mp4, ogv, webm, wmv, m4v with H.264 codec encoded.
The size of your video file should **not exceed 10 MB**. x-additionalinfo: |+ Suggested Use Cases: From cf721668e78492ae06a11fc1a73821f33861467d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:09:08 +0530 Subject: [PATCH 5192/5916] Update newspaper_article_scraper.yaml --- utility/newspaper_article_scraper.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/utility/newspaper_article_scraper.yaml b/utility/newspaper_article_scraper.yaml index 6694e348d..bf53485de 100644 --- a/utility/newspaper_article_scraper.yaml +++ b/utility/newspaper_article_scraper.yaml @@ -2,10 +2,8 @@ openapi: 3.0.1 info: title: Newspaper Article Scraper description: |+ - This Utility microservice extracts and curates articles and delivers Instapaper-style article extraction. - - Current supported languages: Arabic, Russian, Dutch, German, English, Spanish, French, Hebrew, Italian, Korean, Norwegian, Persian, Polish, Portuguese, Swedish, Hungarian, Finnish, Danish, Chinese, Indonesian, Vietnamese, Swahili, Turkish, Greek, Ukrainian. Supports automatic language detection. - + This Utility microservice extracts and curates articles and delivers Instapaper-style article extraction.
+ Current supported languages: Arabic, Russian, Dutch, German, English, Spanish, French, Hebrew, Italian, Korean, Norwegian, Persian, Polish, Portuguese, Swedish, Hungarian, Finnish, Danish, Chinese, Indonesian, Vietnamese, Swahili, Turkish, Greek, Ukrainian. Supports automatic language detection.
Note that the URL has to be **spelt in full**, including "https://www." x-additionalinfo: |+ Suggested Use Cases: From e737b079c7d502e40212b5aa5f1d8c78ef3df487 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:09:25 +0530 Subject: [PATCH 5193/5916] Update newspaper_article_scraper_v0.1.yaml --- utility/newspaper_article_scraper_v0.1.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/utility/newspaper_article_scraper_v0.1.yaml b/utility/newspaper_article_scraper_v0.1.yaml index 595dda9fa..d30d6c06b 100644 --- a/utility/newspaper_article_scraper_v0.1.yaml +++ b/utility/newspaper_article_scraper_v0.1.yaml @@ -2,10 +2,8 @@ openapi: 3.0.1 info: title: Newspaper Article Scraper description: |+ - This Utility microservice extracts and curates articles and delivers Instapaper-style article extraction. - - Current supported languages: Arabic, Russian, Dutch, German, English, Spanish, French, Hebrew, Italian, Korean, Norwegian, Persian, Polish, Portuguese, Swedish, Hungarian, Finnish, Danish, Chinese, Indonesian, Vietnamese, Swahili, Turkish, Greek, Ukrainian. Supports automatic language detection. - + This Utility microservice extracts and curates articles and delivers Instapaper-style article extraction.
+ Current supported languages: Arabic, Russian, Dutch, German, English, Spanish, French, Hebrew, Italian, Korean, Norwegian, Persian, Polish, Portuguese, Swedish, Hungarian, Finnish, Danish, Chinese, Indonesian, Vietnamese, Swahili, Turkish, Greek, Ukrainian. Supports automatic language detection.
Note that the URL has to be **spelt in full**, including "https://www." x-additionalinfo: |+ Suggested Use Cases: From 3787e2dff1f267cac1cf64e27bf0d07668cb33c6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:09:36 +0530 Subject: [PATCH 5194/5916] Update urls_retrieval.yaml --- utility/urls_retrieval.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/urls_retrieval.yaml b/utility/urls_retrieval.yaml index a4fd83866..7e64a91d4 100644 --- a/utility/urls_retrieval.yaml +++ b/utility/urls_retrieval.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: URLs Retrieval description: |+ - This Utility microservice crawls and retrieves content from the input URLs, up to the specified depth. The specified depth refers to the index of the page away from the original landing page. i.e Depth = 1 is one click away from the input URL. + This Utility microservice crawls and retrieves content from the input URLs, up to the specified depth. The specified depth refers to the index of the page away from the original landing page. i.e Depth = 1 is one click away from the input URL.
The default depth is 0 and the maximum number of URLs retrieved is 500. x-additionalinfo: |+ From 9073d9b5e5b54992e3dff4143e59746c85648ba7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:09:47 +0530 Subject: [PATCH 5195/5916] Update base64_file_encode.yaml --- utility/base64_file_encode.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/base64_file_encode.yaml b/utility/base64_file_encode.yaml index e48cbfabf..ae5b02955 100644 --- a/utility/base64_file_encode.yaml +++ b/utility/base64_file_encode.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Base64 Encoder description: |+ - This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive, and font files. See documentation for the detailed list of supported file formats. - User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML). + This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive, and font files. See documentation for the detailed list of supported file formats.
+ User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML).
For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decoder microservice. x-additionalinfo: |+ Suggested Use Cases: From d566b62252e8514ed730eca85df387744fb915f0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:09:58 +0530 Subject: [PATCH 5196/5916] Update base64_file_encode_v0.1.yaml --- utility/base64_file_encode_v0.1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/base64_file_encode_v0.1.yaml b/utility/base64_file_encode_v0.1.yaml index 813eb48f1..befe3fb69 100644 --- a/utility/base64_file_encode_v0.1.yaml +++ b/utility/base64_file_encode_v0.1.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Base64 Encoder description: |+ - This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive, and font files. See documentation for the detailed list of supported file formats. - User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML). + This Utility microservice converts an uploaded file to Base64 encoded text (also known as a binary file to text converter). This microservice supports most documents, images, audio, video, archive, and font files. See documentation for the detailed list of supported file formats.
+ User can choose the output base64 text string in 5 different formats (plain text, JSON, hyperlink, datauri, XML).
For the reverse process (converting Base64 string back to binary file), check out the Base 64 File Decoder microservice. x-additionalinfo: |+ Suggested Use Cases: From 6dcc20f4805f43f83ac57edbdd5197772c27b6e3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 5 Sep 2022 17:10:19 +0530 Subject: [PATCH 5197/5916] Update get_ip.yaml --- utility/get_ip.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index 21aab69da..4ca1ea5fd 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -3,7 +3,8 @@ info: title: Get IP x-subscribelink: get_ip description: |+ - This Utility microservice locates and identifies website visitors by IP (Internet Protocol) address. Know where your customers access your website from and customize user experiences based on IP address. + This Utility microservice locates and identifies website visitors by IP (Internet Protocol) address.
+ Know where your customers access your website from and customize user experiences based on IP address. x-additionalinfo : |+ Suggested Use Cases: From 03104bdaae7a48b9557cb293969cd970bd764fcf Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Sep 2022 08:05:39 +0530 Subject: [PATCH 5198/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index c1283b081..d3fa25ed6 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -4,7 +4,7 @@ info: description: |+ This Voice microservice takes in an audio file and return the emotional feeling of voice.
This api supports upto 50 seconds audio file only. - version: '0.1.0' + version: '0.2.0' x-apitype: small file x-subscribelink: speaker_emotion_recognition x-apitypedescription: |+ @@ -22,13 +22,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Jun 27, 2022" +- name: "v0.2.0" + description: "Published Date - Sep 01, 2022" paths: /microservices/voice/speakeremotion/v0/get_emotion: post: tags: - - v0.1.0 + - v0.2.0 responses: '200': description: success response @@ -264,6 +264,14 @@ components: versions: type: object properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 01, 2022 + x-details: Initial version release + description: Input changed to wav_base64 v0.1.0: type: array items: @@ -271,7 +279,7 @@ components: - type: string example: Published Date - Jun 27, 2022 x-details: Initial version release - description: Initial Version + description: Archived securitySchemes: APIAuthorizer: type: apiKey From 96b169d4f00c8013ec57142f4df3975265559dda Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Sep 2022 08:07:01 +0530 Subject: [PATCH 5199/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index d3fa25ed6..19140b726 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Speaker Emotion Recognition description: |+ - This Voice microservice takes in an audio file and return the emotional feeling of voice.
+ This Voice microservice takes in an audio file(wav file in base64 format) and return the emotional feeling of voice.
This api supports upto 50 seconds audio file only. version: '0.2.0' x-apitype: small file From e811448a74f039d6bcbebaeedb099d20409196c9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Sep 2022 08:09:21 +0530 Subject: [PATCH 5200/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 82390d4fa..af9c15796 100644 --- a/index.yaml +++ b/index.yaml @@ -99,7 +99,7 @@ voice: speaker_emotion_recognition: title: Speaker Emotion Recognition versions: - 0.1.0: 'speaker_emotion_recognition.yaml' + 0.2.0: 'speaker_emotion_recognition.yaml' nlp: kyc: title: KYC From eb7f33c48dc98643f8b137761791e8c354b08f31 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Sep 2022 08:10:44 +0530 Subject: [PATCH 5201/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 19140b726..06ac979f5 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Speaker Emotion Recognition description: |+ - This Voice microservice takes in an audio file(wav file in base64 format) and return the emotional feeling of voice.
+ This Voice microservice takes in an audio file(base64 format) and return the emotional feeling of voice.
This api supports upto 50 seconds audio file only. version: '0.2.0' x-apitype: small file From aa3714ba293989fb5d7d0564360bdee7953ad291 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:27:00 +0530 Subject: [PATCH 5202/5916] Update demographics_classification.yaml --- computer_vision/demographics_classification.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/demographics_classification.yaml b/computer_vision/demographics_classification.yaml index c7818619a..5eb575d45 100644 --- a/computer_vision/demographics_classification.yaml +++ b/computer_vision/demographics_classification.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Demographics Classification description: |+ - This Computer Vision microservice identifies faces within an input image and predicts the demographics of each face (age, gender and race). + This Computer Vision microservice identifies faces within an input image and predicts the demographics of each face (age, gender and race).
The image is processed as an input encoded using base64. The results will then be returned back to the user as a JSON output together with bounding box coordinates for each face. Races include: Asian, Indian, White, Black, Middle Eastern and Latino Hispanic
The size of your image file should **not exceed 10 MB**, and the image dimension should be **at least 416x416 pixels**. x-additionalinfo: |+ From 640a0db2c232391265c02b1f2113d33515c6b989 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:28:51 +0530 Subject: [PATCH 5203/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 818b06793..8e5e80205 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -3,7 +3,8 @@ info: title: Receipt Scanner description: |+ This Computer Vision microservice takes in receipts and extracts meaningful and structured data, including the total amount, tax amount, date, and merchant name.
- The API will return a JSON containing all the extracted data, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document. This API is optimized for computer-generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. + The API will return a JSON containing all the extracted data, along with details of where that information was on the page, confidence values, and the coordinates containing the data field in the original document.
+ This API is optimized for computer-generated PDFs but also supports pdf scans, png, jpeg, tiff, jfif, and docx files. version: '0.2.0' x-subscribelink: receipt_scanner x-apitype: small file From 0aaf41f7ba5f3e65c89e4c46386febb3b51d02ae Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:36:54 +0530 Subject: [PATCH 5204/5916] line break --- computer_vision/thumbnail_generation.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index 549d88ebc..b422e0e6f 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Thumbnail Generation description: |+ - This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video. Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis. + This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video. Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis.
The size of your video file should not exceed 10MB version: v0.1.1 x-additionalinfo: |+ From 4b804d698cb4b8603c27d180b013298ed40140e3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:39:07 +0530 Subject: [PATCH 5205/5916] Update audio_processing_utility.yaml --- utility/audio_processing_utility.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/audio_processing_utility.yaml b/utility/audio_processing_utility.yaml index a957b8ea3..b820ebb68 100644 --- a/utility/audio_processing_utility.yaml +++ b/utility/audio_processing_utility.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Audio Format Convertor description: >- - This Utility microservice converts the audio format to the WAV format.
- The encoding scheme, bitrate, sample rate of the output WAV are to be specified.
+ This Utility microservice converts the audio format to the WAV format.

+ The encoding scheme, bitrate, sample rate of the output WAV are to be specified.

The size of your audio file should **not exceed 10 MB**. x-additionalinfo: |+ Suggested Use Cases: From 4ea51463862b260c18bb795ea2bec790f86cf7f0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:39:21 +0530 Subject: [PATCH 5206/5916] Update audio_processing_utility_v0.1.yaml --- utility/audio_processing_utility_v0.1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/audio_processing_utility_v0.1.yaml b/utility/audio_processing_utility_v0.1.yaml index 24b4b7f43..2dfe64261 100644 --- a/utility/audio_processing_utility_v0.1.yaml +++ b/utility/audio_processing_utility_v0.1.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Audio Format Convertor description: >- - This Utility microservice converts the audio format to the WAV format.
- The encoding scheme, bitrate, sample rate of the output WAV are to be specified.
+ This Utility microservice converts the audio format to the WAV format.

+ The encoding scheme, bitrate, sample rate of the output WAV are to be specified.

The size of your audio file should **not exceed 10 MB**. x-additionalinfo: |+ Suggested Use Cases: From d4e45a4db67097bfcc4609da36e4e0b968f9b39b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:41:43 +0530 Subject: [PATCH 5207/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 994c30c6a..25bebb430 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -3,9 +3,10 @@ info: title: Content Interest Profiling x-subscribelink: content_interesr_profiling description: |+ - This Analytics microservice helps profile the content and interest from the web page traffic. Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/Cookie/etc.) based on the history of documents it has accessed over time and the profile of those documents. - Upon subscription, a javascript is sent to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well as the user. If required, users can also pass in user ID to identify the user using the external_id field. - Only English language texts will be addressed. + This Analytics microservice helps profile the content and interest from the web page traffic.
+ Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/Cookie/etc.) based on the history of documents it has accessed over time and the profile of those documents.
+ Upon subscription, a javascript is sent to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well as the user. If required, users can also pass in user ID to identify the user using the external_id field.
+ Only English language texts will be addressed.
In addition to the Content Interest Profiling microservices, we are also releasing a few analytics overview microservice namely, traffic overview, page overview, and external id analytics. x-additionalinfo : |+ Filters are applicable only for Content and Interest Profiling APIs. From 22690cbd085735db6c997e2ec2d5c7d10a27a400 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:42:08 +0530 Subject: [PATCH 5208/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 40f1449a4..e980541ab 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Fleet Routing Engine description: |+ - Fleet Routing Engine is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle. - There are limitations on the payload that can be posted to the API, which are: + Fleet Routing Engine is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle.
+ There are limitations on the payload that can be posted to the API, which are:
1. The number of maximum jobs is 60. 2. The number of unique end customer is 50. 3. The number of vehicles in the fleet is 15. From c2bb5e11481d4da4eb870886947522db5b8c52ad Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:42:28 +0530 Subject: [PATCH 5209/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 69bd8366f..e2cd0c6d4 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Rule Engine description: |+ - This Analytics microservice is part of a business rule management system which executes a set of rules or condition in a runtime production environment. Such rules are used to process data and if any condition matches then it executes the corresponding actions. + This Analytics microservice is part of a business rule management system which executes a set of rules or condition in a runtime production environment. Such rules are used to process data and if any condition matches then it executes the corresponding actions.
This microservice only provides the inference (processing objects based on predefined rules), while the creation of the projects and objects and definition of rules is handled by a separate user-interface. version: '0.1.0' x-subscribelink: rule_engine From 69e5b96aa32f9179ab5437ba5d54eff5fb0fa213 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:44:45 +0530 Subject: [PATCH 5210/5916] Update activate_user.yaml --- platform_functions/activate_user.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/platform_functions/activate_user.yaml b/platform_functions/activate_user.yaml index 2dd4fcf67..88a4b3b58 100644 --- a/platform_functions/activate_user.yaml +++ b/platform_functions/activate_user.yaml @@ -1,7 +1,9 @@ openapi: 3.0.1 info: title: Activate Users - description: This is an organization function and this API is used to activate a user from the deleted user list. Only active users can access specified restricted features and content set by the Admin. + description: |+ + This is an organization function and this API is used to activate a user from the deleted user list.
+ Only active users can access specified restricted features and content set by the Admin. version: v0.1.0 x-subscribelink: servers: From 27d63b410db2d60cee58b8c2b7de26e9b6ad2cc0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:45:40 +0530 Subject: [PATCH 5211/5916] Update add_user.yaml --- platform_functions/add_user.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/platform_functions/add_user.yaml b/platform_functions/add_user.yaml index b60384d73..764ce0bb7 100644 --- a/platform_functions/add_user.yaml +++ b/platform_functions/add_user.yaml @@ -1,7 +1,10 @@ openapi: 3.0.1 info: title: Add User - description: This API provides operations to manage users in your organization. Create a user without a password and recovery question/answer. When the user is activated, an email is sent to the user with an activation token that can be used to complete the activation process. This is the default flow for new user registration using the admistrator user dashboard. + description: |+ + This API provides operations to manage users in your organization. Create a user without a password and recovery question/answer.
+ When the user is activated, an email is sent to the user with an activation token that can be used to complete the activation process.
+ This is the default flow for new user registration using the admistrator user dashboard. version: v0.1.0 x-subscribelink: add_user servers: From 37a156085e31f9b1fe9810b65795e0a4515551f2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:45:56 +0530 Subject: [PATCH 5212/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index db6ec1592..a17f98d27 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -3,11 +3,11 @@ info: title: HDB Social Communal Facilities (SG) x-subscribelink: hdb_social_communal description: |+ - The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units.


+ The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units.

- The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards.


+ The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards.

- The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.


+ The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.

A successful call will return the results of the query in JSON format.


From c23c0bd7057dbd1e9ea1e338ba55456dd5501667 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:46:06 +0530 Subject: [PATCH 5213/5916] Update add_user_to_group.yaml --- platform_functions/add_user_to_group.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/platform_functions/add_user_to_group.yaml b/platform_functions/add_user_to_group.yaml index e310477f4..ef0ff57f5 100644 --- a/platform_functions/add_user_to_group.yaml +++ b/platform_functions/add_user_to_group.yaml @@ -1,7 +1,10 @@ openapi: 3.0.1 info: title: Add Group To User - description: This is an organization account function and this API provides operations to manage users in your organization. This API grants the specified user permissions to the specified group withing your organization. The user's access can be adjusted by using the admistrator user dashboard. + description: |+ + This is an organization account function and this API provides operations to manage users in your organization.
+ This API grants the specified user permissions to the specified group withing your organization.
+ The user's access can be adjusted by using the admistrator user dashboard. x-subscribelink: add_user_to_group version: '0.1.0' servers: From 7b31196e82d40fff3c306bbc72c2844d9eeac96d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:47:04 +0530 Subject: [PATCH 5214/5916] Update api_metering.yaml --- platform_functions/api_metering.yaml | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/platform_functions/api_metering.yaml b/platform_functions/api_metering.yaml index 778b47d0f..2b3a876cd 100644 --- a/platform_functions/api_metering.yaml +++ b/platform_functions/api_metering.yaml @@ -1,7 +1,13 @@ openapi: 3.0.1 info: title: API Metering - description: This API provides detail usage metrics that helps you as an organization to 1. Track and understand your usage of Sentient APIs 2. Monitor performance of your applications and Sentient APIs 3. Discover problems that may be happening between your application and Sentient APIs. By using this API you can dramatically speed up resolution time while troubleshooting problems or are in need of technical support from Sentient. The metrics provided throught this API include request counts, total latencies, error rates, request sizes, and response rates. You can view API metrics in administrator user dashboard. + description: |+ + This API provides detail usage metrics that helps you as an organization to
+ - 1. Track and understand your usage of Sentient APIs + - 2. Monitor performance of your applications and Sentient APIs + - 3. Discover problems that may be happening between your application and Sentient APIs.
+ By using this API you can dramatically speed up resolution time while troubleshooting problems or are in need of technical support from Sentient.
+ The metrics provided throught this API include request counts, total latencies, error rates, request sizes, and response rates. You can view API metrics in administrator user dashboard. version: v0.1.0 x-subscribelink: api_metering servers: From 0688ad5087b7e5c709f338ca11ae52b51fe6c0c3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:47:33 +0530 Subject: [PATCH 5215/5916] Update api_metering_error_details.yaml --- platform_functions/api_metering_error_details.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/platform_functions/api_metering_error_details.yaml b/platform_functions/api_metering_error_details.yaml index b042e1e07..8630211ea 100644 --- a/platform_functions/api_metering_error_details.yaml +++ b/platform_functions/api_metering_error_details.yaml @@ -1,7 +1,9 @@ openapi: 3.0.1 info: title: API Metering Error Details - description: This API provides detail insight into errors that may occur while performing an API call. This API shows the aspects including but limited to the number of invalid inputs, authentication failures, number of invalid requests, and API key errors for any given microservice within a specific period of time (i.e. monthly, yearly, etc.). + description: |+ + This API provides detail insight into errors that may occur while performing an API call.
+ This API shows the aspects including but limited to the number of invalid inputs, authentication failures, number of invalid requests, and API key errors for any given microservice within a specific period of time (i.e. monthly, yearly, etc.). version: v0.1.0 x-subscribelink: api_metering_error_details servers: From 3a9061a661eb52a1076f47e1d46f82dc88d42ed0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:47:55 +0530 Subject: [PATCH 5216/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index 42ef6fb9d..a7df0b8d0 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -3,8 +3,8 @@ info: title: HDB Block Coordinates (SG) x-subscribelink: building_addresses_hdb_sg description: |+ - This Data microservice retrieves information on Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. The information is updated monthly. A successful call will return the results of the query in JSON format. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + This Data microservice retrieves information on Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. The information is updated monthly. A successful call will return the results of the query in JSON format.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). @@ -14,7 +14,7 @@ info: **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.
**Filter Types:** @@ -35,7 +35,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
**Match Types:** From 91d1ac8dac4b5e0204f68346201e6f49205fbba3 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:48:20 +0530 Subject: [PATCH 5217/5916] Update delete_user_info.yaml --- platform_functions/delete_user_info.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/platform_functions/delete_user_info.yaml b/platform_functions/delete_user_info.yaml index 275808bd0..42e440485 100644 --- a/platform_functions/delete_user_info.yaml +++ b/platform_functions/delete_user_info.yaml @@ -1,7 +1,10 @@ openapi: 3.0.1 info: title: Delete User - description: This API provides operations to manage users in your organization. Delete a user and transfer ownership of entities such as alerts, scheduled policies, and workflows from deleted user to another active user or an active user workflow. The user can be deleted by using the admistrator user dashboard. + description: |+ + This API provides operations to manage users in your organization.
+ Delete a user and transfer ownership of entities such as alerts, scheduled policies, and workflows from deleted user to another active user or an active user workflow.
+ The user can be deleted by using the admistrator user dashboard. x-subscribelink: delete_user_info version: '0.1.0' servers: From 2f2de809be497d60c2958498709c07b28cd997b9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:48:55 +0530 Subject: [PATCH 5218/5916] Update microservices_list.yaml --- platform_functions/microservices_list.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/platform_functions/microservices_list.yaml b/platform_functions/microservices_list.yaml index b1d6b0acc..471cd991d 100644 --- a/platform_functions/microservices_list.yaml +++ b/platform_functions/microservices_list.yaml @@ -1,7 +1,9 @@ openapi: 3.0.1 info: title: Microservices List - description: This API provides microservices list based on class type. It can categorize the microservice listing from ascending, descending, newest, oldest and provider type based. + description: |+ + This API provides microservices list based on class type.
+ It can categorize the microservice listing from ascending, descending, newest, oldest and provider type based. version: v0.1.0 x-subscribelink: microservices_list servers: From 3790e4b12185f864f96f85cabbbd86df13dfa07a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:49:19 +0530 Subject: [PATCH 5219/5916] Update residential_sales_and_rental_hdb_sg.yaml --- data/residential_sales_and_rental_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/residential_sales_and_rental_hdb_sg.yaml b/data/residential_sales_and_rental_hdb_sg.yaml index 8f1a2bda8..a9ae63a95 100644 --- a/data/residential_sales_and_rental_hdb_sg.yaml +++ b/data/residential_sales_and_rental_hdb_sg.yaml @@ -3,8 +3,8 @@ info: title: HDB Residential Occupancy Status (SG) x-subscribelink: residential_sales_and_rental_hdb_sg description: |+ - This Data microservice retreives comprehensive details of each Housing Development Board (HDB) block in Singapore including the number of units for each type of flats and whether they were sold or leased. Queries based on keywords and proximity to particular locations can be performed. Updated weekly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + This Data microservice retreives comprehensive details of each Housing Development Board (HDB) block in Singapore including the number of units for each type of flats and whether they were sold or leased. Queries based on keywords and proximity to particular locations can be performed. Updated weekly.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). @@ -14,7 +14,7 @@ info: **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.
**Filter Types:** @@ -35,7 +35,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
**Match Types:** From 7bf7f1c3908e39cb73d94e4e150d1b770bca39cc Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:49:37 +0530 Subject: [PATCH 5220/5916] Update org_group_list.yaml --- platform_functions/org_group_list.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_group_list.yaml b/platform_functions/org_group_list.yaml index d66f7c02e..cab4a738a 100644 --- a/platform_functions/org_group_list.yaml +++ b/platform_functions/org_group_list.yaml @@ -1,7 +1,9 @@ openapi: 3.0.1 info: title: Group List - description: This API provides collection of API Metering graphs that lets you as an admin read and create group list data. By using this API, a group admin can grant access to specific group list content and allow to publish content to the group list on behalf of the admin. + description: |+ + This API provides collection of API Metering graphs that lets you as an admin read and create group list data.
+ By using this API, a group admin can grant access to specific group list content and allow to publish content to the group list on behalf of the admin. x-subscribelink: org_group_list version: '0.1.0' servers: From 37c64b453379aa1c36995ee814a1434501b7bacb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:50:06 +0530 Subject: [PATCH 5221/5916] Update org_info.yaml --- platform_functions/org_info.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_info.yaml b/platform_functions/org_info.yaml index 75e6ccf19..ad7822bf5 100644 --- a/platform_functions/org_info.yaml +++ b/platform_functions/org_info.yaml @@ -1,7 +1,9 @@ openapi: 3.0.1 info: title: View Organizational Info - description: This API provides collection of API Metering graphs that lets you as an admin read and create organization's data. By using this API, an orgonization admin can grant access to orgonizational/groups/group lists, content and allow to publish content to the orgonization/groups/group lists on behalf of the admin. + description: |+ + This API provides collection of API Metering graphs that lets you as an admin read and create organization's data.
+ By using this API, an orgonization admin can grant access to orgonizational/groups/group lists, content and allow to publish content to the orgonization/groups/group lists on behalf of the admin. x-subscribelink: org_info version: '0.1.0' servers: From 5805ac74bf5c7fc8ee83385724ed707772a499b9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:50:32 +0530 Subject: [PATCH 5222/5916] Update subscribed_microservices.yaml --- platform_functions/subscribed_microservices.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/platform_functions/subscribed_microservices.yaml b/platform_functions/subscribed_microservices.yaml index 630327cda..562a4d23b 100644 --- a/platform_functions/subscribed_microservices.yaml +++ b/platform_functions/subscribed_microservices.yaml @@ -1,7 +1,9 @@ openapi: 3.0.1 info: title: Subscribed Microservices - description: This API provides operations to manage subscribed microservices in your organization. The organizational subscribed microservices can be adjusted by using the admistrator user dashboard. + description: |+ + This API provides operations to manage subscribed microservices in your organization.
+ The organizational subscribed microservices can be adjusted by using the admistrator user dashboard. version: v0.1.0 x-subscribelink: subscribed_microservices servers: From 7498b2395fb0e356d30123a8266c1d5b2d66dfbc Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:50:55 +0530 Subject: [PATCH 5223/5916] Update update_org.yaml --- platform_functions/update_org.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/platform_functions/update_org.yaml b/platform_functions/update_org.yaml index 4dda71d35..d27fe665b 100644 --- a/platform_functions/update_org.yaml +++ b/platform_functions/update_org.yaml @@ -1,7 +1,9 @@ openapi: 3.0.1 info: title: Edit Organizational Info - description: This API allows an admin to manage organizational data and information. By using this API, an orgonization admin can edit, update, and create orgonizational/groups/group lists information. + description: |+ + This API allows an admin to manage organizational data and information.
+ By using this API, an orgonization admin can edit, update, and create orgonizational/groups/group lists information. version: v0.1.0 x-subscribelink: edit_org_info servers: From 2db00cfe12e7dd30a12fc6d0257a954378604577 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:51:13 +0530 Subject: [PATCH 5224/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index a17f98d27..2a0a7f166 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -9,7 +9,7 @@ info: The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.

- A successful call will return the results of the query in JSON format.


+ A successful call will return the results of the query in JSON format.

The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From d2dc0729435c4a1f2171265b2aa5644577addea6 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:51:15 +0530 Subject: [PATCH 5225/5916] Update update_user_info.yaml --- platform_functions/update_user_info.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/platform_functions/update_user_info.yaml b/platform_functions/update_user_info.yaml index 31d1cdd6e..2b6ccf0d9 100644 --- a/platform_functions/update_user_info.yaml +++ b/platform_functions/update_user_info.yaml @@ -1,7 +1,9 @@ openapi: 3.0.1 info: title: Edit User - description: This API provides operations to manage users in your organization. As an admin you are able to edit and update any user details by using admistrator user dashboard. + description: |+ + This API provides operations to manage users in your organization.
+ As an admin you are able to edit and update any user details by using admistrator user dashboard. version: v0.1.0 x-subscribelink: update_user_info servers: From 635f98b5b14ed3aed7274f480ec02288b8c6b96c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:52:11 +0530 Subject: [PATCH 5226/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index e980541ab..9dc21d0db 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -4,9 +4,9 @@ info: description: |+ Fleet Routing Engine is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle.
There are limitations on the payload that can be posted to the API, which are:
- 1. The number of maximum jobs is 60. - 2. The number of unique end customer is 50. - 3. The number of vehicles in the fleet is 15. + 1. The number of maximum jobs is 60. + 2. The number of unique end customer is 50. + 3. The number of vehicles in the fleet is 15. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. From 789451df4cf8bed207b223683c40fc8567fe0428 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:52:38 +0530 Subject: [PATCH 5227/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 489a7f1c8..79fc95ed4 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -3,8 +3,8 @@ info: title: HDB Carpark Locations (SG) x-subscribelink: carpark_hdb_sg description: |+ - This Data microservice retrieves the Housing Development Board (HDB) carpark information within HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + This Data microservice retrieves the Housing Development Board (HDB) carpark information within HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). x-additionalinfo : |+ @@ -14,7 +14,7 @@ info: - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.
**Filter Types:** A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: @@ -32,7 +32,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
**Match Types:** A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: From 58c664b3271e1f43184ba582090201ca5e20aa15 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:53:21 +0530 Subject: [PATCH 5228/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index a7df0b8d0..ba054f07e 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -4,7 +4,7 @@ info: x-subscribelink: building_addresses_hdb_sg description: |+ This Data microservice retrieves information on Housing Development Board (HDB) building blocks in Singapore which includes address, postal code, latitude and longitude coordinates. The information is updated monthly. A successful call will return the results of the query in JSON format.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). From 38f5595c8e6932bb263947e36fe9606a80395744 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:53:23 +0530 Subject: [PATCH 5229/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 9dc21d0db..1ebd652c0 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -3,10 +3,9 @@ info: title: Fleet Routing Engine description: |+ Fleet Routing Engine is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle.
- There are limitations on the payload that can be posted to the API, which are:
- 1. The number of maximum jobs is 60. - 2. The number of unique end customer is 50. - 3. The number of vehicles in the fleet is 15. + - The number of maximum jobs is 60. + - The number of unique end customer is 50. + - The number of vehicles in the fleet is 15. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. From be6b541732affe570393fb544e734f1b4912dd40 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:54:15 +0530 Subject: [PATCH 5230/5916] Update residential_sales_and_rental_hdb_sg.yaml --- data/residential_sales_and_rental_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/residential_sales_and_rental_hdb_sg.yaml b/data/residential_sales_and_rental_hdb_sg.yaml index a9ae63a95..dd4cd7320 100644 --- a/data/residential_sales_and_rental_hdb_sg.yaml +++ b/data/residential_sales_and_rental_hdb_sg.yaml @@ -4,7 +4,7 @@ info: x-subscribelink: residential_sales_and_rental_hdb_sg description: |+ This Data microservice retreives comprehensive details of each Housing Development Board (HDB) block in Singapore including the number of units for each type of flats and whether they were sold or leased. Queries based on keywords and proximity to particular locations can be performed. Updated weekly.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). @@ -14,7 +14,7 @@ info: **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.
+ The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.

**Filter Types:** @@ -35,7 +35,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
+ Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.

**Match Types:** From 2e859f4b35419e646c89acd400f97d4f31ffa812 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:54:48 +0530 Subject: [PATCH 5231/5916] Update building_addresses_hdb_sg.yaml --- data/building_addresses_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/building_addresses_hdb_sg.yaml b/data/building_addresses_hdb_sg.yaml index ba054f07e..c135077b2 100644 --- a/data/building_addresses_hdb_sg.yaml +++ b/data/building_addresses_hdb_sg.yaml @@ -14,7 +14,7 @@ info: **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.
+ The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.

**Filter Types:** @@ -35,7 +35,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
+ Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.

**Match Types:** From c520af90df3bc11a0aa5cdd51d693070f294c9f7 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:54:59 +0530 Subject: [PATCH 5232/5916] Update api_metering.yaml --- platform_functions/api_metering.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/platform_functions/api_metering.yaml b/platform_functions/api_metering.yaml index 2b3a876cd..69cdcaef1 100644 --- a/platform_functions/api_metering.yaml +++ b/platform_functions/api_metering.yaml @@ -3,9 +3,9 @@ info: title: API Metering description: |+ This API provides detail usage metrics that helps you as an organization to
- - 1. Track and understand your usage of Sentient APIs - - 2. Monitor performance of your applications and Sentient APIs - - 3. Discover problems that may be happening between your application and Sentient APIs.
+ - Track and understand your usage of Sentient APIs + - Monitor performance of your applications and Sentient APIs + - Discover problems that may be happening between your application and Sentient APIs.
By using this API you can dramatically speed up resolution time while troubleshooting problems or are in need of technical support from Sentient.
The metrics provided throught this API include request counts, total latencies, error rates, request sizes, and response rates. You can view API metrics in administrator user dashboard. version: v0.1.0 From 3738cc18aee38fab01e0984b3a47c8ee2f7ce1fb Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:55:20 +0530 Subject: [PATCH 5233/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 79fc95ed4..bfcc2867a 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -4,7 +4,7 @@ info: x-subscribelink: carpark_hdb_sg description: |+ This Data microservice retrieves the Housing Development Board (HDB) carpark information within HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). x-additionalinfo : |+ @@ -14,7 +14,7 @@ info: - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.
+ The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.

**Filter Types:** A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: @@ -32,7 +32,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
+ Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.

**Match Types:** A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: From 381cae888ba8c69093edcbf45f4ae842cf3b8047 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 09:59:11 +0530 Subject: [PATCH 5234/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index bfcc2867a..8a05cacbe 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -4,7 +4,7 @@ info: x-subscribelink: carpark_hdb_sg description: |+ This Data microservice retrieves the Housing Development Board (HDB) carpark information within HDB estates and includes the location address, postal code and parking lot capacity for different types of vehicle by carpark location. Updated monthly.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). x-additionalinfo : |+ @@ -32,7 +32,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.

+ Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
**Match Types:** A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: From 182e941a79dde49031c193af7e53c748a427b8e8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:00:42 +0530 Subject: [PATCH 5235/5916] Update demographics_hdb_sg.yaml --- data/demographics_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/demographics_hdb_sg.yaml b/data/demographics_hdb_sg.yaml index f95f99f26..9e7690f26 100644 --- a/data/demographics_hdb_sg.yaml +++ b/data/demographics_hdb_sg.yaml @@ -3,8 +3,8 @@ info: title: HDB Demographics (SG) x-subscribelink: demographics_hdb_sg description: |+ - This Data microservice returns information on Housing Development Board (HDB) estates which includes the location address, postal code, gender and age groups, down to block-level granularity. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + This Data microservice returns information on Housing Development Board (HDB) estates which includes the location address, postal code, gender and age groups, down to block-level granularity.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). @@ -13,7 +13,7 @@ info: - This microservice can be used as a solution to help businesses better understand and connect with their customers, engage new prospects and increase revenue. For example, it can be used to create intelligent prospect lists that ensure one is always maximizing their marketing investment. **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.

**Filter Types:** A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: @@ -33,7 +33,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
**Match Types:** A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: From d385e5ecb3dda5aa69c60d0f71333477772c0eb7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:02:00 +0530 Subject: [PATCH 5236/5916] Update flat_ownership_hdb_sg.yaml --- data/flat_ownership_hdb_sg.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/flat_ownership_hdb_sg.yaml b/data/flat_ownership_hdb_sg.yaml index d9dfcc882..a729a1ae8 100644 --- a/data/flat_ownership_hdb_sg.yaml +++ b/data/flat_ownership_hdb_sg.yaml @@ -3,7 +3,7 @@ info: title: HDB Flat Ownership Duration (SG) x-subscribelink: flat_ownership_hdb_sg description: |+ - This Data microservice returns information on flat ownership within Housing Development Board of Singapore (HDB) estates which includes the location address, postal code, length of ownership and their quantity in units. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme." + This Data microservice returns information on flat ownership within Housing Development Board of Singapore (HDB) estates which includes the location address, postal code, length of ownership and their quantity in units. The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme."

**Note:** As this microservice uses the GET method, developers using this microservice must rememberinformation on flat ownership within Housing Development Board of Singapor to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). @@ -12,7 +12,7 @@ info: - Real estate services - for example, this microservice can be used for services that are related to HDB ownership transfer (i.e. when one transfer, include, withdraw and/or substitute owners for a flat), such as when drafting up related legal documents. **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.

**Filter Types:** A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: @@ -32,7 +32,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
**Match Types:** A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: From 0b57308e2a3aeab7ae0d53a9a96eaa3b430d567c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:05:51 +0530 Subject: [PATCH 5237/5916] Update season_parking_availability_hdb_sg.yaml --- data/season_parking_availability_hdb_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/season_parking_availability_hdb_sg.yaml b/data/season_parking_availability_hdb_sg.yaml index 73d7ecd8e..ca73b8242 100644 --- a/data/season_parking_availability_hdb_sg.yaml +++ b/data/season_parking_availability_hdb_sg.yaml @@ -3,8 +3,8 @@ info: title: HDB Season Parking Availability (SG) x-subscribelink: season_parking_availability_hdb_sg description: |+ - This Data microservice returns information on season car park availability within Housing Development Board of Singapore (HDB) estates which includes the location address, postal code, branch office, vehicle type and parking lot availability for different types of vehicle by carpark location. - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. + This Data microservice returns information on season car park availability within Housing Development Board of Singapore (HDB) estates which includes the location address, postal code, branch office, vehicle type and parking lot availability for different types of vehicle by carpark location.
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.
**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). x-additionalinfo : |+ @@ -13,7 +13,7 @@ info: - Can also be integrated into apps related to maps or parking for more detailed carpark information within Singapore HDB estates **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.

**Filter Types:** A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: @@ -33,7 +33,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.

**Match Types:** From c1adc422ccd1b8766fa3855c89ac7cb0e4e18b80 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:07:41 +0530 Subject: [PATCH 5238/5916] Update directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index 30f74310b..2ae9a0bc5 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -9,7 +9,7 @@ info: - Build solutions related to startups in Singapore. For example, investors interested in industry analysis can use this microservice to identify the trends and patterns in Singapore's startup scene. **Refining queries in the filterdata field using filter types and match types** - The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries. + The filterdata fields use elasticsearch’s syntax (specifically filter types and match types) to help further refine search results and provide greater flexibility in structuring more sophisticated queries.

**Filter Types:** A filter type is a logic operator to which the search results must fulfill certain logical conditions to be returned. The supported match types are: @@ -27,7 +27,7 @@ info: For a more detailed guide on filter types, [refer to this](https://www.elastic.co/guide/en/elasticsearch/reference/6.8/query-dsl-bool-query.html). - Filter types cannot be used alone and must be used in conjunction with a match type to complete the query. + Filter types cannot be used alone and must be used in conjunction with a match type to complete the query.
**Match Types:** A match type is a match operator nested within a filter type that fine-tunes the matching condition of the text search. The supported match types are: From 631442121ea70b297736d90e5765d0ab96a7aeda Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:09:50 +0530 Subject: [PATCH 5239/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 960b10cfe..1a6411c57 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -4,7 +4,8 @@ info: x-subscribelink: fitness_stations_and_playgrounds_hdb_sg description: > Returns information on the map data including: coordinates, type and the - details of the location.This Data microservice captures the indicative + details of the location.
+ This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. x-additionalinfo: > From 085675407a4d1d2278c92c74ad5d972495e43bc0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:22:09 +0530 Subject: [PATCH 5240/5916] Create neural_speech.yaml --- voice/neural_speech.yaml | 252 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 252 insertions(+) create mode 100644 voice/neural_speech.yaml diff --git a/voice/neural_speech.yaml b/voice/neural_speech.yaml new file mode 100644 index 000000000..d6e9225ed --- /dev/null +++ b/voice/neural_speech.yaml @@ -0,0 +1,252 @@ + +openapi: 3.0.1 +info: + title: Neural Speech Enhancement (NSE) + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus NSE can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: nueral_speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - sep 31, 2022" +paths: + /microservices/voice/nueralspeech/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + sampling_rate: 22050 + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 31,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From f8eb1eb62a42bee4e821fb3dc33db61c46ae499d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:31:32 +0530 Subject: [PATCH 5241/5916] Update fitness_stations_and_playgrounds_hdb_sg.yaml --- data/fitness_stations_and_playgrounds_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg.yaml b/data/fitness_stations_and_playgrounds_hdb_sg.yaml index 1a6411c57..b2f9c1935 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg.yaml @@ -4,7 +4,7 @@ info: x-subscribelink: fitness_stations_and_playgrounds_hdb_sg description: > Returns information on the map data including: coordinates, type and the - details of the location.
+ details of the location.

This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. From 71215d2974499bdd6ea1576ae6ae99caafe158f9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:33:08 +0530 Subject: [PATCH 5242/5916] Update amenities_lamp_posts_hdb_sg.yaml --- data/amenities_lamp_posts_hdb_sg.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg.yaml b/data/amenities_lamp_posts_hdb_sg.yaml index f93dff923..b43dff547 100644 --- a/data/amenities_lamp_posts_hdb_sg.yaml +++ b/data/amenities_lamp_posts_hdb_sg.yaml @@ -3,9 +3,7 @@ info: title: HDB Lamp Posts Locations (SG) x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ - This Data microservice returns the indicative locations of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format. - - + This Data microservice returns the indicative locations of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and /or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ @@ -18,7 +16,7 @@ info: * **geo_distance** - Returns the geo search based on the distance and location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. + relation should be anyone based on requirement.
> INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. > WITHIN - Return all documents whose geo_shape field is within the query geometry. From a44a65d7155c649212fdf0fc53ea9af33b4877d3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:34:38 +0530 Subject: [PATCH 5243/5916] Update amenities_hardcourts_hdb_sg.yaml --- data/amenities_hardcourts_hdb_sg.yaml | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg.yaml b/data/amenities_hardcourts_hdb_sg.yaml index 88eb85c59..9c40ce49b 100644 --- a/data/amenities_hardcourts_hdb_sg.yaml +++ b/data/amenities_hardcourts_hdb_sg.yaml @@ -3,10 +3,8 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and / or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the object. - - A successful call will return the results of the query in JSON format. - + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and the details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and / or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the object.
+ A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ @@ -21,7 +19,7 @@ info: * **geo_distance** - Returns the geo search based on the distance and location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. + relation should be anyone based on requirement.
> INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. > WITHIN - Return all documents whose geo_shape field is within the query geometry. From 62c2043e4d68294d07a8e951ffd42399e3cc4980 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:39:32 +0530 Subject: [PATCH 5244/5916] Update amenities_shelters_hdb_sg.yaml --- data/amenities_shelters_hdb_sg.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/data/amenities_shelters_hdb_sg.yaml b/data/amenities_shelters_hdb_sg.yaml index f2d519b24..2f8926ddd 100644 --- a/data/amenities_shelters_hdb_sg.yaml +++ b/data/amenities_shelters_hdb_sg.yaml @@ -3,8 +3,7 @@ info: title: HDB Shelters Locations (SG) x-subscribelink: amenities_shelters_hdb_sg description: |+ - This Data microservice returns the indicative outline of shelters for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and/or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format. - + This Data microservice returns the indicative outline of shelters for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB land. The output includes map data such as: coordinates, type and details of the location. The features were captured by the Singapore Land Authority (SLA) in 2014 using high-definition ortho-rectified aerial imagery and manually digitised. Objects that are largely obscured by trees, structures and/or shadows are likely not captured in this data set. The outlines of partially obstructed objects were estimated where possible and may may not accurately represent the actual shape of the object. A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ **Match types:** @@ -18,7 +17,7 @@ info: * **geo_distance** - Returns the geo search based on the distance and location lat/long > {"geo_distance": {"distance": "11km","geometry": "1.349439786854645,103.75736216302658"}} * **geo_shape** - Returns the geo search based on the type and coordinates. - relation should be anyone based on requirement. + relation should be anyone based on requirement.
> INTERSECTS - (default) Return all documents whose geo_shape field intersects the query geometry. > DISJOINT - Return all documents whose geo_shape field has nothing in common with the query geometry. > WITHIN - Return all documents whose geo_shape field is within the query geometry. From c41601fc82620162a770841ff9c3fc5426db1476 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:40:44 +0530 Subject: [PATCH 5245/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index 719db467b..17bd1ce7a 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -4,7 +4,7 @@ info: description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace (winding up records) of a company which includes the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships. + - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships.
- Aside from being able to protect your business via litigation checks to safeguard against reputational risk by avoiding companies potentially involved in financial crimes, the information from this microservice can serve as a quick solution for analysts or lawyers in a company whom are looking to draft documents related to cooperate finance or legal domains with one quick search. version: '1.0.1' x-subscribelink: d&b_business_check_plus_sg From 62ceebef74e444d037cdd14fca539024ca7ee27c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:42:03 +0530 Subject: [PATCH 5246/5916] Update d&b_basic_individual_search_sg_v0.1.yaml --- data/d&b_basic_individual_search_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_basic_individual_search_sg_v0.1.yaml b/data/d&b_basic_individual_search_sg_v0.1.yaml index 9a7c2ce05..515f0fed8 100644 --- a/data/d&b_basic_individual_search_sg_v0.1.yaml +++ b/data/d&b_basic_individual_search_sg_v0.1.yaml @@ -5,7 +5,7 @@ info: This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation. + - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation.
- Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. version: '0.1.0' x-subscribelink: d&b_basic_individual_search_sg From ee136ced2811cd1056d53364e8c3d241b5c09b45 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:42:15 +0530 Subject: [PATCH 5247/5916] Update dnb_basic_individual_search_sg.yaml --- data/dnb_basic_individual_search_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/dnb_basic_individual_search_sg.yaml b/data/dnb_basic_individual_search_sg.yaml index 70a3f2069..1f95eda41 100644 --- a/data/dnb_basic_individual_search_sg.yaml +++ b/data/dnb_basic_individual_search_sg.yaml @@ -5,7 +5,7 @@ info: This Data microservice provides the information on the business interest and involvement of an individual residing in Singapore. It includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and number of times this individual has been searched on. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation. + - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation.
- Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. version: '1.0.1' x-subscribelink: d&b_basic_individual_search_sg From 06f0f0504d2fd21c1c226c67035b3592fa1ea036 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:43:58 +0530 Subject: [PATCH 5248/5916] Update fitness_stations_and_playgrounds_hdb_sg_v1.yaml --- data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml b/data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml index 6d2976bdf..35cad29ea 100644 --- a/data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml +++ b/data/fitness_stations_and_playgrounds_hdb_sg_v1.yaml @@ -3,8 +3,8 @@ info: title: HDB Fitness Stations and Playgrounds (SG) x-subscribelink: fitness_stations_and_playgrounds_hdb_sg description: |+ - This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice captures the indicative outline of fitness stations/playgrounds for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery (2014) and manually digitized. Objects largely obstructed by trees, structures and/or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object.
+ A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo: |+ Suggested Use Cases: From a3238d89504c893cbd2f4ab7465bc54ad3b6b61b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:44:26 +0530 Subject: [PATCH 5249/5916] Update amenities_lamp_posts_hdb_sg_v1.yaml --- data/amenities_lamp_posts_hdb_sg_v1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_lamp_posts_hdb_sg_v1.yaml b/data/amenities_lamp_posts_hdb_sg_v1.yaml index 0dbb11300..36d3cad49 100644 --- a/data/amenities_lamp_posts_hdb_sg_v1.yaml +++ b/data/amenities_lamp_posts_hdb_sg_v1.yaml @@ -3,8 +3,8 @@ info: title: HDB Lamp Posts Locations (SG) x-subscribelink: amenities_lamp_posts_hdb_sg description: |+ - This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice returns the indicative location of lamp posts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset.
+ A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo: |+ Suggested Use Cases: From 485463a64c44c81c541f94e595909ee783ec8d54 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:44:50 +0530 Subject: [PATCH 5250/5916] Update amenities_hardcourts_hdb_sg_v1.yaml --- data/amenities_hardcourts_hdb_sg_v1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/amenities_hardcourts_hdb_sg_v1.yaml b/data/amenities_hardcourts_hdb_sg_v1.yaml index af762d0a8..81cff5a71 100644 --- a/data/amenities_hardcourts_hdb_sg_v1.yaml +++ b/data/amenities_hardcourts_hdb_sg_v1.yaml @@ -3,8 +3,8 @@ info: title: HDB Hardcourts Locations (SG) x-subscribelink: amenities_hardcourts_hdb_sg description: |+ - This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice returns the indicative outline of hardcourts for all Housing Development Board of Singapore (HDB) Towns, HDB Estates and on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from Singapore Land Authority (SLA) (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were estimated where possible and may not accurately represent the actual shape of the actual object.
+ A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo: |+ Suggested Use Cases: From 8410edb6b5ed952bbe2c29903f364d88b60d4aee Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:45:27 +0530 Subject: [PATCH 5251/5916] Update amenities_shelters_hdb_sg_v1.yaml --- data/amenities_shelters_hdb_sg_v1.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/amenities_shelters_hdb_sg_v1.yaml b/data/amenities_shelters_hdb_sg_v1.yaml index c001461ad..5b2452d49 100644 --- a/data/amenities_shelters_hdb_sg_v1.yaml +++ b/data/amenities_shelters_hdb_sg_v1.yaml @@ -3,13 +3,13 @@ info: title: HDB Shelters Locations (SG) x-subscribelink: amenities_shelters_hdb_sg description: |+ - This Data microservice returns the indicative outline of shelters for all Housing Development Board (HDB) Towns and Estates and only on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from SLA (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. Precinct Pavilions are not included in this microservice. - A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file. + This Data microservice returns the indicative outline of shelters for all Housing Development Board (HDB) Towns and Estates and only on HDB Land. The features were identified visually from a high definition ortho-rectified aerial imagery and manually digitised. The imagery was obtained from SLA (captured in 2014). Objects largely obstructed by trees, structures and / or shadow are likely not captured in this dataset. The outlines of partially obstructed objects were extrapolated where possible and may not fully represent the actual shape of the actual object. Precinct Pavilions are not included in this microservice.
+ A successful call will return a pre-signed URL where the entire dataset can be downloaded as a CSV file.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme. x-additionalinfo: |+ Suggested Use Cases: - - Real estate services - can be used as a solution to extract information related to the types and number of shelters present for people buying or renting a HDB home. - - Property background checks - can be used as a background check service for retail shops owners looking to set up their shops in HDBs, as areas with shelters may induce the likelihood of more customers. + - Real estate services - can be used as a solution to extract information related to the types and number of shelters present for people buying or renting a HDB home.
+ - Property background checks - can be used as a background check service for retail shops owners looking to set up their shops in HDBs, as areas with shelters may induce the likelihood of more customers.
- Can also be used as a solution to improve user awareness and personalization - for example, a weather app can refer a user to the nearest HDB shelter in the case of a rainy day. Download the complete dataset using a pre-signed URL. It's a two steps process From d7659161b4d0f37630946ff6ee06530873a7d655 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:46:24 +0530 Subject: [PATCH 5252/5916] Update dnb_basic_individual_search_sg.yaml --- data/dnb_basic_individual_search_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/dnb_basic_individual_search_sg.yaml b/data/dnb_basic_individual_search_sg.yaml index 1f95eda41..e9a79ae5c 100644 --- a/data/dnb_basic_individual_search_sg.yaml +++ b/data/dnb_basic_individual_search_sg.yaml @@ -5,7 +5,7 @@ info: This Data microservice provides the information on the business interest and involvement of an individual residing in Singapore. It includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and number of times this individual has been searched on. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation.
+ - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation.

- Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. version: '1.0.1' x-subscribelink: d&b_basic_individual_search_sg From 38b15607471662076455806d6883d2842ebd181e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:46:37 +0530 Subject: [PATCH 5253/5916] Update d&b_basic_individual_search_sg_v0.1.yaml --- data/d&b_basic_individual_search_sg_v0.1.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_basic_individual_search_sg_v0.1.yaml b/data/d&b_basic_individual_search_sg_v0.1.yaml index 515f0fed8..f70f25c2d 100644 --- a/data/d&b_basic_individual_search_sg_v0.1.yaml +++ b/data/d&b_basic_individual_search_sg_v0.1.yaml @@ -5,7 +5,7 @@ info: This Data microservice provides the information on the (Singapore-registered) business interest of an individual that includes the individual’s actual name, residential address, business and shareholding in businesses, current & previous ownership, litigation against individual and businesses, bankruptcy record and count on the times this individual has been searched on. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation.
+ - Software solutions that require personal checks, e.g. in the appointment of Board Members, Directorship or C-suite level hiring, where the appointee’s background is paramount to the Company and its reputation.

- Swift pre-employment screening solution - information provided by the microservice can be used to protect one's company's reputation from potential negative publicity by conducting background checks on individuals prior to hiring. version: '0.1.0' x-subscribelink: d&b_basic_individual_search_sg From 18e4c84138e286f404f4794e97e5349a4d68ef9c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:48:57 +0530 Subject: [PATCH 5254/5916] Update d&b_business_check_plus_sg.yaml --- data/d&b_business_check_plus_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_business_check_plus_sg.yaml b/data/d&b_business_check_plus_sg.yaml index 17bd1ce7a..49ff047a5 100644 --- a/data/d&b_business_check_plus_sg.yaml +++ b/data/d&b_business_check_plus_sg.yaml @@ -4,7 +4,7 @@ info: description: The Data microservice provides key business information, litigation information (High and Subordinate Courts) and Winding Up Trace (winding up records) of a company which includes the Business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholder. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships.
+ - Software solutions targeted at corporate finance and legal domains, e.g. in cases of mergers, joint ventures or partnerships.

- Aside from being able to protect your business via litigation checks to safeguard against reputational risk by avoiding companies potentially involved in financial crimes, the information from this microservice can serve as a quick solution for analysts or lawyers in a company whom are looking to draft documents related to cooperate finance or legal domains with one quick search. version: '1.0.1' x-subscribelink: d&b_business_check_plus_sg From e2dd98215fdeb32f3f856a916beb86a9696d621f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:50:41 +0530 Subject: [PATCH 5255/5916] Update d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index 7feab8486..33d91e3a7 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -5,10 +5,10 @@ info: This Data microservice provides key business information of a Singapore-registered company that includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels. - - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more. - - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements. - - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime. + - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels.
+ - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more.
+ - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements.
+ - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime.
- It can also be used for finance-related domains such as vehicle leasing, loans, enterprise credit terms and so on. Updated daily. version: '1.0.1' x-subscribelink: d&b_business_check_sg From 7abf112d822a0880560af46c3ab46b029e692ad4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:51:29 +0530 Subject: [PATCH 5256/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index b14e34ff7..2f0b3f9e9 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -4,7 +4,7 @@ info: description: This Data microservice provides an annual financial information of Singapore-registered businesses which includes profit and loss and financial ratios. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios. + - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios.
- Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. version: '1.0.1' x-subscribelink: d&b_brief_financial_information_sg From 3bca99be240b64ff602dd14722090f9841976d1e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:52:43 +0530 Subject: [PATCH 5257/5916] Update trajectory_clustering.yaml --- data/trajectory_clustering.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/trajectory_clustering.yaml b/data/trajectory_clustering.yaml index 81444c36e..bc608ca1f 100644 --- a/data/trajectory_clustering.yaml +++ b/data/trajectory_clustering.yaml @@ -2,8 +2,8 @@ info: title: Trajectory Clustering description: |+ - This Data Analytics microservice groups the input trajectories of objects into clusters based on positions and velocity. A target object can be anything mobile that is continuously tracked or "pinged-back" (e.g. vehicles, mobile phones). - The clustering algorithm requires a set of trajectories. Each trajectory has a unique id (e.g. t1, t2) and a sequence of 2D points (X-Y coordinates and corresponding timestamps). + This Data Analytics microservice groups the input trajectories of objects into clusters based on positions and velocity. A target object can be anything mobile that is continuously tracked or "pinged-back" (e.g. vehicles, mobile phones).
+ The clustering algorithm requires a set of trajectories. Each trajectory has a unique id (e.g. t1, t2) and a sequence of 2D points (X-Y coordinates and corresponding timestamps).
See additional information for relationship of target objects and their trajectories. version: '0.1.0' x-additionalinfo: |+ From ca928896d7423f4f4fc9a9f9bace6f7f112dece5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:53:27 +0530 Subject: [PATCH 5258/5916] Update lta_road_works.yaml --- data/lta_road_works.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_road_works.yaml b/data/lta_road_works.yaml index 47936f738..60a734710 100644 --- a/data/lta_road_works.yaml +++ b/data/lta_road_works.yaml @@ -3,7 +3,7 @@ info: title: LTA Road Works x-subscribelink: lta_road_works description: |+ - This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data. + This Data microservice returns all road works being / to be carried out. Updates every 24 hours or whenever there is new data.
This microservice contains information from LTA Datamall's Road Works dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). x-additionalinfo : |+ **Match Types:** From f038517c00a07906dd7f74fe5f75e75ee4ea3bad Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:53:47 +0530 Subject: [PATCH 5259/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 746af8079..573162de1 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -3,7 +3,7 @@ info: title: LTA Carpark Availability Historical x-subscribelink: lta_car_park_availability_historical description: |+ - This Data microservice returns the historical no. of available lots for Housing Development Board (HDB), Land Transport Authority (LTA) and Urban Redevelopment Authority (URA) carpark data in 1 minute intervals. + This Data microservice returns the historical no. of available lots for Housing Development Board (HDB), Land Transport Authority (LTA) and Urban Redevelopment Authority (URA) carpark data in 1 minute intervals.
The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District. Updates every 1 minute. x-additionalinfo : |+ From 1244e80436e9167f28c706d39448924afa2083d6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:54:33 +0530 Subject: [PATCH 5260/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index 573162de1..de27c3750 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -4,7 +4,7 @@ info: x-subscribelink: lta_car_park_availability_historical description: |+ This Data microservice returns the historical no. of available lots for Housing Development Board (HDB), Land Transport Authority (LTA) and Urban Redevelopment Authority (URA) carpark data in 1 minute intervals.
- The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District. + The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District.
Updates every 1 minute. x-additionalinfo : |+ **Match Types:** From 355aeaa0045541d1df854e3de1eb39f3d7614682 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:55:21 +0530 Subject: [PATCH 5261/5916] Update lta_traffic_images.yaml --- data/lta_traffic_images.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_images.yaml b/data/lta_traffic_images.yaml index 0966285dc..4b789253e 100644 --- a/data/lta_traffic_images.yaml +++ b/data/lta_traffic_images.yaml @@ -3,7 +3,7 @@ info: title: LTA Traffic Images x-subscribelink: lta_traffic_images description: |+ - This Data microservice returns links to images of live traffic conditions along expressways and Woodlands & Tuas Checkpoints. Updates every 2 minutes. + This Data microservice returns links to images of live traffic conditions along expressways and Woodlands & Tuas Checkpoints. Updates every 2 minutes.
This microservice contains information from LTA Datamall's Traffic Images dataset which is made available under the terms of the[Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). x-additionalinfo : |+ **Match Types:** From 2d4dc65f51668a2ba06a6b55f2d43128cbff4e0d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:55:57 +0530 Subject: [PATCH 5262/5916] Update lta_car_park_availability_historical.yaml --- data/lta_car_park_availability_historical.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/data/lta_car_park_availability_historical.yaml b/data/lta_car_park_availability_historical.yaml index de27c3750..240330776 100644 --- a/data/lta_car_park_availability_historical.yaml +++ b/data/lta_car_park_availability_historical.yaml @@ -4,8 +4,7 @@ info: x-subscribelink: lta_car_park_availability_historical description: |+ This Data microservice returns the historical no. of available lots for Housing Development Board (HDB), Land Transport Authority (LTA) and Urban Redevelopment Authority (URA) carpark data in 1 minute intervals.
- The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District.
- Updates every 1 minute. + The LTA carpark data consists of major shopping malls and developments within Orchard, Marina, HarbourFront, Jurong Lake District. Updates every 1 minute. x-additionalinfo : |+ **Match Types:** A match type is a match operator. The supported match types are: From fce760a1368a7349026385c9b85c5e36d220fd76 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:56:37 +0530 Subject: [PATCH 5263/5916] Update lta_traffic_incidents.yaml --- data/lta_traffic_incidents.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_traffic_incidents.yaml b/data/lta_traffic_incidents.yaml index 98bad9e49..a0a4fc2a0 100644 --- a/data/lta_traffic_incidents.yaml +++ b/data/lta_traffic_incidents.yaml @@ -3,7 +3,7 @@ info: title: LTA Traffic Incidents x-subscribelink: lta_traffic_incidents description: |+ - This Data microservice returns real time incidents on the roads, such as Accidents, Vehicle Breakdowns, Road Blocks, Traffic Diversions etc. Updates every 2 minutes or whenever there is new data. + This Data microservice returns real time incidents on the roads, such as Accidents, Vehicle Breakdowns, Road Blocks, Traffic Diversions etc. Updates every 2 minutes or whenever there is new data.
This microservice contains information from LTA Datamall's Traffic Incidence dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). x-additionalinfo : |+ **Match Types:** From e9d4d894de1d79a573008bad375b176295202ac1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:57:24 +0530 Subject: [PATCH 5264/5916] Update d&b_business_check_sg.yaml --- data/d&b_business_check_sg.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/d&b_business_check_sg.yaml b/data/d&b_business_check_sg.yaml index 33d91e3a7..472440180 100644 --- a/data/d&b_business_check_sg.yaml +++ b/data/d&b_business_check_sg.yaml @@ -5,10 +5,10 @@ info: This Data microservice provides key business information of a Singapore-registered company that includes the business name, registration number, registered address and date of change, company status, registered activities, shareholders details (i.e. date of commencement, residing address) capital amount and shares allocated to each shareholders. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels.
- - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more.
- - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements.
- - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime.
+ - For software solutions that require general background checks of a company. This microservice can provide a high level of scrutiny of potential business associates, and throw light on the risks that cannot be detected by geopolitical analysis or batch screening levels.

+ - For example, this microservice can be used to check if a Singapore-registered company meets regulations, such as if the company complies with anti-money laundering, anti-bribery, and corruption regulations by looking at registered activities, shareholders details, and more.

+ - It can also be used to simplify the due diligence process, by identify risk issues using a range of reports that meet different compliance requirements.

+ - It can also be used to protect your business – safeguard against reputational risk by avoiding those involved in financial crime.

- It can also be used for finance-related domains such as vehicle leasing, loans, enterprise credit terms and so on. Updated daily. version: '1.0.1' x-subscribelink: d&b_business_check_sg From 6b7c0420c6a0750e8fb417a5f4fd3d4d34bf2584 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:57:34 +0530 Subject: [PATCH 5265/5916] Update d&b_brief_financial_information_sg.yaml --- data/d&b_brief_financial_information_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/d&b_brief_financial_information_sg.yaml b/data/d&b_brief_financial_information_sg.yaml index 2f0b3f9e9..16ae3c8cd 100644 --- a/data/d&b_brief_financial_information_sg.yaml +++ b/data/d&b_brief_financial_information_sg.yaml @@ -4,7 +4,7 @@ info: description: This Data microservice provides an annual financial information of Singapore-registered businesses which includes profit and loss and financial ratios. Updated daily. x-additionalinfo: |+ Suggested Use Cases: - - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios.
+ - Software solutions with functions for personal credit checks, e.g. for parties who have a vested interest (e.g. banks, investors) in the company’s performance and to evaluate the company’s gearing and acid ratios.

- Information from this microservice can be used for financial analysis - one can build models based on historical behavior. Continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data. version: '1.0.1' x-subscribelink: d&b_brief_financial_information_sg From 7ed811dde4c87eabdfc545a5144ce99de3e30506 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:58:43 +0530 Subject: [PATCH 5266/5916] Update lta_vms.yaml --- data/lta_vms.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_vms.yaml b/data/lta_vms.yaml index b5c228b65..cccba9349 100644 --- a/data/lta_vms.yaml +++ b/data/lta_vms.yaml @@ -3,7 +3,7 @@ info: title: LTA VMS x-subscribelink: lta_vms description: |+ - This Data microservice returns traffic advisories (via variable message services) concerning current traffic conditions that are displayed on EMAS signboards along expressways and arterial roads. Updates every 2 minutes or whenever there is new data. + This Data microservice returns traffic advisories (via variable message services) concerning current traffic conditions that are displayed on EMAS signboards along expressways and arterial roads. Updates every 2 minutes or whenever there is new data.
This microservice contains information from LTA Datamall's VMS dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). x-additionalinfo : |+ **Match Types:** From 9cc44106ba2f04071c643c634d276fe0caa1e533 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:59:07 +0530 Subject: [PATCH 5267/5916] Update lta_faulty_traffic_lights.yaml --- data/lta_faulty_traffic_lights.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/lta_faulty_traffic_lights.yaml b/data/lta_faulty_traffic_lights.yaml index 30608ebdc..c7289430c 100644 --- a/data/lta_faulty_traffic_lights.yaml +++ b/data/lta_faulty_traffic_lights.yaml @@ -3,7 +3,7 @@ info: title: LTA Faulty Traffic Lights x-subscribelink: lta_faulty_traffic_lights description: |+ - This Data microservice returns alerts of traffic lights that are currently faulty, or undergoing scheduled maintenance. Updates every 2 minutes or whenever there is new data. + This Data microservice returns alerts of traffic lights that are currently faulty, or undergoing scheduled maintenance. Updates every 2 minutes or whenever there is new data.
This microservice contains information from LTA Datamall's Faulty Traffic Lights dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). x-additionalinfo : |+ **Match Types:** From 6f6baf26ffdd54803e558c6d98f664bc90ce383a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:59:30 +0530 Subject: [PATCH 5268/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index 1cad348b6..c4c6606e3 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -3,9 +3,9 @@ info: title: LTA Passenger Volume by Bus Stops x-subscribelink: lta_pv_bus description: |+ - Returns tap in and tap out passenger volume by weekdays and weekends for individual bus stop. + Returns tap in and tap out passenger volume by weekdays and weekends for individual bus stop.
This microservice contains information from LTA Datamall's VBS dataset which is made available under the terms of the - [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence).
By 15th of every month, the passenger volume for previous month data will be generated. If current date is below 15 default return should be 2nd month data from current month, if date is after 15 return should be the last month data. x-additionalinfo : |+ From b8b137ab725bd6354df2299392371e8833d9a0a1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 10:59:49 +0530 Subject: [PATCH 5269/5916] Update realtime_weather.yaml --- data/realtime_weather.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/data/realtime_weather.yaml b/data/realtime_weather.yaml index 5a76b069b..693756a1d 100644 --- a/data/realtime_weather.yaml +++ b/data/realtime_weather.yaml @@ -3,8 +3,7 @@ info: title: Realtime Weather x-subscribelink: realtime_weather description: |+ - Current weather or realtime weather API method allows a user to get up to date current weather information. The data is returned as a Current Object. - + Current weather or realtime weather API method allows a user to get up to date current weather information. The data is returned as a Current Object.
Current object contains current or realtime weather information for a given city. version: '0.1.1' From 6b8b02c19d9be961f232b0195ea14999c696d2e3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 11:28:51 +0530 Subject: [PATCH 5270/5916] Update lta_pv_bus.yaml --- data/lta_pv_bus.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/data/lta_pv_bus.yaml b/data/lta_pv_bus.yaml index c4c6606e3..64f3cc12a 100644 --- a/data/lta_pv_bus.yaml +++ b/data/lta_pv_bus.yaml @@ -6,8 +6,7 @@ info: Returns tap in and tap out passenger volume by weekdays and weekends for individual bus stop.
This microservice contains information from LTA Datamall's VBS dataset which is made available under the terms of the [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence).
- By 15th of every month, the passenger volume for previous month data will be generated. If current date is below 15 default return - should be 2nd month data from current month, if date is after 15 return should be the last month data. + By 15th of every month, the passenger volume for previous month data will be generated. If current date is below 15 default return should be 2nd month data from current month, if date is after 15 return should be the last month data. x-additionalinfo : |+ **Match Types:** A match type is a match operator. The supported match types are: From 0b61775542cf67b49ecbedfb73b6e424650b30bf Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:00:31 +0530 Subject: [PATCH 5271/5916] Update page_profiler_eng.yaml --- nlp/page_profiler_eng.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index c03c48c55..38d58c9b4 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -2,10 +2,10 @@ info: title: Page Profiler ENG description: |+ - This NLP microservice retrieves web content in English from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output.
- The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
- This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - + This NLP microservice retrieves web content in English from the input URL.
+ From the web content, the microservice then applies natural language processing to extract named-entities and return the output.
+ The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
x-subscribelink: page_profiler_eng x-additionalinfo: |+ Suggested Use Cases: From 6b69b24fab3a2f161b1f44caa224bb378edf9370 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:02:00 +0530 Subject: [PATCH 5272/5916] Update named-entity_recognition_jp.yaml --- nlp/named-entity_recognition_jp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_jp.yaml b/nlp/named-entity_recognition_jp.yaml index 8d9924d73..ab1220ed4 100644 --- a/nlp/named-entity_recognition_jp.yaml +++ b/nlp/named-entity_recognition_jp.yaml @@ -3,7 +3,7 @@ info: title: Named-Entity Recognition JP description: |+ This NLP microservice locates and classifies the named-entity classes from input unstructured Japanese text.
- The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ The named-entity classes extracted are academia, animals, fictional characters, colors, date, diseases, events, facilities, food, geopolitical entities, langauges law, locations, media works, measurements, money, identity groups, natural objects, ordinals, offences, organizations, percentage, people, products, quantities, sports, time, titles, vehicles, works of art and weapons.
This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
The input text **should not exceed 5000 characters**. version: '2.0.0' From 171afb6420a6a7927a877b490cbae124cba14439 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:02:47 +0530 Subject: [PATCH 5273/5916] Update named-entity_recognition_jp_v1.0.yaml --- nlp/named-entity_recognition_jp_v1.0.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/named-entity_recognition_jp_v1.0.yaml b/nlp/named-entity_recognition_jp_v1.0.yaml index 4223f9b74..5b12a3eeb 100644 --- a/nlp/named-entity_recognition_jp_v1.0.yaml +++ b/nlp/named-entity_recognition_jp_v1.0.yaml @@ -2,10 +2,10 @@ openapi: 3.0.1 info: title: Named-Entity Recognition JP description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Japanese text.
- The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ This NLP microservice locates and classifies the named-entity classes from input unstructured Japanese text.
+ The named-entity classes extracted are academia, animals, fictional characters, colors, date, diseases, events, facilities, food, geopolitical entities, langauges law, locations, media works, measurements, money, identity groups, natural objects, ordinals, offences, organizations, percentage, people, products, quantities, sports, time, titles, vehicles, works of art and weapons.
This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
- Do ensure that your text is within **5000 characters**. + The input text **should not exceed 5000 characters**. version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: From a88a9bf6e515a72fa749dbdf5b40844a37279cb9 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:05:05 +0530 Subject: [PATCH 5274/5916] Update named-entity_recognition_thai_v1.0.yaml --- nlp/named-entity_recognition_thai_v1.0.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/named-entity_recognition_thai_v1.0.yaml b/nlp/named-entity_recognition_thai_v1.0.yaml index a02efb6ed..313320c4a 100644 --- a/nlp/named-entity_recognition_thai_v1.0.yaml +++ b/nlp/named-entity_recognition_thai_v1.0.yaml @@ -2,10 +2,10 @@ openapi: 3.0.1 info: title: Named-Entity Recognition THAI description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured Thai text.
- The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
+ This NLP microservice locates and classifies the named-entity classes from input unstructured Thai text and also returns the entity start and end positions.
+ The named-entity classes extracted are laws, locations, measurements, money, organizations, people, phone numnbers, time, URLs and zip codes.
This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
- Do ensure that your text is **within 5000 characters**. + The input text **should not exceed 5000 characters**. version: '1.0.0' x-additionalinfo: |+ Suggested Use Cases: From 5a6a3c66452950899c50ee06bb92f8e62687d74e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:07:12 +0530 Subject: [PATCH 5275/5916] Update page_profiler_jp.yaml --- nlp/page_profiler_jp.yaml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/nlp/page_profiler_jp.yaml b/nlp/page_profiler_jp.yaml index d6e62f2ef..09c2556de 100644 --- a/nlp/page_profiler_jp.yaml +++ b/nlp/page_profiler_jp.yaml @@ -2,10 +2,9 @@ info: title: Page Profiler JP description: |+ - This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output.
- The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
- This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. - + This NLP microservice retrieves web content in Japanese from the input URL. From the web content, the microservice then applies natural language processing to extract named-entities and return the output.
+ The named-entity classes extracted are academia, animals, fictional characters, colors, date, diseases, events, facilities, food, geopolitical entities, langauges law, locations, media works, measurements, money, identity groups, natural objects, ordinals, offences, organizations, percentage, people, products, quantities, sports, time, titles, vehicles, works of art and weapons.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. x-additionalinfo: |+ Suggested Use Cases: - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

From e4d32593bd43b0b71fa12cb530b9bcd325964cb0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:08:01 +0530 Subject: [PATCH 5276/5916] Update page_profiler_thai.yaml --- nlp/page_profiler_thai.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/nlp/page_profiler_thai.yaml b/nlp/page_profiler_thai.yaml index e4670ba5f..b11e9d302 100644 --- a/nlp/page_profiler_thai.yaml +++ b/nlp/page_profiler_thai.yaml @@ -2,9 +2,8 @@ info: title: Page Profiler THAI description: |+ - This NLP microservice retrieves web content in Thai from the input URL. From the web content, the microservice then applies natural language processing to extracts named-entities and returns the output.
- The named-entity classes extracted are people's names, locations, organisations and miscellaneous.
- This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc. + This NLP microservice accepts text and returns a response containing the overall sarcasm of the input text as well as the overall sentiment and confidence score for each sentiment label (positive, negative, and neutral).
+ While the number of characters in the input can go up to 5000 characters, for best results, it is recommended to input short text such as tweets, comments, news, and headlines. x-additionalinfo: |+ Suggested Use Cases: - Insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

From 9310b2a978aefa7285a95baefd421699abdd5d8b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:10:34 +0530 Subject: [PATCH 5277/5916] Update person_reidentification.yaml --- computer_vision/person_reidentification.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/person_reidentification.yaml b/computer_vision/person_reidentification.yaml index d3cc7eb17..7a932a3d9 100644 --- a/computer_vision/person_reidentification.yaml +++ b/computer_vision/person_reidentification.yaml @@ -3,8 +3,8 @@ openapi: 3.0.1 info: title: Person Reidentification description: |+ - This Computer Vision microservice returns a similarity score (confidence) between two cropped images of people in the same scene.
- The images are captured across different camera views in a multi-camera system, or across different time in a single camera system.
+ This Computer Vision microservice returns a similarity score (confidence) between two cropped images of people. The microservice uses visual cues from clothing and carried items, and not faces, to determine the likelihood that 2 cropped images are of the same person.
+ The cropped images can be captured across different camera views in a multi-camera system, or across different time in a single camera system. The images should be tightly cropped in a rectangle bounding box around person(s).
The size of your image **should not exceed 5MB**. x-additionalinfo: |+ The algorithm is tested on varying conditions with single and multiple surveillance camera setups. However, external conditions like lighting, occlusions, and unexpected change of appearance (e.g. removal of jacket, hatwear) may result in lower confidence than expected. A threshold of 0.8 confidence has been experimentally tested as a good value for many scenarios for determining if the two input images are of the same person.
From aa7a04b27151a849840a4b8b157de0b1a436e171 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:12:10 +0530 Subject: [PATCH 5278/5916] Update recommendation_engine.yaml --- analytics/recommendation_engine.yaml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index d0d1b32ec..b8ed00d8b 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -2,7 +2,12 @@ openapi: 3.0.1 info: title: Recommendation Engine description: |+ - This Analytics microservice is a new type of collaborative filtering recommender based on the Correlated Cross-Occurrence algorithm (CCO), which can use data from a wide variety of sources to tune and make recommendations better. + This Analytics microservices provides a page recommendation (content or product) to a user based on other similar users' past actions' (navigation, views, chats or purchase) patterns. The underlying model uses a new type of collaborative filtering recomender based on the Correlated Cross-Occurrence algorithm (CCO)
+ This microservice requires the use of 4 different APIs in sequential order:
+ - Data Injection API + - Engine Training API + - Get Recommendation API + - Track Recommendation Selection API version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to inject data, train data, get recommendations etc. User can also use bulk upload APIs to insert historial data using CSV for both events and items.Dedicated engines are created per primary indicator, after the engine creation the apis can be used to inject the data. From 0c4cf51df4eb2b76f57136f5662306c3b972fc8c Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:13:01 +0530 Subject: [PATCH 5279/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 25bebb430..ccac59312 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -3,11 +3,8 @@ info: title: Content Interest Profiling x-subscribelink: content_interesr_profiling description: |+ - This Analytics microservice helps profile the content and interest from the web page traffic.
- Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/Cookie/etc.) based on the history of documents it has accessed over time and the profile of those documents.
- Upon subscription, a javascript is sent to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well as the user. If required, users can also pass in user ID to identify the user using the external_id field.
- Only English language texts will be addressed.
- In addition to the Content Interest Profiling microservices, we are also releasing a few analytics overview microservice namely, traffic overview, page overview, and external id analytics. + This Analytics microservice helps profile the content and interest from the web page traffic. Content profiler would profile given text documents and Interest profiler would profile an entity (a human being/Internet session/cookie) based on the history of documents it has accessed over time and the profile of those documents.
+ Upon subscription, a javascript is sent to the user to place it within the web page. This will capture the web page traffic and auto profile the content as well as the user. If required, users can also pass in user ID to identify the user using the external_id field. Only English language texts will be addressed. In addition to the Content Interest Profiling microservices, we are also releasing a few analytics overview microservice namely, traffic overview, page overview, and external id analytics. x-additionalinfo : |+ Filters are applicable only for Content and Interest Profiling APIs. From e4ff5dce7b2acfbee1a901dcd10eb77aba472fbf Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:14:12 +0530 Subject: [PATCH 5280/5916] Update azure_tts.yaml --- voice/azure_tts.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/azure_tts.yaml b/voice/azure_tts.yaml index 958fda864..a85ac3c2f 100644 --- a/voice/azure_tts.yaml +++ b/voice/azure_tts.yaml @@ -3,8 +3,8 @@ openapi: 3.0.1 info: title: Azure TTS description: |+ - The text-to-speech REST API supports neural text-to-speech voices, which support specific languages and dialects that are identified by locale.
- The input text should not exceed **60000 characters**. + This Voice microservice converts text to speech using models on the Microsoft Azure platform which supports specific languages and dialects identified by locale.
+ The input text **should not exceed 6000 characters**. x-additionalinfo: |+ Other than English, it is mandatory to mention the voice name.

Supported languages are: From 7ed21d6cd5e16ebada54c607f864e3b2935156ef Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:15:44 +0530 Subject: [PATCH 5281/5916] Update sentence_ranking.yaml --- nlp/sentence_ranking.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/nlp/sentence_ranking.yaml b/nlp/sentence_ranking.yaml index 7b66a5eaf..d71d46206 100644 --- a/nlp/sentence_ranking.yaml +++ b/nlp/sentence_ranking.yaml @@ -2,9 +2,8 @@ openapi: 3.0.1 info: title: Sentence Ranking description: |+ - This NLP microservice takes in a text blurb and ranks the sentences based on their importance score.
- The sentence’s score is computed by the frequency of every each word in the sentence being mentioned in other sentences (using term frequency–inverse document frequency and TextRank algorithms).
- This Sentence Ranking microservice is useful for extractive summaries, which involves picking up the most important phrases and sentences from the original text input and reusing those to make up the summary. In this case, the microservice will only consider sentences with a score above the mean score (of all other sentences scores) as being significant and return those sentences only. Do note that the sentences are also returned on the order of appearance within the original text.
+ This NLP microservice takes in a text blurb and ranks the sentences based on their importance score. The sentence’s score is computed by the frequency of every each word in the sentence being mentioned in other sentences (using term frequency–inverse document frequency and TextRank algorithms).
+ This Sentence Ranking microservice is useful for extractive summaries, which involves picking up the most important phrases and sentences from the original text input and reusing those to make up the summary. In this case, the microservice will only consider sentences with a score above the mean score (of all other sentences scores) as being significant and return those sentences only. Do note that the sentences are also returned on the order of appearance within the original text.
The input text **should not exceed 5000 characters**. version: v0.1.0 x-additionalinfo: |+ From 1489cf39bc36458e4bd4b595b2fb308a09229498 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:16:57 +0530 Subject: [PATCH 5282/5916] Update machine_translation.yaml --- nlp/machine_translation.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/nlp/machine_translation.yaml b/nlp/machine_translation.yaml index 56f60fe06..cb8c39ee6 100644 --- a/nlp/machine_translation.yaml +++ b/nlp/machine_translation.yaml @@ -2,9 +2,8 @@ openapi: 3.0.1 info: title: Machine Translation description: |+ - This NLP microservice provides machine translation for the four official languages in Singapore (English, Malay, Chinese, Tamil).
- Additional language pair models can be added on. This model can also be deployed on-prem and used for future custom training.
- Do ensure that your text is within **500 characters**. + This NLP microservice provides machine translation for the four official languages in Singapore (English, Malay, Chinese, Tamil). Additional language pair models can be added on. This model can also be deployed on-prem and used for future custom training.
+ The input text **should not exceed 500 characters**. version: v0.1.0 x-additionalinfo: |+ **Supported languages are:**
From 5e869b16474d52b1b9b8da5c0b3cfa9c3d152f7a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:18:13 +0530 Subject: [PATCH 5283/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 60b41a011..c49849da3 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -2,9 +2,9 @@ openapi: 3.0.1 info: title: Few Shots Object Detection description: |+ - This Computer Vision microservice detects a single user-defined object class in the input query image and returns detected objects and their bounding boxes in the image coordinates.
+ This Computer Vision microservice detects a single user-defined object class in the input query image and returns detected objects and their bounding boxes in the image coordinates.
The object class is defined by the user with a set of support images. Each support image should be tightly cropped to the relevant part of the objects. E.g. To detect car tyres, cropped away other parts of the car; with only the tyre visible.
- The size of your image files should not exceed 5 MB, and the image dimension should be at least 416x416 pixels. + The size of your image file **should not exceed 5 MB**. x-additionalinfo: |+ To improve object detection accuracy: From 627af4ffc1907a4e685410810f66ad24cb51de42 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:19:06 +0530 Subject: [PATCH 5284/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 51afed113..22851eff7 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -3,7 +3,8 @@ info: title: ASR EN Unified description: |+ This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.
- This api supports upto 15 seconds audio file only. + This microservice can be effective for audio files with mixed English accents, as well as audio files that are noisy.
+ Do ensure that your audio file length is less than 15 seconds. version: '1.0.0' x-apitype: small file x-subscribelink: asr_en_unified From 6b6bb86d7bf9152a632ea289e0932e9d9a8fe511 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:20:26 +0530 Subject: [PATCH 5285/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index e2cd0c6d4..4d055a703 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Rule Engine description: |+ - This Analytics microservice is part of a business rule management system which executes a set of rules or condition in a runtime production environment. Such rules are used to process data and if any condition matches then it executes the corresponding actions.
+ This Analytics microservice is part of a business rule management system which executes a set of rules or condition in a runtime production environment. Such rules are used to process data and if any condition matches then it executes the corresponding actions.
This microservice only provides the inference (processing objects based on predefined rules), while the creation of the projects and objects and definition of rules is handled by a separate user-interface. version: '0.1.0' x-subscribelink: rule_engine From 4f3d23a7e757cea7b5730ef14cd045d95832a35e Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:21:10 +0530 Subject: [PATCH 5286/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 1ebd652c0..a1c1f0a45 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -2,10 +2,11 @@ openapi: 3.0.1 info: title: Fleet Routing Engine description: |+ - Fleet Routing Engine is a set of APIs that will handle vehicle route scheduling. The API will return optimized route for each inputted vehicle.
- - The number of maximum jobs is 60. - - The number of unique end customer is 50. - - The number of vehicles in the fleet is 15. + This set of Analytics microservices are responsible for handling vehicle route scheduling. There are limitations on the payload that can be posted to the +API, which are:
+ 1. The number of maximum jobs is 60. + 2. The number of unique end customer is 50. + 3. The number of vehicles in the fleet is 15. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. From 54277730eff6490b15826e7c51fd5a7af8595bac Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:21:42 +0530 Subject: [PATCH 5287/5916] Update load_planning_engine.yaml --- analytics/load_planning_engine.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/analytics/load_planning_engine.yaml b/analytics/load_planning_engine.yaml index 3f50583b8..c61552b7a 100644 --- a/analytics/load_planning_engine.yaml +++ b/analytics/load_planning_engine.yaml @@ -2,7 +2,9 @@ openapi: 3.0.1 info: title: Load Planning Engine description: |+ - Load Planning Engine API will give the client recommendation on how to arrange cargoes inside a vehicle. The input for the API is one vehicle with its assigned cargoes. + This Analytics microservice will provide recommendations on how to load cargoes within a vehicle.
+ The LPE API can be used together with the Fleet Routing Engine API. The API will also give the client visualization of the load plan in 6 different viewing angles.
+ If the payload includes pickup and delivery types of jobs, the load plan will be separated. All the cargo will be treated as a box shape and all cargoes inside a same job ID will be grouped into one big box. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process FRE data before the user can call the Load Planning Engine. In order to get the FRE data, do check out the Fleet Routing Engine Microservice for more details. From 6d1880a8ec3dafc8b08d510e4f88c4af7fd676fb Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:22:01 +0530 Subject: [PATCH 5288/5916] Update foretell_profiling.yaml --- analytics/foretell_profiling.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_profiling.yaml b/analytics/foretell_profiling.yaml index 8bc3382c3..0a1c6f437 100644 --- a/analytics/foretell_profiling.yaml +++ b/analytics/foretell_profiling.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Foretell Profiling description: |+ - Foretell Profiling API will take a time series data and process it to give response of its classification, change point, and predictability score. The period of each data point of the time series data input is to be determined by the client. + This Analytics microservice will take a time series data and process it to give response of its classification, change point, and predictability score. The period of each data point of the time series data input is to be determined by the client. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of different types of Fortell Profiling APIs. From 4d17b7e6a77dc52b6ae012c1f091aa44f97928f5 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:22:16 +0530 Subject: [PATCH 5289/5916] Update foretell_prediction.yaml --- analytics/foretell_prediction.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/foretell_prediction.yaml b/analytics/foretell_prediction.yaml index 28acdca1b..e4e54038b 100644 --- a/analytics/foretell_prediction.yaml +++ b/analytics/foretell_prediction.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Foretell Prediction description: |+ - Foretell Prediction API will return the predicted value of a time series together with the RMSE, MAE, and MAPE of the prediction. + This Analytics microservice will return the predicted value of a time series together with the Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) of the prediction. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of different types of Fortell Prediction APIs. From f61a8125b318275bdd8363782dd9b78ccaa40203 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:22:54 +0530 Subject: [PATCH 5290/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 06ac979f5..a2ad5158b 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -2,8 +2,8 @@ openapi: 3.0.1 info: title: Speaker Emotion Recognition description: |+ - This Voice microservice takes in an audio file(base64 format) and return the emotional feeling of voice.
- This api supports upto 50 seconds audio file only. + This Voice microservice takes in an audio file and tags the output by 7 emotions: angry, disgust, sad, fear, happy, surprise and neutral. +The length of your audio file **should not exceed 50 seconds**. version: '0.2.0' x-apitype: small file x-subscribelink: speaker_emotion_recognition From 63109f62538c99ef58e38abcf2dc30e4a11c2498 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:23:49 +0530 Subject: [PATCH 5291/5916] Update image_text_similarity.yaml --- computer_vision/image_text_similarity.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/computer_vision/image_text_similarity.yaml b/computer_vision/image_text_similarity.yaml index 0f091f83f..e0436c25c 100644 --- a/computer_vision/image_text_similarity.yaml +++ b/computer_vision/image_text_similarity.yaml @@ -3,8 +3,9 @@ openapi: 3.0.1 info: title: Image-Text Similarity description: |+ - This microservice is used to predict the similarity between an input image and list of text snippets and return a score corresponding to the most relevant text that matches the image.
- The underlying model is built using a neural network called CLIP (Contrastive Language-Image Pre-Training) that is trained on a variety of (image, text) pairs. The image file size cannot exceed 5MB. + This Computer Vision microservice is used to predict the similarity between an input image and list of text snippets and return a score corresponding to the most relevant text that matches the image.
+ The underlying model is built using a neural network called CLIP (Contrastive Language-Image Pre-Training) that is trained on a variety of (image, text) pairs.
+ The size of your image **cannot exceed 5MB**. version: v0.1.0 x-subscribelink: image_text_similarity x-apitype: small file From e89da286b6f7d982a69aeb7484e8a038690311a6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:25:21 +0530 Subject: [PATCH 5292/5916] Update neural_speech.yaml --- voice/neural_speech.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/neural_speech.yaml b/voice/neural_speech.yaml index d6e9225ed..e433b3c2d 100644 --- a/voice/neural_speech.yaml +++ b/voice/neural_speech.yaml @@ -32,7 +32,7 @@ tags: - name: "v0.1.0" description: "Published Date - sep 31, 2022" paths: - /microservices/voice/nueralspeech/v0/getpredictions: + /microservices/voice/nse/v0/getpredictions: post: tags: - v0.1.0 From e2f010207ccce94f02e843d188d713b32579c177 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 12:27:05 +0530 Subject: [PATCH 5293/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index af9c15796..2fd3da54c 100644 --- a/index.yaml +++ b/index.yaml @@ -96,6 +96,10 @@ voice: title: ASR EN Unified versions: 1.0.0: 'asr_en_unified.yaml' + neural_speech: + title: Neural Speech Enhancement (NSE) + versions: + 0.1.0: 'neural_speech.yaml' speaker_emotion_recognition: title: Speaker Emotion Recognition versions: From 2d515cba45c2a7b9ef37405f16122b3178a7a01e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 6 Sep 2022 14:23:01 +0530 Subject: [PATCH 5294/5916] Update neural_speech.yaml --- voice/neural_speech.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/neural_speech.yaml b/voice/neural_speech.yaml index e433b3c2d..9d7cb892d 100644 --- a/voice/neural_speech.yaml +++ b/voice/neural_speech.yaml @@ -44,8 +44,7 @@ paths: schema: $ref: '#/components/schemas/success' example: - results: - sampling_rate: 22050 + results: wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... message: Successfully Processed status: Success From 8a84fa6c1477888c52179ad5929082b93cbaaf13 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 7 Sep 2022 09:49:09 +0530 Subject: [PATCH 5295/5916] array multipart fix --- analytics/recommendation_engine.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index b8ed00d8b..81811019a 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -934,8 +934,8 @@ components: properties: description: "The value must be array of item properties" default: false - type: object - example: ["pagetile","description","pageurl"] + type: string + example: '["pagetile","description","pageurl"]' retraineventinput: type: object required: From 47703fa746837c9cfd4c118e2e5626c49a23d46d Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 9 Sep 2022 09:39:27 +0530 Subject: [PATCH 5296/5916] Update few_shots_object_detection.yaml --- .../few_shots_object_detection.yaml | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index c49849da3..bfca2a725 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -6,11 +6,19 @@ info: The object class is defined by the user with a set of support images. Each support image should be tightly cropped to the relevant part of the objects. E.g. To detect car tyres, cropped away other parts of the car; with only the tyre visible.
The size of your image file **should not exceed 5 MB**. x-additionalinfo: |+ - To improve object detection accuracy: - - - ensure that the support images are of the same orientation as how it should appear in the query image

- - crop out all unnecessary elements (such as a busy background) from the support images

- - ensure that the support images are variations of the same object, and not images of multiple (different) objects. + For best results, try to adhere to the ideal characteristics for each image type:
+ *Query Image*
+ - High definition + - 300x300 image size + - Instance in the foreground and proportionally big + - 8 instance in an image + - Instances are spread out within same image
+ *Support Image*
+ - White Background + - Tightly cropped + - Single Instance + - 3 - 5 images, more varied for items with variation + - Pure outline for simple image version: v0.1.1 x-subscribelink: few_shots_object_detection x-apitype: small file From 7e6cfd3b9f8fbb877d0f1b95191d71cf33af5f0a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 9 Sep 2022 09:40:58 +0530 Subject: [PATCH 5297/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index bfca2a725..2f9628020 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -12,7 +12,8 @@ info: - 300x300 image size - Instance in the foreground and proportionally big - 8 instance in an image - - Instances are spread out within same image
+ - Instances are spread out within same image

+ *Support Image*
- White Background - Tightly cropped From 454e149dec29019d924147204a903eab5f189317 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 9 Sep 2022 09:42:34 +0530 Subject: [PATCH 5298/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 2f9628020..2c6de5530 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -7,14 +7,14 @@ info: The size of your image file **should not exceed 5 MB**. x-additionalinfo: |+ For best results, try to adhere to the ideal characteristics for each image type:
- *Query Image*
+ Query Image
- High definition - 300x300 image size - Instance in the foreground and proportionally big - 8 instance in an image - Instances are spread out within same image

- *Support Image*
+ Support Image
- White Background - Tightly cropped - Single Instance From 9737a98ead46f18ef11c2b86281f944156d5b68d Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 9 Sep 2022 13:37:11 +0800 Subject: [PATCH 5299/5916] TTS yaml modified with new input param show_normalise --- voice/text-to-speech_eng.yaml | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 7fb450505..efea0622f 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -33,7 +33,7 @@ info: x-apidetailsdesc: |+ Converts English text to speech in a female voice. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.4.0" description: "Published Date - Aug 30, 2022" @@ -137,6 +137,10 @@ components: example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ type: string format: byte + normalisedtext: + description: Normalised text + example: I want a credit card. + type: string message: type: string @@ -353,6 +357,13 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. + normalisedtext: + x-name: normalisedtext + type: string + default: False + example: I want a credit card. + description: |+ + Normalised text securitySchemes: APIAuthorizer: type: apiKey From f6a7b3fe13d0beb76671ad02ea708e9b2ad9b1b1 Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 9 Sep 2022 13:38:41 +0800 Subject: [PATCH 5300/5916] TTS yaml modified with new input param show_normalise --- voice/text-to-speech_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index efea0622f..eac908a1f 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -357,8 +357,8 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. - normalisedtext: - x-name: normalisedtext + show_normalized_output: + x-name: show_normalized_output type: string default: False example: I want a credit card. From 8350bd494c1e9ecd1def16445f88860ec9b1975f Mon Sep 17 00:00:00 2001 From: divya Date: Fri, 9 Sep 2022 13:40:18 +0800 Subject: [PATCH 5301/5916] TTS yaml modified with new input param show_normalise --- voice/text-to-speech_eng.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index eac908a1f..b8bd2bba3 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -359,9 +359,9 @@ components: **used only for the female_singaporean model. show_normalized_output: x-name: show_normalized_output - type: string + type: boolean default: False - example: I want a credit card. + example: False description: |+ Normalised text securitySchemes: From 7ccf52d0dc57e2212b43914d1375be30b1e95e9b Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 9 Sep 2022 13:22:37 +0530 Subject: [PATCH 5302/5916] Update few_shots_object_detection.yaml --- computer_vision/few_shots_object_detection.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 2c6de5530..8f549b756 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -9,9 +9,9 @@ info: For best results, try to adhere to the ideal characteristics for each image type:
Query Image
- High definition - - 300x300 image size + - Image size of > 300 x 300 pixels - Instance in the foreground and proportionally big - - 8 instance in an image + - Lesser than 8 object instances per image - Instances are spread out within same image

Support Image
From bb4ad2f403559000f6be616b38eaeea809a2ee85 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Sep 2022 15:11:44 +0530 Subject: [PATCH 5303/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index 22851eff7..a0c063ffa 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -21,10 +21,10 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://dev-ms-apis.huawei.sentient.io' + - url: 'https://ms-apis.huawei.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Aug 17, 2022" + description: "Published Date - Sep 09, 2022" paths: /microservices/voice/asrenunified/v1/get_transcript: post: @@ -239,7 +239,7 @@ components: items: oneOf: - type: string - example: Published Date - Aug 17, 2022 + example: Published Date - Sep 09, 2022 x-details: Major release description: Input Parameter Changed to wav_base64 String v0.2.0: From 15480d969bf33434f0000ac5ce4b615dd5df0d03 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 12 Sep 2022 09:31:35 +0530 Subject: [PATCH 5304/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index a2ad5158b..a801db59d 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -2,8 +2,7 @@ openapi: 3.0.1 info: title: Speaker Emotion Recognition description: |+ - This Voice microservice takes in an audio file and tags the output by 7 emotions: angry, disgust, sad, fear, happy, surprise and neutral. -The length of your audio file **should not exceed 50 seconds**. + This Voice microservice takes in an audio file and tags the output by 7 emotions: angry, disgust, sad, fear, happy, surprise and neutral. The length of your audio file **should not exceed 50 seconds**. version: '0.2.0' x-apitype: small file x-subscribelink: speaker_emotion_recognition From 023fba7328306af87e3fa14f893892c09e81e745 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 12 Sep 2022 09:32:40 +0530 Subject: [PATCH 5305/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index a801db59d..fbc00c7fe 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -2,7 +2,8 @@ openapi: 3.0.1 info: title: Speaker Emotion Recognition description: |+ - This Voice microservice takes in an audio file and tags the output by 7 emotions: angry, disgust, sad, fear, happy, surprise and neutral. The length of your audio file **should not exceed 50 seconds**. + This Voice microservice takes in an audio file and tags the output by 7 emotions: angry, disgust, sad, fear, happy, surprise and neutral. + The length of your audio file **should not exceed 50 seconds**. version: '0.2.0' x-apitype: small file x-subscribelink: speaker_emotion_recognition From d0433ac3d4e4084af8fcdbb27c53410cb92fe49f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 12 Sep 2022 09:51:53 +0530 Subject: [PATCH 5306/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index fbc00c7fe..0dd6a2383 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -10,13 +10,13 @@ info: x-apitypedescription: |+ Fast | Single-Call | 50 sec/Call x-inputfilelimit: |+ - Process up to 50 seconds (1 minute) of audio file. + Process up to 50 seconds of audio file. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 50 seconds (1 minute). + Limit cannot exceed 50 seconds. x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: From 9268328b3bb074fa7feee588c0368b457d82ef33 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 12 Sep 2022 10:02:03 +0530 Subject: [PATCH 5307/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 0dd6a2383..04ffe8935 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -2,7 +2,7 @@ openapi: 3.0.1 info: title: Speaker Emotion Recognition description: |+ - This Voice microservice takes in an audio file and tags the output by 7 emotions: angry, disgust, sad, fear, happy, surprise and neutral. + This Voice microservice takes in an audio file and tags the output by 7 emotions: angry, disgust, sad, fear, happy, surprise and neutral.
The length of your audio file **should not exceed 50 seconds**. version: '0.2.0' x-apitype: small file From d26067d76f03e8f78c889d0907e9f34b8d4eee9f Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 12 Sep 2022 10:24:27 +0530 Subject: [PATCH 5308/5916] desc update --- computer_vision/thumbnail_generation.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation.yaml b/computer_vision/thumbnail_generation.yaml index b422e0e6f..630adc269 100644 --- a/computer_vision/thumbnail_generation.yaml +++ b/computer_vision/thumbnail_generation.yaml @@ -3,7 +3,7 @@ info: title: Thumbnail Generation description: |+ This Computer Vision microservice automatically selects appropriate frames as thumbnails representative of an input video. Thumbnails are selected based on visual quality and aesthetics (e.g. no dark, blurry or transitioning frames) and relevance to the video content based on clustering analysis.
- The size of your video file should not exceed 10MB + The size of your video file **should not exceed 10 MB** version: v0.1.1 x-additionalinfo: |+ Video filetypes accepted are 'mp4', 'avi', 'mpeg', 'm4v', 'mov', 'webm' From 6ae54a0759e026b6fec4d1e12af48f7d383b37b0 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 12 Sep 2022 10:34:21 +0530 Subject: [PATCH 5309/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index a1c1f0a45..182904aa0 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -3,7 +3,7 @@ info: title: Fleet Routing Engine description: |+ This set of Analytics microservices are responsible for handling vehicle route scheduling. There are limitations on the payload that can be posted to the -API, which are:
+ API, which are:
1. The number of maximum jobs is 60. 2. The number of unique end customer is 50. 3. The number of vehicles in the fleet is 15. From 75709e17ee86186965f57d0da7e972b3a5a24012 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 12 Sep 2022 10:39:08 +0530 Subject: [PATCH 5310/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 182904aa0..7b6f25c3a 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -4,9 +4,10 @@ info: description: |+ This set of Analytics microservices are responsible for handling vehicle route scheduling. There are limitations on the payload that can be posted to the API, which are:
- 1. The number of maximum jobs is 60. - 2. The number of unique end customer is 50. - 3. The number of vehicles in the fleet is 15. + + 1. The number of maximum jobs is 60. + 2. The number of unique end customer is 50. + 3. The number of vehicles in the fleet is 15. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. From 2f003ef63b42f7882dd6d371b2ec2e3b5dd81602 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 12 Sep 2022 10:40:01 +0530 Subject: [PATCH 5311/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 7b6f25c3a..9821f5c43 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -3,7 +3,7 @@ info: title: Fleet Routing Engine description: |+ This set of Analytics microservices are responsible for handling vehicle route scheduling. There are limitations on the payload that can be posted to the - API, which are:
+ API, which are:

1. The number of maximum jobs is 60. 2. The number of unique end customer is 50. From 71495212722bf2192deb5db16ca11583b715bf4a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Mon, 12 Sep 2022 10:50:14 +0530 Subject: [PATCH 5312/5916] Update fleet_routing_engine.yaml --- analytics/fleet_routing_engine.yaml | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/analytics/fleet_routing_engine.yaml b/analytics/fleet_routing_engine.yaml index 9821f5c43..16d9d718d 100644 --- a/analytics/fleet_routing_engine.yaml +++ b/analytics/fleet_routing_engine.yaml @@ -3,11 +3,10 @@ info: title: Fleet Routing Engine description: |+ This set of Analytics microservices are responsible for handling vehicle route scheduling. There are limitations on the payload that can be posted to the - API, which are:

- - 1. The number of maximum jobs is 60. - 2. The number of unique end customer is 50. - 3. The number of vehicles in the fleet is 15. + API, which are:
+     1. The number of maximum jobs is 60. +     2. The number of unique end customer is 50. +     3. The number of vehicles in the fleet is 15. version: '0.1.0' x-additionalinfo: |+ - This microservice consists of set of REST APIs to pre-process various data like customer, job data and travel matrix before the user can call the Fleet Routing Engine. From e64c93259d6d97d89771c8b2f4ba769dcc9707af Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 12:22:33 +0530 Subject: [PATCH 5313/5916] Update neural_speech.yaml --- voice/neural_speech.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/neural_speech.yaml b/voice/neural_speech.yaml index 9d7cb892d..077d367dc 100644 --- a/voice/neural_speech.yaml +++ b/voice/neural_speech.yaml @@ -30,7 +30,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - sep 31, 2022" + description: "Published Date - sep 12, 2022" paths: /microservices/voice/nse/v0/getpredictions: post: @@ -224,7 +224,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Sep 31,2022' + example: 'Published Date - Sep 12,2022' x-details: Initial version release description: Latest Version input: From 1d47dcf47389feecfff42238ef67f92e6f1ffe0f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 12:30:20 +0530 Subject: [PATCH 5314/5916] Rename neural_speech.yaml to neural_speech_enhancement.yaml --- voice/{neural_speech.yaml => neural_speech_enhancement.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename voice/{neural_speech.yaml => neural_speech_enhancement.yaml} (100%) diff --git a/voice/neural_speech.yaml b/voice/neural_speech_enhancement.yaml similarity index 100% rename from voice/neural_speech.yaml rename to voice/neural_speech_enhancement.yaml From 8665d263188b60830ea8efd89232cfd119475e1c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 12:31:19 +0530 Subject: [PATCH 5315/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 2fd3da54c..edd5d8372 100644 --- a/index.yaml +++ b/index.yaml @@ -96,10 +96,10 @@ voice: title: ASR EN Unified versions: 1.0.0: 'asr_en_unified.yaml' - neural_speech: + neural_speech_enhancement: title: Neural Speech Enhancement (NSE) versions: - 0.1.0: 'neural_speech.yaml' + 0.1.0: 'neural_speech_enhancement.yaml' speaker_emotion_recognition: title: Speaker Emotion Recognition versions: From 5d660a70e59cb7522f622554219c82e9cc9f2ac1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 12:37:57 +0530 Subject: [PATCH 5316/5916] Update neural_speech_enhancement.yaml --- voice/neural_speech_enhancement.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/neural_speech_enhancement.yaml b/voice/neural_speech_enhancement.yaml index 077d367dc..afad0b6b6 100644 --- a/voice/neural_speech_enhancement.yaml +++ b/voice/neural_speech_enhancement.yaml @@ -30,7 +30,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - sep 12, 2022" + description: "Published Date - Sep 12, 2022" paths: /microservices/voice/nse/v0/getpredictions: post: From f4b76f57b17af58b693a424a5e16f803d74d1784 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 14:38:02 +0530 Subject: [PATCH 5317/5916] Update hdb_building_outlines.yaml --- data/hdb_building_outlines.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/data/hdb_building_outlines.yaml b/data/hdb_building_outlines.yaml index c4e7d596d..dc619641c 100644 --- a/data/hdb_building_outlines.yaml +++ b/data/hdb_building_outlines.yaml @@ -43,10 +43,6 @@ info: > {"bool":{"must_not":[{"match":{"type": "existing"}}]}} > {"bool":{"must":[{"match":{"type": "existing"}}]}} > {"bool":{"should":[{"match":{"type": "existing"}}]}} - - - **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. - > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ @@ -110,7 +106,6 @@ paths: total: relation: eq value: 10000 - scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== status: Success '401': From 502413635cbdc3b312ecf1f823165ad3970b29d6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 14:38:25 +0530 Subject: [PATCH 5318/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index 3ae6f7990..262a7a123 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -43,10 +43,6 @@ info: > {"bool":{"must_not":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"must":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} > {"bool":{"should":[{"match":{"properties.quality":"FULLY VISIBLE"}}]}} - - - **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. - > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ @@ -110,7 +106,6 @@ paths: total: relation: eq value: 2828 - scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== status: Success '401': From 8d8cf4f7bfd788d18ea6649ba40a7db527f0abd2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 14:38:46 +0530 Subject: [PATCH 5319/5916] Update hdb_land_ownership.yaml --- data/hdb_land_ownership.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml index e73c587a8..13cac8cdf 100644 --- a/data/hdb_land_ownership.yaml +++ b/data/hdb_land_ownership.yaml @@ -43,10 +43,6 @@ info: > {"bool":{"must_not":[{"match":{"properties.parcel_registration_boundary":"TGA"}}]}} > {"bool":{"must":[{"match":{"properties.parcel_registration_boundary":"TGA"}}]}} > {"bool":{"should":[{"match":{"properties.parcel_registration_boundary":"TGA"}}]}} - - - **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. - > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ @@ -108,7 +104,6 @@ paths: total: relation: eq value: 1972 - scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== status: Success '401': From ad89805f398c35e441b5f399578d5ba8a88073d5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 14:39:06 +0530 Subject: [PATCH 5320/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index 2a0a7f166..907e54f4a 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -47,10 +47,6 @@ info: > {"bool":{"must_not":[{"match":{"type": "existing"}}]}} > {"bool":{"must":[{"match":{"type": "existing"}}]}} > {"bool":{"should":[{"match":{"type": "existing"}}]}} - - - **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. - > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ @@ -115,7 +111,6 @@ paths: total: relation: eq value: 2854 - scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== status: Success '401': From b97c511514be8b5ecf0c8f45025313aaf5be8d27 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 14:39:25 +0530 Subject: [PATCH 5321/5916] Update hdb_town_estates.yaml --- data/hdb_town_estates.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/data/hdb_town_estates.yaml b/data/hdb_town_estates.yaml index 5c42630a8..4417242cc 100644 --- a/data/hdb_town_estates.yaml +++ b/data/hdb_town_estates.yaml @@ -43,10 +43,6 @@ info: > {"bool":{"must_not":[{"match":{"properties.nme_bndry": "YISHUN"}}]}} > {"bool":{"must":[{"match":{"properties.nme_bndry": "YISHUN"}}]}} > {"bool":{"should":[{"match":{"properties.nme_bndry": "YISHUN"}}]}} - - - **Pagination with scroll_id:** - We face a major issue of handling the hits, i.e., whenever the hits returned are more than 10,000 hits Elasticsearch will only return till 10k hits. For query more than 10K records scroll id need to add in query as like below. - > {"limit":10000,"scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAAwsWZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ==","filter":[]} version: '0.1.0' x-apitype: small file x-apitypedescription: |+ @@ -107,7 +103,6 @@ paths: total: relation: eq value: 2 - scroll_id: FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCAWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCEWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCIWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCMWdjVWcXJXaVhRaXVaQzBma19JckthdxZBUDF4Mkk3alJqV3ZRSU02ZWtNNmtnAAAAAAAABCQWdjVWcXJXaVhRaXVaQzBma19Jckthdw== status: Success '401': From 253ae603de40a48c75c1ad43211722b7c0b28f12 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 15:18:24 +0530 Subject: [PATCH 5322/5916] Update hdb_building_outlines.yaml --- data/hdb_building_outlines.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/data/hdb_building_outlines.yaml b/data/hdb_building_outlines.yaml index dc619641c..ce08c5c87 100644 --- a/data/hdb_building_outlines.yaml +++ b/data/hdb_building_outlines.yaml @@ -182,11 +182,7 @@ components: status: type: string example: Success - description: The status of the API call - Success/Failure. - scroll_id: - type: string - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Pagination id + description: The status of the API call - Success/Failure. results: type: object example: {} From cbac479f8187643ccc7af41518d1aa3e386e5e40 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 15:18:51 +0530 Subject: [PATCH 5323/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index 262a7a123..ecab4983d 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -183,10 +183,6 @@ components: type: string example: Success description: The status of the API call - Success/Failure. - scroll_id: - type: string - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Pagination id results: type: object example: {} From ebf43f36dae6cc6f8dbf4420accf95c0f3c2c1cc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 15:19:11 +0530 Subject: [PATCH 5324/5916] Update hdb_land_ownership.yaml --- data/hdb_land_ownership.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml index 13cac8cdf..3844e1e76 100644 --- a/data/hdb_land_ownership.yaml +++ b/data/hdb_land_ownership.yaml @@ -180,11 +180,7 @@ components: status: type: string example: Success - description: The status of the API call - Success/Failure. - scroll_id: - type: string - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Pagination id + description: The status of the API call - Success/Failure. results: type: object example: {} From f45fecf292fbff6af9624e6e5ae398ebb5c619be Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 15:19:28 +0530 Subject: [PATCH 5325/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index 907e54f4a..a8de33868 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -188,10 +188,6 @@ components: type: string example: Success description: The status of the API call - Success/Failure. - scroll_id: - type: string - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Pagination id results: type: object example: {} From 08dd5766c771cf2aa28486ccaaae909c5b679d33 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 12 Sep 2022 15:19:40 +0530 Subject: [PATCH 5326/5916] Update hdb_town_estates.yaml --- data/hdb_town_estates.yaml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/data/hdb_town_estates.yaml b/data/hdb_town_estates.yaml index 4417242cc..a10a5227e 100644 --- a/data/hdb_town_estates.yaml +++ b/data/hdb_town_estates.yaml @@ -180,10 +180,6 @@ components: type: string example: Success description: The status of the API call - Success/Failure. - scroll_id: - type: string - example: DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAADZ0WZmRaTFNoaWhTOS0zcHl1Sm9MTEJ4UQ== - description: Pagination id results: type: object example: {} From f7fb74ec5aee7179b153958cce99cdc378439b06 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 09:49:49 +0530 Subject: [PATCH 5327/5916] Update index.yaml --- index.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index edd5d8372..b076717f1 100644 --- a/index.yaml +++ b/index.yaml @@ -96,10 +96,10 @@ voice: title: ASR EN Unified versions: 1.0.0: 'asr_en_unified.yaml' - neural_speech_enhancement: - title: Neural Speech Enhancement (NSE) + speech_enhancement: + title: Speech Enhancement versions: - 0.1.0: 'neural_speech_enhancement.yaml' + 0.1.0: 'speech_enhancement.yaml' speaker_emotion_recognition: title: Speaker Emotion Recognition versions: From 3b88d7b116f78c5a818411ce13344442280f0e96 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 09:50:48 +0530 Subject: [PATCH 5328/5916] Update and rename neural_speech_enhancement.yaml to speech_enhancement.yaml --- ...ural_speech_enhancement.yaml => speech_enhancement.yaml} | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) rename voice/{neural_speech_enhancement.yaml => speech_enhancement.yaml} (97%) diff --git a/voice/neural_speech_enhancement.yaml b/voice/speech_enhancement.yaml similarity index 97% rename from voice/neural_speech_enhancement.yaml rename to voice/speech_enhancement.yaml index afad0b6b6..de22bfc75 100644 --- a/voice/neural_speech_enhancement.yaml +++ b/voice/speech_enhancement.yaml @@ -1,18 +1,18 @@ openapi: 3.0.1 info: - title: Neural Speech Enhancement (NSE) + title: Speech Enhancement description: |+ Enhance speech signal by removing background noise.
Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus NSE can be a useful microservice for many applications.
+ Thus speech enchancement can be a useful microservice for many applications.
The length of your audio **should not exceed 180 seconds**. x-additionalinfo : |+ Suggested Use Cases: - Supports the following audio coding formats: WAV files and 16-bit mono.

- Supports the following audio sampling rates: 16,000 Hz.

version: 1.4.0 - x-subscribelink: nueral_speech_enhancement + x-subscribelink: speech_enhancement x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 180sec/Call From 60430dc44d6b9e17c7100a1dcb0f412c17ec7dcc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 10:00:27 +0530 Subject: [PATCH 5329/5916] Update speech_enhancement.yaml --- voice/speech_enhancement.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speech_enhancement.yaml b/voice/speech_enhancement.yaml index de22bfc75..b4f23ff8b 100644 --- a/voice/speech_enhancement.yaml +++ b/voice/speech_enhancement.yaml @@ -32,7 +32,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 12, 2022" paths: - /microservices/voice/nse/v0/getpredictions: + /microservices/voice/speech_enchancement/v0/getpredictions: post: tags: - v0.1.0 From ebff554f2b70cceb5559128eaba7440e175ccc4a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 15:45:04 +0530 Subject: [PATCH 5330/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 0dc78e99d..99f41db88 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -285,7 +285,7 @@ components: - type: string example: Published Date - Feb 18, 2022 x-details: Upgrading with Samplerate, Encoding etc.. - description: Old Version + description: Archived v1.0.0: type: array items: From 13e715599dfa5c95b57fce2fef2d8b6476c1f8cf Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 15:46:00 +0530 Subject: [PATCH 5331/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index e27aa0e6e..ad6bdb14f 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -423,7 +423,7 @@ components: - type: string example: Published Date - Jul 08, 2022 x-details: Output Parameters Aligned - description: Old Version + description: Archived v0.1.1: type: array items: From 9f739742b7626895c60159ea713bc5e8d439d557 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 15:48:58 +0530 Subject: [PATCH 5332/5916] Update and rename hdb_upgrade_programme.yaml to hdb_upgrading_programmes.yaml --- ...hdb_upgrade_programme.yaml => hdb_upgrading_programmes.yaml} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename data/{hdb_upgrade_programme.yaml => hdb_upgrading_programmes.yaml} (99%) diff --git a/data/hdb_upgrade_programme.yaml b/data/hdb_upgrading_programmes.yaml similarity index 99% rename from data/hdb_upgrade_programme.yaml rename to data/hdb_upgrading_programmes.yaml index 8bc11dc13..f9886e66e 100644 --- a/data/hdb_upgrade_programme.yaml +++ b/data/hdb_upgrading_programmes.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: HDB Upgrade Programme (SG) + title: HDB Upgrading Programmes (SG) x-subscribelink: commercial_directories_hdb_sg description: |+ This Data microservice retrieves information on Housing Development Board (HDB) Upgrading and Estate Renewal Programmes in Singapore which includes: From 0fc6f58e071efc6a05bfdd97ab854fe55475bbcf Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 15:49:41 +0530 Subject: [PATCH 5333/5916] Update index.yaml --- index.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/index.yaml b/index.yaml index b076717f1..4ed51cd60 100644 --- a/index.yaml +++ b/index.yaml @@ -359,10 +359,10 @@ data: title: HDB Commercial Directories (SG) versions: 1.0.1: 'commercial_directories_hdb_sg.yaml' - hdb_upgrade_programme: - title: HDB Upgrade Programme (SG) + hdb_upgrading_programmes: + title: HDB Upgrading Programmes (SG) versions: - 0.1.0: 'hdb_upgrade_programme.yaml' + 0.1.0: 'hdb_upgrading_programmes.yaml' hdb_covered_linkways: title: HDB Covered Linkways (SG) versions: From 2bdbbd179a92f3830164848a45826c7badb58905 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 15:58:12 +0530 Subject: [PATCH 5334/5916] Update hdb_upgrading_programmes.yaml --- data/hdb_upgrading_programmes.yaml | 31 ++++++++++++++++++------------ 1 file changed, 19 insertions(+), 12 deletions(-) diff --git a/data/hdb_upgrading_programmes.yaml b/data/hdb_upgrading_programmes.yaml index f9886e66e..42b5ccd70 100644 --- a/data/hdb_upgrading_programmes.yaml +++ b/data/hdb_upgrading_programmes.yaml @@ -3,20 +3,27 @@ info: title: HDB Upgrading Programmes (SG) x-subscribelink: commercial_directories_hdb_sg description: |+ - This Data microservice retrieves information on Housing Development Board (HDB) Upgrading and Estate Renewal Programmes in Singapore which includes: - - Lift Upgrading Programme - - Home Improvement Programme - - Neighbourhood Renewal Programme - - Interim Upgrading Programme or Interim Upgrading Programme Plus - - Main Upgrading Programme - - Selective En bloc Redevelopment Scheme
- - Information on update programmes are announcement date, completion date, name of upgrading programme, latest status, precinct name/code, block, street, postal code, latitude and longitude - coordinates. The information is updated quaterly. A successful call will return the results of the query in JSON format.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH Programme.

+ This Data microservice retrieves information on HDB Upgrading and Estate Renewal Programmes which includes: + - Lift Upgrading Programme + - Home Improvement Programme + - Neighbourhood Renewal Programme + - Interim Upgrading Programme or Interim Upgrading Programme Plus + - Main Upgrading Programme + - Selective En bloc Redevelopment Scheme

+ + Additional information on these programmes include: + - Announcement date + - Completion date + - Name of upgrading programme + - Latest status + - Precinct name/code

+ + Information is updated quarterly. A successful call will return the results of the query in JSON format.

+ + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme."

- **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). + **Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). x-additionalinfo : |+ Suggested Use Cases: From 14e4293dcdc9133373f91697fbc3578d855528df Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 15:59:23 +0530 Subject: [PATCH 5335/5916] Update hdb_upgrading_programmes.yaml --- data/hdb_upgrading_programmes.yaml | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/data/hdb_upgrading_programmes.yaml b/data/hdb_upgrading_programmes.yaml index 42b5ccd70..dde1bd55e 100644 --- a/data/hdb_upgrading_programmes.yaml +++ b/data/hdb_upgrading_programmes.yaml @@ -9,19 +9,18 @@ info: - Neighbourhood Renewal Programme - Interim Upgrading Programme or Interim Upgrading Programme Plus - Main Upgrading Programme - - Selective En bloc Redevelopment Scheme

+ - Selective En bloc Redevelopment Scheme
Additional information on these programmes include: - Announcement date - Completion date - Name of upgrading programme - Latest status - - Precinct name/code

+ - Precinct name/code
- Information is updated quarterly. A successful call will return the results of the query in JSON format.

+ Information is updated quarterly. A successful call will return the results of the query in JSON format.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme."

- + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme."
**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). From 149c9945b045042589dc723aea8ed5931465019a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 14 Sep 2022 16:01:21 +0530 Subject: [PATCH 5336/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index 8e5e80205..b0ccd75a5 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -1412,6 +1412,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '419': description: Input Field Missing content: From 63908c5b782f50a3a14b0d3f82ba51a59e4b71f0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 14 Sep 2022 16:02:15 +0530 Subject: [PATCH 5337/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index 785f2677c..b884e7784 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -61,6 +61,12 @@ paths: application/json: schema: $ref: '#/components/schemas/notfound' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' '419': description: Input Field Missing content: From 0631a3209de1ce087c2fe1daead6307a43b498e8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 14 Sep 2022 16:03:47 +0530 Subject: [PATCH 5338/5916] Update hdb_upgrading_programmes.yaml --- data/hdb_upgrading_programmes.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_upgrading_programmes.yaml b/data/hdb_upgrading_programmes.yaml index dde1bd55e..4bea3ff6e 100644 --- a/data/hdb_upgrading_programmes.yaml +++ b/data/hdb_upgrading_programmes.yaml @@ -20,7 +20,7 @@ info: Information is updated quarterly. A successful call will return the results of the query in JSON format.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme."
+ The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme."

**Note:** As this microservice uses the GET method, developers using this microservice must remember to have their app encode all the input values to be URL friendly (i.e. all spaces and special characters must be replaced). Here’s a reference on [URL encoding](https://www.w3schools.com/tags/ref_urlencode.ASP). From 36d22335d64106a270b2b1919b5862b17d4102db Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 15 Sep 2022 10:43:27 +0800 Subject: [PATCH 5339/5916] tts doc modified --- voice/text-to-speech_eng.yaml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index b8bd2bba3..3ed7c5fb9 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -357,6 +357,13 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. + text_normalization + x-name: text_normalization + type: array + default: ["DEFAULT"] + example: ["DEFAULT"] + description: |+ + Flags for text normalisation show_normalized_output: x-name: show_normalized_output type: boolean From b9b638c7ace93133d365047de78c18f168ba3e7a Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 15 Sep 2022 10:44:32 +0800 Subject: [PATCH 5340/5916] tts doc modified --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 3ed7c5fb9..39c86cded 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -357,7 +357,7 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. - text_normalization + text_normalization: x-name: text_normalization type: array default: ["DEFAULT"] From 4c71fb96d6f2bbe6bf9c66af63073e87795e1277 Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 15 Sep 2022 10:50:09 +0800 Subject: [PATCH 5341/5916] tts doc modified --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 39c86cded..78a0f7a68 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -360,7 +360,7 @@ components: text_normalization: x-name: text_normalization type: array - default: ["DEFAULT"] + default: False example: ["DEFAULT"] description: |+ Flags for text normalisation From a26aabf9e8c764ee893b3a059214695cbc8030ee Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 15 Sep 2022 10:52:01 +0800 Subject: [PATCH 5342/5916] tts doc modified --- voice/text-to-speech_eng.yaml | 7 ------- 1 file changed, 7 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 78a0f7a68..b8bd2bba3 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -357,13 +357,6 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. - text_normalization: - x-name: text_normalization - type: array - default: False - example: ["DEFAULT"] - description: |+ - Flags for text normalisation show_normalized_output: x-name: show_normalized_output type: boolean From aacd04bba41a9016feed0f169c51ffcef3d32a61 Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 15 Sep 2022 11:01:24 +0800 Subject: [PATCH 5343/5916] tts doc modified --- computer_vision/few_shots_object_detection.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 8f549b756..3ec2faaeb 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -281,13 +281,13 @@ components: description: |+ Optional. The file format of the input image. Optional parameter with default value as jpeg. - increase_sensitivity: - x-name: increase_sensitivity + text_normalization: + x-name: text_normalization type: array default: false - example: ["all"] + example: ["DEFAULT"] description: |+ - Optional. Enhancement to apply to the image. The valid list of enhancements available are: 'color', 'scale', 'all', 'none'. Note: all implies= both color + scale and it's ideal to pass just one enhancement. + "Flags for text normalisation" securitySchemes: APIAuthorizer: type: apiKey From 3f8ab62f4189781352da1e3fbd616fbb287daaab Mon Sep 17 00:00:00 2001 From: divya Date: Thu, 15 Sep 2022 11:04:52 +0800 Subject: [PATCH 5344/5916] tts doc modified --- computer_vision/few_shots_object_detection.yaml | 8 ++++---- voice/text-to-speech_eng.yaml | 7 +++++++ 2 files changed, 11 insertions(+), 4 deletions(-) diff --git a/computer_vision/few_shots_object_detection.yaml b/computer_vision/few_shots_object_detection.yaml index 3ec2faaeb..8f549b756 100644 --- a/computer_vision/few_shots_object_detection.yaml +++ b/computer_vision/few_shots_object_detection.yaml @@ -281,13 +281,13 @@ components: description: |+ Optional. The file format of the input image. Optional parameter with default value as jpeg. - text_normalization: - x-name: text_normalization + increase_sensitivity: + x-name: increase_sensitivity type: array default: false - example: ["DEFAULT"] + example: ["all"] description: |+ - "Flags for text normalisation" + Optional. Enhancement to apply to the image. The valid list of enhancements available are: 'color', 'scale', 'all', 'none'. Note: all implies= both color + scale and it's ideal to pass just one enhancement. securitySchemes: APIAuthorizer: type: apiKey diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index b8bd2bba3..84b66c5b0 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -364,6 +364,13 @@ components: example: False description: |+ Normalised text + text_normalization: + x-name: text_normalization + type: array + default: false + example: ["DEFAULT"] + description: |+ + "Flags for text normalisation" securitySchemes: APIAuthorizer: type: apiKey From cd403b0ae32dd5227044ad323bf864b0bc012bd0 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 15 Sep 2022 09:16:48 +0530 Subject: [PATCH 5345/5916] Update hdb_upgrading_programmes.yaml --- data/hdb_upgrading_programmes.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_upgrading_programmes.yaml b/data/hdb_upgrading_programmes.yaml index 4bea3ff6e..fe575f098 100644 --- a/data/hdb_upgrading_programmes.yaml +++ b/data/hdb_upgrading_programmes.yaml @@ -114,7 +114,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 01, 2022" + description: "Published Date - Sep 15, 2022" paths: /microservices/data/hdb_upgrade_programme/v0/getdata: post: @@ -448,7 +448,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 24, 2020 + example: Published Date - Sep 15, 2022 x-details: Initial version release description: Latest Version input: From 85f54fcc2a75a80e2b591107688ac9d668a3e5b8 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 16 Sep 2022 08:59:36 +0530 Subject: [PATCH 5346/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index e9c1f352f..942106eb0 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -13,7 +13,7 @@ info: `GPT-J 6B` is a transformer model trained using Ben Wang's Mesh Transformer JAX and is considered as an 6B parameter open-source version of `GPT-3`. `GPT-J` refers to the class of model, while `6B` represents the number of trainable parameters.

- Do ensure you **token_length limit is within 100**. + Do ensure you **token_length limit is within 200**. version: v0.1.0 x-additionalinfo: |+ Suitable input text(also know as prompt) for generating Text for various use cases can be found below:

@@ -260,7 +260,7 @@ components: x-name: num_beams type: number default: False - example: 5 + example: 2 description: |+ This parameter will determine how many nodes to search at each level. From d9f6ba48154c5d508c323c3b5edc5ffdadba8a94 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:01:05 +0530 Subject: [PATCH 5347/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 13 +++---------- 1 file changed, 3 insertions(+), 10 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 942106eb0..3c8f188ed 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -1,17 +1,10 @@ openapi: 3.0.1 info: - title: Text Generation using GPT-J 6B + title: GPT-J 6B Text Generator description: |+ - This microservice is used for text generation using a [language model](https://en.wikipedia.org/wiki/Language_model) with GPT-J 6B model.
- A language model predicts what is the next words based on probabilities. For example given an:
- **input text like**: "Hello my name is Lee Hsien Loong and I am" - **generated output**: "Hello my name is Lee Hsien Loong and I am the Prime Minister of the Republic of Singapore.\n\nI would like to talk to you today about the importance of education"
- You can use these models for code-generation, calculating arithmetic, language translation etc.

+ This NLP microservice is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. - **About the model**
- - `GPT-J 6B` is a transformer model trained using Ben Wang's Mesh Transformer JAX and is considered as an 6B parameter open-source version of `GPT-3`. - `GPT-J` refers to the class of model, while `6B` represents the number of trainable parameters.

+ The model is currently trained using English language only. Do ensure you **token_length limit is within 200**. version: v0.1.0 From 47580940d3322f9eb9a82d6a92359111ed370e6f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:25:04 +0530 Subject: [PATCH 5348/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index ecab4983d..4335406e5 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -3,11 +3,13 @@ info: title: HDB Covered Linkway (SG) x-subscribelink: hdb_covered_linkway description: |+ - This Data Microservice captures the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The “Center Line” was created manually from the “HDB COVERED LINKWAY” surface (polygon) dataset and is therefore only an estimate of the center path of the real object.

- + "This Data microservice returns the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The ""Center Line"" was created manually from the actual linkway surface (polygon) and is therefore only an estimate of the center path of the real object. The quality/accuracy of the linkway polygon section's coordinates is also indicated by whether the section was Fully Visible, Partially Visible or Extrapolated at the point of the image capture.

+ + Offset can be expected for linkways captured above ground level due to geometric distortion common with remote sensing such as aerial imagery.

+ A successful call will return the results of the query in JSON format.

- - The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme.
+ + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme." x-additionalinfo : |+ **Match Types:** From 91f94b1d1dc3904ec2212db70c7550a50fc4677f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:29:12 +0530 Subject: [PATCH 5349/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index 4335406e5..cf077d58f 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -3,11 +3,11 @@ info: title: HDB Covered Linkway (SG) x-subscribelink: hdb_covered_linkway description: |+ - "This Data microservice returns the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The ""Center Line"" was created manually from the actual linkway surface (polygon) and is therefore only an estimate of the center path of the real object. The quality/accuracy of the linkway polygon section's coordinates is also indicated by whether the section was Fully Visible, Partially Visible or Extrapolated at the point of the image capture.

+ "This Data microservice returns the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The ""Center Line"" was created manually from the actual linkway surface (polygon) and is therefore only an estimate of the center path of the real object. The quality/accuracy of the linkway polygon section's coordinates is also indicated by whether the section was Fully Visible, Partially Visible or Extrapolated at the point of the image capture.
- Offset can be expected for linkways captured above ground level due to geometric distortion common with remote sensing such as aerial imagery.

+ Offset can be expected for linkways captured above ground level due to geometric distortion common with remote sensing such as aerial imagery.
- A successful call will return the results of the query in JSON format.

+ A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme." From cf2456f3cfabd0e09f25f0c6a1686cf034237f72 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:35:54 +0530 Subject: [PATCH 5350/5916] Update and rename hdb_town_estates.yaml to hdb_town_estates_boundaries.yaml --- ...tates.yaml => hdb_town_estates_boundaries.yaml} | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) rename data/{hdb_town_estates.yaml => hdb_town_estates_boundaries.yaml} (92%) diff --git a/data/hdb_town_estates.yaml b/data/hdb_town_estates_boundaries.yaml similarity index 92% rename from data/hdb_town_estates.yaml rename to data/hdb_town_estates_boundaries.yaml index a10a5227e..0e4b1d928 100644 --- a/data/hdb_town_estates.yaml +++ b/data/hdb_town_estates_boundaries.yaml @@ -3,11 +3,19 @@ info: title: HDB Town and Estate Boundaries (SG) x-subscribelink: hdb_town_estate description: |+ - The HDB towns/estates boundary is defined to facilitate planning and development of HDB towns/estates. It defines the areas that HDB will carry out the landuse planning to facilitate development of the HDB towns/estates. The boundary is used for planning purposes (eg planning of HDB’s Building Plan and planning for provision of facilities within HDB towns by relevant agencies) and for reporting of HDB statistics (eg. HDB flats under management by towns as in HDB’s annual report). The boundary is digitised mainly following the URA’s DGP/Planning boundary or road/drain as physical boundary. The boundary will be updated as and when new areas are earmarked by URA for public housing development.

+ "This Data microservice returns the (polygon) coordinates of the boundaries of HDB towns/estates.
+ + These boundaries: + + - define areas for carrying out landuse planning to facilitate development of the HDB towns/estates + - are used for planning and development within HDB towns/estates (e.g. HDB’s Building Plan and provision of facilities within HDB towns by relevant agencies) + - are used for reporting of HDB statistics (eg. HDB flats under management by towns as in HDB’s annual report).
+ + The boundaries are digitised mainly following the URA’s DGP/Planning boundary or road/drain as physical boundary. The boundary will be updated as and when new areas are earmarked by URA for public housing development.
- A successful call will return the results of the query in JSON format.

+ A successful call will return the results of the query in JSON format.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. " x-additionalinfo : |+ **Match Types:** From 1e031a8121a5c59af7b284e55e940bd59dee30a8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:36:29 +0530 Subject: [PATCH 5351/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 4ed51cd60..5a38e72d5 100644 --- a/index.yaml +++ b/index.yaml @@ -367,10 +367,10 @@ data: title: HDB Covered Linkways (SG) versions: 0.1.0: 'hdb_covered_linkways.yaml' - hdb_town_estates: + hdb_town_estates_boundaries: title: HDB Town and Estates Boundaries (SG) versions: - 0.1.0: 'hdb_town_estates.yaml' + 0.1.0: 'hdb_town_estates_boundaries.yaml' hdb_land_ownership: title: HDB Land Ownership (SG) versions: From 900fe56296f4edb76cf5c9db3be0cf6246c0bba5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:41:32 +0530 Subject: [PATCH 5352/5916] Update hdb_town_estates_boundaries.yaml --- data/hdb_town_estates_boundaries.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_town_estates_boundaries.yaml b/data/hdb_town_estates_boundaries.yaml index 0e4b1d928..4ca25cb1e 100644 --- a/data/hdb_town_estates_boundaries.yaml +++ b/data/hdb_town_estates_boundaries.yaml @@ -3,7 +3,7 @@ info: title: HDB Town and Estate Boundaries (SG) x-subscribelink: hdb_town_estate description: |+ - "This Data microservice returns the (polygon) coordinates of the boundaries of HDB towns/estates.
+ This Data microservice returns the (polygon) coordinates of the boundaries of HDB towns/estates.
These boundaries: @@ -15,7 +15,7 @@ info: A successful call will return the results of the query in JSON format.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. " + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ **Match Types:** From 97d7047f7314f4ce2588018f73322fa9f6a47461 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:42:21 +0530 Subject: [PATCH 5353/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index cf077d58f..220161627 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -3,13 +3,13 @@ info: title: HDB Covered Linkway (SG) x-subscribelink: hdb_covered_linkway description: |+ - "This Data microservice returns the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The ""Center Line"" was created manually from the actual linkway surface (polygon) and is therefore only an estimate of the center path of the real object. The quality/accuracy of the linkway polygon section's coordinates is also indicated by whether the section was Fully Visible, Partially Visible or Extrapolated at the point of the image capture.
+ This Data microservice returns the indicative center path of covered linkways for all HDB Towns and Estates and mainly on HDB Land (excluding leased land). The ""Center Line"" was created manually from the actual linkway surface (polygon) and is therefore only an estimate of the center path of the real object. The quality/accuracy of the linkway polygon section's coordinates is also indicated by whether the section was Fully Visible, Partially Visible or Extrapolated at the point of the image capture.
Offset can be expected for linkways captured above ground level due to geometric distortion common with remote sensing such as aerial imagery.
A successful call will return the results of the query in JSON format.
- The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme." + The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. x-additionalinfo : |+ **Match Types:** From 7df389679828c7542b4e8b4a1b206949b6550529 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:43:48 +0530 Subject: [PATCH 5354/5916] Update hdb_building_outlines.yaml --- data/hdb_building_outlines.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_building_outlines.yaml b/data/hdb_building_outlines.yaml index ce08c5c87..ea5ff14d5 100644 --- a/data/hdb_building_outlines.yaml +++ b/data/hdb_building_outlines.yaml @@ -3,9 +3,9 @@ info: title: HDB Building Outlines (SG) x-subscribelink: hdb_building_outlines description: |+ - The Data Microservice is used to maintain the HDB Buildings information.

- - A successful call will return the results of the query in JSON format.

+ This Data microservice returns the polygon coordinates of HDB Buildings, both existing as well as under construction.
+ + A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From 4eec94d3c4be7db36c8496d502298f41813c93ee Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:46:06 +0530 Subject: [PATCH 5355/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index a8de33868..8722d512f 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -3,13 +3,15 @@ info: title: HDB Social Communal Facilities (SG) x-subscribelink: hdb_social_communal description: |+ - The Existing Social Communal Facilities layer shows the HDB blocks with existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units.

+ This Data microservice retrieves social communal facilities under HDB's Management. The facilities may fall under 3 types:
+ + Existing - existing social communal facilities (up to 10 units per block). It excludes social communal facilities in HDB sold units, standalone buildings, and also terminated units.
- The Social Communal Facilities Under Construction layer shows the pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards.

+ Under Construction - pre-built social communal facilities in HDB BTO projects that are under construction. Data comprises HDB BTO projects which are launched from 2015 onwards.
- The future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.

+ Upcoming - future social communal facilities (FSCF) space set aside in HDB Built-To-Order (BTO) projects launched from year 2015 onwards which are under construction at the point of update. Some of the FSCF spaces have been reserved by government agencies for a future use.
- A successful call will return the results of the query in JSON format.

+ A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From 7fbdc0b9ba8963ab6d38c0c350ccff2f4288e534 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Fri, 16 Sep 2022 09:47:37 +0530 Subject: [PATCH 5356/5916] Update hdb_land_ownership.yaml --- data/hdb_land_ownership.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml index 3844e1e76..aac7b95ca 100644 --- a/data/hdb_land_ownership.yaml +++ b/data/hdb_land_ownership.yaml @@ -3,9 +3,9 @@ info: title: HDB Land Ownership (SG) x-subscribelink: hdb_land_ownership description: |+ - This Data Microservice captures boundaries of HDB land. Accuracy of updates are as per accuracy of plans received from authorities (done by surveyors) demarcating boundaries of the land owned by HDB.

- - A successful call will return the results of the query in JSON format.

+ This Data microservice returns the boundaries (in polygon coordinates) of HDB land. Accuracy of updates are as per accuracy of plans received from authorities (done by surveyors) demarcating boundaries of the land owned by HDB.
+ + A successful call will return the results of the query in JSON format.
The HDB POTH programme makes selected public and non-public datasets available to developers and companies to improve their service offerings to benefit the lives of Singapore citizens. Sentient.io is proud to partner with HDB to manage and facilitate the sharing of data for the POTH programme. From 4b58ae346b13b343af69b0f4d7d7b9768752692f Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 16 Sep 2022 11:52:13 +0530 Subject: [PATCH 5357/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 3c8f188ed..930d1622f 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -259,7 +259,7 @@ components: The bigger the number is the more time it takes to complete. - Default value is 5 and range is between 2-5. + Default value is 2 and range is between 2-4. securitySchemes: APIAuthorizer: type: apiKey From bdd5bc1f7f213bb6ebbcca52bef52611035c9385 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 16 Sep 2022 11:53:20 +0530 Subject: [PATCH 5358/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index 930d1622f..c5406eed6 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -223,7 +223,7 @@ components: items: oneOf: - type: string - example: Published Date - August 1, 2022 + example: Published Date - September 16, 2022 description: Initial Version input: type: object @@ -245,9 +245,7 @@ components: description: |+ token_length is the number of tokens in the output sequence. token_length is the number of tokens in input sequence + number of tokens generated by the model. - Default value is 50. - - Recommended range is between 20 and 100. + Default value is 50 and recommended range is between 20 and 200. num_beams: x-name: num_beams From a087aef337b68f0e9345ee4d1dab0198506a2390 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 16 Sep 2022 12:37:38 +0530 Subject: [PATCH 5359/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index c5406eed6..e3544383a 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -6,7 +6,7 @@ info: The model is currently trained using English language only. - Do ensure you **token_length limit is within 200**. + Do ensure you **token_length limit is within 170**. version: v0.1.0 x-additionalinfo: |+ Suitable input text(also know as prompt) for generating Text for various use cases can be found below:

@@ -39,7 +39,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - August 1, 2022" + description: "Published Date - September 16, 2022" paths: /microservices/nlp/gptj/v0/getpredictions: post: @@ -245,7 +245,7 @@ components: description: |+ token_length is the number of tokens in the output sequence. token_length is the number of tokens in input sequence + number of tokens generated by the model. - Default value is 50 and recommended range is between 20 and 200. + Default value is 50 and recommended range is between 20 and 170. num_beams: x-name: num_beams @@ -257,7 +257,7 @@ components: The bigger the number is the more time it takes to complete. - Default value is 2 and range is between 2-4. + Default value is 2 and range is between 2-5. securitySchemes: APIAuthorizer: type: apiKey From f827973722b7da83cb1e37ba601a8d78aad8413d Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 19 Sep 2022 11:38:12 +0800 Subject: [PATCH 5360/5916] online asr docs updated --- ...e_automatic_speech_recognition_eng_streaming.yaml | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/voice/online_automatic_speech_recognition_eng_streaming.yaml b/voice/online_automatic_speech_recognition_eng_streaming.yaml index 288c95a21..b0e5f84c4 100644 --- a/voice/online_automatic_speech_recognition_eng_streaming.yaml +++ b/voice/online_automatic_speech_recognition_eng_streaming.yaml @@ -85,6 +85,18 @@ components: type: string example: 8000 description: Optional. Sampling rate of the input wave file. 8000 or 16000 (Default). + look_ahead: + type: integer + example: 0 + description: Optional Specifies the number of bytes to look ahead for merging of utterances. A larger number will result in longer utterances, higher threshold for pauses before breaking into new utterances. Default value is 0. + command_word_sensitivity: + type: boolean + example: False + description: Optional. Force convert single word utterances to a couple of common command words. Default is false. + inverse_text_normalization: + type: array + example: [] + description: Optional. Capitalize and insert punctations to the ASR raw output. Default is [] (no normalization).One or more of the strings:"normalized" - apply default normalization;"convert_digits" - convert text to digits;"convert_date_time" - convert text to normalized date_time;"convert_ordinals" - convert text to normalized ordinals;"spoken_punctuation" - add commas between pauses;"all" - turn on all flags. diarization: type: object example: {"type": "seminar", "nspk": 3} From e18cabc5be2e51eded782f2f65db1987e9db0e3b Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 19 Sep 2022 11:44:49 +0800 Subject: [PATCH 5361/5916] online asr doc version updated --- ...e_command_automatic_speech_recognition_eng.yaml | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/voice/online_command_automatic_speech_recognition_eng.yaml b/voice/online_command_automatic_speech_recognition_eng.yaml index d82c6cbe0..ac84ce3af 100644 --- a/voice/online_command_automatic_speech_recognition_eng.yaml +++ b/voice/online_command_automatic_speech_recognition_eng.yaml @@ -1,6 +1,6 @@ info: title: Online Command Automatic Speech Recognition ENG - version: '0.1.0' + version: '0.1.1' x-apitypedescription: |+ Fast | Single-Call | 60 mins/socket x-inputfilelimit: |+ @@ -17,8 +17,8 @@ servers: - url: 'wss://onlinecommandasr.sentient.io' # tags must include in to the documentation, to read the description text for published date tags: -- name: "v0.1.0" - description: "Published Date - Aug 31, 2020" +- name: "v0.1.1" + description: "Published Date - Sep 10, 2022" html: |+ @@ -26,7 +26,7 @@ paths: /: post: tags: - - v0.1.0 + - v0.1.1 components: schemas: versions: @@ -36,7 +36,11 @@ components: type: array items: oneOf: + type: string + example: Published Date - Sep 10, 2022 + x-details: Optional Parameters introduced + description: Latest Version - type: string example: Published Date - Aug 31, 2020 x-details: Initial version release - description: Latest Version + description: Initial version release From 328dc96b59693baa39e0ea75df928b874f2406d1 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 19 Sep 2022 11:57:57 +0800 Subject: [PATCH 5362/5916] online asr doc version updated --- voice/online_automatic_speech_recognition_eng.yaml | 8 ++++---- ...e_command_automatic_speech_recognition_eng.yaml | 14 +++++--------- 2 files changed, 9 insertions(+), 13 deletions(-) diff --git a/voice/online_automatic_speech_recognition_eng.yaml b/voice/online_automatic_speech_recognition_eng.yaml index 3b5fd72f2..cb1f5e426 100644 --- a/voice/online_automatic_speech_recognition_eng.yaml +++ b/voice/online_automatic_speech_recognition_eng.yaml @@ -5,7 +5,7 @@ info: title: Online Automatic Speech Recognition ENG description: >- This Utility microservice converts audio format to the WAV format.

The encoding scheme, bitrate, sample rate of the output WAV are to be specified.

Authentication:

Authentication is done using the x-api-key in the request header. - version: '0.1.1' + version: '0.1.2' x-apitypedescription: |+ Fast | Single-Call | 60 mins/socket x-inputfilelimit: |+ @@ -22,8 +22,8 @@ servers: - url: 'wss://onlineasr.sentient.io' # tags must include in to the documentation, to read the description text for published date tags: -- name: "v0.1.1" - description: "Published Date - Apr 7, 2021" +- name: "v0.1.2" + description: "Published Date - Sep 10, 2022" html: |+
@@ -26,7 +26,7 @@ paths: /: post: tags: - - v0.1.1 + - v0.1.0 components: schemas: versions: @@ -36,11 +36,7 @@ components: type: array items: oneOf: - type: string - example: Published Date - Sep 10, 2022 - x-details: Optional Parameters introduced - description: Latest Version - type: string example: Published Date - Aug 31, 2020 x-details: Initial version release - description: Initial version release + description: Latest version From 4c5c67dde6a15ac9709e5cc46afb5ee1f49b4050 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 19 Sep 2022 12:17:36 +0800 Subject: [PATCH 5363/5916] online asr doc html updated --- ...e_automatic_speech_recognition_eng_sg.html | 53 ++++++++++++++++++- 1 file changed, 51 insertions(+), 2 deletions(-) diff --git a/static-pages/online_automatic_speech_recognition_eng_sg.html b/static-pages/online_automatic_speech_recognition_eng_sg.html index 65e22f676..ebb781fdd 100644 --- a/static-pages/online_automatic_speech_recognition_eng_sg.html +++ b/static-pages/online_automatic_speech_recognition_eng_sg.html @@ -247,6 +247,50 @@ "generic_en_vosk"

+ + +

look_ahead

+ + +

integer

+ + +

“Optional Specifies the number of bytes to look ahead for merging of utterances. A larger number will result in longer utterances, higher threshold for pauses before breaking into new utterances. Default value is 0.”

+ + + + +

command_word_sensitivity

+ + +

boolean

+ + +

“Optional. Force convert single word utterances to a couple of common command words. Default is false.”

+ + + + +

inverse_text_normalization

+ + +

array

+ + +

Optional. Capitalize and insert punctations to the ASR raw output. Default is [] (no normalization).One or more of the strings:
+ "normalized - apply default normalization" +  OR  + "convert_digits - convert text to digits" +  OR  + "convert_date_time - convert text to normalized date_time" +  OR  + "convert_ordinals - convert text to normalized ordinals" +  OR  + "spoken_punctuation" - add commas between pauses"

+  OR  + "all - turn on all flags."

+ +

sampling-rate

@@ -310,6 +354,9 @@ "model": "en-SG", "sampling-rate": 8000, "diarization": {"type": "seminar", "nspk": 3} + "look_ahead": 16000, + "command_word_sensitivity": true, + "inverse_text_normalization": ["convert_digits", "convert_date_time", "convert_ordinals", "spoken_punctuation"] }

Server returns json:

@@ -521,7 +568,8 @@ {"word": "IS", "start": 4.14, "end": 4.26, "conf": 0.9976}, {"word": "A", "start": 4.26, "end": 4.439, "conf": 0.838751}, {"word": "TEST", "start": 4.47, "end": 4.92, "conf": 0.96717}], - "text": "HELLO WORLD THIS IS A TEST" + "raw_text": "HELLO WORLD THIS IS A TEST" + "text": "Hello World! This is a test." }


@@ -646,7 +694,8 @@ 2 3 { - "text": "GOOD JOB", + "text": "Good job." + "raw_text": "GOOD JOB", "spkSeq": [0, 2, 1, 1], "result": [{"word": "GOOD", "start": 3.42, "end": 3.63, "conf": 1}, {"word": "JOB", "start": 3.63, "end": 4.02, "conf": 1}] From 6d3218ee7154e8f4fa595844a68c1f823a93c0fc Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 19 Sep 2022 12:22:24 +0800 Subject: [PATCH 5364/5916] online asr doc link updated --- voice/online_automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/online_automatic_speech_recognition_eng.yaml b/voice/online_automatic_speech_recognition_eng.yaml index cb1f5e426..3c429405f 100644 --- a/voice/online_automatic_speech_recognition_eng.yaml +++ b/voice/online_automatic_speech_recognition_eng.yaml @@ -26,7 +26,7 @@ tags: description: "Published Date - Sep 10, 2022" html: |+
-
paths: From 0d9aec194e9e5504d4b1f29d73c217c150ebf572 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 10:18:54 +0530 Subject: [PATCH 5365/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 04ffe8935..1a80a0395 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -20,7 +20,7 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Sep 01, 2022" From 3da3f088a045f012bd162ae3b9832afd4dc24e9e Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 10:20:53 +0530 Subject: [PATCH 5366/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 1a80a0395..04ffe8935 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -20,7 +20,7 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Sep 01, 2022" From 7f7515d60890ebff5948ecb891454d34b2b9bb4a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 19 Sep 2022 10:25:02 +0530 Subject: [PATCH 5367/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index b884e7784..3b79fc4bb 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -20,10 +20,10 @@ info: x-apidetailsdesc: |+ Extracts to meaningful and structured data from Invoice docs. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Sep 05, 2022" + description: "Published Date - Sep 09, 2022" paths: /microservices/cv/scaninvoice/v0/getresults: post: @@ -339,7 +339,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 05, 2022 + example: Published Date - Sep 09, 2022 x-details: Initial version release description: Bug Fixed v0.1.0: From 431bb8ce52a6f7380ffabcf3ffe9c5b65f293d85 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 19 Sep 2022 10:53:59 +0530 Subject: [PATCH 5368/5916] Update invoice_scanner.yaml --- computer_vision/invoice_scanner.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/invoice_scanner.yaml b/computer_vision/invoice_scanner.yaml index 3b79fc4bb..797bc6cc1 100644 --- a/computer_vision/invoice_scanner.yaml +++ b/computer_vision/invoice_scanner.yaml @@ -23,7 +23,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Sep 09, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/cv/scaninvoice/v0/getresults: post: @@ -339,8 +339,8 @@ components: items: oneOf: - type: string - example: Published Date - Sep 09, 2022 - x-details: Initial version release + example: Published Date - Sep 19, 2022 + x-details: Bug Fix description: Bug Fixed v0.1.0: type: array From 5d5599ddfbe355c8914951da518edfb4a82f7149 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 19 Sep 2022 10:54:48 +0530 Subject: [PATCH 5369/5916] Update receipt_scanner.yaml --- computer_vision/receipt_scanner.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/computer_vision/receipt_scanner.yaml b/computer_vision/receipt_scanner.yaml index b0ccd75a5..5180bdc07 100644 --- a/computer_vision/receipt_scanner.yaml +++ b/computer_vision/receipt_scanner.yaml @@ -21,10 +21,10 @@ info: x-apidetailsdesc: |+ Extracts to meaningful and structured data from Receipt docs. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Sep 05, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/cv/scanreceipt/v0/getresults: post: @@ -1650,7 +1650,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 05, 2022 + example: Published Date - Sep 19, 2022 x-details: Initial version release description: Bug Fixed v0.1.0: From a79545145153f7006812e42114720c888dc8f173 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 12:58:41 +0530 Subject: [PATCH 5370/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 04ffe8935..56c5d1588 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -23,7 +23,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Sep 01, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/voice/speakeremotion/v0/get_emotion: post: @@ -269,7 +269,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 01, 2022 + example: Published Date - Sep 19, 2022 x-details: Initial version release description: Input changed to wav_base64 v0.1.0: From 83112aa4acc12842fa65ff8e2f636ca6542aeaee Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 19 Sep 2022 14:35:01 +0530 Subject: [PATCH 5371/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 5a38e72d5..111631c1e 100644 --- a/index.yaml +++ b/index.yaml @@ -186,7 +186,7 @@ nlp: versions: 0.1.0: 'google_translate_large_file.yaml' text_generation_gptj6b: - title: Text Generation using GPT-J 6B + title: GPT-J 6B Text Generator versions: 0.1.0: 'text_generation_gptj6b.yaml' machine_translation: From 92b21edf3bdb28e0d030b884ab6cfc52c4a7e5bd Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 14:59:35 +0530 Subject: [PATCH 5372/5916] Update hdb_land_ownership.yaml --- data/hdb_land_ownership.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml index aac7b95ca..9aa26c5fc 100644 --- a/data/hdb_land_ownership.yaml +++ b/data/hdb_land_ownership.yaml @@ -58,7 +58,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Sep 01, 2022" From 35c88dc9b6da7fbd1ac262739b0b503c0b386154 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:02:44 +0530 Subject: [PATCH 5373/5916] Update hdb_land_ownership.yaml --- data/hdb_land_ownership.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml index 9aa26c5fc..f32231b0e 100644 --- a/data/hdb_land_ownership.yaml +++ b/data/hdb_land_ownership.yaml @@ -61,7 +61,7 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Sep 01, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/data/hdblandownership/v0/getdata: post: @@ -375,7 +375,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 01, 2022 + example: Published Date - Sep 19, 2022 x-details: Initial version release description: Latest Version input: From 7b94bb0df9383ae3cd12560ea9a85d3fe2c8cf14 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:05:20 +0530 Subject: [PATCH 5374/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index 220161627..55ddde0ca 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -60,10 +60,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Sep 01, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/data/hdbcoveredlinkway/v0/getdata: post: @@ -387,7 +387,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 01, 2022 + example: Published Date - Sep 19, 2022 x-details: Initial version release description: Latest Version input: From d7cc466a50574b3b7fcdfd53307d10720db01d80 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:06:27 +0530 Subject: [PATCH 5375/5916] Update hdb_covered_linkways.yaml --- data/hdb_covered_linkways.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_covered_linkways.yaml b/data/hdb_covered_linkways.yaml index 55ddde0ca..37c96ec84 100644 --- a/data/hdb_covered_linkways.yaml +++ b/data/hdb_covered_linkways.yaml @@ -60,7 +60,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Sep 19, 2022" From 2201e6bef7799397c82ab5af05313e56b2da4397 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:07:21 +0530 Subject: [PATCH 5376/5916] Update hdb_town_estates_boundaries.yaml --- data/hdb_town_estates_boundaries.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_town_estates_boundaries.yaml b/data/hdb_town_estates_boundaries.yaml index 4ca25cb1e..9c3930b07 100644 --- a/data/hdb_town_estates_boundaries.yaml +++ b/data/hdb_town_estates_boundaries.yaml @@ -66,10 +66,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Sep 01, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/data/hdbtownestateboundaries/v0/getdata: post: @@ -378,7 +378,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 01, 2022 + example: Published Date - Sep 19, 2022 x-details: Initial version release description: Latest Version input: From c9ce357a6753568922072ed41b2f31b2e6c0c955 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:10:02 +0530 Subject: [PATCH 5377/5916] Update hdb_town_estates_boundaries.yaml --- data/hdb_town_estates_boundaries.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_town_estates_boundaries.yaml b/data/hdb_town_estates_boundaries.yaml index 9c3930b07..251027127 100644 --- a/data/hdb_town_estates_boundaries.yaml +++ b/data/hdb_town_estates_boundaries.yaml @@ -66,7 +66,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Sep 19, 2022" From c7d9dd1e972b02a85cbd32619351dd77e51f06d9 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:15:18 +0530 Subject: [PATCH 5378/5916] Update hdb_land_ownership.yaml --- data/hdb_land_ownership.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_land_ownership.yaml b/data/hdb_land_ownership.yaml index f32231b0e..b40285774 100644 --- a/data/hdb_land_ownership.yaml +++ b/data/hdb_land_ownership.yaml @@ -58,7 +58,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Sep 19, 2022" From 92f7b262b2170ecdd8a06f0f457b851c8260d929 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:15:54 +0530 Subject: [PATCH 5379/5916] Update speech_enhancement.yaml --- voice/speech_enhancement.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speech_enhancement.yaml b/voice/speech_enhancement.yaml index b4f23ff8b..13e185fa5 100644 --- a/voice/speech_enhancement.yaml +++ b/voice/speech_enhancement.yaml @@ -32,7 +32,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 12, 2022" paths: - /microservices/voice/speech_enchancement/v0/getpredictions: + /microservices/voice/speechenchancement/v0/getpredictions: post: tags: - v0.1.0 From 7675608ee07f03993a2ab8762f4e1361e7c14e62 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:17:13 +0530 Subject: [PATCH 5380/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index 8722d512f..dcefab110 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -64,10 +64,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Sep 01, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/data/hdbsocialcommunalfacilities/v0/getdata: post: @@ -440,7 +440,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 01, 2022 + example: Published Date - Sep 19, 2022 x-details: Initial version release description: Latest Version input: From 1e0a735723c965f6725ced81cd1099d0569b178f Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:22:29 +0530 Subject: [PATCH 5381/5916] Update hdb_social_communal.yaml --- data/hdb_social_communal.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_social_communal.yaml b/data/hdb_social_communal.yaml index dcefab110..6062399f8 100644 --- a/data/hdb_social_communal.yaml +++ b/data/hdb_social_communal.yaml @@ -64,7 +64,7 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Sep 19, 2022" From aa2707ad224f9567ad24fcc8ed90161ca73de9cc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:25:57 +0530 Subject: [PATCH 5382/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 99f41db88..76f7db84a 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -26,10 +26,10 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.0" - description: "Published Date - Sep 01, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/voice/asrsch/v2/getpredictions: post: @@ -275,7 +275,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 01, 2022 + example: Published Date - Sep 19, 2022 x-details: Upgrading with Samplerate, Encoding etc.. description: Latest Version v2.0.0: From e215f9f1b379ffa96a640492601aa6fbd409cf75 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:31:47 +0530 Subject: [PATCH 5383/5916] Update hdb_building_outlines.yaml --- data/hdb_building_outlines.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_building_outlines.yaml b/data/hdb_building_outlines.yaml index ea5ff14d5..c2089856c 100644 --- a/data/hdb_building_outlines.yaml +++ b/data/hdb_building_outlines.yaml @@ -58,10 +58,10 @@ info: x-apidetailsdesc: |+ Provides returns all road works being / to be carried out. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Sep 01, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/data/hdbbuildingoutlines/v0/getdata: post: @@ -385,7 +385,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 01, 2022 + example: Published Date - Sep 19, 2022 x-details: Initial version release description: Latest Version input: From 73a288a73fcca4a7c4c5d8f12cc0864c56aa759d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:39:48 +0530 Subject: [PATCH 5384/5916] Update speech_enhancement.yaml --- voice/speech_enhancement.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speech_enhancement.yaml b/voice/speech_enhancement.yaml index 13e185fa5..0c3ae8c1c 100644 --- a/voice/speech_enhancement.yaml +++ b/voice/speech_enhancement.yaml @@ -32,7 +32,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 12, 2022" paths: - /microservices/voice/speechenchancement/v0/getpredictions: + /microservices/voice/speechenhancement/v0/getpredictions: post: tags: - v0.1.0 From 0d51d9cedf49e697c3accb81e2d8d315019c8731 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:44:15 +0530 Subject: [PATCH 5385/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 76f7db84a..78a491575 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -276,7 +276,7 @@ components: oneOf: - type: string example: Published Date - Sep 19, 2022 - x-details: Upgrading with Samplerate, Encoding etc.. + x-details: Added Output type parameter. description: Latest Version v2.0.0: type: array From afd14f9de4d560678d16d482aa7276042e307a68 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Mon, 19 Sep 2022 15:45:25 +0530 Subject: [PATCH 5386/5916] Update hdb_upgrading_programmes.yaml --- data/hdb_upgrading_programmes.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/hdb_upgrading_programmes.yaml b/data/hdb_upgrading_programmes.yaml index fe575f098..72d48ede4 100644 --- a/data/hdb_upgrading_programmes.yaml +++ b/data/hdb_upgrading_programmes.yaml @@ -111,10 +111,10 @@ info: x-apidetailsdesc: |+ Retrieves the list of all retail shops within Housing Development Board. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Sep 15, 2022" + description: "Published Date - Sep 19, 2022" paths: /microservices/data/hdb_upgrade_programme/v0/getdata: post: @@ -448,7 +448,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 15, 2022 + example: Published Date - Sep 19, 2022 x-details: Initial version release description: Latest Version input: From aac16ec9a735ddd478eac133cdbe1faaa2132ac0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 19 Sep 2022 16:17:01 +0530 Subject: [PATCH 5387/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index ad6bdb14f..8f5b1897f 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,10 +25,10 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Sep 01, 2022" + description: "Published Date - Sep 19, 2022" paths: /async/microservices/voice/asrsch/v0/getuploadurl: description: |+ @@ -61,7 +61,7 @@ paths: x-goog-signature: 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 jid: 5292a71b45184424826c9089c103fb78 request_cost: 1.2675 - url: https://storage.googleapis.com/user_space_dev/ + url: https://storage.googleapis.com/lp_user_space_prod/ status: Success '401': description: Unauthorized @@ -130,7 +130,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -413,7 +413,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 01, 2022 + example: Published Date - Sep 19, 2022 x-details: Output Parameters Aligned description: Latest Version v0.1.2: From 842cc476da889b31f9f885946a92ee475023a09e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 19 Sep 2022 17:07:13 +0530 Subject: [PATCH 5388/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 8f5b1897f..633797d87 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Sep 19, 2022" @@ -61,7 +61,7 @@ paths: x-goog-signature: 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 jid: 5292a71b45184424826c9089c103fb78 request_cost: 1.2675 - url: https://storage.googleapis.com/lp_user_space_prod/ + url: https://storage.googleapis.com/lp_user_space_dev/ status: Success '401': description: Unauthorized @@ -130,7 +130,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/lp_user_space_dev/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 97c7241946b978ceb8b8316f56d4647c21fbe64a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 19 Sep 2022 17:12:35 +0530 Subject: [PATCH 5389/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 633797d87..18fb11dfb 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -61,7 +61,7 @@ paths: x-goog-signature: 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 jid: 5292a71b45184424826c9089c103fb78 request_cost: 1.2675 - url: https://storage.googleapis.com/lp_user_space_dev/ + url: https://storage.googleapis.com/user_space_dev/ status: Success '401': description: Unauthorized @@ -130,7 +130,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_dev/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 38f46ef54a373a707af4be478959dfdeea810a5a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 19 Sep 2022 17:24:40 +0530 Subject: [PATCH 5390/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 18fb11dfb..8f5b1897f 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Sep 19, 2022" @@ -61,7 +61,7 @@ paths: x-goog-signature: 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 jid: 5292a71b45184424826c9089c103fb78 request_cost: 1.2675 - url: https://storage.googleapis.com/user_space_dev/ + url: https://storage.googleapis.com/lp_user_space_prod/ status: Success '401': description: Unauthorized @@ -130,7 +130,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 8b9aa187df6afc5d35c35ae38d34bfc999e7a517 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Tue, 20 Sep 2022 09:16:18 +0530 Subject: [PATCH 5391/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index a0c063ffa..aabf2e266 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -21,10 +21,10 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://ms-apis.huawei.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Sep 09, 2022" + description: "Published Date - Sep 20, 2022" paths: /microservices/voice/asrenunified/v1/get_transcript: post: @@ -239,7 +239,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 09, 2022 + example: Published Date - Sep 20, 2022 x-details: Major release description: Input Parameter Changed to wav_base64 String v0.2.0: From 346dbcafec8846e6bda927dd52a0b6085d9ac6e9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 20 Sep 2022 09:22:25 +0530 Subject: [PATCH 5392/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 8f5b1897f..18fb11dfb 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Sep 19, 2022" @@ -61,7 +61,7 @@ paths: x-goog-signature: 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 jid: 5292a71b45184424826c9089c103fb78 request_cost: 1.2675 - url: https://storage.googleapis.com/lp_user_space_prod/ + url: https://storage.googleapis.com/user_space_dev/ status: Success '401': description: Unauthorized @@ -130,7 +130,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 454a42f10e1208c8ffdbb470f14750642ea98742 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Tue, 20 Sep 2022 09:50:55 +0530 Subject: [PATCH 5393/5916] Update speech_enhancement.yaml --- voice/speech_enhancement.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/speech_enhancement.yaml b/voice/speech_enhancement.yaml index 0c3ae8c1c..78c379bf9 100644 --- a/voice/speech_enhancement.yaml +++ b/voice/speech_enhancement.yaml @@ -27,10 +27,10 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Sep 12, 2022" + description: "Published Date - Sep 20, 2022" paths: /microservices/voice/speechenhancement/v0/getpredictions: post: From 502826305b479ad17456ac15c4b4c0696a5720fa Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Tue, 20 Sep 2022 09:51:16 +0530 Subject: [PATCH 5394/5916] Update speech_enhancement.yaml --- voice/speech_enhancement.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speech_enhancement.yaml b/voice/speech_enhancement.yaml index 78c379bf9..d331fc415 100644 --- a/voice/speech_enhancement.yaml +++ b/voice/speech_enhancement.yaml @@ -224,7 +224,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Sep 12,2022' + example: 'Published Date - Sep 20,2022' x-details: Initial version release description: Latest Version input: From b1a0faeae63ac46f50d83bd066dcf596373f1a04 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 20 Sep 2022 15:08:30 +0530 Subject: [PATCH 5395/5916] Update text_generation_gptj6b.yaml --- nlp/text_generation_gptj6b.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/text_generation_gptj6b.yaml index e3544383a..6f8f974ee 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/text_generation_gptj6b.yaml @@ -24,22 +24,22 @@ info: x-subscribelink: text_generation_gptj6b x-apitype: small file x-apitypedescription: |+ - Fast | Single-Call | 10 MB/Call + Fast | Single-Call | token_length limit is within 170/Call x-inputfilelimit: |+ - Process up to 10 MB per API call. + Process up to token_length limit is within 170 per API call. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ - The API is billed by per request. + The API is billed by the amount of data transferred. x-notes: |+ - Limit cannot exceed 10 MB. + Size cannot exceed more than token_length limit is within 170. x-apidetailsdesc: |+ - You can use these models for code-generation, calculating arithmetic, language translation etc. + Input text blurb and generates a summary of up to a maximum of 168 words. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - September 16, 2022" + description: "Published Date - September 20, 2022" paths: /microservices/nlp/gptj/v0/getpredictions: post: @@ -223,7 +223,7 @@ components: items: oneOf: - type: string - example: Published Date - September 16, 2022 + example: Published Date - September 20, 2022 description: Initial Version input: type: object From bf139c77b543d9eaa2f8e836a61eca4f5ce887cd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 20 Sep 2022 15:38:21 +0530 Subject: [PATCH 5396/5916] Update speaker_emotion_recognition.yaml --- voice/speaker_emotion_recognition.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_emotion_recognition.yaml b/voice/speaker_emotion_recognition.yaml index 56c5d1588..f2a304adf 100644 --- a/voice/speaker_emotion_recognition.yaml +++ b/voice/speaker_emotion_recognition.yaml @@ -270,7 +270,7 @@ components: oneOf: - type: string example: Published Date - Sep 19, 2022 - x-details: Initial version release + x-details: Input parameter type change. description: Input changed to wav_base64 v0.1.0: type: array From f4935cdb1c1b16e4ffe8adae8f35ddf322889fec Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Wed, 21 Sep 2022 14:36:42 +0530 Subject: [PATCH 5397/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 84b66c5b0..35b621d88 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -33,10 +33,10 @@ info: x-apidetailsdesc: |+ Converts English text to speech in a female voice. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.4.0" - description: "Published Date - Aug 30, 2022" + description: "Published Date - Sep 21, 2022" paths: /microservices/voice/ttseng/v1/getpredictions: post: @@ -240,7 +240,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Aug 30,2022' + example: 'Published Date - Sep 21,2022' description: |+ New Features: - Improved pronunciation for abbreviations, units, measurements and currency From f5331f347fd515973ad049f7b57e5dfc82653f33 Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Wed, 21 Sep 2022 14:46:13 +0530 Subject: [PATCH 5398/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 35b621d88..a6d6df50c 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -251,7 +251,7 @@ components: - Resolved cases of stuttering when there is a special character between ARPABET notations - Reolved cases of stuttering when there is an ARPABET notation in sentence endings - #description: Latest Version + x-details: New Features v1.3.0: type: array items: @@ -262,7 +262,7 @@ components: New Features: - Added SSML support for more precise phonetic level pronunciations in the ARPABET notation - Improved pronunciation for names and organizations" - #description: Archived + x-details: New Features v1.2.0: type: array items: @@ -288,7 +288,7 @@ components: - Improved Latency - Sentence ending pause generation - Higher character limit - #description: Archived + x-details: Optimizations v1.0.1: type: array items: @@ -297,7 +297,7 @@ components: example: 'Published Date - Oct 13,2021' description: |+ Bug fixes - Reduce missing words occurences - #description: Depreciated on Nov 08, 2021 + x-details: Bug fixes v1.0.0: type: array items: @@ -305,7 +305,7 @@ components: - type: string example: 'Published Date - Jun 7,2021' description: Stable release. Added the "female_singaporean" model with pitch and speed control. - #description: Depreciated on Oct 12, 2021 + x-details: Stable release v0.1.0: type: array items: From a4d840d0297222cdb1751ffe85ca960c870e53fa Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Wed, 21 Sep 2022 14:52:13 +0530 Subject: [PATCH 5399/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index a6d6df50c..7de08a30f 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -273,7 +273,7 @@ components: Optimizations: - Further improvements to the speech waveform resulting in improvements in synthesis quality - Higher concurrency user support - #description: Archived + x-details: Optimizations v1.1.1: type: array items: From 060d018feb77724f14668906e8daf7b673f0fd6d Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Wed, 21 Sep 2022 14:53:29 +0530 Subject: [PATCH 5400/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 7de08a30f..bc766651c 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -273,7 +273,7 @@ components: Optimizations: - Further improvements to the speech waveform resulting in improvements in synthesis quality - Higher concurrency user support - x-details: Optimizations + x-details: Optimizations v1.1.1: type: array items: From db9770065c276d6aaa84e57df83f4daeed19a592 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Sep 2022 11:58:33 +0530 Subject: [PATCH 5401/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index bc766651c..a07bef311 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -33,7 +33,7 @@ info: x-apidetailsdesc: |+ Converts English text to speech in a female voice. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.4.0" description: "Published Date - Sep 21, 2022" From 77bff00f0a20255497c7c11e09fd72b73d21e9a6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Sep 2022 16:47:10 +0530 Subject: [PATCH 5402/5916] Update index.yaml --- index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/index.yaml b/index.yaml index 111631c1e..bcdbcd14d 100644 --- a/index.yaml +++ b/index.yaml @@ -185,10 +185,10 @@ nlp: title: Google Translate (Large File) versions: 0.1.0: 'google_translate_large_file.yaml' - text_generation_gptj6b: + gptj6b_text_generator: title: GPT-J 6B Text Generator versions: - 0.1.0: 'text_generation_gptj6b.yaml' + 0.1.0: 'gptj6b_text_generator.yaml' machine_translation: title: Machine Translation versions: From 9b657e992ad9d0d6c6a05a90679a07c82b52ea07 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 22 Sep 2022 16:49:10 +0530 Subject: [PATCH 5403/5916] Update and rename text_generation_gptj6b.yaml to gptj6b_text_generator.yaml --- nlp/{text_generation_gptj6b.yaml => gptj6b_text_generator.yaml} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename nlp/{text_generation_gptj6b.yaml => gptj6b_text_generator.yaml} (99%) diff --git a/nlp/text_generation_gptj6b.yaml b/nlp/gptj6b_text_generator.yaml similarity index 99% rename from nlp/text_generation_gptj6b.yaml rename to nlp/gptj6b_text_generator.yaml index 6f8f974ee..a7d9ec74c 100644 --- a/nlp/text_generation_gptj6b.yaml +++ b/nlp/gptj6b_text_generator.yaml @@ -21,7 +21,7 @@ info: - English

The model is trained on the Pile dataset is a 825 GiB, diverse, open source language modelling data set developed by EleutherAI. - x-subscribelink: text_generation_gptj6b + x-subscribelink: gptj6b_text_generator x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | token_length limit is within 170/Call From 1de29e5d6756f2d108cd39885f6329a0049a759f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 27 Sep 2022 10:16:19 +0530 Subject: [PATCH 5404/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 22 ++++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index a07bef311..dd8f80244 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -13,11 +13,11 @@ info: x-additionalinfo : |+ Users can now define custom phonetic pronunciations using ARPABET notation enclosed within curly brackets { }. For example, note the difference in how “tomatoes” is pronounced using the following 2 inputs:

- plain text: I like to eat tomatoes\n + plain text: I like to eat tomatoes text with ARPABET: I like to eat {T AH0 M AE1 T OW0 Z}

See https://en.wikipedia.org/wiki/ARPABET for full list of ARPABET notation. - version: 1.4.0 + version: 1.4.1 x-subscribelink: text-to-speech_eng x-apitype: small file x-apitypedescription: |+ @@ -35,13 +35,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.4.0" - description: "Published Date - Sep 21, 2022" +- name: "v1.4.1" + description: "Published Date - Sep 27, 2022" paths: /microservices/voice/ttseng/v1/getpredictions: post: tags: - - v1.4.0 + - v1.4.1 responses: '200': description: success response @@ -235,6 +235,16 @@ components: versions: type: object properties: + v1.4.1: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 27,2022' + description: |+ + New Features: + - model female_generic removed and female_us added + x-details: New Features v1.4.0: type: array items: @@ -337,7 +347,7 @@ components: description: |+ Model selection. For best performance, select the model which best matches the use-case: The default model is female_singaporean - 1. female_generic + 1. female_us 2. female_singaporean pitch_scale: x-name: pitch_scale From 20a2b769701977ab0ad3fd81ef69cd979d1360dc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 27 Sep 2022 10:17:24 +0530 Subject: [PATCH 5405/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index bcdbcd14d..ea7979326 100644 --- a/index.yaml +++ b/index.yaml @@ -49,7 +49,7 @@ voice: text-to-speech_eng: title: Text-To-Speech ENG versions: - 1.4.0: 'text-to-speech_eng.yaml' + 1.4.1: 'text-to-speech_eng.yaml' text-to-speech_chi: title: Text-To-Speech CHI versions: From 029bae9713a136af1d058ceb0dc95f2350a13dd6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 28 Sep 2022 16:19:16 +0530 Subject: [PATCH 5406/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index dd8f80244..5d96d3cdd 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -347,7 +347,7 @@ components: description: |+ Model selection. For best performance, select the model which best matches the use-case: The default model is female_singaporean - 1. female_us + 1. female_american 2. female_singaporean pitch_scale: x-name: pitch_scale From b0cdf3f18c6ad3e03e44f07c453f21931fc1b690 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 28 Sep 2022 16:51:21 +0530 Subject: [PATCH 5407/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 18fb11dfb..ac9cd25c2 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -495,7 +495,12 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are - simplified, traditional, pinyin_tone_marks, pinyin_numerals. Default Value - simplified + Specifies the output type of the transcript. There are four different values, they are, + - simplified + - traditional + - pinyin_tone_marks + - pinyin_numerals + Default Value - simplified uploadinput: type: object required: From 6b498e425e7b8c1cee47abeb2a46d8e9f07d6f62 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 28 Sep 2022 16:52:54 +0530 Subject: [PATCH 5408/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 78a491575..dbf759bb2 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -266,7 +266,12 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are - simplified, traditional, pinyin_tone_marks, pinyin_numerals. Default Value - simplified + Specifies the output type of the transcript. There are four different values, they are, + - simplified + - traditional + - pinyin_tone_marks + - pinyin_numerals + Default Value - simplified versions: type: object properties: From 3e42a723d37a6dd878b7a762648af3315c2dd1e1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 28 Sep 2022 16:55:37 +0530 Subject: [PATCH 5409/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index dbf759bb2..c4e099990 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -266,11 +266,11 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are, - - simplified - - traditional - - pinyin_tone_marks - - pinyin_numerals + Specifies the output type of the transcript. There are four different values, they are,
+ - simplified
+ - traditional
+ - pinyin_tone_marks
+ - pinyin_numerals
Default Value - simplified versions: type: object From 086f4e9aaa8c6bf734a9a788db1ffbbdf623e33a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 28 Sep 2022 16:56:13 +0530 Subject: [PATCH 5410/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index ac9cd25c2..50b663c56 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -495,11 +495,11 @@ components: default: false example: simplified description: - Specifies the output type of the transcript. There are four different values, they are, - - simplified - - traditional - - pinyin_tone_marks - - pinyin_numerals + Specifies the output type of the transcript. There are four different values, they are,
+ - simplified
+ - traditional
+ - pinyin_tone_marks
+ - pinyin_numerals
Default Value - simplified uploadinput: type: object From 0050e460ba51ed9a1bdb79343e2e818a29642535 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 29 Sep 2022 12:45:56 +0530 Subject: [PATCH 5411/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index c4e099990..704b644bd 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -46,7 +46,6 @@ paths: message: Successfully Processed results: output: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 - output_type: "simplified" status: Success '401': description: Unauthorized @@ -127,10 +126,6 @@ components: type: string example: 杀魏忠贤小厨阴道你干吗中场的魏公qq最近上火厉害简单就是为了这失恋所有知情者都不 description: The speech recognition result. - output_type: - type: string - example: "simplified" - description: Specifies the output type of the transcript. status: type: string example: Success From 472ada33941c41ffea1e9f0dc7aab5e4a72089ee Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 29 Sep 2022 12:47:48 +0530 Subject: [PATCH 5412/5916] Update automatic_speech_recognition_chi.yaml --- voice/automatic_speech_recognition_chi.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi.yaml b/voice/automatic_speech_recognition_chi.yaml index 704b644bd..4134f4f4e 100644 --- a/voice/automatic_speech_recognition_chi.yaml +++ b/voice/automatic_speech_recognition_chi.yaml @@ -26,7 +26,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Sep 19, 2022" From 985837802b85d5e94e05e1174ec0272ca3969d30 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 6 Oct 2022 14:07:37 +0530 Subject: [PATCH 5413/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 5d96d3cdd..d9f31ec6c 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -17,7 +17,7 @@ info: text with ARPABET: I like to eat {T AH0 M AE1 T OW0 Z}

See https://en.wikipedia.org/wiki/ARPABET for full list of ARPABET notation. - version: 1.4.1 + version: 1.5.0 x-subscribelink: text-to-speech_eng x-apitype: small file x-apitypedescription: |+ @@ -35,13 +35,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.4.1" - description: "Published Date - Sep 27, 2022" +- name: "1.5.0" + description: "Published Date - Oct 06, 2022" paths: /microservices/voice/ttseng/v1/getpredictions: post: tags: - - v1.4.1 + - v1.5.0 responses: '200': description: success response @@ -235,22 +235,22 @@ components: versions: type: object properties: - v1.4.1: + v1.5.0: type: array items: oneOf: - type: string - example: 'Published Date - Sep 27,2022' + example: 'Published Date - Oct 06, 2022' description: |+ New Features: - - model female_generic removed and female_us added + - "Generic" model upgraded to more natural sounding "female_american" model x-details: New Features v1.4.0: type: array items: oneOf: - type: string - example: 'Published Date - Sep 21,2022' + example: 'Published Date - Sep 21, 2022' description: |+ New Features: - Improved pronunciation for abbreviations, units, measurements and currency @@ -267,7 +267,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Feb 18,2022' + example: 'Published Date - Feb 18, 2022' description: |+ New Features: - Added SSML support for more precise phonetic level pronunciations in the ARPABET notation @@ -278,7 +278,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Dec 25,2021' + example: 'Published Date - Dec 25, 2021' description: |+ Optimizations: - Further improvements to the speech waveform resulting in improvements in synthesis quality @@ -289,7 +289,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Nov 09,2021' + example: 'Published Date - Nov 09, 2021' description: |+ Optimizations: - Improve synthesis quality @@ -304,7 +304,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Oct 13,2021' + example: 'Published Date - Oct 13, 2021' description: |+ Bug fixes - Reduce missing words occurences x-details: Bug fixes @@ -313,7 +313,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Jun 7,2021' + example: 'Published Date - Jun 7, 2021' description: Stable release. Added the "female_singaporean" model with pitch and speed control. x-details: Stable release v0.1.0: @@ -321,7 +321,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Sep 28,2018' + example: 'Published Date - Sep 28, 2018' x-details: Initial version release description: Depreciated - Initial release input: From a44d44a096e5ad5220a8afc249abef28b8fe574d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 6 Oct 2022 14:08:19 +0530 Subject: [PATCH 5414/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index ea7979326..afb5d7e5f 100644 --- a/index.yaml +++ b/index.yaml @@ -49,7 +49,7 @@ voice: text-to-speech_eng: title: Text-To-Speech ENG versions: - 1.4.1: 'text-to-speech_eng.yaml' + 1.5.0: 'text-to-speech_eng.yaml' text-to-speech_chi: title: Text-To-Speech CHI versions: From 3cc15222bbb0459c4de8e09a526eefa69bc5c955 Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 12 Oct 2022 09:47:48 +0800 Subject: [PATCH 5415/5916] tts yaml update --- voice/text-to-speech_eng.yaml | 11 ----------- 1 file changed, 11 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index d9f31ec6c..00c755eba 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -137,10 +137,6 @@ components: example: Cuxz6/zqlupS6o/qL+vW66Dsle2e7tDv//AM8jfzbvR49WX2Off798/4k/ type: string format: byte - normalisedtext: - description: Normalised text - example: I want a credit card. - type: string message: type: string @@ -367,13 +363,6 @@ components: description: |+ The speed factor for the synthesized voice. It ranges between 0.75 and 1.25 and default is 1. **used only for the female_singaporean model. - show_normalized_output: - x-name: show_normalized_output - type: boolean - default: False - example: False - description: |+ - Normalised text text_normalization: x-name: text_normalization type: array From 2a99cc85949e14f2eb903cc0e51f5cd4cf422a2a Mon Sep 17 00:00:00 2001 From: divya Date: Wed, 12 Oct 2022 18:04:17 +0800 Subject: [PATCH 5416/5916] Bug fix --- nlp/inverse_text_normalisation_eng.yaml | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 0a997a470..95e5d479d 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -5,7 +5,7 @@ info: This NLP microservice recovers the missing punctuations such as full stop, comma, exclamation mark, and question mark from the input text.
It converts pre-defined abbreviations from lower case to upper case and also first letters of sentences to upper case.
The input text **should not exceed 5000 characters**. - version: '2.1.0' + version: '2.1.1' x-additionalinfo: |+ Suggested Use Cases: - Can be integrated into services or apps that offer digital writing assistance to make writing clear and effective. @@ -24,15 +24,15 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.1.0" - description: "Published Date - Aug 30, 2022" +- name: "v2.1.1" + description: "Published Date - Oct 12, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: tags: - - v2.1.0 + - v2.1.1 responses: '200': description: Ok @@ -213,7 +213,15 @@ components: example: Failure versions: type: object - properties: + properties: + v2.1.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Oct 12, 2022 + x-details: Bug fix + description: Bug fix v2.1.0: type: array items: From 6c02e22fe2420948a045483078561ecf5fe486ff Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 13 Oct 2022 09:33:00 +0530 Subject: [PATCH 5417/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 50b663c56..03d0005c6 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,10 +25,10 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Sep 19, 2022" + description: "Published Date - Oct 13, 2022" paths: /async/microservices/voice/asrsch/v0/getuploadurl: description: |+ @@ -413,7 +413,7 @@ components: items: oneOf: - type: string - example: Published Date - Sep 19, 2022 + example: Published Date - Oct 13, 2022 x-details: Output Parameters Aligned description: Latest Version v0.1.2: From 0126b908cf69a5d39380f894e18e3a096e067a33 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 13 Oct 2022 09:41:56 +0530 Subject: [PATCH 5418/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 03d0005c6..312f0d741 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -61,7 +61,7 @@ paths: x-goog-signature: 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 jid: 5292a71b45184424826c9089c103fb78 request_cost: 1.2675 - url: https://storage.googleapis.com/user_space_dev/ + url: https://storage.googleapis.com/lp_user_space_prod/ status: Success '401': description: Unauthorized @@ -130,7 +130,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 988a1276811a70564b4c9e03366a4c1cad42fb83 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 13 Oct 2022 11:47:36 +0530 Subject: [PATCH 5419/5916] Update text-to-speech_eng.yaml --- voice/text-to-speech_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/text-to-speech_eng.yaml b/voice/text-to-speech_eng.yaml index 00c755eba..af738ae1a 100644 --- a/voice/text-to-speech_eng.yaml +++ b/voice/text-to-speech_eng.yaml @@ -33,10 +33,10 @@ info: x-apidetailsdesc: |+ Converts English text to speech in a female voice. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "1.5.0" - description: "Published Date - Oct 06, 2022" + description: "Published Date - Oct 13, 2022" paths: /microservices/voice/ttseng/v1/getpredictions: post: @@ -236,7 +236,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Oct 06, 2022' + example: 'Published Date - Oct 13, 2022' description: |+ New Features: - "Generic" model upgraded to more natural sounding "female_american" model From bd6fec3ff05a4d9ebdc47f5c508516adcd7fe5a9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 14 Oct 2022 14:13:56 +0530 Subject: [PATCH 5420/5916] Update asr_en_unified.yaml --- voice/asr_en_unified.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_en_unified.yaml b/voice/asr_en_unified.yaml index aabf2e266..3fded58b8 100644 --- a/voice/asr_en_unified.yaml +++ b/voice/asr_en_unified.yaml @@ -21,7 +21,7 @@ info: x-apidetailsdesc: |+ Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Sep 20, 2022" From 898d49a8d48cefd87b8a29d499f791113441bf70 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Fri, 14 Oct 2022 15:32:00 +0530 Subject: [PATCH 5421/5916] add site api update --- analytics/content_interest_profile.yaml | 106 ++++++++++++++++++++++++ 1 file changed, 106 insertions(+) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index ccac59312..fa0826013 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -64,6 +64,73 @@ tags: - name: "v0.1.0" description: "Published Date - Apr 20, 2022" paths: + /microservices/analytics/ciprofile/v0/addsite: + description: |+ + This API is used to create site and get tracking script + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/successsite' + example: + results: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/siteinput' + required: true /microservices/analytics/ciprofile/v0/getinterestprofile: description: |+ This API is used to get interest profile of the unique user to the website. @@ -1163,6 +1230,21 @@ paths: required: true components: schemas: + successsite: + type: object + properties: + results: + type: string + example: + description: Tracking script + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure successcontentprofile: type: object properties: @@ -1917,6 +1999,30 @@ components: -- lastX for the last X periods including today -- previousX returns the last X periods before today -- YYYY-MM-DD,YYYY-MM-DD for every period + siteinput: + type: object + required: + - site_name + - site_url + properties: + site_name: + type: string + default: true + example: Your site name + description: |+ + The name of the website for tracking. + site_url: + type: string + default: true + example: Your site url + description: |+ + The Domain URL of the website for tracking. + time_zone: + type: string + default: false + example: Asia\/Singapore + description: |+ + Optional. Timezone for the websites visitdetailsinput: type: object required: From 147abd8d2bdbaf0b06796505b948f05057ef0093 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 19 Oct 2022 12:48:48 +0530 Subject: [PATCH 5422/5916] Create whisper_asr.yaml --- voice/whisper_asr.yaml | 371 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 371 insertions(+) create mode 100644 voice/whisper_asr.yaml diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml new file mode 100644 index 000000000..fef2546a7 --- /dev/null +++ b/voice/whisper_asr.yaml @@ -0,0 +1,371 @@ + +openapi: 3.0.1 +info: + title: Whisper ASR + description: |+ + It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language + x-additionalinfo : |+ + * **Supported Languages:** + | **Code** | **Name** | + |:-------------------------------------------:|:--------------------:| + + |en|english| + |zh|chinese| + |de|german| + |es|spanish| + |ru|russian| + |ko|korean| + |fr|french| + |ja|japanese| + |pt|portuguese| + |tr|turkish| + |pl|polish| + |ca|catalan| + |nl|dutch| + |ar|arabic| + |sv|swedish| + |it|italian| + |id|indonesian| + |hi|hindi| + |fi|finnish| + |vi|vietnamese| + |iw|hebrew| + |uk|ukrainian| + |el|greek| + |ms|malay| + |cs|czech| + |ro|romanian| + |da|danish| + |hu|hungarian| + |ta|tamil| + |no|norwegian| + |th|thai| + |ur|urdu| + |hr|croatian| + |bg|bulgarian| + |lt|lithuanian| + |la|latin| + |mi|maori| + |ml|malayalam| + |cy|welsh| + |sk|slovak| + |te|telugu| + |fa|persian| + |lv|latvian| + |bn|bengali| + |sr|serbian| + |az|azerbaijani| + |sl|slovenian| + |kn|kannada| + |et|estonian| + |mk|macedonian| + |br|breton| + |eu|basque| + |is|icelandic| + |hy|armenian| + |ne|nepali| + |mn|mongolian| + |bs|bosnian| + |kk|kazakh| + |sq|albanian| + |sw|swahili| + |gl|galician| + |mr|marathi| + |pa|punjabi| + |si|sinhala| + |km|khmer| + |sn|shona| + |yo|yoruba| + |so|somali| + |af|afrikaans| + |oc|occitan| + |ka|georgian| + |be|belarusian| + |tg|tajik| + |sd|sindhi| + |gu|gujarati| + |am|amharic| + |yi|yiddish| + |lo|lao| + |uz|uzbek| + |fo|faroese| + |ht|haitian creole| + |ps|pashto| + |tk|turkmen| + |nn|nynorsk| + |mt|maltese| + |sa|sanskrit| + |lb|luxembourgish| + |my|myanmar| + |bo|tibetan| + |tl|tagalog| + |mg|malagasy| + |as|assamese| + |tt|tatar| + |haw|hawaiian| + |ln|lingala| + |ha|hausa| + |ba|bashkir| + |jw|javanese| + |su|sundanese| + + version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 20, 2022" +paths: + /microservices/voice/whisperasr/v0/gettranscript: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + transcript: + description: Transcriptied Text + example: What is the difference between fixed and floating green spaces? + type: string + translation: + description: Translated Text + example: What is the difference between a fixed and floating green? + type: string + input_audio_language: + description: Input audio language + example: What is the difference between a fixed and floating green? + type: string + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - wav_base64 + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + translate: + type: boolean + default: false + example: false + description: + Tranlate to other language. + model_type: + type: string + default: false + example: simplified + description: + Specifies the model type of the transcript. There are five different values, they are,
+ - tiny
+ - base
+ - small
+ - medium
+ - large
+ Default Value - medium + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 4a3f1ab026a3ddbea14681f55074bfffc106ae7a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 19 Oct 2022 12:52:44 +0530 Subject: [PATCH 5423/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index fef2546a7..3292f1af7 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -8,8 +8,7 @@ info: * **Supported Languages:** | **Code** | **Name** | |:-------------------------------------------:|:--------------------:| - - |en|english| + | en |english | |zh|chinese| |de|german| |es|spanish| From e49c4d636d906bd2329415618b7aabd53aa0265f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 19 Oct 2022 12:53:43 +0530 Subject: [PATCH 5424/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 3292f1af7..6559470c1 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -108,7 +108,7 @@ info: |jw|javanese| |su|sundanese| - version: 1.4.0 + version: 0.1.0 x-subscribelink: speech_enhancement x-apitype: small file x-apitypedescription: |+ From 60a4f4a48df3148747c53e32f53705578c5ff16f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 19 Oct 2022 13:33:31 +0530 Subject: [PATCH 5425/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 6559470c1..99ee60f84 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -360,7 +360,13 @@ components: - small
- medium
- large
- Default Value - medium + Default Value - medium + language: + type: string + default: true + example: en + description: |+ + The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language, e.g. 'en' for English securitySchemes: APIAuthorizer: type: apiKey From c164a7304f8b2bdd770a947e3dc977a57d710b7f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 19 Oct 2022 14:28:00 +0530 Subject: [PATCH 5426/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 202 ++++++++++++++++++++--------------------- 1 file changed, 101 insertions(+), 101 deletions(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 99ee60f84..6b1381f7a 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -6,107 +6,107 @@ info: It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language x-additionalinfo : |+ * **Supported Languages:** - | **Code** | **Name** | - |:-------------------------------------------:|:--------------------:| - | en |english | - |zh|chinese| - |de|german| - |es|spanish| - |ru|russian| - |ko|korean| - |fr|french| - |ja|japanese| - |pt|portuguese| - |tr|turkish| - |pl|polish| - |ca|catalan| - |nl|dutch| - |ar|arabic| - |sv|swedish| - |it|italian| - |id|indonesian| - |hi|hindi| - |fi|finnish| - |vi|vietnamese| - |iw|hebrew| - |uk|ukrainian| - |el|greek| - |ms|malay| - |cs|czech| - |ro|romanian| - |da|danish| - |hu|hungarian| - |ta|tamil| - |no|norwegian| - |th|thai| - |ur|urdu| - |hr|croatian| - |bg|bulgarian| - |lt|lithuanian| - |la|latin| - |mi|maori| - |ml|malayalam| - |cy|welsh| - |sk|slovak| - |te|telugu| - |fa|persian| - |lv|latvian| - |bn|bengali| - |sr|serbian| - |az|azerbaijani| - |sl|slovenian| - |kn|kannada| - |et|estonian| - |mk|macedonian| - |br|breton| - |eu|basque| - |is|icelandic| - |hy|armenian| - |ne|nepali| - |mn|mongolian| - |bs|bosnian| - |kk|kazakh| - |sq|albanian| - |sw|swahili| - |gl|galician| - |mr|marathi| - |pa|punjabi| - |si|sinhala| - |km|khmer| - |sn|shona| - |yo|yoruba| - |so|somali| - |af|afrikaans| - |oc|occitan| - |ka|georgian| - |be|belarusian| - |tg|tajik| - |sd|sindhi| - |gu|gujarati| - |am|amharic| - |yi|yiddish| - |lo|lao| - |uz|uzbek| - |fo|faroese| - |ht|haitian creole| - |ps|pashto| - |tk|turkmen| - |nn|nynorsk| - |mt|maltese| - |sa|sanskrit| - |lb|luxembourgish| - |my|myanmar| - |bo|tibetan| - |tl|tagalog| - |mg|malagasy| - |as|assamese| - |tt|tatar| - |haw|hawaiian| - |ln|lingala| - |ha|hausa| - |ba|bashkir| - |jw|javanese| - |su|sundanese| + | **Code** | **Name** | + |:--------------------:|:--------------------------:| + | en | english | + | zh | chinese | + | de | german | + | es | spanish | + | ru | russian | + | ko | korean | + | fr | french | + | ja | japanese | + | pt | portuguese | + | tr | turkish | + | pl | polish | + | ca | catalan | + | nl | dutch | + | ar | arabic | + | sv | swedish | + | it | italian | + | id | indonesian | + | hi | hindi | + | fi | finnish | + | vi | vietnamese | + | iw | hebrew | + | uk | ukrainian | + | el | greek | + | ms | malay | + | cs | czech | + | ro | romanian | + | da | danish | + | hu | hungarian | + | ta | tamil | + | no | norwegian | + | th | thai | + | ur | urdu | + | hr | croatian | + | bg | bulgarian | + | lt | lithuanian | + | la | latin | + | mi | maori | + | ml | malayalam | + | cy | welsh | + | sk | slovak | + | te | telugu | + | fa | persian | + | lv | latvian | + | bn | bengali | + | sr | serbian | + | az | azerbaijani | + | sl | slovenian | + | kn | kannada | + | et | estonian | + | mk | macedonian | + | br | breton | + | eu | basque | + | is | icelandic | + | hy | armenian | + | ne | nepali | + | mn | mongolian | + | bs | bosnian | + | kk | kazakh | + | sq | albanian | + | sw | swahili | + | gl | galician | + | mr | marathi | + | pa | punjabi | + | si | sinhala | + | km | khmer | + | sn | shona | + | yo | yoruba | + | so | somali | + | af | afrikaans | + | oc | occitan | + | ka | georgian | + | be | belarusian | + | tg | tajik | + | sd | sindhi | + | gu | gujarati | + | am | amharic | + | yi | yiddish | + | lo | lao | + | uz | uzbek | + | fo | faroese | + | ht | haitian creole | + | ps | pashto | + | tk | turkmen | + | nn | nynorsk | + | mt | maltese | + | sa | sanskrit | + | lb | luxembourgish | + | my | myanmar | + | bo | tibetan | + | tl | tagalog | + | mg | malagasy | + | as | assamese | + | tt | tatar | + | haw | hawaiian | + | ln | lingala | + | ha | hausa | + | ba | bashkir | + | jw | javanese | + | su | sundanese | version: 0.1.0 x-subscribelink: speech_enhancement From a33f2a7260d112514af796b8be7ff5d9a5716392 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 19 Oct 2022 14:45:47 +0530 Subject: [PATCH 5427/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 6b1381f7a..7ddc18fad 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -4,6 +4,7 @@ info: title: Whisper ASR description: |+ It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language + The length of your audio **should not exceed 60 seconds**. x-additionalinfo : |+ * **Supported Languages:** | **Code** | **Name** | @@ -352,7 +353,7 @@ components: model_type: type: string default: false - example: simplified + example: medium description: Specifies the model type of the transcript. There are five different values, they are,
- tiny
From c9587de73b49aebc9206e47715a1d93326ff6dfc Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 19 Oct 2022 15:28:34 +0530 Subject: [PATCH 5428/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 244 ++++++++++++++++++++++++----------------- 1 file changed, 142 insertions(+), 102 deletions(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 7ddc18fad..6d4536abf 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -5,109 +5,149 @@ info: description: |+ It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language The length of your audio **should not exceed 60 seconds**. - x-additionalinfo : |+ + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

* **Supported Languages:** - | **Code** | **Name** | - |:--------------------:|:--------------------------:| - | en | english | - | zh | chinese | - | de | german | - | es | spanish | - | ru | russian | - | ko | korean | - | fr | french | - | ja | japanese | - | pt | portuguese | - | tr | turkish | - | pl | polish | - | ca | catalan | - | nl | dutch | - | ar | arabic | - | sv | swedish | - | it | italian | - | id | indonesian | - | hi | hindi | - | fi | finnish | - | vi | vietnamese | - | iw | hebrew | - | uk | ukrainian | - | el | greek | - | ms | malay | - | cs | czech | - | ro | romanian | - | da | danish | - | hu | hungarian | - | ta | tamil | - | no | norwegian | - | th | thai | - | ur | urdu | - | hr | croatian | - | bg | bulgarian | - | lt | lithuanian | - | la | latin | - | mi | maori | - | ml | malayalam | - | cy | welsh | - | sk | slovak | - | te | telugu | - | fa | persian | - | lv | latvian | - | bn | bengali | - | sr | serbian | - | az | azerbaijani | - | sl | slovenian | - | kn | kannada | - | et | estonian | - | mk | macedonian | - | br | breton | - | eu | basque | - | is | icelandic | - | hy | armenian | - | ne | nepali | - | mn | mongolian | - | bs | bosnian | - | kk | kazakh | - | sq | albanian | - | sw | swahili | - | gl | galician | - | mr | marathi | - | pa | punjabi | - | si | sinhala | - | km | khmer | - | sn | shona | - | yo | yoruba | - | so | somali | - | af | afrikaans | - | oc | occitan | - | ka | georgian | - | be | belarusian | - | tg | tajik | - | sd | sindhi | - | gu | gujarati | - | am | amharic | - | yi | yiddish | - | lo | lao | - | uz | uzbek | - | fo | faroese | - | ht | haitian creole | - | ps | pashto | - | tk | turkmen | - | nn | nynorsk | - | mt | maltese | - | sa | sanskrit | - | lb | luxembourgish | - | my | myanmar | - | bo | tibetan | - | tl | tagalog | - | mg | malagasy | - | as | assamese | - | tt | tatar | - | haw | hawaiian | - | ln | lingala | - | ha | hausa | - | ba | bashkir | - | jw | javanese | - | su | sundanese | + + | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | + |:-------------------------------------------:|:--------------------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| + | Afrikaans (South Africa) | af-ZA | No | Yes | No | No | + | Albanian (Albania) | sq-AL | No | Yes | No | No | + | Amharic (Ethiopia) | am-ET | No | Yes | No | No | + | Arabic (Algeria) | ar-DZ | No | Yes | No | No | + | Arabic (Bahrain) | ar-BH | No | Yes | No | No | + | Arabic (Egypt) | ar-EG | No | Yes | No | No | + | Arabic (Iraq) | ar-IQ | No | Yes | No | No | + | Arabic (Israel) | ar-IL | No | Yes | No | No | + | Arabic (Jordan) | ar-JO | No | Yes | No | No | + | Arabic (Kuwait) | ar-KW | No | Yes | No | No | + | Arabic (Lebanon) | ar-LB | No | Yes | No | No | + | Arabic (Morocco) | ar-MA | No | Yes | No | No | + | Arabic (Oman) | ar-OM | No | Yes | No | No | + | Arabic (Qatar) | ar-QA | No | Yes | No | No | + | Arabic (Saudi Arabia) | ar-SA | No | Yes | No | No | + | Arabic (State of Palestine) | ar-PS | No | Yes | No | No | + | Arabic (Tunisia) | ar-TN | No | Yes | No | No | + | Arabic (United Arab Emirates) | ar-AE | No | Yes | No | No | + | Arabic (Yemen) | ar-YE | No | Yes | No | No | + | Armenian (Armenia) | hy-AM | No | Yes | No | No | + | Azerbaijani (Azerbaijan) | az-AZ | No | Yes | No | No | + | Basque (Spain) | eu-ES | No | Yes | No | No | + | Bengali (Bangladesh) | bn-BD | No | Yes | No | No | + | Bengali (India) | bn-IN | No | Yes | No | No | + | Bosnian (Bosnia and Herzegovina) | bs-BA | No | Yes | No | No | + | Bulgarian (Bulgaria) | bg-BG | No | Yes | No | No | + | Burmese (Myanmar) | my-MM | No | Yes | No | No | + | Catalan (Spain) | ca-ES | No | Yes | No | No | + | Chinese, Cantonese (Traditional Hong Kong) | yue-Hant-HK | No | Yes | No | No | + | Chinese, Mandarin (Simplified, China) | zh | Yes | Yes | No | No | + | Chinese, Mandarin (Traditional, Taiwan) | zh-TW | Yes | Yes | No | No | + | Croatian (Croatia) | hr-HR | No | Yes | No | No | + | Czech (Czech Republic) | cs-CZ | Yes | Yes | Yes | No | + | Danish (Denmark) | da-DK | Yes | Yes | Yes | No | + | Dutch (Belgium) | nl-BE | No | Yes | Yes | No | + | Dutch (Netherlands) | nl-NL | No | Yes | Yes | No | + | English (Australia) | en-AU | Yes | Yes | Yes | Yes | + | English (Canada) | en-CA | No | Yes | No | No | + | English (Ghana) | en-GH | No | Yes | Yes | No | + | English (Hong Kong) | en-HK | No | Yes | Yes | Yes | + | English (India) | en-IN | Yes | Yes | Yes | Yes | + | English (Ireland) | en-IE | No | Yes | Yes | Yes | + | English (Kenya) | en-KE | No | Yes | Yes | No | + | English (New Zealand) | en-NZ | No | Yes | Yes | Yes | + | English (Nigeria) | en-NG | No | Yes | Yes | No | + | English (Pakistan) | en-PK | No | Yes | Yes | Yes | + | English (Philippines) | en-PH | No | Yes | No | No | + | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | + | English (South Africa) | en-ZA | No | Yes | Yes | No | + | English (Tanzania) | en-TZ | No | Yes | Yes | No | + | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | + | English (United States) | en-US | Yes | Yes | Yes | Yes | + | Estonian (Estonia) | et-EE | No | Yes | No | No | + | Filipino (Philippines) | fil-PH | No | Yes | No | No | + | Finnish (Finland) | fi-FI | No | Yes | No | No | + | French (Belgium) | fr-BE | No | Yes | Yes | Yes | + | French (Canada) | fr-CA | No | Yes | Yes | No | + | French (France) | fr-FR | Yes | Yes | Yes | Yes | + | French (Switzerland) | fr-CH | No | Yes | Yes | Yes | + | Galician (Spain) | gl-ES | No | Yes | No | No | + | Georgian (Georgia) | ka-GE | No | Yes | No | No | + | German (Austria) | de-AT | No | Yes | Yes | No | + | German (Germany) | de-DE | Yes | Yes | Yes | No | + | German (Switzerland) | de-CH | No | Yes | Yes | No | + | Greek (Greece) | el-GR | No | Yes | No | No | + | Gujarati (India) | gu-IN | No | Yes | No | No | + | Hebrew (Israel) | iw-IL | No | Yes | Yes | No | + | Hindi (India) | hi-IN | No | Yes | Yes | No | + | Hungarian (Hungary) | hu-HU | No | Yes | No | No | + | Icelandic (Iceland) | is-IS | No | Yes | No | No | + | Indonesian (Indonesia) | id-ID | Yes | Yes | Yes | No | + | Italian (Italy) | it-IT | Yes | Yes | Yes | No | + | Italian (Switzerland) | it-CH | No | Yes | Yes | No | + | Japanese (Japan) | ja-JP | Yes | Yes | Yes | No | + | Javanese (Indonesia) | jv-ID | No | Yes | No | No | + | Kannada (India) | kn-IN | No | Yes | No | No | + | Kazakh (Kazakhstan) | kk-KZ | No | Yes | No | No | + | Khmer (Cambodia) | km-KH | No | Yes | No | No | + | Korean (South Korea) | ko-KR | Yes | Yes | Yes | Yes | + | Lao (Laos) | lo-LA | No | Yes | No | No | + | Latvian (Latvia) | lv-LV | No | Yes | No | No | + | Lithuanian (Lithuania) | lt-LT | No | Yes | No | No | + | Macedonian (North Macedonia) | mk-MK | No | Yes | No | No | + | Malay (Malaysia) | ms-MY | No | Yes | No | No | + | Malayalam (India) | ml-IN | No | Yes | No | No | + | Marathi (India) | mr-IN | No | Yes | No | No | + | Mongolian (Mongolia) | mn-MN | No | Yes | No | No | + | Nepali (Nepal) | ne-NP | No | Yes | No | No | + | Norwegian Bokmål (Norway) | no-NO | No | Yes | Yes | No | + | Persian (Iran) | fa-IR | No | Yes | No | No | + | Polish (Poland) | pl-PL | No | Yes | Yes | No | + | Portuguese (Brazil) | pt-BR | No | Yes | Yes | No | + | Portuguese (Portugal) | pt-PT | No | Yes | Yes | No | + | Punjabi (Gurmukhi India) | pa-Guru-IN | No | Yes | Yes | No | + | Romanian (Romania) | ro-RO | No | Yes | No | No | + | Russian (Russia) | ru-RU | No | Yes | Yes | No | + | Serbian (Serbia) | sr-RS | No | Yes | No | No | + | Sinhala (Sri Lanka) | si-LK | No | Yes | No | No | + | Slovak (Slovakia) | sk-SK | No | Yes | No | No | + | Slovenian (Slovenia) | sl-SI | No | Yes | No | No | + | Spanish (Argentina) | es-AR | No | Yes | Yes | No | + | Spanish (Bolivia) | es-BO | No | Yes | Yes | No | + | Spanish (Chile) | es-CL | No | Yes | Yes | No | + | Spanish (Colombia) | es-CO | No | Yes | Yes | No | + | Spanish (Costa Rica) | es-CR | No | Yes | Yes | No | + | Spanish (Dominican Republic) | es-DO | No | Yes | Yes | No | + | Spanish (Ecuador) | es-EC | No | Yes | Yes | No | + | Spanish (El Salvador) | es-SV | No | Yes | Yes | No | + | Spanish (Guatemala) | es-GT | No | Yes | Yes | No | + | Spanish (Honduras) | es-HN | No | Yes | Yes | No | + | Spanish (Mexico) | es-MX | No | Yes | Yes | No | + | Spanish (Nicaragua) | es-NI | No | Yes | Yes | No | + | Spanish (Panama) | es-PA | No | Yes | Yes | No | + | Spanish (Paraguay) | es-PY | No | Yes | Yes | No | + | Spanish (Peru) | es-PE | No | Yes | Yes | No | + | Spanish (Puerto Rico) | es-PR | No | Yes | Yes | No | + | Spanish (Spain) | es-ES | No | Yes | Yes | No | + | Spanish (United States) | es-US | Yes | Yes | Yes | No | + | Spanish (Uruguay) | es-UY | No | Yes | Yes | No | + | Spanish (Venezuela) | es-VE | No | Yes | Yes | No | + | Sundanese (Indonesia) | su-ID | No | Yes | No | No | + | Swahili (Kenya) | sw-KE | No | Yes | No | No | + | Swahili (Tanzania) | sw-TZ | No | Yes | No | No | + | Swedish (Sweden) | sv-SE | Yes | Yes | Yes | No | + | Tamil (India) | ta-IN | No | Yes | No | No | + | Tamil (Malaysia) | ta-MY | No | Yes | No | No | + | Tamil (Singapore) | ta-SG | No | Yes | No | No | + | Tamil (Sri Lanka) | ta-LK | No | Yes | No | No | + | Telugu (India) | te-IN | No | Yes | No | No | + | Thai (Thailand) | th-TH | No | Yes | No | No | + | Turkish (Turkey) | tr-TR | Yes | Yes | Yes | No | + | Ukrainian (Ukraine) | uk-UA | No | Yes | No | No | + | Urdu (India) | ur-IN | No | Yes | No | No | + | Urdu (Pakistan) | ur-PK | No | Yes | No | No | + | Uzbek (Uzbekistan) | uz-UZ | No | Yes | No | No | + | Vietnamese (Vietnam) | vi-VN | No | Yes | No | No | + | Zulu (South Africa) | zu-ZA | No | Yes | No | No | version: 0.1.0 x-subscribelink: speech_enhancement From 198b6fab64143fef8ccef87a88b5322975be62f5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 19 Oct 2022 15:41:02 +0530 Subject: [PATCH 5429/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 145 ++--------------------------------------- 1 file changed, 6 insertions(+), 139 deletions(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 6d4536abf..d795b1f2b 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -9,145 +9,12 @@ info: Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

* **Supported Languages:** - | **Name** | **Code** | **Automatic punctuation** | **Profanity filter** | **Spoken punctuation** | **Spoken emojis** | - |:-------------------------------------------:|:--------------------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------:| - | Afrikaans (South Africa) | af-ZA | No | Yes | No | No | - | Albanian (Albania) | sq-AL | No | Yes | No | No | - | Amharic (Ethiopia) | am-ET | No | Yes | No | No | - | Arabic (Algeria) | ar-DZ | No | Yes | No | No | - | Arabic (Bahrain) | ar-BH | No | Yes | No | No | - | Arabic (Egypt) | ar-EG | No | Yes | No | No | - | Arabic (Iraq) | ar-IQ | No | Yes | No | No | - | Arabic (Israel) | ar-IL | No | Yes | No | No | - | Arabic (Jordan) | ar-JO | No | Yes | No | No | - | Arabic (Kuwait) | ar-KW | No | Yes | No | No | - | Arabic (Lebanon) | ar-LB | No | Yes | No | No | - | Arabic (Morocco) | ar-MA | No | Yes | No | No | - | Arabic (Oman) | ar-OM | No | Yes | No | No | - | Arabic (Qatar) | ar-QA | No | Yes | No | No | - | Arabic (Saudi Arabia) | ar-SA | No | Yes | No | No | - | Arabic (State of Palestine) | ar-PS | No | Yes | No | No | - | Arabic (Tunisia) | ar-TN | No | Yes | No | No | - | Arabic (United Arab Emirates) | ar-AE | No | Yes | No | No | - | Arabic (Yemen) | ar-YE | No | Yes | No | No | - | Armenian (Armenia) | hy-AM | No | Yes | No | No | - | Azerbaijani (Azerbaijan) | az-AZ | No | Yes | No | No | - | Basque (Spain) | eu-ES | No | Yes | No | No | - | Bengali (Bangladesh) | bn-BD | No | Yes | No | No | - | Bengali (India) | bn-IN | No | Yes | No | No | - | Bosnian (Bosnia and Herzegovina) | bs-BA | No | Yes | No | No | - | Bulgarian (Bulgaria) | bg-BG | No | Yes | No | No | - | Burmese (Myanmar) | my-MM | No | Yes | No | No | - | Catalan (Spain) | ca-ES | No | Yes | No | No | - | Chinese, Cantonese (Traditional Hong Kong) | yue-Hant-HK | No | Yes | No | No | - | Chinese, Mandarin (Simplified, China) | zh | Yes | Yes | No | No | - | Chinese, Mandarin (Traditional, Taiwan) | zh-TW | Yes | Yes | No | No | - | Croatian (Croatia) | hr-HR | No | Yes | No | No | - | Czech (Czech Republic) | cs-CZ | Yes | Yes | Yes | No | - | Danish (Denmark) | da-DK | Yes | Yes | Yes | No | - | Dutch (Belgium) | nl-BE | No | Yes | Yes | No | - | Dutch (Netherlands) | nl-NL | No | Yes | Yes | No | - | English (Australia) | en-AU | Yes | Yes | Yes | Yes | - | English (Canada) | en-CA | No | Yes | No | No | - | English (Ghana) | en-GH | No | Yes | Yes | No | - | English (Hong Kong) | en-HK | No | Yes | Yes | Yes | - | English (India) | en-IN | Yes | Yes | Yes | Yes | - | English (Ireland) | en-IE | No | Yes | Yes | Yes | - | English (Kenya) | en-KE | No | Yes | Yes | No | - | English (New Zealand) | en-NZ | No | Yes | Yes | Yes | - | English (Nigeria) | en-NG | No | Yes | Yes | No | - | English (Pakistan) | en-PK | No | Yes | Yes | Yes | - | English (Philippines) | en-PH | No | Yes | No | No | - | English (Singapore) | en-SG | Yes | Yes | Yes | Yes | - | English (South Africa) | en-ZA | No | Yes | Yes | No | - | English (Tanzania) | en-TZ | No | Yes | Yes | No | - | English (United Kingdom) | en-GB | Yes | Yes | Yes | Yes | - | English (United States) | en-US | Yes | Yes | Yes | Yes | - | Estonian (Estonia) | et-EE | No | Yes | No | No | - | Filipino (Philippines) | fil-PH | No | Yes | No | No | - | Finnish (Finland) | fi-FI | No | Yes | No | No | - | French (Belgium) | fr-BE | No | Yes | Yes | Yes | - | French (Canada) | fr-CA | No | Yes | Yes | No | - | French (France) | fr-FR | Yes | Yes | Yes | Yes | - | French (Switzerland) | fr-CH | No | Yes | Yes | Yes | - | Galician (Spain) | gl-ES | No | Yes | No | No | - | Georgian (Georgia) | ka-GE | No | Yes | No | No | - | German (Austria) | de-AT | No | Yes | Yes | No | - | German (Germany) | de-DE | Yes | Yes | Yes | No | - | German (Switzerland) | de-CH | No | Yes | Yes | No | - | Greek (Greece) | el-GR | No | Yes | No | No | - | Gujarati (India) | gu-IN | No | Yes | No | No | - | Hebrew (Israel) | iw-IL | No | Yes | Yes | No | - | Hindi (India) | hi-IN | No | Yes | Yes | No | - | Hungarian (Hungary) | hu-HU | No | Yes | No | No | - | Icelandic (Iceland) | is-IS | No | Yes | No | No | - | Indonesian (Indonesia) | id-ID | Yes | Yes | Yes | No | - | Italian (Italy) | it-IT | Yes | Yes | Yes | No | - | Italian (Switzerland) | it-CH | No | Yes | Yes | No | - | Japanese (Japan) | ja-JP | Yes | Yes | Yes | No | - | Javanese (Indonesia) | jv-ID | No | Yes | No | No | - | Kannada (India) | kn-IN | No | Yes | No | No | - | Kazakh (Kazakhstan) | kk-KZ | No | Yes | No | No | - | Khmer (Cambodia) | km-KH | No | Yes | No | No | - | Korean (South Korea) | ko-KR | Yes | Yes | Yes | Yes | - | Lao (Laos) | lo-LA | No | Yes | No | No | - | Latvian (Latvia) | lv-LV | No | Yes | No | No | - | Lithuanian (Lithuania) | lt-LT | No | Yes | No | No | - | Macedonian (North Macedonia) | mk-MK | No | Yes | No | No | - | Malay (Malaysia) | ms-MY | No | Yes | No | No | - | Malayalam (India) | ml-IN | No | Yes | No | No | - | Marathi (India) | mr-IN | No | Yes | No | No | - | Mongolian (Mongolia) | mn-MN | No | Yes | No | No | - | Nepali (Nepal) | ne-NP | No | Yes | No | No | - | Norwegian Bokmål (Norway) | no-NO | No | Yes | Yes | No | - | Persian (Iran) | fa-IR | No | Yes | No | No | - | Polish (Poland) | pl-PL | No | Yes | Yes | No | - | Portuguese (Brazil) | pt-BR | No | Yes | Yes | No | - | Portuguese (Portugal) | pt-PT | No | Yes | Yes | No | - | Punjabi (Gurmukhi India) | pa-Guru-IN | No | Yes | Yes | No | - | Romanian (Romania) | ro-RO | No | Yes | No | No | - | Russian (Russia) | ru-RU | No | Yes | Yes | No | - | Serbian (Serbia) | sr-RS | No | Yes | No | No | - | Sinhala (Sri Lanka) | si-LK | No | Yes | No | No | - | Slovak (Slovakia) | sk-SK | No | Yes | No | No | - | Slovenian (Slovenia) | sl-SI | No | Yes | No | No | - | Spanish (Argentina) | es-AR | No | Yes | Yes | No | - | Spanish (Bolivia) | es-BO | No | Yes | Yes | No | - | Spanish (Chile) | es-CL | No | Yes | Yes | No | - | Spanish (Colombia) | es-CO | No | Yes | Yes | No | - | Spanish (Costa Rica) | es-CR | No | Yes | Yes | No | - | Spanish (Dominican Republic) | es-DO | No | Yes | Yes | No | - | Spanish (Ecuador) | es-EC | No | Yes | Yes | No | - | Spanish (El Salvador) | es-SV | No | Yes | Yes | No | - | Spanish (Guatemala) | es-GT | No | Yes | Yes | No | - | Spanish (Honduras) | es-HN | No | Yes | Yes | No | - | Spanish (Mexico) | es-MX | No | Yes | Yes | No | - | Spanish (Nicaragua) | es-NI | No | Yes | Yes | No | - | Spanish (Panama) | es-PA | No | Yes | Yes | No | - | Spanish (Paraguay) | es-PY | No | Yes | Yes | No | - | Spanish (Peru) | es-PE | No | Yes | Yes | No | - | Spanish (Puerto Rico) | es-PR | No | Yes | Yes | No | - | Spanish (Spain) | es-ES | No | Yes | Yes | No | - | Spanish (United States) | es-US | Yes | Yes | Yes | No | - | Spanish (Uruguay) | es-UY | No | Yes | Yes | No | - | Spanish (Venezuela) | es-VE | No | Yes | Yes | No | - | Sundanese (Indonesia) | su-ID | No | Yes | No | No | - | Swahili (Kenya) | sw-KE | No | Yes | No | No | - | Swahili (Tanzania) | sw-TZ | No | Yes | No | No | - | Swedish (Sweden) | sv-SE | Yes | Yes | Yes | No | - | Tamil (India) | ta-IN | No | Yes | No | No | - | Tamil (Malaysia) | ta-MY | No | Yes | No | No | - | Tamil (Singapore) | ta-SG | No | Yes | No | No | - | Tamil (Sri Lanka) | ta-LK | No | Yes | No | No | - | Telugu (India) | te-IN | No | Yes | No | No | - | Thai (Thailand) | th-TH | No | Yes | No | No | - | Turkish (Turkey) | tr-TR | Yes | Yes | Yes | No | - | Ukrainian (Ukraine) | uk-UA | No | Yes | No | No | - | Urdu (India) | ur-IN | No | Yes | No | No | - | Urdu (Pakistan) | ur-PK | No | Yes | No | No | - | Uzbek (Uzbekistan) | uz-UZ | No | Yes | No | No | - | Vietnamese (Vietnam) | vi-VN | No | Yes | No | No | - | Zulu (South Africa) | zu-ZA | No | Yes | No | No | + | **Code** | **Name** | + |:-------------------------------------------:|:--------------------:| + | en | english | + | zh | english | + | en | english | + | zh | english | version: 0.1.0 x-subscribelink: speech_enhancement From 5863ebef807a23b9c042d9343d30d35c2bed4294 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 19 Oct 2022 15:42:30 +0530 Subject: [PATCH 5430/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index d795b1f2b..f002800e0 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -13,8 +13,8 @@ info: |:-------------------------------------------:|:--------------------:| | en | english | | zh | english | - | en | english | - | zh | english | + | en1 | english | + | zh1 | english | version: 0.1.0 x-subscribelink: speech_enhancement From cf355738cc3f19e551eccc665595ffa1d8f2dfe6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 19 Oct 2022 16:53:07 +0530 Subject: [PATCH 5431/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 103 +++++++++++++++++++++++++++++++++++++++-- 1 file changed, 99 insertions(+), 4 deletions(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index f002800e0..9f1b1b702 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -11,10 +11,105 @@ info: | **Code** | **Name** | |:-------------------------------------------:|:--------------------:| - | en | english | - | zh | english | - | en1 | english | - | zh1 | english | + | en | english | + | zh | chinese | + | de | german | + | es | spanish | + | ru | russian | + | ko | korean | + | fr | french | + | ja | japanese | + | pt | portuguese | + | tr | turkish | + | pl | polish | + | ca | catalan | + | nl | dutch | + | ar | arabic | + | sv | swedish | + | it | italian | + | id | indonesian | + | hi | hindi | + | fi | finnish | + | vi | vietnamese | + | iw | hebrew | + | uk | ukrainian | + | el | greek | + | ms | malay | + | cs | czech | + | ro | romanian | + | da | danish | + | hu | hungarian | + | ta | tamil | + | no | norwegian | + | th | thai | + | ur | urdu | + | hr | croatian | + | bg | bulgarian | + | lt | lithuanian | + | la | latin | + | mi | maori | + | ml | malayalam | + | cy | welsh | + | sk | slovak | + | te | telugu | + | fa | persian | + | lv | latvian | + | bn | bengali | + | sr | serbian | + | az | azerbaijani | + | sl | slovenian | + | kn | kannada | + | et | estonian | + | mk | macedonian | + | br | breton | + | eu | basque | + | is | icelandic | + | hy | armenian | + | ne | nepali | + | mn | mongolian | + | bs | bosnian | + | kk | kazakh | + | sq | albanian | + | sw | swahili | + | gl | galician | + | mr | marathi | + | pa | punjabi | + | si | sinhala | + | km | khmer | + | sn | shona | + | yo | yoruba | + | so | somali | + | af | afrikaans | + | oc | occitan | + | ka | georgian | + | be | belarusian | + | tg | tajik | + | sd | sindhi | + | gu | gujarati | + | am | amharic | + | yi | yiddish | + | lo | lao | + | uz | uzbek | + | fo | faroese | + | ht | haitian creole | + | ps | pashto | + | tk | turkmen | + | nn | nynorsk | + | mt | maltese | + | sa | sanskrit | + | lb | luxembourgish | + | my | myanmar | + | bo | tibetan | + | tl | tagalog | + | mg | malagasy | + | as | assamese | + | tt | tatar | + | haw | hawaiian | + | ln | lingala | + | ha | hausa | + | ba | bashkir | + | jw | javanese | + | su | sundanese | version: 0.1.0 x-subscribelink: speech_enhancement From 73d3dc4a926342cf23a0c25e302f1e7c50b02b32 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 19 Oct 2022 16:53:40 +0530 Subject: [PATCH 5432/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 9f1b1b702..81787828d 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -6,7 +6,6 @@ info: It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language The length of your audio **should not exceed 60 seconds**. x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

* **Supported Languages:** | **Code** | **Name** | From 8076ff182dccac666c270e106ef287b318e6714c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 19 Oct 2022 16:54:03 +0530 Subject: [PATCH 5433/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 81787828d..d60cf9688 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -6,7 +6,7 @@ info: It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language The length of your audio **should not exceed 60 seconds**. x-additionalinfo: |+ - * **Supported Languages:** + **Supported Languages:** | **Code** | **Name** | |:-------------------------------------------:|:--------------------:| From 24525d7c5dae1a2c9886bb57e368a54b54a4d12a Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 10:55:41 +0530 Subject: [PATCH 5434/5916] Rename activate_user.yaml to org_activateusers.yaml --- platform_functions/{activate_user.yaml => org_activateusers.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{activate_user.yaml => org_activateusers.yaml} (100%) diff --git a/platform_functions/activate_user.yaml b/platform_functions/org_activateusers.yaml similarity index 100% rename from platform_functions/activate_user.yaml rename to platform_functions/org_activateusers.yaml From 75d4a2e6b4b70ae428e7ca15892589952212123a Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:01:06 +0530 Subject: [PATCH 5435/5916] Rename add_function_to_group.yaml to org_addfunctiontogroup.yaml --- .../{add_function_to_group.yaml => org_addfunctiontogroup.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{add_function_to_group.yaml => org_addfunctiontogroup.yaml} (100%) diff --git a/platform_functions/add_function_to_group.yaml b/platform_functions/org_addfunctiontogroup.yaml similarity index 100% rename from platform_functions/add_function_to_group.yaml rename to platform_functions/org_addfunctiontogroup.yaml From 1ff31672987a94081fdfe6a50099c2191ca9c984 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:40:30 +0530 Subject: [PATCH 5436/5916] Rename add_group.yaml to org_updateorggroup.yaml --- platform_functions/{add_group.yaml => org_updateorggroup.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{add_group.yaml => org_updateorggroup.yaml} (100%) diff --git a/platform_functions/add_group.yaml b/platform_functions/org_updateorggroup.yaml similarity index 100% rename from platform_functions/add_group.yaml rename to platform_functions/org_updateorggroup.yaml From dc47a9fa2f1923cebf45ba433560b1db4c6931ad Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:41:15 +0530 Subject: [PATCH 5437/5916] Rename add_user.yaml to org_adduser.yaml --- platform_functions/{add_user.yaml => org_adduser.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{add_user.yaml => org_adduser.yaml} (100%) diff --git a/platform_functions/add_user.yaml b/platform_functions/org_adduser.yaml similarity index 100% rename from platform_functions/add_user.yaml rename to platform_functions/org_adduser.yaml From e37b3b38eaa7aeb693c16b8f88b1263f817102c6 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:41:59 +0530 Subject: [PATCH 5438/5916] Rename add_user_to_function.yaml to org_addusertofunction.yaml --- .../{add_user_to_function.yaml => org_addusertofunction.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{add_user_to_function.yaml => org_addusertofunction.yaml} (100%) diff --git a/platform_functions/add_user_to_function.yaml b/platform_functions/org_addusertofunction.yaml similarity index 100% rename from platform_functions/add_user_to_function.yaml rename to platform_functions/org_addusertofunction.yaml From c8d22ded3dd8433bbb9df2f57a9c8cc75d7d2c4d Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:43:02 +0530 Subject: [PATCH 5439/5916] Rename add_user_to_group.yaml to org_addusertogroup.yaml --- .../{add_user_to_group.yaml => org_addusertogroup.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{add_user_to_group.yaml => org_addusertogroup.yaml} (100%) diff --git a/platform_functions/add_user_to_group.yaml b/platform_functions/org_addusertogroup.yaml similarity index 100% rename from platform_functions/add_user_to_group.yaml rename to platform_functions/org_addusertogroup.yaml From 13e8ba659569223f38162ef22aeea9c88c263c12 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:45:13 +0530 Subject: [PATCH 5440/5916] Rename api_metering.yaml to billing_apimeteringnew.yaml --- .../{api_metering.yaml => billing_apimeteringnew.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{api_metering.yaml => billing_apimeteringnew.yaml} (100%) diff --git a/platform_functions/api_metering.yaml b/platform_functions/billing_apimeteringnew.yaml similarity index 100% rename from platform_functions/api_metering.yaml rename to platform_functions/billing_apimeteringnew.yaml From 6fb0ba7b09d3eae03c618ec78053ba508022fa25 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:45:47 +0530 Subject: [PATCH 5441/5916] Rename api_metering_error_details.yaml to org_apimeteringerrordetails.yaml --- ...tering_error_details.yaml => org_apimeteringerrordetails.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{api_metering_error_details.yaml => org_apimeteringerrordetails.yaml} (100%) diff --git a/platform_functions/api_metering_error_details.yaml b/platform_functions/org_apimeteringerrordetails.yaml similarity index 100% rename from platform_functions/api_metering_error_details.yaml rename to platform_functions/org_apimeteringerrordetails.yaml From 5f468d76254bae6ddd09054b0b2552e44acbed58 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:46:33 +0530 Subject: [PATCH 5442/5916] Rename delete_group.yaml to org_deletegroup.yaml --- platform_functions/{delete_group.yaml => org_deletegroup.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{delete_group.yaml => org_deletegroup.yaml} (100%) diff --git a/platform_functions/delete_group.yaml b/platform_functions/org_deletegroup.yaml similarity index 100% rename from platform_functions/delete_group.yaml rename to platform_functions/org_deletegroup.yaml From b09bba5c5bfe2f911d2d10a367b6690a226fd14b Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:47:21 +0530 Subject: [PATCH 5443/5916] Rename delete_user_info.yaml to org_deleteuser.yaml --- platform_functions/{delete_user_info.yaml => org_deleteuser.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{delete_user_info.yaml => org_deleteuser.yaml} (100%) diff --git a/platform_functions/delete_user_info.yaml b/platform_functions/org_deleteuser.yaml similarity index 100% rename from platform_functions/delete_user_info.yaml rename to platform_functions/org_deleteuser.yaml From 7b507b845ed35d662578772b759a7ace0af6267f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:48:46 +0530 Subject: [PATCH 5444/5916] Rename deleted_org_list.yaml to org_getdeletedorglist.yaml --- .../{deleted_org_list.yaml => org_getdeletedorglist.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{deleted_org_list.yaml => org_getdeletedorglist.yaml} (100%) diff --git a/platform_functions/deleted_org_list.yaml b/platform_functions/org_getdeletedorglist.yaml similarity index 100% rename from platform_functions/deleted_org_list.yaml rename to platform_functions/org_getdeletedorglist.yaml From 6bad5a9d5774d19b4ae57a1adf350b8290cdae9b Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:49:32 +0530 Subject: [PATCH 5445/5916] Rename get_deleted_user_list.yaml to org_getdeleteduserlist.yaml --- .../{get_deleted_user_list.yaml => org_getdeleteduserlist.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{get_deleted_user_list.yaml => org_getdeleteduserlist.yaml} (100%) diff --git a/platform_functions/get_deleted_user_list.yaml b/platform_functions/org_getdeleteduserlist.yaml similarity index 100% rename from platform_functions/get_deleted_user_list.yaml rename to platform_functions/org_getdeleteduserlist.yaml From e2a2f31cbfba7fa31d6e7f78d990e01e58fe56d0 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:50:00 +0530 Subject: [PATCH 5446/5916] Rename get_function_list.yaml to org_getfunctionlist.yaml --- .../{get_function_list.yaml => org_getfunctionlist.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{get_function_list.yaml => org_getfunctionlist.yaml} (100%) diff --git a/platform_functions/get_function_list.yaml b/platform_functions/org_getfunctionlist.yaml similarity index 100% rename from platform_functions/get_function_list.yaml rename to platform_functions/org_getfunctionlist.yaml From 005b1fa54753ace630ac8c1e334ccb8f61401340 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:50:39 +0530 Subject: [PATCH 5447/5916] Rename get_org_assign_functions.yaml to org_getorgassignfunctions.yaml --- ...t_org_assign_functions.yaml => org_getorgassignfunctions.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{get_org_assign_functions.yaml => org_getorgassignfunctions.yaml} (100%) diff --git a/platform_functions/get_org_assign_functions.yaml b/platform_functions/org_getorgassignfunctions.yaml similarity index 100% rename from platform_functions/get_org_assign_functions.yaml rename to platform_functions/org_getorgassignfunctions.yaml From 080210c4e40d2ea8277b0b10d610b2f8cf9a72d0 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:51:42 +0530 Subject: [PATCH 5448/5916] Rename group_info.yaml to org_getgroupinfo.yaml --- platform_functions/{group_info.yaml => org_getgroupinfo.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{group_info.yaml => org_getgroupinfo.yaml} (100%) diff --git a/platform_functions/group_info.yaml b/platform_functions/org_getgroupinfo.yaml similarity index 100% rename from platform_functions/group_info.yaml rename to platform_functions/org_getgroupinfo.yaml From f2f08434ce7ebb41295df930656a9b7c3f0db046 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:52:25 +0530 Subject: [PATCH 5449/5916] Rename microservices_list.yaml to org_getmicroservicelist.yaml --- .../{microservices_list.yaml => org_getmicroservicelist.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{microservices_list.yaml => org_getmicroservicelist.yaml} (100%) diff --git a/platform_functions/microservices_list.yaml b/platform_functions/org_getmicroservicelist.yaml similarity index 100% rename from platform_functions/microservices_list.yaml rename to platform_functions/org_getmicroservicelist.yaml From 0487eced38df1a85b9aef60ff573b49375ad31ac Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:53:45 +0530 Subject: [PATCH 5450/5916] Rename org_group_list.yaml to org_getorggrouplist.yaml --- .../{org_group_list.yaml => org_getorggrouplist.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{org_group_list.yaml => org_getorggrouplist.yaml} (100%) diff --git a/platform_functions/org_group_list.yaml b/platform_functions/org_getorggrouplist.yaml similarity index 100% rename from platform_functions/org_group_list.yaml rename to platform_functions/org_getorggrouplist.yaml From beb68ebb96f361b35102287a7e71701a5cd3626f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:54:30 +0530 Subject: [PATCH 5451/5916] Rename org_info.yaml to org_getorginfo.yaml --- platform_functions/{org_info.yaml => org_getorginfo.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{org_info.yaml => org_getorginfo.yaml} (100%) diff --git a/platform_functions/org_info.yaml b/platform_functions/org_getorginfo.yaml similarity index 100% rename from platform_functions/org_info.yaml rename to platform_functions/org_getorginfo.yaml From 4f7d33867e35dfec410b411e397b19ef066f89b8 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:55:11 +0530 Subject: [PATCH 5452/5916] Rename refresh_api_key.yaml to org_refreshapikey.yaml --- .../{refresh_api_key.yaml => org_refreshapikey.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{refresh_api_key.yaml => org_refreshapikey.yaml} (100%) diff --git a/platform_functions/refresh_api_key.yaml b/platform_functions/org_refreshapikey.yaml similarity index 100% rename from platform_functions/refresh_api_key.yaml rename to platform_functions/org_refreshapikey.yaml From 1b69f0aad01ca943736555b02e3e43be573b349a Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:56:30 +0530 Subject: [PATCH 5453/5916] Rename remove_function_from_group.yaml to org_removefunctionfromgroup.yaml --- ..._function_from_group.yaml => org_removefunctionfromgroup.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{remove_function_from_group.yaml => org_removefunctionfromgroup.yaml} (100%) diff --git a/platform_functions/remove_function_from_group.yaml b/platform_functions/org_removefunctionfromgroup.yaml similarity index 100% rename from platform_functions/remove_function_from_group.yaml rename to platform_functions/org_removefunctionfromgroup.yaml From c77302594e0d3dd0f9fcf49c93bf42f6d5f525e1 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:57:49 +0530 Subject: [PATCH 5454/5916] Rename remove_group_from_user.yaml to org_removeuserfromgroup.yaml --- .../{remove_group_from_user.yaml => org_removeuserfromgroup.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{remove_group_from_user.yaml => org_removeuserfromgroup.yaml} (100%) diff --git a/platform_functions/remove_group_from_user.yaml b/platform_functions/org_removeuserfromgroup.yaml similarity index 100% rename from platform_functions/remove_group_from_user.yaml rename to platform_functions/org_removeuserfromgroup.yaml From adf9144d8b73ec318944c9257beaf6323f4b0ebf Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:58:56 +0530 Subject: [PATCH 5455/5916] Rename remove_user_from_function.yaml to org_removeuserfromfunction.yaml --- ...ve_user_from_function.yaml => org_removeuserfromfunction.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{remove_user_from_function.yaml => org_removeuserfromfunction.yaml} (100%) diff --git a/platform_functions/remove_user_from_function.yaml b/platform_functions/org_removeuserfromfunction.yaml similarity index 100% rename from platform_functions/remove_user_from_function.yaml rename to platform_functions/org_removeuserfromfunction.yaml From 6e8e45332df221fedf69eb080de218fbd201a4bf Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 11:59:37 +0530 Subject: [PATCH 5456/5916] Rename subscribed_microservices.yaml to org_subscribedmicroservices.yaml --- ...cribed_microservices.yaml => org_subscribedmicroservices.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{subscribed_microservices.yaml => org_subscribedmicroservices.yaml} (100%) diff --git a/platform_functions/subscribed_microservices.yaml b/platform_functions/org_subscribedmicroservices.yaml similarity index 100% rename from platform_functions/subscribed_microservices.yaml rename to platform_functions/org_subscribedmicroservices.yaml From 381f9906845596bdd51e4d06eac247068a0fe9f4 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 12:00:10 +0530 Subject: [PATCH 5457/5916] Rename subscription.yaml to org_subscription.yaml --- platform_functions/{subscription.yaml => org_subscription.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{subscription.yaml => org_subscription.yaml} (100%) diff --git a/platform_functions/subscription.yaml b/platform_functions/org_subscription.yaml similarity index 100% rename from platform_functions/subscription.yaml rename to platform_functions/org_subscription.yaml From 09457a978ea8b71bca622cbf90bf96dbe3d181e1 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 12:00:31 +0530 Subject: [PATCH 5458/5916] Rename unsubscription.yaml to org_unsubscription.yaml --- .../{unsubscription.yaml => org_unsubscription.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{unsubscription.yaml => org_unsubscription.yaml} (100%) diff --git a/platform_functions/unsubscription.yaml b/platform_functions/org_unsubscription.yaml similarity index 100% rename from platform_functions/unsubscription.yaml rename to platform_functions/org_unsubscription.yaml From 5e3cd2e370a8d11ad90bb455bca3da7d672a6a6e Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 12:01:33 +0530 Subject: [PATCH 5459/5916] Rename update_org.yaml to org_editorg.yaml --- platform_functions/{update_org.yaml => org_editorg.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{update_org.yaml => org_editorg.yaml} (100%) diff --git a/platform_functions/update_org.yaml b/platform_functions/org_editorg.yaml similarity index 100% rename from platform_functions/update_org.yaml rename to platform_functions/org_editorg.yaml From 25a82924bf9d6ad8d2f59e3319e5e6c4b7c9bf92 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 12:02:08 +0530 Subject: [PATCH 5460/5916] Rename update_password.yaml to change_password.yaml --- platform_functions/{update_password.yaml => change_password.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{update_password.yaml => change_password.yaml} (100%) diff --git a/platform_functions/update_password.yaml b/platform_functions/change_password.yaml similarity index 100% rename from platform_functions/update_password.yaml rename to platform_functions/change_password.yaml From e29a344f2eb50008fe4f8ea13befdd4f5ed30e12 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 12:03:19 +0530 Subject: [PATCH 5461/5916] Rename update_user_info.yaml to org_edituser.yaml --- platform_functions/{update_user_info.yaml => org_edituser.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{update_user_info.yaml => org_edituser.yaml} (100%) diff --git a/platform_functions/update_user_info.yaml b/platform_functions/org_edituser.yaml similarity index 100% rename from platform_functions/update_user_info.yaml rename to platform_functions/org_edituser.yaml From 0481af4711440706aee736a2a73feafec6347502 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 12:04:35 +0530 Subject: [PATCH 5462/5916] Rename user_info.yaml to org_getuserinfo.yaml --- platform_functions/{user_info.yaml => org_getuserinfo.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{user_info.yaml => org_getuserinfo.yaml} (100%) diff --git a/platform_functions/user_info.yaml b/platform_functions/org_getuserinfo.yaml similarity index 100% rename from platform_functions/user_info.yaml rename to platform_functions/org_getuserinfo.yaml From e395487b8281b4e3a9f9c7f2d87433cb1d8a6867 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 12:05:12 +0530 Subject: [PATCH 5463/5916] Rename user_list.yaml to org_getuserlist.yaml --- platform_functions/{user_list.yaml => org_getuserlist.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{user_list.yaml => org_getuserlist.yaml} (100%) diff --git a/platform_functions/user_list.yaml b/platform_functions/org_getuserlist.yaml similarity index 100% rename from platform_functions/user_list.yaml rename to platform_functions/org_getuserlist.yaml From e2e34d33a16527e19c92165788a1afe5a8914084 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Thu, 20 Oct 2022 12:07:13 +0530 Subject: [PATCH 5464/5916] Rename org_apimeteringerrordetails.yaml to apimeteringerrordetails.yaml --- ..._apimeteringerrordetails.yaml => apimeteringerrordetails.yaml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename platform_functions/{org_apimeteringerrordetails.yaml => apimeteringerrordetails.yaml} (100%) diff --git a/platform_functions/org_apimeteringerrordetails.yaml b/platform_functions/apimeteringerrordetails.yaml similarity index 100% rename from platform_functions/org_apimeteringerrordetails.yaml rename to platform_functions/apimeteringerrordetails.yaml From 9fc3292fbaa221705f00ea83b1f6251822c59ec5 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 28 Oct 2022 11:43:35 +0530 Subject: [PATCH 5465/5916] add defect detection microservice --- computer_vision/defect_detection.yaml | 249 ++++++++++++++++++++++++++ index.yaml | 4 + 2 files changed, 253 insertions(+) create mode 100644 computer_vision/defect_detection.yaml diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml new file mode 100644 index 000000000..723bd2b76 --- /dev/null +++ b/computer_vision/defect_detection.yaml @@ -0,0 +1,249 @@ +openapi: 3.0.1 +info: + title: Building Defect detection model + description: |+ + This computer vision microservice detects defects in buildings. + It identifies the defect category along with the confidence score.
+ The size of your image file **should not exceed 5 MB** + version: v0.1.0 + x-subscribelink: defect_detection + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - October 27, 2022" +paths: + /microservices/cv/defect/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + category: crack + confidence: 99.5 + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + category: + description: The type of building defect + example: crack + type: string + confidence: + description: confidence score of prediction + example: 99.51249327659 + type: float + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - October 27, 2022 + description: Initial version. + input: + type: object + required: + + - image_base64 + + properties: + image_base64: + x-name: image_base64 + type: string + default: True + example: 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 + description: |+ + Input the image to be passed in base64 format + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/index.yaml b/index.yaml index afb5d7e5f..06ef10eb8 100644 --- a/index.yaml +++ b/index.yaml @@ -198,6 +198,10 @@ computer vision: title: Image Text Similarity versions: 0.1.0: 'image_text_similarity.yaml' + defect_detection: + title: "Building Defect detection model" + versions: + 0.1.0: 'defect_detection.yaml' paddleocr: title: Image Text Detection and Recognition in Wild versions: From e149e3e39cce05acdf85c554c963b796010ccf3d Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 28 Oct 2022 12:14:45 +0530 Subject: [PATCH 5466/5916] revert --- computer_vision/defect_detection.yaml | 249 -------------------------- index.yaml | 4 - 2 files changed, 253 deletions(-) delete mode 100644 computer_vision/defect_detection.yaml diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml deleted file mode 100644 index 723bd2b76..000000000 --- a/computer_vision/defect_detection.yaml +++ /dev/null @@ -1,249 +0,0 @@ -openapi: 3.0.1 -info: - title: Building Defect detection model - description: |+ - This computer vision microservice detects defects in buildings. - It identifies the defect category along with the confidence score.
- The size of your image file **should not exceed 5 MB** - version: v0.1.0 - x-subscribelink: defect_detection - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5 MB/Call - x-inputfilelimit: |+ - Process up to 5 MB of data per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - File size cannot exceed 5 MB. - -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - October 27, 2022" -paths: - /microservices/cv/defect/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - category: crack - confidence: 99.5 - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - category: - description: The type of building defect - example: crack - type: string - confidence: - description: confidence score of prediction - example: 99.51249327659 - type: float - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - October 27, 2022 - description: Initial version. - input: - type: object - required: - - - image_base64 - - properties: - image_base64: - x-name: image_base64 - type: string - default: True - example: 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 - description: |+ - Input the image to be passed in base64 format - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header diff --git a/index.yaml b/index.yaml index 06ef10eb8..afb5d7e5f 100644 --- a/index.yaml +++ b/index.yaml @@ -198,10 +198,6 @@ computer vision: title: Image Text Similarity versions: 0.1.0: 'image_text_similarity.yaml' - defect_detection: - title: "Building Defect detection model" - versions: - 0.1.0: 'defect_detection.yaml' paddleocr: title: Image Text Detection and Recognition in Wild versions: From 83d0b2b127a396073b23aac5229a42e5d04653a1 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 28 Oct 2022 13:23:52 +0530 Subject: [PATCH 5467/5916] Update index.yaml --- index.yaml | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/index.yaml b/index.yaml index afb5d7e5f..9384418f6 100644 --- a/index.yaml +++ b/index.yaml @@ -210,10 +210,6 @@ computer vision: title: Face Recognition versions: 1.0.1: 'face_recognition.yaml' - few_shots_object_detection: - title: Few Shots Object Detection - versions: - v0.1.1: few_shots_object_detection.yaml masked_face_recognition: title: Masked Face Recognition versions: @@ -222,11 +218,11 @@ computer vision: title: People Counting versions: 1.0.1: 'people_counting.yaml' - 0.1.0: 'people_counting_v0.1.yaml' + 0.1.0: 'people_counting_v0.1.yaml' people_counting_large_file: title: People Counting (Large File) versions: - 0.1.0: 'people_counting_large_file.yaml' + 0.1.0: 'people_counting_large_file.yaml' person_reidentification: title: Person Reidentification versions: @@ -345,7 +341,7 @@ utility: base64_file_decode: title: Base64 Decoder versions: - 1.0.0: 'base64_file_decode.yaml' + 1.0.0: 'base64_file_decode.yaml' get_ip: title: Get IP versions: @@ -353,7 +349,7 @@ utility: date_resolution: title: Date Resolution versions: - 0.3.0: 'date_resolution.yaml' + 0.3.0: 'date_resolution.yaml' data: commercial_directories_hdb_sg: title: HDB Commercial Directories (SG) From b8a952a79079cab6591eb2a23773342007d66377 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 28 Oct 2022 13:31:02 +0530 Subject: [PATCH 5468/5916] add defect_detection models --- computer_vision/defect_detection.yaml | 250 ++++++++++++++++++++++++++ index.yaml | 8 + 2 files changed, 258 insertions(+) create mode 100644 computer_vision/defect_detection.yaml diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml new file mode 100644 index 000000000..76af802ee --- /dev/null +++ b/computer_vision/defect_detection.yaml @@ -0,0 +1,250 @@ + +openapi: 3.0.1 +info: + title: Building Defect detection model + description: |+ + This computer vision microservice detects defects in buildings. + It identifies the defect category along with the confidence score.
+ The size of your image file **should not exceed 5 MB** + version: v0.1.0 + x-subscribelink: defect + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5 MB/Call + x-inputfilelimit: |+ + Process up to 5 MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 5 MB. + +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - October 27, 2022" +paths: + /microservices/cv/defect/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + category: crack + confidence: 99.5 + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + category: + description: The type of building defect + example: crack + type: string + confidence: + description: confidence score of prediction + example: 99.51249327659 + type: float + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - October 27, 2022 + description: Initial version. + input: + type: object + required: + + - image_base64 + + properties: + image_base64: + x-name: image_base64 + type: string + default: True + example: 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 + description: |+ + Input the image to be passed in base64 format + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header diff --git a/index.yaml b/index.yaml index 9384418f6..e76aeae12 100644 --- a/index.yaml +++ b/index.yaml @@ -194,6 +194,10 @@ nlp: versions: 0.1.0: 'machine_translation.yaml' computer vision: + defect_detection: + title: Building Defect Detection + versions: + 0.1.0: 'defect_detection.yaml' image_text_similarity: title: Image Text Similarity versions: @@ -210,6 +214,10 @@ computer vision: title: Face Recognition versions: 1.0.1: 'face_recognition.yaml' + few_shots_object_detection: + title: Few Shots Object Detection + versions: + v0.1.1: few_shots_object_detection.yaml masked_face_recognition: title: Masked Face Recognition versions: From 8dafce6ae267bb9671d230b3a60da9e31d587d27 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 28 Oct 2022 15:07:22 +0530 Subject: [PATCH 5469/5916] Update defect_detection.yaml --- computer_vision/defect_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml index 76af802ee..da708fd56 100644 --- a/computer_vision/defect_detection.yaml +++ b/computer_vision/defect_detection.yaml @@ -7,7 +7,7 @@ info: It identifies the defect category along with the confidence score.
The size of your image file **should not exceed 5 MB** version: v0.1.0 - x-subscribelink: defect + x-subscribelink: defect_detection x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 5 MB/Call From 33c5905a1ba2e8f8b4137bd6f23169b7dc87ebee Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 31 Oct 2022 11:26:16 +0800 Subject: [PATCH 5470/5916] Remove punctuations parameter added to invnorm yaml --- nlp/inverse_text_normalisation_eng.yaml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index 95e5d479d..fb9f06691 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -312,6 +312,13 @@ components: example: ["FY", "FYI"] description: |+ Optional. Default = []. Convert strings in list to ALL CAPs. E.g. ['FY', 'FYI'] + remove_punctuation: + x-name: remove_punctuation + type: string + default: False + example: ",]" + description: |+ + Optional. Default = ''. To remove specific punctuations. securitySchemes: APIAuthorizer: type: apiKey From d38641431df9942119f89c0316a8c5611284137e Mon Sep 17 00:00:00 2001 From: Ramesh Date: Mon, 31 Oct 2022 16:44:47 +0530 Subject: [PATCH 5471/5916] commit message from python script --- import.txt | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 import.txt diff --git a/import.txt b/import.txt new file mode 100644 index 000000000..dc4239518 --- /dev/null +++ b/import.txt @@ -0,0 +1,3 @@ +Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. + +It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum. \ No newline at end of file From b6be4d6fd77d615b75254692f9d3fd6d5c66634a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 31 Oct 2022 16:45:33 +0530 Subject: [PATCH 5472/5916] Delete import.txt --- import.txt | 3 --- 1 file changed, 3 deletions(-) delete mode 100644 import.txt diff --git a/import.txt b/import.txt deleted file mode 100644 index dc4239518..000000000 --- a/import.txt +++ /dev/null @@ -1,3 +0,0 @@ -Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. - -It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum. \ No newline at end of file From d1dbaa82a9976d711779553ef4e799fa9ec82880 Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 10:34:18 +0530 Subject: [PATCH 5473/5916] commit message from python script for onboarding_models --- test_yaml.yaml | 251 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 test_yaml.yaml diff --git a/test_yaml.yaml b/test_yaml.yaml new file mode 100644 index 000000000..801a6c391 --- /dev/null +++ b/test_yaml.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: Test + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From bdbc3983594cf5a32191ec1d9d6aa02b55ad1422 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 10:34:38 +0530 Subject: [PATCH 5474/5916] Delete test_yaml.yaml --- test_yaml.yaml | 251 ------------------------------------------------- 1 file changed, 251 deletions(-) delete mode 100644 test_yaml.yaml diff --git a/test_yaml.yaml b/test_yaml.yaml deleted file mode 100644 index 801a6c391..000000000 --- a/test_yaml.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: Test - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 3396033230bb76890d89b97d5d89ba9f2f91350b Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 10:39:19 +0530 Subject: [PATCH 5475/5916] commit message from python script for onboarding_models --- voice/test_yaml.yaml | 251 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/test_yaml.yaml diff --git a/voice/test_yaml.yaml b/voice/test_yaml.yaml new file mode 100644 index 000000000..801a6c391 --- /dev/null +++ b/voice/test_yaml.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: Test + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From d5f3ec0691f07178b29f3344bbc06c00a5f45da0 Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 10:42:00 +0530 Subject: [PATCH 5476/5916] commit message from python script for onboarding_models --- voice/temptxtfile.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..29a0dda8d --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1 @@ 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 \ No newline at end of file From cba251aa9316c54a58c01d095f1a2933d1e331d2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 10:57:47 +0530 Subject: [PATCH 5477/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index 29a0dda8d..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1 +0,0 @@ -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 \ No newline at end of file From f38eebd3f9166771db4aa65373596e69cddb83cc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 10:57:56 +0530 Subject: [PATCH 5478/5916] Delete test_yaml.yaml --- voice/test_yaml.yaml | 251 ------------------------------------------- 1 file changed, 251 deletions(-) delete mode 100644 voice/test_yaml.yaml diff --git a/voice/test_yaml.yaml b/voice/test_yaml.yaml deleted file mode 100644 index 801a6c391..000000000 --- a/voice/test_yaml.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: Test - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 7f8b968554d9437286aa686e0d399dac356f3318 Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Tue, 1 Nov 2022 13:04:56 +0530 Subject: [PATCH 5479/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index fa0826013..505e7694e 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -66,7 +66,8 @@ tags: paths: /microservices/analytics/ciprofile/v0/addsite: description: |+ - This API is used to create site and get tracking script + This API is used to create site and get tracking script. Can create and track upto 2 sites per user. + Make sure this tracking code should add in every page of your website. We recommend pasting it immediately before the closing tag. post: tags: - v0.1.0 @@ -2020,9 +2021,11 @@ components: time_zone: type: string default: false - example: Asia\/Singapore + example: Asia/Singapore description: |+ - Optional. Timezone for the websites + Optional. + List of the timezones: + - Africa/Algiers => Algeria, Africa/Luanda => Angola, Africa/Porto-Novo => Benin, Africa/Gaborone => Botswana, Africa/Ouagadougou => Burkina Faso, Africa/Bujumbura => Burundi, Africa/Douala => Cameroon, Atlantic/Cape_Verde => Cape Verde, Africa/Bangui => Central African Republic, Africa/Ndjamena => Chad, Indian/Comoro => Comoros, Africa/Brazzaville => Congo - Brazzaville, Africa/Kinshasa => Congo - Kinshasa - Kinshasa, Africa/Lubumbashi => Congo - Kinshasa - Lubumbashi, Africa/Abidjan => Côte d’Ivoire, Africa/Djibouti => Djibouti, Africa/Cairo => Egypt, Africa/Malabo => Equatorial Guinea, Africa/Asmara => Eritrea, Africa/Mbabane => Eswatini, Africa/Addis_Ababa => Ethiopia, Africa/Libreville => Gabon, Africa/Banjul => Gambia, Africa/Accra => Ghana, Africa/Conakry => Guinea, Africa/Bissau => Guinea-Bissau, Africa/Nairobi => Kenya, Africa/Maseru => Lesotho, Africa/Monrovia => Liberia, Africa/Tripoli => Libya, Indian/Antananarivo => Madagascar, Africa/Blantyre => Malawi, Africa/Bamako => Mali, Africa/Nouakchott => Mauritania, Indian/Mauritius => Mauritius, Indian/Mayotte => Mayotte, Africa/Casablanca => Morocco, Africa/Maputo => Mozambique, Africa/Windhoek => Namibia, Africa/Niamey => Niger, Africa/Lagos => Nigeria, Africa/Kigali => Rwanda, Indian/Reunion => Réunion, Africa/Dakar => Senegal, Indian/Mahe => Seychelles, Africa/Freetown => Sierra Leone, Africa/Mogadishu => Somalia, Africa/Johannesburg => South Africa, Africa/Juba => South Sudan, Atlantic/St_Helena => St. Helena, Africa/Khartoum => Sudan, Africa/Sao_Tome => São Tomé & Príncipe, Africa/Dar_es_Salaam => Tanzania, Africa/Lome => Togo, Africa/Tunis => Tunisia, Africa/Kampala => Uganda, Africa/El_Aaiun => Western Sahara, Africa/Lusaka => Zambia, Africa/Harare => Zimbabwe, ), Antarctica => array ( Antarctica/Casey => Antarctica - Casey, Antarctica/Davis => Antarctica - Davis, Antarctica/DumontDUrville => Antarctica - Dumont d’Urville, Antarctica/Mawson => Antarctica - Mawson, Antarctica/McMurdo => Antarctica - McMurdo, Antarctica/Palmer => Antarctica - Palmer, Antarctica/Rothera => Antarctica - Rothera, Antarctica/Syowa => Antarctica - Syowa, Antarctica/Troll => Antarctica - Troll, Antarctica/Vostok => Antarctica - Vostok, Indian/Kerguelen => French Southern Territories, Atlantic/South_Georgia => South Georgia & South Sandwich Islands, ), Asia => array ( Asia/Kabul => Afghanistan, Asia/Yerevan => Armenia, Asia/Baku => Azerbaijan, Asia/Bahrain => Bahrain, Asia/Dhaka => Bangladesh, Asia/Thimphu => Bhutan, Indian/Chagos => British Indian Ocean Territory, Asia/Brunei => Brunei, Asia/Phnom_Penh => Cambodia, Asia/Shanghai => China - Shanghai, Asia/Urumqi => China - Urumqi, Indian/Christmas => Christmas Island, Indian/Cocos => Cocos (Keeling) Islands, Asia/Tbilisi => Georgia, Asia/Hong_Kong => Hong Kong SAR China, Asia/Kolkata => India, Asia/Jakarta => Indonesia - Jakarta, Asia/Jayapura => Indonesia - Jayapura, Asia/Makassar => Indonesia - Makassar, Asia/Pontianak => Indonesia - Pontianak, Asia/Tehran => Iran, Asia/Baghdad => Iraq, Asia/Jerusalem => Israel, Asia/Tokyo => Japan, Asia/Amman => Jordan, Asia/Almaty => Kazakhstan - Almaty, Asia/Aqtau => Kazakhstan - Aqtau, Asia/Aqtobe => Kazakhstan - Aqtobe, Asia/Atyrau => Kazakhstan - Atyrau, Asia/Qostanay => Kazakhstan - Kostanay, Asia/Oral => Kazakhstan - Oral, Asia/Qyzylorda => Kazakhstan - Qyzylorda, Asia/Kuwait => Kuwait, Asia/Bishkek => Kyrgyzstan, Asia/Vientiane => Laos, Asia/Beirut => Lebanon, Asia/Macau => Macao SAR China, Asia/Kuala_Lumpur => Malaysia - Kuala Lumpur, Asia/Kuching => Malaysia - Kuching, Indian/Maldives => Maldives, Asia/Choibalsan => Mongolia - Choibalsan, Asia/Hovd => Mongolia - Hovd, Asia/Ulaanbaatar => Mongolia - Ulaanbaatar, Asia/Yangon => Myanmar (Burma), Asia/Kathmandu => Nepal, Asia/Pyongyang => North Korea, Asia/Muscat => Oman, Asia/Karachi => Pakistan, Asia/Gaza => Palestinian Territories - Gaza, Asia/Hebron => Palestinian Territories - Hebron, Asia/Manila => Philippines, Asia/Qatar => Qatar, Asia/Riyadh => Saudi Arabia, Asia/Singapore => Singapore, Asia/Seoul => South Korea, Asia/Colombo => Sri Lanka, Asia/Damascus => Syria, Asia/Taipei => Taiwan, Asia/Dushanbe => Tajikistan, Asia/Bangkok => Thailand, Asia/Dili => Timor-Leste, Asia/Ashgabat => Turkmenistan, Asia/Dubai => United Arab Emirates, Asia/Samarkand => Uzbekistan - Samarkand, Asia/Tashkent => Uzbekistan - Tashkent, Asia/Ho_Chi_Minh => Vietnam, Asia/Aden => Yemen, ), Central America => array ( America/Anguilla => Anguilla, America/Antigua => Antigua & Barbuda, America/Aruba => Aruba, America/Nassau => Bahamas, America/Barbados => Barbados, America/Belize => Belize, Atlantic/Bermuda => Bermuda, America/Tortola => British Virgin Islands, America/Kralendijk => Caribbean Netherlands, America/Cayman => Cayman Islands, America/Costa_Rica => Costa Rica, America/Havana => Cuba, America/Curacao => Curaçao, America/Dominica => Dominica, America/Santo_Domingo => Dominican Republic, America/El_Salvador => El Salvador, America/Grenada => Grenada, America/Guadeloupe => Guadeloupe, America/Guatemala => Guatemala, America/Port-au-Prince => Haiti, America/Tegucigalpa => Honduras, America/Jamaica => Jamaica, America/Martinique => Martinique, America/Montserrat => Montserrat, America/Managua => Nicaragua, America/Panama => Panama, America/Puerto_Rico => Puerto Rico, America/Lower_Princes => Sint Maarten, America/St_Barthelemy => St. Barthélemy, America/St_Kitts => St. Kitts & Nevis, America/St_Lucia => St. Lucia, America/Marigot => St. Martin, America/St_Vincent => St. Vincent & Grenadines, America/Port_of_Spain => Trinidad & Tobago, America/Grand_Turk => Turks & Caicos Islands, America/St_Thomas => U.S. Virgin Islands, ), Europe => array ( Europe/Tirane => Albania, Europe/Andorra => Andorra, Europe/Vienna => Austria, Europe/Minsk => Belarus, Europe/Brussels => Belgium, Europe/Sarajevo => Bosnia & Herzegovina, Europe/Sofia => Bulgaria, Europe/Zagreb => Croatia, Asia/Famagusta => Cyprus - Famagusta, Asia/Nicosia => Cyprus - Nicosia, Europe/Prague => Czechia, Europe/Copenhagen => Denmark, Europe/Tallinn => Estonia, Atlantic/Faroe => Faroe Islands, Europe/Helsinki => Finland, Europe/Paris => France, Europe/Berlin => Germany - Berlin, Europe/Busingen => Germany - Busingen, Europe/Gibraltar => Gibraltar, Europe/Athens => Greece, Europe/Guernsey => Guernsey, Europe/Budapest => Hungary, Atlantic/Reykjavik => Iceland, Europe/Dublin => Ireland, Europe/Isle_of_Man => Isle of Man, Europe/Rome => Italy, Europe/Jersey => Jersey, Europe/Riga => Latvia, Europe/Vaduz => Liechtenstein, Europe/Vilnius => Lithuania, Europe/Luxembourg => Luxembourg, Europe/Malta => Malta, Europe/Chisinau => Moldova, Europe/Monaco => Monaco, Europe/Podgorica => Montenegro, Europe/Amsterdam => Netherlands, Europe/Skopje => North Macedonia, Europe/Oslo => Norway, Europe/Warsaw => Poland, Atlantic/Azores => Portugal - Azores, Europe/Lisbon => Portugal - Lisbon, Atlantic/Madeira => Portugal - Madeira, Europe/Bucharest => Romania, Asia/Anadyr => Russia - Anadyr, Europe/Astrakhan => Russia - Astrakhan, Asia/Barnaul => Russia - Barnaul, Asia/Chita => Russia - Chita, Asia/Irkutsk => Russia - Irkutsk, Europe/Kaliningrad => Russia - Kaliningrad, Asia/Kamchatka => Russia - Kamchatka, Asia/Khandyga => Russia - Khandyga, Europe/Kirov => Russia - Kirov, Asia/Krasnoyarsk => Russia - Krasnoyarsk, Asia/Magadan => Russia - Magadan, Europe/Moscow => Russia - Moscow, Asia/Novokuznetsk => Russia - Novokuznetsk, Asia/Novosibirsk => Russia - Novosibirsk, Asia/Omsk => Russia - Omsk, Asia/Sakhalin => Russia - Sakhalin, Europe/Samara => Russia - Samara, Europe/Saratov => Russia - Saratov, Asia/Srednekolymsk => Russia - Srednekolymsk, Asia/Tomsk => Russia - Tomsk, Europe/Ulyanovsk => Russia - Ulyanovsk, Asia/Ust-Nera => Russia - Ust-Nera, Asia/Vladivostok => Russia - Vladivostok, Europe/Volgograd => Russia - Volgograd, Asia/Yakutsk => Russia - Yakutsk, Asia/Yekaterinburg => Russia - Yekaterinburg, Europe/San_Marino => San Marino, Europe/Belgrade => Serbia, Europe/Bratislava => Slovakia, Europe/Ljubljana => Slovenia, Atlantic/Canary => Spain - Canary, Africa/Ceuta => Spain - Ceuta, Europe/Madrid => Spain - Madrid, Arctic/Longyearbyen => Svalbard & Jan Mayen, Europe/Stockholm => Sweden, Europe/Zurich => Switzerland, Europe/Istanbul => Turkey, Europe/Kyiv => Ukraine - Kyiv, Europe/Simferopol => Ukraine - Simferopol, Europe/London => United Kingdom, Europe/Vatican => Vatican City, Europe/Mariehamn => Åland Islands, ), North America => array ( America/Atikokan => Canada - Atikokan, America/Blanc-Sablon => Canada - Blanc-Sablon, America/Cambridge_Bay => Canada - Cambridge Bay, America/Creston => Canada - Creston, America/Dawson => Canada - Dawson, America/Dawson_Creek => Canada - Dawson Creek, America/Edmonton => Canada - Edmonton, America/Fort_Nelson => Canada - Fort Nelson, America/Glace_Bay => Canada - Glace Bay, America/Goose_Bay => Canada - Goose Bay, America/Halifax => Canada - Halifax, America/Inuvik => Canada - Inuvik, America/Iqaluit => Canada - Iqaluit, America/Moncton => Canada - Moncton, America/Nipigon => Canada - Nipigon, America/Pangnirtung => Canada - Pangnirtung, America/Rainy_River => Canada - Rainy River, America/Rankin_Inlet => Canada - Rankin Inlet, America/Regina => Canada - Regina, America/Resolute => Canada - Resolute, America/St_Johns => Canada - St. John’s, America/Swift_Current => Canada - Swift Current, America/Thunder_Bay => Canada - Thunder Bay, America/Toronto => Canada - Toronto, America/Vancouver => Canada - Vancouver, America/Whitehorse => Canada - Whitehorse, America/Winnipeg => Canada - Winnipeg, America/Yellowknife => Canada - Yellowknife, America/Danmarkshavn => Greenland - Danmarkshavn, America/Scoresbysund => Greenland - Ittoqqortoormiit, America/Nuuk => Greenland - Nuuk, America/Thule => Greenland - Thule, America/Bahia_Banderas => Mexico - Bahia Banderas, America/Cancun => Mexico - Cancun, America/Chihuahua => Mexico - Chihuahua, America/Hermosillo => Mexico - Hermosillo, America/Matamoros => Mexico - Matamoros, America/Mazatlan => Mexico - Mazatlan, America/Merida => Mexico - Merida, America/Mexico_City => Mexico - Mexico City, America/Monterrey => Mexico - Monterrey, America/Ojinaga => Mexico - Ojinaga, America/Tijuana => Mexico - Tijuana, America/Miquelon => St. Pierre & Miquelon, America/Adak => United States - Adak, America/Anchorage => United States - Anchorage, America/North_Dakota/Beulah => United States - Beulah, North Dakota, America/Boise => United States - Boise, America/North_Dakota/Center => United States - Center, North Dakota, America/Chicago => United States - Chicago, America/Denver => United States - Denver, America/Detroit => United States - Detroit, Pacific/Honolulu => United States - Honolulu, America/Indiana/Indianapolis => United States - Indianapolis, America/Juneau => United States - Juneau, America/Indiana/Knox => United States - Knox, Indiana, America/Los_Angeles => United States - Los Angeles, America/Kentucky/Louisville => United States - Louisville, America/Indiana/Marengo => United States - Marengo, Indiana, America/Menominee => United States - Menominee, America/Metlakatla => United States - Metlakatla, America/Kentucky/Monticello => United States - Monticello, Kentucky, America/North_Dakota/New_Salem => United States - New Salem, North Dakota, America/New_York => United States - New York, America/Nome => United States - Nome, America/Indiana/Petersburg => United States - Petersburg, Indiana, America/Phoenix => United States - Phoenix, America/Sitka => United States - Sitka, America/Indiana/Tell_City => United States - Tell City, Indiana, America/Indiana/Vevay => United States - Vevay, Indiana, America/Indiana/Vincennes => United States - Vincennes, Indiana, America/Indiana/Winamac => United States - Winamac, Indiana, America/Yakutat => United States - Yakutat, ), Oceania => array ( Pacific/Pago_Pago => American Samoa, Australia/Adelaide => Australia - Adelaide, Australia/Brisbane => Australia - Brisbane, Australia/Broken_Hill => Australia - Broken Hill, Australia/Darwin => Australia - Darwin, Australia/Eucla => Australia - Eucla, Australia/Hobart => Australia - Hobart, Australia/Lindeman => Australia - Lindeman, Australia/Lord_Howe => Australia - Lord Howe, Antarctica/Macquarie => Australia - Macquarie, Australia/Melbourne => Australia - Melbourne, Australia/Perth => Australia - Perth, Australia/Sydney => Australia - Sydney, Pacific/Rarotonga => Cook Islands, Pacific/Fiji => Fiji, Pacific/Gambier => French Polynesia - Gambier, Pacific/Marquesas => French Polynesia - Marquesas, Pacific/Tahiti => French Polynesia - Tahiti, Pacific/Guam => Guam, Pacific/Kanton => Kiribati - Kanton, Pacific/Kiritimati => Kiribati - Kiritimati, Pacific/Tarawa => Kiribati - Tarawa, Pacific/Kwajalein => Marshall Islands - Kwajalein, Pacific/Majuro => Marshall Islands - Majuro, Pacific/Chuuk => Micronesia - Chuuk, Pacific/Kosrae => Micronesia - Kosrae, Pacific/Pohnpei => Micronesia - Pohnpei, Pacific/Nauru => Nauru, Pacific/Noumea => New Caledonia, Pacific/Auckland => New Zealand - Auckland, Pacific/Chatham => New Zealand - Chatham, Pacific/Niue => Niue, Pacific/Norfolk => Norfolk Island, Pacific/Saipan => Northern Mariana Islands, Pacific/Palau => Palau, Pacific/Bougainville => Papua New Guinea - Bougainville, Pacific/Port_Moresby => Papua New Guinea - Port Moresby, Pacific/Pitcairn => Pitcairn Islands, Pacific/Apia => Samoa, Pacific/Guadalcanal => Solomon Islands, Pacific/Fakaofo => Tokelau, Pacific/Tongatapu => Tonga, Pacific/Funafuti => Tuvalu, Pacific/Midway => U.S. Outlying Islands - Midway, Pacific/Wake => U.S. Outlying Islands - Wake, Pacific/Efate => Vanuatu, Pacific/Wallis => Wallis & Futuna, ), South America => array ( America/Argentina/Buenos_Aires => Argentina - Buenos Aires, America/Argentina/Catamarca => Argentina - Catamarca, America/Argentina/Cordoba => Argentina - Cordoba, America/Argentina/Jujuy => Argentina - Jujuy, America/Argentina/La_Rioja => Argentina - La Rioja, America/Argentina/Mendoza => Argentina - Mendoza, America/Argentina/Rio_Gallegos => Argentina - Rio Gallegos, America/Argentina/Salta => Argentina - Salta, America/Argentina/San_Juan => Argentina - San Juan, America/Argentina/San_Luis => Argentina - San Luis, America/Argentina/Tucuman => Argentina - Tucuman, America/Argentina/Ushuaia => Argentina - Ushuaia, America/La_Paz => Bolivia, America/Araguaina => Brazil - Araguaina, America/Bahia => Brazil - Bahia, America/Belem => Brazil - Belem, America/Boa_Vista => Brazil - Boa Vista, America/Campo_Grande => Brazil - Campo Grande, America/Cuiaba => Brazil - Cuiaba, America/Eirunepe => Brazil - Eirunepe, America/Fortaleza => Brazil - Fortaleza, America/Maceio => Brazil - Maceio, America/Manaus => Brazil - Manaus, America/Noronha => Brazil - Noronha, America/Porto_Velho => Brazil - Porto Velho, America/Recife => Brazil - Recife, America/Rio_Branco => Brazil - Rio Branco, America/Santarem => Brazil - Santarem, America/Sao_Paulo => Brazil - Sao Paulo, Pacific/Easter => Chile - Easter, America/Punta_Arenas => Chile - Punta Arenas, America/Santiago => Chile - Santiago, America/Bogota => Colombia, Pacific/Galapagos => Ecuador - Galapagos, America/Guayaquil => Ecuador - Guayaquil, Atlantic/Stanley => Falkland Islands, America/Cayenne => French Guiana, America/Guyana => Guyana, America/Asuncion => Paraguay, America/Lima => Peru, America/Paramaribo => Suriname, America/Montevideo => Uruguay, America/Caracas => Venezuela visitdetailsinput: type: object required: From 11099c7e9c626d6e11893df0613c34d2b14f90d7 Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 14:28:50 +0530 Subject: [PATCH 5480/5916] commit message from python script for onboarding_models --- voice/temptxtfile.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..29a0dda8d --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1 @@ 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\ No newline at end of file From 8759d1ef926fa36424523a52588e335fb5d6b9d9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 14:37:11 +0530 Subject: [PATCH 5481/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index 29a0dda8d..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1 +0,0 @@ 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\ No newline at end of file From 7d076be61f0b114062fa9325483ad3f0ea9179e2 Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 14:40:32 +0530 Subject: [PATCH 5482/5916] commit message from python script for onboarding_models --- voice/temptxtfile.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..29a0dda8d --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1 @@ 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\ No newline at end of file From 18c7c8efd8a117bd091549a5d117286f7a9a0bd6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 14:41:10 +0530 Subject: [PATCH 5483/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index 29a0dda8d..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1 +0,0 @@ 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\ No newline at end of file From 378637b836bdda26f2491dcb735b558756fea38f Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 14:53:17 +0530 Subject: [PATCH 5484/5916] commit message from python script for onboarding temptxtfile.txt --- voice/temptxtfile.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..29a0dda8d --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1 @@ 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\ No newline at end of file From a09f1dbee56f0db37446934ee3086b1abbfcc1a8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 14:54:01 +0530 Subject: [PATCH 5485/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index 29a0dda8d..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1 +0,0 @@ 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\ No newline at end of file From 87b67ec9e168b10305bd45c68aecf4e4ee866d61 Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 14:59:00 +0530 Subject: [PATCH 5486/5916] commit message from python script for onboarding temptxtfile.txt --- voice/temptxtfile.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..29a0dda8d --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1 @@ 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\ No newline at end of file From ddfda8bd63152a5ebbab0740cb91eea537b86717 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:15:32 +0530 Subject: [PATCH 5487/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index 29a0dda8d..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1 +0,0 @@ -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 \ No newline at end of file From 6f0eb991e5337380fa7b07c99f75c972fcf3284d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:22:04 +0530 Subject: [PATCH 5488/5916] Add files via upload --- whisper_asr.yaml | 378 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 378 insertions(+) create mode 100644 whisper_asr.yaml diff --git a/whisper_asr.yaml b/whisper_asr.yaml new file mode 100644 index 000000000..e49d49eb7 --- /dev/null +++ b/whisper_asr.yaml @@ -0,0 +1,378 @@ + +openapi: 3.0.1 +info: + title: Whisper ASR + description: |+ + It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language + The length of your audio **should not exceed 60 seconds**. + x-additionalinfo: |+ + **Supported Languages:** + + | **Code** | **Name** | + |:-------------------------------------------:|:--------------------:| + | en | english | + | zh | chinese | + | de | german | + | es | spanish | + | ru | russian | + | ko | korean | + | fr | french | + | ja | japanese | + | pt | portuguese | + | tr | turkish | + | pl | polish | + | ca | catalan | + | nl | dutch | + | ar | arabic | + | sv | swedish | + | it | italian | + | id | indonesian | + | hi | hindi | + | fi | finnish | + | vi | vietnamese | + | iw | hebrew | + | uk | ukrainian | + | el | greek | + | ms | malay | + | cs | czech | + | ro | romanian | + | da | danish | + | hu | hungarian | + | ta | tamil | + | no | norwegian | + | th | thai | + | ur | urdu | + | hr | croatian | + | bg | bulgarian | + | lt | lithuanian | + | la | latin | + | mi | maori | + | ml | malayalam | + | cy | welsh | + | sk | slovak | + | te | telugu | + | fa | persian | + | lv | latvian | + | bn | bengali | + | sr | serbian | + | az | azerbaijani | + | sl | slovenian | + | kn | kannada | + | et | estonian | + | mk | macedonian | + | br | breton | + | eu | basque | + | is | icelandic | + | hy | armenian | + | ne | nepali | + | mn | mongolian | + | bs | bosnian | + | kk | kazakh | + | sq | albanian | + | sw | swahili | + | gl | galician | + | mr | marathi | + | pa | punjabi | + | si | sinhala | + | km | khmer | + | sn | shona | + | yo | yoruba | + | so | somali | + | af | afrikaans | + | oc | occitan | + | ka | georgian | + | be | belarusian | + | tg | tajik | + | sd | sindhi | + | gu | gujarati | + | am | amharic | + | yi | yiddish | + | lo | lao | + | uz | uzbek | + | fo | faroese | + | ht | haitian creole | + | ps | pashto | + | tk | turkmen | + | nn | nynorsk | + | mt | maltese | + | sa | sanskrit | + | lb | luxembourgish | + | my | myanmar | + | bo | tibetan | + | tl | tagalog | + | mg | malagasy | + | as | assamese | + | tt | tatar | + | haw | hawaiian | + | ln | lingala | + | ha | hausa | + | ba | bashkir | + | jw | javanese | + | su | sundanese | + + version: 0.1.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Oct 20, 2022" +paths: + /microservices/voice/whisperasr/v0/gettranscript: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + transcript: + description: Transcriptied Text + example: What is the difference between fixed and floating green spaces? + type: string + translation: + description: Translated Text + example: What is the difference between a fixed and floating green? + type: string + input_audio_language: + description: Input audio language + example: What is the difference between a fixed and floating green? + type: string + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - wav_base64 + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + translate: + type: boolean + default: false + example: false + description: + Tranlate to other language. + model_type: + type: string + default: false + example: medium + description: + Specifies the model type of the transcript. There are five different values, they are,
+ - tiny
+ - base
+ - small
+ - medium
+ - large
+ Default Value - medium + language: + type: string + default: true + example: en + description: |+ + The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language, e.g. 'en' for English + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 1b75de6524e3e9a01da372e38ac41108414f0f01 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:22:33 +0530 Subject: [PATCH 5489/5916] Delete whisper_asr.yaml --- whisper_asr.yaml | 378 ----------------------------------------------- 1 file changed, 378 deletions(-) delete mode 100644 whisper_asr.yaml diff --git a/whisper_asr.yaml b/whisper_asr.yaml deleted file mode 100644 index e49d49eb7..000000000 --- a/whisper_asr.yaml +++ /dev/null @@ -1,378 +0,0 @@ - -openapi: 3.0.1 -info: - title: Whisper ASR - description: |+ - It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language - The length of your audio **should not exceed 60 seconds**. - x-additionalinfo: |+ - **Supported Languages:** - - | **Code** | **Name** | - |:-------------------------------------------:|:--------------------:| - | en | english | - | zh | chinese | - | de | german | - | es | spanish | - | ru | russian | - | ko | korean | - | fr | french | - | ja | japanese | - | pt | portuguese | - | tr | turkish | - | pl | polish | - | ca | catalan | - | nl | dutch | - | ar | arabic | - | sv | swedish | - | it | italian | - | id | indonesian | - | hi | hindi | - | fi | finnish | - | vi | vietnamese | - | iw | hebrew | - | uk | ukrainian | - | el | greek | - | ms | malay | - | cs | czech | - | ro | romanian | - | da | danish | - | hu | hungarian | - | ta | tamil | - | no | norwegian | - | th | thai | - | ur | urdu | - | hr | croatian | - | bg | bulgarian | - | lt | lithuanian | - | la | latin | - | mi | maori | - | ml | malayalam | - | cy | welsh | - | sk | slovak | - | te | telugu | - | fa | persian | - | lv | latvian | - | bn | bengali | - | sr | serbian | - | az | azerbaijani | - | sl | slovenian | - | kn | kannada | - | et | estonian | - | mk | macedonian | - | br | breton | - | eu | basque | - | is | icelandic | - | hy | armenian | - | ne | nepali | - | mn | mongolian | - | bs | bosnian | - | kk | kazakh | - | sq | albanian | - | sw | swahili | - | gl | galician | - | mr | marathi | - | pa | punjabi | - | si | sinhala | - | km | khmer | - | sn | shona | - | yo | yoruba | - | so | somali | - | af | afrikaans | - | oc | occitan | - | ka | georgian | - | be | belarusian | - | tg | tajik | - | sd | sindhi | - | gu | gujarati | - | am | amharic | - | yi | yiddish | - | lo | lao | - | uz | uzbek | - | fo | faroese | - | ht | haitian creole | - | ps | pashto | - | tk | turkmen | - | nn | nynorsk | - | mt | maltese | - | sa | sanskrit | - | lb | luxembourgish | - | my | myanmar | - | bo | tibetan | - | tl | tagalog | - | mg | malagasy | - | as | assamese | - | tt | tatar | - | haw | hawaiian | - | ln | lingala | - | ha | hausa | - | ba | bashkir | - | jw | javanese | - | su | sundanese | - - version: 0.1.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Oct 20, 2022" -paths: - /microservices/voice/whisperasr/v0/gettranscript: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - transcript: - description: Transcriptied Text - example: What is the difference between fixed and floating green spaces? - type: string - translation: - description: Translated Text - example: What is the difference between a fixed and floating green? - type: string - input_audio_language: - description: Input audio language - example: What is the difference between a fixed and floating green? - type: string - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - wav_base64 - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - translate: - type: boolean - default: false - example: false - description: - Tranlate to other language. - model_type: - type: string - default: false - example: medium - description: - Specifies the model type of the transcript. There are five different values, they are,
- - tiny
- - base
- - small
- - medium
- - large
- Default Value - medium - language: - type: string - default: true - example: en - description: |+ - The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language, e.g. 'en' for English - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From b8f932957e328c91c0ea8eb7b9c44fdc653ad4da Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 15:22:56 +0530 Subject: [PATCH 5490/5916] commit message from python script for onboarding temptxtfile.txt --- voice/temptxtfile.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..29a0dda8d --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1 @@ 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 \ No newline at end of file From b290e929731238a893f01f1e93fbe17c56208ebf Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:24:13 +0530 Subject: [PATCH 5491/5916] Add files via upload --- asr_en_unified.yaml | 268 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 268 insertions(+) create mode 100644 asr_en_unified.yaml diff --git a/asr_en_unified.yaml b/asr_en_unified.yaml new file mode 100644 index 000000000..b6ffcff2f --- /dev/null +++ b/asr_en_unified.yaml @@ -0,0 +1,268 @@ +openapi: 3.0.1 +info: + title: ASR EN Unified + description: |+ + This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.
+ This microservice can be effective for audio files with mixed English accents, as well as audio files that are noisy.
+ Do ensure that your audio file length is less than 15 seconds. + version: '1.0.0' + x-apitype: small file + x-subscribelink: asr_en_unified + x-apitypedescription: |+ + Fast | Single-Call | 15 sec/Call + x-inputfilelimit: |+ + Process up to 15 seconds of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 15 seconds. + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/asrenunified/v1/get_transcript: + post: + tags: + - v1.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + status: Success + message: Successfully Processed + results: + transcript: 'i want to apply for a credit farslidy to service my hish d v long ' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + transcript: + x-name: transcript + type: string + example: i want to apply for a credit faclity + description: Converted Text + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - wav_base64 + - model + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + model: + x-name: model + type: string + default: True + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + 1. generic - for non-accent specific speech (default) + 2. en-SG - for Singaporean-accented English speech + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 20, 2022 + x-details: Major release + description: Input Parameter Changed to wav_base64 String + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 04, 2022 + x-details: Minor release + description: Patch fixes to generic and new model addition - sg-unified + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 01, 2022 + x-details: Initial version release + description: Archived + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 4072d861be77b516c159cc6d0d227f8c1064f785 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:24:31 +0530 Subject: [PATCH 5492/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index 29a0dda8d..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1 +0,0 @@ -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 \ No newline at end of file From 71ed38d5cbea0480b03e55546f86541ccaab1857 Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 15:24:53 +0530 Subject: [PATCH 5493/5916] commit message from python script for onboarding temptxtfile.txt --- voice/temptxtfile.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..29a0dda8d --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1 @@ 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 \ No newline at end of file From 5c3da2c11f0a97049d6de2231338be374943d2fa Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 15:26:48 +0530 Subject: [PATCH 5494/5916] commit message from python script for onboarding temptxtfile.txt --- voice/temptxtfile.txt | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt index 29a0dda8d..5e01a9d79 100644 --- a/voice/temptxtfile.txt +++ b/voice/temptxtfile.txt @@ -1 +1,5 @@ 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\ No newline at end of file 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+ + + +testing \ No newline at end of file From c963bb198622591ff42193ff923699f5dbdb7f1a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:27:07 +0530 Subject: [PATCH 5495/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 5 ----- 1 file changed, 5 deletions(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index 5e01a9d79..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1,5 +0,0 @@ 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- - - -testing \ No newline at end of file From 05d539fac857bf13b990fcf467e46e8cacdf0eff Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 15:27:44 +0530 Subject: [PATCH 5496/5916] commit message from python script for onboarding temptxtfile.txt --- voice/temptxtfile.txt | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..5e01a9d79 --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1,5 @@ +77u/QW4gYWxsZSBCYW5rZW4gKE1GSXMpDQp1bmQgYW4gZGllIFJlY2hlbnplbnRyYWxlbiBkZXINClNwYXJrYXNzZW4gdW5kIEtyZWRpdGdlbm9zc2Vuc2NoYWZ0ZW4NCihzb3dpZSBhbiBkaWUgQmFua2VudmVyYsOkbmRlIHVuZCBNZWxkZXdlc2VuLQ0KU29mdHdhcmUtSGVyc3RlbGxlcikNCjIzLiBEZXplbWJlciAyMDE5DQpSdW5kc2NocmVpYmVuIE5yLiA3MC8yMDE5DQpCYW5rZW5zdGF0aXN0aWsgLyBLdW5kZW5zeXN0ZW1hdGlrDQpoaWVyOiBTZWt0b3JhbGUgWnVvcmRudW5nIGRlciBHb3Zlcm5tZW50IE5hdGlvbmFsIE1vcnRnYWdlIEFzc29jaWF0aW9uIChHaW5uaWUgTWFlKSBuYWNoDQpkZW0gRVNWRzEgMjAxMA0KU2VociBnZWVocnRlIERhbWVuIHVuZCBIZXJyZW4sDQpkaWUgRXVyb3DDpGlzY2hlIFplbnRyYWxiYW5rIGhhdCBkaWUgc2VrdG9yYWxlIFp1b3JkbnVuZyBkZXIgR292ZXJubWVudCBOYXRpb25hbCBNb3J0Z2FnZQ0KQXNzb2NpYXRpb24gKEdpbm5pZSBNYWUpIG5hY2ggZGVtIEVTVkcgMjAxMCDDvGJlcnByw7xmdCB1bmQga29tbXQgenUgZm9sZ2VuZGVtIEVyZ2VibmlzOg0KR2lubmllIE1hZSBpc3QgendhciBlaW5lIEVpbmhlaXQgZGVzIFN0YWF0ZXMsIGhhdCBhYmVyIGVpbmUgZWlnZW5lIFJlY2h0c3BlcnPDtm5saWNoa2VpdCB1bmQNCnRyaXR0IGFscyBNYXJrdHByb2R1emVudCBhdWYuIEdlbcOkw58gZGVuIFZvcmdhYmVuIGRlcyBFU1ZHIHNjaGVpZGV0IGRhbWl0IGVpbmUgWnVvcmRudW5nDQp6dSBTZWt0b3IgUy4gMTMgKFN0YWF0KSBhdXMuIERlciBTY2h3ZXJwdW5rdCBkZXIgVMOkdGlna2VpdCBsaWVndCB2aWVsbWVociBpbSBWZXJicmllZnVuZ3NnZS0NCnNjaMOkZnQsIHNvZGFzcyBHaW5uaWUgTWFlIGRlbSBUZWlsc2VrdG9yIFMuIDEyNSAoc29uc3RpZ2VzIEZpbmFuemluc3RpdHV0KSBpbSBTZWt0b3IgUy4gMTINCihzb25zdGlnZSBmaW5hbnppZWxsZSBVbnRlcm5laG1lbiAob2huZSBCYW5rZW4pKSB6dWdlb3JkbmV0IHdlcmRlbiBzb2xsLjINClNvZmVybiBTaWUgR2lubmllIE1hZSBiaXNoZXIgaGllcnZvbiBhYndlaWNoZW5kIGdlc2NobMO8c3NlbHQgaGFiZW4sIGJpdHRlbiB3aXIgU2llLCBkaWUNCmFrdHVhbGlzaWVydGUgWnVvcmRudW5nIGVyc3RtYWxzIGbDvHIgZGVuIE1lbGRldGVybWluIE3DpHJ6IDIwMjAgYW56dXdlbmRlbi4gRGllIFVtc3RlbC0NCmx1bmcgaXN0IGbDvHIgYmFua3N0YXRpc3Rpc2NoZSB1bmQgYXXDn2Vud2lydHNjaGFmdGxpY2hlIEVyaGVidW5nZW4gZ2xlaWNoemVpdGlnIHZvcnp1bmVobWVuLg0KRGVyIGtvcnJla3RlIEt1bmRlbnN5c3RlbWF0aWstU2NobMO8c3NlbCBmw7xyIGRpZXNlcyBVbnRlcm5laG1lbiBpc3QgNjQgRy4NCjEgRXVyb3DDpGlzY2hlcyBTeXN0ZW0gVm9sa3N3aXJ0c2NoYWZ0bGljaGVyIEdlc2FtdHJlY2hudW5nZW4uDQoyIEF1Y2ggZGllIHByaXZhdCBrb250cm9sbGllcnRlbiBVUy1hbWVyaWthbmlzY2hlbiBFaW5yaWNodHVuZ2VuIEZlZGVyYWwgTmF0aW9uYWwgTW9ydGdhZ2UgQXNzb2NpYXRpb24gKEZhbm5pZQ0KTWFlKSB1bmQgRmVkZXJhbCBIb21lIExvYW4gTW9ydGdhZ2UgQ29ycG9yYXRpb24gKEZyZWRkaWUgTWFjKSBnZWjDtnJlbiBhbHMgc29uc3RpZ2UgRmluYW56aW5zdGl0dXRlIGRlbQ0KRVNWRy1UZWlsc2VrdG9yIFMuIDEyNSBhbi4NCkRldXRzY2hlIEJ1bmRlc2JhbmssIFplbnRyYWxlLCBTIDE0DQpXaWxoZWxtLUVwc3RlaW4tU3RyYcOfZSAxNCwgNjA0MzEgRnJhbmtmdXJ0IGFtIE1haW4sIFRlbGVmb246IDA2OSA5NTY2LTM0NDcNCmt1bmRlbnN5c3RlbWF0aWtAYnVuZGVzYmFuay5kZSwgd3d3LmJ1bmRlc2JhbmsuZGUsIFNXSUZUOiBNQVJLIERFIEZGDQrigKYNCjkNCjENCi4NCjUNCjANCikNCkMNClANCigNCjgNCjINCjANCjENCi4NCnINCmQNCnINCm8NClYNClJ1bmRzY2hyZWliZW4gTnIuIDcwLzIwMTkNClNlaXRlIDIgdm9uIDINClNvbGx0ZSBkZXIgb2JlbiBnZW5hbm50ZSBUZXJtaW4gaW0gRWluemVsZmFsbCBuaWNodCBlaW5nZWhhbHRlbiB3ZXJkZW4ga8O2bm5lbiBvZGVyIGRpZQ0KVW1zZXR6dW5nIHp1IHNpZ25pZmlrYW50ZW4gVmVyw6RuZGVydW5nZW4gaW4gQXVzd2Vpc3Bvc2l0aW9uZW4gZsO8aHJlbiwgYml0dGVuIHdpciB1bQ0KTWl0dGVpbHVuZyBhbiBkaWUgbmFjaGZvbGdlbmRlbiBGYWNoYmVyZWljaGU6DQrigKIgIE1vbmF0bGljaGUgQmlsYW56c3RhdGlzdGlrIGRlciBCYW5rZW4gKE1GSXMpOiBzdGF0aXN0aWstUzEwMEBidW5kZXNiYW5rLmRlDQrigKIgIFN0YXRpc3RpayDDvGJlciBXZXJ0cGFwaWVyaW52ZXN0bWVudHM6IHdwLWludmVzdC1zdGF0aXN0aWtAYnVuZGVzYmFuay5kZQ0K4oCiICBBdXNsYW5kc3N0YXR1cyBkZXIgQmFua2VuIChNRklzKTogc3RhdGlzdGlrLVMxMjBAYnVuZGVzYmFuay5kZQ0K4oCiICBBdcOfZW53aXJ0c2NoYWZ0c21lbGR1bmdlbjogU3RhdGlzdGlrLUFXVi1NZWxkZWZyYWdlbkBidW5kZXNiYW5rLmRlDQrigKIgIFdlcnRwYXBpZXJ2ZXJrZWhyIHVuZCBGaW5hbnpkZXJpdmF0ZTogQVdWLVoxMEBidW5kZXNiYW5rLmRlDQpGcmFnZW4genVyIHNla3RvcmFsZW4gWnVvcmRudW5nIHZvbiBFaW5oZWl0ZW4ga8O2bm5lbiBTaWUgd2llIGJpc2hlciBhbiBkZW4gRmFjaGJlcmVpY2gNCkt1bmRlbnN5c3RlbWF0aWssIEUtTWFpbC1BZHJlc3NlOiBrdW5kZW5zeXN0ZW1hdGlrQGJ1bmRlc2JhbmsuZGUsIGFkcmVzc2llcmVuLg0KTWl0IGZyZXVuZGxpY2hlbiBHcsO8w59lbg0KRGV1dHNjaGUgQnVuZGVzYmFuaw0KQnJ1bmtlbg0KS8O2bmlnDQo5DQoxDQouDQo1DQowDQopDQpDDQpQDQooDQo4DQoyDQowDQoxDQouDQpyDQpkDQpyDQpvDQpWDQpEZXV0c2NoZSBCdW5kZXNiYW5rLCBaZW50cmFsZSwgUyAxNA0KV2lsaGVsbS1FcHN0ZWluLVN0cmHDn2UgMTQsIDYwNDMxIEZyYW5rZnVydCBhbSBNYWluLCBUZWxlZm9uOiAwNjkgOTU2Ni0zNDQ3DQprdW5kZW5zeXN0ZW1hdGlrQGJ1bmRlc2JhbmsuZGUsIHd3dy5idW5kZXNiYW5rLmRlLCBTV0lGVDogTUFSSyBERSBGRg0K + + + +testing \ No newline at end of file From 418b15c2e3f2c0ec8d590f2b70d335769fc7eb06 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:29:06 +0530 Subject: [PATCH 5497/5916] Delete asr_en_unified.yaml --- asr_en_unified.yaml | 268 -------------------------------------------- 1 file changed, 268 deletions(-) delete mode 100644 asr_en_unified.yaml diff --git a/asr_en_unified.yaml b/asr_en_unified.yaml deleted file mode 100644 index b6ffcff2f..000000000 --- a/asr_en_unified.yaml +++ /dev/null @@ -1,268 +0,0 @@ -openapi: 3.0.1 -info: - title: ASR EN Unified - description: |+ - This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.
- This microservice can be effective for audio files with mixed English accents, as well as audio files that are noisy.
- Do ensure that your audio file length is less than 15 seconds. - version: '1.0.0' - x-apitype: small file - x-subscribelink: asr_en_unified - x-apitypedescription: |+ - Fast | Single-Call | 15 sec/Call - x-inputfilelimit: |+ - Process up to 15 seconds of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 15 seconds. - x-apidetailsdesc: |+ - Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/asrenunified/v1/get_transcript: - post: - tags: - - v1.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - status: Success - message: Successfully Processed - results: - transcript: 'i want to apply for a credit farslidy to service my hish d v long ' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - transcript: - x-name: transcript - type: string - example: i want to apply for a credit faclity - description: Converted Text - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - wav_base64 - - model - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - model: - x-name: model - type: string - default: True - example: generic - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - 1. generic - for non-accent specific speech (default) - 2. en-SG - for Singaporean-accented English speech - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 20, 2022 - x-details: Major release - description: Input Parameter Changed to wav_base64 String - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 04, 2022 - x-details: Minor release - description: Patch fixes to generic and new model addition - sg-unified - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 01, 2022 - x-details: Initial version release - description: Archived - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From b6f8579f27d235403cc3cc8242255be574bcae19 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:29:42 +0530 Subject: [PATCH 5498/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 5 ----- 1 file changed, 5 deletions(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index 5e01a9d79..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1,5 +0,0 @@ -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 - - - -testing \ No newline at end of file From 1e6cef279dcb883ddb53e582a6bad0030e53fa7c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:33:15 +0530 Subject: [PATCH 5499/5916] Add files via upload --- asr_en_unified.yaml | 268 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 268 insertions(+) create mode 100644 asr_en_unified.yaml diff --git a/asr_en_unified.yaml b/asr_en_unified.yaml new file mode 100644 index 000000000..b6ffcff2f --- /dev/null +++ b/asr_en_unified.yaml @@ -0,0 +1,268 @@ +openapi: 3.0.1 +info: + title: ASR EN Unified + description: |+ + This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.
+ This microservice can be effective for audio files with mixed English accents, as well as audio files that are noisy.
+ Do ensure that your audio file length is less than 15 seconds. + version: '1.0.0' + x-apitype: small file + x-subscribelink: asr_en_unified + x-apitypedescription: |+ + Fast | Single-Call | 15 sec/Call + x-inputfilelimit: |+ + Process up to 15 seconds of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 15 seconds. + x-apidetailsdesc: |+ + Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v1.0.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/asrenunified/v1/get_transcript: + post: + tags: + - v1.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + status: Success + message: Successfully Processed + results: + transcript: 'i want to apply for a credit farslidy to service my hish d v long ' + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: {} + description: Json Object of returned results + properties: + transcript: + x-name: transcript + type: string + example: i want to apply for a credit faclity + description: Converted Text + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + input: + type: object + required: + - wav_base64 + - model + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + model: + x-name: model + type: string + default: True + example: generic + description: |+ + Model selection. For best performance, select the model which best matches the use-case: + 1. generic - for non-accent specific speech (default) + 2. en-SG - for Singaporean-accented English speech + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 20, 2022 + x-details: Major release + description: Input Parameter Changed to wav_base64 String + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Aug 04, 2022 + x-details: Minor release + description: Patch fixes to generic and new model addition - sg-unified + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Jun 01, 2022 + x-details: Initial version release + description: Archived + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 4d69c6668d694ed51e4ab1a678eabc8f83657cff Mon Sep 17 00:00:00 2001 From: Ramesh Date: Tue, 1 Nov 2022 15:33:24 +0530 Subject: [PATCH 5500/5916] commit message from python script for onboarding temptxtfile.txt --- voice/temptxtfile.txt | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..5e01a9d79 --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1,5 @@ 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 + + + +testing \ No newline at end of file From 2b2d3fe9b483a1cdc78a804677637128801c154b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 1 Nov 2022 15:33:51 +0530 Subject: [PATCH 5501/5916] Delete asr_en_unified.yaml --- asr_en_unified.yaml | 268 -------------------------------------------- 1 file changed, 268 deletions(-) delete mode 100644 asr_en_unified.yaml diff --git a/asr_en_unified.yaml b/asr_en_unified.yaml deleted file mode 100644 index b6ffcff2f..000000000 --- a/asr_en_unified.yaml +++ /dev/null @@ -1,268 +0,0 @@ -openapi: 3.0.1 -info: - title: ASR EN Unified - description: |+ - This Voice microservice takes in an audio file (in WAV format at 16kHz) and transcribes English speech content within the input file into text.
- This microservice can be effective for audio files with mixed English accents, as well as audio files that are noisy.
- Do ensure that your audio file length is less than 15 seconds. - version: '1.0.0' - x-apitype: small file - x-subscribelink: asr_en_unified - x-apitypedescription: |+ - Fast | Single-Call | 15 sec/Call - x-inputfilelimit: |+ - Process up to 15 seconds of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 15 seconds. - x-apidetailsdesc: |+ - Transcribes Singaporean-accented English speech content for audio file (in WAV format at 16kHz). -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v1.0.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/asrenunified/v1/get_transcript: - post: - tags: - - v1.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - status: Success - message: Successfully Processed - results: - transcript: 'i want to apply for a credit farslidy to service my hish d v long ' - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: {} - description: Json Object of returned results - properties: - transcript: - x-name: transcript - type: string - example: i want to apply for a credit faclity - description: Converted Text - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - input: - type: object - required: - - wav_base64 - - model - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - model: - x-name: model - type: string - default: True - example: generic - description: |+ - Model selection. For best performance, select the model which best matches the use-case: - 1. generic - for non-accent specific speech (default) - 2. en-SG - for Singaporean-accented English speech - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 20, 2022 - x-details: Major release - description: Input Parameter Changed to wav_base64 String - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Aug 04, 2022 - x-details: Minor release - description: Patch fixes to generic and new model addition - sg-unified - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jun 01, 2022 - x-details: Initial version release - description: Archived - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 1509ffad72158e29631823af6e0beab5aff49e7a Mon Sep 17 00:00:00 2001 From: Priyadharshini <57977344+priyadharshini-sent@users.noreply.github.com> Date: Wed, 2 Nov 2022 10:27:03 +0530 Subject: [PATCH 5502/5916] Update content_interest_profile.yaml --- analytics/content_interest_profile.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/analytics/content_interest_profile.yaml b/analytics/content_interest_profile.yaml index 505e7694e..8adb1de01 100644 --- a/analytics/content_interest_profile.yaml +++ b/analytics/content_interest_profile.yaml @@ -79,7 +79,7 @@ paths: schema: $ref: '#/components/schemas/successsite' example: - results: + results: message: Successfully Processed status: Success '401': @@ -1236,7 +1236,7 @@ components: properties: results: type: string - example: + example: description: Tracking script message: type: string From a17c3b3a26c1ea678ef0ec2ae034678cd00a973b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 2 Nov 2022 10:28:16 +0530 Subject: [PATCH 5503/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 5 ----- 1 file changed, 5 deletions(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index 5e01a9d79..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1,5 +0,0 @@ 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- - - -testing \ No newline at end of file From 3aa41fee3bb896cf9dfffe4934422ced2ee54d2c Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 3 Nov 2022 04:44:30 +0000 Subject: [PATCH 5504/5916] test --- train | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 train diff --git a/train b/train new file mode 100644 index 000000000..e69de29bb From 729e597eefa94cb0a9515f755f0531c0bc666411 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 3 Nov 2022 10:15:35 +0530 Subject: [PATCH 5505/5916] Delete train --- train | 0 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 train diff --git a/train b/train deleted file mode 100644 index e69de29bb..000000000 From 13c84e4bf977ac4634ce74a032131048abe807d6 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 3 Nov 2022 05:44:43 +0000 Subject: [PATCH 5506/5916] commit message from python script for onboarding temptxtfile.txt --- voice/temptxtfile.txt | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt new file mode 100644 index 000000000..ed0d17854 --- /dev/null +++ b/voice/temptxtfile.txt @@ -0,0 +1,5 @@ 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+ + + +testing \ No newline at end of file From 3ba214b53885a8c8ae4ff23c77fd03af20872ca3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 3 Nov 2022 11:15:33 +0530 Subject: [PATCH 5507/5916] Delete temptxtfile.txt --- voice/temptxtfile.txt | 5 ----- 1 file changed, 5 deletions(-) delete mode 100644 voice/temptxtfile.txt diff --git a/voice/temptxtfile.txt b/voice/temptxtfile.txt deleted file mode 100644 index ed0d17854..000000000 --- a/voice/temptxtfile.txt +++ /dev/null @@ -1,5 +0,0 @@ -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 - - - -testing \ No newline at end of file From f9c8ffe7ab1d38bf118693f6a8803080f5bb8c50 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 3 Nov 2022 06:33:41 +0000 Subject: [PATCH 5508/5916] commit message from python script for onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..e278bb05a --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: Test + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 624420e4f9cda100546b32865315bd628fbdd57e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 3 Nov 2022 16:45:05 +0530 Subject: [PATCH 5509/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index e278bb05a..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: Test - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 18795b2f2f8e3bceeadef322bfa9fc1261c26dfc Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 3 Nov 2022 11:25:53 +0000 Subject: [PATCH 5510/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..e278bb05a --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: Test + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From d0b94578ddb36de569520398f30f2153ab966fa1 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 3 Nov 2022 17:17:39 +0530 Subject: [PATCH 5511/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index e278bb05a..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: Test - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 18a225d5079510d3c9d7161ce911e1bc2d042d12 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 3 Nov 2022 11:49:05 +0000 Subject: [PATCH 5512/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..e278bb05a --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: Test + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From fa4e1b33202991a5a7eb79e3bf3d526d066a318f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 3 Nov 2022 17:20:47 +0530 Subject: [PATCH 5513/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index e278bb05a..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: Test - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 750656d5ac70d9f320f596932d57d9d0c90178b1 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 3 Nov 2022 12:31:28 +0000 Subject: [PATCH 5514/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..e278bb05a --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: Test + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 5a551f3185292e6f2b0999993ecb8935137478d4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 3 Nov 2022 18:06:18 +0530 Subject: [PATCH 5515/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index e278bb05a..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: Test - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From d084e40fda7a74500d7e7f89b777c201ccfef436 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 3 Nov 2022 12:43:58 +0000 Subject: [PATCH 5516/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..e278bb05a --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: Test + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 7a74fab56040c6e05d4ab6ce0f32c4182d9bf750 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Mon, 7 Nov 2022 09:41:27 +0530 Subject: [PATCH 5517/5916] Update page_profiler_eng.yaml --- nlp/page_profiler_eng.yaml | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/nlp/page_profiler_eng.yaml b/nlp/page_profiler_eng.yaml index 38d58c9b4..f71b3139c 100644 --- a/nlp/page_profiler_eng.yaml +++ b/nlp/page_profiler_eng.yaml @@ -12,19 +12,19 @@ - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

- Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media. version: '2.1.1' - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | One URL /Call - x-inputfilelimit: |+ - Process One URL per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - API allows to retrieve from One URL per request. - x-apidetailsdesc: |+ - Retrieves web content in English from the input URL. + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + API allows to retrieve from One URL per request. + x-apidetailsdesc: |+ + Retrieves web content in English from the input URL. servers: - url: 'https://apis.sentient.io' tags: From 1d5823aa3874f5fc8c95d6b2f58dddc2d5ece0d2 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Mon, 7 Nov 2022 09:45:02 +0530 Subject: [PATCH 5518/5916] Update page_profiler_jp.yaml --- nlp/page_profiler_jp.yaml | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/nlp/page_profiler_jp.yaml b/nlp/page_profiler_jp.yaml index 09c2556de..55c469dd9 100644 --- a/nlp/page_profiler_jp.yaml +++ b/nlp/page_profiler_jp.yaml @@ -12,18 +12,18 @@ version: '1.1.0' x-subscribelink: page_profiler_jp x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | One URL /Call - x-inputfilelimit: |+ - Process One URL per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - API allows to retrieve from One URL per request. - x-apidetailsdesc: |+ - Retrieves web content in Japanese from the input URL. + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + API allows to retrieve from One URL per request. + x-apidetailsdesc: |+ + Retrieves web content in Japanese from the input URL. servers: - url: 'https://apis.sentient.io' tags: From 3f869dc358292fb6936b6ab9b554daf4c1a41c22 Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Mon, 7 Nov 2022 09:45:35 +0530 Subject: [PATCH 5519/5916] Update page_profiler_thai.yaml --- nlp/page_profiler_thai.yaml | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/nlp/page_profiler_thai.yaml b/nlp/page_profiler_thai.yaml index b11e9d302..5aecd25f7 100644 --- a/nlp/page_profiler_thai.yaml +++ b/nlp/page_profiler_thai.yaml @@ -11,18 +11,18 @@ version: '1.1.0' x-subscribelink: page_profiler_thai x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | One URL /Call - x-inputfilelimit: |+ - Process One URL per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - API allows to retrieve from One URL per request. - x-apidetailsdesc: |+ - Retrieves web content in Thai from the input URL. + x-apitypedescription: |+ + Fast | Single-Call | One URL /Call + x-inputfilelimit: |+ + Process One URL per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + API allows to retrieve from One URL per request. + x-apidetailsdesc: |+ + Retrieves web content in Thai from the input URL. servers: - url: 'https://apis.sentient.io' tags: From 72ef4c970160644e0a072331bd8cf5d915eec4ca Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 7 Nov 2022 15:06:11 +0800 Subject: [PATCH 5520/5916] ner new yaml added --- index.yaml | 3 +- nlp/named-entity_recognition_eng.yaml | 20 +- nlp/named-entity_recognition_eng_v2.0.yaml | 360 +++++++++++++++++++++ 3 files changed, 376 insertions(+), 7 deletions(-) create mode 100644 nlp/named-entity_recognition_eng_v2.0.yaml diff --git a/index.yaml b/index.yaml index e76aeae12..454071a7d 100644 --- a/index.yaml +++ b/index.yaml @@ -116,7 +116,8 @@ nlp: named-entity_recognition_eng: title: Named-Entity Recognition ENG versions: - 2.0.0: 'named-entity_recognition_eng.yaml' + 3.0.0: 'named-entity_recognition_eng.yaml' + 2.0.0: 'named-entity_recognition_eng_v2.0.yaml' 1.0.0: 'named-entity_recognition_eng_v1.0.yaml' sentence_paraphrase: title: Sentence Paraphrase diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 27ae135a9..722a3cb1d 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -28,15 +28,15 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured English text. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - Feb 28, 2022" +- name: "v3.0.0" + description: "Published Date - Nov 07, 2022" paths: - /microservices/nlp/namedentityrecognition/v2/getpredictions: + /microservices/nlp/namedentityrecognition/v3/getpredictions: post: tags: - - v2.0.0 + - v3.0.0 responses: '200': description: Ok @@ -299,6 +299,14 @@ components: versions: type: object properties: + v3.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 07, 2022 + x-details: New model + description: Latest Version v2.0.0: type: array items: @@ -306,7 +314,7 @@ components: - type: string example: Published Date - Feb 28, 2022 x-details: Merged Spacy ner and change in Output format - description: Latest Version + description: Merged Spacy ner and change in Output format v1.0.0: type: array items: diff --git a/nlp/named-entity_recognition_eng_v2.0.yaml b/nlp/named-entity_recognition_eng_v2.0.yaml new file mode 100644 index 000000000..27ae135a9 --- /dev/null +++ b/nlp/named-entity_recognition_eng_v2.0.yaml @@ -0,0 +1,360 @@ +openapi: 3.0.1 +info: + title: Named-Entity Recognition ENG + description: |+ + This NLP microservice locates and classifies the named-entity classes from input unstructured English text and also returns the entity start and end positions.
+ The named-entity classes extracted include people's names, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals.
+ This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
+ + The input text **should not exceed 5000 characters**. + version: '2.0.0' + x-additionalinfo: |+ + Suggested Use Cases: + - Extracting structured pre-defined information from text.

+ - Gain insights from online customers - extract structured information from unstructured text data such as chat logs, emails, news articles, etc. to find and label fields within a document and then apply sentiment analysis to understand customer opinions to find actionable product and UX insights.

+ - Entity analysis - identify entities within documents, including receipts, invoices, and contracts; and label them by types such as date, person, contact information, organization, location, events, products, and media.

+ x-subscribelink: named-entity_recognition_eng + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies named-entities classes from unstructured English text. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - Feb 28, 2022" +paths: + /microservices/nlp/namedentityrecognition/v2/getpredictions: + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message": "Successfully Processed","results": {"cardinal": [{"entity": "77","start": 45,"end": 47},{"entity": "11.59pm","start": 520,"end": 527},{"entity": "14","start": 569,"end": 571}],"status": "Success"}} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json object in returned results + properties: + person: + x-name: person + type: array + example: [{"end": 3,"entity": "Donald Trump","start": 1}] + description: Name of persons, including fictional + other: + x-name: other + type: array + example: [{"entity":"Chinese","start": 1,"end": 2},{"entity":Singaporean,"start": 4,"end": 5},{"entity": Malay,"start": 6,"end": 7}] + description: Other miscellaneous classes + facility: + x-name: facility + type: array + example: [{"entity":Changi Airport,"start": 1,"end": 3}] + description: Buildings, airports, highways, bridges, etc. + organization: + x-name: organization + type: array + example: [{"entity": "ICAO","start": 14,"end": 15}] + description: Companies, agencies, institutions, etc. + geopolitical: + x-name: geopolitical + type: array + example: [{"entity": "Singapore","start": 0,"end": 1}] + description: Countries, cities, states. + location: + x-name: location + type: array + example: [{"entity":"Asia","start": 42,"end": 43}] + description: Non-GPE locations, mountain ranges, bodies of water + product: + x-name: product + type: array + example: [{"entity": Formula 1,"start": 5,"end": 7}] + description: Objects, vehicles, foods, etc. (Not services.) + event: + x-name: event + type: array + example: [{"entity": the Second World War,"start": 1,"end": 5}] + description: Named hurricanes, battles, wars, sports events, etc. + work_of_art: + x-name: work_of_art + type: array + example: [{"entity":Wizardry,"start": 1,"end": 2}] + description: Titles of books, songs, etc. + law: + x-name: law + type: array + example: [{"entity":the Penal Code,"start": 1,"end": 4}] + description: Named documents made into laws + language: + x-name: language + type: array + example: [{"entity": English,"start": 1,"end": 2}] + description: Any named language. + date: + x-name: date + type: array + example: [{"entity": Tuesday,"start": 1,"end": 2}] + description: Absolute or relative dates or periods + time: + x-name: time + type: array + example: [{"entity": twenty-four hours,"start": 1,"end": 5}] + description: Times smaller than a day + percent: + x-name: percent + type: array + example: [{"entity": 91%,"start": 1,"end": 2},{"entity": 25%,"start": 2,"end": 3},{"entity": 61%,"start": 4,"end": 5}] + description: Percentage, including ”%“ + money: + x-name: money + type: array + example: [{"entity": up to $1000,"start": 1,"end": 4}] + description: Monetary values, including unit + quantity: + x-name: quantity + type: array + example: [{"entity": about one degree,85 miles,137 kilometres,"start": 1,"end": 8}] + description: Measurement units, as of weight or distance + ordinal: + x-name: ordinal + type: array + example: [{"entity": ninth,"start": 1,"end": 2},{"entity": seventh,"start": 3,"end": 4},{"entity": second,"start": 5,"end": 6}] + description: Ordinal numbers found in the text string, e.g “first”, “second”, etc + cardinal: + x-name: cardinal + type: array + example: [{"entity": four,"start": 1,"end": 2}] + description: Numerals that do not fall under another type. + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Feb 28, 2022 + x-details: Merged Spacy ner and change in Output format + description: Latest Version + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Updated version release v1.0 + description: End-of-life by May 31,2022 + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 25, 2019 + x-details: Initial version release + description: Archived + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: SINGAPORE - Immigration officers have issued 77 stay-home notices as of noon on Wednesday (Feb 19), 12 hours after the scheme kicked in.These notices were issued to Singapore residents, long-term pass holders and foreign workers who have travelled to mainland China in the last 14 days, said the Immigration and Checkpoints Authority (ICA) in response to queries on Thursday.Travellers from Hubei province are excluded from this scheme, as they are quarantined.Those who are issued the new notices, which took effect at 11.59pm on Tuesday, cannot leave their homes for 14 days./n This is stricter than the leave of absence (LOA), which allowed people to briefly leave their homes for necessities. LOA will no longer be issued.Those who do not observe the stay-home period can be prosecuted under the Infectious Diseases Act, warned the ICA.They could be fined up to $10,000 or jailed for up to six month, or both, for the first offence. For subsequent offences, this could go up to a maximum of $20,000 and up to a year. + description: |+ + Input text. + + Supported formats: ASCII only + return_entity_position: + x-name: return_entity_position + type: boolean + default: false + example: true + description: |+ + Boolean value indicating whether entity position needs to be returned or not. Default value is True. + legacy_output: + x-name: legacy_output + type: boolean + default: false + example: false + description: |+ + Boolean value indicating whether the output should be of legacy output format. Default value is False. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From dccf2aa13eceade6c0df6d7d73f9f27ac29a8629 Mon Sep 17 00:00:00 2001 From: divya Date: Mon, 7 Nov 2022 15:08:37 +0800 Subject: [PATCH 5521/5916] ner new yaml added --- nlp/named-entity_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 722a3cb1d..91c20db47 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -7,7 +7,7 @@ info: This microservice automatically extracts structured information from unstructured text data such as chat logs, emails, news articles, etc.
The input text **should not exceed 5000 characters**. - version: '2.0.0' + version: '3.0.0' x-additionalinfo: |+ Suggested Use Cases: - Extracting structured pre-defined information from text.

From 30a68b4c228aa5accc2fefeb05497df3c97a86f6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 8 Nov 2022 16:12:30 +0530 Subject: [PATCH 5522/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index d60cf9688..377e0fa48 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -131,7 +131,7 @@ tags: - name: "v0.1.0" description: "Published Date - Oct 20, 2022" paths: - /microservices/voice/whisperasr/v0/gettranscript: + /microservice/voice/whisperasr/v0/gettranscript: post: tags: - v0.1.0 From 3ec551799270532118282fd56eba477a4fa7ca7d Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 9 Nov 2022 09:37:52 +0530 Subject: [PATCH 5523/5916] Update defect_detection.yaml --- computer_vision/defect_detection.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml index da708fd56..5ba4a0e3c 100644 --- a/computer_vision/defect_detection.yaml +++ b/computer_vision/defect_detection.yaml @@ -5,7 +5,11 @@ info: description: |+ This computer vision microservice detects defects in buildings. It identifies the defect category along with the confidence score.
- The size of your image file **should not exceed 5 MB** + The size of your image file **should not exceed 5 MB**. Minimum image resolution for + the building defect detection model to work is 128X128 pixels. + + The model is trained a dataset of concrete images of a campus building which contained + cracks. Our model on testing in a holdout validation dataset gave an accuracy of 99.9%. version: v0.1.0 x-subscribelink: defect_detection x-apitype: small file @@ -238,7 +242,7 @@ components: default: True example: 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 description: |+ - Input the image to be passed in base64 format + Input the image to be passed in base64 format. The supported file format: gif,jpeg, jpg, png etc. Refer to Python Imaging Library (PIL) for knowing all supported formats. securitySchemes: From e0a0ec06e63b0233a88424db466f0f4a739d8a4d Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 9 Nov 2022 09:43:39 +0530 Subject: [PATCH 5524/5916] Update defect_detection.yaml --- computer_vision/defect_detection.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml index 5ba4a0e3c..eeeba18b5 100644 --- a/computer_vision/defect_detection.yaml +++ b/computer_vision/defect_detection.yaml @@ -4,12 +4,12 @@ info: title: Building Defect detection model description: |+ This computer vision microservice detects defects in buildings. - It identifies the defect category along with the confidence score.
- The size of your image file **should not exceed 5 MB**. Minimum image resolution for - the building defect detection model to work is 128X128 pixels. - + It identifies the defect category along with the confidence score. The model is trained a dataset of concrete images of a campus building which contained cracks. Our model on testing in a holdout validation dataset gave an accuracy of 99.9%. +
+ The size of your image file **should not exceed 5 MB**. Minimum image resolution for + the building defect detection model to work is 128X128 pixels. version: v0.1.0 x-subscribelink: defect_detection x-apitype: small file From 9be72bad8c367a190d16b55f24bf2709b368da94 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 9 Nov 2022 09:49:15 +0530 Subject: [PATCH 5525/5916] Update defect_detection.yaml --- computer_vision/defect_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml index eeeba18b5..018c6db75 100644 --- a/computer_vision/defect_detection.yaml +++ b/computer_vision/defect_detection.yaml @@ -9,7 +9,7 @@ info: cracks. Our model on testing in a holdout validation dataset gave an accuracy of 99.9%.
The size of your image file **should not exceed 5 MB**. Minimum image resolution for - the building defect detection model to work is 128X128 pixels. + perfect building defect detection model is 128X128 pixels. version: v0.1.0 x-subscribelink: defect_detection x-apitype: small file From c36d64462cc5b4f5c447d6dad88f7dbd3f655881 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 9 Nov 2022 09:52:52 +0530 Subject: [PATCH 5526/5916] Update defect_detection.yaml --- computer_vision/defect_detection.yaml | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml index 018c6db75..03e34df09 100644 --- a/computer_vision/defect_detection.yaml +++ b/computer_vision/defect_detection.yaml @@ -3,13 +3,10 @@ openapi: 3.0.1 info: title: Building Defect detection model description: |+ - This computer vision microservice detects defects in buildings. - It identifies the defect category along with the confidence score. - The model is trained a dataset of concrete images of a campus building which contained - cracks. Our model on testing in a holdout validation dataset gave an accuracy of 99.9%. + This computer vision microservice detects defects in buildings.It identifies the defect category along with the confidence score. The model is trained a dataset of concrete images of a campus building which contained cracks. Our model on testing in a holdout validation dataset gave an accuracy of 99.9%.
The size of your image file **should not exceed 5 MB**. Minimum image resolution for - perfect building defect detection model is 128X128 pixels. + perfect building defect detection model is **128X128 pixels**. version: v0.1.0 x-subscribelink: defect_detection x-apitype: small file From fdd00c55c88bbfb828d7198a90ca83744e41e3ce Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Wed, 9 Nov 2022 09:54:21 +0530 Subject: [PATCH 5527/5916] Update defect_detection.yaml --- computer_vision/defect_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml index 03e34df09..f7b712df4 100644 --- a/computer_vision/defect_detection.yaml +++ b/computer_vision/defect_detection.yaml @@ -3,7 +3,7 @@ openapi: 3.0.1 info: title: Building Defect detection model description: |+ - This computer vision microservice detects defects in buildings.It identifies the defect category along with the confidence score. The model is trained a dataset of concrete images of a campus building which contained cracks. Our model on testing in a holdout validation dataset gave an accuracy of 99.9%. + This computer vision microservice detects defects in buildings. It identifies the defect category along with the confidence score. The model is trained a dataset of concrete images of a campus building which contained cracks. Our model on testing in a holdout validation dataset gave an accuracy of 99.9%.
The size of your image file **should not exceed 5 MB**. Minimum image resolution for perfect building defect detection model is **128X128 pixels**. From a55f863fa0b1837de1135aae122c38bab4508e5e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 9 Nov 2022 16:25:36 +0530 Subject: [PATCH 5528/5916] Update inverse_text_normalisation_eng.yaml --- nlp/inverse_text_normalisation_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/inverse_text_normalisation_eng.yaml b/nlp/inverse_text_normalisation_eng.yaml index fb9f06691..479bcf2e1 100644 --- a/nlp/inverse_text_normalisation_eng.yaml +++ b/nlp/inverse_text_normalisation_eng.yaml @@ -24,10 +24,10 @@ info: x-apidetailsdesc: |+ Recovers Normalized text from input text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.1" - description: "Published Date - Oct 12, 2022" + description: "Published Date - Nov 09, 2022" paths: /microservices/nlp/inversenorm/v2/getpredictions: post: @@ -219,7 +219,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 12, 2022 + example: Published Date - Nov 09, 2022 x-details: Bug fix description: Bug fix v2.1.0: From 2c316b029df33eac02dcd6209cce13946ba2e145 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 10 Nov 2022 09:50:43 +0530 Subject: [PATCH 5529/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index 093817cc1..55a685980 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -27,7 +27,7 @@ info: x-apidetailsdesc: |+ Extracts text content from pdf docs. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.0.0" description: "Published Date - Jul 13, 2022" From c800650cc46a8a78a2d51795004db6e4d2403bd4 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 10 Nov 2022 13:55:36 +0530 Subject: [PATCH 5530/5916] Update defect_detection.yaml --- computer_vision/defect_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/defect_detection.yaml b/computer_vision/defect_detection.yaml index f7b712df4..ad6f25049 100644 --- a/computer_vision/defect_detection.yaml +++ b/computer_vision/defect_detection.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: - title: Building Defect detection model + title: Building Defect Detection description: |+ This computer vision microservice detects defects in buildings. It identifies the defect category along with the confidence score. The model is trained a dataset of concrete images of a campus building which contained cracks. Our model on testing in a holdout validation dataset gave an accuracy of 99.9%.
From 3463689c6d947345f53728d6281393025401efdb Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Nov 2022 12:52:29 +0530 Subject: [PATCH 5531/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index 55a685980..e6f197c97 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -11,7 +11,7 @@ info: Suggested Use Cases: - Used for pre/post processing of documents so that the output can paired with another microservice to address a specific solution. For example, text extracted from the PDF document can be used with a Voice microservice such as Text-to-Speech.
- Can be used for solutions related to processing workflows that are document-heavy so that the user can focus on the more value-added decisions. Documents in a variety of formats can be taken in to return cleanly structured data. Examples included mortgage processing, procurement data etc. - version: '1.0.0' + version: '2.1.0' x-subscribelink: pdf_extractor x-apitype: small file x-apitypedescription: |+ @@ -29,13 +29,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.0" - description: "Published Date - Jul 13, 2022" +- name: "v2.1.0" + description: "Published Date - Nov 14, 2022" paths: /microservices/utility/pdfextractor/v2/getresults: post: tags: - - v2.0.0 + - v2.1.0 responses: '200': description: Ok @@ -218,21 +218,29 @@ components: versions: type: object properties: + v2.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 14, 2022 + x-details: Bug Fix + description: Latest Version v2.0.0: type: array items: oneOf: - type: string example: Published Date - Jul 13, 2022 - x-details: Initial version release - description: Latest Version + x-details: Archived + description: Old Version v1.0.0: type: array items: oneOf: - type: string example: Published Date - Jul 30, 2020 - x-details: Initial version release + x-details: Archived description: Old Version input: type: object From cb5b02e8d3fa6bc57cedf562acc7a9181ae0bad3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Nov 2022 12:55:11 +0530 Subject: [PATCH 5532/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index e6f197c97..2efa78189 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -233,7 +233,7 @@ components: - type: string example: Published Date - Jul 13, 2022 x-details: Archived - description: Old Version + description: Deprecated v1.0.0: type: array items: @@ -241,7 +241,7 @@ components: - type: string example: Published Date - Jul 30, 2020 x-details: Archived - description: Old Version + description: Deprecated input: type: object required: From 10eb1da0b79e78f8c8f443b09e7e1f66ab28ec61 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 14 Nov 2022 16:25:47 +0530 Subject: [PATCH 5533/5916] Update speech_enhancement.yaml --- voice/speech_enhancement.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speech_enhancement.yaml b/voice/speech_enhancement.yaml index d331fc415..4bee46437 100644 --- a/voice/speech_enhancement.yaml +++ b/voice/speech_enhancement.yaml @@ -11,7 +11,7 @@ info: Suggested Use Cases: - Supports the following audio coding formats: WAV files and 16-bit mono.

- Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 + version: 0.1.0 x-subscribelink: speech_enhancement x-apitype: small file x-apitypedescription: |+ From 1b3c768aa1209487e5b6c88f3a3794332a6511d9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Nov 2022 10:27:09 +0530 Subject: [PATCH 5534/5916] Update landmark_detection.yaml --- computer_vision/landmark_detection.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/landmark_detection.yaml b/computer_vision/landmark_detection.yaml index 0c04c02e8..18379557d 100644 --- a/computer_vision/landmark_detection.yaml +++ b/computer_vision/landmark_detection.yaml @@ -8,7 +8,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Can be used for geo-targeting apps with map feature or property development planning resource apps. - version: '1.0.1' + version: '1.0.0' x-subscribelink: landmark_detection x-apitype: small file x-apitypedescription: |+ From f6f24749cc7a79f5398bb016b4adc71cb7e55b16 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Nov 2022 10:47:34 +0530 Subject: [PATCH 5535/5916] Update csv-json_convertor.yaml --- utility/csv-json_convertor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/csv-json_convertor.yaml b/utility/csv-json_convertor.yaml index 09711c8b0..13c62982a 100644 --- a/utility/csv-json_convertor.yaml +++ b/utility/csv-json_convertor.yaml @@ -7,7 +7,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - For users who would like to combine data into useful spreadsheets for others to analyze, update, or refer to. This microservice can convert a collection of CSV spreadsheets like Google Sheets or Excel into JSON to analyze data without programming. - version: '2.0.0' + version: '2.1.0' x-subscribelink: csv-json_convertor x-apitype: small file x-apitypedescription: |+ From 52e4ad8a2951fe5b10c748f7b819da637a3dcf3a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 16 Nov 2022 14:29:59 +0530 Subject: [PATCH 5536/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 377e0fa48..d60cf9688 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -131,7 +131,7 @@ tags: - name: "v0.1.0" description: "Published Date - Oct 20, 2022" paths: - /microservice/voice/whisperasr/v0/gettranscript: + /microservices/voice/whisperasr/v0/gettranscript: post: tags: - v0.1.0 From e8c88d5f9d6faff74a15fa6784928ea5f222f05b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 18 Nov 2022 15:11:35 +0530 Subject: [PATCH 5537/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 312f0d741..45ec6514b 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Oct 13, 2022" From 7bd5bb7709653073ce4b60b30e98615314b98ce9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 18 Nov 2022 15:14:28 +0530 Subject: [PATCH 5538/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 45ec6514b..ba85ad411 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -130,7 +130,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v0.1.0 From fcd843054b979d3d20f31a22459c70f7c144a7f5 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Tue, 22 Nov 2022 05:05:53 +0000 Subject: [PATCH 5539/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- voice/ts_aiorg_automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml index e278bb05a..a687dddc1 100644 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -248,4 +248,4 @@ components: name: x-api-key in: header x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 76a73874ed08ce7c854bdb1a2b4271444377bdbc Mon Sep 17 00:00:00 2001 From: hailu <105261773+Hayagirivan@users.noreply.github.com> Date: Thu, 24 Nov 2022 16:55:14 +0530 Subject: [PATCH 5540/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index d60cf9688..0b10a578e 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -126,7 +126,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 20, 2022" From 4267fdb064e1949fb3216f6b0696d1c16489f6c2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 29 Nov 2022 14:21:34 +0530 Subject: [PATCH 5541/5916] Create whisper_asr_largefile.yaml --- voice/whisper_asr_largefile.yaml | 641 +++++++++++++++++++++++++++++++ 1 file changed, 641 insertions(+) create mode 100644 voice/whisper_asr_largefile.yaml diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_largefile.yaml new file mode 100644 index 000000000..d676a180d --- /dev/null +++ b/voice/whisper_asr_largefile.yaml @@ -0,0 +1,641 @@ +openapi: 3.0.1 +info: + title: Whisper ASR (Large File) + description: |+ + It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language. + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

+ * **Supported Languages:** + + | **Code** | **Name** | + |:-------------------------------------------:|:--------------------:| + | en | english | + | zh | chinese | + | de | german | + | es | spanish | + | ru | russian | + | ko | korean | + | fr | french | + | ja | japanese | + | pt | portuguese | + | tr | turkish | + | pl | polish | + | ca | catalan | + | nl | dutch | + | ar | arabic | + | sv | swedish | + | it | italian | + | id | indonesian | + | hi | hindi | + | fi | finnish | + | vi | vietnamese | + | iw | hebrew | + | uk | ukrainian | + | el | greek | + | ms | malay | + | cs | czech | + | ro | romanian | + | da | danish | + | hu | hungarian | + | ta | tamil | + | no | norwegian | + | th | thai | + | ur | urdu | + | hr | croatian | + | bg | bulgarian | + | lt | lithuanian | + | la | latin | + | mi | maori | + | ml | malayalam | + | cy | welsh | + | sk | slovak | + | te | telugu | + | fa | persian | + | lv | latvian | + | bn | bengali | + | sr | serbian | + | az | azerbaijani | + | sl | slovenian | + | kn | kannada | + | et | estonian | + | mk | macedonian | + | br | breton | + | eu | basque | + | is | icelandic | + | hy | armenian | + | ne | nepali | + | mn | mongolian | + | bs | bosnian | + | kk | kazakh | + | sq | albanian | + | sw | swahili | + | gl | galician | + | mr | marathi | + | pa | punjabi | + | si | sinhala | + | km | khmer | + | sn | shona | + | yo | yoruba | + | so | somali | + | af | afrikaans | + | oc | occitan | + | ka | georgian | + | be | belarusian | + | tg | tajik | + | sd | sindhi | + | gu | gujarati | + | am | amharic | + | yi | yiddish | + | lo | lao | + | uz | uzbek | + | fo | faroese | + | ht | haitian creole | + | ps | pashto | + | tk | turkmen | + | nn | nynorsk | + | mt | maltese | + | sa | sanskrit | + | lb | luxembourgish | + | my | myanmar | + | bo | tibetan | + | tl | tagalog | + | mg | malagasy | + | as | assamese | + | tt | tatar | + | haw | hawaiian | + | ln | lingala | + | ha | hausa | + | ba | bashkir | + | jw | javanese | + | su | sundanese | + version: '0.1.0' + x-subscribelink: whisper_asr + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 2GB/File. + x-inputfilelimit: |+ + Process up to 2 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 2 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Nov 30, 2022" +paths: + /async/microservices/voice/whisper/v0/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-whisper/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T044135Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 + x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f + x-goog-signature: >- + 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 + jid: e4ff367c93664fb9acfa40d9a4c6e43f + request_cost: 0.3323 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v0.1.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/voice/whisper/v0/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v0.1.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Nov 29, 2022' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.3323 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2022-11-29 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Nov 30, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: '4 test.wav' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 4746636 + description: |+ + Size of the file. Maximum size should be 1 GB. + content_type: + x-name: content_type + type: string + default: true + example: 'audio/wav' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", + "audio/webm","audio/3gpp","audio/3gpp2","audio/x-wav"] + additional_param: + x-name: additional_param + type: object + default: true + properties: + language: + x-name: language_code + type: string + default: true + example: en-US + description: |+ + Specify the language code that needs to be converted. + uploadinput: + type: object + required: + - filePath + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: audio/wav + description: Fields + key: + type: string + default: false + example: 309/495/lp-vadasr/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 309 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 495 + description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From b55afa339309ec9782d09c1aed852ff0912e7901 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 29 Nov 2022 14:23:22 +0530 Subject: [PATCH 5542/5916] Update index.yaml --- index.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 454071a7d..e4a5d8f57 100644 --- a/index.yaml +++ b/index.yaml @@ -79,7 +79,11 @@ voice: title: Google ASR (Large File) versions: 1.0.0: 'google_asr_large_file.yaml' - 0.1.0: 'google_asr_large_file_v0.yaml' + 0.1.0: 'google_asr_large_file_v0.yaml' + whisper_asr_largefile: + title: Whisper ASR (Large File) + versions: + 0.1.0: 'whisper_asr_largefile.yaml' speaker_diarization: title: Speaker Diarization versions: From a918582704c7ddf91aeec90458a6ca404e7eddee Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 29 Nov 2022 14:24:33 +0530 Subject: [PATCH 5543/5916] Update index.yaml --- index.yaml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/index.yaml b/index.yaml index e4a5d8f57..6053ccdf7 100644 --- a/index.yaml +++ b/index.yaml @@ -80,10 +80,6 @@ voice: versions: 1.0.0: 'google_asr_large_file.yaml' 0.1.0: 'google_asr_large_file_v0.yaml' - whisper_asr_largefile: - title: Whisper ASR (Large File) - versions: - 0.1.0: 'whisper_asr_largefile.yaml' speaker_diarization: title: Speaker Diarization versions: From a0208a7c265a2ca6961e35b3fc84b45c400d871e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 29 Nov 2022 14:49:16 +0530 Subject: [PATCH 5544/5916] Update whisper_asr_largefile.yaml --- voice/whisper_asr_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_largefile.yaml index d676a180d..69ebfec01 100644 --- a/voice/whisper_asr_largefile.yaml +++ b/voice/whisper_asr_largefile.yaml @@ -558,7 +558,7 @@ components: x-name: language_code type: string default: true - example: en-US + example: en description: |+ Specify the language code that needs to be converted. uploadinput: From 0de07a368e585293650083e4cab654b61b5ba7d1 Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Tue, 29 Nov 2022 16:49:03 +0530 Subject: [PATCH 5545/5916] updated v3 yaml for NER eng --- nlp/named-entity_recognition_eng.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/named-entity_recognition_eng.yaml b/nlp/named-entity_recognition_eng.yaml index 91c20db47..190f71acb 100644 --- a/nlp/named-entity_recognition_eng.yaml +++ b/nlp/named-entity_recognition_eng.yaml @@ -28,10 +28,10 @@ info: x-apidetailsdesc: |+ Locates and Classifies named-entities classes from unstructured English text. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v3.0.0" - description: "Published Date - Nov 07, 2022" + description: "Published Date - Nov 25, 2022" paths: /microservices/nlp/namedentityrecognition/v3/getpredictions: post: @@ -304,7 +304,7 @@ components: items: oneOf: - type: string - example: Published Date - Nov 07, 2022 + example: Published Date - Nov 25, 2022 x-details: New model description: Latest Version v2.0.0: From 7a2542220017acffa528ef89c0c8d86f8644fb59 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 30 Nov 2022 09:06:32 +0530 Subject: [PATCH 5546/5916] Update whisper_asr_largefile.yaml --- voice/whisper_asr_largefile.yaml | 84 ++++++++++++++++++++++++++------ 1 file changed, 68 insertions(+), 16 deletions(-) diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_largefile.yaml index 69ebfec01..344a3bc79 100644 --- a/voice/whisper_asr_largefile.yaml +++ b/voice/whisper_asr_largefile.yaml @@ -108,8 +108,8 @@ info: | ba | bashkir | | jw | javanese | | su | sundanese | - version: '0.1.0' - x-subscribelink: whisper_asr + version: '1.0.0' + x-subscribelink: google_asr x-apitype: large file x-apitypedescription: |+ Asyncronous | Batch | 2GB/File. @@ -127,14 +127,14 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Nov 30, 2022" + description: "Published Date - Aug 30, 2022" paths: /async/microservices/voice/whisper/v0/getuploadurl: description: |+ Get the pre-signed url to upload the file. post: tags: - - v0.1.0 + - v1.0.0 responses: '200': description: Ok @@ -148,7 +148,7 @@ paths: fields: content-type: audio/wav key: >- - 309/495/lp-whisper/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav + 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav policy: >- 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 x-goog-algorithm: GOOG4-RSA-SHA256 @@ -252,7 +252,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/voice/whisper/v0/getstatus: + /async/microservices/voice/googleasr/v1/getstatus: description: |+ Query for processing status. get: @@ -272,7 +272,7 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: 'Nov 29, 2022' + last_updated: 'Dec 20, 2021' message: Successfully Processed output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.3323 @@ -341,7 +341,7 @@ components: properties: last_updated: type: string - example: 2022-11-29 12:50:30 + example: 2021-07-06 12:50:30 description: Last updated message: type: string @@ -517,9 +517,9 @@ components: items: oneOf: - type: string - example: Published Date - Nov 30, 2022 + example: Published Date - Mar 11, 2022 x-details: Initial version release - description: Latest Version + description: Old Version input: type: object required: @@ -553,14 +553,66 @@ components: x-name: additional_param type: object default: true - properties: - language: + properties: + sampling_rate: + x-name: sampling_rate + type: string + default: true + example: default + description: |+ + Specify required sampling rate. + "default" - Microservice will process the input file in its native sampling rate. + When the value is set to a numeric digit, then the input file will be converted to whatever is the number stated (e.g. "16000") + language_code: x-name: language_code type: string default: true - example: en + example: en-US + description: |+ + Specify the language code of the input audio. + word_level: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable word time offsets during post-processing. Valid values - True and False. Default value - False. + automatic_punctuation: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable automatic punctuation during post-processing. Valid values - True and False. Default value - False. + profanity_filter: + type: boolean + default: false + example: false + description: |+ + Specifies whether to add profanity filter during post-processing. Valid Values - True and False. Default value - False. + spoken_punctuation: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + spoken_emojis: + type: boolean + default: false + example: false + description: |+ + Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. + model: + type: string + default: default + example: default description: |+ - Specify the language code that needs to be converted. + Speech-to-Text detects words in an audio clip by comparing input to one of many machine learning models. Each model has been trained by analyzing millions of examples—in this case, many, many audio recordings of people speaking. + 1. latest_long - Use this model for any kind of long form content such as media or spontaneous speech and conversations. Consider using this model in place of the video model, especially if the video model is not available in your target language. You can also use this in place of the default model. + 2. latest_short - Use this model for short utterances that are a few seconds in length. It is useful for trying to capture commands or other single shot directed speech use cases. Consider using this model instead of the command and search model. + 3. command_and_search - Best for short or single-word utterances like voice commands or voice search. + 4. phone_call - Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate). + 5. medical_dictation - Use this model to transcribe notes dictated by a medical professional. + 6. medical_conversation - Use this model to transcribe a conversation between a medical professional and a patient. + 7. default - Best for audio that does not fit the other audio models, like long-form audio or dictation. The default model will produce transcription results for any type of audio, including audio such as video clips that have a separate model specifically tailored to it. However, recognizing video clip audio using the default model will likely yield lower-quality results than using the video model. Ideally the audio is high-fidelity, recorded at a 16khz or greater sampling rate. uploadinput: type: object required: @@ -580,7 +632,7 @@ components: key: type: string default: false - example: 309/495/lp-vadasr/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav + example: 309/495/lp-whisper/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav description: Fields policy: type: string @@ -605,7 +657,7 @@ components: x-goog-meta-additional_param: type: string default: false - example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" + example: "{\"language\": \"en\"}" description: Fields x-goog-meta-oid: type: string From c1d40df6da877e0522f468489c97f257a8ba1130 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 30 Nov 2022 09:26:17 +0530 Subject: [PATCH 5547/5916] Update whisper_asr_largefile.yaml --- voice/whisper_asr_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_largefile.yaml index 344a3bc79..127e99519 100644 --- a/voice/whisper_asr_largefile.yaml +++ b/voice/whisper_asr_largefile.yaml @@ -124,7 +124,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Aug 30, 2022" From 0e7cdc1d1033e5b733ad8e2be2f48b00ed171e94 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 30 Nov 2022 09:31:20 +0530 Subject: [PATCH 5548/5916] Update whisper_asr_largefile.yaml --- voice/whisper_asr_largefile.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_largefile.yaml index 127e99519..8c2721a3b 100644 --- a/voice/whisper_asr_largefile.yaml +++ b/voice/whisper_asr_largefile.yaml @@ -525,8 +525,8 @@ components: required: - file_name properties: - file_name: - x-name: file_name + file: +# x-name: file_name type: string default: true format: binary From 79769f919f2f224117d0e8ba5b7a4a85c0a95aeb Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 30 Nov 2022 09:36:01 +0530 Subject: [PATCH 5549/5916] Update whisper_asr_largefile.yaml --- voice/whisper_asr_largefile.yaml | 80 ++++++-------------------------- 1 file changed, 14 insertions(+), 66 deletions(-) diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_largefile.yaml index 8c2721a3b..fe52970e4 100644 --- a/voice/whisper_asr_largefile.yaml +++ b/voice/whisper_asr_largefile.yaml @@ -108,8 +108,8 @@ info: | ba | bashkir | | jw | javanese | | su | sundanese | - version: '1.0.0' - x-subscribelink: google_asr + version: '0.1.0' + x-subscribelink: whisper_asr x-apitype: large file x-apitypedescription: |+ Asyncronous | Batch | 2GB/File. @@ -124,17 +124,17 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Aug 30, 2022" + description: "Published Date - Nov 30, 2022" paths: /async/microservices/voice/whisper/v0/getuploadurl: description: |+ Get the pre-signed url to upload the file. post: tags: - - v1.0.0 + - v0.1.0 responses: '200': description: Ok @@ -148,7 +148,7 @@ paths: fields: content-type: audio/wav key: >- - 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav + 309/495/lp-whisper/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav policy: >- 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 x-goog-algorithm: GOOG4-RSA-SHA256 @@ -252,7 +252,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/voice/googleasr/v1/getstatus: + /async/microservices/voice/whisper/v0/getstatus: description: |+ Query for processing status. get: @@ -274,7 +274,7 @@ paths: example: last_updated: 'Dec 20, 2021' message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-whisper/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.3323 status: Success @@ -517,9 +517,9 @@ components: items: oneOf: - type: string - example: Published Date - Mar 11, 2022 + example: Published Date - Nov 30, 2022 x-details: Initial version release - description: Old Version + description: Latest Version input: type: object required: @@ -554,65 +554,13 @@ components: type: object default: true properties: - sampling_rate: - x-name: sampling_rate - type: string - default: true - example: default - description: |+ - Specify required sampling rate. - "default" - Microservice will process the input file in its native sampling rate. - When the value is set to a numeric digit, then the input file will be converted to whatever is the number stated (e.g. "16000") - language_code: - x-name: language_code + language: + x-name: language type: string default: true - example: en-US - description: |+ - Specify the language code of the input audio. - word_level: - type: boolean - default: false - example: false - description: |+ - Specifies whether to enable word time offsets during post-processing. Valid values - True and False. Default value - False. - automatic_punctuation: - type: boolean - default: false - example: false - description: |+ - Specifies whether to enable automatic punctuation during post-processing. Valid values - True and False. Default value - False. - profanity_filter: - type: boolean - default: false - example: false - description: |+ - Specifies whether to add profanity filter during post-processing. Valid Values - True and False. Default value - False. - spoken_punctuation: - type: boolean - default: false - example: false - description: |+ - Specifies whether to enable spoken punctuation during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. - spoken_emojis: - type: boolean - default: false - example: false - description: |+ - Specifies whether to enable spoken emojis during post-processing, which is valid only for english language. Valid values - True and False. Default value - False. - model: - type: string - default: default - example: default + example: en description: |+ - Speech-to-Text detects words in an audio clip by comparing input to one of many machine learning models. Each model has been trained by analyzing millions of examples—in this case, many, many audio recordings of people speaking. - 1. latest_long - Use this model for any kind of long form content such as media or spontaneous speech and conversations. Consider using this model in place of the video model, especially if the video model is not available in your target language. You can also use this in place of the default model. - 2. latest_short - Use this model for short utterances that are a few seconds in length. It is useful for trying to capture commands or other single shot directed speech use cases. Consider using this model instead of the command and search model. - 3. command_and_search - Best for short or single-word utterances like voice commands or voice search. - 4. phone_call - Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate). - 5. medical_dictation - Use this model to transcribe notes dictated by a medical professional. - 6. medical_conversation - Use this model to transcribe a conversation between a medical professional and a patient. - 7. default - Best for audio that does not fit the other audio models, like long-form audio or dictation. The default model will produce transcription results for any type of audio, including audio such as video clips that have a separate model specifically tailored to it. However, recognizing video clip audio using the default model will likely yield lower-quality results than using the video model. Ideally the audio is high-fidelity, recorded at a 16khz or greater sampling rate. + Specify the language code that needs to be converted. uploadinput: type: object required: From e2317a063ca2d1349adb0c289ec582104abac31d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 30 Nov 2022 09:41:27 +0530 Subject: [PATCH 5550/5916] Update whisper_asr_largefile.yaml --- voice/whisper_asr_largefile.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_largefile.yaml index fe52970e4..a13dfbaf5 100644 --- a/voice/whisper_asr_largefile.yaml +++ b/voice/whisper_asr_largefile.yaml @@ -526,7 +526,7 @@ components: - file_name properties: file: -# x-name: file_name + x-name: file type: string default: true format: binary From 048cdc2c54d264b9d58e231f1c3c64db8abcf678 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 30 Nov 2022 09:45:07 +0530 Subject: [PATCH 5551/5916] Update whisper_asr_largefile.yaml --- voice/whisper_asr_largefile.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_largefile.yaml index a13dfbaf5..b63449685 100644 --- a/voice/whisper_asr_largefile.yaml +++ b/voice/whisper_asr_largefile.yaml @@ -525,8 +525,8 @@ components: required: - file_name properties: - file: - x-name: file + file_name: + x-name: file_name type: string default: true format: binary From 02e97b794d02140a4bb26c0b1fa26670bb8685b4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 09:18:30 +0530 Subject: [PATCH 5552/5916] Update whisper_asr_largefile.yaml --- voice/whisper_asr_largefile.yaml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_largefile.yaml index b63449685..425459fbf 100644 --- a/voice/whisper_asr_largefile.yaml +++ b/voice/whisper_asr_largefile.yaml @@ -2,7 +2,11 @@ openapi: 3.0.1 info: title: Whisper ASR (Large File) description: |+ - It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language. + This Voice microservice based on the Whisper ASR model, takes in an audio file and transcribes English speech content within the input file into text. + + This microservice can be effective for audio files with various mixed accents, as well as audio files that are noisy. + + Do ensure that your audio file length is less than 2GB. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

* **Supported Languages:** From bf44189a042ad4a47f0943900a88b51ed9ba8bfa Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 10:08:44 +0530 Subject: [PATCH 5553/5916] Update and rename whisper_asr_largefile.yaml to whisper_asr_large_file.yaml --- ...whisper_asr_largefile.yaml => whisper_asr_large_file.yaml} | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) rename voice/{whisper_asr_largefile.yaml => whisper_asr_large_file.yaml} (99%) diff --git a/voice/whisper_asr_largefile.yaml b/voice/whisper_asr_large_file.yaml similarity index 99% rename from voice/whisper_asr_largefile.yaml rename to voice/whisper_asr_large_file.yaml index 425459fbf..38b5f2c9b 100644 --- a/voice/whisper_asr_largefile.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -133,7 +133,7 @@ tags: - name: "v0.1.0" description: "Published Date - Nov 30, 2022" paths: - /async/microservices/voice/whisper/v0/getuploadurl: + /async/microservices/voice/whisperasrlp/v0/getuploadurl: description: |+ Get the pre-signed url to upload the file. post: @@ -256,7 +256,7 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/voice/whisper/v0/getstatus: + /async/microservices/voice/whisperasrlp/v0/getstatus: description: |+ Query for processing status. get: From 5d787051fbfc7298379e7ef68e92a521ff414117 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 10:16:30 +0530 Subject: [PATCH 5554/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 38b5f2c9b..778ae8541 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -6,7 +6,7 @@ info: This microservice can be effective for audio files with various mixed accents, as well as audio files that are noisy. - Do ensure that your audio file length is less than 2GB. + Do ensure that your audio file length is less than 1GB. x-additionalinfo: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

* **Supported Languages:** @@ -116,15 +116,15 @@ info: x-subscribelink: whisper_asr x-apitype: large file x-apitypedescription: |+ - Asyncronous | Batch | 2GB/File. + Asyncronous | Batch | 1GB/File. x-inputfilelimit: |+ - Process up to 2 GB of File Size. + Process up to 1 GB of File Size. x-responsetime: |+ The response rate is slower than the small file API due to large data. x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ - Size cannot exceed 2 GB. + Size cannot exceed 1 GB. x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: From 6c2cdbffbe5065a5131b9cdee50e91043cffb24e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 10:18:00 +0530 Subject: [PATCH 5555/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 0b10a578e..8801b88af 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -3,8 +3,12 @@ openapi: 3.0.1 info: title: Whisper ASR description: |+ - It enables transcription in multiple languages, as well as translation from those languages into English.The model can automatically predict the input language though it can make mistakes sometime; otherwise the user can also specify the input language - The length of your audio **should not exceed 60 seconds**. + This Voice microservice based on the Whisper ASR model, takes in an audio file and transcribes English speech content within the input file into text. + + This microservice can be effective for audio files with various mixed accents, as well as audio files that are noisy. + + Do ensure that your audio file length is less than **3 mins and 10 MB**. + x-additionalinfo: |+ **Supported Languages:** From d79b6207f953aab4c0b41a53b4fb31f4dd3cb75d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 10:29:56 +0530 Subject: [PATCH 5556/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 778ae8541..76ab355d0 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -113,7 +113,7 @@ info: | jw | javanese | | su | sundanese | version: '0.1.0' - x-subscribelink: whisper_asr + x-subscribelink: whisper_asr_large_file x-apitype: large file x-apitypedescription: |+ Asyncronous | Batch | 1GB/File. From ec306c3bcc1376df4ad4ee041d772e2a04eaafcf Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 10:39:11 +0530 Subject: [PATCH 5557/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 8801b88af..6ba9c5fc1 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -118,15 +118,15 @@ info: x-subscribelink: speech_enhancement x-apitype: small file x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call + Fast | Single-Call | 3 mins and 10 MB/Call x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. + Process up to 3 mins and 10 MB of audio file. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). + Limit cannot exceed 3 mins and 10 MB. x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: From 8a0b3f843be3c3c367cfa737a2b2bb75cbd90aa6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 14:57:28 +0530 Subject: [PATCH 5558/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index a687dddc1..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: Test - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 4b7d4f14de0f3eaba2e9036a0f04455b633de813 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Tue, 6 Dec 2022 09:29:13 +0000 Subject: [PATCH 5559/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..a687dddc1 --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: Test + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 7577605e3f383de23ca5b5839634eaf2e2e2ab16 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 16:13:53 +0530 Subject: [PATCH 5560/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 6ba9c5fc1..8d16e1848 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -7,7 +7,7 @@ info: This microservice can be effective for audio files with various mixed accents, as well as audio files that are noisy. - Do ensure that your audio file length is less than **3 mins and 10 MB**. + Do ensure that your audio file length is less than **30secs**. x-additionalinfo: |+ **Supported Languages:** @@ -118,15 +118,15 @@ info: x-subscribelink: speech_enhancement x-apitype: small file x-apitypedescription: |+ - Fast | Single-Call | 3 mins and 10 MB/Call + Fast | Single-Call | 30secs/Call x-inputfilelimit: |+ - Process up to 3 mins and 10 MB of audio file. + Process up to 30secs of audio file. x-responsetime: |+ Response rate is fast due to small data transfer per call made. x-billingmethod: |+ The API is billed by per request. x-notes: |+ - Limit cannot exceed 3 mins and 10 MB. + Limit cannot exceed 30secs. x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: From affd3f9512afcfdb261d908ee47ab9aac0e7fc58 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 16:31:27 +0530 Subject: [PATCH 5561/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index a687dddc1..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: Test - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From c394180333bdbe6b8a73efcf1c1872fe0e568390 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Tue, 6 Dec 2022 11:05:20 +0000 Subject: [PATCH 5562/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..a687dddc1 --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: Test + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 9bf38ab9a5da8709d11cda62a74cb60b62e6d80d Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Tue, 6 Dec 2022 11:24:38 +0000 Subject: [PATCH 5563/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- voice/ts_aiorg_automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml index a687dddc1..d52372a50 100644 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -1,7 +1,7 @@ openapi: 3.0.1 info: - title: Test + title: TS Aiorg Automatic Speech Recognition ENG description: |+ Enhance speech signal by removing background noise.
Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
From d2df5f7be204d0363a2bc1bbd7c769f0675e1cd4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 6 Dec 2022 16:59:43 +0530 Subject: [PATCH 5564/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 8d16e1848..09cb4b8ae 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -333,7 +333,7 @@ components: items: oneOf: - type: string - example: 'Published Date - Sep 20,2022' + example: 'Published Date - Oct 20,2022' x-details: Initial version release description: Latest Version input: From a0c31a20941b7cef975e1964203ac7a121189034 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 7 Dec 2022 09:12:20 +0530 Subject: [PATCH 5565/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 839c2020c54e6761e4e68e0d99bbfe921e8358d4 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Wed, 7 Dec 2022 04:13:51 +0000 Subject: [PATCH 5566/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From bffbcf4cee2652a3deab5af41f1483a39549a19c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 7 Dec 2022 10:10:25 +0530 Subject: [PATCH 5567/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 5f9ea73d46f7d68bd1a275b506d136c83341ea02 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Wed, 7 Dec 2022 04:40:37 +0000 Subject: [PATCH 5568/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 9a3b506a093913782e570cf97f70fa9fc169a1a7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 7 Dec 2022 10:21:28 +0530 Subject: [PATCH 5569/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 01b633cdc7e9face0dba876242bc19872415852b Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Wed, 7 Dec 2022 04:59:19 +0000 Subject: [PATCH 5570/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From d0afad96c9befc8c1c14bd1fad1b0e6db15390e6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 7 Dec 2022 10:34:11 +0530 Subject: [PATCH 5571/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From e5169578afd5f23a41f12279d8eaab186a613523 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Wed, 7 Dec 2022 05:25:05 +0000 Subject: [PATCH 5572/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From e9dad08bc7fe15bee429792462263e13fa8ec807 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 7 Dec 2022 11:01:39 +0530 Subject: [PATCH 5573/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 474d002f4ce42ea3794da503fc9c06f1e1520f8d Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Wed, 7 Dec 2022 05:50:28 +0000 Subject: [PATCH 5574/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 2bf3296e60ef2c2a18a2b3c239c275a9ad042e36 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 7 Dec 2022 11:51:44 +0530 Subject: [PATCH 5575/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 09ab495c4164d4e9f6cd5df4976d21b72f1ea4e0 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Wed, 7 Dec 2022 06:42:30 +0000 Subject: [PATCH 5576/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From eb51a24ccca26d69d3947820e01df4f5ab6c5ac7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 7 Dec 2022 12:20:45 +0530 Subject: [PATCH 5577/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From f21f0cabffb5a7c08d008c1b977751e41ba47e84 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Wed, 7 Dec 2022 09:32:18 +0000 Subject: [PATCH 5578/5916] commit from onboarding ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From eec6a64892153c3ab07aa95e113c6d7547c57344 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 8 Dec 2022 10:08:31 +0530 Subject: [PATCH 5579/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index 2efa78189..bf22fe8d1 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -27,7 +27,7 @@ info: x-apidetailsdesc: |+ Extracts text content from pdf docs. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Nov 14, 2022" From dadc4801049035ebd794f0f451bba4be015f40d7 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 8 Dec 2022 10:19:58 +0530 Subject: [PATCH 5580/5916] Create asr_training_pipeline.yaml --- voice/asr_training_pipeline.yaml | 561 +++++++++++++++++++++++++++++++ 1 file changed, 561 insertions(+) create mode 100644 voice/asr_training_pipeline.yaml diff --git a/voice/asr_training_pipeline.yaml b/voice/asr_training_pipeline.yaml new file mode 100644 index 000000000..3b72bb1a0 --- /dev/null +++ b/voice/asr_training_pipeline.yaml @@ -0,0 +1,561 @@ +openapi: 3.0.1 +info: + title: ASR Training Pipeline Beta + description: |+ + Testing. + x-additionalinfo: |+ + Test + + version: '2.0.0' + x-subscribelink: asr_training_pipeline + x-apitype: large file + x-apitypedescription: |+ + Asyncronous | Batch | 2GB/File. + x-inputfilelimit: |+ + Process up to 2 GB of File Size. + x-responsetime: |+ + The response rate is slower than the small file API due to large data. + x-billingmethod: |+ + The API is billed by the amount of data transferred. + x-notes: |+ + Size cannot exceed 2 GB. + x-apidetailsdesc: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v2.0.0" + description: "Published Date - Dec 30, 2022" +paths: + /async/microservices/trainingpipeline/asrtraining/v2/getuploadurl: + description: |+ + Get the pre-signed url to upload the file. + post: + tags: + - v2.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + fields: + content-type: audio/wav + key: >- + 309/495/lp-asr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T044135Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 + x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f + x-goog-signature: >- + 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 + jid: e4ff367c93664fb9acfa40d9a4c6e43f + request_cost: 0.3323 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true + /upload: + description: |+ + Upload your file to start processing. + post: + servers: + - url: 'https://storage.googleapis.com/user_space_dev/' + description: Override base path for the GET /ping operation + tags: + - v2.0.0 + requestBody: + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/uploadinput' + required: true + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + /async/microservices/trainingpipeline/asrtraining/v2/getstatus: + description: |+ + Query for processing status. + get: + tags: + - v2.0.0 + parameters: + - in: query + name: jid + schema: + type: string + example: 36d075917dcd481e9daf858a2549f3b1 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/getsuccess' + example: + last_updated: 'Dec 20, 2021' + message: Successfully Processed + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.3323 + status: Success + + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] +components: + schemas: + getsuccess: + type: object + properties: + last_updated: + type: string + example: 2021-07-06 12:50:30 + description: Last updated + message: + type: string + example: File Processing Successfully Started + description: Detail description on the API status + request_cost: + type: string + example: 0.086 + description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + fields: + type: object + example: { "" } + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v2.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 30, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - file_name + properties: + file_name: + x-name: file_name + type: string + default: true + format: binary + example: 'onboard_asr_input.zip' + description: |+ + Name of file to be upload. + file_size: + x-name: file_size + type: integer + default: true + example: 46698496 + description: |+ + Size of the file. Maximum size should be 1 GB. + training_type: + x-name: training_type + type: string + default: true + example: 'new' + description: |+ + specify the training type. There are two types: new and upgrade. + model_name: + x-name: model_name + type: string + default: true + example: 'newsparliament1' + description: |+ + Specify the model name. + deployment_type: + x-name: deployment_type + type: string + default: true + example: 'deploy' + description: |+ + Specify the deployment type. There are two types: deploy and download + content_type: + x-name: content_type + type: string + default: true + example: 'audio/zip' + description: |+ + Specify the content-type. Pick any one from below list based on input file type. + ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", + "audio/webm","audio/3gpp","audio/3gpp2","audio/x-wav"] + model_type: + x-name: model_type + type: string + default: true + example: 'offline' + description: |+ + Specify the model type. + base_model: + x-name: base_model + type: string + example: 'news_parliament' + description: |+ + Specify the base model + uploadinput: + type: object + required: + - filePath + properties: + file: + type: string + format: binary + default: true + example: sample.wav + description: file + content-type: + type: string + default: false + example: audio/wav + description: Fields + key: + type: string + default: false + example: 309/495/lp-asr/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav + description: Fields + policy: + type: string + default: false + example: 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 + description: Fields + x-goog-algorithm: + type: string + default: false + example: GOOG4-RSA-SHA256 + description: Fields + x-goog-credential: + type: string + default: false + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + description: Fields + x-goog-date: + type: string + default: false + example: 20220224T045625Z + description: Fields + x-goog-meta-additional_param: + type: string + default: false + example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" + description: Fields + x-goog-meta-oid: + type: string + default: false + example: 309 + description: Fields + x-goog-meta-uid: + type: string + default: false + example: 495 + description: Fields + x-goog-meta-uploader: + type: string + default: false + example: 01832842d1774e4fb711d31b30fa9431 + description: Fields + x-goog-meta-uuid: + type: string + default: false + example: cf3d329bd9df4cef91966c336386eea3 + description: Fields + x-goog-signature: + type: string + default: false + example: 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 + description: Fields + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 1615c88bc3e2b3be8f14100965f677656766f9a4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 8 Dec 2022 10:29:25 +0530 Subject: [PATCH 5581/5916] Delete ts_aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml b/voice/ts_aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/ts_aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From a253b2292b04ae9e3e91bf7425e5181173ed0e43 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 8 Dec 2022 05:49:21 +0000 Subject: [PATCH 5582/5916] commit from onboarding ts_tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/ts_tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_tsaiorg_automatic_speech_recognition_eng.yaml b/voice/ts_tsaiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/ts_tsaiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From b3d5835653face7ecc73cdf6cd11335ca2aaf35f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 8 Dec 2022 13:52:28 +0530 Subject: [PATCH 5583/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index f57502026..0b0891edf 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Aug 30, 2022" @@ -274,7 +274,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v1.0.0 From d52ecab60cb0785f71f1e8ce6427872f48d6b965 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 8 Dec 2022 16:23:32 +0530 Subject: [PATCH 5584/5916] Delete ts_tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/ts_tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/ts_tsaiorg_automatic_speech_recognition_eng.yaml b/voice/ts_tsaiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/ts_tsaiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 8a68ac6273a6442645e8fce6c9e1e1e268adcb28 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 8 Dec 2022 11:31:04 +0000 Subject: [PATCH 5585/5916] commit from onboarding aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/aiorg_automatic_speech_recognition_eng.yaml b/voice/aiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/aiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 0eb2482127f532aeebe1c62cd2521de5b4375d8b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 8 Dec 2022 17:27:11 +0530 Subject: [PATCH 5586/5916] Delete aiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/aiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/aiorg_automatic_speech_recognition_eng.yaml b/voice/aiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/aiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From ebd704ee707bc2360c39c0ed9307d936dd6dfd5c Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 8 Dec 2022 12:35:43 +0000 Subject: [PATCH 5587/5916] commit from onboarding tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/tsaiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From c0921c87587c268d2fb132fb4f97c5f9a4fa1be0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 9 Dec 2022 12:26:47 +0530 Subject: [PATCH 5588/5916] Delete tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/tsaiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From f8bdf3e467d3939267eaa16b7f872a67d9553545 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Wed, 14 Dec 2022 04:31:04 +0000 Subject: [PATCH 5589/5916] commit from onboarding tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/tsaiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From fb83ba9b08726f2892c20b712d2995f5936d42a6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 14 Dec 2022 10:10:33 +0530 Subject: [PATCH 5590/5916] Delete tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/tsaiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From df42a8f3a521fe48eba1dc2385d882ff04fa0a7c Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Wed, 14 Dec 2022 13:13:01 +0000 Subject: [PATCH 5591/5916] commit from onboarding tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/tsaiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 95f6a2139d407853848882c06d9a788030d143f2 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 15 Dec 2022 18:33:10 +0530 Subject: [PATCH 5592/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 0b0891edf..1add106c1 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Aug 30, 2022" From efde0ed106e6539fe0d9fb553be20afcc82fd951 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 15 Dec 2022 18:39:26 +0530 Subject: [PATCH 5593/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 1add106c1..f57502026 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -274,7 +274,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v1.0.0 From f77378c277cfeeed0a04bd857b3c87cf041a0bcd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 15 Dec 2022 18:40:06 +0530 Subject: [PATCH 5594/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index ba85ad411..312f0d741 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Oct 13, 2022" @@ -130,7 +130,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v0.1.0 From 165b8618faa9a69089801ca1c9a0f0022d106640 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 16 Dec 2022 10:08:56 +0530 Subject: [PATCH 5595/5916] Delete tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/tsaiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 7b4cee777e2d0890bfbe2322628d2d75a42b9911 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Fri, 16 Dec 2022 04:43:54 +0000 Subject: [PATCH 5596/5916] commit from onboarding tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/tsaiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 7d148eb23cc3feb18ee2d33a86e203d8dd4a3986 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 19 Dec 2022 09:33:15 +0530 Subject: [PATCH 5597/5916] Create acra_dataset.yaml --- data/acra_dataset.yaml | 817 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 817 insertions(+) create mode 100644 data/acra_dataset.yaml diff --git a/data/acra_dataset.yaml b/data/acra_dataset.yaml new file mode 100644 index 000000000..7a6e7004c --- /dev/null +++ b/data/acra_dataset.yaml @@ -0,0 +1,817 @@ +openapi: 3.0.1 +info: + title: ACRA Information On Corporate Entities + x-subscribelink: acra + description: |+ + This is a more detailed version of the UEN dataset here (https://data.gov.sg/dataset/entities-with-unique-entity-number). It is updated monthly, and there is additional information such as paid up capital and auditor. + This microservice contains information from ACRA dataset which is made available under the terms of the + [Singapore Open Data Licence version 1.0](https://data.gov.sg/open-data-licence). + x-additionalinfo : |+ + **Match Types:** + A match type is a match operator. The supported match types are: + * **match_phrase** - Search within a full text field + > {"match_phrase":{"entity_name":"PECHE HAIR SALON"}} + > {"match_phrase":{"business_constitution_description":"Partnership"}} + > {"match_phrase":{"primary_ssic_description":"SOCIAL SERVICES WITHOUT ACCOMMODATION FOR CHILDREN, YOUTH AND FAMILIES N.E.C."}} + * **match** - Search within a full text field for a single word + > {"match":{"postal_code": 058416}} + > {"match":{"street_name":"UPPER CIRCULAR ROAD"}} + * **range** - Returns results that contain terms within a stipulated range + > {"range": {"uen_issue_date": {"gte": "2008-09-12", "lte": "2017-03-15"}}} + * **exists** - Returns results that contain any indexed value for a field + > {"exists":{"field":"enity_name"}} + > {"exists":{"field":"name_of_audit_firm3"}} + + **Aggregations Request Data:** + > An aggregation helps in summarizing your data + > Set aggregation - true + > {"range": {"uen_issue_date": {"gte": "2008-09-12", "lte": "2017-03-15"}}} + + version: '0.1.0' + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10000 kb of data or chat per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Process up to 10,000 records. + x-apidetailsdesc: |+ + Provides detailed route information for all services currently in operation. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Dec 30, 2022" +paths: + /microservices/data/acra/v0/getdata: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + results: + search_result: + hits: + - _index: acra_dataset + _type: _doc + _id: GVOROIIBeBL0zTSFHCDB + _score: 1 + _ignored: ["annual_return_date", "account_due_date"] + _source: + business_constitution_description: "Partnership" + primary_ssic_description: "SOCIAL SERVICES WITHOUT ACCOMMODATION FOR CHILDREN, YOUTH AND FAMILIES N.E.C." + primary_user_described_activity: "na" + street_name: "UPPER CIRCULAR ROAD" + entity_status_description: "na" + annual_return_date: "na" + postal_code: "058416" + paid_up_capital10_preference: "na" + entity_name: "PECHE HAIR SALON" + paid_up_capital2_others: "na" + lastupdated: "2022-11-23T04:45:26.389Z" + source: "ACRA" + name_of_audit_firm3: "na" + address_type: "LOCAL" + paid_up_capital9_currency: "na" + paid_up_capital8_ordinary: "na" + paid_up_capital6_others: "na" + paid_up_capital6_ordinary: "na" + level_no: "03" + paid_up_capital9_others: "na" + former_entity_name9: "na" + paid_up_capital7_currency: "na" + paid_up_capital6_preference: "na" + paid_up_capital4_currency: "na" + secondary_ssic_code: "96021" + paid_up_capital7_preference: "na" + paid_up_capital1_preference: "na" + paid_up_capital2_preference: "na" + uen: "37550700X" + uen_issue_date: "2008-09-10T00:00:00" + no_of_officers: 4 + former_entity_name3: "na" + building_name: "RIVERWALK GALLERIA" + no_of_charges: 0 + paid_up_capital8_currency: "na" + paid_up_capital2_ordinary: "na" + paid_up_capital3_others: "na" + paid_up_capital4_others: "na" + secondary_ssic_description: "HAIRDRESSING SALONS/SHOPS (INCLUDING BARBER SHOPS)" + paid_up_capital10_currency: "na" + paid_up_capital8_others: "na" + paid_up_capital1_others: "na" + paid_up_capital3_currency: "na" + block: "20" + other_address_line2: "na" + other_address_line1: "na" + account_due_date: "na" + paid_up_capital7_ordinary: "na" + former_entity_name8: "na" + paid_up_capital5_preference: "na" + former_entity_name2: "na" + paid_up_capital3_preference: "na" + former_entity_name1: "na" + former_entity_name6: "na" + former_entity_name7: "na" + former_entity_name4: "na" + former_entity_name5: "na" + paid_up_capital4_ordinary: "na" + secondary_user_described_activity: "na" + issuance_agency_id: "ACRA" + former_entity_name14: "na" + former_entity_name15: "na" + former_entity_name10: "na" + registration_incorporation_date: "1987-04-28T00:00:00" + former_entity_name12: "na" + former_entity_name13: "na" + paid_up_capital2_currency: "na" + paid_up_capital1_currency: "na" + paid_up_capital8_preference: "na" + primary_ssic_code: 88919 + name_of_audit_firm5: "na" + name_of_audit_firm4: "na" + name_of_audit_firm1: "na" + paf_constitution_description: "na" + name_of_audit_firm2: "na" + paid_up_capital9_ordinary: "na" + paid_up_capital4_preference: "na" + former_entity_name11: "na" + unit_no: "09" + paid_up_capital5_others: "na" + paid_up_capital6_currency: "na" + paid_up_capital5_currency: "na" + company_type_description: "na" + uen_of_audit_firm3: "na" + uen_of_audit_firm2: "na" + uen_of_audit_firm1: "na" + paid_up_capital10_ordinary: "na" + paid_up_capital10_others: "na" + uen_of_audit_firm4: "na" + paid_up_capital7_others: "na" + uen_of_audit_firm5: "na" + entity_type_description: "Business" + paid_up_capital3_ordinary: "na" + paid_up_capital5_ordinary: "na" + paid_up_capital9_preference: "na" + paid_up_capital1_ordinary: "na" + unique_id: "9cbb07e9-6aa6-11ed-b9f6-42010a940006" + sort: [1669178726389] + max_score: 1 + total: + relation: eq + value: 1 + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + results: + type: object + example: {} + description: Json Object of returned results + properties: + total: + type: integer + example: 10 + description: Total number of records + relation: + type: string + example: eq + description: Indicates the accuracy of the total number of records (e.g. "eq" means equals) + max_score: + type: number + example: 1.0 + description: The highest score value + hits: + type: array + example: [{} + description: Json Object of returned hits + properties: + source: + type: string + description: Dataset source + example: ACRA + account_due_date: + type: string + description: Account due date. na is Data not available or not applicable. + example: '2019-10-31T00:00:00' + address_type: + type: string + description: Type of the address. na is Data not available or not applicable. + example: LOCAL + annual_return_date: + type: string + description: Annual return date. na is Data not available or not applicable. + example: '2018-07-27T16:39:53' + block: + type: string + description: Name of the block. na is Data not available or not applicable, - is Data is negligible or not significant. + example: 20 + building_name: + type: string + description: Name of the building. na is Data not available or not applicable, - is Data is negligible or not significant + example: RIVERWALK GALLERIA + business_constitution_description: + type: string + description: Type of business constitution. na is Data not available or not applicable. + example: Partnership + company_type_description: + type: string + description: Company type description. na is Data not available or not applicable. + example: EXEMPT PRIVATE COMPANY LIMITED BY SHARES + entity_name: + type: string + description: Name of the company/entity. na is Data not available or not applicable. + example: PECHE HAIR SALON. + entity_status_description: + type: string + description: Description of the entity status. na is Data not available or not applicable. + example: Live + entity_type_description: + type: string + description: Description of the entity type. na is Data not available or not applicable. + example: Business + former_entity_name1: + type: string + description: Former entity name. na is Data not available or not applicable. + example: RECOMMENDED LOCKSMITH + former_entity_name10: + type: string + description: Former entity name 10. na is Data not available or not applicable. + example: na + former_entity_name11: + type: string + description: Former entity name 11. na is Data not available or not applicable. + example: na + former_entity_name12: + type: string + description: Former entity name 12. na is Data not available or not applicable. + example: na + former_entity_name13: + type: string + description: Former entity name 13. na is Data not available or not applicable. + example: na + former_entity_name14: + type: string + description: Former entity name 14. na is Data not available or not applicable. + example: na + former_entity_name15: + type: string + description: Former entity name 15. na is Data not available or not applicable. + example: na + former_entity_name2: + type: string + description: Former entity name 2. na is Data not available or not applicable. + example: na + former_entity_name3: + type: string + description: Former entity name 3. na is Data not available or not applicable. + example: na + former_entity_name4: + type: string + description: Former entity name 4. na is Data not available or not applicable. + example: na + former_entity_name5: + type: string + description: Former entity name 5. na is Data not available or not applicable. + example: na + former_entity_name6: + type: string + description: Former entity name 6. na is Data not available or not applicable. + example: na + former_entity_name7: + type: string + description: Former entity name 7. na is Data not available or not applicable. + example: na + former_entity_name8: + type: string + description: Former entity name 8. na is Data not available or not applicable. + example: na + former_entity_name9: + type: string + description: Former entity name 9. na is Data not available or not applicable. + example: na + issuance_agency_id: + type: string + description: Insurance agency ID. na is Data not available or not applicable. + example: ACRA + level_no: + type: string + description: Level number. na is Data not available or not applicable. + example: B1 + name_of_audit_firm1: + type: string + description: Name of the audit firm1. na is Data not available or not applicable. + example: G. S. TAN & CO. + name_of_audit_firm2: + type: string + description: Name of the audit firm2. na is Data not available or not applicable. + example: na + name_of_audit_firm3: + type: string + description: Name of the audit firm3. na is Data not available or not applicable. + example: na + name_of_audit_firm4: + type: string + description: Name of the audit firm4. na is Data not available or not applicable. + example: na + name_of_audit_firm5: + type: string + description: Name of the audit firm5. na is Data not available or not applicable. + example: na + no_of_charges: + type: integer + description: Number of charges. na is Data not available or not applicable. + example: 0 + no_of_officers: + type: integer + description: Number of officers. na is Data not available or not applicable. + example: 1 + other_address_line1: + type: string + description: Other address line1. na is Data not available or not applicable. + example: na + other_address_line2: + type: string + description: other address line2. na is Data not available or not applicable. + example: na + paf_constitution_description: + type: string + description: PAF constitution description. na is Data not available or not applicable. + example: na + paid_up_capital10_currency: + type: string + description: paid up capital 10 currency. na is Data not available or not applicable. + example: na + paid_up_capital10_ordinary: + type: string + description: paid up capital 10 currency. na is Data not available or not applicable. + example: na + paid_up_capital10_others: + type: string + description: paid up capital 10 currency. na is Data not available or not applicable. + example: na + paid_up_capital10_preference: + type: string + description: paid up capital 10 currency. na is Data not available or not applicable. + example: na + paid_up_capital1_currency: + type: string + description: paid up capital 1 currency. na is Data not available or not applicable. + example: SGD + paid_up_capital1_ordinary: + type: string + description: paid up capital 1 ordinary. na is Data not available or not applicable. + example: 10000 + paid_up_capital1_others: + type: string + description: paid up capital 1 others. na is Data not available or not applicable. + example: 0 + paid_up_capital1_preference: + type: string + description: paid up capital 1 preference. na is Data not available or not applicable. + example: 0 + paid_up_capital2_currency: + type: string + description: paid up capital 2 currency. na is Data not available or not applicable. + example: na + paid_up_capital2_ordinary: + type: string + description: paid up capital 2 ordinary. na is Data not available or not applicable. + example: na + paid_up_capital2_others: + type: string + description: paid up capital 2 others. na is Data not available or not applicable. + example: na + paid_up_capital2_preference: + type: string + description: paid up capital 2 prefernce. na is Data not available or not applicable. + example: na + paid_up_capital3_currency: + type: string + description: paid up capital 3 currency. na is Data not available or not applicable. + example: na + paid_up_capital3_ordinary: + type: string + description: paid up capital 3 ordinary. na is Data not available or not applicable. + example: na + paid_up_capital3_others: + type: string + description: paid up capital 3 others. na is Data not available or not applicable. + example: na + paid_up_capital3_preference: + type: string + description: paid up capital 3 preference. na is Data not available or not applicable. + example: na + paid_up_capital4_currency: + type: string + description: paid up capital 4 currency. na is Data not available or not applicable. + example: na + paid_up_capital4_ordinary: + type: string + description: paid up capital 4 ordinary. na is Data not available or not applicable. + example: na + paid_up_capital4_others: + type: string + description: paid up capital 4 others. na is Data not available or not applicable. + example: na + paid_up_capital4_preference: + type: string + description: paid up capital 4 preference. na is Data not available or not applicable. + example: na + paid_up_capital5_currency: + type: string + description: paid up capital 5 currency. na is Data not available or not applicable. + example: na + paid_up_capital5_ordinary: + type: string + description: paid up capital 5 ordinary. na is Data not available or not applicable. + example: na + paid_up_capital5_others: + type: string + description: paid up capital 5 others. na is Data not available or not applicable. + example: na + paid_up_capital5_preference: + type: string + description: paid up capital 5 preference. na is Data not available or not applicable. + example: na + paid_up_capital6_currency: + type: string + description: paid up capital 6 currency. na is Data not available or not applicable. + example: na + paid_up_capital6_ordinary: + type: string + description: paid up capital 6 ordinary. na is Data not available or not applicable. + example: na + paid_up_capital6_others: + type: string + description: paid up capital 6 others. na is Data not available or not applicable. + example: na + paid_up_capital6_preference: + type: string + description: paid up capital 6 preference. na is Data not available or not applicable. + example: na + paid_up_capital7_currency: + type: string + description: paid up capital 7 currency. na is Data not available or not applicable. + example: na + paid_up_capital7_ordinary: + type: string + description: paid up capital 7 ordinary. na is Data not available or not applicable. + example: na + paid_up_capital7_others: + type: string + description: paid up capital 7 others. na is Data not available or not applicable. + example: na + paid_up_capital7_preference: + type: string + description: paid up capital 7 preference. na is Data not available or not applicable. + example: na + paid_up_capital8_currency: + type: string + description: paid up capital 8 currency. na is Data not available or not applicable. + example: na + paid_up_capital8_ordinary: + type: string + description: paid up capital 8 ordinary. na is Data not available or not applicable. + example: na + paid_up_capital8_others: + type: string + description: paid up capital 8 others. na is Data not available or not applicable. + example: na + paid_up_capital8_preference: + type: string + description: paid up capital 8 preference. na is Data not available or not applicable. + example: na + paid_up_capital9_currency: + type: string + description: paid up capital 9 currency. na is Data not available or not applicable. + example: na + paid_up_capital9_ordinary: + type: string + description: paid up capital 9 ordinary. na is Data not available or not applicable. + example: na + paid_up_capital9_others: + type: string + description: paid up capital 9 others. na is Data not available or not applicable. + example: na + paid_up_capital9_preference: + type: string + description: Paid up capital 9 preference. na is Data not available or not applicable. + example: na + postal_code: + type: string + description: Postal Code. na is Data not available or not applicable. + example: 821161 + primary_ssic_code: + type: string + description: Primary SSIC Code. na is Data not available or not applicable. + example: 47732 + primary_ssic_description: + type: string + description: Primary SSIC description. na is Data not available or not applicable. + example: RENOVATION CONTRACTORS + primary_user_described_activity: + type: string + description: Name of primary users. na is Data not available or not applicable, - is Data is negligible or not significant + example: RETAIL SALE OF COUSTUME JEWELLERY , BAGS , WALLET , PURSES ETC + registration_incorporation_date: + type: string + description: Registration Incorporation date. na is Data not available or not applicable. + example: "1984-08-24T00:00:00" + secondary_ssic_code: + type: string + description: Secondary SSIC code. na is Data not available or not applicable. + example: "70201" + secondary_ssic_description: + type: string + description: Secondary SSIC description. na is Data not available or not applicable. + example: MANAGEMENT CONSULTANCY SERVICES (GENERAL) + secondary_user_described_activity: + type: string + description: Secondary user described activity. na is Data not available or not applicable. + example: RETAIL SALE OF COUSTUME JEWELLERY , BAGS , WALLET , PURSES ETC + street_name: + type: string + description: Street name. na is Data not available or not applicable. + example: SIMS AVENUE + uen: + type: string + description: Unqiue entity number. na is Data not available or not applicable. + example: 47850200A + uen_issue_date: + type: string + description: Unqiue entity number issue date. na is Data not available or not applicable. + example: "2008-09-13T00:00:00" + uen_of_audit_firm1: + type: string + description: UEN od audit firm 1. na is Data not available or not applicable. + example: S76PF0095E + uen_of_audit_firm2: + type: string + description: UEN od audit firm 2. na is Data not available or not applicable. + example: na + uen_of_audit_firm3: + type: string + description: UEN od audit firm 3. na is Data not available or not applicable. + example: na + uen_of_audit_firm4: + type: string + description: UEN od audit firm 4. na is Data not available or not applicable. + example: na + uen_of_audit_firm5: + type: string + description: UEN od audit firm 5. na is Data not available or not applicable. + example: na + unit_no: + type: string + description: Unit number. na is Data not available or not applicable, - is Data is negligible or not significant + example: 79 + unique_id: + type: string + description: Unique id provided for each corporate. + example: 9cbb07e9-6aa6-11ed-b9f6-42010a940006 + lastupdated: + type: string + description: Last Updated of the Entities. + example: 2022-11-23T04:45:26.389Z + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Dec 30, 2022 + x-details: Initial version release + description: Latest Version + input: + type: object + properties: + limit: + type: number + default: false + example: 10 + description: The max records to return for the request. Default - 10, Max - 10000 + offset: + type: number + default: false + example: 0 + description: The offset of the record list i.e, the starting index. + aggregation: + type: boolean + default: false + example: false + description: This returns the available bus service number and its corresponding count based on the user input query. Input should be true/false, default is false. + filter: + type: array + default: false + items: + type: object + example: [{"match":{"business_constitution_description":"Partnership"}}] + description: |+ + Its a list of filters to refine the search further. By default it returns the today's latest record with distance field value in ascending order. Each filter consists of a match type, the field and the value. The possible match types are: + * match + * match_phrase + * range + * exists + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. From ecd1f3d9335da6ec4d3fe88708e3b627dafcc2d5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 20 Dec 2022 14:32:14 +0530 Subject: [PATCH 5598/5916] Update acra_dataset.yaml --- data/acra_dataset.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/data/acra_dataset.yaml b/data/acra_dataset.yaml index 7a6e7004c..606dbaa6c 100644 --- a/data/acra_dataset.yaml +++ b/data/acra_dataset.yaml @@ -62,6 +62,10 @@ paths: message: Successfully Processed results: search_result: + total: + relation: eq + value: 1 + max_score: 1 hits: - _index: acra_dataset _type: _doc @@ -167,10 +171,6 @@ paths: paid_up_capital1_ordinary: "na" unique_id: "9cbb07e9-6aa6-11ed-b9f6-42010a940006" sort: [1669178726389] - max_score: 1 - total: - relation: eq - value: 1 status: Success '401': description: Unauthorized From 579b4453de0de231035bcb0de763c799eb6aa3d6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 20 Dec 2022 14:34:24 +0530 Subject: [PATCH 5599/5916] Update acra_dataset.yaml --- data/acra_dataset.yaml | 219 ++++++++++++++++++++--------------------- 1 file changed, 109 insertions(+), 110 deletions(-) diff --git a/data/acra_dataset.yaml b/data/acra_dataset.yaml index 606dbaa6c..7714d8526 100644 --- a/data/acra_dataset.yaml +++ b/data/acra_dataset.yaml @@ -61,116 +61,115 @@ paths: example: message: Successfully Processed results: - search_result: - total: - relation: eq - value: 1 - max_score: 1 - hits: - - _index: acra_dataset - _type: _doc - _id: GVOROIIBeBL0zTSFHCDB - _score: 1 - _ignored: ["annual_return_date", "account_due_date"] - _source: - business_constitution_description: "Partnership" - primary_ssic_description: "SOCIAL SERVICES WITHOUT ACCOMMODATION FOR CHILDREN, YOUTH AND FAMILIES N.E.C." - primary_user_described_activity: "na" - street_name: "UPPER CIRCULAR ROAD" - entity_status_description: "na" - annual_return_date: "na" - postal_code: "058416" - paid_up_capital10_preference: "na" - entity_name: "PECHE HAIR SALON" - paid_up_capital2_others: "na" - lastupdated: "2022-11-23T04:45:26.389Z" - source: "ACRA" - name_of_audit_firm3: "na" - address_type: "LOCAL" - paid_up_capital9_currency: "na" - paid_up_capital8_ordinary: "na" - paid_up_capital6_others: "na" - paid_up_capital6_ordinary: "na" - level_no: "03" - paid_up_capital9_others: "na" - former_entity_name9: "na" - paid_up_capital7_currency: "na" - paid_up_capital6_preference: "na" - paid_up_capital4_currency: "na" - secondary_ssic_code: "96021" - paid_up_capital7_preference: "na" - paid_up_capital1_preference: "na" - paid_up_capital2_preference: "na" - uen: "37550700X" - uen_issue_date: "2008-09-10T00:00:00" - no_of_officers: 4 - former_entity_name3: "na" - building_name: "RIVERWALK GALLERIA" - no_of_charges: 0 - paid_up_capital8_currency: "na" - paid_up_capital2_ordinary: "na" - paid_up_capital3_others: "na" - paid_up_capital4_others: "na" - secondary_ssic_description: "HAIRDRESSING SALONS/SHOPS (INCLUDING BARBER SHOPS)" - paid_up_capital10_currency: "na" - paid_up_capital8_others: "na" - paid_up_capital1_others: "na" - paid_up_capital3_currency: "na" - block: "20" - other_address_line2: "na" - other_address_line1: "na" - account_due_date: "na" - paid_up_capital7_ordinary: "na" - former_entity_name8: "na" - paid_up_capital5_preference: "na" - former_entity_name2: "na" - paid_up_capital3_preference: "na" - former_entity_name1: "na" - former_entity_name6: "na" - former_entity_name7: "na" - former_entity_name4: "na" - former_entity_name5: "na" - paid_up_capital4_ordinary: "na" - secondary_user_described_activity: "na" - issuance_agency_id: "ACRA" - former_entity_name14: "na" - former_entity_name15: "na" - former_entity_name10: "na" - registration_incorporation_date: "1987-04-28T00:00:00" - former_entity_name12: "na" - former_entity_name13: "na" - paid_up_capital2_currency: "na" - paid_up_capital1_currency: "na" - paid_up_capital8_preference: "na" - primary_ssic_code: 88919 - name_of_audit_firm5: "na" - name_of_audit_firm4: "na" - name_of_audit_firm1: "na" - paf_constitution_description: "na" - name_of_audit_firm2: "na" - paid_up_capital9_ordinary: "na" - paid_up_capital4_preference: "na" - former_entity_name11: "na" - unit_no: "09" - paid_up_capital5_others: "na" - paid_up_capital6_currency: "na" - paid_up_capital5_currency: "na" - company_type_description: "na" - uen_of_audit_firm3: "na" - uen_of_audit_firm2: "na" - uen_of_audit_firm1: "na" - paid_up_capital10_ordinary: "na" - paid_up_capital10_others: "na" - uen_of_audit_firm4: "na" - paid_up_capital7_others: "na" - uen_of_audit_firm5: "na" - entity_type_description: "Business" - paid_up_capital3_ordinary: "na" - paid_up_capital5_ordinary: "na" - paid_up_capital9_preference: "na" - paid_up_capital1_ordinary: "na" - unique_id: "9cbb07e9-6aa6-11ed-b9f6-42010a940006" - sort: [1669178726389] + total: + relation: eq + value: 1 + max_score: 1 + hits: + - _index: acra_dataset + _type: _doc + _id: GVOROIIBeBL0zTSFHCDB + _score: 1 + _ignored: ["annual_return_date", "account_due_date"] + _source: + business_constitution_description: "Partnership" + primary_ssic_description: "SOCIAL SERVICES WITHOUT ACCOMMODATION FOR CHILDREN, YOUTH AND FAMILIES N.E.C." + primary_user_described_activity: "na" + street_name: "UPPER CIRCULAR ROAD" + entity_status_description: "na" + annual_return_date: "na" + postal_code: "058416" + paid_up_capital10_preference: "na" + entity_name: "PECHE HAIR SALON" + paid_up_capital2_others: "na" + lastupdated: "2022-11-23T04:45:26.389Z" + source: "ACRA" + name_of_audit_firm3: "na" + address_type: "LOCAL" + paid_up_capital9_currency: "na" + paid_up_capital8_ordinary: "na" + paid_up_capital6_others: "na" + paid_up_capital6_ordinary: "na" + level_no: "03" + paid_up_capital9_others: "na" + former_entity_name9: "na" + paid_up_capital7_currency: "na" + paid_up_capital6_preference: "na" + paid_up_capital4_currency: "na" + secondary_ssic_code: "96021" + paid_up_capital7_preference: "na" + paid_up_capital1_preference: "na" + paid_up_capital2_preference: "na" + uen: "37550700X" + uen_issue_date: "2008-09-10T00:00:00" + no_of_officers: 4 + former_entity_name3: "na" + building_name: "RIVERWALK GALLERIA" + no_of_charges: 0 + paid_up_capital8_currency: "na" + paid_up_capital2_ordinary: "na" + paid_up_capital3_others: "na" + paid_up_capital4_others: "na" + secondary_ssic_description: "HAIRDRESSING SALONS/SHOPS (INCLUDING BARBER SHOPS)" + paid_up_capital10_currency: "na" + paid_up_capital8_others: "na" + paid_up_capital1_others: "na" + paid_up_capital3_currency: "na" + block: "20" + other_address_line2: "na" + other_address_line1: "na" + account_due_date: "na" + paid_up_capital7_ordinary: "na" + former_entity_name8: "na" + paid_up_capital5_preference: "na" + former_entity_name2: "na" + paid_up_capital3_preference: "na" + former_entity_name1: "na" + former_entity_name6: "na" + former_entity_name7: "na" + former_entity_name4: "na" + former_entity_name5: "na" + paid_up_capital4_ordinary: "na" + secondary_user_described_activity: "na" + issuance_agency_id: "ACRA" + former_entity_name14: "na" + former_entity_name15: "na" + former_entity_name10: "na" + registration_incorporation_date: "1987-04-28T00:00:00" + former_entity_name12: "na" + former_entity_name13: "na" + paid_up_capital2_currency: "na" + paid_up_capital1_currency: "na" + paid_up_capital8_preference: "na" + primary_ssic_code: 88919 + name_of_audit_firm5: "na" + name_of_audit_firm4: "na" + name_of_audit_firm1: "na" + paf_constitution_description: "na" + name_of_audit_firm2: "na" + paid_up_capital9_ordinary: "na" + paid_up_capital4_preference: "na" + former_entity_name11: "na" + unit_no: "09" + paid_up_capital5_others: "na" + paid_up_capital6_currency: "na" + paid_up_capital5_currency: "na" + company_type_description: "na" + uen_of_audit_firm3: "na" + uen_of_audit_firm2: "na" + uen_of_audit_firm1: "na" + paid_up_capital10_ordinary: "na" + paid_up_capital10_others: "na" + uen_of_audit_firm4: "na" + paid_up_capital7_others: "na" + uen_of_audit_firm5: "na" + entity_type_description: "Business" + paid_up_capital3_ordinary: "na" + paid_up_capital5_ordinary: "na" + paid_up_capital9_preference: "na" + paid_up_capital1_ordinary: "na" + unique_id: "9cbb07e9-6aa6-11ed-b9f6-42010a940006" + sort: [1669178726389] status: Success '401': description: Unauthorized From d4e12177ea4a38fc6847773fc464d5b36742f218 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 21 Dec 2022 16:40:07 +0530 Subject: [PATCH 5600/5916] Delete tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/tsaiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 0392ecbc28a56bfefc26771787901821e57a9b29 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 22 Dec 2022 10:57:39 +0000 Subject: [PATCH 5601/5916] commit from onboarding tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/tsaiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From d6f2282837d0d27c41da7a5094d4c7c804ad2e61 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Fri, 23 Dec 2022 09:22:39 +0530 Subject: [PATCH 5602/5916] Update org_addusertogroup.yaml --- platform_functions/org_addusertogroup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_addusertogroup.yaml b/platform_functions/org_addusertogroup.yaml index ef0ff57f5..7d8367b2f 100644 --- a/platform_functions/org_addusertogroup.yaml +++ b/platform_functions/org_addusertogroup.yaml @@ -14,7 +14,7 @@ tags: description: "Published Date - May 21, 2021" paths: /org/v0/addusertogroup: - get: + post: tags: - v0.1.0 required: From e8ccf34313a918e1f2b3198373ef5d878387cead Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Fri, 23 Dec 2022 09:23:35 +0530 Subject: [PATCH 5603/5916] Update org_addusertogroup.yaml --- platform_functions/org_addusertogroup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_addusertogroup.yaml b/platform_functions/org_addusertogroup.yaml index 7d8367b2f..ef0ff57f5 100644 --- a/platform_functions/org_addusertogroup.yaml +++ b/platform_functions/org_addusertogroup.yaml @@ -14,7 +14,7 @@ tags: description: "Published Date - May 21, 2021" paths: /org/v0/addusertogroup: - post: + get: tags: - v0.1.0 required: From 9953957306a371d4029c04bf7611953eb43f04c0 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:01:25 +0530 Subject: [PATCH 5604/5916] Update org_addfunctiontogroup.yaml --- .../org_addfunctiontogroup.yaml | 40 +++++++++---------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/platform_functions/org_addfunctiontogroup.yaml b/platform_functions/org_addfunctiontogroup.yaml index ff9d684ab..dd7ec0a63 100644 --- a/platform_functions/org_addfunctiontogroup.yaml +++ b/platform_functions/org_addfunctiontogroup.yaml @@ -11,27 +11,9 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/addfunctiontogroup: - get: + post: tags: - v0.1.0 - required: - - function_id - - group_id - parameters: - - in: query - name: function_id - schema: - type: integer - required: true - description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. - example: "237" - - in: query - name: group_id - schema: - type: integer - required: true - description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. - example: "2451" responses: '200': description: Ok @@ -125,7 +107,25 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + - function_id + - group_id + properties: + function_id: + x-name: function_id + x-type: integer + default: True + description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. + example: "237" + group_id: + x-name: group_id + x-type: integer + default: True + description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. + example: "2451" securitySchemes: APIAuthorizer: type: apiKey From a3d36295297f387aba85839a50ee62de1919bf58 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:05:05 +0530 Subject: [PATCH 5605/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 40 +++++++++---------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index a17fed63f..fd8a0c8f3 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -11,27 +11,9 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/addusertofunction: - get: + post: tags: - v0.1.0 - required: - - function_id - - user_id - parameters: - - in: query - name: function_id - schema: - type: integer - required: true - description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. - example: "237" - - in: query - name: user_id - schema: - type: integer - required: true - description: User Id. Refer to User List API to get the user id (results.user_id) details. - example: "2365" responses: '200': description: Ok @@ -125,7 +107,25 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + - function_id + - user_id + parameters: + function_id: + x-name: function_id + type: integer + default: True + description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. + example: "237" + user_id: + x-name: user_id + type: integer + default: True + description: User Id. Refer to User List API to get the user id (results.user_id) details. + example: "2365" securitySchemes: APIAuthorizer: type: apiKey From 62dea3b04edf7660febd8526482c8d8885324ed3 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:05:29 +0530 Subject: [PATCH 5606/5916] Update org_addfunctiontogroup.yaml --- platform_functions/org_addfunctiontogroup.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_addfunctiontogroup.yaml b/platform_functions/org_addfunctiontogroup.yaml index dd7ec0a63..aa76662a5 100644 --- a/platform_functions/org_addfunctiontogroup.yaml +++ b/platform_functions/org_addfunctiontogroup.yaml @@ -116,13 +116,13 @@ components: properties: function_id: x-name: function_id - x-type: integer + type: integer default: True description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. example: "237" group_id: x-name: group_id - x-type: integer + type: integer default: True description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. example: "2451" From 7c30783347ab50d4ea30f516a3bea7cb52da97a5 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:08:39 +0530 Subject: [PATCH 5607/5916] Update org_addusertogroup.yaml --- platform_functions/org_addusertogroup.yaml | 40 +++++++++++----------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/platform_functions/org_addusertogroup.yaml b/platform_functions/org_addusertogroup.yaml index ef0ff57f5..86f12d357 100644 --- a/platform_functions/org_addusertogroup.yaml +++ b/platform_functions/org_addusertogroup.yaml @@ -14,27 +14,9 @@ tags: description: "Published Date - May 21, 2021" paths: /org/v0/addusertogroup: - get: + post: tags: - v0.1.0 - required: - - user_id - - group_id - parameters: - - in: query - name: user_id - schema: - type: integer - required: true - description: User Id. Refer to User List API to get the user id (results.user_id) details. - example: "1121" - - in: query - name: group_id - schema: - type: integer - required: true - description: Group Id. Refer to Group List to get the group id(results.group_id) details. - example: "7" responses: '200': description: Ok @@ -128,7 +110,25 @@ components: oneOf: - type: string example: Published Date - Nov 25,2019 - description: Initial version release + description: Initial version release + input: + type: object + required: + - user_id + - group_id + properties: + user_id: + x-name: user_id + type: integer + default: True + description: User Id. Refer to User List API to get the user id (results.user_id) details. + example: "1121" + group_id: + x-name: group_id + type: integer + default: True + description: Group Id. Refer to Group List to get the group id(results.group_id) details. + example: "7" securitySchemes: APIAuthorizer: type: apiKey From fd92a43aa616aadbf7149e85caebc689044bc255 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:09:31 +0530 Subject: [PATCH 5608/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index fd8a0c8f3..dca8255a2 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -113,7 +113,7 @@ components: required: - function_id - user_id - parameters: + properties: function_id: x-name: function_id type: integer From 930c3e6eb50bddef2e3d29cb124c40e53ad225e2 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:11:32 +0530 Subject: [PATCH 5609/5916] Update org_deletegroup.yaml --- platform_functions/org_deletegroup.yaml | 25 +++++++++++++------------ 1 file changed, 13 insertions(+), 12 deletions(-) diff --git a/platform_functions/org_deletegroup.yaml b/platform_functions/org_deletegroup.yaml index 451196522..9b14d5a34 100644 --- a/platform_functions/org_deletegroup.yaml +++ b/platform_functions/org_deletegroup.yaml @@ -11,19 +11,9 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/deletegroup: - get: + post: tags: - v0.1.0 - required: - - group_id - parameters: - - in: query - name: group_id - schema: - type: integer - required: true - description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. - example: "2466" responses: '200': description: Ok @@ -117,7 +107,18 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + - group_id + properties: + group_id: + x-name: group_id + type: integer + dafault: True + description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. + example: "2466" securitySchemes: APIAuthorizer: type: apiKey From 252c484b78d4f6a218a924f39d1c0cea576d42e2 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:13:54 +0530 Subject: [PATCH 5610/5916] Update org_deleteuser.yaml --- platform_functions/org_deleteuser.yaml | 23 +++++++++++++---------- 1 file changed, 13 insertions(+), 10 deletions(-) diff --git a/platform_functions/org_deleteuser.yaml b/platform_functions/org_deleteuser.yaml index 42e440485..9ad13064b 100644 --- a/platform_functions/org_deleteuser.yaml +++ b/platform_functions/org_deleteuser.yaml @@ -14,17 +14,9 @@ tags: description: "Published Date - May 21, 2021" paths: /org/v0/deleteuser: - get: + post: tags: - v0.1.0 - parameters: - - in: query - name: user_id - schema: - type: integer - required: true - description: User id of the user. Refer to User List API to get the user id (results.user_id) details. - example: "1326" responses: '200': description: Ok @@ -118,7 +110,18 @@ components: oneOf: - type: string example: Published Date - Jul 09,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + -user_id + properties: + user_id: + x-name: user_id + type: integer + default: True + description: User id of the user. Refer to User List API to get the user id (results.user_id) details. + example: "1326" securitySchemes: APIAuthorizer: type: apiKey From 1848ef445c8e8991e767f3aa0d1f4f242210e190 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:31:31 +0530 Subject: [PATCH 5611/5916] Update org_getfunctionlist.yaml --- platform_functions/org_getfunctionlist.yaml | 37 +++++++++++---------- 1 file changed, 20 insertions(+), 17 deletions(-) diff --git a/platform_functions/org_getfunctionlist.yaml b/platform_functions/org_getfunctionlist.yaml index 92170a654..20730c2f2 100644 --- a/platform_functions/org_getfunctionlist.yaml +++ b/platform_functions/org_getfunctionlist.yaml @@ -11,24 +11,9 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/getfunctionlist: - get: + post: tags: - v0.1.0 - parameters: - - in: query - name: owner_id - schema: - type: integer - required: false - description: Owner Id - example: "1" - - in: query - name: type - schema: - type: string - required: false - description: API or Function Type - example: "apis" responses: '200': description: Ok @@ -122,7 +107,25 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object: + required: + - owner_id + - type + properties: + owner_id: + x-name: owner_id + type: integer + default: false + description: Owner Id + example: "1" + type: + x-name: type + type: string + required: false + description: API or Function Type + example: "apis" securitySchemes: APIAuthorizer: type: apiKey From 096f7b290d4a72d0b8591882b570848078eaa5b4 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:33:22 +0530 Subject: [PATCH 5612/5916] Update org_getgroupinfo.yaml --- platform_functions/org_getgroupinfo.yaml | 23 +++++++++++++---------- 1 file changed, 13 insertions(+), 10 deletions(-) diff --git a/platform_functions/org_getgroupinfo.yaml b/platform_functions/org_getgroupinfo.yaml index 6369d6084..91234bc46 100644 --- a/platform_functions/org_getgroupinfo.yaml +++ b/platform_functions/org_getgroupinfo.yaml @@ -12,17 +12,9 @@ tags: description: "Published Date - Jul 09, 2021" paths: /org/v0/getgroupinfo: - get: + post: tags: - v0.1.0 - parameters: - - in: query - name: group_id - schema: - type: integer - required: true - description: Group Id. Refer to Group List API to get the group id(results.group_id) details. - example: "253" responses: '200': description: Ok @@ -192,7 +184,18 @@ components: oneOf: - type: string example: Published Date - Jul 09,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + - group_id + properties: + group_id: + x-name: group_id + type: integer + default: true + description: Group Id. Refer to Group List API to get the group id(results.group_id) details. + example: "253" securitySchemes: APIAuthorizer: type: apiKey From 7de57078de08e0992a9c52bbc2561b7009dbff52 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:35:59 +0530 Subject: [PATCH 5613/5916] Update org_getorgassignfunctions.yaml --- platform_functions/org_getorgassignfunctions.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getorgassignfunctions.yaml b/platform_functions/org_getorgassignfunctions.yaml index a95bbea41..cbb49df2a 100644 --- a/platform_functions/org_getorgassignfunctions.yaml +++ b/platform_functions/org_getorgassignfunctions.yaml @@ -11,7 +11,7 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/getorgassignfunctions: - get: + post: tags: - v0.1.0 responses: From b9472dd15a39902fb0d090d5eb151f5b0b99d27d Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:36:24 +0530 Subject: [PATCH 5614/5916] Update org_getorggrouplist.yaml --- platform_functions/org_getorggrouplist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getorggrouplist.yaml b/platform_functions/org_getorggrouplist.yaml index cab4a738a..a808843c2 100644 --- a/platform_functions/org_getorggrouplist.yaml +++ b/platform_functions/org_getorggrouplist.yaml @@ -13,7 +13,7 @@ tags: description: "Published Date - Jul 09, 2021" paths: /org/v0/getorggrouplist: - get: + post: tags: - v0.1.0 responses: From dd69e5f19fd7e420d919d6ba2c76661e922958bb Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:36:48 +0530 Subject: [PATCH 5615/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index ad7822bf5..91bceeec9 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -13,7 +13,7 @@ tags: description: "Published Date - May 21, 2021" paths: /org/v0/getorginfo: - get: + post: tags: - v0.1.0 responses: From 77d87ee0880fee2d54342a549ae9a906e6e0b60b Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:39:13 +0530 Subject: [PATCH 5616/5916] Update org_getuserinfo.yaml --- platform_functions/org_getuserinfo.yaml | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/platform_functions/org_getuserinfo.yaml b/platform_functions/org_getuserinfo.yaml index d967cc5b5..8c04a74b6 100644 --- a/platform_functions/org_getuserinfo.yaml +++ b/platform_functions/org_getuserinfo.yaml @@ -11,17 +11,9 @@ tags: description: "Published Date - Jul 09, 2021" paths: /org/v0/getuserinfo: - get: + post: tags: - v0.1.0 - parameters: - - in: query - name: user_id - schema: - type: integer - description: Default it will be based on api key user details. For User Id, Refer to User List API to get the user id (results.user_id) details. - example: "1334" - default: false responses: '200': description: Ok @@ -189,7 +181,16 @@ components: oneOf: - type: string example: Published Date - Jul 09,2019 - description: Initial version release + description: Initial version release + input: + type: object + properties: + user_id: + x-name: user_id + type: integer + description: Default it will be based on api key user details. For User Id, Refer to User List API to get the user id (results.user_id) details. + example: "1334" + default: false securitySchemes: APIAuthorizer: type: apiKey From ba03be35e25f623ba94de4f8d38528e9162e6470 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:40:22 +0530 Subject: [PATCH 5617/5916] Update org_getgroupinfo.yaml --- platform_functions/org_getgroupinfo.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/platform_functions/org_getgroupinfo.yaml b/platform_functions/org_getgroupinfo.yaml index 91234bc46..3c9de89cd 100644 --- a/platform_functions/org_getgroupinfo.yaml +++ b/platform_functions/org_getgroupinfo.yaml @@ -187,8 +187,6 @@ components: description: Initial version release input: type: object - required: - - group_id properties: group_id: x-name: group_id From 81a9c19769583cb82f9003e1bb5598cd235572ab Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:42:16 +0530 Subject: [PATCH 5618/5916] Update org_getuserlist.yaml --- platform_functions/org_getuserlist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getuserlist.yaml b/platform_functions/org_getuserlist.yaml index dcd5b4dfc..56089b440 100644 --- a/platform_functions/org_getuserlist.yaml +++ b/platform_functions/org_getuserlist.yaml @@ -11,7 +11,7 @@ tags: description: "Published Date - May 21, 2021" paths: /org/v0/getuserlist: - get: + post: tags: - v1.0.0 responses: From 75cbaa8817ad96cbae9a4c5a8c5d831f8d21e41f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:44:14 +0530 Subject: [PATCH 5619/5916] Update org_removefunctionfromgroup.yaml --- .../org_removefunctionfromgroup.yaml | 25 ++++++++++--------- 1 file changed, 13 insertions(+), 12 deletions(-) diff --git a/platform_functions/org_removefunctionfromgroup.yaml b/platform_functions/org_removefunctionfromgroup.yaml index 0b2c6d08b..bc6e895be 100644 --- a/platform_functions/org_removefunctionfromgroup.yaml +++ b/platform_functions/org_removefunctionfromgroup.yaml @@ -11,19 +11,9 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/removefunctionfromgroup: - get: + post: tags: - v0.1.0 - required: - - function_group_id - parameters: - - in: query - name: function_group_id - schema: - type: integer - required: true - description: Function Group Id. Initially to get Group Id. Refer to Group List API to get the group id(results.group_id) details. To get function_group_id, Refer to View Group Details API to get the id from (result.group_function.id) details for any particular function. - example: "66934" responses: '200': description: Ok @@ -117,7 +107,18 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + - function_group_id + properties: + function_group_id: + x-name: function_group_id + type: integer + required: true + description: Function Group Id. Initially to get Group Id. Refer to Group List API to get the group id(results.group_id) details. To get function_group_id, Refer to View Group Details API to get the id from (result.group_function.id) details for any particular function. + example: "66934" securitySchemes: APIAuthorizer: type: apiKey From 4a13b6db7d18749bbfc0d2d76e5f3fd194a86925 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:45:37 +0530 Subject: [PATCH 5620/5916] Update org_removeuserfromfunction.yaml --- .../org_removeuserfromfunction.yaml | 23 ++++++++++--------- 1 file changed, 12 insertions(+), 11 deletions(-) diff --git a/platform_functions/org_removeuserfromfunction.yaml b/platform_functions/org_removeuserfromfunction.yaml index 979020ffc..84ed14422 100644 --- a/platform_functions/org_removeuserfromfunction.yaml +++ b/platform_functions/org_removeuserfromfunction.yaml @@ -11,19 +11,9 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/removeuserfromfunction: - get: + post: tags: - v0.1.0 - required: - - user_function_id - parameters: - - in: query - name: user_function_id - schema: - type: integer - required: true - description: User Function Id. Initially to get User Id. Refer to User List API to get the user id(results.user_id) details. To get user_function_id, Refer to View User Details API to get the id from (results.direct_function.id) details for any particular function. - example: "66934" responses: '200': description: Ok @@ -118,6 +108,17 @@ components: - type: string example: Published Date - Sep 6,2021 description: Initial version release + input: + type: object + required: + - user_function_id + properties: + user_function_id: + x-name: user_function_id + type: integer + required: true + description: User Function Id. Initially to get User Id. Refer to User List API to get the user id(results.user_id) details. To get user_function_id, Refer to View User Details API to get the id from (results.direct_function.id) details for any particular function. + example: "66934" securitySchemes: APIAuthorizer: type: apiKey From 03af6965b621eebe4f78123a7789f6e8cf5d33d2 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:46:53 +0530 Subject: [PATCH 5621/5916] Update org_removeuserfromgroup.yaml --- .../org_removeuserfromgroup.yaml | 21 ++++++++++--------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/platform_functions/org_removeuserfromgroup.yaml b/platform_functions/org_removeuserfromgroup.yaml index 1f93a27f8..92bc2b0cd 100644 --- a/platform_functions/org_removeuserfromgroup.yaml +++ b/platform_functions/org_removeuserfromgroup.yaml @@ -11,17 +11,9 @@ tags: description: "Published Date - Nov 1, 2021" paths: /org/v0/removeuserfromgroup: - get: + post: tags: - v0.1.0 - parameters: - - in: query - name: user_group_id - schema: - type: integer - required: true - description: User Group Id. Refer to View User Details API to get the user group id (results.groups.id) details. - example: "1" responses: '200': description: Ok @@ -115,7 +107,16 @@ components: oneOf: - type: string example: Published Date - Nov 1,2021 - description: Initial version release + description: Initial version release + input: + type: object + properties: + user_group_id: + name: user_group_id + type: integer + required: true + description: User Group Id. Refer to View User Details API to get the user group id (results.groups.id) details. + example: "1" securitySchemes: APIAuthorizer: type: apiKey From 2fb07da0c1c819c716542a33e098d3c3e83387b4 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:48:51 +0530 Subject: [PATCH 5622/5916] Update org_subscription.yaml --- platform_functions/org_subscription.yaml | 40 ++++++++++++------------ 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/platform_functions/org_subscription.yaml b/platform_functions/org_subscription.yaml index 030fd439d..090d1a8a5 100644 --- a/platform_functions/org_subscription.yaml +++ b/platform_functions/org_subscription.yaml @@ -11,27 +11,9 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/subscription: - get: + post: tags: - v0.1.0 - required: - - key - - value - parameters: - - in: query - name: key - schema: - type: string - required: true - description: Keys of either Function Id or Function Code. - example: "function_id or function_code" - - in: query - name: value - schema: - type: string - required: true - description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. - example: "217 or WEBSCRAPING" responses: '200': description: Ok @@ -125,7 +107,25 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + - key + - value + properties: + key: + x-name: key + type: string + required: true + description: Keys of either Function Id or Function Code. + example: "function_id or function_code" + value: + x-name: value + type: string + required: true + description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. + example: "217 or WEBSCRAPING" securitySchemes: APIAuthorizer: type: apiKey From 107483dacd43ebcb4df3e36623fadf03bf006751 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 12:51:01 +0530 Subject: [PATCH 5623/5916] Update org_unsubscription.yaml --- platform_functions/org_unsubscription.yaml | 40 +++++++++++----------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/platform_functions/org_unsubscription.yaml b/platform_functions/org_unsubscription.yaml index 84ece4726..d9daf28cf 100644 --- a/platform_functions/org_unsubscription.yaml +++ b/platform_functions/org_unsubscription.yaml @@ -11,27 +11,9 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/unsubscription: - get: + post: tags: - v0.1.0 - required: - - key - - value - parameters: - - in: query - name: key - schema: - type: string - required: true - description: Keys of either Function Id or Function Code. - example: "function_id or function_code" - - in: query - name: value - schema: - type: string - required: true - description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. - example: "217 or WEBSCRAPING" responses: '200': description: Ok @@ -125,7 +107,25 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + - key + - value + properties: + key: + x-name: key + type: string + required: true + description: Keys of either Function Id or Function Code. + example: "function_id or function_code" + value: + x-name: value + type: string + required: true + description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. + example: "217 or WEBSCRAPING" securitySchemes: APIAuthorizer: type: apiKey From 5f15a949749502417b54817a31ace10da0b6fcc3 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 17:22:17 +0530 Subject: [PATCH 5624/5916] Update org_addfunctiontogroup.yaml --- platform_functions/org_addfunctiontogroup.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_addfunctiontogroup.yaml b/platform_functions/org_addfunctiontogroup.yaml index aa76662a5..a6b2d2f8e 100644 --- a/platform_functions/org_addfunctiontogroup.yaml +++ b/platform_functions/org_addfunctiontogroup.yaml @@ -117,13 +117,13 @@ components: function_id: x-name: function_id type: integer - default: True + required: true description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. example: "237" group_id: x-name: group_id type: integer - default: True + required: true description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. example: "2451" securitySchemes: From 0c5aef149c6839c144627d6970b105fc53f4d6ed Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 17:23:16 +0530 Subject: [PATCH 5625/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index dca8255a2..c6b000359 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -117,13 +117,13 @@ components: function_id: x-name: function_id type: integer - default: True + required: true description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. example: "237" user_id: x-name: user_id type: integer - default: True + required: true description: User Id. Refer to User List API to get the user id (results.user_id) details. example: "2365" securitySchemes: From bd41cc72654344d985f039431c3041832466f7fb Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 17:23:53 +0530 Subject: [PATCH 5626/5916] Update org_addusertogroup.yaml --- platform_functions/org_addusertogroup.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_addusertogroup.yaml b/platform_functions/org_addusertogroup.yaml index 86f12d357..af48f7d46 100644 --- a/platform_functions/org_addusertogroup.yaml +++ b/platform_functions/org_addusertogroup.yaml @@ -120,13 +120,13 @@ components: user_id: x-name: user_id type: integer - default: True + required: true description: User Id. Refer to User List API to get the user id (results.user_id) details. example: "1121" group_id: x-name: group_id type: integer - default: True + required: true description: Group Id. Refer to Group List to get the group id(results.group_id) details. example: "7" securitySchemes: From 3637a443a2ddda2d6ff5682e68125588af16f0d0 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 17:25:05 +0530 Subject: [PATCH 5627/5916] Update org_getfunctionlist.yaml --- platform_functions/org_getfunctionlist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getfunctionlist.yaml b/platform_functions/org_getfunctionlist.yaml index 20730c2f2..5a01d7039 100644 --- a/platform_functions/org_getfunctionlist.yaml +++ b/platform_functions/org_getfunctionlist.yaml @@ -117,7 +117,7 @@ components: owner_id: x-name: owner_id type: integer - default: false + required: false description: Owner Id example: "1" type: From 4fba879f9d9db6b5034edeaa6cd0acd34e1be4d6 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 17:25:30 +0530 Subject: [PATCH 5628/5916] Update org_getgroupinfo.yaml --- platform_functions/org_getgroupinfo.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getgroupinfo.yaml b/platform_functions/org_getgroupinfo.yaml index 3c9de89cd..96f384094 100644 --- a/platform_functions/org_getgroupinfo.yaml +++ b/platform_functions/org_getgroupinfo.yaml @@ -191,7 +191,7 @@ components: group_id: x-name: group_id type: integer - default: true + required: true description: Group Id. Refer to Group List API to get the group id(results.group_id) details. example: "253" securitySchemes: From 61d8f7b36432241bdb50859c1910b24d55a15cbe Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 17:28:31 +0530 Subject: [PATCH 5629/5916] Update org_getdeletedorglist.yaml --- platform_functions/org_getdeletedorglist.yaml | 21 ++++++++++--------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/platform_functions/org_getdeletedorglist.yaml b/platform_functions/org_getdeletedorglist.yaml index 520c57989..54c9ef8f2 100644 --- a/platform_functions/org_getdeletedorglist.yaml +++ b/platform_functions/org_getdeletedorglist.yaml @@ -11,17 +11,9 @@ tags: description: "Published Date - May 21, 2021" paths: /org/getdeletedorglist: - get: + post: tags: - v1.0.0 - parameters: - - in: query - name: x_api_key - schema: - type: string - description: x_api_key - example: xxxxxxxxx - default: false responses: '200': description: Ok @@ -5194,7 +5186,16 @@ components: oneOf: - type: string example: Published Date - Nov 25,2019 - description: Initial version release + description: Initial version release + input: + type:object + properties: + x_api_key: + x-name: x_api_key + type: string + description: x_api_key + example: xxxxxxxxx + default: false securitySchemes: APIAuthorizer: type: apiKey From b022cc4331f2fdbb80b05de6e0a37561db290b51 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 26 Dec 2022 17:29:08 +0530 Subject: [PATCH 5630/5916] Update org_getdeleteduserlist.yaml --- platform_functions/org_getdeleteduserlist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getdeleteduserlist.yaml b/platform_functions/org_getdeleteduserlist.yaml index 94b5feef9..e9913810d 100644 --- a/platform_functions/org_getdeleteduserlist.yaml +++ b/platform_functions/org_getdeleteduserlist.yaml @@ -11,7 +11,7 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/getdeleteduserlist: - get: + post: tags: - v0.1.0 responses: From 930774b8d865174401fc9aa12ea4e9660bc5fb61 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 09:58:18 +0530 Subject: [PATCH 5631/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 42 +++++++++---------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index c6b000359..9a563046c 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -5,15 +5,33 @@ info: x-subscribelink: add_user_to_function version: '0.1.0' servers: - - url: 'https://dev-microserviceapi-org.sentient.io' + - url: 'https://platform-apis-org.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Sep 6, 2021" paths: /org/v0/addusertofunction: - post: + get: tags: - v0.1.0 + required: + - function_id + - user_id + parameters: + - in: query + name: function_id + schema: + type: integer + required: true + description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. + example: "237" + - in: query + name: user_id + schema: + type: integer + required: true + description: User Id. Refer to User List API to get the user id (results.user_id) details. + example: "2365" responses: '200': description: Ok @@ -107,25 +125,7 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release - input: - type: object - required: - - function_id - - user_id - properties: - function_id: - x-name: function_id - type: integer - required: true - description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. - example: "237" - user_id: - x-name: user_id - type: integer - required: true - description: User Id. Refer to User List API to get the user id (results.user_id) details. - example: "2365" + description: Initial version release securitySchemes: APIAuthorizer: type: apiKey From 1525cc3fb1f654885462399ad13ffd4b1c745edc Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 10:29:35 +0530 Subject: [PATCH 5632/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 47 +++++++++++-------- 1 file changed, 27 insertions(+), 20 deletions(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index 9a563046c..2767e4079 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -11,27 +11,9 @@ tags: description: "Published Date - Sep 6, 2021" paths: /org/v0/addusertofunction: - get: + post: tags: - v0.1.0 - required: - - function_id - - user_id - parameters: - - in: query - name: function_id - schema: - type: integer - required: true - description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. - example: "237" - - in: query - name: user_id - schema: - type: integer - required: true - description: User Id. Refer to User List API to get the user id (results.user_id) details. - example: "2365" responses: '200': description: Ok @@ -68,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -125,7 +113,26 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + - function_id + - user_id + properties: + function_id: + x-name: function_id + type: integer + required: true + example: "237" + description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. + user_id: + x-name: user_id + type: integer + required: true + example: "2365" + description: User Id. Refer to User List API to get the user id (results.user_id) details. + securitySchemes: APIAuthorizer: type: apiKey From 776ff2c22eb1ae06a8e4a44722051edd3d3d09c9 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 11:25:55 +0530 Subject: [PATCH 5633/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index 2767e4079..c295201a2 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -123,14 +123,14 @@ components: function_id: x-name: function_id type: integer - required: true - example: "237" + default: True + example: 237 description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. user_id: x-name: user_id type: integer - required: true - example: "2365" + default: True + example: 2365 description: User Id. Refer to User List API to get the user id (results.user_id) details. securitySchemes: From 55f8c3e064f843b0afba63cc422b6630f63b1f9b Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 11:27:14 +0530 Subject: [PATCH 5634/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index c295201a2..468a39f9c 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -126,13 +126,16 @@ components: default: True example: 237 description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. + items: + type: object user_id: x-name: user_id type: integer default: True example: 2365 description: User Id. Refer to User List API to get the user id (results.user_id) details. - + items: + type: object securitySchemes: APIAuthorizer: type: apiKey From 6e028b4ff1262a8d21314e6d02d85f1b0533a858 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 11:40:09 +0530 Subject: [PATCH 5635/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index 468a39f9c..0c5c58027 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -5,7 +5,7 @@ info: x-subscribelink: add_user_to_function version: '0.1.0' servers: - - url: 'https://platform-apis-org.sentient.io' + - url: 'https://dev-microserviceapi-org.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Sep 6, 2021" @@ -126,16 +126,12 @@ components: default: True example: 237 description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. - items: - type: object user_id: x-name: user_id type: integer default: True example: 2365 description: User Id. Refer to User List API to get the user id (results.user_id) details. - items: - type: object securitySchemes: APIAuthorizer: type: apiKey From aa11c7439d7d31d4554e1a76f6400c4b9c1d6387 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 11:52:20 +0530 Subject: [PATCH 5636/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index 0c5c58027..a05a2926a 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -114,7 +114,7 @@ components: - type: string example: Published Date - Sep 6,2021 description: Initial version release - input: + input: type: object required: - function_id From 41192e84ca9fac25c9b7937d4d09334acb581907 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 11:57:00 +0530 Subject: [PATCH 5637/5916] Update org_addfunctiontogroup.yaml --- .../org_addfunctiontogroup.yaml | 42 +++++++++++-------- 1 file changed, 24 insertions(+), 18 deletions(-) diff --git a/platform_functions/org_addfunctiontogroup.yaml b/platform_functions/org_addfunctiontogroup.yaml index a6b2d2f8e..7b2c02cde 100644 --- a/platform_functions/org_addfunctiontogroup.yaml +++ b/platform_functions/org_addfunctiontogroup.yaml @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -108,24 +114,24 @@ components: - type: string example: Published Date - Sep 6,2021 description: Initial version release - input: - type: object - required: - - function_id - - group_id - properties: - function_id: - x-name: function_id - type: integer - required: true - description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. - example: "237" - group_id: - x-name: group_id - type: integer - required: true - description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. - example: "2451" + input: + type: object + required: + - function_id + - group_id + properties: + function_id: + x-name: function_id + type: integer + default: True + description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. + example: "237" + group_id: + x-name: group_id + type: integer + default: True + description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. + example: "2451" securitySchemes: APIAuthorizer: type: apiKey From caa15c8468d2f9c5a6b2cd5b914d1bd4d411d57d Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 11:57:28 +0530 Subject: [PATCH 5638/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index a05a2926a..b62135d87 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -124,13 +124,13 @@ components: x-name: function_id type: integer default: True - example: 237 + example: "237" description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. user_id: x-name: user_id type: integer default: True - example: 2365 + example: "2365" description: User Id. Refer to User List API to get the user id (results.user_id) details. securitySchemes: APIAuthorizer: From b52e1276e658b54da7b04d998e267a5c8be60034 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:02:36 +0530 Subject: [PATCH 5639/5916] Update org_addusertogroup.yaml --- platform_functions/org_addusertogroup.yaml | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/platform_functions/org_addusertogroup.yaml b/platform_functions/org_addusertogroup.yaml index af48f7d46..989925fb2 100644 --- a/platform_functions/org_addusertogroup.yaml +++ b/platform_functions/org_addusertogroup.yaml @@ -53,6 +53,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -111,24 +117,24 @@ components: - type: string example: Published Date - Nov 25,2019 description: Initial version release - input: - type: object - required: + input: + type: object + required: - user_id - group_id properties: user_id: x-name: user_id type: integer - required: true + default: True description: User Id. Refer to User List API to get the user id (results.user_id) details. example: "1121" group_id: x-name: group_id type: integer - required: true + default: True description: Group Id. Refer to Group List to get the group id(results.group_id) details. - example: "7" + example: "7" securitySchemes: APIAuthorizer: type: apiKey From 1759d679dbac9a5d631d370de5c62d0bd3192139 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:11:12 +0530 Subject: [PATCH 5640/5916] Update org_addfunctiontogroup.yaml --- .../org_addfunctiontogroup.yaml | 32 +++++++++---------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/platform_functions/org_addfunctiontogroup.yaml b/platform_functions/org_addfunctiontogroup.yaml index 7b2c02cde..486e8403c 100644 --- a/platform_functions/org_addfunctiontogroup.yaml +++ b/platform_functions/org_addfunctiontogroup.yaml @@ -113,25 +113,25 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release input: type: object required: - - function_id - - group_id - properties: - function_id: - x-name: function_id - type: integer - default: True - description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. - example: "237" - group_id: - x-name: group_id - type: integer - default: True - description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. - example: "2451" + - function_id + - group_id + properties: + function_id: + x-name: function_id + type: integer + default: True + description: Function Id. Refer to Assign Functions API to get the function id (result.function_id) details. + example: "237" + group_id: + x-name: group_id + type: integer + default: True + description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. + example: "2451" securitySchemes: APIAuthorizer: type: apiKey From 9ebe1f3fd3233b2cf5ea83ff4f79ac898ad7d93b Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:13:43 +0530 Subject: [PATCH 5641/5916] Update org_addusertogroup.yaml --- platform_functions/org_addusertogroup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_addusertogroup.yaml b/platform_functions/org_addusertogroup.yaml index 989925fb2..204248c4f 100644 --- a/platform_functions/org_addusertogroup.yaml +++ b/platform_functions/org_addusertogroup.yaml @@ -134,7 +134,7 @@ components: type: integer default: True description: Group Id. Refer to Group List to get the group id(results.group_id) details. - example: "7" + example: "7" securitySchemes: APIAuthorizer: type: apiKey From 50ac7c0a636c54d743f981244e4006c5887d295d Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:21:30 +0530 Subject: [PATCH 5642/5916] Update org_addusertogroup.yaml --- platform_functions/org_addusertogroup.yaml | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/platform_functions/org_addusertogroup.yaml b/platform_functions/org_addusertogroup.yaml index 204248c4f..ebb4075ac 100644 --- a/platform_functions/org_addusertogroup.yaml +++ b/platform_functions/org_addusertogroup.yaml @@ -1,10 +1,7 @@ openapi: 3.0.1 info: title: Add Group To User - description: |+ - This is an organization account function and this API provides operations to manage users in your organization.
- This API grants the specified user permissions to the specified group withing your organization.
- The user's access can be adjusted by using the admistrator user dashboard. + description: This is an organization account function and this API provides operations to manage users in your organization. This API grants the specified user permissions to the specified group withing your organization. The user's access can be adjusted by using the admistrator user dashboard. x-subscribelink: add_user_to_group version: '0.1.0' servers: @@ -116,7 +113,7 @@ components: oneOf: - type: string example: Published Date - Nov 25,2019 - description: Initial version release + description: Initial version release input: type: object required: From 13ab3151c51ab943c93b0ab0bad71c18eab75fd2 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:25:32 +0530 Subject: [PATCH 5643/5916] Update org_deletegroup.yaml --- platform_functions/org_deletegroup.yaml | 30 +++++++++++++++---------- 1 file changed, 18 insertions(+), 12 deletions(-) diff --git a/platform_functions/org_deletegroup.yaml b/platform_functions/org_deletegroup.yaml index 9b14d5a34..22f87abf1 100644 --- a/platform_functions/org_deletegroup.yaml +++ b/platform_functions/org_deletegroup.yaml @@ -10,7 +10,7 @@ tags: - name: "v0.1.0" description: "Published Date - Sep 6, 2021" paths: - /org/v0/deletegroup: + /org/v0/deletegroup: post: tags: - v0.1.0 @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -108,17 +114,17 @@ components: - type: string example: Published Date - Sep 6,2021 description: Initial version release - input: - type: object - required: - - group_id - properties: - group_id: - x-name: group_id - type: integer - dafault: True - description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. - example: "2466" + input: + type: object + required: + - group_id + properties: + group_id: + x-name: group_id + type: integer + default: True + description: Group Id. Refer to View Group Details API to get the group id (result.group_id) details. + example: "2466" securitySchemes: APIAuthorizer: type: apiKey From 11ab0a027c726017d01519ea7e912eca6cf5f5f4 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:30:40 +0530 Subject: [PATCH 5644/5916] Update org_deleteuser.yaml --- platform_functions/org_deleteuser.yaml | 28 ++++++++++++++++---------- 1 file changed, 17 insertions(+), 11 deletions(-) diff --git a/platform_functions/org_deleteuser.yaml b/platform_functions/org_deleteuser.yaml index 9ad13064b..99e67e465 100644 --- a/platform_functions/org_deleteuser.yaml +++ b/platform_functions/org_deleteuser.yaml @@ -53,6 +53,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -111,17 +117,17 @@ components: - type: string example: Published Date - Jul 09,2021 description: Initial version release - input: - type: object - required: - -user_id - properties: - user_id: - x-name: user_id - type: integer - default: True - description: User id of the user. Refer to User List API to get the user id (results.user_id) details. - example: "1326" + input: + type: object + required: + - user_id + properties: + user_id: + x-name: user_id + type: integer + default: True + description: User id of the user. Refer to User List API to get the user id (results.user_id) details. + example: "1326" securitySchemes: APIAuthorizer: type: apiKey From 3bfb427f991026510e9cd2715dda0c54bbc63b53 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:46:30 +0530 Subject: [PATCH 5645/5916] Update org_getdeletedorglist.yaml --- platform_functions/org_getdeletedorglist.yaml | 26 ++++++++++++------- 1 file changed, 17 insertions(+), 9 deletions(-) diff --git a/platform_functions/org_getdeletedorglist.yaml b/platform_functions/org_getdeletedorglist.yaml index 54c9ef8f2..9c3f6ea7c 100644 --- a/platform_functions/org_getdeletedorglist.yaml +++ b/platform_functions/org_getdeletedorglist.yaml @@ -5103,6 +5103,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -5187,15 +5193,17 @@ components: - type: string example: Published Date - Nov 25,2019 description: Initial version release - input: - type:object - properties: - x_api_key: - x-name: x_api_key - type: string - description: x_api_key - example: xxxxxxxxx - default: false + input: + type : object + required: + - x_api_key + properties: + x_api_key: + x-name: x_api_key + type: string + description: x_api_key + example: xxxxxxxxx + default: false securitySchemes: APIAuthorizer: type: apiKey From b85396e37b865a26458bdb9bc8047f0e804428b0 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:50:09 +0530 Subject: [PATCH 5646/5916] Update org_getfunctionlist.yaml --- platform_functions/org_getfunctionlist.yaml | 42 ++++++++++++--------- 1 file changed, 24 insertions(+), 18 deletions(-) diff --git a/platform_functions/org_getfunctionlist.yaml b/platform_functions/org_getfunctionlist.yaml index 5a01d7039..56f592f1f 100644 --- a/platform_functions/org_getfunctionlist.yaml +++ b/platform_functions/org_getfunctionlist.yaml @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -108,24 +114,24 @@ components: - type: string example: Published Date - Sep 6,2021 description: Initial version release - input: - type: object: - required: - - owner_id - - type - properties: - owner_id: - x-name: owner_id - type: integer - required: false - description: Owner Id - example: "1" - type: - x-name: type - type: string - required: false - description: API or Function Type - example: "apis" + input: + type: object + required: + - owner_id + - type + properties: + owner_id: + x-name: owner_id + type: integer + default: False + description: Owner Id + example: "1" + type: + x-name: type + type: string + default: False + description: API or Function Type + example: "apis" securitySchemes: APIAuthorizer: type: apiKey From 26afad36f50c7ace15805f7c815628eecf9a96b7 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:55:12 +0530 Subject: [PATCH 5647/5916] Update org_removefunctionfromgroup.yaml --- .../org_removefunctionfromgroup.yaml | 26 ++++++++++++------- 1 file changed, 16 insertions(+), 10 deletions(-) diff --git a/platform_functions/org_removefunctionfromgroup.yaml b/platform_functions/org_removefunctionfromgroup.yaml index bc6e895be..d5d828973 100644 --- a/platform_functions/org_removefunctionfromgroup.yaml +++ b/platform_functions/org_removefunctionfromgroup.yaml @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -108,17 +114,17 @@ components: - type: string example: Published Date - Sep 6,2021 description: Initial version release - input: - type: object - required: + input: + type: object + required: - function_group_id - properties: - function_group_id: - x-name: function_group_id - type: integer - required: true - description: Function Group Id. Initially to get Group Id. Refer to Group List API to get the group id(results.group_id) details. To get function_group_id, Refer to View Group Details API to get the id from (result.group_function.id) details for any particular function. - example: "66934" + properties: + function_group_id: + x-name: function_group_id + type: integer + default: true + description: Function Group Id. Initially to get Group Id. Refer to Group List API to get the group id(results.group_id) details. To get function_group_id, Refer to View Group Details API to get the id from (result.group_function.id) details for any particular function. + example: "66934" securitySchemes: APIAuthorizer: type: apiKey From c5373de8604d4bf0ad7aa766927cadc3dd8f366f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 12:56:40 +0530 Subject: [PATCH 5648/5916] Update org_removeuserfromfunction.yaml --- .../org_removeuserfromfunction.yaml | 28 +++++++++++-------- 1 file changed, 17 insertions(+), 11 deletions(-) diff --git a/platform_functions/org_removeuserfromfunction.yaml b/platform_functions/org_removeuserfromfunction.yaml index 84ed14422..7f6678f34 100644 --- a/platform_functions/org_removeuserfromfunction.yaml +++ b/platform_functions/org_removeuserfromfunction.yaml @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -108,17 +114,17 @@ components: - type: string example: Published Date - Sep 6,2021 description: Initial version release - input: - type: object - required: - - user_function_id - properties: - user_function_id: - x-name: user_function_id - type: integer - required: true - description: User Function Id. Initially to get User Id. Refer to User List API to get the user id(results.user_id) details. To get user_function_id, Refer to View User Details API to get the id from (results.direct_function.id) details for any particular function. - example: "66934" + input: + type: object + required: + - user_function_id + properties: + user_function_id: + x-name: user_function_id + type: integer + default: true + description: User Function Id. Initially to get User Id. Refer to User List API to get the user id(results.user_id) details. To get user_function_id, Refer to View User Details API to get the id from (results.direct_function.id) details for any particular function. + example: "66934" securitySchemes: APIAuthorizer: type: apiKey From 408e27f86c245bd5d5f64f25c212767250d1830f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 13:08:07 +0530 Subject: [PATCH 5649/5916] Update org_removeuserfromgroup.yaml --- .../org_removeuserfromgroup.yaml | 22 +++++++++++++------ 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/platform_functions/org_removeuserfromgroup.yaml b/platform_functions/org_removeuserfromgroup.yaml index 92bc2b0cd..4df50d619 100644 --- a/platform_functions/org_removeuserfromgroup.yaml +++ b/platform_functions/org_removeuserfromgroup.yaml @@ -5,7 +5,7 @@ info: x-subscribelink: remove_group_from_user version: '0.1.0' servers: - - url: 'https://dev-microserviceapi-org.sentient.io' + - url: 'https://platform-apis-org.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Nov 1, 2021" @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -107,14 +113,16 @@ components: oneOf: - type: string example: Published Date - Nov 1,2021 - description: Initial version release - input: - type: object - properties: + description: Initial version release + input: + type: object + required: + - user_group_id + properties: user_group_id: - name: user_group_id + x-name: user_group_id type: integer - required: true + default: true description: User Group Id. Refer to View User Details API to get the user group id (results.groups.id) details. example: "1" securitySchemes: From a0fd777a1c9a585085f38f91c722971366b70626 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 13:10:10 +0530 Subject: [PATCH 5650/5916] Update org_subscription.yaml --- platform_functions/org_subscription.yaml | 183 ++++++++++++++++++++--- 1 file changed, 165 insertions(+), 18 deletions(-) diff --git a/platform_functions/org_subscription.yaml b/platform_functions/org_subscription.yaml index 090d1a8a5..377ee0582 100644 --- a/platform_functions/org_subscription.yaml +++ b/platform_functions/org_subscription.yaml @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -108,24 +114,165 @@ components: - type: string example: Published Date - Sep 6,2021 description: Initial version release - input: - type: object - required: - - key - - value - properties: - key: - x-name: key - type: string - required: true - description: Keys of either Function Id or Function Code. - example: "function_id or function_code" - value: - x-name: value - type: string - required: true - description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. - example: "217 or WEBSCRAPING" + input: + type: object + required: + - key + - value + properties: + key: + x-name: key + type: string + default: True + description: Keys of either Function Id or Function Code. + example: "function_id or function_code" + value: + x-name: value + type: string + default: True + description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. + example: "217 or WEBSCRAPING" + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header. +openapi: 3.0.1 +info: + title: Subscribe To Microservice + description: This API provides operations to subscribe function to the users in your organization. + x-subscribelink: subscription + version: '0.1.0' +servers: + - url: 'https://dev-microserviceapi-org.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 6, 2021" +paths: + /org/v0/subscription: + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '415': + description: Invalid Input + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + example: Successfully Processed + description: The detail description on the status + status: + type: string + example: Success + description: The status of the API call Success/Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + versions: + type: object + properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 6,2021 + description: Initial version release + input: + type: object + required: + - key + - value + properties: + key: + x-name: key + type: string + default: True + description: Keys of either Function Id or Function Code. + example: "function_id or function_code" + value: + x-name: value + type: string + default: True + description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. + example: "217 or WEBSCRAPING" securitySchemes: APIAuthorizer: type: apiKey From 5c85a891a787bdaffba51867e18742fe5b0889d1 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 13:11:42 +0530 Subject: [PATCH 5651/5916] Update org_unsubscription.yaml --- platform_functions/org_unsubscription.yaml | 38 +++++++++++++--------- 1 file changed, 22 insertions(+), 16 deletions(-) diff --git a/platform_functions/org_unsubscription.yaml b/platform_functions/org_unsubscription.yaml index d9daf28cf..a366f13ea 100644 --- a/platform_functions/org_unsubscription.yaml +++ b/platform_functions/org_unsubscription.yaml @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -108,24 +114,24 @@ components: - type: string example: Published Date - Sep 6,2021 description: Initial version release - input: - type: object - required: + input: + type: object + required: - key - value - properties: - key: - x-name: key - type: string - required: true - description: Keys of either Function Id or Function Code. - example: "function_id or function_code" - value: - x-name: value - type: string - required: true - description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. - example: "217 or WEBSCRAPING" + properties: + key: + x-name: key + type: string + default: true + description: Keys of either Function Id or Function Code. + example: "function_id or function_code" + value: + x-name: value + type: string + default: true + description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. + example: "217 or WEBSCRAPING" securitySchemes: APIAuthorizer: type: apiKey From 1fee5176fc3c14b7e67c9dc3adffd2c3bd3a1889 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 13:17:55 +0530 Subject: [PATCH 5652/5916] Update org_getgroupinfo.yaml --- platform_functions/org_getgroupinfo.yaml | 27 +++++++++++++++--------- 1 file changed, 17 insertions(+), 10 deletions(-) diff --git a/platform_functions/org_getgroupinfo.yaml b/platform_functions/org_getgroupinfo.yaml index 96f384094..300dfff68 100644 --- a/platform_functions/org_getgroupinfo.yaml +++ b/platform_functions/org_getgroupinfo.yaml @@ -1,4 +1,3 @@ - openapi: 3.0.1 info: title: View Group Details @@ -68,6 +67,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -185,15 +190,17 @@ components: - type: string example: Published Date - Jul 09,2021 description: Initial version release - input: - type: object - properties: - group_id: - x-name: group_id - type: integer - required: true - description: Group Id. Refer to Group List API to get the group id(results.group_id) details. - example: "253" + input: + type: object + required: + - group_id + properties: + group_id: + x-name: group_id + type: integer + default: true + description: Group Id. Refer to Group List API to get the group id(results.group_id) details. + example: "253" securitySchemes: APIAuthorizer: type: apiKey From e0c605301294a6d8125ff07ea8744d03918eef56 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 13:20:28 +0530 Subject: [PATCH 5653/5916] Update org_getuserinfo.yaml --- platform_functions/org_getuserinfo.yaml | 26 ++++++++++++++++--------- 1 file changed, 17 insertions(+), 9 deletions(-) diff --git a/platform_functions/org_getuserinfo.yaml b/platform_functions/org_getuserinfo.yaml index 8c04a74b6..e389cbce7 100644 --- a/platform_functions/org_getuserinfo.yaml +++ b/platform_functions/org_getuserinfo.yaml @@ -63,6 +63,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -182,15 +188,17 @@ components: - type: string example: Published Date - Jul 09,2019 description: Initial version release - input: - type: object - properties: - user_id: - x-name: user_id - type: integer - description: Default it will be based on api key user details. For User Id, Refer to User List API to get the user id (results.user_id) details. - example: "1334" - default: false + input: + type: object + required: + - user_id + properties: + user_id: + x-name: user_id + type: integer + description: Default it will be based on api key user details. For User Id, Refer to User List API to get the user id (results.user_id) details. + example: "1334" + default: false securitySchemes: APIAuthorizer: type: apiKey From 303ceb59f2c977c5730a57e990503f8897b3a6c9 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 4 Jan 2023 13:22:30 +0530 Subject: [PATCH 5654/5916] Update org_subscription.yaml --- platform_functions/org_subscription.yaml | 141 ----------------------- 1 file changed, 141 deletions(-) diff --git a/platform_functions/org_subscription.yaml b/platform_functions/org_subscription.yaml index 377ee0582..e18d89429 100644 --- a/platform_functions/org_subscription.yaml +++ b/platform_functions/org_subscription.yaml @@ -139,144 +139,3 @@ components: in: header x-amazon-apigateway-authtype: custom description: Authentication is done using the x-api-key in the request header. -openapi: 3.0.1 -info: - title: Subscribe To Microservice - description: This API provides operations to subscribe function to the users in your organization. - x-subscribelink: subscription - version: '0.1.0' -servers: - - url: 'https://dev-microserviceapi-org.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 6, 2021" -paths: - /org/v0/subscription: - post: - tags: - - v0.1.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '415': - description: Invalid Input - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - message: - type: string - example: Successfully Processed - description: The detail description on the status - status: - type: string - example: Success - description: The status of the API call Success/Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - versions: - type: object - properties: - v1.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 6,2021 - description: Initial version release - input: - type: object - required: - - key - - value - properties: - key: - x-name: key - type: string - default: True - description: Keys of either Function Id or Function Code. - example: "function_id or function_code" - value: - x-name: value - type: string - default: True - description: Value of Funtion Id or Function Code. To get Function Id, Refer to Assign Functions API to get the function id (result.function_id) details. - example: "217 or WEBSCRAPING" - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header. From b50e7418e37b2859ff42c0a9ab0a348d0df30b36 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 6 Jan 2023 12:53:09 +0530 Subject: [PATCH 5655/5916] Delete tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/tsaiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 7dc06bd6a0106c97b62b0a721f3b3855202d24a6 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Fri, 6 Jan 2023 11:47:56 +0000 Subject: [PATCH 5656/5916] commit from onboarding tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/tsaiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 01523910bc0dd7b700357934291d1b0ea837a4f5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 9 Jan 2023 10:59:55 +0530 Subject: [PATCH 5657/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 09cb4b8ae..a3dde531c 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -130,7 +130,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 20, 2022" From 5cb15564c692f7c27bc0fe725f5b40e63062f2f4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 9 Jan 2023 11:31:30 +0530 Subject: [PATCH 5658/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index a3dde531c..09cb4b8ae 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -130,7 +130,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 20, 2022" From 556ec03cc7c30faa3c7b8b0037ecdbc8e4f05d97 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 9 Jan 2023 11:49:40 +0530 Subject: [PATCH 5659/5916] Delete tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/tsaiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 1d53b75355a601f96a3b83b11c3876630587257f Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Mon, 9 Jan 2023 07:11:42 +0000 Subject: [PATCH 5660/5916] commit from onboarding tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/tsaiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 8112b731a8b8e151e864379113171d8152be87f6 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 10 Jan 2023 11:13:44 +0800 Subject: [PATCH 5661/5916] Updated fetch amenity score yaml --- data/hdb_amenities_score.yaml | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/data/hdb_amenities_score.yaml b/data/hdb_amenities_score.yaml index 390bde824..8f2b8b238 100644 --- a/data/hdb_amenities_score.yaml +++ b/data/hdb_amenities_score.yaml @@ -4,7 +4,7 @@ info: title: HDB Amenities Score description: |+ This Data microservice returns amenity scores for various amenity types with an input of a Singapore postal code. - version: v0.2.0 + version: v0.2.1 x-subscribelink: hdb_amenities_score x-apitype: small file x-apitypedescription: |+ @@ -20,15 +20,15 @@ info: x-apidetailsdesc: |+ Provides amenity scores for various amenity types with an input of a Singapore postal code. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.2.0" - description: "Published Date - Jul 13, 2022" +- name: "v0.2.1" + description: "Published Date - Jan 10, 2023" paths: /microservices/data/fetchamenityscore/v0/getpredictions: post: tags: - - v0.2.0 + - v0.2.1 responses: '200': description: success response @@ -281,6 +281,14 @@ components: versions: type: object properties: + v0.2.1: + type: array + items: + oneOf: + - type: string + example: Published Date - Jan 10, 2023 + x-details: Error handler fix + description: Latest Version v0.2.0: type: array items: @@ -288,7 +296,7 @@ components: - type: string example: Published Date - Jul 13, 2022 x-details: Fast conversion - description: Latest Version + description: Fast conversion v0.1.0: type: array items: From df01c2ed7be0cb2a4348c22fa3e466b3a96dba95 Mon Sep 17 00:00:00 2001 From: divya Date: Tue, 10 Jan 2023 12:54:54 +0800 Subject: [PATCH 5662/5916] Fetch amenity score yaml updated --- data/hdb_amenities_score.yaml | 16 ++++------------ 1 file changed, 4 insertions(+), 12 deletions(-) diff --git a/data/hdb_amenities_score.yaml b/data/hdb_amenities_score.yaml index 8f2b8b238..73fae37ae 100644 --- a/data/hdb_amenities_score.yaml +++ b/data/hdb_amenities_score.yaml @@ -4,7 +4,7 @@ info: title: HDB Amenities Score description: |+ This Data microservice returns amenity scores for various amenity types with an input of a Singapore postal code. - version: v0.2.1 + version: v0.1.1 x-subscribelink: hdb_amenities_score x-apitype: small file x-apitypedescription: |+ @@ -22,13 +22,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.2.1" +- name: "v0.1.1" description: "Published Date - Jan 10, 2023" paths: /microservices/data/fetchamenityscore/v0/getpredictions: post: tags: - - v0.2.1 + - v0.1.1 responses: '200': description: success response @@ -281,7 +281,7 @@ components: versions: type: object properties: - v0.2.1: + v0.1.1: type: array items: oneOf: @@ -289,14 +289,6 @@ components: example: Published Date - Jan 10, 2023 x-details: Error handler fix description: Latest Version - v0.2.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Jul 13, 2022 - x-details: Fast conversion - description: Fast conversion v0.1.0: type: array items: From b850b7c323c394bfaf337cc08eafe672e0b925ce Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 11 Jan 2023 15:46:13 +0530 Subject: [PATCH 5663/5916] Update asr_training_pipeline.yaml --- voice/asr_training_pipeline.yaml | 30 +++++++++++++++++++++--------- 1 file changed, 21 insertions(+), 9 deletions(-) diff --git a/voice/asr_training_pipeline.yaml b/voice/asr_training_pipeline.yaml index 3b72bb1a0..1ffc163bb 100644 --- a/voice/asr_training_pipeline.yaml +++ b/voice/asr_training_pipeline.yaml @@ -1,13 +1,13 @@ openapi: 3.0.1 info: - title: ASR Training Pipeline Beta + title: ASR Training Test description: |+ Testing. x-additionalinfo: |+ Test - version: '2.0.0' - x-subscribelink: asr_training_pipeline + version: '0.1.0' + x-subscribelink: asr_training_test x-apitype: large file x-apitypedescription: |+ Asyncronous | Batch | 2GB/File. @@ -24,7 +24,7 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v2.0.0" +- name: "v0.1.0" description: "Published Date - Dec 30, 2022" paths: /async/microservices/trainingpipeline/asrtraining/v2/getuploadurl: @@ -32,7 +32,7 @@ paths: Get the pre-signed url to upload the file. post: tags: - - v2.0.0 + - v0.1.0 responses: '200': description: Ok @@ -131,10 +131,10 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/onboarding_models' description: Override base path for the GET /ping operation tags: - - v2.0.0 + - v1.0.0 requestBody: content: multipart/form-data: @@ -155,7 +155,7 @@ paths: Query for processing status. get: tags: - - v2.0.0 + - v1.0.0 parameters: - in: query name: jid @@ -410,7 +410,7 @@ components: versions: type: object properties: - v2.0.0: + v0.1.0: type: array items: oneOf: @@ -552,6 +552,18 @@ components: default: false example: 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 description: Fields + jid: + type: string + example: 1991d4936ddb4728afaa06cb260b0253... + description: Google algorithm + request_cost: + type: string + example: 0 + description: Google algorithm + url: + type: string + example: https://storage.googleapis.com/onboarding_models/ + description: Google algorithm securitySchemes: APIAuthorizer: type: apiKey From 0c1893a16b29e188f3ae8e26e6f80bd8cb56668f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 11 Jan 2023 15:54:30 +0530 Subject: [PATCH 5664/5916] Update asr_training_pipeline.yaml --- voice/asr_training_pipeline.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_training_pipeline.yaml b/voice/asr_training_pipeline.yaml index 1ffc163bb..1cd094187 100644 --- a/voice/asr_training_pipeline.yaml +++ b/voice/asr_training_pipeline.yaml @@ -1,6 +1,6 @@ openapi: 3.0.1 info: - title: ASR Training Test + title: ASR Training Pipeline Beta description: |+ Testing. x-additionalinfo: |+ From 2a8148e32bfe8982bea85cfe082677d8a873c178 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 11 Jan 2023 16:39:29 +0530 Subject: [PATCH 5665/5916] Update asr_training_pipeline.yaml --- voice/asr_training_pipeline.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/asr_training_pipeline.yaml b/voice/asr_training_pipeline.yaml index 1cd094187..792bd7427 100644 --- a/voice/asr_training_pipeline.yaml +++ b/voice/asr_training_pipeline.yaml @@ -62,7 +62,7 @@ paths: 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 jid: e4ff367c93664fb9acfa40d9a4c6e43f request_cost: 0.3323 - url: 'https://storage.googleapis.com/user_space_dev/' + url: 'https://storage.googleapis.com/onboarding_models/' status: Success '401': description: Unauthorized @@ -131,7 +131,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/onboarding_models' + - url: 'https://storage.googleapis.com/onboarding_models/' description: Override base path for the GET /ping operation tags: - v1.0.0 @@ -172,7 +172,7 @@ paths: example: last_updated: 'Dec 20, 2021' message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + output_url: https://storage.googleapis.com/onboarding_models/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.3323 status: Success From 3858de6c4ebbfc1d63f7e6f9f4b4f96e9f41a942 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 11 Jan 2023 18:30:39 +0530 Subject: [PATCH 5666/5916] Update asr_training_pipeline.yaml --- voice/asr_training_pipeline.yaml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/voice/asr_training_pipeline.yaml b/voice/asr_training_pipeline.yaml index 792bd7427..365f34db5 100644 --- a/voice/asr_training_pipeline.yaml +++ b/voice/asr_training_pipeline.yaml @@ -172,7 +172,7 @@ paths: example: last_updated: 'Dec 20, 2021' message: Successfully Processed - output_url: https://storage.googleapis.com/onboarding_models/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.3323 status: Success @@ -463,11 +463,10 @@ components: x-name: content_type type: string default: true - example: 'audio/zip' + example: 'application/zip' description: |+ Specify the content-type. Pick any one from below list based on input file type. - ["audio/wav","audio/aac","audio/midi","audio/x-midi","audio/mpeg","audio/opus", - "audio/webm","audio/3gpp","audio/3gpp2","audio/x-wav"] + ["application/wav"] model_type: x-name: model_type type: string From 112dc4024b5b18fbaf524c25efa7a27fc9f3130b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 11 Jan 2023 18:50:55 +0530 Subject: [PATCH 5667/5916] Update asr_training_pipeline.yaml --- voice/asr_training_pipeline.yaml | 9 ++------- 1 file changed, 2 insertions(+), 7 deletions(-) diff --git a/voice/asr_training_pipeline.yaml b/voice/asr_training_pipeline.yaml index 365f34db5..4dc128469 100644 --- a/voice/asr_training_pipeline.yaml +++ b/voice/asr_training_pipeline.yaml @@ -172,7 +172,7 @@ paths: example: last_updated: 'Dec 20, 2021' message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + output_url: https://storage.googleapis.com/onboarding_models/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 request_cost: 0.3323 status: Success @@ -320,7 +320,7 @@ components: description: Google algorithm url: type: string - example: https://storage.googleapis.com/user_space_dev/ + example: https://storage.googleapis.com/onboarding_models/ description: Google algorithm status: type: string @@ -520,11 +520,6 @@ components: type: string default: false example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" description: Fields x-goog-meta-oid: type: string From baf19614fe7cf7d6d7969a0c0fdec859232e5436 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 11 Jan 2023 19:06:08 +0530 Subject: [PATCH 5668/5916] Update asr_training_pipeline.yaml --- voice/asr_training_pipeline.yaml | 105 +++++++++++++------------------ 1 file changed, 44 insertions(+), 61 deletions(-) diff --git a/voice/asr_training_pipeline.yaml b/voice/asr_training_pipeline.yaml index 4dc128469..684643338 100644 --- a/voice/asr_training_pipeline.yaml +++ b/voice/asr_training_pipeline.yaml @@ -2,30 +2,35 @@ openapi: 3.0.1 info: title: ASR Training Pipeline Beta description: |+ - Testing. - x-additionalinfo: |+ - Test - + This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. + This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. version: '0.1.0' - x-subscribelink: asr_training_test + x-additionalinfo: |+ + Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: + + - Detailed reference to the additional parameters https://docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng + - The file upload form https://sentient.io/upload/form.html + x-tutorial-pdf-doc: + https://storage.googleapis.com/lpdocs/docs/vadasreng.pdf + x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ - Asyncronous | Batch | 2GB/File. + Asyncronous | Batch | 1GB/File. x-inputfilelimit: |+ - Process up to 2 GB of File Size. + Process up to 1 GB of File Size. x-responsetime: |+ - The response rate is slower than the small file API due to large data. + The response rate is slower than the small file API due to large data x-billingmethod: |+ The API is billed by the amount of data transferred. x-notes: |+ - Size cannot exceed 2 GB. + Size cannot exceed 1 GB. x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 30, 2022" + description: "Depreciation Date - May 31, 2022" paths: /async/microservices/trainingpipeline/asrtraining/v2/getuploadurl: description: |+ @@ -40,29 +45,23 @@ paths: application/json: schema: $ref: '#/components/schemas/success' - example: + example: message: Successfully Processed results: fields: content-type: audio/wav - key: >- - 309/495/lp-asr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav - policy: >- - 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 + key: 1813/1813/2592/asrtraining/v2/input/test_model_lessmem.zip + policy: 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 x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request - x-goog-date: 20211220T044135Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 - x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f - x-goog-signature: >- - 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 - jid: e4ff367c93664fb9acfa40d9a4c6e43f - request_cost: 0.3323 - url: 'https://storage.googleapis.com/onboarding_models/' + x-goog-credential: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20230111/auto/storage/goog4_request + x-goog-date: 20230111T132602Z + x-goog-meta-oid: '1813' + x-goog-meta-uid: '2592' + x-goog-meta-uploader: 'e38694ec4e3a4416b4adfe53a868225a' + x-goog-meta-uuid: 3d6d3881433e44509328850e32aea560 + x-goog-signature: 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 + request_cost: 0.1019 + url: https://storage.googleapis.com/onboarding_models/ status: Success '401': description: Unauthorized @@ -134,7 +133,7 @@ paths: - url: 'https://storage.googleapis.com/onboarding_models/' description: Override base path for the GET /ping operation tags: - - v1.0.0 + - v0.1.0 requestBody: content: multipart/form-data: @@ -155,7 +154,7 @@ paths: Query for processing status. get: tags: - - v1.0.0 + - v0.1.0 parameters: - in: query name: jid @@ -170,10 +169,9 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: 'Dec 20, 2021' message: Successfully Processed - output_url: https://storage.googleapis.com/onboarding_models/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.3323 + docs_url: https://storage.googleapis.com/user_space_dev + request_cost: 0.0298 status: Success '401': @@ -237,10 +235,6 @@ components: getsuccess: type: object properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated message: type: string example: File Processing Successfully Started @@ -272,7 +266,7 @@ components: properties: content-type: type: string - example: text/plain + example: application/zip description: Content type of the document policy: type: string @@ -409,19 +403,20 @@ components: example: Failure versions: type: object - properties: + properties: v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Dec 30, 2022 + example: Published Date - Dec 30, 2021 x-details: Initial version release description: Latest Version input: type: object required: - file_name + - additional_param properties: file_name: x-name: file_name @@ -483,23 +478,23 @@ components: uploadinput: type: object required: - - filePath + - file properties: file: type: string format: binary default: true - example: sample.wav + example: test_model_lessmem.zip description: file content-type: type: string default: false - example: audio/wav + example: application/zip description: Fields key: type: string default: false - example: 309/495/lp-asr/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav + example: 1813/1813/2592/asrtraining/v2/input/test_model_lessmem.zip description: Fields policy: type: string @@ -514,22 +509,22 @@ components: x-goog-credential: type: string default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request + example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20230111/auto/storage/goog4_request description: Fields x-goog-date: type: string default: false example: 20220224T045625Z - description: Fields + description: Fields x-goog-meta-oid: type: string default: false - example: 309 + example: 1813 description: Fields x-goog-meta-uid: type: string default: false - example: 495 + example: 2592 description: Fields x-goog-meta-uploader: type: string @@ -545,19 +540,7 @@ components: type: string default: false example: 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 - description: Fields - jid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253... - description: Google algorithm - request_cost: - type: string - example: 0 - description: Google algorithm - url: - type: string - example: https://storage.googleapis.com/onboarding_models/ - description: Google algorithm + description: Fields securitySchemes: APIAuthorizer: type: apiKey From cbc34f23a243e192f1de364f0700945ca786be2f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 11 Jan 2023 19:07:08 +0530 Subject: [PATCH 5669/5916] Update asr_training_pipeline.yaml --- voice/asr_training_pipeline.yaml | 7 ------- 1 file changed, 7 deletions(-) diff --git a/voice/asr_training_pipeline.yaml b/voice/asr_training_pipeline.yaml index 684643338..1739351e9 100644 --- a/voice/asr_training_pipeline.yaml +++ b/voice/asr_training_pipeline.yaml @@ -5,13 +5,6 @@ info: This Voice microservice combines Voice Activity Detection feature and Automatic Speech Recognition capabilities. It detects speech in an audio file (.wav format) and transcribes English speech content from the audio stream into text. The transcript text is timestamped for each utterance. An utterance is a continuous piece of speech beginning and ending with a clear pause. This microservice can be used on generic English or on specific use cases or accents. There are currently additional models available for Singaporean-accented for prepared speech (16kHz) or telephony (8kHz). For best performance, select the model which best matches the use-case. version: '0.1.0' - x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. The guide below provides detailed steps to try out processing a large file without any coding. You may also need: - - - Detailed reference to the additional parameters https://docs.sentient.io/#/voice/asr_with_voice_activity_detection_eng - - The file upload form https://sentient.io/upload/form.html - x-tutorial-pdf-doc: - https://storage.googleapis.com/lpdocs/docs/vadasreng.pdf x-subscribelink: asr_with_voice_activity_detection_eng x-apitype: large file x-apitypedescription: |+ From b108fec923aa56d04beef3010cb0795f728cf336 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 12 Jan 2023 09:12:02 +0530 Subject: [PATCH 5670/5916] Delete tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ------------------ 1 file changed, 251 deletions(-) delete mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml deleted file mode 100644 index d52372a50..000000000 --- a/voice/tsaiorg_automatic_speech_recognition_eng.yaml +++ /dev/null @@ -1,251 +0,0 @@ - -openapi: 3.0.1 -info: - title: TS Aiorg Automatic Speech Recognition ENG - description: |+ - Enhance speech signal by removing background noise.
- Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
- Thus speech enchancement can be a useful microservice for many applications.
- The length of your audio **should not exceed 180 seconds**. - x-additionalinfo : |+ - Suggested Use Cases: - - Supports the following audio coding formats: WAV files and 16-bit mono.

- - Supports the following audio sampling rates: 16,000 Hz.

- version: 1.4.0 - x-subscribelink: speech_enhancement - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 180sec/Call - x-inputfilelimit: |+ - Process up to 180 seconds (3 minutes) of audio file. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 180 seconds (3 minutes). - x-apidetailsdesc: |+ - Supports recognizing short speech and returns the recognition for Small Files. -servers: - - url: 'https://apis.sentient.io' -tags: -- name: "v0.1.0" - description: "Published Date - Sep 20, 2022" -paths: - /microservices/voice/speechenhancement/v0/getpredictions: - post: - tags: - - v0.1.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - wav_base64: - description: Generated audio wav file encoded in base64 format - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - type: string - format: byte - - message: - type: string - example: Successfully Processed - description: Description of the API status - status: - type: string - example: Success - description: The status of the API call - success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: 'Published Date - Sep 20,2022' - x-details: Initial version release - description: Latest Version - input: - type: object - required: - - - wav_base64 - - properties: - wav_base64: - x-name: wav_base64 - type: string - format: byte - default: true - example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... - description: - Input audio wav file in base64 format. - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header \ No newline at end of file From a966ea6e27c3017b487b291211484e85f7abfea6 Mon Sep 17 00:00:00 2001 From: rameshsentient Date: Thu, 12 Jan 2023 04:23:27 +0000 Subject: [PATCH 5671/5916] commit from onboarding tsaiorg_automatic_speech_recognition_eng.yaml --- ...iorg_automatic_speech_recognition_eng.yaml | 251 ++++++++++++++++++ 1 file changed, 251 insertions(+) create mode 100644 voice/tsaiorg_automatic_speech_recognition_eng.yaml diff --git a/voice/tsaiorg_automatic_speech_recognition_eng.yaml b/voice/tsaiorg_automatic_speech_recognition_eng.yaml new file mode 100644 index 000000000..d52372a50 --- /dev/null +++ b/voice/tsaiorg_automatic_speech_recognition_eng.yaml @@ -0,0 +1,251 @@ + +openapi: 3.0.1 +info: + title: TS Aiorg Automatic Speech Recognition ENG + description: |+ + Enhance speech signal by removing background noise.
+ Most recorded conversational speech signal contains some form of noise that hinders intelligibility, such as background noise, reverb, music, keyboard typing, etc.
+ Thus speech enchancement can be a useful microservice for many applications.
+ The length of your audio **should not exceed 180 seconds**. + x-additionalinfo : |+ + Suggested Use Cases: + - Supports the following audio coding formats: WAV files and 16-bit mono.

+ - Supports the following audio sampling rates: 16,000 Hz.

+ version: 1.4.0 + x-subscribelink: speech_enhancement + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 180sec/Call + x-inputfilelimit: |+ + Process up to 180 seconds (3 minutes) of audio file. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 180 seconds (3 minutes). + x-apidetailsdesc: |+ + Supports recognizing short speech and returns the recognition for Small Files. +servers: + - url: 'https://apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - Sep 20, 2022" +paths: + /microservices/voice/speechenhancement/v0/getpredictions: + post: + tags: + - v0.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + wav_base64: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + wav_base64: + description: Generated audio wav file encoded in base64 format + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + type: string + format: byte + + message: + type: string + example: Successfully Processed + description: Description of the API status + status: + type: string + example: Success + description: The status of the API call - success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: 'Published Date - Sep 20,2022' + x-details: Initial version release + description: Latest Version + input: + type: object + required: + + - wav_base64 + + properties: + wav_base64: + x-name: wav_base64 + type: string + format: byte + default: true + example: UklGRpxNHQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAT ... + description: + Input audio wav file in base64 format. + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header \ No newline at end of file From 91ec2b8c1cc4383c09f499515afb13de47e57da0 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 12 Jan 2023 12:28:51 +0530 Subject: [PATCH 5672/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index bf22fe8d1..2efa78189 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -27,7 +27,7 @@ info: x-apidetailsdesc: |+ Extracts text content from pdf docs. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Nov 14, 2022" From 2e24da47cadb3432f96d5fb934611cd33f6d1537 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 12 Jan 2023 15:33:16 +0530 Subject: [PATCH 5673/5916] Update pki_key_generator.yaml --- utility/pki_key_generator.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pki_key_generator.yaml b/utility/pki_key_generator.yaml index 02741c284..cfd2b4139 100644 --- a/utility/pki_key_generator.yaml +++ b/utility/pki_key_generator.yaml @@ -22,7 +22,7 @@ info: x-apidetailsdesc: |+ Generates a Public and Private key pair based on byte-length [1 to 5] servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Jun 20, 2022" From eb4cf75e3fa8a0d6bca639c7b9080e1f4f67f31e Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:17:15 +0530 Subject: [PATCH 5674/5916] Update org_getuserlist.yaml --- platform_functions/org_getuserlist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getuserlist.yaml b/platform_functions/org_getuserlist.yaml index 56089b440..7f9560169 100644 --- a/platform_functions/org_getuserlist.yaml +++ b/platform_functions/org_getuserlist.yaml @@ -8,7 +8,7 @@ servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 21, 2021" + description: "Published Date - July 09, 2021" paths: /org/v0/getuserlist: post: From abb6174ed1ccac052fffafec9136881ad5d3f095 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:24:49 +0530 Subject: [PATCH 5675/5916] Update org_getuserlist.yaml --- platform_functions/org_getuserlist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getuserlist.yaml b/platform_functions/org_getuserlist.yaml index 7f9560169..56089b440 100644 --- a/platform_functions/org_getuserlist.yaml +++ b/platform_functions/org_getuserlist.yaml @@ -8,7 +8,7 @@ servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - July 09, 2021" + description: "Published Date - May 21, 2021" paths: /org/v0/getuserlist: post: From 2f2d857d4f9f7a1399044740be229696ef5a7c56 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:28:58 +0530 Subject: [PATCH 5676/5916] Update org_getuserlist.yaml --- platform_functions/org_getuserlist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getuserlist.yaml b/platform_functions/org_getuserlist.yaml index 56089b440..ff21a3941 100644 --- a/platform_functions/org_getuserlist.yaml +++ b/platform_functions/org_getuserlist.yaml @@ -8,7 +8,7 @@ servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 21, 2021" + description: "Published Date - Jul 09, 2021" paths: /org/v0/getuserlist: post: From 292220670bba43254d08edcdd5cf49f276f1660f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:39:05 +0530 Subject: [PATCH 5677/5916] Update org_getuserinfo.yaml --- platform_functions/org_getuserinfo.yaml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_getuserinfo.yaml b/platform_functions/org_getuserinfo.yaml index e389cbce7..dfb690d4d 100644 --- a/platform_functions/org_getuserinfo.yaml +++ b/platform_functions/org_getuserinfo.yaml @@ -187,7 +187,10 @@ components: oneOf: - type: string example: Published Date - Jul 09,2019 - description: Initial version release + description: Initial version release + - type: string + example: Published Date - Jul 09,2019 + description: Initial version release input: type: object required: From 6c5ab6b3d8057fe4a0c1af20968f0675ab5063a5 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:42:02 +0530 Subject: [PATCH 5678/5916] Update org_getuserinfo.yaml --- platform_functions/org_getuserinfo.yaml | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/platform_functions/org_getuserinfo.yaml b/platform_functions/org_getuserinfo.yaml index dfb690d4d..c664a58b3 100644 --- a/platform_functions/org_getuserinfo.yaml +++ b/platform_functions/org_getuserinfo.yaml @@ -186,11 +186,8 @@ components: items: oneOf: - type: string - example: Published Date - Jul 09,2019 + example: Published Date - Jul 09,2021 description: Initial version release - - type: string - example: Published Date - Jul 09,2019 - description: Initial version release input: type: object required: From 4756ab6cb6469be371497a705d5ae64bec18556e Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:47:34 +0530 Subject: [PATCH 5679/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 91bceeec9..d6c764302 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -10,7 +10,7 @@ servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 21, 2021" + description: "Published Date - Jul 09, 2021" paths: /org/v0/getorginfo: post: From 11912939a28e7dfb46fb5428187e0383dd3b69f7 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:52:22 +0530 Subject: [PATCH 5680/5916] Update org_getdeletedorglist.yaml --- platform_functions/org_getdeletedorglist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getdeletedorglist.yaml b/platform_functions/org_getdeletedorglist.yaml index 9c3f6ea7c..07f887201 100644 --- a/platform_functions/org_getdeletedorglist.yaml +++ b/platform_functions/org_getdeletedorglist.yaml @@ -5191,7 +5191,7 @@ components: items: oneOf: - type: string - example: Published Date - Nov 25,2019 + example: Published Date - May 21,2021 description: Initial version release input: type : object From bde54f012079e722dc94ac30dc93af87047ddf2e Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:53:07 +0530 Subject: [PATCH 5681/5916] Update org_editorg.yaml --- platform_functions/org_editorg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_editorg.yaml b/platform_functions/org_editorg.yaml index d27fe665b..a4c59ff48 100644 --- a/platform_functions/org_editorg.yaml +++ b/platform_functions/org_editorg.yaml @@ -10,7 +10,7 @@ servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 12, 2021" + description: "Published Date - Jul 09, 2021" paths: /org/v0/editorg: post: From 03384528b92f588e4c7332a70eb89766b1c0fea5 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:53:45 +0530 Subject: [PATCH 5682/5916] Update org_deleteuser.yaml --- platform_functions/org_deleteuser.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_deleteuser.yaml b/platform_functions/org_deleteuser.yaml index 99e67e465..c549583f6 100644 --- a/platform_functions/org_deleteuser.yaml +++ b/platform_functions/org_deleteuser.yaml @@ -11,7 +11,7 @@ servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 21, 2021" + description: "Published Date - Jul 09, 2021" paths: /org/v0/deleteuser: post: From 4a64da465601fd4ef834293a54032cdc38482a0d Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 09:59:47 +0530 Subject: [PATCH 5683/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index b62135d87..a108b3bdb 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -3,11 +3,11 @@ info: title: Add User To Function description: This is an organization function and this API provides operations to assign function to users in your organization. x-subscribelink: add_user_to_function - version: '0.1.0' + version: 'v1.0.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: -- name: "v0.1.0" +- name: "v1.0.0" description: "Published Date - Sep 6, 2021" paths: /org/v0/addusertofunction: From e5053832a2b43bfef5191bd415564daa307574a5 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:00:37 +0530 Subject: [PATCH 5684/5916] Update org_addfunctiontogroup.yaml --- platform_functions/org_addfunctiontogroup.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_addfunctiontogroup.yaml b/platform_functions/org_addfunctiontogroup.yaml index 486e8403c..762ff4d2a 100644 --- a/platform_functions/org_addfunctiontogroup.yaml +++ b/platform_functions/org_addfunctiontogroup.yaml @@ -3,11 +3,11 @@ info: title: Add Function To Group description: This is an organization function and this API provides operations to manage functions in your organization group. x-subscribelink: add_function_to_group - version: '0.1.0' + version: 'v1.0.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: -- name: "v0.1.0" +- name: "v1.0.0" description: "Published Date - Sep 6, 2021" paths: /org/v0/addfunctiontogroup: From 151a3eb795813ef86e5241d42396f314fa5f7647 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:02:20 +0530 Subject: [PATCH 5685/5916] Update org_addusertogroup.yaml --- platform_functions/org_addusertogroup.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/platform_functions/org_addusertogroup.yaml b/platform_functions/org_addusertogroup.yaml index ebb4075ac..dc7b26b4e 100644 --- a/platform_functions/org_addusertogroup.yaml +++ b/platform_functions/org_addusertogroup.yaml @@ -3,7 +3,7 @@ info: title: Add Group To User description: This is an organization account function and this API provides operations to manage users in your organization. This API grants the specified user permissions to the specified group withing your organization. The user's access can be adjusted by using the admistrator user dashboard. x-subscribelink: add_user_to_group - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: @@ -107,12 +107,12 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: - type: string - example: Published Date - Nov 25,2019 + example: Published Date - May 21,2021 description: Initial version release input: type: object From df23a85f89728e7eb3192b38c0559e666d7c181f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:03:09 +0530 Subject: [PATCH 5686/5916] Update org_addfunctiontogroup.yaml --- platform_functions/org_addfunctiontogroup.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/platform_functions/org_addfunctiontogroup.yaml b/platform_functions/org_addfunctiontogroup.yaml index 762ff4d2a..613d5c9e8 100644 --- a/platform_functions/org_addfunctiontogroup.yaml +++ b/platform_functions/org_addfunctiontogroup.yaml @@ -3,11 +3,11 @@ info: title: Add Function To Group description: This is an organization function and this API provides operations to manage functions in your organization group. x-subscribelink: add_function_to_group - version: 'v1.0.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: -- name: "v1.0.0" +- name: "v0.1.0" description: "Published Date - Sep 6, 2021" paths: /org/v0/addfunctiontogroup: @@ -107,7 +107,7 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: From c7e1f32fd729db49fc416efcb3df1c105b1a13c1 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:04:38 +0530 Subject: [PATCH 5687/5916] Update org_addusertofunction.yaml --- platform_functions/org_addusertofunction.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/platform_functions/org_addusertofunction.yaml b/platform_functions/org_addusertofunction.yaml index a108b3bdb..c84b5d778 100644 --- a/platform_functions/org_addusertofunction.yaml +++ b/platform_functions/org_addusertofunction.yaml @@ -3,11 +3,11 @@ info: title: Add User To Function description: This is an organization function and this API provides operations to assign function to users in your organization. x-subscribelink: add_user_to_function - version: 'v1.0.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: -- name: "v1.0.0" +- name: "v0.1.0" description: "Published Date - Sep 6, 2021" paths: /org/v0/addusertofunction: @@ -107,7 +107,7 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: From 321f185f75788b448ee320cf332243c9623335f8 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:05:44 +0530 Subject: [PATCH 5688/5916] Update org_deletegroup.yaml --- platform_functions/org_deletegroup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_deletegroup.yaml b/platform_functions/org_deletegroup.yaml index 22f87abf1..643b600de 100644 --- a/platform_functions/org_deletegroup.yaml +++ b/platform_functions/org_deletegroup.yaml @@ -3,7 +3,7 @@ info: title: Delete Group description: This API provides operations to delete group of functions in your organization. x-subscribelink: delete_group - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From 473f699d2aa675747803c7c3314765b149804b73 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:06:11 +0530 Subject: [PATCH 5689/5916] Update org_deleteuser.yaml --- platform_functions/org_deleteuser.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_deleteuser.yaml b/platform_functions/org_deleteuser.yaml index c549583f6..7c2ea068a 100644 --- a/platform_functions/org_deleteuser.yaml +++ b/platform_functions/org_deleteuser.yaml @@ -6,7 +6,7 @@ info: Delete a user and transfer ownership of entities such as alerts, scheduled policies, and workflows from deleted user to another active user or an active user workflow.
The user can be deleted by using the admistrator user dashboard. x-subscribelink: delete_user_info - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From 05d20fcea035e76937595e4d7819fab1a6180523 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:07:14 +0530 Subject: [PATCH 5690/5916] Update org_getdeleteduserlist.yaml --- platform_functions/org_getdeleteduserlist.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_getdeleteduserlist.yaml b/platform_functions/org_getdeleteduserlist.yaml index e9913810d..afe27145b 100644 --- a/platform_functions/org_getdeleteduserlist.yaml +++ b/platform_functions/org_getdeleteduserlist.yaml @@ -3,7 +3,7 @@ info: title: List Deleted Users description: This API provides operations to retrieve the list of all deleted users inside in your organization. x-subscribelink: get_deleted_user_list - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: @@ -101,7 +101,7 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: From cb0db4e13f6a84f4e069431bbdeeae6e7cb08671 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:08:27 +0530 Subject: [PATCH 5691/5916] Update org_getorggrouplist.yaml --- platform_functions/org_getorggrouplist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getorggrouplist.yaml b/platform_functions/org_getorggrouplist.yaml index a808843c2..444dcf248 100644 --- a/platform_functions/org_getorggrouplist.yaml +++ b/platform_functions/org_getorggrouplist.yaml @@ -5,7 +5,7 @@ info: This API provides collection of API Metering graphs that lets you as an admin read and create group list data.
By using this API, a group admin can grant access to specific group list content and allow to publish content to the group list on behalf of the admin. x-subscribelink: org_group_list - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From 60abc9d0e38c4ff3560cb0f3e006ab1f8949d7b5 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:09:07 +0530 Subject: [PATCH 5692/5916] Update org_getorgassignfunctions.yaml --- platform_functions/org_getorgassignfunctions.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_getorgassignfunctions.yaml b/platform_functions/org_getorgassignfunctions.yaml index cbb49df2a..ee9e7b4b8 100644 --- a/platform_functions/org_getorgassignfunctions.yaml +++ b/platform_functions/org_getorgassignfunctions.yaml @@ -3,7 +3,7 @@ info: title: Assigned Functions description: This API provides operations to get functions inside their organization. x-subscribelink: get_org_assign_functions - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: @@ -101,7 +101,7 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: From 140f9677dbb1f942640640c6390ec03d0fc72d13 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:10:18 +0530 Subject: [PATCH 5693/5916] Update org_getdeletedorglist.yaml --- platform_functions/org_getdeletedorglist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getdeletedorglist.yaml b/platform_functions/org_getdeletedorglist.yaml index 07f887201..47578aab3 100644 --- a/platform_functions/org_getdeletedorglist.yaml +++ b/platform_functions/org_getdeletedorglist.yaml @@ -3,7 +3,7 @@ info: title: Deleted Org List description: Get deleted org list x-subscribelink: deleted_org_list - version: '1.0.0' + version: 'v1.0.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From a27179fa1c0384451c7dfdd623ca32f8ca62bb4e Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:11:00 +0530 Subject: [PATCH 5694/5916] Update org_getfunctionlist.yaml --- platform_functions/org_getfunctionlist.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_getfunctionlist.yaml b/platform_functions/org_getfunctionlist.yaml index 56f592f1f..9b8ad6ac6 100644 --- a/platform_functions/org_getfunctionlist.yaml +++ b/platform_functions/org_getfunctionlist.yaml @@ -3,7 +3,7 @@ info: title: Get Function List description: This API provides operations to get all the microservices, platform functions in your organization. x-subscribelink: get_function_list - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: @@ -107,7 +107,7 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: From 1f50361fde831f7671084cc250a5544dbba1851f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:11:48 +0530 Subject: [PATCH 5695/5916] Update org_refreshapikey.yaml --- platform_functions/org_refreshapikey.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_refreshapikey.yaml b/platform_functions/org_refreshapikey.yaml index 6675cb9e8..7f37331a6 100644 --- a/platform_functions/org_refreshapikey.yaml +++ b/platform_functions/org_refreshapikey.yaml @@ -8,7 +8,7 @@ servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 12, 2021" + description: "Published Date - Jul 09, 2021" paths: /org/v0/refreshapikey: post: From db55751d84d0b79debc1928a1e4f966a334017c9 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:12:57 +0530 Subject: [PATCH 5696/5916] Update org_removefunctionfromgroup.yaml --- platform_functions/org_removefunctionfromgroup.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_removefunctionfromgroup.yaml b/platform_functions/org_removefunctionfromgroup.yaml index d5d828973..0f141d60d 100644 --- a/platform_functions/org_removefunctionfromgroup.yaml +++ b/platform_functions/org_removefunctionfromgroup.yaml @@ -3,7 +3,7 @@ info: title: Remove Function From Group description: This API provides operations to manage groups in your organization. This API helps to remove the function from the group. x-subscribelink: remove_function_from_group - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: @@ -107,7 +107,7 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: From eb57db007e5e2e6249ad8408751712a85b9bc853 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:13:41 +0530 Subject: [PATCH 5697/5916] Update org_removeuserfromfunction.yaml --- platform_functions/org_removeuserfromfunction.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_removeuserfromfunction.yaml b/platform_functions/org_removeuserfromfunction.yaml index 7f6678f34..f965d3f94 100644 --- a/platform_functions/org_removeuserfromfunction.yaml +++ b/platform_functions/org_removeuserfromfunction.yaml @@ -3,7 +3,7 @@ info: title: Remove User From Function description: This API provides operations to remove the assigned function to users in your organization. x-subscribelink: remove_user_from_function - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: @@ -107,7 +107,7 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: From a156d473db1de900c5cd5a59fedae6159d181e5a Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:14:22 +0530 Subject: [PATCH 5698/5916] Update org_removeuserfromgroup.yaml --- platform_functions/org_removeuserfromgroup.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_removeuserfromgroup.yaml b/platform_functions/org_removeuserfromgroup.yaml index 4df50d619..f33b01f4b 100644 --- a/platform_functions/org_removeuserfromgroup.yaml +++ b/platform_functions/org_removeuserfromgroup.yaml @@ -3,7 +3,7 @@ info: title: Remove Group From User description: This API provides operations to remove assigned group in your organization. x-subscribelink: remove_group_from_user - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://platform-apis-org.sentient.io' tags: @@ -107,7 +107,7 @@ components: versions: type: object properties: - v1.0.0: + v0.1.0: type: array items: oneOf: From 0ef633c9951d15e142ddd064700a00f2fc9f26e2 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:15:21 +0530 Subject: [PATCH 5699/5916] Update org_subscribedmicroservices.yaml --- platform_functions/org_subscribedmicroservices.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_subscribedmicroservices.yaml b/platform_functions/org_subscribedmicroservices.yaml index 562a4d23b..89d7a8086 100644 --- a/platform_functions/org_subscribedmicroservices.yaml +++ b/platform_functions/org_subscribedmicroservices.yaml @@ -10,7 +10,7 @@ servers: - url: 'https://dev-microserviceapi-catalog.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 12, 2021" + description: "Published Date - Jul 09, 2021" paths: /v0/subscribedmicroservices: post: From 38555d1c320ae57207636993cc2636eba372d2a9 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:15:45 +0530 Subject: [PATCH 5700/5916] Update org_subscription.yaml --- platform_functions/org_subscription.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_subscription.yaml b/platform_functions/org_subscription.yaml index e18d89429..574df6237 100644 --- a/platform_functions/org_subscription.yaml +++ b/platform_functions/org_subscription.yaml @@ -3,7 +3,7 @@ info: title: Subscribe To Microservice description: This API provides operations to subscribe function to the users in your organization. x-subscribelink: subscription - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From 955d09a86995d6f88e011617e68e7df8947ae063 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:16:07 +0530 Subject: [PATCH 5701/5916] Update org_unsubscription.yaml --- platform_functions/org_unsubscription.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_unsubscription.yaml b/platform_functions/org_unsubscription.yaml index a366f13ea..edfa52e80 100644 --- a/platform_functions/org_unsubscription.yaml +++ b/platform_functions/org_unsubscription.yaml @@ -3,7 +3,7 @@ info: title: Unsubscribe From Microservice description: This API provides operations to unsubscribe function to the users in your organization. x-subscribelink: unsubscription - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From b8a043ea0aaf4fa89ebb5a21fb21939028393ba5 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:16:52 +0530 Subject: [PATCH 5702/5916] Update org_getuserlist.yaml --- platform_functions/org_getuserlist.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getuserlist.yaml b/platform_functions/org_getuserlist.yaml index ff21a3941..964c0d998 100644 --- a/platform_functions/org_getuserlist.yaml +++ b/platform_functions/org_getuserlist.yaml @@ -3,7 +3,7 @@ info: title: User List description: This API allows an orgonization admin to access user list inforamtion and data. x-subscribelink: user_list - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From 4e46722eb133138258edb1d81bc97fa9fffd0e6e Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:17:22 +0530 Subject: [PATCH 5703/5916] Update org_getgroupinfo.yaml --- platform_functions/org_getgroupinfo.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getgroupinfo.yaml b/platform_functions/org_getgroupinfo.yaml index 300dfff68..9a8612c4f 100644 --- a/platform_functions/org_getgroupinfo.yaml +++ b/platform_functions/org_getgroupinfo.yaml @@ -3,7 +3,7 @@ info: title: View Group Details description: This is an organization function and this API allow the user to view the group details of their Organization. By using this API, a group admin can get the required group details to assign a group or remove a function to/from the user. x-subscribelink: group_info - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From 1a463fad92fe0cc9db454a6348a86f241122677b Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:17:51 +0530 Subject: [PATCH 5704/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index d6c764302..486f549e8 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -5,7 +5,7 @@ info: This API provides collection of API Metering graphs that lets you as an admin read and create organization's data.
By using this API, an orgonization admin can grant access to orgonizational/groups/group lists, content and allow to publish content to the orgonization/groups/group lists on behalf of the admin. x-subscribelink: org_info - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From 356cda76a52b161a9d366b43332022601b3d423c Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:18:18 +0530 Subject: [PATCH 5705/5916] Update org_getuserinfo.yaml --- platform_functions/org_getuserinfo.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getuserinfo.yaml b/platform_functions/org_getuserinfo.yaml index c664a58b3..4b7fec0c3 100644 --- a/platform_functions/org_getuserinfo.yaml +++ b/platform_functions/org_getuserinfo.yaml @@ -3,7 +3,7 @@ info: title: View User Details description: This API allows an orgonization admin to access user inforamtion and data. x-subscribelink: user_info - version: '0.1.0' + version: 'v0.1.0' servers: - url: 'https://dev-microserviceapi-org.sentient.io' tags: From 3f014c9981aea7ce1997ba0c2dc07c7c3c4809b6 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:32:52 +0530 Subject: [PATCH 5706/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 486f549e8..8d5a65511 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -58,6 +58,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: From 0a09f6158aa691869c0702f61ac7941307be9e5b Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 10:53:20 +0530 Subject: [PATCH 5707/5916] Update org_getdeletedorglist.yaml --- platform_functions/org_getdeletedorglist.yaml | 11 ----------- 1 file changed, 11 deletions(-) diff --git a/platform_functions/org_getdeletedorglist.yaml b/platform_functions/org_getdeletedorglist.yaml index 47578aab3..886c7c5d0 100644 --- a/platform_functions/org_getdeletedorglist.yaml +++ b/platform_functions/org_getdeletedorglist.yaml @@ -5193,17 +5193,6 @@ components: - type: string example: Published Date - May 21,2021 description: Initial version release - input: - type : object - required: - - x_api_key - properties: - x_api_key: - x-name: x_api_key - type: string - description: x_api_key - example: xxxxxxxxx - default: false securitySchemes: APIAuthorizer: type: apiKey From c868529ac53a56c1c2e5ddfa154a5bd4c004eb9f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 11:28:57 +0530 Subject: [PATCH 5708/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 6 ------ 1 file changed, 6 deletions(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 8d5a65511..486f549e8 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -58,12 +58,6 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true components: schemas: success: From 9e6b426509a266b88ee01b3f37d300cda60662e7 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 11:30:30 +0530 Subject: [PATCH 5709/5916] Update org_getdeletedorglist.yaml --- platform_functions/org_getdeletedorglist.yaml | 6 ------ 1 file changed, 6 deletions(-) diff --git a/platform_functions/org_getdeletedorglist.yaml b/platform_functions/org_getdeletedorglist.yaml index 886c7c5d0..203c535d4 100644 --- a/platform_functions/org_getdeletedorglist.yaml +++ b/platform_functions/org_getdeletedorglist.yaml @@ -5103,12 +5103,6 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true components: schemas: success: From 6fe472999406422f03a0d4e4f8a7f634bd16e63c Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 11:45:47 +0530 Subject: [PATCH 5710/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 21 ++++++++++++++++++++- 1 file changed, 20 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 486f549e8..313dd7369 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -58,6 +58,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -158,7 +164,20 @@ components: oneOf: - type: string example: Published Date - Jul 09,2021 - description: Initial version release + description: Initial version release + input: + type: object + required: + - org_id + properties: + org_id: + x-name: org_id + type: array + default: True + example: {} + description: org_id if u want u can mention or no need to give org_id. + items: + type: object securitySchemes: APIAuthorizer: type: apiKey From bb90e50dfad4ee79d137995abe1c0e7d8e1c1e4f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:00:45 +0530 Subject: [PATCH 5711/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 17 ++--------------- 1 file changed, 2 insertions(+), 15 deletions(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 313dd7369..79b19ef8f 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -62,7 +62,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/input' + $ref: {} required: true components: schemas: @@ -164,20 +164,7 @@ components: oneOf: - type: string example: Published Date - Jul 09,2021 - description: Initial version release - input: - type: object - required: - - org_id - properties: - org_id: - x-name: org_id - type: array - default: True - example: {} - description: org_id if u want u can mention or no need to give org_id. - items: - type: object + description: Initial version release securitySchemes: APIAuthorizer: type: apiKey From ec2fa0c0b478496f43f3c58ab85cb2e2a7d5b4dd Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:06:31 +0530 Subject: [PATCH 5712/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 79b19ef8f..8021a1254 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -62,7 +62,7 @@ paths: content: application/json: schema: - $ref: {} + $ref: '#/components/schemas/input' required: true components: schemas: @@ -165,6 +165,17 @@ components: - type: string example: Published Date - Jul 09,2021 description: Initial version release + input: + type: object + required: + - group_id + properties: + group_id: + x-name: group_id + type: integer + default: true + description: Group Id. Refer to Group List API to get the group id(results.group_id) details. + example: {} securitySchemes: APIAuthorizer: type: apiKey From 0f552ca80355d789576965666f4b2f6e4cca5d6a Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:10:26 +0530 Subject: [PATCH 5713/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 8021a1254..8a5c756d9 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -167,14 +167,8 @@ components: description: Initial version release input: type: object - required: - - group_id properties: - group_id: - x-name: group_id - type: integer - default: true - description: Group Id. Refer to Group List API to get the group id(results.group_id) details. + description: org_id. Refer to orginfo details. example: {} securitySchemes: APIAuthorizer: From 754d932f27c7831ed2116029277751195e74d3b8 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:12:23 +0530 Subject: [PATCH 5714/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 8a5c756d9..22485e535 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -168,7 +168,6 @@ components: input: type: object properties: - description: org_id. Refer to orginfo details. example: {} securitySchemes: APIAuthorizer: From 96bfcff670a393834753806bd5804cd6904ecf6e Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:26:35 +0530 Subject: [PATCH 5715/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 22485e535..2a1b0d836 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -167,7 +167,11 @@ components: description: Initial version release input: type: object + required: + - org_id properties: + org_id: + description: org_id. Refer to org details. example: {} securitySchemes: APIAuthorizer: From ff4e9df6ed01054e70edf550a71d693ff8177a9f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:34:51 +0530 Subject: [PATCH 5716/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 2a1b0d836..f6d69537a 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -167,11 +167,10 @@ components: description: Initial version release input: type: object - required: + not mandatory: - org_id properties: - org_id: - description: org_id. Refer to org details. + description: org_id is not mandatory to get org details. example: {} securitySchemes: APIAuthorizer: From 4906fd590d99bde37b559bf49f3b87d716b20f29 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:37:22 +0530 Subject: [PATCH 5717/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index f6d69537a..f51ae80f1 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -167,10 +167,10 @@ components: description: Initial version release input: type: object - not mandatory: + required: - org_id properties: - description: org_id is not mandatory to get org details. + description: org_id is not mandatory to get org details it will refer from x-api-key. example: {} securitySchemes: APIAuthorizer: From 046250d143cef13e8d0ecaecbc3c08b203251794 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:39:11 +0530 Subject: [PATCH 5718/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index f51ae80f1..6e48815a9 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -170,6 +170,7 @@ components: required: - org_id properties: + org_id: description: org_id is not mandatory to get org details it will refer from x-api-key. example: {} securitySchemes: From 6545d59a971a4c61dc1c4b4303fe6309e75847bc Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:42:07 +0530 Subject: [PATCH 5719/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 6e48815a9..22485e535 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -167,11 +167,7 @@ components: description: Initial version release input: type: object - required: - - org_id properties: - org_id: - description: org_id is not mandatory to get org details it will refer from x-api-key. example: {} securitySchemes: APIAuthorizer: From f1d3a9e3bfa01470327c83d9830f9553e66f6072 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:45:19 +0530 Subject: [PATCH 5720/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 22485e535..ef13e793b 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -166,7 +166,6 @@ components: example: Published Date - Jul 09,2021 description: Initial version release input: - type: object properties: example: {} securitySchemes: From 78da5a3430af24ab8e4075dd316123cbf5519316 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 14:10:09 +0530 Subject: [PATCH 5721/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index ef13e793b..4d823f462 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -167,7 +167,9 @@ components: description: Initial version release input: properties: - example: {} + org_id: + description: Group Id. Refer to Group List API to get the group id details. + example: {} securitySchemes: APIAuthorizer: type: apiKey From 68b3659f94da6f30d6e5b202de389995bcdf7154 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 14:13:35 +0530 Subject: [PATCH 5722/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 4d823f462..c45bbd446 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -168,7 +168,7 @@ components: input: properties: org_id: - description: Group Id. Refer to Group List API to get the group id details. + description: org_id is not mantatory field with x-api-key we can get the org details.so we need to give empty json value. example: {} securitySchemes: APIAuthorizer: From 0a567ea7d72c06ed4a5b2996900268aab299dd27 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 14:16:14 +0530 Subject: [PATCH 5723/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index c45bbd446..16e38d507 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -168,7 +168,7 @@ components: input: properties: org_id: - description: org_id is not mantatory field with x-api-key we can get the org details.so we need to give empty json value. + description: org_id is not mantatory field with x-api-key we can get the org details. example: {} securitySchemes: APIAuthorizer: From 2a52a477361bd9a1f89e20e786117db2fb5ac0f3 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 14:22:20 +0530 Subject: [PATCH 5724/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index 16e38d507..df8d53609 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -167,8 +167,6 @@ components: description: Initial version release input: properties: - org_id: - description: org_id is not mantatory field with x-api-key we can get the org details. example: {} securitySchemes: APIAuthorizer: From 0b7ce1559dec2bbb8e54c6a988eeaa0b162f410a Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 14:33:54 +0530 Subject: [PATCH 5725/5916] Update org_getorginfo.yaml --- platform_functions/org_getorginfo.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform_functions/org_getorginfo.yaml b/platform_functions/org_getorginfo.yaml index df8d53609..6f5d3dcaa 100644 --- a/platform_functions/org_getorginfo.yaml +++ b/platform_functions/org_getorginfo.yaml @@ -166,8 +166,8 @@ components: example: Published Date - Jul 09,2021 description: Initial version release input: - properties: - example: {} + type: object + securitySchemes: APIAuthorizer: type: apiKey From c2443fe6806d316a7ce21b686a1bedb3e93f9a44 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 14:44:36 +0530 Subject: [PATCH 5726/5916] Update org_getorginfo.yaml From e8fc0a381a72e4c2a5346d24a3ca90fb8dd5f976 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 15:48:34 +0530 Subject: [PATCH 5727/5916] Update org_getorgassignfunctions.yaml --- platform_functions/org_getorgassignfunctions.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_getorgassignfunctions.yaml b/platform_functions/org_getorgassignfunctions.yaml index ee9e7b4b8..dc33b66ea 100644 --- a/platform_functions/org_getorgassignfunctions.yaml +++ b/platform_functions/org_getorgassignfunctions.yaml @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -107,7 +113,9 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object securitySchemes: APIAuthorizer: type: apiKey From 83f71dda30508c63830a4a9c9bf4d8571653a4a7 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 15:53:21 +0530 Subject: [PATCH 5728/5916] Update org_getorgassignfunctions.yaml --- platform_functions/org_getorgassignfunctions.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/platform_functions/org_getorgassignfunctions.yaml b/platform_functions/org_getorgassignfunctions.yaml index dc33b66ea..65af48794 100644 --- a/platform_functions/org_getorgassignfunctions.yaml +++ b/platform_functions/org_getorgassignfunctions.yaml @@ -116,6 +116,9 @@ components: description: Initial version release input: type: object + properties: + example: {} + securitySchemes: APIAuthorizer: type: apiKey From f0477c85e8d39350413c544e6b1bd8f2c8cd2c75 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Mon, 23 Jan 2023 16:16:53 +0530 Subject: [PATCH 5729/5916] Update org_getorgassignfunctions.yaml --- platform_functions/org_getorgassignfunctions.yaml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/platform_functions/org_getorgassignfunctions.yaml b/platform_functions/org_getorgassignfunctions.yaml index 65af48794..0795b8028 100644 --- a/platform_functions/org_getorgassignfunctions.yaml +++ b/platform_functions/org_getorgassignfunctions.yaml @@ -116,9 +116,7 @@ components: description: Initial version release input: type: object - properties: - example: {} - + securitySchemes: APIAuthorizer: type: apiKey From 506b1c4b38db5606f0f55a74b7a3c403b27d9a46 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Tue, 24 Jan 2023 09:08:15 +0530 Subject: [PATCH 5730/5916] Update org_getuserlist.yaml --- platform_functions/org_getuserlist.yaml | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_getuserlist.yaml b/platform_functions/org_getuserlist.yaml index 964c0d998..c632b58fa 100644 --- a/platform_functions/org_getuserlist.yaml +++ b/platform_functions/org_getuserlist.yaml @@ -54,6 +54,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -147,7 +153,10 @@ components: oneOf: - type: string example: Published Date - Jul 09,2021 - description: Initial version release + description: Initial version release + input: + type: object + securitySchemes: APIAuthorizer: type: apiKey From 6982237e0e7b373035435e7f70bea66ec37e25c4 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Tue, 24 Jan 2023 10:08:16 +0530 Subject: [PATCH 5731/5916] Update org_getdeleteduserlist.yaml --- platform_functions/org_getdeleteduserlist.yaml | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_getdeleteduserlist.yaml b/platform_functions/org_getdeleteduserlist.yaml index afe27145b..4d70cd76b 100644 --- a/platform_functions/org_getdeleteduserlist.yaml +++ b/platform_functions/org_getdeleteduserlist.yaml @@ -50,6 +50,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -107,7 +113,10 @@ components: oneOf: - type: string example: Published Date - Sep 6,2021 - description: Initial version release + description: Initial version release + input: + type: object + securitySchemes: APIAuthorizer: type: apiKey From 1a983f66a99cf0db14c4778cd085a19e95730491 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Tue, 24 Jan 2023 10:09:55 +0530 Subject: [PATCH 5732/5916] Update org_getorggrouplist.yaml --- platform_functions/org_getorggrouplist.yaml | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/platform_functions/org_getorggrouplist.yaml b/platform_functions/org_getorggrouplist.yaml index 444dcf248..95c7be1d6 100644 --- a/platform_functions/org_getorggrouplist.yaml +++ b/platform_functions/org_getorggrouplist.yaml @@ -53,6 +53,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -132,7 +138,10 @@ components: oneOf: - type: string example: Published Date - Jul 09,2021 - description: Initial version release + description: Initial version release + input: + type: object + securitySchemes: APIAuthorizer: type: apiKey From b22c6e00b0072922fe48c14f659e7b4e1a724b5f Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Tue, 24 Jan 2023 10:17:09 +0530 Subject: [PATCH 5733/5916] Update org_getdeletedorglist.yaml --- platform_functions/org_getdeletedorglist.yaml | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/platform_functions/org_getdeletedorglist.yaml b/platform_functions/org_getdeletedorglist.yaml index 203c535d4..ef606daef 100644 --- a/platform_functions/org_getdeletedorglist.yaml +++ b/platform_functions/org_getdeletedorglist.yaml @@ -5103,6 +5103,12 @@ paths: $ref: '#/components/schemas/servererror' security: - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true components: schemas: success: @@ -5187,6 +5193,9 @@ components: - type: string example: Published Date - May 21,2021 description: Initial version release + input: + type: object + securitySchemes: APIAuthorizer: type: apiKey From de081eaa087142937f5d7d50d7583ded7c2459e6 Mon Sep 17 00:00:00 2001 From: gopi140693 <103035586+gopi140693@users.noreply.github.com> Date: Wed, 25 Jan 2023 15:34:54 +0530 Subject: [PATCH 5734/5916] Update org_removeuserfromgroup.yaml --- platform_functions/org_removeuserfromgroup.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform_functions/org_removeuserfromgroup.yaml b/platform_functions/org_removeuserfromgroup.yaml index f33b01f4b..967cc3511 100644 --- a/platform_functions/org_removeuserfromgroup.yaml +++ b/platform_functions/org_removeuserfromgroup.yaml @@ -5,7 +5,7 @@ info: x-subscribelink: remove_group_from_user version: 'v0.1.0' servers: - - url: 'https://platform-apis-org.sentient.io' + - url: 'https://dev-microserviceapi-org.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Nov 1, 2021" From 6ae5cf0452fc7d1ba262f6d0ce9655420abdb9d0 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 27 Jan 2023 15:38:32 +1100 Subject: [PATCH 5735/5916] Create familymartner.yaml --- nlp/familymartner.yaml | 325 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 325 insertions(+) create mode 100644 nlp/familymartner.yaml diff --git a/nlp/familymartner.yaml b/nlp/familymartner.yaml new file mode 100644 index 000000000..840977ec3 --- /dev/null +++ b/nlp/familymartner.yaml @@ -0,0 +1,325 @@ +openapi: 3.0.1 +info: + title: Family art NER + description: |+ + Family Mart NER microservice. + x-additionalinfo: |+ + Suggested Use Cases: + - Can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning -e.g. tokenization, Parts-of-Speech (PoS) Tagging, Text Classification and Named Entity Recognition. + version: '4.0.0' + x-subscribelink: familymartner + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 5000 characters/Call + x-inputfilelimit: |+ + Process up to 5000 characters per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + Limit cannot exceed 5000 characters. + x-apidetailsdesc: |+ + Locates and Classifies the named-entities classes from input unstructured English text. +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v4.0.0" + description: "Published Date - Jan 27, 2023" +paths: + /microservices/nlp/familymartner/v1/getpredictions: + post: + tags: + - v4.0.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: {"message": "Successfully Processed","results": {"fac": ["Changi Airport","the first Airport"],"gpe": ["Changi","Singapore"],"loc": ["Marina Bay","Asia"],"org": ["WSSS","BOC Aviation","Jetstar Asia Airways","Changi Airport Group","FAA","Skytrax","ICAO","the World's Best Airport"],"quantity": ["5.0 sq mi","approximately 20 km"]},"status": "Success"} + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + example: { "" } + description: Json Object of returned results + properties: + person: + x-name: person + type: array + example: [DONALD TRUMP,Mike Pompeo] + description: People, including fictional. + norp: + x-name: norp + type: array + example: [Chinese,Singaporean,Malay] + description: Nationalities or religious or political groups. + fac: + x-name: fac + type: array + example: [Changi Airport, the first Airport] + description: Buildings, airports, highways, bridges, etc. + org: + x-name: org + type: array + example: [WSSS,BOC Aviation] + description: Companies, agencies, institutions, etc. + gpe: + x-name: gpe + type: array + example: [Changi,Singapore] + description: Countries, cities, states. + loc: + x-name: loc + type: array + example: [Marina Bay, Asia] + description: Non-GPE locations, mountain ranges, bodies of water. + product: + x-name: product + type: array + example: [Formula 1,Motorrad] + description: Objects, vehicles, foods, etc. (Not services.) + event: + x-name: event + type: array + example: [the Second World War] + description: Named hurricanes, battles, wars, sports events, etc. + work_of_art: + x-name: work_of_art + type: array + example: [Wizardry] + description: Titles of books, songs, etc. + law: + x-name: law + type: array + example: [the Penal Code,the Internal Security Act,the Constitution of the Republic of Singapore",the Evidence Act,the Societies Act] + description: Named documents made into laws. + language: + x-name: language + type: array + example: [English] + description: Any named language. + date: + x-name: date + type: array + example: [Tuesday] + description: Absolute or relative dates or periods. + time: + x-name: time + type: array + example: [twenty-four hours] + description: Times smaller than a day. + percent: + x-name: percent + type: array + example: [91%,25%,61%] + description: Percentage, including ”%“. + money: + x-name: money + type: array + example: [up to $1000] + description: Monetary values, including unit. + quantity: + x-name: quantity + type: array + example: [about one degree,85 miles,137 kilometres] + description: Measurements, as of weight or distance. + ordinal: + x-name: ordinal + type: array + example: [ninth,seventh,second] + description: “first”, “second”, etc. + cardinal: + x-name: cardinal + type: array + example: [four] + description: Numerals that do not fall under another type. + message: + x-name: message + type: string + example: Successfully Processed + description: Detail description on the API status + + status: + x-name: status + type: string + example: Success + description: The status of the API call success/failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + input: + type: object + required: + - text + properties: + text: + x-name: text + type: string + default: true + example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." + description: |+ + Input text + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Sep 30, 2020 + x-details: Initial version release + description: Latest Version + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 9986b109de14ee1a2b4d42525ec55a0f904ef8ca Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 27 Jan 2023 15:47:53 +1100 Subject: [PATCH 5736/5916] Delete familymartner.yaml --- nlp/familymartner.yaml | 325 ----------------------------------------- 1 file changed, 325 deletions(-) delete mode 100644 nlp/familymartner.yaml diff --git a/nlp/familymartner.yaml b/nlp/familymartner.yaml deleted file mode 100644 index 840977ec3..000000000 --- a/nlp/familymartner.yaml +++ /dev/null @@ -1,325 +0,0 @@ -openapi: 3.0.1 -info: - title: Family art NER - description: |+ - Family Mart NER microservice. - x-additionalinfo: |+ - Suggested Use Cases: - - Can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning -e.g. tokenization, Parts-of-Speech (PoS) Tagging, Text Classification and Named Entity Recognition. - version: '4.0.0' - x-subscribelink: familymartner - x-apitype: small file - x-apitypedescription: |+ - Fast | Single-Call | 5000 characters/Call - x-inputfilelimit: |+ - Process up to 5000 characters per API call. - x-responsetime: |+ - Response rate is fast due to small data transfer per call made. - x-billingmethod: |+ - The API is billed by per request. - x-notes: |+ - Limit cannot exceed 5000 characters. - x-apidetailsdesc: |+ - Locates and Classifies the named-entities classes from input unstructured English text. -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v4.0.0" - description: "Published Date - Jan 27, 2023" -paths: - /microservices/nlp/familymartner/v1/getpredictions: - post: - tags: - - v4.0.0 - responses: - '200': - description: Ok - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: {"message": "Successfully Processed","results": {"fac": ["Changi Airport","the first Airport"],"gpe": ["Changi","Singapore"],"loc": ["Marina Bay","Asia"],"org": ["WSSS","BOC Aviation","Jetstar Asia Airways","Changi Airport Group","FAA","Skytrax","ICAO","the World's Best Airport"],"quantity": ["5.0 sq mi","approximately 20 km"]},"status": "Success"} - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server Error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - example: { "" } - description: Json Object of returned results - properties: - person: - x-name: person - type: array - example: [DONALD TRUMP,Mike Pompeo] - description: People, including fictional. - norp: - x-name: norp - type: array - example: [Chinese,Singaporean,Malay] - description: Nationalities or religious or political groups. - fac: - x-name: fac - type: array - example: [Changi Airport, the first Airport] - description: Buildings, airports, highways, bridges, etc. - org: - x-name: org - type: array - example: [WSSS,BOC Aviation] - description: Companies, agencies, institutions, etc. - gpe: - x-name: gpe - type: array - example: [Changi,Singapore] - description: Countries, cities, states. - loc: - x-name: loc - type: array - example: [Marina Bay, Asia] - description: Non-GPE locations, mountain ranges, bodies of water. - product: - x-name: product - type: array - example: [Formula 1,Motorrad] - description: Objects, vehicles, foods, etc. (Not services.) - event: - x-name: event - type: array - example: [the Second World War] - description: Named hurricanes, battles, wars, sports events, etc. - work_of_art: - x-name: work_of_art - type: array - example: [Wizardry] - description: Titles of books, songs, etc. - law: - x-name: law - type: array - example: [the Penal Code,the Internal Security Act,the Constitution of the Republic of Singapore",the Evidence Act,the Societies Act] - description: Named documents made into laws. - language: - x-name: language - type: array - example: [English] - description: Any named language. - date: - x-name: date - type: array - example: [Tuesday] - description: Absolute or relative dates or periods. - time: - x-name: time - type: array - example: [twenty-four hours] - description: Times smaller than a day. - percent: - x-name: percent - type: array - example: [91%,25%,61%] - description: Percentage, including ”%“. - money: - x-name: money - type: array - example: [up to $1000] - description: Monetary values, including unit. - quantity: - x-name: quantity - type: array - example: [about one degree,85 miles,137 kilometres] - description: Measurements, as of weight or distance. - ordinal: - x-name: ordinal - type: array - example: [ninth,seventh,second] - description: “first”, “second”, etc. - cardinal: - x-name: cardinal - type: array - example: [four] - description: Numerals that do not fall under another type. - message: - x-name: message - type: string - example: Successfully Processed - description: Detail description on the API status - - status: - x-name: status - type: string - example: Success - description: The status of the API call success/failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server Error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - input: - type: object - required: - - text - properties: - text: - x-name: text - type: string - default: true - example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." - description: |+ - Input text - versions: - type: object - properties: - v0.1.0: - type: array - items: - oneOf: - - type: string - example: Published Date - Sep 30, 2020 - x-details: Initial version release - description: Latest Version - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header From 1a56c4041e1b32f7c0a9baa7466448592b8cb179 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Fri, 27 Jan 2023 15:57:37 +1100 Subject: [PATCH 5737/5916] Update for FM demo --- nlp/spacy_ner.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/nlp/spacy_ner.yaml b/nlp/spacy_ner.yaml index 15e9845be..29a288fa9 100644 --- a/nlp/spacy_ner.yaml +++ b/nlp/spacy_ner.yaml @@ -11,7 +11,7 @@ info: x-additionalinfo: |+ Suggested Use Cases: - Can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning -e.g. tokenization, Parts-of-Speech (PoS) Tagging, Text Classification and Named Entity Recognition. - version: '1.0.0' + version: '4.0.0' x-subscribelink: spacy_ner x-apitype: small file x-apitypedescription: |+ @@ -29,13 +29,13 @@ info: servers: - url: 'https://apis.sentient.io' tags: -- name: "v1.0.0" - description: "Depreciation Date - May 31, 2022" +- name: "v4.0.0" + description: "Depreciation Date - Jan 27, 2023" paths: - /microservices/nlp/spacyner/v1/getpredictions: + /microservices/nlp/spacyner/v4/getpredictions: post: tags: - - v1.0.0 + - v4.0.0 responses: '200': description: Ok @@ -320,7 +320,7 @@ components: versions: type: object properties: - v1.0.0: + v4.0.0: type: array items: oneOf: From 091a71c3e5d76ad1fd8c08eb6da3bed7e8f66c70 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 30 Jan 2023 20:28:59 +0530 Subject: [PATCH 5738/5916] Update acra_dataset.yaml --- data/acra_dataset.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/acra_dataset.yaml b/data/acra_dataset.yaml index 7714d8526..d54215746 100644 --- a/data/acra_dataset.yaml +++ b/data/acra_dataset.yaml @@ -42,10 +42,10 @@ info: x-apidetailsdesc: |+ Provides detailed route information for all services currently in operation. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 30, 2022" + description: "Published Date - Jan 30, 2023" paths: /microservices/data/acra/v0/getdata: post: @@ -774,7 +774,7 @@ components: items: oneOf: - type: string - example: Published Date - Dec 30, 2022 + example: Published Date - Jan 30, 2023 x-details: Initial version release description: Latest Version input: From 9252c39d6066fe05e5f0ba0d522d57bf0ac5dda3 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 30 Jan 2023 20:46:53 +0530 Subject: [PATCH 5739/5916] Update acra_dataset.yaml --- data/acra_dataset.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/acra_dataset.yaml b/data/acra_dataset.yaml index d54215746..be8cbc953 100644 --- a/data/acra_dataset.yaml +++ b/data/acra_dataset.yaml @@ -42,7 +42,7 @@ info: x-apidetailsdesc: |+ Provides detailed route information for all services currently in operation. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jan 30, 2023" From fecdada5eec9205c75c350020f3883bbdabd0dec Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 30 Jan 2023 21:28:38 +0530 Subject: [PATCH 5740/5916] Update acra_dataset.yaml --- data/acra_dataset.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/acra_dataset.yaml b/data/acra_dataset.yaml index be8cbc953..d54215746 100644 --- a/data/acra_dataset.yaml +++ b/data/acra_dataset.yaml @@ -42,7 +42,7 @@ info: x-apidetailsdesc: |+ Provides detailed route information for all services currently in operation. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jan 30, 2023" From 6f1af26bbe4c3ec893280083714bee22c8ffa984 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 10 Feb 2023 09:45:18 +0530 Subject: [PATCH 5741/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 22 ++++++++++++++++++---- 1 file changed, 18 insertions(+), 4 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index f5e56c84a..ae47f7f3c 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -21,7 +21,7 @@ x-apidetailsdesc: |+ Input text blurb and generates a summary of up to a maximum of 168 words. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Aug 30 , 2022" @@ -109,12 +109,14 @@ type: object example: { "" } description: Json object in the returned results - properties: + properties: text: type: string - example: more than 2,000 build-to-orders have been completed by the hdb in 2015. more than 70 per cent of residents have moved into their new homes in alk by 50 per cent in bidadari .y greenrise will be the last bto to be + example: More than 2,000 Build-To-Order (BTO) Housing Board flats in Singapore's newest large estate, Bidadari, have been completed. More than 70 per cent of residents have moved into their new homes in Alkaff Vista and Alkff LakeView. The final three projects - Bartley GreenRise, ParkEdge @ Bidadi and AlKaff Breeze - have been rolled out. description: The summarised version of the input text. - + score: + example: 1.425637380844843 + type: float message: type: string @@ -279,6 +281,18 @@ Stop the decoding algorithm from generating the same N grams. Default value is 3. Recommended value is 3. + + temperature: + x-name: temperature + type: string + default: False + example: float + description: |+ + Increase or decrease the subword score. + Encourage the beam search to stick with subwords with high score or explore subwords with low score. + Default value is 0.6. + Recommended values are 0.6, 1.2, 1.8. + Accepted range: 0.6 <= x <= 3.0 securitySchemes: APIAuthorizer: From 6a86b6a2532143f2caa720b12b33aedbb1c2a9bc Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 10 Feb 2023 09:46:19 +0530 Subject: [PATCH 5742/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index ae47f7f3c..bbbf42067 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -286,7 +286,7 @@ x-name: temperature type: string default: False - example: float + example: 0.6 description: |+ Increase or decrease the subword score. Encourage the beam search to stick with subwords with high score or explore subwords with low score. From 1a4effaf9bd1011daf08a79234b54d6d5a7def95 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Fri, 10 Feb 2023 09:47:48 +0530 Subject: [PATCH 5743/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index bbbf42067..c47fc9df8 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -284,7 +284,7 @@ temperature: x-name: temperature - type: string + type: float default: False example: 0.6 description: |+ From 06dd8b4f33f9d0728a708b717e4f1b5d63dafb0a Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 13 Feb 2023 09:26:45 +0530 Subject: [PATCH 5744/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index c47fc9df8..23674735c 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -5,7 +5,7 @@ This NLP microservice takes in any given input text blurb and generates a summary of up to a maximum of 168 words.
The input text should be a minimum of 100 words and a maximum of 1024 words.
For longer text, we suggest breaking them up into smaller chunks and making multiple calls to this microservice for more effective summarization. - version: '1.0.0' + version: '1.1.0' x-subscribelink: text_summarization x-apitype: small file x-apitypedescription: |+ @@ -23,8 +23,8 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - - name: "v1.0.0" - description: "Published Date - Aug 30 , 2022" + - name: "v1.1.0" + description: "Published Date - February 10, 2022" paths: /microservices/nlp/textsummarisation/v1/getpredictions: post: @@ -210,6 +210,14 @@ versions: type: object properties: + v1.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - February 10, 2023 + x-details: Model upgrade and added new API parameter temperature + description: Latest version v1.0.0: type: array items: From 29a4da90998f52cced8182c2702782354fa1c511 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 13 Feb 2023 09:29:55 +0530 Subject: [PATCH 5745/5916] Update index.yaml --- index.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.yaml b/index.yaml index 6053ccdf7..e518c321a 100644 --- a/index.yaml +++ b/index.yaml @@ -168,7 +168,7 @@ nlp: text_summarization: title: Text Summarization versions: - 1.0.0: 'text_summarization.yaml' + 1.1.0: 'text_summarization.yaml' 0.2.0: 'text_summarization_v0.2.yaml' text_summarization_large_file: title: Text Summarization (Large File) From 6f8ed83a117cae19da26deda972a948d4036181f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Thu, 16 Feb 2023 15:48:30 +0530 Subject: [PATCH 5746/5916] Update pdf_extractor.yaml --- utility/pdf_extractor.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/pdf_extractor.yaml b/utility/pdf_extractor.yaml index 2efa78189..bf22fe8d1 100644 --- a/utility/pdf_extractor.yaml +++ b/utility/pdf_extractor.yaml @@ -27,7 +27,7 @@ info: x-apidetailsdesc: |+ Extracts text content from pdf docs. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v2.1.0" description: "Published Date - Nov 14, 2022" From 4726a79a7963b70249feb252f61703c1911f3423 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Thu, 16 Feb 2023 16:51:01 +0530 Subject: [PATCH 5747/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 23674735c..d7957dae0 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -26,7 +26,7 @@ - name: "v1.1.0" description: "Published Date - February 10, 2022" paths: - /microservices/nlp/textsummarisation/v1/getpredictions: + /microservice/nlp/textsummarisation/v1/getpredictions: post: tags: - v0.2.0 @@ -225,7 +225,7 @@ - type: string example: Published Date - Aug 30, 2022 x-details: Model & Code Upgrade - description: Latest version + description: v0.2.0: type: array items: @@ -233,7 +233,7 @@ - type: string example: Published Date - Aug 11, 2021 x-details: Model Upgrade - description: Latest version + description: v0.1.2: type: array items: From c76c15ef1095574a8460b03d496e97d194e677ce Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 20 Feb 2023 15:48:15 +0530 Subject: [PATCH 5748/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index d7957dae0..876352e9c 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -224,8 +224,8 @@ oneOf: - type: string example: Published Date - Aug 30, 2022 - x-details: Model & Code Upgrade - description: + x-details: Model & Code Upgrade + description: Archived v0.2.0: type: array items: @@ -233,7 +233,7 @@ - type: string example: Published Date - Aug 11, 2021 x-details: Model Upgrade - description: + description: Archived v0.1.2: type: array items: From 425501c4f357a44553563f06dcf6bc1b0cbf4435 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 20 Feb 2023 15:51:48 +0530 Subject: [PATCH 5749/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 876352e9c..9f10c4635 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -225,7 +225,7 @@ - type: string example: Published Date - Aug 30, 2022 x-details: Model & Code Upgrade - description: Archived + description: Depreciating on Feb 9,2023 v0.2.0: type: array items: @@ -233,7 +233,7 @@ - type: string example: Published Date - Aug 11, 2021 x-details: Model Upgrade - description: Archived + description: Depreciating on Aug 29,2022 v0.1.2: type: array items: From e858af3900e0951eb4dd7b44534d1c016c54b3d7 Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Mon, 20 Feb 2023 15:52:22 +0530 Subject: [PATCH 5750/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 9f10c4635..2759ffd52 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -26,7 +26,7 @@ - name: "v1.1.0" description: "Published Date - February 10, 2022" paths: - /microservice/nlp/textsummarisation/v1/getpredictions: + /microservices/nlp/textsummarisation/v1/getpredictions: post: tags: - v0.2.0 From e085d5e2873af7b185dbec089e631f6ab0471d9b Mon Sep 17 00:00:00 2001 From: Kurian Benoy <101088788+kurianbenoy-sentient@users.noreply.github.com> Date: Tue, 21 Feb 2023 10:29:04 +0530 Subject: [PATCH 5751/5916] Update text_summarization.yaml --- nlp/text_summarization.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization.yaml b/nlp/text_summarization.yaml index 2759ffd52..f4328435a 100644 --- a/nlp/text_summarization.yaml +++ b/nlp/text_summarization.yaml @@ -274,7 +274,7 @@ x-name: beam_size type: integer default: False - example: 4 + example: 2 description: |+ This parameter will determine how many nodes to search at each level. The bigger the number is the more time it takes to complete. From 6faa245eeceef9fcfde6b6919787a041069cac6c Mon Sep 17 00:00:00 2001 From: karunakarv Date: Thu, 2 Mar 2023 14:40:53 +0530 Subject: [PATCH 5752/5916] changed base url from GCP to huawei --- analytics/recommendation_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/recommendation_engine.yaml b/analytics/recommendation_engine.yaml index 81811019a..b6311ceed 100644 --- a/analytics/recommendation_engine.yaml +++ b/analytics/recommendation_engine.yaml @@ -24,7 +24,7 @@ info: x-notes: |+ File size cannot exceed 10 MB. servers: - - url: 'https://apis.sentient.io' + - url: 'https://apish.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Apr 20, 2022" From 819e3a06e0b9d92ad9f0c38599b1ddbf369cc385 Mon Sep 17 00:00:00 2001 From: priyaPeristera Date: Mon, 6 Mar 2023 21:36:30 +1100 Subject: [PATCH 5753/5916] Update rule_engine.yaml --- analytics/rule_engine.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/analytics/rule_engine.yaml b/analytics/rule_engine.yaml index 4d055a703..6c9e5ba8f 100644 --- a/analytics/rule_engine.yaml +++ b/analytics/rule_engine.yaml @@ -18,7 +18,7 @@ info: x-notes: |+ File size cannot exceed 10 MB. servers: - - url: 'https://apis.sentient.io' + - url: 'https://apish.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Apr 20, 2022" From 62e2af0bcca9ccfba1a9a471140bf502620830da Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 8 Mar 2023 07:58:53 +0530 Subject: [PATCH 5754/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 27 +++++++++++++++++++++------ 1 file changed, 21 insertions(+), 6 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 76ab355d0..f04698885 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -112,7 +112,7 @@ info: | ba | bashkir | | jw | javanese | | su | sundanese | - version: '0.1.0' + version: '0.2.0' x-subscribelink: whisper_asr_large_file x-apitype: large file x-apitypedescription: |+ @@ -130,15 +130,15 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.1.0" - description: "Published Date - Nov 30, 2022" +- name: "v0.2.0" + description: "Published Date - Mar 08, 2023" paths: /async/microservices/voice/whisperasrlp/v0/getuploadurl: description: |+ Get the pre-signed url to upload the file. post: tags: - - v0.1.0 + - v0.2.0 responses: '200': description: Ok @@ -516,6 +516,14 @@ components: versions: type: object properties: + v0.2.0: + type: array + items: + oneOf: + - type: string + example: Published Date - Mar 03, 2023 + x-details: Timestamp added + description: Latest Version v0.1.0: type: array items: @@ -523,7 +531,7 @@ components: - type: string example: Published Date - Nov 30, 2022 x-details: Initial version release - description: Latest Version + description: Archived input: type: object required: @@ -565,6 +573,13 @@ components: example: en description: |+ Specify the language code that needs to be converted. + timestamps: + x-name: timestamps + type: string + default: true + example: en + description: |+ + Specify the timestamps for set timing variation for each sentence. uploadinput: type: object required: @@ -609,7 +624,7 @@ components: x-goog-meta-additional_param: type: string default: false - example: "{\"language\": \"en\"}" + example: "{\"language\": \"en\",\"timestamps\":True}" description: Fields x-goog-meta-oid: type: string From 1e87536ca8b6299c9e5f6ce769fc82a775b3928a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 8 Mar 2023 08:00:08 +0530 Subject: [PATCH 5755/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index f04698885..c7a03fcf9 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -577,7 +577,7 @@ components: x-name: timestamps type: string default: true - example: en + example: True description: |+ Specify the timestamps for set timing variation for each sentence. uploadinput: From 62f6fde12734c402c875a8e8e34d949325af7e7f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 8 Mar 2023 12:11:05 +0530 Subject: [PATCH 5756/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index c7a03fcf9..ded51d948 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -521,7 +521,7 @@ components: items: oneOf: - type: string - example: Published Date - Mar 03, 2023 + example: Published Date - Mar 08, 2023 x-details: Timestamp added description: Latest Version v0.1.0: From 9e3eb4920a0fcca0cb8f1d128ea7122c73df911e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 13 Mar 2023 15:30:56 +0530 Subject: [PATCH 5757/5916] Update get_ip.yaml --- utility/get_ip.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/get_ip.yaml b/utility/get_ip.yaml index 4ca1ea5fd..a7415945f 100644 --- a/utility/get_ip.yaml +++ b/utility/get_ip.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Locates and Identifies website visitors by IP servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Jun 20, 2022" From 0e764114614ec0ca09f221043a2663184a405391 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 18:21:01 +0000 Subject: [PATCH 5758/5916] Pushed Openapi files --- nlp/englishnlp.yaml | 295 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 295 insertions(+) create mode 100644 nlp/englishnlp.yaml diff --git a/nlp/englishnlp.yaml b/nlp/englishnlp.yaml new file mode 100644 index 000000000..f8e55d356 --- /dev/null +++ b/nlp/englishnlp.yaml @@ -0,0 +1,295 @@ + +openapi: 3.0.1 +info: + title: Spacy NER + description: |+ + This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. + +The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + +This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + +Do ensure that your text is within 5000 characters. + version: v7.0.0 + x-additionalinfo: |+ + TO FILL MANUALLY + x-subscribelink: TO FILL MANUALLY +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v7.0.0" + description: "Published Date - March 24, 2023" +paths: + /microservices/(cv/nlp/voice)/englishnlp/v7/getpredictions: + post: + tags: + - v7.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + fac: + - Changi Airport + - the first Airport + gpe: + - Changi + - Singapore + loc: + - Asia + - Marina Bay + org: + - the World's Best Airport + - Skytrax + - Jetstar Asia Airways + - WSSS + - ICAO + - FAA + - BOC Aviation + - Changi Airport Group + quantity: + - 5.0 sq mi + - approximately 20 km + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + fac: + description: TO FILL MANUALLY + example: Changi Airport + items: + description: TO FILL MANUALLY + example: Changi Airport + type: string + type: array + gpe: + description: TO FILL MANUALLY + example: Changi + items: + description: TO FILL MANUALLY + example: Changi + type: string + type: array + loc: + description: TO FILL MANUALLY + example: Asia + items: + description: TO FILL MANUALLY + example: Asia + type: string + type: array + org: + description: TO FILL MANUALLY + example: the World's Best Airport + items: + description: TO FILL MANUALLY + example: the World's Best Airport + type: string + type: array + quantity: + description: TO FILL MANUALLY + example: 5.0 sq mi + items: + description: TO FILL MANUALLY + example: 5.0 sq mi + type: string + type: array + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v7.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - March 24, 2023 + description: TO FILL MANUALLY + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation. + description: |+ + This text + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 00d7c616e71f643628fb79c60627340743889283 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 18:24:52 +0000 Subject: [PATCH 5759/5916] Pushed Openapi files From 77270faea24d8317bd61dcf0ed480af8542bef08 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 18:28:37 +0000 Subject: [PATCH 5760/5916] Pushed Openapi files From 77c920ebe6cf1c7c4ad3aa99174d4b961fd3b9b4 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 18:40:07 +0000 Subject: [PATCH 5761/5916] Pushed Openapi files From c874c1cbf60faf4025773a5e114fd5a42ee8e6b1 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 18:45:31 +0000 Subject: [PATCH 5762/5916] Pushed Openapi files From 1c967a8d90ac96e7557c5f391629c1931c8602db Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 18:49:04 +0000 Subject: [PATCH 5763/5916] Pushed Openapi files From 4ac6048a3e1710398e8bcf5e1c696e9029d430aa Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 18:54:32 +0000 Subject: [PATCH 5764/5916] Pushed Openapi files From 5ca3685275abd20594a848f9f70c7ea4b9a6c83b Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 18:57:42 +0000 Subject: [PATCH 5765/5916] Pushed Openapi files From 8c41e060a20c793eba599a5325daede2f4372b05 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:01:26 +0000 Subject: [PATCH 5766/5916] Pushed Openapi files From 7e6928a566e1e1db7793a87eb725a55291c4fc22 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:04:56 +0000 Subject: [PATCH 5767/5916] Pushed Openapi files From 8acaeb0671baac8fbf51c094a123bde5a9032722 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:08:50 +0000 Subject: [PATCH 5768/5916] Pushed Openapi files From 7a3a34d626c0ffbf0d5c23332359e56690844c00 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:14:52 +0000 Subject: [PATCH 5769/5916] Pushed Openapi files From c3071b3cb2557c689cb836bfd0cfdb21bbdc508e Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:20:32 +0000 Subject: [PATCH 5770/5916] Pushed Openapi files From 618780a8ba36f0c2028ae8cd5b2776e22164e547 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:25:11 +0000 Subject: [PATCH 5771/5916] Pushed Openapi files From 4e06d71e2fe1f1d8e45b4e9939bce84079d3841c Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:30:32 +0000 Subject: [PATCH 5772/5916] Pushed Openapi files From c741cd745b6b6eb258996cf7f5f4b01673d05bc6 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:33:10 +0000 Subject: [PATCH 5773/5916] Pushed Openapi files From cd2fa398cf7336314441a97733e41c6fdac3f718 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:36:52 +0000 Subject: [PATCH 5774/5916] Pushed Openapi files From 61832775aea3ed9905ee29b38b80b50730903c02 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Fri, 24 Mar 2023 19:42:42 +0000 Subject: [PATCH 5775/5916] Pushed Openapi files From efec13217397255758bd3bf111877e885ccd7b03 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Sat, 25 Mar 2023 08:59:28 +0000 Subject: [PATCH 5776/5916] Pushed Openapi files --- nlp/englishnlp.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/englishnlp.yaml b/nlp/englishnlp.yaml index f8e55d356..bbfc7536a 100644 --- a/nlp/englishnlp.yaml +++ b/nlp/englishnlp.yaml @@ -18,7 +18,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v7.0.0" - description: "Published Date - March 24, 2023" + description: "Published Date - March 25, 2023" paths: /microservices/(cv/nlp/voice)/englishnlp/v7/getpredictions: post: @@ -268,7 +268,7 @@ components: items: oneOf: - type: string - example: Published Date - March 24, 2023 + example: Published Date - March 25, 2023 description: TO FILL MANUALLY input: type: object From 281d5a6aec19b5ca6aac104a01394f1102f35511 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 02:50:56 +0000 Subject: [PATCH 5777/5916] Pushed Openapi files --- nlp/englishnlp.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/englishnlp.yaml b/nlp/englishnlp.yaml index bbfc7536a..2549cf6d5 100644 --- a/nlp/englishnlp.yaml +++ b/nlp/englishnlp.yaml @@ -18,7 +18,7 @@ servers: - url: 'https://api.sentient.io' tags: - name: "v7.0.0" - description: "Published Date - March 25, 2023" + description: "Published Date - March 27, 2023" paths: /microservices/(cv/nlp/voice)/englishnlp/v7/getpredictions: post: @@ -268,7 +268,7 @@ components: items: oneOf: - type: string - example: Published Date - March 25, 2023 + example: Published Date - March 27, 2023 description: TO FILL MANUALLY input: type: object From c6b58e97c19c7ad5f45a39b9b042e3dd93e767e5 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 02:54:11 +0000 Subject: [PATCH 5778/5916] Pushed Openapi files From ffff57c3e79b9963e92c3907d996f2aa4086cad5 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 03:48:39 +0000 Subject: [PATCH 5779/5916] Pushed Openapi files From 50beeeb7f1a61965005353b45012c08b12a38c36 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 04:03:07 +0000 Subject: [PATCH 5780/5916] Pushed Openapi files From bf63c23b63b317091593ae9853ef5db1ed6c4acd Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 04:08:00 +0000 Subject: [PATCH 5781/5916] Pushed Openapi files From e60c6aa2cfb2689c10dd0381cc551b5794c32b50 Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Mon, 27 Mar 2023 09:44:38 +0530 Subject: [PATCH 5782/5916] updated englishnlp.yaml to proper yaml --- nlp/englishnlp.yaml | 578 ++++++++++++++++++++++---------------------- 1 file changed, 286 insertions(+), 292 deletions(-) diff --git a/nlp/englishnlp.yaml b/nlp/englishnlp.yaml index 2549cf6d5..eb3cbe3fa 100644 --- a/nlp/englishnlp.yaml +++ b/nlp/englishnlp.yaml @@ -1,295 +1,289 @@ - -openapi: 3.0.1 -info: - title: Spacy NER - description: |+ - This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. -The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. +openapi: 3.0.1 +info: + title: Spacy NER + description: |+ + "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model.The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals.This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc.Do ensure that your text is within 5000 characters." + version: v7.0.0 + x-additionalinfo: |+ + TO FILL MANUALLY + x-subscribelink: TO FILL MANUALLY +servers: + - url: 'https://api.sentient.io' +tags: +- name: "v7.0.0" + description: "Published Date - March 27, 2023" +paths: + /microservices/nlp/englishnlp/v7/getpredictions: + post: + tags: + - v7.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + fac: + - Changi Airport + - the first Airport + gpe: + - Changi + - Singapore + loc: + - Asia + - Marina Bay + org: + - the World's Best Airport + - Skytrax + - Jetstar Asia Airways + - WSSS + - ICAO + - FAA + - BOC Aviation + - Changi Airport Group + quantity: + - 5.0 sq mi + - approximately 20 km -This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + fac: + description: TO FILL MANUALLY + example: Changi Airport + items: + description: TO FILL MANUALLY + example: Changi Airport + type: string + type: array + gpe: + description: TO FILL MANUALLY + example: Changi + items: + description: TO FILL MANUALLY + example: Changi + type: string + type: array + loc: + description: TO FILL MANUALLY + example: Asia + items: + description: TO FILL MANUALLY + example: Asia + type: string + type: array + org: + description: TO FILL MANUALLY + example: the World's Best Airport + items: + description: TO FILL MANUALLY + example: the World's Best Airport + type: string + type: array + quantity: + description: TO FILL MANUALLY + example: 5.0 sq mi + items: + description: TO FILL MANUALLY + example: 5.0 sq mi + type: string + type: array -Do ensure that your text is within 5000 characters. - version: v7.0.0 - x-additionalinfo: |+ - TO FILL MANUALLY - x-subscribelink: TO FILL MANUALLY -servers: - - url: 'https://api.sentient.io' -tags: -- name: "v7.0.0" - description: "Published Date - March 27, 2023" -paths: - /microservices/(cv/nlp/voice)/englishnlp/v7/getpredictions: - post: - tags: - - v7.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - fac: - - Changi Airport - - the first Airport - gpe: - - Changi - - Singapore - loc: - - Asia - - Marina Bay - org: - - the World's Best Airport - - Skytrax - - Jetstar Asia Airways - - WSSS - - ICAO - - FAA - - BOC Aviation - - Changi Airport Group - quantity: - - 5.0 sq mi - - approximately 20 km - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - fac: - description: TO FILL MANUALLY - example: Changi Airport - items: - description: TO FILL MANUALLY - example: Changi Airport - type: string - type: array - gpe: - description: TO FILL MANUALLY - example: Changi - items: - description: TO FILL MANUALLY - example: Changi - type: string - type: array - loc: - description: TO FILL MANUALLY - example: Asia - items: - description: TO FILL MANUALLY - example: Asia - type: string - type: array - org: - description: TO FILL MANUALLY - example: the World's Best Airport - items: - description: TO FILL MANUALLY - example: the World's Best Airport - type: string - type: array - quantity: - description: TO FILL MANUALLY - example: 5.0 sq mi - items: - description: TO FILL MANUALLY - example: 5.0 sq mi - type: string - type: array - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v7.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - March 27, 2023 - description: TO FILL MANUALLY - input: - type: object - required: - - - text - - properties: - text: - x-name: text - type: string - default: True - example: Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation. - description: |+ - This text - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v7.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - March 27, 2023 + description: TO FILL MANUALLY + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." + description: |+ + This text + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 6c8ff235e1db353a05bac1b333fa59f613560ce7 Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Mon, 27 Mar 2023 09:45:54 +0530 Subject: [PATCH 5783/5916] Update englishnlp.yaml --- nlp/englishnlp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/englishnlp.yaml b/nlp/englishnlp.yaml index eb3cbe3fa..9e6eb9461 100644 --- a/nlp/englishnlp.yaml +++ b/nlp/englishnlp.yaml @@ -9,7 +9,7 @@ info: TO FILL MANUALLY x-subscribelink: TO FILL MANUALLY servers: - - url: 'https://api.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v7.0.0" description: "Published Date - March 27, 2023" From b7003510f24f81ace7229e7fd591cf39211383ae Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Mon, 27 Mar 2023 09:53:37 +0530 Subject: [PATCH 5784/5916] Update englishnlp.yaml --- nlp/englishnlp.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/englishnlp.yaml b/nlp/englishnlp.yaml index 9e6eb9461..547dc3020 100644 --- a/nlp/englishnlp.yaml +++ b/nlp/englishnlp.yaml @@ -14,7 +14,7 @@ tags: - name: "v7.0.0" description: "Published Date - March 27, 2023" paths: - /microservices/nlp/englishnlp/v7/getpredictions: + /microservices/nlp/fmenglishnlp/v7/getpredictions: post: tags: - v7.0.0 From 3ee803ec40fecaea014ce26beed50683e21a0b11 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 05:41:59 +0000 Subject: [PATCH 5785/5916] Pushed Openapi files --- nlp/fmenglishnlp.yaml | 295 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 295 insertions(+) create mode 100644 nlp/fmenglishnlp.yaml diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml new file mode 100644 index 000000000..97fb197f9 --- /dev/null +++ b/nlp/fmenglishnlp.yaml @@ -0,0 +1,295 @@ + +openapi: 3.0.1 +info: + title: Spacy NER + description: |+ + "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. + +The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + +This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + +Do ensure that your text is within 5000 characters." + version: v7.0.0 + x-additionalinfo: |+ + TO FILL MANUALLY + x-subscribelink: TO FILL MANUALLY +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v7.0.0" + description: "Published Date - March 27, 2023" +paths: + /microservices//fmenglishnlp/v7/getpredictions: + post: + tags: + - v7.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + fac: + - Changi Airport + - the first Airport + gpe: + - Changi + - Singapore + loc: + - Asia + - Marina Bay + org: + - the World's Best Airport + - Skytrax + - Jetstar Asia Airways + - WSSS + - ICAO + - FAA + - BOC Aviation + - Changi Airport Group + quantity: + - 5.0 sq mi + - approximately 20 km + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + fac: + description: TO FILL MANUALLY + example: Changi Airport + items: + description: TO FILL MANUALLY + example: Changi Airport + type: string + type: array + gpe: + description: TO FILL MANUALLY + example: Changi + items: + description: TO FILL MANUALLY + example: Changi + type: string + type: array + loc: + description: TO FILL MANUALLY + example: Asia + items: + description: TO FILL MANUALLY + example: Asia + type: string + type: array + org: + description: TO FILL MANUALLY + example: the World's Best Airport + items: + description: TO FILL MANUALLY + example: the World's Best Airport + type: string + type: array + quantity: + description: TO FILL MANUALLY + example: 5.0 sq mi + items: + description: TO FILL MANUALLY + example: 5.0 sq mi + type: string + type: array + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v7.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - March 27, 2023 + description: TO FILL MANUALLY + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation. + description: |+ + "This text"" + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 27d5bd6c4b54d70eeb09fa205e713fc52da12470 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 06:13:23 +0000 Subject: [PATCH 5786/5916] Pushed Openapi files From 32bed09d35b0d62ff9214d1381c096ee7d777d29 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 06:16:41 +0000 Subject: [PATCH 5787/5916] Pushed Openapi files --- nlp/fmenglishnlp.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index 97fb197f9..767bd68fb 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -20,7 +20,7 @@ tags: - name: "v7.0.0" description: "Published Date - March 27, 2023" paths: - /microservices//fmenglishnlp/v7/getpredictions: + /microservices/nlp/fmenglishnlp/v7/getpredictions: post: tags: - v7.0.0 @@ -281,9 +281,9 @@ components: x-name: text type: string default: True - example: Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation. + example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." description: |+ - "This text"" + "This text" securitySchemes: From 68413831af78474a89c8258300fc668aac0a4ff0 Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Mon, 27 Mar 2023 11:52:10 +0530 Subject: [PATCH 5788/5916] Update fmenglishnlp.yaml --- nlp/fmenglishnlp.yaml | 582 +++++++++++++++++++++--------------------- 1 file changed, 291 insertions(+), 291 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index 767bd68fb..457228bc1 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -1,295 +1,295 @@ - -openapi: 3.0.1 -info: - title: Spacy NER - description: |+ + +openapi: 3.0.1 +info: + title: Spacy NER + description: |+ "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. -The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. + + This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + + Do ensure that your text is within 5000 characters." + version: v7.0.0 + x-additionalinfo: |+ + TO FILL MANUALLY + x-subscribelink: TO FILL MANUALLY +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v7.0.0" + description: "Published Date - March 27, 2023" +paths: + /microservices/nlp/fmenglishnlp/v7/getpredictions: + post: + tags: + - v7.0.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + fac: + - Changi Airport + - the first Airport + gpe: + - Changi + - Singapore + loc: + - Asia + - Marina Bay + org: + - the World's Best Airport + - Skytrax + - Jetstar Asia Airways + - WSSS + - ICAO + - FAA + - BOC Aviation + - Changi Airport Group + quantity: + - 5.0 sq mi + - approximately 20 km -This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + fac: + description: TO FILL MANUALLY + example: Changi Airport + items: + description: TO FILL MANUALLY + example: Changi Airport + type: string + type: array + gpe: + description: TO FILL MANUALLY + example: Changi + items: + description: TO FILL MANUALLY + example: Changi + type: string + type: array + loc: + description: TO FILL MANUALLY + example: Asia + items: + description: TO FILL MANUALLY + example: Asia + type: string + type: array + org: + description: TO FILL MANUALLY + example: the World's Best Airport + items: + description: TO FILL MANUALLY + example: the World's Best Airport + type: string + type: array + quantity: + description: TO FILL MANUALLY + example: 5.0 sq mi + items: + description: TO FILL MANUALLY + example: 5.0 sq mi + type: string + type: array -Do ensure that your text is within 5000 characters." - version: v7.0.0 - x-additionalinfo: |+ - TO FILL MANUALLY - x-subscribelink: TO FILL MANUALLY -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v7.0.0" - description: "Published Date - March 27, 2023" -paths: - /microservices/nlp/fmenglishnlp/v7/getpredictions: - post: - tags: - - v7.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - fac: - - Changi Airport - - the first Airport - gpe: - - Changi - - Singapore - loc: - - Asia - - Marina Bay - org: - - the World's Best Airport - - Skytrax - - Jetstar Asia Airways - - WSSS - - ICAO - - FAA - - BOC Aviation - - Changi Airport Group - quantity: - - 5.0 sq mi - - approximately 20 km - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - fac: - description: TO FILL MANUALLY - example: Changi Airport - items: - description: TO FILL MANUALLY - example: Changi Airport - type: string - type: array - gpe: - description: TO FILL MANUALLY - example: Changi - items: - description: TO FILL MANUALLY - example: Changi - type: string - type: array - loc: - description: TO FILL MANUALLY - example: Asia - items: - description: TO FILL MANUALLY - example: Asia - type: string - type: array - org: - description: TO FILL MANUALLY - example: the World's Best Airport - items: - description: TO FILL MANUALLY - example: the World's Best Airport - type: string - type: array - quantity: - description: TO FILL MANUALLY - example: 5.0 sq mi - items: - description: TO FILL MANUALLY - example: 5.0 sq mi - type: string - type: array - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v7.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - March 27, 2023 - description: TO FILL MANUALLY - input: - type: object - required: - - - text - - properties: - text: - x-name: text - type: string - default: True - example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." - description: |+ - "This text" - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v7.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - March 27, 2023 + description: TO FILL MANUALLY + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." + description: |+ + "This text" + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 3395fcf4bd4ddcc4d91eb8c4424fcf3ecad13cc0 Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Mon, 27 Mar 2023 12:02:37 +0530 Subject: [PATCH 5789/5916] Update fmenglishnlp.yaml --- nlp/fmenglishnlp.yaml | 11 ++--------- 1 file changed, 2 insertions(+), 9 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index 457228bc1..b63fc0c4f 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -1,15 +1,8 @@ - openapi: 3.0.1 info: title: Spacy NER description: |+ - "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. - - The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. - - This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. - - Do ensure that your text is within 5000 characters." + "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model.The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals.This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc.Do ensure that your text is within 5000 characters." version: v7.0.0 x-additionalinfo: |+ TO FILL MANUALLY @@ -283,7 +276,7 @@ components: default: True example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." description: |+ - "This text" + This text securitySchemes: From 621c6981455831aaf60ce03d2d8ac92c4f45cab3 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 06:50:26 +0000 Subject: [PATCH 5790/5916] Pushed Openapi files --- nlp/fmenglishnlp.yaml | 577 +++++++++++++++++++++--------------------- 1 file changed, 289 insertions(+), 288 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index b63fc0c4f..d3241b0de 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -1,288 +1,289 @@ -openapi: 3.0.1 -info: - title: Spacy NER - description: |+ - "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model.The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals.This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc.Do ensure that your text is within 5000 characters." - version: v7.0.0 - x-additionalinfo: |+ - TO FILL MANUALLY - x-subscribelink: TO FILL MANUALLY -servers: - - url: 'https://dev-apis.sentient.io' -tags: -- name: "v7.0.0" - description: "Published Date - March 27, 2023" -paths: - /microservices/nlp/fmenglishnlp/v7/getpredictions: - post: - tags: - - v7.0.0 - responses: - '200': - description: success response - content: - application/json: - schema: - $ref: '#/components/schemas/success' - example: - results: - fac: - - Changi Airport - - the first Airport - gpe: - - Changi - - Singapore - loc: - - Asia - - Marina Bay - org: - - the World's Best Airport - - Skytrax - - Jetstar Asia Airways - - WSSS - - ICAO - - FAA - - BOC Aviation - - Changi Airport Group - quantity: - - 5.0 sq mi - - approximately 20 km - - message: Successfully Processed - status: Success - '401': - description: Unauthorized - content: - application/json: - schema: - $ref: '#/components/schemas/unauthorized' - '402': - description: Payment Required - content: - application/json: - schema: - $ref: '#/components/schemas/paymentrequired' - '403': - description: Forbidden - content: - application/json: - schema: - $ref: '#/components/schemas/forbidden' - '404': - description: Not Found - content: - application/json: - schema: - $ref: '#/components/schemas/notfound' - '419': - description: Input Field Missing - content: - application/json: - schema: - $ref: '#/components/schemas/inputfieldmissing' - '413': - description: Payload Too Large - content: - application/json: - schema: - $ref: '#/components/schemas/inputlimitexceeded' - '415': - description: Unsupported Media Type - content: - application/json: - schema: - $ref: '#/components/schemas/invalidinput' - '500': - description: Internal Server error - content: - application/json: - schema: - $ref: '#/components/schemas/servererror' - '504': - description: Gateway Timeout - content: - application/json: - schema: - $ref: '#/components/schemas/gatewaytimeout' - security: - - APIAuthorizer: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/input' - required: true -components: - schemas: - success: - type: object - properties: - results: - type: object - description: The result of the API call. - example: { "" } - properties: - fac: - description: TO FILL MANUALLY - example: Changi Airport - items: - description: TO FILL MANUALLY - example: Changi Airport - type: string - type: array - gpe: - description: TO FILL MANUALLY - example: Changi - items: - description: TO FILL MANUALLY - example: Changi - type: string - type: array - loc: - description: TO FILL MANUALLY - example: Asia - items: - description: TO FILL MANUALLY - example: Asia - type: string - type: array - org: - description: TO FILL MANUALLY - example: the World's Best Airport - items: - description: TO FILL MANUALLY - example: the World's Best Airport - type: string - type: array - quantity: - description: TO FILL MANUALLY - example: 5.0 sq mi - items: - description: TO FILL MANUALLY - example: 5.0 sq mi - type: string - type: array - - message: - type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success - description: The status of the API call success/failure - - unauthorized: - type: object - properties: - message: - type: string - example: Missing Authentication Token - status: - type: string - example: Failure - forbidden: - type: object - properties: - message: - type: string - example: Access Denied Unauthorized User - status: - type: string - example: Failure - paymentrequired: - type: object - properties: - message: - type: string - example: Insufficient Credits Kindly Top Up - status: - type: string - example: Failure - notfound: - type: object - properties: - message: - type: string - example: Invalid Request URL - status: - type: string - example: Failure - invalidinput: - type: object - properties: - message: - type: string - example: Invalid Input - status: - type: string - example: Failure - servererror: - type: object - properties: - message: - type: string - example: Internal Server error - status: - type: string - example: Failure - gatewaytimeout: - type: object - properties: - message: - type: string - example: Request Timeout - status: - type: string - example: Failure - inputfieldmissing: - type: object - properties: - message: - type: string - example: Input Field Missing - status: - type: string - example: Failure - inputlimitexceeded: - type: object - properties: - message: - type: string - example: Input Limit Exceeded - status: - type: string - example: Failure - versions: - type: object - properties: - v7.0.0: - type: array - items: - oneOf: - - type: string - example: Published Date - March 27, 2023 - description: TO FILL MANUALLY - input: - type: object - required: - - - text - - properties: - text: - x-name: text - type: string - default: True - example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." - description: |+ - This text - - - securitySchemes: - APIAuthorizer: - type: apiKey - name: x-api-key - in: header - x-amazon-apigateway-authtype: custom - description: Authentication is done using the x-api-key in the request header + +openapi: 3.0.1 +info: + title: Spacy NER + description: |+ + "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc.Do ensure that your text is within 5000 characters." + version: v7.1.0 + x-additionalinfo: |+ + TO FILL MANUALLY + x-subscribelink: TO FILL MANUALLY +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v7.1.0" + description: "Published Date - March 27, 2023" +paths: + /microservices/nlp/fmenglishnlp/v7/getpredictions: + post: + tags: + - v7.1.0 + responses: + '200': + description: success response + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + results: + fac: + - Changi Airport + - the first Airport + gpe: + - Changi + - Singapore + loc: + - Asia + - Marina Bay + org: + - the World's Best Airport + - Skytrax + - Jetstar Asia Airways + - WSSS + - ICAO + - FAA + - BOC Aviation + - Changi Airport Group + quantity: + - 5.0 sq mi + - approximately 20 km + + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + results: + type: object + description: The result of the API call. + example: { "" } + properties: + fac: + description: TO FILL MANUALLY + example: Changi Airport + items: + description: TO FILL MANUALLY + example: Changi Airport + type: string + type: array + gpe: + description: TO FILL MANUALLY + example: Changi + items: + description: TO FILL MANUALLY + example: Changi + type: string + type: array + loc: + description: TO FILL MANUALLY + example: Asia + items: + description: TO FILL MANUALLY + example: Asia + type: string + type: array + org: + description: TO FILL MANUALLY + example: the World's Best Airport + items: + description: TO FILL MANUALLY + example: the World's Best Airport + type: string + type: array + quantity: + description: TO FILL MANUALLY + example: 5.0 sq mi + items: + description: TO FILL MANUALLY + example: 5.0 sq mi + type: string + type: array + + message: + type: string + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success + description: The status of the API call success/failure + + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid Input + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server error + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + versions: + type: object + properties: + v7.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - March 27, 2023 + description: TO FILL MANUALLY + input: + type: object + required: + + - text + + properties: + text: + x-name: text + type: string + default: True + example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." + description: |+ + "This text" + + + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 536151a8103d27a30d78bc40d99c57a98b75dd8c Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 07:02:28 +0000 Subject: [PATCH 5791/5916] Pushed Openapi files --- nlp/fmenglishnlp.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index d3241b0de..3a8c51feb 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -4,20 +4,20 @@ info: title: Spacy NER description: |+ "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc.Do ensure that your text is within 5000 characters." - version: v7.1.0 + version: v7.2.0 x-additionalinfo: |+ TO FILL MANUALLY x-subscribelink: TO FILL MANUALLY servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v7.1.0" +- name: "v7.2.0" description: "Published Date - March 27, 2023" paths: /microservices/nlp/fmenglishnlp/v7/getpredictions: post: tags: - - v7.1.0 + - v7.2.0 responses: '200': description: success response @@ -257,7 +257,7 @@ components: versions: type: object properties: - v7.1.0: + v7.2.0: type: array items: oneOf: From e838cfce47b61fe7169a9fcdcd82db0bab7b78ae Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 07:52:51 +0000 Subject: [PATCH 5792/5916] Pushed Openapi files --- nlp/fmenglishnlp.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index 3a8c51feb..e61d0ef7f 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -3,21 +3,21 @@ openapi: 3.0.1 info: title: Spacy NER description: |+ - "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc.Do ensure that your text is within 5000 characters." - version: v7.2.0 + "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. Do ensure that your text is within 5000 characters." + version: v7.4.0 x-additionalinfo: |+ TO FILL MANUALLY x-subscribelink: TO FILL MANUALLY servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v7.2.0" +- name: "v7.4.0" description: "Published Date - March 27, 2023" paths: /microservices/nlp/fmenglishnlp/v7/getpredictions: post: tags: - - v7.2.0 + - v7.4.0 responses: '200': description: success response @@ -257,7 +257,7 @@ components: versions: type: object properties: - v7.2.0: + v7.4.0: type: array items: oneOf: @@ -277,7 +277,7 @@ components: default: True example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." description: |+ - "This text" + "This in mandatory" securitySchemes: From 289159c70f7b421e5248fc3ec5eef96828e926eb Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 08:08:05 +0000 Subject: [PATCH 5793/5916] Pushed Openapi files From f7e57828b8a49bf20b61b4f63a933f7b66e6a1ab Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Mon, 27 Mar 2023 14:39:52 +0530 Subject: [PATCH 5794/5916] Update fmenglishnlp.yaml --- nlp/fmenglishnlp.yaml | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index e61d0ef7f..0773441b8 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -5,9 +5,19 @@ info: description: |+ "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. Do ensure that your text is within 5000 characters." version: v7.4.0 - x-additionalinfo: |+ - TO FILL MANUALLY - x-subscribelink: TO FILL MANUALLY + x-apitype: small file + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + File size cannot exceed 10 MB. + x-apidetailsdesc: |+ + REST API for AI Models . servers: - url: 'https://dev-apis.sentient.io' tags: From c5ab67736b4eae36d4a916f11d93addc2d59e78d Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 09:17:30 +0000 Subject: [PATCH 5795/5916] Pushed Openapi files --- nlp/fmenglishnlp.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index 0773441b8..cf74d37a2 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -18,6 +18,7 @@ info: File size cannot exceed 10 MB. x-apidetailsdesc: |+ REST API for AI Models . + servers: - url: 'https://dev-apis.sentient.io' tags: @@ -273,7 +274,7 @@ components: oneOf: - type: string example: Published Date - March 27, 2023 - description: TO FILL MANUALLY + description: Initial Version input: type: object required: From b152f5080b53782866fd4f93f87da8c1da454ae9 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 14:15:27 +0000 Subject: [PATCH 5796/5916] Pushed Openapi files From 0d1112d8d6933efa108da387c07aaa158b7ce56e Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 14:22:56 +0000 Subject: [PATCH 5797/5916] Pushed Openapi files From 66887ad8dc06c432e83a541d45968f2783864795 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 16:03:01 +0000 Subject: [PATCH 5798/5916] Pushed Openapi files --- nlp/fmenglishnlp.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index cf74d37a2..5d7a8bf47 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -3,8 +3,8 @@ openapi: 3.0.1 info: title: Spacy NER description: |+ - "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model. The named-entity classes extracted include persons, nationalities, religious groups, political groups, buildings and facilities, organisations, geopolitical, locations, products, events, works of art, laws, languages, dates and time, percentages, monetary values, quantities, ordinals and cardinals. This microservice automatically extracts structured information from unstructured text data such as chatlogs, emails, news articles, etc. Do ensure that your text is within 5000 characters." - version: v7.4.0 + "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model." + version: v8.0.0 x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -22,13 +22,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v7.4.0" +- name: "v8.0.0" description: "Published Date - March 27, 2023" paths: - /microservices/nlp/fmenglishnlp/v7/getpredictions: + /microservices/nlp/fmenglishnlp/v8/getpredictions: post: tags: - - v7.4.0 + - v8.0.0 responses: '200': description: success response @@ -268,7 +268,7 @@ components: versions: type: object properties: - v7.4.0: + v8.0.0: type: array items: oneOf: @@ -288,7 +288,7 @@ components: default: True example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." description: |+ - "This in mandatory" + "This is a mandatory parameter" securitySchemes: From deaeea35408364788c2b3d06723056295ccc4aed Mon Sep 17 00:00:00 2001 From: karunakarv Date: Mon, 27 Mar 2023 16:18:15 +0000 Subject: [PATCH 5799/5916] Pushed Openapi files --- nlp/fmenglishnlp.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index 5d7a8bf47..7247ceded 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -4,7 +4,7 @@ info: title: Spacy NER description: |+ "This NLP microservice locates and classifies the named-entities classes from input unstructured English text, based on the spaCy model." - version: v8.0.0 + version: v9.0.0 x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call @@ -22,13 +22,13 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v8.0.0" +- name: "v9.0.0" description: "Published Date - March 27, 2023" paths: - /microservices/nlp/fmenglishnlp/v8/getpredictions: + /microservices/nlp/fmenglishnlp/v9/getpredictions: post: tags: - - v8.0.0 + - v9.0.0 responses: '200': description: success response @@ -268,7 +268,7 @@ components: versions: type: object properties: - v8.0.0: + v9.0.0: type: array items: oneOf: @@ -288,7 +288,7 @@ components: default: True example: "Singapore Changi Airport, commonly known as Changi Airport (IATA: SIN, ICAO: WSSS, FAA LID: SIN), is a major civilian airport that serves Singapore, and is one of the largest transportation hubs in Asia. As one of the world's busiest airports by international passenger and cargo traffic, it is currently rated the World's Best Airport by Skytrax, the first Airport in the world to do so for eight consecutive years.[10][11] It has also been rated as the one of the world's cleanest airports and highly rated international transit airports.[12][13]The airport is located in Changi, at the eastern end of Singapore, approximately 20 km (12 mi)[14] from Marina Bay (Singapore's Downtown Core), on a 13-square-kilometre (5.0 sq mi) site. The airport is operated by Changi Airport Group and it is the home base of Singapore Airlines,[15] Singapore Airlines Cargo,[15] SilkAir,[15] Scoot, Jetstar Asia Airways and BOC Aviation." description: |+ - "This is a mandatory parameter" + "This is mandatory input parameter" securitySchemes: From dfd3dafd83f78cb9356a5fb50dfd4f1bfdb2cf04 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Wed, 29 Mar 2023 03:06:07 +0000 Subject: [PATCH 5800/5916] Pushed Openapi files --- nlp/fmenglishnlp.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/fmenglishnlp.yaml b/nlp/fmenglishnlp.yaml index 7247ceded..3cbbff161 100644 --- a/nlp/fmenglishnlp.yaml +++ b/nlp/fmenglishnlp.yaml @@ -23,7 +23,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v9.0.0" - description: "Published Date - March 27, 2023" + description: "Published Date - March 29, 2023" paths: /microservices/nlp/fmenglishnlp/v9/getpredictions: post: @@ -273,7 +273,7 @@ components: items: oneOf: - type: string - example: Published Date - March 27, 2023 + example: Published Date - March 29, 2023 description: Initial Version input: type: object From 8861afa7d0b6f1fa71ed3d338f36b18a80a9ee2b Mon Sep 17 00:00:00 2001 From: karunakarv Date: Wed, 29 Mar 2023 03:26:26 +0000 Subject: [PATCH 5801/5916] Pushed Openapi files From 46066fbbc23b9c618353c1ad684e6bd8acdda91c Mon Sep 17 00:00:00 2001 From: karunakarv Date: Wed, 29 Mar 2023 03:34:50 +0000 Subject: [PATCH 5802/5916] Pushed Openapi files From 6dd9a127a91d6a1fd2821f725f8287cc64be375a Mon Sep 17 00:00:00 2001 From: karunakarv Date: Wed, 29 Mar 2023 03:48:32 +0000 Subject: [PATCH 5803/5916] Pushed Openapi files From e71140c0549337cc07f46ef562f0d9c68bf850d5 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Wed, 29 Mar 2023 03:59:15 +0000 Subject: [PATCH 5804/5916] Pushed Openapi files From 99de7a8b01a1f5e030fb36a7ceead5e5bfa6c238 Mon Sep 17 00:00:00 2001 From: karunakarv Date: Wed, 29 Mar 2023 04:06:42 +0000 Subject: [PATCH 5805/5916] Pushed Openapi files From a82adb828d1509121eae76b54fa07e95d48976bd Mon Sep 17 00:00:00 2001 From: karunakarv Date: Wed, 29 Mar 2023 04:15:10 +0000 Subject: [PATCH 5806/5916] Pushed Openapi files From b68f4ba589948416a743908d232d1105e6f6b10b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 21 Apr 2023 10:20:02 +0530 Subject: [PATCH 5807/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index f57502026..fcf5602f5 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Aug 30, 2022" From 80255915662e6b91649a8bc9dfe515612ca90ca9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 21 Apr 2023 13:14:44 +0530 Subject: [PATCH 5808/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index fcf5602f5..0b0891edf 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -274,7 +274,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v1.0.0 From 088f4a4fc12ed2c80f30799bf33ec6137985c8f8 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 24 Apr 2023 08:09:16 +0530 Subject: [PATCH 5809/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 0b0891edf..1add106c1 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Aug 30, 2022" From 45c6a320adb58ad48a231c687aa8221b335977d4 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 24 Apr 2023 11:03:17 +0530 Subject: [PATCH 5810/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index ded51d948..1a49d8fe1 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Mar 08, 2023" From 558471fd3df8a0162a7ca5a5281c07f4e3344f43 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 24 Apr 2023 15:35:30 +0530 Subject: [PATCH 5811/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 1add106c1..f57502026 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -274,7 +274,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - v1.0.0 From c100f15a4bfa0ab5c7b807a944b0075323f26427 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 26 Apr 2023 17:21:24 +0530 Subject: [PATCH 5812/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 1a49d8fe1..ded51d948 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Mar 08, 2023" From 9bd7b170d4df45229cbb83824665e9e3cfb4b948 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Apr 2023 11:55:29 +0530 Subject: [PATCH 5813/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 30 ++++++++++++++++++++---------- 1 file changed, 20 insertions(+), 10 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index ded51d948..6f5aa791a 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -564,22 +564,32 @@ components: additional_param: x-name: additional_param type: object - default: true - properties: - language: - x-name: language - type: string - default: true - example: en - description: |+ - Specify the language code that needs to be converted. + properties: timestamps: x-name: timestamps type: string default: true example: True description: |+ - Specify the timestamps for set timing variation for each sentence. + Specify the timestamps for set timing variation for each sentence. + timestamp_type: + x-name: timestamp_type + type: string + default: true + example: sentence + description: |+ + Specify the timestamp_type. Pick any one from the given list. + ["sentence", "word"] + Default - sentence + model_type: + x-name: model_type + type: string + default: true + example: medium + description: |+ + Specify the model_type. Pick any one from the given list. + ["tiny", "base", "small", "medium", "large-v1", "large-v2"] + Default - medium uploadinput: type: object required: From 07d9e7c3cd7f74ee8623bf1020164fabf7c5ecb8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Thu, 27 Apr 2023 14:00:27 +0530 Subject: [PATCH 5814/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 6f5aa791a..6dd883eaa 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -569,7 +569,7 @@ components: x-name: timestamps type: string default: true - example: True + example: "true" description: |+ Specify the timestamps for set timing variation for each sentence. timestamp_type: From a05eb6e82c9f03185c3864ad5505ff5c667214da Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 8 May 2023 10:36:48 +0530 Subject: [PATCH 5815/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 26 +++++++++++++++++--------- 1 file changed, 17 insertions(+), 9 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 6dd883eaa..a56240a92 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -112,7 +112,7 @@ info: | ba | bashkir | | jw | javanese | | su | sundanese | - version: '0.2.0' + version: '1.0.0' x-subscribelink: whisper_asr_large_file x-apitype: large file x-apitypedescription: |+ @@ -130,15 +130,15 @@ info: servers: - url: 'https://dev-apis.sentient.io' tags: -- name: "v0.2.0" - description: "Published Date - Mar 08, 2023" +- name: "v1.0.0" + description: "Published Date - May 05, 2023" paths: - /async/microservices/voice/whisperasrlp/v0/getuploadurl: + /async/microservices/voice/whisperasrlp/v1/getuploadurl: description: |+ Get the pre-signed url to upload the file. post: tags: - - v0.2.0 + - v1.0.0 responses: '200': description: Ok @@ -237,10 +237,10 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://storage.googleapis.com/lp_user_space_prod/' description: Override base path for the GET /ping operation tags: - - v0.1.0 + - v1.0.0 requestBody: content: multipart/form-data: @@ -256,12 +256,12 @@ paths: $ref: '#/components/schemas/success' example: message: Successfully Processed - /async/microservices/voice/whisperasrlp/v0/getstatus: + /async/microservices/voice/whisperasrlp/v1/getstatus: description: |+ Query for processing status. get: tags: - - v0.1.0 + - v1.0.0 parameters: - in: query name: jid @@ -516,6 +516,14 @@ components: versions: type: object properties: + v1.0.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 05, 2023 + x-details: Timestamp added + description: Latest Version v0.2.0: type: array items: From 2b0c5eab2f37d90dc0bd98b7ff34b29fccfff59b Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 8 May 2023 10:53:30 +0530 Subject: [PATCH 5816/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index a56240a92..a0891a8aa 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - May 05, 2023" From a3c0c2db619e4d7643b3179c8621b77fac024697 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 8 May 2023 11:27:00 +0530 Subject: [PATCH 5817/5916] Create event_capture.yaml --- analytics/event_capture.yaml | 286 +++++++++++++++++++++++++++++++++++ 1 file changed, 286 insertions(+) create mode 100644 analytics/event_capture.yaml diff --git a/analytics/event_capture.yaml b/analytics/event_capture.yaml new file mode 100644 index 000000000..5b69b1616 --- /dev/null +++ b/analytics/event_capture.yaml @@ -0,0 +1,286 @@ +openapi: 3.0.1 +info: + title: Event Capture + description: |+ + This microservice is to capture the events. + version: '0.1.0' + x-subscribelink: add_event + x-apitype: Subscription + x-apitypedescription: |+ + Fast | Single-Call | 10MB/Call + x-inputfilelimit: |+ + Process up to 10MB of data per API call. + x-responsetime: |+ + Response rate is fast due to small data transfer per call made. + x-billingmethod: |+ + The API is billed by per request. + x-notes: |+ + +servers: + - url: 'https://dev-apis.sentient.io' +tags: +- name: "v0.1.0" + description: "Published Date - May 08, 2023" +paths: + /microservices/analytics/eventcapture/v0/addevent: + description: |+ + This API will be used to capture the events. + + post: + tags: + - v0.1.0 + responses: + '200': + description: Ok + content: + application/json: + schema: + $ref: '#/components/schemas/success' + example: + message: Successfully Processed + status: Success + '401': + description: Unauthorized + content: + application/json: + schema: + $ref: '#/components/schemas/unauthorized' + '402': + description: Payment Required + content: + application/json: + schema: + $ref: '#/components/schemas/paymentrequired' + '403': + description: Forbidden + content: + application/json: + schema: + $ref: '#/components/schemas/forbidden' + '404': + description: Not Found + content: + application/json: + schema: + $ref: '#/components/schemas/notfound' + '419': + description: Input Field Missing + content: + application/json: + schema: + $ref: '#/components/schemas/inputfieldmissing' + '413': + description: Payload Too Large + content: + application/json: + schema: + $ref: '#/components/schemas/inputlimitexceeded' + '415': + description: Unsupported Media Type + content: + application/json: + schema: + $ref: '#/components/schemas/invalidinput' + '500': + description: Internal Server Error + content: + application/json: + schema: + $ref: '#/components/schemas/servererror' + '504': + description: Gateway Timeout + content: + application/json: + schema: + $ref: '#/components/schemas/gatewaytimeout' + security: + - APIAuthorizer: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/input' + required: true +components: + schemas: + success: + type: object + properties: + message: + type: string + description: Success Message + example: "Event capture successfully processed" + success: + type: string + description: Status of the event + example: "Success" + forbidden: + type: object + properties: + message: + type: string + example: Access Denied Unauthorized User + status: + type: string + example: Failure + unauthorized: + type: object + properties: + message: + type: string + example: Missing Authentication Token + status: + type: string + example: Failure + invalidinput: + type: object + properties: + message: + type: string + example: Invalid input - Error in URL. + status: + type: string + example: Failure + paymentrequired: + type: object + properties: + message: + type: string + example: Insufficient Credits Kindly Top Up + status: + type: string + example: Failure + gatewaytimeout: + type: object + properties: + message: + type: string + example: Request Timeout + status: + type: string + example: Failure + inputlimitexceeded: + type: object + properties: + message: + type: string + example: Input Limit Exceeded + status: + type: string + example: Failure + notfound: + type: object + properties: + message: + type: string + example: Invalid Request URL + status: + type: string + example: Failure + servererror: + type: object + properties: + message: + type: string + example: Internal Server Error + status: + type: string + example: Failure + inputfieldmissing: + type: object + properties: + message: + type: string + example: Input Field Missing + status: + type: string + example: Failure + versions: + type: object + properties: + v0.1.0: + type: array + items: + oneOf: + - type: string + example: Published Date - May 08, 2023 + x-details: Initial version release + description: Latest Version + input: + type: object + required: + - postcode + properties: + user_name: + type: string + default: true + example: Priya + description: |+ + User name + user_role: + type: string + default: true + example: dc + description: |+ + Specifiy the user role. + page_name: + type: string + default: true + example: home + description: |+ + Specify the page name. + page_url: + type: string + default: true + example: "https://test.brivge.com/home" + description: |+ + Specify the page url + current_page_time: + type: string + default: true + example: 1234 + description: |+ + Specifiy the current page time + event_id: + type: integer + default: true + example: 1 + description: |+ + Specify the event ID + event_name: + type: string + default: true + example: Button + description: |+ + Specify the event name + previous_event_id: + type: integer + default: true + example: 3 + description: |+ + Specify the previous event ID + previous_event_name: + type: string + default: true + example: Add Parts + description: |+ + Specify the previous event name + previous_page_name: + type: string + default: true + example: Login + description: |+ + Specify previous page name + previous_page_url: + type: string + default: true + example: "https://test.brivge.com/Login" + description: |+ + Specify the previous page url + securitySchemes: + APIAuthorizer: + type: apiKey + name: x-api-key + in: header + x-amazon-apigateway-authtype: custom + description: Authentication is done using the x-api-key in the request header From 6015150ea3e072ab9592481fa8b9074641c6dc7e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Mon, 8 May 2023 11:28:25 +0530 Subject: [PATCH 5818/5916] Update index.yaml --- index.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/index.yaml b/index.yaml index e518c321a..85117f814 100644 --- a/index.yaml +++ b/index.yaml @@ -514,6 +514,10 @@ analytics: title: Rule Engine versions: 0.1.0: 'rule_engine.yaml' + event_capture: + title: Event Capture + versions: + 0.1.0: 'event_capture.yaml' content_interest_profile: title: Content Interest Profile versions: From 9f4d150d518d15c4daa0b5096eb711a0d9dae784 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:30:24 +0530 Subject: [PATCH 5819/5916] Update automatic_speech_recognition_chi_large_file.yaml --- ...tic_speech_recognition_chi_large_file.yaml | 202 +++++------------- 1 file changed, 51 insertions(+), 151 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 312f0d741..a56696db4 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,14 +25,14 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" - description: "Published Date - Oct 13, 2022" + description: "Published Date - May 09, 2023" paths: /async/microservices/voice/asrsch/v0/getuploadurl: description: |+ - Get the pre-signed url to upload the file. + Get the token to upload the file. post: tags: - v0.2.0 @@ -44,25 +44,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: content-type: audio/wav - key: 309/495/lp-asrsch/input/4test_5292a71b45184424826c9089c103fb78.wav - policy: 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - x-goog-date: 20220224T062321Z - x-goog-meta-additional_param: '{"inverse_text_normalization": false, "punctuation_prediction": false, "output_type": simplified}' - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 - x-goog-meta-uuid: 5292a71b45184424826c9089c103fb78 - x-goog-signature: 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 - jid: 5292a71b45184424826c9089c103fb78 - request_cost: 1.2675 - url: https://storage.googleapis.com/lp_user_space_prod/ - status: Success + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 36d075917dcd481e9daf858a2549f3b1 + cost: 4.6736 '401': description: Unauthorized content: @@ -125,12 +115,12 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /upload: + /async/largerpayload/upload: description: |+ Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'http://34.87.117.208:5000' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -148,7 +138,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + status_code: 200 + message: Process Started + status: Processing /async/microservices/voice/asrsch/v0/getstatus: description: |+ Query for processing status. @@ -169,10 +161,10 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 + message: File Processing Started status: Processing + request_cost: 0.1218 + last_updated: 2023-04-19 14:22:40 '401': description: Unauthorized @@ -235,95 +227,59 @@ components: getsuccess: type: object properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated message: type: string example: File Processing Successfully Started description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: http://34.87.117.208:5000/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: + token: type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - request_cost: + cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -413,7 +369,7 @@ components: items: oneOf: - type: string - example: Published Date - Oct 13, 2022 + example: Published Date - May 09, 2023 x-details: Output Parameters Aligned description: Latest Version v0.1.2: @@ -443,7 +399,9 @@ components: input: type: object required: + - content_type - file_name + - file_size properties: file_name: x-name: file_name @@ -504,78 +462,20 @@ components: uploadinput: type: object required: - - filePath + - file + - token properties: file: type: string format: binary default: true - example: sample.wav + example: '4 test.wav' description: file - content-type: - type: string - default: false - example: audio/wav - description: Fields - key: + token: type: string - default: false - example: 309/495/lp-asrsch/input/4test_5292a71b45184424826c9089c103fb78.wav - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - description: Fields - x-goog-date: - type: string - default: false - example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"inverse_text_normalization\": false, \"punctuation_prediction\": false, \"output_type\": \"simplified\"}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 309 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 495 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 - description: Fields - status: - type: string - example: Success - description: The status of the API call success/failure + default: true + example: 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 + description: Fields securitySchemes: APIAuthorizer: type: apiKey From 85d757692c5bfdab2c459a8f5b930b4671e2e069 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:32:08 +0530 Subject: [PATCH 5820/5916] Update automatic_speech_recognition_eng_large_file.yaml --- ...tic_speech_recognition_eng_large_file.yaml | 208 +++++------------- 1 file changed, 57 insertions(+), 151 deletions(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 5b656dbb4..2b7e1ee4d 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -30,12 +30,14 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Mar 01, 2022" + description: "Published Date - May 09, 2023" paths: /async/microservices/voice/asr/v0/getuploadurl: + description: |+ + Get the token to upload the file. post: tags: - v0.1.0 @@ -47,29 +49,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: content-type: audio/wav - key: >- - 309/495/lp-asr/input/4test_2ef1b6f8e81042c99dec85fe048984c4.wav - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request - x-goog-date: 20211220T044135Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 - x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f - x-goog-signature: >- - 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 - jid: e4ff367c93664fb9acfa40d9a4c6e43f - request_cost: 0.3323 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 36d075917dcd481e9daf858a2549f3b1 + cost: 4.6373 '401': description: Unauthorized content: @@ -132,12 +120,12 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /upload: + /async/largerpayload/upload: description: |+ Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'http://34.87.117.208:5000' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -155,7 +143,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + status_code: 200 + message: Process Started + status: Processing /async/microservices/voice/asr/v0/getstatus: description: |+ Query for processing status. @@ -176,11 +166,11 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: 'Dec 20, 2021' + output_url": "https://s3.ap-southeast-1.wasabisys.com/lpuserspaceprod/309/495/lp-asrsch/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.3323 - status: Success + status: "Success" + request_cost: 0.1218 + last_updated: "2023-04-19 14:22:40" '401': description: Unauthorized @@ -243,95 +233,63 @@ components: getsuccess: type: object properties: - last_updated: + output_url: type: string - example: 2021-07-06 12:50:30 - description: Last updated + example: "https://s3.ap-southeast-1.wasabisys.com/lpuserspaceprod/309/495/lp-asr/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" + description: pre-signed url generated for the output file. message: type: string - example: File Processing Successfully Started + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: http://34.87.117.208:5000/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: + token: type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - request_cost: + cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -421,13 +379,15 @@ components: items: oneOf: - type: string - example: Published Date - Mar 01, 2022 + example: Published Date - May 09, 2023 x-details: Initial version release description: Latest Version input: type: object required: + - content_type - file_name + - file_size properties: file_name: x-name: file_name @@ -481,74 +441,20 @@ components: uploadinput: type: object required: - - file + - file + - token properties: file: type: string format: binary default: true - example: sample.wav + example: '4 test.wav' description: file - content-type: - type: string - default: false - example: application/pdf - description: Fields - key: + token: type: string - default: false - example: 309/495/lp-asr/input/4test_2ef1b6f8e81042c99dec85fe048984c4.wav - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-date: - type: string - default: false - example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"model\": \"prepared_speech\", \"threshold\": 0.25,\"voice_activity_detection\":\"false\"}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 1 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 2 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 7970619677c2a0dc26af460a7d62f883528af9e1e8a1459aa09671ee0fbf15f7a611b7bd8c382fd8d39f74fe212a7e3db1768535f0c1ccff062239627ebe49195cc2c42c2238eb5e268ecaca49e647eb244eb023f3d4ba97922fd1228aab677a7176b9f84fef1c909897ccf0e1e8f9e3d030dbfc9892c7c026060dcf20b4ad4598f346de478b0f8495d9bce292b83a5b3bfa13c7dc08a2ce162f652c3bce91191167eeee3019b6b196e4271f5e3a6a1fe067f70acdaa082e6091c2f3ac8182bca8be41afc90600fc32dcdb3072acb43aaf90910a38c4aec9e3a42fdd21deb5ce936d8269e9ed011377ef058cac20d336218a35858753bd99b4ffdb1db171f0f4 - description: Fields + default: true + example: 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 + description: Fields securitySchemes: APIAuthorizer: type: apiKey From c0cab0065513418558f62cc95b7b57d875c1f98b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:33:59 +0530 Subject: [PATCH 5821/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 2b7e1ee4d..e708a7a56 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -125,7 +125,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'http://34.87.117.208:5000' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From b158df00f9606b9489595cbd34cbc59d211012f2 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:34:22 +0530 Subject: [PATCH 5822/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index a56696db4..b64d8d31e 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -120,7 +120,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'http://34.87.117.208:5000' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From a9a8690a7b09ff7e061417ea401981bd479e3899 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:34:40 +0530 Subject: [PATCH 5823/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 208 ++++++---------------- 1 file changed, 54 insertions(+), 154 deletions(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index bb413d18c..49000d4f0 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -22,14 +22,14 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jul 08, 2022" + description: "Published Date - May 09, 2023" paths: /async/microservices/voice/nsd/v0/getuploadurl: description: |+ - Get the pre-signed url to upload the file. + Get the token to upload the file. post: tags: - v0.1.0 @@ -41,25 +41,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: content-type: audio/wav - key: 309/495/lp-nsd/input/4test_2ef0f17c9bbf455586e85741d38ef521.wav - policy: 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - x-goog-date: 20220224T062321Z - x-goog-meta-additional_param: "{\"exact_speaker_count\": 2, \"max_speaker_count\": 2}" - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 - x-goog-meta-uuid: 5292a71b45184424826c9089c103fb78 - x-goog-signature: 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 - jid: 5292a71b45184424826c9089c103fb78 - request_cost: 1.2675 - url: https://storage.googleapis.com/user_space_dev/ - status: Success + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 8f1e8179e6934e3aad9563bc3707ff88 + cost: 4.6673 '401': description: Unauthorized content: @@ -122,12 +112,12 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /upload: + /async/largerpayload/upload: description: |+ Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -145,7 +135,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + status_code: 200 + message: Process Started + status: Processing /async/microservices/voice/nsd/v0/getstatus: description: |+ Query for processing status. @@ -157,7 +149,7 @@ paths: name: jid schema: type: string - example: 36d075917dcd481e9daf858a2549f3b1 + example: 8f1e8179e6934e3aad9563bc3707ff88 responses: '200': description: Ok @@ -165,11 +157,11 @@ paths: application/json: schema: $ref: '#/components/schemas/getsuccess' - example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 + example: + message: File Processing Started status: Processing + request_cost: 0.1218 + last_updated: 2023-04-19 14:22:40 '401': description: Unauthorized @@ -232,95 +224,59 @@ components: getsuccess: type: object properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated message: type: string example: File Processing Successfully Started description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: http://34.87.117.208:5000/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: + token: type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - request_cost: + cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -410,13 +366,15 @@ components: items: oneOf: - type: string - example: Published Date - Jul 08, 2022 + example: Published Date - May 09, 2023 x-details: Initial version release description: Latest Version input: type: object required: + - content_type - file_name + - file_size properties: file_name: x-name: file_name @@ -454,7 +412,7 @@ components: x-name: exact_speaker_count type: integer format: int32 - default: False + default: false example: 2 description: |+ Number of speakers in the audio, known in advance by the user. @@ -462,85 +420,27 @@ components: x-name: max_speaker_count type: integer format: int32 - default: False + default: false example: 2 description: |+ Maximum number of speakers in the audio. Default value is 20 uploadinput: type: object required: - - filePath + - file + - token properties: file: type: string format: binary default: true - example: sample.wav + example: '4 test.wav' description: file - content-type: + token: type: string - default: false - example: audio/wav - description: Fields - key: - type: string - default: false - example: 309/495/lp-nsd/input/4test_5292a71b45184424826c9089c103fb78.wav - description: Fields - policy: - type: string - default: false + default: true example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - description: Fields - x-goog-date: - type: string - default: false - example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"exact_speaker_count\": 2, \"max_speaker_count\": 2}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 309 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 495 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 7970619677c2a0dc26af460a7d62f883528af9e1e8a1459aa09671ee0fbf15f7a611b7bd8c382fd8d39f74fe212a7e3db1768535f0c1ccff062239627ebe49195cc2c42c2238eb5e268ecaca49e647eb244eb023f3d4ba97922fd1228aab677a7176b9f84fef1c909897ccf0e1e8f9e3d030dbfc9892c7c026060dcf20b4ad4598f346de478b0f8495d9bce292b83a5b3bfa13c7dc08a2ce162f652c3bce91191167eeee3019b6b196e4271f5e3a6a1fe067f70acdaa082e6091c2f3ac8182bca8be41afc90600fc32dcdb3072acb43aaf90910a38c4aec9e3a42fdd21deb5ce936d8269e9ed011377ef058cac20d336218a35858753bd99b4ffdb1db171f0f4 - description: Fields - status: - type: string - example: Success - description: The status of the API call success/failure + description: Fields securitySchemes: APIAuthorizer: type: apiKey From b962796b1a09e1a485a8fc27961469d3474bfbff Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:38:11 +0530 Subject: [PATCH 5824/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index 49000d4f0..718aedbc2 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -250,7 +250,7 @@ components: properties: url: type: string - example: http://34.87.117.208:5000/upload + example: https://dev-apis.sentient.io/async/largerpayload/upload description: Url to upload file fields: type: object From 16ff08d7cb1ea82fcde37a9393c70e2482293e6f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:38:39 +0530 Subject: [PATCH 5825/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index e708a7a56..466ac0fef 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -263,7 +263,7 @@ components: properties: url: type: string - example: http://34.87.117.208:5000/upload + example: https://dev-apis.sentient.io/async/largerpayload/upload description: Url to upload file fields: type: object From 2491330562f8bbf4a158365a1941b643c17e94ec Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:39:00 +0530 Subject: [PATCH 5826/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index b64d8d31e..67e6b42a9 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -253,7 +253,7 @@ components: properties: url: type: string - example: http://34.87.117.208:5000/upload + example: https://dev-apis.sentient.io/async/largerpayload/upload description: Url to upload file fields: type: object From e79f8abe22a0e0e24d3d44b21d129b1791988e9b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:39:24 +0530 Subject: [PATCH 5827/5916] Update people_counting_large_file.yaml --- .../people_counting_large_file.yaml | 202 +++++------------- 1 file changed, 52 insertions(+), 150 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 0f88d731a..8d5da0490 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -24,14 +24,14 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 30, 2021" + description: "Published Date - May 09, 2023" paths: /async/microservices/cv/peoplecounting/v0/getuploadurl: description: |+ - Get the pre-signed url to upload the file. + Get the token to upload the file. post: tags: - v0.1.0 @@ -43,27 +43,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: - content-type: text/plain - key: 1/2/lp-peoplecounting/input/test_1991d4936ddb4728afaa06cb260b0253.txt - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211123/auto/storage/goog4_request - x-goog-date: 20211123T105846Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '1' - x-goog-meta-uid: '2' - x-goog-meta-uuid: 1991d4936ddb4728afaa06cb260b0253 - x-goog-signature: >- - 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 - jid: 1991d4936ddb4728afaa06cb260b0253 - request_cost: 0 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success + content-type: audio/wav + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 36d075917dcd481e9daf858a2549f3b1 + cost: 4.6373 '401': description: Unauthorized content: @@ -126,12 +114,12 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /upload: + /async/largerpayload/upload: description: |+ Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -149,7 +137,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + status_code: 200 + message: Process Started + status: Processing /async/microservices/cv/peoplecounting/v0/getstatus: description: |+ Query for processing status. @@ -170,10 +160,10 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 + message: File Processing Started status: Processing + request_cost: 0.1218 + last_updated: 2023-04-19 14:22:40 '401': description: Unauthorized @@ -236,95 +226,59 @@ components: getsuccess: type: object properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated message: type: string example: File Processing Successfully Started description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: https://dev-apis.sentient.io/async/largerpayload/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: + token: type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - request_cost: + cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -420,21 +374,23 @@ components: input: type: object required: + - content_type - file_name + - file_size properties: file_name: x-name: file_name type: string default: true format: binary - example: 'sample.mp4' + example: '4 test.wav' description: |+ Name of file to be upload. file_size: x-name: file_size type: integer default: true - example: 1227936 + example: 4746636 description: |+ Size of the file. Maximum size should be 1 GB. content_type: @@ -448,73 +404,19 @@ components: uploadinput: type: object required: - - filePath + - file + - token properties: file: type: string format: binary default: true - example: sample.wav + example: '4 test.wav' description: file - content-type: - type: string - default: false - example: video/mp4 - description: Fields - key: - type: string - default: false - example: 309/495/lp-peoplecounting/input/sample_e10653217c9640fba57c02eb43d8e27b.mp4 - description: Fields - policy: + token: type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - description: Fields - x-goog-date: - type: string - default: false - example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 309 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 495 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 + default: true + example: 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 description: Fields securitySchemes: APIAuthorizer: From 7097ba71fd0ae0ef781e4821895937a7dbc6382e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:41:03 +0530 Subject: [PATCH 5828/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 198 +++++++------------------ 1 file changed, 51 insertions(+), 147 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 6b1ea7775..5be3740f9 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -23,14 +23,14 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Dec 30, 2021" + description: "Published Date - May 09, 2023" paths: /async/microservices/nlp/textsummarisation/v0/getuploadurl: description: |+ - Get the pre-signed url to upload the file. + Get the token to upload the file. post: tags: - v0.1.0 @@ -42,25 +42,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: - content-type: application/pdf - key: 309/495/lp-textsummarisation/input/sample_a6b23b313b134defab37d4da65dbb3fe.pdf - policy: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhcHBsaWNhdGlvbi9wZGYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDQ3NTE2MzZdLHsiY29udGVudC10eXBlIjoiYXBwbGljYXRpb24vcGRmIn0seyJ4LWdvb2ctbWV0YS1hZGRpdGlvbmFsX3BhcmFtIjoie1wicGFzc3dvcmRcIjogXCIqKioqKipcIn0ifSx7IngtZ29vZy1tZXRhLW9pZCI6IjMwOSJ9LHsieC1nb29nLW1ldGEtdWlkIjoiNDk1In0seyJ4LWdvb2ctbWV0YS11cGxvYWRlciI6IjMyZmFlMTczZjEyMjRiNWU4Y2QwMWEzZjZlYzdjYTUwIn0seyJ4LWdvb2ctbWV0YS11dWlkIjoiYTZiMjNiMzEzYjEzNGRlZmFiMzdkNGRhNjVkYmIzZmUifSx7ImJ1Y2tldCI6ImxwX3VzZXJfc3BhY2VfcHJvZCJ9LHsia2V5IjoiMzA5LzQ5NS9scC10ZXh0c3VtbWFyaXNhdGlvbi9pbnB1dC9zYW1wbGVfYTZiMjNiMzEzYjEzNGRlZmFiMzdkNGRhNjVkYmIzZmUucGRmIn0seyJ4LWdvb2ctZGF0ZSI6IjIwMjIwMjI0VDA3MTk0M1oifSx7IngtZ29vZy1jcmVkZW50aWFsIjoic2VudGllbnQtYmlncXVlcnlAc2VudGllbnQtMjMxNTA5LmlhbS5nc2VydmljZWFjY291bnQuY29tLzIwMjIwMjI0L2F1dG8vc3RvcmFnZS9nb29nNF9yZXF1ZXN0In0seyJ4LWdvb2ctYWxnb3JpdGhtIjoiR09PRzQtUlNBLVNIQTI1NiJ9XSwiZXhwaXJhdGlvbiI6IjIwMjItMDItMjRUMDg6MTk6NDMuMjM3MTcxWiJ9 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: sentient-bigquery@sentient-231509.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - x-goog-date: 20220224T071943Z - x-goog-meta-additional_param: '{"password": "******"}' - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 32fae173f1224b5e8cd01a3f6ec7ca50 - x-goog-meta-uuid: a6b23b313b134defab37d4da65dbb3fe - x-goog-signature: 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 - jid: a6b23b313b134defab37d4da65dbb3fe - request_cost: 0.0742 - url: https://storage.googleapis.com/lp_user_space_prod/ - status: Success + content-type: audio/wav + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 36d075917dcd481e9daf858a2549f3b1 + cost: 4.6736 '401': description: Unauthorized content: @@ -123,12 +113,12 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /upload: + /async/largerpayload/upload: description: |+ Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -146,7 +136,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + status_code: 200 + message: Process Started + status: Processing /async/microservices/nlp/textsummarisation/v0/getstatus: description: |+ Query for processing status. @@ -167,10 +159,10 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 + message: File Processing Started status: Processing + request_cost: 0.1218 + last_updated: 2023-04-19 14:22:40 '401': description: Unauthorized @@ -233,95 +225,59 @@ components: getsuccess: type: object properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated message: type: string example: File Processing Successfully Started description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: https://dev-apis.sentient.io/async/largerpayload/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: + token: type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - request_cost: + cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -411,13 +367,15 @@ components: items: oneOf: - type: string - example: Published Date - Dec 30, 2021 + example: Published Date - May 09, 2023 x-details: Initial version release description: Latest Version input: type: object required: + - content_type - file_name + - file_size properties: file_name: x-name: file_name @@ -456,74 +414,20 @@ components: uploadinput: type: object required: - - filePath + - file + - token properties: file: type: string format: binary default: true - example: sample.wav + example: '4 test.wav' description: file - content-type: - type: string - default: false - example: application/pdf - description: Fields - key: - type: string - default: false - example: 309/495/lp-textsummarisation/input/sample_a6b23b313b134defab37d4da65dbb3fe.pdf - description: Fields - policy: + token: type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-date: - type: string - default: false - example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"password\": \"******\"}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 309 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 495 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 + default: true + example: 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 description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 - description: Fieldss securitySchemes: APIAuthorizer: type: apiKey From 20b73bae8ed2beff066f9c71f7c843aa0d84e6db Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:42:39 +0530 Subject: [PATCH 5829/5916] Update thumbnail_generation_large_file.yaml --- .../thumbnail_generation_large_file.yaml | 200 +++++------------- 1 file changed, 50 insertions(+), 150 deletions(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index eb028e7c8..1d76a5221 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -22,14 +22,14 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Jul 13, 2022" + description: "Published Date - May 09, 2023" paths: /async/microservices/cv/thumbnailgeneration/v0/getuploadurl: description: |+ - Get the pre-signed url to upload the file. + Get the token to upload the file. post: tags: - v0.1.0 @@ -41,25 +41,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: content-type: audio/wav - key: 309/495/lp-thumbnailgeneration/input/11.4MB_da02ee86013b44be97ae1c2529067571.m4v - policy: 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - x-goog-date: 20220224T062321Z - x-goog-meta-additional_param: "{\"output_type\": \"jpeg\", \"output_thumbnails\": 4, \"file_type\": \"m4v\", \"output_width\": 360}" - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 95969a80c9a448ff8980e78d9cc8acc9 - x-goog-meta-uuid: 5292a71b45184424826c9089c103fb78 - x-goog-signature: 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 - jid: 5292a71b45184424826c9089c103fb78 - request_cost: 1.2675 - url: https://storage.googleapis.com/lp_user_space_prod/ - status: Success + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 36d075917dcd481e9daf858a2549f3b1 + cost: 4.6736 '401': description: Unauthorized content: @@ -122,12 +112,12 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /upload: + /async/largerpayload/upload: description: |+ Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -145,7 +135,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + status_code: 200 + message: Process Started + status: Processing /async/microservices/cv/thumbnailgeneration/v0/getstatus: description: |+ Query for processing status. @@ -166,10 +158,10 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: '2021-07-06 12:50:30' - message: File Processing Successfully Started - request_cost: 0.086 + message: File Processing Started status: Processing + request_cost: 0.1218 + last_updated: 2023-04-19 14:22:40 '401': description: Unauthorized @@ -232,95 +224,59 @@ components: getsuccess: type: object properties: - last_updated: - type: string - example: 2021-07-06 12:50:30 - description: Last updated message: type: string example: File Processing Successfully Started description: Detail description on the API status + status: + type: string + example: Processing + description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: https://dev-apis.sentient.io/async/largerpayload/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: + token: type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - request_cost: + cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/lp_user_space_prod/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -410,13 +366,15 @@ components: items: oneOf: - type: string - example: Published Date - Jul 13, 2022 + example: Published Date - May 09, 2023 x-details: Initial version release description: Latest Version input: type: object required: + - content_type - file_name + - file_size properties: file_name: x-name: file_name @@ -477,78 +435,20 @@ components: uploadinput: type: object required: - - file + - file + - token properties: file: type: string format: binary default: true - example: sample.wav + example: '4 test.wav' description: file - content-type: - type: string - default: false - example: audio/wav - description: Fields - key: + token: type: string - default: false - example: 309/495/lp-thumbnailgeneration/input/11.4MB_da02ee86013b44be97ae1c2529067571.m4v - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-bigquery@sentient-207310.iam.gserviceaccount.com/20220224/auto/storage/goog4_request - description: Fields - x-goog-date: - type: string - default: false - example: 20220224T045625Z + default: true + example: 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 description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"output_type\": \"jpeg\", \"output_thumbnails\": 1, \"file_type\": \"m4v\", \"output_width\": 360}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 309 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 495 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 - description: Fields - status: - type: string - example: Success - description: The status of the API call success/failure securitySchemes: APIAuthorizer: type: apiKey From cc16adc6fec836fe21e8161808b3178550d84ddf Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 11:44:19 +0530 Subject: [PATCH 5830/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 250 +++++++++--------------------- 1 file changed, 72 insertions(+), 178 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index a0891a8aa..ec9b9be0d 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -112,7 +112,7 @@ info: | ba | bashkir | | jw | javanese | | su | sundanese | - version: '1.0.0' + version: '0.2.0' x-subscribelink: whisper_asr_large_file x-apitype: large file x-apitypedescription: |+ @@ -128,17 +128,17 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: -- name: "v1.0.0" - description: "Published Date - May 05, 2023" +- name: "v0.2.0" + description: "Published Date - May 09, 2023" paths: - /async/microservices/voice/whisperasrlp/v1/getuploadurl: + /async/microservices/voice/whisperasrlp/v0/getuploadurl: description: |+ - Get the pre-signed url to upload the file. + Get the token to upload the file. post: tags: - - v1.0.0 + - v0.2.0 responses: '200': description: Ok @@ -147,29 +147,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: content-type: audio/wav - key: >- - 309/495/lp-whisper/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request - x-goog-date: 20211220T044135Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 - x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f - x-goog-signature: >- - 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 - jid: e4ff367c93664fb9acfa40d9a4c6e43f - request_cost: 0.3323 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 36d075917dcd481e9daf858a2549f3b1 + cost: 4.6673 '401': description: Unauthorized content: @@ -232,15 +218,15 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /upload: + /async/largerpayload/upload: description: |+ Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - - v1.0.0 + - v0.1.0 requestBody: content: multipart/form-data: @@ -255,13 +241,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed - /async/microservices/voice/whisperasrlp/v1/getstatus: + status_code: 200 + message: Process Started + status: Processing + /async/microservices/voice/whisperasrlp/v0/getstatus: description: |+ Query for processing status. get: tags: - - v1.0.0 + - v0.1.0 parameters: - in: query name: jid @@ -276,11 +264,11 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: 'Dec 20, 2021' + output_url": "https://s3.ap-southeast-1.wasabisys.com/lpuserspaceprod/309/495/lp-asrsch/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-whisper/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.3323 - status: Success + status: "Success" + request_cost: 0.1218 + last_updated: "2023-04-19 14:22:40" '401': description: Unauthorized @@ -343,95 +331,63 @@ components: getsuccess: type: object properties: - last_updated: + output_url: type: string - example: 2021-07-06 12:50:30 - description: Last updated + example: "https://s3.ap-southeast-1.wasabisys.com/lpuserspaceprod/309/495/lp-asr/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" + description: pre-signed url generated for the output file. message: type: string - example: File Processing Successfully Started + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: https://dev-apis.sentient.io/async/largerpayload/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: + token: type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - request_cost: + cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -521,7 +477,7 @@ components: items: oneOf: - type: string - example: Published Date - May 05, 2023 + example: Published Date - May 09, 2023 x-details: Timestamp added description: Latest Version v0.2.0: @@ -543,7 +499,9 @@ components: input: type: object required: + - content_type - file_name + - file_size properties: file_name: x-name: file_name @@ -572,102 +530,38 @@ components: additional_param: x-name: additional_param type: object - properties: - timestamps: - x-name: timestamps - type: string - default: true - example: "true" - description: |+ - Specify the timestamps for set timing variation for each sentence. - timestamp_type: - x-name: timestamp_type + default: true + properties: + language: + x-name: language type: string default: true - example: sentence + example: en description: |+ - Specify the timestamp_type. Pick any one from the given list. - ["sentence", "word"] - Default - sentence - model_type: - x-name: model_type + Specify the language code that needs to be converted. + timestamps: + x-name: timestamps type: string default: true - example: medium + example: True description: |+ - Specify the model_type. Pick any one from the given list. - ["tiny", "base", "small", "medium", "large-v1", "large-v2"] - Default - medium + Specify the timestamps for set timing variation for each sentence. uploadinput: type: object required: - - filePath + - file + - token properties: file: type: string format: binary default: true - example: sample.wav + example: '4 test.wav' description: file - content-type: - type: string - default: false - example: audio/wav - description: Fields - key: - type: string - default: false - example: 309/495/lp-whisper/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-date: + token: type: string - default: false - example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"language\": \"en\",\"timestamps\":True}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 309 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 495 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 + default: true + example: 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 description: Fields securitySchemes: APIAuthorizer: From 3c678185a11a119f7cb56d54fb622d8b794e0cfb Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:11:57 +0530 Subject: [PATCH 5831/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 67e6b42a9..ceb1cbb19 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,12 +25,12 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://dev-apis.sentient.io/async' tags: - name: "v0.2.0" description: "Published Date - May 09, 2023" paths: - /async/microservices/voice/asrsch/v0/getuploadurl: + /microservices/voice/asrsch/v0/getuploadurl: description: |+ Get the token to upload the file. post: @@ -115,7 +115,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /async/largerpayload/upload: + /largerpayload/upload: description: |+ Upload your file to start processing. post: @@ -141,7 +141,7 @@ paths: status_code: 200 message: Process Started status: Processing - /async/microservices/voice/asrsch/v0/getstatus: + /microservices/voice/asrsch/v0/getstatus: description: |+ Query for processing status. get: From 694902cd556a1104dfff7771793c1709e505af2e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:12:51 +0530 Subject: [PATCH 5832/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index ec9b9be0d..25ac467c4 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -128,12 +128,12 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://dev-apis.sentient.io/async' tags: - name: "v0.2.0" description: "Published Date - May 09, 2023" paths: - /async/microservices/voice/whisperasrlp/v0/getuploadurl: + /microservices/voice/whisperasrlp/v0/getuploadurl: description: |+ Get the token to upload the file. post: @@ -218,7 +218,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /async/largerpayload/upload: + /largerpayload/upload: description: |+ Upload your file to start processing. post: @@ -244,7 +244,7 @@ paths: status_code: 200 message: Process Started status: Processing - /async/microservices/voice/whisperasrlp/v0/getstatus: + /microservices/voice/whisperasrlp/v0/getstatus: description: |+ Query for processing status. get: From 3266f93bbae6107bc14f0c7cf65597ffbaf387bd Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 9 May 2023 12:22:10 +0530 Subject: [PATCH 5833/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 25ac467c4..4d77c0520 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -218,7 +218,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /largerpayload/upload: + /upload: description: |+ Upload your file to start processing. post: From 2a9b9a631c38d5d008dbcd3f10dc0bd45f3c3f6b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:27:01 +0530 Subject: [PATCH 5834/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index ceb1cbb19..f8c6f2fdc 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -115,7 +115,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /largerpayload/upload: + /upload: description: |+ Upload your file to start processing. post: From 16a3a5410a825435bad37ae8d6830bd6cfc84bb3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:27:32 +0530 Subject: [PATCH 5835/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 466ac0fef..3b31a3daf 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -120,7 +120,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /async/largerpayload/upload: + /upload: description: |+ Upload your file to start processing. post: From 538f8bf3a9400139d0f24a3382b2e5d316f88aa1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:27:50 +0530 Subject: [PATCH 5836/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index 718aedbc2..feb5f065b 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -112,7 +112,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /async/largerpayload/upload: + /upload: description: |+ Upload your file to start processing. post: From 11273353a27e4fe834493f6b6f567cd0b78a3e0d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:28:17 +0530 Subject: [PATCH 5837/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 8d5da0490..c0b4c63e9 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -114,7 +114,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /async/largerpayload/upload: + /upload: description: |+ Upload your file to start processing. post: From 49a074f8949a8ec29af9574ca9653e3ff8659eca Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:28:39 +0530 Subject: [PATCH 5838/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 1d76a5221..a1fd1a8a9 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -112,7 +112,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /async/largerpayload/upload: + /upload: description: |+ Upload your file to start processing. post: From d9e68bf249065ed30411b862e4b6dbf432ab343b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:29:10 +0530 Subject: [PATCH 5839/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 5be3740f9..4f83a023a 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -113,7 +113,7 @@ paths: schema: $ref: '#/components/schemas/input' required: true - /async/largerpayload/upload: + /upload: description: |+ Upload your file to start processing. post: From d08ab40e67ce08386fd15947986460a3a705e1b4 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:38:53 +0530 Subject: [PATCH 5840/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 206 +++++++++---------------------- 1 file changed, 55 insertions(+), 151 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index f57502026..54f87ac4b 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -168,11 +168,11 @@ servers: - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - Aug 30, 2022" + description: "Published Date - May 09, 2023" paths: /async/microservices/voice/googleasr/v1/getuploadurl: description: |+ - Get the pre-signed url to upload the file. + Get the token to upload the file. post: tags: - v1.0.0 @@ -184,29 +184,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: content-type: audio/wav - key: >- - 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav - policy: >- - eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhdWRpby93YXYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDQ3NTIyNjRdLHsiY29udGVudC10eXBlIjoiYXVkaW8vd2F2In0seyJ4LWdvb2ctbWV0YS1hZGRpdGlvbmFsX3BhcmFtIjoiTm9uZSJ9LHsieC1nb29nLW1ldGEtb2lkIjoiMzA5In0seyJ4LWdvb2ctbWV0YS11aWQiOiI0OTUifSx7IngtZ29vZy1tZXRhLXVwbG9hZGVyIjoiNGI4MjE1MWQzMWUwNDI5YmEyOGYzYWQxNTI1YzNhYTYifSx7IngtZ29vZy1tZXRhLXV1aWQiOiJlNGZmMzY3YzkzNjY0ZmI5YWNmYTQwZDlhNGM2ZTQzZiJ9LHsiYnVja2V0IjoidXNlcl9zcGFjZV9kZXYifSx7ImtleSI6IjMwOS80OTUvbHAtZ29vZ2xlYXNyL2lucHV0LzR0ZXN0X2U0ZmYzNjdjOTM2NjRmYjlhY2ZhNDBkOWE0YzZlNDNmLndhdiJ9LHsieC1nb29nLWRhdGUiOiIyMDIxMTIyMFQwNDQxMzVaIn0seyJ4LWdvb2ctY3JlZGVudGlhbCI6InNlbnRpZW50LWRldi1iaWdxdWVyeUBzZW50aWVudC0yMDczMTAuaWFtLmdzZXJ2aWNlYWNjb3VudC5jb20vMjAyMTEyMjAvYXV0by9zdG9yYWdlL2dvb2c0X3JlcXVlc3QifSx7IngtZ29vZy1hbGdvcml0aG0iOiJHT09HNC1SU0EtU0hBMjU2In1dLCJleHBpcmF0aW9uIjoiMjAyMS0xMi0yMFQwNTo0MTozNS4xNDMxOTJaIn0= - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request - x-goog-date: 20211220T044135Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 - x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f - x-goog-signature: >- - 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 - jid: e4ff367c93664fb9acfa40d9a4c6e43f - request_cost: 0.3323 - url: 'https://storage.googleapis.com/lp_user_space_prod/' - status: Success + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 36d075917dcd481e9daf858a2549f3b1 + cost: 4.6673 '401': description: Unauthorized content: @@ -274,7 +260,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v1.0.0 @@ -292,7 +278,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + status_code: 200 + message: Process Started + status: Processing /async/microservices/voice/googleasr/v1/getstatus: description: |+ Query for processing status. @@ -313,11 +301,11 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: 'Dec 20, 2021' + output_url": "https://s3.ap-southeast-1.wasabisys.com/lpuserspaceprod/309/495/lp-asrsch/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.3323 - status: Success + status: "Success" + request_cost: 0.1218 + last_updated: "2023-04-19 14:22:40" '401': description: Unauthorized @@ -380,95 +368,63 @@ components: getsuccess: type: object properties: - last_updated: + output_url: type: string - example: 2021-07-06 12:50:30 - description: Last updated + example: "https://s3.ap-southeast-1.wasabisys.com/largerpayloaddev/309/495/lp-asr/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" + description: pre-signed url generated for the output file. message: type: string - example: File Processing Successfully Started + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: https://dev-apis.sentient.io/async/largerpayload/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: + token: type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - request_cost: + cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/lp_user_space_prod/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -558,7 +514,7 @@ components: items: oneOf: - type: string - example: Published Date - Aug 30, 2022 + example: Published Date - May 09, 2023 x-details: sample rate added as input parameter description: Latest Version v1.0.0: @@ -581,6 +537,8 @@ components: type: object required: - file_name + - file_size + - content_type properties: file_name: x-name: file_name @@ -615,7 +573,7 @@ components: x-name: sampling_rate type: string default: true - example: default + example: "16000" description: |+ Specify required sampling rate. "default" - Microservice will process the input file in its native sampling rate. @@ -673,74 +631,20 @@ components: uploadinput: type: object required: - - filePath + - file + - token properties: file: type: string format: binary default: true - example: sample.wav + example: '4 test.wav' description: file - content-type: - type: string - default: false - example: audio/wav - description: Fields - key: + token: type: string - default: false - example: 309/495/lp-vadasr/input/4test_c1d5428e080540d69a56e4dda2f7a9e8.wav - description: Fields - policy: - type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-date: - type: string - default: false - example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"model\": \"prepared_speech\", \"threshold\": 0.4}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 309 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 495 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 - description: Fields + default: true + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhcHBsaWNhdGlvbi9wZGYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDE0MDczMjYxXSx7ImNvbnRlbnQtdHlwZSI6ImFwcGxpY2F0aW9uL3BkZiJ9LHsieC1nb29nLW1ldGEtYWRkaXRpb25hbF9wYXJhbSI6IntcInBhc3N3b3JkXCI6IFwiZmZmZmZcIn0ifSx7IngtZ29vZy1tZXRhLW9pZCI6IjEifSx7IngtZ29vZy1tZXRhLXVpZCI6IjIifSx7IngtZ29vZy1tZXRhLXV1aWQiOiJjZjNkMzI5YmQ5ZGY0Y2VmOTE5NjZjMzM2Mzg2ZWVhMyJ9LHsiYnVja2V0IjoidXNlcl9zcGFjZV9kZXYifSx7ImtleSI6IjEvMi9scC10ZXh0c3VtbWFyaXNhdGlvbi9pbnB1dC9QZGZfNm1iX2NmM2QzMjliZDlkZjRjZWY5MTk2NmMzMzYzODZlZWEzLnBkZiJ9LHsieC1nb29nLWRhdGUiOiIyMDIxMTIwOVQwOTU1MDdaIn0seyJ4LWdvb2ctY3JlZGVudGlhbCI6InNlbnRpZW50LWRldi1iaWdxdWVyeUBzZW50aWVudC0yMDczMTAuaWFtLmdzZXJ2aWNlYWNjb3VudC5jb20vMjAyMTEyMDk + description: Fields securitySchemes: APIAuthorizer: type: apiKey From 74cc6e9e325484395244aeb9a79f273e16f80fab Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:44:09 +0530 Subject: [PATCH 5841/5916] Update google_mt_largefile.yaml --- voice/google_mt_largefile.yaml | 212 +++++++++------------------------ 1 file changed, 58 insertions(+), 154 deletions(-) diff --git a/voice/google_mt_largefile.yaml b/voice/google_mt_largefile.yaml index 8266b8d94..6ee5f9ebb 100644 --- a/voice/google_mt_largefile.yaml +++ b/voice/google_mt_largefile.yaml @@ -27,11 +27,11 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - Mar 04, 2022" + description: "Published Date - May 09, 2023" paths: /async/microservices/nlp/googletranslate/v0/getuploadurl: description: |+ - Get the pre-signed url to upload the file. + Get the token to upload the file. post: tags: - v0.1.0 @@ -43,29 +43,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: content-type: audio/wav - key: >- - 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav - policy: >- - 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: >- - sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request - x-goog-date: 20211220T044135Z - x-goog-meta-additional_param: None - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 - x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f - x-goog-signature: >- - 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 - jid: e4ff367c93664fb9acfa40d9a4c6e43f - request_cost: 0.3323 - url: 'https://storage.googleapis.com/user_space_dev/' - status: Success + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 36d075917dcd481e9daf858a2549f3b1 + cost: 4.6673 '401': description: Unauthorized content: @@ -133,7 +119,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/user_space_dev/' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -151,7 +137,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + status_code: 200 + message: Process Started + status: Processing /async/microservices/nlp/googletranslate/v0/getstatus: description: |+ Query for processing status. @@ -172,11 +160,11 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: 'Dec 20, 2021' + output_url": "https://s3.ap-southeast-1.wasabisys.com/lpuserspaceprod/309/495/lp-asrsch/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.3323 - status: Success + status: "Success" + request_cost: 0.1218 + last_updated: "2023-04-19 14:22:40" '401': description: Unauthorized @@ -239,95 +227,63 @@ components: getsuccess: type: object properties: - last_updated: + output_url: type: string - example: 2021-07-06 12:50:30 - description: Last updated + example: "https://s3.ap-southeast-1.wasabisys.com/largerpayloaddev/309/495/lp-asr/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" + description: pre-signed url generated for the output file. message: type: string - example: File Processing Successfully Started + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: https://dev-apis.sentient.io/async/largerpayload/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: + token: type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - request_cost: + cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -417,13 +373,15 @@ components: items: oneOf: - type: string - example: Published Date - Mar 04, 2022 + example: Published Date - May 09, 2023 x-details: Initial version release description: Latest Version input: type: object required: - file_name + - file_size + - content_type properties: file_name: x-name: file_name @@ -451,74 +409,20 @@ components: uploadinput: type: object required: - - filePath + - file + - token properties: - fields: - type: object - example: - - description: Json Object of returned results - properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb25... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211220T044135Z - description: Google algorithm - x-goog-meta-additional_param: - type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 309 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 495 - description: Google algorithm - x-goog-meta-uploader: - type: string - example: 4b82151d31e0429ba28f3ad1525c3aa6 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: e4ff367c93664fb9acfa40d9a4c6e43f - description: Google algorithm - x-goog-signature: - type: string - example: 53976156d99fe7521e373c45d9e5056a420d25... - description: Google algorithm - jid: - type: string - example: e4ff367c93664fb9acfa40d9a4c6e43f - description: Google algorithm - request_cost: + file: type: string - example: 0.3323 - description: Google algorithm - url: + format: binary + default: true + example: '4 test.wav' + description: file + token: type: string - example: 'https://storage.googleapis.com/user_space_dev/' - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + default: true + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJhcHBsaWNhdGlvbi9wZGYiXSxbImNvbnRlbnQtbGVuZ3RoLXJhbmdlIiwwLDE0MDczMjYxXSx7ImNvbnRlbnQtdHlwZSI6ImFwcGxpY2F0aW9uL3BkZiJ9LHsieC1nb29nLW1ldGEtYWRkaXRpb25hbF9wYXJhbSI6IntcInBhc3N3b3JkXCI6IFwiZmZmZmZcIn0ifSx7IngtZ29vZy1tZXRhLW9pZCI6IjEifSx7IngtZ29vZy1tZXRhLXVpZCI6IjIifSx7IngtZ29vZy1tZXRhLXV1aWQiOiJjZjNkMzI5YmQ5ZGY0Y2VmOTE5NjZjMzM2Mzg2ZWVhMyJ9LHsiYnVja2V0IjoidXNlcl9zcGFjZV9kZXYifSx7ImtleSI6IjEvMi9scC10ZXh0c3VtbWFyaXNhdGlvbi9pbnB1dC9QZGZfNm1iX2NmM2QzMjliZDlkZjRjZWY5MTk2NmMzMzYzODZlZWEzLnBkZiJ9LHsieC1nb29nLWRhdGUiOiIyMDIxMTIwOVQwOTU1MDdaIn0seyJ4LWdvb2ctY3JlZGVudGlhbCI6InNlbnRpZW50LWRldi1iaWdxdWVyeUBzZW50aWVudC0yMDczMTAuaWFtLmdzZXJ2aWNlYWNjb3VudC5jb20vMjAyMTEyMDk + description: Fields securitySchemes: APIAuthorizer: type: apiKey From 09faaa71982130584aceef4638c7636d2e29c2de Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:44:53 +0530 Subject: [PATCH 5842/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 54f87ac4b..dce7e09fa 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - May 09, 2023" From 6d78f1b27a1c219c38ced3ce0dabf4e4cb3dfaf1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:50:46 +0530 Subject: [PATCH 5843/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index dce7e09fa..cf25e254d 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -168,7 +168,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" - description: "Published Date - May 09, 2023" + description: "Published Date - Aug 30, 2022" paths: /async/microservices/voice/googleasr/v1/getuploadurl: description: |+ @@ -514,7 +514,7 @@ components: items: oneOf: - type: string - example: Published Date - May 09, 2023 + example: Published Date - Aug 30, 2022 x-details: sample rate added as input parameter description: Latest Version v1.0.0: From 77b651d7a17b0396ab9494d238f3f1e3b743bd52 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:51:36 +0530 Subject: [PATCH 5844/5916] Update google_mt_largefile.yaml --- voice/google_mt_largefile.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_mt_largefile.yaml b/voice/google_mt_largefile.yaml index 6ee5f9ebb..6fc5ab837 100644 --- a/voice/google_mt_largefile.yaml +++ b/voice/google_mt_largefile.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 09, 2023" + description: "Published Date - Mar 04, 2022" paths: /async/microservices/nlp/googletranslate/v0/getuploadurl: description: |+ @@ -373,7 +373,7 @@ components: items: oneOf: - type: string - example: Published Date - May 09, 2023 + example: Published Date - Mar 04, 2022 x-details: Initial version release description: Latest Version input: From 8cf48b5161008d14d0b13c2a336f807fa15386e7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:52:42 +0530 Subject: [PATCH 5845/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 3b31a3daf..2aecd5065 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -33,7 +33,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 09, 2023" + description: "Published Date - Mar 01, 2022" paths: /async/microservices/voice/asr/v0/getuploadurl: description: |+ @@ -379,7 +379,7 @@ components: items: oneOf: - type: string - example: Published Date - May 09, 2023 + example: Published Date - Mar 01, 2022 x-details: Initial version release description: Latest Version input: From 6a0048e67eaab6aabb050c93c9a13d034c8f7e4c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:53:34 +0530 Subject: [PATCH 5846/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index f8c6f2fdc..6cf220f54 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -28,7 +28,7 @@ servers: - url: 'https://dev-apis.sentient.io/async' tags: - name: "v0.2.0" - description: "Published Date - May 09, 2023" + description: "Published Date - Oct 13, 2022" paths: /microservices/voice/asrsch/v0/getuploadurl: description: |+ @@ -369,7 +369,7 @@ components: items: oneOf: - type: string - example: Published Date - May 09, 2023 + example: Published Date - Oct 13, 2022 x-details: Output Parameters Aligned description: Latest Version v0.1.2: From 5f494319701e8a8b46c33893e99368357b37b2f1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:54:18 +0530 Subject: [PATCH 5847/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index feb5f065b..a63214ca3 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 09, 2023" + description: "Published Date - Jul 08, 2022" paths: /async/microservices/voice/nsd/v0/getuploadurl: description: |+ @@ -366,7 +366,7 @@ components: items: oneOf: - type: string - example: Published Date - May 09, 2023 + example: Published Date - Jul 08, 2022 x-details: Initial version release description: Latest Version input: From d4cde49551c232edf734ca98900196923b28bcc8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:55:19 +0530 Subject: [PATCH 5848/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 4f83a023a..79188753a 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -26,7 +26,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 09, 2023" + description: "Published Date - Dec 30, 2021" paths: /async/microservices/nlp/textsummarisation/v0/getuploadurl: description: |+ @@ -367,7 +367,7 @@ components: items: oneOf: - type: string - example: Published Date - May 09, 2023 + example: Published Date - Dec 30, 2021 x-details: Initial version release description: Latest Version input: From 228e6d702a98ca9d77fe86c034b69a3e1d362a8f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:56:02 +0530 Subject: [PATCH 5849/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index a1fd1a8a9..722b7c9ea 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -25,7 +25,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 09, 2023" + description: "Published Date - Jul 13, 2022" paths: /async/microservices/cv/thumbnailgeneration/v0/getuploadurl: description: |+ @@ -366,7 +366,7 @@ components: items: oneOf: - type: string - example: Published Date - May 09, 2023 + example: Published Date - Jul 13, 2022 x-details: Initial version release description: Latest Version input: From eeae625df399c6fe55b91a7dd3b44f3c9780a8c3 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 12:56:41 +0530 Subject: [PATCH 5850/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index c0b4c63e9..6a25ba6f9 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -27,7 +27,7 @@ servers: - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" - description: "Published Date - May 09, 2023" + description: "Published Date - Dec 30, 2021" paths: /async/microservices/cv/peoplecounting/v0/getuploadurl: description: |+ From d68c31a28fb8d9e0243b30c3b054c2dfd74b6657 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 14:37:12 +0530 Subject: [PATCH 5851/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index cf25e254d..101a6b0f3 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -192,7 +192,7 @@ paths: message: Successfully token generated status: Success jid: 36d075917dcd481e9daf858a2549f3b1 - cost: 4.6673 + request_cost: 4.6673 '401': description: Unauthorized content: @@ -413,7 +413,7 @@ components: type: string example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - cost: + request_cost: type: string example: 0 description: Google algorithm From 73ed0c8cd67effa7a1b95dab80234bfc83b9be59 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 14:44:03 +0530 Subject: [PATCH 5852/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 6a25ba6f9..123949d7f 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -51,7 +51,7 @@ paths: message: Successfully token generated status: Success jid: 36d075917dcd481e9daf858a2549f3b1 - cost: 4.6373 + request_cost: 4.6373 '401': description: Unauthorized content: @@ -267,7 +267,7 @@ components: type: string example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - cost: + request_cost: type: string example: 0 description: Google algorithm From 881591ff78aed91239dfe2648e609fd7820186f8 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 14:44:40 +0530 Subject: [PATCH 5853/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 79188753a..a71ccb9ab 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -50,7 +50,7 @@ paths: message: Successfully token generated status: Success jid: 36d075917dcd481e9daf858a2549f3b1 - cost: 4.6736 + request_cost: 4.6736 '401': description: Unauthorized content: @@ -266,7 +266,7 @@ components: type: string example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - cost: + request_cost: type: string example: 0 description: Google algorithm From 900b275bf22fd669e67cee3e732a8c801a2e97ae Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 14:47:34 +0530 Subject: [PATCH 5854/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 722b7c9ea..ae52eb883 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -49,7 +49,7 @@ paths: message: Successfully token generated status: Success jid: 36d075917dcd481e9daf858a2549f3b1 - cost: 4.6736 + request_cost: 4.6736 '401': description: Unauthorized content: @@ -265,7 +265,7 @@ components: type: string example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - cost: + request_cost: type: string example: 0 description: Google algorithm From f7d3b74d94d45ebd56b5b0232cd0d8c5261b916a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 14:48:16 +0530 Subject: [PATCH 5855/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index a63214ca3..f3c121240 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -49,7 +49,7 @@ paths: message: Successfully token generated status: Success jid: 8f1e8179e6934e3aad9563bc3707ff88 - cost: 4.6673 + request_cost: 4.6673 '401': description: Unauthorized content: @@ -265,7 +265,7 @@ components: type: string example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - cost: + request_cost: type: string example: 0 description: Google algorithm From 5feaf5a3e04d85e4240dac65179d08579319e03a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 14:48:58 +0530 Subject: [PATCH 5856/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 4d77c0520..3b8026a45 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -155,7 +155,7 @@ paths: message: Successfully token generated status: Success jid: 36d075917dcd481e9daf858a2549f3b1 - cost: 4.6673 + request_cost: 4.6673 '401': description: Unauthorized content: @@ -376,7 +376,7 @@ components: type: string example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - cost: + request_cost: type: string example: 0 description: Google algorithm From 66a31dd267a7d54fe9c8438b455046c71a99e908 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 14:50:12 +0530 Subject: [PATCH 5857/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 6cf220f54..6b69c0e6b 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -52,7 +52,7 @@ paths: message: Successfully token generated status: Success jid: 36d075917dcd481e9daf858a2549f3b1 - cost: 4.6736 + request_cost: 4.6736 '401': description: Unauthorized content: @@ -268,7 +268,7 @@ components: type: string example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - cost: + request_cost: type: string example: 0 description: Google algorithm From 9dd7d529c328058d95dc09bd785918fe1be3a94e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 14:50:44 +0530 Subject: [PATCH 5858/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 2aecd5065..c006da855 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -57,7 +57,7 @@ paths: message: Successfully token generated status: Success jid: 36d075917dcd481e9daf858a2549f3b1 - cost: 4.6373 + request_cost: 4.6373 '401': description: Unauthorized content: @@ -278,7 +278,7 @@ components: type: string example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - cost: + request_cost: type: string example: 0 description: Google algorithm From 015c87fb3530cde56dcbf8d31e3caa0784491943 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 14:51:23 +0530 Subject: [PATCH 5859/5916] Update google_mt_largefile.yaml --- voice/google_mt_largefile.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_mt_largefile.yaml b/voice/google_mt_largefile.yaml index 6fc5ab837..4cf89c341 100644 --- a/voice/google_mt_largefile.yaml +++ b/voice/google_mt_largefile.yaml @@ -51,7 +51,7 @@ paths: message: Successfully token generated status: Success jid: 36d075917dcd481e9daf858a2549f3b1 - cost: 4.6673 + request_cost: 4.6673 '401': description: Unauthorized content: @@ -272,7 +272,7 @@ components: type: string example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm - cost: + request_cost: type: string example: 0 description: Google algorithm From a48e6d0fbab15fbfb8bb944142569c7bbfbc836c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 15:00:23 +0530 Subject: [PATCH 5860/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 196 +++++++-------------------- 1 file changed, 52 insertions(+), 144 deletions(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index cc1fcba90..8d77b7258 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -134,14 +134,14 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 08, 2022" paths: /async/microservices/nlp/googletranslate/v0/getuploadurl: description: |+ - Get the pre-signed url to upload the file. + Get the token to upload the file. post: tags: - v0.1.0 @@ -153,25 +153,15 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed results: + url: https://dev-apis.sentient.io/async/largerpayload/upload fields: - content-type: application/vnd.openxmlformats-officedocument.wordprocessingml.document - key: 309/495/lp-googletranslate/input/textsum_4f2bac8ccf854358aab6b7045f59efac.docx - policy: 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 - x-goog-algorithm: GOOG4-RSA-SHA256 - x-goog-credential: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20220308/auto/storage/goog4_request - x-goog-date: 20220308T050232Z - x-goog-meta-additional_param: '{"input_language": "en", "target_language": "fr"}' - x-goog-meta-oid: '309' - x-goog-meta-uid: '495' - x-goog-meta-uploader: 614e38ba9bc3448b9bb5c84159b0fb63 - x-goog-meta-uuid: 4f2bac8ccf854358aab6b7045f59efac - x-goog-signature: 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 - jid: 4f2bac8ccf854358aab6b7045f59efac - request_cost: 0.0842 - url: https://storage.googleapis.com/lp_user_space_prod/ - status: Success + content-type: audio/wav + token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc + message: Successfully token generated + status: Success + jid: 36d075917dcd481e9daf858a2549f3b1 + request_cost: 4.6673 '401': description: Unauthorized content: @@ -239,7 +229,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -257,7 +247,9 @@ paths: schema: $ref: '#/components/schemas/success' example: - message: Successfully Processed + status_code: 200 + message: Process Started + status: Processing /async/microservices/nlp/googletranslate/v0/getstatus: description: |+ Query for processing status. @@ -278,11 +270,11 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - last_updated: 'Mar 08, 2022' + output_url": "https://s3.ap-southeast-1.wasabisys.com/lpuserspaceprod/309/495/lp-asrsch/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" message: Successfully Processed - output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googletranslate/output/textsum_4f2bac8ccf854358aab6b7045f59efac_4f2bac8ccf854358aab6b7045f59efac.docx?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20220308%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20220308T051150Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 - request_cost: 0.3323 - status: Success + status: "Success" + request_cost: 0.1218 + last_updated: "2023-04-19 14:22:40" '401': description: Unauthorized @@ -345,95 +337,63 @@ components: getsuccess: type: object properties: - last_updated: + output_url: type: string - example: 2021-07-06 12:50:30 - description: Last updated + example: "https://s3.ap-southeast-1.wasabisys.com/largerpayloaddev/309/495/lp-asr/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" + description: pre-signed url generated for the output file. message: type: string - example: File Processing Successfully Started + example: Successfully Processed + description: Detail description on the API status + status: + type: string + example: Success description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - status: + last_updated: type: string - example: Processing - description: Detail description on the API status + example: 2023-04-19 14:22:40 + description: Last updated success: type: object properties: - message: - type: string - example: Successfully Processed - description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: + properties: + url: + type: string + example: https://dev-apis.sentient.io/async/largerpayload/upload + description: Url to upload file fields: type: object example: { "" } description: Json Object of returned results properties: - content-type: - type: string - example: text/plain - description: Content type of the document - policy: - type: string - example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... - description: Content type of the document - x-goog-algorithm: - type: string - example: GOOG4-RSA-SHA256 - description: Google algorithm - x-goog-credential: - type: string - example: sentient-dev-bigqu... - description: Google algorithm - x-goog-date: - type: string - example: 20211123T105846Z - description: Google algorithm - x-goog-meta-additional_param: + token: type: string - example: None - description: Google algorithm - x-goog-meta-oid: - type: string - example: 1 - description: Google algorithm - x-goog-meta-uid: - type: string - example: 2 - description: Google algorithm - x-goog-meta-uuid: - type: string - example: 1991d4936ddb4728afaa06cb260b0253 - description: Google algorithm - x-goog-signature: - type: string - example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... - description: Google algorithm + example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... + description: Token generated for the details given by the user. jid: type: string - example: 1991d4936ddb4728afaa06cb260b0253... + example: 8f1e8179e6934e3aad9563bc3707ff88 description: Google algorithm request_cost: type: string example: 0 description: Google algorithm - url: + message: type: string - example: https://storage.googleapis.com/user_space_dev/ - description: Google algorithm - status: - type: string - example: Success - description: The status of the API call success/failure + example: Successfully Processed + description: The message of the API call success/failure + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -531,6 +491,8 @@ components: required: - file_name - additional_param + - file_size + - content_type properties: file_name: x-name: file_name @@ -576,73 +538,19 @@ components: uploadinput: type: object required: - - file + - file + - token properties: file: type: string format: binary default: true - example: textsum.docx + example: '4 test.wav' description: file - content-type: - type: string - default: false - example: application/vnd.openxmlformats-officedocument.wordprocessingml.document - description: Fields - key: - type: string - default: false - example: 309/495/lp-googletranslate/input/textsum_4f2bac8ccf854358aab6b7045f59efac.docx - description: Fields - policy: + token: type: string - default: false - example: 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 - description: Fields - x-goog-algorithm: - type: string - default: false - example: GOOG4-RSA-SHA256 - description: Fields - x-goog-credential: - type: string - default: false - example: sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211209/auto/storage/goog4_request - description: Fields - x-goog-date: - type: string - default: false - example: 20220224T045625Z - description: Fields - x-goog-meta-additional_param: - type: string - default: false - example: "{\"input_language\": \"en\", \"target_language\": \"fr\"}" - description: Fields - x-goog-meta-oid: - type: string - default: false - example: 309 - description: Fields - x-goog-meta-uid: - type: string - default: false - example: 495 - description: Fields - x-goog-meta-uploader: - type: string - default: false - example: 01832842d1774e4fb711d31b30fa9431 - description: Fields - x-goog-meta-uuid: - type: string - default: false - example: cf3d329bd9df4cef91966c336386eea3 - description: Fields - x-goog-signature: - type: string - default: false - example: 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 + default: true + example: 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 description: Fields securitySchemes: APIAuthorizer: From 6e9f3ccc6dab39f7be492284c4312ecc6dc935d7 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Tue, 9 May 2023 15:00:59 +0530 Subject: [PATCH 5861/5916] Update google_mt_largefile.yaml --- voice/google_mt_largefile.yaml | 206 ++++++++++++++++++++++++--------- 1 file changed, 151 insertions(+), 55 deletions(-) diff --git a/voice/google_mt_largefile.yaml b/voice/google_mt_largefile.yaml index 4cf89c341..8266b8d94 100644 --- a/voice/google_mt_largefile.yaml +++ b/voice/google_mt_largefile.yaml @@ -31,7 +31,7 @@ tags: paths: /async/microservices/nlp/googletranslate/v0/getuploadurl: description: |+ - Get the token to upload the file. + Get the pre-signed url to upload the file. post: tags: - v0.1.0 @@ -43,15 +43,29 @@ paths: schema: $ref: '#/components/schemas/success' example: + message: Successfully Processed results: - url: https://dev-apis.sentient.io/async/largerpayload/upload fields: content-type: audio/wav - token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250ZW50X3R5cGUiOiJhdWRpby93YXYiLCJhZGRpdGlvbmFsX3BhcmFtIjp7ImV4YWN0X3NwZWFrZXJfY291bnQiOjIsIm1heF9zcGVha2VyX2NvdW50IjoyfSwiamlkIjoiOGYxZTgxNzllNjkzNGUzYWFkOTU2M2JjMzcwN2ZmODgiLCJmaWxlX3NpemUiOjIxNzUxMzM4MiwiZmlsZV9uYW1lIjoiY29uZmVyZW5jZS53YXYiLCJrZXkiOiIzMDkvNDk1L2xwLW5zZC9pbnB1dC9jb25mZXJlbmNlXzhmMWU4MTc5ZTY5MzRlM2FhZDk1NjNiYzM3MDdmZjg4LndhdiIsImNvc3QiOjQuNjY3MywiYXBpX2NvZGUiOiJuc2QiLCJleHAiOjE2ODE5MDE0MzN9.Qx_XqBVK8-pZQ9LE0OlwB0pIZdFllzcX2LBRSJV7Yyc - message: Successfully token generated - status: Success - jid: 36d075917dcd481e9daf858a2549f3b1 - request_cost: 4.6673 + key: >- + 309/495/lp-googleasr/input/4test_e4ff367c93664fb9acfa40d9a4c6e43f.wav + policy: >- + 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 + x-goog-algorithm: GOOG4-RSA-SHA256 + x-goog-credential: >- + sentient-dev-bigquery@sentient-207310.iam.gserviceaccount.com/20211220/auto/storage/goog4_request + x-goog-date: 20211220T044135Z + x-goog-meta-additional_param: None + x-goog-meta-oid: '309' + x-goog-meta-uid: '495' + x-goog-meta-uploader: 4b82151d31e0429ba28f3ad1525c3aa6 + x-goog-meta-uuid: e4ff367c93664fb9acfa40d9a4c6e43f + x-goog-signature: >- + 53976156d99fe7521e373c45d9e5056a420d257c78f32b5fdbeac77954bf435da9e8bb8fc3c3848818a2f5c4d30f474cf5bd05de87c45422ad620384cc3ee3e708919328f61285d90f7423635f3cc393eba66092ca15e0db1faed29839dc3246e04d0a983ede3da2ae7adca0c97d745e28780b2fe6270cbd6e52ca21ed2995e1037210a42e92207244929748443d233e7088438f7bb9c03678f8e1512e17feecb7dd15342c0d6fb0fab1d9754c037b8de6071b87bef86b20721cd7678ef6aa07a98f01eb7e9661aeba1d7ead8003f501224e515bc88f3287a9ec047ec27a22f909907eeb60288ab805fcf8850cb29a2412c138dfd68082f47d942a6725e701d3 + jid: e4ff367c93664fb9acfa40d9a4c6e43f + request_cost: 0.3323 + url: 'https://storage.googleapis.com/user_space_dev/' + status: Success '401': description: Unauthorized content: @@ -119,7 +133,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://storage.googleapis.com/user_space_dev/' description: Override base path for the GET /ping operation tags: - v0.1.0 @@ -137,9 +151,7 @@ paths: schema: $ref: '#/components/schemas/success' example: - status_code: 200 - message: Process Started - status: Processing + message: Successfully Processed /async/microservices/nlp/googletranslate/v0/getstatus: description: |+ Query for processing status. @@ -160,11 +172,11 @@ paths: schema: $ref: '#/components/schemas/getsuccess' example: - output_url": "https://s3.ap-southeast-1.wasabisys.com/lpuserspaceprod/309/495/lp-asrsch/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" + last_updated: 'Dec 20, 2021' message: Successfully Processed - status: "Success" - request_cost: 0.1218 - last_updated: "2023-04-19 14:22:40" + output_url: https://storage.googleapis.com/user_space_dev/309/495/lp-googleasr/output/4test_e4ff367c93664fb9acfa40d9a4c6e43f.json?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=sentient-dev-bigquery%40sentient-207310.iam.gserviceaccount.com%2F20211220%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211220T044341Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 + request_cost: 0.3323 + status: Success '401': description: Unauthorized @@ -227,63 +239,95 @@ components: getsuccess: type: object properties: - output_url: + last_updated: type: string - example: "https://s3.ap-southeast-1.wasabisys.com/largerpayloaddev/309/495/lp-asr/output/f72a1b0c7c424e7cb136852163014d6b.json?AWSAccessKeyId=6PFW0U2Q2B2IOZ0XMKQM&Signature=hw2PeWM3%2FHlVToumvCB03RkNguc%3D&Expires=1682052404" - description: pre-signed url generated for the output file. + example: 2021-07-06 12:50:30 + description: Last updated message: type: string - example: Successfully Processed - description: Detail description on the API status - status: - type: string - example: Success + example: File Processing Successfully Started description: Detail description on the API status request_cost: type: string example: 0.086 description: Detail description on the API status - last_updated: + status: type: string - example: 2023-04-19 14:22:40 - description: Last updated + example: Processing + description: Detail description on the API status success: type: object properties: + message: + type: string + example: Successfully Processed + description: Detail description on the API status results: type: object example: { "" } description: Json Object of returned results - properties: - url: - type: string - example: https://dev-apis.sentient.io/async/largerpayload/upload - description: Url to upload file + properties: fields: type: object example: { "" } description: Json Object of returned results properties: - token: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb250ZW50LVR5cGUiLCJ... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211123T105846Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 1 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 2 + description: Google algorithm + x-goog-meta-uuid: type: string - example: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJjb250Z..... - description: Token generated for the details given by the user. + example: 1991d4936ddb4728afaa06cb260b0253 + description: Google algorithm + x-goog-signature: + type: string + example: 3d882f0762743e39146aae926435bf0b15e844836dbcf... + description: Google algorithm jid: type: string - example: 8f1e8179e6934e3aad9563bc3707ff88 + example: 1991d4936ddb4728afaa06cb260b0253... description: Google algorithm request_cost: type: string example: 0 description: Google algorithm - message: - type: string - example: Successfully Processed - description: The message of the API call success/failure - status: + url: type: string - example: Success - description: The status of the API call success/failure + example: https://storage.googleapis.com/user_space_dev/ + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure unauthorized: type: object properties: @@ -380,8 +424,6 @@ components: type: object required: - file_name - - file_size - - content_type properties: file_name: x-name: file_name @@ -409,20 +451,74 @@ components: uploadinput: type: object required: - - file - - token + - filePath properties: - file: + fields: + type: object + example: + + description: Json Object of returned results + properties: + content-type: + type: string + example: text/plain + description: Content type of the document + policy: + type: string + example: eyJjb25kaXRpb25zIjpbWyJlcSIsIiRDb25... + description: Content type of the document + x-goog-algorithm: + type: string + example: GOOG4-RSA-SHA256 + description: Google algorithm + x-goog-credential: + type: string + example: sentient-dev-bigqu... + description: Google algorithm + x-goog-date: + type: string + example: 20211220T044135Z + description: Google algorithm + x-goog-meta-additional_param: + type: string + example: None + description: Google algorithm + x-goog-meta-oid: + type: string + example: 309 + description: Google algorithm + x-goog-meta-uid: + type: string + example: 495 + description: Google algorithm + x-goog-meta-uploader: + type: string + example: 4b82151d31e0429ba28f3ad1525c3aa6 + description: Google algorithm + x-goog-meta-uuid: + type: string + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + x-goog-signature: + type: string + example: 53976156d99fe7521e373c45d9e5056a420d25... + description: Google algorithm + jid: type: string - format: binary - default: true - example: '4 test.wav' - description: file - token: + example: e4ff367c93664fb9acfa40d9a4c6e43f + description: Google algorithm + request_cost: type: string - default: true - example: 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 - description: Fields + example: 0.3323 + description: Google algorithm + url: + type: string + example: 'https://storage.googleapis.com/user_space_dev/' + description: Google algorithm + status: + type: string + example: Success + description: The status of the API call success/failure securitySchemes: APIAuthorizer: type: apiKey From 17ffcbfaf5dbc690956d27b4173a69207b0f44d9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 9 May 2023 16:27:05 +0530 Subject: [PATCH 5862/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 26 +++++++++++++++++++------- 1 file changed, 19 insertions(+), 7 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 3b8026a45..47b9d0759 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -532,20 +532,32 @@ components: type: object default: true properties: - language: - x-name: language + timestamps: + x-name: timestamps type: string default: true example: en description: |+ - Specify the language code that needs to be converted. - timestamps: - x-name: timestamps + Whether you want to get output in timestamps or not. If you don't want timestamp don't pass the attribute timestamps + timestamp_type: + x-name: timestamp_type + type: string + default: true + example: sentence + description: |+ + To support what type of timestamp you want. Enter the type of timestamps you want as input. The default value is sentence. For word level timestamps input as word + model_type: + x-name: model_type type: string default: true - example: True + example: tiny description: |+ - Specify the timestamps for set timing variation for each sentence. + Enter the version of whisper you want to use. The default value is medium. + - tiny + - base + - small + - medium + - large uploadinput: type: object required: From 5fdd8e3263bd4cb64fca7f9a98747306e1834cb5 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 9 May 2023 16:30:49 +0530 Subject: [PATCH 5863/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 210 +++++++++++++++--------------- 1 file changed, 105 insertions(+), 105 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 47b9d0759..2026c55f9 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -7,111 +7,111 @@ info: This microservice can be effective for audio files with various mixed accents, as well as audio files that are noisy. Do ensure that your audio file length is less than 1GB. - x-additionalinfo: |+ - Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

- * **Supported Languages:** + # x-additionalinfo: |+ + # Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing.

+# * **Supported Languages:** - | **Code** | **Name** | - |:-------------------------------------------:|:--------------------:| - | en | english | - | zh | chinese | - | de | german | - | es | spanish | - | ru | russian | - | ko | korean | - | fr | french | - | ja | japanese | - | pt | portuguese | - | tr | turkish | - | pl | polish | - | ca | catalan | - | nl | dutch | - | ar | arabic | - | sv | swedish | - | it | italian | - | id | indonesian | - | hi | hindi | - | fi | finnish | - | vi | vietnamese | - | iw | hebrew | - | uk | ukrainian | - | el | greek | - | ms | malay | - | cs | czech | - | ro | romanian | - | da | danish | - | hu | hungarian | - | ta | tamil | - | no | norwegian | - | th | thai | - | ur | urdu | - | hr | croatian | - | bg | bulgarian | - | lt | lithuanian | - | la | latin | - | mi | maori | - | ml | malayalam | - | cy | welsh | - | sk | slovak | - | te | telugu | - | fa | persian | - | lv | latvian | - | bn | bengali | - | sr | serbian | - | az | azerbaijani | - | sl | slovenian | - | kn | kannada | - | et | estonian | - | mk | macedonian | - | br | breton | - | eu | basque | - | is | icelandic | - | hy | armenian | - | ne | nepali | - | mn | mongolian | - | bs | bosnian | - | kk | kazakh | - | sq | albanian | - | sw | swahili | - | gl | galician | - | mr | marathi | - | pa | punjabi | - | si | sinhala | - | km | khmer | - | sn | shona | - | yo | yoruba | - | so | somali | - | af | afrikaans | - | oc | occitan | - | ka | georgian | - | be | belarusian | - | tg | tajik | - | sd | sindhi | - | gu | gujarati | - | am | amharic | - | yi | yiddish | - | lo | lao | - | uz | uzbek | - | fo | faroese | - | ht | haitian creole | - | ps | pashto | - | tk | turkmen | - | nn | nynorsk | - | mt | maltese | - | sa | sanskrit | - | lb | luxembourgish | - | my | myanmar | - | bo | tibetan | - | tl | tagalog | - | mg | malagasy | - | as | assamese | - | tt | tatar | - | haw | hawaiian | - | ln | lingala | - | ha | hausa | - | ba | bashkir | - | jw | javanese | - | su | sundanese | +# | **Code** | **Name** | +# |:-------------------------------------------:|:--------------------:| +# | en | english | +# | zh | chinese | +# | de | german | +# | es | spanish | +# | ru | russian | +# | ko | korean | +# | fr | french | +# | ja | japanese | +# | pt | portuguese | +# | tr | turkish | +# | pl | polish | +# | ca | catalan | +# | nl | dutch | +# | ar | arabic | +# | sv | swedish | +# | it | italian | +# | id | indonesian | +# | hi | hindi | +# | fi | finnish | +# | vi | vietnamese | +# | iw | hebrew | +# | uk | ukrainian | +# | el | greek | +# | ms | malay | +# | cs | czech | +# | ro | romanian | +# | da | danish | +# | hu | hungarian | +# | ta | tamil | +# | no | norwegian | +# | th | thai | +# | ur | urdu | +# | hr | croatian | +# | bg | bulgarian | +# | lt | lithuanian | +# | la | latin | +# | mi | maori | +# | ml | malayalam | +# | cy | welsh | +# | sk | slovak | +# | te | telugu | +# | fa | persian | +# | lv | latvian | +# | bn | bengali | +# | sr | serbian | +# | az | azerbaijani | +# | sl | slovenian | +# | kn | kannada | +# | et | estonian | +# | mk | macedonian | +# | br | breton | +# | eu | basque | +# | is | icelandic | +# | hy | armenian | +# | ne | nepali | +# | mn | mongolian | +# | bs | bosnian | +# | kk | kazakh | +# | sq | albanian | +# | sw | swahili | +# | gl | galician | +# | mr | marathi | +# | pa | punjabi | +# | si | sinhala | +# | km | khmer | +# | sn | shona | +# | yo | yoruba | +# | so | somali | +# | af | afrikaans | +# | oc | occitan | +# | ka | georgian | +# | be | belarusian | +# | tg | tajik | +# | sd | sindhi | +# | gu | gujarati | +# | am | amharic | +# | yi | yiddish | +# | lo | lao | +# | uz | uzbek | +# | fo | faroese | +# | ht | haitian creole | +# | ps | pashto | +# | tk | turkmen | +# | nn | nynorsk | +# | mt | maltese | +# | sa | sanskrit | +# | lb | luxembourgish | +# | my | myanmar | +# | bo | tibetan | +# | tl | tagalog | +# | mg | malagasy | +# | as | assamese | +# | tt | tatar | +# | haw | hawaiian | +# | ln | lingala | +# | ha | hausa | +# | ba | bashkir | +# | jw | javanese | +# | su | sundanese | version: '0.2.0' x-subscribelink: whisper_asr_large_file x-apitype: large file @@ -536,7 +536,7 @@ components: x-name: timestamps type: string default: true - example: en + example: 'true' description: |+ Whether you want to get output in timestamps or not. If you don't want timestamp don't pass the attribute timestamps timestamp_type: From 65c09c1d4ec37c048e83032fb600d872a1d9314f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 9 May 2023 16:34:28 +0530 Subject: [PATCH 5864/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 2026c55f9..d41991ffb 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -130,7 +130,7 @@ info: servers: - url: 'https://dev-apis.sentient.io/async' tags: -- name: "v0.2.0" +- name: "v1.0.0" description: "Published Date - May 09, 2023" paths: /microservices/voice/whisperasrlp/v0/getuploadurl: From b47415106a69bbf02a54f89f2d0caea8f6803cfc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 9 May 2023 16:53:30 +0530 Subject: [PATCH 5865/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index d41991ffb..398716cec 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -138,7 +138,7 @@ paths: Get the token to upload the file. post: tags: - - v0.2.0 + - v1.0.0 responses: '200': description: Ok @@ -226,7 +226,7 @@ paths: - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - - v0.1.0 + - v1.0.0 requestBody: content: multipart/form-data: @@ -249,7 +249,7 @@ paths: Query for processing status. get: tags: - - v0.1.0 + - v1.0.0 parameters: - in: query name: jid From a4039e0a7d4285b580b6f0827ca6acaf9227f889 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 9 May 2023 16:56:23 +0530 Subject: [PATCH 5866/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 398716cec..c2292de59 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io/async' + - url: 'https://apis.sentient.io/async' tags: - name: "v1.0.0" description: "Published Date - May 09, 2023" From 9e4be57a64b5feb44d99c087b3c891a0da37980e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 12:00:08 +0530 Subject: [PATCH 5867/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 6b69c0e6b..601e3543a 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -25,7 +25,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io/async' + - url: 'https://apis.sentient.io/async' tags: - name: "v0.2.0" description: "Published Date - Oct 13, 2022" From a97fa474f370acc61b6c72386dba3044cbfdc06f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 12:00:24 +0530 Subject: [PATCH 5868/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index c006da855..2bc44142f 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -30,7 +30,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 01, 2022" From e5a89efd65cbaf7943fbaef08352fd3ad5b011c1 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 12:00:48 +0530 Subject: [PATCH 5869/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 101a6b0f3..5fe4ae1fd 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Aug 30, 2022" From ab894db3ee2bdef6d2fdc2f410d4c49045efec29 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 12:01:02 +0530 Subject: [PATCH 5870/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index f3c121240..8f42b8569 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -22,7 +22,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jul 08, 2022" From cdae6d0e9479b6f3d4ecc4a374491292bc3e4d7c Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 12:01:35 +0530 Subject: [PATCH 5871/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 123949d7f..a1b4637dc 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -24,7 +24,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Dec 30, 2021" From eed4e315ab192f6a8d7bc5fd118339b778b75977 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 12:01:59 +0530 Subject: [PATCH 5872/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index a71ccb9ab..5583e38d5 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -23,7 +23,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Dec 30, 2021" From 4682247e240f6a1e3d4c9f2260d730d09bc2d82b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 12:02:25 +0530 Subject: [PATCH 5873/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index 8d77b7258..c0fba885e 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -134,7 +134,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Mar 08, 2022" From a762ff90d48525835f10e198a7fc378c00ec5570 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 12:02:46 +0530 Subject: [PATCH 5874/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index ae52eb883..dfe879c05 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -22,7 +22,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Jul 13, 2022" From fb8c8c54a297a53c46c3e91aff034d65e883e21b Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:41:49 +0530 Subject: [PATCH 5875/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index dfe879c05..8faec1b8f 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -117,7 +117,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 107c8909390219fda9377ef3fe0d247684d43f5f Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:42:13 +0530 Subject: [PATCH 5876/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 5583e38d5..df3003c25 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -118,7 +118,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 0c09ea8f117acc57745048e6fd8872e880423be9 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:42:35 +0530 Subject: [PATCH 5877/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index c0fba885e..941914e8b 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -229,7 +229,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 90e42ce083acf08384b11063801933ef7a9079af Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:42:58 +0530 Subject: [PATCH 5878/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 5fe4ae1fd..93447f972 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -260,7 +260,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v1.0.0 From 8eb74f8f06f32c0e9b5076fe51d7c53f23638646 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:43:37 +0530 Subject: [PATCH 5879/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index a1b4637dc..1ccca69b9 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -119,7 +119,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From bb7f147f8d1780e9e7a503a18f4e8c5c261af79d Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:44:04 +0530 Subject: [PATCH 5880/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index c2292de59..c244dc85d 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -223,7 +223,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v1.0.0 From e38428c96d89412b63704c51db876396f3d6c301 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:44:29 +0530 Subject: [PATCH 5881/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 2bc44142f..c58778c29 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -125,7 +125,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 41b98108dd8a118d11da49dd41550c2174ec1cfe Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:44:49 +0530 Subject: [PATCH 5882/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 601e3543a..5c670c3aa 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -120,7 +120,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From f215fa0e240946e22df27a08393dbad24fbda81a Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:45:26 +0530 Subject: [PATCH 5883/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 5c670c3aa..2ce1671c9 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -120,7 +120,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 599738156a4a9b97b8c6ca9d0e2c5b77590bc1b5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:45:45 +0530 Subject: [PATCH 5884/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index c58778c29..47b068bc6 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -125,7 +125,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 094ff43e8efb258580806483ce1ee0aecd41eb56 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:46:01 +0530 Subject: [PATCH 5885/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 93447f972..06483346d 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -260,7 +260,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v1.0.0 From 7db33e6519e5857c2ea36a9881e0add8dec1f07e Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:46:24 +0530 Subject: [PATCH 5886/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index 8f42b8569..8d0908bb1 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -117,7 +117,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 1fa439897dfba0077d3325024a878caad4207af5 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:46:39 +0530 Subject: [PATCH 5887/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index c244dc85d..c075eae0c 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -223,7 +223,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v1.0.0 From fc360ba5ca16dc0cde2480a4c45c72d0469a6bf6 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:46:59 +0530 Subject: [PATCH 5888/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 1ccca69b9..6e065e326 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -119,7 +119,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 579cc63bfe045e1fb6f87d5c4e3f98ec801740de Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:47:20 +0530 Subject: [PATCH 5889/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index df3003c25..d68b596ee 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -118,7 +118,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v0.1.0 From da677aab41acda3fc60d345b6dc954f308640373 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:47:48 +0530 Subject: [PATCH 5890/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 8faec1b8f..2c80e2181 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -117,7 +117,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 0b46a349124141e1e880e24d71371d8a3960cd70 Mon Sep 17 00:00:00 2001 From: Swathirengas <93175959+Swathirengas@users.noreply.github.com> Date: Wed, 10 May 2023 14:48:29 +0530 Subject: [PATCH 5891/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index 941914e8b..bbffda71c 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -229,7 +229,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 39c84851aad880ffd0bac413f141c29835f86529 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 15:16:08 +0530 Subject: [PATCH 5892/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index c075eae0c..e5bceedee 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io/async' + - url: 'https://dev-apis.sentient.io/async' tags: - name: "v1.0.0" description: "Published Date - May 09, 2023" @@ -223,7 +223,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload' + - url: 'https://dev-apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v1.0.0 From d6b3e3ae098c30dde063447ac45994f149eaad40 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 16:01:01 +0530 Subject: [PATCH 5893/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 06483346d..aa6c0ffef 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Aug 30, 2022" @@ -260,7 +260,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload' + - url: 'https://dev-apis.sentient.io/async/largerpayload' description: Override base path for the GET /ping operation tags: - v1.0.0 From d58857f5eaf1eaf2b6de315f7515e828b7a99237 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 16:22:50 +0530 Subject: [PATCH 5894/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index aa6c0ffef..101a6b0f3 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -260,7 +260,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v1.0.0 From 5213c4e7d9f991142d1a8d73df94c574780cce0a Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 16:32:50 +0530 Subject: [PATCH 5895/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index e5bceedee..c244dc85d 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -128,7 +128,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io/async' + - url: 'https://apis.sentient.io/async' tags: - name: "v1.0.0" description: "Published Date - May 09, 2023" @@ -223,7 +223,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v1.0.0 From a722094d6fa2056d30e504d3f689518f91792c85 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 16:35:39 +0530 Subject: [PATCH 5896/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index c244dc85d..645836ffb 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -133,7 +133,7 @@ tags: - name: "v1.0.0" description: "Published Date - May 09, 2023" paths: - /microservices/voice/whisperasrlp/v0/getuploadurl: + /microservices/voice/whisperasrlp/v1/getuploadurl: description: |+ Get the token to upload the file. post: @@ -244,7 +244,7 @@ paths: status_code: 200 message: Process Started status: Processing - /microservices/voice/whisperasrlp/v0/getstatus: + /microservices/voice/whisperasrlp/v1/getstatus: description: |+ Query for processing status. get: From f8e17245f24736baa785bd5ac56f0404ff908aa6 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 16:47:23 +0530 Subject: [PATCH 5897/5916] Update google_asr_large_file.yaml --- voice/google_asr_large_file.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/voice/google_asr_large_file.yaml b/voice/google_asr_large_file.yaml index 101a6b0f3..93447f972 100644 --- a/voice/google_asr_large_file.yaml +++ b/voice/google_asr_large_file.yaml @@ -165,7 +165,7 @@ info: x-apidetailsdesc: |+ Kindly note that large file / asynchronous processing requires multiple steps and calling multiple API end-points sequentially to complete the entire processing. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apis.sentient.io' tags: - name: "v1.0.0" description: "Published Date - Aug 30, 2022" @@ -260,7 +260,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v1.0.0 From 96211300850af67a8c35c3a447d8dcc17faeb7d9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 17:02:48 +0530 Subject: [PATCH 5898/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index d68b596ee..5583e38d5 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -118,7 +118,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload' + - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 37b04c3968b0fba4fa166578d254def18c4dc3bc Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 17:04:16 +0530 Subject: [PATCH 5899/5916] Update text_summarization_large_file.yaml --- nlp/text_summarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/text_summarization_large_file.yaml b/nlp/text_summarization_large_file.yaml index 5583e38d5..df3003c25 100644 --- a/nlp/text_summarization_large_file.yaml +++ b/nlp/text_summarization_large_file.yaml @@ -118,7 +118,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://dev-apis.sentient.io/async/largerpayload/upload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From e55313242e7372176e5b1a464e52eec3faa13305 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 17:07:01 +0530 Subject: [PATCH 5900/5916] Update google_translate_large_file.yaml --- nlp/google_translate_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nlp/google_translate_large_file.yaml b/nlp/google_translate_large_file.yaml index bbffda71c..941914e8b 100644 --- a/nlp/google_translate_large_file.yaml +++ b/nlp/google_translate_large_file.yaml @@ -229,7 +229,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 0227d83a01c9e0170d6a07f6a39aeaec745d6c0f Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 17:08:21 +0530 Subject: [PATCH 5901/5916] Update people_counting_large_file.yaml --- computer_vision/people_counting_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/people_counting_large_file.yaml b/computer_vision/people_counting_large_file.yaml index 6e065e326..1ccca69b9 100644 --- a/computer_vision/people_counting_large_file.yaml +++ b/computer_vision/people_counting_large_file.yaml @@ -119,7 +119,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From ae3f559e6263ef6f4c4ae03876f0c565ab2975e9 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 17:09:17 +0530 Subject: [PATCH 5902/5916] Update thumbnail_generation_large_file.yaml --- computer_vision/thumbnail_generation_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/computer_vision/thumbnail_generation_large_file.yaml b/computer_vision/thumbnail_generation_large_file.yaml index 2c80e2181..8faec1b8f 100644 --- a/computer_vision/thumbnail_generation_large_file.yaml +++ b/computer_vision/thumbnail_generation_large_file.yaml @@ -117,7 +117,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From c00d500410d8bb98a0213d87562a2b4f49cacf22 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 17:10:45 +0530 Subject: [PATCH 5903/5916] Update speaker_diarization_large_file.yaml --- voice/speaker_diarization_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/speaker_diarization_large_file.yaml b/voice/speaker_diarization_large_file.yaml index 8d0908bb1..39288ae11 100644 --- a/voice/speaker_diarization_large_file.yaml +++ b/voice/speaker_diarization_large_file.yaml @@ -117,7 +117,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 013cd6f6fe109c6a7bf41b9bac199a9d2ac27b98 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 17:11:50 +0530 Subject: [PATCH 5904/5916] Update automatic_speech_recognition_eng_large_file.yaml --- voice/automatic_speech_recognition_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_eng_large_file.yaml b/voice/automatic_speech_recognition_eng_large_file.yaml index 47b068bc6..c58778c29 100644 --- a/voice/automatic_speech_recognition_eng_large_file.yaml +++ b/voice/automatic_speech_recognition_eng_large_file.yaml @@ -125,7 +125,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 454c4e05370db6dd33dee665f919e5fe2d08a96d Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 17:13:57 +0530 Subject: [PATCH 5905/5916] Update automatic_speech_recognition_chi_large_file.yaml --- voice/automatic_speech_recognition_chi_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/automatic_speech_recognition_chi_large_file.yaml b/voice/automatic_speech_recognition_chi_large_file.yaml index 2ce1671c9..5c670c3aa 100644 --- a/voice/automatic_speech_recognition_chi_large_file.yaml +++ b/voice/automatic_speech_recognition_chi_large_file.yaml @@ -120,7 +120,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://apis.sentient.io/async/largerpayload' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From 8e7579f13b1b4a95586b49510c73c14827fd9432 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Wed, 10 May 2023 17:14:39 +0530 Subject: [PATCH 5906/5916] Update asr_with_voice_activity_detection_eng_large_file.yaml --- voice/asr_with_voice_activity_detection_eng_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/asr_with_voice_activity_detection_eng_large_file.yaml b/voice/asr_with_voice_activity_detection_eng_large_file.yaml index c97e12f5a..a8f582c57 100644 --- a/voice/asr_with_voice_activity_detection_eng_large_file.yaml +++ b/voice/asr_with_voice_activity_detection_eng_large_file.yaml @@ -132,7 +132,7 @@ paths: Upload your file to start processing. post: servers: - - url: 'https://storage.googleapis.com/lp_user_space_prod/' + - url: 'https://apis.sentient.io/async/largerpayload/upload' description: Override base path for the GET /ping operation tags: - v0.1.0 From a8f8338cd7d75de0f83301f563ba962d036ffd11 Mon Sep 17 00:00:00 2001 From: hailu_sentient <105261773+Hayagirivan@users.noreply.github.com> Date: Thu, 11 May 2023 13:15:43 +0530 Subject: [PATCH 5907/5916] Update base64_file_decode.yaml --- utility/base64_file_decode.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utility/base64_file_decode.yaml b/utility/base64_file_decode.yaml index cc15e603d..b989c3cce 100644 --- a/utility/base64_file_decode.yaml +++ b/utility/base64_file_decode.yaml @@ -22,7 +22,7 @@ info: x-apidetailsdesc: |+ Convert Base64 encoded text string to binary file. servers: - - url: 'https://apis.sentient.io' + - url: 'https://dev-apis.sentient.io' tags: - name: "v0.2.0" description: "Published Date - Jul 13, 2022" From 21717637d54d47df8ff71a78f624d6b9e085519c Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Thu, 18 May 2023 11:13:53 +0530 Subject: [PATCH 5908/5916] Update online_command_automatic_speech_recognition_eng.yaml --- voice/online_command_automatic_speech_recognition_eng.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/online_command_automatic_speech_recognition_eng.yaml b/voice/online_command_automatic_speech_recognition_eng.yaml index acffd26ed..cd9645901 100644 --- a/voice/online_command_automatic_speech_recognition_eng.yaml +++ b/voice/online_command_automatic_speech_recognition_eng.yaml @@ -20,7 +20,7 @@ tags: - name: "v0.1.0" description: "Published Date - Aug 31, 2020" html: |+ - paths: /: From 2c3b69b62ae63525ff2cb43cebf7bfa0db4b881e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 26 May 2023 15:01:46 +0530 Subject: [PATCH 5909/5916] Update whisper_asr_large_file.yaml --- voice/whisper_asr_large_file.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr_large_file.yaml b/voice/whisper_asr_large_file.yaml index 645836ffb..f910354d5 100644 --- a/voice/whisper_asr_large_file.yaml +++ b/voice/whisper_asr_large_file.yaml @@ -112,7 +112,7 @@ info: # | ba | bashkir | # | jw | javanese | # | su | sundanese | - version: '0.2.0' + version: '1.0.0' x-subscribelink: whisper_asr_large_file x-apitype: large file x-apitypedescription: |+ From 6637b0be5c9ef3aa366574be817da0c4b706d606 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Fri, 26 May 2023 16:13:55 +0530 Subject: [PATCH 5910/5916] Update carpark_hdb_sg.yaml --- data/carpark_hdb_sg.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/carpark_hdb_sg.yaml b/data/carpark_hdb_sg.yaml index 8a05cacbe..dfda2e9e4 100644 --- a/data/carpark_hdb_sg.yaml +++ b/data/carpark_hdb_sg.yaml @@ -84,7 +84,7 @@ info: > querystring = "bishan street 22" > filterdata = {"filter":[ {"range":{"lorry":{"gte":1}}} ]} - version: '1.1.0' + version: '1.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call From e4ff5e47bc4a1b59f44a0ba417c267ba21e46c6c Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 29 May 2023 13:16:32 +0530 Subject: [PATCH 5911/5916] Update directory_of_singapore_startups.yaml --- data/directory_of_singapore_startups.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/directory_of_singapore_startups.yaml b/data/directory_of_singapore_startups.yaml index 2ae9a0bc5..ed59aeb93 100644 --- a/data/directory_of_singapore_startups.yaml +++ b/data/directory_of_singapore_startups.yaml @@ -68,7 +68,7 @@ info: > "should":[{"match":{"status.e27":"active"}}], > "must_not":[{"match":{"yearestablished.e27":"2016"}}] > } - version: '1.1.0' + version: '1.0.1' x-apitype: small file x-apitypedescription: |+ Fast | Single-Call | 10MB/Call From 03e41361ee186054393b973a54fd9f076fff0337 Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Mon, 29 May 2023 13:20:10 +0530 Subject: [PATCH 5912/5916] Update hdb_amenities_score.yaml --- data/hdb_amenities_score.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/data/hdb_amenities_score.yaml b/data/hdb_amenities_score.yaml index 73fae37ae..6d331b1b6 100644 --- a/data/hdb_amenities_score.yaml +++ b/data/hdb_amenities_score.yaml @@ -4,7 +4,7 @@ info: title: HDB Amenities Score description: |+ This Data microservice returns amenity scores for various amenity types with an input of a Singapore postal code. - version: v0.1.1 + version: v0.2.0 x-subscribelink: hdb_amenities_score x-apitype: small file x-apitypedescription: |+ @@ -20,15 +20,15 @@ info: x-apidetailsdesc: |+ Provides amenity scores for various amenity types with an input of a Singapore postal code. servers: - - url: 'https://dev-apis.sentient.io' + - url: 'https://apish.sentient.io' tags: -- name: "v0.1.1" - description: "Published Date - Jan 10, 2023" +- name: "0.2.0" + description: "Published Date - Jul 13, 2022" paths: /microservices/data/fetchamenityscore/v0/getpredictions: post: tags: - - v0.1.1 + - v0.2.0 responses: '200': description: success response @@ -281,13 +281,13 @@ components: versions: type: object properties: - v0.1.1: + v0.2.0: type: array items: oneOf: - type: string - example: Published Date - Jan 10, 2023 - x-details: Error handler fix + example: Published Date - Jul 13, 2022 + x-details: Fast conversion description: Latest Version v0.1.0: type: array From d161565b33e8480c8717cfd16e7224dd101d186e Mon Sep 17 00:00:00 2001 From: rameshsentient <51635015+rameshsentient@users.noreply.github.com> Date: Tue, 30 May 2023 09:58:25 +0530 Subject: [PATCH 5913/5916] Update hdb_amenities_score.yaml --- data/hdb_amenities_score.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/hdb_amenities_score.yaml b/data/hdb_amenities_score.yaml index 6d331b1b6..56a12eda7 100644 --- a/data/hdb_amenities_score.yaml +++ b/data/hdb_amenities_score.yaml @@ -4,7 +4,7 @@ info: title: HDB Amenities Score description: |+ This Data microservice returns amenity scores for various amenity types with an input of a Singapore postal code. - version: v0.2.0 + version: 0.2.0 x-subscribelink: hdb_amenities_score x-apitype: small file x-apitypedescription: |+ From 7fb1ebaea946bd46b77d76720b37445b8d231e17 Mon Sep 17 00:00:00 2001 From: hailu_sentient <105261773+Hayagirivan@users.noreply.github.com> Date: Wed, 21 Jun 2023 14:43:37 +0530 Subject: [PATCH 5914/5916] Update whisper_asr.yaml --- voice/whisper_asr.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/voice/whisper_asr.yaml b/voice/whisper_asr.yaml index 09cb4b8ae..b61e79310 100644 --- a/voice/whisper_asr.yaml +++ b/voice/whisper_asr.yaml @@ -130,7 +130,7 @@ info: x-apidetailsdesc: |+ Supports recognizing short speech and returns the recognition for Small Files. servers: - - url: 'https://apis.sentient.io' + - url: 'https://apish.sentient.io' tags: - name: "v0.1.0" description: "Published Date - Oct 20, 2022" From c15331a738de47ed6826e737aadd3896a720c97f Mon Sep 17 00:00:00 2001 From: karunakarv <76933934+karunakarv@users.noreply.github.com> Date: Wed, 21 Jun 2023 15:37:31 +0530 Subject: [PATCH 5915/5916] Add alfred files --- D:/New folder/test_file.zip | 1 + 1 file changed, 1 insertion(+) create mode 100644 D:/New folder/test_file.zip diff --git a/D:/New folder/test_file.zip b/D:/New folder/test_file.zip new file mode 100644 index 000000000..368220df5 --- /dev/null +++ b/D:/New folder/test_file.zip @@ -0,0 +1 @@ +"test_file.zip" \ No newline at end of file From 8cc7876a8a6c7a6f68c21730e6ad02ea9bac5feb Mon Sep 17 00:00:00 2001 From: Daniel-Arun <52769686+Daniel-Arun@users.noreply.github.com> Date: Wed, 21 Jun 2023 16:19:07 +0530 Subject: [PATCH 5916/5916] Delete D: directory --- D:/New folder/test_file.zip | 1 - 1 file changed, 1 deletion(-) delete mode 100644 D:/New folder/test_file.zip diff --git a/D:/New folder/test_file.zip b/D:/New folder/test_file.zip deleted file mode 100644 index 368220df5..000000000 --- a/D:/New folder/test_file.zip +++ /dev/null @@ -1 +0,0 @@ -"test_file.zip" \ No newline at end of file